Pub Date : 2023-07-06DOI: 10.22441/format.2023.v12.i2.010
Merdin Risalul Abrori, F. Anggraeny, E. Y. Puspaningrum
Implementasi pengenalan gestur tangan telah banyak digunakan pada interaksi manusia dan komputer dekade terakhir ini. Implementasi pengenalan gestur tangan dapat meliputi banyak bidang, mulai dari bidang hiburan hingga bidang kesehatan atau medis. Untuk menghasilkan pengenalan gestur tangan yang baik, tentunya dibutuhkan penggunaan fitur yang tepat. Penelitian ini bertujuan menganalisis fitur dari citra statik gestur tangan agar dapat diimplemetasikan pada perangkat gawai tanpa menggunakan perangkat khusus. Pada penelitian sebelumnya fitur yang digunakan pada pengenalan gestur tangan berupa arah jari, panjang jari, posisi sendi, jarak ujung jari terhadap telapak tangan, sudut antar sendi-sendi jari berdekatan, serta sudut antara telapak tangan, pangkal jari, dan ujung jari. Berdasarkan penelitian terdahulu tersebut, diusulkan metode adalah dengan menggunakan fitur jarak, sudut, dan kuadran. Dataset yang digunakan berupa 528 data citra gestur tangan alfabet SIBI. Pengujian dilakukan dengan perangkat lunak WEKA menggunakan algoritme Naive Bayes, K-Nearest Neighbor(KNN), Neural Network, Support-Vector Machine (SVM), dan C4.5. Algoritme-algoritme tersebut dipilih karena dinilai memiliki karakteristik serta kebutuhan dataset yang berbeda sehingga pengujian fitur yang diusulkan dapat dilakukan secara menyeluruh. Metode K-fold cross validation digunakan pada pengujian untuk mengetahui akurasi terbaik. Hasil yang didapat adalah gabungan dari fitur jarak, sudut, dan kuadran dinilai palin baik diterapkan dengan akurasi tertinggi sebesar 60%.
在过去十年中，手势识别技术已广泛应用于人机交互领域。手势识别的应用涉及许多领域，从娱乐到健康或医疗领域。要实现良好的手势识别，当然需要使用正确的特征。本研究旨在分析手势静态图像的特征，以便无需使用特殊设备即可在移动设备上实现手势识别。在以往的研究中，用于手势识别的特征包括手指方向、手指长度、关节位置、指尖到手掌的距离、相邻手指关节之间的角度，以及手掌、手指根部和指尖之间的角度。在前人研究的基础上，我们提出了使用距离、角度和象限特征的方法。使用的数据集是 528 个 SIBI 字母手势图像数据。使用 WEKA 软件的 Naive Bayes、K-Nearest Neighbor (KNN)、神经网络、支持向量机 (SVM) 和 C4.5 算法进行测试。之所以选择这些算法，是因为它们具有不同的特点和数据集要求，因此可以对提出的特征进行全面测试。测试中使用了 K 折交叉验证法来确定最佳准确率。结果表明，距离、角度和象限特征的组合被认为是最佳应用，准确率最高，达到 60%。
{"title":"Analisis Fitur Pada Citra Gestur Tangan Sistem Isyarat Bahasa Indonesia","authors":"Merdin Risalul Abrori, F. Anggraeny, E. Y. Puspaningrum","doi":"10.22441/format.2023.v12.i2.010","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.010","url":null,"abstract":"Implementasi pengenalan gestur tangan telah banyak digunakan pada interaksi manusia dan komputer dekade terakhir ini. Implementasi pengenalan gestur tangan dapat meliputi banyak bidang, mulai dari bidang hiburan hingga bidang kesehatan atau medis. Untuk menghasilkan pengenalan gestur