Publication Search

This research seeks to evaluate how asset and logistics management innovation enhances operational efficiency in the Household Division of the East Java Provincial Secretariat. The study focuses on the bureaucratic reform initiative aimed at attaining transparent, accountable, and effective asset management via digital transformation. The emphasis lies on how digital inventory systems, purchasing methods, and asset allocation aid in minimizing budget waste and improving efficiency. This research utilized a qualitative descriptive strategy through a case study technique. Data were gathered via extensive interviews, direct observation, and analysis of internal documents, subsequently undergoing data reduction and triangulation to confirm validity. The results indicate that the adoption of the e-inventory system has enhanced administrative efficiency by as much as 30%, but issues persist with data integration and employee digital skills. Additionally, the lack of a real-time public monitoring system restricts transparency in logistics management. The research advises enhancing employee training, creating cohesive SOPs, and adopting technology-driven assessment systems. These actions are anticipated to promote effective, efficient, and sustainable asset management in the East Java Provincial Secretariat.

Application of Multi-Layer Perceptron neural network to fault classification in high-voltage transmission lines is demonstrated in this paper. Different fault types on protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of Discrete Wavelet Transform energy features combined with zero sequence current magnitude as input features for neural network classifier. The proposed method uses eight extracted features to learn hidden relationship in fault signal patterns. Using proposed approach, fault detection and classification of all 11 fault types could be achieved with high accuracy. Improved performance is experienced once the neural network is trained sufficiently with 1188 fault samples, thus performing correctly when faced with different system conditions. Results of performance studies show that proposed neural network-based classifier achieves 96.18% average accuracy, which demonstrates that it can improve the performance of conventional fault classification algorithms, which in turn can provide more efficient solutions in the management and protection of high voltage electrical systems.

This study aims to analyze the efficiency of issuing tax invoices and reporting Value Added Tax (VAT) Periodic Tax Returns (SPT Masa PPN) by comparing the DJP Online system and the Coretax Administration System at CV XYZ. The research focuses on comparing the reporting process before and after the use of the Coretax digital system, as well as evaluating its direct impact on the efficiency of VAT reporting for Taxable Entrepreneurs (PKP). A descriptive qualitative method was used, with data collected through observation and documentation. The results show that prior to using Coretax, tax reporting was conducted through two separate applications, e-Faktur and e-SPT, which led to inefficiencies, input errors, and longer processing times. After the implementation of Coretax, the reporting process became more integrated, automated, and time-efficient. The system also supports digital document archiving and offers automatic validation and notifications, thereby reducing the risk of delays and reporting errors. Although technical issues such as internet dependency, system errors, and user adaptation remain, Coretax overall has a positive impact on improving tax administration efficiency and compliance at CV XYZ.

This research focuses on analyzing the performance of a vacuum pan automation sistem using solenoid valves at PT. Duta Sugar International as an effort to improve the efficiency and quality of refined sugar production. The vacuum pan is the main tool in the sugar crystallization process that functions to evaporate the sugar solution under low pressure. Problems faced in the manual sistem are temperature instability and high dependence on operators, which impact time inefficiency and decrease product quality. The purpose of this research is to design and analyze the implementation of an automatic control system based on a Distributed Control Sistem (DCS) with the integration of solenoid valve actuators to optimize temperature stability and cooking process efficiency. The research method was carried out using qualitative and quantitative approaches through direct observation, technical interviews with the automation team, and supporting literature studies. The results showed that the automatic system was able to maintain a stable cooking temperature in the range of 78°C–85°C, lower and more efficient than the manual system which fluctuates between 90°C–100°C. In addition, cooking time was reduced by 10–15 minutes per cycle, and the crystallization process became more uniform with more efficient energy consumption. The results showed that the implementation of DCS-based automatic control with solenoid valves significantly improved operational stability, productivity, and energy efficiency. Thus, this automation sistem proved to be an effective solution for optimizing vacuum pan performance in the modern sugar industry.

The use of information technology has become a non-negotiable necessity, as the availability of integrated information is increasingly crucial in supporting efforts to create efficient and competitive company/organizational systems. Good academic information system management is essential for providing services to those in need and resulting in improved performance in education delivery. Accuracy and precision in presenting information are important factors in managing information. From the results of the t-test calculation calculated using SPSS 20 partially, it was found that the t-value for the effectiveness variable was 3.819 and the convenience variable was 1.745 and the quality variable was 1.933 when compared with the t-table of 1.663, it was concluded that Ho was rejected and H1 was accepted, thus partially the independent variable influenced the dependent variable, namely student satisfaction. From the results of the F-test calculation, it was found that the F-count was 9.628> from the F-table, which was 2.48, and the significance level was 0.00, which was smaller than 0.05, and this meant that overall the independent variables had an effect on the dependent variable. From the results of the R test, it was found that the determinant coefficient was 0.599 and R2 was 0.359, this meant that the influence of the independent variables on the dependent variable was 35.9% and the remaining 64.1% was influenced by other variables that had not been studied.

