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All Journal Jurnal Simetris Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications POSITIF CESS (Journal of Computer Engineering, System and Science) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo Jurnal Tekno Kompak Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JTIKOM: Jurnal Teknik dan Sistem Komputer ICTEE (Engineering Journals of Information, control, telecommunication and electrical) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi JAPI: Jurnal Akses Pengabdian Indonesia INJECTION: Indonesian Journal of Vocational Mechanical Engineering Jurnal Informatika: Jurnal Pengembangan IT Journal of Social Sciences and Technology for Community Service Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA)
Prasetyawan, Purwono
Institut Teknologi Sumatera
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Sistem Pemantauan Kendaraan Parkir Berbasis Mobile Programming Ranita Simbolon; Purwono Prasetyawan; Nia Saputri Utami
Jurnal Ilmiah Sistem Informasi Akuntansi Vol. 5 No. 1 (2025): Volume 5, Nomor 1, June 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jimasia.v5i1.376

Abstract

Sistem parkir konvensional yang masih mengandalkan pencatatan manual seringkali menyebabkan ketidakefisienan serta lemahnya aspek keamanan kendaraan. Untuk mengatasi permasalahan tersebut, penelitian ini mengembangkan sistem ALPRON, yaitu sistem pemantauan kendaraan parkir berbasis mobile yang terintegrasi dengan teknologi Automatic License Plate Recognition. Komponen utama sistem ini terdiri dari kamera, modul pemroses Raspberry Pi, prototipe palang parkir bermotor servo, database server, aplikasi Android sebagai antarmuka pengguna, serta dashboard web untuk pemantauan oleh admin. Metode pengembangan perangkat lunak yang digunakan adalah model waterfall, sedangkan pengujian dilakukan melalui unit testing, usability testing menggunakan System Usability Scale (SUS), dan pengukuran delay transmisi data. Hasil unit testing menunjukkan seluruh fitur dalam aplikasi berjalan sesuai fungsinya dengan tingkat keberhasilan 100%. Usability testing terhadap 30 responden menghasilkan skor SUS sebesar 74,1 yang dikategorikan baik dan diterima oleh pengguna. Pengujian delay menunjukkan bahwa koneksi Wi-Fi kampus lebih stabil di dalam ruangan, sedangkan provider tertentu lebih optimal di luar ruangan. Penelitian ini menawarkan solusi parkir pintar yang praktis dan efisien yang meningkatkan keamanan melalui verifikasi kode QR dan dapat diimplementasikan di lingkungan kampus dan fasilitas umum lainnya.
Penerapan Sistem Pengkabutan Kumbung Berbasis IoT dan EBT pada Anggota Kepung Seto Sejahtera Purwono Prasetyawan; Putty Yunesti; Raizummi Fil’aini
Journal Social Science And Technology For Community Service Vol. 6 No. 1 (2025): Volume 6, Nomor 1, March 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i1.473

Abstract

Kegiatan pengabdian ini bertujuan untuk menyelesaikan permasalahan terkait produktivitas jamur tiram yang dihadapi oleh anggota kelompok Kepung Seto Sejahtera, terutama saat kondisi cuaca panas. Solusi yang ditawarkan adalah penerapan sistem pengkabutan otomatis berbasis teknologi Internet of Things (IoT) dan Energi Baru Terbarukan (EBT). Sistem ini diterapkan pada tiga kumbung jamur milik anggota kelompok, dilengkapi dengan sensor suhu dan kelembapan serta sistem pengabutan otomatis yang dapat dikendalikan secara daring melalui aplikasi smartphone. Selain implementasi teknologi, dilakukan juga sosialisasi, pelatihan, dan pendampingan kepada anggota kelompok untuk meningkatkan kemampuan manajerial dan pemanfaatan teknologi. Hasil pelaksanaan menunjukkan bahwa 4 anggota yang mengikuti sosialisasi, mayoritas memahami urgensi penggunaan teknologi ini. Tiga dari 4 anggota yang diberikan pelatihan, mampu mencoba sistem sendiri. Kemudian 2 dari 3 anggota yang diberikan pendampingan, mampu melakukan operasional dan perawatan mandiri. Penggunaan teknologi ini mampu menjaga kestabilan suhu dan kelembapan kumbung serta mempertahankan produktivitas jamur tiram di tengah cuaca panas. Selain itu, keberhasilan sistem ditunjukkan dengan evaluasi fungsionaltas sistem. Kegiatan ini juga memberikan dampak positif terhadap pencapaian Indikator Kinerja Utama (IKU) dan program MBKM di lingkungan perguruan tinggi.
IoT and Renewable Energy Training and Implementation for Smart Village in Karang Anyar Purwono Prasetyawan; Putty Yunesti; Afit Miranto; Doni Bowo Nugroho; Gde KM Atmajaya; Meraty Ramadhini; Muhammad Reza Kahar Aziz; Eko Satria
Journal Social Science And Technology For Community Service Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Maret 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v7i1.1662

