Jurnal Indonesia Sosial Teknologi (JIST)
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The Effect of Ceo Compensation, Ceo Managerial Ability, and Ceo Tenure on the Company's Financial Performance with Der as the Mediating Variable
Get PDFThe study aims to analyze whether CEO Compensation, CEO Managerial Ability, and CEO Tenure partially have a positive and significant influence on the Debt-to-Equity Ratio. Furthermore, to find out whether CEO Compensation, CEO Managerial ability, CEO tenure, and Debt-equity ratio have a significant and positive effect on the Return on Assets. The type of quantitative analysis method used in this study is path analysis using the help of statistic software Eviews version 12. The data used in the study is secondary data taken from the annual financial reports published on the Indonesia Stock Exchange website for 5 years (2018-2022) on 25 companies in the Consumer Non-Cyclicals sector that are listed in the BEI Period 2018 – 2022 So the amount of data on this study was 5x25 or 125 observation data. The results of this study show that (1) CEO Compensation has no positive effect on the Debt to Equity Ratio (2) CEO Managerial ability hurts debt to equity ratio (3) CEO Tenure has no negative impact on the debt-to-equity ratio (4) CEO Compensation does not have a positive influence on the Return on Assets (5) CEO Management Ability has not a positive impact on return on assets (6) CEO tenure has not had a positive effect upon the return on the assets (7) Debt on the Equity Ratio hurts returns on the Assets. (10) Debt to Equity Ratio does not mediate the influence of CEO Tenure on Return on Assets
Effect of Addition of Dramix 3D Steel Fiber on Compressive Strength and Tensile Strength in Hpc (High-Performance Concrete) Concrete
Get PDFConcrete material is one of the most widely used construction materials in Indonesia due to its high compressive strength and adaptability to various construction needs. Despite its benefits, concrete has limitations, notably its weakness in tension and tendency to crack under tensile stress. This research focuses on High-Performance Concrete (HPC) with compressive strength exceeding 80 MPa, reinforced with 3D Dramix steel fibers to enhance both compressive and tensile strength. The study aimed to evaluate the compressive strength and splitting tensile strength of HPC mixed with varying percentages (0%, 3%, 6%, and 9%) of Dramix 3D steel fibers. Additionally, the methodology involved microstructure analysis using Scanning Electron Microscopy (SEM) and mechanical testing on HPC samples cured at 7, 14, and 28 days. Results indicate that the compressive strength reached a maximum of 94.776 MPa, and tensile strength reached 6.599 MPa with a 9% fiber addition at 28 days, highlighting the material's potential application in high-performance structural elements. The findings suggest that 3D Dramix steel fibers significantly enhance the mechanical properties of HPC, making it a viable option for durable construction
The Effect of Tax Incentives, Tax Socialization, and Taxpayer Understanding on Annual Tax Return Reporting in Sampit City
Get PDFThis study aims to determine the influence of tax incentives, tax socialization, and taxpayer understanding on the reporting of Annual Tax Returns in Sampit City. The sample of this study is Taxpayers in Sampit City, Central Kalimantan with 300 respondents. The purposive sampling method is used related to sample selection. The type of quantitative data is used in this study. The results of this research are that there is no significant influence of tax incentives on the reporting of the Annual Tax Return, but tax socialization, and taxpayer understanding have an effect on the reporting of the Annual Tax Return, which means that the existence of tax incentives does not have a significant effect on increasing compliance in reporting the Annual Tax Return, while tax socialization, and taxpayer understanding have a significant effect on increasing compliance in reporting the Annual Tax Return. In conclusion, the implementation of tax incentive policies does not have a positive effect on the reporting of Annual Tax Returns. In this study, no significant positive influence was found between tax incentive policies on MSME Annual Tax Return Reporting. Although all respondents are taxpayers who have reported the Annual Tax Return and some answered that they are aware of the tax incentives, they generally still pay taxes according to the amount of tax they usually pay in the previous months
Application of Simple Additive Weighting (SAW) Method in Selecting the Best Employee Performance (Case Study: CV. Syntax Corporation Indonesia)