tangan yang baik, tentunya dibutuhkan penggunaan fitur yang tepat. Penelitian ini bertujuan menganalisis fitur dari citra statik gestur tangan agar dapat diimplemetasikan pada perangkat gawai tanpa menggunakan perangkat khusus. Pada penelitian sebelumnya fitur yang digunakan pada pengenalan gestur tangan berupa arah jari, panjang jari, posisi sendi, jarak ujung jari terhadap telapak tangan, sudut antar sendi-sendi jari berdekatan, serta sudut antara telapak tangan, pangkal jari, dan ujung jari. Berdasarkan penelitian terdahulu tersebut, diusulkan metode adalah dengan menggunakan fitur jarak, sudut, dan kuadran. Dataset yang digunakan berupa 528 data citra gestur tangan alfabet SIBI. Pengujian dilakukan dengan perangkat lunak WEKA menggunakan algoritme Naive Bayes, K-Nearest Neighbor(KNN), Neural Network, Support-Vector Machine (SVM), dan C4.5. Algoritme-algoritme tersebut dipilih karena dinilai memiliki karakteristik serta kebutuhan dataset yang berbeda sehingga pengujian fitur yang diusulkan dapat dilakukan secara menyeluruh. Metode K-fold cross validation digunakan pada pengujian untuk mengetahui akurasi terbaik. Hasil yang didapat adalah gabungan dari fitur jarak, sudut, dan kuadran dinilai palin baik diterapkan dengan akurasi tertinggi sebesar 60%.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"2013 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362323","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}
Abstrak – Plagiarisme merupakan perilaku pencurian ide atau gagasan orang lain tanpa menyebutkan sumber aslinya. Kasus plagiarisme semakin lama semakin banyak nampaknya sudah membudaya dalam kehidupan masyarakat khususnya dibidang karya tulis ilmiah dalam dunia akademisi. Ketersediaan jurnal online yang memberikan kenyamanan kepada para pembacanya menjadi manfaat utamanya, akan tetapi potensi plagiarisme dan perilaku terkait plagiarisme adalah kelemahan utamanya. Metode Cosine Similarity merupakan salah satu metode yang dapat digunakan untuk mendeteksi plagiarisme pada teks. Metode ini didasarkan pada perhitungan sudut antara dua buah objek yang dinyatakan dalam dua buah vektor. Obyek yang digunakan dalam penelitian ini adalah abstrak jurnal online. Total sebanyak 100 data jurnal online yang digunakan untuk penelitian ini yang diperoleh dari situs-situs penerbit jurnal ilmiah. Tahapan yang dilakukan sebelum perhitungan Cosine Similarity adalah pre-processing dengan tujuan untuk menghilangkan inkonsistensi pada data. Berdasarkan hasil penelitian bahwa metode cosine similarity dapat mendeteksi plagiarisme pada dokumen jurnal dengan menghitung persentase kemiripan antara dokumen repositori dengan dokumen uji.
