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Evaluating Kernel Weighting Functions in Geographically Weighted Logistic Regression for Spatial Modelling of Stunting in East Lombok Hastuti, Siti Hariati; Chintyana, Alissa; Sastriana, Hanipar Mahyulis
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 3 December 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i3.33951

Abstract

Stunting remains a major public health concern in Indonesia, with East Lombok Regency recording the highest prevalence in West Nusa Tenggara Province in 2022. This study aims to identify factors influencing stunting while accounting for spatial heterogeneity across regions. The Geographically Weighted Logistic Regression (GWLR) method was applied, comparing three kernel weighting functions: Fixed Gaussian, Adaptive Gaussian, and Adaptive Bisquare, to determine the best-fitting model. Parameter estimation was conducted using Maximum Likelihood Estimation with the Newton–Raphson iterative procedure. The results show that the Adaptive Gaussian kernel provided the best model performance, indicated by the lowest Corrected Akaike Information Criterion (AICc) value of 28.346. Spatial mapping identified two regional clusters: one where vitamin A supplementation significantly affected stunting, and another where no explanatory variables were significant. These findings emphasize the importance of incorporating spatial effects in public health modeling to support more targeted and context-specific interventions for stunting reduction at the local level.
PELATIHAN PENGOLAHAN LIMBAH TERNAK SAPI MENJADI ENERGI ALTERNATIF (BIOGAS) DI DESA PAKUAN LOMBOK BARAT Basirun, Basirun; Hidayaturrohman, Umam; Chintyana, Alissa; Hirzi, Ristu Haiban; Sastriana, Hanipar Mahyulis; Hastuti, Siti Hariati
Journal of Community Empowerment Vol 4, No 3 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v4i3.37070

Abstract

ABSTRAK                                                                                Limbah kotoran sapi merupakan salah satu sumber pencemaran lingkungan jika tidak dikelola dengan baik. Desa Pakuan, sebagai salah satu sentra peternakan sapi di Kabupaten Lombok Barat menghadapi tantangan dalam mengelola limbah ternaknya. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan kelompok ternak dalam pengolahan limbah ternak menjadi biogas. Metode yang digunakan meliputi pendekatan partisipatif, transfer teknologi, dan monitoring evaluatif. Hasil pelatihan menunjukkan bahwa masyarakat memiliki antusiasme tinggi terhadap pemanfaatan biogas. Hal ini terbukti dari peningkatan pengetahuan yang sebelumnya 15% menjadi 80% dan peningkatan keterampilan sebelum kegiatan hanya 5% meningkat menjadi sebesar 80% sehingga dapat dikatakan bahwa mitra sudah mandiri dalam mengolah limbah ternak sapi menjadi energi alternatifr yaitu biogas dengan teknologi biodigester portabel.Kata kunci: Limbah Ternak Sapi; Digester Portabel; Energi Alternatif; Biogas. ABSTRACTCow manure is a source of environmental pollution if not managed properly. Pakuan Village, as one of the cattle farming centers in West Lombok Regency, faces challenges in managing its livestock waste. This community service activity aims to improve the knowledge and skills of livestock groups in processing livestock waste into biogas. The methods used include a participatory approach, technology transfer, and evaluative monitoring. The training results showed high community enthusiasm for biogas utilization. This is evident in the increase in knowledge from 15% to 80% and the increase in skills before the activity from only 5% to 80%. Therefore, it can be said that the partners are now independent in processing cattle waste into alternative energy, namely biogas, using portable biodigester technology.Keywords: Limbah Ternak Sapi; Digester Portabel; Energi Alternatif; Biogas.
Market Basket Analysis with Apriori Algorithm and Frequent Pattern Growth (Fp-Growth) on Outdoor Product Sales Data Nurmayanti, Wiwit Pura; Sastriana, Hanipar Mahyulis; Rahim, Abdul; Gazali, Muhammad; Hirzi, Ristu Haiban; Ramdani, Zuhut; Malthuf, Muhammad
International Journal of Educational Research & Social Sciences Vol. 2 No. 1 (2021): February 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i1.45

Abstract

Indonesia is an equatorial country that has abundant natural wealth from the seabed to the top of the mountains, the beauty of the country of Indonesia also lies in the mountains that it has in various provinces, for example in the province of West Nusa Tenggara known for its beautiful mountain, namely Rinjani. The increase in outdoor activities has attracted many people to open outdoor shops in the West Nusa Tenggara region. Sales transaction data in outdoor stores can be processed into information that can be profitable for the store itself. Using a market basket analysis method to see the association (rules) between a number of sales attributes. The purpose of this study is to determine the pattern of relationships in the transactions that occur. The data used is the transaction data of outdoor goods. The analysis used is the Association Rules with the Apriori algorithm and the frequent pattern growth (FP-growth) algorithm. The results of this study are formed 10 rules in the Apriori algorithm and 4 rules in the FP-Growth algorithm. The relationship pattern or association rule that is formed is in the item "if a consumer buys a portable stove, it is possible that portable gas will also be purchased" at the strength level of the rules with a minimum support of 0.296 and confidence 0.774 at Apriori and 0.296 and 0.750 at FP-Growth.