Publication Search

The development of information technology has accelerated digitization in various sectors, including in the decision-making process. In the DayTrans Shuttle service, the selection of the best route is still done manually using Microsoft Excel. This process is time-consuming, inefficient, and has the potential to cause errors and subjectivity. The purpose of this study is to design and develop a web-based decision support system by applying the Weighted Product (WP) method to determine the most optimal shuttle route objectively and efficiently. The research data was obtained through interviews, observations, and literature studies, then analyzed according to system requirements. The development was carried out through the stages of requirements analysis, database and interface design, implementation, and testing. The developed system is equipped with features for managing criteria data, alternative routes, weight calculations, and real-time presentation of recommendation results. The research results show that the system functions well, is able to speed up the route selection process, and produces accurate and transparent recommendations. Thus, this system is expected to improve DayTrans' operational efficiency while supporting the quality of inter-city transportation services.

This study aims to analyze the effectiveness of online and offline marketing strategies in increasing used car sales at Yuna Mobil Showroom Rantau Prapat. The research background is based on the rapid development of information technology and digitalization, which encourage businesses to combine conventional and digital marketing strategies to reach a wider range of consumers. This research employed a descriptive qualitative method with data collection techniques including observation, in-depth interviews, documentation, and triangulation. The results indicate that online marketing plays a significant role in building brand awareness, expanding market reach, and providing fast and efficient access to information through social media, marketplaces, and instant messaging applications. However, this strategy has not been fully effective in converting consumer interest into actual purchase decisions, as customers still require direct product experience. Conversely, offline marketing is proven to be more effective at the decision-making stage due to direct interaction, test drives, and higher consumer trust in the actual condition of used cars. Therefore, the effectiveness of marketing will be optimized if online and offline strategies are implemented in an integrated and complementary manner. This study provides practical contributions for automotive business players in designing marketing strategies aligned with local consumer characteristics, as well as academic contributions to the development of marketing management studies in the digital era.

Bus Rapid Transit (BRT) systems play a crucial role in providing efficient and sustainable urban mobility, yet service quality often faces challenges that lead to passenger dissatisfaction. This study focuses on BRT Trans Jateng Corridor 7, which has received a considerable number of complaints regarding service reliability, comfort, and punctuality. The main objective of this research is to improve passenger satisfaction by applying the Six Sigma methodology to identify, analyze, and reduce the root causes of service-related complaints. Using the DMAIC (Define, Measure, Analyze, Improve, Control) framework, data were collected through complaint reports, passenger surveys, and operational performance indicators. Statistical analysis and cause-effect diagrams were employed to pinpoint critical factors influencing complaints, including bus frequency, driver performance, ticketing efficiency, and infrastructure support. The findings indicate that the application of Six Sigma significantly reduced recurring complaints, particularly in the areas of schedule adherence and service responsiveness, leading to measurable improvements in overall passenger satisfaction. The synthesis of results demonstrates that structured quality management approaches such as Six Sigma can effectively enhance public transportation service quality by providing systematic solutions to operational problems. In conclusion, this research highlights the practical benefits of Six Sigma in improving service performance and reducing passenger complaints, offering valuable insights for policymakers and transportation operators seeking to strengthen the quality and sustainability of public transit systems.

Tinctori is a company focused on sustainable fashion products using natural dyes. Based on observations and interviews, Tinctori’s existing promotional media are still limited and have not effectively conveyed its sustainability values or modern fashion appeal. Therefore, a more engaging, informative, and accessible promotional medium is needed. This study aims to design a digital photobook as a marketing support medium for Tinctori’s products. The research uses a qualitative method with a linear strategy, consisting of problem identification, data collection, analysis, design, and testing stages. The result is an interactive e-book–based digital photobook that presents the company profile, production process, and product catalog of Tinctori. Based on the testing results, the media was considered attractive, communicative, and effective in conveying the brand message and increasing audience interest. This research is expected to serve as an example of efficient, eco-friendly digital media that supports sustainable fashion promotion in Indonesia.  

The use of buck converters as DC step-down voltage regulators is increasingly important in various power electronics applications. However, the quality of the output voltage is often disturbed by the presence of ripple, which is influenced by variations in the duty cycle. This study aims to analyze the effect of duty cycle variations on the output voltage and ripple of a buck converter using MATLAB/Simulink simulation. The method used is quantitative simulation by varying the duty cycle from 10% to 90% in a buck converter circuit with fixed parameters: input voltage 30 V, switching frequency 40 kHz, inductor 176.25 μH, and capacitor 44.33 μF. The simulation results show that the output voltage is proportional to the duty cycle, increasing from 3.245 V at D=10% to 26.82 V at D=90%. The highest ripple occurred at D=40% with a value of 0.07 V, while the lowest ripple was at D=50% with a value of 0.0003 V. These findings indicate the existence of an optimal operating point where the system works most stably. This study provides practical guidance in designing efficient and stable buck converters for applications such as battery charging and renewable energy systems.

