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All Journal Jurnal Mantik Brilliance: Research of Artificial Intelligence
Khairina Eka Setyaputri
Universitas Siber Muhammadiyah, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Mathematics Other

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Analysis of the article weight product method and weight sum method on decision support systems: Systematic Review Khairina Eka Setyaputri; Wicaksono Yuli Sulistyo
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3843

Abstract

A decision support system (DSS) is a problem processing system between two components consisting of one or more general problem manipulation capabilities required in decision making. Decision making is basically a form of selecting from various alternative actions. DSS has various methods of solving problems. In this literature review, research focuses on the use of the Weighted Product (WP) and Weighted Sum Model (WSM) methods in decision-making systems. Systematic reviews are limited to research in the form of articles that have been reviewed and published in journals. Eight articles were obtained to be reviewed in this study. The results of the literature show that the two methods have different decision outcomes. Another result is that the WP method has better decision outcomes than WSM in solving problems
Evaluation of Environmental Fee Management Information System Using User Acceptance Test Indra Gunawan; Khairina Eka Setyaputri
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7960

Abstract

The management of environmental fees in residential areas requires an information system that is capable of supporting accurate transaction recording and transparent information delivery. Previously, Sunderland Jambi Housing Estate managed environmental fee administration using a manual system, which potentially caused recording errors, data inconsistency, and delays in information dissemination to residents. These limitations reduced the effectiveness and transparency of financial management processes. This study aims to evaluate the implementation of a web-based Environmental Fee Management Information System (SIM-IPL) at Sunderland Jambi Housing Estate. The research method applied is descriptive with a case study approach. Data were collected through observation, interviews, and questionnaires distributed to 20 active system users. System testing was conducted using Black Box Testing and User Acceptance Test (UAT) methods. The results of Black Box Testing indicate that all main system functionalities, including user authentication, transaction processing, data management, and financial reporting, operate according to the specified functional requirements. Furthermore, the UAT results show an overall average score of 4.88 or 97.6%, which is categorized as excellent. These results demonstrate that SIM-IPL is easy to use, improves financial information transparency, and provides a high level of user satisfaction. Therefore, it can be concluded that the web-based SIM-IPL is feasible and effective for supporting environmental fee management at Sunderland Jambi Housing Estate and can serve as a reference for similar residential financial management systems.
The role of management information systems in organizational decision making: A Review of the Literature Khairina Eka Setyaputri; Muhamad Rosidin
Jurnal Mantik Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v9i4.7051

Abstract

This study explores the role of Management Information Systems (MIS) in enhancing the quality of organizational decision making through a systematic literature review of publications from the 2021–2025 period. A narrative literature review method was employed by analyzing 17 empirical studies retrieved from international academic databases, including Scopus, Google Scholar, and ScienceDirect. Thematic analysis identified three fundamental dimensions influencing the effectiveness of information systems in supporting organizational decision making: the technological dimension, characterized by the integration of artificial intelligence and machine learning; the organizational dimension, involving structural alignment and data driven culture; and the individual dimension, related to user competencies and algorithm aversion. The findings reveal that the implementation of Management Information Systems significantly improves decision accuracy by up to 82%, timeliness by 88%, and operational efficiency by 84%, with usage intensity, user competence, data quality, and system integration collectively explaining 58% of the variance in decision quality. Nevertheless, system effectiveness is constrained by inadequate user training, poor data quality, legacy system integration issues, low trust in algorithmic outputs, and organizational resistance to change. This study confirms that the benefits of Management Information Systems are not technologically deterministic; rather, they depend on a socio technical approach that integrates strategic alignment, digital capability investment, the development of a supportive organizational culture, and robust data governance to transform data into actionable business intelligence within strategic, tactical, and operational decision making contexts
Co-Authors Indra Gunawan Muhamad Rosidin Wicaksono Yuli Sulistyo