bluuebunny/crossref_metadata_2025 huggingface dataset:
Tools for Optimizing the Budget of an Advertising Campaign in Digital Marketing
Authors:   National Technical University «Kharkiv Polytechnic Institute», Shvets Anastasiia D. , Pyvavar Iryna V. ,   Simon Kuznets Kharkiv National University of Economics, Silichova Tetiana V. ,   V. N. Karazin Kharkiv National University
Published: February 2025

Advertising plays a pivotal role in shaping consumer behavior and driving economic growth. The study focuses on the impact of online advertising, including its personalized nature and ability to reach specific target audiences. The aim of the study is to analyze the factors that affect the efficiency of advertising, develop models for managing advertising campaigns and predicting potential results. The objective of the study is to analyze the factors that affect the efficiency of online advertising campaigns, to develop tools for predicting the results of advertising campaigns in order to determine the optimal marketing management strategies in the digital environment. The article uses various quantitative methods, including logistic regression and simulation modeling. As a result of the analysis of various tools, logistic regression with an adaptive gradient was recognized as the best, with the help of which the indicator for evaluating the efficiency of advertising – CTR (Click-Through Rate) was calculated. Based on the results of the built logistics model, a set of significant characteristics has been formed that have the greatest impact on the CTR indicator. It is determined that the most significant and efficient on the Internet will be banner advertising, which has its advantages: wide audience coverage, increased brand awareness, instant response. In addition to static assessment of advertising efficiency, the study builds a simulation model, on the basis of which the efficiency of investments under certain conditions and the cost of advertising is studied. A series of experiments with the model was carried out in order to search for the values of the parameters under which the best result of modeling the system is achieved, also to study the behavior of the model under given conditions. The key findings of the study confirmed that targeting, content relevance, and ad frequency significantly affect consumer response. The study also offers practical recommendations for businesses aimed at maximizing the return on investment in digital advertising.
Peculiarities of Customs Relations between Ukraine and the EU
Authors:   Vasyl’ Stus Donetsk National University, Ishchuk Yuliia A. , Osadchuk Anna I. ,   Vasyl’ Stus Donetsk National University, Serhushova Iryna O. ,   Vasyl’ Stus Donetsk National University
Published: February 2025

The article is devoted to the analysis of customs relations between Ukraine and the European Union (EU), which are of particular importance in the context of Ukraine’s integration into the European economic space. The study is based on the study of achievements and problems in the process of harmonization of the customs legislation of Ukraine with EU standards. The article reveals the consequences of the implementation of the Deep and Comprehensive Free Trade Area (DCFTA), which contributes to the reduction of tariffs, simplification of customs procedures, harmonization of rules and strengthening the competitiveness of Ukrainian enterprises. Particular attention is paid to modern reforms of the customs system, such as the introduction of a system of authorized economic operators (AEOs) and the use of NCTS (common transit regime). The study demonstrates the key role of the EU as Ukraine’s largest trading partner. Statistics show a significant dependence of Ukrainian exports on commodities such as cereals, fats and oils, ferrous metals, while imports from the EU cover energy resources, vehicles and industrial equipment. The growth of imports in 2023 indicates increased dependence on European goods, while exports decreased due to the difficult economic situation caused by the ongoing war. The authors highlight the challenges facing the customs system of Ukraine, including the need for digitalization, the fight against corruption, improving the protection of intellectual property rights and reforming legislation. Considerable attention is paid to the consequences of the war, which has complicated logistics chains and disrupted the operation of customs infrastructure. The article focuses on the prospects for further integration of Ukraine into the EU customs space, which provides for the completion of the harmonization of the Customs Code of Ukraine with EU standards, expansion of the program of authorized economic operators, connection to the latest EU digital systems. Integration into the European customs space will provide Ukraine with increased transparency of procedures, an increase in the volume of foreign trade operations and an improvement in the investment climate. At the same time, the authors emphasize the need to overcome the challenges caused by the war and economic instability to ensure long-term economic growth.
Corporate Social Responsibility as a Driver of Sustainable Development in the EU
Authors:   Vasyl’ Stus Donetsk National University, Varlamova Mariia L. , Sarkisian Larysa G. ,   State University of Trade and Economics
Published: February 2025

The aim of the study: to analyze the role of corporate social responsibility (CSR) in promoting sustainable development in the European Union (EU), considering legislative initiatives, the dissemination of reporting standards, and the experience of companies implementing ESG practices. Global initiatives encouraging the adoption of CSR and reporting on sustainable development principles are examined. Specifically, the UN Global Compact, the Global Reporting Initiative, the ISO standard on social responsibility, and the Principles for Responsible Investment are characterized. The study identifies significant growth in CSR reporting among the largest companies and establishes that Europe is one of the leading regions in implementing socially responsible activities. The EU's experience in forming legislative initiatives for CSR reporting is analyzed. An analysis of global trends reveals that European companies dominate the international ranking of the top 100 ESG companies, accounting for 35% of all positions. The analysis of leading companies based on their level of ESG practice implementation substantiates that CSR in the EU serves as an effective tool for achieving sustainable development, fostering a resilient economy, and strengthening social cohesion. Future research may focus on analyzing the impact of CSR implementation on the financial performance of companies across various economic sectors, exploring the motivation of small and medium-sized enterprises to comply with ESG standards, and studying the effectiveness of government programs supporting non-financial reporting.
Theoretical Concept of the Competitive Environment in Information and Communication Technologies: Subjects, Objects and Means of Competition
Authors:   State University of Trade and Economics, Zavhorodnya Elizaveta O. , Melnyk Tetyana M. ,   State University of Trade and Economics
Published: February 2025

