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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Transformasi: Jurnal Pengabdian Masyarakat JOIN (Jurnal Online Informatika) Prima: Jurnal Pendidikan Matematika JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) International Journal of Educational Management and Innovation (IJEMI) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal Abdimas Sang Buana Indonesian Journal of Statistics and Its Applications
Reny Rian Marliana
Universitas Islam Bandung, Bandung, Indonesia
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pengelompokan Desa di Jawa Barat Berdasarkan Indeks Desa Membangun (IDM) Menggunakan ALgoritma Clustering Large Application (CLARA) Hendriawan, Muhammad Rifqi; Marliana, Reny Rian
Jambura Journal of Probability and Statistics Vol 6, No 1 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i1.27450

Abstract

The Village Development Index (IDM) is an important instrument for measuring village planning and development, supporting the government in dealing with underdeveloped villages and advanced villages. IDM assesses development through three indexes, namely the Economic Resilience Index (IKE), Social Resilience Index (IKS), and Environmental Resilience Index (IKL). The aim of the study is to establish clusters of villages in West Java Province using the Clustering Large Application (CLARA) algorithm. This clustering was used to facilitate the identification of underdeveloped villages. The CLARA algorithm, which is a development of K-Medoids, is used for non-hierarchical clustering analysis with medoids as the cluster center. This study used data of IKE, IKS, and IKL from villages in West Java in 2023. The results produce three clusters, namely independent villages (cluster 1), developed villages (cluster 2), and developing villages (cluster 3). Based on the Ministry of Village, there are 1856 villages in cluster 1, 2494 villages in cluster 2, and 961 villages in cluster 3. Meanwhile, based on the CLARA algorithm, there are 1644 villages in cluster 1, 1573 villages in cluster 2, and 2094 villages in cluster 3. The global silhouette coefficient (SC) value in the CLARA algorithm shows an SC value of 0,3614. This indicates that the grouping criteria are included in the weak category, because they are between the values of 0,26-0,50.  
Assessment of Readiness and Usability of Information Systems Use Yuniarto, Dwi; Subiyakto, Aang; Abd. Rohman, Aedah Binti; Marliana, Reny Rian
JOIN (Jurnal Online Informatika) Vol 4 No 1 (2019)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v4i1.256

Abstract

The assessment of the use of information systems has been carried out by many researchers. This research was conducted in Private Universities in Indonesia, which currently involve many information systems in many ways, especially those related to the management of Higher Education, by measuring the readiness and usability of the use of information systems with models that I build from the integration of two models. The results of the measurement of this study were obtained from the distribution of questionnaires, there were 47% of respondents who filled 61-80% of the level of IS usage and 68% of respondents stated their readiness in the level of readiness to use IS. The stage consists of evaluating reflective measurement models and structural model assessments. Evaluating reflective measurement in evaluating internal consistency reliability using Composite Reliability, Reliability Indicator, Convergent Validity, and Discriminant Validity, finally concluded that the use of the Readiness and Usability integration model can be forwarded to a more complex research stage and can use the questionnaire.
The Influence of Compensation, Workload, and Work-Life Balance on Work Loyalty with Job Satisfaction as Mediator Permana, Riyaldi Dithia; Marliana, Reny Rian
International Journal of Educational Management and Innovation Vol. 7 No. 1 (2026): in press
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijemi.v7i1.14506

Abstract

Background. This study examines the influence of compensation, workload, and work-life balance on employees’ work loyalty, with job satisfaction as a mediating variable.Methods. Using a quantitative approach, data were collected through a 4-point Likert scale survey of employees at the Central Bureau of Statistics in West Java Province in 2025, analyzed using a two-stage Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. Results. The findings reveal that workload uniquely plays both a direct and indirect role in influencing work loyalty through job satisfaction, whereas compensation and work-life balance show no significant direct effects. This research offers novelty by applying a two-stage PLS-SEM mediation analysis in the context of Indonesia’s public sector, where empirical evidence on employee loyalty determinants remains limited. Conclusion. Theoretically, this study expands the understanding of job satisfaction as a partial mediator in loyalty formation. Practically, the findings suggest that managing workload fairness can be a more effective strategy for enhancing loyalty among public employees than solely focusing on compensation or work-life initiatives.
Co-Authors Aang Subiyakto A’ang Subiyakto Abd. Rohman, Aedah Binti Aedah Binti Abd. Rohman Atep Ruhiat David Setiadi Dwi Yuniarto Faladiba, Muthia Nadhira Hendriawan, Muhammad Rifqi Leni Nurhayati Leni Nurhayati Maya Suhayati Maya Suhayati Permana, Riyaldi Dithia Rizki Sopian Roshafara, Fauziah Septiadi Padmadisastra Sri Bekti Handayani N. Sri Bekti Handayani Ningsih Suliadi Suliadi Uun Pujayanti Wagus Sejati Wahyu Noergana Wilda Ainun Nisa