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All Journal Techno.Com: Jurnal Teknologi Informasi BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) IJID (International Journal on Informatics for Development) Jurnal Informatika dan Rekayasa Elektronik JISA (Jurnal Informatika dan Sains) International Journal of Engineering, Technology and Natural Sciences (IJETS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Applied Business and Information Systems TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Fidelity : Jurnal Teknik Elektro Jurnal Informatika Teknologi dan Sains (Jinteks) Medika Trada Journal of Scientific Research, Education, and Technology
Rodhiyah Mardhiyyah
Universitas Teknologi Yogyakarta
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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SISTEM KENDALI ONLINE BERBASIS IOT UNTUK MANIFOLD TABUNG OKSIGEN DENGAN PEMANTAUAN REAL-TIME DAN INTEGRASI ALARM Haris Kuspranoto, Abdul; Zulkhairi; Mardhiyyah, Rodhiyah
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 6 No 1 (2025): MEDIKA TRADA (JTEMP) Vol 6 No 1 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i1.118

Abstract

Accurate This research develops an Internet of Things (IoT)-based online control system for oxygen cylinder manifolds in medical facilities. This system utilizes pressure sensors, ESP32 modules, and cloud platforms to monitor oxygen pressure in real-time. For example, the pressure sensor used can accurately measure the oxygen pressure in the cylinder and transfer the data to the ESP32 module for processing. Then, the data is sent via Wi-Fi network to a web dashboard and mobile application. For example, medical personnel can easily monitor oxygen pressure from their smartphones, even when they are not in the same room as the oxygen cylinder. In addition, this system is equipped with an automatic alarm mechanism via the Notification App if an anomaly occurs such as a decrease in pressure or leakage. For example, if the oxygen pressure in the cylinder drops below a safe limit, the Notification App will automatically alert medical personnel to take immediate action. The test results showed a response time of less than 4 seconds and a sensor accuracy rate of ±2%. With fast response time and high accuracy, the system can provide timely and accurate information to medical personnel. The system offers an economical and scalable solution to improve the efficiency and safety of oxygen gas distribution in hospitals. In addition, the implementation of this system can reduce operational costs in manual monitoring of oxygen cylinders, saving time and resources. By adopting IoT technology in oxygen management in medical facilities, hospitals can improve the quality of patient care and ensure sufficient oxygen availability consistently.
Implementasi Payment Gateway Pada Pengembangan Sistem Pemesanan Menu Kafe Berbasis Mobile Tamam, Muhammad Mundzir; Mardhiyyah, Rodhiyah
Techno.Com Vol. 24 No. 2 (2025): Mei 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i2.12642

Abstract

Pemesanan menu pada suatu kedai kopi, umumnya dilakukan dengan pelanggan datang langsung ke lokasi, memilih menu yang diinginkan, dan melakukan pemesanan melalui kasir. Cara tersebut seringkali dijumpai sebagai satu-satunya cara untuk memesan menu kafe. Sistem tersebut juga diterapkan pada Kopi Gambus Krapyak, Yogyakarta dan masih terdapat beberapa kelemahan, seperti waktu yang dibutuhkan apabila antrean melonjak dan kesalahan saat mencatat pesanan pelanggan. Penelitian ini bertujuan untuk mengembangkan sistem pemesanan menu berbasis mobile yang memungkinkan pelanggan untuk memesan dan membayar langsung dari ponsel dan mengurangi antrean dan waktu tunggu. Metode yang digunakan melibatkan perancangan sistem menggunakan Unified Modelling Language (UML) dan pengembangan aplikasi pemesanan berbasis mobile sekaligus sistem pengelolaan kafe berbasis website. Aplikasi pemesanan dibangun dengan menggunakan framework React Native, sedangkan Sistem pengelolaan menggunakan sebuah framework bahasa PHP, yakni CodeIgniter. Sistem yang dibangun ini dilengkapi dengan fitur Payment Gateway dari Midtrans yang memungkinkan pelanggan untuk membayar pesanannya secara cashless langsung di dalam aplikasi sehingga dapat mengurangi antrean. Hasil penelitian menunjukkan bahwa sesudah pengimplementasian aplikasi, pelanggan tidak perlu repot untuk memesan, membayar, dan menunggu di kafe sehingga beberapa antrean pesanan pelanggan dapat dikerjakan secara bersamaan.   Keywords - Aplikasi Mobile, Payment Gateway, Pemesanan Menu, Sistem berbasis website, Unified Modelling Language.
Implementasi Voice Detection dan Geolocation Aplikasi Pelaporan Kejahatan di Jalan Raya Realtime Berbasis Mobile Ma'arif, Restu Sofyan; Mardhiyyah, Rodhiyah
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8527

