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All Journal International Journal of Artificial Intelligence Research Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan Literatus Jurnal Natural PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Journal of Innovative and Creativity
Matualage, Dariani
Jurusan Matematika Dan Statistika FMIPA Universitas Papua
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Penerapan Regresi Data Panel pada Faktor-faktor yang Mempengaruhi Tingkat Kemiskinan di Provinsi Papua Barat Tahun 2018-2022 Malawat, Jihan Rahmi; Matualage, Dariani; Matulessy , Esther Ria
LITERATUS Jurnal Ilmiah Internasional Sosial dan Budaya
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/lit.v6i1.1676

Abstract

West Papua has consistently been one of the regions with the highest poverty rates in Indonesia, ranking second in 2022. This study investigates the factors influencing the poverty rate in West Papua from 2018 to 2022 using panel data analysis, which combines both cross-sectional and time-series data. The variables examined include the open unemployment rate, economic growth rate, and human development index. A Random Effect Model (REM) was selected as the most appropriate model for analyzing the data, given its ability to account for individual-specific effects while assuming that these effects are uncorrelated with the independent variables. The model produced a goodness of fit of 0.74, suggesting a strong explanatory power. The results indicate that the economic growth rate and human development index significantly influence the poverty rate, both showing a negative correlation with poverty levels. However, the open unemployment rate was found to be insignificant. These findings suggest that focusing on economic growth and improving human development outcomes could be key to reducing poverty in West Papua. Policy implications and recommendations for further research are also discussed.
Upaya Peningkatan Pemahaman Preventif Penyakit Malaria dan Diabetes Melitus pada Masyarakat di Manokwari Dwiranti, Febriza; Sinuraya, Sabarita; Matualage, Dariani
Jurnal SOLMA Vol. 8 No. 1 (2019)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29405/solma.v8i1.3112

Abstract

Majority of patients comes to the community health centers in Manokwari areas is related to malaria diseases, and small number of patients are for diabete melitus diaseses. The patients of diabetes meliatus coming to these community center are not in prediabetic conditions. This means that they are recommended to look better or advanced treatment in hospital. This conditions are due to community lack of knowledge of malaria and diabetes mellitus (DM). To eliminate these condition, community education is important to be conducted, using different approached such as comunity service. The main targets of this research project are the community living at the rural (sub urban) and town areas. Interviews, biomedical measurement parameter, community approaches, and cutting malaria mosquito living cycle, were used to collect data and information. The results indicate that numbers of family member diagnosed with DM and Impaired Glucose Tolerance (IGT) at Town are higher than those at Rural. The respondents diagnosed DM are mostly women, either as house wife or no regular work. Interestingly, no men were reported for DM. Respondents of DM and IGT from Town were mostly at age of 45 – 54 years old, while at Rural were younger, from 15-24 years old. Malaria were found higher prevalence at the sub urban areas, and mostly suffering from Plamodium falcifarum (tropica malaria). After being community approaches, planting anti-malaria herbs, the prevelance of DM and malaria were decreasing because the community awareness of preventing malaria and DM.
Parameter Estimation in Hierarchical Models: A Comparison of Bayesian and SGD-Adam Approaches on Biomass Data of Lutjanidae Matualage, Dariani; Sadik, K; Kurnia, A; Monim, H F; Pakiding, F
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.428

Abstract

Hierarchical statistical models are widely used to analyse data with nested structures or repeated measurements, allowing variability across levels to be partitioned and providing more accurate parameter estimation than standard regression models. In the Bayesian framework, parameter estimation often uses Markov Chain Monte Carlo (MCMC), which accommodates complex structures and yields full posterior distributions. However, MCMC is computationally intensive, limiting scalability for large datasets. Recent advances in optimization methods, such as Hierarchical Stochastic Gradient Descent (HSGD) with Adaptive Moment Estimation (Adam), offer a faster and more efficient alternative for hierarchical models. This study applies Hierarchical Bayesian and HSGD-Adam approaches to fish biomass data of the family Lutjanidae from seven Marine Protected Areas (MPAs) in Raja Ampat, Indonesia. The model incorporates ecological predictors such as hard coral cover, distance to the nearest village and period of monitoring, with random effects for area of MPA. Comparison of predictive performance showed that the Bayesian model performed slightly better in RMSE, indicating its ability to capture extreme biomass variations, while SGD-Adam model achieved a lower MAE, reflecting greater stability in prediction. These findings demonstrate that advanced hierarchical modelling methods can enhance ecological data analysis and provide timely, data-driven insights for sustainable marine conservation policy.
Penerapan Analisis Jalur (Path Analysis) Untuk Menganalisis Faktor-Faktor Yang Mempengaruhi Kualitas Indeks Pembangunan Manusia Di Kabupaten Buton Irfan Masrudin; Esther Ria Matulessy; Dariani Matualage; Trigarcia Maleachi Randa; Dahlia Gladiola Rurina Menufandu
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.1237

Abstract

Indikator keberhasilan pembangunan manusia di suatu negara dapat diukur melalui Indeks Pembangunan Manusia, yang mencakup tiga dimensi dasar umur panjang dan hidup sehat, pengetahuan, serta standar hidup layak. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang secara langsung dan tidak langsung mempengaruhi IPM di Kabupaten Buton menggunakan metode analisis jalur. Hasil analisis menunjukkan bahwa usia harapan hidup, pengeluaran per kapita dan harapan lama sekolah memberikan pengaruh langsung yang signifikan terhadap IPM, dengan persamaan
Co-Authors Amalia Pasaribu, Asysta Anang Kurnia Bagus Sartono Dahlia Gladiola Rurina Menufandu Desti Setya Ningsih Dwiranti, Febriza Esther Ria Matulessy Esther Ria Matulessy Esther Ria Matulessy Esther Ria Matulessy Fitriyani Sahamony, Nur Fitryanti Pakiding Indah Ratih Anggriyani Indah Ratih Anggriyani Indah Ratih Anggriyani Irfan Masrudin Kurnia, A La Fajrin La Fajrin Malawat, Jihan Rahmi Matulessy , Esther Ria Monim, H F Pakiding, F Sadik, K Sinuraya, Sabarita Siskarossa Ika Oktora Tri Widjajanti Widjajanti Trigarcia Maleachi Randa Triono Wahyu Diamtoro