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All Journal Speed - Sentra Penelitian Engineering dan Edukasi Fountain of Informatics Journal RESEARCH : Computer, Information System & Technology Management Brilliance: Research of Artificial Intelligence Formosa Journal of Computer and Information Science Prosiding Seminar Nasional Teknologi Informasi dan Bisnis OKTAL : Jurnal Ilmu Komputer dan Sains Bhumiputra: Jurnal Penelitian dan Pengabdian Masyarakat Global Proceeding of The International Conference on Electrical Engineering and Informatics
Mei Lenawati
Universitas PGRI Madiun
Religion Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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Evaluasi Kepuasan Pengguna Website mcm.madiunkota.go.id Dalam Updating Data Kemiskinan Menggunakan Analisis SWOT Hazel Lahfahukama Masruri; Mei Lenawati
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 04 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This study aims to evaluate user satisfaction with the website mcm.madiunkota.go.id as a tool for updating poverty data in Madiun City. The website is utilized by the Regional Development Planning Agency (BAPPEDA) as a data management platform to support regional development planning. This research applies a quantitative descriptive approach with data collection methods including observation, interviews, and questionnaires using a Likert scale. The results indicate that users are generally satisfied with the system, particularly in terms of ease of use and feature completeness. However, several issues were identified, such as system errors, data loss after input processes, and limited user capability in operating the system. Based on the SWOT analysis, the system has strong potential for development, but requires improvements in system reliability, data security, and user capacity. This study is expected to provide recommendations for developing more effective, efficient, and sustainable web-based information systems in managing poverty data.
Pemanfaatan TikTok sebagai Media Informasi Digital pada DPMPTSP Kabupaten Madiun Muha Nanda Sho'im; Sofyan Triono; Mei Lenawati
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 04 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information and communication technology has encouraged government agencies to adapt in conveying public information, one of which is through the use of social media. TikTok as a short video-based platform is considered effective in attracting public attention and disseminating information quickly, interactively, and easily accessible. The purpose of this internship is to determine the strategy for utilizing the TikTok account of the Madiun Regency DPMPTSP in conveying public service information, increasing interaction with the community, and supporting transparency and openness of information. The method used is the SUS (System Usability Scale) method by distributing questionnaires to DPMPTSP Madiun Regency employees and students of PGRI Madiun University, as well as documentation of social media management activities within the agency. The results obtained indicate that the use of TikTok can increase the reach of information related to licensing services, investments, and DPMPTSP activity programs.
Enhancing Business Model Validation Using Artificial Intelligence: Insights from Student Business Model Canvas Analysis Dimas Setiawan; Ridho Pamungkas; Mei Lenawati; Noordin Asnawi
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16564

Abstract

This study aims to identify common weaknesses in students’ Business Model Canvas (BMC) and examine the role of Artificial Intelligence (AI) in improving early-stage business validation. A qualitative descriptive approach was employed using aggregated and anonymized data from 30 student business models. Data were analyzed using thematic coding to identify recurring patterns. The findings reveal that 70% of students struggle with unclear value propositions, 63% define overly broad customer segments, and 57% lack structured revenue models. AI-assisted analysis improves clarity, focus, and logical consistency of business models. This study proposes an AI-BMC conceptual framework as a decision-support approach for entrepreneurship learning. The findings contribute to bridging intuitive business ideation with AI-assisted validation.
Co-Authors - STMIK AMIKOM Yogyakarta, Amadyah Amborowati Andria Andria Asnawi, Noordin Bayu Saputra Dimas Setiawan Eka Resty Novieta Sari Elipatma Elipatma Hazel Lahfahukama Masruri Kharismawati, Wenny Luciana Dian Anggraini Muha Nanda Sho'im Noordin Asnawi Ridho Pamungkas Ridho Pamungkas, Ridho Sofyan Triono Susilo Nugroho, Erwin Whisnu Rindra Kurniawan