Formosa Journal of Science and Technology

Processing Village Superior Commodities Into Competitive Multisrata Products in West Halmahera District

Yumima Sinyo — 2025-01-07

This research analyzes superior commodities and their derivative products (multistrata products) in West Halmahera Regency, North Maluku Province. The study was conducted in Golo village, Sahu sub-district from March to August 2024, using both quantitative and qualitative methods. Data collection involved primary sources through field surveys and secondary sources from government agencies. Location Quotient (LQ) analysis revealed banana (1.562), coconut (1.544), nutmeg (1.243), and corn (1.240) as base sector commodities, while durian (0.116) was identified as a non-base sector commodity.

Implementation of the Child Protection Law in Handling Cases of Violence Against Children in Indonesia

Kintan Fisabil — 2025-01-13

Family members who commit violence against each other are called domestic violence (KDRT). This form of violence can be physical, psychological, sexual or economic. Domestic violence often occurs in intimate relationships, but can also involve other family members, such as children or parents. One of the most common cases is violence against children, which can be found in various places throughout Indonesia's provinces. This is very paradoxical because parents are supposed to provide sincere love, guidance and education to children, who are supposed to be the next generation. The family, which should be a safe and comfortable place, actually creates fear for children. Children who experience physical, verbal, emotional, mental, or sexual abuse experience symptoms of mental disorders that can interfere with development and social interactions, according to research. To implement the Child Protection Law, the government, society and various parties must work together to create a positive environment that supports children's development. With the right steps, it is hoped that cases of violence against children can be minimized and victims receive the necessary protection.

Implementation of Pancasila Values in the Formation of Law No. 1 of 2023 (New Criminal Code)

Ahmad Rivai Ardiansyah Harahap — 2025-01-13

The historical journey of the Indonesian nation from the colonial era to independence can be understood as a paradigmatic journey. Politically, Indonesia underwent a transformation from a peripheral nation to an entity that took over the center of power through the proclamation of independence in August 1945, moving from the Dutch East Indies to the Republic of Indonesia. Not all nations that have achieved independence have tried to build a new life based on innovative principles. In this context, the role of Pancasila and the 1945 Constitution (1945 Constitution) has a very important significance to these fundamental changes. Pancasila, as a basic state norm (staatssfundamentalnorm), functions as a grand design for society and a new life in Indonesia. Similarly, the establishment of Law Number 1 of 2023 concerning the National Criminal Code (KUHP) still reflects the values of Pancasila as the country's basic norm which will come into effect in 2026. Law Number 1 of 2023 (New Criminal Code) introduces a number of new criminal concepts that are different from the previous Criminal Code. This renewal is expected to be able to answer the legal challenges faced today and replace colonial concepts that have become obsolete and no longer relevant in overcoming contemporary problems. This update covers three main issues in criminal law: first, the formulation of unlawful acts; second, criminal liability, both against individuals as perpetrators and against legal entities; and third, the type of crime and actions that can be applied. The change in the concept of penal in the National Criminal Code is influenced by the development of criminal theory, which shows a shift from a retributive approach to restorative justice. Therefore, the purpose of criminalization is not only to focus on punishment, but also to try to balance two aspects of community protection, namely the victim and the perpetrator.

Information Warfare Strategy in the Perspective of War Threats to Social and Political Stability in the Digital Age

Amdex Dwi Satyo Yudho — 2025-01-17

Information warfare in the context of asymmetric warfare poses a significant challenge to social and political stability in the digital era. This study is motivated by advancements in information and communication technology that enable instant dissemination of information, creating opportunities for state and non-state actors to exploit social vulnerabilities through disinformation and propaganda. The objective of this research is to analyze information warfare strategies in asymmetric warfare and their impact on national stability. Employing a qualitative method with a literature review approach, the study delves into concepts such as asymmetric warfare, social stability, and the digital era. The findings reveal that actors employ framing, agenda-setting, and disinformation techniques to create polarization and undermine the legitimacy of social institutions. Social media serves as a key tool in propagating highly effective propaganda. The study concludes that digital literacy and stronger social media regulations are critical for enhancing social resilience. Recommendations include developing comprehensive digital literacy programs, utilizing AI-based early detection technologies, and strengthening collaboration between the government and civil society.

