How to create convenience for fish farmers, buyers, and fisheries agencies in marketing catfish in Probolinggo Regency by developing a fish marketplace application in Probolinggo Regency based on the frontend backend using React JS. So the purpose of this research is to create a website-based fish marketplace application to facilitate harvest information to buyers and monitoring by the Probolinggo Regency fisheries office. Application development using the agile method, involving a team in making a website-based system with React.js technology as frontend and backend. The development of a web-based system for fish marketplace applications involves the application of agile methodology, which allows active team involvement in all stages of creation. React.js technology was used as a framework to build both the front end and back end of this application, ensuring consistency and efficiency in system development. With the agile approach, collaboration between teams allowed for quick adjustments to changing needs and ensured the app was created responsively and adaptively. The website trial was successful with a 94% success rate, ensuring convenience for farmers, buyers, and the fisheries agency in Probolinggo District. The results are in line with the expected need to improve efficiency in the fish marketing chain. The development of a website-based fish marketplace application has provided an effective solution for catfish marketing in Probolinggo Regency. The realization of the fish marketplace application can increase efficiency in catfish marketing, facilitate access to information for farmers and buyers, and facilitate monitoring by the fisheries service, potentially increasing the productivity of the fisheries sector in the region..
{"title":"PENGEMBANGAN APLIKASI MARKETPLACE IKAN DI KABUPATEN PROBOLINGGO BERBASIS FRONTEND BACKEND MENGGUNAKAN REACT JS","authors":"Moh. Ainol Yaqin","doi":"10.36564/njca.v8i2.342","DOIUrl":"https://doi.org/10.36564/njca.v8i2.342","url":null,"abstract":"How to create convenience for fish farmers, buyers, and fisheries agencies in marketing catfish in Probolinggo Regency by developing a fish marketplace application in Probolinggo Regency based on the frontend backend using React JS. So the purpose of this research is to create a website-based fish marketplace application to facilitate harvest information to buyers and monitoring by the Probolinggo Regency fisheries office. Application development using the agile method, involving a team in making a website-based system with React.js technology as frontend and backend. The development of a web-based system for fish marketplace applications involves the application of agile methodology, which allows active team involvement in all stages of creation. React.js technology was used as a framework to build both the front end and back end of this application, ensuring consistency and efficiency in system development. With the agile approach, collaboration between teams allowed for quick adjustments to changing needs and ensured the app was created responsively and adaptively. The website trial was successful with a 94% success rate, ensuring convenience for farmers, buyers, and the fisheries agency in Probolinggo District. The results are in line with the expected need to improve efficiency in the fish marketing chain. The development of a website-based fish marketplace application has provided an effective solution for catfish marketing in Probolinggo Regency. The realization of the fish marketplace application can increase efficiency in catfish marketing, facilitate access to information for farmers and buyers, and facilitate monitoring by the fisheries service, potentially increasing the productivity of the fisheries sector in the region..","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139157705","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}
The level of student attendance in lectures is an important factor that can influence academic achievement and learning achievement. This research aims to predict the level of student attendance at lectures. The Monte Carlo simulation method is used in this research because it can produce many random samples that can represent various student attendance scenarios, this research can provide more accurate estimates of attendance levels. The use of repeated samples will also affect the results of the predictions made. Data on student attendance in modeling and simulation courses. Next, this data is used to build a Monte Carlo simulation model that suits the situation of student attendance. The results of the Monte Carlo simulation show the probability distribution of student attendance levels in various scenarios. With this information, universities can take appropriate action to increase student attendance levels.
