Pub Date : 2023-07-21DOI: 10.24114/cess.v8i2.46827
Muhammad Hanafi Saputra, Harni Kusniyati
Toko Mba Tik merupakan salah satu toko yang melayani penjualan berbagai jenis kebutuhan kerumahan seperti beras, gula, jajanan, sabun dan lain-lain, serta beberapa jenis barang dalam skala besar dan juga kecil. Saat ini Toko Mba Tik memiliki sistem transaksi penjualan dan pembelian yang masih menggunakan sistem manual yaitu dengan melakukan pencatatan di dalam buku besar. Untuk sebagai pemecahnya, dirancangnya suatu aplikasi atau sistem informasi penjualan yang berbasis web yang diharapkan akan dapat membantu dalam memproses dan menyimpan data (laporan) dengan cepat, ringkas, dan rapih sekaligus menghemat waktu dan uang. Sistem Informasi Penjualan ini nantinya akan menggunakan Algoritma Selection Sort dan Sequential Search. Penggunaan Algortima Selection Sort berfungsi untuk mengurutkan data dari nilai terkecil ke terbesar atau sebaliknya, sedangkan untuk penggunaan Algoritma Sequential Searching berfungsi untuk mendapatkan atau mencari suatu informasi data dapat lebih mudah dan cepat. Setelah dilakukan 2 kali percobaan pengujian pencarian data dengan metode Sequential Search, pengujian kecepatan pencarian dengan microtime menunjukkan bahwa Algoritma Sequential Search memiliki kinerja yang cepat, dengan rata-rata waktu pencarian sekitar 0,002 detik untuk jumlah data yang tidak terlalu besar atau terbatas.Mba Tik shop is one of the shops that sells various types of household needs such as rice, sugar, snacks, soap and others, as well as several types of goods on a large and small scale. Currently, Toko Mba Tik has a sales and purchase transaction system that still uses a manual system, namely by recording it in a ledger. As a solution, a computer-based sales information system is designed which is expected to be able to assist in processing and storing data (reports) quickly, concisely and neatly as well as saving time and costs. This Sales Information System will later use Selection Sort and Sequential Search Algorithms. The use of the Selection Sort Algorithm functions to sort data from the smallest to the largest value or vice versa, while the use of the Sequential Searching Algorithm functions to obtain or search for data information more easily and quickly. After conducting 2 trials of testing data search using the Sequential Search method, testing the search speed with the microtime function shows that the Sequential Search Algortima can perform searches quickly, namely an average of 0.002 seconds for data that is relatively limited or not too much.
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Pub Date : 2023-07-21DOI: 10.24114/cess.v8i2.47096
B. Kurniawan, Ikhwan Ruslianto
Indonesia merupakan salah satu negara yang memiliki tingkat kejahatan siber yang sangat tinggi di dunia. Masalah tersebut timbul akibat sumber daya manusia yang kurang memadai dan kurangnya perawatan berkala pada sistem digital di Indonesia. Salah satu perawatan yang dapat dilakukan adalah Penetration Testing sebagai evaluasi sistem digital agar lebih baik dan terhindar dari serangan siber. Metode yang dapat membantu dalam melakukan Penetration Testing adalah dengan metode Penetration Testing Execution Standard (PTES). Hasil yang didapatkan dari penelitian ini bahwa website https://k*****.go.id memiliki tiga belas kerentanan. Sehingga dari tiga belas kerentanan yang didapatkan dilakukan dengan tiga jenis serangan yang berbeda yaitu Clickjacking, SQL Injection, dan Cross Site Scripting (XSS). Ketiga jenis serangan tersebut hanya serangan Clickjacking yang berhasil dilakukan pada website https://k*****.go.id. Diperoleh kesimpulan bahwa website memiliki risiko kerentanan dan terjadinya serangan bernilai sedang dilihat berdasarkan OWASP ZAP Risk Rating Methodology.Indonesia is a country that has a very high cybercrime rate in the world. This problem arises due to inadequate human resources and a lack of regular maintenance of digital systems in Indonesia. One of the treatments that can be done is Penetration Testing as an evaluation of digital systems to make them better and avoid cyber attacks. A method that can assist in carrying out Penetration Testing is the Penetration Testing Execution Standard (PTES) method. The results obtained from this research are that the website https://k*****.go.id has thirteen vulnerabilities. So that the thirteen vulnerabilities found were carried out with three different types of attacks, namely Clickjacking, SQL Injection, and Cross Site Scripting (XSS). The only three types of attacks are clickjacking attacks that were successfully carried out on the https://k*****.go.id website. It is concluded that the website has a risk of vulnerability and the occurrence of attacks is worth being seen based on the OWASP ZAP Risk Rating Methodology.
