bluuebunny/crossref_metadata_2025 huggingface dataset:
TCP Throughput Drop Prediction Model in IEEE802.11n WLAN for Indoor-to-Outdoor Scenario
Authors: - Omar Abdul Aziz , - Tee Chee Xin
Published: January 2025

The IEEE 802.11n is one of the most common WLAN Wi-Fi, operating at either 2.4GHz and 5GHz bands. Wi-Fi Access Point (AP) could be specifically made for indoor or outdoor signal wireless coverages. Indoor setting consists of many partitioned spaces while outdoor environment is characterized with the presence of trees, other foliage, building exterior and other structures. Indoor-to-outdoor wireless signal coverage is common whereby indoor AP is required to also provide coverage in adjacent outdoor setting. The purpose of this project is to characterize and model RSSI and TCP throughput changes in the abovementioned setting for AP with and without corner reflector. The setting emulates a case of obstruction presence in between AP and user equipment (UE) and subsequent correlation of RSSI and TCP throughput changes for investigated scenario was modelled. The design and placement of 90° corner reflector to indoor AP, the measurements of RSSI and TCP throughput for outdoor environment of Wireless Communication Centre Universiti Teknologi Malaysia (WCC UTM) and other findings are reported in this paper.
Mothers' Reactions to Children's Negative Emotions: Impact of Children's Gender
Authors: - Maya Menon
Published: January 2025

Parental emotion socialization is critical in shaping children’s emotional regulation and social competence. This study examines gender differences in mothers' reactions to their children's negative emotions within the cultural context of Kerala, India, where limited research has explored this phenomenon. The study utilized the Coping with Children's Negative Emotions Scale (CCNES) to assess six types of maternal reactions among 200 mothers (100 each with boys and girls aged 6-8 years). Independent samples t-tests revealed significant gender differences in punitive, distress, and minimization reactions, with boys receiving more punitive and minimizing responses compared to girls. Mothers also exhibited greater expressive encouragement towards boys. However, no gender differences were observed in problem-focused or emotion-focused reactions, suggesting consistency in these strategies across genders. These findings underscore the influence of cultural and societal expectations on maternal emotional socialization practices, potentially reinforcing traditional gender roles. The study highlights the need for gender-sensitive parenting interventions to promote supportive and equitable responses to children's emotions. Implications for parenting education, culturally sensitive interventions, and future research are discussed, emphasizing the importance of addressing gender biases to foster healthy emotional development in children.
Durability Capacity of Women Cultivators Under Pressure of Forest and Land Fire Control Regulation in Central Kalimantan, Indonesia
Authors: - Evi Nurleni , - Heru Nugroho , - Arie Sudjito
Published: January 2025

This study aims to explore the conditions of pressure and durability capacity of women cultivators facing the pressures of regulation on forest and land fire control in Indonesia. The results of this study highlight that the scientific knowledge and patriarchal capitalism perspective contribute to product regulation in Indonesia, and then creating women cultivators as a non-class subjects. Thus, the woman cultivators are victims of that regulation. Women cultivators have various complex strategies and adaptations in dealing with multiple pressures under regulations on one site, corporations and food estate programs on other sites. The act of burning fields is not intended to fight the rules, but an act with no alternatives for survival from the lowest view. The act of burning is an act of utilizing the capacity to produce and reproduce the capacity of remaining food sources and the capacity for subsistence independence. Understanding the act of burning fields by Oloh Ngaju women cultivators is an effort to understand the farming activities as rationalized by individual actions within the limits of their interests and limit power (setting the limits to domination). So it is very possible to propose the concept of subsistence feminism to see the type of the grassroots women's movement.
Implementation Of Good Corporate Governance (GCG) In Palm Oil Plantation Companies In Indonesia (Literature Review)
Authors: Akbar Ayip Ridwan , Sendjaja Theodorus , Yanuar Arifin Asep , Kusuma Athalia
Published: January 2025

