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This study aims to analyze the impact of government expenditure development and government budgeting on the social assistance recipients affected by floods. The research approach uses a quantitative method with a total of 50 respondents selected through sampling techniques. Data processing was conducted using SPSS software with various statistical tests, including validity test, reliability test, multiple linear regression, t-test, and F-test. The results show that the development of government expenditure has a significant impact on the condition of the social assistance recipients. Additionally, government budgeting also has a significant impact on the effectiveness of social assistance distribution after the disaster. Simultaneously, both variables have a strong influence on the social assistance recipients, as reflected by the significant F-test value and the coefficient of determination (R Square) of 0.518. This means that 51.8% of the variation in the condition of social assistance recipients can be explained by the development of government expenditure and government budgeting. These findings highlight the importance of appropriate expenditure and budgeting policies to enhance the effectiveness of social assistance distribution, especially in disaster situations.

The development of renewable energy, particularly Solar Power Plants (PV), requires a reliable, real-time, and easily accessible electrical energy monitoring system to ensure optimal system performance. This study aims to design and implement an Internet of Things (IoT)-based electrical energy monitoring system for PV using the NodeMCU ESP32 microcontroller, the PZEM-004T sensor for measuring electrical parameters, and the Node-RED platform as the data visualization interface. The developed system is designed to monitor voltage, current, power, energy, frequency, and power loss in real time, and then display the data in the form of numerical values, graphs, and indicators on a dashboard accessible through a local network. The research method includes hardware design, software development (sensor reading, data processing, and communication), integration with Node-RED, and system testing on a small-scale PV installation. The test results show that the system is capable of monitoring electrical parameters in a stable and responsive manner. Variations in sunlight intensity were found to affect the current and power produced by the solar panels, whereas the inverter output voltage tended to remain within normal operating ranges. The Node-RED dashboard display was considered informative and helpful for users in monitoring and analyzing PV performance. Based on these results, it can be concluded that the IoT-based electrical energy monitoring system designed in this study functions well and is feasible for application in residential or educational-scale PV installations. The system still has the potential for further development through cloud service integration, the addition of environmental sensors, and enhancements to data analysis features and user interface design.

Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence technology develops, deep learning methods have been widely used in classification processes due to their ability to process large amounts of data and recognize complex patterns. In this study, a Multilayer Perceptron (MLP) model is used to classify tourists' preferences between mountain or beach destinations based on a survey dataset. The research stages include data processing, data splitting using a train-test split, model training, and performance evaluation using accuracy, precision, recall, and F1-score. The test results show that the MLP model is capable of achieving an accuracy rate of 99%, confirming that deep learning methods are effective in automatically mapping tourism preference trends. This research is expected to serve as a basis for the development of more personalized travel destination recommendation systems, as well as to support tourism management in formulating targeted promotional strategies.

The Taman Candi is included in the category of active green open space (GOS). Based on this, it is necessary to carry out good maintenance aimed at maintaining the quality of facilities, both softscape and hardscape in the park. Maintenance in Taman Candi Ngawi Regency refers to the park maintenance standards by Arifin and Arifin (2005). Data processing was carried out using a quantitative method, namely using a work capacity calculation formula, aimed at measuring the suitability of work and worker effectiveness from the maintenance of the Taman Candi Ngawi Regency. The management of the Taman Candi in Ngawi Regency does not have a written maintenance schedule, so maintenance activities are carried out flexibly or according to the conditions in the field, and there are several activities that have not been carried out, the results show that there is still work that is not ideal from the work capacity and exceeds the ideal value in accordance with the standard of maintenance work capacity of Arifin and Arifin (2005). This is due to the lack of knowledge of workers about good and correct maintenance activities, the absence of a written schedule from the manager, and the lack of availability of tools.

The purpose of this study is to determine the effect of lecturer certification on the performance of lecturers at the Universitas Kristen Indonesia Toraja. This study uses a quantitative method with a multiple linear regression approach, and data processing was carried out using SPSS version 23. The data collection procedures included observation, interviews, questionnaires, and documentation. The study involved 56 respondents who were selected using simple random sampling with the Slovin formula. The results of the t-test showed that lecturer certification has a significant effect on lecturer performance. This was evidenced by the significance value of 0.000 (p < 0.05) and a t-value of 7.099, which is greater than the t-table value of 2.005. This means that lecturer certification (variable X) positively affects lecturer performance (variable Y). The conclusion of this study is that lecturer certification has a positive and significant impact on improving lecturer performance at Universitas Kristen Indonesia Toraja. This study recommends that the university pay attention to the importance of lecturer certification to support the improvement of teaching quality and lecturer performance in the future.

