Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Indonesian Journal of Artificial Intelligence and Data Mining Voice Of Informatics Informasi Interaktif Jurnal Riset Sistem dan Teknologi Informasi
Ade Pujianto
Universitas AMIKOM Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
PERANCANGAN GAME TRADISIONAL MACANAN BERBASIS ANDROID Ade Pujianto; Saeful Anwar
Informasi Interaktif Vol 5, No 3 (2020): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Macanan is a strategy game originating from Central Java, the game of macanan is played by two people who act as tigers or humans, where the tiger player must set a strategy to eat or eliminate all human pieces while the human player must set a strategy to lock the tiger. In some conditions the player does not have a partner to play the game macanan, therefore we need a computer (AI) which can be used as an alternative gameplay game when there are only opponents to play partners. This research will apply the Minimax algorithm as a game against the computer (AI), this research also adds optimization with alpha beta pruning to increase the level of game or intelligence from the computer (AI) in traditional Javanese macanan games..   Keywords  :  Game, Minimax, Macanan, AI
Perancangan Basis Data Pada Website E-Kartu Nikah Ria Andriani; Ade Pujianto; Selvy Megira
Jurnal VOI (Voice Of Informatics) Vol 6, No 2 (2017)
Publisher : STMIK Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Data berperan penting bagi suatu instansi atau organisasi dalam pengambilan keputusan sebagai penunjang sebuah kebijakan, pada pengelolaan data pernikahan sering terjadi permasalahan dalam pencarian data sehingga data yang ditampilkan tidak relevan dengan apa yang diinginkan. E-kartu nikah merupakan buku nikah elektronik yang dilengkapi dengan microchip yang berfungsi sebagai media penyimpanan informasi. Informasi yang ada di dalamnya merupakan informasi yang ada pada buku nikah sehingga dengan data yang akurat dapat membantu instansi mengambil keputusan yang tepat. Pada penelitian ini akan dibahas mengenai pemodelan data yang meliputi aturan data analisis, teknik pengumpulan data dan perancangan basis data. Proses perancangan basis data dilakukan dalam beberapa tahapan yaitu analisis laporan yang diinginkan oleh KUA setempat, perancangan tabel dan tipe data serta penentuan relasi antar tabel. Hasil yang dicapai adalah sebuah rancangan basis data yang nantinya akan digunakan untuk membangun sistem E- kartu nikah yang dapat memenuhi kebutuhan analisis data untuk memantau data peristiwa nikah.Kata Kunci : E-kartu nikah, KUA, analisis data, basis data. 
Implementation of Genetic Algorithms in The Application of Car Racing Games Ade Pujianto
Indonesian Journal of Artificial Intelligence and Data Mining Vol 4, No 1 (2021): March 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v4i1.10835

Abstract

The car racing game is a game that has always been popular from the past until now. where this game has lots of interesting gameplay, especially when adding artificial intelligence (AI) which makes the gameplay of the game even more challenging because the game is more dynamic with various levels of difficulty. However, most research on the application of artificial intelligence (AI) to the gameplay of car racing games is only limited to the application of game opponents. using genetic algorithms for innovations in game gameplay. Optimization of the game configuration will also be carried out to determine the level or difficulty level of the game's gameplay. The research flow to be implemented is the indie development method where the development method is used by indie game makers. The output of this research is to make scientific publications in accredited national journals and patent rights for car racing game game products. The contribution to this research is to make gameplay that is different from previous research, namely in making gameplay or applying artificial intelligence (AI) to making arena or racing circuits and optimizing genetic algorithms by adding configuration settings to the genetic algorithm
Optimisasi Algoritma Genetika dengan Particle Swarm Optimization (PSO) untuk Sistem Rekomendasi Diet Gizi bagi Penderita Diabetes Muhammad Misbahul Munir; Ade Pujianto; Haechal Aulia Muhali Lamuru
Jurnal Riset Sistem dan Teknologi Informasi Vol. 1 No. 2 (2023): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA) Vol. 1 No. 2
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v1i2.1289

Abstract

Diabetes, especially diabetic nephropathy, is a global health problem that is increasing in prevalence. This disease can cause various serious complications and even death. Despite the high cure rate associated with diabetes, it is important to improve the human body's immune system to reduce the risk of developing diabetes or diabetic nephropathy. One approach that can help is maintaining a diet with good nutritional coverage. This research aims to develop an artificial intelligence (AI) system that can provide recommendations for a good nutritional diet menu for diabetes sufferers. We propose the use of well-known genetic algorithms in decision making. However, to improve the accuracy and efficiency of the genetic algorithm, we will optimize it using the Particle Swarm Optimization (PSO) algorithm. The research method used is an experimental method, where we will conduct experiments to test the performance of the optimized genetic algorithm. It is hoped that the results of this research can be used as a basis for making scientific publications in accredited national journals as well as product patents for food menu recommendation systems for diabetes sufferers. The main contribution of this research is improving the performance of the genetic algorithm through the use of the PSO algorithm, which will help increase the accuracy of the nutritional diet recommendation system. In this way, it is hoped that the results of this research can provide significant benefits in efforts to prevent and manage diabetes and improve the quality of life of diabetes sufferers.
Co-Authors Haechal Aulia Muhali Lamuru Muhammad Misbahul Munir Ria Andriani Saeful Anwar Selvy Megira