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Journal : STATISTIKA

Analysis of Stunting Data in Indonesia Using K-Means and Self Organizing Map (SOM) Allo, Caecilia Bintang Girik; Nicea Roona Paranoan; Winda Ade Fitriya B; Bobi Frans Kuddi; Feby Seru
Statistika Vol. 25 No. 2 (2025): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v25i2.7778

Abstract

Abstract. Stunting is a global public health concern, including in Indonesia. The Indonesian government establishes a target for stunting prevalence reduction every year. The government is aiming for a stunting prevalence of 18% in 2025. The government certainly requires policy recommendations to achieve this target. Clustering analysis can be used to identify provinces with similar characteristics or those that still require special attention based on stunting related indicators. There are several clustering methods, including K-Means and Self-Organizing Map (SOM). This study aims to classify provinces in Indonesia based on indicators related to stunting and to compare the performance of two clustering methods. Based on the obtained data, it was found that the data contains outliers. The best clustering method can be determined using the Silhouette Coefficient (SC) and Davies Bouldin Index (DBI). The results showed that the highest SC value, 0.62, was obtained using the SOM method and the lowest DBI, 0.75, was obtained also using SOM method. Two clusters were formed using the SOM method. Cluster 1 consisted of 36 provinces in Indonesia. Cluster 2 consisted of 2 provinces, namely Highland Papua and Central Papua.
Comparison of the Claim Ratio Method and the Bornhuetter-Ferguson Chain Ladder Method in Claim Reserve Calculation Paranoan, Nicea Roona; Seru, Feby; Gultom, Ayub Sahala
Statistika Vol. 25 No. 2 (2025): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v25i2.7934

Abstract

Abstract. Uncertainty in life brings risks that can threaten financial stability, making the existence of insurance crucial for managing such risks. One of the key elements in insurance is the management of claim reserves, which are funds allocated to meet outstanding claim obligations. This study aims to analyze and compare two claim reserve estimation methods, namely the Claim Ratio Method and the Bornhuetter-Ferguson Method, to assess the accuracy of each. The analysis is conducted by calculating claim reserve estimates using both methods based on historical claim data. The data used in this study are simulated data obtained through random sampling using Microsoft Excel. The results show that the Claim Ratio Method produced an estimate of 204,691,130, while the Bornhuetter-Ferguson Method yielded an estimate of 211,097,953. Compared to the Claim Ratio Method, the Bornhuetter-Ferguson Method provides results that are closer to reality, as it takes into account the claim development pattern in more detail, particularly for data with high variability. The study concludes that the choice of estimation method has significant implications for the financial stability of insurance companies. More accurate reserve calculations not only strengthen the solvency and operational efficiency of insurers but also reinforce policyholder trust and confidence in insurance protection. Consequently, the adoption of more robust methods such as the Bornhuetter-Ferguson is recommended, while future research is encouraged to explore alternative or hybrid models that may further improve estimation accuracy in diverse contexts.
Co-Authors Albertus Girik Allo Allo, Caecilia Bintang Girik Allo, Cecilia Bintang Girik Appa, Felycitiae E. Aryanto Aryanto Ayub Sahala Gultom B Fitriya, Winda Ade Basa T Rumahorbo Battu, Yudistira S. Bobi Frans Kuddi Boli, Elisabert Bre Caecilia Bintang Girik Allo Daniel Z.K. Wambrauw Deppa Ringgi’ Diana M. Abulais Efray Wanimbo Eygner Talakua FEBY SERU Felycitae Ekalaya Appa Frans Augusthinus Asmuruf Friyuanita Lubis Girik Allo , Caecilia Bintang Gunawan, Vincentius Abdi Gusthvi, Wickly Hamzah, Hardi Hardi Hamzah Haryati, Kristina Hehanussa, Kedswin Gerson Himawan Himawan Imam Mishbach Jonathan k. Wororomi Karisoh, Gabriela O. Kobak, Unyil Leopold A. Tomasila Liyatin Gea Lolita Tuhumen Lolita Tuhumena Mandey, Vera Kostansie Mentansan , George Muhammad Hisyam Nada Pertiwi Papriani Nazal, Muhammad Asghar Numberi, Yulindra Margaretha Nur Fadilah Bakri Papriani, Nada Pertiwi Pattinaja, Yvonne I. Pattipeilohy, Christian Ernsz Paulangan, Yunus P. Payapo, Muhammad Zia Ulhaq Pirhel, Pirhel Pisi Bethania Titalessy Popi Ida Laila Ayer Putra, Leonardus Sandy Ade Rachim , Armansyah Ramadei, Yohana RR. Ella Evrita Hestiandari Santinia Andiva Pramesti Sara Umbekna Sara Umbekna Sitti Rosnafi’an Sumardi Sonbait , Lukas Yowel Suarni. S Tomasila, Leopold A. Tommi Tommi, Tommi Tubur , Herman Wafom Umbekna , Sara Umbekna, Sara Uria , Darmawanto Wambrauw, Daniel Z.K. Way, Jufentus Ronaldo Widati , Agatha Wahyu Winda A F Butar butar Winda Ade Fitriya B Yofreds Tanamal Yulindra M. Numberi Yuminarti , Umi