Jurnal E-Komtek (Elektro-Komputer-Teknik)

The Linear Regression Analysis in Minitab and Fuzzy Logic in Matlab as Tools for Calculating Oyster Mushroom Yields at Thara Farm, Ciawi District, Bogor Regency.

2024-12-26T01:35:53+07:00

Indonesia is a tropical country rich in biodiversity, with a predominance of flora and fauna compared to other countries with similar climates, one example being mushrooms. Mushrooms are a type of fungi that thrive in temperatures ranging from 22-28°C, humidity levels of 70-90%, and lighting between 85-540 lux. In mushroom cultivation, farmers face various challenges, such as unstable yields at certain times. Therefore, this study aims to identify the primary factors affecting the stability of mushroom yields at PT Tharam. According to expert data, during the period from July to December, harvests can reach up to 600 kg per day, while in January to June, yields can drop to as low as 200 kg. Through correlation and regression analysis, it has been determined that the factors influencing the increase and decrease of mushroom yields at PT Tharam include irrigation intensity, nutrient application, temperature, humidity, rainfall, and pest attacks on mushrooms.
Keywords: Oyster Mushroom; Temperature; Lighting; Watering; Humidity

Evaluation of Two-Factor Authentication (2FA) TOTP in Higher Education Using Vulnerability Assessment and CIA Triad

2024-12-26T01:35:39+07:00

Vulnerability exploitation in education websites often leads to data breaches, negatively impacting learning activities, notably higher education, which is highly susceptible to such attacks. This research evaluates the effectiveness of two-factor authentication in mitigating exploitability. To analyze issues further, vulnerability assessment tools, such as Burp Suite and ZAP, can explore website vulnerability and the CIA Triad framework (Confidentiality, Integrity, Availability). The analysis revealed three medium-level vulnerabilities and six low-level vulnerabilities; key topics such as CSRF (Cross-Site Request Forgery) and XSS (Cross-Site Scripting), compromise integrity, and MITM (Man-In-The-Middle) attacks threaten Confidentiality, these vulnerabilities indicate non-compliance with CIA Triad, mitigation strategy such are VPN (Virtual Private Network), and WAF (Web Application Firewall) were proposed. While two-factor authentication improves security, additional fixes and optimizations are required for its effective implementation in the education sector.

Design of a WEB Based Petty Cash Accounting Information System Using MYSQL Data Base at Enno Tour & Travel

2024-12-26T01:35:24+07:00

Petty cash management is an important element in a company's finances, especially for Enno Tour & Travel which has high daily transactions. Inaccurate recording of petty cash can result in cash leakage and affect the company's financial health. This research formulates problems related to challenges in managing petty cash manually and how a web-based accounting information system can overcome these problems. The purpose of this research is to design and implement an accounting information system that can improve the efficiency and accuracy of petty cash recording. The research method used is software engineering with a waterfall approach, which includes requirements analysis, system design, implementation, and testing. Data was collected through interviews and direct observation at Enno Tour & Travel. The results showed that the developed system can record petty cash transactions in real time, produce accurate financial reports, and increase transparency and accountability. Users reported increased efficiency and reduced recording errors. This study concludes that the designed web-based accounting information system improves efficiency and accuracy in petty cash management and positively contributes to the company's overall financial management.

Prototype Design of Delta Wye Starting System for Laboratory-based 3-Phase Induction Motor

2024-12-26T01:35:10+07:00

Electric motors with electromagnetic devices that convert electrical energy into mechanical energy, so it can be that electric motors are included in the category of dynamic electric machines. The research aims to find out the design of the circuit form prototype from wye-delta, how to replace the system control circuit starting wye-delta, and obtain a significant result measuring the flowing current of the 3-phase induction motor when the motor starts the motor running. The method used in another study of literature is to design and test tools and data retrieval. The system test results are compelling, obtained, digging, initial current, electric motor with value, with the acquisition of measurement results when using the wye system on R, S, and T phase each 0,6 ampere, 0,8 ampere, and 0,6 ampere. When using the delta system on the R phase of 7,5 ampere, S phase of 8,5 ampere, and T phase of 8,3 ampere. Prototypes from these tools operate with a controller system, using a tool called a semiautomatic control system, with an electromagnetic working principle where the primary function of the contactor is a magnetic switch.

