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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Publikasi Ilmu Komputer dan Multimedia
Chandra Wisnu Nugroho
Unknown Affiliation
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

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Pendampingan UMKM dalam Pemasaran Online Melalui Media Sosial di Kotamobagu: Pengabdian Maramis, Leonard; Varly Carnavale Wullur; Chandra Wisnu Nugroho; Ridwan Potabuga; Firmansyah Lanjani
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.2903

Abstract

This community service program aimed to assist Micro, Small, and Medium Enterprises (MSMEs) in Kotamobagu in utilizing social media as a tool for product marketing. The background of this activity lies in the fact that many MSMEs still rely on conventional marketing methods, which limit their market reach. The implementation methods included socialization, training/workshops, technical assistance, and monitoring and evaluation. A total of 20 MSME participants from various business sectors were actively involved in this program. The results indicated an increase in participants’ knowledge of digital marketing, improved skills in creating business accounts and promotional content on social media, and an expansion of market reach through digital platforms. In conclusion, this program successfully enhanced the skills and competitiveness of MSMEs in facing the challenges of the digital economy era.
Implementasi Algoritma Naive Bayes untuk Sistem Pendukung Keputusan Penerima Bantuan Pendidikan Chandra Wisnu Nugroho; Sigrid Tamriesfatno; Sulkifli Sulkifli
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 1 (2025): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i1.4276

Abstract

Education plays a crucial role in shaping excellent human resources, which are the main foundation of national development. However, economic limitations remain a significant barrier for some students in accessing proper education. To address this issue, the government has implemented various educational assistance programs. SMKN 9 Bulukumba, as one of the vocational high schools, also faces challenges in selecting scholarship recipients efficiently, objectively, and transparently. This study aims to develop a decision support system based on the Naive Bayes Classifier algorithm to assist the selection process of educational aid recipients. Naive Bayes is a simple yet effective probabilistic classification algorithm that performs well on small to medium-sized datasets. This research employs a data mining approach to build a classification model based on several attributes, such as type of residence, means of transportation, and parents’ income. The results of testing on 10 student data samples showed that 6 students were classified as eligible for assistance, while 4 were not. The dominant factors determining eligibility were the low income of the father and the absence of income from the mother. Interestingly, all students using public transportation were not classified as aid recipients, indicating that transportation is not always a primary indicator of eligibility. Keywords: Education, Data Mining, Naive Bayes, Classification
Co-Authors Firmansyah Lanjani Leonard Maramis Ridwan Potabuga Sulkifli Sulkifli Tamriesfatno, Sigrid Varly Carnavale Wullur