PT Pos Logistik Indonesia (POSLOG) is a company that provides integrated logistics services across various sectors. One of the main commodities delivered regularly each year is rice from Bulog, which has a significant distribution volume. At present, PT Pos Logistik Indonesia – Branch Bandung still relies on third-party (vendor) transportation services, which leads to suboptimal company revenue and creates dependency on external parties. This study aims to conduct a comparative analysis of operational cost efficiency between the use of company-owned vehicles and rented vehicles. The analytical methods applied include Vehicle Operating Costs (VOC), Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP). The analysis results show that the cost of using vendor services amounts to IDR 710 per kilogram, while the cost of using company-owned vehicles is only IDR 284 per kilogram. Furthermore, the NPV value reached IDR 2,732,364,981, the IRR was 129.94%, and the Payback Period was 1 year and 9 months. Based on these findings, investing in company-owned vehicles is proven to be more efficient, economical, and feasible to improve profitability and ensure business sustainability.

The aim of this research is to see how the ability of village officials has an impact on the regional financial management system in Trimurjo Village, Central Lampung Regency. The involvement of the apparatus in question includes the knowledge, skills and attitudes needed to carry out their duties and responsibilities. This study is based on the theoretical framework of Spencer & Spencer (1993) and the principles of regional financial management according to Minister of Home Affairs Regulation No. 13 of 2006, emphasizes the importance of competency to ensure that village fund management runs well and efficiently. This research was conducted qualitatively, with data collected through interviews and literature study. The research results show that the competency of Trimurjo village officials in financial management still needs to be improved. The most significant factor is knowledge of the apparatus. This research proposes sustainable training and development to improve the quality of village financial management.

Financial management includes and effective practices in managing financial resources. Good financial management includes understanding financial goals, financial planning and budgeting to manage expenses and income. However, MSMEs still have low knowledge of managing financial. This service aims to distribute aid help assistance to street vendors so they can manage their finances efficiently and help determine financial goals.  Good financial management provides a strong foundation for achieving individual or family financial goals. The methods used are location surveys, socialization of financial management and evaluation. The impact from this devotion activity is to increase their understanding of how to effectively manage finances, including daily recording of expenses and income. Through this activity, MSME players' understanding and awareness of the importance of good financial management can be increased.

The internship program is designed to introduce students to the practical application of the theories and knowledge they have acquired during their studies in a real work environment. This activity was conducted at SMP Swasta Galih Agung, an educational institution under the Darularafah Raya Islamic Boarding School Foundation, which aims to develop pious, skilled, and technologically literate students with strong physical and intellectual abilities. At the beginning of the odd semester of the 2023–2024 academic year, the number of female students enrolled was 470, but by the end of the semester, it had decreased to 455, representing a 0.96% decline. The purpose of this study is to perform a ranking analysis for selecting the best teacher based on expertise and teaching performance. The research employs the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) method, combined with ROC (Rank Order Centroid) weighting and sensitivity analysis to measure the accuracy of ranking results. The findings show that the teacher with code T10 achieved the highest score of 0.521, followed by T7, T1, T2, T5, T11, T12, T8, T4, T9, T6, and T3, with the lowest score being 0.310. The lowest sensitivity value of 0 indicates the most optimal weighting result. The decision support system designed using questionnaires and Excel simplifies data input and assists the principal in making objective and efficient decisions.

Water is a basic, irreplaceable human need, so its management must be effective, efficient, and sustainable. The Tanarawa Village Government, through the Village-Owned Enterprise (BUMDes), manages the Regional Drinking Water Company (PDAM) to meet the community's clean water needs. However, various obstacles remain, ranging from suboptimal water quality, uneven distribution, and customer complaints. This situation raises questions about the extent to which service quality and complaints influence customer satisfaction at the Tanarawa Village PDAM, Waiblama District, Sikka Regency. This study aims to: (1) describe the service quality of the Tanarawa Village PDAM, (2) identify the types of complaints submitted by customers, and (3) analyze the influence of service quality and complaints on customer satisfaction. The research method used was a descriptive quantitative approach using a survey technique. Data were collected through questionnaires from 30 respondents who were customers of the Tanarawa Village PDAM. Data analysis included validity and reliability tests, multiple linear regression analysis, hypothesis testing, and coefficient of determination. The results of the study, based on descriptive analysis, indicate that service quality, complaints, and satisfaction are categorized as "Good," although there are still shortcomings in response speed, consistency of water distribution, and staff reliability. Customer complaints predominantly concern frequent interruptions in water flow, poor water quality, and slow response times, requiring improvement to Very Good. Statistical analysis of the effect of service quality on customer satisfaction shows a t_(count) > t_table = 3.325 > 1.99, concluding that service quality significantly influences customer satisfaction. Furthermore, statistical analysis of the effect of complaints on customer satisfaction also yielded a t_(count) > t_table = 3.917 > 1.99, concluding that customer complaints have a significant impact on satisfaction levels. Thus, this study confirms that consistent improvements in service quality and prompt and resolute complaint handling are important factors in increasing customer satisfaction. The results are expected to provide strategic input for the Tanarawa Village Water Company (PDAM) in improving its service system and strengthening relationships with the community.