Abstract

This community service program addressed productivity instability in oyster mushroom cultivation and limited utilization of digital and renewable-energy-based village infrastructure in Karang Anyar Village, South Lampung. The program aimed to strengthen agricultural productivity and support Smart Village development through training and implementation of Internet of Things (IoT) and renewable energy technologies. The activities included participatory needs assessment, installation of an IoT-based automatic misting system in mushroom houses, deployment of solar-powered lighting systems for the village sports field, and training on Content Management System (CMS)-based website management involving mushroom farmers, village administrators, and university students participating in the Community Service Program (KKN). Functional testing showed that the IoT-based misting system achieved 100% operational performance, while training activities involved seven mushroom farmers with more than 50% of participants demonstrating adequate understanding of system operation and digital platform utilization. In addition, the installation of solar-powered lighting improved the accessibility of village sports facilities at night. These results demonstrate that integrating IoT and renewable energy technologies effectively supports Smart Village development and strengthens sustainable community-based innovation in rural areas.
Implementation of markerless augmented reality and cyber physical-social systems for smart tourism application Ilham Firman Ashari; Fanesa Hadi Permana; Muhammad Zainal Arifin; Purwono Prasetyawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27414

Abstract

Lampung province holds substantial tourism potential that remains underutilized due to fragmented information and limited promotional strategies. This study introduces a smart tourism application integrating markerless augmented reality (AR) with cyber-physical-social systems (CPSS), representing the first implementation of its kind for location-based tourism in the region. The novelty lies in the hierarchical coordinate transformation architecture (HCTA), a multi-layer computational framework employing the Haversine formula to achieve high-precision mapping of geographic coordinates into AR-optimized perceptual views. The system was evaluated for geolocation accuracy, resource utilization, backend scalability, AR rendering robustness, and user experience. Results show strong performance: geolocation tests across seven destinations yielded a mean error rate of 1.5%; AR operations remained efficient with 8–10% central processing unit (CPU) and 140–160 MB random access memory (RAM) usage; and rendering was stable across 360° device orientation. Backend tests confirmed scalability, sustaining 56 requests per second with zero failures under 100 concurrent users. A user study with 20 participants using the user experience questionnaire-short (UEQ-S) revealed highly positive outcomes, with overall scores 2.275, all within the Excellent benchmark. These findings confirm that the application is not only technically robust and efficient but also engaging and enjoyable, offering a scalable framework for immersive smart tourism ecosystems.
Optimization of MobileNet SSD Using Pruning, Quantization, and Transfer Learning for Real-Time Vehicle Detection in IoT-Based Security Systems Miranto, Afit; Prasetyawan, Purwono; May Aryanto, Iqbal
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5488

Abstract

Security is a critical requirement in modern public and private environments, especially in systems that rely on resource-constrained IoT devices. This research aims to optimize the MobileNet SSD (Single Shot MultiBox Detector) model to achieve fast and reliable real-time vehicle and human detection on low-power hardware. The proposed optimization pipeline integrates three techniques: pruning to reduce network redundancy, quantization to accelerate inference and decrease memory usage, and transfer learning using six relevant object classes (person, car, motorcycle, bicycle, bus, and truck). Experiments were conducted on a Raspberry Pi 5 equipped with a camera and local dashboard interface. The optimized MobileNet SSD v2 model achieved a mean Average Precision (mAP) of 0.724 and mAP@0.5 of 0.951, while improving inference speed from 21 FPS to over 24 FPS. These results indicate a balanced trade-off between accuracy, speed, and resource efficiency, enabling stable real-time performance on constrained IoT platforms. The findings contribute to the body of knowledge in embedded and edge AI by demonstrating how integrated model-level optimization can significantly enhance deep learning inference on low-power systems, offering scientific and practical implications for smart surveillance and intelligent traffic monitoring.
Co-Authors A. Sumarudin Ade Surahman Adi Sucipto, Adi Afit Miranto Agus Mulyanto Agus Mulyanto Agustina Eka Kumala Ahmad Al Fahrezi Ali Muhtar Amarudin Amarudin Amelia Oktavia Apritrycia, Erdyvania Apriyadi Apriyadi Ardi Zulkarnais Arifanto, Bima Aulia, Muhammad Athallah Cahya Ayu Soleha Azis Saputra Bima Arifanto Buana, Setiadi Wira Doni Bowo Nugroho Dwi Ely Kurniawan Eko Dwi Nugroho Fanesa Hadi Permana Fika Trisnawati Fil’aini, Raizummi Fini Febriani Gde KM Atmajaya Gunawan, Rakhmat Dedi Hartadi, Nanda Rachmat Heni Pujiastuti Idza Ramaulkim Ilham Firman Ashari Ilham Firman Ashari Iqbal, Muhammad Lanang Almasyuri May Aryanto, Iqbal Meraty Ramadhini Miftahul Donny Sanjaya Muhamad Ridwan Muhammad Asrofi, Muhammad Muhammad Bakri Muhammad Iqbal Muhammad Qaessar Kartadilaga Muhammad Reza Kahar Aziz Muhammad Zainal Arifin Muhtar, Ali Naufal, Yusuf Nia Saputri Utami Oscar, Mona Ratu Petrus Mursanto Prabowo, Rizky Putty Yunesti Putu Eka Sumara Dita Rahmad Genaldo Raizummi Fil’aini Raizummi Fil’aini Ramadhan, Arif Kurnia Ramadhani, Uri Arta Ranita Simbolon Riskiono, Sampurna Dadi Rohmat Indra Borman Roinaldhi Pandu Mustira Ryan Andre Nugroho S. Samsugi Sampurna Dadi Riskiono Sanjaya, Sukma Satria, Eko Septiyanda, Yunita soleha, Ayu Sukma Sanjaya Syaiful Ahdan Tri Septyawan URI ARTA RAMADHANI Wijayanto, Danur Wisnu Jatmiko Yopan Ferdianto Yunita Septiyanda