Abstract. Brake pads are a crucial component of brake parts, especially for motor vehicles. Regulations restricting the use of asbestos have prompted researchers to seek alternatives. In this study, brake pads will be made using biomass waste from sawdust obtained from the activities of furniture MSMEs in the Bangkinang area, Kampar, Riau. The utilization of this biomass waste is intended to minimize waste volume and provide an alternative raw material and production process for brake pads that are low-cost and abundantly available. In this study, brake pads are made with a mixture of sawdust filler matrix and epoxy resin reinforcement matrix. Next, the brake pad samples will be tested for physical characteristics in the form of density and water absorption. Mechanical strength is tested through a bending test using the Universal testing test. Brake pad performance will be tested through wear test values. The results of the test on physical and mechanical properties obtained a density of 0.73 g/cm3, a maximum bending load of 452.67 N, a flexural strength of 187.97 MPa, and an elastic modulus of 184.69 MPa. The physical characteristics of this composite show that sawdust can be an alternative raw material for brake pads that is cheap and abundantly available, thus supporting environmental sustainability.

This study analyzes the performance of the Logistic Regression algorithm in facial image classification using a combination of color and shape features. These features are used to extract key information to distinguish individuals. Logistic Regression was chosen for its simplicity and ability to produce probabilities, despite the availability of more complex algorithms. The dataset includes variations in facial expressions and lighting conditions. The results show that combining color and shape features improves classification accuracy to 80%, with a recall of 88% and a precision of 75.86%. However, the algorithm shows limitations when dealing with high-complexity data. This study contributes to the development of more efficient facial recognition systems and offers insights into the strengths and limitations of Logistic Regression in image classification tasks.

Piping systems are critical components across various industrial sectors, including agriculture. The 90° elbow plays a key role in directing fluid flow; however, abrupt changes in flow direction within the elbow often lead to pressure losses and vortex formation, particularly in configurations with small curvature radii. This study aims to analyze the fluid flow characteristics within a 90° elbow under different curvature radii (extreme, R30 mm, and R50 mm) and various valve opening conditions, using numerical simulation based on Computational Fluid Dynamics (CFD) in ANSYS Fluent 2019 R3. The simulation results show that increasing the curvature radius leads to a more uniform pressure distribution along the bend and a reduction in vortex formation. Although larger valve openings increase flow velocity and Reynolds number, the pressure and velocity contours do not exhibit significant changes in flow patterns. This study confirms that elbow geometry design greatly influences the hydrodynamic efficiency of piping systems and can help minimize the risk of damage due to uneven pressure distribution

Abstract. This research was conducted at PT. Yamatogomu Indonesia with a focus on the I49 Injection machine that experienced high downtime. The objective of the research was to analyze the causes of machine failure and design an appropriate maintenance strategy. The method used was Reliability Centered Maintenance (RCM) supported by Failure Mode and Effect Analysis (FMEA) and Logic Tree Analysis (LTA). The FMEA results identified five main failure modes with a total Risk Priority Number (RPN) value of 702. The top three modes, namely no heat or excessive heat, no vacuum motor pressure gauge indicator, and compound puller motor malfunction, contributed 76% of the total risk. Based on LTA, all failure modes were classified as evident and did not have a direct impact on safety, but could disrupt operations. The maintenance strategies implemented consisted of Condition Directed (CD), Time Directed (TD), and Failure Finding (FF), with the majority of actions (60%) being CD. These results can be the basis for developing a more effective maintenance schedule to minimize downtime and increase production efficiency.

This study was motivated by the low learning motivation among vocational high school students, particularly in productive subjects that require technological understanding. With the advancement of educational digitalization, interactive learning media such as Google Sites has emerged as an innovative solution. The aim of this study was to examine the effect of using Google Sites-based interactive learning media on students’ learning motivation. A quantitative approach was applied using a pre-experimental one group pretest-posttest design. The sample consisted of 30 tenth-grade TKJ students at SMK Farida Adz Dzikraa. The research instrument was a learning motivation questionnaire that had been tested for validity and reliability. The data analysis showed an increase in students’ learning motivation after the implementation of Google Sites. The use of this media effectively enhanced students’ attention, interest, and active participation in learning activities. The implication of this study highlights the importance of integrating digital media into the teaching and learning process to create engaging, adaptive, and learner-centered instruction suitable for today’s digital generation.

