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"Background: Coronavirus Disease 2019 is an emerging respiratory disease that is now a pandemic. Indonesia is experiencing a rapid surge of cases but the local data are scarce. Methods: this is an analysis using data from the ongoing recapitulation of Epidemiological Surveillance (ES) by the Provincial Health Office of Jakarta from March 2nd to April 27th 2020. We evaluated demographic and clinical characteristics of all confirmed cases in association with death. Results: of the 4,052 patients, 381 (9.4%) patients were deceased. Multivariable analysis showed that death was associated with older age (odds ratio [OR] 1.03; 95% confidence interval [CI] 1.02, 1.05, per year increase; p<0.001), dyspnea (OR 4.83; 95% CI 3.20, 7.29; p<0.001), pneumonia (OR 2.46; 95%CI 1.56, 3.88; p<0.001), and pre-existing hypertension (OR 1.86; 95% CI 1.24, 2.78; p=0.003). Death was highest in the week of April 6th 2020 and declined in the subsequent weeks, after a large-scale social restriction commenced. Conclusion: older age, dyspnea, pneumonia, and pre-existing hypertension were associated with death. Mortality was high, but may be reduced by lockdown."

"Pandemi Coronavirus Disease2019 (Covid-19) telah memberikan tantangan tersendiri bagi pegawai sektor publik untuk mencapai kinerja terbaik. Hasil penelitian terdahulu menginformasikan bahwa work-life balance, dukungan atasan, dan employee engagement dapat mendorong peningkatan kinerja pegawai. Penelitian ini mempunyai tujuan untuk menyelidiki bagaimana work-life balance dan dukungan atasan mampu meningkatkan employe engagement yang menjadi sebab peningkatan kinerja pegawai sektor publik. Untuk mencapai tujuan tersebut, data penelitian dikumpulkan menggunakan survei daring kepada 257 pegawai Kantor Pusat Direktorat Jenderal Perbendaharaan. Seluruh data tersebut diolah dan dianalisis melalui penggunaan Structural Equation Modelling. Hasil penelitian menunjukkan bahwa pengaruh work-life balancedan dukungan atasan berbanding lurus dan signifikan dengan peningkatan kinerja pegawai dan employee engagement. Selain itu, diketahui pula bahwa employee engagement mampu memainkan perannya sebagai variabel mediasi yang memperkuat dampak work-life balance dan dukungan atasan terhadap kinerja pegawai."

"Since the first case was reported at the end of 2019, COVID-19 has spread throughout the world and has become a pandemic. The high transmission rate of the virus has made it a threat to public health globally. Viral infections may trigger acute coronary syndromes, arrhythmias, and exacerbation of heart failure, due to a combination of effects including significant systemic inflammatory responses and localized vascular inflammation at the arterial plaque level. Indonesian clinical practice guideline stated that (hydroxy)chloroquine alone or in combination with azithromycin may be used to treat for COVID-19. However, chloroquine, hydroxychloroquine, and azithromycin all prolong the QT interval, raising concerns about the risk of arrhythmic death from individual or concurrent use of these medications. To date, there is still no vaccine or specific antiviral treatment for COVID-19. Therefore, prevention of infection in people with cardiovascular risk and mitigation of the adverse effects of treatment is necessary."

"COVID-19 merupakah penyakit menular yang menjadi permasalahan baru di hampir seluruh dunia. COVID-19 telah menginfeksi jutaan orang dan menghilangkan jutaan nyawa di dunia, termasuk di Indonesia. DKI Jakarta yang merupakan ibukota Indonesia menduduki peringkat pertama kasus terkonfirmasi COVID-19 tertinggi dan peringkat kedua kasus kematian COVID-19 tertinggi di Indonesia. Penelitian ini bertujuan untuk mengetahui faktor risiko yang mempengaruhi kejadian kematian pasien COVID-19 dari aspek demografi, komorbiditas, serta faktor risiko lain di DKI Jakarta. Penelitian ini menggunakan desain penelitian potong lintang dengan analisis univariat dan bivariat. Sumber data penelitian ini berasal dari formulir Penyelidikan Epidemiologi (PE) yang dikumpulkan oleh Dinas Kesehatan Provinsi DKI Jakarta. Populasi studi pada penelitian ini adalah seluruh pasien COVID-19 sejak bulan Agustus 2020 hingga bulan Februari 2021 di DKI Jakarta. Hasil penelitian ini menunjukkan adanya hubungan yang bermakna secara statistik (p<0,05) antara usia dengan kelompok usia 30-39 tahun (PR 3,318; 95% CI 1,922-5,726), usia 40-49 tahun (PR 6,510; 95% CI 3,848-11,013), usia 50-59 tahun (PR 18,782; 95% CI 11,431-30,862), dan usia ≥60 tahun (PR 50,412; 95% CI 30,965-82,071). Kemudian, pasien berjenis kelamin laki-laki lebih berisiko untuk meninggal dunia dibandingkan dengan pasien perempuan (PR 1,411; 95% CI 1,206-1,650). Lalu, berdasarkan komorbiditas, hipertensi (PR 3,900; 95% CI 2,994-5,081), diabetes mellitus (PR 3,003; 95% CI 1,816-4,967), dan penyakit jantung (PR 6,330; 95% CI 3,866-10,366) memiliki hubungan yang bermakna secara statistik terhadap kematian pasien COVID-19. Penelitian ini diharapkan dapat menjadi acuan untuk mempelajari mekanisme lebih lanjut terkait faktor-faktor yang mempengaruhi kematian COVID-19.

