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All Journal Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Multitek Indonesia : Jurnal Ilmiah Jurnal Informatika dan Sistem Informasi
C. Pickerling
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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PREPROCESSING DATA DAN REPRESENTASI ORGANISME ALGORITMA SYMBIOTIC ORGANISMS SEARCH PADA PERMASALAHAN PENJADWALAN PRAKTIKUM PERGURUAN TINGGI Armanto, Hendrawan; Pickerling, C.; Setyaningsih, Eka Rahayu
MULTITEK INDONESIA Vol 11, No 1 (2017): Juni
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.829 KB) | DOI: 10.24269/mtkind.v11i1.494

Abstract

Pada era saat ini, penjadwalan tidak saja diperlukan untuk dunia usaha akan tetapi juga diperlukan pada dunia pendidikan. Banyak sekolah atau perguruan tinggi di Indonesia yang mengalami kesulitan dalam melakukan penjadwalan manual dan membutuhkan solusi dalam melakukan penjadwalan yang cepat dan optimal. Hal tersebut yang menjadi dasar penelitian dengan fokus penjadwalan laboratorium perguruan tinggi. Penjadwalan yang diteliti disini adalah penjadwalan dengan menggunakan algoritma Symbiotic Organisms Search, tetapi untuk penelitian awal ini akan lebih difokuskan kepada preprocessing data serta representasi organisme terhadap kasus penjadwalan praktikum. Hal tersebut dilakukan dikarenakan tanpa adanya data serta representasi yang tepat maka hasil yang diperoleh juga tidak optimal. Setelah melalui beberapa ujicoba diketahui bahwa dengan preprocessing data serta pemilihan representasi yang tidak tepat akan menurunkan hasil dari algoritma symbiotic organisms search hingga 17% bahkan dapat memberikan hasil yang salah dalam melakukan penjadwalan praktikum perguruan tinggi.
Kecerdasan Buatan Berbasis Monte-Carlo Tree Search untuk Permainan Shogi pada Android Pickerling, Pickerling; Armanto, Hendrawan; Daniel, Daniel
Jurnal Informatika dan Sistem Informasi Vol 7 No 1 (2021): Jurnal Informatika dan Sistem Informasi
Publisher : Universitas Ciputra

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

Abstract

Permainan Shogi adalah permainan yang mulai digemari oleh masyarakat akhir-akhir ini. Untuk memainkannya, tentu diperlukan papan permainan khusus beserta bidak-bidaknya. Namun kepopuleran Shogi yang masih belum terlalu tinggi di luar negara Jepang, menyebabkan sulitnya untuk mencari papan permainan Shogi. Dikarenakan masalah tersebut, maka muncul lah permainan Shogi digital, dimana untuk bermain Shogi tidak diperlukan lagi papan permainan secara fisik, melainkan dapat dengan mudah dimainkan pada perangkat Android. Penelitian ini bertujuan untuk membuat kecerdasan buatan yang dapat memainkan permainan Shogi pada Android. Adapun kecerdasan buatan yang digunakan adalah kecerdasan buatan berbasis Monte-Carlo Tree Search. Manfaat dari aplikasi ini adalah agar seseorang dapat bermain shogi tanpa harus menggunakan papan permainan fisik dan sekaligus untuk menyediakan lawan bermain. Setelah melalui berbagai proses uji coba, dapat disimpulkan bahwa MCTS hanya mampu bersaing dengan kecerdasan buatan level easy hingga medium, namun keunggulan tersebut akan menurun drastis jika ditandingkan dengan kecerdasan buatan level hard. Akan tetapi apabila dibandingkan dengan algoritma game playing seperti Negamax AB Pruning maka MCTS dapat memenangkan rata-rata 80% pertandingan.
Implementation and Impact of Virtual Reality on Survival Horror Games Armanto, Hendrawan; Anthony, Gregorian; Pickerling, Pickerling
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 6 No 2 (2021)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/inform.v6i2.3943

Abstract

Currently, games are an important part of human life. Not only serves as entertainment, games nowadays also serve as education, communication, socialization, and even a job for some people. This makes technology in the game world more developed and closer to reality. One of the popular and interesting technologies is virtual reality. This technology has various elements, but the most important element is the immersion element, which can give users the sensation to feel as if they are in a real environment. In this research, the authors examine the effects of virtual reality when combined with horror games. The selection of horror games was made because this genre is one of the genres with the fastest immersion element compared to other game genres. In addition to the use of virtual reality technology, considering that horror games require complex particle simulations and good lighting, the authors use the Unreal Engine as the main engine in this game. The test method used in this study is the beta testing method with the assessment using the user acceptance method. The conclusion was that virtual reality technology combined with the advantages of the unreal engine caused game players to get a tenser atmosphere.
Implementation and Impact of Virtual Reality on Survival Horror Games Armanto, Hendrawan; Anthony, Gregorian; Pickerling, Pickerling
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 6 No. 2 (2021)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/inform.v6i2.3943

Abstract

Currently, games are an important part of human life. Not only serves as entertainment, games nowadays also serve as education, communication, socialization, and even a job for some people. This makes technology in the game world more developed and closer to reality. One of the popular and interesting technologies is virtual reality. This technology has various elements, but the most important element is the immersion element, which can give users the sensation to feel as if they are in a real environment. In this research, the authors examine the effects of virtual reality when combined with horror games. The selection of horror games was made because this genre is one of the genres with the fastest immersion element compared to other game genres. In addition to the use of virtual reality technology, considering that horror games require complex particle simulations and good lighting, the authors use the Unreal Engine as the main engine in this game. The test method used in this study is the beta testing method with the assessment using the user acceptance method. The conclusion was that virtual reality technology combined with the advantages of the unreal engine caused game players to get a tenser atmosphere.
MVPA and GA Comparison for State Space Optimization at Classic Tetris Game Agent Problem Armanto, Hendrawan; Dwi Putra, Ronal; Pickerling, Pickerling
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 7 No. 1 (2022)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/inform.v7i1.4381

Abstract

Tetris is one of those games that looks simple and easy to play. Although it seems simple, this game requires strategy and continuous practice to get the best score. This is also what makes Tetris often used as research material, especially research in artificial intelligence. These various studies have been carried out. Starting from applying state-space to reinforcement learning, one of the biggest obstacles of these studies is time. It takes a long to train artificial intelligence to play like a Tetris game expert. Seeing this, in this study, apply the Genetic Algorithms (GA) and the most valuable player (MVPA) algorithm to optimize state-space training so that artificial intelligence (agents) can play like an expert. The optimization means in this research is to find the best weight in the state space with the minimum possible training time to play Tetris with the highest possible value. The experiment results show that GAs and MVPA are very effective in optimizing the state space in the Tetris game. The MVPA algorithm is also faster in finding solutions. The resulting state space weight can also get a higher value than the GA (MVPA value is 249 million, while the GA value is 68 million).
Co-Authors Anthony, Gregorian Daniel Daniel Dwi Putra, Ronal Hendrawan Armanto Setyaningsih, Eka Rahayu