Supercapacitors are superior energy storage devices that are safe and environmentally friendly with high power density. Supercapacitors consist of electrodes, current collectors, electrolytes, and separators. This study uses snakehead fish scale biomass with variations in physical activation temperature, namely 700°C, 800°C, and 900°C, with sample codes SG700, SG800, and SG900, respectively.…
Conventional identification of oil palm varieties, particularly Dura and Tenera, is still carried out destructively and subjectively, making it less suitable for large-scale applications. This study proposes a non-destructive classification method based on computer vision using ImageJ software. A total of 40 fresh fruit bunches (FFB), consisting of 20 Dura and 20 Tenera, were imaged from both t…
This study aims to produce learning media in physics subjects, especially on the material of uniform circular motion (GMB) that are valid and practical. The practical tools consist of experimental devices in the form of a regular circular motion experimental tool using the Arduino Uno Microcontroller along with a guide to using the practical tools to increase learning interest and psychomotor a…
Pemahaman konsep siswa terhadap materi Ilmu Pengetahuan Alam (IPA), khususnya pada topik rangkaian listrik, masih tergolong rendah. Hal ini disebabkan oleh karakteristik materi yang bersifat abstrak serta metode pembelajaran konvensional yang cenderung menekankan pada hafalan daripada pemahaman mendalam. Selain itu, kurangnya pengalaman belajar yang kontekstual dan bermakna juga turut memengaru…
Education is widely recognized as one of the fundamental drivers of national progress. A well-structured educational system contributes to the development of high-quality human resources. Education, in essence, provides a learning environment and instructional process that enable learners to actively cultivate their potential, encompassing spiritual values, self-regulation, personality, intelli…
The application of science education is not merely about gathering knowledge, but must emphasize providing direct experiences in the learning process to improve students' cognitive learning outcomes. To facilitate the science learning process, creative and innovative methods must be used so that learning objectives can be achieved to the maximum extent possible. Therefore, innovation is needed …
Supercapacitors are environmentally sustainable energy storage devices that have attracted significantly attention due to their excellent performance. In this research, supercapacitor electrode materials were prepared from tilapia scales waste biomass with varying concentrations of KOH as a chemical activator, namely 0.1 M, 0.2 M, and 0.3 M with sample codes SI-01, SI-02 and SI-03, respectively…
The global energy crisis caused by increasing energy consumption and the limitations of fossil resources drives the development of environmentally friendly energy storage technologies, such as supercapacitors. Supercapacitors require electrode materials with high conductivity, large surface area, and good electrochemical stability. This study aims to develop activated carbon electrodes derived …
Supercapacitors are energy storage devices known for their rapid charging time, long cycle life, and high electrochemical stability. One of the key components in a supercapacitor is the carbon electrode. This study aims to synthesize carbon electrodes derived from green grass jelly leaf biomass (Premna oblongifolia Merr) by incorporating nitrogen doping using thiourea. The synthesis process beg…
SUMMARY RABIAH, Student ID 2310246460, Interpretation of Groundwater Case Study in Harjosari Village, Sukajadi District, Pekanbaru City Using Geophysical and Geochemical Integration, supervised by Juandi, M and Ari Sulistyo Rini. Groundwater plays a crucial role in supporting the basic needs of the community, ranging from consumption and sanitation to economic activities, especially for house…
SUMMARY FAUZIAH HAFNI, NIM. 2110247675, The Development of a Fluid Physics E-Module Using the Problem Based Learning (PBL) Model to Improve Class XI Students' Motivation and Cognitive Learning Outcomes at SMA Negeri 4 Bagan Sinembah, Supervised and Proctoring by Fakhruddin and Yennita. The problems found in the learning process are low motivation and learning outcomes of students. Factors tha…
SUMMARY ANSHORI KASRI, NIM. 2110247694, Simulation of Argon Plasma Ionization in Thermodynamic Equilibrium with Continuity Equation, supervised and proctoring by Saktioto and Rakhmawati Farma The use of plasma in the industrial world is spread across various implementations. The processes that occur in plasma have been observed experimentally in various studies. Local thermodynamic equilibriu…
ABSTRACT This study aims to analyze electrocardiogram (ECG) signals using the Fast Fourier Transform (FFT) method to support heart rate diagnosis. The data used consists of nine recordings of patient ECG signals obtained in graphic form, then converted into numerical data using PlotDigitizer software. Furthermore, the data was analyzed in the frequency domain using the FFT algorithm formulated…
SUMMARY DIAN PUTRI OKTAVIA, NIM. 2110246788, REFLECTIVITY OF FIBER BRAGG GRATTING ON HUMAN RESPIRATION USING AN INDIUM GALIUM ARSENIDE PHOTODIODE CONVERTER SYSTEM, supervised by Saktioto and Dwi Hanto. Respiration is a vital process characterized by the exchange of oxygen and carbon dioxide. Indicators such as respiratory rate are crucial for detecting pathological conditions, including …
SUMMARY Nisa Arpyanti, NIM. 2210246740. Prediction of Ripeness Level and Chemical Content of Oil Palm Fresh Fruit Bunches Usimh Multispectral Imaging and YOLO algorithm, supervised by Prof. Dr. Minarni, M.Sc and Dr.-Ing Rahmondia Nanda Setiadi, M.Si. The main issue addressed in this study is the limitation of the current sorting system for oil palm Fresh Fruit Bunches (FFB), which is stil…
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…