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All Journal Desimal: Jurnal Matematika Abdimas Indonesian Journal
Putri, Octa Yulanda
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Religion Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mathematics Social Sciences

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Penyuluhan Peningkatan Kualitas Air Bersih Melalui Pelatihan Pembuatan Filter Air Sederhana di Desa Pekubuan Srg, Lailatun Nur Kamalia; Al Ghifari, Muhammad; Aziz, Nurul Azmi; Putri, Octa Yulanda
Abdimas Indonesian Journal Vol. 4 No. 2 (2024)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v4i2.448

Abstract

The water category in one of the areas, namely Langkat Regency, Tanjung Pura District, Pekubuan Village, is said to be unclear and murky so it can be said that it does not meet cleanliness standards. To overcome this problem, simple and cheap technology for water filtration can be a practical solution for the people of Pekubuan Village, namely by using a simple water filter that uses natural materials such as sand, charcoal, palm fiber and gravel. This research aims to evaluate the effectiveness of training in making simple water filters in improving the quality of clean water that can be consumed by the community. This research uses qualitative methods by conducting outreach, outreach, practice of making simple water filtration and evaluation. The results obtained from the training in making simple water filters were to increase the insight of the people of Pekubuan Village that water that is cloudy and unfit for consumption can be filtered in a simple way to become clean water.
Application of Robust Regression with MM-Estimation toAggregated Data on Iron Tablet Receipt and Consumptionamong Pregnant Women in North Sumatra Province Putri, Octa Yulanda; Cipta, Hendra
Desimal: Jurnal Matematika Vol. 9 No. 1 (2026): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v9i1.30389

Abstract

Aggregated administrative data are widely used to monitor large-scale public health programs, yet their statistical analysis is often challenged by population heterogeneity and the presence of influential observations that can undermine conventional regression inference. This study applies robust regression with MM-estimation to aggregated data on iron tablet receipt and consumption among pregnant women in North Sumatra Province. As a baseline, ordinary least squares regression is first employed to examine associations between program-related indicators and the reported number of compliant pregnant women. Diagnostic evaluations reveal substantial leverage and influential units, indicating that ordinary least squares estimates are sensitive to extreme observations and scale-driven distortions inherent in regional administrative data. To address this issue, robust regression using MM-estimation is applied due to its high breakdown point and efficiency under conditions of influential observations. The comparative analysis demonstrates notable differences in coefficient stability and inferential conclusions between the conventional and robust models, highlighting how population scale effects can mechanically dominate regression outcomes when robustness is not considered. Rather than advancing causal claims regarding program effectiveness, this study emphasizes the methodological implications of applying robustness-oriented estimation techniques to aggregated administrative data. The findings underscore the importance of robust regression as a corrective analytical strategy for improving inferential stability and reliability in applied statistical analyses of regional health data characterized by heterogeneity and influential observations.
Co-Authors Al Ghifari, Muhammad Aziz, Nurul Azmi Hendra Cipta Srg, Lailatun Nur Kamalia