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All Journal Journal of Novel Engineering Science and Technology Jurnal Pengabdian kepada Masyarakat (Nadimas)
Anyela Aprianti
IKIP Muhammadiyah Maumere
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Environmental Science Health Professions Mechanical Engineering Public Health Social Sciences

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SOSIALISASI PENERAPAN SANITASI TOTAL BERBASIS MASYARAKAT (STBM) UNTUK PILAR CUCI TANGAN PAKAI SABUN MELALUI PEMBUATAN FASILITAS CUCI TANGAN DI DESA BOLA Elisabeth Dua Rika; Anyela Aprianti
Jurnal Pengabdian kepada Masyarakat (NADIMAS) Vol 2 No 1 (2023): Jurnal Pengabdian kepada Masyarakat (Nadimas)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.079 KB) | DOI: 10.31884/nadimas.v2i2.15

Abstract

Community-Based Total Sanitation (STBM), includes 5 pillars, namely: stopping open defecation, washing hands with soap, managing drinking water, and household food, securing household waste, and securing household liquid waste. One of the pillars that have not been widely studied was the habit of washing hands with soap and running water in the people of Bola Village. The behavior of washing hands with soap is a behavior to prevent the disease from entering our bodies. In the Thematic Real Work Lecture (KKNT) method, we have held deliberations with the Dusun Bola community to carry out these activities. The activities we carry out are offline-based, namely by making leaflets, providing hand washing facilities, and socializing on how to wash hands properly and correctly. the behavior of washing hands properly and correctly can prevent various diseases.
Comparison of K-Means Algorithm and DBSCAN on Aftershock Activity in the Flores Sea: Seismic Activity 2019-2022 Anyela Aprianti; Adi Jufriansah; Pujianti Bejahida Donuata; Azmi Khusnani; John Ayuba
Journal of Novel Engineering Science and Technology Vol. 2 No. 03 (2023): Forthcoming Issue - Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i03.393

Abstract

This study seeks to determine whether the clustering method can be used to analyze Flores Sea earthquake activity. In this investigation, the BMKG Repo serves as the source for real earthquake vibration data collection. The stages of this research include preparing the data in CSV format and then preparing the data to eliminate useless data by identifying missing data. On the basis of the research data, it was determined that the K-Means and DBSCAN methods are used to determine the clustering method for analyzing earthquake activity. In addition, the data is depicted using a graphical Elbow method so that we can determine the number of clusters of aftershocks in the Flores Sea. The results of the visualization of aftershocks that followed earthquakes in the Flores Sea between 2019 and 2022 revealed three distinct groups of earthquake source depths: 33 to 70 kilometers, 150 to 300 kilometers, and 500 to 800 kilometers. In terms of the shilhoute index parameter, the K-Means algorithm is preferable to the DBSCAN algorithm when clustering results are used to analyze earthquake activity.
Co-Authors Adi Jufriansah Azmi Khusnani Donuata, Pujianti Bejahida Elisabeth Dua Rika John Ayuba