Palm oil plantations are one of the important sectors in the Indonesian economy that remained strong during the global financial crisis and contributed greatly to the country's foreign exchange. The world's largest exporters of palm oil are Indonesia and Malaysia with the largest contributions of 26.60 million tons and 15.40 million tons respectively in 2022. Companies are trying to improve the implementation of Good Corporate Governance (GCG) to comply with regulations and improve the quality of management in a sustainable manner. The purpose of this study is to review the literature on the implementation of GCG in palm oil plantation companies, its impact on company performance, and obstacles in its implementation, using a qualitative literature study method. The results of the study indicate that the implementation of GCG in companies such as PT Bumitama Gunajaya Agro, PT. PP. London Sumatera Indonesia Tbk, and PT Agro Sinergi Nusantara has succeeded in meeting the principles of GCG and increasing Return on Assets (ROA). However, there are obstacles such as lack of management commitment, limited resources, unsupportive corporate culture, and external pressures and conflicts of interest. By overcoming these obstacles, it is hoped that companies in the palm oil plantation sub-sector can be more effective in implementing GCG, thereby improving their financial performance and business sustainability.
Effect of Online Frontliner Interpersonal Communication on Consumer Purchase Decisions of Cv Borneo Store Banjarmasin
Authors: Putri Pahira Recka , Lieta Dwi Novianti  , Dewi Merdayanty
Published: January 2025

The existence of frontliners has a very viral role in providing services to consumers, because they are the first people faced by consumers when interacting with companies. As a company representative, frontliners function to create a positive first impression through the attitude and service provided. The quality of service shown by the frontliner will greatly affect consumers' perception of the company, which can ultimately affect their purchasing decisions. Therefore, good interpersonal communication from the frontliner is key in creating a satisfying customer experience. This study aims to determine the influence of online frontliner interpersonal communication on purchase decisions in CVs. Borneo Store Banjarmasin. The research method used is a quantitative approach with data collection through questionnaires distributed to consumers who shop at CV. Borneo Store. The research sample is 73 people who are randomly selected using the *simple random sampling* technique. The collected data was then analyzed using a simple linear regression with reference to the AIDDA (Attention, Interest, Desire, Decision, Action) theory, which describes the stages in the consumer decision-making process. The results of the study show that good interpersonal communication from online frontliners has a significant effect on consumer purchase decisions. A simple linear regression test showed that the determination coefficient was 40.1% with a significance level of 0.001 (<0.05), which means that online frontliner interpersonal communication had a considerable influence on the purchase decision. These findings show that effective communication between frontliners and consumers, both in-person and online, is important for building relationships, creating trust, and driving purchasing decisions. Companies need to pay attention to the quality of frontliner communication, especially in the digital era, to increase customer satisfaction and loyalty.
 Keywords: Online Frontliner, Consumer, Purchase Decision, AIDDA Theory, Simple Linear Regression, Interpersonal Communication
Impact Of Green Finance On Market Value And Reputation Of Financial Service Companies
Authors: Endah Dewi Purnamasari  , Shafiera Lazuarni  , Nova Yanti Maleha
Published: January 2025

This study aims to analyze the impact of green finance implementation, including green bonds and green loans, on the market value and reputation of financial service companies in Indonesia. The research employs a quantitative approach with an explanatory research design. Secondary data, including financial reports, sustainability reports, and ESG scores, were obtained from financial service companies listed on the Indonesia Stock Exchange (IDX) during the 2015–2025 period. The sample consists of 70 companies selected using purposive sampling. The regression analysis results indicate that green bonds and green loans have a positive and significant impact on both market value and company reputation. Green loans show a greater effect compared to green bonds on both dependent variables, reflecting their flexibility and more direct influence on corporate sustainability. The model demonstrates that green finance accounts for 65% of the variation in market value and 70% of the variation in company reputation.This study confirms that green finance not only supports global sustainability goals but also offers significant benefits to financial service companies by enhancing their competitiveness and market image. Policy implications and strategies to promote the adoption of green finance in Indonesia are also discussed.
 Keywords: Green Finance,Market Value, Reputation
RESEARCH ON LASER HARDENING OF AUTOMOTIVE PARTS IN THE AGRICULTURAL INDUSTRY
Authors: KOVALCHUK Yuriy , VOITIK Andriy , KOVALCHUK Andriy
Published: January 2025