Abstract

The prevalence of public space crimes, particularly street crimes like mugging and klithih, has become a crucial issue disrupting community safety and comfort. Current emergency reporting systems, which rely on phone calls or direct visits to police stations, are often hampered by time delays, reducing the effectiveness of intervention. To address this, an integrated crime reporting system is proposed through an Android mobile application developed using the Waterfall method. This solution enhances conventional systems by implementing Geolocation and Voice Detection technologies. Geolocation enables precise mapping of incident locations, ensuring location data remains accurate to within 9 meters even with a weak GPS signal Meanwhile, Voice Detection acts as the initial trigger for crime reporting. It proactively analyzes ambient audio for specific shout patterns, which indicate an emergency. The model achieves an accuracy of 0.9590% in noisy environments. Upon detection, the system automatically sends simultaneous emergency notifications to all nearby app users and security authorities within 2 seconds. This application is expected to significantly optimize crime response times, contributing tangibly to enhancing public safety and security.
Aplikasi Pemantauan Akademik dan Non-Akademik Siswa Sekolah Dasar Berbasis Web dan Mobile Hidayat, Rizki; Mardhiyyah, Rodhiyah
TIN: Terapan Informatika Nusantara Vol 6 No 5 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i5.8455

Abstract

Student learning assessment is an essential component of education as it measures competency achievement and supports the continuous development of learning strategies. At SDN 2 Bungko Lor, Cirebon, the management of academic and non-academic data is still carried out manually using printed report cards and Excel spreadsheets. This condition limits parents’ ability to monitor their children's learning progress, as results are only accessible at the end of each semester. This study aims to design and develop a Web- and Android-based Academic and Non-Academic Monitoring Application using the Waterfall method to simplify data management, improve information accessibility, and strengthen communication among schools, teachers, and parents. The system was developed using Vue.js for the web application, Flutter for the Android application, PHP as the back-end, and MySQL as the integrated database. The system design applied UML (Use Case, Activity, and Class Diagrams) to model workflows and data structures. The main features include multi-user login, management of grades and attendance as academic data, recording of student behavior as non-academic data, class schedules, and a two-way chat feature to support coordination between schools and parents. Testing using the Black Box method confirmed that all core functionalities operated properly. The implementation of this system provides a more structured presentation of information and enhances collaboration between schools and parents in monitoring students’ academic and non-academic development.
Pengembangan Aplikasi Mobile Berbasis Location-Based Service dalam Mendukung Efisiensi Distribusi Pertanian Padi Yakti, Ikhwan Kuncoro; Mardhiyyah, Rodhiyah
TIN: Terapan Informatika Nusantara Vol 6 No 5 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i5.8545

