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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Petir Computer Science (CO-SCIENCE) Algoritme Jurnal Mahasiswa Teknik Informatika Informatics and Enginering Dedication Klik - Jurnal Ilmu Komputer Arcitech: Journal of Computer Science and Artificial Intelligence Prioritas : Jurnal Pengabdian Kepada Masyarakat MDP Student Conference Jurnal Sistem Informasi Komputer dan Teknologi Informasi Jurnal Teknik Indonesia (JU-TI) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)

Daniel Udjulawa

Universitas Multi Data Palembang

Author-ID : 4240614

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Penerapan Algoritma Negamax dan Alpha Beta Pruning pada Permainan Othello William William; Regiza Giovanno; Daniel Udjulawa
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 2 No 2 (2016): JATISI MARET 2016
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

The game becoming a means of entertainment for leisure time for many people. One of them is the game Othello is a classic board game. The purpose of this study was to apply the algorithm Negamax and Alpha Beta Pruning Algorithms in Othello game as opposed to a player, as well as the extent of the time required by the opponent using that algorithm. With both of these algorithms cleverness in taking strategy by the computer in the game can be calculated with the grace period currently provides solutions against the player. This game was made using Phonegap framework. Artificial intelligence will be visible when the algorithm used for the process. Identification workflow of Algorithms Negamax and Alpha Beta Pruning provides overview of the time required by the computer to interact with the players. System development using prototyping methods. Results of testing the application of the algorithm Negamax and Algorithms Alpha Beta Pruning in the game "Othello" is proven to help speed up the algorithm Negamax.

Pengaruh Layanan Google Terhadap Motivasi Belajar Untuk Mendukung Prestasi Belajar Siswa Muhammad Haviz Irfani; Daniel Udjulawa
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 4 No 1 (2017): JATISI SEPTEMBER 2017
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Information technology in education sector affected on learning process held by senior high school in Palembang city. Some 77,43% computer users (including students) who visit the google pages with the number of of 4,464,000,000 visitors everyday. Particularly students are very depend on search engine to to search of information or matter to complete a task school that relies heavily with the internet, thereby should be tested what factors affecting and could provide motivation to study and improve student learning achievements. The results of literature give you some of factors affect the motivation to study and student learning achievements that is a source of learning, intensity using, the quality of information. The methodology used namely AMOS (Analysis of Moment Structure), and path analysis, calculation the probability between endogenous, or endogenous and exogenous by the application of SEM (Structural Equation Model). The results of the study gained may be used as input for school management to make maximum use of google search engine in increased the motivation to study and student learning achievements

Rancang Bangun Network Monitoring dan Bandwidth Monitoring dengan Menggunakan Aplikasi Cacti Pada PT. XYZ Anggoro Aryo P.; Daniel Udjulawa
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 6 No 1 (2019): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Saat ini internet telah digunakan dalam berbagai aspek kehidupan manusia sehari-hari. Pemakaian internet tidak lepas dari perkembangan teknologi jaringan komputer sebagai penunjangnya. Sebagai penyedia jasa layanan internet PT. XYZ berusaha untuk memberikan layanan yang terbaik bagi pelanggannya dengan memanfaatkan teknologi jaringan komputer. Selain menggunakan perangkat jaringan dengan teknologi yang terbaru, PT. XYZ juga berusaha untuk meningkatkan kepercayaan kepada pelanggannya dengan memberikan layanan internet yang sesuai dengan kebutuhan yang diinginkan. Untuk meningkatkan layanannya, PT. XYZ memerlukan suatu Network Monitoring atau pemantauan jaringan serta memantau bandwidth agar dapat memantau perangkat jaringan serta mengevaluasi kinerja PT. XYZ dan umpan baliknya dari pelanggan. Protokol pada jaringan TCP/IP menggunakan SNMP. Rancang bangun network monitoring dan bandwith monitoring pada PT XYZ menggunakan aplikasi Cacti. Perancangan server Cacti dibangun dengan webserver Apache, dengan bahasa pemrograman PHP dan menggunakan basis data MySQL. Apache disini berfungsi sebagai webserver yang berguna untuk menjalankan PHP dan MySQL. PHP berfungsi untuk menjalankan skrip pembuatan grafik yang akan ditampilkan. Sedangkan MySQL digunakan sebagai penyimpan seluruh data yang dihasilkan oleh aplikasi cacti. Selain itu juga ditanamkan paket RRDTool yang akan digunakan untuk menampilkan data yang didapat melalui port SNMP yang disimpan dalam database MySQL dan dijalankan oleh bahasa pemrograman PHP, lalu ditampilkan dalam bentuk grafik. Diharapkan dengan adanya Network Monitoring dan Bandwidth Monitoring ini dapat mengetahui kualitas jaringan dan seberapa besar penggunaan bandwidth di PT. XYZ.

Klasifikasi Penyakit Mata pada Citra Fundus Menggunakan VGG-16 Sutanto, Steven Yesua; Udjulawa, Daniel
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 11 No 4 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i4.9165

The eye is a vital sensory organ crucial for vision and various aspects of daily life. Eye diseases such as diabetic retinopathy, glaucoma, cataracts, macular degeneration, hypertension, pathological myopia, and other diseases are global health issues that significantly impact quality of life. The 2022 RAAB survey by Perdami revealed that 8 million people in Indonesia suffer from visual impairments, with 1.6 million of them being blind. Diagnosing eye diseases often requires considerable time and depends on the accuracy and subjectivity of doctors analyzing fundus images. Convolutional Neural Network (CNN) methods can process images and recognize complex patterns and features, assisting in the classification of eye diseases with high accuracy and efficiency. This research aims to classify various eye diseases automatically using the CNN method, speeding up the diagnosis process, enabling faster treatment, and improving effectiveness in the medical field. The implementation of the CNN method with the VGG-16 architecture was successful, capable of classifying 8 types of eye diseases, with the best result obtained in the 10th trial, achieving an accuracy of 54.17%

Co-Authors Abdul Rahman Andre Zulnardi Anggoro Aryo P. Dafid Dafid Dafid Dafid Dandy, Dandy Darmawan, Dean Famerdi, Farhan Agung Fatchurrachman, Ahmad Febbiola Febbiola Febbiola, Febbiola Ja'far, Ja'far Kadafi, Aldo Kasanova, Sinyo Kurniawan, Marthin Hokita M Fajri Septian Dwi Cahyo Martin, Nicolas Marzali, Azizurrahman Muhammad Haviz Irfani Mulyati Mulyati Novan Wijaya Nyimas Artina Oktarina, Serly Pramudiya, Relin Ramadhan, Ahmad Wildan Rizky Regiza Giovanno Setiawan, Jerry Simanjuntak, Andreas Jeremy Obet Sutanto, Steven Yesua Timoteus Ivan Sariyo William William Wiwik Handayani Yoannita, Yoannita Yohannes Yohannes

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