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All Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal International Journal of Management Science and Information Technology (IJMSIT)
Cecep Maulana
Universitas Royal
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Application of the KNN Algorithm to Assess Customer Satisfaction at A2 Collection Sei Silau Timur Lutfi Anniswa Sitorus; Jeperson Hutahaean; Cecep Maulana
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6813

Abstract

The development of information technology and data mining in recent years has changed the way retail businesses, including small and medium-scale fashion businesses, collect, analyze, and utilize customer data to improve services and marketing strategies. In addition, through the main discussion carried out in this study, it aims to be able to analyze the factors that influence the level of customer satisfaction at Amel Fashion Prapat Janji based on the attributes of product quality, price, comfort of use, and service. In addition, this study develops and applies the K-Nearest Neighbor (K-NN) algorithm to classify the level of customer satisfaction more objectively, measurably and data-based. And in addition, for the Research Method section used in this study, a qualitative approach was chosen because the focus of this study is to explore the meaning, perception, and direct experience of business actors in the marketing and distribution process. So based on that, this study shows the results that the application of the K-Nearest Neighbor (KNN) algorithm in the customer satisfaction classification system at A2 Collection Sei Silau Timur is able to provide an effective solution in managing and analyzing customer evaluation data. This website-based system has succeeded in changing the assessment process that was previously carried out manually to be more structured, systematic, and easily accessible. Based on the system's calculations, the resulting distance values, such as 2.354, categorized as "Satisfied" and 2.325, categorized as "Dissatisfied," indicate that the proximity of attribute values significantly influences the classification results. Although the difference in distance values is relatively small, the system is still able to determine the class based on the dominance of the nearest neighbor data.
Pengenalan Keamanan Data Pribadi di Era Digital Bagi Masyarakat Desa Silo Lama Sahren; Riki Andri Yusda; Cecep Maulana; Nurhaisyah
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 1 (2026): Januari 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i1.4340

Abstract

Abstract: The development of digital technology in Indonesia has penetrated even rural areas, but it is not accompanied by an adequate understanding of personal data security. Rural communities tend to be vulnerable to cyber threats due to limited digital literacy. The purpose of this Community Service (PkM) activity is to increase awareness and knowledge of the community of Silo Lama Village, Silau Laut District, about the importance of personal data security in the digital era. The implementation method includes outreach, education, and practical training for the community using a participatory approach. The material presented includes the definition of personal data, types of cyber threats, how to protect personal information, and an introduction to the Personal Data Protection Law. The activity was attended by 30 participants consisting of village officials, community leaders, and the general public. The results of the activity showed a significant increase in participants' understanding of personal data security, from an average pre-test score of 45% to 82% in the post-test. Participants were also able to identify various forms of online fraud and implement data protection measures. This program has made a positive contribution to improving the digital literacy of rural communities and is expected to prevent losses due to cybercrime in the future. Keywords: cyber; data; digital; security; village Abstrak: Perkembangan teknologi digital di Indonesia telah merambah hingga ke wilayah pedesaan, namun tidak diimbangi dengan pemahaman yang memadai tentang keamanan data pribadi. Masyarakat desa cenderung rentan terhadap ancaman siber karena keterbatasan literasi digital. Tujuan dari kegiatan Pengabdian kepada Masyarakat (PkM) ini adalah untuk meningkatkan kesadaran dan pengetahuan masyarakat Desa Silo Lama, Kecamatan Silau Laut tentang pentingnya menjaga keamanan data privat. Metode kegiatan meliputi sosialisasi, edukasi, dan pelatihan praktis kepada masyarakat dengan pendekatan partisipatif. Materi yang disampaikan mencakup pengertian data pribadi, jenis-jenis ancaman siber, cara melindungi informasi pribadi, serta pengenalan UU Perlindungan Data Pribadi. Kegiatan dihadiri dengan 30 orang meliputi unsur pejabat desa, tokoh warga, dan warga umum. Hasil kegiatan memaparkan peningkatan pemahaman warga terkait keamanan data pribadi, dari rerata skor pre-test 45% menjadi 82% pada post-test. Peserta juga mampu mengidentifikasi berbagai bentuk penipuan online dan menerapkan langkah-langkah perlindungan data. Program ini memberikan kontribusi positif dalam upaya meningkatkan literasi digital masyarakat desa dan diharapkan dapat mencegah kerugian akibat kejahatan siber di masa mendatang Kata kunci: data; digital; desa; keamanan; siber
Co-Authors Jeperson Hutahaean Lutfi Anniswa Sitorus Nurhaisyah Riki Andri Yusda Sahren