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All Journal Indonesian Journal of Geography ASPIRATOR Jurnal Manajemen Kesehatan Indonesia JIMKesmas (Jurnal Ilmiah Mahasiswa Kesehatan Masyarakat) Jurnal Penelitian Kesehatan Suara Forikes Qanun Medika - Medical Journal Faculty of Medicine Muhammadiyah Surabaya Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Kedokteran dan Kesehatan Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Preventif Journal Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal) PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Faletehan Health Journal NERSMID: Jurnal Keperwatan dan Kebidanan JIK- JURNAL ILMU KESEHATAN Spatial : Wahana Komunikasi dan Informasi Geografi Medical Technology and Public Health Journal JURNAL MUTIARA KESEHATAN MASYARAKAT JSAI (Journal Scientific and Applied Informatics) Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat Journal of Applied Health Management and Technology PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal Ners Jurnal Cahaya Mandalika J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Jurnal Indonesia : Manajemen Informatika dan Komunikasi Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Indonesian Journal of Cancer Berita Kedokteran Masyarakat SEHAT : JURNAL KESEHATAN TERPADU Jurnal Masyarakat Sehat Indonesia Jurnal manajemen informasi kesehatan Jurnal Multidisiplin Indonesia Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal) Perilaku dan Promosi Kesehatan: Indonesian Journal of Health Promotion and Behavior Unnes Journal of Public Health Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Martya Rahmaniati
Departemen Biostatistik Dan Kependudukan, Fakultas Kesehatan Masyarakat, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021 Inggarputri, Yuanita Rizky; Trihandini, Indang; Novitasari, Prihatini Dini; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6462

Abstract

Purpose: This research aims to examine the spatial relationship between tuberculosis cases and population density and their spatial diffusion patterns in Bekasi Regency in 2017-2021. Methods: Research using an ecological study design using spatial analysis to estimate and analyze the distribution of tuberculosis prevalence related to population density in 23 sub-districts in Bekasi Regency, compare data from 2017 to 2021 and evaluate the spatial correlation. The data is taken from secondary data from the Bekasi District Health Office for 2017-2021. Results: This study shows a spatial autocorrelation between tuberculosis cases and population density from 2017 to 2021 (I>E; p-value <0,05). There is spatial diffusion of cases characterized by expanding clusters with high tuberculosis cases. High-high cluster in 2017, there was one sub-district. In 2018 there was also one sub-district. In 2019 there were two sub-districts. In 2020, there were three sub-districts. And in 2021, there were five districts. Conclusion: This research shows a positive spatial autocorrelation in the incidence, which is influenced by population density in Bekasi Regency from year to year (2017-2021) with a clustering pattern.
Mapping the spread of dengue hemorrhagic fever (DHF) with the level of insecurity in Kepahiang Regency in 2021 Dwitasari, Indah; Trihandini, Indang; Indriyani; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6491

Abstract

Purpose: This study aims to map the distribution of dengue cases in Kepahiang Regency based on the distribution of dengue cases, population density, and air temperature. Furthermore, mapping was carried out based on the level of vulnerability and priority of sub-district-based dengue disease management in Kepahiang Regency. Method: Research using a descriptive method using Geographic Information System (GIS) with scoring and overlay techniques. The data was taken from secondary data from the Kepahiang Regency Health Office and Kepahiang Regency Meteorology and Geophysics Agency in 2021. Results: This study shows that out of 8 sub-districts, there is one with a high level of vulnerability with priority handling, namely Kepahiang Regency. The priority of dengue insecurity can be an effort to prevent and handle dengue disease by the Government. Conclusion: Mapping the level of dengue insecurity in Kepahiang Regency using parameters (dengue cases, population density, and temperature) resulted in 1 in 8 sub-districts being in priority 1 with a high level of insecurity, priority 2 (1 sub-district) with a moderate level of insecurity, priority 3 (1 sub-district) with a low level of insecurity, and priority 4 (5 sub-districts) with a very low level of insecurity.
Spatial analysis of pediatric pulmonary tuberculosis cases aged 0-14 years in West Java Province Laferani, Yuni; Makful, Martya Rahmaniati; Soviadi, Nabila Vebiana
BKM Public Health and Community Medicine Vol 39 No 02 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i02.6659