The study is focused on forming a theoretical perspective on the objects and means of competition relevant to definite subjects of competition in the global market of information and communication technologies (ICT market), since such a comprehensive understanding is important for making strategic decisions, promoting economic development, optimising the career growth of specialists and adapting educational programmes to the emerging needs and requirements of the ICT market. The aim of our research is to elucidate the nature of the interactions and relationships among the key elements of the competitive landscape – namely, the subjects, objects, items, and means of competition – while placing a particular emphasis on the objects and means of competition in the global information and communication technologies market. The information basis for our study is a number of scientific and industry papers on competition in the ICT market. The study uses analysis, synthesis, generalisation, abstraction and graphical methods. The study expands theoretical concepts of the nature of interaction between the key components of the global ICT market (with a generalised scheme of interrelationships between them). It describes how the daily activities and interaction of users with ICTs form their needs and specific requirements/expectations (objects of competition in the ICT market) for technological products, services and solutions (items of competition in the ICT market) with the accompanying graphical generalised display. Based on the typical operations of users with ICTs, the authors have proposed a classification of objects of competition in the ICT market. The motivation, goals, items and means of competition for the main subjects of competition in the global ICT market are briefly outlined. The key means used by ICT companies, ICT specialists, research institutions and governments to form their competitive advantages and to compete effectively in the global ICT market are indicated and grouped in the study.
Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
Authors: Nigar Sultana  , Shariar Islam Saimon  , Intiser Islam  , Abir Shake Ibna , Md Sanjit Hossain  , Sarder Abdulla Al Shiam  , Nazrul Islam Khan
Published: February 2025

With advanced algorithms, artificial intelligence (AI) has revolutionized the medical diagnostic field where diseases can be predicted simultaneously. The integrative nature of this approach is novel because it can better encompass the complexity of comorbid conditions that are so common in patients; thus, addressing them in a more holistic diagnostic tone that is lacking in previous works. In this study, the investigation of the usage of AI models for simultaneously diagnosing diseases like diabetes, cardiovascular conditions, and neurological disorders is done. Therefore, based on AI techniques i.e. artificial neural networks (ANNs) and ensemble learning methods, a multi-disease diagnostic framework was developed to achieve this. A variety of features, related to each condition, were captured from multi-modal datasets including imaging, laboratory test results, and patient histories. The system was developed to manage the big flow of aggregated data and offer detailed diagnostic views of many diseases. Sensitivity, specificity, and overall diagnostic accuracy were used to evaluate the framework's performance. The results showed that the AI framework has high diagnostic accuracy for all targeted conditions an overall sensitivity of 93% and a specificity of 91%. Importantly, the combination of multi-modal data proved to substantially improve the system’s ability to identify and distinguish comorbid conditions. It makes the importance of using various data sources to benefit from the reliability and comprehensiveness of AI diagnostics obvious. Overall, AI-driven multi-disease diagnostic systems provide great promise for the role of delivering potentially transformative clinical healthcare workflow improvements, reducing errors, and improving patient outcomes. These frameworks will need to be scaled and tested in various healthcare settings and also across more varied diseases to help make medical diagnosis more available and effective.
Blogging about Sustainable Development in the EFL College Classroom
Authors: Reima Al-Jarf
Published: February 2025

Sustainable Development Goals (SDG) are not integrated in any EFL courses that students take at the College of Language Sciences. Therefore, this study proposes a model for integrating topics related to SDGs using a class blog. Each week, a specific and tangible topic related to an SDG from a local or global perspective (no poverty, zero hunger, good health and well-being, quality education, gender equality, clean water and sanitation, affordable and clean energy, decent work and economic growth, industry, innovation, and infrastructure, reduced inequality, sustainable cities and communities, responsible consumption and production, climate action, life below water, life on land, peace, justice, and strong institutions) is posted by the instructor. Blogging about SDG topics goes through three stages: a pre-task, task and post-task phase. The students may search for videos, photos or articles related to the assigned SDG and write a blog post that describes the photo, summarizes the video or article content. Participation goals that require the students to suggest solutions to a problem are integrated. The students write their reactions to the goal, post comments, and feedback on their classmates’ blog posts. They work on their blog posts individually, in pairs, and in small group; synchronously or asynchronously; on a smart phone, tablet, iPad or laptop. In the blogging activity, the instructor serves as a facilitator while the students are blogging.  The study gives recommendations for integrating SDG in EFL writing, speaking and reading courses.
An Assessment of Information Management Practices and the Containment of Financial Crimes in Nigeria
Authors: Tagang Jonathan Daboh , Ahmed Ado , I. Ningi Samaila , Shittu Ibrahim O.
Published: February 2025

