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The Role of E-Money in Sustainable Smart City Development in Bogor City Area Gustian Rama Putra; Wahyu Sardjono; Oktavian Nursetiaji; Agita Tiara Putri; Asep Saepulrohman; I Wayan Sriyasa
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5674

Abstract

In the current era of society 5.0, especially in industry 4.0, the use of information systems is very important where in this era the community is expected to help the development of smart cities. In this era, people always carry out activities with technology and digitalization, one of which is how to transact that transforms electronically with technology. Currently, e-money is considered to have its own role in the sustainability of community activities, especially in the city of Bogor, so that if the role of e-money can be utilized, a positive value can be generated for the sustainability of smart city development. To assess the success of the role of e-money, this research instrument was built using the DeLone and McLean methods in building a research model that aims to support the development of smart cities with aspects of indicators such as information quality, system quality, service quality, user satisfaction level, utilizing and net benefit. The research method used in this study is factor analysis to process the data obtained from the questionnaire. The Alpha Cronbach value in this study has a value of 0.971 or 97.1%, so it can be concluded that the positive influence of e-money is very large to support the development of smart cities in Bogor City. This research is expected to provide information related to the sustainable development of smart cities in Bogor City.
OPTIMIZATION IN ZAKAT MANAGEMENT THROUGH THE DEVELOPMENT OF A CHATBOT-BASED MOBILE APPLICATION Fajar Delli Wihatiko; Gustian Rama Putra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7402

Abstract

The growing awareness of zakat, infaq, and sadaqah (ZIS) in Indonesia calls for intelligent and transparent management systems. This study proposes a chatbot-based mobile application integrated with the SECI knowledge management model to optimize ZIS management and distribution. Using the waterfall software development model, the research includes requirement analysis, system design, chatbot implementation, and validation. The decision-tree-based chatbot enables interactive and personalized guidance for muzakki, while the SECI framework ensures structured knowledge sharing among zakat institutions. Functional and compatibility testing show that the system operates reliably on Android version 10 and above, with intent classification accuracy reaching 92 percent. The findings demonstrate that combining intelligent interaction and structured knowledge management improves transparency, operational efficiency, and institutional learning in digital zakat systems. The proposed framework provides both theoretical and practical contributions to advancing socio-economic management through mobile technology
Development of the Range of Value (ROV) Method Based on Dynamic Weighting for Decision Support Systems Erlin Windia Ambarsari; Muhammad Waqas Arshad; Gustian Rama Putra; Yuwan Jumaryadi; Febryo Ponco Sulistyo
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 3 (2027): July 2027
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i3.12

Abstract

Decision-making in complex environments requires an evaluation framework capable of integrating multiple criteria with different levels of importance and performance. This study proposes Dynamic-ROV, a modified Rank Order Value approach designed to evaluate alternatives through data-driven criterion weighting and utility-based assessment. The proposed procedure consists of decision matrix normalization, standard deviation-based criterion weighting, best and worst utility evaluation, final utility calculation, and ranking. The approach was applied to the selection of nine manager candidates using seven evaluation criteria. Its robustness was assessed through 28 sensitivity scenarios involving positive and negative changes in individual criterion weights, while its ranking consistency was further examined against SAW, MOORA, GRA, and SMART. The results show that Candidate M-02 achieves the highest final utility value of 0.3862 and obtains the first rank, whereas Candidate M-08 records the lowest utility value of 0.1179 and ranks ninth. The sensitivity analysis indicates that the principal ranking structure remains stable across all tested scenarios, with M-02 consistently occupying the first position and M-08 remaining in the last position. Comparative evaluation also demonstrates that Dynamic-ROV produces ranking patterns that are broadly consistent with the established MCDM methods. These findings indicate that Dynamic-ROV provides a reliable and stable framework for multi-criteria evaluation while offering a data-oriented mechanism for determining criterion importance and assessing alternative performance. The proposed approach can therefore serve as an alternative decision-support method for selection problems in organizational settings.