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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Sinus JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Informatika Kaputama (JIK) Jurnal Mantik Jurnal Informasi dan Teknologi JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Tika Instal : Jurnal Komputer Multica Science and Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Indonesian Community Journal Sisfo: Jurnal Ilmiah Sistem Informasi SAGA: Journal of Technology and Information Systems Journal Of Artificial Intelligence And Software Engineering Jurnal Medika: Medika Science: Indonesian Journal of Science
Ananda Faridhatul Ulva
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Performance Evaluation of Augmented Reality-Based Smart Farming for Rice and Corn Pest Detection Faridhatul Ulva, Ananda; Yulisda, Desvina; Baidhawi, Baidhawi; Nurhasanah, Nurhasanah
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16996

Abstract

An Augmented Reality application for detecting pests and diseases in rice and corn has been developed to overcome the limitations of visual identification in the field, which still relies on subjective interpretation by users. This system utilises image processing and AR overlay based on smart farming to classify symptoms in real time, improving the precision of diagnosis and consistency in control decision-making. This study aims to design, implement, and evaluate the performance of an augmented reality (AR)-based smart farming system for the visual and interactive detection of pests and diseases in rice and corn crops. The research method uses an evaluative approach by assessing the performance of the Augmented Reality system in the field based on detection accuracy, operational reliability, and the suitability of the results to the predetermined performance indicators. Testing was conducted in Gampong Releut Barat, Dewantara District, North Aceh. The results showed that pest and disease detection accuracy increased from 42.4% to 66.7%, with a system response time of <2 seconds, accompanied by an 18% reduction in crop damage and a 24% increase in productivity, confirming the reliability of the system for field diagnosis. This achievement is significant because it meets the operational performance threshold for smart farming and demonstrates the system's readiness for adoption as an Augmented Reality-based decision support tool at the farmer level. The research conclusion indicates that Augmented Reality-based smart farming has the potential to improve detection accuracy, control efficiency, and crop productivity as a support for precision agriculture and sustainable village food security.
A Tabu Search Approach for Capacitated Vehicle Routing with Pickup and Delivery in Motorcycle-Based Urban Logistics under Traffic and Weather Constraints Rizani, Fitri; Ananda Faridhatul Ulva; Muslem, Imam; Amin, Muhammad
Bahasa Indonesia Vol 17 No 10 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i10.449

Abstract

Motorcycle-based couriers play an essential role in urban logistics due to their flexibility and efficiency in congested environments. However, limited vehicle capacity combined with simultaneous delivery and pickup activities makes route planning a complex optimization problem. This study addresses the Capacitated Vehicle Routing Problem with Pickup and Delivery (CVRPPD) for motorcycle couriers by incorporating traffic congestion and weather conditions into the travel cost model. A Tabu Search metaheuristic is proposed to optimize routing decisions while simultaneously determining the optimal number of vehicles under a dynamic load constraint. The objective function is formulated using a lexicographic approach, prioritizing the minimization of the number of vehicles followed by the minimization of total travel cost, which is influenced by distance, traffic level, and weather condition. Computational experiments were conducted on a dataset consisting of one depot and 50 customers, with a maximum vehicle capacity of 30 kg. The simulation results demonstrate that the proposed approach consistently identifies an optimal solution using five motorcycles, which corresponds to the theoretical lower bound derived from total pickup demand. All customers are served exactly once without violating capacity constraints, and the maximum vehicle load reaches the allowable limit of 30 kg. The total travel cost obtained is 1316.262, indicating efficient route construction under dynamic environmental conditions. These results confirm that Tabu Search is an effective and robust approach for solving CVRPPD in motorcycle-based urban logistics, particularly when realistic operational factors such as traffic congestion and weather variability are considered.
Co-Authors Abdi Zulfikri Akbar, Rahmat Alimul Haq, Nur Amalia, Fatihah Indah Andriani, Dela Angga Pratama Angga Pratama Aulia, Keysha Bahrul Ulumul Haq Baidhawi Baidhawi Chairil Anwar Chairul Akbar Cut Meurah Nurul ‘Akla Dahlan Abdullah Desvina Yulisda Dhani, Saniah Eka Susanti Eka Susanti Eza Pradanta Sitepu Fadhliani Fadhliani, Fadhliani Fajar Tri Tri Anjani Fidyati, Fidyati Hafizh Al Kautsar Aidilof Himmatur Rijal Ikhwani, Muhammad Ikhwani ilham - sahputra Ilham Saputra Ivan Maulana Kurniawati Kurniawati Lianita, Ervi M Taufiq Hariadi Masriadi Maulida Hasbi Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza, Ade Mochamad Ari Saptari Muhammad Abdullah Ali Muhammad Abdullah Ali Muhammad Amin Muhammad Zikri Mukti Qamal Munirul Ula Muslem R, Imam Mutammimul Ula Muzakir Nur Nazimah Nazimah Nunsina, Nunsina Nur Alimul Haq Nur, Muzakir Nurdin Nurdin Nurhasanah Nurhasanah Nurhasanah Rahma Fitria Rahma Fitria, Rahma Reyhan Achmad Rizal Ridwan Ridwan Rizani, Fitri Rizki Setiawan Rizky Putra Fhonna Saptari, Mochamad Ari Setiawan, Rizki Sinambela, Reza Syahputra Syafitri, Siska Aulia Ulumul Haq, Bahrul Wardana, Ade Bagus WULANDARI Yesy Afrillia Yulisda, Desvina Yumna Rilasmi Said Yumna Rilasmi Said Yunia Silfitri yusliana, yusliana Zahratul Fitri, Zahratul Zuhra, Elviza