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Siti Hariati Hastuti
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pemodelan Stunting di Lombok Utara: Studi Geographically Weighted Regression Hariani, Fitri; Herniyati, Herniyati; Hardani, Bq Ika; Amli, Istia Datul; Hastuti, Siti Hariati
Jurnal Sains Matematika dan Statistika Vol 10, No 2 (2024): JSMS Juli 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i2.28683

Abstract

Penelitian ini untuk mengetahui hubungan antara Berat Badan Bayi Sangat Kurang dengan varibel Gizi Buruk dan Bayi mendapat ASI Eksklusif di Kabupaten Lombok Utara serta  menerapkan metode Geographically Weighted Regression (GWR) untuk menganalisis hubungan antara Berat Badan Bayi Sangat Kurang dengan variabel independen di Kabupaten Lombok Utara. Metode yang digunakan dalam penelitian ini adalah Geographically Weighted Regression (GWR). GWR sendiri merupakan pengembangan dari Ordinary Least Square (OLS) menjadi model regresi terboboti dengan memperhatikan efek spasial. Dengan demikian, model tersebut dapat digunakan untuk memprediksi nilai parameter pada setiap titik atau lokasi. Variabel yang digunakan pada penelitian ini yaitu: Berat Badan Bayi Sangat Kurang (Y) yang merupakan representasi dari stunting, Gizi Buruk (X1), dan Bayi mendapat ASI Eksklusif (X2). Hasil analisis menunjukkan bahwa terdapat keragaman spasial pada kasus stunting di Kabupaten Lombok Utara berdasarkan uji Breusch-Pagan. Pemodelan menggunakan GWR menghasilkan dua pengelompokan berdasarkan signifikansi parameter di seluruh desa di Kabupaten Lombok Utara. Kelompok pertama dengan signifikansi hanya pada variabel  memiliki anggota 15 desa. Kelompok kedua dengan signifikansi pada seluruh variabel memiliki anggota 18 desa. Adapun variabel yang signifikan di seluruh desa ialah variabel asi eksklusif (X2), sedangkan variabel Gizi Buruk (X1) hanya signifikan di 18 desa. Kata Kunci: Efek Spasial, Geographically Weighted Regression, Stunting
Support Vector Machine-Radial Basis Function Kernel and K-Nearest Neighbor Differences for Classification Superior Varieties of Rice in Indonesia Chintyana, Alissa; Kertanah, Kertanah; Hastuti, Siti Hariati; Khotimah, Husnul
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.27605

Abstract

Rice is the primary food source for the Indonesian population, making it a priority commodity in Indonesia. Rice production plays a significant role in Indonesia's economic development, with high-yield rice varieties being crucial for enhancing national rice output. Ensuring food security requires the selection of superior rice varieties with optimal quality. This study evaluates various high-yield rice varieties, including INPARA, INPARI, INPAGO, and HIPA, based on characteristic data collected in 2023. Machine learning algorithms, increasingly central to data analysis, were applied, leveraging labeled data suitable for supervised learning methods. During the pre-processing stage, it was determined that the data did not meet the linearity assumption. Thus the Support Vector Machine (SVM) algorithm was modified with the Radial Basis Function (RBF) kernel to better handle non-linear data. Additionally, the K-Nearest Neighbor (KNN) algorithm, a traditional method, was used for comparison. The results indicate that SVM with the RBF kernel achieved faster processing times and the accuracy value reaches 96%, nearly 10% higher than the KNN algorithm.
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.
Analysis of Regional Economic Growth Disparities in Nusa Tenggara Barat Using The Heterogeneous Coefficient Spatial Durbin Panel Model: Analysis of Regional Economic Growth Disparities in West Nusa Tenggara Province Using the Heterogeneous Coefficient Spatial Durbin Panel Model mawaddah juliarti; Siti Hariati Hastuti; Alissa Chintyana
Jurnal Forum Analisis Statistik Vol. 6 No. 1 (2026): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v6i1.142

