Journal of Dinda : Data Science, Information Technology, and Data Analytics
Journal of Dinda : Data Science, Information Technology, and Data Analytics as a publication media for research results in the fields of Data Science, Information Technology, and Data Analytics, but not implicitly limited. Published 2 times a year in February and August. The journal is managed by the Data Engineering Research Group, Faculty of Informatics, Telkom Purwokerto Institute of Technology. Journal of Dinda is a medium for scientific studies resulting from research, thinking, and critical-analytic studies regarding Data Science, Informatics, and Information Technology. This journal is expected to be a place to foster enthusiasm in education, research, and community service which continues to develop into supporting references for academics. FOCUS AND SCOPE Journal of Dinda : Data Science, Information Technology, and Data Analytics receive scientific articles with the scope of research on: Machine Learning, Deep Learning, Artificial Intelligence, Databases, Statistics, Optimization, Natural Language Processing, Big Data and Cloud Computing, Bioinformatics, Computer Vision, Speech Processing, Information Theory and Models, Data Mining, Mathematical, Probabilistic and Statical Theories, Machine Learning Theories, Models and Systems, Social Science, Information Technology
Articles
36 Documents
<![CDATA[Sentiment Analysis Destinasi Wisata Berdasarkan Opini Masyarakat Menggunakan Naive Bayes ]]>
<![CDATA[Rizki Alamsyah]]>;
<![CDATA[Tb Ai Munandar]]>;
<![CDATA[Fata Nidaul Khasanah]]>;
<![CDATA[Siti Setiawati]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 2 No 2 (2022): August ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v2i2.690
<![CDATA[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%.]]>
<![CDATA[Implementasi Augmented Reality untuk Pengembangan Aplikasi Pengenalan Senjata Tradisional Kujang ]]>
<![CDATA[Muhammad Azhar Khairi]]>;
<![CDATA[TB Ai Munandar]]>;
<![CDATA[Siti Setiawati]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 2 No 2 (2022): August ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v2i2.704
<![CDATA[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.]]>
<![CDATA[Pengembangan Aplikasi Pengelolaan Sampah Berbasis Android Studi Kasus Bank Sampah Desa Kalibagor ]]>
<![CDATA[Gita Fadila Fitriana]]>;
<![CDATA[Adinda Hashina]]>;
<![CDATA[Nia Annisa Ferani Tanjung]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 2 No 2 (2022): August ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v2i2.741
<![CDATA[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.]]>
<![CDATA[Comparison Analysis of Native Database Design with Object Oriented Design ]]>
<![CDATA[Muhamad Fernandy]]>;
<![CDATA[Khevien Rizkhi Darmawan]]>;
<![CDATA[Daniel Yeri Kristiyanto]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.707
<![CDATA[Database design requires a structured database design, because the database contains data or information. The design method of the database design determines the structure of the designed design. Database design have two methods, either native or object-oriented method. Native database design has two stages, it is Data Flow Dia-gram and Entity Relationship Diagram, where as if it is object-oriented design using use case diagrams. It is ac-companied by class diagrams. Native designs tend to be more unstructured than object-oriented design. Native design focuses more on entity flow while object-oriented design focuses on database design entities. Another ad-vantage of using object-oriented design is the ease of explaining the database design to the client because of the simple design so that it can be easily understood. The method used in this research is prototype and relational algebra. The prototyping method is a technique to collect certain information about the user's information needs appropriately. This research focuses on comparing the native and object-oriented design.]]>
<![CDATA[Prediction of Covid-19 Cases in Central Java using the Autoregressive (AR) Method ]]>
<![CDATA[Tangguh Widodo]]>;
<![CDATA[Siti Maghfiroh]]>;
<![CDATA[Surya Haganta Brema Ginting]]>;
<![CDATA[Alif Aryaputra]]>;
<![CDATA[Sudianto Sudianto]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.740
<![CDATA[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]]>