This paper assesses the effects of information management practices on the containment of financial crimes in Nigeria. A cross-sectional research design was used to examine the relationship between the variables of the study. A total of 454 structured questionnaires were administered to the compliance department’s staff of CBN, DMBS, EFCC, and NFIU. Data collected were subjected to various diagnostic tests such as normality, reliability, and validity using IBM-SPSS V.26 software. Single and multiple linear regression analyses were employed for interpretation of data. The study found a significant influence existed between information management practices (IM), while a non-significant influence existed between the dependent variable of the study. The result for multiple regression analysis indicates that IM are very significant variables influencing the containment of financial crimes in Nigeria. The study recommends that reporting entities (REs) and law enforcement agencies (LEAs) should ensure that their information management practices are robust and sufficient. This will aid the containment of financial crimes in Nigeria. The IV is proxied by information quality, information accessibility, information security, information governance, information usage, and user satisfaction, while the containment of FCs is proxied by money laundering and terrorism finance.
LISTENER LOYALTY TO B'DUE RADIO: IMPACT OF BROADCAST QUALITY & BRAND IMAGE
Authors: Juhari Juhari , Masri Desi , Zufriady Zufriady
Published: February 2025

Radio as an important medium for delivering information and entertainment is facing increasingly intense competition in the media industry. This study aims to examine the direct influence of broadcast quality and brand image on listener loyalty to B'Due Radio, with listener satisfaction acting as a mediating variable. A quantitative approach was employed, using a survey method by distributing questionnaires to B'Due Radio listeners. The data were analyzed through Structural Equation Modelling (SEM) using the Smart PLS-3 software. The results indicate that both broadcast quality and brand image directly affect listener satisfaction, which in turn is associated with greater listener loyalty. Additionally, listener satisfaction mediates the relationship between broadcast quality, brand image, and listener loyalty. The study faces several limitations, such as a small sample size and difficulties in generalizing the results to a wider population. Nonetheless, these findings offer valuable insights into the factors that drive listener loyalty in radio. The results of this study can serve as recommendations for B'Due Radio to enhance broadcast quality, strengthen brand image, and improve listener satisfaction to bolster listener loyalty.
Does Financial Literacy Mediate, Future Perspective, and Risk Tolerance on Retirement Saving Behavior.
Authors: Sulistianingsih Henny , Maivalinda Maivalinda , Srihasnita Rita , Zetri Rifaldo , Rismanda Rachyta
Published: February 2025

The purpose of this study was to test the effect of financial literacy, future perspective, significant risk tolerance on retirement saving behavior. And to test the financial literacy variables mediating future perspective and risk tolerance on retirement saving behavior for the community. The type of quantitative descriptive research, causal design is useful for measuring the relationship between research variables or is useful for analyzing how one variable affects another variable. The population in this study were all people in Padang. The sampling technique was done by random sampling. The data used were primary data, measurements with a Likert scale. The data processing technique used the SEM method based on Partial Least Square (PLS.). The results of this study stated that financial literacy had a significant positive effect on retirement savings behavior. Future perspective had a significant positive effect on financial literacy and retirement savings behavior. The risk tolerance variable had a significant positive effect on financial literacy. Conversely, risk tolerance did not affect retirement savings behavior. Financial literacy as a mediating variable, future perspective and risk tolerance did not affect their retirement savings planning.
Promjene agrarne strukture u Republici Hrvatskoj od 2013. do 2023. godine
Authors: Japundžić Matija , Tolić Snježana
Published: February 2025

U radu su analizirane promjene agrarne strukture u Republici Hrvatskoj te identificirani trendovi i obrasci glavnih promjena od 2013. do 2023. godine. Prema ARKOD evidenciji, rezultati analiza pokazuju blage pozitivne promjene agrarne strukture, koje se odnose na povećanje ukupne korištene poljoprivredne površine s 1 312 947 ha na 1 367 991 ha, rast prosječne veličine ARKOD parcele s 0,75 ha na 0,85 ha, rast veličine prosječnog poljoprivrednog gospodarstva sa 6,83 ha na 7,63 ha te nepromijenjen broj od prosječno 9 ARKOD parcela po gospodarstvu. U 2023. godini gospodarstva do 20 ha koristila su 39,18 % poljoprivrednog zemljišta, gospodarstva od 20 do 100 ha 31,21 %, a gospodarstva veća od 100 ha koristila su 29,62 %. Mali proizvođači do 20 ha veličine čine 93,43 % svih poljoprivrednih gospodarstava, a ostatak od 6,57 % su gospodarstva veća od 20 ha čiji broj kontinuirano raste. Prema evidenciji Upisnika poljoprivrednika, broj poljoprivrednih gospodarstava kontinuirano se smanjuje uslijed nepovoljne demografske strukture, koju obilježava brži rast udjela nositelja starijih generacija u odnosu na brzinu ulaska mladih u poljoprivredu. Velik udjel malih gospodarstava s pretežito starijim nositeljima predstavlja kočnicu za brži razvoj i modernizaciju poljoprivrede što zahtijeva nove prilagodbe politika kako bi se podržao razvoj održivih poljoprivrednih praksi i očuvalo ruralno stanovništvo. Ovi izazovi zahtijevaju strateški pristup radi dostizanja dugoročne održivosti i konkurentnosti poljoprivrednog sektora u Hrvatskoj.
The Role of Transformational Leadership, Intrinsic Motivation, and Job Satisfaction in Enhancing Employee Performance at the Regional Financial and Asset Management Agency Ternate City
Authors: Alhaddad Salsha Raehana , Sabuhari Rahmat , Arilaha Muhammad Asril
Published: February 2025

