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All Journal Jurnal Ilmiah Informatika Komputer Nuansa Informatika JEJARING Cloud Information Buffer Informatika bit-Tech Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Computer Science and Information Technology (CoSciTech) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat Journal of Innovation and Sustainable Empowerment Jurnal Pengabdian Masyarakat Bangsa ORAHUA : Jurnal Pengabdian Kepada Masyarakat Scientific Exploration: Journal Of Indonesian Academic Research
Panji Novantara
Universitas Kuningan
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Journal : Cloud Information

 1 
SISTEM PENUNJANG KEPUTUSAN PESERTA KURSUS UPTD BLK KAB. KUNINGAN DENGAN METODE PROFILE MATCHING BERBASIS WEB Panji Novantara
Cloud Information Vol 3, No 2 (2018)
Publisher : Sistem Informasi Fakultas Ilmu Komputer Universitas Kuningan

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Abstract

In accordance with the regulations set by the government in the process of graduation of course, needs criteria for determining the graduation of participants, especially in vocational information and communication technologies in the sub department office tools. In the process of determining graduation at UPTD BLK Kuningan, it needs a decision support system. One method that can be used for decision support system is using the Profile Matching. This method is chosen because it is able to select the best candidates from a number of course participants in Kuningan District, determining graduation course participants of UPTD BLK for assessment in determining the graduation, in this case the participants meant that the weight value for each attribute, such as aspects of intelligence and aspects of the work attitude, then it is conducted ranking process that will determine the optimal alternative, in this case is the best course participants.Keywords : SPK, Graduation Course Participants, Profile Matching Method
RANCANG BANGUN APLIKASI CATUR MENGGUNAKAN ALGORITMA MINIMAX DENGAN OPTIMASI ALPHA-BETA PRUNING Panji Novantara
Cloud Information Vol 3, No 1 (2017)
Publisher : Sistem Informasi Fakultas Ilmu Komputer Universitas Kuningan

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ABSTRACT Chess is a strategy game which is played in turns. This game has been around since ancient times. In the game of chess, it requires strategy or a good way to win a game. It is one of sports that many people played. Almost everyone knows the game of chess, although some of them do not know the steps of the chess pieces. To determine a good movement in chess, we need an algorithm, one of them is the Alpha-Beta Pruning algorithm. Alpha-Beta Pruning is the development of MiniMax algorithm which is one of the searching algorithm to determine the maximum and minimum values by cutting unnecessary nodes. In this study, the writer makes an application chess game that anyone can play chess on an electronic device, especially PC, while the algorithm used is Alpha-Beta Pruning (specify the steps taken by the computer) with a software development method that is chosen is the Rational Unified Process (RUP ). In the process of implementing, these algorithms needs a method called evaluation board, in which each chess piece has a respective value of 0 is king, queen 900, 300 elephants, 300 horses, castle 500 and pawns 100. The results of this paper is the use of an algorithm Alpha-Beta Pruning in this chess game that the computer can respond to the steps taken by the users quickly.  Keywords : Chess, Minimax, Alpha-Beta Pruning, Node, RUP
Co-Authors Abdurohman, Ali Alman Muhammad Anggun Apriani Aria Mariany Arisma, Neno Asih Awalia Cecep Juliansyah Abbas, M.Kom. Dadan Nugraha Damasus Sandi Setiadi Danu Pradana Deni Supriadi Elpan Januar Fauziah Fitri Susanti Jajang Mutiara Marrilyn Marrilyn Arismawati Nunu Nugraha Pratama, Agum Rio Priantama Risteruw Leonardo Firman Risteruw Leonardo Firmansyah Roni Nursyamsu Tata Sutabri Tito Sugiharto Trisudarmo, Ragel Usep Sapari Septiana