Abstract

Purpose: Infectious diseases, including tuberculosis (TB), remain a major public health concern worldwide, causing significant morbidity and mortality rates. Despite advances in medical science, the spread of infectious diseases such as TB is not limited by geography or age, and children are particularly vulnerable. As such, this study aims to investigate the global and local spatial effects of pediatric pulmonary TB cases in West Java Province, contributing to understanding TB transmission dynamics and informing effective disease control strategies. Methods: This ecological study employed aggregated data from the 2020 health profile of West Java Province, utilizing all 27 districts and cities. Natural breaks were utilized to classify cases, and data analysis was conducted using GeoDA and QGIS applications. Specifically, GeoDa was employed to conduct Moran's Index and Local Indicators of Spatial Association (LISA) spatial autocorrelation tests, while QGIS was used to generate distribution maps. Results: The study reveals the presence of positive autocorrelation with clustered relationship patterns globally based on the incidence of pediatric pulmonary TB cases (Moran's I: 0.225; P-value: 0.04). The LISA test identifies six districts with significant correlation (Bandung, West Bandung, Cimahi, Ciamis, Majalengka, and Tasikmalaya). Conclusion: The study findings reveal that cases of childhood pulmonary tuberculosis occur in clusters, emphasizing the importance of targeted interventions in areas with high observation values to prevent the spread of the disease to areas with low observation values. Prioritizing program interventions in high-risk areas can help reduce the incidence of children's pulmonary TB cases more effectively.
Spatial analysis of under five years pneumonia incidence in DIY Province 2020 Kusumadewi, Ni Nengah Sri; Makful, Martya Rahmaniati; Meutia, Liza
BKM Public Health and Community Medicine Vol 39 No 04 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i04.6669

Abstract

Purpose: Globally, pneumonia is a major cause of morbidity and mortality, as the largest burden of disease and death in developing countries. In 2018, more than 19,000 children under five died from pneumonia. The Under-five Mortality Rate (AKBa) reflects the social, economic, and environmental conditions in which children live and maintain their health. WHO issued an integrated global action to prevent and control the incidence of pneumonia and diarrhea (GAPPD). Yogyakarta is in the second position with the highest prevalence of pneumonia under five (3.7%). To carry out a more focused pneumonia prevention program, spatial pattern analysis is needed both globally and locally, this study examines whether there is a global and local spatial correlation in the number of pneumonia cases under five years in Daerah Istimewa Yogyakarta (DIY) in 2020. Methods: This ecological study uses aggregated data at the sub-district level. DIY Province has 78 sub-districts that serve as the unit of analysis. Results: The global spatial autocorrelation test on the number of cases of toddler pneumonia in DIY is significantly positive. High-high areas include the sub-districts of Semin, Ponjong, Rongkop, Semanu, Karangmojo, Wonosari, Playen, Paliyan, Saptosari and Panggang. Hot spots were found in the southeastern region. A closer look at the sub-districts in the hotspot area, all from Gunung Kidul Regency, shows that specific interventions targeting these areas must be strengthened, regional health planning and resource allocation. Conclusion: A cluster correlation (clustering) exists spatially with the number of toddler pneumonia in the DIY. Locally, it can be seen that the hot spots (high-high) and low-high districts are found in one district. So it is a priority area that needs comprehensive handling but with a different emphasis according to the characteristics of each sub-district in one district.
Spatial analysis of diarrhea in toddlers and environmental factors in the East Java Province Indonesia Sakti, Eka Satriani; Makful, Martya Rahmaniati; Tampubolon, Romariana Dewi
BKM Public Health and Community Medicine Vol 39 No 06 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i06.7973

Abstract

Purpose: The objective of this study was to conduct spatial analysis on the incidence of diarrhea in toddlers in East Java and to examine its relationship with environmental factors such as percentage of families with access to proper sanitation (healthy latrines), percentage of ODF (Open Defecation Free) villages, and percentage of drinking water facilities that meet the requirements in each district/city in East Java. Methods: The study utilized a cross-sectional study design with the 2020 East Java Province Health Profile serving as the data source. Moran's Index and the LISA bivariate test were used for the spatial analysis. Results: The findings revealed that there is a spatial autocorrelation in the number of diarrhea cases in toddlers (I value: 0.28, p value: 0.009). Out of the districts/cities studied, only 5 exhibited significant spatial correlation (Gresik, Sidoarjo, Mojokerto, Magetan, and Surabaya City) based on the LISA bivariate test results. Conclusion: Efforts to decrease the incidence of diarrhea cases in toddlers should focus on increasing the scope of environmental health programs, particularly in quadrant 1 (High-High) and 2 (Low-High) areas. Further analysis is required within the sub-district and village scope.
Spatial analysis of rabies-transmitting animal bite cases in North Tapanuli Regency, North Sumatera Province in 2016-2020 Simanjuntak, Saidah Fatimah Sari; Sipahutar, Tiopan; Mafkul, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 40 No 02 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v40i02.11278

