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All Journal Sistemasi: Jurnal Sistem Informasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Infomedia Jurnal Riset Informatika Jurnal ICT : Information Communication & Technology Respati Jurnal Abdi Insani Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Batara Wisnu : Indonesian Journal of Community Services International Journal of Advanced Science Computing and Engineering SmartComp The Indonesian Journal of Computer Science Jurnal Pengabdian Masyarakat (JURDIMAS) SWAGATI: Journal of Community Service Journal of Soft Computing Exploration
Mulia Sulistiyono
Universitas Amikom Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Layered Authentication Optimization in IoT-Based Package Receiving System using Voice-Trigger and PIN Verification Mulia Sulistiyono; Muhtar Efendi; Uyock Anggoro Saputro; Bernadhed Bernadhed
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12228

Abstract

The rapid growth of courier and e-commerce services has increased the risk of package delivery problems, including unattended deliveries, package theft, and fraudulent claims by unauthorized recipients. To address these issues, this paper proposes the design and implementation of an Internet of Things (IoT)–based package receiving system that integrates voice recognition, PIN-based authentication, and remote monitoring capabilities. The proposed system employs a voice recognition module as an initial access trigger, followed by a keypad-based PIN verification derived from the package tracking number to enhance access security. A servo-controlled locking mechanism is used to physically open and close the package container, while real-time notifications and remote control are provided through a Telegram bot. The system supports two access modes: local access using voice commands and PIN input, and remote access via Telegram-based commands. System development follows a prototyping approach, and performance evaluation is conducted through functional testing, connectivity testing, and voice recognition accuracy measurements. Experimental results show that the voice recognition module achieves an average recognition accuracy of 74%, with recognition performance decreasing as the distance between the sound source and the microphone increases. Connectivity testing indicates that network latency remains within an acceptable range for distances up to 20 meters. Functional testing confirms that the locking mechanism, authentication process, and notification system operate reliably under defined test scenarios. The results demonstrate that the proposed system can serve as a practical IoT-based solution for improving package reception security and monitoring. However, the system is intended as a supportive security mechanism and does not replace advanced authentication or surveillance systems.
A comparative benchmark of vision transformer architectures for chili leaf disease classification Acihmah Sidauruk; Danang Wijayanto; I Made Artha Agastya; Jumanto Unjung; Mulia Sulistiyono
Journal of Soft Computing Exploration Vol. 7 No. 3 (2026): September 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i3.62

Abstract

Chili plant disease detection represents a critical component for enhancing agricultural productivity. Although Convolutional Neural Networks (CNN) have demonstrated promising results, they encounter limitations in capturing global contextual relationships within images. However, existing Vision Transformer studies on plant disease commonly assess only a single architecture, leaving the relative performance of different Vision Transformer families on chili disease data largely unexamined. This research aims to conduct a comparative benchmark analysis of five Vision Transformer-based architectures ViT, Swin Transformer, MaxViT, DINOv2, and EVA-02 to identify the most optimal model for chili plant disease classification. The methodology begins with data preprocessing and augmentation on a chili leaf dataset comprising five classes: healthy, leaf curl, leaf spot, whitefly, and yellowish. Each model is then fine-tuned under consistent training configurations with early stopping to prevent overfitting, and evaluated using accuracy, precision, recall, F1-score, and AUC. The results indicate that DINOv2 achieves superior performance with 96% accuracy, 96% precision, 96% recall, 96% F1-score, and 99% AUC, along with the highest training efficiency through convergence at epoch 12, outperforming ViT (92%), Swin (88%), MaxViT (88%), EVA-02 (86%), and previous CNN-based approaches. These findings confirm the superior potential of Vision Transformers, particularly self-supervised models, as a promising alternative for agricultural disease detection applications. The main contribution of this study is the first unified, head-to-head benchmark of five distinct Vision Transformer families for chili leaf disease classification, providing practical guidance on model selection in terms of both accuracy and training efficiency.
Co-Authors Abdullah Sukri, M Iqbal Acihmah Sidauruk Acihmah Sidauruk Afifah Nur Latifah Anggit Dwi Hartanto Anik Sri Widowati Ariadi, Muhammad Vicri Aziz Muzani, Ma'ruf Bayu Setiaji Bernadhed Bernadhed Bernadhed Bernadhed, Bernadhed Bimantara, Aria Wangsa Budy Satria Danang Wijayanto Danang Wijayanto DHANI ARIATMANTO Dini Erlinawati Elik Hari Muktafin Eny Nurnilawati Fadil Indra Sanjaya Fansyah, Rizki Hanif Fatah Yasin Febri Liantoni Febri Liantoni, Febri Gagah Gumelar Habib Dwi Prajoto Hari Muktafin, Elik Hasyim, Jaka Wardana I Made Artha Agastya Jumanto Unjung Kusrini Majid Rahardi Mohamad Arie Ajharie Muhammad Taufik Hidayat Muhtar Efendi Muktafin, Elik Hari Negara, Putri Abdi Nurcholis, Muhammad Tofa Nurfian Yudhistira Pamungkas, Pantra Rizal Panggih Suseno Raditya Wardhana Retzi Yosia Lewu Rizqi Sukma Kharisma Robert Marco, Robert Saputro, Uyock Anggoro Slamet Slamet Slameto, Andika Agus Sri Wulandari Sumarni Adi Sutarni, Sutarni Uyock Anggoro Saputro Uyock Anggoro Saputro Widdi Djatmiko Wirasakti, Lucky Adhikrisna Yoga Pristyanto Yuliana Rizki Ikhsanty