This study aims to design and implement a load cell sensor system for fresh fruit bunches (FFB) based on mass, using a conveyor and load cell sensor. The system is designed to detect the weight of the bunches in real time and separate them according to the minimum weight criteria established by the Indonesian Ministry of Agriculture Regulation No. 1 of 2018, which is above 3 kg. The mass de…
A machine vision system has been developed to assist in the automatic and real-time sorting and grading of oil palm Fresh Fruit Bunches (FFB), especially for detecting their ripeness level. The system consists of a computer vision unit, a conveyor, a control circuit, and a separation arm. The conveyor speed and the camera's frame rate per second (FPS) influence the accuracy of image detection. …
The manual classification process of fresh fruit bunches (FFB) in oil palm has limitations, particularly with stacked objects, due to subjective assessment and low efficiency. This research develops an automated system based on computer vision using the YOLOv8 algorithm to detect and classify normal and defective FFB (empty bunches, rotten, long stalks, and long thorns) stacked on a conveyor. A…
The multispectral imaging has been used in agriculture to evaluate fruits and vegetable. This system consists of a light source, monochrome camera and two color filters. In the implementation of the size of the sorted and graded FFB, it varies causing varying intensity because the working distance which varies causes errors in determining the maturity of oil palm FFB because the shadow of the…
Oil palm is a major commodity in Indonesia’s plantation industry. However, the identification process of fresh fruit bunch (FFB) varieties such as Dura and Tenera is still carried out manually and destructively, making it inefficient and tiring. This research aims to develop a non-destructive identification system based on ultrasonic sensors and Artificial Neural Networks (ANN) to distinguish…
Oil palm is a primary commodity in Indonesia’s plantation industry, with the production of fresh fruit bunches (FFB) increasing annually. However, the process of identifying FFB varieties such as Dura and Tenera is still performed manually using axes in a destructive manner, which is inefficient and damages the surface of the fruit. Non-destructive imaging methods have emerged to address this…
This research is titled "Mapping the Potential of Groundwater Using the Schlumberger Configuration Geoelectric Method in Jati Mandiri Housing, Air Putih Village, Tuah Madani District, Pekanbaru City". The main objective of this study is to evaluate the groundwater resource potential in the area, where most residents still rely on boreholes and dug wells as sources of clean water. The geoelectri…
Water pollution hazardous pollutant compounds is often found in the industrial sector. This study aims to increase the photocatalytic activity of ZnO for the degradation of 4-nitrophenol pollutants in wastewater. The method used in this study is the nanoparticle biosynthesis method that utilizes plant extracts. ZnO material is doped with (Ag, Se, and S) using matoa leaf extract and microwave ir…
The main challenge in energy management lies in the instability of power supply from different sources and the need for an automated system that efficiently switches between energy sources. This study aims to design and develop a power management module based on Arduino Uno that is capable of automatically monitoring and controlling the transitions between power sources. The system uses INA219 …
People tend to have a less productive lifestyle, excessive use of electronics and consumptive behavior that affects sleep patterns. Bad habits carried out continuously cause hormonal imbalances characterized by insomnia and depression. The amino acid L-Tryptophan (Trp) is reported to improve sleep quality and early treatment of early symptoms of insomnia without depressant drugs. However, the u…
This study aims to design a system for detecting ripeness levels and automatically counting oil palm Fresh Fruit Bunches (FFB) using a computer vision approach based on YOLOv8 and ByteTrack algorithms. The main issue addressed is the low efficiency and accuracy of the manual sorting process based on ripeness level, which is still commonly used in the palm oil industry. The system is designed to…
The development of optical communication technology demands stable and efficient transmission media, one of which is single mode fiber (SMF). One of the main challenges in optical fiber performance is the birefringence phenomenon, which is the difference in refractive index between two orthogonal polarization directions, which can cause polarization dispersion and decreased transmission quality…
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The effect of chemical activation temperature on the performance of activated carbon electrodes based on orange peel biomass (citrus sinensis) for supercapacitor applications has been studied. Activated carbon was prepared by chemical activation using 0.5 M ZnCl2 with temperature variations of 750 °C (JR-750 sample), 800 °C (JR-800 sample), and 850 °C (JR-850 sample). Temperature treatment i…
Fiber optics have revolutionized modern communication by boosting data transmission efficiency and channel capacity through high transfer speeds, with SMF, a light-based medium, offering significant advantages like wide bandwidth and low signal attenuation. However, fiber optics aren't immune to technical issues, particularly splice loss, which diminishes optical signal power due to imperfect f…
Ferroelectric materials, such as Barium Zirconium Titanate (BT-BZT), exhibit spontaneous polarization and the ability to reverse their internal electric field direction, rendering them highly promising for electronic applications, including capacitors, sensors, and actuators. With high permittivity, tunability, and low dielectric loss, BT-BZT is an ideal candidate for capacitor applications, pa…
Heart rate measurement using electrocardiogram (ECG) signals is generally still performed manually, which is less effective, especially when limited to close range. Therefore, a computational approach is needed to optimize measurement results. The Fast Fourier Transform (FFT) is applied to convert the EKG signal from the time domain to the frequency domain, enabling accurate identification of t…
This study aims to develop an automatic system for detecting the quality of loose fruit of the oil palm using the YOLOv8 algorithm based on digital imaging. A total of 200 loose fruit samples were classified into four quality categories: fresh, rotten, dry, and mouldy. Image acquisition was conducted using an RGB camera with a resolution of 640×480 pixels, resulting in 800 labeled images. The …
Exploration of underground water becomes urgent in areas with population growth and intensive domestic activities. This research was conducted to map the distribution of aquifers and evaluate the quality of underground water in Perhentian Marpoyan Village, Marpoyan Damai Sub-district, Pekanbaru City. The method used was Wenner configuration geoelectric survey and geochemical analysis based on p…
Separation of oil palm fruit bunches after the threshing process is important to reduce oil loss that remains in the bunches. This study aims to develop an automation system based on computer vision and an Arduino Uno microcontroller to separate empty bunches and partially stripped bunches in real-time. The method used is the YOLOv8 object detection algorithm, trained using a dataset of partial…