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COVID-19 is an infectious disease which is becoming the new problem in almost all over the world. COVID-19 has infected millions of people and has killed millions of lives in the world, including in Indonesia. DKI Jakarta, which is the capital city of Indonesia, has the highest number of confirmed COVID-19 cases and placed second for the highest number of COVID-19 deaths in Indonesia. This study aims to determine the risk factors affecting the death in COVID-19 patients from the aspects of demographics, comorbidities, and other risk factors in DKI Jakarta. This study used a cross-sectional design with univariate and bivariate analysis. This study used the data from the Epidemiological Surveillance (ES) forms by the Provincial Health Office of DKI Jakarta. The study population was all patients with confirmed COVID-19 from August 2020 to February 2021 in DKI Jakarta. The results of this study showed that there was a statistically significant relationship (p<0.05) between the age group of 30-39 years (PR 3,318; 95% CI 1,922-5,726), age group of 40-49 years (PR 6,510; 95% CI 3,848-11,013), age group of 50-59 years (PR 18,782; 95% CI 11,431-30,862), and age group of ≥60 years (PR 50,412; 95% CI 30,965-82,071). Then, male patients were more likely to die from COVID-19 than female patients (PR 1.411; 95% CI 1.206-1.650). Then, based on comorbidity, hypertension (PR 3.900; 95% CI 2.994-5.081), diabetes mellitus (PR 3.003; 95% CI 1.816-4.967), and heart disease (PR 6.330; 95% CI 3.866-10.366) were associated with the mortality of COVID-19 patients. This research is expected to be the reference for studying the pathophysiology related to the factors affecting the death of COVID-19."

"Coronavirus Disease 2019 (COVID-19) adalah penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS- CoV-2). SARS-CoV-2 merupakan coronavirus jenis baru yang belum pernah diidentifikasi sebelumnya pada manusia. Dampak dari penyakit ini adalah menimbulkan pandemik dengan angka kematian yang sangat tinggi diseluruh dunia. Tujuan umum penelitian ini adalah untuk mengetahui hubungan penderita dengan komorbid hipertensi dengan kejadian kematian akibat Covid-19 di Kota Tangerang Selatan tahun 2020-2021. Desain penelitian yang digunakan desain penelitiaan adalah case control dengan pendekatan kuantitatif. Penelitian ini menggunakan data NAR Kota Tangerang Selatan dan cacatan khusus surveilan pada kasus kematian akibat Covid-19 di Kota Tangerang Selatan berjumlah 13.166 yang terdata sampai tanggal 29 Juni 2021. Data yang dapat dianalisa berjumlah 766 data sampel tersebut didapatkan dengan cara Simple Random Sampling. Teknik analisa data yang dilakukan pada penelitian ini bertahap, meliputi analisa univariat, bivariat, stratifikasi dan analisa multivariat yang diolah menggunakan program statistic. Hasil penelitian menunjukkan bahwa proporsi data dengan kematian akibat Covid-19 pada kelompok kasus dengan komorbid hipertensi sejumlah 189 (49,35%) pasien dan yang tidak komorbid pada kasus kematian yaitu 194 (50,65%), sedangkan yang tidak memiliki komorbid hipertensi dan tidak mengalami kematian akibat Covid-19 sebanyak 345 pasien (90,08%), serta yang memiliki komorbid hipertensi dan tidak mengalami kematian sebanyak 38 pasien (9,92%). Hasil analisis uji logistic regression model akhir menunjukkan hubungan yang signifikan antara komorbid hipertensi dengan kejadian kematian akibat covid-19 dengan OR 7,96 (95% CI: 5,19-12,2; p-value: 0,000) yang artinya bahwa komorbid Hipertensi pada kelompok kasus berisiko 7,96 kali lebih tinggi mengalami kematian akibat covid-19 dibanding kelompok kontrol setelah dikontrol dengan variabel umur, pekerjaan, adanya gejala awal dan penyakit lainnya.