{"title":"PEMODELAN MONTE CARLO DALAM MERAMALKAN PARTISIPASI MAHASISWA DALAM PERKULIAHAN","authors":"Wanda Ilham, W. Army, Ilwan Syafrinal","doi":"10.36564/njca.v8i2.322","DOIUrl":"https://doi.org/10.36564/njca.v8i2.322","url":null,"abstract":"The level of student attendance in lectures is an important factor that can influence academic achievement and learning achievement. This research aims to predict the level of student attendance at lectures. The Monte Carlo simulation method is used in this research because it can produce many random samples that can represent various student attendance scenarios, this research can provide more accurate estimates of attendance levels. The use of repeated samples will also affect the results of the predictions made. Data on student attendance in modeling and simulation courses. Next, this data is used to build a Monte Carlo simulation model that suits the situation of student attendance. The results of the Monte Carlo simulation show the probability distribution of student attendance levels in various scenarios. With this information, universities can take appropriate action to increase student attendance levels.","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167320","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}
Vanny Nastiti, Nurahmad Hadi Cahyadi, Marsha Anindya Jasmine, Indri Santiasih
{"title":"RANCANG BANGUN SISTEM MONITORING KESEHATAN DAN TRACKING PEKERJA KONTRUKSI MELALUI SAFETY VEST BERBASIS IOT","authors":"Vanny Nastiti, Nurahmad Hadi Cahyadi, Marsha Anindya Jasmine, Indri Santiasih","doi":"10.36564/njca.v8i2.321","DOIUrl":"https://doi.org/10.36564/njca.v8i2.321","url":null,"abstract":"","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"7 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168177","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}
M. Najib, Wafirur Rizqi, Badrus Zaman, Rimuljo Hendradi
The rapid development of information technology means that more and more websites or blog provider platforms are being found, especially the rumahginjal.id website. The Rumah Kidney website provides information in the form of books, scientific articles, short writings about the kidneys, which can be accessed online via the rumahginjal.id blog website. Website optimization strategies are currently being intensively carried out by website managers to obtain the highest ranking in search engines, one of which is Search Engine Optimization (SEO). The rumahginjal.id website was chosen as a research case study because the level of website traffic is experiencing a decline in 2020-2021, so it is necessary to use a website optimization method, namely SEO. On Page SEO is able to optimize website content well by using SEO Friendly Content theory. In optimizing content, Google Trends and Google Keyword Planner tools are used for keyword research, then in measuring traffic using Google Analytics and Google Search Console tools. The results of implementing On Page SEO on the rumahginjal.id blog website are considered capable of increasing site traffic organically in 4 months. Measurement results before optimization in August-September 2022
信息技术的飞速发展意味着越来越多的网站或博客提供平台被发现，尤其是rumahginjal.id网站。Rumah Kidney 网站以书籍、科学文章、短文等形式提供有关肾脏的信息，这些信息可通过 rumahginjal.id 博客网站在线访问。为了在搜索引擎中获得最高排名，网站管理者目前正在大力实施网站优化策略，其中之一就是搜索引擎优化（SEO）。之所以选择rumahginjal.id网站作为研究案例，是因为网站流量在2020-2021年将出现下降，因此有必要使用一种网站优化方法，即搜索引擎优化。页面搜索引擎优化（On Page SEO）通过使用搜索引擎优化友好内容理论，能够很好地优化网站内容。在优化内容时，先使用 Google Trends 和 Google Keyword Planner 工具进行关键词研究，然后使用 Google Analytics 和 Google Search Console 工具测量流量。对 rumahginjal.id 博客网站实施网页搜索引擎优化的结果被认为能够在 4 个月内有机地增加网站流量。2022 年 8 月至 9 月优化前的测量结果
{"title":"ANALISIS PENERAPAN METODE SEARCH ENGINE OPTIMIZATION (SEO) ON PAGE DALAM OPTIMALISASI KONTEN WEBSITE BLOG (STUDI KASUS: RUMAHGINJAL.ID)","authors":"M. Najib, Wafirur Rizqi, Badrus Zaman, Rimuljo Hendradi","doi":"10.36564/njca.v8i2.319","DOIUrl":"https://doi.org/10.36564/njca.v8i2.319","url":null,"abstract":"The rapid development of information technology means that more and more websites or blog provider platforms are being found, especially the rumahginjal.id website. The Rumah Kidney website provides information in the form of books, scientific articles, short writings about the kidneys, which can be accessed online via the rumahginjal.id blog website. Website optimization strategies are currently being intensively carried out by website managers to obtain the highest ranking in search engines, one of which is Search Engine Optimization (SEO). The rumahginjal.id website was chosen as a research case study because the level of website traffic is experiencing a decline in 2020-2021, so it is necessary to use a website optimization method, namely SEO. On Page SEO is able to optimize website content well by using SEO Friendly Content theory. In optimizing content, Google Trends and Google Keyword Planner tools are used for keyword research, then in measuring traffic using Google Analytics and Google Search Console tools. The results of implementing On Page SEO on the rumahginjal.id blog website are considered capable of increasing site traffic organically in 4 months. Measurement results before optimization in August-September 2022","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"102 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169210","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}
Miftahul Walid, Dini Fajariyah, Hozairi Hozairi, Budi Satria
