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Sistem Penyiraman Otomatis Terdistribusi untuk Tanaman Melon Madu Berdasarkan Usia dan Kebutuhan Nutrisi Utama, Jana; Herdiana, Budi; Adhari , Febryan
Jurnal Pertanian Vol. 15 No. 2 (2024): OKTOBER
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jp.v15i2.14749

Abstract

Regular watering and with the right portion are very important in melon cultivation. The current melon fruit watering system is still done by turning the water tap on the watering pipe block to flow the water. Therefore, there needs to be an application of technology that can help melon farmers in the watering process. Although many researchers have developed automatic watering models, some have even used IoT technology. However, this study has not considered the need for watering based on the age of the melon plant itself. In fact, this automatic watering system based on the age of the melon plant is what melon farmers need, so that the melon plants grow well and produce quality fruit. This study aims to develop a distributed automatic watering system based on the age of the plant and nutritional needs. The methods used include the integration of electronic instrumentation technology and distributed automatic control to provide the right watering process. The results of the study showed that this system is effective in optimizing the watering process so that nutrients can be absorbed properly. With this system, the level of fruit sweetness at harvest can reach 17 brix, and the size of the honey melon produced can reach 1.2 kg. In conclusion, this distributed automatic watering system is a smart solution to optimize the growth and yield of melon plants.
Autonomous Nutrient Controller System for Hydroponic Honey Melon Based on the Integration of Artificial Intelligence Algorithms According to Planting Time Herdiana, Budi; Utama, Jana; Sutono, Sutono; Adhari, Febryan Rizky; Henrikus, Yansen
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

The honeydew melon cultivation model using the hydroponic greenhouse method has been widely applied due to its ease in controlling nutrients and the environment. However, complaints from farmers regarding the inaccuracy of nutrient levels and the dynamic environmental changes, that hinder plant growth and fruit quality, have surfaced. The development of autonomous control technology is crucial as a strategic solution to this issue since the quality of honeydew melon management lies in achieving precise and accurate nutrient levels. On the other hand, managing standardized nutrient composition often becomes a challenge for farmers as the needs constantly change over time. Conventional systems are not yet capable of accurately measuring nutrient levels in line with the plant’s growth stages. According to the objectives of this study, which is to improve the productivity and quality of honeydew melons based on the increase in the sweetness index, the development of an autonomous nutrient control system is proposed. This system integrates artificial intelligence algorithms, namely CNN and Fuzzy Logic, to process plant height image data and multisensor data for system control processes. The research findings that applying this integrated technique has resulted in a sweetness increase of 11.7%, or from the previous value of 15 brix to 17 brix. Even a one-point increase in the brix value leads to a sugar increase of 1 gram per 100 gram of liquid content in the fruit, contributing significantly to the market value. These results indicate that AI-supported agricultural management can be realized in future modern farming practices.
Implementation of Local Binary Pattern Histogram for Automatic Locker System Rahajoeningroem, Tri; Utama, Jana; Kurniawan, Bobi; Hartono, Rodi; Imtyramdhan, Afra Haniv; Aulia, Suci
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

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Abstract

This research presents the design and evaluation of an automatic locker system employing Local Binary Pattern Histogram (LBPH)-based facial recognition for secure, keyless access control. The system integrates a Logitech C270 webcam, Arduino Uno microcontroller, relay module, and solenoid door lock, with processing performed via a laptop interface. Performance was assessed through two protocols: a single-user variability test under different facial accessories, achieving a 66.7% recognition rate, and a multi-user discrimination test, which yielded 50% accuracy across diverse facial profiles. Results indicate LBPH’s robustness against moderate occlusions but notable decline with heavy facial coverage such as helmets and masks. These findings highlight the critical role of facial visibility in biometric reliability and offer practical insights for implementing facial recognition systems in real-world security applications
PERANCANGAN RADIO PORTABEL UNTUK MASYARAKAT PEDESAAN DI INDONESIA BERBASIS FREKUENSI MODULASI (FM) DENGAN MENGGUNAKAN MP3, MEMORY CARD, KOMPUTER DAN LINE IN MICROPONE SEBAGAI MEDIA INPUT RADIO Kurniawan, Bobi; Utama, Jana
Majalah Ilmiah UNIKOM Vol. 13 No. 2 (2015): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

