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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Galaksi
Hugo, Veronika Novia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Application of ELECTRE Method for Selection of Diet Instant Noodles Hugo, Veronika Novia; Sekarsari, Yulia Ayu; Kencana Putri, Ida Ayu Putu Calista; J.A, Qurrotul Ainia; Sudipa, I Gede Iwan
Jurnal Galaksi Vol. 2 No. 1 (2025): Galaksi – May 2025
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v2i1.51

Abstract

Healthy eating is becoming increasingly important, particularly among university students who often prefer convenient foods like instant noodles. However, not all instant noodles provide suitable nutritional content for dieting. This study aims to determine the best instant noodles for diet purposes using the ELECTRE (Elimination and Choice Expressing Reality) method, a multi-criteria decision- making approach. Data were collected from INSTIKI students via a questionnaire that covered criteria such as calorie content, fiber, fat, price, and taste. The ELECTRE method was then applied to analyze the data based on predetermined preferences and criteria weightings. Results identified the most suitable instant noodles for dietary needs, ranked highest in the ELECTRE analysis. This study aims to guide consumers in making healthier choices and provide insights for manufacturers to improve product quality.
Decision Model for Best Contraceptive Technique Recommendation Based on Patient's Ideal Profile Hugo, Veronika Novia; Sudipa, I Gede Iwan; Libraeni, Luh Gede Bevi; Pratistha, Indra; Atmaja, Ketut Jaya
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15377

Abstract

Choosing the right contraceptive method is essential to support the success of family planning programs. Many patients still choose methods without considering their medical conditions, which can lead to failure or side effects. This study designed a decision-making model based on Profile Matching to recommend contraceptive methods according to the patient’s ideal profile. The dataset was obtained from Faskes Level 1 Udayana Denpasar. Validation was conducted through discussions with midwives as experts, referring to the KLOP KB Wheel as the standard issued by the WHO. The evaluation results show a high level of agreement between the model’s recommendations and expert judgments, indicating that the model provides more objective and easily understood recommendations compared to manual approaches.
Co-Authors Atmaja, Ketut Jaya I Gede Iwan Sudipa Indra Pratistha J.A, Qurrotul Ainia Kencana Putri, Ida Ayu Putu Calista Libraeni, Luh Gede Bevi Sekarsari, Yulia Ayu