Sumenep is one of the salt-producing regencies in Madura with 27 sub-districts where 11 sub-districts are salt producers which have a total area of 2,077.12 ha of ponds. Generally, people only cultivate salt in certain months because this salt production can only be done and depends on several factors, such as weather and land area. From the existing problems, this research was conducted using a Deep Learning approach, namely Artificial Neural Network (ANN) and Simple Recurrent Neural Network (SimpleRNN) to predict the amount of salt production. Weather data as input and salt production data as output taken from the last 6 years (2017-2022). The accuracy value in model training was used as a comparison to make predictions. the process of dividing training and testing data was also carried out with a ratio of 80%:20%. Furthermore, both methods was given 6 trainings each, so that the training of the two methods produces a different accuracy value. The ANN model produces an accuracy value of 53% and 71% for Simple RNN. Based on the resulting accuracy value, this base cased study is suitable for using the SimpleRNN algorithm model compared to ANN, provided that the amount of data used is large-scale
{"title":"IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK AND RECURRENT NEURAL NETWORK METHODS TO PREDICT THE AMOUNT OF SALT PRODUCTION","authors":"Miftahul Walid, Dini Fajariyah, Hozairi Hozairi, Budi Satria","doi":"10.36564/njca.v8i1.314","DOIUrl":"https://doi.org/10.36564/njca.v8i1.314","url":null,"abstract":"Sumenep is one of the salt-producing regencies in Madura with 27 sub-districts where 11 sub-districts are salt producers which have a total area of 2,077.12 ha of ponds. Generally, people only cultivate salt in certain months because this salt production can only be done and depends on several factors, such as weather and land area. From the existing problems, this research was conducted using a Deep Learning approach, namely Artificial Neural Network (ANN) and Simple Recurrent Neural Network (SimpleRNN) to predict the amount of salt production. Weather data as input and salt production data as output taken from the last 6 years (2017-2022). The accuracy value in model training was used as a comparison to make predictions. the process of dividing training and testing data was also carried out with a ratio of 80%:20%. Furthermore, both methods was given 6 trainings each, so that the training of the two methods produces a different accuracy value. The ANN model produces an accuracy value of 53% and 71% for Simple RNN. Based on the resulting accuracy value, this base cased study is suitable for using the SimpleRNN algorithm model compared to ANN, provided that the amount of data used is large-scale","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139360423","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}
Sudriyanto Sudriyanto, Ahmad Khairi, Atoillah Shohibul Hikam
{"title":"PENERAPAN ALGORITMA K-MEANS UNTUK CLUSTERING SANTRI PRA-SEJAHTERA DI YAYASAN BANTUAN SOSIAL (YBS) AZ-ZAINIYYAH PONDOK PESANTREN NURUL JADID","authors":"Sudriyanto Sudriyanto, Ahmad Khairi, Atoillah Shohibul Hikam","doi":"10.36564/njca.v8i1.234","DOIUrl":"https://doi.org/10.36564/njca.v8i1.234","url":null,"abstract":"","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115649372","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}
Data collection in research is challenging, especially on Kaggle, a popular platform for data scientists. However, in recent years, there have been many reports of fake accounts on Kaggle that are difficult to detect, threatening data integrity and research credibility. One of the key traits to identify fake accounts is by looking at incomplete or inconsistent profiles. This research aims to help datascience users to detect Kaggle bot accounts by building a model using Deep Neural Networks. DNN is a machine learning algorithm that mimics the nervous system in the human brain. DNN consists of input layers, hidden layers
{"title":"DETEKSI KAGGLE BOT ACCOUNT MENGGUNAKAN DEEP NEURAL NETWORKS","authors":"Virda Virdausih Putri, A. Tholib, Cahyuni Novia","doi":"10.36564/njca.v8i1.304","DOIUrl":"https://doi.org/10.36564/njca.v8i1.304","url":null,"abstract":"Data collection in research is challenging, especially on Kaggle, a popular platform for data scientists. However, in recent years, there have been many reports of fake accounts on Kaggle that are difficult to detect, threatening data integrity and research credibility. One of the key traits to identify fake accounts is by looking at incomplete or inconsistent profiles. This research aims to help datascience users to detect Kaggle bot accounts by building a model using Deep Neural Networks. DNN is a machine learning algorithm that mimics the nervous system in the human brain. DNN consists of input layers, hidden layers","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154887","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}
A. Mustofa, Fitrah Maharani Humaira, Myrna Ermawati, Peni Sriwahyu Natasari, Akhmad Arif Kurdianto, Aries Alfian Prasetyo, A. Faisal
Over the past few years, people have been able to get and share information through social media easily. Some of that information can be a false issue created by a buzzer account that intends to influence people into a specific opinion. Politicians often use social media to maintain a good image in society by utilizing buzzer accounts. The main characteristic of a buzzer account is that they upload the same content repeatedly within a certain period. Before analyzing data taken from social media such as Twitter, we need a buzzer detection system to filter data from buzzer users. This research attempts to build a buzzer detection system using text processing and classification method. We use the similarity of tweets as a feature for the buzzer detection system by applying Cosine Similarity to the Term Frequency - Inverse Document Frequency (TF-IDF) feature of the tweets. In addition, we will use other features such as the number of followers, number of followings, the intensity of tweets, the ratio of retweets, and the ratio of tweets that contain links as additional features in this study. This research uses these features as inputs to the Support Vector Machine model to determine whether an account is a buzzer or not. This system has promising results by having 89% accuracy, 86.67% precision, 70.91 % recall, and 78% F1-score.