ABSTRACTObjective: This study aims to analyze the influence of transformational leadership, intrinsic motivation, and job satisfaction on employee performance in the public sector.Methodology: This research employs a survey design with a quantitative approach to analyze the effects of transformational leadership, intrinsic motivation, and job satisfaction on employee performance. Data were collected through a structured questionnaire from 88 civil servants at the Regional Financial Management and Asset Agency of Ternate City. Analysis was conducted using multiple linear regression with SPSS after conducting validity, reliability, linearity, multicollinearity, and heteroscedasticity tests. Hypotheses were tested using statistical t and F criteria.Findings: The analysis results indicate that transformational leadership has a significant impact on employee performance. Intrinsic motivation shows a regression coefficient of 0.550 with a t-statistic value of 4.986 and a significance level of 0.000. Job satisfaction also has a significant effect with a regression coefficient of 0.336, a t-statistic of 6.295, and a significance level of 0.000. The R Square value of 0.518 indicates that 51.8% of the variability in employee performance can be explained by these three variables.Conclusion: Transformational leadership, intrinsic motivation, and job satisfaction collectively contribute significantly to enhancing employee performance. This study suggests a need for greater attention to these factors to improve employee performance in the public sector. Further research is needed to explore other factors that may have an impact.Â
The Effect of Compensation and Motivation on Employee Performance at PT. Telkom in Ternate City
Authors: Irwan Nadira , Jabid Abdullah W , Kamis Ruslan A
Published: February 2025

ABSTRACTObjective: This study aims to examine the effect of compensation and work motivation on employee performance at PT. Telkom, Ternate City. The research employs a quantitative approach to analyze the relationship between the independent variables (compensation and motivation) and the dependent variable (employee performance).Methodology: The research was conducted at PT. Telkom Ternate City branch, with the population comprising 151 employees. A census sampling technique was used, meaning that all employees were included in the study to ensure a comprehensive dataset. Primary data was gathered through questionnaires completed by the employees. Data analysis involved descriptive statistics, inferential statistics (including normality, multicollinearity, autocorrelation, and heteroscedasticity tests), multiple linear regression analysis, and hypothesis testing (F-test and t-test).Findings: The results of the study indicated that both compensation (t = 9.719, sig. = 0.000) and motivation (t = 3.162, sig. = 0.002) have a significant impact on employee performance at PT. Telkom, Ternate City, supporting the research hypothesis.Conclusion: This study underscores the significant influence of both compensation and work motivation on employee performance at PT. Telkom, Ternate City. The findings reveal that these factors contribute significantly to improving employee performance. To further enhance employee performance, PT. Telkom Ternate City should consider optimizing its compensation structure and motivation programs, which can lead to higher job satisfaction and organizational productivity.
Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network
Authors: Qatrunnada Rusvaira , Novizon Novizon , Hasanah Mardini , Angraini Tuti , Anton Anton
Published: February 2025

Nowadays, the use of renewable energy is increasing, especially distributed power generation (DG) connected to the power grid. There are several problems when DG is connected to the grid. The principal obstacle pertains to the detachment of Distributed Generation (DG) from the grid, a phenomenon well known as islanding. Islanding detection is an important task that should be completed in no more than two seconds. Earlier studies have shown several approaches to islanding detection. The use of an Artificial Neural Network (ANN) based on the learning vector quantization (LVQ) technique is proposed in this paper for fault classification and islanding detection in grid-connected distributed generators. The method consists of discrete wavelet transform (DWT), which extracts some features from the fault signal. Then, LVQ is used to classify the disturbance and detect islanding events. Power, entropy, and total harmonic distortion (THD) are used to obtain the total harmonic value. All features become inputs for LVQ, and system disturbances, lightning, and islanding disturbances are used as LVQ outputs. There are 600 datasets consisting of 200 datasets for each fault as training data. To test the LVQ training results, 120 datasets consisting of 40 datasets for each disturbance are used. The training error is made at 0.1 percent to get good testing results. The test results from 120 datasets showed that the test data achieved 99.10% accuracy. In other words, the test results are very effective because there are only 0.9% errors, and there are 2 test data that do not match the actual situation.
Implementation of Fuzzy Logic in the Monitoring and Controlling System for Temperature and pH of Fry Aquarium Water Betta Fish Based on the Internet of Things
Authors: Wahyudi Rico , Ullah Aulia , Zarory Hilman , Faizal Ahmad
Published: February 2025

