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All Journal Jurnal Teknik Pengairan: Journal of Water Resources Engineering Semesta Teknika Nusantara Hasana Journal
Nanda Melyadi Putri
Program Studi Teknik Sipil, Fakultas SAINS Dan Teknologi, Universitas Teknologi Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering Nursing

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Analisis Prioritas Rehabilitasi Bendung:Studi Kasus Bendung Cokrobedog, Gamping, Pendowo dan Pijenan di Kali Bedog Putri, Nanda Melyadi
Semesta Teknika Vol 21, No 1 (2018): MEI 2018
Publisher : Semesta Teknika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.211206

Abstract

The government provided Special Allocation Budget via APBD for rehabilitation activities in order to increase the function and physical condition of the weirs. The rehabilitation performances must be run stage by stage due to the limitation of allocation budget, however, it would be continual. Hence the analysis of rehabilitation priority was needed. The case study of this research was the determination of rehabilitation priority towards the weirs of Cokrobedog, Gamping, Pendowo, and Pijenan. These four weirs were at Kali Bedog, Daerah Istimewa Yogyakarta.The method used for priority analysis in this research was Multi Attribute Decision Making method (MADM), consisted of AHP, ELECTRE, SAW, TOPSIS, and WP. The criterias used were the infrastructure conditions, the availability of water, and the command areas by the percentage weighting of assessment criteria at 57 , 29 and 14. The damage percentage of Gamping was 44.66%, ranked as serious damage. The damage percentage of Cokrobedog, Pendowo and Pijenan for each of it was 36.11%, 33.57% and 30.30%, ranked as average damage. The order of priority rehabilitation of dams tend not begin with the largest command area. TOPSIS method is a method most appropriate MADM applied in the prioritization of rehabilitation because it has a significantly different end value.
Efektivitas Penerapan Teknologi Pada IPAL Komunal Ditinjau Dari Parameter BOD, COD, dan TSS Nanda Melyadi Putri; Fibi Hardiansyah
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 13 No. 2 (2022)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2022.013.02.05

Abstract

Teknologi yang berbeda pada IPAL komunal memberikan pengaruh yang berbeda pula terhadap kadar parameter BOD, COD dan TSS di tampungan inlet dan outlet. Penurunan efektivitas kadar BOD, COD dan TSS dihitung dengan menggunakan rumus efisiensi removal. Hasil analisis efektivitas kadar parameter untuk BOD IPAL Gambiran adalah sebesar 24,01%, sedangkan pada IPAL Mendiro sebesar 70,72% di outlet awal dan 95,85% di outlet akhir. Efektivitas penurunan kadar COD pada IPAL Gambiran adalah sebesar 45%, sedangkan IPAL Mendiro mengalami penurunan sebesar 78,33% di outlet awal dan 85,83% di outlet akhir. Nilai efektivitas kadar TSS pada IPAL Gambiran sebesar 40%. Pada saat yang sama, IPAL Mendiro mengalami penurunan kadar yang cukup tinggi yaitu sebesar, 94,37% di outlet awal dan 98,12% di outlet akhir. Adanya tambahan teknologi RBC pada IPAL Mendiro memberikan kontribusi yang cukup besar dalam menurunkan kadar parameter yang ditinjau. Teknologi RBC mampu menurunkan 85,84% BOD, 34,61% COD dan 66,66% TSS. Efektivitas RBC dihitung berdasarkan nilai pada outlet awal dengan outlet akhir.
PEMETAAN ZONASI TINGKAT KERAWANAN BANJIR BERBASIS SISTEM INFORMASI GEOGRAFIS KELURAHAN KLITREN, GONDOKUSUMAN, KOTA YOGYAKARTA Nanda Melyadi Putri; Acep Muhamad Solehudin
Nusantara Hasana Journal Vol. 5 No. 8 (2026): Nusantara Hasana Journal, January 2026
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i8.1909

Abstract

Klitren Village, located in Gondokusuman District, Yogyakarta City, is categorized as a flood-prone area, particularly during the rainy season. This study aims to map the flood vulnerability level in Klitren Village using a Geographic Information System (GIS) approach. Six parameters were analyzed to determine flood vulnerability: land elevation, slope, soil type, land use, rainfall, and river buffer. Both primary and secondary data were utilized and processed using ArcGIS 10.8 software. The analysis involved scoring, weighting, and overlaying the spatial parameters. The results show that the Klitren area is classified into three flood vulnerability zones: low, moderate, and high. The most influential parameters affecting flood vulnerability are land use and river buffer. The resulting flood vulnerability map is expected to serve as a reference for spatial planning and disaster mitigation efforts in densely populated urban areas such as Klitren Village.
Co-Authors Acep Muhamad Solehudin Fibi Hardiansyah