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All Journal Jurnal Alami : Jurnal Teknologi Reduksi Risiko Bencana Jurnal Sains dan Teknologi Mitigasi Bencana
Mr Prihartanto
Badan Pengkajian dan Penerapan Teknologi
Computer Science & IT Earth & Planetary Sciences Education

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Journal : Jurnal Sains dan Teknologi Mitigasi Bencana

 1 
PERKIRAAN WAKTU KEDATANGAN BANJIR BERDASARKAN ANALISIS EMPIRIK REKAMAN DATA SISTEM PERINGATAN DINI BANJIR KOTA BEKASI Mr Prihartanto
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 14 No. 1 (2019): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v14i1.3558

Abstract

Flood disaster that occur in the Kali Bekasi watershed often cause damage of property and casualties. The watershed is divided into two main parts namely upstream and downstream watersheds which are limited by Bekasi Dam. High rainfall in the upstream often causes flooding in Pondok Gede Permai Estate, Bekasi City. To improve community preparedness, a flood early warning system (FEWS) has been installed which consists of 5 monitoring stations along the Cileungsi and Cikeas Rivers in 2017. The main question that needs to be answered in this paper is how long the upstream flood peak will reach community settlements ? Based on the recorded data on the LEWS instrument, the flood peak travel time from the upstream station to the affected area can be calculated empirically. The results ofthe time calculation can be used by stakeholders to carry out evacuation after an early warning is given. The parameter used in this analysis are the river water level at several monitoring stations on the Cileungsi River, namely: Cibongas Irrigation Dam,WIKA Bridge and Pondok Gede Permai.Bencana banjir yang terjadi di DAS Bekasi sering menimbulkan kerugian harta benda maupun korban jiwa. DAS ini terbagi atas dua bagian utama yaitu DASbagian hulu dan bagian hilir yang dibatasi oleh Bendung Bekasi. Curah hujan yang tinggi di DAS bagian hulu sering menimbulkan banjir di Perumahan Pondok Gede Permai, Kota Bekasi. Untuk meningkatkan kesiapsiagaan masyarakat di perumahan tersebut, maka telah dipasang sistem peringatan dini banjir (Flood Early Warning System/LEWS) yang terdiri dari 5 stasiun pemantauan di sepanjang Sungai Cileungsi dan Cikeas pada tahun 2017. Pertanyaan utama yang perlu dijawab dalam makalah ini adalah berapa lama puncak banjir di bagianhulu akan mencapai permukiman masyarakat ? Berdasarkan basis data yang telah terekam pada instrument LEWS tersebut, waktu perjalanan puncak banjir dari stasiun hulu menunju area terdampak dapat dihitung secara empirik. Hasil perhitungan waktu tersebut dapat dimanfaatkan oleh para pemangku kepentingan untuk melakukan evakuasi setelah peringatan dini diberikan. Parameter yang digunakan dalam analisis ini adalah tinggi muka air yang di beberapa stasiun pemantauan di Sungai Cileungsi yaitu : Dam Irigasi Cibongas, Jembatan WIKA dan Pondok Gede Permai.
PREDICTION OF MEDICAL HAZARDOUS WASTE GENERATION FROM COVID-19 PATIENT HANDLING HOSPITALS Mr Prihartanto
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 15 No. 1 (2020): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v15i1.4118

Abstract

The Covid-19 pandemic disaster has resulted in thousands peoples died and hospitalized. Handling of Covid-19 patients requires more medical equipment than normal condition, such as masks, goggles, protective clothing and so on which will increase the rate of generation of medical waste. Prediction of the total medical hazardous waste generation in Indonesia can be calculated using the prediction model of the total number of Covid-19 cases and the average generation of medical waste for each one patient. In this study, the capacity of a hazardous waste incinerator in Indonesia is also calculated to determine the time needed for waste processing. Besides, standar procedures for handling medical  hazardous waste from source to final disposal site are also needed.
REGRESION MODEL OF COVID-19 MEDICAL HARZARDOUS WASTE GENERATION BASED ON MAXIMUM BEDS CAPACITY OF REGIONAL HOSPITALS IN DKI JAKARTA Mr Prihartanto
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 15 No. 2 (2020): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v15i2.4406

Abstract

The Covid-19 pandemic disaster in DKI Jakarta has shown a significant increasing in confirmed positive cases starting in September 2020, resulting in the re-implementing of Large-Scale Social Distancing (PSBB). The main factor that led to the re-implementing of the PSBB in DKI Jakarta is the limited bed capacity in the 67 Covid-19 referal Local General Hospitals (RSUD). Handling Covid-19 patients requires more medical equipment such as masks, glasses, protective clothing and so on, which will increase the rate of medical waste generation. This study will discuss the prediction of minimum and maximum generation of Covid-19 medical hazardous waste (B3) in 67 Covid-19 referal RSUD in DKI Jakarta which can be calculated based on the maximum capacity of available isolation and ICU beds during the period 23 August - 4 October 2020 and the average of medical waste generation per patient treated. From the prediction, a regression model of increasing number of minimum and maximum medical hazardous waste produced in several Covid-19 referal RSUD in DKI Jakarta can be made. Keywords: covid-19, hazardous waste, hospital, maximum capacity, regression model.
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