Akbar Yusuf, Jonathan Indra Chelidivano, Tavany Amalia Rizky, Yanuar Sabikhi, Sudianto Sudianto
Unexpected events that we often hear about are traffic accidents caused by many factors. Accidents also cause impacts in terms of health. This study aims to provide information regarding the effects of traffic accidents in terms of health based on some visible symptoms that emerged from the victim's body at the scene using an expert system. The Expert System is designed on a website-based application. The forward chaining method is used to get a conclusion based on the facts. The results of this research users gain knowledge about the impact of traffic accidents and the diagnosis on the victim's body that is close to the knowledge of experts with accuracy 87.5%. The website is designed to be used as a guide for users to be able to provide appropriate first aid to accident victims.
{"title":"An Expert System for Diagnosing the Impact of Traffic Accidents using the Forward Chaining Method","authors":"Akbar Yusuf, Jonathan Indra Chelidivano, Tavany Amalia Rizky, Yanuar Sabikhi, Sudianto Sudianto","doi":"10.20895/dinda.v3i1.767","DOIUrl":"https://doi.org/10.20895/dinda.v3i1.767","url":null,"abstract":"Unexpected events that we often hear about are traffic accidents caused by many factors. Accidents also cause impacts in terms of health. This study aims to provide information regarding the effects of traffic accidents in terms of health based on some visible symptoms that emerged from the victim's body at the scene using an expert system. The Expert System is designed on a website-based application. The forward chaining method is used to get a conclusion based on the facts. The results of this research users gain knowledge about the impact of traffic accidents and the diagnosis on the victim's body that is close to the knowledge of experts with accuracy 87.5%. The website is designed to be used as a guide for users to be able to provide appropriate first aid to accident victims.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121623320","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}
Since the beginning of the Covid-19 case in Indonesia in March 2020, more than 6 million confirmed cases had been confirmed. The rapid development of this case can be accessed through the covid19.go.id page. In Central Java province, confirmed cases as of July 6, 2022, reached 628,393 people, with the number of recovered patients reaching 594,783 people and the number of patients dying as many as 33,215 people. With this data, a prediction is needed to help the government anticipate an increase in Covid-19 cases in Central Java Province. This study aims to create a forecasting model using the Autoregressive (AR) method by optimizing the function parameters. Then Mean Squared Error (MSE) to analyze the results of forecasting data errors. The results are the best parameter functions on AR (30) with the smallest MSE. Furthermore, predictions are made from July 1 to August 30, 2022, showing an increase in cases
{"title":"Prediction of Covid-19 Cases in Central Java using the Autoregressive (AR) Method","authors":"Tangguh Widodo, S. Maghfiroh, Surya Haganta Brema Ginting, Alif Aryaputra, Sudianto Sudianto","doi":"10.20895/dinda.v3i1.740","DOIUrl":"https://doi.org/10.20895/dinda.v3i1.740","url":null,"abstract":"Since the beginning of the Covid-19 case in Indonesia in March 2020, more than 6 million confirmed cases had been confirmed. The rapid development of this case can be accessed through the covid19.go.id page. In Central Java province, confirmed cases as of July 6, 2022, reached 628,393 people, with the number of recovered patients reaching 594,783 people and the number of patients dying as many as 33,215 people. With