{"title":"TWITTER BUZZER DETECTION SYSTEM USING TWEET SIMILARITY FEATURE AND SUPPORT VECTOR MACHINE","authors":"A. Mustofa, Fitrah Maharani Humaira, Myrna Ermawati, Peni Sriwahyu Natasari, Akhmad Arif Kurdianto, Aries Alfian Prasetyo, A. Faisal","doi":"10.36564/njca.v8i1.306","DOIUrl":"https://doi.org/10.36564/njca.v8i1.306","url":null,"abstract":"Over the past few years, people have been able to get and share information through social media easily. Some of that information can be a false issue created by a buzzer account that intends to influence people into a specific opinion. Politicians often use social media to maintain a good image in society by utilizing buzzer accounts. The main characteristic of a buzzer account is that they upload the same content repeatedly within a certain period. Before analyzing data taken from social media such as Twitter, we need a buzzer detection system to filter data from buzzer users. This research attempts to build a buzzer detection system using text processing and classification method. We use the similarity of tweets as a feature for the buzzer detection system by applying Cosine Similarity to the Term Frequency - Inverse Document Frequency (TF-IDF) feature of the tweets. In addition, we will use other features such as the number of followers, number of followings, the intensity of tweets, the ratio of retweets, and the ratio of tweets that contain links as additional features in this study. This research uses these features as inputs to the Support Vector Machine model to determine whether an account is a buzzer or not. This system has promising results by having 89% accuracy, 86.67% precision, 70.91 % recall, and 78% F1-score.","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126798033","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}
Tri Septianto, Koerniawan Dwi Wibawa, A. Lisdiyanto
Many changes have occurred due to the digitalization of education in Indonesia today, especially in terms of teaching and learning. Many colleges and universities have incorporated digital technology into the educational process, one of which is learning videos. Learning videos can be in the form of class recordings that are uploaded to the internet or tutorial videos made specifically for certain subjects. Learning videos can help students understand material more easily and can be accessed by students anytime and anywhere, thus facilitating the teaching and learning process. User Experience (UX) deals with the emotions, feelings, and thoughts that users experience when using a product or service. UX can be applied to learning videos by focusing on several factors, such as delivering material that is clear and easy to understand. So in this study, a UX assessment was carried out on learning videos. Learning videos using cash and bank material in introductory accounting courses at the diploma level with the concept of motion graphics Motion graphics were chosen because of their flexibility in conveying this information and attracting students' interest. This study consisted of seven processes, including: 1) determining goals and objectives; 2) making scenarios and scripts; 3) equipment preparation; 4) recording; 5) editing; 6) publication; and 7) assessment. In the assessment process, the respondent fills out a questionnaire. The questionnaire consists of 10 questions with aspects of use (usefulness, satisfaction, and ease of use). The value of each question in the questionnaire ranges from 1 to 4, with the following conditions: 1) bad; 2) enough; 3) good; and 4) very good. Every day for seven days, ten different people responded. As a result of filling out the questionnaire, a fluctuating curve was obtained.