{"title":"Penerapan Metode Cosine Similarity Dalam Mendeteksi Plagiarisme Pada Jurnal","authors":"Sarima Lumbansiantar, Saruni Dwiasnati, Nenden Siti Fatonah","doi":"10.22441/format.2023.v12.i2.007","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.007","url":null,"abstract":"Abstrak – Plagiarisme merupakan perilaku pencurian ide atau gagasan orang lain tanpa menyebutkan sumber aslinya. Kasus plagiarisme semakin lama semakin banyak nampaknya sudah membudaya dalam kehidupan masyarakat khususnya dibidang karya tulis ilmiah dalam dunia akademisi. Ketersediaan jurnal online yang memberikan kenyamanan kepada para pembacanya menjadi manfaat utamanya, akan tetapi potensi plagiarisme dan perilaku terkait plagiarisme adalah kelemahan utamanya. Metode Cosine Similarity merupakan salah satu metode yang dapat digunakan untuk mendeteksi plagiarisme pada teks. Metode ini didasarkan pada perhitungan sudut antara dua buah objek yang dinyatakan dalam dua buah vektor. Obyek yang digunakan dalam penelitian ini adalah abstrak jurnal online. Total sebanyak 100 data jurnal online yang digunakan untuk penelitian ini yang diperoleh dari situs-situs penerbit jurnal ilmiah. Tahapan yang dilakukan sebelum perhitungan Cosine Similarity adalah pre-processing dengan tujuan untuk menghilangkan inkonsistensi pada data. Berdasarkan hasil penelitian bahwa metode cosine similarity dapat mendeteksi plagiarisme pada dokumen jurnal dengan menghitung persentase kemiripan antara dokumen repositori dengan dokumen uji.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362512","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 : 2023-07-05DOI: 10.22441/format.2023.v12.i2.003
Dwityo Fauzan Nugroho, Wawan Gunawan
Globalization makes all developments so fast, one of the factors that makes developments develop rapidly is technology. Technology was created to facilitate the work of everyone who needs it, one of them in large and small businesses. In the case of Ono Celluler Stores where they carry out several business activities using manual methods, these activities include recording sales, stock management, and employee management. Some of the activities currently implemented by Ono Celluler make doing business too long and ineffective. Apart from several problems that occur, Ono Celluler has a weakness in the introduction of Ono Celluler itself. This will affect what Ono Celluler is. The purpose of this research is to make an application that is able to solve problems that occur in Ono Celluler, this application will have a searching algorithm to make it easier for application users to find what products are available on Ono Celluler and features to help users. The Ono Celluler application will also have an information system to manage and monitor the products available at the Ono Celluler Store, besides that there will be a send mail feature to send formal emails from Ono Celluler. Research conducted using the waterfall method concluded that Ono Cellular's business processes can be carried out efficiently, difficulties in finding products are resolved properly using the searching algorithm. And employees can carry out business processes that are more organized and more formal using SMTP.
全球化使所有发展都变得如此迅速，而使发展迅速的因素之一就是技术。技术的诞生是为了方便每个需要它的人的工作，大型和小型企业就是其中之一。Ono Celluler 商店使用人工方法开展多项业务活动，这些活动包括销售记录、库存管理和员工管理。Ono Celluler 目前实施的一些活动使得业务时间过长，效率低下。除了出现的几个问题外，Ono Celluler 在引入 Ono Celluler 本身方面也存在弱点。这将影响 Ono Celluler 的定位。本研究的目的是开发一款能够解决 Ono Celluler 中出现的问题的应用程序，该应用程序将采用搜索算法，使应用程序用户更容易找到 Ono Celluler 上的产品和功能，以帮助用户。Ono Celluler 应用程序还将有一个信息系统，用于管理和监控 Ono Celluler 商店中的产品，此外还将有一个发送邮件功能，用于从 Ono Celluler 发送正式邮件。使用瀑布法进行的研究得出结论，Ono Cellular 的业务流程可以高效执行，使用搜索算法可以妥善解决查找产品的困难。员工可以使用 SMTP 更有组织、更正式地执行业务流程。
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Pub Date : 2023-07-05DOI: 10.22441/format.2023.v12.i2.004
Sukarno Bahat Nauli, B. Sitorus, Agung Priambodo, Riama Sibarani, Ipan Amanda
ABSTRAKSistem Electronic Fuel Injection (EFI) adalah suatu sistem pembagian bahan bakar pada kendaraan khususnya roda empat atau mobil dengan menggunakan sistem elektronik sehingga konsumsi bahan bakar lebih optimal dan dapat mengefisienkan emisi gas buang. tujuan penelitian ini merancang sistem pakar diagnosa kerusakan Electronic Fuel Injection (EFI) jenis mobil Innova dengan metode Forward Chaining. Sistem pakar ini menggunakan metode Forward Chaining untuk pelacakan data dimana pada metode ini akan menampilkan terlebih dahulu fakta-fakta gejala yang kemungkinan dialami user kemudian dicocokan dengan kerusakan yang memiliki gejala-gejala sesuai yang dialami oleh user, algoritma pencarian data menggunakan Best First Search dan untuk mengukur tingkat kepastian hasil pencarian data menggunakan metode Certainty Factor (CF) dengan menerapkan rumus CFtunggal dan CFkombinasi untuk mendapatkan hasil yang sesuai harapan. Setelah melakukan pengujian aplikasi dapat befungsi sesuai harapan, aplikasi sudah dapat digunakan untuk mendiagnosa kerusakan mobil Innova khususnya pada EFI, tingkat kemungkinan kepastian terjadinya kerusakan pada sistem EFI mobil Innova dapat diprediksi dan rancangan sistem ini bagi orang awam sudah dapat digunakan untuk mendeteksi kerusakan pada sistem EFI mobil Innova.