The Effect of Profit Sharing Ratio, Zakat Performance Ratio and Islamic Performance Ratio on Profitability with Financing to Deposite Ratio (FDR) as a Moderating Variable in Islamic Commercial Banks 2017-2023

Francinita Putri — 2025-01-24

In practice, the performance measurement of Islamic banks has only presented the performance of Islamic finance in a materialistic aspect, without revealing spiritual and social values. In fact, it is very important to measure the performance of Islamic finance to realize stakeholder trust. Therefore, this study was conducted to find out whether Islamic banks in Indonesia have been able to realize stakeholder trust. This study is a quantitative study with the population of Islamic Banking companies for the 2017-2023 period found in the OJK. The sample selection in this study used purposive sampling. The analysis method uses a panel data regression model using the E-views software 12. The results show that the zakat performance ratio and the zakat performance ratio with FDR moderation show an influence on profitability. Meanwhile, the profit sharing ratio and the Islamic performance ratio with FDR moderation have no influence on profitability.

The Influence of Market Orientation and Product Innovation on the Marketing Performance of Fashion SMEs in South Tangerang City

Putri Nilam Kencana — 2025-01-24

The purpose of this study is to investigate how product innovation and market orientation affect the marketing performance of fashion SMEs in South Tangerang City. The research employed an associative methodology, with a population comprising 112 fashion SMEs in the area. Data analysis methods included correlation coefficients, coefficients of determination, partial t-tests, simultaneous F-tests, simple linear regression, and multiple linear regression. The findings demonstrate that market orientation significantly and favorably affects marketing performance, as shown by the basic linear regression equation.Y = 23.735 + 0.422X. The correlation coefficient is 0.868 (very strong), with a determination coefficient of 75.4%. Furthermore, t-value (tcount) is 18.357, exceeding the t-table value of 1.981 with a significance level of 0.000 (<0.05). Similarly, product innovation has a positive and significant effect on marketing performance, demonstrated by the equation Y = 23.272 + 0.434X. The correlation coefficient is 0.769 (strong), and the determination coefficient is 59.1%. The t-value (tcount) is 12.619, greater than the t-table value of 1.981 with a significance level of 0.000 (<0.05). Simultaneously, market orientation and product innovation together positively and significantly affect marketing performance, supported by the multiple linear regression equation Y = 22.535 + 0.345X1 + 0.111X2. The correlation coefficient is 0.876 (very strong), with a determination coefficient of 76.7%. The F-value (Fcount) is 179.885, exceeding the F-table value of 3.93 with a significance level of 0.000 (<0.05).

Early Childhood Learning Management: Multi-site Study in Pioneer Kindergarten and Matahari Bunda Kindergarten, Kurun District, Gunung Mas Regency

Wiwi Wiwi — 2025-01-24

This study aims to reveal the management of early childhood learning in Perintis Kindergarten and Matahari Bunda Kindergarten, Kurun District, Gunung Mas Regency. The results of the study indicate that: 1) Learning planning begins with compiling a one-year activity program. 2) In the division of teaching tasks for teachers, it is adjusted to their respective competencies and expertise by holding a coordination meeting first at the beginning of the new school year. 3) The implementation of learning uses classical learning models, play while learning methods, and thematic. 4) Learning evaluations are also carried out periodically, namely every day, every end of the month and every end of the semester.

Implementation of Disciplinary Character Education at the Integrated Islamic Kindergarten Imam Syafi’i and Integrated Islamic Kindergarten Bintang Qur'ani, Banjarmasin City

Noorainah Noorainah — 2025-01-24

This study aims to describe and analyze the management of character education learning discipline in Kindergarten. The results of the study show: 1). The implementation of Character Education is adjusted based on each curriculum; 2). The role of the Teacher is to prepare a teaching implementation plan, conduct learning and then carry out learning evaluations, 3). Obstacles in the Implementation of Character Education Discipline, namely: a). Motivation and support from parents, b). The need for direct practice by teachers when at school and repetition from parents, c). Involvement of everyone at home; 4). Evaluation in the implementation of education in three time periods: daily evaluation, monthly evaluation and semester evaluation.