Implementation of Random Forest Algorithm for Classification of Eligibility For Social Assistance Recipients In Information Systems

2024-12-26T17:14:09+07:00

This study aims to develop a web-based information system for classifying the eligibility of social assistance (BANSOS) recipients using the Random Forest algorithm in the Bagan Batu Kota Subdistrict. The system is designed to assist local authorities in identifying BANSOS recipients more accurately and efficiently, minimize errors, and enhance distribution fairness. A quantitative research method was employed, with data collection techniques including observation, interviews, literature review, and document analysis. The dataset consists of 1,100 samples with features such as income, family size, and housing conditions. The Random Forest algorithm was implemented by building a classification model based on training and testing data. The evaluation showed a system accuracy rate of 97%, with a classification error of only 3%. The system provides features for recipient data management, field validation, and automated reporting, supporting more precise decision-making. The results of this study are expected to offer a solution for more effective and transparent social assistance distribution.

Website Penetration Testing With SQL Injection Technique Using SQLMAP on Termux

2024-12-28T01:40:39+07:00

Websites make it easier for us to find information or do our daily work. Almost all companies have websites, be it company profiles or application websites. With the development of technology, some programmers forget about website security. Websites with security weaknesses can be easily hacked, such as changing appearance to taking essential data. One thing to watch out for is external factors in the form of attacks carried out by hackers using the SQL Injection technique. This technique can find and take all databases stored on the website server. The purpose of this study is so that programmers and companies, in general, can be more careful with this attack so as not to experience losses from both the company and the consumer side. The results obtained in this study show that SQL injection attacks can cause significant losses because they can modify and take over the database on the attacked website. This tool also runs automatically so that laypeople without an understanding of hacking can carry out this attack. Thus, programmers can secure their websites using techniques to secure SQL Injection attacks.

Web-Based Grape Seed Information System Using the Agile Methodology for the Cikarang Grape Community

2024-12-28T01:40:25+07:00

This research applies the Agile methodology to develop a web-based grape seed information system for the Cikarang Grape Community. This method was chosen to enhance flexibility and responsiveness in development, with active involvement from community members at every stage. The process begins with a needs analysis through surveys and interviews, followed by an iterative user-focused solution design. Development is conducted in sprints, allowing features to be tested and evaluated regularly. The implementation results show that the system not only improves efficiency in managing and distributing grape seeds but also strengthens cooperation among community members. With transparent and real-time data access, the community is better equipped to make informed decisions regarding production and marketing. This research is expected to serve as a model for future similar information system development.

Towards Predictive Fatigue Management: A Blockchain-Enabled IoT Framework for Driver Safety in Logistics

2024-12-28T01:40:11+07:00

Driver fatigue is a critical issue in the logistics industry, contributing significantly to accidents and operational inefficiencies. The system utilizes IoT devices, including physiological and vehicular sensors, to monitor real-time data, such as Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Acceleration Variance (AV). Blockchain integration ensures secure, immutable data storage and transparency, with smart contracts automating fatigue alerts and management actions. The research results show that HRV increased from 50 ms to 70 ms, reflecting better stress recovery, while AV decreased from 0.85 m/s² to 0.45 m/s², indicating more stable driving behavior. Fatigue alerts dropped by 60%, from 25 to 10 alerts per observation period, demonstrating the system’s effectiveness in early fatigue detection and prevention. The study concludes that the IoT-blockchain integration provides a robust, scalable solution for mitigating fatigue-related risks, enhancing driver safety, and fostering operational efficiency in the logistics sector.

Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing

2024-12-28T14:58:38+07:00

This study aims to test the results of converting a gasoline-fueled motorcycle with an injection system into an electric motorcycle in terms of horsepower and torque. The data from the unit conversion testing in this study used an experimental method with data analysis that compares the results of dyno tests on a gasoline-fueled motorcycle unit using variations of fuel octane values, with dyno test data from the unit after being converted into an electric vehicle. The testing equipment and materials used in the study were: Sportdyno 4.0, a 110 CC Injection Matic Motorcycle unit, and Pertamax Fuel. The results of this study show that the highest power and torque on the gasoline-powered motorcycle were 6.2 Horsepower (HP) at 6500 to 6600 rpm, and the highest torque was 6.8 N.m at 6400 rpm for the unit before conversion. After the conversion, the highest power achieved was 5.4 HP at an average of 2250 to 2500 rpm, and the highest torque was 28.48 N.m at 1100 rpm for the converted vehicle unit.Thus, it can be concluded from the average data analysis of the power and torque tests that the result of the electric vehicle conversion is 5.4 HP and 28.48 N.m.

Decision Support System for Scholarship Recipients at Bhakti Setya Indonesia Health Polytechnic Foundation Using SAW and TOPSIS Methods

2024-12-28T01:39:43+07:00

The scholarship selection system at the Bhakti Setya Indonesia Health Polytechnic Foundation is still conducted manually, making it less transparent and time-consuming. This process requires an objective and measurable method to ensure fairness in determining scholarship recipients. This study aims to develop a decision support system for scholarship selection using the Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The SAW method calculates scores based on the aggregation of weighted normalized values, while the TOPSIS method evaluates candidates based on their proximity to ideal solutions. The criteria used in this study include parental income, number of dependents, GPA, organizational involvement, and achievements. The results indicate that the developed system is capable of ranking candidates with high accuracy. Candidates with the best performance consistently ranked at the top in the results of both methods.

Design Web-Based and Mobile Application Doctor Reservation Using Laravel Framework at Clinic Valio Centre

2024-12-29T01:41:02+07:00

Valio Medical Center Clinic, Central Lombok, faces a significant problem with the length of time patients wait to get a doctor's service, often exceeding the 60-minute standard set by the Ministry of Health. This research aims to solve the problem by developing a web-based and mobile Doctor Reservation Application using the Laravel framework. The method used is the creation of a doctor's registration system through web and mobile media with Laravel, which is built with the Model View Controller (MVC) concept. The results showed that the application developed using Laravel can run well and effectively reduce patient waiting time at Valio Medical Center. Design a doctor reservation system that facilitates users to make doctor reservations without having to come directly to the hospital, with an easy-to-use web-based and mobile interface, using the Laravel framework.

Soil Moisture Monitoring Using Nodemcu Based Soil Moisture Sensor With Blynk Application Output

2024-12-29T01:40:48+07:00

Currently, soil moisture monitoring is only done manually, which is less accurate, even though sometimes we need a soil moisture monitoring tool to determine the soil water content in plants. This research uses a Soil Moisture sensor to measure soil moisture and the NodeMCU ESP8266 microcontroller as the main controller. The system is designed to provide accurate and efficient soil moisture monitoring through the Internet of Things (IoT). The integration of Blynk as a monitoring application offers easy access to real-time soil moisture data via mobile devices. This system is designed to help users monitor soil moisture in real-time using NodeMCU as the main platform and Blynk for user interaction. Through this system, it is expected that users can avoid the risk of water shortages by knowing the soil water content in real-time. Based on testing, this soil moisture monitoring product has a success rate of 88.2% for soil moisture accuracy and an average user satisfaction rate of 60%.