ABSTRACTThe Electronic Fuel Injection (EFI) system is a fuel distribution system in vehicles, especially four-wheeled or cars using an electronic system so that fuel consumption is more optimal and can streamline exhaust emissions.该专家系统使用前向连锁法进行数据跟踪，该方法将首先显示用户可能经历的症状事实，然后根据用户经历的症状与具有症状的损坏相匹配，数据搜索算法使用最佳优先搜索，并使用确定性系数（CF）方法来衡量数据搜索结果的确定性水平，通过应用 CF 单一公式和 CF 组合公式来获得预期结果。经过测试，该应用程序可以发挥预期功能，可用于诊断 Innova 汽车的损坏情况，特别是在 EFI 方面，可以预测 Innova 汽车 EFI 系统损坏可能性的确定性水平，并可利用这一面向非专业人员的系统设计来检测 Innova 汽车 EFI 系统的损坏情况。
{"title":"Sistem Pakar Diagnosa Kerusakan Electronic Fuel Injection Mobil Innova dengan Metode Forward Chaining","authors":"Sukarno Bahat Nauli, B. Sitorus, Agung Priambodo, Riama Sibarani, Ipan Amanda","doi":"10.22441/format.2023.v12.i2.004","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.004","url":null,"abstract":"ABSTRAKSistem Electronic Fuel Injection (EFI) adalah suatu sistem pembagian bahan bakar pada kendaraan khususnya roda empat atau mobil dengan menggunakan sistem elektronik sehingga konsumsi bahan bakar lebih optimal dan dapat mengefisienkan emisi gas buang. tujuan penelitian ini merancang sistem pakar diagnosa kerusakan Electronic Fuel Injection (EFI) jenis mobil Innova dengan metode Forward Chaining. Sistem pakar ini menggunakan metode Forward Chaining untuk pelacakan data dimana pada metode ini akan menampilkan terlebih dahulu fakta-fakta gejala yang kemungkinan dialami user kemudian dicocokan dengan kerusakan yang memiliki gejala-gejala sesuai yang dialami oleh user, algoritma pencarian data menggunakan Best First Search dan untuk mengukur tingkat kepastian hasil pencarian data menggunakan metode Certainty Factor (CF) dengan menerapkan rumus CFtunggal dan CFkombinasi untuk mendapatkan hasil yang sesuai harapan. Setelah melakukan pengujian aplikasi dapat befungsi sesuai harapan, aplikasi sudah dapat digunakan untuk mendiagnosa kerusakan mobil Innova khususnya pada EFI, tingkat kemungkinan kepastian terjadinya kerusakan pada sistem EFI mobil Innova dapat diprediksi dan rancangan sistem ini bagi orang awam sudah dapat digunakan untuk mendeteksi kerusakan pada sistem EFI mobil Innova.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362695","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 : 2023-07-05DOI: 10.22441/format.2023.v12.i2.006
Warjiyono Warjiyono, A. Rais
Setiap tahun Universitas Bina Sarana Informatika Tegal secara bertahap menerima siswa-siswi SMK untuk PKL Permasalahan yang terjadi penilaian masih dipengaruhi subjektifitas serta belum proporsional dalam penilaian dan perangkingan siswa-siswi PKL. Tujuan dari penelitian ini adalah akan membangun sebuah sistem berupa sistem informasi penilaian PKL berbasis website menggunakan metode moora. Penelitian ini termasuk jenis penelitian terapan, yaitu jenis penelitian yang digunakan untuk mendapatkan solusi dari permsalahan yang terjadi khususnya penilaian PKL. Sistem informasi penilaian PKL berbasis website ini akan digunakan dosen pembimbing PKL untuk memberikan penilaian, dan mendapatkan hasilnya dengan cepat serta untuk mendukung pembuatan sertifikat/Surat Keterangan telah PKL secara cepat.
