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Digital transformation has become a strategic step for government institutions in improving administrative efficiency and the quality of public services. One crucial aspect of this process is the management of correspondence archives, which in many cases is still conducted manually, making it inefficient and prone to data inaccuracies. Based on observations and interviews, it was found that the archiving process at the Department of Manpower and Transmigration of Sumedang Regency is still performed manually using Excel spreadsheets, with an average of 15–30 letters processed per day or more than 700 archives per year. This study aims to design a digital letter archiving system using the Design Thinking method, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test, with the research focused up to the Prototype stage. The results indicate that the designed digital archiving system successfully accommodates user needs through a simple, structured, and easy-to-use interface. The final design, presented in the form of a Wireframe, includes several main pages: Login, Forgot Password, Dashboard, Incoming and Outgoing Archives, Add Archive Form, and Add Archive Menu. The application of Design Thinking has proven effective in producing a user-centered system design that supports the implementation of digital transformation within governmental administrative environments.

So the problem is whether the judge's consideration is based on the elements of a criminal act. carried out continuously in the decision is correct and appropriate and whether the conviction given by the judge in the decision is correct. The data was processed qualitatively, while the conclusion was drawn using deduction logic. Based on the judge's consideration that the testimony of the witnesses' testimony of the defendant, documentary instructions and the existence of evidence and facts were revealed at the trial.

This study aims to evaluate the risk management implemented at PT Pos Indonesia's using a qualitative approach based on literature review. Risk management is crucial for ensuring the continuity of operations, especially in the logistics sector, which faces numerous challenges. This study reviews literature on risk management in the logistics industry and evaluates its application at PT Pos Indonesia. The findings reveal that although several risk management strategies have been implemented, certain areas require improvement, particularly in operational risk mitigation and the use of technology. Recommendations include strengthening technological infrastructure and enhancing employee training on risk management awareness.

The State Civil Apparatus or commonly referred to as ASN has been in the spotlight lately, where the changes in the new laws and regulations greatly affect the two (2) management of ASN, which includes Civil Servants (PNS) and Employees Government with Work Agreement (PPPK). This study aims to find, examine and discuss in more detail related to the Amendment of Law Number 20 of 2023 concerning Civil Servants, more specifically related to the Rights of Civil Servants and PPPK which have been regulated in this Law. The research method used is the cutative descriptive method. This type of research is normative legal research, the source of data obtained by researchers is sourced from legal materials, journals, and literature that supports this research. The legal materials used are primary, secondary and tertiary legal materials, while the literature includes contemporary and classical books. Data obtained by researchers through legal materials, then read, examined, analyzed, and explained quantitatively using scientific logic.         The results showed that the granting of rights to Civil Servants and Government Employees with Work Agreements, was in accordance with their respective positions in the field of employment. However, the rights of the two management are dynamic and uncertain, because they are very dependent on changes in the laws and regulations ratified, so that there is a need for permanent regulations related to the rights of the two management, in order to fulfill the rights of each employee, which is in accordance with the Laws and Regulations.      

Guna mendukung proses pembelajaran sistem otomasi di sebuah lembaga pendidikan dibutuhkan sebuah alat peraga yang mudah dipelajari dan dimengerti oleh mahasiswa. Tujuan pembuatan alat peraga ini agar peserta didik mengetahui dan dapat mengimplementasikan proses kerja sistem otomasi di industri menggunakan media yang disimulasikan dalam bentuk alat peraga. Alat peraga yang digunakan adalah integrasi PLC-HMI pada aplikasi pengisian tangki air. Alat peraga dirangkai dengan  menggunakan PLC dan HMI merk Omron dengan software CX-Programmer dan NB-Designer. Rangkaian wiring alat peraga PLC-HMI disusun secara teratur dan sistematis agar mudah dibongkar pasang dan disesuaikan dengan diagram wiring oleh peserta didik. Program ladder pada software CX-Programmer didesain dengan menerapkan logika dasar, instruksi dan beberapa fungsi program yang sesuai dengan level kompetensi dasar pembelajaran PLC. Desain tampilan dan fungsi HMI dirancang menggunakan software NB-Designer yang diintegrasikan dengan program ladder, serta disesuaikan penggunaan alamat I/O nya. Wiring alat peraga berfungsi secara normal sehingga seluruh perangkat dapat terkoneksi dengan baik. Program ladder yang telah dirancang dapat berfungsi optimal dan tidak didapati error pada hasil kompilasi. Desain HMI dapat berfungsi secara efektif untuk monitoring proses maupun saat berfungsi sebagai programmable terminal. Secara keseluruhan hasil rancang bangun alat peraga simulasi sistem pengisian tangki air telah diuji coba dan berfungsi sesuai rancangan yang telah ditetapkan.

