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All Journal Jurnal Informatika Global Rainstek : Jurnal Terapan Sains dan Teknologi
Anggri Sartika Wiguna
Universitas PGRI Kanjuruhan Malang
Computer Science & IT Education Mathematics Social Sciences

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Penerapan Metode Algoritma Djikstra Dan Klasifikasi Bayesian Sebagai Kecerdasan Buatan Pada Game Bujang Beji Adventure Jodianus; Amak Yunus Ep; Anggri Sartika Wiguna
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2982

Abstract

Game is a game that is much favored by children and adults who are used to just fill spare time or even to seek entertainment, games have various types, one of which is the Bujang Beji Adventure game, the Bujang Beji game genre Role Playing Game (RPG), the Bujang Beji game has a weakness in the behavior of the NPCs which is monotonous and easy to beat so that it makes the game feel boring, it takes an intelligence that can make NPCs make their own decisions, in this study artificial intelligence was designed using the djikstra algorithm and bayesian classification, the djikstra algorithm is an algorithm pathfinding is used in the process of determining the shortest route, with this algorithm it is hoped that the NPC can determine the shortest route to players from 11 node points, the use of bayesian classification in the Bujang Beji game as a decision-making system with the output of hitting and shooting actions based on 4 parameters, namely : APP, HP, Distance, MANA, on 15 test results of the djikstra algorithm by changing the starting point and destination point, it was found that the NPC can determine the shortest route between the NPC and the player. And the Bayesian classification test obtained an accuracy rate of 86%.
Peramalan Market Intelligent Komoditas di Kalimantan Barat Dengan Metode Moving Average, Single Exponential Smoothing dan Double Exponential Smoothing Modesta Noviani Alvionita; Anggri Sartika Wiguna; Danang Aditya Nugraha
RAINSTEK: Jurnal Terapan Sains dan Teknologi Vol. 6 No. 1 (2024): Maret
Publisher : Fakultas Sains dan Teknologi Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jtst.v6i1.6875

Abstract

Forecasting atau prediksi dapat sangat berguna bagi para investor untuk dapat menggambarkan harga komoditas di masa depan. Prediksi yang dilakukan dapat digunakan sebagai antisipasi bila harga komoditas mengalami kenaikan atau penurunan. Peneliti berusaha untuk melakukan peramalan terhadap komoditas di Kalimantan Barat sebagai informasi yang dapat digunakan dalam berbagai hal. Metode perhitungan yang dilakukan yaitu menggunakan Moving Average, Single Exponential Smoothing, Double Exponential Smoothing serta menghitung besaran MAPE. Hasil dari perhitungan yang dilakukan didapatkan metode double exponential smoothing merupakan metode terbaik karena semakin rendah nilai akurasi maka akan semakin baik sebab mendekati nilai aktualnya.
Co-Authors Amak Yunus Danang Aditya Nugraha Jodianus Modesta Noviani Alvionita