{"title":"Implementation of Penetration Testing on the Website Using the Penetration Testing Execution Standard (PTES) Method","authors":"B. Kurniawan, Ikhwan Ruslianto","doi":"10.24114/cess.v8i2.47096","DOIUrl":"https://doi.org/10.24114/cess.v8i2.47096","url":null,"abstract":"Indonesia merupakan salah satu negara yang memiliki tingkat kejahatan siber yang sangat tinggi di dunia. Masalah tersebut timbul akibat sumber daya manusia yang kurang memadai dan kurangnya perawatan berkala pada sistem digital di Indonesia. Salah satu perawatan yang dapat dilakukan adalah Penetration Testing sebagai evaluasi sistem digital agar lebih baik dan terhindar dari serangan siber. Metode yang dapat membantu dalam melakukan Penetration Testing adalah dengan metode Penetration Testing Execution Standard (PTES). Hasil yang didapatkan dari penelitian ini bahwa website https://k*****.go.id memiliki tiga belas kerentanan. Sehingga dari tiga belas kerentanan yang didapatkan dilakukan dengan tiga jenis serangan yang berbeda yaitu Clickjacking, SQL Injection, dan Cross Site Scripting (XSS). Ketiga jenis serangan tersebut hanya serangan Clickjacking yang berhasil dilakukan pada website https://k*****.go.id. Diperoleh kesimpulan bahwa website memiliki risiko kerentanan dan terjadinya serangan bernilai sedang dilihat berdasarkan OWASP ZAP Risk Rating Methodology.Indonesia is a country that has a very high cybercrime rate in the world. This problem arises due to inadequate human resources and a lack of regular maintenance of digital systems in Indonesia. One of the treatments that can be done is Penetration Testing as an evaluation of digital systems to make them better and avoid cyber attacks. A method that can assist in carrying out Penetration Testing is the Penetration Testing Execution Standard (PTES) method. The results obtained from this research are that the website https://k*****.go.id has thirteen vulnerabilities. So that the thirteen vulnerabilities found were carried out with three different types of attacks, namely Clickjacking, SQL Injection, and Cross Site Scripting (XSS). The only three types of attacks are clickjacking attacks that were successfully carried out on the https://k*****.go.id website. It is concluded that the website has a risk of vulnerability and the occurrence of attacks is worth being seen based on the OWASP ZAP Risk Rating Methodology.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43476587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-21DOI: 10.24114/cess.v8i2.48161
G. Indrawan, I. W. D. P. Artawan, I. Saputra, I. K. D. Supanji, I. Gunawan
Penelitian ini bertujuan untuk mengoptimalkan sistem E-Learning Universitas Pendidikan Ganesha (Undiksha) dengan meminimalisir dampak negatif yang terkait, seperti mata lelah, kurangnya interaksi sosial, dan kurangnya pemahaman terhadap materi pembelajaran. Metode End-User Computing Satisfaction (EUCS) digunakan untuk mengukur tingkat kepuasan pengguna, yaitu mahasiswa Program Studi Ilmu Komputer, Program Pascasarjana, Undiksha, terhadap sistem E-Learning yang ada. Data penelitian dikumpulkan melalui kuesioner yang diisi oleh mahasiswa dan kemudian dianalisis untuk mengidentifikasi area-area yang memerlukan perbaikan dalam sistem E-Learning. Selain itu, faktor-faktor teknis dan struktural juga dipertimbangkan dalam penelitian ini. Hasil penelitian menunjukkan evaluasi isi berada di angka 3,4175, akurasi di angka 4, bentuk di angka 4,165, ketepatan waktu di angka 3,93 dan kemudahan penggunaan adalah 3,905. Dari hasil tersebut secara keseluruhan tingkat kepuasan pengguna berada di nilai rata-rata sebesar 3,8835 yang berada pada level 3 (Setuju). Hal ini menunjukkan bahwa pengguna sistem yang disediakan oleh Universitas memenuhi kebutuhan dan memberikan pengalaman yang positif dalam pengoperasian platform tersebut. Disarankan agar Undiksha meningkatkan sistem E-Learning untuk mencapai rentang nilai yang lebih tinggi dalam evaluasi kepuasan pengguna di masa depan, sambil memberikan rekomendasi bagi peneliti selanjutnya untuk mengembangkan kuesioner dengan indikator yang lebih optimal sesuai dengan konteks penelitian.This research aimed to optimize the E-Learning system of Universitas Pendidikan Ganesha (Undiksha) by minimizing the associated negative impacts, such as eye strain, lack of social interaction, and inadequate understanding of the learning materials. The End-User Computing Satisfaction (EUCS) method was used to measure the satisfaction level of users, specifically the students of the Computer Science of Graduate Programs at Undiksha, towards the existing E-Learning system. Research data was collected through questionnaires filled out by students and then analyzed to identify areas that require improvement in the E-Learning system. Additionally, technical and structural factors were also considered in this study. The research results show that the content evaluation, accuracy, format, timeliness, and ease of use were at 3.4175, 4, 4.165, 3.93, and 3.905, respectively. From these results, the overall level of user satisfaction was at an average value of 3.8835 which was at level 3 (Agree). This indicates that the users find the system provided by the university to meet their needs and provide a positive experience in operating the platform. It is recommended that Undiksha improves the E-Learning system to achieve a higher range of values in future user satisfaction evaluations while providing recommendations for further researchers to develop a questionnaire with more optimal indicators according to the research context.