This study aims to conduct an empirical test on the effect of financial ratio there are liquidity, solvency, and activity ratios on the profit growth of transportation and logistics sector companies listed on the IDX in 2019-2023. The data collection method uses purposive sampling, namely based on certain criteria so that 21 companies and 105 data are obtained. Data testing uses structural model analysis techniques Sstructural Equation Modeling) with an analysis tool, namely SMART PLS version 3 in data processing. The results of this study indicate that the liquidity, solvency, and activity ratios do not affect the profit growth of transportation and logistics sector companies.

Structured and efficient inventory management is very important for cooperatives, which have special operational and logistical needs. This study aims to develop a web-based inventory system and also develop it into a mobile application that is able to support real-time stock and asset management, using Javascript, PHP, HTML, CSS, and implemented on the XAMPP platform with phpMyAdmin support. This system is designed to record and monitor goods accurately, optimize the flow of goods in and out, and provide automatic inventory reports. The waterfall approach is applied in the development of this system, starting from needs analysis, design, implementation, to testing. The results of the study show that this system has succeeded in increasing the accuracy of recording goods, accelerating the decision-making process through data-based reports, and reducing manual errors that often occur in inventory management. This system not only supports operational transparency, but also helps a cooperative in achieving logistical efficiency and resource optimization.

This study aims to find out how Debt Default, Audit Tenure and Liquidity can affect the acceptance of the Going Concern Audit Opinion (Empirical Study on Manufacturing Companies in Various Industrial Sectors listed on the IDX for the 2019-2022 period). The sample in this study is Manufacturing Companies in the Various Industrial Sectors using the Purposive Sampling technique so that 26 companies with 4 years of observation (104 observation data) were obtained that met the criteria. The data used is in the form of secondary data obtained from the company's annual report through the Indonesia Stock Exchange (IDX) website and the official website of the related company. Researchers use a quantitative approach to describe research problems through trend descriptions or being able to explain the relationship between variables. The analysis technique used in this study is data analysis using descriptive statistical analysis and logistic regression analysis with the help of SPSS 30 software.  The method of data collection is by means of documentation and literature study. The results of the study concluded that Debt Default significantly affected the acceptance of going concern audit opinions, while Tenure and Liquidity Audit did not significantly affect the acceptance of going concern audit opinions.

This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well as pagination when no data is available. These results highlight areas that need refinement to improve the application’s reliability and user experience. In summary, this research supports the advancement of a digital platform that enables F&B businesses to harness technology effectively in today’s competitive landscape.

The increasing demand for skilled human resources in the field of automation by the workforce has encouraged vocational education institutions to align their graduates' competencies with industry needs. Students must be equipped with up-to-date skills in line with technological advancements. Currently, the availability of technical expertise programs in vocational high schools (SMK) that include industrial automation curricula is very limited. This situation does not align with the growing industrial demand for SMK graduates with automation competencies, such as wiring and PLC programming skills. Based on these circumstances, this automation system training based on PLC was conducted as part of a community service program. The activity aimed to enhance the skillsets of vocational high school students, particularly in the machining engineering department. The training utilized PLC-based automation systems with Omron CP1E E30-DR-A controllers. The PLC logic programming was performed using CX-Programmer software. The results of the program showed that most participants could grasp the material well. Moreover, all participants gained new insights and skills in industrial automation systems, which serve as valuable support when entering the workforce.