This study examines the implementation of digital health services via the Mobile JKN application at the Payung Sekaki Community Health Center in Pekanbaru City and explores factors affecting service effectiveness, especially complaints about long waiting times. Using a descriptive qualitative approach based on the Mobile Health Acceptance Model by Handayani et al. (2021), the study focuses on five constructs: ease of use, system availability, system responsiveness, health workers’ digital skills, and user trust. The results show that Mobile JKN has significantly simplified administrative processes, accelerated registration, and improved service efficiency at the health center. Effectiveness is supported by factors such as the application’s general ease of use, faster queue data processing, and adequate digital skills among staff. Users also show a high level of trust, though queue time estimation still needs improvement. Despite these benefits, complaints about long waits persist due to patients who register online but still queue manually and misunderstandings between Mobile JKN and e-Puskesmas queue numbers. Late patient arrivals also contribute to delays. Overall, Mobile JKN proves effective in enhancing digital health services, but further optimization is needed through better socialization of service procedures, accurate queue information, and improved system integration to maximize the advantages of digitalization.

This study aims to analyze the production process, marketing strategies, and environmental impacts of sugarcane brown sugar agroindustry at the household scale, using the Haeruddin enterprise located in Latellang Village, Patimpeng District, Bone Regency as a case study. A descriptive qualitative approach was employed, with data collected through in-depth interviews, participatory observation, and document analysis. The results show that the enterprise manages approximately 50 hectares of sugarcane land with productivity ranging from 30–60 tons per hectare, which is below the national average. The production capacity reaches 1–2 tons of sugarcane per day, producing approximately 1 ton of brown sugar daily, and involves local labor in cultivation and processing activities. Marketing is conducted through direct sales and local distributors, with prices ranging from IDR 8,000–10,000 per kilogram, without the use of digital promotion or modern retail channels. From an environmental perspective, the production process generates solid, liquid, and gaseous waste; however, solid waste in the form of bagasse is reused as fuel, while liquid waste and combustion residues are only partially managed. These findings indicate that while the enterprise contributes to employment and the local rural economy, improvements in production efficiency, marketing strategies, and environmental management are required to enhance competitiveness and sustainability. This study provides practical insights for the development of sustainable household-scale sugarcane brown sugar agroindustries in rural areas.

Relational databases store information in interconnected tables and are widely used for data management and retrieval. However, in certain environments, the original values stored in a relational database cannot be exposed during data retrieval. This limitation creates a challenge because common encryption methods only transform data for storage and do not support mathematical operations needed for value matching. Partially Homomorphic Encryption is a cryptographic approach that allows specific mathematical operations to be performed directly on transformed data without restoring it to its original form. This study proposes the use of Partially Homomorphic Encryption to enable value-based data retrieval while keeping all stored values in their transformed form throughout the entire process. The method relies on homomorphic properties that allow mathematical comparison to be conducted on encrypted data, making the retrieval process possible without revealing the original values. The results show that this approach can perform data retrieval operations in a relational database while preserving the transformed structure of the stored data. The proposed method offers an alternative for environments that require data retrieval without exposing original values and demonstrates the potential of homomorphic techniques in supporting secure and functional data processing in relational database contexts.

This study aims to identify the influence of profitability, liquidity, and asset structure on the capital structure of pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange during the 2019–2023 period. The study spanned five years, from 2019 to 2023. Of the total 15 companies in the population, 7 companies were selected as samples using a purposive sampling method. The research data were sourced from annual financial reports accessed through the official IDX website. Data processing was carried out using multiple linear regression methods. Capital structure was measured using two indicators: the Debt to Equity Ratio (DER) and the Debt to Asset Ratio (DAR). The analysis results showed that profitability had no effect on these two capital structure indicators. Conversely, liquidity and asset structure were shown to influence both DER and DAR. This study provides insight into the factors influencing debt financing decisions in pharmaceutical companies and their implications for the company's financial stability.

This study aims to develop and implement a web-based Library Information System as a means to enhance literacy within the Kampoeng Baca Pelangi (KBP) Community. The system is designed to simplify library data management processes that were previously performed manually, including book cataloging, member registration, borrowing, returning, and the generation of operational reports. The development process follows the Waterfall method, starting from requirement analysis, system design, implementation, up to system testing. The results indicate that the system successfully meets the primary needs of the library administrators, based on feasibility testing involving internal KBP respondents. Evaluation through a Likert-scale questionnaire produced a score of 94%, indicating that the system falls into the “Highly Feasible” category for use. Features such as book data management, borrowing/return transaction processing, collection search, and report generation are proven to enhance the efficiency and accuracy of library operations.