Learning evaluation is an important element in the educational process because it allows us to determine the extent to which students have achieved their competencies and helps improve the quality of learning. Objective tests are considered relevant because they can measure students' thinking abilities efficiently and systematically. However, in PAI learning, there are challenges because what is assessed is not only knowledge, but also understanding, attitudes, and actions in religion. This study aims to analyze the application of objective test instruments in evaluating PAI learning at SMA Negeri 1 Jetis Bantul, including how teachers create questions, the difficulties they encounter, and the impact on students. This study uses a qualitative approach with interview, observation, and documentation techniques, then content analysis is used to analyze the results. The findings indicate that teachers have applied HOTS-based questions in accordance with the principles of the Merdeka Curriculum. However, students still have difficulty understanding long narrative questions, and objective instruments are not appropriate for assessing affective aspects. In general, students respond positively, but their learning style tends to be instant, relying solely on question outlines. To achieve holistic educational goals in line with the Pancasila Student Profile, continuous innovation is needed in the development of objective testing instruments that are capable of comprehensively measuring cognitive, affective, and psychomotor aspects.

This study aims to examine the integration of Artificial Intelligence (AI) and Canva as instructional media in elementary school learning, particularly at SDN 069 Mompang Julu, Indonesia. The research employed a qualitative approach with a field study design. The research subjects consisted of elementary school teachers and students, while data were collected through observation, interviews, and documentation. Data analysis was conducted through data reduction, data display, and conclusion drawing. The results indicate that the use of AI and Canva assists teachers in designing more creative, visual, and efficient learning media, as well as increasing students’ motivation and engagement in the learning process. The discussion reveals that the integration of these technologies creates a more adaptive and engaging learning experience; however, it still faces challenges related to teachers’ digital competence and technological infrastructure. The study concludes that the integration of AI and Canva has strong potential to improve the quality of elementary education when supported by continuous teacher training and adequate technological facilities.

This study aims to examine the role of Coretax as a digital innovation in reporting the Periodic Tax Return (SPT Masa) for Income Tax Article 21 (PPh 21), which has been nationally implemented since 2025. Coretax is an integrated tax administration system developed by the Directorate General of Taxes to combine the processes of electronic withholding tax slip (e-Bupot) creation, tax return reporting, and tax payment into one efficient and accurate online platform. The system simplifies reporting procedures, accelerates administrative processes, and enhances taxpayer compliance through real-time data integration and automatic validation. However, the implementation of Coretax faces challenges such as technical issues, intensive training needs for staff at Tax Service Offices, and limited digital literacy among taxpayers, especially micro, small, and medium enterprises (MSMEs). This study provides an overview of Coretax’s contribution to supporting the digital transformation of Indonesia’s tax system while identifying obstacles that must be addressed to ensure optimal system performance.

The Watu Kawula Health Center is one of the first level health service facilities that has an important role in providing health services to the community. However, in the implementation of administration, various obstacles are still found such as manual patient data recording, slow service data collection process, and difficulties in reporting and searching data. To overcome these problems, a computerized administrative information system is needed to improve efficiency and accuracy in data management.This research aims to design and build an integrated administrative information system at the Watu Kawula Health Center. The system development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The system is designed using the MySQL database and PHP programming language, and is accessed through a web-based interface.The results of the development of the system show that this administrative information system is able to speed up the process of recording patient data, medical services, and making routine reports. In addition, the system also makes it easier for administrative officers to manage information in a structured and systematic manner. With this system, it is hoped that administrative services at the Watu Kawula Health Center can run more effectively and efficiently.