本研究旨在优化Ganesha教育E-Learning系统(Undiksha)，尽量减少相关负面影响，如疲惫的眼睛、缺乏社会互动和对学习材料的理解。对目前存在的电子学习系统的学生，计算机科学专业的学生，研究生，Undiksha，用来测量用户的满意度。研究数据通过学生填写的调查问卷收集，然后分析，以确定E-Learning系统中需要改进的区域。此外，这项研究还考虑了技术和结构因素。研究表明内容评估为3.4175，准确性为4，形状为4.165，准时为3.93，可行性为3,905。总的来说，用户满意度是3级3.8835的平均值。这表明，大学提供的系统用户满足了需求，并提供了积极的平台运行经验。建议Undiksha改进的电子学习系统，在评估未来用户满意度方面达到更高的价值范围，并为未来的研究人员提供建议，根据研究环境制定一个更理想的指标。这项研究使甘尼萨教育的E-Learning系统(Undiksha)优化了消极的联想、such as eye品系、社会互动缺乏和对学习材料的理解。这种应用程序的最终用户满意度被用来衡量用户的满意水平，特别是Undiksha的计算机科学学位，到存在的E-Learning系统。研究数据是通过学生提出的问题收集的，然后分析以识别E-Learning系统中不断增长的require改进的领域。另外，技术和结构因素也被考虑在这项研究中。研究结果显示，准确、准确、格式化、测量、时间、使用时间和效率分别是3点4175分、4点165分、3点93分和3 905分。从这些建议中，过度的用户满足水平处于3.8835的平均水平，这是3级(Agree)。利用大学提供的系统提供满足他们在运营平台上的需要和提供积极的经验的参与。它重申，除非引入E-Learning系统，以实现对未来用户满意的评估中高水平的价值，否则要求更多的审查提出更优条件的问题。
{"title":"Analysis of Undiksha E-Learning User Satisfaction Using the End-User Computing Satisfaction (EUCS) Method","authors":"G. Indrawan, I. W. D. P. Artawan, I. Saputra, I. K. D. Supanji, I. Gunawan","doi":"10.24114/cess.v8i2.48161","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48161","url":null,"abstract":"Penelitian ini bertujuan untuk mengoptimalkan sistem E-Learning Universitas Pendidikan Ganesha (Undiksha) dengan meminimalisir dampak negatif yang terkait, seperti mata lelah, kurangnya interaksi sosial, dan kurangnya pemahaman terhadap materi pembelajaran. Metode End-User Computing Satisfaction (EUCS) digunakan untuk mengukur tingkat kepuasan pengguna, yaitu mahasiswa Program Studi Ilmu Komputer, Program Pascasarjana, Undiksha, terhadap sistem E-Learning yang ada. Data penelitian dikumpulkan melalui kuesioner yang diisi oleh mahasiswa dan kemudian dianalisis untuk mengidentifikasi area-area yang memerlukan perbaikan dalam sistem E-Learning. Selain itu, faktor-faktor teknis dan struktural juga dipertimbangkan dalam penelitian ini. Hasil penelitian menunjukkan evaluasi isi berada di angka 3,4175, akurasi di angka 4, bentuk di angka 4,165, ketepatan waktu di angka 3,93 dan kemudahan penggunaan adalah 3,905. Dari hasil tersebut secara keseluruhan tingkat kepuasan pengguna berada di nilai rata-rata sebesar 3,8835 yang berada pada level 3 (Setuju). Hal ini menunjukkan bahwa pengguna sistem yang disediakan oleh Universitas memenuhi kebutuhan dan memberikan pengalaman yang positif dalam pengoperasian platform tersebut. Disarankan agar Undiksha meningkatkan sistem E-Learning untuk mencapai rentang nilai yang lebih tinggi dalam evaluasi kepuasan pengguna di masa depan, sambil memberikan rekomendasi bagi peneliti selanjutnya untuk mengembangkan kuesioner dengan indikator yang lebih optimal sesuai dengan konteks penelitian.This research aimed to optimize the E-Learning system of Universitas Pendidikan Ganesha (Undiksha) by minimizing the associated negative impacts, such as eye strain, lack of social interaction, and inadequate understanding of the learning materials. The End-User Computing Satisfaction (EUCS) method was used to measure the satisfaction level of users, specifically the students of the Computer Science of Graduate Programs at Undiksha, towards the existing E-Learning system. Research data was collected through questionnaires filled out by students and then analyzed to identify areas that require improvement in the E-Learning system. Additionally, technical and structural factors were also considered in this study. The research results show that the content evaluation, accuracy, format, timeliness, and ease of use were at 3.4175, 4, 4.165, 3.93, and 3.905, respectively. From these results, the overall level of user satisfaction was at an average value of 3.8835 which was at level 3 (Agree). This indicates that the users find the system provided by the university to meet their needs and provide a positive experience in operating the platform. It is recommended that Undiksha improves the E-Learning system to achieve a higher range of values in future user satisfaction evaluations while providing recommendations for further researchers to develop a questionnaire with more optimal indicators according to the research context.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43111047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.24114/cess.v8i2.48212
Indra Chaidir
Penolakan usulan nama baru program studi vokasi pada Aplikasi Silemkerma di Direktorat Jenderal Pendidikan Tinggi Vokasi, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi sering terjadi karena terdapat kemiripan nama program studi yang diusulkan dengan nama program studi yang sudah ada di dalam basis data. Banyak data tidak ditemukan karena filter data menggunakan metode konvensional dalam kasus ini menggunakan operator ILIKE dengan pola wildcard character % (percent), sedangkan data yang dicari tersedia di dalam basis data. Ini terjadi dikarenakan operator ILIKE tidak dapat membaca perubahan kata dari leksem/akar kata (root word) seperti "pengelolaan" dengan memiliki prefix dan suffix, dengan akar kata "kelola". Mengatasi permasalahan ini, penulis memanfaatkan Algoritma Nazief & Adriani untuk stemming agar mendapatkan leksem dari kalimat yang dimasukan. Hasil algoritma tersebut terus diolah menggunakan Metode Parsing Queries, salah satu metode Full Text Search yang ada pada basis data PostgresQL. Hasil penelitian ini dapat diimplementasikan pada Aplikasi tersebut.Rejection of new vocational study program name proposals in Silemkerma Application at the Directorate General of Vocational Higher Education, Ministry of Education, Culture, Research, and Technology often occurs because there is a similarity between the proposed study program name and the existing study program name in the database. Many data are not found because the data filter uses conventional methods in this case using the ILIKE operator with the wildcard character pattern % (percent), while the data sought is available in the database. This is because the ILIKE operator cannot read word changes from lexemes/root words such as "pengelolaan" which has a prefix and suffix, with the root word "kelola". Overcoming this problem, the author utilizes the Nazief & Adriani Algorithm for stemming in order to get lexemes from the sentences entered. The results of the algorithm are then processed using the Parsing Queries Method, one of the Full Text Search methods available in the PostgresQL database. The results of this research can be implemented in the application.