<![CDATA[Diabetes Diagnostic Expert System using Website-Based Forward Chaining Method ]]>
<![CDATA[Tiara Khumaira Putri]]>;
<![CDATA[Mahda Laina Arnumukti]]>;
<![CDATA[Khusnul Khatimah]]>;
<![CDATA[Egidya Zalsabila]]>;
<![CDATA[Sudianto Sudianto]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.752
<![CDATA[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]]>
<![CDATA[An Expert System for Diagnosing the Impact of Traffic Accidents using the Forward Chaining Method ]]>
<![CDATA[Akbar Maulana Yusuf]]>;
<![CDATA[Jonathan Indra Chelidivano]]>;
<![CDATA[Tavany Amalia Rizky]]>;
<![CDATA[Yanuar Sabikhi]]>;
<![CDATA[Sudianto Sudianto]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.767
<![CDATA[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.]]>
<![CDATA[Design and Creation of Online Attendance Systems in Web-Based Higher Education Institutions ]]>
<![CDATA[Heldiansyah Heldiansyah]]>;
<![CDATA[Muchtar Salim]]>;
<![CDATA[Rustaniah Rustaniah]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.771
<![CDATA[Kedisiplinan dan kinerja merupakan faktor penting pada institusi pendidikan. Penilaian disiplin dan kinerja pegawai tersebut dapat dinilai melalui kehadiran. Pada masa pandemi COVID-19 dimana seluruh pegawai diharuskan bekerja dari rumah, namun data kehadiran tetap harus dicatat dengan baik tanpa datang secara fisik ke kampus. Hal ini dapat dilakukan dengan memanfaatkan teknologi komputer dan internet berupa sistem presensi online. Penelitian ini merancang dan membuat prototype sistem presensi online berbasis web bagi pegawai institusi pendidikan untuk memberikan solusi terhadap kendala yang dihadapi membantu melakukan pencatatan kehadiran dari mana saja.]]>
<![CDATA[Utilization of Google Trends in Knowing Public Attention to Diabetes in Indonesia in 2018 ]]>
<![CDATA[Guruh Dewa Prataba]]>;
<![CDATA[Aida Devanty Putri]]>;
<![CDATA[Lalu Moh. Arsal Fadila]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.765
<![CDATA[Diabetes is one of the four non-communicable diseases that are prioritized because of the sufferer’s number and the increasing prevalence rate. The results of the 2018 Basic Health Research shows an iceberg phenomenon where there are far more people living with diabetes who have not been diagnosed than those who live with diabetes and know their condition. The public's desire to find out in advance the disease that may be suffered on Google opens up opportunities of research in public concern about diabetes. This research with descriptive analysis aims to describe the public's attention to diabetes based on Google Trends data. The results show that the development of public attention in 2018 tends to fluctuate with the highest index on World Diabetes Day. Then there are provinces that need attention with high diabetes prevalence values but still have a low volume of diabetes-related searches. Most topics related to diabetes are about the drugs, causes, and symptoms of diabetes. So it is necessary to socialize diabetes literacy, especially in areas with low public attention]]>
<![CDATA[Cluster Analysis of Covid-19 in Indonesia Using K-means Method ]]>
<![CDATA[Claudia Larasvaty]]>;
<![CDATA[Siti Khomsah]]>;
<![CDATA[Rona Nisa SA]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v3i1.822
<![CDATA[These days technology are rapidly increasing and developing in various fields, especially data storage. The information that has been stored in a database usually called a dataset. Covid-19 is a new type of respiratory disease that attacks the respiratory system with rapid transmission, followed by the increasing number of Covid-19 cases that continues to increase every day in all provinces in Indonesia. This study aims to cluster the spread of Covid-19 in every province in Indonesia by using the data that obtained from the website named kaggle with many data variables. The method used in this research is K-Means. From many variables in the data, for this study only 3 variables were taken, which are: Number of Recovery, Number of Deaths, and Number of total Cases in Covid-19 in Indonesia. These 3 variables then will be applied using the K-Means method and formed 3 provincial groups. By using the clustering method and the K-means algorithm, this research can be carried out to find the characteristics of the distribution in each province in Indonesia by looking at the best clusters.]]>