Need Analysis of Gamification-Based E-Learning Development with ADDIE Method for Student Learning Using Moodle Platform

2024-12-29T01:40:34+07:00

A major challenge in e-learning is maintaining student motivation and engagement in the learning process. Gamification has been proven to be an effective approach in increasing student motivation by adding game elements into the learning experience. This research aims to analyze the needs of gamification-based e-learning development for student learning using ADDIE (Analysis, Design, Development, Implementation and Evaluation) method on Moodle platform. Moodle was chosen because it supports various gamification plugins, such as Level Up XP, Block Game, Ludic, Quizventure, Game and Badge Ladder. Through a comprehensive needs analysis, this research produces an appropriate design to improve learning engagement and effectiveness. The results of this research are expected to provide guidance for the development of gamification-based e-learning that is optimal for student learning.

Decision Support System Implementation of Decision Tree Algorithm C4.5 In Employee Performance Assessment

2024-12-29T01:40:20+07:00

Employee performance assessment can be used as an evaluation tool to improve employee performance to achieve more. Some of the benefits of performance appraisal are such as improving business quality, driving business progress, and improving employee welfare. Yasmin Medical Clinic requires an employee performance appraisal system that can help superiors to process data properly so that it can shorten the time and produce an assessment that is in accordance with the subjective value of decision making. One method that can be used in a decision support system is a decision tree. Current decision trees such as C4.5 and CART are widely used in various fields. The results of the analysis show that the application of the decision support system of the decision tree algorithm c4.5 in employee performance appraisal is able to solve problems at the Yasmin Medical Clinic. A computerized decision support system helps the decision-making process and produces objective decisions that are in accordance with actual conditions.

Geographic Information System in Web-Based Disease Spread Mapping in Public Hospitals

2024-12-29T01:40:07+07:00

The application of web-based Geographic Information Systems (GIS) in mapping the spread of diseases at Kotapinang General Hospital aims to improve the effectiveness of health data management and response to disease outbreaks. With a large population and significant health challenges, Indonesia needs a real-time system to monitor and analyze disease spread. This research develops a GIS system that utilizes Google Maps API to visualize epidemiological data, identify high-risk areas, and provide relevant information to health workers. The research methodology includes disease data analysis, database design, and system testing. The study results show that this system not only increases hospitals' capacity to manage health data, but also accelerates decision-making in disease control. Despite data quality and user skills challenges, this web-based GIS offers a significant solution for health management in South Labuhanbatu Regency. This study recommends further development to improve the features and accessibility of the system.

Advanced Credit Scoring with Naive Bayes Algorithm: Improving Accuracy and Reliability in Financial Risk Assessment

2024-12-29T01:39:52+07:00

This study develops a credit application recommendation system based on the Naive Bayes method to improve accuracy and reliability in financial risk assessment. Using the CRISP-DM framework, the research process starts with understanding the business needs to implement a web-based system. The Naive Bayes algorithm was chosen because of its ability to handle binary data classification and generate reliable predictions even with limited training data. This study combines feature selection and unbalanced data handling techniques to improve model performance. The evaluation results showed that the system achieved an accuracy of 70.50%, with a precision of 92.16%, a recall of 64.57%, and an F1-score of 75.83%. This system is implemented as a web-based application to help financial institutions make credit decisions quickly and accurately. These findings significantly contribute to developing a data-based classification system for the banking sector, especially in reducing the risk of bad loans and improving decision-making efficiency

Design and Implementation of Keyless Entry and Starter Rfid System on Daihatsu Xenia Type Xi Year 2010

