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All Journal Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmu Kesehatan Bhakti Setya Medika MASALIQ: Jurnal Pendidikan dan Sains
Andhy Sulistyo
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Religion Computer Science & IT Education Medicine & Pharmacology Social Sciences

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Pemetaan Penyakit Tuberculosis Dengan Sistem Informasi Geografis Di Wilayah Bantul Andhy Sulistyo
JURNAL ILMU KESEHATAN BHAKTI SETYA MEDIKA Vol. 7 No. 2 (2022): Jurnal Ilmu Kesehatan Bhakti Setya Medika
Publisher : Politeknik Kesehatan Bhakti Setya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56727/bsm.v7i2.98

Abstract

Tuberculosis is an infectious disease caused by the bacterium Mycobacterium tuberculosis which is still a major health problem, both in the world and in Indonesia. Based on health data, the number of tuberculosis cases in the Bantul region in 2018 was 406 cases, in 2019, there was an increase of 1,003 cases, a decrease in 2020 by 708 and in 2021 678 cases. The purpose of this study was to determine the mapping of the distribution of tuberculosis cases in Bantul Regency and high sub-districts in 2021 and graph the number of cases based on gender and age, environmental factors that influence (temperature, humidity, rainfall, population density). The type of research used in this scientific paper uses qualitative research with a case study design. The results of the research mapping the distribution of the highest tuberculosis cases in Bantul District as many as 383 cases and in Banguntapan Village Area as many as 40 cases. Tuberculosis cases based on sex were more male as many as 401 cases. For cases based on the age group 0-4 years, the highest cases were 170 cases. The factors causing the high incidence of tuberculosis are rainfall, temperature, humidity and population density factors. Districts with high cases related to environmental factors are in Banguntapan, Bantul and Pandak Districts. The process of collecting health data has been computerized, with the highest distribution of cases in Bantul Regency and the highest in Banguntapan Village. Tuberculosis cases are more male than female. Environmental factors related to rainfall and population density.
T Tinjauan Pelaksanaan Sistem Komputerisasi Rekam Medis Di Puskesmas Ngemplak 1 Andhy Sulistyo
JURNAL ILMU KESEHATAN BHAKTI SETYA MEDIKA Vol. 8 No. 1 (2023): Jurnal Ilmu Kesehatan Bhakti Setya Medika
Publisher : Politeknik Kesehatan Bhakti Setya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56727/bsm.v8i1.119

Abstract

The Ngemplak I Health Center already uses the SMARTSEHAT system with a LAN (Local At Network) network, but in its records there are still some things that are done manually. The purpose of this study was to find out the implementation of the medical record computerized system in the reporting section, to identify problems in implementing the medical record computerized system in the reporting section, to find out the efforts made in overcoming obstacles in implementing the medical record computerized system in the reporting section. The method used is descriptive with a qualitative approach. Data collection was carried out by means of observation, interviews, and documentation studies. The subjects of this study were reporting officers and the head of the Ngemplak I Health Center. The object of this study was the implementation of a computerized system in the reporting section. There are obstacles in the reporting section, there are still polys that are not connected to SMARTSEHAT so officers have to provide a form every month to fill it in and also an unstable network hinders the reporting process.
APLIKASI MOBILE HEALTH BERBASIS SMART VILLAGE PLATFORM BAGI PENDERITA STUNTING Resmiaini; Andhy Sulistyo
Jurnal Informatika dan Rekayasa Elektronik Vol. 6 No. 2 (2023): Jire Nopember 2023
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v6i2.957

Abstract

Salah satu masalah yang masih dihadapi Indonesia saat ini adalah stunting, yang merupakan kondisi gagal tumbuh pada anak usia di bawah lima tahun. Diharapkan bahwa aplikasi digital akan membantu bidan desa atau stakeholder di posyandu melakukan pencatatan yang lengkap, akurat, dan tepat waktu. Selain itu, aplikasi ini memiliki kemampuan untuk memberikan edukasi tentang ibu hamil dan memantau perkembangan bayi yang sedang dikandung. Tujuan penelitian ini adalah membuat dan menerapkan Aplikasi Mobile Health yang dikombinasikan dengan sistem informasi geografi(SIG). Objek dalam penelitian ini adalah data tumbuh kembang anak, riwayat penyakit ibu dan koordinat tempat tinggal. Subjek penelitian ibu dan anak penderita stunting. Dalam penelitian ini, desain studi dibagi menjadi empat tahap. Tahap pertama adalah studi evaluasi, yang menampilkan kasus stunting. Tahap kedua adalah studi eksperimen, yang menciptakan aplikasi kesehatan mobile. Tahap ketiga adalah studi survei lapangan, dan tahap keempat adalah studi modeling, yang menampilkan analisis spasial. Teknik analisis data yang terkumpul dianalisis dengan menggunakan aplikasi ArcGis 10. 3. Aplikasi Mobile Health yang dapat digunakan sebagai pengganti kartu menuju sehat sekaligus dapat memetakkkan kejadian stunting di wilayah desa Sriharjo.  Luas Wilayah Desa Sriharjo 585,9960 ha yang terdiri lima dusun dengan kejadian stunting  tahun 2022 sebesar 20,95%. Edukasi menjadikan desa pintar dalam penggunaan teknologi smartphone.
Analisis Spasial Kejadian Stunting Berbasis Rekam Medis Elektronik dan Data Geospasial di Kecamatan Piyungan, Bantul Andhy Sulistyo; Resmiaini Resmiaini
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.9570

Abstract

Stunting remains a complex public health problem, thus requiring a spatial approach to identify patterns of case distribution more precisely. This study aims to analyze the spatial pattern of stunting cases in Piyungan Subdistrict through a local hotspot approach, global spatial autocorrelation, and individual point-based micro-clustering. This study used spatial data and electronic medical records analyzed using ArcGIS software. Local hotspot identification was conducted using the Getis-Ord Gi* method, global spatial autocorrelation was analyzed using Moran’s I, while micro-clustering was analyzed using Average Nearest Neighbor (ANN). The results of the Getis-Ord Gi* analysis of 132 spatial units showed that 131 units (99.2%) were not classified as statistically significant hotspots or coldspots, while 1 unit (0.8%) was identified as a local hotspot at the 95% confidence level with a z-score of 2.21 and a p-value of 0.0267. Moran’s I analysis produced a value of -0.0365 with a z-score of -0.6623 and a p-value of 0.5078, indicating the absence of significant global spatial autocorrelation so that the distribution pattern of stunting cases at the aggregate level tended to be random. However, the ANN analysis showed an observed mean distance of 83.88 meters, an expected mean distance of 236.57 meters, a nearest neighbor ratio of 0.3545, a z-score of -20.214, and a p-value of <0.001, indicating the presence of very strong spatial clustering at the micro level. These findings indicate that the spatial pattern of stunting in Piyungan Subdistrict depends on the scale of analysis; at the administrative level, no strong cluster was found, whereas at the individual level, there was significant case clustering. Thus, the results of this study confirm the importance of more targeted nutritional interventions in micro-clusters to improve the effectiveness of stunting prevention and management.
Co-Authors Resmiaini Resmiaini Resmiaini