{"title":"Collaboration of Nazief & Adriani Stemming Algorithm with PostgreSQL Queries Parsing Method to Search for New Study Program Names","authors":"Indra Chaidir","doi":"10.24114/cess.v8i2.48212","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48212","url":null,"abstract":"Penolakan usulan nama baru program studi vokasi pada Aplikasi Silemkerma di Direktorat Jenderal Pendidikan Tinggi Vokasi, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi sering terjadi karena terdapat kemiripan nama program studi yang diusulkan dengan nama program studi yang sudah ada di dalam basis data. Banyak data tidak ditemukan karena filter data menggunakan metode konvensional dalam kasus ini menggunakan operator ILIKE dengan pola wildcard character % (percent), sedangkan data yang dicari tersedia di dalam basis data. Ini terjadi dikarenakan operator ILIKE tidak dapat membaca perubahan kata dari leksem/akar kata (root word) seperti \"pengelolaan\" dengan memiliki prefix dan suffix, dengan akar kata \"kelola\". Mengatasi permasalahan ini, penulis memanfaatkan Algoritma Nazief & Adriani untuk stemming agar mendapatkan leksem dari kalimat yang dimasukan. Hasil algoritma tersebut terus diolah menggunakan Metode Parsing Queries, salah satu metode Full Text Search yang ada pada basis data PostgresQL. Hasil penelitian ini dapat diimplementasikan pada Aplikasi tersebut.Rejection of new vocational study program name proposals in Silemkerma Application at the Directorate General of Vocational Higher Education, Ministry of Education, Culture, Research, and Technology often occurs because there is a similarity between the proposed study program name and the existing study program name in the database. Many data are not found because the data filter uses conventional methods in this case using the ILIKE operator with the wildcard character pattern % (percent), while the data sought is available in the database. This is because the ILIKE operator cannot read word changes from lexemes/root words such as \"pengelolaan\" which has a prefix and suffix, with the root word \"kelola\". Overcoming this problem, the author utilizes the Nazief & Adriani Algorithm for stemming in order to get lexemes from the sentences entered. The results of the algorithm are then processed using the Parsing Queries Method, one of the Full Text Search methods available in the PostgresQL database. The results of this research can be implemented in the application.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48977643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-15DOI: 10.24114/cess.v8i2.48030
Muhammad Aldi Muthian, Rahayu Amalia
Space rent adalah layanan kerjasama yang ditawarkan oleh Balai Pengelola Kereta Api Ringan Sumatera Selatan untuk calon mitra kerjasama. Space rent ialah layanan dalam bidang kerjasama yang cukup menjanjikan. Akan tetapi, untuk pemasaran dan reservasi space rent masih dilakukan secara manual dan diharuskan mengikuti proses bisnis yang sedang berjalan. Pada penelitian ini berupaya memberikan solusi untuk memfasilitasi pihak Balai Pengelola Kereta Api Ringan Sumatera Selatan dalam pemasaran dan promosi serta calon mitra kerjasama untuk reservasi space rent, yang dimana akan dibangun aplikasi pemasaran berbasis android menggunakan metode pengembangan Rapid Application Development (RAD). Metode RAD yaitu metode yang relative singkat sehingga cukup efisien dan efektif dalam membangun aplikasi. Hasil dari penelitian ini berupa aplikasi pemasaran space rent menggunakan metode RAD yang dapat di akses melalui smartphone android. Dengan aplikasi ini diharapkan dapat membantu pemasaran, promosi, serta reservasi space rent.Space rent is a cooperation service offered by the South Sumatra Light Railroad Management Center for potential cooperation partners. Space rent is a service in the field of cooperation that is quite promising. However, marketing and space rent reservations are still done manually and are required to follow ongoing business processes. This research seeks to provide a solution to facilitate the South Sumatra Light Railroad Management Center in marketing and promotion as well as prospective partners for space rental reservations, which will develop an Android-based marketing application using the Rapid Application Development (RAD) development method. The RAD method is a relatively short method so it is quite efficient and effective in building applications. The results of this study are space rental marketing applications using the RAD method which can be accessed via an Android smartphone. With this application, it is hoped that it can help with marketing, promotion, and reservation of space rent.
{"title":"Marketing Applications of Android-Based Space Rent in the South Sumatra Light Rail Management Center Using the RAD Method","authors":"Muhammad Aldi Muthian, Rahayu Amalia","doi":"10.24114/cess.v8i2.48030","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48030","url":null,"abstract":"Space rent adalah layanan kerjasama yang ditawarkan oleh Balai Pengelola Kereta Api Ringan Sumatera Selatan untuk calon mitra kerjasama. Space rent ialah layanan dalam bidang kerjasama yang cukup menjanjikan. Akan tetapi, untuk pemasaran dan reservasi space rent masih dilakukan secara manual dan diharuskan mengikuti proses bisnis yang sedang berjalan. Pada penelitian ini berupaya memberikan solusi untuk memfasilitasi pihak Balai Pengelola Kereta Api Ringan Sumatera Selatan dalam pemasaran dan promosi serta calon mitra kerjasama untuk reservasi space rent, yang dimana akan dibangun aplikasi pemasaran berbasis android menggunakan metode pengembangan Rapid Application Development (RAD). Metode RAD yaitu metode yang relative singkat sehingga cukup efisien dan efektif dalam membangun aplikasi. Hasil dari penelitian ini berupa aplikasi pemasaran space rent menggunakan metode RAD yang dapat di akses melalui smartphone android. Dengan aplikasi ini diharapkan dapat membantu pemasaran, promosi, serta reservasi space rent.Space rent is a cooperation service offered by the South Sumatra Light Railroad Management Center for potential cooperation partners. Space rent is a service in the field of cooperation that is quite promising. However, marketing and space rent reservations are still done manually and are required to follow ongoing business processes. This research seeks to provide a solution to facilitate the South Sumatra Light Railroad Management Center in marketing and promotion as well as prospective partners for space rental reservations, which will develop an Android-based marketing application using the Rapid Application Development (RAD) development method. The RAD method is a relatively short method so it is quite efficient and effective in building applications. The results of this study are space rental marketing applications using the RAD method which can be accessed via an Android smartphone. With this application, it is hoped that it can help with marketing, promotion, and reservation of space rent.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44224040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-15DOI: 10.24114/cess.v8i2.48326
