Article Per Year (5 Year)
p-Index From 2019 - 2024
1.44
P-Index
This Author published in this journals
All Journal Ulil Albab Jurnal Sains dan Teknologi ULIL ALBAB International Journal of Multidisciplinary Approach Research and Science Gudang Jurnal Multidisiplin Ilmu Jurnal Riset Multidisiplin dan Inovasi Teknologi
Abdul Muin
Universitas Negeri Jakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Sains dan Teknologi

 1 
Pemanfaatan Sistim Informasi Geografi Untuk Analisis Jarak Jangkauan Pelayanan Fasilitas Kesehatan di Kota Ambon Abdul Muin; Heinrich Rakuasa
INSOLOGI: Jurnal Sains dan Teknologi Vol. 2 No. 4 (2023): Agustus 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v2i4.2235

Abstract

Ambon City is the most populous city in Maluku, and accessibility is one of the main challenges in meeting health service needs. To overcome this problem, it is necessary to conduct an in-depth analysis of the distance of health facility services in Ambon City.  This study uses a spatial analysis method to map the location and distance between major health facilities such as hospitals, health centers, and clinics throughout Ambon City. The results show that there are diverse spatial patterns in the coverage of health facilities in Ambon City. The spatial pattern of health facility coverage in Ambon City is classified into 5 classes, namely very close covering 7,586, 42 ha, close covering 10,172, 23 ha, medium covering 3,697, 07 ha, far covering 3,473.59 ha and very far covering 7,644, 36 ha. The results of this study also show that Teluk Ambon sub-district has a very large percentage of area at the very close, close and very far reach levels of health facilities compared to other sub-districts in Ambon City, while the area at the medium and far reach levels is dominated by Nusaniwe sub-district which has a larger percentage of area than other sub-districts. This study makes an important contribution to understanding the spatial pattern of health facility coverage in Ambon City and provides a basis for spatially-based decision-making.
Pemetaan Kerentanan Kebakaran Hutan di Pulau Buru, Provinsi Maluku Berdasarkan Fire Hotspot Abdul Muin; Heinrich Rakuasa
INSOLOGI: Jurnal Sains dan Teknologi Vol. 2 No. 4 (2023): Agustus 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v2i4.2256

Abstract

Buru Island is one of the areas in Maluku Province where forest fires are common. The prolonged summer season, flammable vegetation and the practice of clearing agricultural land and settlements by burning can also trigger forest fires on Buru Island. This research uses fire hotspots in 2019-2023 obtained from the Fire Information for Resource Management System (FIRMS) and analyzed using the Kernel Density method in Arc GIS software. The results showed that in 2019 there were 224 fire hotspots spread across Buru Island, in 2020 there were 30 fire hotspots, in 2021 there were 31 fire hotspots, in 2022 there were 31 fire hotspots, in 2022 there were 32 fire hotspots and in 2023 there were 23 hotspots spread across Buru Island. The results also show that the level of forest fire vulnerability in the very low vulnerability class has an area of 543,868.30 ha or 63.76%, low vulnerability class of 201,449.44 ha (23.62%), vulnerability class of 83,344.31 (9.77%), and high vulnerability class of 24,327.01 ha or 2.85% of the total area of Buru Island. The results of the study are expected to help the local government in future forest fire disaster mitigation efforts.
Co-Authors Glendy Somae Heinrich Rakuasa Philia Latue Theochrasia Latue