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All Journal Modem : Jurnal Informatika dan Sains Teknologi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Sihang Gregorius Bali Mema
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Computer Science & IT

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Penerapan Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Smart : Studi Kasus: Desa Padaeweta Kecamatan Wewewa Timur Apliana Kartini Sangga; Adelbertus Umbu Janga; Sihang Gregorius Bali Mema
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 5 (2025): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i5.1100

Abstract

The Family Welfare Empowerment (PKK) is a community organization that plays a vital role in improving family welfare in Indonesia. Through various programs, the PKK contributes to family empowerment, particularly in education, health, and economics. However, many PKK activities are still conducted manually, including recording and managing member data and activities. This creates several challenges, such as difficulty in archiving, time-consuming information searches, and difficulties in preparing accurate and timely reports. This research aims to design and develop a web-based information system that can simplify member data management, activity recording, attendance management, and report generation more quickly, efficiently, and accurately. This system will be designed using an object-oriented approach, involving several stages, starting from needs analysis, system design, implementation, and system testing. This information system is expected to improve service efficiency, facilitate PKK administrators in monitoring member activity, and support a more precise and weighted data-based decision-making process. Another advantage is that this system will also facilitate the PKK in producing faster, more comprehensive, and more structured activity reports, thereby increasing organizational transparency and accountability. Therefore, this web-based information system is expected to be a solution to improve the PKK's performance in carrying out its function of empowering family welfare.
Analisis dan Evaluasi Kredit Macet Anggota Koperasi pada Koperasi Simpan Pinjam Cu Mera Ndi Ate Marjelin Putri Ndaparoka; Stefanus D.I. Mau; Sihang Gregorius Bali Mema
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.771

Abstract

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.
Co-Authors Adelbertus Umbu Janga Apliana Kartini Sangga Marjelin Putri Ndaparoka Stefanus D.I. Mau