this data, a prediction is needed to help the government anticipate an increase in Covid-19 cases in Central Java Province. This study aims to create a forecasting model using the Autoregressive (AR) method by optimizing the function parameters. Then Mean Squared Error (MSE) to analyze the results of forecasting data errors. The results are the best parameter functions on AR (30) with the smallest MSE. Furthermore, predictions are made from July 1 to August 30, 2022, showing an increase in cases","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157768","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}
Diabetes is a chronic disease. The World Health Organization predicts that Indonesia's number of diabetic patients will continue to increase significantly to 16.7 million in 2045. As early prevention, early diagnosis is needed to anticipate more severe diabetes. This study aims to build an expert system for detecting diabetes using a web-based forward chaining method. The expert system is built by collecting indications from experts by collecting facts using the forward chaining method. Furthermore, judging by the unhealthy lifestyle of many people who consult with hospitals or health workers. From the results obtained, the system can work well based on knowledge from experts
{"title":"Diabetes Diagnostic Expert System using Website-Based Forward Chaining Method","authors":"Tiara Khumaira Putri, Mahda Laina Arnumukti, K. Khatimah, Egidya Zalsabila, Sudianto Sudianto","doi":"10.20895/dinda.v3i1.752","DOIUrl":"https://doi.org/10.20895/dinda.v3i1.752","url":null,"abstract":"Diabetes is a chronic disease. The World Health Organization predicts that Indonesia's number of diabetic patients will continue to increase significantly to 16.7 million in 2045. As early prevention, early diagnosis is needed to anticipate more severe diabetes. This study aims to build an expert system for detecting diabetes using a web-based forward chaining method. The expert system is built by collecting indications from experts by collecting facts using the forward chaining method. Furthermore, judging by the unhealthy lifestyle of many people who consult with hospitals or health workers. From the results obtained, the system can work well based on knowledge from experts","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133802873","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}
Gita Fadila Fitriana, Adinda Hashina, Nia Annisa Ferani Tanjung
Penumpukan sampah tercatat mencapai 625 juta liter dari jumlah penduduk pada tahun 2012 di Indonesia menurut Kementerian Lingkungan Hidup. Dari hal ini Bank Sampah menjadi sebuah solusi bagi pemerintah dalam penanggulangan pengelolaan sampah. Namun dalam berjalannya Bank Sampah, terdapat beberapa kendala yang dialami. Seperti yang dialami oleh bank sampah desa Kalibagor kecamatan Kalibagor Kabupaten Banyumas. Bank Sampah yang ada di desa Kalibagor ini sudah berjalan sejak oktober tahun 2020. Dalam menjalankan Bank Sampah ini KSM (Kelompok Swadaya Masyarakat) selaku petugas Bank Sampah mengalami kesulitan yaitu karena Bank Sampah masih melakukan pencatatan transaksi secara manual sehingga meningkatkan resiko kehilangan data. Maka dari itu diperlukan aplikasi yang dapat mencatat berbagai transaksi yang ada di Bank Sampah berbasis android. Dalam pengembangan aplikasi ini akan menggunakan metode Kanban. Hasil yang diperoleh dari pengembangan aplikasi ini adalah berhasil membangun aplikasi berbasis android menggunakan metode Kanban yang dapat mencatat berbagai transaksi di dalam Bank Sampah desa Kalibagor sehingga dapat membantu petugas KSM dalam pencatatan transaksi Bank Sampah. Selain itu hasil dari pengujian aplikasi yang melibatkan lima responden menujukan bahwa aplikasi dapat berjalan sesuai dengan harapan dengan hasil kelayakan 100% berhasil.
