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All Journal JURNAL PROMOSI KESEHATAN INDONESIA e-Journal Pustaka Kesehatan Jurnal Kesehatan Masyarakat (IKESMA) Jurnal Kedokteran Indonesia Jurnal Berkala Epidemiologi Damianus Journal of Medicine UNEJ e-Proceeding Jurnal Preventia BIOLINK (Jurnal Biologi Lingkungan, Industri, Kesehatan) Unnes Journal of Public Health
Yunus Ariyanto
Bagian Epidemiologi Dan Biostatistika Kependudukan Fakultas Kesehatan Masyarakat Universitas Jember
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Health Professions Immunology & microbiology Library & Information Science Medicine & Pharmacology Public Health

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Pemanfaatan Aplikasi SIG untuk Pembuatan Peta Jaringan Induk Air Bersih dan Saluran Komunal Limbah Fasilitas Kesehatan Ariyanto, Yunus; Pujiati, Rahayu Sri; Nuraini, Indah
UNEJ e-Proceeding 2023: Prosiding Kolokium Pengabdian kepada Masyarakat Fakultas Kesehatan Masyarakat
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Background: Health services are required to keep abreast of changes in technology and community needs. To fulfill these demands, service additions, and changes of health facilities are necessary. All of that makes changes to the health services' spatial layout and infrastructure. One of the elements is maps of the main network of clean water and communal sewers in accordance with the latest conditions of health facilities. Method: The map-making activity was carried out at the Jember Lung and Chest Hospital. The method used in making these maps is assistance in data collection and assistance from experts in digitizing maps using Geographic Information System. Results: Two maps are generated. The first map is the Clean Water Network Map, and the second map is the WWTP Communal Map. Conclusion: The implementation of activities went well and smoothly. GIS can be used as a tool for digitizing maps of health institutions. The digital map can be updated along with developments and changes that have occurred.Keywords: GIS, health facility, health service.
Determinan Diabetes Melitus pada Pasien Tuberkulosis: Case Control Study Wati, Desy Dwi Ambar; Ariyanto, Yunus; Prasetyowati, Irma
Bahasa Indonesia Vol 23 No 2 (2024): Damianus Journal of Medicine
Publisher : Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/djm.v23i2.3726

Abstract

Pendahuluan: Penderita TB dengan komorbid DM memiliki risiko sebesar 1,88 kali untuk mengalami kematian dan sebesar 1,64 kali mengalami kekambuhan sehingga menimbulkan peningkatan angka kecacatan, kematian dini, dan timbulnya kasus multi drug resisten baru. Penelitian ini bertujuan untuk menganalisis faktor yang memengaruhi kejadian diabetes melitus pada penderita tuberkulosis di RSUD Dr.Soeroto Kabupaten Ngawi. Metode: Penelitian ini menggunakan metode analitik observasional dengan pendekatan case-control yang dilaksanakan pada April - Agustus 2022. Subjek penelitian adalah penderita TB-DM dan TB sebanyak 82 orang dengan teknik pengambilan sampel menggunakan total sampling dan simple random sampling. Analisis data dilakukan dengan uji regresi logistik. Hasil: Hasil penelitian menunjukkan terdapat pengaruh usia (p=0,001), jenis kelamin (p=0,048), status merokok (p=0,027), riwayat diabetes (p=0,001), dan jenis tuberkulosis (p=0,003) terhadap kejadian diabetes melitus pada penderita tuberkulosis. Simpulan: Faktor yang memengaruhi kejadian diabetes melitus pada penderita tuberkulosis adalah usia, jenis kelamin, status merokok, riwayat diabetes pada keluarga, dan jenis tuberkulosis. Perlu adanya pemeriksaan kadar gula darah secara teratur, berhenti merokok, meningkatkan gaya hidup sehat dan menjaga daya tahan tubuh untuk menghindari tejadinya DM khususnya pada pasien tuberkulosis.
Diarrhea Risk Factors of Toddlers in Jember District, 2022 Annisa Fitrah Aini; Yunus Ariyanto; Adistha Eka Noveyani
Preventia : The Indonesian Journal of Public Health Vol 10, No 1 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um044v10i12025p50-57

