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All Journal Public Health of Indonesia Jurnal Pengabdian Masyarakat AbdiMas
Pertiwi, Tria Saras
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Education Public Health

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PENCATATAN HASIL DATA PEMERIKSAAN KESEHATAN (PENGUKURAN TENSI) DENGAN MENGGUNAKAN APLIKASI KOBOCOLLECT Pertiwi, Tria Saras; Muda, Cut Alia Keumala; Elistia, Elistia
Jurnal Pengabdian Masyarakat AbdiMas Vol 6, No 2 (2020): JURNAL PENGABDIAN MASYARAKAT ABDIMAS
Publisher : Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/abd.v6i2.3184

Abstract

AbstractThe need for accurate, accurate and up-to-date information is increasingly needed along with the rapid development of information technology at this time so as to encourage the public and agencies to utilize the information technology. One of these information technologies is information systems. Currently electronic and data collection using android is being developed, one of which is often used is Kobotoolbox with an application on Android is Kobocollect (web kobotoolbox). Reports on the results of health examinations at the Puskesmas in particular the measurement of blood pressure that many people have blood pressure far above normal where hypertension is the first of the 10 biggest diseases in the Sambamb regency. As one of the forms of concern for people in need, as permanent lecturers or based at the Faculty of Health Sciences and Faculty of Economics, Esa Unggul University, we have conducted socialization of health problems and assistance in collecting health data through assistance in recording data on health examination results (blood pressure measurement ) by using KoBoCollect on residents in Piantus Village, Sumber Harapan, and in Lumbang Village. Health defect results using the KoboCollect application are very effective to see that the data collected can be easily accessed again by health workers and local cadres, besides that the data is also not easily lost. The recapitulation results are then reported back to the local health cadres. Keywords: KoBoCollect, hypertension, sambas AbstrakKebutuhan akan informasi yang akurat, tepat, dan terkini semakin dibutuhkan seiring dengan perkembangan teknologi informasi yang pesat saat ini sehingga mendorong masyarakat dan instansi untuk memanfaatkan teknologi informasi tersebut. Salah satu dari teknologi informasi tersebut adalah sistem informasi. Saat ini pengumpulan data dan informasi secara elektronik menggunakan android sedang dikembangkan, salah satu yang sering digunakan adalah Kobotoolbox dengan aplikasi di Android adalah Kobocollect (web kobotoolbox). Laporan hasil pemeriksanaan kesehatan di Puskesmas khususnya pengukuran tensi darah bahwa banyak masyarakatnya memiliki tekanan darah jauh di atas normal dimana hipertensi menjadi urutan pertama dari 10 penyakit terbesar di wilayah kabupaten sambas. Sebagai salah satu bentuk kepedulian kepada masyarakat yang membutuhkan, sebagai dosen tetap atau berpangkalan pada Fakultas Ilmu-Ilmu Kesehatan dan Fakultas Ekonomi Universitas Esa Unggul, kami sudah melakukan sosialiasi masalah kesehatan serta asistensi dalam pengumpulan data kesehatan melalui asistensi pencatatan data hasil pemeriksaan kesehatan (pengukuran tensi) dengan menggunakan KoBoCollect pada warga di Desa Piantus, Sumber Harapan, serta di Desa Lumbang. Hasil pencacatan kesehatan menggunakan aplikasi KoboCollect sangat efektif dilakukan melihat data yang dikumpulkan dapat dengan mudah diakses kembali oleh tenaga kesehatan dan kader setempat, selain itu data juga tidak mudah hilang. Hasil rekapitulasi kemudian dilaporkan kembali ke kader setempat. Kata kunci: KoBoCollect, hipertensi, sambas
Spatial patterns of maternal mortality causes in West Kalimantan, Indonesia Pertiwi, Tria Saras; Temesvari, Nauri Anggita; Nurmalasari, Mieke
Public Health of Indonesia Vol. 7 No. 3 (2021): July - September
Publisher : YCAB Publisher & IAKMI SULTRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v7i3.441

