Abstrak: Data rutin situasi COVID-19 dapat memberikan banyak informasi penting yang bisa dimanfaatkan sebagai bahan evaluasi pengendalian pandemi. Sayangnya keterbatasan tenaga seringkali menjadi alasan minimnya analisis lebih lanjut. Penelitian ini memanfaatkan laporan data rutin Kementerian Kesehatan untuk menganalisis pengaruh pelacakan kontak erat terhadap transmisi COVID-19 di Pulau Jawa secara spasial. Tujuannya membantu mengevaluasi upaya pelacakan kontak erat yang sudah dilakukan pemerintah. Analisis dilakukan dengan membuat peta distribusi pelacakan kontak dan transmisi kasus menggunakan software QGIS 2.8.1. dan nilai Indeks Moran menggunakan software Geoda. Penelitian ini menggunakan data cross-sectional dengan design studi ekologi. Unit analisis adalah kabupaten/kota yang berjumlah 118 dan waktu pengamatan adalah 15 Maret - 11 Januari 2022. Hasil penelitian menunjukkan bahwa transmisi kasus COVID-19 cenderung tinggi di bagian tengah Pulau Jawa, puncak transmisi terjadi pada bulan Juli 2021, kapasitas pelacakan kontak erat cenderung lebih tinggi di kabupaten/kota yang memiliki kasus lebih tinggi. Penyebaran kasus COVID-19 di Pulau Jawa memiliki efek spasial (I=0.234, E(I)=-0.0085). Terdapat autokorelasi negatif yang lemah antara pelacakan kontak dengan kasus COVID-19 di Pulau Jawa (I=-0.133, E(I)=-0.0085). Pada saat transmisi kasus tinggi rasio pelacakan kontak lebih rendah daripada ketika transmisi kasus rendah. Pelacakan kontak harus dilakukan saat transmisi penyakit rendah sehingga ledakan kasus dapat di cegah

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Routine data of the COVID-19 situation can provide a lot of important information that can be used as material for evaluating pandemic control. Unfortunately, limited manpower is often the reason for the lack of further analysis. This study used routine data from the Ministry of Health to analyze the spatial effect of close contact tracing on COVID-19 transmission in Java. The aim is to help the government evaluate close contact tracing efforts. The analysis was carried out by creating the distribution map of contact tracing and case transmission using QGIS 2.8.1 software and Moran Index values using Geoda software. This study used cross-sectional data with an ecological study design. The unit of analysis was the municipality, and the observation time was 15 March - 11 January 2022. The results showed that the transmission of COVID-19 cases tends to be high in the central part of Java Island, the peak of transmission occurred in July 2021, close contact tracing capacity tends to be higher in municipalities with higher cases. The spread of COVID-19 cases in Java has a spatial effect (I=0.234, E(I)=-0.0085). There is a weak negative autocorrelation between contact tracing and COVID-19 cases in Java (I=-0.133, E(I)=-0.0085). When case transmission was high, the contact tracing ratio was lower than when case transmission was low. Contact tracing should be done when disease transmission is low so that case explosions can be prevented

Abstrak: Penilaian kualitas profil dilihat dari aspek kelengkapan, akurasi dan konsistensi data/informasi kesehatan ibu dan neonatus dan ketepatan waktu terbit, mengacu pada petunjuk teknis PMKDR. Dinilai pula faktor sumber daya SIK (khususnya koordinasi SIK, sumber daya manusia SIK dan infrastruktur SIK) dan manajemen data (khususnya ketersediaan data), menggunakan instrumen HMN. Penelitian ini merupakan penelitian kuantitatif dengan rancangan penelitian cross sectional. Responden dalam penelitian ini 56 dinas kesehatan kabupaten/kota tahun 2012, dengan kepala unit yang menangani data sebagai unit analisis. Hasil penelitian ini mendapatkan 69,6% profil berkualitas baik, koordinasi dan SDM SIK belum optimal (57,1%; 69,6%), serta infrastruktur SIK dan ketersediaan data umumnya optimal (67,9%). Terdapat hubungan antara SDM SIK dan ketersediaan data dengan kualitas pemantauan profil kesehatan kabupaten/kota (OR 4,69 dan 2,58). Penelitian ini menyarankan perlu diprioritaskan pengembangan kemampuan SDM SIK, perlu ditingkatkan ketersediaan data melalui kerjasama yang baik dengan unit internal maupun eksternal serta perlu dilakukan pemantauan kualitas profil kesehatan secara berjenjang. Kata Kunci : Kualitas profil kesehatan, Pemantauan Mandiri Kualitas Data Rutin (PMKDR), Sistem Informasi Kesehatan (SIK)

