Open Journal System Universitas Mohammad Husni Thamrin
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Design of a Document Management System Application Using the Web-Based Rapid Application Development Method for Monitoring Perbal at Provincial Personnel Agencies in the Special Capital Region of Jakarta.
No full textImplementation of the activity reporting system for DKI Jakarta DPRD members is a system to facilitate the reporting of activities of DKI Jakarta DPRD members. The DKI Jakarta DPRD member activity reporting system has been widely used in companies with various technologies and systems. The author raised the problem with the DKI Jakarta DPRD Secretariat. There is no special program for storing data and making reports at the DKI Jakarta DPRD Secretariat. This activity is very important, increases efficiency, and determines its performance in terms of cost savings. Previously, data processing was carried out manually using Microsoft Excel and Word, by designing a computerized system using PHP and MySql applications, data on the activities of DKI Jakarta DPRD members had been stored in a database to simplify the process of daily activities. This research uses data collection methods by means of observation, interviews and literature study, namely by making direct observations on the objects under study and requesting the necessary data, as well as interviews or questions and answers with sources to complete the data and obtain the necessary information.The system designed is an information system for the activities of DKI Jakarta DPRD members which was created using PHP and MySQL. This system was created to be able to manage data on the activities of DKI Jakarta DPRD members and reports. The information system designed is expected to minimize the shortcomings of the system currently used so that work activities are more effective, efficient and controlled
Principal Component Analysis and Bacterial Foraging Optimization for Credit Scoring
No full textInformation technology in the current era is developing very quickly. Information systems themselves are found in various aspects of life, such as health, law, education and finance. With the improvement of information systems, systems can be created as considerations for making decisions or agreements. Credit scoring is a status that is usually held by banks or other financial institutions and contains data from debtors who have applied for credit at certain banks or financial institutions. There are many attributes in determining whether someone will get good credit or bad credit status. Therefore, a fast and accurate classification method is needed. This research proposes the use of Principal Component Analysis to reduce several attributes without reducing the attributes that are important or crucial in determining. This research also uses the Bacterial Foraging Optimization algorithm to optimize qualification results on the Support Vector Machine which uses 4 kernels, namely Linear, RBF, Polynomial and Sigmoid. The research results show that the Linear kernel accuracy which only uses Principal Component Analysis gets a value of 79%. Then optimized with Bacterial Foraging Optimization to get an accuracy of 81%. So the Bacterial Foraging Optimization algorithm increases accuracy by 2%. For RBF and Poly kernels, the accuracy is the same, namely 78%. For the Sigmoid kernel, it got the best results in Principal Component Analysis, namely getting an accuracy value of 80%
Besemah Language Translation Machine Model Based on Machine Learning with Recurrent Neural Network (RNN) Model Algorithm
No full textIndonesia consists of various tribes with their respective regional languages, one of which is the Besemah tribe in South Sumatra Province with its language culture, namely the Besemah Language. Until now, the Besemah Language is still used by the Besemah tribe, but over time the number of Besemah Language speakers has decreased, plus most of the wider community does not know what the Besemah Language is. Machine Learning is a part of artificial intelligence that is often used to solve various problems. Machine Learning involves the use of computers and mathematical algorithms that use data to make predictions in the future. Machine translation is a tool that can convert one language to another. This study aims to collect datasets in the form of sentences and words from the Besemah Language, then create a Besemah Language translation machine to Indonesian and vice versa. In the research conducted, the approach used is Experimental Research in Machine Learning. Experimental research in machine learning for language translation is a research approach that involves designing and implementing a series of experiments to test and validate the performance of the language translation model. In this study, Neural Machine Translation (NMT) technology was applied with the Recurrent Neural Network (RNN) approach. The results of the study showed that the val_accuracy value for the Besemah-Indonesian translation was 0.8469 and for Indonesia-Besemah was 0.8492, in the translation trial conducted using the RNN model, 100 epochs, batch size 64, and validation split of 0.2
Design of A Web-Based Community Administration Application Using the Agile Scrum Method in the Tanjung Lengkong RT Environment