The Impact of Minimum Wage, Economic Growth, and Unemployment on Poverty Levels in Sumatera

Saut Martua Sihotang — 2025-01-24

This study analyzes the effect of minimum wage, economic growth, and unemployment rate on the poverty rate in Sumatra Island, Indonesia. The data used is panel data from 10 provinces in Sumatra during the period 2016-2023.The analysis was conducted using the Random Effects Model (REM) method with EViews 12 software. The findings indicate that the minimum wage variable exerts a significant negative influence on the poverty rate, while economic growth demonstrates no substantial effect. Conversely, the unemployment rate exhibits a significant negative impact on poverty.These observations align with the principles of the Wage Efficiency theory and the Social Security Theory, underscoring the significance of augmenting the minimum wage and implementing policies to manage unemployment in efforts to alleviate poverty. However, it is important to note that national economic growth has not been sufficient to meaningfully address the issue of poverty, underscoring the necessity for a more targeted strategy that focuses on enhancing accessibility to education, healthcare, and economic opportunities for disadvantaged populations.

Techniques for Detection of Trichothecene in Food: A Comprehensive Review

Sadia Iqbal — 2025-01-28

Trichothecenes, pose significant health risks to humans and animals by contaminating food and feed. These toxins are classified into Type A and Type B. Type A trichothecenes are commonly detected in various food matrices, while Type B trichothecenes contaminate crops and are linked to alimentary toxicities, including emetic reactions. Advanced detection methods such as liquid chromatography-tandem mass spectrometry are widely used. Biological controls, such as Debaryomyces hansenii, have shown promise, reducing toxin content and suppressing pathogen spread. Trichothecenes exhibit ribotoxic, pro-inflammatory, and cytotoxic effects, making their management a critical focus in food safety. This review comprehensively explores detection techniques, management strategies, and the impact of trichothecene contamination on human health, emphasizing its relevance in public policy and food security.

Artificial Intelligence in Finance: Predictive Analytics, Fraud Detection, and Risk Management in 2024

Goutham Kacheru — 2025-01-28

AI is poised to be transformative across virtually all industries, and the financial sector has already experienced major impacts from AI in predictive analytics, fraud detection and risk management among others. This paper also describes the innovation of AI, machine learning and natural language processing (NLP) technologies and their availability in financial services in 2024. Its scope covers richer credit scoring models which harness predictive analytics to assess borrower performance, more sophisticated fraudulent activity detection frameworks that can identify suspicious transactions in real-time, and countless automated trading algorithms which can dynamically adapt to changing market behaviors. Moreover, Algorithms have also deployed in the way financial institutions are evaluating and handling second risk management; AIdriven Risk Management tools have been also there to facilitate decision making process for operational efficiency. We discuss these challenges, and also show how AI will be a crucial part of fundamentally transforming financial analysis from optimizing customer service interactions to stabilizing the economy.

Risk Factors for HIV and AIDS at the Harapan Health Center, East Sentani District, Jayapura Regency in 2023-2024

Winsi Almung — 2025-01-28

This study aims to determine the risk factors for HIV and AIDS incidence at the Harapan Health Center. Observational analytical research with a case control approach. The sampling technique uses purposive sampling. The population, namely all those who are tested for HIV and AIDS at the 2023-2024 Harapan Health Center, is 965 people with a sample size of 64 additional control cases. The results of bivariate analysis showed a significant relationship between the number of sexual partners (p-v=0.001, OR=21,211, 2,565-175,404) and STI history (p-v=0.000, OR=8,273, 2,622-26,100) with the incidence of HIV and AIDS. Meanwhile, it did not show a significant relationship between age variables (p-v=0.708, OR=1.970, 0.390 - 8.220), gender (p-v=0.439, OR=1.711, 0.616 - 4.769), educational history (p-v=1.000, OR=0.802, 0.218-2.954), marital status (p-v=0.799, OR=1.296, 0.477-3.524), employment status (p-v=0.075, OR=0.345, 0.122-0.974), and the incidence of HIV and AIDS at the Harapan Health Center.