Economic growth is the process of increasing a country's production capacity to generate goods and services over a specific period, reflecting the income and well-being of its people. This research aims to analyse the influence of labor, exchange rates, and exports on the Gross Domestic Product (GDP) of the manufacturing sector in Indonesia during the period 2010-2024. The method used is multiple linear regression analysis with the Ordinary Least Square (OLS) approach, using secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia (BI). The research results indicate that all three independent variables, namely labor, exchange rate, and exports, have a positive and significant impact on the GDP of the manufacturing sector, both partially and simultaneously. The coefficient of determination (Adjusted R2) value of 0.9633 indicates that 96.33% of the variation in industrial sector GDP can be explained by these three variables, while 3.76% is influenced by factors outside the model. This research confirms that increased labour productivity, exchange rate stability, and export growth play an important role in strengthening the performance of the manufacturing sector in Indonesia. Therefore, policies focused on improving the quality of human resources, strengthening export competitiveness, and ensuring macroeconomic stability are needed to support the sustainable and globally competitive growth of the manufacturing sector.

The distinctive markings on the fingers are known as biometrics. The fingerprint attendance method uses biometrics. Without developing a usable fingerprint tool, research on fingerprint attendance is restricted to processing attendance data. As a result, an Arduino-based fingerprint approach was used to construct an attendance tool. The education sector is where SMK Negeri 1 Indralaya Utara. The school's student attendance system is still operated manually. In this study, the system uses fingerprints and camera recording to track students' locations. Using an Arduino Mega as a microcontroller, this tool will display student attendance information on an LCD, save it on an SD card module, and send the ESP32CAM-generated photographs over Telegram. The literature review is the first step in the research process, followed by hardware and software design. Following completion, the tool is put through testing to evaluate its functionality. Each of the ten participants scanned their thumb and index finger. The thumb and index finger have an average of five tests, with a 0.28% mistake rate, depending on the number of trials. Each component's error percentage is less than 1% while still falling within the 5% tolerance limit. The image test results indicate two conditions: 20 cm and greater. The ESP32CAM will activate when we take a picture at a distance of 20 cm.

This community service program was carried out to strengthen the ability of lecturers, students, and practitioners in understanding the role of data and statistics as the foundation for constructing scientific arguments in quantitative research. The activity originated from the limited understanding of some participants regarding the correct logical flow of research, starting from problem formulation, hypothesis development, data processing, to drawing conclusions based on analytical results. Through case-based training and interactive discussions, participants were introduced to key concepts in research methodology, such as determining variables, sampling techniques, developing measurement instruments, and applying parametric and non-parametric statistics to test hypotheses. The training emphasized that data provide factual descriptions of a phenomenon, while statistics serve as analytical tools that answer research questions objectively. The activity was conducted online with 73 participants from Universitas Pancasakti Bekasi, representing various academic backgrounds. The results indicated an improvement in participants' ability to understand statistical outputs, interpret significance levels of tests, and prepare research conclusions in a logical and structured manner. In addition, the activity contributed to enhancing methodological literacy within the academic community, encouraging a strong research culture, and maximizing the use of statistics in scientific analysis as well as professional practice. Therefore, this program has a positive impact on improving the quality of research in higher education.

This study aims to see the effect of Debt to Equity Ratio (DER) and Return on Assets (ROA) on Stock Price in PT. Wilmar Cahaya Indonesia, Tbk which is listed on the IDX during the period 2015–2022. The data used in this study is in the form of the company's annual financial statements obtained through secondary sources. This study uses a quantitative approach with multiple linear regression analysis methods, while data processing is carried out using the SPSS application. The results of the study show that partially the Debt to Equity Ratio (DER) variable has a negative effect on the Share Price, while the Return on Assets (ROA) does not have a positive effect on the company's Share Price. However, the results of the simultaneous test show that DER and ROA together have a positive and significant influence on the Stock Price. These findings provide an idea that the combination of capital structure and profitability remains an important indicator in assessing the performance of a company's shares even though their partial relationships show different tendencies. In addition, this research can be a reference for investors in considering the company's fundamental condition before making investment decisions, as well as provide additional insights for management in managing the capital structure more optimally.

This research aims to determine the effect of learning using the Problem Based Learning model assisted by the Powtoon application on the learning outcomes of Class XI Madrasah Aliyah at the Islamic Education Park (TPI) Sawit Seberang. This research is a type of quantitative research with a Quasy Experimental Design. The research population was 36 students in class XI MIA A and 36 students in class XI MIA B, 36 students in class XI MIA C and 36 students in class, and X MIA C totaling 36 people as the control class. The instrument in this research is in the form of a test in the form of 30 multiple choice questions. Data analysis of student learning outcomes using the t-test formula, also with the help of SPSS version 25 data processing. Data analysis of student learning outcomes with the results of calculating the average learning outcomes shows that the experimental class which uses the Problem Based Learning models is higher than the control class. The prerequisite test is proven that the data is normally distributed and homogeneous. The results of the test calculation were obtained under count worth 9.709 and table worth 1.668 so that it shows tcount > table so Ha2 is accepted. The conclusions in this research explain that there are influences and differences before and after the implementation of the Problem Based Learning model on student learning outcomes in class XI Madrasah Aliyah at the Islamic Education Park (TPI) Sawit Seberang.