Disa Pratama, Raissa Amanda Putri
Di zaman sekarang ini terutama di era digital, fotografi dan videografi sudah semakin melekat di kehidupan kita. perkembangan teknologi membuat pengguna kamera terutama kamera digital semakin banyak namun tidak diiringi dengan media informasi. Minimnya media informasi mengenai kerusakan kamera terkhusus kamera dengan merk Sony yang merupakan salah satu merek kamera digital yang terkenal di Indonesia membuat seseorang sulit untuk mengetahui kerusakan yang dialami oleh kameranya. Selain itu kurangnya jumlah pakar yang tersebar menjadi salah satu kendala dalam mengetahui kerusakan yang sedang dialami. Untuk itu sistem pakar deteksi kerusakan kamera dibuat agar mengetahui jenis kerusakan dan kemudian diberikan alternative pemecahan masalah. Dengan demikian metoda dan algoritma yang digunakan adalah Case Based Reasoning (CBR) dengan menggunakan persamaan perhitungan 3W-Jaccard. Metode dan algoritma ini dapat digunakan untuk mendeteksi kerusakan berdasarkan gejala yang ada pada database. Setiap gejala baru yang di masukkan akan dibandingkan dengan gejala lama yang ada pada tabel kemudian akan diberikan hasil deteksi dan solusi terhadap kerusakan yang dialami.In this day and age, especially in the digital era, photography and videography are increasingly embedded in our lives. Technological developments make camera users, especially digital cameras more and more, but not accompanied by information media. The lack of media information regarding camera damage, especially cameras with the Sony brand, which is one of the well-known digital camera brands in Indonesia, makes it difficult for someone to know about the damage experienced by their camera. Besides that, the lack of scattered experts is one of the obstacles in knowing the damage that is being experienced. For this reason, an expert camera damage detection system was created to find out the type of damage and then provide alternative solutions to the problem. Thus the method and algorithm used is Case Based Reasoning (CBR) using the 3W-Jaccard calculation equation. These methods and algorithms can be used to detect damage based on the symptoms in the database. Each new symptom that is entered will be compared with the old existing symptom there is a table and then the detection results and solutions for the damage will be given.
{"title":"Expert System for Damage Detection on Sony Cameras Using the Case Based Reasoning (CBR) Method with the 3W-Jaccard Algorithm","authors":"Disa Pratama, Raissa Amanda Putri","doi":"10.24114/cess.v8i2.48326","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48326","url":null,"abstract":"Di zaman sekarang ini terutama di era digital, fotografi dan videografi sudah semakin melekat di kehidupan kita. perkembangan teknologi membuat pengguna kamera terutama kamera digital semakin banyak namun tidak diiringi dengan media informasi. Minimnya media informasi mengenai kerusakan kamera terkhusus kamera dengan merk Sony yang merupakan salah satu merek kamera digital yang terkenal di Indonesia membuat seseorang sulit untuk mengetahui kerusakan yang dialami oleh kameranya. Selain itu kurangnya jumlah pakar yang tersebar menjadi salah satu kendala dalam mengetahui kerusakan yang sedang dialami. Untuk itu sistem pakar deteksi kerusakan kamera dibuat agar mengetahui jenis kerusakan dan kemudian diberikan alternative pemecahan masalah. Dengan demikian metoda dan algoritma yang digunakan adalah Case Based Reasoning (CBR) dengan menggunakan persamaan perhitungan 3W-Jaccard. Metode dan algoritma ini dapat digunakan untuk mendeteksi kerusakan berdasarkan gejala yang ada pada database. Setiap gejala baru yang di masukkan akan dibandingkan dengan gejala lama yang ada pada tabel kemudian akan diberikan hasil deteksi dan solusi terhadap kerusakan yang dialami.In this day and age, especially in the digital era, photography and videography are increasingly embedded in our lives. Technological developments make camera users, especially digital cameras more and more, but not accompanied by information media. The lack of media information regarding camera damage, especially cameras with the Sony brand, which is one of the well-known digital camera brands in Indonesia, makes it difficult for someone to know about the damage experienced by their camera. Besides that, the lack of scattered experts is one of the obstacles in knowing the damage that is being experienced. For this reason, an expert camera damage detection system was created to find out the type of damage and then provide alternative solutions to the problem. Thus the method and algorithm used is Case Based Reasoning (CBR) using the 3W-Jaccard calculation equation. These methods and algorithms can be used to detect damage based on the symptoms in the database. Each new symptom that is entered will be compared with the old existing symptom there is a table and then the detection results and solutions for the damage will be given.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42158343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-15DOI: 10.24114/cess.v8i2.48220
S. Samsudin, Jumjumi Abullah, Dedyka Syahputra, Muhammad Hendrik Koto
Air sumur adalah mata air buatan yang digunakan oleh penduduk pedesaan. Air sumur memiliki banyak manfaat bagi masyarakat desa, misalnya untuk memasak, mandi, membersihkan/mencuci pakaian, dan juga untuk air minum. Mata air sumur juga harus memiliki nilai kesehatan yang tidak boleh membuat air tersebut tidak layak untuk diminum. Kebutuhan air bersih setiap tahunnya akan terus berkurang sementara kebutuhan air bersih semakin berkurang, hal ini disebabkan oleh banyaknya pembangunan infrastruktur yang dapat mengganggu potensi alam dan kelestarian air mineral. Analisis data penelitian ini bertujuan untuk menghasilkan rekomendasi penentuan kualitas air sumur minum di Desa Pangirkiran. Kriteria dan bobot yang digunakan adalah C1 = pH air (15%), C2 = jenis warna air (25%), C3 = bau air (30%), C4 = zat yang terkandung dalam air (15%), dan C5 = suhu air (15%), dari 25 alternatif yang digunakan diperoleh hasil rekomendasi penelitian yaitu dengan hasil rangking tertinggi dengan nilai hasil optimasi (34.63539523976). Penelitian ini bertujuan untuk menganalisis kualitas sumur gali dan sumur bor yang digunakan oleh penduduk pedesaan di daerah Pangirkiran dan untuk