据环境部(environment ministry of environment)称，2012年印尼有创纪录的垃圾堆积人数为1.25亿升。垃圾银行成为政府管理垃圾的解决方案。但在垃圾银行的困境中，存在着一些障碍。正如班尤马斯区卡利巴戈尔村垃圾银行所遭遇的那样。这个垃圾银行从2020年10月就开始运作了。在经营这家垃圾银行KSM(非政府组织)时，垃圾银行工作人员遇到了困难，因为垃圾银行仍在手工进行交易，增加了丢失数据的风险。这就是为什么需要一个应用程序来记录android银行的各种交易。在开发过程中，该应用程序将使用坎班方法。应用程序开发的结果是，它成功地使用Kanban方法创建了一个android基应用程序，可以在Kalibagor村垃圾银行记录不同的交易，从而在垃圾银行交易日志中帮助KSM官员。除此之外，有五名受访者参与的应用程序测试的结果表明，该应用程序可以与预期的结果保持100%的可行性。
{"title":"Pengembangan Aplikasi Pengelolaan Sampah Berbasis Android Studi Kasus Bank Sampah Desa Kalibagor","authors":"Gita Fadila Fitriana, Adinda Hashina, Nia Annisa Ferani Tanjung","doi":"10.20895/dinda.v2i2.741","DOIUrl":"https://doi.org/10.20895/dinda.v2i2.741","url":null,"abstract":"Penumpukan sampah tercatat mencapai 625 juta liter dari jumlah penduduk pada tahun 2012 di Indonesia menurut Kementerian Lingkungan Hidup. Dari hal ini Bank Sampah menjadi sebuah solusi bagi pemerintah dalam penanggulangan pengelolaan sampah. Namun dalam berjalannya Bank Sampah, terdapat beberapa kendala yang dialami. Seperti yang dialami oleh bank sampah desa Kalibagor kecamatan Kalibagor Kabupaten Banyumas. Bank Sampah yang ada di desa Kalibagor ini sudah berjalan sejak oktober tahun 2020. Dalam menjalankan Bank Sampah ini KSM (Kelompok Swadaya Masyarakat) selaku petugas Bank Sampah mengalami kesulitan yaitu karena Bank Sampah masih melakukan pencatatan transaksi secara manual sehingga meningkatkan resiko kehilangan data. Maka dari itu diperlukan aplikasi yang dapat mencatat berbagai transaksi yang ada di Bank Sampah berbasis android. Dalam pengembangan aplikasi ini akan menggunakan metode Kanban. Hasil yang diperoleh dari pengembangan aplikasi ini adalah berhasil membangun aplikasi berbasis android menggunakan metode Kanban yang dapat mencatat berbagai transaksi di dalam Bank Sampah desa Kalibagor sehingga dapat membantu petugas KSM dalam pencatatan transaksi Bank Sampah. Selain itu hasil dari pengujian aplikasi yang melibatkan lima responden menujukan bahwa aplikasi dapat berjalan sesuai dengan harapan dengan hasil kelayakan 100% berhasil.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116771047","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}
Muhammad Azhar Khairi, Tb. Ai Munandar, S. Setiawati
Kujang merupakan salah satu senjata tradisional yang menjadi ciri khas Jawa Barat. Namun masih banyak masyarakat yang belum mengetahui makna dan jenis-jenis dari kujang. Untuk mengenal kujang saat ini sangat sulit, dikarenakan sedikitnya masyarakat yang mempunyai atau mengkoleksi kujang. Dan juga tidak semua museum mempunyai jenis-jenis kujang yang lengkap, seperti Museum Pusaka Taman Mini Indonesia Indah (TMII). Museum tersebut hanya memiliki 4 jenis kujang yang dapat diperkenalkan. Informasi yang diberikan kepada pengujung juga tidak terlalu banyak. Penelitian ini bertujuan untuk mengembangkan aplikasi pengenalan senjata tradisional kujang menggunakan augmented reality, sehingga memudahkan pengunjung Museum Pusaka Taman Mini Indonesia Indah (TMII) untuk mengenal kujang dengan melihat bentuk secara 3D serta menambahkan materi mengenai kujang. Penggunaan aplikasi augmented reality ini menggunakan marker yang nantinya akan dideteksi oleh kamera dan memunculkan objek 3D. Pembuatan aplikasi augmented reality ini menggunakan tools vuforia. Hasil penelitian memperlihatkan bahwa aplikasi yang dikembangkan sangat diterima dengan baik oleh pengguna. Hal ini diperlihatkan dengan nilai system usability scale dari 58 responden yang menghasilkan skor rata-rata SUS sebesar 82,97. Skor tersebut termasuk ke dalam grade scale B, adjective rating good, dan acceptable ranges high. Kata kunci: kujang, augmented reality, marker, vuforia.