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.

This quantitative study aims to discover the effect of the Process Oriented Guided Inquiry Learning (POGIL) learning strategy on students' science process skills concerning reaction rate material. The study employs a quasi-experimental design with a pre-posttest control group. The instrument used is a multiple-choice test to measure students' science process skills. The sample consists of all students in the XI IPA class at SMA Negeri 5 Gorontalo, totaling 45 students: 22 in the experimental group and 23 in the control group. Data analysis utilizes the Rasch Model and SPSS 16.0 for hypothesis testing using the Wilcoxon test. The analysis results show that the person reliability value is 0.00, indicating weak consistency in answering the questions, while the item reliability value is 0.71, suggesting that the quality of the test items is quite good. The mean difference in item scores from pre-test to post-test is greater in the experimental group (3.83 logit) compared to the control group (1.59 logit). Wilcoxon test results show significant values < 0.05, with the experimental group having a significant value of 0.00 and the control group at 0.00.

Pancasila, as the ideology of the Indonesian nation, plays a crucial role in guiding both individual and collective life. As a worldview rooted in the nation's cultural values, Pancasila reflects local wisdom, acknowledged for its truth, and serves as a foundation for maintaining consistency in thought and action amidst Indonesia's plural society. This article employs a qualitative research method with philosophical and sociological approaches, utilizing literature reviews and critical analysis of various sources related to ideology and national values. The findings reveal that Pancasila possesses unique characteristics distinguishing it from other ideologies, particularly its ability to accommodate diversity without disregarding universal values. All principles of Pancasila are proven to be logical, relevant, and applicable in addressing social, political, and economic challenges, thereby reinforcing its role as an ideal guide for the Indonesian people. These findings affirm Pancasila’s distinctiveness as a unifying ideology adaptable to the dynamics of the times.

The purpose of the study is to provide empirical evidence regarding the influence of Corporate Social Responsibility and Good Corporate Governance Disclosure on Company Reputation. This research was conducted on banking companies listed on the Indonesia Stock Exchange (IDX) in 2020-2022. The number of samples taken was 108 observational samples, the nonprobability sampling method, especially the sampling technique, namely purposive sampling. Data collection is carried out by documentation. The analysis technique used is logistic regression analysis technique with the help of SPSS software. The results of this study show that Corporate Social Responsibility Disclosure has a positive effect on the company's reputation and Good Corporate Governance has a positive effect on the company's reputation.

Incident fever bloody globally increasing​ sharp. Death consequence fever bleeding in Indonesia from 725 cases in 2020 increased to 1,227 cases in 2022. Study aiming analyze factor affecting​ DHF incidents in the work area Sako Health Center Palembang in 2024. Research conducted in March 2024. Research design quantitative with cross sectional approach. Population that is all KK in the work area Sako Health Center has 9,584 people. A sample of 99 people was taken use cluster random sampling technique with Single-Stage Cluster Sampling. Research results influence knowledge (p value 0.011), influence attitude (p value 0.351), influence behavior clean bathtub (p value 0.603), influence condition container (p value 1.000), influence existence larvae mosquitoes (p value 0.035), influence use wire gauze (p value 0.054) and influence role government (p value 0.095) against DHF incidents in the work area Sako Health Center, Palembang. Multiple logistic regression test results obtained knowledge (p value 0.001), existence larvae mosquitoes (p value 0.022), use wire gauze (p value 0.014) and role government (p value 0.028). There is influence knowledge and existence larvae mosquito to DHF incidents. The most dominant factor to the incidence of dengue fever is knowledge. Recommended For increase effort prevention of dengue fever with do action prevention in a way real and sustainable.