{"title":"Sistem Pendukung Keputusan Penilaian PKL Siswa SMK Menggunakan Metode Moora","authors":"Warjiyono Warjiyono, A. Rais","doi":"10.22441/format.2023.v12.i2.006","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.006","url":null,"abstract":"Setiap tahun Universitas Bina Sarana Informatika Tegal secara bertahap menerima siswa-siswi SMK untuk PKL Permasalahan yang terjadi penilaian masih dipengaruhi subjektifitas serta belum proporsional dalam penilaian dan perangkingan siswa-siswi PKL. Tujuan dari penelitian ini adalah akan membangun sebuah sistem berupa sistem informasi penilaian PKL berbasis website menggunakan metode moora. Penelitian ini termasuk jenis penelitian terapan, yaitu jenis penelitian yang digunakan untuk mendapatkan solusi dari permsalahan yang terjadi khususnya penilaian PKL. Sistem informasi penilaian PKL berbasis website ini akan digunakan dosen pembimbing PKL untuk memberikan penilaian, dan mendapatkan hasilnya dengan cepat serta untuk mendukung pembuatan sertifikat/Surat Keterangan telah PKL secara cepat.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362707","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 : 2023-07-05DOI: 10.22441/format.2023.v12.i2.001
M. Rossi, Tisna Hidayat, Elinda Elinda, Ainunna'imah Ainunna'imah, T. Setiadi
Abstract - Vocational High School or SMK is a secondary level of education taken after completing from junior high school/equivalent. SMK plays a significant part in the preparation of human resources. The final grades of the students are difficult for teachers to predict. This estimated final grade is necessary for the teacher to evaluate the quality of the instruction given. In order to ascertain the association between the variable daily average values and competency scores on the final grades in Computer and Basic Networks subjects, a data mining strategy was utilized in conjunction with the estimate method utilizing the multiple linear regression algorithm. The data used is value data for one semester with a total of 134. In order to increase the quality of learning in the event that the grade does not satisfy the completeness requirements, it is anticipated that the Multiple Linear Regression algorithm will be able to estimate the final grades that are likely to be achieved. To determine the scope of the fault discovered, the RMSE (Root Mean Squared Error) is utilized.Abstrak – Sekolah Menengah Kejuruan atau SMK merupakan tingkatan pendidikan menengah yang ditempuh setelah lulus dari SMP atau Sekolah Menengah Pertama/sederajat. SMK memiliki peranan penting untuk mempersiapkan Sumber Daya Manusia. Guru memiliki permasalahan dalam mengestimasi nilai akhir siswa. Estimasi nilai akhir ini diperlukan oleh guru dalam mengevaluasi terkait kualitas pembelajaran yang diberikan. Pada penelitian ini, digunakan pendekatan data mining dengan metode estimasi menggunakan algoritma Regresi Linear Berganda guna mengetahui hubungan antara variabel nilai rata-rata harian dan nilai kompetensi terhadap nilai akhir mata pelajaran Komputer dan Jaringan Dasar. Data yang digunakan adalah data nilai selama satu semester dengan jumlah sebanyak 134. Dengan menggunakan algoritma Regresi Linear Berganda diharapkan mampu memperkirakan hasil nilai akhir yang kemungkinan diperoleh sehingga dapat meningkatkan kualitas belajar jika nilai tidak memenuhi syarat ketuntasan. RMSE (Root Mean Squared Error) digunakan untuk melakukan pengecekan terhadap besarnya error yang didapat.