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Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). SARS-CoV-2 is a new type of coronavirus that has never been previously identified in humans. The impact of this disease is causing a pandemic with a very high mortality rate throughout the world. The general purpose of this study was to determine the relationship between patients with comorbid hypertension and the incidence of death due to Covid-19 in South Tangerang City in 2020-2021. The research design used was a case control research design with a quantitative approach. This study uses NAR data from South Tangerang City and special surveillance records on cases of death due to Covid-19 in South Tangerang City totaling 13,166 recorded until June 29, 2021. The data that can be analyzed is 766. The sample data was obtained by means of Simple Random Sampling. Data analysis techniques carried out in this study were carried out in stages, including univariate, bivariate, stratification and multivariate analysis which were processed using statistical programs. The results showed that the proportion of data with deaths due to Covid-19 in the group of cases with comorbid hypertension was 189 (49.35%) patients and those who were not comorbid in cases of death were 194 (50.65%), while those without comorbid hypertension and 345 patients (90.08%) did not die from Covid-19, and 38 patients (9.92%) did not experience comorbid hypertension and did not experience death. The results of the final logistic regression test analysis showed a significant relationship between comorbid hypertension and the incidence of death due to covid-19 with an OR of 7.96 (95% CI: 5.19-12.2; p-value: 0.000) which means that comorbid hypertension the case group had a 7.96 times higher risk of dying from COVID-19 than the control group after controlling for variables of age, occupation, presence of early symptoms and have other diseases."

"Latar Belakang: Aktivasi komplemen dapat menyebabkan respon imun berlebihan dan merupakan salah satu faktor yang berpengaruh terhadap morbiditas serta mortalitas pasien COVID-19. Beberapa penghambat aktivasi komplemen saat ini sedang dipelajari untuk menghambat aktivasi sistem komplemen yang berlebihan pada pasien COVID-19. Resiko, keuntungan, waktu pemberian dan bagian dari sistem yang akan ditargetkan perlu dipertimbangkan pada saat akan menggunakan penghambat komplemen, oleh karena itu telaah sistematis ini dibuat untuk mengambil kesimpulan apakah pemberian terapi penghambat sistem komplemen dapat menurunkan mortalitas pasien COVID-19 yang dirawat di Rumah Sakit berdasarkan penelitian-penelitian yang tersedia.Tujuan: Mengetahui efek pemberian terapi penghambat sistem komplemen terhadap mortalitas pasien COVID-19 yang dirawat di Rumah Sakit.Metode: Dengan menggunakan kata kunci spesifik, dilakukan pencarian artikel potensial secara komprehensif pada PubMed, Embase, Cochrane, dan Scopus database dengan pembatasan waktu 2019 sampai dengan sampai 31 Desember 2022. Protokol studi ini telah diregistrasi di PROSPERO (CRD42022306632). Semua penelitian pemberian terapi penghambat komplemen pada pasien COVID-19 dimasukkan. Analisis statistik dilakukan dengan menggunakan perangkat lunak Review Manager 5.4.Hasil: 5 penelitian memenuhi kriteria dan dimasukkan dalam telaah sistematis serta meta-analisis dengan total 739 pasien COVID-19. Hasil analisis Forest plot menunjukan bahwa pemberian terapi penghambat sistem komplemen menurunkan mortalitas sebesar 28% pada pasien COVID-19 yang dirawat di Rumah Sakit (RR 0,72; 95% CI: 0,46 – 1,14, I2 = 61%, P-value = 0.16).Kesimpulan: Pemberian terapi penghambat sistem komplemen secara statistik tidak signifikan menurunkan mortalitas pada pasien COVID-19 yang dirawat di Rumah Sakit

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Background: Complement activation can cause an exaggerated immune response and is one of the factors that influence the morbidity and mortality of COVID-19 patients. Several complement activation inhibitors are currently being studied to inhibit excessive complement activation in COVID-19 patients. The risks, benefits, time of administration and the part of the system to be targeted need to be considered when using complement inhibition, therefore this systematic review was made to conclude whether the administration of complement system inhibition therapy can reduce the mortality of COVID-19 patients who are hospitalized based on available studies.

