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All Journal JSiI (Jurnal Sistem Informasi) International Journal of Management Science and Information Technology (IJMSIT) Jurnal Algoritma
Abdul Karim Syahputra
Universitas Royal
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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PERAN CRM BAGI LOYALITAS PELANGGAN DI TOKO FASYA PANE Devika Yani Nainggolan; Dewi Maharani; Abdul Karim Syahputra
Jurnal Sistem Informasi Vol. 13 No. 1 (2026)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/6604rp15

Abstract

Perkembangan persaingan usaha yang semakin kompetitif menuntut pelaku bisnis untuk menerapkan strategi yang mampu mempertahankan dan meningkatkan loyalitas pelanggan. Salah satu strategi yang dapat diterapkan adalah Customer Relationship Management (CRM), yang berfokus pada pengelolaan hubungan jangka panjang dengan pelanggan. Penelitian ini bertujuan untuk menganalisis peran CRM dalam meningkatkan loyalitas pelanggan di Toko Fasya Pane. Hasil penelitian menunjukkan bahwa penerapan CRM memberikan kemudahan bagi pelanggan dalam melakukan pembelian barang, meningkatkan kualitas pelayanan, serta menciptakan pengalaman berbelanja yang lebih efektif dan nyaman. Pelayanan yang responsif, komunikasi yang baik, serta perhatian terhadap kebutuhan pelanggan terbukti mampu meningkatkan tingkat kepuasan pelanggan. Peningkatan kepuasan tersebut berdampak positif terhadap terbentuknya loyalitas pelanggan yang berkelanjutan. Dengan demikian, penerapan CRM berperan penting dalam memperkuat hubungan antara Toko Fasya Pane dan pelanggan serta mendukung keberlangsungan usaha secara jangka panjang.
Penerapan K-Means Clustering Kesiapan Siswa SMA Dalam Pemilihan Jurusan Kuliah Rara Revina; Fauriatun Helmiah; Abdul Karim Syahputra
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3323

Abstract

Choosing a college major is an important decision for high school students because it affects their future academic success and career. However, 12th-grade students at Kisaran Regional High School still struggle to determine a major that aligns with their interests and abilities. This study employs a quantitative approach using data mining methods via the K-Means Clustering algorithm to categorize students’ readiness levels in selecting a college major. Research data were obtained from questionnaires completed by 71 students based on five assessment aspects: interest in the major, alignment with academic performance, career information, environmental support, and personal maturity. The research instrument used a 1–5 Likert scale and was tested for reliability using Cronbach’s Alpha, which yielded a value of 0.87, indicating a good level of consistency. The research stages included data selection, transformation of qualitative data into numerical form, determination of the number of clusters (k=3), random initialization of the initial centroids, and calculation of distances using Euclidean Distance, performed iteratively until convergence was achieved. The results of the study indicate that out of 71 students, 23 students (32.39%) fall into the “very ready” category, 28 students (39.44%) into the “fairly ready” category, and 20 students (28.17%) into the “not yet ready” category regarding college major selection.
Analisis Pengelompokan Desa Berdasarkan Indikator Sosial Ekonomi Menggunakan Metode K-Means Sigit Nugraha; Fauriatun Helmiah; Abdul Karim Syahputra
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3378

Abstract

This study aims to cluster villages in Rahuning Subdistrict, Asahan Regency, based on socioeconomic indicators to support targeted development planning. The data used covers ten villages with four main criteria that have been normalized into numerical values. The method used is K-Means Clustering with three clusters (K=3). The analysis process includes determining the initial centroids, calculating distances using Euclidean Distance, and iterating until convergence is achieved. The results of the study show the formation of three groups: the high cluster, consisting of Rahuning Village, Rahuning III Village, Perbaungan Village, and Aek Songsongan Village; the medium cluster, consisting of Rahuning I Village, Batu Anam Village, Gunung Melayu Village, and Sei Piring Village; and the low cluster, consisting of Rahuning II Village and Air Batu Village. An evaluation using the Silhouette Score method yielded a value of 0.57, indicating that the quality of the clustering falls into the “fairly good” category with relatively clear separation between clusters. This study contributes a data-driven approach to identifying socioeconomic disparities among village areas, thereby serving as a foundation for local governments to formulate more effective, targeted, and equitable development policies.
Implementation of SCM System in Distribution and Stock at Ozan Glass Store Mufti Hafiz; Nurwati Nurwati; Abdul Karim Syahputra
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.v6i1.7351

Abstract

The increasingly rapid development of the business world requires business actors to be able to manage their operational activities more effectively and efficiently. In this study, problems that often occur at the Ozan Glass Shop, such as the process of managing product and inventory data, which is still carried out simply, so that there is often a discrepancy between stock data and actual conditions. The unintegrated inventory monitoring process also makes it difficult to control stock levels and has the potential to cause shortages or stockpiles of goods. These conditions cause the available information to be less than optimal as a basis for decision making, so that the implementation of a Supply Chain Management (SCM) system is needed to improve the effectiveness of inventory management and product distribution. In addition, through the main discussion carried out in this study aims to be able to understand the process of product distribution from suppliers to the Ozan Glass Shop and its obstacles, determine the implemented stock management and monitoring system and analyze distribution and inventory to improve operational efficiency and reduce problems that occur in the store's business activities. Based on the overall description in this study, the author can conclude that the implementation of the Supply Chain Management (SCM) system at the Ozan Glass Shop has succeeded in improving the effectiveness of inventory management and product distribution. Before the system was implemented, operational processes were still carried out manually, resulting in frequent stock data discrepancies, delays in information, recording errors and difficulties in monitoring order status and distribution. This research resulted in a web-based SCM system capable of integrating stock management, orders, procurement, and distribution within a single platform. Implementation results show that the system can provide real-time inventory information, improve data accuracy, accelerate administrative processes, and facilitate product distribution monitoring. Furthermore, the system is capable of generating more structured and informative reports, supporting faster and more accurate decision-making. The system's implementation also resulted in increased operational efficiency, reduced recording errors, and improved customer service quality.
Co-Authors Devika Yani Nainggolan Dewi Maharani Fauriatun Helmiah Mufti Hafiz Nurwati Nurwati Rara Revina Sigit Nugraha