cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Robbi Rahim
Contact Email
usurobbi85@zoho.com
Phone
+62818639363
Journal Mail Official
saga@mediadigitalpublikasi.com
Editorial Address
JL. Kenari 18 No. 421 Desa/Kelurahan. Kenangan, Kec. Percut Sei Tuan, Kab. Deli Serdang, Kab. Deli Serdang, Provinsi Sumatera Utara, 20226, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
SAGA: Journal of Technology and Information Systems
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 29858933     DOI : https://doi.org/10.58905/saga
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science
SAGA: Journal of Technology and Information Systems, a premier peer-reviewed academic international journal dedicated to the advancement of knowledge and research in the field of technology and information systems. Our journal is committed to publishing high-quality, original research that explores the intersection of technology and information systems in the contemporary world. We publish four issues (February, May, August, November) per year and welcome submissions from researchers at all career levels and from any geographic location. Our scope is divided into two sections, each containing twenty areas of focus Technology and Information Systems We are committed to promoting diversity and inclusivity in our editorial process and encourage submissions from underrepresented groups. Our rigorous peer review process ensures that only the most impactful and rigorous research is published in our journal.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 72 Documents
 4   5   6   7   8 
Raw Material Storage Information System Case Study: CV.Bplast Jaya Aldo Ardiansyah; Arif Senja Fitrani; Ade Eviyanti; Novia Ariyanti
SAGA: Journal of Technology and Information System Vol. 4 No. 2 (2026): May 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v4i2.710

Abstract

This study was motivated by the limitations of the raw material inventory management system in companies, which is still carried out manually. The lack of understanding and knowledge of information technology among employees is also a factor hindering the implementation of a more efficient system. This condition causes various obstacles, such as delays in recording, inaccurate data, and difficulties in real-time stock tracking. The purpose of this study is to assist companies in developing a more effective and efficient raw material storage system through the use of web-based information technology. This study uses a qualitative approach with data collection methods in the form of observation, interviews, and documentation to obtain information related to system requirements and problems faced by companies. Based on the results of the research, a web-based raw material storage information system has been successfully designed and developed that is capable of presenting real-time inventory data, recording the entry and exit of raw materials more accurately, and providing search and reporting features that facilitate decision-making by management. The implementation of this system has shown an increase in data recording efficiency, a reduction in input errors, and ease in tracking raw material stocks. Thus, the developed system can be the right solution to overcome the raw material management problems that the company has been facing.
Model Analysis of the 2019 Election Participation Level Against Demographics in Pamekasan Regency Using the Naive Bayes Method Maulana Habib Firmansyah; Arif Senja Fitrani; Azmuri Wahyu Azinar; Suhendro Busono
SAGA: Journal of Technology and Information System Vol. 4 No. 2 (2026): May 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v4i2.738

Abstract

This study aims to analyze the level of election participation in 2019 in Pamekasan Regency based on demographic data using the Naive Bayes classification method. The data used consists of 189 instances and 208 predictor attributes obtained from the publication of the Central Statistics Agency (BPS). The analysis process involves the stages of preprocessing, feature selection, and model evaluation. The test results show a model accuracy of 66%, with the highest f1-score value in the high participation class. Further analysis also shows that most sub-districts and villages in Pamekasan have a high level of participation. In addition, a very strong correlation was found between demographic attributes that have the potential to be important predictors of voter involvement. These findings provide an initial overview to understand the factors that influence public participation in elections.

Page 8 of 8 | Total Record : 72

 4   5   6   7   8 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2026): May 2026 Vol. 4 No. 1 (2026): February 2026 Vol. 3 No. 4 (2025): November 2025 Vol. 3 No. 3 (2025): August 2025 Vol. 3 No. 2 (2025): May 2025 Vol. 3 No. 1 (2025): February 2025 Vol. 2 No. 4 (2024): November 2024 Vol. 2 No. 3 (2024): August 2024 Vol. 2 No. 2 (2024): May 2024 Vol. 2 No. 1 (2024): February 2024 Vol. 1 No. 4 (2023): November 2023 Vol. 1 No. 3 (2023): August 2023 Vol. 1 No. 2 (2023): May 2023 Vol. 1 No. 1 (2023): February 2023 More Issue