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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Journal of Civic Education UNP Journal of Statistics and Data Science
Suci Rahmadani
Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Social Sciences

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Program Dinas Kebudayaan Sumatera Barat dalam Melestarikan Budaya Minangkabau Suci Rahmadani; Hasrul Hasrul
Journal of Civic Education Vol 4 No 2 (2021): Journal of Civic Education
Publisher : Jurusan Ilmu Sosial Politik, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.671 KB) | DOI: 10.24036/jce.v4i2.526

Abstract

Penelitian ini bertujuan untuk mendesksripsikan program Dinas Kebudayaan Sumatera Barat dalam melestarikan nilai-nilai budaya Minangkabau. Penulis menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data dilakukan dengan cara observasi, wawancara dan dokumentasi. Setelah data diperoleh maka di analisis melalui 4 tahap yakni mengumpulkan data, reduksi data, penyajian data dan menarik kesimpulan. Hasil penelitian menunjukkan bahwa program Dinas Kebudayaan Sumatera Barat dalam melestarikan nilai-nilai budaya Minangkabau. Pertama, program pemberdayaan dan penguatan eksistensi lembaga-lembaga adat seni dan budaya meliputi: a) penguatan adat nagari, b) penerapan nilai-nilai adat minangkabau bagi masyarakat dan generasi muda c) peningkatan wawasan adat bagi pengurus KAN dan Bundo Kanduang. Kedua, program pembinaan dan pengembangan pendidikan budaya meliputi: a) pelestarian dan aktualisasi nilai-nilai Matrilinial, b) Sosialisasi pedoman pengamalan Adat Basandi Syarak Syarak Basandi Kitabullah kepada kelompok masyarakat, c) bimtek penguatan nilai-nilai budaya bagi orang tua, guru dan penggiat himpunan anak usia dini, dan d) sosialisasi adat minangkabau terhadap generasi muda yang mengacu kepada Adat Basandi Syarak Syarak Basandi Kitabullah.
Cox-Stratified Model in Relationship Analysis between Employee Mental Health and Resignation Decision Sari Agustin; Tessy Octavia Mukhti; Suci Rahmadani; Afifah Nabilah; Wafiq Alya Aufa
UNP Journal of Statistics and Data Science Vol. 3 No. 2 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss2/350

Abstract

This study examines the relationship between employee mental health and turnover decisions using the Cox Stratified model. Utilizing secondary worker turnover data from Kaggle, the research investigates the impact of anxiety and self-control on job tenure. Results indicate that the Cox Proportional Hazard model significantly explains this relationship, with self-control emerging as a key factor negatively associated with turnover risk. Stratification of profession variables, which did not meet the proportional hazard assumption, revealed variations in survival rates across different professions. Professions requiring strong self-control, such as HR and sales, exhibited higher survival probabilities, whereas high-pressure professions like consulting andshowed lower survival rates. A reduced model confirmed the importance of self-control in employee retention. The findings suggest that interventions aimed at enhancing self-control could serve as an effective strategy for mitigating turnover, especially in high-stress occupations. Elevated job pressure can negatively impact employee mental well-being, potentially disrupting self-control and increasing anxiety levels. Future research could incorporate additional influential factors, such as job satisfaction, work environment, and social support, to further develop this research. Furthermore, the implementation of real-time data collection could enable continuous monitoring of mental conditions, behaviors, and relevant factors such as self-control and anxiety, providing dynamic insights over short time intervals.
Applying Robust Spatial Autoregressive Model to Analyze the Determinants of Open Unemployment in West Java Berliana Nofriadi; Suci Rahmadani; Sepniza Nasywa; Tessy Octavia Mukhti; Yenni Kurniawati
UNP Journal of Statistics and Data Science Vol. 3 No. 3 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss3/402

Abstract

Open unemployment is a critical macroeconomic challenge in developing regions like West Java, Indonesia, where spatial disparities and data anomalies complicate traditional analysis. This study addresses these limitations by employing a Robust Spatial Autoregressive (RSAR) model with M-Estimator, integrating spatial dependence and outlier resilience to enhance estimation accuracy. Using 2024 district-level data from Indonesia’s Central Bureau of Statistics (BPS) and Open Data Jabar, the research examines determinants such as labor force participation, education, and regional GDP. The methodology begins with Ordinary Least Squares (OLS) to identify initial predictors, followed by spatial diagnostics (Moran’s I, Lagrange Multiplier tests) to confirm spatial autocorrelation. A customized Queen contiguity weight matrix captures neighborhood effects, while robust M-Estimation mitigates outlier distortions. Results reveal that the RSAR model achieves superior explanatory power (R² = 0.8626) compared to OLS and standard Spatial Autoregressive (SAR) models, with labor force participation (X₄) emerging as a significant negative predictor of unemployment. Spatial effects (ρ = 0.337) though modest, underscore the importance of inter-regional dynamics. The study concludes that RSAR offers a more reliable framework for regional labor analysis, combining spatial rigor with robustness against data irregularities. Policy-wise, the findings advocate targeted interventions to boost labor participation and address localized disparities, emphasizing the need for spatially informed, outlier-resistant methodologies in economic planning.
Co-Authors Afifah Nabilah Berliana Nofriadi Hasrul Piliang Sari Agustin Sepniza Nasywa Tessy Octavia Mukhti Wafiq Alya Aufa