No full textThe rapid development of information technology has brought significant changes to various aspects of life, including the community management system at the most basic level, namely the Neighborhood Association (RT). Ideally, this technological advancement can be utilized to improve service efficiency, data transparency, and more effective communication between RT administrators and their residents. However, in reality, many RTs still implement traditional administrative systems, such as manual recording, information delivery through physical flyers, and non-computerized mail services. This is something the author observed directly in the Tanjung Lengkong RT environment, where the still-manual administrative process often causes several obstacles. If conditions like this continue, it is feared that it will give rise to more complex social problems in the future, such as a lack of public trust in RT administrators, minimal participation in environmental programs, and the potential for delays in the distribution of aid or important information from the government. This study discusses the design of a web-based community administration application using the Agile Scrum method. The development focus is directed at the need for an efficient and structured RT management system. This study uses a qualitative descriptive approach to describe the system implementation process and user responses to the developed system. The final result is a prototype of an RT administration application that can be used to support the digitalization process of public services
Designing an Overtime Request Information System Using the SDLC Method at PT. Laju Omega Digital
No full textThe development of information technology has had a significant impact on human resource management, including the process of submitting overtime requests to employees. This process is crucial to ensure optimal productivity, especially in companies with many divisions and employees. PT. Laju Omega Digital still uses manual methods for recording overtime, which causes delays in the process, difficulties in tracking data, and a lack of transparency in overtime approvals. Therefore, a web-based system is needed that can automate and improve the efficiency of managing overtime requests. This study aims to design and develop a web-based information system that allows employees to submit overtime digitally, as well as facilitates admins in managing overtime request data. This system is built using the Laravel framework with a Bootstrap-based design to be more responsive and easy to use. The main features developed include a login system, an overtime request form, overtime verification and approval, and data recapitulation for further analysis. The research methods used include observation, interviews, and literature studies. System development is carried out using the System Development Life Cycle (SDLC) model, including needs analysis, system design, implementation, testing, and evaluation. The research results show that the developed system can improve the efficiency of overtime requests, reduce recording errors, and provide greater transparency in the approval process. With this system's implementation, PT. Laju Omega Digital can improve productivity and the quality of human resource management
The Influence of Salary, Allowances, and Driver Expenses on Total Current Period Profit at PT Bluebird TBK 2016-2023
No full textThis study aims to analyze the effect of salary, allowance, and driver's expenses on total current period profit at PT Bluebird Tbk during 2016 to 2023. PT Bluebird Tbk is one of the leading transportation companies in Indonesia engaged in the taxi service sector and other land transportation. With long operational experience, this company continues to strive to increase profitability and maintain business sustainability through various financial management strategies. One aspect that plays a role in the company's financial performance is labor costs, which include salaries, allowances, and driver's expenses. This component is an important part of the company's expenditure structure and has the potential to affect the net profit obtained each period. Labor costs are one of the main factors affecting a company's profitability, so understanding its impact is very important for financial management strategies. The analysis was carried out using the regression method on the company's historical data with the help of Microsoft Excel software. The results of the study showed that salary, allowance, and driver's expenses have a significant effect on total current period profit, with a p-value of 0.000000000862996. This finding indicates that the company has positive expectations about the expenditures made for labor. Based on these results, this study recommends that companies manage their workforce load optimally to increase profitability and ensure employee welfare is maintained
Exploration of Netizen Perspectives on the Implementation of the Core Tax Administration System: (A Netnographic Study)
No full textThe Directorate General of Taxes continues to carry out intensification and extensification in optimizing tax revenues. One of the intensification efforts applied by the Directorate General of Taxes in increasing tax revenues is through the implementation of the core tax administration system (CTAS) in optimizing the taxation system. In the current era of technological development, it has become a way for modern society to express opinions and convey their opinions on public policy issues, such as the coretax issue which has become a hot topic and even a trending topic in Indonesia. This study aims to identify and analyze netizen perceptions regarding the implementation of the core tax administration system in Indonesia. This study uses a qualitative approach with the netnography method. Data were collected through observation, interview, and documentation techniques on various digital platforms such as TikTok, Twitter, Instagram, and Facebook, by utilizing popular hashtags such as #coretax. Data analysis was carried out systematically using a qualitative analysis approach assisted by NVivo 15 software. The results of the study show that netizen perceptions of the implementation of the core tax administration system consist of pros and cons. Some netizens welcomed the digitalization steps as part of the modernization of tax administration, but not a few expressed concerns regarding the complexity of the system, increased workload, and the psychological impact experienced by tax officials. Therefore, the Directorate General of Taxes must evaluate the implementation of the coretax system to strengthen support for digital transformation in the taxation sector
