SISTEM IDENTIFIKASI TITIK KRITIS HALAL MENGGUNAKAN ALGORITMA FORWARD CHAINING / ALEXANDER MOYA HIN, ADHI KUSNADI , MARLINDA VASTY OVERBREEK, OQKE PRAWIRA, YAMAN KHAERUZZAMAN, SYARIEF GERALD PRASETYA

PRASETYA, SYARIEF GERALD (2023) SISTEM IDENTIFIKASI TITIK KRITIS HALAL MENGGUNAKAN ALGORITMA FORWARD CHAINING / ALEXANDER MOYA HIN, ADHI KUSNADI , MARLINDA VASTY OVERBREEK, OQKE PRAWIRA, YAMAN KHAERUZZAMAN, SYARIEF GERALD PRASETYA. FEKBIS UNIVERSITAS BINANIAGA INDONESIA, BOGOR.

[thumbnail of Jurnal] Text (Jurnal)
Al Azhar_syarief.pdf - Published Version

Download (445kB)

Abstract

Halal products are obligatory to be used by people who are Muslim. When viewed in terms of the number of the Muslim population in the world and Indonesia, halal products have very potential economic opportunities. However, halal products have the risk of becoming non-halal if the
accompanying process and storage do not follow halal rules. Therefore, it is necessary to identify the critical halal point, the point where the potential for such change occurs. So far, identification is made manually, of course there will be opportunities for identification errors to happen and it will take a relatively long time. To overcome these problems, identification can use a computer-based system.
Forward chaining is an algorithm that is suitable for identifying halal points, because in SJH LPPOM
MUI there is a decision tree for identifying halal critical points which is carried out in the same forward
sequence as the forward chaining algorithm process flow. The development of a halal critical point identification system is carried out using the Software Development Life Cycle V-model method, the PHP programming language and the MySQL Database Management System. The system was successfully tested using Whitebox testing, including unit testing, integration testing, and overall system testing. Then testing using Blackbox testing techniques by comparing the results of identifying critical points using the system with the results of identifying critical points manually producing the same results. User satisfaction testing was also carried out using the End User Computing Satisfaction
method and obtained an average satisfaction score of 86.53%

Item Type: Other
Uncontrolled Keywords: halal products, critical halal point, AI, forward chaining
Subjects: Karya Iilmiah Dosen
Depositing User: badru badru badrudin
Date Deposited: 11 May 2026 06:48
Last Modified: 11 May 2026 06:55
URI: http://fekbis.repository.unbin.ac.id/id/eprint/673

Actions (login required)

View Item
View Item