Abstract

Disparities in economic growth between regions in West Nusa Tenggara Province still pose a fundamental problem in achieving fair and equitable development. This study aims to analyze the factors influencing regional economic growth and identify spatial disparities and structural variations between districts/cities. The method used was the Heterogeneous Coefficient Spatial Panel Model (HCSPM) with the Heterogeneous Coefficient Spatial Durbin Model (HSDM) approach, which allows regression coefficients to vary across regions and considers spatial effects both directly and indirectly. The data used was annual panel data from 10 districts/cities in NTB over the period 2018-2024, with variables including the number of BTS towers, population size, percentage of poor population, investment, average years of schooling, and human development index. The analysis results indicate significant heterogenity acress regions and a strong spatial effect (p = 0.899), with R² reaching 0.998. Some regions show a negative influence from local variables but benefit positively from spillover effect from neighboring regions. Based on these findings, economic development policies in NTB are recommended to be region based, taking into account local characteristics and potential cross regional effects, particularly in infrastructure development and human resource improvement. Keywords: Heterogeneous Spatial Durbin Models (HSDM), Economic Inequality, West Nusa Tenggara (NTB), PDRB Capita.
Analisis Spasial Dependensi Hasil Produksi Padi  di Kabupaten Lombok Timur Tahun 2023 Muliana Susilawati; Liska Lisnawati; Hasanatul Qudusiah; Siti Hariati Hastuti
Jurnal Sains Matematika dan Statistika Vol. 12 No. 2 (2026): JSMS Juli 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/1nw8kx68

Abstract

Analisis terhadap hasil produksi padi di suatu wilayah sangat penting, terutama untuk memahami efek spasial dan pengaruh faktor-faktor terhadap produktivitasnya. Pendekatan ini berguna dalam mengatasi permasalahan yang timbul akibat ketidakstabilan hasil produksi padi. Oleh karena itu penelitian ini bertujuan untuk menganalisis hasil produksi padi di kabupaten Lombok Timur tahun 2023 menggunakan metode Spatial Autoregressive Model (SAR) dan Spatial Error Model (SEM) dengan menggunakan 4 variabel independen yakni luas lahan sawah , jumlah petani , jumlah unit usaha penyedia jasa pertanian  dan jumlah alokasi pupuk . Dari hasil penelitian, Dapat disimpulkan bahwa model SEM model yang lebih baik dibandingkan regresi SAR karena nilai AIC model SEM sebesar 432,588 lebih kecil dibandingkan nilai AIC model SAR. Variabel yang memiliki pengaruh signifikan secara spasial terhadap hasil produksi padi adalah jumlah petani , jumlah unit usaha penyedia jasa pertanian  dan jumlah alokasi pupuk dengan nilai korelasi spasial pada residual antar kecamatan di Lombok Timur sebesar 0,797. Hal ini menunjukkan adanya korelasi spasial yang kuat dimana pola kesalahan di suatu kecamatan dipengaruhi oleh pola kesalahan di kecamatan lain yang berdekatan, sebagaimana ditentukan oleh matriks pembobot spasial. Tingginya korelasi spasial ini menyatakan bahwa faktor spasial berperan signifikan dalam memahami pola produksi padi di Lombok Timur. Kata Kunci: Analisis Spasial, Produksi Padi, SAR, SEM.
Co-Authors Abdullah, Abdullah Adini, Ertina Septia Alissa Chintyana Amli, Istia Datul Apriska Ayu Saputri Askariyah, Askariyah Ayu Septiani Ayu Septiani, Ayu Ayundasari, Dita Septiana Azizah, Efida Basirun, Basirun Chintyana, Alissa CHOIRUN NISA Deviani Deviani Febiana, Izu Izatul Fitri, Ika Julia Ghazali, Muhammad Hardani, Bq Ika Hariani, Fitri Hasanatul Qudusiah Hauliati, Siti Hendrayani, Hendrayani Herniyati Herniyati, Herniyati Husnaeni, Ririn Robiatul Husnul Khotimah Jatiatul Muhsinah Kartanah, Kartanah Kertanah, Kertanah Lasmiani, Bq Tia Ayu Liska Lisnawati mawaddah juliarti Muhammad Gazali Muliana Susilawati Nurmayanti, Wiwit Pura Ristu Haiban Hirzi, Ristu Rodi Satriawan Sastriana, Hanipar Mahyulis Sholihah, Imroatun Umam Hidayaturrohman Wati, Rana Ambarwati Wiwit Pura Nurmayanti Wulandari, Baiq Yuliandita