{"title":"Estimasi Nilai Akhir Mata Pelajaran Komputer dan Jaringan Dasar Menggunakan Algoritma Linear Regression Berganda","authors":"M. Rossi, Tisna Hidayat, Elinda Elinda, Ainunna'imah Ainunna'imah, T. Setiadi","doi":"10.22441/format.2023.v12.i2.001","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.001","url":null,"abstract":"Abstract - Vocational High School or SMK is a secondary level of education taken after completing from junior high school/equivalent. SMK plays a significant part in the preparation of human resources. The final grades of the students are difficult for teachers to predict. This estimated final grade is necessary for the teacher to evaluate the quality of the instruction given. In order to ascertain the association between the variable daily average values and competency scores on the final grades in Computer and Basic Networks subjects, a data mining strategy was utilized in conjunction with the estimate method utilizing the multiple linear regression algorithm. The data used is value data for one semester with a total of 134. In order to increase the quality of learning in the event that the grade does not satisfy the completeness requirements, it is anticipated that the Multiple Linear Regression algorithm will be able to estimate the final grades that are likely to be achieved. To determine the scope of the fault discovered, the RMSE (Root Mean Squared Error) is utilized.Abstrak – Sekolah Menengah Kejuruan atau SMK merupakan tingkatan pendidikan menengah yang ditempuh setelah lulus dari SMP atau Sekolah Menengah Pertama/sederajat. SMK memiliki peranan penting untuk mempersiapkan Sumber Daya Manusia. Guru memiliki permasalahan dalam mengestimasi nilai akhir siswa. Estimasi nilai akhir ini diperlukan oleh guru dalam mengevaluasi terkait kualitas pembelajaran yang diberikan. Pada penelitian ini, digunakan pendekatan data mining dengan metode estimasi menggunakan algoritma Regresi Linear Berganda guna mengetahui hubungan antara variabel nilai rata-rata harian dan nilai kompetensi terhadap nilai akhir mata pelajaran Komputer dan Jaringan Dasar. Data yang digunakan adalah data nilai selama satu semester dengan jumlah sebanyak 134. Dengan menggunakan algoritma Regresi Linear Berganda diharapkan mampu memperkirakan hasil nilai akhir yang kemungkinan diperoleh sehingga dapat meningkatkan kualitas belajar jika nilai tidak memenuhi syarat ketuntasan. RMSE (Root Mean Squared Error) digunakan untuk melakukan pengecekan terhadap besarnya error yang didapat.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"148 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362716","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 : 2023-07-05DOI: 10.22441/format.2023.v12.i2.005
Selvana Arma Putra, Diah Aryani, N. Noviandi, Hani Dewi Ariessanti
The use of technology and reliance on the internet has altered students' learning practices, especially how they approach mathematics. As a result, a novel method of teaching mathematics is required, particularly for geometric concepts that are challenging for children to grasp. For students to better comprehend geometric forms and volume formulas, this study intends to develop spatial learning applications incorporating augmented reality (AR). The method employed in this study is called the Multimedia Development Live Cycle (MDLC), and it includes the steps of ideation, design, material collecting, assembly, testing, and distribution. The results showed that this application succeeded in increasing students' understanding in the form of geometric shapes through the use of spatial learning applications with augmented reality. This was effective in increasing students' understanding of using 3D objects and interactions through applications made students more interested and motivated to learn mathematics.