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Abstract

Dalam merealisasikan sebuah perangkat pemancar maka gelombang FM merupakan pilihan yang ideal karena memiliki fidelitas yang tinggi dan tahan terhadap noise. Untuk membangun sistem yang mempunyai frekuensi keluaran yang stabil dan bisa diubah-ubah digunakan sistem PLL (Phase Loocked Loop) pada bagian osilator. Pemancar FM portable merupakan perangkat yang dirancang untuk masyarakat pedesaan yang ada di Indonesia. Perangkat ini mudah dipindah-pindahkan serta mudah dalam penggunaannya. Daya yang dihasilkan pesawat pemancar FM ini sebesar 0.4 Watt – 0.6 Watt dan jarak pancar mencapai jarak 10-20 meter. Sistem pemancar FM portable dengan osilator PLL ini akan bekerja dengan baik bila slot frekuensi yang ditempati masih kosong, sehingga bebas dari interferensi frekuensi pemancar radio lain. Untuk meningkatkan kinerja sistem pemancar FM dibutuhkan respon yang seragam terhadap frekuensi audio, distorsi amplitudo sangat rendah, dan tingkat noise yang rendah.Keywords : Frequency Modulation (FM), Pemancar, Phase Looked Loop (PLL), Portable, Audio Standar
Design of an Electrocardiogram System for Physical Fitness Analysis using Heart Rate Variability and Maximal Oxygen Volume Jana Utama; Yeffry Handoko; Candra Saefulloh
IJIES (International Journal of Innovation in Enterprise System) Vol 9 No 2 (2025): International Journal of Innovation in Enterprise System - Article in Press
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v9i02.9790

Abstract

This study proposes a novel, low-cost, and portable real-time ECG monitoring system integrating the AD8232 sensor and Arduino Nano for comprehensive heart rate variability (HRV) assessment. Unlike conventional ECG devices, the proposed system combines affordable hardware with an embedded processing algorithm capable of directly calculating key time-domain HRV parameters—RMSSD, SDNN, NN50, pNN50, and VO₂Max—without the need for high-end laboratory equipment. The primary objective is to develop and validate a system that can accurately capture physiological responses during both resting and active conditions, enabling fitness assessment and potential early cardiovascular risk detection in field applications. The system was tested on five healthy subjects aged 20–22 years, demonstrating stable operation for over 40 minutes. Results showed that the average heart rate (HR) increased by 6.56% ± 4.8% from rest to activity, with the largest increase in Subject 1 (+12.09%) and the smallest in Subject 3 (+0.93%). Resting RMSSD values ranged from 75.36 to 99.76 ms, decreasing on average by 6.21% ± 4.7% during activity. SDNN values ranged from 62.18–131.88 ms, with Subject 2 showing an increase (122.33→129.06 ms) and Subject 5 a significant decrease (131.88→88.48 ms). NN50 at rest reached a maximum of 124 counts (pNN50=77.78%) and a minimum of 23 counts (pNN50=27%), with an average pNN50 reduction of −18.42% ± 21.5% during activity; the largest drop occurred in Subject 5 (−54.64%), while Subject 1 increased (+26.07%). VO₂Max ranged from 29.98 ml/kg/min (poor) to 39.90 ml/kg/min (excellent), correlating with HRV trends. These findings confirm that the system can quantitatively differentiate autonomic responses between individuals, highlighting its potential for real-time, on-site physiological monitoring, fitness evaluation, and early detection of abnormal cardiovascular patterns.