During laser hardening of various automobile parts, an important factor influencing their service life is the depth of hardening and microhardness, which depend on the parameters of surface laser treatment. Successful selection of the parameters of the laser hardening process, the use of laser alloying can provide a significant increase in the operational characteristics of the processed automotive parts in the agricultural and industrial complex. The aim of the work was to determine the dependence of the depth and microhardness of the surface zones of the studied samples of iron-carbon alloys on such laser treatment parameters as laser radiation power, processing speed and the use of their laser alloying using strengthening impurities of boron carbide and tungsten carbide in an absorbing coating.
As a result of the research, it was found that with an increase in laser treatment power, the microhardness in the hardening zone increases slightly. Only at P = 1.5 kW and v = 25 mm/s does surface melting occur, and hardening without melting is observed to a depth of up to 0.5 mm. The microhardness of martensite in the lower layers of the HAZ of steel 35 increases continuously with increasing processing speed. In the upper layers of the HAZ, up to a processing speed of more than 40 mm/s, the microhardness also increases to 6900 MPa, and with a further increase in speed, it decreases.
The results of the study of the influence of strengthening impurities of boron carbide and tungsten carbide in the absorbing coating (yellow gouache) showed that the highest microhardness of the surface zones of the processed samples can be achieved by using a tungsten carbide impurity at a processing speed of V=1 mm/s.
It was established that the iron-carbon alloys used by domestic manufacturers of motor vehicles can be effectively subjected to laser processing, which will allow to provide a significant increase in the operational characteristics of the corresponding parts.
ANALYSIS OF DESIGN AND TECHNOLOGICAL ASPECTS OF FUNCTIONING OF CHICORY ROOT DIGGERS
Authors: TRUKHANSKA Olena , HADAICHUK Maksym
Published: January 2025

An analysis of the design features and technological processes of the functioning of working bodies intended for digging chicory root crops is given. Based on the identification of structural models of digging working bodies, a classification of root crop diggers was developed according to the accepted systematization criteria. Among many types of industrial crops, including root crops, only root chicory ensures the production of strategic raw materials from which, in the process of its processing, the raw product of processing inulin is obtained, from which an important medicinal product - insulin is subsequently produced.
The existing technical means of harvesting chicory roots do not provide the necessary indicators of the quality of digging root crops according to the agrotechnical requirements for root harvesting machines. At the same time, the average rate of loss of root crops is 3.5...7.5%, depending on the harvesting conditions, and damage to chicory roots exceeds 2.5...3.5 times the value of the index of agrotechnical requirements. The characteristic structural and technological shortcomings of the main existing types of excavating working bodies are analyzed. The main trends in the development of disc diggers and directions for improvement of combined digging systems of chicory root crops using a spherical disc are substantiated.
The reduction of losses of root crops and their damage is ensured by the use of a combined single-disk spherical digger, which combines a spherical disk and a loosener placed behind it and in the area of its action, installed on the riser of the disk. The obtained research results are a partial addition to the existing method of further calculation and substantiation of the rational parameters of the spherical disc and the technological parameters of the working processes of root harvesting machines.
STUDY OF STAMPING AND ROLLING PROCESSES IN THE FORMATION OF PIPELINE FLANGES
Authors: SHTUTS Andrii , BABYN Ihor , LUTS Pavlo
Published: January 2025