Abstract. The increasing demand for eco-friendly and recyclable materials has driven the development of natural fiber-based composite materials. This study aims to analyze the effect of volume fraction variation on the mechanical properties of hybrid composites made from coconut coir fiber and banana stem fiber with an epoxy matrix. The research employed an experimental method with variations of fiber volume fractions at 40%, 30%, and 20%, and mechanical testing including tensile, bending, and impact tests based on ASTM standards. The results showed that the highest tensile strength was achieved by the composite with a 60% matrix and 40% fiber volume fraction, reaching 21.16 MPa. Meanwhile, the highest bending strength and impact resistance were obtained by the composite with an 80% matrix and 20% fiber volume fraction, at 49.46 MPa and 0.00837 Joule/mm², respectively. Increasing the fiber content tends to enhance tensile strength but reduces bending strength and impact resistance due to uneven resin distribution and the formation of voids. This hybrid composite has potential as an environmentally friendly material alternative with competitive mechanical properties.

Abstract. This study aims to improve the reading literacy of grade X students of MA Sabilal Muhtadin in the Fiqh subject through the application of interactive learning media based on Canva and how to apply it. The method used is Classroom Action Research (CAR) with a two-cycle model that includes planning, implementation, observation, and reflection. The results of the study show that the use of Canva increases students' active participation and understanding of fiqh material, especially in the chapters of Milkiyah and Buying and Selling. Data were obtained through observation, questionnaires, interviews, and documentation. Important findings show an increase in the average reading literacy of students from the category of "less improved" in cycle I (79%) to "very improved" in cycle II (93%). The conclusion of this study is that Canva media can effectively be used as a creative solution to improve reading literacy, creating a more interesting learning atmosphere.

This research aims to explore the potential implementation of new and renewable energy (NRE) on the fleet of PT XYZ as part of the company's energy transition strategy towards Net Zero Emission (NZE) target by 2060. The maritime transportation sector is the main focus, given its high fossil fuel consumption and significant greenhouse gas emissions. This research uses a qualitative approach with a case study method, involving secondary data analysis, field observations on the installation and operation of solar power generation systems (PLTS) on Crew Boat vessels, and interviews with PT XYZ management, ship technicians, and relevant regulators. Problem identification is done through Pareto analysis and fishbone  diagrams to find the root causes of high fuel consumption. The research results show that dependence on fossil fuel-based auxiliary engines, lack of renewable energy alternatives, and low operational efficiency are the main factors. As a solution, PT XYZ develops an NRE system consisting of 4 units of 550 Wp solar panels (PV String), 2.16 kWp DC / 2 kW AC inverter, and 10 kWh lithium battery. The implementation of this innovation results in significant fuel savings of up to IDR 463.37 million per year and CO2 emission reduction of 43.64 tons per year, as well as increased operational efficiency of the vessel. This research provides strategic recommendations for PT XYZ in realizing the company's sustainability vision and makes an important contribution to global efforts to reduce the impact of climate change.

Earthquakes are natural disasters that can occur without warning. Earthquakes originate from vibrations in the earth's bowels that spread to the surface caused by cracks in the earth breaking and shifting violently. Anticipating the impact of an Earthquake can be done using an ESP8266 Microcontroller which is integrated with a Piezoelectric Sensor as the Main Sensor. The Piezoelectric Sensor output is sent and saved to a MySQL Database with test parameters in the form of object weight and distance. The output data results are processed in the form of Java Script Object Notation (JSON) and described by Android. The testing stage was carried out using stones weighing 1 kg, 3kg and 5kg and distances of 25cm, 50cm and 75cm. The results of the tool testing produced a vibration value with the lowest value being 24 and the highest value being 601. Earthquake detection is divided into three categories, namely weak, moderate and strong, based on sensor reading values. The weak category is set in the value range 24-106, moderate in the range 107-199, and strong for reading values above 200.

In this digital era, the application of technology is important for the education sector. Without the help of technology, school administrative activities such as student data collection and learning achievement reports must be done manually by educators, thereby reducing the efficiency of learning activities. Therefore it is necessary to have a computer that can assist educators in managing schools and student data collection. A computer is an automatic electronic device that can calculate or process data carefully according to instructions and provide processing results, usually consisting of an input unit, an output unit, a storage unit, and a control unit. In a school computer is useful for managing and managing school management.