{"title":"Implementasi Augmented Reality untuk Pengembangan Aplikasi Pengenalan Senjata Tradisional Kujang","authors":"Muhammad Azhar Khairi, Tb. Ai Munandar, S. Setiawati","doi":"10.20895/dinda.v2i2.704","DOIUrl":"https://doi.org/10.20895/dinda.v2i2.704","url":null,"abstract":"Kujang merupakan salah satu senjata tradisional yang menjadi ciri khas Jawa Barat. Namun masih banyak masyarakat yang belum mengetahui makna dan jenis-jenis dari kujang. Untuk mengenal kujang saat ini sangat sulit, dikarenakan sedikitnya masyarakat yang mempunyai atau mengkoleksi kujang. Dan juga tidak semua museum mempunyai jenis-jenis kujang yang lengkap, seperti Museum Pusaka Taman Mini Indonesia Indah (TMII). Museum tersebut hanya memiliki 4 jenis kujang yang dapat diperkenalkan. Informasi yang diberikan kepada pengujung juga tidak terlalu banyak. Penelitian ini bertujuan untuk mengembangkan aplikasi pengenalan senjata tradisional kujang menggunakan augmented reality, sehingga memudahkan pengunjung Museum Pusaka Taman Mini Indonesia Indah (TMII) untuk mengenal kujang dengan melihat bentuk secara 3D serta menambahkan materi mengenai kujang. Penggunaan aplikasi augmented reality ini menggunakan marker yang nantinya akan dideteksi oleh kamera dan memunculkan objek 3D. Pembuatan aplikasi augmented reality ini menggunakan tools vuforia. Hasil penelitian memperlihatkan bahwa aplikasi yang dikembangkan sangat diterima dengan baik oleh pengguna. Hal ini diperlihatkan dengan nilai system usability scale dari 58 responden yang menghasilkan skor rata-rata SUS sebesar 82,97. Skor tersebut termasuk ke dalam grade scale B, adjective rating good, dan acceptable ranges high. \u0000Kata kunci: kujang, augmented reality, marker, vuforia.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425777","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}
Cahyani Ainun Awaliyah, Agi Prasetyadi, A. Junaidi
The more internet users, the more interest in creating websites for certain purposes. To create a website that can attract visitors, a good website design is required. Website design is an important element in making a website, because the design of a website will create its own impression and image for website users. One of the technological developments is artificial intelligence, namely the Recommendation System which is a computer technology that is able to provide recommendations for the layman, in this study a website design recommendation system based on the Euclidean distance assessment resulted in a "good" SUS (System Usability Scale) grade C “good”.
{"title":"Sistem Rekomendasi Desain Website Berdasarkan Tingkat Kemiripan Menggunakan Euclidean Distance","authors":"Cahyani Ainun Awaliyah, Agi Prasetyadi, A. Junaidi","doi":"10.20895/dinda.v2i2.543","DOIUrl":"https://doi.org/10.20895/dinda.v2i2.543","url":null,"abstract":"The more internet users, the more interest in creating websites for certain purposes. To create a website that can attract visitors, a good website design is required. Website design is an important element in making a website, because the design of a website will create its own impression and image for website users. One of the technological developments is artificial intelligence, namely the Recommendation System which is a computer technology that is able to provide recommendations for the layman, in this study a website design recommendation system based on the Euclidean distance assessment resulted in a \"good\" SUS (System Usability Scale) grade C “good”.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126595549","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}
Rizki Alamsyah, Tb. Ai Munandar, Fata Nidaul Khasanah, Siti Setiawati
The topic used in this research is to discuss the problem of public opinion on social media related to tourist destinations in Bekasi Regency by implementing the Naive Bayes algorithm to conduct sentiment analysis on existing opinions. This study aims to analyze public opinion on social media towards tourist destinations in Bekasi Regency using the Naive Bayes algorithm. The data used in this study are posts or comments from the public on social media facebook as much as 1000 data. The method of data collection is done manually. The data analysis technique in this study are changing non-standard words, labelling, text preprocessing and naive bayes analysis methods. The results of this study indicate that positive opinion dominates compared to negative and neutral opinions with the results obtained at F1 positive score 83.5%, F1 negative score 68.2% and F1 neutral score 59.5% with positive recall 81%, negative 82% and neutral 55% precision positive 85%, negative 58% and neutral 64% with an accuracy rate of 76%.