Objective: To determine the effect of complement system inhibitory therapy on the mortality of hospitalized COVID-19 patients

Methods: Using specific keywords, we comprehensively searched the PubMed, Embase, Cochrane, and Scopus databases for potential articles from 2019 to December 31, 2022. The research protocol was registered with PROSPERO (CRD42022306632). All studies administering complement inhibitory therapy to COVID-19 patients were processed. Statistical analysis was performed using Review Manager 5.4 software.

Result: 5 studies met the criteria and were included in a systematic review and meta-analysis of a total of 739 COVID-19 patients. The results of the Forest plot analysis showed that administration of complement system inhibitor therapy reduced mortality by 28% in hospitalized COVID-19 patients (RR 0.72; 95% CI: 0.46 – 1.14, I2 = 61%, P -value = 0.16).

Conclusion: Providing complement system inhibitor therapy did not statistically significantly reduce mortality in hospitalized COVID-19 patients"

"Coronavirus Disease 2019 adalah penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Covid-19 telah dinyatakan sebagai pandemik sehingga perlu dilakukan upaya penanggulangan termasuk penguatan fungsi laboratorium yang berfungsi melakukan pemeriksaan spesimen, untuk menjamin kesinambungan pemeriksaan screening spesimen Coronavirus Disease 2019. Penelitian ini bertujuan untuk menganalisis implementasi hierarki pengendalian risiko dalam pencegahan penularan Covid-19 pada pekerja di Laboratorium Biomolekular PT X. Penelitian ini menggunakan metode penelitian kualitatif . Pengumpulan data dilakukan melalui data sekunder, wawancara dan observasi. Penelitian dilakukan dari November 2021-Juli 2022. Hasil penelitian menunjukkan proses kerja di PT. X terdiri enam jenis dari pengambilan sampel hingga pelaporan ke pasien. Masing-masing proses memiliki risiko masing-masing dalam pekerjaannya, dimana risiko tertinggi pada petugas pengambilan sampel. Pengetahuan dan perilaku pekerja terhadap hirarki pengendalian risiko dapat dikatakan sangat baik. Perilaku pencegahan Covid-19 yang dilakukan oleh pekerja di PT. X sudah ada upayanya, seperti mereka paham pentingnya bekerja dengan SOP dan menggunakan alat pelindung diri. PT.X telah mengimplementasikan hirarki pengendalian risiko meliputi pengendalian teknis seperti memberi pembatas dan pengaturan ventilasi, pengendalian administrasi seperti pembuatan SOP dan pengaturan shift kerja, dan penggunaan alat pelindung diri seperti masker, baju gown, sarung tangan, dsb. Terkait implementasi pengendalian risiko pada Laboratorium ada dua hal yang belum terpenuhi yaitu tidak adanya pengelolaan limbah padat B3 dan tidak ada manajemen biosecurity secara mandiri. Adapun saran yang dapat direkomendasikan adalah perlu memberikan edukasi, sosialisasi, maupun pelatihan secara berkala terkait manajemen pengendalian risiko dan melakukan upaya pengelolaan limbah B3 sendiri mengacu pada peraturan kementerian kesehatan untuk keamanaan baik para pekerja dan pelanggan yang berkunjung ke PT.X.

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Coronavirus Disease 2019 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Covid-19 has been declared a pandemic so it is necessary to take countermeasures including strengthening the laboratory function that functions to examine specimens, to ensure the continuity of the 2019 Coronavirus Disease specimen screening examination. This study aims to analyze the implementation of the risk control hierarchy in preventing the transmission of Covid-19 to workers in Biomolecular Laboratory of PT X. This research uses qualitative research methods. Data was collected through secondary data, interviews and observations. The research was conducted from November 2021-July 2022. The results showed that the work process at PT. X consists of six types from sampling to reporting to patients. Each process has its own risks in its work, where the risk is highest for the sampling officer. Knowledge and behavior of workers on the hierarchy of risk control can be said to be very good. Covid-19 prevention behavior carried out by workers at PT. X has made an effort, as they understand the importance of working with SOPs and using personal protective equipment. PT.X has implemented a risk control hierarchy including technical controls such as providing barriers and ventilation settings, administrative controls such as making SOPs and setting work shifts, and the use of personal protective equipment such as masks, gowns, gloves, etc. Regarding the implementation of risk control in the laboratory, there are two things that have not been fulfilled, namely the absence of B3 solid waste management and no independent biosecurity management. The suggestions that can be recommended are that it is necessary to provide education, socialization, and periodic training related to risk control management and make efforts to manage B3 waste itself referring to the regulations of the ministry of health for the safety of both workers and customers who visit PT.X.

