Cluster Analysis of Indonesian Province Based on Household Primary Cooking Fuel Using K-Means

International Conference on Information Technology and Digital Applications

计算机科学

Huda, S.N.^1

Dept. of Informatics, Universitas Islam Indonesia, Yogyakarta, Indonesia^1

关键词: Cooking fuels;    Google map api;    Government IS;    Indonesia;    Indonesians;    K-means method;    Primary fuels;    Wood burning;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/185/1/012016/pdf
DOI  :  10.1088/1757-899X/185/1/012016

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Each household definitely provides installations for cooking. Kerosene, which is refined from petroleum products once dominated types of primary fuel for cooking in Indonesia, whereas kerosene has an expensive cost and small efficiency. Other household use LPG as their primary cooking fuel. However, LPG supply is also limited. In addition, with a very diverse environments and cultures in Indonesia led to diversity of the installation type of cooking, such as wood-burning stove brazier. The government is also promoting alternative fuels, such as charcoal briquettes, and fuel from biomass. The use of other fuels is part of the diversification of energy that is expected to reduce community dependence on petroleum-based fuels. The use of various fuels in cooking that vary from one region to another reflects the distribution of fuel basic use by household. By knowing the characteristics of each province, the government can take appropriate policies to each province according each character. Therefore, it would be very good if there exist a cluster analysis of all provinces in Indonesia based on the type of primary cooking fuel in household. Cluster analysis is done using K-Means method with K ranging from 2-5. Cluster results are validated using Silhouette Coefficient (SC). The results show that the highest SC achieved from K = 2 with SC value 0.39135818388151. Two clusters reflect provinces in Indonesia, one is a cluster of more traditional provinces and the other is a cluster of more modern provinces. The cluster results are then shown in a map using Google Map API.