The Influence of Capital Structure and Sales Growth on Profitability at PT Mayora Indah Tbk From 2017 to 2024
No full textIn the modern business world, companies are required to have strong and stable financial performance to maintain operational sustainability while winning market competition. Profitability is a key indicator that shows a company's ability to generate profits from its assets or capital. Therefore, an analysis of the factors that influence profitability is important to understand. One such internal factor is capital structure, which refers to the ratio between debt and equity in a company's financing. This st.udy aims to ana.lyze the effect of capital structure and sales growth on the profitability of PT Mayora Indah Tbk for the period 2017–2024. The method used is descriptive- verificative quanti.tative rese.arch with secondary data from financial reports. The analysis w.as co.ndu.cted using mul.tiple line.ar regr.ession and clas.sical assumption tests. The normality test results show that the data is normally distributed (Sig. 0.200 > 0.05), there is no multicollinearity (VIF 6.402), and there is no heteroscedasticity (Sig. > 0.05). The regression results show that capital structure has a positive and significant effect on profitability (coefficient 0.441; t count 7.652; Sig. 0.000). Sales growth also has a positive and significant effect (coefficient 0.408; t count 5.479; Sig. 0.000). Simultaneously, both variables h.ave a signif.icant eff.ect w.ith an F value of 530.047. The R Square value of 0.995 ind.icates that 99.5% of the va.riation in profitability is explained by these two variables. This study concludes th.at cap.ital stru.cture and sales growth play an important role in increasing company profitability
The Influence of the Level of Understanding and Socialization of Taxation on Student Compliance as Prospective Personal Taxpayers
No full textTaxes are a source of state revenue used to finance national development and government administration. Taxes can also be considered a mandatory contribution to the state, whether owed by individual or corporate taxpayers, and are legally enforceable. However, public awareness and compliance with taxation remains low in Indonesia. Prospective taxpayers, especially students, need to be educated about taxation so that when they enter the workforce and become prospective taxpayers, they can comply with tax obligations. This study aims to determine the effect of the level of understanding and tax socialization on students’ compliance as prospective individual taxpayers. The research subjects are focused on students of Universitas Bina Sarana Informatika (UBSI), Faculty of Economics and Business, Accounting Study Program, morning class. The research method used is a quantitative method with data collection techniques through questionnaires distributed to respondents. Each statement in the questionnaire is measured using a Likert scale to determine the respondents’ level of agreement with the variables studied. The results of the study indicate that both the level of tax understanding and tax socialization have a positive and significant effect on students’ compliance as prospective individual taxpayers, both partially and simultaneously. Thus, the higher the level of understanding and the intensity of tax socialization received by students, the higher their level of compliance with tax obligations
Analysis of the Influence of Debt to Asset Ratio (DAR) on Return on Assets (ROA) at PT Bank Central Asia Tbk for the 2020-2024 Period
No full textThis study aims to analyze the effect of the Debt to Asset Ratio (DAR) on Return on Assets (ROA) at PT Bank Central Asia Tbk during the 2020–2024 period. The research is motivated by the importance of maintaining a balance between funding structure and profitability performance, particularly during the post-pandemic economic recovery period. DAR is employed as a solvency indicator that reflects the proportion of assets financed by liabilities, while ROA serves as a key profitability indicator measuring management’s effectiveness in generating profits from total assets. This research adopts a quantitative associative approach and utilizes secondary data derived from the annual financial statements of PT Bank Central Asia Tbk over a five-year period. The data are analyzed using simple linear regression, supported by the coefficient of determination and partial significance testing (t-test) to assess the influence of the independent variable on the dependent variable. The results indicate that the Debt to Asset Ratio has a negative relationship with Return on Assets, suggesting that a decrease in leverage is associated with an improvement in asset profitability. The regression results reveal a negative DAR coefficient, confirming an inverse relationship between the two variables. Although the coefficient of determination indicates that DAR explains a substantial portion of ROA variation, the statistical test results show that the effect is not statistically significant due to the limited number of observations. Overall, the findings suggest that prudent capital structure management plays an important role in supporting the profitability performance of PT Bank Central Asia Tbk during the research period