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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Halal Research Journal of Applied Engineering and Technological Science (JAETS)
Khairur Rijal Jamaludin
Universiti Teknologi Malaysia
Religion Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Medicine & Pharmacology Other

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Taguchi's T-method with nearest integer-based binary bat algorithm for prediction Zulkifli Marlah Marlan; Khairur Rijal Jamaludin; Faizir Ramlie; Nolia Harudin
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3859

Abstract

Taguchi’s T-method is a new prediction technique under the Mahalanobis-Taguchi system to predict unknown output or future states based on available historical information. Conventionally, in optimizing the T-method prediction accuracy, Taguchi’s orthogonal array is utilized to determine a subset of significant features to be used in formulating the optimal prediction model. This, however, resulted in a sub-optimal prediction accuracy due to its fixed and limited feature combination offered for evaluation and lack of higher-order feature interaction. In this paper, a swarm-based binary bat optimization algorithm with a nearest integer discretization approach is integrated with the Taguchi’s T-method. A comparative study is conducted by comparing the performance of the proposed method against the conventional approach using mean absolute error as the performance measure on four benchmark case studies. The results from experimental studies show a significant improvement in the T-method prediction accuracy. A reduction in the total number of features results in a less complex model. Based on the general observation, the nearest integer-based binary bat algorithm successfully optimized the selection of significant features due to recursive and repetitive searchability, in addition to its adaptive element in response to the current best solution in guiding the search process towards optimality.
Designing Food Safety Management and Halal Assurance Systems in Mozzarella Cheese Production for Small-Medium Food Industry Nilda Tri Putri; Arif Kharisman; Ikhwan Arief; Hayati Habibah Abdul Talib; Khairur Rijal Jamaludin; Elsayed Ali Ismail
Indonesian Journal of Halal Research Vol 4, No 2 (2022): August
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v4i2.12996

Abstract

Indonesia's small and medium-sized enterprises (SMEs) are having difficulty implementing a food safety management and halal assurance system. This article aims to design a food safety and halal assurance system for Dairy Farm SMEs. This research designed a food system by identifying the application of Good Manufacturing Practices (GMP) and the HACCP to Dairy Farm SMEs based on the survey, in-depth interviews, and document standard review. The food safety system was implemented using HACCP, and six Critical Control Point (CCP) processes were identified, including milking (raw material), storage, pasteurization, curd filtering, and cheese packaging. The halal assurance system is implemented at Dairy Farm SMEs by identifying and improving the company's business processes and the mozzarella cheese production process. In addition, a Standard Operating Procedure (SOP) was developed, including a food safety system and a halal assurance system. The research results can be used wisely by Dairy Farm SMEs to assist in obtaining recommendations from the Food and Drug Supervisory Agency and halal certification.
Enhanced Taguchi’s T-method using angle modulated Bat algorithm for prediction Zulkifli Marlah Marlan; Faizir Ramlie; Khairur Rijal Jamaludin; Nolia Harudin
Bulletin of Electrical Engineering and Informatics Vol 11, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i5.4350

Abstract

Analysis of multivariate historical information in predicting future state or unknown outcomes is the core function of Taguchi’s T-method. Introduced by Dr. Genichi Taguchi under Mahalanobis-Taguchi system, the T-method combines regression principle and robust quality engineering element in formulating a predictive model and employs taguchi’s orthogonal array design in optimizing the model through feature or variable selection process. There is a concern regarding the sub-optimality of the T-method prediction accuracy, particularly when the orthogonal array failed to offer a significant number of combinations in search for an optimal subset of features. This is due to the fixed and limited combination offered for evaluation as well as the lack of higher-order interaction of combination. In response to this issue, this paper proposed an angle modulated Bat algorithm to be integrated with the T-method in optimizing the prediction model. A comparison study was conducted using energy efficiency benchmark datasets with the mean absolute error metric used as the performance measure. The results show that the proposed method improved the prediction accuracy by 10.74%, from 6.05 to 5.4, by integrating only four features over the original eight in the prediction model.
Identifying Factors for The Success of Halal Management Practices in Leather Industry Tengku Nurainun; Hayati Habibah Abdul Talib; Khairur Rijal Jamaludin; Shari Mohd Yusof; Nilda Tri Putri; Fitra Lestari
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v4i2.1989

Abstract

The need to apply halal management practices to non-food industries today is still merely seen as a necessity to meet the requirements of Islamic rules. Meanwhile, this approach has demonstrated that it can improve organizational efficacy in a variety of contexts. This study seeks to investigate the depth of halal principles implementation among leather industries and comes up with strategies for how small and medium-sized enterprises (SMEs) in the leather industry can use halal management practices to move toward halal certification and enhance its performance. An exploratory-descriptive approach was used to get the current state of halal practices among leather industry SMEs through interviews and survey questionnaires. Five stakeholders were interviewed in a semi-structured manner. A survey questionnaire was distributed to 127 SMEs in the leather industry center of Sukaregang, Garut, Indonesia. This paper discusses the key factors of halal implementation and determines which halal practices need more emphasis. The result showed that the current knowledge, awareness, and implementation of halal requirements among leather SMEs in Indonesia are still low. An action plan for the industry, authority, and supplier was provided.  The implication of this research can contribute to the leather industry players that intent to implement halal management system effectively and stakeholders in making decision to accelerate halal certification process.
Co-Authors Arif Kharisman Elsayed Ali Ismail Faizir Ramlie Fitra Lestari Hayati Habibah Abdul Talib Ikhwan Arief Nilda Tri Putri Nolia Harudin Shari Mohd Yusof Tengku Nurainun Zulkifli Marlah Marlan