Get PDFThis study discusses the application of the Simple Additive Weighting (SAW) method in selecting the best employee performance at CV. Syntax Corporation Indonesia. The background of the problem involves challenges in assessing and selecting the best employees objectively amidst the many assessment criteria. The purpose of the study is to implement the SAW method to improve accuracy and objectivity in performance assessment. The method used is SAW with predetermined criteria, as well as weight calculations and data normalization. The results of the study indicate that the SAW method is effective in facilitating the eval_uation process and producing more accurate employee rankings based on relevant criteria. The results of this study indicate that the SAW method can identify employees with the best performance regularly and transparently. The application of this method produces employee rankings that are consistent with the eval_uation objectives and company needs. By using SAW, CV. Syntax Corporation Indonesia is able to improve the accuracy of the assessment and provide more objective decisions in selecting the best employees. This study suggests that the SAW method be applied more widely for performance-based decision making in other companies
Government Support, Trust, and UTAUT 2 in Willingness to Adopt & Pay Smart Home Indonesia
Get PDFSmart home is one of the Internet of Things (IoT) currently developing in Indonesia. The research examines the factors determining Willingness to Adopt and Willingness to Pay to use a Smart home in Indonesia. This study uses the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2), Government Support, and Trust to examine the relationship of influencing factors. Respondents from the study consisted of 353 people who already owned a house/place to live and did not have a smart home device, which was obtained from an online survey. Analysis of research data using Structural Equation Modeling (SEM) with the help of SMART PLS software. The research results show that Facilitating Conditions, Habit, Government Support, and Trust positively affect Willingness to Adopt Smart homes. Social Influence, Facilitating Conditions, Price Value, and Willingness to Adopt positively affect the Willingness to Pay for a Smart home. This research can provide insight into smart home development in Indonesia
Effect of Material on Lathe Rotation at HSS (High Speed Steel) M42 Tool Cutting Tool Wear Level
Get PDFIn an era where science and technology are rapidly developing, in the era of globalization it opens a wide door for every individual to embrace change. Human resources, being the pulse that pumps industrial life, must be proficient in mastering science and technology, being able to apply it in every step of the industry, and steel has become an important milestone in various sectors, from building construction to machine components. However, behind the glitter of this civilization, technical processes such as turning the HSS M42 chisel face its own challenges. At certain rpm cycles, the tool experiences an erratic level of wear, as evidenced by the difference between the initial and final weights as well as the difference in the initial and final lengths. In the HSS M42 tool turning attempt, the HSS M42 1200 type tool with a size of 3/8x3/8x4" and a rotation speed of 700, 900, and 1200 rpm, with a cutting depth of 1 mm and a feed rate of 0.09, almost encountered a weakness. Tools that wear out quickly, especially at 900 rpm, make turning results less satisfactory. However, there was a light at the end of the hallway. In the same process, the use of HSS tools with HSS M42 1200 type, dimensions of 3/8x3/8x4", was able to answer the challenge with more promising success. At 900 rpm rotation, the wear that occurs is more controlled, resulting in a workpiece with a satisfactory level of fineness, reaching N6 in the measurement of surface roughness. As if to be a symbol of struggle, HSS chisels are able to cut finer traces in the ocean of HSS M42 chisel
Analysis of the Influence of Capital Intensity, Inventory Turnover (ITO) and Return on Assets (RoA) on the Effective Tax Rate (Etr) with Institutional Ownership as a Moderating Variable
Get PDFThe aim of this research is to determine the effect of capital intensity, inventory turnover (ITO), and return on assets (ROA) on the effective tax rate (ETR) with institutional ownership as a moderating variable. This research uses secondary data in the form of financial reports that have been audited by auditors, where the data was obtained from the official website of the Indonesia Stock Exchange (IDX) at idx.co.id. The sampling technique used in this research is the purposive sampling method. The population in this research is property and real estate companies listed on the Indonesia Stock Exchange (IDX) in 2019-2021, totaling 9 companies. The sample used in this research was 41 companies with 123 observation data, taken based on certain criteria. This research is quantitative research with secondary data sources including the company's annual financial reports obtained through the website www.idx.co.id and the official website of each company. The method used to analyze the influence of independent variables on the dependent variable in this research is multiple linear regression analysis using SPSS 26. The results of the research show that Return on Assets and Inventory Turnover (ITO) have a positive and significant effect on the Effective Tax Rate, while Capital Intensity has a negative effect. but it is not significant to the Effective Tax Rate for property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) in 2019-2023. Institutional ownership can moderate the influence of Capital Intensity, Return on Assets, and Inventory Turnover (ITO) on the Effective Tax Rate in property and real estate sector companies listed on the Indonesia Stock Exchange (IDX)