Village infrastructure development plays an important role in improving community welfare. However, public opinion regarding the condition of infrastructure is often not analyzed comprehensively and based on data. This study aims to analyze public opinions toward infrastructure in Malitidari Village using the Unsupervised Learning method with the Orange application. The data were collected from public comments on social media and digital surveys, which were then processed in text format. The analysis process includes data preprocessing, tokenization, vectorization, and the application of a clustering algorithm to group opinions into several categories without prior labeling. The Orange application was used due to its ability to visualize data analysis workflows interactively and efficiently. The results of this study show that public opinions can be grouped into several main clusters: positive opinions related to the development of roads and public facilities, and negative opinions concerning delays and unequal quality of infrastructure. Based on these findings, the Unsupervised Learning method is proven effective in illustrating public perceptions of village infrastructure conditions. The results are expected to serve as a reference for the village government in planning and improving the quality of infrastructure development in Malitidari Village  

This research was conducted to systematically examine scientific evidence regarding the mechanisms and synergistic impacts of PGPR and intercropping on Water Use Efficiency (WUE) and Nutrient Use Efficiency (NUE) in drylands. The method used was a systematic literature study with a search for peer-reviewed articles and strict selection of research evaluating WUE and NUE parameters in intercropped crops and crops inoculated with PGPR. The results showed that intercropping systems can increase soil water retention, improve microclimate conditions, and optimize the utilization of space and nutrients between plant species. PGPR contributes to improving plant growth through nitrogen fixation mechanisms, phosphate dissolution, phytohormone production, and strengthening tolerance to drought stress. The synergy between these two approaches enhances the plant's ability to utilize water and nutrients more efficiently, thereby implying an increase in productivity and sustainability of dryland agricultural systems. These findings emphasize the need for verification through field trials, development of adaptive local PGPR isolates, and institutional and policy support to expand the application of this technology to drylands.

Dry packing with the principle of hibernation aims to suppress the metabolic processes of an organism so that it can survive under minimal environmental conditions. This study aims to determine the effectiveness of the dry packing method on the survival of freshwater crayfish (Cherax quadricarrinatus) tested with dry packing for 15, 20, and 25 hours. Before packing, the crayfish were ensured to be healthy and free from deformities. The packing was carried out using styrofoam lined with cardboard and filled with dried banana leaves, with a density of 20 crayfish of 10 cm size per package. The results showed that packing with dried banana leaves for 25 hours resulted in a 100% survival rate after packing, and the crayfish were able to become active again after 3 days. The dry packing method using dried banana leaves was proven effective in maintaining the survival of freshwater crayfish under live conditions during long packing durations. This study contributes to the development of efficient packing techniques for transporting freshwater crayfish alive.

In the digital era, business entities increasingly rely on computerized systems to manage financial activities efficiently. This study aims to design and develop a web-based financial reporting application for UD Jaya Abadi, a trading company located in Magetan Regency. The development process utilized the Rapid Application Development (RAD) methodology to ensure user involvement and rapid prototyping. Data were collected through observation and interviews with the business owner to identify problems in manual bookkeeping and report preparation. The resulting application automates financial processes including sales, purchases, journal entries, and financial reporting in accordance with SAK ETAP standards. System modules include master data management, transaction recording, and financial reporting such as income statements, balance sheets, and cash flow reports. Testing using the black box method confirmed that all system functions operated correctly. This web-based system enhances data accuracy, minimizes human error, and provides real-time access to financial information, significantly improving the efficiency of financial management at UD Jaya Abadi.

This study aims to assess extent to which leadership, communication, and competence influence employee performance at Point Coffee Medan. The research was motivated by field findings that indicated a decline in work quality, such as delays in task completion, miscommunication among employees, and a lack of capability in carrying out tasks effectively. These issues highlight the need for improvements in human resource aspects, particularly in leadership style, communication effectiveness, and employee competence. A quantitative research method with a descriptive approach was employed. Data were collected through questionnaires distributed to 38 employees of Point Coffee Medan. The research instruments were tested for validity and reliability, and the data were analyzed using multiple linear regression. The goal of the study was to determine both the partial and simultaneous effects of the three independent variables on employee performance. The analysis results indicate that leadership, communication, and competence have a positive and significant impact on performance, both individually and collectively. Effective leadership helps guide and motivate employees in completing their tasks. Clear and open communication fosters collaboration and a harmonious work environment. Meanwhile, strong competence enables employees to work more efficiently, accurately, and productively. In conclusion, the improvement of employee performance is strongly influenced by the leader's ability to manage the team, the quality of internal communication, and the mastery of work-related competencies. Therefore, the company is advised to enhance these three aspects as part of its human resource management strategy

This research, entitled “Implementation of a Web-Based Student Tuition Payment Information System at SMA Swasta Manda Elu,” aims to improve the efficiency of recording and managing students’ tuition fee payments. Previously, the tuition payment process was handled manually, which often led to recording errors, delays in reporting, and difficulties in retrieving student payment data. To address these issues, a web-based information system was developed to assist the school administration in recording, reporting, and monitoring tuition payments more effectively and efficiently. The development method used in this study is the Model View Controller (MVC) approach, which separates the system’s view, logic, and database layers to simplify system management and maintenance. The final result of this research is a web-based tuition payment application that runs properly, provides convenience for school administrative staff in recording transactions, and enhances the accuracy and speed of the school’s financial administration process at SMA Swasta Manda Elu.