Abstract

Purpose: Rabies is a priority strategic disease because it has an impact on socio-economic and public health. This study aims to describe the incidence of rabies-transmitting animal bite cases in North Tapanuli Regency in 2016-2020, contribute to understanding the dynamics of cases, and provide effective information in controlling cases of animal bites that transmit rabies. Methods: Ecological study using aggregated data. The data was collected from monthly reports of rabies cases at the North Tapanuli Regency Health Service in 2016-2020. As a unit analysis, all districts are used. QGIS and GeoDA software are used for data analysis. Through GeOda software, spatial autocorrelation analysis was carried out globally using Moran's I test and locally using the LISA test. Results: Rabies-transmitting animal bite cases had a dispersed pattern in 2016 (I<E[I]) and a clustered pattern (I>E[I]). Globally, there is positive spatial autocorrelation in rabies-transmitting animal bite cases between districts in North Tapanuli Regency in 2017 and 2020 (p-value < 0.05). Moran's cluster map shows that locally in 2016-2020, the districts in the quadrant I (High-High) are Siborongborong and Sipoholon. Quadrant II (Low-High) is Adiankoting and Pagaran. Quadrant III (Low-Low) is Pangaribuan, and quadrant IV (High-Low) is Pahae Jae and Pangaribuan. Conclusion: Globally, cases of animal bites that transmit rabies in North Tapanuli Regency occur in clusters. It means that the number of bite cases in one area is related to the number of cases in other nearby areas. Therefore, rabies control program interventions in areas with high observation values must be prioritized so they do not spread to areas with low observation values.
Evaluating spatial analysis of tuberculosis prevalence to identify priority districts or municipalities that need policy attention in West Java Emilia Pandin Madao; Hermawati, Ema; Putri, Nur A’isyah Amalia; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 40 No 04 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v40i04.12160

Abstract

Purpose: This study assesses the spatial autocorrelation of tuberculosis (TB) with population density, poverty, personal hygiene and environmental sani- tation (perilaku hidup bersih sehat, PHBS), and housing quality to identify critical areas for targeted TB management in West Java. Methods: This ecological study analyzes secondary data from all TB patients across 27 regencies/cities in West Java Province for 2022. Spatial patterns were examined using the Global Moran's Index and Local Indicators of Spatial Association (LISA). Results: The analysis revealed significant clustering of TB prevalence with population density (p-value = 0.001) and PHBS (p-value = 0.047). At the same time, dispersion was noted with poverty (p-value = 0.355) and a non-significant clustering with housing quality (p-value = 0.270). Notably, ten regencies/cities exhibited significant local spatial autocorrelat- ion, indicating priority areas for intervention. Conclusion: TB prevalence in West Java show a positive spatial correlation with population density and PHBS, indicating clustered patterns that necessitate focused policy attention. The absence of a spatial correlation between poverty and housing quality suggests different intervention strategies may be required. TB intervention should be prioritized in areas like Bekasi Regency, Bekasi City, Bogor Regency, Bogor City, Cianjur Regency, and Depok City, where TB prevalence is significantly associated with key spatial factors.
Spatial Model of Geographic Distribution of Leprosy Cases in East Java Province, Indonesia Makful, Martya Rahmaniati; Handayani, Yolanda; Nugraha, Fajar
Unnes Journal of Public Health Vol. 13 No. 2 (2024)
Publisher : Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujph.v13i2.4188