2024-12-29T01:39:39+07:00

The design and implementation of keyless entry and starter rfid on Daihatsu Xenia Type Xi Year 2010 aims to: 1) Know the tools and materials used in the design and implementation of keyless entry and starter rfid on Daihatsu Xenia type Xi year 2010; 2) Understand the steps of the design and implementation of keyless entry and starter rfid on Daihatsu Xenia type Xi year 2010; 3) Be able to find out the results of testing the design and implementation of keyless entry and starter rfid on Daihatsu Xenia type Xi year 2010. The research method used is research and development. The steps of making the design include: The process of assembling an Arduino Uno-based rfid system, the process of inputting rfid tag data to the Arduino Uno, the process of assembling the keyless entry module cable to the car's electrical system, combining the keyless entry module with the Arduino Uno-based rfid system, placing the keyless entry module and the rfid system, finishing. Design and implementation of keyless entry and starter rfid on the 2010 Daihatsu Xenia Type Xi as a security feature on the 2010 Daihatsu Xenia Type Xi car. Based on the test results, it can be concluded that the design and implementation of keyless entry and starter rfid can work well, according to the following: increasing security, increasing comfort, increasing prestige, facilitating access, damage to the electrical system, not easily duplicated, still vulnerable to theft, easy battery drop, susceptible to electromagnetic signal interference.

Application of Deep Learning YOLO in IoT System for Personal Protective Equipment Detection

2025-01-21T01:48:53+07:00

The use of Personal Protective Equipment (PPE) is a critical step in ensuring worker safety in various sectors, including industry, construction, and health. However, violations in using PPE often occur, which can increase the risk of work accidents. This study aims to develop a deep learning-based PPE detection system using the YOLOv8 algorithm. This method was chosen because of its superior ability to detect objects in real time with high accuracy. The training data consists of various images of workers in different work environments, label to recognize types of PPE such as helmets, masks, and safety vests. The developed system was tested on a test dataset to evaluate model performance based on metrics such as confusion matrix, inference speed, and detection error rate. The experimental results show that the YOLOv8 model can detect PPE with an accuracy level of up to 95%. The implementation of this system is expected to be an effective solution in increasing compliance with the use of PPE and preventing work accidents.

Water Turbidity Detection Device Using Turbidity Sensor Based On Arduino Uno

2025-01-21T01:48:39+07:00

A water turbidity detector using an Arduino Uno based turbidity sensor is a solution to measure water turbidity. The turbidity sensor functions to measure the level of water turbidity by detecting dissolved solid particles in it. The use of Arduino Uno as the main microcontroller, turbidity sensor to measure the level of turbidity and the results can be displayed clearly on the LCD. The main advantage of this tool is its ability to provide information about water turbidity. The integrated LED and Buzzer also provide notification if the water turbidity level has been set. In addition, the simplicity of use and integration between the turbidity sensor, Arduino Uno, LED, LCD, and buzzer on one microcontroller board provides convenience for users. The outputs of this system are LCD, LED and buzzer, and the entire input-output system is integrated by one arduino uno microcontroller board. This system is designed to assist users in detecting turbidity using a turbidity sensor. Based on testing, the success rate of this system is 93.27%.

Arduino-based Automatic Light Design Using a Light-dependent Resistor Sensor at dr. H.A Rotinsulu Hospital

2024-12-29T08:32:41+07:00

Lights are one of the fundamental needs in the standard of living; if the light is cleared out, it'll squander power, and this often happens since you disregard to turn it off. in the list to fast improvement within the field of innovation the sum of power demand tends to extend quickly. This increment in demand can be caused by the expanding number of individuals utilizing electrical technology.In this case, a robotization light plan was made utilizing an Arduino-uno-based light sensor that can be set to turn on and off naturally, agreeing to the escalation of daylight so that it'll suit the desires of the lamp.The controller utilized is the Arduino microcontroller. The program connected to the microcontroller serves to initialize and design the equipment and examines the flag input from the light sensor, which at that point forms it is by being given a few conditions to create yield. In this case, a robotization light plan was made utilizing an Arduino-uno-based light-based Sensor that can be turned on and off, consequently concurring with the concentrated daylight received to suit the desires of the light.