Abstract

Rice harvest distribution is a critical aspect of maintaining price stability and national food security. However, the traditional distribution system still faces numerous challenges, such as long supply chains, lengthy delivery times, and limited information regarding prices and rice mill locations. These conditions lead to distribution inefficiencies, price fluctuations detrimental to farmers, and a decrease in their welfare. This research focuses on developing a Location-Based Service (LBS) mobile application integrated with a monitoring website to support the efficiency of rice distribution. The developed system is designed to connect farmers, rice mills, and distributors on a single digital platform, enabling a more monitored and integrated distribution process. The mobile application provides features for harvest recording, searching for nearby rice mill locations, real-time market price information, product sales and ordering, transaction logging, agricultural news, and digital payment integration. The monitoring website is intended for relevant agencies to display production and distribution data, progress graphs, and distribution maps of farmers and rice mills. The system was implemented using Flutter for the mobile application, Vue.js for the website, and Firebase Realtime Database as the integrated database, using data from the Cilamaya Wetan Agricultural Technical Service Unit (UPTD). Black Box Testing results indicate that all main system functions such as authentication, product management, ordering, location services, and payment integration are functionally sound and operate according to user requirements. Nevertheless, this testing was limited to technical functionality and did not include usability evaluation or user acceptance in the field. While the traditional distribution process involves 3-4 intermediaries (e.g., farmers, brokers, collectors, mills, large distributors, retailers, end distributors), the developed system offers a design that can shorten this process to only 1-2 intermediaries via a direct channel from farmer to mill, and then to the distributor. Potential analysis indicates that the system could enhance distribution efficiency by reducing intermediaries, improving price transparency, and facilitating easier monitoring by relevant agencies. The mobile application can display rice mill location information on a digital map, accessible to farmers in real-time. This research, therefore, yields a system developed to digitally support rice distribution efficiency. It can serve as a foundation for future research to test the system's implementation in the field and assess its real-world impact on farmer welfare and distribution effectiveness.
Enhancing Convolutional Neural Network Accuracy for Herbal Leaf Classification Using Squeeze and Excitation Attention Utomo, Ragil Gigih; Mardhiyyah, Rodhiyah
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.938

Abstract

Accurate identification of herbal plant species is crucial for human health, but remains challenging, even for experts. This study addressed this need by developing a Convolutional Neural Network (CNN) model integrated with an attention mechanism for reliable herbal leaf classification. The research implemented the MobileNetV2 architecture, which was enhanced by incorporating the Squeeze-and-Excitation (SE) attention module. The dataset consisted of 1,500 images across 10 classes of herbal leaves, split into 80% for training, 10% for validation, and 10% for testing. Both the native CNN and the enhanced CNN (CNN-AM) models were trained using TensorFlow and evaluated using standard metrics like accuracy, precision, recall, and F1-score. The comparison results decisively demonstrated the effectiveness of the attention mechanism. Integrating Squeeze-and-Excitation significantly improved performance. The average accuracy of the model increased from 68% to 72%, while the average loss decreased from 1.03 to 1.02. The best-performing CNN-AM model achieved a strong 86% accuracy with a 0.53 loss. These findings confirm that the Squeeze-and-Excitation attention mechanism effectively enhances herbal leaf classification performance, offering a promising foundation for developing reliable and efficient identification systems.
Traffic Sign Recognition System Using YOLOv8 Algorithm Fauzi, Yoga Dwi Rizki; Mardhiyyah, Rodhiyah
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.946

Abstract

The advancement of artificial intelligence technologies has driven significant innovation in intelligent transportation systems, particularly in autonomous vehicles that require real-time object detection capabilities. This study develops a web-based traffic sign detection system using the YOLOv8 (You Only Look Once version 8) algorithm. The dataset consists of 5,224 annotated images representing 20 classes of traffic signs, collected through direct image acquisition and managed using Roboflow. The preprocessing stage includes resizing all images to 640×640 pixels and applying data augmentation to enhance model generalization. Model training was conducted on Google Colab using an optimal configuration of 50 epochs, a batch size of 32, and a learning rate of 0.001, resulting in a Precision score of 0.9406, a Recall of 0.9395, and an mAP50 of 0.9748. The trained model was integrated into a Flask-based web application to support image, video, and real-time camera detection. The results indicate that the system is capable of detecting traffic signs with high accuracy and strong computational efficiency.
Pengembangan Aplikasi Damora untuk Monitoring Produksi Hortikultura Berbasis Web dan Mobile Menggunakan Metode Waterfall Asbara, Muhammad Jaohar; Mardhiyyah, Rodhiyah
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.840

