firmansyah, dio astya (2022) Hubungan Sistem Transportasi Dengan Pola Spasial Temporal Penyebaran Covid-19 Pada Masa Pemberlakuan Pembatasan Kegiatan Masyarakat (Ppkm) Di Kota Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Semenjak tersebarnya COVID-19, sistem transportasi menjadi tantangan yang besar bagi kehidupan dan ketahanan kota. Karena pergerakan berkendara menjadi salah satu faktor utama yang menyebabkan pesatnya penyebaran COVID-19, pemerintah berbagai negara dunia menerapkan kebijakan melalui pembatasan kegiatan pada pusat-pusat kegiatan mayarakat atau yang umum dinamakan lockdown. Indonesia pun demikian, pemerintah menerapkan pembatasan aktivitas masyarakat namun dengan kriteria tertentu, berbeda dengan lockdown. Terutama Kota Surabaya yang menjadi pusat aktivitas di Provinsi Jawa Timur menerapkan hal yang sama. Tetapi angka kasus positif COVID-19 di Kota Surabaya meningkat tajam seiring diterapkannya kebijakan PPKM bulan Januari 2021 dan PPKM Darurat bulan Juli 2021 yang kemudian konstan hingga PPKM Level 1 di bulan Desember 2021. Oleh karena itu penelitian ini dibuat melalui pendekatan spasial untuk mengetahui seperti apa hubungan sistem transportasi dengan pola penyebaran COVID-19 pada kebijakan PPKM. Analisis Hot Spot digunakan untuk mencari tahu kelurahan mana saja yang signifikan secara statistik terhadap beragamnya jumlah kasus positif COVID-19. Setelah itu regresi spasial melalui metode GWR membantu mengidentifikasi pola perjalanan masyarakat apa yang mempengaruhi penyebaran kasus positif COVID-19. Hasil dari penelitian ini menunjukkan bahwa dari 154 kelurahan, terdapat 57 kelurahan yang signifikan secara statistik. Kelurahan dengan signifikansi tinggi (hot) sebanyak 28 kelurahan, sedangkan kelurahan dengan signifikansi rendah (cold) sebanyak 29 kelurahan, dan 97 sisanya tidak signifikan. Penerapan kebijakan PPKM ternyata berpengaruh terhadap naik turunnya kasus positif COVID-19, dengan kebijakan PPKM Level 1 yang paling signifikan secara statistik menurunkan penambahan kasus positif COVID-19. Pada kebijakan PPKM (T1), kasus COVID-19 dipengaruhi oleh perjalanan retail & rekreasi, taman, permukiman, dan jarak ke pusat kota sebesar 51,9%. PPKM Mikro (T2) dipengaruhi oleh perjalanan retail & rekreasi, taman, bekerja, permukiman, dan jarak ke pusat kota sebesar 47,8%. PPKM Darurat (T3) dipengaruhi oleh perjalanan retail & rekreasi, stasiun transit, perkantoran, bekerja, dan permukiman sebesar 68,6%. PPKM Level 4 (T4) dipengaruhi oleh perjalanan taman, stasiun transit, permukiman, dan kepadatan sebesar 60,1%. PPKM Level 3 (T5) dipengaruhi oleh perjalanan bekerja, sekolah, permukiman, dan kepadatan sebesar 66,6%. PPKM Level 2 (T6) dipengaruhi oleh perjalanan taman, bekerja, permukiman, dan kepadatan sebesar 62,9%. Dan PPKM Level 1 (T7) dipengaruhi oleh perjalanan taman, sekolah, dan permukiman sebesar 70,1%.
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Since the spread of COVID-19, the transportation system has become a major challenge to the life and resilience of the city. Because driving movement is one of the main factors that cause the rapid spread of COVID-19, governments of various countries around the world have implemented policies through restrictions on activities at community activity centers or what is commonly called lockdowns. Indonesia was the same, the government implements restrictions on community activities but with certain criteria, in contrast to lockdowns. Especially the city of Surabaya, which is the center of activity in East Java Province, applies the same. However, the number of positive cases of COVID-19 in the city of Surabaya increased sharply in line with the implementation of the CARE policy in January 2021 and emergency CARE in July 2021 which was then constant until CARE Level 1 in December 2021. Therefore, this research was made through a spatial approach to find out what the relationship between the transportation system and the pattern of spreading COVID-19 in the CARE policy is like. Hot Spot analysis is used to find out which villages are statistically significant to the varying number of positive cases of COVID-19. After that, spatial regression through the GWR method helps identify what community travel patterns affect the spread of positive cases of COVID-19. The results of this study show that out of 154 urban villages, there are 57 significant statistically villages. There are 28 villages with high significance (hot), while villages with low significance (cold) are 29 villages, and the remaining 97 are non-significant. The implementation of the CARE policy turned out to have an effect on the rise and fall of positive cases of COVID-19, with the CARE Level 1 policy being the most significant statistically reducing positive cases addition of COVID-19. In the CARE policy (T1), COVID-19 cases were influenced by the travel of retail &recreational, parks, settlements, and the distance to the city center by 51.9%. Micro CARE (T2) is influenced by the travel of retail & recreation, parks, work, settlements, and distance to the city center by 47.8%. Emergency CARE (T3) was influenced by the travel of retail & recreational, transit stations, offices, work, and settlements by 68.6%. CARE Level 4 (T4) is affected by the travel of parks, transit stations, settlements, and density by 60.1%. CARE Level 3 (T5) is influenced by the travel of work, school, settlements, and density by 66.6%. CARE Level 2 (T6) is affected by the travel of park, work, settlements, and density by 62.9%. And CARE Level 1 (T7) is affected by the travel of park, school, and settlement by 70.1%.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSPW 388.321 Fir h-1 2022 |
| Uncontrolled Keywords: | Sistem Transportasi, Pembatasan Aktivitas, Regresi Spasial. Transportation System, Activity Restriction, Spatial Regression. |
| Subjects: | H Social Sciences > HT Communities. Classes. Races > HT133 City and Towns. Land use,urban |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Regional & Urban Planning > 35201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 24 Jun 2026 01:53 |
| Last Modified: | 24 Jun 2026 01:53 |
| URI: | http://repository.its.ac.id/id/eprint/134008 |
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