Diffusion Analysis of Innovation in the Implementation of Hygiene Programs: A Case Study of the Bangkalan Initiative

Aulia Dawam — 2025-01-28

This study aims to analyze the process of diffusion of innovation in the implementation of hygiene programs in Bangkalan Regency, to understand how hygiene innovations are accepted and adopted by the local community as well as the challenges faced in the cleanliness program implemented by the Bangkalan Initiative Community, to find out how much influence the success and failure of diffusion of hygiene innovations, including public awareness, limitations of infrastructure, and participation in environmental cleanliness programs. This study uses a descriptive method with a qualitative research type. The types and sources of information used in this study are using 2 types, namely primary data and secondary data. Initial information obtained from the first source of information or field hands, then we obtained this secondary information based on observations from podcasts along with documentation on Bangkalan social media initiatives such as: YouTobe, Instagram, and Tik Tok. The results of the study show that although there are a number of efforts to increase public awareness and provide hygiene facilities, the low level of community participation and limited human resources (HR) are still the main obstacles. Therefore, a more interactive innovation diffusion strategy that involves direct community participation in each stage of the program is urgently needed to increase the effectiveness and reach the cleanliness program in Bangkalan. This study provides recommendations for improvements in the design and implementation of a more inclusive and sustainable hygiene program. The Bangkalan program initiative has a great impact in the field of cleanliness, especially the Bangkalan community. The first step in the process of diffusion of innovation in the Bangkalan cleanliness initiative is the role of education, especially educators, which is the main factor.

Analysis of Financial Management of Village-Owned Enterprises (BUMDes) Based on Government Regulation Number 11 of 2021 (Case Study in Niampak Village, Beo Selatan District, Talaud Islands Regency)

Maya Veronicha Maradesa — 2025-01-28

This research aims to determine the financial management of the Village-Owned Enterprise (BUMDes) Tinarangen in Niampak Village, South Beo District, Talaud Islands Regency. The research method used is qualitative with descriptive analysis. Data collection techniques are observation, interviews, and documentation. The data sources in this research are primary and secondary data. This research is guided by Government Regulation No. 11 of 2021 concerning Village-Owned Enterprises, wich seen from the process of planning, implementation, and accountability. The result of the research show that (1) Planning at BUMDes Tinarangen is discussed and agreed upon during village meetings; (2) Implemetation of BUMDes Tinarangen are carried out by the operational executor, where the in recording records BUMDes Treasurer only records cash expenditures in the daily cash book, while cash income are not recorded. The financial reports are prepared by the BUMDes supervisor due to the Treasurer's limitations in preparing financial reports; (3) The accountability of BUMDes Tinarangen, since it started operating until now has only been to the BUMDes Supervisor and is only verbal accountability.

The Effect of on the Job Training Experience and Motivation on Job Readiness of Diploma Three Cadets at the Indonesia Civil Pilot Academy of Banyuwangi

Naulia Anggraini — 2025-01-31

On the Job Training is a provision of knowledge through motivation that encourages mature work readiness. The purpose of the study is to see how API Banyuwangi three-year diploma programme cadets are prepared, especially motivation and job training. By distributing it to 26 samples of cadets and using SPSS 29 software. The collected data were subjected to validity test, reliability test, multiple regression analysis, hypothesis test, coefficient of determination analysis, and classical assumption test. The study found that On the Job Training is influenced by motivation, both separately and in combination have little effect on work preparation. That is, motivation and On the Job Training amounted to 8.7%, while other variables amounted to 91.3%. This study aims to support academics in improving job training programmes and to obtain more reliable results, it is recommended that future studies involve more people and collect larger sample sizes.

Holding Point and Holding Pattern Feasibility Test for Training and Initial Approach Procedure

Giga Valtian Zepa — 2025-01-31

Holding pattern is an aircraft maneuver to remain in the air within a certain period to delay movement. This research aims to ascertain whether the creation of certain holding points used specificially for holding patterns exercises. This research uses the Research & Development (RnD) method which involves the process of planning, technical design, and feasibility test using Cessna 172Sp aircrafts. The results showed that the holding point could be carried out at the coordinates of the holding point coordinates 8°20'59"S 114°08'48.8"E which was then named point "MEYDA". The feasibility test results show that two holding patterns can be used, namely Model 1 (inbound 150° and outbound 330°) and Model 2 (inbound 080° and outbound 260°).

