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All Journal JPKMI (Jurnal Publikasi Kesehatan Masyarakat Indonesia) Islamika : Jurnal Ilmu-Ilmu Keislaman Jurnal Kesehatan Indonesia Jurnal Pengabdian Masyarakat Sains dan Teknologi Menawan : Jurnal Riset dan Publikasi Ilmu Ekonomi Venus: Jurnal Publikasi Rumpun Ilmu Teknik Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Fortech : Journal of Information Technology Jurnal Publikasi Teknik Informatika
Helmina Helmina
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Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Implementation of the TOPSIS Method for Determining Raw Material Selection at Mooi Cake Simpang IV Sipin Branch Aldy Suryawinata; Ediansa, Oka; Akbar, Zulfikri; Santoso, Heri; Helmina Helmina
Jurnal Publikasi Teknik Informatika Vol. 5 No. 1 (2026): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v5i1.6397

Abstract

The development of the culinary industry, particularly in bakery and cake shop businesses, requires companies to maintain consistent product quality while managing production costs efficiently. One important factor influencing production performance is the proper selection of raw materials. Mooi Cake Simpang IV Sipin Branch faces challenges in determining the best raw materials due to the availability of several suppliers with different characteristics, while the selection process is still conducted manually and tends to be subjective. Therefore, this study aims to apply the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method within a decision support system to support objective and structured decision making. This research uses a quantitative approach with a decision support system method. Data were collected through observation, interviews, and literature review, then analyzed using the TOPSIS method by considering six criteria, namely price, quality, delivery timeliness, raw material availability, supply consistency, and supporting criteria. The analysis stages include constructing a decision matrix, normalizing data, weighting criteria, determining positive and negative ideal solutions, calculating distances, and determining preference values and rankings. The results show that the TOPSIS method produces clear and easily understood preference values, making it easier for management to select the most suitable raw materials. Based on the results, Raw Material 2 obtained the highest preference value and is recommended as the best alternative for Mooi Cake Simpang IV Sipin Branch. The implementation of the TOPSIS method is expected to reduce subjectivity, improve decision-making effectiveness, and support operational efficiency and product quality improvement.
Co-Authors Akbar, Zulfikri Aldy Suryawinata Alumni STIKES Husada Borneo Amelia Rianti Aulia Septia Ningrum Dani, Rian Dian Rosadi Ediansa, Oka Ermaini Ermaini Ermina Syainah Hadrianti H.D. Lasari Heri Santoso Hetty Rohayani Kayla Risma Marfisya M. Fiqram Chan Safetra M. Jumain M.Rezan Prayogi Muhammad Ikhsan muhammad irfan Mustika Mustika Nayla Desviona Noor Ahda Fadillah Norbaiti, Norbaiti Oka Ediansa Politeknik Kesehatan Banjarbaru Rian Dani Rika Neldawaty Rudi Fakhriyadi Siswoyo Siswoyo Siti Hasanah STIKES Husada Borneo Tertia, Farhan Adhimukti Trie Hierdawati Yuliana Salman Zulfikri Akbar