An innovative technological process for manufacturing pipeline flanges using the cold end-rolling method is proposed, which opens new opportunities for improving production efficiency and reducing manufacturing costs. This method significantly reduces metal consumption through the optimal use of the blank, as well as greatly diminishes the labor intensity of the technological process. Consequently, it offers significant economic advantages compared to traditional methods, which often lead to higher material waste and greater resource consumption.
The research has established that the molding process using end-rolling creates a favorable stress-deformed state in most of the deforming areas of the blank, especially in the regions beyond the central zone. This beneficial state promotes uniform load distribution, reduces residual stresses, and improves the strength characteristics of the final product. By creating a more balanced stress profile, the end-rolling process enhances the overall mechanical properties of the flange, leading to greater durability and reliability in the final product.
The cold end-rolling technology is based on sequential plastic deformation of the material by applying radial force to the blank. This ensures not only high geometric accuracy but also improved operational characteristics of the flanges. The uniform distribution of deformations reduces the risk of defects such as cracks, thinning, or warping, significantly extending the service life of the products. Furthermore, the method can achieve consistent results across a wide range of flange sizes and configurations.
Moreover, the developed process is versatile and can be adapted for manufacturing flanges of various sizes, materials, and designs, providing flexibility for different industrial applications. The technique also contributes to reducing material waste and lowering energy consumption, making it more environmentally sustainable than conventional methods. The minimized need for additional processing steps and reduced energy requirements further enhance the cost-effectiveness of this technology.
The implementation of the proposed method in pipeline industry enterprises opens prospects for increasing productivity, reducing production costs, and improving the quality of finished products. This approach represents a significant step forward in the development of modern pressure metalworking technologies, offering a more efficient and environmentally friendly solution for producing high-quality pipeline flanges.
CAMBODIAN TEACHERS' READINESS FOR ONLINE TEACHING: PERCEPTIONS AND CHALLENGES
Authors: Be Borey
Published: January 2025

This study gauges the readiness of Cambodian teachers for Online Teaching and Learning (OTL) in higher education institutions (HEIs). A quantitative design was utilized, including 140 teachers who participated in an online survey consisting of 29 question items. The research found that teachers certainly assessed their OTL competencies favorably, with mean scores between 3.63 and 3.73 across diverse skills. The research found that teaching experience has a positive effect on readiness for online teaching and learning, especially concerning pedagogical strategies and self-efficacy in digital settings. Nonetheless, the association was less significant for technological knowledge. TPACK and perceived institutional support emerged as significant predictors of teachers' readiness. This research enhances comprehension of the complexity surrounding teacher readiness for OTL in Cambodia. The recommendation is to address shortcomings in technological expertise and to improve institutional support by implementing comprehensive professional development that is tailored to the needs of teachers.
Integration of Qur'anic and Hadith Values in Evolution Learning: Innovation of Biology Modules Based on Faith Education
Authors: Syam M Ikhsan , Falemu Funke Aina , Hussain Mufida Bello
Published: January 2025

Purpose of the study: The purpose of this study is to develop a biological evolution module based on Qur'anic and Hadith values ​​to improve academic understanding, religious character, and learning guidance according to the principles of Muslim students' faith.
Methodology: This study uses the Development research method with ADDIE research design. The research subjects consisted of 60 students of the Biology Education Department of UIN Alauddin Makassar, who were divided into two groups: experimental and control. Data collection techniques include interviews, questionnaires, and documentation studies. Data were analyzed descriptively using SPSS for quantitative and thematic analysis techniques were used for qualitative data analysis.
Main Findings: The results of the study showed that the biology module integrating Qur'anic and hadith values ​​successfully improved students' academic understanding and religious character. The experimental group showed better results in understanding the theory of evolution and strengthening religious character compared to the control group. This module proved to be more effective in helping students understand the material of evolution and strengthening students' religious beliefs.
Novelty/Originality of this study: This study offers a new approach in biology learning by integrating the values ​​of the Qur'an and hadith in the material of the theory of evolution. This not only deepens students' scientific understanding, but also strengthens their religious character. This study fills the gap in the literature that connects science and religion, and creates a holistic learning model in Islamic universities.
Enhancing Animal Physiology Practicum: Exploring Students' Perceptions and Influencing Factors
Authors: Arsyam Sri Pratiwi Yanti , Kariuki Martin N , Odango Janreve Martirez
Published: January 2025