Background: Postpartum care is needed in the period after delivery to detect early problems or treat postpartum illnesses. More than 65% of maternal deaths occur during the first 42 days postpartum. This study aims to analyze the factors that influence postpartum visits in Indonesia. Method: The research uses quantitative research in the form of an analytical survey with a cross sectional design. Units. Results: Based on the results of logistic regression, predisposing factors that have the opportunity to influence complete postpartum visits are maternal age 20-35 years (OR 0.885), higher education (OR 1.167), parity ? 2 (OR 1.090), delivery by cesarean/vacuum/ forceps, etc. (OR 1.491), delivery in a health facility (OR 1.489), complete pregnancy check-up (OR 1.613), and regional Sumatra (OR 0.510). Enabling factors that have the opportunity to influence postpartum visits are unemployed status (OR 0.954) and having health insurance (OR 1.141). The need factor that has the opportunity to influence postpartum visits is having a history of pregnancy complications (OR 0.948). Conclusion: Factors that influence postpartum visits are maternal age, education, parity, method of delivery, place of delivery, prenatal check-up, regional residence, employment status, ownership of health insurance, and history of pregnancy complications.

This research aims to conduct empirical tests regarding the influence of financial distress, profitability, leverage, and liquidity on going concern statement in energy sector companies on the IDX in 2020-2023. This research uses 4 independent variables in the form of financial distress as measured by the Altman z-score, profitability as measured by return on assets, leverage as measured by the debt to asset ratio, and liquidity as measured by the current ratio. The dependent variable is a going concern statement with measurement using a dummy variable. The sampling technique used was a purposive sampling method which was based on certain criteria so that 53 companies were obtained and a total of 212 data. Data testing used logistic regression analysis and IBM SPSS Statistics version 26 software for data processing. The results of this study indicate that the variables of financial distress, profitability, leverage, and liquidity have a simultaneous effect on the going concern statement.

This research aims to understand the dynamics of rationality and emotions in the context of decision making in business. A literature study method is used by collecting literature from various sources related to rationality, emotions, and their interactions in business decision making. The results showed that business decision making needs a balanced approach between rationality and emotions. Rationality bases decisions on logical processes based on facts, through evaluating alternatives and choosing optimal options. Meanwhile, emotions play an important role through heuristics, motivation, perception, and evaluation. The implications for business practice are the importance of balancing rationality with emotions to make better and more sustainable decisions.

The student study period is one of the important aspects to measure the quality of a higher education institution. The length of the student study period can be assumed to come from internal factors and external factors, so it is necessary to conduct research that aims to identify and model the factors that affect the student study period. The method used in this research is logistic regression and the data used is primary data obtained from distributing questionnaires. The target of this research is aimed at alumni students from the Mathematics Study Programme of Udayana University from 2011 to 2019. In this study, the best model produced has a classification accuracy of 98.17% and the independent variables that have a significant effect on the study period are gender, tuition fees and interest in majors.

This research aims to analyze: (1) types of purchasing behavior of free-range chicken consumers in Kendari City, (2) factors that influence the purchasing decisions of free-range chicken consumers. The factors studied in this research are cultural, social, personal, psychological factors, chicken price, age and income. Determining the location of this research was carried out purposively. This research was conducted at the Wet Market (Mandonga Mall) Kendari City with the data used being primary and secondary data. This research used 35 respondents each who bought free-range chickens and those who did not buy free-range chickens taken using accidental sampling. The data analysis used in this research is engagement inventory design analysis and logistic regression analysis. The results of this research indicate that the type of consumer purchasing behavior is classified as a complex purchasing behavior type. This type of behavior has a high level of involvement in decision making to purchase free-range chicken and consumers are aware of the real differences between attributes. Factors that have a positive influence on consumer purchasing decisions are cultural, psychological and age variables. Variables that have a negative influence on purchasing decisions are social factors and income. Factors that have no influence are price and personal variables.