{"title":"Sentiment Analysis Destinasi Wisata Berdasarkan Opini Masyarakat Menggunakan Naive Bayes","authors":"Rizki Alamsyah, Tb. Ai Munandar, Fata Nidaul Khasanah, Siti Setiawati","doi":"10.20895/dinda.v2i2.690","DOIUrl":"https://doi.org/10.20895/dinda.v2i2.690","url":null,"abstract":"The topic used in this research is to discuss the problem of public opinion on social media related to tourist destinations in Bekasi Regency by implementing the Naive Bayes algorithm to conduct sentiment analysis on existing opinions. This study aims to analyze public opinion on social media towards tourist destinations in Bekasi Regency using the Naive Bayes algorithm. The data used in this study are posts or comments from the public on social media facebook as much as 1000 data. The method of data collection is done manually. The data analysis technique in this study are changing non-standard words, labelling, text preprocessing and naive bayes analysis methods. The results of this study indicate that positive opinion dominates compared to negative and neutral opinions with the results obtained at F1 positive score 83.5%, F1 negative score 68.2% and F1 neutral score 59.5% with positive recall 81%, negative 82% and neutral 55% precision positive 85%, negative 58% and neutral 64% with an accuracy rate of 76%.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133871","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}
Sayyid Yakan Khomsi Pane, Nur Ghaniaviyanto Ramadhan, Faisal Dharma Adhinata
Many human activities are related to information systems. Not only in developed countries, in Indonesia, information systems have been widely applied everywhere, such as in offices, supermarkets, airports, and even at home when users interact with the internet. Increased company operations in business activities can not be separated from information technology. The use of information technology is one of the effective steps in data processing, as well as business transactions using increasingly sophisticated computer equipment. A good database design plays a very important role in the performance and smooth running of an agency. So, in this research, a database design will be carried out with table normalization using MySQL at the Barokah Abadi trading company. This research also designs using entity relationship diagram (ERD).
{"title":"Perancangan Basis Data Menggunakan Normalisasi Tabel Pada Perusahaan Dagang Barokah Abadi","authors":"Sayyid Yakan Khomsi Pane, Nur Ghaniaviyanto Ramadhan, Faisal Dharma Adhinata","doi":"10.20895/dinda.v2i2.563","DOIUrl":"https://doi.org/10.20895/dinda.v2i2.563","url":null,"abstract":"Many human activities are related to information systems. Not only in developed countries, in Indonesia, information systems have been widely applied everywhere, such as in offices, supermarkets, airports, and even at home when users interact with the internet. Increased company operations in business activities can not be separated from information technology. The use of information technology is one of the effective steps in data processing, as well as business transactions using increasingly sophisticated computer equipment. A good database design plays a very important role in the performance and smooth running of an agency. So, in this research, a database design will be carried out with table normalization using MySQL at the Barokah Abadi trading company. This research also designs using entity relationship diagram (ERD).","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132944401","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}
Irsyad Zulfikar, M. A. Saputra, Nike Prasetyo, Teguh Rijanandi, Faisal Dharma Adhinata
Industri tidak bisa dipisahkan dari adanya sumber daya manusia (SDM). Walaupun industri memiliki teknologi yang maju dan juga modern, namun berhasilnya suatu perusahaan tak lepas dari jasa para sumber daya manusia yang unggul. Dengan begitu perlu bagi perusahaan untuk memperhatikan para pekerjanya. Salah satu usaha untuk meningkatkan mutu SDM yaitu dengan pemberian gaji berdasarkan pengalaman kerja. Ketika seseorang yang sudah lama bekerja di suatu perusahaan maka gajinya akan semakin naik. Penelitian ini ditujukan guna menganalisis prediksi gaji karyawan berdasarkan lama tahun bekerja. Dalam penelitian ini faktor pengujianya menggunakan variable (X) sebagai faktor pemicu terhadap variable (Y) konsekuensi. Metode yang digunakan dalam riset ini yaitu menggunakan metode Regresi linier. Kemudian kami menggunakan survey kuesioner kepada 30 responden sebagai metode pengambilan data.