A problem faced by betta fish farmers is the difficulty in monitoring and controlling the temperature and pH of the water in betta fish fry ponds. This condition causes many deaths of Betta fish fry which results in a reduction in the supply of Betta fish seeds. To overcome this problem, a system based on the Internet of Things was developed(IoT) which can monitor in real time and control the temperature and pH of the water in the Betta fish fry pond. This system is implemented in an aquarium equipped with artificial intelligence in decision making which aims to keep the temperature and pH of the aquarium water stable. The components used in this system include ESP32, DS18B20 temperature sensor, water pH sensor, Thermo Electric Cooler (TEC), heater, DC pump, and fuzzy logic implementation. The results of system testing for 14 days showed that the system was able to monitor and control the temperature and pH of the aquarium water, maintaining ideal conditions for Betta fish fry with an average temperature of 28.79°C and an average water pH of 7.45. The system also succeeded in reducing the mortality rate of Betta fish fry, as proven in comparative tests between aquariums without system implementation and aquariums with system implementation. In this trial, each aquarium was filled with 30 betta fish fry. The results showed that the aquarium with system implementation was able to reduce the death rate of Betta fish fry by 5 or 16.67% from a total of 30 fish. Meanwhile, aquariums without system implementation had a death rate of 12 betta fish fry or 40% of the total of 30 betta fish fry.
Feasibility Study of Hybrid Photovoltaic (PV)-Generator Set Power Plant at Palm Oil Mill
Authors: Saputra Ramadian , Jelita Marhama
Published: February 2025

Kuko Palm Oil Mill, currently not interconnected with PLN electricity, relies on diesel-fueled generators of 1100 kVA and 650 kVA to meet its electrical needs. To reduce diesel consumption, a Hybrid Power Plant (PLTH) system comprising generators, batteries, and Photovoltaic (PV) panels is proposed. Optimization studies, evaluating technical and economic feasibility, are conducted using HOMER software. Optimal PLTH configuration includes 8,727 kW PV, 500 kW generator, 1,000 kW generator, 25,708 battery units, and 1,481 kW converter. PLTH generates 14,339,116 kWh/year, fulfilling PKS electricity requirements. Economic analysis yields NPC of Rp356,000,000,000, initial investment of Rp77,400,000,000, operation and maintenance costs of Rp21,600,000,000, and LCOE of Rp3,147/kWh. IRR stands at 22%, NPV is positive at Rp124,000,000,000, with a 3.5-year capital return. These results indicate PLTH feasibility both technically and economically
Implementing the TOPSIS Method for Book Update and Procurement Priority
Authors: Tamsir Nurlindasari , Magfirah Magfirah , Rosida Vivi , H. Umar St. Amina , Widyawati Widyawati
Published: February 2025

A library is a building or room designed for the purpose of storing and organizing various types of library items, including books, monographs, serial publications, brochures, and non-library materials. In the Hasanuddin University (Unhas) library, there are at least 516,000 volumes of literature. One of the important things is how to ensure that the contents of the library remain relevant to the special literacy needs of this modern era. Considering that books are static, of course it is necessary to update and procure the newest and most up-to-date types of books. The goal of this research is to use the TOPSIS algorithm to determine the procurement and updating of books in the UNHAS library, particularly at the Faculty of Nursing. Based on the regular year data criteria (2008–2023), it is known that books borrowed (5–25≤ ) and book stocks (5–45 copies) are based on the publication every five years. It is known that if the preference value (v) 0.60 is included in the procurement category, preference (v) 0.30 is included in the updating category, and preference (v) 0.31–0.59 is not included in the procurement and update categories. The ranking results of 6 (six) book samples reveal that 2 (two) categorized into the procurement category with a preference value (v) of 0.64, 2 (two) categorized into the updating category with a preference value (v) of 0.2 and 0.3, and 2 (two) categorized into the category where book updates and procurement do not occur, with preference values (v) of 0.36 and 0.5.
Increasing the Soil Resistance Value in the 20 kV Medium Voltage Distribution Network using the Soil Treatment method
Authors: Taryo Taryo , Fauzi Andri Ahmad , Rosidi Rosidi
Published: February 2025

