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Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

Analisa Metode Profile Matching Pada Pemilihan Susu Rendah Lemak Berdasarkan Konsumen Sari, Hanifah Urbach; Windarto, Agus Perdana; Winanjaya, Riki; Hartama, Dedy; Damanik, Irfan Sudahri
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2590

Abstract

Milk is a source of nutrition for humans, especially in infants who cannot digest food. Milk has a high calcium content and can strengthen human bones. This study aims to recommend low-fat milk as a recommendation to consumers to determine the right milk product. Data collection methods used were interview techniques and questionnaire random sampling to 60 respondents who used low-fat milk at STIKOM Tunas BangsaPematangsiantar. Based on the results of interviews and questionnaires, the assessment criteria were obtained, namely price (K1), side effects (K2), packaging (K3), and availability of goods (K4). The alternatives used in the study were Ultra Milk Low Fat (S1), Bear Brand Gold (S2), Frisian Flag (S3) and Hilo Teen (S4). The settlement method applied is POFILE MATCHING. The results of the algorithm show that the right alternative is for the highest ranking Hilo Teen (S4) with a final score of 88.95 and followed by Ultra Milk Low Fat (S1) with a final score of 86.325. The results of the study are expected to provide recommendations to consumers to determine the right low-fat milk.Keywords: Milk, Nutrition, Profile Matching, Decision Suport System, Product Selection
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PREWEDDING MENGGUNAKAN METODE WEIGHT PRODUCT Syahputra, Muhammad Riza; Winanjaya, Riki; Okprana, Harly
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1680

Abstract

Marriage is the most awaited moment for everyone. Prawdding is an important thing to do before a wedding. Because prewedding photos become the latest trend for photos that will be displayed during the wedding. But in a lot of prewedding photos brides who are not satisfied with the results of these prewedding photos. This system can facilitate the bride and groom in choosing the location of prawedding photos without the need to meet in person to consult. This decision making system is made using the Weight Product method and is made with the php programming language and MySQL database. The WP method is used to find optimal alternatives from a number of alternatives. The selection of the location of the prewedding photo uses weighting for each criterion. The bride and groom can choose the desired location based on criteria such as the number of spots, themes, location distance, number of shoots with weights determined by the user based on the level of importance. The results of this system are displaying praweding locations based on the location of prawedding photos that can be ordered by the bride and groom. The selection of prewedding photo locations can be done optimally so that the results of the decision are as expected.Keywords: Decision Support System, Prewedding Location, Product Weight