Under the umbrella of PT. Waruna Nusa Sentana Group, PT. Multi Jaya Samudera Belawan operates in the shipping and ship agency services sectors. The aim of this paper is to analyze the management of the Minimum Safe Manning Certificate (MSM) for the MT. Mumbai vessel through the SIMKAPEL application by PT. Multi Jaya Samudera Belawan. This certificate is crucial as it determines the minimum number and qualifications of crew members required to comply with international safety regulations. This study uses two methods: field research, which involves direct observation of the administrative process, and library research, which reviews relevant literature and regulations. The results of the study show that the use of the SIMKAPEL application accelerates the document processing, improves data accuracy, and reduces administrative errors. The implementation of this digital system also enhances service transparency and facilitates system integration. Overall, SIMKAPEL has proven to be effective in streamlining the issuance of the Minimum Safe Manning Certificate and ensuring the MT. Mumbai vessel's operational compliance with maritime safety standards. Thus, SIMKAPEL plays a vital role in supporting administrative efficiency and operational safety of the vessel.

This study describes the development of a web-based Archival Information System aimed at improving the efficiency and accuracy of managing incoming and outgoing correspondence at the Teluk Nibung Sub-District Office in Tanjungbalai City. The system enhances administrative workflows by digitizing key processes, including the receipt, verification, recording, and archiving of incoming letters, as well as the preparation and distribution of outgoing letters. Management of incoming and outgoing documents is handled separately to ensure systematic processing and to reduce errors commonly found in manual administration. Developed using web-based technologies and supported by a MySQL database, the system enables flexible access, automated data storage, and faster document retrieval. The implementation results indicate notable improvements in administrative performance, such as quicker processing times, reduced reliance on paper-based archives, and improved data security. Overall, the system supports the modernization of public sector administration and contributes to more effective, reliable, and sustainable archival management practices at the sub-district office level.

Language processing disorders are disorders that arise when someone is under mental stress or experiencing deep emotional trauma. This study aims to analyze the various types of language processing disorders experienced by the character Tari in the film "Bolehkah Sekali Saja Aku Menangis" (May I Cry Once) and to determine the relationship between the character's emotional state and the linguistic symptoms that appear. This study uses a qualitative approach with a naturalistic approach and analytical descriptive methods, where data are collected through observation and recording of dialogues in the film that show signs of language disorders. Samples were taken purposively based on statements that indicate irregularities in sentence structure, long pauses, repetitions, or inappropriate word choices. This analysis compares the results of the study with existing psycholinguistic theories regarding how language processing works and the influence of trauma on speech production. The findings of this study indicate four main types of language processing disorders experienced by the character Tari: unfinished sentences, long pauses, repetitions of words or phrases, and inaccuracies in word choice. These types of disorders are more apparent when the character experiences high emotional stress and when interacting with family members related to her trauma.  The results of this study support the theory that emotional trauma can disrupt verbal working memory function and speech planning processes, ultimately impeding communication skills.

This study ims to analyze the implementation of a real-time inventory management system, identify challenges in the current inventory process, and provide appropriate solutions. Based on observations, inventory data management at PT. Tirta Investama still relies on manual and semi-computerized methods, resulting in inventory discrepancies, delays in information updates, difficulties in real-time monitoring, and inefficiencies in report generation and distribution processes. This research employed Library Research and Field Research methods. The system involves two user roles, namely Supervisors and Checkers. Supervisors are responsible for managing products, incoming and outgoing goods, transactions, and user accounts, while Checkers verify document consistency for goods processing activities. The system was developed using PHP Native and MariaDB version 10.4.27. The implementation of this system is expected to improve inventory monitoring in real time, enhance data accuracy, minimize recording errors, support faster decision-making in procurement and distribution activities, and facilitate more efficient report generation.

This study analyzes the potential of leading sectors in five cities in Aceh Province: Sabang, Banda Aceh, Lhokseumawe, Langsa, and Subulussalam using the Location Quotient (LQ) method. This method is used to identify basic sectors that have comparative advantages and play a role as the main drivers of the regional economy. The data used are secondary data on GRDP by business field from BPS. The results of the study show that each city has different leading sectors according to the characteristics of its region: Sabang excels in the tourism and service sectors; Banda Aceh in the modern service sector such as transportation, finance, and energy; Lhokseumawe in the processing industry and trade; Langsa in the service, trade, and transportation sectors; and Subulussalam in the agricultural and MSME sectors. This study emphasizes the need for the formulation of development policies based on local potential to encourage inclusive and sustainable economic growth in Aceh Province.