This study aims to thoroughly examine the influence of menu variety, taste, and price on customers' purchasing decisions at CEZ-ROS Restaurant, located in Kediri Regency. Understanding these factors is crucial for the restaurant to enhance customer satisfaction and improve sales performance. The research employs a quantitative approach with an associative research type, designed to explore relationships between variables. The sampling technique used is accidental sampling, where respondents were selected based on convenience and their availability during the data collection period. This method allows for practical and efficient data gathering from actual restaurant customers. Data analysis involves several statistical tests to ensure accuracy and reliability. Initially, validity and reliability tests were conducted to confirm the suitability of the questionnaire. Then, multiple linear regression analysis was used to determine how menu variety, taste, and price individually and collectively influence purchasing decisions. Additionally, t-tests assessed the significance of each independent variable, while the F-test evaluated their simultaneous effect. The coefficient of determination (R²) provided insight into how much variation in purchasing decisions could be explained by these variables. The results indicate that menu variety, taste, and price significantly impact purchasing decisions both individually and together. Specifically, customers prefer restaurants offering a diverse menu, delicious food, and reasonable pricing. The F-test confirms the strong combined effect of these factors on consumer behavior. However, the coefficient of determination also suggests that while these variables are important, other external influences such as service quality, ambiance, and promotions may also affect purchasing decisions. Overall, this study highlights that CEZ-ROS Restaurant should focus on maintaining menu diversity, enhancing taste quality, and setting competitive prices to attract and retain customers effectively.

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

This study aims to analyze the implementation of assistance for issuing Business Identification Numbers (NIB) for Micro, Small, and Medium Enterprises (MSMEs) in Sukodadi District, Lamongan Regency. This assistance program is a government effort to support MSMEs in obtaining business legality regulated through the Online Single Submission (OSS) system. The method used in this study is a descriptive qualitative approach with data collection techniques through in-depth interviews, field observations, and document studies related to program implementation. The results show that NIB assistance has a positive impact on MSMEs' understanding and awareness of the importance of business legality, which was previously neglected. However, there are several obstacles in its implementation, including limited digital literacy among MSMEs and limited internet access in some areas, which hinder the NIB registration process through the OSS system. Furthermore, although assistance has been provided by local governments and related agencies, it is necessary to increase the frequency and quality of assistance to make the NIB registration process easier and more efficient for MSMEs. Therefore, a more intensive mentoring policy based on technology empowerment is urgently needed to support the sustainability of business legality among MSMEs in Sukodadi District.

This research aims to:1) To understand and analyze development of revenue, hotel tax and restaurant tax in North Tapanuli Utara from 2015-2023. 2) To understand and analyze the effectiveness, hotel tax, restaurant tax effectiveness, hotel tax efficiency, and restaurant tax efficiency in North Tapanuli Regency. This study uses time series data from 2015-2023, wihich is secondary data, to assess the efectiviness of hotel tax and restaurant tax revenue on local revenue (PAD) in North Tapanuli Regency. The data collection method used is library research, which utilizes literature or library materials as the primary data source. Quantitative descriptive analysis methods are used determine the develoment of PAD, tax development, restaurant tax development, hotel tax effectiveness, tax efficiency, and restaurant tax efficiency. The results of this study provide an overview of the development of PAD, development of hotel taxes, the development of restaurant taxes, the effectiveness of hotel tax revenue, restaurant taxes, hotel tax efficiency towards the original regional income (PAD) of North Tapanuli Utara Regency in 2015-2023. The average development of PAD in North Tapanuli regency is 10 percent, the average development of hotel taxes is 4 percent and the average development of restaurant taxes is 19 percent. The average effectiveness is 89 percent, which is classified as quite effective, the effectiveness of restaurant taxes reaches 91 percent which is classified as effective. The efficiency of hotel taxes is 5 percent which is classified as inefficient, while the efficiency of restaurant taxes is 107 percent which is classified as very efficient.

