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All Journal Indonesian Journal of Electrical Engineering and Computer Science IWTJ : International Water Transport Journal
Amrillah, Muhammad Fahmi
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Transportation

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Light Control and Watering System in Greenhouse for The Cultivation of Chrysanthemum Sp Adam Faroqi; Muhammad Ali Ramdhani; Muhammad Fahmi Amrillah; Lia Kamelia; Eneng Nuraeni
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp950-957

Abstract

Chrysanthemum (Chrysanthemum Sp) is sensitive to temperature and humidity. The greenhouse is an appropriate planting medium since temperature and humidity can be engineered there. This article presents the design of systems using DHT-22 and SEN0057 sensors. Real Time Clock (RTC) is used for providing timing input and functions as an extra light intensity timer. Arduino Mega 2560 is used as a microcontroller functioning to receive the results of sensor measurement and to give output instructions to condition the temperature and humidity. The testing on chrysanthemum Sp placed inside the greenhouse equipped with the system for 7 days shows an increase of height of 3.7 cm. As for chrysanthemum Sp placed outside the greenhouse equipped with the system for 7 days, there is an increase of height of 0, 2 cm. These greenhouse light control and Watering systems can engineer the temperature and humidity in accordance with the needs of chrysanthemum Sp cultivation in the greenhouse. 
Metode Spray Metal Sleeve pada V Bracket Shaft Propeller Kanan Kmp. Kirana III di Galangan Kapal PT. JMI Semarang Aziz, Dadang Abdul; Sidartha, Driakoro Budi; Amrillah, Muhammad Fahmi
IWTJ : International Water Transport Journal Vol. 7 No. 1 (2025): International Water Transport Journal (IWTJ:April)
Publisher : Politeknik Transportasi Sungai Danau dan Penyeberangan Palembang

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Abstract

Logam merupakan material yang berperan besar dalam dunia teknologi dan industri. Namun, pemanfaatannya kerap terkendala oleh faktor-faktor yang menurunkan daya guna, seperti keausan tinggi dan umur pakai yang pendek akibat kegagalan pada bidang kontak permukaan. Permasalahan ini mengharuskan penggantian komponen yang aus, yang tentunya memerlukan biaya tinggi. Sebagai solusi alternatif, metode pelapisan Spray Metal digunakan dengan melapisi logam memakai material tahan aus yang lebih baik. Teknik ini diaplikasikan oleh PT JMI Semarang dalam proses perbaikan V Bracket Shaft Propeller kanan KMP Kirana III, dengan hasil berupa pengembalian dimensi awal shaft dan bracket shaft yang mengalami keausan.
Comparison Of SSD Method Performance with YOLOv7 in Detecting River And Lake Traffic Signs Amrillah, Muhammad Fahmi; Sari, Desti Yuvita; Utami, Fisca Dian; Sari, Yulia Puspita; Ulya, Febri Himmatul; Yuda, Dimas Pratama
IWTJ : International Water Transport Journal Vol. 7 No. 1 (2025): International Water Transport Journal (IWTJ:April)
Publisher : Politeknik Transportasi Sungai Danau dan Penyeberangan Palembang

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Abstract

River and lake traffic signs play an important role in maintaining the safety of water navigation, but there is still a lack of understanding and supporting technology to recognize them automatically. This study aims to compare the performance of two popular object detection methods, namely YOLOv7 and Single Shot Multibox Detector (SSD), in identifying river and lake signs based on digital images. The dataset used consists of 6,650 images, including original data and data that has been augmented with visual degradation such as low resolution, noise, blur, lighting artifacts, occlusion, and cluttered background. This study evaluates the models based on accuracy, precision, and recall metrics. The test results show that YOLOv7 excels in all metrics, with the highest accuracy of 78%, compared to SSD which only reaches 70%. Both models experience a significant decrease in performance under occlusion and cluttered background conditions, but YOLOv7 still shows better resilience. Meanwhile, the blur condition is the degradation that least affects the performance of both models. These findings confirm that YOLOv7 is more robust to visual disturbances and can be a more effective alternative in automatic river and lake traffic sign recognition systems.
Co-Authors Adam Faroqi Aziz, Dadang Abdul Dimas Pratama Yuda, Dimas lia kamelia Muhammad Ali Ramdhani Nuraeni, Eneng Sari, Desti Yuvita Sari, Yulia Puspita Sidartha, Driakoro Budi Ulya, Febri Himmatul Utami, Fisca Dian