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All Journal Sistemasi: Jurnal Sistem Informasi IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI Techno Nusa Mandiri : Journal of Computing and Information Technology INTI Nusa Mandiri Informatics and Digital Expert (INDEX) Jurnal Responsif : Riset Sains dan Informatika Paradigma NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Media Teknologi dan Informatika Indonesian Community Service Journal of Computer Science (IndoComs)
Fani Nurona Cahya
Universitas Bina Sarana Informatika
Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Environmental Science Social Sciences

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PENGEMBANGAN SISTEM PENGADUAN MASYARAKAT BERBASIS WEB PADA KANTOR DESA BABAKAN Siti Nurajizah; Rifa Nurafifah Syabaniah; Fani Nurona Cahya; Elin Panca Saputra; Tiara Iswanti Sudrajat; Widi Intan Priyanti; Balqis Mulia Septiany
INTI Nusa Mandiri Vol. 21 No. 1 (2026): INTI Periode Agustus 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v21i1.8386

Abstract

The development of information technology encourages village governments to provide public services that are more efficient, transparent, and accessible, including complaint management. In Babakan Village, complaints are still submitted through RT/RW administrators or direct visits to the village office, causing slow responses, difficulties in tracking status, and risks of data loss. This study aims to design and develop SIPEMAS, a web-based public complaint information system that supports online complaint submission, complaint data management, officer responses, and status tracking. The research used the Waterfall software development model consisting of requirement analysis, system design with UML, implementation using PHP with CodeIgniter 3 and MySQL, verification through black-box testing, and maintenance planning. Requirement data were obtained through observation of the existing complaint process, interviews with village officers, and document study. The developed system provides role-based access for citizens and officers, complaint submission with supporting evidence, complaint management, response input, and report recapitulation. Black-box testing on eight main functional scenarios showed valid results for all tested functions (8/8; 100%). A user satisfaction survey showed that 69% of respondents were satisfied with the public complaints system. Therefore, SIPEMAS can support structured complaint management, improve transparency through status tracking, and strengthen the security and documentation of complaint data in Babakan Village.
EVALUASI PENERIMAAN PENGGUNA APLIKASI ADONAI DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Fani Nurona Cahya; Hikmatulloh Hikmatulloh; Rangga Pebrianto; Deny Novianti
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.6077

Abstract

The Adonai application is designed to make it easier to submit insurance and claims for customers by Kosppi employees, but the level of acceptance still needs to be researched. This research uses the Technology Acceptance Model (TAM) to evaluate the influence of perceived usefulness (9.92%) and perceived ease of use (35.04) on application acceptance. Analysis of data from 53 respondents shows that the two variables simultaneously contribute 66.8% to application acceptance. The results of this research support the validation of TAM as a technology evaluation model in the financial services sector and provide practical recommendations to increase the ease of use and benefits of the adonai application.
STUDI KOMPARATIF ALGORITMA C4.5 DAN RANDOM FOREST PADA DIGITALISASI UMKM KABUPATEN TEGAL Gita Iftah Royani; Nur Syifa Amelia; Marlina; Fani Nurona Cahya
INTI Nusa Mandiri Vol. 20 No. 2 (2026): INTI Periode Februari 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i2.7416

Abstract

Digital transformation has become an essential necessity for Micro, Small, and Medium Enterprises (UMKM) to enhance their competitiveness in the era of Industry 4.0. However, in Tegal Regency, the level of digitalization adoption among MSMEs remains varied and tends to be low, thus requiring further investigation. This study aims to compare the performance of the C4.5 and Random Forest algorithms in classifying the level of digitalization of MSMEs in Tegal Regency. This research employs the CRISP-DM methodology, which includes business understanding, data understanding, data preparation, modeling, evaluation, and implementation. Primary data were collected through questionnaires distributed to 100 MSME respondents and processed using RapidMiner. The results indicate that the Random Forest algorithm demonstrates superior performance, achieving an average F1-score of 89.63%, accuracy of 91.43%, while the C4.5 algorithm records an average F1-score of 86.24%, accuracy of 90%. The highest F1-score for both algorithms is observed in the low digitalization category at 95%, which is consistent with the data distribution showing that the majority of MSMEs (59%) fall within this category. This study systematically integrates the CRISP-DM approach from business understanding to model implementation, resulting in a structured data analysis workflow that can be replicated by local governments or future researchers. Another novelty of this study lies in the finding that although Random Forest exhibits better classification performance than C4.5, the majority of MSMEs remain at a low level of digitalization. These results provide practical contributions as a basis for formulating more targeted and sustainable MSME digitalization policies at the local
Co-Authors Agus Salim Aprilliyanti - Bakhtiar Rifai Balqis Mulia Septiany Deny Novianti Dwi yuni Utami Dwiza Riana Gita Iftah Royani Hikmatulloh Hikmatulloh Hikmatulloh Hikmatulloh Indri Ekadewi Irwan Herliawan Marlina Muhamad Abdul Ghani Nila Hardi Normah Normah Nur Syifa Amelia Panca Saputra, Elin Pratiwi Indah Widiastuti Rangga Pebrianto Rifa Nurafifah Syabaniah Siti Nurajizah Siti Nurhasanah Nugraha Sri Hadianti Tiara Iswanti Sudrajat Tika Adilah M Verra Sofica Widi Intan Priyanti