Abstract

 Leprosy is an infectious disease and serious health problem that causes disability. According to the World Report on Disability from the World Health Organization (WHO), leprosy is one of the main causes of disability. It can be transmitted through inhalation or contact with patients, which allows it to spread easily and generally occurs in developing countries, including Indonesia. The number of leprosy cases in Indonesia also fluctuates every year, particularly in East Java Province. This study aimed to apply leprosy spatial modeling by evaluating the heterogeneity of data distribution in East Java Province. Using data from the health profile of the East Java Province, the study analyzed socioeconomic variables, access to health services, and the condition of the home environment. Spatial analysis using Moran’s Index and the Spatial Error Model was employed to obtain spatial distribution and modeling patterns. Variables such as Human Development Index, poverty, access to healthcenters, and the physical condition of the home environment spatially affect leprosy cases. Cross-sectoral collaboration is needed to address leprosy cases. 
Analisis Autokorelasi Spasial Kasus Demam Berdarah Dengue di Kota Padang Tahun 2020 Yuliana, Roma; Rahmaniati, Martya; Apriantini, Inna; Triarjunet, Robet
JIK-JURNAL ILMU KESEHATAN Vol 6, No 1 (2022): JIK-April Volume 6 Nomor 1 Tahun 2022
Publisher : UNIVERSITAS ALIFAH PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33757/jik.v6i1.484

Abstract

Demam Berdarah Dengue (DBD) merupakan penyakit yang menular dengan cepat, khususnya di wilayah tropis dan subtropis. Salah satu kota yang merasakan dampak dari kasus DBD adalah Kota Padang. Pada tahun 2020, terdapat 292 kasus dan menjadikan Kota Padang sebagai penyumbang kasus terbanyak di Provinsi Sumatera Barat. Penelitian ini bertujuan untuk menguji efek spasial global dan lokal kasus DBD yang dihubungkan dengan jumlah penduduk, kepadatan penduduk, suhu udara, curah hujan dan kecepatan angin tahun 2020 di Kota Padang. Analisis data pada penelitian ini menggunakan Metode Moran’s Index dan Local Indicators of Spatial Association (LISA) dengan uji statistik pada program GeoDa. Hasil analisis menemukan adanya autokolerasi spasial positif antara jumlah penduduk, suhu, dan kecepatan angin dengan kasus DBD (pola mengelompok). Terdapat 8 kelurahan yang menjadi area hotspot (High-High) dalam hubungan jumlah penduduk dan suhu dengan kasus DBD yaitu Kelurahan Kuranji, Korong Gadang, Pasar Ambacang, Lubuk Lintah, Anduring dan Gunung sarik, Kurao Pagang dan Lubuk Minturun. Kemudian adanya  autokorelasi spasial negatif antara kepadatan penduduk dengan kasus DBD (pola menyebar) dan tidak adanya autokorelasi spasial antara curah hujan dengan kasus DBD. Dinas Kesehatan Kota Padang diharapkan dapat bekerjasama dengan pihak kecamatan, kelurahan dan BMKG Kota Padang dalam program pencegahan dan penanggulangan penyakit DBD.
AUTOKORELASI SPASIAL PREVALENSI BAYI BERAT BADAN LAHIR RENDAH DI PROVINSI JAWA TENGAH DAN JAWA TIMUR TAHUN 2022 Hariastuti, Dwi Ristiani; Anggondowati, Trisari; Makful, Martya Rahmaniati
Jurnal Manajemen Kesehatan Indonesia Vol 12, No 1 (2024): April 2024
Publisher : Magister Kesehatan Masyarakat, Fakultas Kesehatan Masyarakat, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmki.12.1.2024.45-59