Abstract

Background: Maternal Mortality Rate (MMR) is one of the health indicators to see maternal survival in general and is a component in the health development index. Maternal Mortality Rate is also an important indicator of the quality of health services and the performance of the Health system.Objective: This study aimed to analyze the spatial patterns of maternal mortality based on the mortality causes in Sambas District, West Kalimantan, Indonesia.Methods: This study used a descriptive and exploratory approach to be able to see the distribution of maternal mortality and the coverage of the distribution of health care facilities. A spatial pattern was carried out to analyze the distribution pattern of maternal mortality cases using the Average Nearest Neighbor.Results: The results showed that most maternal mortality causes include bleeding, pregnancy hypertension, circulation system disorders (heart, stroke), metabolic disorders (diabetes mellitus), and other causes, such as pulmonary embolism. The analysis using a buffer of 3 kilometers and 5 kilometers show that not all the areas are covered by health service facilities in the Sambas district. Analysis of the mean of the nearest neighbors showed that the Nearest Neighbor ratio was 1.039398 with a z-score of 1.022396, which means that the pattern of distribution of maternal death according to the cause of death has a random pattern.Conclusion: The spatial pattern of cases of maternal death according to the cause of death in the Sambas district, West Kalimantan, Indonesia, has a random pattern. This finding can be used as a basis for decreasing the maternal mortality rate.
Autocorrelation Spatial Based on Specific Nutritional Interventions Achievement with Stunting Cases in Toddlers at Kendari City Using Local Indicator of Spatial Autocorrelation (LISA) Method Pertiwi, Tria Saras; Nurmalasari, Mieke; Qomarania, Witri Zuama; Supryatno, Adi; Saputra, Alief Imran; Salim, Agus
Public Health of Indonesia Vol. 10 No. 3 (2024): July - September
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v10i3.834

Abstract

Background:Stunting is a priority target both globally and in Indonesia. There are 10 provinces in Indonesia that are the main focus of the stunting reduction program, one of which is Southeast Sulawesi Province. Kendari City, located in Southeast Sulawesi, has experienced an increase in stunting incidence over the past three years. However, progress in reducing stunting in Kendari City has not been evenly distributed across its regions and sub-regions, with significant disparities in stunting rates between different sub-districts. Objective:To determine the spatial autocorrelation based on the achievement of specific nutritional interventions for toddlers and the incidence of stunting in Kendari City using the Local Indicator of Spatial Autocorrelation (LISA). Method:This quantitative study used the Local Indicator of Spatial Autocorrelation (LISA) method. The data on stunting incidence consisted of the number of stunting cases among toddlers in 2023 across 11 sub-districts in Kendari City. The sub-districts analyzed were Abeli, Baruga, Kadia, Kambu, Kendari, West Kendari, Mandonga, Nambo, Poasia, Puuwatu, and Wua-Wua. The study was conducted from November 2023 to May 2024 in Kendari City. A local autocorrelation test with LISA was performed to determine the spatial relationships among the sub-districts based on the research variables, with results displayed in the form of Moran's scatterplot, cluster map, and significance map. Results:The results of Moran's local bivariate test (LISA) indicated that the majority of sub-districts, particularly Kambu, exhibited significant positive autocorrelation with neighboring sub-districts and fell into the cold-spot category. This indicates that the number of specific nutritional intervention programs for toddlers and the cases of stunting in toddlers in 2023 were low in Kambu and its surrounding sub-districts, which also had similarly low values. Conclusion:There is spatial autocorrelation among the sub-districts in Kendari City. Although the cases of stunting in the Kambu sub-district are low, the achievement of intervention programs should remain optimal, as cases still exist in the area. Additionally, since Kambu has a spatial correlation with its neighboring areas, the government should target these areas for appropriate interventions to accelerate stunting reduction, particularly in Kendari City. Keywords:Spatial Autocorrelation; LISA; Specific Nutrition Interventions; Stunting Toddlers
Co-Authors Agus Salim Elistia, Elistia Muda, Cut Alia Keumala Nurmalasari, Mieke Qomarania, Witri Zuama Saputra, Alief Imran Supryatno, Adi Temesvari, Nauri Anggita