This study aims to enhance soil resistivity in a 20 kV electrical distribution network using a mixture of rice husk ash and mangrove wood charcoal. Rice husk ash is an additive known to reduce grounding resistance due to its water-absorbing properties, maintaining soil moisture. Effective grounding system is crucial to ensure fault currents can safely dissipate into the ground, protecting equipment and maintaining electrical distribution continuity. PUIL 2000 standards mandate soil resistivity below 5 Ω. The study method involved initial soil resistivity measurements using a Digital Earth Tester 4015 A, adding various mixtures of rice husk ash and mangrove wood charcoal around electrode planting areas, and periodic resistivity measurements over five days after four mixture additions. Scheme 1, 70% mangrove wood charcoal and 30% rice husk ash. Scheme 2, 30% mangrove wood charcoal and 70% rice husk ash. Scheme 3, 100% rice husk ash. Scheme 4, 100% mangrove wood charcoal. Results showed significant resistivity reduction, with the 30% rice husk ash and 70% mangrove wood charcoal mixture lowering resistivity to an average of 3.78 Ω, reflecting a 43.5% decrease from the initial value. Adding rice husk ash and mangrove wood charcoal to field soil enhanced soil conductivity, enabling resistance reduction to meet safety standards. This study recommends this blend as an effective and economical alternative to reduce grounding resistance in 20 kV electrical distribution systems.
EVALUATION SUBSTATION PROTECTION SYSTEM FROM LIGHTNING STRIKES AT 150KV JATIGEDE SUBSTATION
Authors: Taryo Taryo , Al Karim Ostadz , Sapaat Jajang Nur
Published: February 2025

Grounding serves a crucial role in the field lightning protection, electric power, and electric power communications networks. The grounding system's purpose is to guide the flow of electrical charges to the ground mass as rapidly as feasible. The goal of this study is to analyze the grounding system utilized to ensure the continuity of electrical energy production and delivery. In this study, quantitative methods are used to calculate lightning parameters, substation protection by earthing wires and protection towers, earthing system, mesh voltages, touch voltages and step voltages. According to IEEE 80-2013 (latest revision) standards, an ideal earthing application should have a resistance value of 1Ω. The results of the analysis and calculation of the grounding system using the grid grounding type obtained a value of 0.28276 Ω (1Ω), and mesh voltage 0,851314 kV. The protection system which consists of a 103.47288 M ground wire and a 55.27325 M protection tower, is capable of protecting the substation from lightning strikes with a peak current of 51.32913 kA. The touch voltage for humans weighing 50kg and 70kg is 133.39304 V and 180.54060 V, and the step voltage results in 185.5770 V and 251.1690 V. When the grounding current at touch and step voltages is considered, the values become 442.87730 kV and 616.17712 kV. Both exceed the allowed levels of 626 and 2,216 V.
Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination
Authors: Altim Muhammad Zainal , Basalamah Abdullah , Kasman Kasman
Published: February 2025

The purpose of this study is to design and build a CNN deep learning program modeling for a mobile application for rice quality classification and analyze the performance of a mobile application-based classification program as a means of halal information in real time. The method applied is an experimental method that utilizes machine learning technology by using many rice images that are used as datasets. The data of these images is classified by their shape, color and background. This image is used as a reference for the training dataset. After the CNN training model is formed, it is then set up in a web editor p5.js then an interface is created to connect to a server such as Google Cloud using FastAPI, which can be accessed using a mobile application or a web server such as Chrome. In the mobile application, create an interface to connect with the camera system and data base on the cloud server. The results of the study were obtained that CNN deep learning modeling can be used in real time. In web browser usage, the data shown is also affected by lighting. The accuracy level of the built model reached above 99.8 percent with a validation accuracy rate of 99.7 percent in the data training process. When testing, the average accuracy of the data was around 99.9 percent. This clearly proves that CNNs can be used to classify objects properly and accurately.
The Effectiveness of Using Realistic Mathematics Education (RME)-based Students’ Worksheet to Improve Students' Mathematical Problem-solving Skills
Authors: Manggarrani Anggita , Marhaeni Nafida Hetty
Published: February 2025

This study aims to determine the effectiveness of using Realistic Mathematics Education (RME)-based Students’ Worksheets (LKPD) to improve students' mathematical problem-solving skills. This type of research is experimental research with pretest posttest control group design. The samples in this study were class X-E2 as the experimental class with 36 students and class X-E3 as the control class with 36 students. Data collection techniques using interviews, observations, and pretest and posttest assessments of students' problem-solving skills on statistics material. The hypothesis of this study is that the use of RME-based LKPD is more effective in improving students' problem-solving skills than learning without using RME-based LKPD. The results obtained from this study are the use of RME-based LKPD which contains indicators of problem-solving skills proven effective to improve students' problem-solving skills. This conclusion is obtained based on the results of statistical tests, namely the Wilcoxon Signed Rank Test where the test results from the experimental class and control class have sig. 2 tailed < 0.05, Mann-Whitney U Test which has sig. 2 tailed <0.05, and the mean difference test which shows an increase in the experimental class of 28.05 and in the control class of 11.39 which shows that learning using RME-based LKPD is more effective in improving students' problem-solving skills than learning without using RME-based LKPD.
Exploration of Learners' Creative Thinking in Applying the Concept of Division in Class VII Junior High School
Authors: Wilda Yanti  , Sugiatno  , Evi Noviani
Published: February 2025