mengetahui karakteristik air sumur dengan menggunakan metode MOORA (Multi-Objective Optimization in the Basis of Ratio Analysis) di daerah desa Pangirkiran.Well water is an artificial spring used by rural residents. Well water has many uses for village communities, for example for cooking, bathing, cleaning/washing clothes, and also for drinking water. Well spring water must also have a health value that must not make the water unfit for drinking. The need for clean water every year will continue to decrease while the need for clean water is decreasing, this is due to the many infrastructure developments that can disrupt the natural potential and the preservation of mineral water. This research data analysis aims to produce recommendations for determining the quality of drinking well water in Pangirkiran Village. The criteria and weights used are C1 = pH of water (15%), C2 = type of water color (25%), C3 = smell of water (30%), C4 = substance contained in water (15%), and C5 = temperature water (15%), of the 25 alternatives used, the results of the research recommendations were obtained with the highest ranking results with optimization results (34.63539523976). This study aims to analyze the quality of dug and drilled wells used by rural residents in the Pangirkiran area and to determine the characteristics of well water using the MOORA (Multi-Objective Optimization in the Basis of Ratio Analysis) method in the Pangirkiran village area.
{"title":"Decision Support System for Determining Potable Well Water Quality in Pangirkiran Village Using the MOORA Method","authors":"S. Samsudin, Jumjumi Abullah, Dedyka Syahputra, Muhammad Hendrik Koto","doi":"10.24114/cess.v8i2.48220","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48220","url":null,"abstract":"Air sumur adalah mata air buatan yang digunakan oleh penduduk pedesaan. Air sumur memiliki banyak manfaat bagi masyarakat desa, misalnya untuk memasak, mandi, membersihkan/mencuci pakaian, dan juga untuk air minum. Mata air sumur juga harus memiliki nilai kesehatan yang tidak boleh membuat air tersebut tidak layak untuk diminum. Kebutuhan air bersih setiap tahunnya akan terus berkurang sementara kebutuhan air bersih semakin berkurang, hal ini disebabkan oleh banyaknya pembangunan infrastruktur yang dapat mengganggu potensi alam dan kelestarian air mineral. Analisis data penelitian ini bertujuan untuk menghasilkan rekomendasi penentuan kualitas air sumur minum di Desa Pangirkiran. Kriteria dan bobot yang digunakan adalah C1 = pH air (15%), C2 = jenis warna air (25%), C3 = bau air (30%), C4 = zat yang terkandung dalam air (15%), dan C5 = suhu air (15%), dari 25 alternatif yang digunakan diperoleh hasil rekomendasi penelitian yaitu dengan hasil rangking tertinggi dengan nilai hasil optimasi (34.63539523976). Penelitian ini bertujuan untuk menganalisis kualitas sumur gali dan sumur bor yang digunakan oleh penduduk pedesaan di daerah Pangirkiran dan untuk mengetahui karakteristik air sumur dengan menggunakan metode MOORA (Multi-Objective Optimization in the Basis of Ratio Analysis) di daerah desa Pangirkiran.Well water is an artificial spring used by rural residents. Well water has many uses for village communities, for example for cooking, bathing, cleaning/washing clothes, and also for drinking water. Well spring water must also have a health value that must not make the water unfit for drinking. The need for clean water every year will continue to decrease while the need for clean water is decreasing, this is due to the many infrastructure developments that can disrupt the natural potential and the preservation of mineral water. This research data analysis aims to produce recommendations for determining the quality of drinking well water in Pangirkiran Village. The criteria and weights used are C1 = pH of water (15%), C2 = type of water color (25%), C3 = smell of water (30%), C4 = substance contained in water (15%), and C5 = temperature water (15%), of the 25 alternatives used, the results of the research recommendations were obtained with the highest ranking results with optimization results (34.63539523976). This study aims to analyze the quality of dug and drilled wells used by rural residents in the Pangirkiran area and to determine the characteristics of well water using the MOORA (Multi-Objective Optimization in the Basis of Ratio Analysis) method in the Pangirkiran village area.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43567682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.24114/cess.v8i2.48026
Said Nanda Saputra, Elin Haerani, J. Jasril, Lola Oktavia, Fadhilah Syafria
Persoalan Kemiskinan pada berbagai daerah Indonesia menjadi fokus perhatian. Program BPNT (Bantuan Pangan Non Tunai) bermaksud memangkas biaya pangan dan membagikan gizi yang sepadan terhadap KPM (Keluarga Penerima Manfaat). Penelitian ini menerapkan algoritma K-Means untuk menganalisis pola karakteristik penerima BPNT di Pekanbaru. Data yang digunakan berasal dari penelitian sebelumnya oleh Firza Syahputra dan dari Dinas Sosial Kota Pekanbaru tahun 2020-2021 dengan 732 data dan 41 parameter. Penerapan K-Means dilakukan melalui Google Colab. Melalui data mining dan metode clustering, ditemukan dua klaster dengan 666 data dalam klaster 1 dan 16 data dalam klaster 2. Evaluasi menggunakan Silhouette Score menunjukkan hasil yang baik, dengan nilai 0.9169796594018274. Penelitian ini berpotensi membantu pemerintah dalam mengambil keputusan yang efektif selama penyebaran bantuan pangan non tunai kepada rakyat yang membutuhkan. Dengan demikian, algoritma K-Means Clustering dapat mengidentifikasi pola karakteristik penerima BPNT dan membedakan kelompok yang layak dan tidak layak menerima bantuan.Poverty issues in various parts of Indonesia are the focus of attention. The NCFA (Non-Cash Food Assistance) program's purpose are to lower food consumption and give Beneficiary Families (BF) a healthy diet. The k-means technique use in this study to assess the distinctive patterns of NCFA grantees in Pekanbaru. The data used comes from previous research by Firza Syahputra and from Social Affairs Office Pekanbaru in 2020-2021 with 732 data and 41 parameters. The application of k-means is done through Google Colab. Through data mining and clustering methods, two clusters were found with 666 data in cluster 1 and 16 data in cluster 2. Evaluation using Silhouette Score showed good results, with a value of 0.9169796594018274. This research has the potential to assist the government in making effective decisions in distributing non-cash food help people in need. For the result, the k-means Clustering technique is able to recognize the traits of NCFA recipients and identify groups that are and are not eligible for aid.