{"title":"Prediksi Gaji Berdasarkan Pengalaman Bekerja Menggunakan Metode Regresi Linear","authors":"Irsyad Zulfikar, M. A. Saputra, Nike Prasetyo, Teguh Rijanandi, Faisal Dharma Adhinata","doi":"10.20895/dinda.v2i2.548","DOIUrl":"https://doi.org/10.20895/dinda.v2i2.548","url":null,"abstract":"Industri tidak bisa dipisahkan dari adanya sumber daya manusia (SDM). Walaupun industri memiliki teknologi yang maju dan juga modern, namun berhasilnya suatu perusahaan tak lepas dari jasa para sumber daya manusia yang unggul. Dengan begitu perlu bagi perusahaan untuk memperhatikan para pekerjanya. Salah satu usaha untuk meningkatkan mutu SDM yaitu dengan pemberian gaji berdasarkan pengalaman kerja. Ketika seseorang yang sudah lama bekerja di suatu perusahaan maka gajinya akan semakin naik. Penelitian ini ditujukan guna menganalisis prediksi gaji karyawan berdasarkan lama tahun bekerja. Dalam penelitian ini faktor pengujianya menggunakan variable (X) sebagai faktor pemicu terhadap variable (Y) konsekuensi. Metode yang digunakan dalam riset ini yaitu menggunakan metode Regresi linier. Kemudian kami menggunakan survey kuesioner kepada 30 responden sebagai metode pengambilan data.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817351","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}
Janur Syah Putra, R. Ramadhani, Auliya Burhanuddin
Shares are securities as proof of ownership of investors in a company. Stocks have a volatile nature, this makes stocks difficult to predict. Stock prediction is an effort to estimate the stock price, especially in the Bank Rakyat Indonesia company that will appear in the future, and to increase investors' profit opportunities in making investment decisions. During the COVID-19 pandemic, Bank BRI's shares experienced significant ups and downs in four months, which illustrates the sensitivity of the stock to an event. Therefore, it is important to predict stock prices to reduce the risk accepted by investors. The prediction itself requires time series data. Time series is data that is collected sequentially from time to time. The method used for time series data is Linear Regression because this method can handle time-series data. Based on these problems, stock prediction research will be conducted at the Bank Rakyat Indonesia company using the Linear Regression method. Bank Rakyat Indonesia share price data were obtained from the investing.com website from the period starting on January 1, 2008, to June 1, 2020. The data is processed starting from preprocessing to determine attributes, remove unnecessary attributes, and change the contents of the data type, then process split data to divide the dataset into training and test data. The attributes used in this study are Date and Price and the distribution of the data used is 60:40, 65:35, 70:30, 75:25, and 80:20. The best ratio is at 80:20 which produces train and test accuracy of 0.89 and 0.91, Then each training data and testing data are entered into the linear regression model for prediction. The error results from the predictions were calculated using MAPE and yielded a percentage of 13.751% for training data, 13.773% for test data, and 13.755% for overall data. The MAPE results indicate that the linear regression method can be used to predict the stock price of BRI Bank.
{"title":"Prediksi Harga Saham Bank Bri Menggunakan Algoritma Linear Regresion Sebagai Strategi Jual Beli Saham","authors":"Janur Syah Putra, R. Ramadhani, Auliya Burhanuddin","doi":"10.20895/dinda.v2i1.273","DOIUrl":"https://doi.org/10.20895/dinda.v2i1.273","url":null,"abstract":"Shares are securities as proof of ownership of investors in a company. Stocks have a volatile nature, this makes stocks difficult to predict. Stock prediction is an effort to estimate the stock price, especially in the Bank Rakyat Indonesia company that will appear in the future, and to increase investors' profit opportunities in making investment decisions. During the COVID-19 pandemic, Bank BRI's shares experienced significant ups and downs in four months, which illustrates the sensitivity of the stock to an event. Therefore, it is important to predict stock prices to reduce the risk accepted by investors. The prediction itself requires time series data. Time series is data that is collected sequentially from time to time. The method used for time series data is Linear Regression because this method can handle time-series data. Based on these problems, stock prediction research will be conducted at the Bank Rakyat Indonesia company using the Linear Regression method. Bank Rakyat Indonesia share price data were obtained from the investing.com website from the period starting on January 1, 2008, to June 1, 2020. The data is processed starting from preprocessing to determine attributes, remove unnecessary attributes, and change the contents of the data type, then process split data to divide the dataset into training and test data. The attributes used in this study are Date and Price and the distribution of the data used is 60:40, 65:35, 70:30, 75:25, and 80:20. The best ratio is at 80:20 which produces train and test accuracy of 0.89 and 0.91, Then each training data and testing data are entered into the linear regression model for prediction. The error results from the predictions were calculated using MAPE and yielded a percentage of 13.751% for training data, 13.773% for test data, and 13.755% for overall data. The MAPE results indicate that the linear regression method can be used to predict the stock price of BRI Bank.","PeriodicalId":419119,"journal":{"name":"Journal of Dinda : Data Science, Information Technology, and Data Analytics","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114376796","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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