{"title":"Aplikasi Pembelajaran Bangun Ruang dengan Augmented Reality (Studi Kasus : Sdn Rorotan 07 Jakarta)","authors":"Selvana Arma Putra, Diah Aryani, N. Noviandi, Hani Dewi Ariessanti","doi":"10.22441/format.2023.v12.i2.005","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.005","url":null,"abstract":"The use of technology and reliance on the internet has altered students' learning practices, especially how they approach mathematics. As a result, a novel method of teaching mathematics is required, particularly for geometric concepts that are challenging for children to grasp. For students to better comprehend geometric forms and volume formulas, this study intends to develop spatial learning applications incorporating augmented reality (AR). The method employed in this study is called the Multimedia Development Live Cycle (MDLC), and it includes the steps of ideation, design, material collecting, assembly, testing, and distribution. The results showed that this application succeeded in increasing students' understanding in the form of geometric shapes through the use of spatial learning applications with augmented reality. This was effective in increasing students' understanding of using 3D objects and interactions through applications made students more interested and motivated to learn mathematics.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362748","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 : 2023-07-05DOI: 10.22441/format.2023.v12.i2.002
Satria Yana Putra, Irwan Agus Sobari
Since 2019 Indonesia has had rapid development, especially in the digital industry, recorded at the 2020 World Economic Forum. Indonesia has 2,193 startup companies engaged in the digital field. It can also affect the ability of these companies to address existing or future digital problems. As is known, down or system failure in a server can cause losses in the company's economy. For a company the size of Facebook alone, it could suffer a loss of 99.75 million US Dollars. One of the causes of server failure is Overload Traffic and Request Cloud Environment caused by the large number of requests submitted to the server. Requests submitted to the server are recorded into 2 data, namely, CCU (Count Current User) and Traffic. In this study, the author uses the CDN and Private zone methods on Alibaba Cloud to share the server load so that there is no downtime or server failure caused by Overload Traffic and Request Cloud. It is hoped that this research can be helpful to networking engineers in overcoming Traffic Overload and Request Cloud, especially on Alibaba Cloud.
{"title":"Optimalisasi Overload Traffic Dan Request Cloud Environment Menggunakan Metode Content Delivery Network Dan Private Zone Di RCTI+","authors":"Satria Yana Putra, Irwan Agus Sobari","doi":"10.22441/format.2023.v12.i2.002","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.002","url":null,"abstract":"Since 2019 Indonesia has had rapid development, especially in the digital industry, recorded at the 2020 World Economic Forum. Indonesia has 2,193 startup companies engaged in the digital field. It can also affect the ability of these companies to address existing or future digital problems. As is known, down or system failure in a server can cause losses in the company's economy. For a company the size of Facebook alone, it could suffer a loss of 99.75 million US Dollars. One of the causes of server failure is Overload Traffic and Request Cloud Environment caused by the large number of requests submitted to the server. Requests submitted to the server are recorded into 2 data, namely, CCU (Count Current User) and Traffic. In this study, the author uses the CDN and Private zone methods on Alibaba Cloud to share the server load so that there is no downtime or server failure caused by Overload Traffic and Request Cloud. It is hoped that this research can be helpful to networking engineers in overcoming Traffic Overload and Request Cloud, especially on Alibaba Cloud.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362637","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 : 2023-07-05DOI: 10.22441/format.2023.v12.i2.008
A. Wicaksono, T. Setiadi
Pernyataan dari sekolah yang menunjukkan bahwa seorang siswa telah berhasil menyelesaikan program pendidikan dikenal sebagai kelulusan. Menggunakan algoritma pohon keputusan C4.5, sebuah model dikembangkan untuk penelitian ini untuk memprediksi status kelulusan siswa Kecamatan Juai. Rata-rata digunakan untuk membangun model prediksi dengan menggunakan nilai dari semester 7 sampai semester 12, atau nilai kelas 4 sampai kelas 6. Atribut yang digunakan untuk memprediksi kelulusan adalah nilai rata-rata Pendidikan Agama, Pendidikan Kewarganegaraan, Matematika, IPA, dan IPS, Seni Budaya dan Keterampilan serta Bahasa dan Sastra Banjar. Model prediksi yang diperoleh berupa pohon keputusan dengan tiga daun keputusan. Model prediksi ini memiliki akurasi yang sangat baik sebesar 96,67%.