{"title":"Application of K-Means Algorithm on Clustering Recipients of Non-Cash Food Assistance (NCFA)","authors":"Said Nanda Saputra, Elin Haerani, J. Jasril, Lola Oktavia, Fadhilah Syafria","doi":"10.24114/cess.v8i2.48026","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48026","url":null,"abstract":"Persoalan Kemiskinan pada berbagai daerah Indonesia menjadi fokus perhatian. Program BPNT (Bantuan Pangan Non Tunai) bermaksud memangkas biaya pangan dan membagikan gizi yang sepadan terhadap KPM (Keluarga Penerima Manfaat). Penelitian ini menerapkan algoritma K-Means untuk menganalisis pola karakteristik penerima BPNT di Pekanbaru. Data yang digunakan berasal dari penelitian sebelumnya oleh Firza Syahputra dan dari Dinas Sosial Kota Pekanbaru tahun 2020-2021 dengan 732 data dan 41 parameter. Penerapan K-Means dilakukan melalui Google Colab. Melalui data mining dan metode clustering, ditemukan dua klaster dengan 666 data dalam klaster 1 dan 16 data dalam klaster 2. Evaluasi menggunakan Silhouette Score menunjukkan hasil yang baik, dengan nilai 0.9169796594018274. Penelitian ini berpotensi membantu pemerintah dalam mengambil keputusan yang efektif selama penyebaran bantuan pangan non tunai kepada rakyat yang membutuhkan. Dengan demikian, algoritma K-Means Clustering dapat mengidentifikasi pola karakteristik penerima BPNT dan membedakan kelompok yang layak dan tidak layak menerima bantuan.Poverty issues in various parts of Indonesia are the focus of attention. The NCFA (Non-Cash Food Assistance) program's purpose are to lower food consumption and give Beneficiary Families (BF) a healthy diet. The k-means technique use in this study to assess the distinctive patterns of NCFA grantees in Pekanbaru. The data used comes from previous research by Firza Syahputra and from Social Affairs Office Pekanbaru in 2020-2021 with 732 data and 41 parameters. The application of k-means is done through Google Colab. Through data mining and clustering methods, two clusters were found with 666 data in cluster 1 and 16 data in cluster 2. Evaluation using Silhouette Score showed good results, with a value of 0.9169796594018274. This research has the potential to assist the government in making effective decisions in distributing non-cash food help people in need. For the result, the k-means Clustering technique is able to recognize the traits of NCFA recipients and identify groups that are and are not eligible for aid.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45726529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-13DOI: 10.24114/cess.v8i2.48178
Mohamad Ananda Alfariz, Nunik Pratiwi
Cryptocurrency merupakan sebuah merupakan sebuah aset semacam mata uang yang dapat dijadikan alat tukar dalam jual beli dan juga dapat diinvestasikan. Mata uang kripto ini memiliki banyak sekali jenisnya dengan nilai yang berbeda-beda. Beberapa mata uang kripto memiliki harga yang cukup tinggi dan bisa terjadi penurunan maupun kenaikan nilai dengan begitu cepat. Oleh sebab itu mata uang kripto menjadi salah satu aset yang banyak diminati oleh para investor. K-means clustering adalah algoritma yang digunakan untuk mengelompokan data ke dalam cluster berdasarkan kesamaan atributnya. Tujuan penelitian ini adalah untuk menganalisa perkembangan cryptocurrency di Indonesia. Data-data yang didapat dari para investor tersebut akan diolah menggunakan k-means clustering dan dibagi menjadi beberapa cluster yang menunjukan apakah cryptocurrency di indonesia mengalami perkembangan atau sebaliknya. Proses perhitungan jarak terbagi menjadi dua proses yaitu menggunakan proses manual dengan menggunakan excel dan proses menggunakan rapidminner. Untuk mencari jumlah cluster yang tepat untuk clustering digunakan rapidminner sehingga hasilnya pembagian menjadi 3 kelompok adalah yang paling terbaik. Seteah proses perhitungan manual dan menggunakan rapidminner mayoritas investor terdapat pada cluster 2 yang berarti investasi mata uang kripto di indonesia mengalami cukup berkembang.Cryptocurrency is an asset that is a kind of currency that can be used as a medium of exchange in buying and selling and can also be invested. This cryptocurrency has many types with different values. Some cryptocurrencies have quite high prices and can decrease or increase in value very quickly. Therefore, cryptocurrencies are one of the assets that are in great demand by investors. Cryptocurrencies also have a fairly high risk because they have a rapid increase in value, of course the risk is a rapid decline in price.K-means clustering is an algorithm used to group data into clusters based on the similarity of their attributes. The purpose of this research is to analyze the development of cryptocurrencies in Indonesia and investors who invest, especially Indonesian investors. The data obtained from these investors will be processed using k-means clustering and divided into several clusters that show whether cryptocurrency in Indonesia is developing or vice versa. The distance calculation process is divided into two processes, namely using a manual process using excel and using rapid minner. To find the number of clusters that are suitable for clustering, rapidminner is used so that the results of dividing into 3 groups are the best. After the manual calculation process and using rapidminner, the majority of investors are in cluster 2, which means that crypto currency investment in Indonesia has developed quite a bit.
