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All Journal EKONOMIA TEPIAN KLIK: Kajian Ilmiah Informatika dan Komputer Ilmu Komputer untuk Masyarakat International Journal of Artificial Intelligence in Medical Issues
Rasni Alex
Informatics, Mulawarman University
Computer Science & IT Dentistry Economics, Econometrics & Finance Health Professions Medicine & Pharmacology Public Health Other

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Decision Support System on Grass Selection for Gardening Creation Using Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) Astuti, Indah Fitri; Najib, Naufal; Rosmasari; Dedy Cahyadi; Alex, Rasni; Kridalaksana, Awang Harsa
TEPIAN Vol. 4 No. 4 (2023): December 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v4i4.2961

Abstract

Grass is a one-piece plant with thin, tapering leaves that grow from the base of the stem. Grass is one of the most common types of plants on earth, but not all types are the same. Some need regular care, while others can grow without ever being touched. There are various types of grass, but only a few types of grass are suitable as ornamental plants. Currently, garden construction service providers still use a manual system to determine the type of grass, so errors can occur, resulting in damage to the garden and a decrease in the artistic value and selling price of the grass. A technology can help determine the type of grass for making a garden, namely a decision support system. This system was built on a web basis using the Multi-Objective Optimization on the Basis of Ratio Analysis method to recommend types of grass for making gardens. This research uses 17 types of grass as alternative data and five selection criteria, namely leaf shape, growth rate, weather resistance, leaf color, care, leaf texture and price per meter. This method's research shows Japanese grass as the best alternative with the highest optimization value, namely -0.02499. The results of system validation using the Confusion Matrix method to compare system calculations with manual calculations obtained an accuracy value of 71%.
Decision Support System for Wedding Package Using Multi-Objective Optimization of Ratio Analysis Method Astuti, Indah Fitri; Kridalaksana, Awang Harsa; Alex, Rasni; Fitri, Dewi; Cahyadi, Dedy; Khoirunnita, Aulia
TEPIAN Vol. 5 No. 2 (2024): June 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i2.2995

Abstract

Some   of the problems in preparing a wedding day are determining the venue, event concept, concept and others are very time-consuming. Wedding organizers are an option to overcome these problems; one of the wedding organizers in Samarinda is Galeri Shella, which has various wedding packages with facilities and prices, making it difficult for brides-to-be. To make it easier to make the right wedding package decision, a decision support system is made. The decision aims to provide wedding package recommendations with criteria that can be chosen by the bride and groom and their budget. The method used in this system is Multi-Objective Optimization of Ratio Analysis (MOORA) using six criteria catering, venue, decoration, documentation, makeup and price, as a reference calculation that can produce the best wedding package recommendations according to the wishes of the bride and groom. The research results show that the system functions well, is easy to use, and makes it easier for brides to choose wedding packages. From the results of accuracy testing, it is known that the results of manual calculations and the system make no difference, and this study obtained an accuracy value of 100%.
The Bajau-Tainment: An AI-Powered Puzzle Game for Learning the Bajau Language Using Finite State Machine and Shuffle Techniques Khoirunnita, Aulia; Alex, Rasni; Rosmasari , Rosmasari
TEPIAN Vol. 5 No. 3 (2024): September 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i3.3140

Abstract

The research titled "Bajau-tainment" Educational Game (Edu-game) is a research project that focuses on the development of a Puzzle Game designed to improve memory, specifically in language learning. In this game, players must arrange randomized letters to form a word in the Bajau language. This research applies the shuffle random algorithm, which aims to ensure that the arrangement of letters is always shuffled, making the gameplay dynamic, non-monotonous, and engaging. AI Artificial Intelligence (AI) technology will also be applied in this research. Using the Finite State Machine (FSM) model method, the game will feature a game agent character that will accompany children during gameplay, like how a friend accompanies students in a classroom. This virtual friend can display emotions such as happiness or sadness based on the game environment. The research aims to make this edu-game more appealing and interactive for children. The AI game agent will act as a friend who accompanies the child throughout the game.
Co-Authors Awang Harsa Kridalaksana Dedy Cahyadi Dedy Cahyadi, Dedy Dewi Fitri Indah Fitri Astuti, Indah Fitri Jamil, Muh Khoirunnita, Aulia Muh. Jamil Najib, Naufal Nanda, Arya Rosmasari Rosmasari , Rosmasari Rosmasari Rosmasari, Rosmasari