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All Journal Jurnal Teknik Mesin, Industri, Elektro dan Informatika Modem : Jurnal Informatika dan Sains Teknologi
Marjelin Putri Ndaparoka
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Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Analisis Pengaruh Pemasaran Online Terhadap Keputusan Pembeli Produk Metodius Boro Tulit; Marlince Kadobo; Marjelin Putri Ndaparoka; Ningsiana Dappa; Adrianus Soni Wainigha; Petrus Gilfret Putra Bora
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 2 (2024): Juni : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i2.3800

Abstract

Micro, Small and Medium Enterprises using internet media for online marketing to gain satisfactory market share. Currently, the Internet is very easily accessed by everyone around the world, including UMKM’s businessmen using the Internet as giving and sharing the information for customers about their products offered online. This paper aims to determine how the Effect of Online Marketing Strategy to increase the profit income of SMEs. Respondents in this research are the Owners / Marketing Managers / staff of SMEs in Sumba Barat Daya. The results of this study seeks to answer the hypothesis. H1 is accepted whereas Ho is rejected, stating that online marketing strategy is a positive influence on increasing the Profit Income of SMEs. Keyword: online marketing, strategy, profit, internet, SMEs.
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 Adrianus Soni Wainigha Marlince Kadobo Metodius Boro Tulit Ningsiana Dappa Petrus Gilfret Putra Bora Sihang Gregorius Bali Mema Stefanus D.I. Mau