Purpose of the study: The purpose of this study was to determine the perception of Biology Education students towards the implementation of Animal Physiology practicum in the Biology Education Laboratory and to determine the factors that influence student perceptions towards the implementation of the practicum. This study aims to provide insight into improving the quality of practicum learning in higher education.
Methodology: This type of research is descriptive with qualitative and quantitative approaches. The subjects of the study were fourth semester Biology Education students of UIN Alauddin Makassar. Data collection techniques used a Likert scale questionnaire 1–5 and documentation. Data analysis techniques include descriptive qualitative analysis for narrative data and quantitative analysis for questionnaire data in a descriptive-qualitative manner.
Main Findings: The main findings of this study show that students perceive teaching assistants as supportive in guiding practicum groups, though there are issues with punctuality. Facilities and infrastructure, including laboratory cleanliness and equipment, are generally adequate but require improvement. Students report better understanding of animal physiology post-practicum, and active participation during the exercises. However, some students were not diligent with preliminary tasks, and there were discrepancies in the provision of assignments and material explanations.
Novelty/Originality of this study: This study offers a unique perspective by integrating the roles of teaching assistants and laboratory assistants in shaping student perceptions of animal physiology practicums. It highlights the importance of punctuality, material explanations, and active involvement, providing practical insights for improving laboratory-based learning.
Biology Learning Innovation Using Booklet Media
Authors: Abrianto Andi Muhammad , Amaefuna Ijeoma , Onyemowo Agbo Felicia
Published: January 2025

Purpose of the study: This study aims to develop booklet-based learning media for the 11th grade Biology subject, as well as to measure the level of validity and effectiveness of the media in improving the learning of Biology for 11th grade students.
Methodology: This study uses a development research method with a 4-D approach (define, design, development, disseminate). The subjects of the study were students of class 11 MIA I at Islamic high school Madani Pao-Pao (24 students) and State Islamic High School 1 Makassar (35 students). Data collection techniques were through observation, interviews, and documents. Data were analyzed qualitatively with descriptive presentation.
Main Findings: The results of the study showed that the developed booklet-based learning media received validation with an average of 3.5, which means it is very valid. Field trials at Islamic high school Madani Pao-Pao and State Islamic High School 1 Makassar showed that this media was effective, with an average implementation value of 3.6 and 3.1, which were included in the good and very good categories. Positive responses from teachers and students stated that booklets helped increase learning motivation and facilitated understanding of the material.
Novelty/Originality of this study: The novelty of this research lies in the development of booklet-based learning media that integrates material summaries with relevant images and quizzes to train students' critical thinking skills. This media is also designed to increase learning motivation through an attractive and practical display, and is adjusted to the curriculum and needs of Islamic high school students.
The Relationship Between Assertive Behavior and Academic Achievement of Biology Education Students: The Contribution of Assertive Behavior in Improving Academic Outcomes
Authors: Yulianti Sri , Awingan Joan S
Published: January 2025

Purpose of the study: The purpose of this study was to determine the level of assertive behavior of students in the Biology Education Department of UIN Alauddin Makassar, to describe students' learning achievements, and to analyze the relationship between assertive behavior and students' learning achievements in the department.
Methodology: This study uses a quantitative approach with a correlational design. The tool used is a questionnaire to measure assertive behavior, with 42 statements covering three aspects. The data were analyzed using SPSS software with descriptive and inferential analysis techniques. The survey was conducted at Campuses I and II UIN Alauddin Makassar, involving 82 students of the Biology Education Department, batch 2022 and 2023 as samples.
Main Findings: The average assertive behavior of Biology Education students is 115 with a standard deviation of 12.25, indicating heterogeneous data and a moderate tendency for assertive behavior. The average student learning achievement is 3.52 with a standard deviation of 0.16, indicating homogeneous data and very satisfactory learning achievement. There is a significant relationship between assertive behavior and learning achievement with a contribution of assertive behavior of 11%.
Novelty/Originality of this study: This study revealed a significant relationship between assertive behavior and academic achievement of Biology Education students, with assertive behavior contributing 11%. This finding provides new insights into the role of assertive behavior in influencing academic outcomes, as well as increasing understanding of factors that can improve student achievement in higher education settings.
Students' Critical Thinking on Thermodynamics: Gender and Conceptual
Authors: Beta Kurnia Illahi  , Suwarma Irma Rahma
Published: January 2025