Phishing Website Detection Using the Decision Tree Algorithm Method

2025-01-02T01:43:22+07:00

Along with the increasing number of internet users and the rapid development of technology, cyber security threats are becoming more complex, including phishing threats that often cause major losses such as loss of individual or corporate privacy. This study aims to identify phishing websites effectively through the application of machine learning algorithms. The dataset used in this study comes from the UCI learning repository developed by the University of Huddersfield. The research methodology includes the stages of problem identification, Cart algorithm collection, validation, and model evaluation. With this method, the study found that the CART algorithm was able to achieve an accuracy level of 90.5% in detecting phishing sites. These results show cyber security, especially in protecting users from phishing threats, this study is expected to contribute to improving data protection and privacy of internet users, as well as encouraging the application of machine learning technology in a more adaptive cyber security system.

The Welding Defect Analysis on ASTM A106 Grade B with Inconel 82 Using Metallography Test and Microhardness Test

2025-01-02T01:43:08+07:00

Welding inspection is an important practice to assess the integration of structures and their components in many industrial applications. The quality of industrial pipes must be able to withstand high pressures and temperatures, such as in the riser tube primary reformer. In this study, inspection of welding results on ASTM A106 grade B pipes with Inconel 82 using metallography and microhardness was carried out. Based on the results of visual tests and penetrant tests, cracks were found in the meeting area between the Inconel 82 weld and ASTM A106 grade B. The results of the metallography test in the meeting area between Inconel 82 and ASTM A106 grade B showed continuous microcracks and continuous macrocracks. The results of microhardness testing in the area around the crack had a lower hardness value than the area far from the crack. The welding connection of ASTM A106 grade B with Inconel 82 could not be used optimally at a temperature of 748^oC because Inconel 82 has a silicon element of 0.5% which causes a difference in solidification between ASTM A106 grade B and Inconel 82

The Effect Of Gasket Thickness Variations (Packing Block) On Power, Torque & Engine Rotation Of Yamaha F1ZR

2025-01-21T01:47:55+07:00

This study analyzes the effect of gasket thickness on motorcycle engine performance, focusing on its role in maintaining pressure and temperature within the engine, which directly influences efficiency and power output. Employing a descriptive quantitative and qualitative approach, including in-depth interviews with mechanics, racers, and engine experts, the research explores the impact of gasket thickness on engine power, fuel efficiency, and durability under various conditions. Thematic analysis of the data reveals that thinner gaskets enhance power but compromise long-term durability, offering valuable insights for practitioners and manufacturers in optimizing gasket thickness for high-performance applications.

Company Profile Development for CV. GP Mandiri Using the Waterfall Method

2025-01-04T01:43:32+07:00

A company profile website serves as an effective medium for information and promotion. This study aims to develop a company profile website for CV GP Mandiri using the Waterfall software development method. This method was chosen for its systematic and structured approach, facilitating each stage of development. The website is built using WordPress with the Elementor plugin, allowing for a responsive and user-friendly design. The development process includes stages of requirement analysis, design, implementation, and testing. After implementation, black box testing was conducted to ensure all website functions operate correctly. The testing results indicate that all implemented features, such as the homepage, about the company, services, and contact pages, function as expected. This website not only enhances CV GP Mandiri's visibility in the online world but also provides easy access to information for potential clients. This research is expected to serve as a reference for other companies seeking to develop a website as part of their marketing and communication strategies.

Evaluation of the Curriculum for the Untirta Electrical Engineering Vocational Education Study Program Referring to the Needs of the World of Work and the Industrial World

