Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JISO : Journal of Industrial and Systems Optimization Journal of Social Research
Syafe’i, Arie Dipareza
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Social Sciences Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ESTIMASI SERAPAN KARBON MENGGUNAKAN INVENTARISASI PADA RUANG TERBUKA HIJAU DI WILAYAH PERKOTAAN KABUPATEN JEMBER Putri Kinanti, Sang Ayu; Syafe’i, Arie Dipareza
JISO : Journal of Industrial and Systems Optimization Vol. 8 No. 1 (2025): Juni 2025
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v8i1.118-127

Abstract

ABSTRAK Kabupaten Jember memiliki luas 3.306,689 km², namun hanya memiliki ruang terbuka hijau (RTH) publik sebesar 0,02%, jauh di bawah ketentuan minimum 20% sesuai peraturan tata ruang nasional. RTH memiliki peran penting dalam menyerap emisi karbon dioksida (CO?) dari aktivitas manusia, sehingga perlu dilakukan perencanaan dan pemetaan yang matang. Penelitian ini bertujuan untuk menganalisis potensi penyerapan emisi CO? oleh RTH dari tiga aspek, yaitu teknis, lingkungan, dan ekonomi, guna merumuskan strategi pengembangan RTH yang optimal di wilayah perkotaan Kabupaten Jember. Metode yang digunakan meliputi inventarisasi luas aktual RTH, penghitungan emisi, analisis kemampuan daya serap, serta pemodelan box model untuk estimasi beban emisi. Hasil penelitian menunjukkan bahwa sektor transportasi merupakan penyumbang emisi terbesar (76%), dengan beban tertinggi terdapat di Kecamatan Kaliwates. Strategi pengembangan RTH menggunakan satu jenis pohon tertentu terbukti paling optimal dengan daya serap 7.710 g CO?/detik dan nilai manfaat ekonomi Rp951.589.615 per hektar dalam 10 tahun. Oleh karena itu, strategi ini direkomendasikan sebagai pendekatan yang efektif dan efisien dalam mendukung mitigasi perubahan iklim di Kabupaten Jember. ABSTRACTJember Regency has a total area of 3,306.689 km² but only provides 0.02% of public green open space (GOS), far below the nationally mandated minimum of 20% based on spatial planning regulations. Green open space plays a crucial role in absorbing carbon dioxide (CO?) emissions from human activities, highlighting the need for comprehensive planning and mapping. This study aims to analyze the CO? absorption potential of GOS from three perspectives: technical, environmental, and economic, to formulate an optimal GOS development strategy for the urban areas of Jember Regency. The methods include inventorying existing GOS areas, emission calculations, absorption capacity analysis, and using the box model approach to estimate emission loads. The results show that the transportation sector is the largest contributor to emissions (76%), with the highest load recorded in Kaliwates District. A development strategy involving a single tree species was found to be the most optimal, with an absorption capacity of 7,710 g CO?/second and an economic benefit of IDR 951,589,615 per hectare over a ten-year period. Therefore, this strategy is recommended as an effective and efficient approach to support climate change mitigation efforts in the urban areas of Jember Regency.
Analysis of Flood Risks on The Power Distribution System Infrastructure at Pt PLN (Persero) Distribution Banten Due to Climate Change Abyati, Inez Carissa; Syafe’i, Arie Dipareza
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3069

Abstract

The electricity distribution system in the work area of PT PLN (Persero) Banten Distribution Main Unit is facing increasing challenges due to the increasing frequency and intensity of floods affected by climate change. Historical data show that power outages due to natural disasters contribute significantly to the unreliability of distribution systems, with flood events occurring in seasonal patterns and tending to be spatially extensive. This condition requires a comprehensive understanding of the factors that cause flooding and the level of flood vulnerability in the area where the electricity infrastructure is located, as a basis for more targeted risk management efforts. This study uses a quantitative approach based on spatial analysis to identify and analyze flood vulnerability. Flood risk assessment is carried out by integrating four main parameters, namely slope slope, rainfall, land use, and soil type, each of which is weighted according to the level of influence on the occurrence of flooding. Rainfall data was analyzed using historical data for the period 2014–2024 as well as climate projections with the SSP 2-4.5 and SSP 5-8.5 Scenarios. All parameters are processed using the Geographic Information System (GIS) to produce flood vulnerability maps and identify the level of risk to the electricity infrastructure. The results showed that flood vulnerability in the study area was predominantly influenced by topographic factors, followed by soil type, while rainfall and land use had a relatively balanced level of influence. Flood risk mapping shows variations in vulnerability levels across different climate scenarios. In 2030, areas with the Vulnerable Risk and Moderately Vulnerable risk classes dominate, while in 2050 there will be a shift with the increasing dominance of Moderately Vulnerable Risk in both SSP scenarios. The integration of flood risk maps with infrastructure data shows that most distribution substations are located in medium to high flood risk zones, which confirms the importance of flood risk mapping as a basis for managing electricity infrastructure in vulnerable areas flooding.
Co-Authors Abyati, Inez Carissa Putri Kinanti, Sang Ayu