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"Pandemi COVID-19 menyebabkan perubahan pada pelayanan di RS dimana terdapat pembatasan layanan klinik kronis, tidak terkecuali klinik jantung RS. Telekardiologi muncul sebagai solusi untuk mengatasi hal ini. Telekardiologi telah dilakukan di RSPP. Namun, kekuatan dan kelemahan layanan telekardiologi RSPP belum diteliti. Menggunakan penelitian campuran (mixed methods) yaitu penelitian kuantitatif tinjauan sistematis, kemudian triangulasi data (observasi, telaah dokumen, dan wawancara) dilakukan untuk mengumpulkan data kualitatif. Berdasarkan penelitian tinjauan sistematis dan kualitatif didapatkan keuntungan dari layanan telekardiologi adalah kemudahan pasien kronis jantung untuk evaluasi kondisi selama pandemi demi mengurangi penyebaran COVID-19, dari segi biaya, layanan telekardiologi lebih murah dibanding konvensional, layanan ini bisa digunakan tanpa mengenal batasan geografis, dan aplikasi yang simpel mempermudah pasien menggunakan layanan ini. Sedangkan untuk kelemahan layanan telekardiologi berupa waktu tunggu yang lama dalam konfirmasi tautan telekardiologi ke pasien, pasien usia tua memiliki ketidakmampuan dalam menggunakan teknologi ini, kurangnya pemasaran layanan ini, dan tidak terkoneksinya dengan layanan lain, menyulitkan dokter dan pasien yang ingin konsultasi secara holistik dengan bagian lain. Dengan demikian, penulis merekomendasikan RSPP untuk melakukan integrasi data, pelatihan telekardiologi bagi pegawai, membuat materi pemasaran yang berdampak, dan membuat kebijakan terkait pelaksanaan telekardiologi. Diharapkan dengan mengetahui kekuatan dan kelemahan layanan tersebut dapat memperbaiki dan meningkatkan layanan tersebut.

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The COVID-19 pandemic has caused changes to services in hospitals where there are restrictions on chronic clinical services, including the hospital heart clinic. Telecardiology has arise as the solution to overcome this problem. Telecardiology has been done in RSPP. However, the strengths and weaknesses of the RSPP telecardiology service have not been studied. Using mixed method research, namely quantitative research with a systematic review, then data triangulation (observation, documents review, and interview) was done to collect qualitative data. Based on systematic and qualitative review research, the advantages of telecardiology services are the convenience of chronic heart patients to evaluate conditions during the pandemic to reduce the spread of COVID-19, in terms of cost, this telecardiology service is cheaper than conventional, this service can be used regardless of geographic boundaries, and a simple application makes it easier for patients. As for the weakness of telecardiology services in the form of long waiting times in terms of confirming telecardiology links to patients, elderly patients have an inability to use this technology, lack of marketing, and not being connected to other services, making it difficult for doctors and patients who want to consult holistically with other parts. Therefore, the author recommends RSPP to support data integration, telecardiology training for staffs, make an impactful marketing strategy, and several policies regarding telecardiology practice. Hopefully by knowing the strengths and weaknesses of these services can improve these services in the future."

"Coronavirus Disease (COVID-19) merupakan infeksi sistem pernapasan yang disebabkan oleh severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Virus ini dapat menyebabkan pneumonia dan berkembang menjadi sindrom distres pernapasan akut/ARDS dan gagal ginjal akut. Pasien terkonfirmasi positif COVID-19 pada laporan ini datang dengan keluhan demam, batuk, sesak, dan terjadi penurunan saturasi oksigen. Hasil chest X-ray menunjukkan infiltrasi bilateral pada kedua lapang paru. Hasil pemeriksaan kimia darah menunjukkan peningkatan kadar kreatinin dan ureum, serta penurunan eGFR. Diagnosis keperawatan yang ditegakkan yakni gangguan pertukaran gas, gangguan ventilasi spontan, gangguan penyapihan ventilator, dan risiko perfusi renal tidak efektif. Intervensi keperawatan yang diberikan kepada pasien yakni pengaturan posisi, terapi oksigen, manajemen ventilasi mekanik, pemantauan respirasi, penyapihan ventilasi mekanik, dan pencegahan syok. Intervensi yang diberikan memberikan hasil yang fluktuatif setiap hari.

