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Pemetaan Zona Bahaya Banjir dengan Pemodelan Hidrodinamik dan Geographic Information System (GIS) di DAS Noelamabi Hilir Kabupaten Kupang Nama, Arnoldus; Fallo, Yunus; Hayer, Yacob Victor
JUTEKS : Jurnal Teknik Sipil Vol 9 No 2 (2024): JUTEKS (Jurnal Teknik Sipil)
Publisher : P3M- Politeknik Negeri Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32511/juteks.v9i2.1331

Abstract

Daerah aliran sungai (DAS) Noelamabi merupakan salah satu daerah yang terdampak genangan banjir tahun 2021 akibat siklon tropis Seroja. Banjir akibat siklon tropis Seroja merusak sejumlah rumah di sepanjang bantaran sungai khususnya bagian hilir DAS. Tujuan dari penelitian ini adalah untuk membuat peta zona terdampak genangan banjir di bagian hilir DAS Noelamabi dengan sistem informasi geografis (GIS) dan model hidrodinamik Hec-RAS. Citra DEMNAS digunakan sebagai parameter utama untuk menghasilkan data seperti jaringan sungai, batas daerah aliran sungai, garis tanggul sungai, jalur aliran, dan nilai kekasaran Manning’s. Prediksi debit banjir puncak periode ulang 25, 50 dan 100 tahun menggunakan Hidrograf satuan sintetik (HSS) Nakayatsu. Hasil simulasi model HEC-RAS menunjukkan daerah yang terdampak genangan banjir luasannya tidak signifikan dan hanya berada di bagian hilir sungai dekat muara. Hanya 2 (dua) Desa atau Kelurahan terdampak genangan yaitu Kelurahan Oesao dan Kelurahan Babau. Luas daerah terdampak genangan banjir untuk masing-masing periode ulang 25 tahun, 50 tahun dan 100 tahun adalah 175,659 ha, 275,535 ha dan 365,167 Ha.
Optimalisasi Drone Dan GIS Untuk Pemetaan Wilayah Dan Penegasan Alamat Di Kelurahan Pasir Panjang, Kota Kupang: Optimization Of Drones And GIS For Area Mapping And Address Affirmation In Pasir Panjang Village, Kupang City Hayer, Yacob Victor; Nama, Arnoldus; Jawal Nope, Fabi
Media Ilmiah Teknik Sipil Vol. 13 No. 2 (2025): Media Ilmiah Teknik Sipil
Publisher : ​Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of drone technology and Geographic Information Systems (GIS) has provided new opportunities in mapping and address verification. This study aims to optimize the use of drones and GIS for regional mapping and address confirmation in Pasir Panjang, Kupang City. The methodology includes collecting spatial and attribute data, processing aerial imagery using photogrammetric software, and creating geospatial maps with attribute information. The study identifies key challenges such as the lack of standardized address naming, unnumbered buildings, and unclear administrative boundaries. The results highlight the effectiveness of drone-integrated GIS in producing accurate and up-to-date geospatial data, supporting urban planning and public services. This research also provides recommendations for policy improvements in address standardization and urban management in Kupang City.
Analisis Penentuan Jenis Pondasi Konstruksi Gedung Menggunakan Data CPT: Analysis Of Foundation Type Determination For Building Constructions Using CPT Data Daud, Deasi Delfiani Anatasia Arisandi; Mauta, Matelda Christiana; Tuati, Anie Adrianti; Hayer, Yacob Victor
Media Ilmiah Teknik Sipil Vol. 13 No. 3 (2025): Media Ilmiah Teknik Sipil
Publisher : ​Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/mits.v13i3.10479

Abstract

The increase in building infrastructure development in an area is certainly unavoidable. Soil, which is an important part of infrastructure development, certainly has provisions as a requirement to be used as a loan or good bearing capacity to receive the load above it so that it can maintain the stability of the construction above it. Not all soils have a stable bearing capacity for the construction above it. Soil investigations need to be used to determine the bearing capacity of the soil, so that the type of building construction foundation can be determined appropriately according to the CPT test data. The research location is in the Kupang Regency area and consists of 7 data collection locations. Soil physical test data is classified by AASTHO method and CPT test data is classified by soil type using qr and Fr relationship graph according to Robertson and Campanella and soil consistency according to Terzaghi and Peck. Based on the CPT data, the appropriate depth and type of foundation are determined. The CPT test results were then analysed to obtain the Permitted Bearing Capacityand Foundation Bearing Capacity values for each point. The analysis results show that all 7 locations have a foundation depth of  ≥ 6 m and the appropriate foundation type is a mini pile foundation with a cylindrical size of Ø 0.50 m and a triangular size of 0.20 x 0.20 m.