Judul: Pemodelan Spatio-Temporal Menggunakan Generalized LASSO  pada Kasus Stunting di Indonesia
Abstrak: Penelitian ini menganalisis prevalensi stunting di 34 provinsi di Indonesia dari tahun 2020 hingga 2022 menggunakan pendekatan spatio-temporal dengan model generalized Least Absolute Shrinkage and Selection Operator (LASSO), yang mempertimbangkan kedekatan geografis dan temporal antar wilayah. Tujuan penelitian ini adalah untuk mengidentifikasi faktor-faktor yang berpengaruh terhadap angka stunting. Model dengan matriks penalti D berdasarkan kedekatan queen dan parameter λ = 0,055 menunjukkan adanya pengelompokan pengaruh terjadi pada provinsi di dalam pulau yang sama. Analisis menunjukkan Berat Badan Lahir Rendah (BBLR), kurangnya akses terhadap pelayanan kesehatan, dan tidak menyelesaikan studi SMA sebagai faktor paling berpengaruh terhadap prevalensi stunting. Generalized LASSO dalam penelitian ini mampu mengidentifikasi faktor-faktor yang berpengaruh terhadap angka stunting., This study analyzes the prevalence of stunting in 34 provinces of Indonesia from 2020 to 2022 using a spatio-temporal approach with the Generalized Least Absolute Shrinkage and Se lection Operator (LASSO) model, which considers the geographical and temporal proximity between regions. The aim of this research is to identify the factors influencing stunting rates. The model with a penalty matrix D based on queen contiguity and a parameter λ = 0.055 indicates that the clustering of influences occurs in provinces within the same island. The analysis shows that Low Birth Weight, lack of access to healthcare services, and not completing high school are the most influential factors affecting the prevalence of stunting. The Generalized LASSO in this study successfully identifies the factors influencing stunting rates.
Keyword: generalized LASSO, stunting, spatio-temporal

Judul: Studi Faktor Determinan Stunting pada Anak Usia di Bawah 5 Tahun di Indonesia 2016 - 2022: Analisis Regresi Panel Spasial
Abstrak: Child stunting remains a critical issue for human resource development in Indonesia, despite a 10% reduction in prevalence to 21.6% in 2022. This study employs spatial panel regression to assess and understand the spatial distribution of stunting rates across Indonesian provinces, identify the determinant factors of stunting among children under five, and determine the most effective approach for reducing stunting prevalence as the recommendations. This method is underutilized in supporting policy-making and program development at both national and regional levels. Given significant socio-economic disparities and infrastructural limitations across the archipelago, prioritizing effective interventions is crucial. The findings reveal that the Spatial Autoregressive Model (SAR) with Fixed Effect Model (FEM) with time effects is the best model for analysing stunting prevalence from 2016 to 2022 in Indonesia. The analysis results indicate that high school graduation rates, gender inequality, and unmet health service needs are significant predictors. The selected SAR-FE model demonstrates a coefficient of determination of 67.84% and an AIC of -860.36 using a k-nearest neighbour weighting matrix. This research provides critical insights into the determinants and spatial distribution of stunting in Indonesia, offering policymakers tailored evidence to design effective interventions., Masalah stunting pada anak tetap menjadi isu penting untuk pengembangan sumber daya manusia di Indonesia, meskipun prevalensinya mengalami penurunan sebesar 10% menjadi 21.6% pada tahun 2022. Penelitian ini menggunakan regresi panel spasial untuk mengidentifikasi determinan stunting serta memahami disparitas regional yang terjadi di Indonesia. Tujuan penelitian ini yakni untuk mengidentifikasi distribusi spasial tingkat stunting di seluruh provinsi Indonesia, mengkaji faktor-faktor penentu stunting pada anak di bawah lima tahun, serta menentukan pendekatan paling efektif untuk mengurangi prevalensi stunting dalam bentuk rekomendasi. Hasil di lapangan menyatakan bahwa metode ini masih kurang dimanfaatkan dalam mendukung pembuatan kebijakan dan pengembangan program di tingkat nasional dan regional. Dengan disparitas sosial-ekonomi yang signifikan dan keterbatasan infrastruktur di seluruh kepulauan, prioritas intervensi yang efektif menjadi poin yang sangat krusial. Temuan studi ini mengungkapkan bahwa Spatial Autoregressive Model (SAR) dengan Fixed Effect Model (FEM) atau model pengaruh tetap dengan efek waktu adalah model terbaik untuk menganalisis prevalensi stunting dari tahun 2016 hingga 2022 di Indonesia. Hasil analisis menunjukkan bahwa tingkat kelulusan sekolah menengah atas, ketidaksetaraan gender, dan kebutuhan pelayanan kesehatan yang tidak terpenuhi adalah prediktor signifikan. Model SAR-FE terpilih menunjukkan nilai koefisien determinasi sebesar 67.84% dan AIC sebesar -860.36 dengan menggunakan matriks pembobot k-nearest neighbour.
Keyword: Stunting, disparity, socio-economic, spatial panel, weighting matrices

Judul: Elektrodeposisi Film Tipis Semikonduktor Cu2ZnSnS4 (CZTS) pada Substrat Kaca ITO
Abstrak: Semiconductor Cu2ZnSnS4 (CZTS) thin film that can be used as absorber layers on solar cell module was made via electrodeposition method. CZTS thin film was electrodeposited on the surface of a silicate glass coated with a thin layer of indium tin oxide (ITO). Deposition process was done using potentiostatic mode at room temperature with a potential of 1.05 V for 30, 45, and 60 minutes, followed with annealing the film at 2 different temperatures, 500 ºC using furnace and 180 ºC using hot plate, both treatments for 45 minutes in N2/H2S atmosphere. The X-ray difractograms were analyzed using Match 2 program and showed that the CZTS thin films had kesterit crystalline structure, with a low percentage of CZTS phase. The thin film also contained secondary phases such as Cu2S, ZnS, and SnS. The obtained CZTS thin films had a thickness between 1.039 and 1.676 μm. Absorption study showed that the band gap energy of CZTS thin films which was annealed using furnace ranged from 1.50 to 1.52 eV, whereas that annealed using the hot plate was not observed. The band gap energy value showed that CZTS thin films can be used as sunlight absorber layers on solar cell. The formation of CZTS crystal film on this investigation was effectively performed using furnace annealing process at a temperature of 500 ºC with deposition time of 45 minutes.
Keyword: Thin film, Electrodeposition, Cu2ZnSnS4