This study examines the public communication strategy implemented by the broadcasting division of the Bogor City Communication and Informatics Office (Diskominfo) in producing and disseminating video content through social media as a means of public information and education. A descriptive qualitative approach was used, using observation, interviews, and document study techniques to gain an in-depth understanding of contextual communication practices. The results indicate that the public communication strategy was implemented through three main stages: pre-production, production, and post-production. In the pre-production stage, messages relevant to community needs were planned. The production stage focused on creating content that was informative, engaging, and easily understood by the audience, while the post-production stage included the dissemination and evaluation of message effectiveness. Challenges encountered included limited resources, technical issues, and sometimes suboptimal coordination between departments. However, these obstacles were overcome through teamwork, technical training, and more efficient equipment management. This study confirms that video content plays a strategic role in strengthening the relationship between the government and the community and encouraging transparency and public participation. Continuous evaluation based on audience feedback is recommended to improve the effectiveness of future communication.

This study aims to analyze the effect of blasting geometry on drilling and blasting costs in mining operations at PT Unggul Dinamika Utama, Kutai Timur Regency, East Kalimantan Province. The research focuses on comparing two operational areas, namely PIT Tempudo 6 and PIT East, which apply different blasting geometries: a burden of 7 m and spacing of 8 m at PIT Tempudo 6, and a burden of 8 m and spacing of 9 m at PIT East. The research method involved collecting primary data from actual field drilling and blasting activities, as well as secondary data from the company. The parameters analyzed included blasting geometry, explosive consumption, and operational costs of drilling and blasting. The results show that the total drilling cost at PIT Tempudo 6 was Rp. 215,689,696, while at PIT East it was Rp. 162,177,899. The total blasting cost at PIT Tempudo 6 reached Rp. 3,023,066,977.60, while at PIT East it was Rp. 1,780,839,602.80. Thus, the total operational cost of blasting activities at PIT Tempudo 6 amounted to Rp. 3,238,756,673.60, and at PIT East amounted to Rp. 1,943,017,501.80. It can be concluded that differences in blasting geometry significantly affect operational cost efficiency. Larger burden and spacing values lead to more efficient costs by reducing the number of drill holes and explosive consumption per blasted rock volume.

This study aims to analyze the effect of capital intensity, leverage, and company size on tax avoidance in property and real estate sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The research method used is an associative quantitative approach with secondary data obtained from corporate financial reports. The sample was selected using purposive sampling technique, resulting in 4 companies that met the criteria. The multiple linear regression analysis shows that partially, capital intensity and leverage have a significant positive effect on tax avoidance, while company size has a significant negative effect. Simultaneously, the three variables have a significant influence on tax avoidance. This study implies that companies should consider fixed asset investment strategies, financing structure, and firm size in managing their tax obligations efficiently and legally.

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.

In the digital era, the demand for practical and efficient security systems has significantly increased, particularly in the context of access control for restricted rooms or buildings. This research aims to develop an automatic door locking system utilizing an RFID card and a NodeMCU ESP32 microcontroller integrated with Internet of Things (IoT) technology through real-time notifications using the Telegram application. The system is designed to replace conventional locking methods that often present various weaknesses, such as key loss, physical duplication, and lack of remote access capabilities. The development method employed is the Research and Development (R&D) approach, consisting of needs analysis, system design, hardware and software implementation, followed by testing and evaluation. The main components used in the system include the RC522 RFID reader for user identification, Espressif manufactures the ESP-32 microcontroller, which is equipped with Wi-Fi and Bluetooth modules to enable wireless internet connections. NodeMCU ESP32 as the control center and internet connector, a relay module as an electronic switch, and a solenoid door lock as the actuator. The results show that the system is capable of accurately reading RFID card UIDs, granting access to registered cards, activating the solenoid to unlock the door, and sending access status notifications to Telegram in an average of less than three seconds. The system also effectively denies access to unregistered cards and sends warning messages accordingly. Therefore, this system enhances the security and efficiency of room access control and has the potential to be adopted as a prototype solution in the development of smart homes or modern access control systems.