Factors Shaping the Cognitive Dissonance of Online Consumers (Study of Fashion Products on Shopee in Indonesia)

Irwan Christanto Edy — 2025-01-31

The study aims to determine the influence of websites on emotion-mediated and cognitive dissonance and moderated lifestyle and gender. The research uses a quantitative approach. The novelty of research is cognitive dissonant behavior by examining its constituent factors. Respondents include the millennial generation who buy fashion products on Shopee. Purposive sampling method. The data collection technique uses a closed questionnaire. The data is statistically analyzed with SEMPLS. The findings of the analysis showed that cognitive dissonance was positively and significantly influenced by lifestyle. The implication of this research is that in online business, every marketer, especially fashion products, must understand the characteristics of the lifestyle that develops in society. Lifestyle is a very strong shaping factor in cognitive dissonance purchasing decisions.

Effect of SS316L Plate’s Surface Texture on Hydrogen Production of HHO Generator for Defence Application in Remote Locations

Michael Tulus Samuel Sinurat — 2025-01-31

The research aims to determine if surface texture of HHO generator’s electrode plate affect hydrogen production, and which of 4 tested surface textures gives the best performances. Electrolytes used is KOH with variation in concentration of 10, 20, 30, 40, 50, and 60 g/L. Testing is done by running the generator to produce 1 L of hydrogen, with the tested parameter being current, electrolytes temperatures, and time required. Data is measured in 2 waves: the first wave is 30 measurements with the generator always on, and the second wave is 30 measurements with the generator turned off for 10 seconds between measurements. The average, standard deviations, and correlation coefficients is compared to determine the best surface texture.

Nutrients in Matoa for Health and Exercise Performance: A Literature Study

Yohanis Manfred Mandosir — 2025-02-01

Matoa is an endemic plant in Indonesia that has great potential in the health sector. This study aims to examine the antioxidant potential of matoa through a narrative review approach. The literature search method was carried out on the Google Scholar and Research Gate databases with the keywords "matoa", "immunity", "health" and "exercise performance" limited to the last 10 years of publication. Of the 65 articles identified, 9 met the inclusion criteria for in-depth analysis. The results showed that matoa contained various bioactive compounds, especially phenolic groups that played a role in antioxidant, anti-inflammatory, cardiovascular and exercise performance. The use of matoa has been developed in various forms, ranging from health supplements to functional food products. This study also identifies the need for further research related to long-term safety evaluation and clinical validation to optimize the use of matoa in the health sector.

The Role of Social Media Usage and Knowlegde in the Banking Sector in South Jakarta

Andreas Wahyu Gunawan Putra — 2025-01-31

This study aims to analyze the effect of Work-related Social Media Usage, Social- related Social Media Usage and Knowledge Sharing on Employee Engagement on banking employees in South Jakarta. The independent variables are Work-related Social Media Usage and Social-related Social Media Usage. The intervening variable is Knowledge Sharing and the dependent variable is Employee Engagement. The research was conducted using purposive sampling method by taking samples using google form to employees who work in banking companies in South Jakarta. From the sampling, 157 samples were collected. Data analysing using AMOS applications with the Structural Equation Modeling (SEM) method. The results showed there was an influence on Work-related Social Media Usage, Social-related Social Media Usage and Knowledge Sharing on Employee Engagement to support employee performance. There is no indirect effect of Work-related Social Media Usage and Social-related Social Media Usage on Employee Engagement through Knowledge Sharing. This research provides practical implications in increasing employee engagement using working using social media tools.

The Effect of Capital Structure, Profitability, and Company Size on Stock Returns in the Energy Sector Listed on Bei for the 2019-2021 Period

Nike Aditia Pratiwi — 2025-01-31

The purpose of this quantitative research is to examine the relationship between energy sector stock returns listed on the bei from 2019 to 2021 and factors such as capital structure, profitability, and firm size. For the years 2019–2021, a total of 150 energy-related enterprises listed on the IDX make up the study population. We used SPSS for statistical testing after collecting data from energy sector businesses' financial statements, which are available on the IDX website (www.idx.co.id). The findings demonstrated that stock returns are positively and significantly impacted by capital structure, profitability, and firm size, both alone and together.

