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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Fortech : Journal of Information Technology
Hikmatul Ilmi
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Computer Science & IT Other

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Pengaruh Komitmen Organisasi Terhadap Kinerja Karyawan pada PT. KAF Media Nusantara Cabang Kab. Bangkalan Fitri Amelia; Hikmatul Ilmi; Qurrota A’yun; Iriani Ismail
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10, Nomor 02 Juni 2025 publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

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Abstract

This study focuses on determining the effect of organizational commitment on employee performance at PT. KAF Media Nusantara, Bangkalan Regency Branch. In this study, Organizational Commitment is divided into 3 parts: Affective Organizational Commitment, Sustainable Organizational Commitment and Normative Organizational Commitment. This study uses qualitative. Data were collected through in-depth interviews. This study aims to explore that organizational culture and internal communication are factors in how factors in an organization can affect individual performance in the workplace. The results of the study indicate that organizational commitment has a positive effect on employee performance. The findings of this study can contribute to the development of human resources, especially at PT. KAF Media Nusantara, Bangkalan Regency Branch.
PENERAPAN ALGORITMA K-MEANS CLUSTERING PADA ANALISIS POLA PENDAFTARAN CALON JAMAAH HAJI DI KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI JAMBI Hikmatul Ilmi; Novhirtamely Kahar
FORTECH (Journal of Information Technology) Vol 10 No 1 (2026): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/ewcdte47

Abstract

This study aims to analyze the registration patterns of prospective hajj pilgrims at the Regional Office of the Ministry of Religious Affairs of Jambi Province using the K-Means Clustering algorithm. The main issue addressed is the high volume of hajj applicants each year without adequate pattern analysis, which complicates quota planning and pilgrim guidance. The dataset includes the number of hajj applicants per regency/city from 2018 to 2024, with attributes such as applicant count, age, and gender. The clustering process was carried out using K-Means with k = 3, resulting in three main clusters: high, medium, and low registration rates. The results show that Batanghari Regency and Jambi City belong to the high cluster, while Tebo and Sarolangun are in the low cluster. These findings provide better insights for policymakers in managing hajj quotas and improving outreach strategies.
Co-Authors Fitri Amelia Iriani Ismail Novhirtamely Kahar QURROTA A’YUN