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Jurnal Informatika Progres
Published by STMIK PROFESIONAL MAKASSAR
ISSN : 20868359     EISSN : 2797622X     DOI : https://doi.org/10.56708/progres.v14i1.300
Core Subject : Science,
Computer Science & IT
Jurnal Informatika Progres merupakan jurnal Blind Peer-Review yang dikelola secara profesional dan diterbitkan oleh P3M STMIK Profesional Makassar dalam upaya membantu peneliti, akademisi, dan praktisi untuk mempublikasikan hasil penelitiannya. Jurnal ini didedikasikan untuk publikasi hasil penelitian dalam bidang yang memuat artikel tentang Teknologi, Komunikasi, Informasi dan Komputer. Terbit dua kali setiap tahun, 2 nomor 1 volume, yaitu pada bulan April dan September. Semua publikasi di Jurnal Informatika Progres ini bersifat akses terbuka yang memungkinkan artikel tersedia secara online tanpa berlangganan apapun.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 211 Documents
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SEGMENTASI NASABAH KREDIT BANK SULSELBAR BERDASARKAN INSTANSI DAN STATUS KEPEGAWAIAN Aidil Syamsul; Gilang Ghiakhuzuki Ramsidar; Dikwan Moeis; Asri Yadi
PROGRESS Vol 18 No 2 (2026): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v18i2.479

Abstract

Proper management of customer registration data forms the primary foundation for a banking credit division in mapping market potential. This study aims to identify the characteristics and distribution patterns of credit customers at Bank Sulselbar Gowa Branch based on their originating agency and employment status. Using a quantitative descriptive approach, a total of 271 secondary registration data entries were processed through data cleaning, preprocessing, and cross-tabulation stages. The results show that customers with active status dominate the proportion of credit applicants (53.14%), followed by PPPK (21.03%). Based on originating agencies, the Local Government (28.78%) and Elementary Schools (27.68%) are the largest contributors. Cross-tabulation reveals that applicants from the education sector dominate the certification category. This study demonstrates that the efficiency of medium-scale credit administrative data management can be achieved through standardized data processing without relying on complex systems.

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