This study aims to describe the creative thinking ability of seventh grade junior high school students in applying the concept of division and identify the factors that cause creative thinking difficulties in that context. This research is based on the importance of understanding mathematical concepts, where creative thinking becomes the foundation in helping students overcome difficulties in understanding the concept of division. The method used was qualitative with an explorative approach. Participants were selected using a purposive sampling technique, focusing on learners who were considered to be able to provide in-depth insights into their creative thinking abilities and the difficulties they faced. The results showed that learners were generally able to generate ideas quickly (fluency) and connect concepts with solutions in a relevant manner, although there were some ideas that were less relevant. Most learners also show flexibility by using various methods in solving problems, but there are some who tend to use only one method. In terms of originality, unique and structured ideas were found, although some were less structured or unable to develop ideas completely. In terms of elaboration, some learners were able to detail ideas well, while others showed weaknesses in detailing and developing ideas. Factors that cause creative thinking difficulties include lack of understanding of basic concepts, limitations in connecting prior knowledge, lack of practice and time, low level of confidence, lack of practice in working on open-ended problems, learning methods that do not support creativity, and lack of motivation.
THE ABILITY OF MATHEMATICAL REPRESENTATION AND STUDENT RESPONSE THROUGH PROBLEM-BASED LEARNING MODEL BASED ON MATHMAGIC IN ALGEBRA MATERIAL IN GRADE VII OF JUNIOR HIGH SCHOOL
Authors: Sintya Masliyani  , Ahmad Yani T  , Dede Suratman
Published: February 2025

The purpose of this research is to demonstrate the mathematical representation abilities between students who participate in learning using a mathmagic-based problem-based learning model and the mathematical representation abilities of students who use the conventional lecture method. The research subjects involved 36 students from SMP Negeri 4 Sungai Raya, consisting of class VII B as the control class and class VII F as the experimental class. The research method used is quantitative, with instruments in the form of short answer questions packaged in a math magic format. The data was analyzed using normality tests, homogeneity tests, and hypothesis testing through independent sample t-Test and Pearson Product Moment correlation tests. The results of the study indicate that the problem-based learning model based on mathmagic is more effective in enhancing mathematical representation skills compared to the conventional lecture method, with a significance value of 0.035 indicating a difference in average ability between the two classes. In addition, the results of the Pearson correlation test showed an r value of 0.228, indicating a positive relationship between students' mathematical representation skills and their responses, where students with higher representation skills tend to provide positive responses.
Application of Tahani Fuzzy Logic in Participant Selection for ONMIPA PT: A Case Study at Institut Teknologi Del
Authors: Santoso Jaya , Saragih Asido , Ana Muliyana
Published: February 2025

This study investigates the preparation of students for the National Olympiad of Mathematics and Natural Sciences for Higher Education (ONMIPA PT), focusing on the selection process at Institut Teknologi Del (IT Del). The research applies the Tahani fuzzy logic method to select students who demonstrate potential across various mathematical disciplines such as Linear Algebra, Abstract Algebra, Real Analysis, Complex Analysis, and Combinatorics. By using fuzzy logic, students' performances are categorized into three levels: less, adequate, and good. The goal is to ensure a well-rounded selection of participants who can excel in all tested areas, rather than choosing those with the highest scores in individual topics. The results demonstrate that fuzzy logic improves decision-making in selecting participants for the competition. Additionally, the study highlights the broader implications of ONMIPA PT in enhancing educational quality and fostering scientific excellence. This research contributes to the development of selection methods for academic competitions, offering insights into the application of fuzzy logic in multi-stage decision-making processes.
Scientific Academic Writing Skills Among University Students: Results from a Self-Assessment Survey
Authors: Rizki Lussy Midani , Natalia Stevi , Nurafni  , Suparman  , Kusumah Darhim , Kusumah Yaya S. , Juandi Dadang
Published: February 2025

This qualitative descriptive study provides a comprehensive profile of scientific academic writing skills among university students enrolled in mathematics education and primary school teacher education programs. Using a self-assessment survey, 110 students evaluated their proficiency across various dimensions of scientific writing, including clarity and coherence, organization of scientific arguments, use of scientific terminology, citation and referencing, critical evaluation of literature, and independent thinking. The data were analyzed using descriptive statistics to identify trends, strengths, and areas for improvement in students' writing skills. The findings revealed that students generally feel confident in their ability to construct clear academic paragraphs and use appropriate vocabulary and tone, but struggle with higher-order writing tasks such as synthesizing information from multiple sources and organizing extended scientific texts. Many students also expressed difficulties in applying proper citation and referencing styles, particularly APA format. Key strengths identified in the study include competence in basic grammar, punctuation, and paragraph structure, while notable weaknesses were found in areas such as critical evaluation, organizing complex arguments, and correct application of citation conventions. These results suggest a need for targeted instructional interventions to help students develop the advanced scientific writing skills necessary for academic success. The study's findings contribute to the ongoing discourse on improving scientific academic writing pedagogy, offering insights for educators to better support students in mastering these critical skills.
The Correlation Between Memory Ability on the Concept of Atomic Structure and Student Learning Outcomes on Chemical Bonding Material
Authors: Shasa Meliani  , Miterianifa  , Ira Mahartika  , Arif Yasthophi
Published: February 2025

