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Kombinasi Principal Component Analysis dengan Algoritma K-Means untuk Klasterisasi Data Stunting Gladys Fouriza Ibanez; Giri Wahyu Wiriasto; Rosmaliati
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1977

Abstract

Dompu Regency in West Nusa Tenggara ranks as the fourth highest regency in terms of stunting prevalence among toddlers in the NTB province in 2022, with a rate of 34.5%. This study utilizes data from the Dompu Regency Health Office in 2023, covering 81 villages and six variables that influence the prevalence of stunting. The objective of this research is to determine and understand the characteristics of areas based on stunting factors in Dompu Regency using the K-Means Clustering method combined with Principal Component Analysis (PCA). The K-Means method produces clusters that represent areas with different characteristics, derived from the data reduction results of PCA, which form the principal components. The optimization of the number of clusters using the Elbow method indicates 3 clusters, consisting of Zone Type 1 with 42 villages, Zone Type 2 with 12 villages, and Zone Type 3 with 27 villages. Subsequently, an evaluation phase using the Silhouette method resulted in 2 clusters: Zone Type 1 with 54 villages and Zone Type 2 with 22 villages, with a Silhouette Score of 0.53, indicating a fairly good cluster structure. PCA produced two principal components with the highest eigenvalues, each explaining 58.7% and 14.28% of the variance, with a cumulative variance of 72.9%. This demonstrates that these two principal components can effectively represent the factors influencing stunting prevalence in Dompu Regency.
Utilization of Biogas Energy for Pasteurization in Sembalun Mushroom Initiative Zubaidah, Teti; Rosmaliati; Rokhmat, Joni; Muntari; Niseng, Zakee; Nurcahaya; Saputra, Ramdani; Akbar, Lalu Muhamad Roviq; Gunada, I Wayan; Hidayat, X Zardht Alex
Unram Journal of Community Service Vol. 6 No. 3 (2025): September
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i3.1174

Abstract

The Sembalun Mushroom Initiative aims to strengthen food security and resilience to disasters in Sembalun Bumbung and circumstance villages through the utilization of biogas energy for the pasteurization process of mushrooms. These areas are prone to disasters, making the supply of food and sustainable energy a major challenge. The project utilizes cow dung waste as an environmentally friendly biogas source to support pasteurization and mushroom cultivation. Traditionally, mushroom pasteurization processes still use firewood, which triggers deforestation, high carbon emissions, and health risks from smoke. The community service team from the University of Mataram has developed biogas technology as an alternative solution. The biogas installation at the At-Tazkiyah Islamic Boarding School was completed in May 2024 and began operating in July 2024, thereafter a mushroom house has been built for mushroom cultivation in early 2025. During this community service project, a gas pasteurization system is installed and used for pasteurization, followed by training and capacity building for the community in utilizing green energy sources. The aim is to introduce a transition to environmentally friendly technologies, as well as to support innovation, sustainability, and community engagement. The activities are an international collaboration between the Postgraduate Program and the Faculty of Engineering at University of Mataram and the Fatoni University in Thailand. It is expected to expand Unram's international exposure and strengthen cooperation between countries.