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Soft Computing, artificial intelligence, Data mining, Decision Support System, Geographic Information System, Multimedia, Game Development, Augmented Reality, and other scientific studies in accordance with the scope field of Computer Science research.
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INDONESIA
Jurnal Pengembangan Riset dan Observasi Teknik Informatika
Published by Universitas Serang Raya
ISSN : 24067741     EISSN : 25976559     DOI : https://doi.org/10.30656
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
rotekinfo (Pengembangan Riset dan Observasi Teknik Informatika) is a Computer Science or Informatics journal published by Program Studi Informatika Universitas Serang Raya with registered number ISSN 2406-7741(Print) 2597-6559 (On-Line). This journal aims to publish the results of research in the field of Computer Science is published once a year in a september. The scope of Sciences covers Soft Computing, artificial intelligence, Data mining, Decision Support System, Geographic Information System, Multimedia, Game Development, Augmented Reality and other scientific studies in accordance with scope field of Computer Science research.
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Articles 5 Documents
 1 
Search results for , issue "Vol. 11 No. 2 (2024)" : 5 Documents clear
Analisis Perbandingan Arsitektur Convolutional Neural Network pada Klasifikasi Jenis Penyakit Daun Padi Turnip, Erdina; Rozi, Anief Fauzan
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i2.9052

Abstract

Rice diseases are a serious threat to rice production in Indonesia, with annual losses reaching 200,000-300,000 tons. Early detection and accurate diagnosis for rice leaf diseases are essential for effective control, but manual methods require a lot of time and effort. This study aims to compare the performance of Convolutional Neural Network (CNN) architectures, namely Xception and NASNetMobile, in classifying rice leaf disease types. The methods used include collecting a dataset of 670 rice leaf images, data preprocessing, CNN model design and training, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The results show that the Xception architecture outperforms NASNetMobile with 93% accuracy versus 83%. Xception also showed more stable and consistent performance in classifying different types of rice leaf diseases, especially for Bacterial leaf blight and Brown spots. This study provides new insights into the effectiveness of CNN architecture in plant disease classification, which can be beneficial for the development of more accurate and efficient disease detection systems in the future.
Implementasi Algoritma You Only Look Once (YOLO) untuk Mendeteksi Bahasa Isyarat SIBI Pratama, Bagus Kurniawan; Sri Lestanti; Yusniarsi Primasari
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i2.9105

Abstract

The Indonesian Sign Language System (SIBI) is a translator of sign language into text or speech. This research aims to bridge communication between ordinary people and speech impaired people through the introduction of SIBI sign language using the YOLO algorithm. This research uses 24 alphabets which are divided into 4 groups, where each alphabet has 20 image data which is divided into 70% train data, 25% valid data, and 5% test data. The train data was then added with augmented data from Roboflow which was then carried out using a training process using a batch number of 16 and epochs of 100. The results of the research show that the YOLO algorithm can detect SIBI sign language alphabet gestures using confusion matrix testing and achieve quite good performance, as shown by the results F1 Score: Group 1 was 90.90%, Group 2 was 97.1%, Group 3 was 90.90%, and Group 4 was 83.8%. Other factors such as hand size, lighting conditions, and variations in data position also affect detection accuracy. A limitation in this research is that the alphabets J and Z were not included because these two alphabets not only use shape patterns, but also gesture patterns.
Optimalisasi Manajemen Barang Tenggat Waktu dan Lelang pada Penggadaian Yapusa Kisma, Kisma Guruh Harta Putra
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i2.9108

Abstract

Pegadaian Yapusa Bangil is a financial institution that provides pawn services to the public. Along with the development of technology and the demands of operational efficiency, the goods management and auction process at Pegadaian Yapusa is still carried out manually, which has the potential to cause errors, delays, and a lack of transparency. This research aims to design and develop an item management application that can control the entry and exit of goods and set deadlines for goods to be auctioned automatically. This application is designed to improve operational efficiency and reduce potential errors in managing goods at Pegadaian Yapusa. The main features of this app include accurate item recording and automatic notifications for items that are close to the deadline. The research methods used in development include interviews, observations, and literature studies to collect relevant data and information. The results of this study show that the application of goods management can help increase productivity and efficiency in the management of goods at Pegadaian Yapusa. In addition, this application also contributes to the development of theories and concepts in the fields of technology, business, and management. With this application, it is hoped that Pegadaian Yapusa can compete in the current digital era and provide better services to the community
Penggunaan Kartu RFID Dalam Sistem Presensi dan Saklar Hemat Energi Berbasis Internet of Things di Universitas Muhammadiyah Sukabumi Kurnia, Moh Dzikri
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i2.9122

Abstract

The implementation of Internet of Things (IoT) technology has had a significant impact on various fields, including education and the environment. This study focuses on applying Radio-Frequency Identification (RFID) technology to create an IoT-based attendance and energy-saving switch system at Muhammadiyah University of Sukabumi. The study involves students and lecturers as research subjects and uses a Prototype development method to design and implement solutions iteratively. The developed system employs RFID on Student Identity Cards (KTM) for automatic attendance recording, while an RFID-integrated energy-saving switch efficiently manages electricity consumption in the room. This research includes an analysis of the system's implementation results and Feedback from students and lecturers to assess the success and effectiveness of the developed solution. The findings indicate a significant improvement in attendance management efficiency and substantial energy savings. With this system, Muhammadiyah University of Sukabumi can optimize resource usage and create a more efficient and sustainable environment for the entire academic community.
PEMANFAATAN CLOUD COMPUTING UNTUK PENGELOLAAN ADMINSTRASI SEKOLAH MENGGUNAKAN METODE NEXTCLOUD Dwiyatno, Saleh; Wiji Wahyuningrum, Rita; Krisnaningsih, Erni; ., Rahmat; Dedi Jubaedi, Ahmad
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i2.9319

Abstract

In this modern era, technological developments are growing rapidly, one of which is in the field of education. By taking advantage of this technological development, education uses a storage technology connected to a computer and requires changes in the development and management of administrative systems. However, computers have storage limitations that affect the performance of the computer. Currently, cloud computing technology is one of the solutions to improve the efficiency and effectiveness of administrative management in the educational environment. NextCloud is one of the cloud computing applications that can be used as cloud storage to facilitate data management in an educational environment. Therefore, this research aims to process administrative data easily, flexibly and without limitations that can be accessed offline through the local network of SMKN 7 Kota Serang or online outside the network of SMKN 7 Kota Serang. The data collection technique in this research is observation. The result of this research is the construction of a cloud computing server using the nextcloud application, which has stability performance in the process of downloading and uploading data, flexible access and unlimited, which can be accessed offline through the local network of SMKN 7 Kota Serang or online outside the SMKN 7 Kota Serang network as well as good access speed and security..

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