The Influence of Work Motivation, Organizational Commitment, and Job Satisfaction on Organizational Citizenship Behavior at the Yogyakarta Special Region Manpower and Transmigration Office

Galih Anisah Fatinabilah — 2025-01-31

The purpose of this research is to examine how the DIY Manpower and Transmigration Office's staff members' levels of job satisfaction, organisational commitment, and intrinsic motivation affect their OCB. The study's population included 85 workers selected using saturation sampling, and the research methodology was quantitative. The measuring tool used was a Likert scale. The results of the instrument tests demonstrate that the data is valid and trustworthy, distributed normally, and does not exhibit any signs of heteroscedasticity or multicollinearity. According to the study's results, an individual's level of job satisfaction significantly and positively affects their OCB, although work motivation and organisational commitment do not. At the same time, OCB is positively and significantly impacted by all three factors. This study's findings may help guide future studies and business initiatives aimed at enhancing organisational citizenship behaviour (OCB), which in turn impacts the success of organisations in reaching their objectives.

The Effect of Work Environment, Job Loyalty and Work Motivation on Organizational Citizenship Behavior at PDAM Bantul Regency

Eva Ayu Monica — 2025-01-31

The purpose of this quantitative research is to examine the relationship between organizational citizenship behavior (OCB) and PDAM Bantul Regency's work environment, employee loyalty to their employer, and overall work motivation. A total of sixty-one workers participated in the survey, and the results were evaluated utilizing SPSS and a Likert scale. There was a favorable and statistically significant relationship between OCB at PDAM Bantul Regency and three factors: work environment, work loyalty, and work motivation.

Classification of Autoimmune Diseases Using the K-Nearest Neighbors Algorithm

Resti Amalia — 2025-01-31

Autoimmune diseases occur when the immune system attacks the body’s own tissues, causing serious complications and overlapping symptoms that challenge early detection. This study reviews the use of the K-Nearest Neighbors (K-NN) algorithm for classifying autoimmune diseases through a systematic literature review of five articles. Compared to methods like Genetic Algorithms, Support Vector Machines (SVM), and Single Layer Perceptrons (SLP), K-NN shows high accuracy when optimal parameters and neighbor counts are used. However, challenges include sensitivity to imbalanced data and high computational demands for large datasets. Combining K-NN with optimization techniques, such as Genetic Algorithms, enhances accuracy and stability. The study concludes that K-NN is effective for classifying autoimmune diseases, especially with hybrid approaches, and recommends further research with larger datasets.

Strengthening Cyber Resilience through IoBT Best Practices: Future Applications

Mohadib Mohadib — 2025-01-31

In today's digital era, Internet of Battlefield Things (IoBT) security has become particularly important in ensuring the success of military operations and national security. Through systematic literature observations reviewing publications from 2015 to 2024, this research aims to identify and implement best practices for securing IoBT in state protection, explore potential study topics for future development, and suggest significant IoBT security research topics for researchers. The research results show that developing strong security standards, implementing effective cybersecurity, increasing security awareness, and training, and developing a curriculum are critical to securing IoBT. Additionally, this research also identifies research opportunities that can help implement effective IoBT security strategies and inspire the development of various training curricula. These recommendations will help implement the best IoBT security practices to enhance national security and inspire academic innovation.

Analysis and Implementation of Computer Network at PT XYZ to Improve the Efficiency of Interdepartmental Communication

Iscan Nul Akhyar — 2025-01-31

In the era of modern technology, the development of communication and computer networks plays an important role in supporting the efficiency and productivity of the company. This research was conducted at PT XYZ, which currently faces several obstacles in the available communication network. This research aims to design and analyze a more effective and efficient communication system and computer network to increase company productivity. The research method used is descriptive qualitative, with systematic steps in understanding empirical phenomena related to computer networks. The network design process is done through simulation using Cisco Packet Tracer, which allows testing the network topology before real implementation, thus reducing costs and risk of damage. The results show that the designed network design can overcome the existing communication constraints at PT XYZ. The simulation ensures that the network device configuration is running optimally, characterized by successful ping results and satisfactory connectivity testing. The use of Cisco Packet Tracer in this research helps in visualizing the network topology, simplifying analysis, and ensuring configuration according to company needs.