2025-01-04T01:43:17+07:00

This research aims to review and improve the curriculum of the Electrical Engineering Education Department at Sultan Ageng Tirtayasa University in accordance with developments in science and technology and the needs of stakeholders. Curriculum review and development is carried out by referring to graduate competencies in accordance with the Indonesian National Qualifications Framework (KKNI) in the field of Electrical Engineering and Electrical Engineering Education. This research is an evaluation research on curriculum implementation using the TIPP (Context, Input, Process, Product) model, and curriculum development through content analysis and discussion. The research results show that in general the implementation of the 2019 curriculum for the Vocational Education Department in Electrical Engineering is classified as appropriate (good) according to lecturer/alumni respondents, and quite appropriate (fairly good) according to student respondents. There are quite a lot of deficiencies, both in the content of the curriculum and the implementation of the curriculum, especially in the Input, Process and Product aspects. Based on the study of the evaluation results of the implementation of the curriculum and KKNI as well as the vision & mission and objectives of the Vocational Education Department of Electrical Engineering FKIP Untirta, a competency design can be formulated which should be mastered by undergraduate graduates majoring in Electrical Engineering Education as well as the draft curriculum framework. This design needs to be studied further and validated adequately so that a curriculum device can be produced that has relevance, quality and adequate benefits for students/graduates, society and the world of work.

Optimization of Convolutional Neural Network (CNN) Using Transfer Learning for Disease Identification in Rice Leaf Images

2025-01-19T01:49:11+07:00

Rice productivity, as one of the key commodities in Southeast Asia, is often hindered by various plant diseases such as Rice Blast, Bacterial Leaf Blight, and Brown Spot, which can cause significant economic losses for farmers. This study aims to develop an automated rice leaf disease detection system using deep learning, specifically leveraging the Convolutional Neural Networks (CNN) architecture with a transfer learning approach. The dataset used comprises 10,407 images of rice leaves categorized into 10 classes, including various diseases and healthy leaves. The dataset is divided into three parts: 80% (8,323 images) for training, 15% (1,557 images) for validation, and 5% (527 images) for testing. The trained EfficientNetB0 model was utilized for feature extraction and classification. The evaluation used accuracy, precision, recall, and F1-score metrics based on a confusion matrix. The results revealed that the model achieved a global accuracy of 98.86%, a micro precision of 100%, a micro recall of 99.42%, and a micro F1-score of 99.70%. These findings underscore the effectiveness of the proposed approach in automating rice leaf disease detection, providing a significant contribution to technology-based agricultural solutions.

Design and Build E-Stm Using Real-time Push Notification in Sumber Padi Village

2025-01-21T01:49:21+07:00

Relief societies (STM) are important in helping people in need through various social programs and activities.This study addresses the issue of STM member logging and financial data management, then addressing misinformation reported by managers or citizens and making it easier for citizens to pay STM dues. This study uses Firebase Realtime database for data storage and Firebase Storage to store photo media; Research and development methods (R&D used as a method in this study, and uses the Rapid Application Development (RAD) method as its system development method. The author also uses Realtime push Notification by using firebase cloud messaging to build STM applications. The results of the black box system test show that the application runs by the needs of the system, the research carried out has high relevance to facilitate the management of member data, contributions and activity information on STM.

Design and Build Uno Android-Based Heart Rate Detector to Support First Aid Performance at PMI Kebumen Regency

2025-01-21T01:49:07+07:00

Abstract :

PMI is a humanitarian organization with legal entity status, governed by Law number 1 of 2018 concerning Red Cross activities, aimed at preventing, avoiding, and alleviating the suffering of war prisoners and disaster victims without discrimination of religion, nationality, race, skin color, group, gender, and political views. PMI also has the duty to transform its members into volunteers. This includes Disaster Preparedness and Response Volunteers, First Aid Training for Volunteers, Health Services, Community Welfare Services, and others. In community services, especially first aid services, PMI still requires more first aid equipment to support the performance of volunteers and their services. One such tool is used for emergencies, such as handling sudden cardiac arrest victims. This study developed a prototype heart rate detection device. This heart rate detection prototype is based on ATmega328. The sensor used is a Heartrate Sensor that functions to measure and detect heartbeats. Additionally, an ATmega328 Arduino Pro Mini microcontroller is used to process the incoming signals and display the heart rate per minute on an OLED screen. Based on tests conducted on 10 respondents, this heart rate detection prototype has an average relative error of 0.32% compared to the Elitech Mobile Fox 1 Pulse Oximeter.