{"title":"Penerapan Klasifikasi Decision Tree (C4.5) untuk Memprediksi Kelulusan Siswa Sekolah Dasar di Kecamatan Juai","authors":"A. Wicaksono, T. Setiadi","doi":"10.22441/format.2023.v12.i2.008","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.008","url":null,"abstract":"Pernyataan dari sekolah yang menunjukkan bahwa seorang siswa telah berhasil menyelesaikan program pendidikan dikenal sebagai kelulusan. Menggunakan algoritma pohon keputusan C4.5, sebuah model dikembangkan untuk penelitian ini untuk memprediksi status kelulusan siswa Kecamatan Juai. Rata-rata digunakan untuk membangun model prediksi dengan menggunakan nilai dari semester 7 sampai semester 12, atau nilai kelas 4 sampai kelas 6. Atribut yang digunakan untuk memprediksi kelulusan adalah nilai rata-rata Pendidikan Agama, Pendidikan Kewarganegaraan, Matematika, IPA, dan IPS, Seni Budaya dan Keterampilan serta Bahasa dan Sastra Banjar. Model prediksi yang diperoleh berupa pohon keputusan dengan tiga daun keputusan. Model prediksi ini memiliki akurasi yang sangat baik sebesar 96,67%.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362743","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}
Emotional Text Detection is a technique in natural language processing that aims to identify the emotions contained in conversations or text messages. The LSTM (Long Short-Term Memory) method is one of the techniques used in natural language processing to model and predict sequential data. In this study, we propose the use of the LSTM method for emotion detection in conversation. The dataset used is a conversational dataset that contains positive, negative, and neutral emotions. We process datasets using data pre-processing techniques such as tokenization, data cleansing and one-hot encoding. Then, we train the LSTM model on the processed dataset and obtain evaluation results using accuracy metrics. The experimental results show that the LSTM model can be used to detect emotions in conversation with a good degree of accuracy. In addition, we also conducted an analysis on the prediction results of the model and showed that the LSTM model can correctly identify emotions. In conclusion, the LSTM method can be used to detect emotions in conversation with a good degree of accuracy. This method can be used to improve user experience in chat applications and increase the effectiveness of human and machine interactions.
{"title":"Emotional Text Detection dengan Long Short Term Memory (LSTM)","authors":"Muhamad Dwirizqy Wimbassa, Taswiyah Marsyah Noor, Salma Yasara, Vannesha Vannesha, Tubagus Muhammad Arsyah, Abdiansah Abdiansah","doi":"10.22441/format.2023.v12.i2.009","DOIUrl":"https://doi.org/10.22441/format.2023.v12.i2.009","url":null,"abstract":"Emotional Text Detection is a technique in natural language processing that aims to identify the emotions contained in conversations or text messages. The LSTM (Long Short-Term Memory) method is one of the techniques used in natural language processing to model and predict sequential data. In this study, we propose the use of the LSTM method for emotion detection in conversation. The dataset used is a conversational dataset that contains positive, negative, and neutral emotions. We process datasets using data pre-processing techniques such as tokenization, data cleansing and one-hot encoding. Then, we train the LSTM model on the processed dataset and obtain evaluation results using accuracy metrics. The experimental results show that the LSTM model can be used to detect emotions in conversation with a good degree of accuracy. In addition, we also conducted an analysis on the prediction results of the model and showed that the LSTM model can correctly identify emotions. In conclusion, the LSTM method can be used to detect emotions in conversation with a good degree of accuracy. This method can be used to improve user experience in chat applications and increase the effectiveness of human and machine interactions.","PeriodicalId":381291,"journal":{"name":"Format : Jurnal Ilmiah Teknik Informatika","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362465","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}
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