This portfolio showcases my works in urban planning, academic research, and GIS-based spatial analysis. It includes maps, visualizations, publications, and creative projects that reflect both my technical skills and research interests. All contents are my own creations. I kindly ask that you respect academic and professional ethics by giving proper credit and not using these works without permission.
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Pemodelan Indeks Pembangunan Manusia Dengan Metode Geographically Weighted Regression Untuk Mencapai Tujuan Pembangunan Berkelanjutan Di Provinsi Kalimantan Tengah
Jurnal Saujana
Evan, Jeriko Agustinus
Under Review at Saujana: Jurnal Perencanaan Wilayah dan Kota
Doi : (Soon)
Abstract :
Human development, first conceptualized by Amartya Kumar Sen and Martha Nussbaum, is defined as the process of expanding people’s choices. The Human Development Index (HDI) plays a crucial role in shaping policies related to economic growth, employment, and quality of life. Although Central Kalimantan’s HDI has increased annually, progress remains slow. This study analyzes the effects of Life Expectancy (LE), Mean Years of Schooling (MYS), Expected Years of Schooling (EYS), and Per Capita Income (PCI) on HDI using Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models. Results show that MYS significantly influences HDI, while GWR achieves higher accuracy (99.93%) and identifies five spatial clusters with different determining factors, highlighting the importance of spatial approaches in understanding human development dynamics
KEMISKINAN DI KABUPATEN KOTAWARINGIN TIMUR : POLA PERSEBARAN DAN VARIAN FAKTOR PENYEBAB
Jurnal Plano Madani
Evan, Doddy Aditya Iskandar
Volume 15 Nomor 2 (Oktober 2026)
Doi : (Soon)
Abstract :
Poverty represents one of the oldest and most persistent societal challenges, remaining difficult to resolve until today. In addressing poverty, spatial aspects have often been neglected, as evidenced by the uniform application of poverty alleviation programs across diverse contexts. Currently, East Kotawaringin Regency ranks first in Central Kalimantan Province in terms of the number of poor residents, reaching 30,328 individuals. However, there is still a lack of measurable information and analysis regarding the characteristics of poverty that constitute the specific challenges faced by this regency. Given this situation, it is necessary to conduct a study on the identification of poverty clusters in East Kotawaringin Regency, particularly examining the dominant patterns of land use within the established clusters. To achieve this, cluster analysis was employed using detailed data at the individual level, which were subsequently aggregated into spatial aspects at the village scale. The results of multicollinearity testing indicated that the Variance Inflation Factor (VIF) values for variables such as household size, sources of clean water, sources of lighting energy, sanitation facilities, number of bicycles, and household welfare status were below 0.05. Based on the cluster analysis, poverty in East Kotawaringin Regency can be categorized into three clusters. The first cluster represents low-level poverty characterized by limited access to basic facilities and sanitation, predominantly situated in large-scale plantation areas covering 214,070.08 hectares. The second cluster reflects moderate-level poverty with a high dependency ratio, primarily associated with dense forest areas totaling 445,093.85 hectares. The third cluster represents high-level poverty characterized by low welfare conditions, also dominated by dense forest land use spanning 78,661.08 hectares.
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