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Journal of Data Mining and Information Systems
Published by Yayasan Pendidikan Penelitian Pengabdian Algero
ISSN : 29865271     EISSN : 29863473     DOI : https://doi.org/10.54259/jdmis
Core Subject : Science,
Computer Science & IT
Journal of Data Mining and Information Systems (JDMIS) is intended as a medium for scientific studies of research results, thoughts, and critical-analytic studies regarding research in the field of computer science and technology, including Information Technology, Informatics Management, Data Mining, and Information Systems. It is part of the spirit of disseminating knowledge resulting from research and thoughts for the service of the wider community. In addition, it serves as a reference source for academics in Computer Science and Information Technology. JDMIS publishes papers regularly two times a year, namely in February and August. All publications in JDMIS are open, allowing articles to be freely available online without a subscription.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 6 Documents
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Search results for , issue "Vol. 1 No. 2 (2023): August 2023" : 6 Documents clear
Manajemen Layanan Teknologi Informasi Perusahaan Perseroan Menggunakan Information Technology Infrastructure Library Service Operation: Literature Review Tjonadi, Callista; Wijaya, Khellyn Viorensa; Roselin, Vanesia; Natalie, Vellyn; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1611

Abstract

At this time, information technology is growing rapidly in various business fields. To provide good service, IT Service Management is implemented. Service Management can provide value to be implemented by companies, one of which is by implementing the ITIL framework which consists of several services but in this journal will focus on Service Operations. The research method applied is qualitative research which analyzes the data in depth. From the results of the research conducted, it is known that there are several companies that have not implemented Service Operations optimally, even so Service Operations still have a role within the company. The processes contained in Service Operations such as Event Management, Problem Management, Incident Management, Request Fulfillment, and Access Management have an important role so that the systems within the company's companies run according to the goals and wishes of customers, there are implementations made to assess IT service operations which will show the maturity level of existing processes, some create strategies using Customer Relationship Management, some create SOPs using the PDCA method, and some implement Service Operations by improving services.
Rancang Bangun Aplikasi Akuntansi Pinjaman Anggota Koperasi Kencana Cirebon Akbari, Safitri; Suwandi, Suwandi; Turini, Turini; Septian, Willy Eka
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1676

Abstract

One of the activities in the Employee Cooperative is to provide credit loans to its members, in accordance with one of the goals of the Cooperative establishment, namely to provide welfare for members. The purpose of this research is to make a loan accounting application for members of the Kencana Cooperative, Cirebon City. The object of this research is the Kencana Cooperative, which is a cooperative owned by the National Population and Family Planning Agency (BKKBN) of Cirebon City. Data collection techniques that the author uses in this study are interviews, observation and literature study. Applications made using PHP programming (Hypertext Preprocessor) while for data storage using MySQL database. This research is very useful for the Kencana Cooperative of Cirebon City, because it can produce an accounting application that can be used as an internal control tool in terms of recording loans for cooperative members. This application can record all cooperative employee loan activities. The limitation of this research is that this application has not been able to make financial reports of the Kencana Cooperative, such as the Balance Sheet and Profit and Loss Statements. This research can contribute to the author, the Kencana Cooperative and the readers. This research focuses on the field of computerized accounting, so that writers and readers can add insight in the field of computerized accounting
Mengetahui Tingkat Kekuatan Karakter Klee pada Game Genshin Impact Menggunakan Metode Klasifikasi dengan Algoritma Naïve Bayes Putra Pratama, M. Faskal
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1710

Abstract

Video games are a form of interactive entertainment played via electronic devices such as computers, game consoles, smartphones, or tablets. Video games usually involve players in a virtual experience where they control characters or objects in the world created in the game. For example, genshin impact is played by many people because it has characteristics and uniqueness in the game, such as the combination of elements in each character, an interesting storyline, and much more. This study aims to assess a character based on the attributes possessed by the character whether it is strong or weak by using the naïve Bayes method. Through the classification carried out, the object to be chosen is a character named Klee to assess whether the character is strong or weak.
Studi Kasus Asosiasi Pembelian Produk Teknologi pada Toko Elektronik dengan Metode Apriori Mushleh, Muhammad; Testiana, Gusmelia
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1718

Abstract

This study aims to analyze the purchase pattern of technology products in an electronic store using a priori method. A priori method is a data analysis technique used to identify associative relationships between various items in a dataset. In this study, data on purchase transactions of technology products from electronic stores becomes a database to be analyzed. The results of this analysis are expected to provide useful insights for electronic stores in developing marketing strategies and managing product stock. By knowing common buying patterns between technology products, e-stores can optimize product placement in stores, compile relevant promotional packages, and increase customer satisfaction. The research will involve several stages, including preprocessing of data to prepare datasets, implementation of a priori methods to identify patterns of association, and analysis of results to provide relevant interpretations. Through discussion and conclusion, this study will provide an overview of the implications of research results, recommendations for electronic stores, and limitations that may be encountered.
Tinjauan Terhadap Implementasi Enterprise Architecture: Analisis Perbandingan Studi Kasus Industri Kesehatan Chandra, Carissa; Young, Jian; Salim, Jodie; Onggie, Karen; Kimberly; Andriano, Vinson
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1865

Abstract

This paper discusses the review of the implementation of EA (Enterprise Architecture) in the healthcare industry through a comparative analysis of case studies using two frameworks namely TOGAF ADM and Zachman. The purpose of writing this paper is to identify the strengths and weaknesses of the implementation of each case study, as well as provide an understanding of the use of frameworks in the health industry. The type of analysis in this paper is a qualitative analysis using five papers containing case studies from different health companies which implement the ADM and Zachman TOGAF framework. The results of the analysis show that the two frameworks have different approaches in dealing with certain challenges and needs of the healthcare industry. In addition, there is the use of a matrix, namely the TOGAF framework which aims to provide an overview of the relationships and dependencies between the elements of the two frameworks. After doing the analysis and matrix, it can be concluded that the two frameworks are able to influence EA in the health industry. Thus, making it easier for companies to plan, design, manage, and implement enterprise architecture in an effective and efficient manner.
Prediksi Data Produksi Menggunakan Regresi Linear Sederhana Napitupulu, Segar; Siagian, Novriadi Antonius
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1956

Abstract

PT. XYZ is a company engaged in the cold forging of automotive metal parts specialists. Companies must meet distribution needs and are required to make the right decisions in determining production strategies. To do this, companies need quite a lot of information sources to be analyzed further. Which, companies also face difficulties in obtaining strategic information such as sales levels per period or best-selling products. The analytical method uses simple linear regression in the prediction system because simple linear regression analysis can predict time series. The results of the analysis on the Collar 17x10.5x11 product were obtained from predictions from January to December 2020 with an error rate of 3.78%. The Nut AM M12x14x12 product obtained prediction results from January to December 2020 with a rate of 12.53%. The Collst product 23.6x16.3x3 obtained prediction results from January to December 2020 with a rate of 5.43%. For Nipple products from January to December 2020 with a rate of 12.14%

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