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Node-RED dan Robotik pada Sistem Penyiraman Otomatis berbasis IoT Wahyu Kurnia Dewanto; Aji seto Arifianto; Hariyono Rakhmad; Hermawan Arief Putranto; Muhammad Hafidh Firmansyah
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.609

Abstract

The Internet of Things (IoT) technology offers great potential in the agricultural sector, especially in the automation of plant irrigation systems. Many farmers face challenges with water use efficiency and real-time land condition monitoring. Manual irrigation systems often lead to water wastage. Currently, many centralized irrigation systems use a one-by-one watering approach, requiring multiple sensors to monitor each plant's condition, making them less efficient. To address this issue, this research developed an automated irrigation system controlled by Node-RED and robotic technology. The system is designed to require only one sensor to monitor the entire agricultural area, while still efficiently distributing water to many plants. Node-RED manages data from soil moisture and environmental temperature sensors, then activates the watering robot to distribute water according to the plants' needs. The system was tested by comparing manual and automatic methods using polybags. The soil moisture sensor sends data to Node-RED, which activates the watering robot when soil moisture falls below a set threshold. Test results show that the automated system can save up to 20% of water usage compared to manual methods, while keeping soil moisture within the optimal range. This system also enables real-time monitoring and control, providing a more efficient, timely, and resource-saving solution.
Implementasi Sistem  Evaluasi Kinerja Dosen untuk Mendukung Peningkatan Kualitas Pembelajaran Sholihah Ayu Wulandari; Trismayanti Dwi Puspitasari; Aji Seto Arifianto; Nugroho Setyo Wibowo; Rifqi Aji Widarso
Jurnal Medika: Medika Vol. 5 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/vs965s30

Abstract

Lecturer performance evaluation is a crucial aspect in improving the quality of learning in higher education. However, current evaluation processes are often conducted generally and fail to accurately represent the performance of individual lecturers. To address this issue, a web-based lecturer performance evaluation system was developed at the Department of Information Technology, State Polytechnic of Jember. This system allows students to directly evaluate lecturers through a Likert-scale questionnaire covering three main aspects: pre-learning, learning implementation, and post-learning activities. The method used in this program includes system design, implementation, and trials involving both lecturers and students. The results show that the system facilitates a more transparent, efficient, and real-time evaluation process, generating accurate performance reports that support accreditation and internal quality assurance. Moreover, the system encourages two-way feedback between students and lecturers as a foundation for continuous improvement in the teaching process. Therefore, the implementation of this JTI Innovation is a strategic step toward building a culture of quality and transparency within higher education institutions.
Model Intervensi Tiga Pilar Sebagai Upaya Menurunkan Prevalensi Stunting di Tanggul Kulon Aji Seto Arifianto; Aqshal Nur Ikhsan; Syahmi Naufal Saputra; Nandita Putri Hanifa Jannah; Muhammad Rayasya Dziqi Cahyana; Rusdiarti Rusdiarti; Stephani Nesya Renamastika; Hendra Yufit Riskiawan; Syamsul Arifin; Ely Mulyadi
Jurnal Medika: Medika Vol. 5 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/n6txa130

Abstract

Stunting in Tanggul Kulon Village, Jember, is a critical issue that negatively affects children’s health and cognitive development. Survey and interview results indicate that 2.71% of toddlers are identified as stunted. This condition is influenced by several factors, including limited knowledge about the importance of exclusive breastfeeding as a preventive measure, the lack of easy-to-use, automatic, and accurate anthropometric monitoring tools, and the need for alternative complementary foods that can address nutritional deficiencies in toddlers. This community service program implements a holistic three-pillar intervention. The methods used include: (1) Educational Intervention, through counseling on the importance of exclusive breastfeeding; (2) Technological Intervention, through the development and implementation of an Internet of Things-based anthropometric measurement device integrated with a mobile application for real-time monitoring; and (3) Nutritional Intervention, through hands-on training in producing healthy and nutritious cookies, which have undergone laboratory proximate analysis as supplementary food for toddlers.The results show that the implementation of the IoT system and the cookie-making training was successful, accompanied by capacity building for 18 Posyandu cadres and nutrition education for 90 families. These efforts provided direct benefits to around 200 toddlers and their parents, who now have access to more accurate growth monitoring. The interventions contributed to a reduction in stunting cases during the program, achieving a decrease of 29.63%. In conclusion, the integrated synergy between nutrition education, technological innovation, and food-based interventions has produced a comprehensive, measurable, and sustainable stunting-reduction model that can serve as a replicable reference for addressing similar issues in other communities