Technological advancements, particularly in microcontrollers and the Internet of Things (IoT), have brought significant changes to various aspects of life. Microcontrollers such as the ESP32, DS18B20 sensor, water pH sensor, and other supporting sensors enable the development of efficient automation systems. This research addresses issues related to the design and development of IoT devices for water quality monitoring, as well as the integration of these devices with web-based systems. The objective is to develop a device capable of monitoring water quality parameters such as pH, temperature, turbidity, dissolved materials, salinity projection, and dissolved oxygen projection, while providing automatic notifications under certain conditions. The development process applies the Agile methodology, which allows for rapid and adaptive iterations. Theoretically, this study contributes to improving understanding of IoT implementation and information systems, while practically, it provides a technological solution to support Koi fish farmers in monitoring and managing pond water quality. The expected outcome is a web-based water quality monitoring and management device for Koi ponds that can deliver real-time information and condition notifications, thereby reducing aquaculture risks and improving productivity.

This study focuses on analyzing the efficiency of water usage during ablution in mosques, aiming to identify the factors causing inefficiency and propose solutions aligned with sustainability and Islamic values. Ablution is essential for Muslim prayer, yet modern mosques often neglect water efficiency, leading to waste and high operational costs. A mixed-methods approach was employed, combining observations, water discharge measurements, and surveys from 35 congregants at an urban mosque. The results showed an average ablution water consumption of 2.47 liters per person, with significant variation, primarily due to faucet usage behaviors. The survey also revealed that 45.71% of participants viewed water use as inefficient, with mixed responses regarding the implementation of automatic faucets. These findings underscore that water conservation cannot be achieved solely through technical solutions like sensor faucets or water recycling systems. Instead, it requires integrating Islamic values and education to encourage behavioral change among mosque-goers. By promoting awareness and responsible water use, mosques can become role models in environmental conservation. This study highlights the importance of combining technical engineering solutions with spiritual values, contributing to a more sustainable and efficient use of resources in mosque facilities while adhering to Islamic principles.

This research aims to analyze the impact of implementing the International Safety Management (ISM) Code internal audit on the operational smoothness of the vessel MV. Martha Golden, managed by PT. Multi Jaya Samudera Belawan. The implementation of the ISM Code is a mandatory requirement regulated by Law No. 17 of 2008 concerning Shipping, designed to ensure safe ship operation and the prevention of marine pollution. The research methodology employed is field research (field research) through observation and the collection of direct operational data, complemented by a literature review (library research) to examine related regulations and theory. The findings demonstrate that the consistent execution of the ISM Code internal audit has a significant positive influence on improving the vessel's safety and operational integrity. This audit, carried out by the Designated Person Ashore (DPA), encompasses scheduling, conducting thorough inspections onboard, and reporting findings. Consistent auditing minimizes the risk of accidents at sea, enhances the compliance of all crew members with the applicable Safety Management Sistem (SMS), and ensures that the vessel operates safely and efficiently according to international standards. The study concludes that discipline in performing internal audits and the crew's adherence to SMS procedures are the primary keys to maintaining operational integrity. It is recommended that the company increase the frequency and quality of internal audits and crew training to ensure the vessel's safety and operational efficiency are consistently maintained.

This study investigates the relationship between business ethics and VAT implementation with the aim of assessing the combined effect of both on the financial performance of B2B companies. The main theories underlying this study are the Ability to Pay Theory, Stakeholder Theory, and Ratio Analysis Theory. The study uses a positive research philosophy approach and a quantitative case study design with a structured questionnaire involving 30 respondents from PT Bhinneka Mentari Dimensi or Bhinneka.Com, the oldest B2B e-Commerce company in Indonesia. Data analysis was conducted using SPSS using descriptive and inferential statistics. The results show that VAT implementation indirectly affects financial performance through business morality. This mediating role is associated with stakeholder theory and the ability to pay. The low direct effect of VAT is related to an efficient company structure, company size, and reliance on self-reported data. B2B companies should embed business ethics principles in their operations, with management implementing a framework to ensure accountability in tax reporting and practices. The originality of this study contributes to the literature by emphasizing the distinctive role of business ethics as a bridge in the relationship between VAT implementation and financial performance of B2B companies, shifting attention from general tax compliance to specific VAT mechanisms and incorporating ethical dimensions in financial analysis.

The development of information technology plays an important role in improving the quality of public services, including the processes of public complaints and grant submissions. Currently, these services at the Welfare Section of Situbondo Regency are still carried out manually, which often causes recurring problems such as delayed verification, lack of transparency in decision-making, and difficulties in data archiving and retrieval. These challenges not only slow down administrative processes but also reduce public trust in government services. