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All Journal Journal of Moeslim Research Technik Research of Scientia Naturalis
Charlotte Harris
University of Canberra
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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INDUSTRIAL ENGINEERING FOR HALAL MANUFACTURING PROCESSES: OPTIMIZING PLANT LAYOUT TO PREVENT CROSS-CONTAMINATION (NAJIS) Muhammad Umar Kelibia; Mona Al Johani; Charlotte Harris
Journal of Moeslim Research Technik Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i5.2502

Abstract

The halal industry plays a critical role in global food production, ensuring that products adhere to strict religious guidelines regarding cleanliness and purity. One of the key challenges in halal manufacturing processes is preventing cross-contamination, particularly the contamination of halal products with Najis (impure substances). A crucial aspect of this challenge lies in the design of plant layouts, which must be optimized to reduce the risk of contamination during production. This research aims to investigate how industrial engineering principles can be applied to optimize plant layout in halal manufacturing settings, focusing on preventing cross-contamination. The study employs a combination of simulation modeling and expert consultations to assess current plant layouts and propose improvements. The results show that a well-designed plant layout, incorporating designated areas for halal and non-halal products, along with streamlined workflow patterns, significantly reduces the risk of Najis contamination. Additionally, implementing proper separation of production lines, storage areas, and personnel flow further enhances product safety and compliance with halal standards. The study concludes that optimizing plant layout is an effective strategy for ensuring halal product integrity, and such improvements can be adapted across various manufacturing sectors. These findings provide valuable insights for halal food producers seeking to enhance quality control and prevent contamination
A MATHEMATICAL MODEL OF DENGUE FEVER TRANSMISSION DYNAMICS INCORPORATING CLIMATE VARIABILITY AND HUMAN MOBILITY IN INDONESIA Ela Laelasari; Charlotte Harris; Rit Som
Research of Scientia Naturalis Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i5.2505

Abstract

Dengue Fever remains a significant public health issue in Indonesia, with frequent outbreaks exacerbated by varying climatic conditions and human mobility. Understanding the dynamics of its transmission is critical to developing effective control strategies. This study aims to develop a mathematical model that incorporates climate variability and human mobility to assess the transmission dynamics of Dengue Fever in Indonesia. The model utilizes a compartmental framework, where the population is divided into susceptible, infected, and recovered individuals. The impact of climate factors such as temperature and rainfall, along with human mobility patterns, is integrated through differential equations. The study uses historical epidemiological data from the Indonesian Ministry of Health, alongside climate data from the Indonesian Meteorological Agency and human mobility data derived from mobile phone usage and transportation systems. Numerical simulations are conducted to predict the effects of climate variability and mobility on Dengue Fever outbreaks. Results indicate that both climate change and human mobility significantly influence the frequency and intensity of outbreaks, with certain regions being more vulnerable to epidemic peaks. The study concludes that incorporating environmental and social factors into epidemiological models can enhance the accuracy of Dengue Fever predictions and inform targeted intervention strategies.
Co-Authors Ela Laelasari Mona Al Johani Muhammad Umar Kelibia Rit Som