{"title":"PERCEPTION OF USER EXPERIENCE: CASH AND BANK LEARNING VIDEO IN INTRODUCTORY ACCOUNTING COURSE AT DIPLOMA4 LEVEL","authors":"Tri Septianto, Koerniawan Dwi Wibawa, A. Lisdiyanto","doi":"10.36564/njca.v8i1.294","DOIUrl":"https://doi.org/10.36564/njca.v8i1.294","url":null,"abstract":"Many changes have occurred due to the digitalization of education in Indonesia today, especially in terms of teaching and learning. Many colleges and universities have incorporated digital technology into the educational process, one of which is learning videos. Learning videos can be in the form of class recordings that are uploaded to the internet or tutorial videos made specifically for certain subjects. Learning videos can help students understand material more easily and can be accessed by students anytime and anywhere, thus facilitating the teaching and learning process. User Experience (UX) deals with the emotions, feelings, and thoughts that users experience when using a product or service. UX can be applied to learning videos by focusing on several factors, such as delivering material that is clear and easy to understand. So in this study, a UX assessment was carried out on learning videos. Learning videos using cash and bank material in introductory accounting courses at the diploma level with the concept of motion graphics Motion graphics were chosen because of their flexibility in conveying this information and attracting students' interest. This study consisted of seven processes, including: 1) determining goals and objectives; 2) making scenarios and scripts; 3) equipment preparation; 4) recording; 5) editing; 6) publication; and 7) assessment. In the assessment process, the respondent fills out a questionnaire. The questionnaire consists of 10 questions with aspects of use (usefulness, satisfaction, and ease of use). The value of each question in the questionnaire ranges from 1 to 4, with the following conditions: 1) bad; 2) enough; 3) good; and 4) very good. Every day for seven days, ten different people responded. As a result of filling out the questionnaire, a fluctuating curve was obtained.","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126229815","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}
Tujuan penelitian ini untuk menerapkan sebuah algoritma pada sebuah aplikasi kamus pencarian informasi mengenai sistem manajemen basis data bagi para programmer yang akan mempelajari mengenai konsep dari Da-ta Base Management System (DBMS). Aplikasi tersebut menggunakan sebuah algoritma brute force, dimana algo-ritma tersebut digunakan untuk melakukan pencarian antara pola dan teks pada sebuah aplikasi pencarian ber-basis web. Metode penelitian yang digunakan adalah kombinasi antara metode penelitian kuantitatif dan kuali-tatif, sedangkan pengembangan perangkat lunak menggunakan pendekatan prototype. Hasil penelitian ini adalah sebuah algoritma brute force yang dapat digunakan untuk menyelesaikan masalah pencarian kamus istilah DBMS dengan sederhana, mudah dipahami dalam penerapannya, lebih efektif untuk data yang terbatas, source code yang dihasilkan sedikit dan menghasilkan algoritma yang dapat dieksekusi untuk beberapa masalah seperti pen-cocokan dan pencarian.
{"title":"PENERAPAN ALGORITMA BRUTE FORCE UNTUK PENCARIAN KAMUS ISTILAH SISTEM MANAJEMEN BASIS DATA","authors":"Heri Purwanto, Muhamad Fazri Annafi, Rikky Wisnu Nugraha, Rudy Sofian, Fahmi Reza Ferdiansyah","doi":"10.36564/njca.v7i2.281","DOIUrl":"https://doi.org/10.36564/njca.v7i2.281","url":null,"abstract":"Tujuan penelitian ini untuk menerapkan sebuah algoritma pada sebuah aplikasi kamus pencarian informasi mengenai sistem manajemen basis data bagi para programmer yang akan mempelajari mengenai konsep dari Da-ta Base Management System (DBMS). Aplikasi tersebut menggunakan sebuah algoritma brute force, dimana algo-ritma tersebut digunakan untuk melakukan pencarian antara pola dan teks pada sebuah aplikasi pencarian ber-basis web. Metode penelitian yang digunakan adalah kombinasi antara metode penelitian kuantitatif dan kuali-tatif, sedangkan pengembangan perangkat lunak menggunakan pendekatan prototype. Hasil penelitian ini adalah sebuah algoritma brute force yang dapat digunakan untuk menyelesaikan masalah pencarian kamus istilah DBMS dengan sederhana, mudah dipahami dalam penerapannya, lebih efektif untuk data yang terbatas, source code yang dihasilkan sedikit dan menghasilkan algoritma yang dapat dieksekusi untuk beberapa masalah seperti pen-cocokan dan pencarian.","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129855373","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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