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All Journal Pancasakti Journal Of Public Health Science And Research
Sandra, Yopi Riski Mei
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Environmental Science Health Professions Nursing Public Health Other

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Implementation Of Good Manufacturing Practices (GMP) in The Home Industry of Kampung Lontong Surabaya Sandra, Yopi Riski Mei; Azizah, R.; Dewi, Reyna Sandrawati Cintya; Dariswan, Dinda Tiara Nurzahrah
Pancasakti Journal Of Public Health Science And Research Vol 5 No 2 (2025): PJPHSR
Publisher : Fakultas Kesehatan Masyarakat, Universitas Pancasakti, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/pjphsr.v5i2.1747

Abstract

The implementation of Good Manufacturing Practices (GMP) is essential in preventing food contamination caused by biological, physical, or chemical hazards that may pose risks to human health. This study aims to describe the implementation of GMP in Kampung Lontong Surabaya. The research employed a descriptive observational design, which seeks to illustrate existing conditions without administering any interventions to the observed objects. Data were collected using questionnaires and observation checklists. The data were analyzed descriptively through tabulation. The implementation of GMP during the lontong production process was found to have several critical control points, as the production environment presented a relatively high risk of contamination. Overall, the food production practices in Kampung Lontong have not yet fully adopted GMP standards. It is recommended that producers place greater emphasis on personal hygiene and food sanitation, beginning with proper washing of raw ingredients and continuing through to the transportation of finished food products.
Time Series Forecasting of Ship Departure Health Inspections for Strengthening Quarantine Surveillance Using the ARIMA Model Sandra, Yopi Riski Mei; Mahmudah, Mahmudah; Amoe, Acub Zaenal; Jumali, Jumali; Abriyanto, M.
Pancasakti Journal Of Public Health Science And Research Vol 5 No 3 (2025): PJPHSR
Publisher : Fakultas Kesehatan Masyarakat, Universitas Pancasakti, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/pjphsr.v5i3.2114

Abstract

ARIMA (Autoregressive Integrated Moving Average) is a time series analysis method used to evaluate data based on temporal patterns. The number of ship departure inspections conducted by the Probolinggo Class I Health Quarantine Center has shown fluctuations over time. These inspections are part of disease prevention efforts as regulated in the Indonesian Minister of Health Regulation No. 10 of 2023 concerning the Organization and Work Procedures of the Quarantine Technical Implementation Unit. This study aims to forecast the number of ship departure inspections at the Probolinggo Class I Health Quarantine Center. This research employed a non-reactive design using secondary data from 2020 to 2023, sourced from the Health Quarantine Information System (SINKARKES). The ARIMA (2,0,2) model provided the best fit, with good accuracy (MSE 685,277; MAPE 7.311). Forecasting results show an upward trend in ship departure inspections throughout 2024. This increase is highly relevant for public health, as stronger inspection activity supports quarantine surveillance, helps detect potential disease risks early, and improves preparedness against cross-border health threats.
Co-Authors Abriyanto, M. Amoe, Acub Zaenal Dariswan, Dinda Tiara Nurzahrah Dewi, Reyna Sandrawati Cintya Jumali Jumali Mahmudah Mahmudah R Azizah