{"title":"Analysis of the Development of Digital Assets (Cryptocurrency) in Indonesia in 2022/2023","authors":"Mohamad Ananda Alfariz, Nunik Pratiwi","doi":"10.24114/cess.v8i2.48178","DOIUrl":"https://doi.org/10.24114/cess.v8i2.48178","url":null,"abstract":"Cryptocurrency merupakan sebuah merupakan sebuah aset semacam mata uang yang dapat dijadikan alat tukar dalam jual beli dan juga dapat diinvestasikan. Mata uang kripto ini memiliki banyak sekali jenisnya dengan nilai yang berbeda-beda. Beberapa mata uang kripto memiliki harga yang cukup tinggi dan bisa terjadi penurunan maupun kenaikan nilai dengan begitu cepat. Oleh sebab itu mata uang kripto menjadi salah satu aset yang banyak diminati oleh para investor. K-means clustering adalah algoritma yang digunakan untuk mengelompokan data ke dalam cluster berdasarkan kesamaan atributnya. Tujuan penelitian ini adalah untuk menganalisa perkembangan cryptocurrency di Indonesia. Data-data yang didapat dari para investor tersebut akan diolah menggunakan k-means clustering dan dibagi menjadi beberapa cluster yang menunjukan apakah cryptocurrency di indonesia mengalami perkembangan atau sebaliknya. Proses perhitungan jarak terbagi menjadi dua proses yaitu menggunakan proses manual dengan menggunakan excel dan proses menggunakan rapidminner. Untuk mencari jumlah cluster yang tepat untuk clustering digunakan rapidminner sehingga hasilnya pembagian menjadi 3 kelompok adalah yang paling terbaik. Seteah proses perhitungan manual dan menggunakan rapidminner mayoritas investor terdapat pada cluster 2 yang berarti investasi mata uang kripto di indonesia mengalami cukup berkembang.Cryptocurrency is an asset that is a kind of currency that can be used as a medium of exchange in buying and selling and can also be invested. This cryptocurrency has many types with different values. Some cryptocurrencies have quite high prices and can decrease or increase in value very quickly. Therefore, cryptocurrencies are one of the assets that are in great demand by investors. Cryptocurrencies also have a fairly high risk because they have a rapid increase in value, of course the risk is a rapid decline in price.K-means clustering is an algorithm used to group data into clusters based on the similarity of their attributes. The purpose of this research is to analyze the development of cryptocurrencies in Indonesia and investors who invest, especially Indonesian investors. The data obtained from these investors will be processed using k-means clustering and divided into several clusters that show whether cryptocurrency in Indonesia is developing or vice versa. The distance calculation process is divided into two processes, namely using a manual process using excel and using rapid minner. To find the number of clusters that are suitable for clustering, rapidminner is used so that the results of dividing into 3 groups are the best. After the manual calculation process and using rapidminner, the majority of investors are in cluster 2, which means that crypto currency investment in Indonesia has developed quite a bit.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46071654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-13DOI: 10.24114/cess.v8i2.43972
Dini M Hutagalung, Christin Panjaitan
Dalam mengambil keputusan melalui sistem sangatlah diperlukan. Karena dengan menggunakan sistem yang benar, maka keputusan dapat diperoleh dengan akurat dalam waktu yang singkat. Sistem Pengambilan Keputusan metode SAW digunakan pada penelitian ini untuk menolong pihak sekolah dalam menentukan keputusan terhadap siswa-siswi yang tepat sebagai anggota pengurus OSIS. Kriteria-kriteria yang ditentukan pada pengambilan keputusan ditentukan berlandaskan kriteria yang cocok dan berhubungan dengan akademik, karakter, serta kedisiplinan siswa-siswi. Adapun kriteria-kriteria yang dipakai adalah : Prestasi Belajar (Akademik), Kedisiplinan (Karakter), Kerjasama (Karakter), Absensi (Komitmen dan Karakter) serta Tanggungjawab (Karakter). Pemberian bobot pada setiap kriteria didasarkan pada urutan daripada kepentingan atau kebutuhan dari yang paling dibutuhkan sampai yang paling butuh. Dari hasil penggunaan Sistem Pengambilan Keputusan SAW, menunjukkan adanya keakuratan dan ketepatan dalam pemilihan pengurus OSIS di sekolah menengah atas. User Interface dan Sistem Database yang dipakai menggunakan MySQL dan PHP. Desain sistem untuk menggambarkan fungsi-fungsi pada sistem tersebut menggunakan UML.It is important to use decision support system applicaiton to help management to improve efficiency in making decision. Decision Support System SAW (Simple Additive Weighting) method is use to help the school to decide which students are appropriate to be the Students Executive Board of Studen Union in secondary school. The SAW method use some criteria based on academic achievement, characters and discipline. The criteria that are used in the system are : Academic Achievement, Disciplince, Teamwork, Attendance, and Responsibility. Each of the criteria is given certain weight based on the most to the least important list criteria. The result of using SAW method shows that the top list of the students are the most appropriate students to be sitting in the Executive Boards of Student Union. UML is used to design the model of the system. The system application GUI are build by using MySQL and PHP
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