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Coronavirus Disease (COVID-19) is an infection of the respiratory system caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This virus can cause pneumonia and progress to acute respiratory distress syndrome/ARDS and acute kidney injury. The patient reported in this case report arrived Emergency Department with complaints of fever, cough, and respiratory distress. The chest X- ray showed bilateral infiltration in both lung fields. The results of the arterial blood gas showed increased levels of creatinine, urea, and decreased eGFR. The nursing diagnoses made were impaired gas exchange, impaired spontaneous ventilation, impaired ventilator weaning, and the risk of ineffective renal perfusion. Nursing interventions given to patients were positioning, oxygen therapy, mechanical ventilation management, respiration monitoring, mechanical ventilation weaning, and shock prevention. The given intervention gives fluctuating results every day."

"Coronavirus Disease (COVID-19) adalah penyakit baru yang melanda dunia tahun 2020.Penyakit ini diperkirakan berasal dari Wuhan, China (Rothan HA, 2020). WHOmenetapkan COVID-19 sebagai pandemi karena penyakit ini telah berhasil menginfeksilebih dari 190 negara di dunia. DKI Jakarta adalah Ibu Kota di Indonesia yang turutmenjadi salah satu Provinsi dengan kasus konfirmasi positif COVID-19 tertinggi sampaiakhir Juli 2020. Penelitian ini bertujuan untuk memodelkan rate kasus COVID-19 pada15 kecamatan Jakarta dengan intensitas tertinggi. Alasan dipilihnya 15 kecamatan denganintensitas tertinggi untuk menjadi area penelitian karena lebih dari 63,43% kasuskonfirmasi COVID-19 dilaporkan dari 15 kecamatan, yakni Kecamatan Gambir,Menteng, Sawah Besar, Kemayoran, Taman Sari, Senen, Tanah Abang, Johar Baru,Tambora, Grogol Petamburan, Cempaka Putih, Pademangan, Setia Budi, Matraman, danPalmerah. Rate kasus COVID-19 pada area ini kemudian dibuat model GSTAR, modelini merupakan salah satu pemodelan dalam time seriesstokastik yang mempertimbangkanindeks spasial atau lokasi dan waktu (Budi, 2019). Matriks bobot biner, matriks bobotseragam, dan matriks bobot jarak pada penelitian ini dibentuk sebagai matriks dependensispasial antar lokasi atau disebut matriks bobot W. Hasil identifikasi STACF dan STPACFuntuk semua matriks pembobot spasial didapatkan model yang sama, yaitu GSTAR(3,1).Pendugaan parameter model GSTAR(3,1) dilakukan untuk setiap matriks pembobottersebut. Model GSTAR(3,1) yang terbaik diperoleh berdasarkan matriks pembobotjarak, dengan RMSE terkecil yaitu 0.1271.

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Coronavirus Disease (COVID-19) is a new disease that hit the world in 2020. This disease

is thought to have originated in Wuhan, China (Rothan HA, 2020). WHO has designated

COVID-19 as a pandemic because this disease has successfully infected more than 190

countries in world. DKI Jakarta is the capital city in Indonesia which is also one of the

provinces with the highest positive confirmed cases of COVID-19 until the end of July

2020. This study aims to model the level of COVID-19 cases in 15 sub-districts of DKI

Jakarta with the highest intensity. The reason for choosing 15 sub-districts with the

highest intensity to be the research area was because more than 63.43% of confirmed

COVID-19 cases were reported from 15 sub-districts, that is Gambir, Menteng, Sawah

Besar, Kemayoran, Taman Sari, Senen, Tanah Abang, Johar Baru Districts , Tambora,

Grogol Petamburan, Cempaka Putih, Pademangan, Setia Budi, Matraman, and Palmerah.

Rate of COVID-19 cases in this area is then made a GSTAR model, this model is one of

the models in a stochastic time series that considers spatial index or location and time

(Budi, 2019). The binary weight matrix, uniform weight matrix, and distance weight

matrix in this study were formed as a spatial dependency matrix between locations or

called the W weight matrix. The results of STACF and STPACF services for all spatial

weighting matrices obtained the same model, that is GSTAR (3,1). Estimation of

parameters of the GSTAR model (3,1) is carried out for each weighting matrix. The best

GSTAR (3,1) model is based on a distance weighted matrix, with an RMSE of 0.1271"