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One major river flowing through Bekasi City is Bekasi river. Total extent of the Bekasi watershed is about 39.045 ha, in 2002 with rainfall of 250 mm for 8 hours caused about 138 ha flooded in residents area for 2-3 days in Bekasi City, more extremely in 2005 with rainfall only 127 mm for 6 hours caused about 164 ha flooded in residents area for 3 days. This evidence showed that flood problem in Bekasi City is become worse, and seem to be more horrifying in the future. Therefore, the flood pro Trihono Kadri; Naik Sinukaban; Hidayat Pawitan; Suria Darma Tarigan
Forum Pasca Sarjana Vol. 34 No. 1 (2011): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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One major river flowing through Bekasi City is Bekasi river. Total extent of the Bekasi watershed is about 39.045 ha, in 2002 with rainfall of 250 mm for 8 hours caused about 138 ha flooded in residents area for 2-3 days in Bekasi City, more extremely in 2005 with rainfall only 127 mm for 6 hours caused about 164 ha flooded in residents area for 3 days. This evidence showed that flood problem in Bekasi City is become worse, and seem to be more horrifying in the future. Therefore, the flood problem needs an extremely great attention. The objectives of the research is (1) analysis watershed condition; (2) analysis of the causes of flood over Bekasi City from the perpective of hydrology and hydraulic; (3) plan of Bekasi watershed management to reduce flood risk in Bekasi City. To obtain the purposes of this research, the method of analysis is devided into four main subjects: (1) analysis of watershed condition using SCS method; (2) hydrology analysis using hydrology modeling HEC-HMS; (3) river flow capacity using hydraulic modeling HEC-RAS and (4) plan of scenarios to reduce flood risk. There are four scenarios to overcome the flood problems: (1) similarly with government plan 2010;(2) managing Bekasi watershed area with conservation tillage; (3) build water retarded structure entire of watershed and;(4) combination of second and third scenarios. The research results shown that river flow capacity only 462 m3/s is not enough to flow the discharges, otherwise the land use is change and increasing the run off in upstream. Based on the problems, it is expected to overcome the flood problem by managing Bekasi watershed area with conservation tillage and build water retarded structure. It will reduce 28.58% of the discharge run off in 2020. Key words: flood, land use changing, watershed management

Penerapan Algoritma AHP untuk Prioritas Penanganan Bencana Banjir Mohammad Imamuddin; Trihono Kadri
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2006
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Memahami kondisi topografi, penggunaan dan penataan lahan, curah hujan, dll., maka timbulnya masalah banjir di berbagai daerah di Indonesia sulit untuk dihindari. Untuk itu masyarakat harus dipersiapkan dapat hidup layak pada daerah bencana banjir dan diperlukan strategi dan manajemen yang tepat untuk mempersiapkan hal tersebut.Untuk penyusunan program kegiatan rehabilitasi daerah bencana banjir diperlukan (1) inventarisasi lokasi dan besaran bencana banjir, (2) inventarisasi dampak sosial, lingkungan dan ekonomi bencana banjir, (3) penyusunan kriteria dalam penanganan bencana banjir, (4) penyusunan prioritas penanganan bencana banjirTulisan ini membahas satu dari berbagai metoda yang ada untuk memprioritaskan daerah rawan banjir dengan skala tertentu dan implementasinya untuk pengambil kebijakan para pemimpin dalam menetukan prioritas penanganan banjir.Kata Kunci: AHP, Banjir, Prioritas penangganan

Penerapan Sistem Informasi Geografis Dalam untuk Mereduksi Kerugian Akibat Banjir Trihono Kadri
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2007
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Identifikasi Faktor-Faktor Yang Mempengaruhi Keterlambatan Proyek Infrastruktur Kereta Cepat Jakarta-Bandung Yurianto Yurianto; Trihono Kadri
INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) Vol. 3 No. 1 (2020): INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CES
Publisher : Universitas Trisakti

High speed trains are designed with a speed of more than 350 km/ hour. High speed trains in Indonesia were built by PT Kereta Cepat Indonesia China (KCIC). The route served from Halim station in Jakarta to Tegal Luar Sation, which is located in Bandung district, has a length of 142.3 km. The construction of the fast train is divided into 4 (four) sections including sections 1, 2, 3 and 4. This fast train line consists of an elevated, tunnel and subgrade. Some construction works often experience delays due to complexity, land availability, design delays and availability of resources. Implementation time is an important factor in project management besides cost and quality. There are several factors that hinder the completion of the Jakarta-Bandung fast train project, so it is necessary to conduct a study on the inhibiting factors and solutions to minimize delays. The research method used is AHP weighting analysis. Based on the analysis and discussion, it can be concluded that from 61 potential aspects of the cause of the delay, there are 11 variables that affect the implementationtime of the Jakarta-Bandung fast train infrastructure development project based on the AHP ranking, including constraints in land acquisition for infrastructure buildings (63,144%), scheduling very strict projects by owners (61,771%), work order plans that are not well structured / integrated (61,570%), unavailability (materials, tools, labor) as needed (57,216%), shop drawings are not ready on time, no opportunity to learn (56,266%), changes in design / work details during implementation (56,170%), quite complicated project coordination (54,851%), negligence / delay by work sub contractors (53,081%), unclear technical specifications and less firm because it is too general (52,837%), there is a development permit procedure that is dip ery difficult for various parties (50,370%) and unfavorable weather conditions (49,680%)

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