Spatial Distribution of COVID-19 Vulnerable Areas in Tambora District, Jakarta Barat

The COVID-19 pandemic has spread in almost all countries and has caused many casualties. Jakarta is one of the areas with the highest number of COVID-19 sufferers in Indonesia. The purpose of this study was to analyze the distribution of areas vulnerable to the COVID-19 pandemic in Tambora District, Jakarta Barat. The variables used are demographic, socio-economic, health, and physical characteristics. The distribution of COVID-19 sufferers in Tambora District since the beginning of the pandemic has been detected in 7 sub-districts out of 11 sub-district. The highest number of COVID-19 sufferers in November 2020 were in the west, southwest and southeast side, while the least number of sufferers was in the south and northeast side. Jembatan Besi and Roa Malaka sub-districts showed contrasting conditions compared to their surrounding areas because those were the areas with the most and the least number of COVID-19 sufferers. The results showed that the areas with a very high level of vulnerability to COVID-19 are located in the west, southwest, central, north, and southeast side of Tambora District. Furthermore, areas with a high level of vulnerability are located in the north, center, and south. Then, the areas with a moderate level of vulnerability are located on the south and east sides, while the areas with a low level of vulnerability are located on the northeast side.Fenomena pandemi COVID-19 saat ini telah berjangkit di hampir seluruh negara dan menimbulkan banyak korban jiwa. Kota Jakarta sebagai ibukota negara termasuk wilayah dengan jumlah penderita COVID-19 terbanyak di Indonesia. Tujuan penelitian ini adalah menganalisis persebaran wilayah rawan pandemi COVID-19 di Kecamatan Tambora, Jakarta Barat. Variabel yang digunakan adalah kependudukan, sosial ekonomi, kesehatan, dan fisik wilayah. Hasil penelitian menunjukkan bahwa persebaran penderita COVID-19 di Kecamatan Tambora sejak awal pandemi menunjukkan bahwa keberadaan penderita COVID-19 mulai terdeteksi pada 7 kelurahan dari 11 kelurahan di wilayah Kecamatan Tambora. Jumlah penderita COVID-19 terbanyak pada bulan November 2020 berada di sisi barat, barat daya, dan tenggara, sedangkan jumlah penderita paling sedikit terdapat di sisi selatan dan timur laut. Kelurahan Jembatan Besi dan Roa Malaka menunjukkan kondisi yang kontras dibandingkan wilayah sekitarnya karena merupakan wilayah dengan jumlah penderita COVID-19 paling banyak dan paling sedikit. Hasil klasifikasi wilayah rawan COVID-19 menunjukkan bahwa wilayah dengan tingkat kerawanan sangat tinggi berada di sisi barat, barat daya, tengah, utara, dan tenggara Kecamatan Tambora. Selanjutnya, wilayah dengan tingkat kerawanan tinggi berada di sisi utara, tengah, dan selatan. Kemudian, wilayah dengan tingkat kerawanan sedang berada di sisi selatan dan timur, sedangkan wilayah dengan tingkat kerawanan rendah berada di sisi timur laut

RENCANA STRATEGIS PENENTUAN ALTERNATIF RUMAH SAKIT RUJUKAN COVID-19: Studi Kasus Kabupaten Bogor

oai:ojs2.localhost:8081:article/16Beberapa wilayah di Kab. Bogor merupakan daerah penyangga Ibukota negara, dengan kepadatan penduduk tinggi dan merupakan pusat perekonomian. Akibatnya, wilayah tersebut terancam mempunyai kerentanan yang tinggi terhadap penyebaran COVID-19. Peningkatan pasien terkonfirmasi positif COVID-19 di Kab. Bogor semakin masif dari hari ke hari. Peningkatan kasus yang signifikan ini sangat mengkhawatirkan, terutama terhadap kemampuan fasilitas pelayanan kesehatan. Kemampuan fasilitas pelayan kesehatan, terutama rumah sakit rujukan untuk menjangkau wilayah-wilayah rentan kasus positif dapat dengan mudah dilihat menggunakan analisis spasial. Tujuan dari penelitian ini adalah menentukan lokasi strategis fasilitas kesehatan di Kab. Bogor sebagai Rumah Sakit rujukan COVID-19 dengan menggunakan metode analisis jaringan. Rencana strategis rumah sakit rujukan ditentukan berdasarkan wilayah-wilayah yang tidak bisa dijangkau oleh rumah sakit yang ada. Selanjutnya, penentuan indeks kesiapan rumah sakit rujukan menggunakan analisis multi kriteria Simple Additive Weighting. Hasil penelitian menunjukkan bahwa terdapat satu rumah sakit existing dengan indeks kesiapan tinggi, kemudian 4 rumah sakit dengan indeks kesiapan sedang. Lebih lanjut, terdapat 13 alternatif rumah sakit rujukan menunjukkan kesiapan rendah. Sebaran rumah sakit di Kab. Bogor pun tidak banyak, dan hanya memusat di bagian tengah wilayah Kab. Bogor. Oleh karena itu, seluruh rumah sakit alternatif sangat strategis menjadi rumah sakit rujukan COVID-19. Jumlah rumah sakit rujukan COVID-19 di Kab. Bogor masih kurang menjangkau seluruh wilayah, sehingga pemerintah daerah selayaknya berupaya untuk melakukan penambahan jumlah rumah sakit atau penambahan kapasitas layanan kesehatan