Keywords : ATmega328, Heart Rate, Heartrate Sensor.

Case Based Reasoning System for Tourette Syndrome Disease Detection

2024-12-29T21:14:59+07:00

Tourette Syndrome (TS) is a neurological disorder affecting children under 18, with an estimated prevalence of over 150,000 cases annually in Indonesia and 1% globally. Misdiagnosis rates of 20-30% complicate effective management. TS involves involuntary, repetitive tics, ranging from sudden movements or sounds to aggressive behaviors, posing significant challenges for diagnosis and treatment. This study utilizes an expert system with a case-based reasoning (CBR) approach to improve TS diagnosis. Interviews with TS patients and specialists provided data on symptoms and diagnostic structures. A weighting mechanism and an accumulation formula were implemented to deliver accurate diagnostic outcomes and first aid suggestions, optimized for minimal computing resources without reliance on extensive datasets. Testing on 10 patients, under expert supervision, demonstrated the system's ability to accurately diagnose and classify TS. The system effectively simulates expert-level TS detection, offering precise diagnosis and recommendations, potentially enhancing early intervention and reducing diagnostic errors.

Analysis of Water Quality Parameters on the Survival Rate of Vannamei Shrimp using the Random Forest Method

2025-01-21T01:48:24+07:00

This study developed a predictive model based on Random Forest algorithm to predict survival rate of Vannamei shrimp using five water quality parameters: dissolved oxygen (DO), temperature, pH, salinity, and Total Dissolved Solids (TDS). The model was trained on this data and evaluated using Mean Squared Error (MSE) and R² Score, with an MSE of 0.71 and R² Score of 1.00. Endpoint testing was conducted using Postman to verify the model response, with output parameters including anomaly_detected, recommendation, and survival rate. The model successfully detected anomalous conditions and provided recommendations according to the detected water quality parameters. Test results showed that DO and salinity had the greatest influence on survival rate, while pH, TDS, and temperature made moderate contributions.

Clustering Analysis Approach to Enhance Inventory Management and Product Recommendations in the Ornamental Plant Industry

2025-01-21T01:48:10+07:00

The ornamental plant industry has grown significantly as consumers seek to enhance living spaces with diverse plant species. This study aims to optimize inventory management and marketing strategies by applying K-Means clustering to categorize plants based on price, pot size, light requirements, care levels, and popularity. The method used is K-Means clustering, which groups plants into three clusters based on key characteristics. By analyzing these attributes, K-Means clustering identifies patterns and similarities among different plant species, allowing businesses to understand consumer preferences and inventory management better. The results identified three main clusters: Cluster 1 (moderate care, light, popularity) plants like Aglaonema require balanced stock and targeted promotion for medium-light environments. Cluster 2 (low care, light, popularity) plants such as Aglaonema Chiangmai need high stock levels and budget-friendly marketing. Cluster 3 (high care, light, popularity) plants like Alocasia demand elevated stock, premium quality, and care-focused promotion.

Wind Speed Forecast Using the Triple Exponential Smoothing Method in Pangandaran Beach

2025-01-21T01:47:41+07:00

Indonesia as a maritime country with a long coastline, holds significant potential in the marine and tourism sectors. However, these sectors are often disrupted by adverse weather conditions, particularly irregular wind speeds. Accurate wind speed forecasting is therefore essential for disaster mitigation. This study aims to forecast wind speed at Pantai Pangandaran using the Triple Exponential Smoothing (TES) method, which is more effective in handling data fluctuations with trend and seasonal patterns. The data used includes daily data from January 2014 to September 2024. The results show that the TES method provides highly accurate forecasts, with a low error rate evaluated through an RMSE of 0.51 and a MAPE of 17.85% for wind speed. These forecasts are expected to support disaster mitigation, enhance safety, and improve the efficiency of activities in coastal areas, particularly at Pantai Pangandaran, in facing adverse weather conditions.