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All Journal SAINSMAT LaGeografiA Nadwa : Jurnal Pendidikan Islam Jurnal Pendidikan Islam Indonesian Jurnal Environmental Science Kemudi LISAN AL-HAL: Jurnal Pengembangan Pemikiran dan Kebudayaan Jurnal Eksplorasi Akuntansi (JEA) PENGABDI: Jurnal Hasil Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Ekonomi dan Bisnis SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Seminar Nasional Hasil Penelitian LP2M UNM JICS : Journal Of International Community Service JUAN: Jurnal Pengabdian Nusantara Future Space: Studies in Geo-Education MANAGIERE: Journal of Islamic Educational Management Indonesian Journal of Applied Geography
Arfandi Arfandi, Arfandi
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The Ability Of Green Open Space In Reducing Green House Gas (GHG) Emissions On Jalan Hertasning, Makassar City Arfandi, Arfandi; Yusuf, Muhammad; Nasrul, Nasrul; Amda, Misdar; Hasja, Aulia Diar; Maru, Rosmini
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132620842024

Abstract

Green Open Spaces (RTH) are urban areas filled with vegetation that support ecological benefits, such as reducing greenhouse gases by absorbing CO₂ through photosynthesis. Although RTH accounts for 66 percent of the area along Jalan Hertasning, its effectiveness in absorbing CO₂ emissions from motor vehicles is not fully understood. Given the high volume of vehicles, especially during peak traffic hours, a deeper understanding of the RTH's capability to reduce CO₂ emissions is necessary. This study aims to measure CO₂ emissions from transportation, assess the RTH's ability to absorb CO₂, and develop effective RTH enhancement strategies. The research location is Jalan Hertasning in Makassar City. The method used in this study is descriptive with a quantitative approach. Results show that CO₂ emissions during peak hours cannot be fully absorbed by the existing 508 Trembles trees, which have a total absorption capacity of 1,652.07 kg/hour and cover an area of 4.4 hectares, or 75.9 percent of Jalan Hertasning. There remains 3,168.59 kg/hour of CO₂ emissions from the total 4,820.66 kg/hour during peak traffic. In addition to Trembles trees, there are other trees like Palm and Terminalia mantaly, which are still growing and not included in this study but could increase the RTH's absorption capacity in the future. The high CO₂ emissions from motor vehicles significantly impact air quality and public health. It is recommended that the government actively conduct environmental awareness campaigns focused on reducing CO₂ emissions and the importance of RTH. These campaigns can be carried out through social media, posters along Jalan Hertasning, and community outreach to reduce CO₂ levels by increasing public participation in maintaining RTH.
The Relationship of Rainfall Variability to Flood Events Using Google Earth Engine (GEE) In Makassar City Ali, Mutmainnah; Nasrul, Nasrul; Nyompa, Sukri; Arfandi, Arfandi; Maru, Rosmini
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141709192025

Abstract

Indonesian people are most harmed by flood hydrometeorological disasters, which cause material and immaterial losses. Floods often occur in some areas of Makassar City due to high rainfall and the high density of people and buildings, especially in the rainy season. This study aims to find out: the rainfall variability in the city of Makassar for 7 years (2017-2023), a map of flood inundation areas in the city of Makassar for 7 years (2017-2023), and the relationship between rainfall variability to flood events using Google Earth Engine (GEE) in the city of Makassar.  This study is quantitative descriptive, using correlation and regression analysis between rainfall variables and flood inundation area.  A cloud-based processing approach. CHIRPS data was used for rainfall analysis in Makassar City (2017-2023), and Sentinel 1 to analyze the distribution of flood inundation. The results showed that 1) rainfall variability occurred in January, February, March, November, and March. With the highest coefficient of variance value with a value of 73% in November. 2) floods that often occur in the sub-districts of Manggala, Biringkanaya, Tamalate, Tamalanrea, and Rappocini. 3) There is a significant relationship between rainfall and events in Makassar City. Spatially there were 12 flood events, temporal flood events for 7 years (2017-2023) occurred in December, January, and February.    The parameters in this study are limited to rainfall and flood inundation, for that the next study is to add various relevant parameters based on Google Earth Engine.
Co-Authors Abdul Muis Agus Supriyadi Ahmad Rayhan Ali, Mutmainnah Amda, Misdar Amdah, Misdar Andi Zulkifli Nusri Andjar, Febry Jein Bahtiar Hamar BAKHRANI RAUF Djaddang, Syahril Edy, Safrin Evi Mufrihah Zain Failu, Ismail Fionasari, Dwi Hasja, Aulia Diar Hervina Hervina Imba, Syamsunardi Imba Jamil, Ahmad Kandiri, Kandiri M Nur, Medar Makkulau, Batari Bau Mannan, Abdul Marsanda, Suci Andriani Masykuri Masykuri Moh. Zamili, Moh. Muhammad Ansarullah S. Tabbu Muhammad Yusuf Nafi, Muna Khoirun Nasrul Nasrul Nur Aisyah Nurhani Nurhani Nuryulianti, Nuryulianti Oksep Adhayanto Oktarina, Julia Prihandoko, Nugroho Dwi Prihandoko, Nurgroho Dwi Putri Maharani Putri, Anisa Amelia Riska Riska Riska, Hasnita Rosmini Maru Rusdi Rusdi Sahade Samputri, Salma Sarlin, Paige Sukri Nyompa Sulaiman Zhiddiq, Sulaiman Tripaldi, Agus Wardani, Elsya Aulia Wijiastuti, Retno Dewi Zulkifli, Sofyan