cover
Contact Name
Alex Rikki
Contact Email
alexrikisinaga@gmail.com
Phone
+6282275847123
Journal Mail Official
login.jurnal@gmail.com
Editorial Address
Komplek New Pratama Asri Blok C, No.2, Deliserdang, Sumatera Utara, Indonesia
Location
Unknown,
Unknown
INDONESIA
Login : Jurnal Teknologi Komputer
Published by SEAN INSTITUTE
ISSN : 23029692     EISSN : 27238695     DOI : -
Core Subject : Science,
Is a journal managed by the SEAN Institute, this journal discusses science in the field of Computer Science, Appropriate Computer Technology, Information System Design, as a forum for pouring research results both conceptually and technically related to information science. Journal Login is published twice a year, namely in June and December. The incoming article will be accepted by the editor and then forwarded to the section editor and forwarded again to the reviewer for review using a double-blind peer review. The scope of the journal Login as follows: [Domain-Specific Frameworks and Applications]: IT Management dan IT Governance, e-Government, e-Healthcare, e-Learning, e-Manufacturing, e-Commerce, ERP dan Supply Chain Management, Business Process Management. [Smart Systems]: Smart City, Smart Cloud Technology, Smart Appliances & Wearable Computing Devices, Smart Sensor Networks, Information Infrastructure for Smart Living Spaces, Intelligent Transportation Systems. [Models, Methods and Techniques]: Conceptual Modeling, Languages, and design, Software Engineering, Information-centric Networking, Human-Computer Interaction, Media, Game and Mobile Technologies, Information Retrieval, Information Security, Image Processing and Pattern Recognition, Natural Language Processing.
Articles 42 Documents
Design of a Web-Based Student Violation Monitoring System Integrated with Artificial Intelligence at Universitas Pamulang Intra Sepriansa; Farizi Ilham; Salsa Nabila
Login : Jurnal Teknologi Komputer Vol. 20 No. 1 (2026): Login: Jurnal Teknologi Komputer
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/login.v20i1.125

Abstract

The management of student violation records in higher education requires a system that is fast, structured, well-documented, and accessible to authorized stakeholders. At Universitas Pamulang, the process of recording and monitoring student violations still has the potential to be carried out manually or through non-integrated mechanisms. This condition may lead to several problems, including delays in reporting, difficulty in tracing violation histories, limited supporting evidence, and weak coordination among parties involved in case handling. This study aims to design a web-based student violation monitoring system integrated with artificial intelligence to support the reporting, management, identification, and monitoring of student violations more effectively. The research method includes observation, interviews, literature study, system requirement analysis, and role-based system design. The proposed system provides several main features, including violation reporting, student data management, visual evidence upload, CCTV monitoring, AI-supported identification of suspected violators, violation history tracking, student response management, and monitoring dashboards for administrators and heads of study programs. The result of this study is a system design that supports the digitalization of student discipline monitoring through centralized data recording, faster reporting workflows, improved case traceability, and better documentation of supporting evidence. Artificial intelligence is positioned as a supporting component in the identification process, while final verification remains under the authority of human administrators to ensure fairness and accountability. Therefore, the proposed system is expected to improve the effectiveness, transparency, and accuracy of student violation management in higher education institutions.
Web-Based Sales and Inventory Information System for Enna Coffee MSME Using an Iterative Approach Putrienna Maduma Nababan; Novriadi Antonius Siagian; Zakarias Situmorang; Desinta Purba
Login : Jurnal Teknologi Komputer Vol. 20 No. 1 (2026): Login: Jurnal Teknologi Komputer
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/login.v20i1.126

Abstract

Enna Coffee MSME still records sales and inventory manually, resulting in frequent data inaccuracies, difficulty tracking transactions, and delays in preparing sales reports. This condition also hinders the provision of integrated data for industry reporting needs to the National Industrial Information System (SIINas). This study aims to design and build a Web-Based Sales and Inventory Information System at Enna Coffee MSME to support more effective sales and inventory data management. The development method used is an iterative method that includes the stages of needs analysis, design, implementation, testing, and evaluation that are carried out repeatedly until the system meets user needs. Data collection was carried out through observation, interviews, and document studies, while data analysis used qualitative descriptive methods. The results of the study indicate that the system was successfully built according to the operational needs of Enna Coffee MSME. The system is able to assist the process of managing sales and inventory data in a structured manner, reduce the risk of recording errors, and produce sales reports and raw material reports that can be used as a source of business information and the basis for compiling industry reporting data to SIINas. Based on the research results, the developed system successfully supports the management of sales and inventory data at Enna Coffee MSMEs in a more structured manner, reduces the risk of recording errors, and provides the information needed to support business operations and industry reporting.