Abstract

Diarrhea is a disease characterized by passing feces three or more times a day. The occurrence of diarrhea is also influenced by sociodemographic factors (nutritional status) and environmental factors (access to clean water, access to sanitary latrines, and living in flood-prone areas). The purpose of this research focuses on finding risk factors for diarrhea and mapping the risk factors of diarrhea. This study used an ecological study design, in which the population is all sub-districts in Jember. Secondary data were used in this research. The data were analyzed using statistical correlation analysis using SPSS and mapping using GIS software. The statistical analysis results between each risk factor and the incidence of diarrhea indicated that all the risk factors were correlated with diarrhea. Maps showed that each sub-district has different potential risk factors. Our recommendation is determining specific programs to be implemented in each area, considering potential risk factors.
DESCRIPTIVE EPIDEMIOLOGY OF DIPHTHERIA CASES IN JEMBER REGENCY, INDONESIA, 2023–2024: Epidemiologi Deskriptif Kasus Difteri di Kabupaten Jember Tahun 2023-2024 Khusnia, Esa Hidayatul; Noveyani, Adistha Eka; Ariyanto, Yunus
Jurnal Berkala Epidemiologi Vol. 14 No. 1 (2026): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V14I12026.25-33

Abstract

Background:  Diphtheria remains a significant public health concern in several regions of Indonesia, including Jember Regency, where periodic outbreaks persist. Purpose:  This study aimed to describe the distribution of diphtheria cases in Jember Regency from 2023 to 2024 based on person, place, and time. Methods:  A descriptive epidemiological study was conducted using secondary data from the Jember District Health Office, including all reported diphtheria cases from January 2023 to December 2024. The study population comprised all confirmed diphtheria cases during the study period, with data sources including case investigation forms, immunization records, and surveillance reports. Data were collected using a standardized extraction form and analyzed using descriptive statistics. Temporal trends were assessed through epidemic curves, while spatial distribution was mapped using Geographic Information System (GIS) software to visualize the relationship between immunization coverage and case occurrence. Results:  A total of 27 diphtheria cases, or approximately 1.04 cases per 100,000 population, were reported. Most cases occurred among children aged 14 years or older, and clusters of cases were observed in subdistricts with low immunization coverage. The epidemic curve revealed distinct peaks in 2023 during weeks 23–27 and 28–31, while in 2024, peaks occurred during weeks 1–5 and 23–27. While GIS mapping demonstrated a clear spatial distribution between under-immunized areas and increased diphtheria incidence. Conclusion:  Diphtheria cases were predominantly concentrated in areas with low immunization coverage, highlighting the need to strengthen immunization programs in vulnerable communities.
Co-Authors Adinda Intan Putri Pertiwi Adistha Eka Noveyani Adistha Eka Noveyani Aghnes Widayanti Alifia Sharfina Andrei Ramani Anisa Kusumaningsih Annisa Fitrah Aini Arina Mufida Ersanti Aryani, Maulidya Puji Balgis Putri Salindra Dessy Irwienna Putri Dimas B. C. Wicaksono Dimas BC Wicaksono Dwi Martiana Wati Dwi Prasetyo Utomo Emi Dwi Astuti Indah Nuraini, Indah Irma Prasetyowati Kamerawati, Choni Khusnia, Esa Hidayatul Mury Ririanty Ni’mal Baroya Noratikasari, Puji Dwi Prehatin Trirahayu Ningrum Pudjo Wahjudi Pudjo Wahjudi Rahayu Sri Pujiati Riskotin Thayibah Rosidah Fidiyaningrum Shavia Maulidina Zein Tania Hesti Novitasari Tri Valda Gilby Renata Wati, Desy Dwi Ambar