Abstract

Latar Belakang: Secara global, berat badan lahir rendah (BBLR) merupakan masalah kesehatan masyarakat yang signifikan. Prevalensi BBLR di Indonesia pada tahun 2022 sebesar 3,3%, dimana prevalensi BBLR di provinsi Jawa Tengah dan Jawa Timur melebihi prevalensi di Indonesia (5,1% di Jawa Tengah dan 4,1% di Jawa Timur). Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan antar wilayah di Provinsi Jawa Tengah dan Provinsi Jawa Timur berdasarkan prevalensi BBLR pada tahun 2022. Metode: Penelitian ini menggunakan pendekatan analisis spasial dengan jenis penelitian observasional, dimana unit analisisnya adalah kabupaten/kota. dan kota di Provinsi Jawa Tengah dan Jawa Timur dengan menggunakan data sekunder. Hasil: Penelitian menunjukkan bahwa secara global terdapat autokorelasi spasial positif dengan pola sebaran spasial mengelompok berdasarkan prevalensi BBLR (I = 0,224) dan secara lokal terdapat autokorelasi antara kabupaten/kota di Jawa Tengah dan Jawa Timur berdasarkan prevalensi BBLR (E(I) = - 0 ,0139). Kesimpulan: Intervensi program menurunkan prevalensi BBLR menyasar daerah hotspot yaitu Kabupaten Banjarnegara, Kebumen, Purbalingga, dan Wonosobo (Jawa Tengah) serta Kabupaten Probolinggo (Jawa Timur). Namun perlu juga adanya intervensi terhadap wilayah sekitar (tetangga).
Co-Authors Abimayu, Anggi Tria Adella, Tiara Ahmad Khumaidi Annaja Aldila Riznawati Aldila Riznawati Andrean, Jessie Angesti, Raissa Lingga Anggi Tria Abimayu Apriantini, Inna Artha Prabawa Atmiroseva, Atmiroseva Besral . Deny Yudhistira Deny Yudhistira Deny Yudhistira Deny Yudhistira Desya Mulyaningrum Dewi Susanna Dewi, Romariana Dhamayanti, Grahyta Dian Fajar Hapsari Dian Mulya Sari Dian Pratiwi Dion Zein Nurizin Dwisaputro, Sigit Dwitasari, Indah Emilia Pandin Madao Fajar Nugraha Fajar Nugraha Falupi, Lilik Aryani Fentia Budiman Fifi Dwijayanti Fitri, Laelatul Gea Puteri Utami Grahyta Dhamayanti Gustina, Ira Hanafi, Nurrachda Handayani, Yolanda Hariastuti, Dwi Ristiani Hendi Setiadi Hermawati, Ema Huda Rahmawati Ina Rahayu Ginting Indah Sri Wahyuni Indang Trihandini Indriyani Inggarputri, Yuanita Rizky Inna Apriantini Intansari Intansari Jesa Nuhgroho Jilan Salshabilla Mutaqin Kemal N. Siregar Kholifatul Mardiah Kusumadewi, Ni Nengah Sri Laelatul Fitri Lestari, Andini Ayu Lestiantoro, Sebalt Liza Meutia Manendra Muhtar Mario Ekoriano Meutia, Liza Milla Herdayati, Milla Mochamad Anwarid Ardans Pratama Muhammad Aulia Rahman Mulyaningrum, Desya Mutaqin, Jilan Salshabilla Muthmainnah Muthmainnah Muthmainnah Muthmainnah Nabila Vebiana Soviadi Nashriyah, Siti Fadhilatun Ni Nengah Sri Kusumadewi Nia Watri Wahyuni Novitasari, Prihatini Dini Nugroho, R Nasrullah Nur Nuhgroho, Jesa Nuridzin, Dion Zein Nurizin, Dion Zein Nurvita Ruwandasari Nurzahara Bagus Okfriani, Coraima Pamadi, Nayaka Nayottama Popy Yuniar Popy Yuniar Putri, Nur A’isyah Amalia Putu Dian Karmana Putu Dian Karmana R Sutiawan Rahmawati Jalih Ratih Trivalni Regita Septiani Regita Septiani Retnowati Retnowati Risma Risma Rita Damayanti Riznawati, Aldila Robet Triarjunet Roma Yuliana Sabarinah Prasetyo safitri widayanti Sakti, Eka Satriani Simanjuntak, Saidah Fatimah Sari Sipahutar, Tiopan Sofiyulloh, Sofiyulloh Sofwatun Nida Srimayarti, Berly Nisa Suharyo Adijoyo Nugroho Sutanto Priyo Hastono Sutanto Priyo Hastono Sutiawan, R Tampubolon, Romariana Dewi Teti Tejayanti Teti Tejayanti Tiara Adella Tiopan Sipahutar Tri Wahyudi Triarjunet, Robet Tris Eryando Trisari Anggondowati Verry Adrian Wiyanti, Zulvi Yohana Septianty Isabel Yolanda Handayani Yudhistira, Deny Yuli Puspita Devi Yuli Puspita Devi Yuli Puspita Devi Yunanda, Rista Yuni Laferani Zainul Khaqiqi Nantabah