Article Per Year (5 Year)
p-Index From 2019 - 2024
2.517
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal CoreIT BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal of Computing Science and Applied Mathematics Jurnal Teknologi Informasi dan Pendidikan Indonesian Journal of Electrical Engineering and Computer Science NUCLEUS: Jurnal Sains dan Teknologi Jurnal ComunitA Servizio
Prasetyo, Tegar Arifin
Information Technology, Faculty Of Vocational Studies, Institut Teknologi Del
Humanities Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal)

 1 
DEVELOPMENT OF VACCINE TRACKING APPLICATION USING AGILE METHODOLOGY Tegar Arifin Prasetyo
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 9, No 3 (2022)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v9i3.504

Abstract

Covid-19 is an infectious disease that has plagued the world since the end of 2019 until now. In Indonesia, the Covid-19 case is quite large, so the government requires everyone to get the vaccine. However, the implementation of the vaccine has not been implemented properly. By taking advantage of the current times, a web-based application was built that can track the circulation of vaccines and contain information about the authenticity of vaccines. The development of this application uses an Agile methodology that focuses on the Extreme Programming (XP) model.  Extreme Programming (XP) is a method that can simplify several stages of software development. The results of testing conducted by Blackbox testing show that all existing system feature or functionality have run as expected.Keywords: Agile, Covid-19, Extreme Programming, Web-based Appliaction, and Vaccine. Covid-19 merupakan penyakit menular yang menyebar di seluruh dunia sejak akhir tahun 2019 hingga sekarang. Di Indonesia kasus Covid-19 cukup besar, sehingga pemerintah mewajibkan semua orang mendapatkan vaksin. Namun, implementasi vaksin tersebut belum dilaksanakan dengan baik. Dengan memanfaatkan perkembangan zaman, kami membangun sebuah aplikasi berbasis web yang dapat melacak peredaran vaksin dan memuat informasi tentang keaslian data vaksin. Pengembangan aplikasi ini menggunakan metodologi Agile yang berfokus pada model Extreme Programming (XP). Extreme Programming (XP) merupakan sebuah metode yang dapat menyederhanakan beberapa tahap pengembangan perangkat lunak. Hasil pengujian yang dilakukan dengan pengujian Blackbox menunjukkan bahwa semua fitur atau fungsionalitas sistem yang ada telah berjalan sesuai dengan yang diharapkan.Kata kunci: Agile, Covid-19, Extreme Programming, Aplikasi Berbasis Web, dan Vaksin
IMPLEMENTATION OF BRUTE-FORCE ALGORITHM AND BACKTRACKING ALGORITHM FOR FIREFIGHTING ROBOT SIMULATION Tegar Arifin Prasetyo; Rudy Chandra; Wesly Mailander Siagian; Tahan HJ Sihombing; Sarbaini Sarbaini
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 10, No 1 (2023)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v10i1.456