Analysis of the Influence of Work Culture and Work Environment on Employee Turnover Intention PT. ABC President Indonesia

Widia Astuti — 2025-01-31

The purpose of this research is to analyze how much influence between work culture and work environment on employees turnover intention at PT ABC President Indonesia, both partially and simultaneously. The used research method is a quantitative method. Data collection techniques used were observation, interviews and distributing questionnaires. Data analysis methods used were normality test, multicollinearity test, heteroscedasticity test, F test, T test, coefficient test of determination and multiple linear regression. Population 150 people with sample used was 60 people according to calculations using the Slovin formula with a tolerance error of 0,1 or 10%. Based on the results obtained that the work culture and work environment at PT ABC President Indonesia (ABCPI) could be said to be unfavorable and has much affect on turnover intention both partially and simultaneously. This is evidenced by the results of the T count 3,780 > t table 1,6720 for the influence of work culture on turnover intention, the result of T count 1,952 > t table 1,6720 for the influence of the work environment on turnover intention, and the F test 16,236 > F table 3,16. Also based on the results of coefficient test of determination, the value of R Square is 0,363 which means that work culture and work environment affected of turnover intention by 36.3%.

Classification of Lung Diseases Using the Desicison Tree Method

Sopiyan Apandi — 2025-01-31

This research develops a machine learning-based classification method to detect lung cancer early, with the aim of increasing the life expectancy of patients. Lung cancer diagnosis generally requires manual interpretation of CT (Computed Tomography) images, which is prone to human error and time consuming. The proposed method is the Genetic K-Nearest Neighbor (GKNN) algorithm, which combines the advantages of genetic algorithms in parameter optimization with the K-Nearest Neighbor (KNN) approach for classification. The dataset used comes from Kaggle, includes 309 entries with 16 features, and has gone through pre-processing to minimize noise and improve data quality. The GKNN model was compared with other algorithms such as Support Vector Machine (SVM), Random Forest, Artificial Neural Network (ANN), and Decision Tree. Results show that Decision Tree achieves the highest accuracy of 98.39%, while GKNN offers a reliable solution with 90% accuracy and a low false positive rate. The results of this study are expected to be a reference in the development of artificial intelligence-based systems for medical applications, supporting faster and more accurate clinical decision-making.

AIPowered Trust and Security: Enhancing ECommerce with Blockchain and Machine Learning

Nisher Ahmed — 2025-01-31

The ecommerce wave we saw over the years, not just added more opportunities, but added more challenges, especially in the area of trust and security. Fraud, data theft and a lack of transparency remain causes for concern for both businesses and consumers. This paper explores new possibilities of using blockchain and machine learning in designing a robust Artificial Intelligence (AI)based secure ecommerce ecosystem. The immutability of data, transparency, and decentralized control of blockchain act against counterfeit products, payment fraud, and integrity of supply chains. In parallel, machine learning algorithms provides realtime threat detection, predictive analytics, and personalized security measures to detect and counteract threats preemptively. The solution that is proposed leverages the benefits of these technologies to enhance trust among all parties involved, improve operational efficiency, and offer a more secure and trustworthy ecommerce environment. We address the underlying tech stack, realworld application, and next steps in leveraging the convergence of blockchain and ML technologies to transform ecommerce security for a clean and secure digital market.

Journal of Lupus Disease Classification Study Using Naïve Bayes Method

Teti Desyani — 2025-01-31

The chronic autoimmune illness known as systemic lupus erythematosus (SLE) is typified by tissue destruction in multiple organs and systemic inflammation. Diagnosing this condition might be difficult because of its varied and fluctuating clinical symptoms. The goal of this research is to use clinical and laboratory data to create a classification model for SLE diagnosis using the Naïve Bayes approach. Age, gender, clinical symptoms, and the outcomes of laboratory tests are among the information gathered for this study. This approach is crucial for helping with SLE management and early diagnosis. The Naïve Bayes model was used to assess and categorize these data according to the severity of the condition. The accuracy, precision, and recall measures were used in the study to evaluate the Naïve Bayes model. The outcomes demonstrated how well the Naïve Bayes algorithm can categorize SLE patients.