POLA PERSEBARAN INDUSTRI DI KORIDOR JALAN RAYA BOGOR

Spatial dispersed pattern of Industry at Jalan Raya Bogor Corridor. The corridor Jalan Raya Bogor, includes DKI Jakarta and West Java provinces have 186 industry, which different spatial dispersed pattern. The Industry has an impact to local community for worker industry. The analysis with nearness neighborhood and overlay map are conclusion as industry has cluster pattern at Cisalak Pasar, Cilangkap, and Cisalak district. And the industry patterns have random spatial at Tugu, Mekarsari, Sukamaju Baru, and Jatijajar district. The industry spatial has a dispersed pattern/uniform at Susukan, Ciracas, Pekayon, Curug, and Sukamaju district. The local community for worker industry has 62.04% senior high school and 2.81% elementary school or not education.Keywords: middle industry region, local community in worker industry

Dampak pembatasan sosial berskala besar terhadap kualitas udara di Jakarta

Abstrak Beberapa negara di dunia memberlakukan pembatasan sosial dan karantina wilayah sebagai upaya untuk menekan laju penularan wabah virus COVID-19. Pembatasan sosial dan karantina wilayah memberikan dampak negatif bagi perekonomian, namun juga dapat berdampak positif bagi perbaikan kondisi lingkungan khususnya kualitas udara di suatu wilayah. Selama periode Pembatasan Sosial Berskala Besar (PSBB) di Jakarta tahun 2020, aktivitas penduduk di luar rumah menurun secara signifikan. Penelitian ini bertujuan untuk menganalisis secara kuantitatif perubahan parameter kualitas udara berupa PM2.5 dan visibility di Jakarta selama periode sebelum (2019) dan setelah pandemi (2020) menggunakan metode statistik. Pengaruh mobilitas penduduk dan distribusi spasial konsentrasi polutan juga dianalisis dalam penelitian ini. Hasil penelitian menunjukkan selama masa pandemi COVID-19, terdapat pengurangan konsentrasi polutan pada tahun 2020 hingga lebih dari 100 persen dibandingkan tahun 2019. Jarak pandang mendatar di Jakarta juga meningkat hingga 11 persen selama PSBB. Mobilitas penduduk mempengaruhi konsentrasi polutan di Jakarta sebesar 30 persen dan distribusi spasial menunjukkan adanya fluktuasi konsentrasi PM2.5 sebelum dan setelah diberlakukannya PSBB. Abstract Countries worldwide have implemented some sort of lockdowns to slow down COVID-19 infection and mitigate it. Lockdown due to COVID-19 has drastic effects on social and economic fronts. However, this lockdown also has some positive effects on the natural environment, especially on air quality. During the 2020 PSBB period in Jakarta, outdoor activity decreased significantly. This study quantitatively analyzes air quality parameters of PM2.5 and visibility changes in Jakarta during the period before (2019) and after the pandemic (2020) using statistical methods. The impact of mobility to polution also become a concern in this study. The results confirmed an improvement in air quality due to the implementation of social restrictions during the COVID-19 pandemic. PSBB has an impact on reducing pollutant concentrations by more than 100 percent during PSBB compared to 2019. The horizontal visibility in Jakarta also increased by 11 percent during the PSBB. Mobility has affected PM2.5 concentration by 30 percent in Jakarta, and spatial distribution of PM2.5 shows evidence of fluctuation during and before PSBB enacted.