Pelajaran kimia memerlukan kemampuan daya ingat karena beberapa pelajaran kimia berkesinambungan satu dengan yang lain, meliputi ikatan kimia dan struktur atom. Kapasitas daya ingat sebagian siswa dinilai rendah dalam mengingat materi yang disampaikan, oleh karena itu perlu diketahui hubungan antara kemampuan daya ingat konsep struktur atom dengan hasil belajar siswa pada materi ikatan kimia. Lokasi penelitian di MAN 4 Kampar pada semester ganjil tahun ajaran 2023/2024. Metode penelitian yang digunakan adalah penelitian kuantitatif berupa penelitian korelasional. Sampel yang digunakan dalam penelitian ini terdiri dari siswa kelas X1 dan X2 di MAN 4 Kampar. Teknik pengambilan sampel menggunakan teknik purposive sampling. Teknik pengumpulan data untuk penelitian kemampuan daya ingat dan hasil belajar menggunakan tes berbasis soal, angket kemampuan daya ingat, dan dokumentasi. Sedangkan teknik analisis data menggunakan rumus korelasi momen Pearson. Hasil yang diperoleh dari pengumpulan data menunjukkan rhitung = 0,543 dengan nilai sig dua sisi sebesar 0,000, dan nilai rtabel pada taraf signifikansi 5% sebesar 0,316. Nilai signifikansi sebesar 0,000 < 0,05 dan nilai rhitung > nilai rtabel, maka dapat disimpulkan bahwa H0 ditolak dan Ha diterima yang berarti terdapat hubungan antara kemampuan menghafal konsep struktur atom dengan hasil belajar ikatan kimia.
Level of Students Geometry Thinking on quadrilateral topic
Authors: Nggaba Mayun
Published: February 2025

Quadrilateral is one of the geometry topics in the curriculum, and students at junior high school must understand the topic. Therefore, we researched 40 students (11/13 years) in Kambera District, East Sumba Regency, East Nusa Tenggara, to identify and describe students' geometric thinking levels. The research is descriptive qualitative research with data collection techniques and is a written test for the quadrilateral case. The data were analyzed using van Hiele's theory. The results showed that 1) only one-third of the students are at level 0 (visualization), i.e., students knew geometric pictures by observing the images or models. At this level, half of the students still need to improve in classifying the types of quadrilaterals, and 2) only a few students are at level 1. They can understand or know the properties of quadrilaterals. The written results found that almost all students needed help understanding the topic of quadrilaterals and their properties well. Nearly all students have yet to be able to recognize and classify the types of quadrilaterals well.
The influence of the Jigsaw type cooperative learning model on students' thinking abilities
Authors: Khairiyah Anissa
Published: February 2025

This ponder points to analyze the impact of the jigsaw sort agreeable learning show on students' basic considering abilities, and see how colossal and positive or negative the impact that happens between the two factors. This investigate employments a quantitative approach strategy of genuine test sort. by utilizing the Pretest-Posttest Control Gather Plan investigate plan. The populace of this think about was all lesson VIII MTs Tarbiyah Islamiyah comprising of 2 classes totaling 55 understudies. The test utilized was lesson VIII-b as numerous as 30 understudies. the testing procedure utilized was arbitrary testing strategy. Information were collected through test questions on SPLDV fabric a few time as of late and after treatment of the jigsaw learning show. The information were analyzed utilizing parametric truthful tests, to be particular essential straight relapse tests with SPSS 22.0 The comes approximately of the examination appeared that the Sig.2 (2-tailed) esteem was 0.040 and 0.040 < 0.05, meaning that there was a noteworthy impact between variable X and variable Y, to be particular the impact of the jigsaw learning show on students' basic considering capacities.
Increasing Students' Critical Thinking Ability with the Teams Games Tournament (TGT) Learning Model
Authors: Syafirah Intan
Published: February 2025

This inquire about points to survey the affect of executing the Groups Recreations Competition learning demonstrate on numerical issue fathoming abilities in lesson VII understudies at MTs Tarbiyah Islamiyah Ulumahuam. Employing a quantitative approach with a pre-experimental inquire about plan of the One Gather Pretest-Posttest sort, this inquire about included 27 understudies as a test from the lesson VII populace. Based on information investigation, the normal pretest score gotten was 38.00, whereas in treatment, the posttest score experienced a critical increment with an normal of 85.33. The measurable test comes about appear a t-count esteem of 5.55 which is more noteworthy than the t-table of 2.04 at a importance level of 0.01, expressing that there's a critical impact of the TGT demonstrate on students' numerical issue understanding capacities. The application of the TGT show has demonstrated to be successful in moving forward students' capacities since it can increment center, imagination and collaboration in fathoming scientific issues. By utilizing this model, understudies are more effectively included within the learning prepare, which closes in a significant increment in science learning results. 
 
Keywords: Mathematical Critical Thinking Ability, Teams Games Tournament (TGT) Model.