Purpose of the study: This study aims to analyze senior high school students' critical thinking skills in thermodynamics and explore gender-based differences in these skills.
Methodology: A quantitative approach was employed with purposive sampling involving 132 students (34.1% male, 65.9% female) who had studied thermodynamics with the same teacher. Data were gathered using five essay questions designed to assess critical thinking components, including analysis, evaluation, inference, deduction, and induction. The collected data were analyzed to determine the level of critical thinking skills and potential differences between genders.
Main Findings: The results showed that students’ critical thinking skills were generally low across all components: analysis (36.2%), evaluation (30.0%), inference (19.8%), deduction (28.3%), and induction (32.0%). While differences in critical thinking skills between male and female students were observed, they were not statistically significant.
Novelty/Originality of this study: This study provides a detailed analysis of students' critical thinking skills in thermodynamics, highlighting specific weaknesses in key components. It offers a new perspective by examining gender-based differences in critical thinking, which are rarely explored in the context of physics education. The findings serve as a foundation for designing targeted educational strategies to address these deficiencies and improve critical thinking skills in science learning.
Enhancing Classroom Engagement: Investigating Student Motivation towards Learning Physics
Authors: Zeidan Mohammad , Young David
Published: January 2025

Purpose of the study: The aim of this study is to identify effective intervention activities in the physics classroom that enhance student engagement and sustain attention toward learning physics by evaluating the impact of diverse strategies on student motivation.
Methodology: The study used Vevox (an engagement platform), group work, physics simulations, and educational videos. Data were collected through pre- and post-intervention surveys, student rankings, and performance evaluations, and analyzed using statistical software for quantitative insights.
Main Findings: Group work and physics simulations were found to be the most effective strategies for boosting student engagement and motivation. Students reported increased interest, enjoyment, and improved focus during physics lessons as a result of the interventions.
Novelty/Originality of this study: This study offers a novel approach by integrating diverse, data-driven intervention strategies to improve student motivation in physics classrooms, providing actionable insights for educators to create more engaging and effective learning environments.
A High-Power Hybrid-Strip Monopulse Antenna Array for Secondary Surveillance Radars
Authors: Alieldin Ahmed , Eid Alla M. , Salama Amgad A.
Published: January 2025

This paper proposes a novel design of a high-power monopulse antenna array for secondary surveillance radars utilized in air traffic control systems. A novel technique of hybrid-strip technology is applied to the antenna array (composed of stripline for the feeding network and microstrip for the antenna elements) to minimize the effect of the transition between the feeding network and antenna elements. The antenna array consists of two identical mirrored halves. Each half is 2 rows × 6 columns. The antenna elements are rectangular microstrip patches with shorting vias while the feeding network is composed of a combination of synthesized stripline dividers/combiners. A backfill antenna along with a control network is utilized to achieve the monopulse technique and sidelobe suppression. The control network is a stripline rat race attached to couplers. The antenna array achieves an excellent monopulse performance at the uplink (1030 MHz) and the downlink (1090 MHz) with a return loss better than 15 dB, a realized gain of 22.2 dBi and two independent Sum and Diff channels with a Sum-to-Diff ratio of 30 dB at the antenna boresight. The antenna array can handle a peak power of up to 2.7 MW for long-range traffic detection and control. Such performance makes the proposed antenna array a perfect candidate for secondary surveillance radar.
Effect of Occupational Health and Safety Best Practices on Employee Performance in Private Companies in Rwanda
Authors: Alphonse Mugisha Gatare , Rulinda Ephrard
Published: January 2025

The study titled "Effect of Occupational Health and Safety Best Practices on Employee Performance in Rwanda: Case of Sulfo Rwanda" explores the relationship between occupational health and safety (OHS) best practices and employee performance. The research aimed to investigate six key factors: the impact of safety training and awareness, incident reporting and investigation, safe work practices, regular inspections and audits, the use of personal protective equipment (PPE), and overall employee performance. Using an explanatory mixed-methods research design, the study relied on a population sample determined by the Yaman formula and employed a convenience sampling technique. Data was collected through questionnaires, interviews, and document reviews, with descriptive and inferential statistical methods used for analysis. The findings revealed a significant positive relationship between all examined safety practices and employee performance at Sulfo Rwanda. Specifically, safety training and awareness, incident reporting, safe work practices, regular inspections and audits, and the use of PPE all contributed positively to enhancing employee performance. The study concluded that the implementation of robust occupational health and safety practices significantly improves employee performance. Based on the findings, the researcher recommended that Sulfo Rwanda's management establish health and safety committees with qualified staff, conduct regular workplace inspections, and actively involve workers in the inspection process to further improve safety standards
Arduino-based Automatic Light Design Using a Light-dependent Resistor Sensor at dr. H.A Rotinsulu Hospital
Authors: Saputra Rizal , Rizki Ardelia Astriany
Published: January 2025

