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All Journal Knowledge Engineering and Data Science Journal of Environmental Science and Sustainable Development Jurnal Ekonomi Indonesia PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Ekonomi Kesehatan Indonesia
Wulansari, Ika Yuni
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Medicine & Pharmacology Public Health Social Sciences

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MEASURING THE PERFORMANCE OF SDGS IN PROVINCIAL LEVEL USING REGIONAL SUSTAINABLE DEVELOPMENT INDEX Thamrin, Nurafiza; Wulansari, Ika Yuni; Irawan, Puguh Bodro
Journal of Environmental Science and Sustainable Development Vol. 6, No. 2
Publisher : UI Scholars Hub

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Abstract

Measuring the national and sub-national progress in achieving such globally adopted development agendas as Sustainable Development Goals (SDGs) is particularly challenging due to data availability and compatibility of indicators to measure SDGs, especially in Indonesia. This paper attempts to measure the performance of sustainable development at the regional level in Indonesia by newly constructing a multidimensional composite index called the Regional Sustainable Development Index (RSDI). RSDI comprises four dimensions, covering comprehensive economic, social, environmental, and governance indicators. By applying factor analysis, the paper assesses the uncertainty of RSDI and the sensitivity of its composing indicators, then further investigates the relationship between RSDI and the Human Development Index (HDI). RSDI is proven to have high precision with low uncertainty. A significantly positive relationship between RSDI and HDI suggests a consistent direction between both progresses (0.7726). RSDI in Indonesia can be categorized as medium-high level, with two provinces (East Nusa Tenggara and Papua) having low RSDI. RSDI helps identify provinces with the latest progress in SDG performance, allowing the government to prioritize interventions for provinces lagging behind.
Analysis Of Risk for Class Shifting And Determinants of BPJS Kesehatan Membership Using Generalized Ordered Logit-Unconstrained Partial Proportional Odds Model Oktora, Siskarossa Ika; Wulansari, Ika Yuni; Ermawan, Geri Yesa
Jurnal Ekonomi Kesehatan Indonesia Vol. 4, No. 2
Publisher : UI Scholars Hub

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The main source of funding of BPJS Kesehatan comes from the different premium class in which the participant registered. The medical benefits among classes are equivalent, except inpatient facilities. But when the improvement health degree is not linear with the incurred costs, problem would arise. This study aims to analyze class shifting and determinants of BPJS Kesehatan membership. Around 1.53 percent of participants access higher classes, while 5.62 percent access lower classes. Class III participants with inpatient status severity level 2 and 3, reaching 41% and 43%, respectively. In addition, 60% of non-PBI participants are Class II premium participants; most of them are male, productive age, and workers. This research using Generalized Ordered Log- it Unconstrained Partial Proportional Odds Model concludes that participants who are married tend to choose higher premium class. Whereas productive age participants and a worker is in the lower premium class. The recommendation is the evaluation of membership based on class premium contributions considering potential participants (productive age and workers) who tend should be conducted in a lower class. Although mutual assistance is the principle of National Health Insurance, specific mechanisms should be established to examine the relation of age and health status to each participant regarding the difference in the registered class, besides their economic factors
Analisis Determinan Status Kemiskinan Berisiko COVID-19 Level Kabupaten/Kota di Indonesia Putri M., Mustika; Wulansari, Ika Yuni
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 11 No 1 (2022): April
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v11i1.174

Abstract

Penelitian ini bertujuan untuk menganalisis kaitan antara persentase penduduk miskin berisiko COVID-19 dengan variabel-variabel makro yang memengaruhinya menggunakan analisis Klaster K-Medoids dan metode Regresi Logistik Ordinal PPOM. Hasil penelitian menunjukkan bahwa kelompok wilayah dengan persentase penduduk miskin berisiko COVID-19 sedang dan tinggi dipengaruhi oleh Indeks Pembangunan Manusia (IPM), Indeks Ketahanan Pangan (IKP), kepadatan penduduk, pertumbuhan ekonomi, Transfer ke Daerah dan Dana Desa (TKDD), dan Pendapatan Asli Daerah (PAD), sedangkan untuk kelompok wilayah dengan persentase penduduk miskin berisiko COVID-19 tinggi dipengaruhi oleh IPM, IKP, dan pertumbuhan ekonomi. Pemerintah perlu berfokus pada penanganan penduduk miskin berisiko COVID-19, memaksimalkan peningkatan kualitas sumber daya manusia, mendorong program pemerataan penduduk, serta lebih intensif melakukan pemantauan dan evaluasi ketepatan sasaran TKDD.
The Influences of Climate Change and Social Vulnerability on Dengue Fever Incidence Rate in West Java Province 2019–2023 Hanif, Alwan Nabil; Sohibien, Gama Putra Danu; Wulansari, Ika Yuni
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.606

Abstract

In Indonesia, dengue fever is a serious public health problem. The increase in dengue fever cases is influenced by climate change and social vulnerability factors. This study focuses on West Java Province in 2019–2023, aiming to describe the spatial-temporal pattern of dengue fever incidence and analyze the influence of climate factors and social vulnerability using a spatial-temporal model, namely Geographically Temporally Weighted Regression (GTWR). The exploration results show a high concentration of dengue fever incidence rates in 2019, while in 2023, the intensity of dengue fever incidence decreases. The GTWR model produces local parameters across various regions and time periods, indicating that in most regencies/cities, rainfall, population density, access to inadequate sanitation, health facility ratio, and education level have a positive effect on dengue fever incidence rates, while land surface temperature and the percentage of poor people have a negative effect. From the GTWR model results, areas with high levels of dengue fever vulnerability can be identified as priorities for dengue fever management interventions. Therefore, this study contributes to early warning research and dengue fever control program planning by considering the risk of dengue fever vulnerability in each region.
Optimizing Malaria Control: Granular and Cost-Effective Mosquito Habitat Index in Endemic Areas Through Satellite Imagery Daulay, Nur Ainun; Putri, Salwa Rizqina; Wijayanto, Arie Wahyu; Wulansari, Ika Yuni
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Malaria, classified as a tropical disease under the Sustainable Development Goals (SDGs) indicator 3.3, remains a significant global health challenge. In this study, by taking advantage of multiple spectral composite indexes of multisource satellite imagery to capture various geospatial features relevant to the suitability of marsh mosquito habitat, we introduced the Mosquito Habitat Suitability Index (MHSI) to assess potential Anopheles mosquito breeding sites in terms of the vegetation density, water bodies, environment temperature, and humidity in any particular areas. The MHSI integrates the publicly accessible granular level of the normalized difference vegetation index, water index, land surface temperature, and moisture index from cost- effective low and medium-resolution optical satellite data. We focus on West Papua Province, Indonesia, known for diverse ecological conditions and varying malaria prevalence, as a case study area. From the built index, the risk zone map is then formed with the K-Means algorithm. One key finding is the elevated risk in Fakfak Regency, demanding particular attention, as its high-risk area represents 45% of its total. This research aids localized decision-making to combat malaria's unique challenges in West Papua Province which are relevant for implementation in other regions, contributing to SDG-aligned interventions for malaria eradication by 2030.
Co-Authors Arie Wahyu Wijayanto Daulay, Nur Ainun Ermawan, Geri Yesa Hanif, Alwan Nabil Irawan, Puguh Bodro Pratiwi, Kandi Dwi Putri M., Mustika Putri, Salwa Rizqina Siskarossa Ika Oktora Sohibien, Gama Putra Danu Thamrin, Nurafiza