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All Journal Jurnal Media Gizi Indonesia (MGI) Inferensi
Faradilla Harianto
Universitas Airlangga
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Health Professions Mathematics Social Sciences

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REGIONAL MAPPING IN BANGKALAN DISTRICT BASED ON POTENTIAL INDICATORS OF TOTAL STUNTING USING K-MODE CLUSTER ALGORITHM Adma Novita Sari; Dzuria Hilma Qurotu’ain; Faradilla Harianto; Sa'idah Zahrotul Jannah
Media Gizi Indonesia Vol. 17 No. 1SP (2022): Media Gizi Indonesia (National Nutrition Journal) Special Issue: Internation
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mgi.v17i1SP.76-82

Abstract

Indonesia has the highest number of stunted children in Southeast Asia. Indonesia's stunting prevalence rate is also still higher than the threshold set by WHO (20%). This issue has become a particular concern of the government. Hence, by 2024, the government targets the prevalence of stunting to decrease to 14% under Presidential Regulation no. 72 of 2021. One of the highest stunting cases in Indonesia is Bangkalan Regency, which has a prevalence rate of 38.9%, exceeding the maximum stunting target limit in Indonesia. Therefore, this study aimed to map the area in Bangkalan Regency based on the factors that influence stunting cases in toddlers. This study used data from the National Population and Family Planning Agency (BKKBN) survey in 2021. The results show that several sub-districts in Bangkalan still have poor water availability, sanitation, environmental hygiene, and housing welfare. Mapping the area can help the government provide the right solution for the area's problems.
Pengelompokan Daerah di Jawa Timur Berbasis Indikator Kesejahteraan Masyarakat dengan Pendekatan Analisis Cluster Hierarki Muhammad Fikry Al Farizi; Faradilla Harianto; Maria Setya Dewanti; Cynthia Anggelyn Siburian; M. Fariz Fadillah Mardianto; Dita Amelia; Elly Ana
Inferensi Vol 6, No 2 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i2.15452

Abstract

Based on Central Statistics Agency (BPS) data in September 2021, East Java is a province with the largest number of poor people in Indonesia with a total of 26,503 million people. Poverty is one of the factors that affect people's welfare in East Java. Therefore, this research was conducted to classify regencies and cities in East Java based on indicators of community welfare through a hierarchical cluster analysis approach using the single linkage, complete linkage, average linkage, and ward methods, determine the optimum cluster for each method using Pseudo – F, then compare the four methods and determine the best method using the rated value, as well as identify the characteristics of each cluster group based on the best method. There are six variables that will be used in this study. All variable data is secondary data obtained from the official website of the Central Statistics Agency (BPS) of East Java Province. This study produced four clusters using the average linkage method as the best method. This research is expected to be useful as a consideration for evaluating the government and related agencies to overcome the main problems that still occur in each regency and city. Thus, the welfare of the people of East Java can be realized and the SDGs targets in Indonesia can be achieved.
Co-Authors Adma Novita Sari Cynthia Anggelyn Siburian Dita Amelia Dzuria Hilma Qurotu’ain Elly Ana M. Fariz Fadillah Mardianto Maria Setya Dewanti Muhammad Fikry Al Farizi Sa'idah Zahrotul Jannah