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.
Design Web-Based and Mobile Application Doctor Reservation Using Laravel Framework at Clinic Valio Centre
Authors: Dava Alhaq Nur Addin  , Arief Hermawan
Published: January 2025

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.
Optimization of Convolutional Neural Network (CNN) Using Transfer Learning for Disease Identification in Rice Leaf Images
Authors: Abdul Aziz  , Abdul Fadlil  , Tole Sutikno
Published: January 2025

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 Implementation of Keyless Entry and Starter Rfid System on Daihatsu Xenia Type Xi Year 2010
Authors: Bahtiar Wilantara  , Hamid Nasrullah  , Sidik Purnomo  , Ismail Kholid  , Azka Relief F W
Published: January 2025

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.
Need Analysis of Gamification-Based E-Learning Development with ADDIE Method for Student Learning Using Moodle Platform
Authors: Priadi Yohanes , Yosua Arda Kurnia  , Benedictus Pascal Sanjaya
Published: January 2025

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
Authors: Pasaribu Afifah Balqis , Dedi Irawan Muhammad
Published: January 2025

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.
Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing
Authors: Ari Aryadi  , Reza Febriano Armas  , Hamid Nasrullah  , Anissa Shofia Zahra
Published: January 2025

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.
Advanced Credit Scoring with Naive Bayes Algorithm: Improving Accuracy and Reliability in Financial Risk Assessment
Authors: Afandi Adam , Bedi Agtriadi Herman , Luqman Luqman , Susanti Meilia
Published: January 2025

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
Phishing Website Detection Using the Decision Tree Algorithm Method
Authors: Prasetyo Stefanus Eko , Haeruddin Haeruddin , . Arron
Published: January 2025

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 Effect Of Gasket Thickness Variations (Packing Block) On Power, Torque & Engine Rotation Of Yamaha F1ZR
Authors: Iqbal Risfianda Arraihan  , Sudarsono Bambang
Published: January 2025

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.
Decision Support System for Scholarship Recipients at Bhakti Setya Indonesia Health Polytechnic Foundation Using SAW and TOPSIS Methods
Authors: Senoaji Muhammad Senoaji Wibowo , Enny Itje Sela  , Apriyaldi Lukman  , Ferryma Arba Apriansyah  , Olwin Kirab Novaldy
Published: January 2025

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.
Analysis of Water Quality Parameters on the Survival Rate of Vannamei Shrimp using the Random Forest Method
Authors: Prih Diantono Abda'u  , Ratih Hafsarah Maharrani  , Zaenurrohman  , Adrian Putra Ramadhan
Published: January 2025

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.
Design and Build E-Stm Using Real-time Push Notification in Sumber Padi Village
Authors: Wulandari Novika , Samsudin Samsudin
Published: January 2025

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.
Intergroup Ethnonational Conflict - Resolving Kosovo’s Gordian Knot
Authors: Mitrovic Miroslav , Subotić Milovan
Published: January 2025

The Kosovo conflict is a frozen intergroup ethnonational conflict, historically long-lasting, complex, and burdened with accumulated conflicting interests and stereotypes. By relying on several analytical instruments, work in the paper focuses on determining the typology of conflict and its characteristics. Based on Hofstede's scale of cultural factors, the components of the strategic culture of Albanians and Serbs have been determined, which determines their attitude toward resolving the conflict. The essential preconditions for establishing the environment necessary to create a sustainable solution to the conflict are presented. The Circle model was the basis for a hypothetical answer to the Kosovo conflict that would lead to a stable and mutually acceptable solution. With all the limitations and generalizations of this complex conflict, the paper provides a general framework for the possible "intersection" of the Kosovo conflict, a kind of Gordian knot in the Balkans.