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Journal : Journal of Educational Engineering and Environment

Application of Computer Vision for Digital Encyclopedia of Chili Varieties (Capsicum spp.) Zamzami, Muhammad Viqih; Fitri, Zilvanhisna Emka; Madjid, Abdul; Imron, Arizal Mujibtamana Nanda
Journal of Educational Engineering and Environment Vol. 3 No. 1 (2024): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/jeee.v3i1.3831

Abstract

Chili is a vegetable commodity that has high economic value so that its production always increases every year. Several types of chilies are cultivated in Indonesia, namely cayenne pepper (Capsicum frutescens), curly red chili (Capsicum annuum L. var. longum), large red chili (Capsicum annuum L.) and paprika (Capsicum annuum var. grossum). Indonesia is a country that continues to develop innovation to produce many superior varieties, especially chilli plants. The problem arises that variations of other superior chili varieties can only be accessed through the official website of the ministry of agriculture, however, the data that can be accessed is limited (in the form of descriptions of chili varieties without physical appearance such as photos) so that it is quite difficult for the community and farmers to cultivate or utilize these varieties. This made researchers develop a digital encyclopedia of chili types using computer vision. This study uses a combination of digital image processing and intelligent systems. The image processing used is preprocessing such as cropping and splitting of RGB components, image segmentation and shape feature extraction. The features used are area, perimeter, major axis length, minor axis length and eccentricity. This feature is the input of the Naïve Bayes method which produces a system accuracy rate of 92%.
Genshin Impact Game Character Selection Using Weighted Product Mubarok, Sulton; Fitri, Zilvanhisna Emka; Imron, Arizal Mujibtamala Nanda
Journal of Educational Engineering and Environment Vol. 3 No. 1 (2024): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/jeee.v3i1.3816

Abstract

The recurring problem among Genshin Impact players in choosing characters, especially for new players, is a common issue. Therefore, this study aims to develop a decision support system to assist players in selecting characters using the weighted product method. The study was conducted by collecting data on the available characters in Genshin Impact and evaluating relevant criteria such as character rarity, role, weapon, and element. There are 52 characters or alternatives used in this study. The weighted product method was used to determine the relative weights of each criterion and then used to calculate the value of each character. In conclusion, the implementation of the weighted product method has been successfully carried out based on the three main steps, which are determining the weight of criteria, normalizing alternatives, and determining the preference of each alternative. From the results of the system testing that has been conducted by 25 users, a percentage of 84% was obtained based on user satisfaction with the decision support system for character selection in the Genshin Impact game. 9 respondents chose the option "strongly agree" and the remaining 16 chose the option "agree", indicating that the system is satisfactory for what the users want.