Analysis of Improving the Quality of Outpatinent Service At Hospital X Through Triz Method (Theory of Inventive Problem Solving)
Get PDFThe aim of the research in this introduction is to analyze and improve the quality of outpatient services at Hospital X using the TRIZ (Theory of Inventive Problem Solving) method. This research seeks to find innovative solutions to improve the quality of hospital services using creative principles from TRIZ, which is expected to increase patient satisfaction and strengthen the hospital's credibility in the eyes of the public. This research also seeks to utilize the SERVQUAL model to identify gaps between customer expectations and perceptions of service quality, so that it can produce systematic and sustainable improvements in health services. Method of collecting data are primary data and secondary data. The gaps identified from the expectation and perception questionnaire in the hospital outpatient service include doctors not arriving as scheduled and waiting times in the outpatient pharmacy exceeding 60 minutes. Utilizing TRIZ inventive principles, such as 35 (Parameter Changes), 30 (Flexibility), 34 (Discarding and Recovering), and 2 (Taking Out), can enhance the timeliness of hospital outpatient services. By applying TRIZ inventive principles 10 (Preliminary Action), 19 (Periodic Action), 23 (Feedback), and 28 (Mechanics Substitution), the hospital can expedite outpatient pharmacy services. Implementing preliminary preparation, periodic action, feedback mechanisms, and technology will help reduce patient waiting times, improve efficiency, and ensure better service. These recommendations will be adjusted according to the actual conditions in the hospital. Future research can further investigate Lean management in outpatient pharmacy to identify and eliminate waste
Sentiment Analysis on Skincare Product Reviews Using Lexicon-Based and Comparison of SVM Kernel
Get PDFThe skincare industry has seen remarkable growth in recent years, fueled by increasing public awareness of skincare and beauty. As awareness of the importance of skincare grows, skincare products are becoming more popular. The skincare brands available on the market today are diverse. However, not all skincare products offer the same quality, and some are more suitable for specific skin types or concerns, depending on the ingredients used and product formulation. To help consumers understand skincare reviews, this study conducts sentiment analysis on skincare products, identifying whether reviews tend to be positive, negative, or neutral. The sentiment analysis utilizes a lexicon-based approach with comparisons of various SVM kernels, including linear, polynomial, RBF, and sigmoid. Additionally, this research applies the Term Frequency-Inverse Document Frequency (TF-IDF) for word weighting. The study results indicate that the best performance was achieved with the Sigmoid and Linear kernels when no oversampling technique was applied. The results for the linear kernel without balancing achieved 81.83% accuracy, 77.46% precision, 81.83% recall, and 79.53% F1 score. Meanwhile, the Sigmoid kernel yielded 81.83% accuracy, 77.39% precision, 81.83% recall, and 79.53% F1-score
Multi-Label Topic Classification on the Qur'an using the K-Nearest Neighbor and Latent Semantic Analysis Methods
Get PDFThe Qur'an, comprising over 80,000 words, 6,236 verses, and 114 surahs, presents a multifaceted and deeply significant text that demands a nuanced understanding of historical context, classical Arabic, and exegesis. To analyze and classify its content, various methodologies have been employed, including K-Nearest Neighbor (KNN) and Latent Semantic Analysis (LSA). This research investigates the effectiveness of combining KNN with LSA for multi-label topic classification of Qur'anic verses. The study reveals that KNN alone achieved a micro average F1-score of 0.49, demonstrating reliable performance particularly for topics such as "aqidah" (creed) and "worldly matters." When LSA was applied with 100 components, there was a decrease in performance, reflected by a drop in the micro average F1-score to 0.43 and an increase in Hamming loss to 0.1657. However, as the number of LSA components increased to 200 and 300, performance improved, with micro average F1-scores rising to 0.45 and 0.47, and Hamming loss values decreasing to 0.1507 and 0.1466, respectively. This indicates that while LSA can enhance KNN performance, optimal results are achieved with a higher number of component