Abstrak: ABSTRAKKualitas dan akurasi data imunisasi adalah masalah yang sering ditemukan di puskesmas dan dinas kesehatan, meskipun cakupan imunisasi tinggi tetapi dengan tidak adanya penilaian kualitas data imunisasi yang dilaporkan secara rutin tersebut maka persentase cakupan yang tinggi belum tentu kualitas datanya juga tinggi. Penelitian ini bertujuan untuk mengetahui gambaran kualitas data rutin imunisasi berdasarkan metode Data Quality Self Assessment (DQS) di Kota Padang Panjang tahun 2013. Penelitian ini merupakan penelitian kualitatif yang menggunakan metode DQS dari WHO. Penelitian dilakukan di dinas kesehatandan semua puskesmas yang ada di Kota Padang Panjang yaitu Puskesmas Gunung, Kebun Sikolos, Koto Katik dan Bukit Surungan. Data diperoleh dari dengan melakukan wawancara, observasi dan telaah dokumen. kualitas data program imunisasi menunjukan komponen penggunaan data yang kualitasnya masih rendah, data kurang dimanfaatkan untuk saran-saran perbaikan pencatatan dan pelaporan imunisasi. Akurasi data kelurahan ke puskesmas ditemukancakupan yang dilaporkan lebih banyak daripada yang berhasil diverifikasi (overreporting) untuk pelaporan hasil imunisasi DPT-HB3 dan Campak. Untuk pelaporan masih terjadi ketidak lengkapan tanggal pelaporan. Sistem pemantauan tidak dilakukan optimal untuk mengevaluasi kinerja program imunisasi, perlu kebijakan untuk meningkatkan kualitas program imunisasi agar sistem pencatatan dan pelaporan data imunisasi lebih baik.

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ABSTRACTThe quality and accuray of immunization data is a problem that is often found in health centers and the Department of Health, despite high immunization coverage but in the absence of immunization data quality assessment is routinely reported that the percentage of coverage is not necessarily high data quality is also high. This study aims to describe the data quality routine immunization based methods Data Quality Self Assessment (DQS) in the city of Padang Panjang in 2013. Research is a qualitative research method that uses DQS from WHO. The study was conducted at the Department of Health and all health centers in the city of Padang Panjang is Gunung health center, Kebun Sikolos, Koto Katik and BukitSurungan. Data obtained from the conducted interviews, observation and document reviews. Immunization data quality component data usage shows that the quality is still low, the data underutilized for suggestions for improvement of recording and reporting of immunization. The accuracy of the data found the village to the health center coverage more than succesfuly verified (overreporting) for reporting the results of DPT-HB3 and Measles. For lack of reporting still occurs accessory reporting date. Monitoring system do not optimal for evaluating databases must addres satisfying immunization program, for the system of recording and reporting of immunization data better.;The quality and accuray of immunization data is a problem that is often found inhealth centers and the Department of Health, despite high immunization coveragebut in the absence of immunization data quality assessment is routinely reportedthat the percentage of coverage is not necessarily high data quality is also high.This study aims to describe the data quality routine immunization based methodsData Quality Self Assessment (DQS) in the city of Padang Panjang in 2013.Research is a qualitative research method that uses DQS from WHO. The studywas conducted at the Department of Health and all health centers in the city ofPadang Panjang is Gunung health center, Kebun Sikolos, Koto Katik and BukitSurungan. Data obtained from the conducted interviews, observation anddocument reviews. Immunization data quality component data usage shows thatthe quality is still low, the data underutilized for suggestions for improvement ofrecording and reporting of immunization. The accuracy of the data found thevillage to the health center coverage more than succesfuly verified (overreporting)for reporting the results of DPT-HB3 and Measles. For lack of reporting stilloccurs accessory reporting date. Monitoring system do not optimal for evaluatingdatabases must addres satisfying immunization program, for the system ofrecording and reporting of immunization data better., The quality and accuray of immunization data is a problem that is often found inhealth centers and the Department of Health, despite high immunization coveragebut in the absence of immunization data quality assessment is routinely reportedthat the percentage of coverage is not necessarily high data quality is also high.This study aims to describe the data quality routine immunization based methodsData Quality Self Assessment (DQS) in the city of Padang Panjang in 2013.Research is a qualitative research method that uses DQS from WHO. The studywas conducted at the Department of Health and all health centers in the city ofPadang Panjang is Gunung health center, Kebun Sikolos, Koto Katik and BukitSurungan. Data obtained from the conducted interviews, observation anddocument reviews. Immunization data quality component data usage shows thatthe quality is still low, the data underutilized for suggestions for improvement ofrecording and reporting of immunization. The accuracy of the data found thevillage to the health center coverage more than succesfuly verified (overreporting)for reporting the results of DPT-HB3 and Measles. For lack of reporting stilloccurs accessory reporting date. Monitoring system do not optimal for evaluatingdatabases must addres satisfying immunization program, for the system ofrecording and reporting of immunization data better.

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Data and information have an important role in the decision-making process. In the health sector, data utilization is used to estimate the burden of a disease including its determinants. Tuberculosis (TB) remains a global health problem that infects 10.6 million people worldwide in 2021, where Indonesia is the second highest contributor to caseload after India. The province with the highest number of TB case findings in Indonesia in the last 5 years is West Java Province. To find out the spatial model of risk factors that have an effect on each district/city, an analysis was carried out using a spatial approach using secondary data. The results of this study indicate that there is a positive spatial autocorrelation that has a significant effect on the number of TB cases in West Java Province, which means that the distribution of cases forms a clustered pattern and adjacent areas tend to affect the surrounding area. The districts/cities that have become hotspot areas and are priority areas for intervention in handling TB cases in West Java Province are Bekasi Regency, Bogor Regency, Karawang Regency, Purwakarta Regency, Sukabumi Regency, Bekasi City, Bogor City and Depok City. Spatial analysis found risk factors that had different effects in each district/city area, namely the poor population, temperature and altitude, so that the forms of health interventions carried out were also different. Utilization of data with this spatial approach is expected to be able to support decision-making support related to health intervention programs and policies that are specific to the area so that they are right on target and able to reduce the number of TB cases in West Java Province.

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