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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Ilmu Komputer dan Informatika
Arief Kelik Nugroho
Informatika, Fakultas Teknik, Universitas Jenderal Soedirman, Indonesia
Computer Science & IT

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Journal : Jurnal Teknik Informatika (JUTIF)

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SISTEM MASTER PLAN SMART CITY KABUPATEN BANYUMAS Sigit Rizaldi; Arief Kelik Nugroho
Jurnal Teknik Informatika (Jutif) Vol. 1 No. 1 (2020): JUTIF Volume 1, Number 1, June 2020
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2020.1.1.7

Abstract

Dinas Komunikasi dan Informatika (DINKOMINFO) Banyumas adalah sebuah instansi yang bertanggung jawab atas pengolahan informasi dalam lingkungan Pemerintahan Banyumas. Pada tahun 2017, Kementrian Kominfo bekerja sama dengan kementrian lain untuk menginisiasi gerakan menuju 100 smart city atau mendorong terciptanya 100 kota cerdas pada tahun 2019. Kabupaten Banyumas terpilih dari salah satu diantara 25 Kota untuk menjadi plot project smart city. Kabupaten Banyumas melakukan akselerasi pembangunan dengan konsep pemanfaatan teknologi untuk mengembangkan smart city Banyumas. Dengan adanya hal tersebut DINKOMINFO menginginkan sebuat aplikasi yang dapat mendorong pengembangan smart city yang efektif, efisien, dan partisipatif serta sebagai bagian dari perencanaan operasional, yang disebut dengan master plan smart city. Pengembangan sistem yang dilakukan menggunakan metode kanban, dengan alat yang digunakan adalah papan kanban (Kanban Board). Hasil dari penelitian ini adalah memberikan informasi mengenai data – data yang masuk di sistem master plan smart city dan dapat mendorong pengembangan smart city yang efektif, efisien, dan partisipatif serta sebagai bagian perencanaan operasional.
DEVELOPMENT OF BUSINESS INCUBATOR MANAGEMENT INFORMATION SYSTEM AT UNSOED BUSINESS INCUBATOR CENTER lasmedi afuan; Arief Kelik Nugroho; Muhammad Randy Cahya Mardika
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.180

Abstract

The Unsoed Business Incubator Center (PIB) is one of the incubation centers under the General Sudirman University Community Service Institute. PIB Unsoed aims to help develop the businesses of MSMEs and Startups around the Jenderal Sudirman University area. In the incubation process, of course, there is a lot of data recording related to the tenant incubation process, such as administrative data, data development, data assistance, and other data related to the tenant incubation process. The process of recording data on PIB Unsoed is still done manually without any technological aids such as computers or cellphones. In addition, at PIB Unsoed, there are often cases of data loss regarding the business incubation process that has taken place at PIB Unsoed. From the background of the problem above, the author wants to create a Business Incubator Assistance Management Information System for PIB Unsoed. This system is based on a website using the Laravel framework and developed using a prototyping development method. The results of the research that has been done can be concluded that the Management Information System for managing the Business Incubator can be implemented at PIB UNSOED.
EVALUATION OF THE QUALITY OF ACADEMIC INFORMATION SYSTEM UNSOED USING ISO 9126 AND MEAN OPINION SCORE (MOS) Nofiyati Nofiyati; Arief Kelik Nugroho; Bangun Wijayanto
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.366

Abstract

Academic Information System is a very important system in assisting the academic process in Higher Education. Jenderal Sudirman University has long implemented an Academic Information System to serve the academic activities of the academic community. The Academic Information System must be evaluated or tested in order to ensure the quality of the system which will affect the performance of the system. Software quality testing is carried out using the ISO 9126 standard method to identify software quality attributes with reference to five quality measures, namely functionality, reliability, usability, efficiency, and portability, and also tested using the Mean Opinion Score (MOS) method which is a method for measuring the performance and quality of applications built from the user's perspective, as well as testing website performance using GTMetrix. The results of testing the ISO 9126 method show "very good" quality which is reinforced by the results of the Mean Opinion Score (MOS) method testing with an average score of 97.33% and the results of the GTMetrix test getting a score of C (pretty good) with a Performance value of 70% and Structure value of 87%.
IMAGE DETECTION IN THE AIMBOT PROGRAM USING YOLOV4-TINY Arief Kelik Nugroho; Ipung Permadi; Ahmad Habiballah
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.821

Abstract

Cheats are a way for players to gain an unfair advantage. The rise of cheats in online games encourages game producers to increase the security of their games by implementing an anti-cheat system. However, the currently widely circulated anti-cheat system only monitors incoming and outgoing raw data. With the widespread use of image detection systems, we can fool most of today's anti-cheat systems. This can be done by capturing the image that appears on the screen and then processing it through the image detection system. From the process, it can be seen whether there are opponents that appear on the screen. If there is, the program will move the mouse to the place where the enemy is and shoot it. This program is built on the core of the YOLOv4-tiny image detection system.
Co-Authors Ahmad Habiballah Bangun Wijayanto Ipung Permadi Lasmedi Afuan Muhammad Randy Cahya Mardika Nofiyati Nofiyati Nur Chasanah Sigit Rizaldi