Yolitta, Maya Errian (2018) Analisis Jaringan untuk Fasilitas Layanan Gawat Darurat di Kota Malang. Sarjana thesis, Universitas Brawijaya.
Abstract
Kasus gawat darurat karena kecelakaan lalu lintas merupakan salah satu penyebab kematian di daerah perkotaan yang terus mengalami peningkatan setiap tahunnya. Terdapat lima lokasi rawan kecelakaan (blackspot) di Kota Malang dengan karakteristik jalan berkepadatan tinggi, yakni Jl. Letjend. S. Priyo Sudarmo, Jl. Panglima Sudirman, Jl. Mayjen Sungkono, Jl. Kolonel Sugiono, dan Jl. S. Supriadi. Keberhasilan dalam penanganan gawat darurat tidak terlepas dari penanganan fase pra rumah sakit, yakni berupa sistem mobilisasi (transportasi) pasien menuju fasilitas pelayanan gawat darurat yang tepat dan sesuai dengan standar pelayanannya. Metode yang digunakan adalah analisis jaringan menggunakan software ArcGis pada ekstensi Network Analyst. Analisis jaringan adalah pemodelan transportasi untuk melihat hubungan antar objek yang dihubungkan oleh jaringan transportasi. Pada penelitian ini, objek yang dikaji adalah rumah sakit umum terhadap lokasi rawan kecelakaan (blackspot) di Kota Malang. Hasil penelitian menunjukkan bahwa sistem pergerakan Kota Malang pada hari Senin mengalami peningkatan arus kendaraan tertinggi saat waktu puncak pagi, siang, dan sore, sedangkan pada waktu non puncak merupakan kondisi jalan bebas hambatan. Batas area pelayanan rumah sakit umum terhadap masing-masing lokasi rawan kecelakaan (blackspot) di Kota Malang berdasarkan standar efektifitas response time 5 menit waktu perjalanan pada waktu non puncak mampu mencakup kelima blackspot, sedangkan pada waktu puncak terdapat tiga blackspot yang berada dalam area pelayanan rumah sakit umum terdekat dan dua blackspot di luar area pelayanan rumah sakit umum Kota Malang yakni blackspot Jl. Mayjen Sungkono dan blackspot Jl. S. Supriadi. Rute optimal ambulans berdasarkan waktu tempuh tercepat menuju blackspot Jl. Mayjen Sungkono yakni dari RS. Panti Nirmala dengan rute perjalanan Jl. Kebalen Wetan – Jl. Muharto – Jl. Mayjen Sungkono, serta rute optimal menuju blackspot Jl. S. Supriadi yakni dari RST. Dr. Soepraoen.
English Abstract
Emergency case caused by traffic accident is one of mortal causes in the city which increases continuously every year. There are five blackspots in Malang City with the characteristic of high traffic density, these are Letjend. S. Priyo Sudarmo Street, Panglima Sudirman Street, Mayjen Sungkono Street, Kolonel Sugiono Street, and S. Supriadi Street. The success of emergency treatment is not even beyond to pre hospital treatment phase, that is giving patient transportation service to the right Accident and Emergency department and it is well with the standard service. The research method used network analysis using ArcGis on Network Analyst extension. Network analysis is traffic modelling to monitor the connectivity between object that is connected to transportation network. This research discussed about hospitals toward blackspots in Malang City. The result showed that the traffic flow of Malang City on Monday at peak hours have increased the traffic flow at morning, noon, and afternoon, while at non-peak hours is a freeway condition. The limitation of hospital service towards every blackspot in Malang City based on the effectiveness standard of response time 5 minutes travel time at non-peak hours include five blackspots, while at peak hours include three blackspots within service area of the nearest hospital, and two blackspots outside the service area of hospital in Malang City that are Mayjen Sungkono Street and S. Supriadi Street. The optimal route of ambulance based on the fastest travel time to Mayjen Sungkono Street is from Panti Nirmala Hospital through Kebalen Wetan Street – Muharto Street – Mayjen Sungkono Street. Then, the optimal route to S. Supriadi Street is from Dr.Soepraoen Military Hospital.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FT/2018/647/051807222 |
| Uncontrolled Keywords: | gawat darurat, analisis jaringan emergency, network analysis |
| Subjects: | 300 Social sciences > 362 Social problems of and services to groups of people > 362.1 People with physical illnesses > 362.18 Emergency services |
| Divisions: | Fakultas Teknik > Teknik Perencanaa Wilayah dan Kota |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 19 Jun 2019 02:54 |
| Last Modified: | 25 Oct 2021 04:43 |
| URI: | http://repository.ub.ac.id/id/eprint/162795 |
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10. BAB III.pdf Download (1MB) | Preview |
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09. BAB II.pdf Download (1MB) | Preview |
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13. DAFTAR PUSTAKA.pdf Download (512kB) | Preview |
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12. BAB V.pdf Download (519kB) | Preview |
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11. BAB IV.pdf Download (9MB) | Preview |
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Maya Errian Yolitta.pdf Download (9MB) | Preview |
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00. COVER.pdf Download (412kB) | Preview |
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01. LEMBAR PENGESAHAN.pdf Download (648kB) | Preview |
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02. IDENTITAS TIM PENGUJI.pdf Download (395kB) | Preview |
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03. LEMBAR ORISINILITAS.pdf Download (943kB) | Preview |
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04. RINGKASAN.pdf Download (496kB) | Preview |
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05. SUMMARY.pdf Download (493kB) | Preview |
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06. KATA PENGANTAR.pdf Download (587kB) | Preview |
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08. BAB I.pdf Download (1MB) | Preview |
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07. DAFTAR ISI.pdf Download (545kB) | Preview |
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