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All Journal Jurnal Kesehatan Masyarakat Journal of Industrial Hygiene and Occupational Health (JIHOH) Jurnal Penelitian Pendidikan IPA (JPPIPA) Holistik Jurnal Kesehatan Jurnal Kesehatan Masyarakat dan Lingkungan Hidup Binawan Student Journal JPMB Parahita BOHSEJ (Bhamada Occupational And Health Safety Environment Journal) JABI: Jurnal Abdimas Bhakti Indonesia
Purba, Yunita Sari
Universitas Binawan
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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WEB-BASED CLIMATE CHANGE DISEASE DIAGNOSIS EXPERT SYSTEM USING FORWARD CHAINING METHOD Rudyarti, Edwina; Sulandari, Uci; Purba, Yunita Sari
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11891

Abstract

Climate change in Indonesia has a significant impact on public health due to extreme weather that triggers various diseases, such as diarrhea, influenza, pruritus, ARI, malnutrition, and stress. This study aims to design and implement a web-based expert system with the Forward Chaining method to help the community make early diagnoses of diseases affected by climate change. The research method uses a descriptive design and a cross-sectional approach. The location of the study was carried out at the Mekarmukti Health Center, North Cikarang with a sample consisting of 100 patients who experienced symptoms of climate-related diseases and were selected using the Simple Random Sampling technique. Data were collected through observation, interviews, and literature studies, then the questionnaire data were analyzed using the Chi Square test to evaluate the level of user satisfaction with the expert system. The results of the study showed that this system was able to effectively diagnose diseases due to climate change such as pruritus (P01), diarrhea (P02), and influenza (P03) which are commonly found in the Cikarang area. This system has proven to be useful as an information technology innovation that provides accurate symptom and diagnosis information like an expert. In conclusion, this expert system can be widely accessed by the public and functions as an early diagnosis aid in health care facilities in dealing with diseases impacted by climate change.
Analysis of Water Pollution in The Musi River Due to Community and Industrial Activities Using Onlimo Purba, Yunita Sari; Sulandari, Uci; Lelitasari, Lelitasari; Arjuni, Defi
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.5967

Abstract

The Musi River is a natural resource which is one of the main trade routes and the largest air supplier for the people of South Sumatra. However, the condition of the Mus River has undergone changes due to dense settlements and industry. Water quality is an important factor in the sustainability of an ecosystem. Ecosystem damage can start from declining air quality which results in industrial waste that pollutes the Musi River. Water quality measurement parameters include measurements of oxygen, TSS, COD, BOD. Observation station sampling was carried out using Onlimo telemetry technology.  Onlimo is a remote, online and real-time air quality monitoring technology developed by BPPT. Sampling was carried out during the transition season on the Musi River which was divided into station 1 located in the Musi River (PDAM Tirta Randik area, Balui Air Unit, Sanga Desa District). On May 10, 2023 there was a pollution index of 7.32 with moderate contamination with the critical parameters Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD). There was an increase in the Pollution index of 7.51 due to an increase in Nitrate from 16 May 2023 to 17 May 2023 due to input from anthropogenic waste caused by differences in sampling time, besides that season and rainfall are reported to play an important role in dissolving a number of components in the waters. For this reason, to prevent and improve the function of the Musi River, namely the government must act decisively on violations committed by factories or companies or the public who dispose of waste carelessly
Co-Authors Agung Cahyono Triwibowo Annisa Tri Wahyuni Arjuni, Defi Destriyana, Destriyana Ferdiansyah, Mohammad Fahri Hendrawati, Lulus Suci husen husen Lelitasari, Lelitasari Lestari, Putri Winda Lulus Suci Hendrawati Rahmawati, Yuli Dwi Rakan, Ghaly Nur Muhammad Sahuri Sahuri Sahuri, Sahuri Sihombing, Denita Romauly Triwibowo, Agung Cahyono Uci Sulandari Widyaputra, Gama