Abstract

In general, a robot is defined as a mechanical device used by humans to ease human work. Robots are usually used for difficult and dangerous tasks. One example of its use is a firefighting robot that replaces human tasks in extinguishing fires. The firefighting robot is on duty to find fire spots in a city then extinguishing them. To be able to put out a fire, the robot must implement an efficient program in finding and determining the shortest path to the location of the fire and then put it out. For this reason, the robot is equipped with proximity and fire sensors to detect the presence of fire. The design is made with a three-step program that is designing needs of robot control, robot control mechanism scheme preparation and implementing an algorithm for making program syntax. The Brute-Force Algorithm can be implemented to indicate the presence of a hotspot signal and the backtracking Algorithm is implemented to find the shortest path to the hotspot location. This paper discusses the use of a brute-force algorithm and a backtracking algorithm in a firefighting robot program to make the fire search process more efficient. The results show that from 8 input fire points, the firefighting robot is able to find all the points within 3.12 seconds with 13 times trial. In its application, the writer used Visual Basic 6.0 in the firefighting robot program.Keywords: Firefighting Robot, Brute-Force Algorithm, and Backtracking Algorithm.Secara umum robot didefinisikan sebagai suatu alat mekanik yang digunakan oleh manusia untuk mempermudah pekerjaan manusia. Robot biasanya digunakan untuk tugas-tugas yang sulit dan berbahaya. Salah satu contoh penggunaannya adalah robot pemadam kebakaran yang menggantikan tugas manusia dalam memadamkan api. Robot pemadam kebakaran bertugas untuk menemukan titik api di suatu kota kemudian memadamkannya. Untuk dapat memadamkan api, robot harus menerapkan program yang efisien dalam mencari dan menentukan jalur terpendek menuju lokasi kebakaran kemudian memadamkannya. Untuk itu, robot dilengkapi dengan proximity dan fire sensor untuk mendeteksi adanya api. Perancangan dibuat dengan tiga langkah program yaitu perancangan kebutuhan pengendalian robot, penyusunan skema mekanisme kendali robot dan implementasi algoritma untuk pembuatan sintaks program. Algoritma Brute-Force dapat diimplementasikan untuk menunjukkan adanya sinyal hotspot dan Algoritma backtracking diimplementasikan untuk mencari jalur terpendek ke lokasi hotspot. Penelitian ini membahas tentang penggunaan algoritma brute force dan algoritma backtracking pada simulasi program robot pemadam kebakaran agar proses pencarian kebakaran menjadi lebih efisien. Hasil penelitian menunjukkan bahwa dari 8 input titik api, robot pemadam kebakaran mampu menemukan semua titik dalam waktu 3,12 detik dengan 13 percobaan. Dalam penerapannya penulis menggunakan Visual Basic 6.0 pada program robot pemadam kebakaran. Kata kunci: Robot Pemadam Kebakaran, Algoritma Brute-Force, dan Backtracking.
SALARY PREDICTION OF IT EMPLOYEES IN JAVA USING LINEAR REGRESSION ALGORITHM Rudy Chandra; Tegar Arifin Prasetyo; Sarbaini Sarbaini
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 10, No 2 (2023)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v10i2.635

Abstract

The payroll system is very influential on a company's workers' welfare in achieving company goals. Appropriate payroll will build morale for the workforce so that they can advance the company through the work ethic and professionalism of the crew. The salary calculation system for employees must be adjusted to several criteria, such as their city and job role. Long experience can also be used as a calculation criterion in providing salary. For this reason, an approach is needed to provide a decent and good salary prediction for the company's consideration. One of the models commonly used in making predictions is linear regression. Linear regression is a model that calculates the relationship between two variables with independent values and bound data. This research develops a system by implementing a Linear Regression algorithm to predict the salaries of IT employees in Java. The model that has been created is then built using the Python language and implemented into a website-based visualization form that is easy to understand with Streamlit. The modeling results were tested and gave an MSE value of 8240258.48. This research is expected to be a reference in research related to this topic in the future and can be used by companies that have difficulties in determining employee salaries
Co-Authors Andree Panjaitan Asido Saragih Christian Benedict Lumbantoruan Dame Sisri Haryati Katarina Rumapea Dewi Handayani Ester Saulina Hutabarat Evan Richardo Sianipar Fritz Marpaung Goklas Henry Agus Panjaitan Heni Ernita Lumbangaol Henny Flora Panjaitan Herbeth Augustinus Napitupulu Johan Immanuel Sianipar Joshua Pratama Silitonga Juan Carlos Munthe Juli Yanti Damanik Lawy Xenna Lilis Marito Pardosi Matthew Alfredo Mei Pane Muhammad Isnaini Hadiyul Umam Muhammad Luthfi Hamzah Muhammad Rizki Nathan Fernando Lumban Tobing Nazaruddin Nazaruddin Nico Felix Sipahutar Pasaribu, Monalisa Poibe Leny Naomi Risky Saputra Siahaan Roberd Saragih Romauli Sianipar Rudy Chandra Rudy Chandra Samuel Sibuea Sarbaini Sarbaini SIAGIAN, WESLY MAILANDER Tahan HJ Sihombing Tahan HJ Sihombing Tessalonika Siahaan Timothy Timothy Tiurma Lumban Gaol Togu Novriansyah Turnip Trito Exaudi Manik Veny Siahaan Victor Lambok Desrony Yohana Sihombing Yohanssen Pratama