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All Journal Jurnal Kolaboratif Sains Prosiding Seminar Nasional Official Statistics
Wicaksono, Achmad Maulana Andi
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Penggunaan Proportional Odds Model (POM) dalam Regresi Logistik Ordinal untuk Menganalisis Faktor-Faktor Penentu Balita Stunting di Indonesia: Using Proportional Odds Model (POM) in Ordinal Logistic Regression to Analyze Determining Factors of Stunting Toddlers in Indonesia Raihannabil, Syfriza Davies; Wicaksono, Achmad Maulana Andi
Jurnal Kolaboratif Sains Vol. 7 No. 11: November 2024
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v7i11.5984

Abstract

Stunting tetap menjadi tantangan besar di banyak negara berkembang, termasuk Indonesia. Meskipun Indonesia memiliki ekonomi terbesar di Asia Tenggara, negara ini berada di peringkat kedua setelah Timor Leste dalam hal prevalensi stunting pada balita. Oleh karena itu, tujuan daripada penelitian ini adalah menganalisis faktor-faktor penentu balita stunting di Indonesia. Data yang digunakan berasal dari SUSENAS BPS dan SKI Kemenkes. Metode yang diterapkan adalah proportional odds model dalam analisis regresi logistik ordinal. Penelitian menghasilkan bahwa belanja makanan (odds ratio = 0.977), kekurangan konsumsi pangan (odds ratio = 1.236), kelengkapan cakupan imunisasi dasar (odds ratio = 0.849), ketersediaan air minum yang layak dari sumbernya (odds ratio = 0.980), dan kunjungan kelas ibu hamil sebanyak ? 4 kali (odds ratio = 0.720) signifikan berpengaruh terhadap tingkat balita stunting di Indonesia. Sebesar 82.7% dari variasi data mampu dijelaskan oleh model dan mencapai akurasi klasifikasi sebesar 76.47%.
Identifikasi Daerah dengan Infrastruktur Telekomunikasi Tertinggal di Indonesia Menggunakan Algoritma UPGMA dan WPGMA Raihannabil, Syfriza Davies; Wicaksono, Achmad Maulana Andi
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2332

Abstract

Telecommunication infrastructure plays a crucial role in regional development in the digital era. Although ICT usage and mastery in Indonesia have improved, challenges remain in the equitable distribution of access and infrastructure. Using secondary data from the National Socio-Economic Survey (Susenas) by BPS, this study aims to identify regions with underdeveloped telecommunications infrastructure and determine the best hierarchical clustering algorithm. UPGMA and WPGMA were applied. The results show that UPGMA outperforms WPGMA, producing four optimal clusters: 1 province is very advanced, 4 are advanced, 28 are underdeveloped, and 1 is very underdeveloped. Therefore, the results of this study are expected to be the basis for formulating more targeted telecommunications infrastructure development policies, especially for areas that are classified as very underdeveloped, so that the digital divide can be reduced and inclusive digital transformation can be realized.
Co-Authors Raihannabil, Syfriza Davies