Pemodelan Spasial Data Panel Untuk Menentukan Faktor-Faktor Yang Mempengaruhi Kesehatan Di Provinsi Papua

Abstract

According to data from the BPS, the rate of population growth in Indonesia consistently increases every year. Conditions of population growth that cannot be suppressed will cause several problems. One of the problems in Indonesia and difficult to solve is the public health problem. Until now, the number of sick people in Indonesia is still quite high. The spatial panel model is the result of the development of the panel data model. This development was carried out because of the influence of spatial or location on panel data. Spatial information is very important because it can determine the relationship of an area with other regions that are close together. Data containing spatial elements will not be accurate if only using panel regression analysis because there are assumptions that are violated, one of which will produce heterogeneous errors. This is due to the inter-regional linkages. The purpose of this study was to determine the factors that influence the percentage of sick people in Papua Province based on several selected spatial panel models, namely SAR, SEM, GSM models. Next, an analysis was conducted to obtain the best spatial panel model.

Analisis Kebijakan Publik Dalam Derajat Kesehatan Di Papua

“…Masalah kesehatan di Papua terkait dengan faktor sosial, ekonomi, dan budaya yang unik. Sejumlah faktor seperti infrastruktur yang terbatas, akses terbatas ke sumber daya kesehatan, budaya tradisional yang kuat, dan masalah konflik di wilayah tersebut memperburuk situasi kesehatan di Papua (Hikmah and Hikmah 2020). Oleh karena itu, kebijakan publik kesehatan di Papua difokuskan pada memperbaiki akses dan kualitas layanan kesehatan, meningkatkan kesadaran masyarakat tentang kesehatan, memperkuat sistem kesehatan, serta meningkatkan ketersediaan sumber daya kesehatan seperti obat-obatan dan peralatan medis.…”