Use of Expert System in Determining Water Management in Agriculture with Methods: Fuzzy Logic and Rule-Based Decision Making

Saprudin Saprudin — 2025-01-31

This project aims to develop an expert system to support agricultural water management using Fuzzy Logic and Rule-Based Decision Making methods. This system is important for improving agricultural yields and environmental sustainability, especially with the increasing demand for food and the impacts of climate change. Data was taken from Kaggle, including information on soil conditions, temperature, and rainfall. Data processing includes missing value removal, outlier detection, and splitting the data into 80% training and 20% testing. Fuzzy Logic was chosen because it is able to handle data uncertainty and provide accurate output regarding crop water requirements, while Rule-Based Decision Making utilizes expert knowledge-based rules for decision making. Simulation results show that the Fuzzy Logic model provides recommendations for water needs according to actual conditions, with high responsiveness to soil moisture and temperature. The system is expected to be a tool to assist farmers in decision-making, increase agricultural productivity, and support water sustainability. This research contributes to the development of expert systems in agriculture and natural resource management based on modern technology.

The Influence of Workload and Compensation on Employee Performance with Job Satisfaction as a Mediation Variable (Case Research on PT. IT Infrastructure)

Sandi Perdian — 2025-01-31

This research is intended to investigate what factors cause employee performance, including: workload, compensation and job satisfaction. The research also intends to analyze the influence of workload and compensation on job satisfaction as well as analyze how job satisfaction can mediate the impact of workload and compensation on employee achievement. The research technique used is quantitative with SEM-PLS. The outcomes of the research are as follows: workload has a significant positive impact on employee performance ; compensation has a significant impact on employee performance; job satisfaction does not have a significant impact on employee performance; workload has a significant positive impact on job satisfaction; compensation has a positive and significant impact on job satisfaction; job satisfaction does not mediate the workload on employee performance; Job satisfaction does not mediate the impact of compensation on employee achievement.

Predictive Analysis of The National Defense Index (IBN) on National Resilience Using Classification and Regression Trees (CART) Method

Farah Mufida Qotrunnada — 2025-01-28

IBN (National Defense Index) is an important indicator in measuring public awareness and participation in maintaining the sovereignty and stability of the country. With the increasing complexity of challenges to national resilience, a predictive approach is needed to understand the relationship between IBN and other variables that influence national resilience. The CART method is used to identify patterns and determine significant variables that play a role in strengthening national resilience. Through this model, the study aims to provide deeper insight for the formulation of more effective policies in building strong national resilience. The results of the study were obtained by identifying factors that influence the National Defense Index (IBN). The results of this study are expected to be a consideration for the basis for strategic policies in achieving the great goal of Indonesia Emas 2045 as a strong, sovereign, and sustainable country.

Analysis of Learning Outcome Indicator Completion through Verification of Concept Maps and Mind Maps in the Discovery Learning Model

Muhammad Yunus — 2025-01-31

A less systematic conceptual understanding can hinder the completion of student learning outcomes. This study aims to compare the verification of concept maps and mind maps in improving student understanding in the Discovery Learning model. The method used is descriptive comparative, with two experimental groups each using concept maps and mind maps. The research process includes pretest, intervention with verification, posttest, and student reflection. Data collection was carried out through learning outcome tests, assessment rubrics, and observations. The results of the study showed that concept maps support more systematic understanding, while mind maps are more effective in developing flexibility of thinking. The verification process plays a role in correcting students' conceptual errors. These findings provide insight for educators to adjust learning methods to improve learning outcomes.

Comparison of Students' Chemistry Learning Outcomes through Verification of Concept Maps and Mind Maps in Discovery Model Learning

Army Auliah — 2025-01-31

Chemistry learning requires an understanding of complex abstract concepts. The Discovery Learning model has been applied to improve student understanding, but the verification stage in this model is often an obstacle in connecting the concepts found. This study compares the verification of concept maps and mind maps in improving student learning outcomes. The research method used is comparative descriptive, with two experimental groups each using concept maps and mind maps. The research instruments include learning outcome tests, assessment rubrics, and observations. The results showed that concept maps support systematic understanding more, while mind maps are more effective in developing flexibility of thinking. The verification process plays a role in correcting student misconceptions. These findings provide insight for educators to adjust learning methods to improve understanding of chemical concepts.