Jurnal INSYPRO (Information System and Processing) https://journal.uin-alauddin.ac.id/index.php/insypro <p>Jurnal INSYPRO (<em>Information System and Processing</em>) is published by the Department of Information System, Faculty of Science and Technology, State Islamic University Alauddin of Makassar.</p> <p>Every manuscript submitted to Jurnal INSYPRO (Information system and Processing) is independently reviewed by at least two reviewers in the form of "peer-review". It is due to increase the quality of articles. Decision for publication, amendment, or rejection is mostly based upon their reports/recommendation. In certain cases, the editor may submit an article for review to another, third reviewer before making a decision, if necessary. The Editorial Team, however, reserves the right to make the final decision on the status of the manuscript with regard to publication</p> en-US <p>Each article is copyrighted © by its author(s) and is published under license from the author(s).</p><p>When a paper is accepted for publication, authors will be requested to agree with the <a href="https://creativecommons.org/licenses/by-nc-nd/4.0">Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 Netherlands License</a>.</p><p><img src="/public/site/images/reza/cc_by-nc-sa.png" alt="" /></p> reza@uin-alauddin.ac.id (Reza Maulana) reza@uin-alauddin.ac.id (Reza Maulana) Sat, 25 May 2024 00:00:00 +0000 OJS http://blogs.law.harvard.edu/tech/rss 60 INVENTORY INFORMATION SYSTEM WITH INTERNET OF THINGS IMPLEMENTATION https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/46644 <p><em>Traditional inventory information systems often face difficulties monitoring, real-time data maintenance, and data accuracy. This research aims to implement IoT into the inventory information system process and determine the benefits. In this research, a method called prototyping is used to create a web-based inventory information system that is integrated with IoT. The amount of product stock is measured using an ultrasonic sensor installed on the ESP8266. Sensor data is analyzed and sent to a web-based information system. allows real-time stock monitoring. The results of this IoT implementation achieve several benefits, including increased operational efficiency which can be seen from the DFD changes. The system test results show that the system can detect goods in storage with 100% accuracy</em></p> Muhammad Takdir Muslihi Copyright (c) 2024 Muhammad Takdir Muslihi https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/46644 Thu, 02 May 2024 00:00:00 +0000 PLANNING PERANCANGAN SISTEM INFORMASI MONITORING LAPORAN KEGIATAN HARIAN BERBASIS PWA PADA KANTOR BUPATI KABUPATEN BANTAENG https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/49379 <p>Utilization of information technology by government institutions also using a monitoring system known as E-Government is an important part of government sustainability. The obstacle faced by each section head is during the process of making monthly reports, where when making monthly reports activities are often not recorded in the agenda book. To overcome this problem, we need a system that can record the daily activities of each section head systematically and accurately. The system that can solve the above problems is a website system, Progressive Web Apps (PWA) is a concept for implementing website creation that applies technology by building applications using the PWA concept which will make web applications run on various platforms such as websites, desktops, and mobile or Android platforms. Based on the percentage value of the question indicators, the System Usability Scale test results were 80.1 and received a "Good" score in the Adjective rating section and received a grade of "B". The method used by the author for this system design research, the Agile Method is a methodology in software development that is based on an iterative work process consisting of agreed rules and solutions.</p> Nur Ismi, Erfina, Firmansyah Ibrahim Copyright (c) 2024 Nur Ismi https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/49379 Thu, 09 May 2024 00:00:00 +0000 STUDI PERBANDINGAN AVALANCHE EFFECT PADA ALGORITMA KRIPTOGRAFI TRANSPOSISI UNTUK MENINGKATKAN KEAMANAN DATA https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/46509 <p><em>Various cryptographic techniques have been used as a solution to maintain data security, one of which is the transposition technique which is included in the classic type of cryptography. This research aims to conduct a comparative study of two classic transposition techniques, namely Route Transposition and Rail Fence Transposition. Apart from that, this research aims to find out whether various classical transposition techniques are still relevant in the process of securing data in the current cyber era. In this research, comparative analysis was carried out based on the Avalanche Effect (AE) value. The research results show that the route transposition technique has the highest value compared to the rail fence transposition technique. However, based on the minimum standard AE value, it shows that the two techniques are still in a position below the minimum AE value, namely below 50%.</em></p> Muhammad Fadlan, Muhammad, Suprianto Copyright (c) 2024 Muhammad Fadlan, Muhammad, Suprianto https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/46509 Sat, 11 May 2024 00:00:00 +0000 IMPLEMENTASI ALGORITMA CONVOLUTIONAL NEURAL NETWORK UNTUK MENGHITUNG KEPADATAN AYAM MENGGUNAKAN YOU ONLY LOOK ONCE https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/47363 <p><em>This research aims to apply the Convolutional Neural Network (CNN) algorithm to count the number of chickens in an image using the You Only Look Once (YOLO) method. YOLO is a reliable and real-time object detection algorithm.</em></p> <p><em>This research uses a dataset of chicken images collected from farms. The images are then preprocessed to improve their quality before being used as input for the CNN model. The CNN model is trained using the backpropagation algorithm to minimize the loss function.</em></p> <p><em>The research results showed that the use of YOLO was successful in producing an application for calculating chicken density. Blackbox testing shows that the application created functions well and meets user needs and the results of the matrix evaluation test show an average accuracy of 84%.</em></p> Gunawan, Andi Tenriawaru, Fitri Qamaria Copyright (c) 2024 Gunawan, Andi Tenriawaru, Fitri Qamaria https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal.uin-alauddin.ac.id/index.php/insypro/article/view/47363 Thu, 11 Jul 2024 00:00:00 +0000