Peta Persebaran Covid-19 Berbasis Sistem Informasi Geografis (SIG) di Kecamatan Sukarame Kota Bandar Lampung

Persebaran kasus Covid-19 terus mengalami perkembangan setiap harinya. Sukarame merupakan salah satu kecamatan yang ada di Kota Bandar Lampung dengan jumlah pasien Covid-19 tertinggi. Masyarakat perlu memahami situasi ini. Informasi yang dapat diakses secara real-time sangat dibutuhkan. Hal ini dapat dilakukan dengan menggunakan Sistem Informasi Geografis (SIG). Tujuan penelitian ini ialah membuat visualisasi data persebaran kasus Covid-19 yang mudah diakses sehingga mampu meningkatkan kewaspadaan dini masyarakat dan membantu pemerintah dalam membuat keputusan yang paling tepat. Metode yang digunakan dalam penelitian ini adalah metode deskriptif analisis dan survei lapang. Hasil penelitian menunjukkan bahwa persebaran Covid-19 di tingkat kecamatan dapat dibuat dalam bentuk peta berbasis web.. Informasi yang dapat ditampilkan, antara lain (1) jumlah kasus konfirmasi, meninggal, sembuh, dan pemantauan, di setiap kelurahan, (2) nama, alamat, dan foto puskesmas, dan (3) nama pembuat dan waktu terakhir peta dimodifikasi. Masyarakat juga dapat memanfaatkan fitur lainnya, seperti details, base map, share, print, search, zoom in, zoom out, dan find my location

Spatial and statistical analysis on the cause of flooding in Northwest Jakarta floodplain (Kapuk and Penjaringan Districts)

Jakarta, as the capital city of Indonesia, is one of the most flooded areas in Indonesia. The floods occurred annually and heavy floods usually occurred once in a few years. This paper address the geographic distribution of floods and statistical analysis of the floods causes by using rain intensity, tidal height, elevation, and floods occurrence as the parameters. This research was conducted in Angke (Kapuk) and Penjaringan Districts, located in Northern Jakarta where the floods usually occur. The result shows that rainfall intensity, remaining water inundation from the previous flood, and land runoff coefficient as the key factors of flooding in these areas

A rapid flood inundation model in the floodplain area due to an extreme rainfall event

Extreme rainfall in East Jakarta on February 19, 2021 caused flooding in a number of subdistricts. The research was conducted in the central part of Kali Sunter, which flows through three subdistricts, namely Cipinang Melayu, Cipinang Muara, and Pondok Bambu. The purpose of the study was to do flood hazard modeling and analyze the characteristics of flood-affected areas based on land use and topography. Inundation and flood hazard maps is done by: calculating the flood discharge using the SCS-CN method, flood inundation modelling using HEC-RAS, and analyzing the characteristics of the inundated area. This combination is effective for rapid modeling during extreme rainfall events. Based on the research, the distribution of the highest flood hazard area is in RW 004 Cipinang Melayu, with the widest inundation affecting small and medium-sized houses. The characteristics of the affected area are that there is green and empty land which reduces the potential for water to inundate buildings or other land uses. Buildings located in low-hazard housing areas tend to be more organized and relatively medium to large in size. While the types of housing in the Cipinang Melayu with a high level of danger tend to be dense and small to medium in size, but the majority have two floors as a form of flood adaptation

Managing the COVID-19 Pandemic in the Community-Based Mountain Eruption Zone, Cangkringan Sub-District, in YOGYAKARTA

Background: First case in Indonesia was reported in March 2, 2020 and until November, it has infected more than 400.000 people, with more than 300.000 recovered and 15.000 deaths in total. Especially in Cangkringan District and surrounding area, the latest natural disaster is happening in the midst of a COVID-19 pandemic that is eruption of Mount Merapi which encourage local government and outposts to prepare camps for people nearby who suffered from Mount Merapi eruption. Meanwhile, in evacuation camp, the chance of infected by COVID-19 is high and it is a main problem and a purpose of this research.Methods: Methods that is conducted in this research by obtaining vulnerability level data against the outbreak and making a probability map of virus transmission mainly in the eruption red zone.Result: The outcome of this research is COVID-19 mitigation map within eruption red zone of this regency and recommendations about how to control the outbreak among refugees.Conclusion: Therefore, evacuation can be conducted in the midst of pandemic situation because the transmission case is low