Abstract

The agricultural sector plays a strategic role in the national economy, contributing 12.53% to Indonesia’s Gross Domestic Product (GDP) in 2023. Temanggung Regency, as one of the country’s horticultural centers, holds significant potential in commodities such as shallots, chilies, and potatoes. However, the production data recording process in this region is still conducted manually using separate spreadsheets across districts, leading to issues such as input errors, data duplication, loss of important information, and delays in analysis and reporting. This study aims to design and develop the Damora information system for recording and monitoring horticultural production, accessible via both web and mobile platforms for agricultural extension workers and government officers. The system was developed using the Waterfall methodology, employing Unified Modeling Language (UML) for system design, the Flutter framework for implementation, and Firebase as a centralized cloud-based database. The development process included requirements analysis, interface and data structure design, system implementation, and testing. Based on black box testing, all main system features functioned as expected, including production data recording, statistical monitoring, history tracking, and visualization of horticultural productivity graphs. In addition, a limited User Acceptance Test (UAT) was conducted involving agricultural extension workers and government staff, indicating that the system is easy to use, enhances reporting efficiency, and improves field data accuracy. The final result is a mobile application for agricultural extension officers and a web-based application for government officers, capable of providing integrated production data, facilitating information access, and supporting continuous monitoring by the Department of Food Security, Agriculture, and Fisheries of Temanggung Regency in the horticultural sector.
Sistem Informasi Pengelolaan Bantuan Sosial Berbasis Mobile Menggunakan Metode Waterfall Tri Kusuma, Muh Indra; Mardhiyyah, Rodhiyah
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.858

Abstract

The Banyuurip Village Office in Temanggung Regency still faces challenges in managing social assistance data and inventory, which are handled manually through physical record books. This condition causes the data verification process to be slow, prone to errors, and difficult to trace. This study aims to develop a mobile and web based information system for managing social assistance and inventory to improve administrative handling at the village level. The system development adopts the Waterfall method, consisting of requirement analysis, design, development, and testing stages. The system was built using Flutter as the primary framework and Firebase as a centralized NoSQL database to support data synchronization. System testing was conducted using the Black Box Testing method to ensure that the system’s functionalities operate according to the design. The test results indicate that all core features including social assistance data management, QR Code based recipient verification, and supporting features such as inventory management have met all predefined test scenarios. The mobile system is used by field staff responsible for performing on-site data recording, while the web system is operated by administrative staff for data management tasks. Both platforms were able to replace manual processes and enhance the smoothness and accuracy of administrative management within the village office.
Co-Authors Abadi, Anis Susila Abdul Haris Kuspranoto Ahmad Syaifudin Alfatih, Muhammad Fa’iz Ali Habibie, Raihan Ghifari Aryanto, Putri Marceliana Asbara, Muhammad Jaohar Bayu Ari Pratama Devi Ratnasari Evodi, Gabriel Jevon Fauzi, Yoga Dwi Rizki Haaerun, Hazim Althaf Hayati, Nuvita Nur Heni Pujiastuti Hidayat, Rizki Indriaswari, Raden Ayu Janica Rahmaditha Junanda, David Bagus Ma'arif, Restu Sofyan Machfud, Achmad Agim Nur Istiqomah Nuryadi, Satyo Prasetya, R. Imam Budi Pratiwi, Chyntia Elsa Salsabilla, Nazwa Aila Subrata, Febrina Cinta Tamam, Muhammad Mundzir Taruno, Restiadi Bayu Tri Kusuma, Muh Indra Utomo, Ragil Gigih Van Bawono, Maganda Jannati Yakti, Ikhwan Kuncoro Yana Hendriana Zulkhairi Zulkhairi Sofyan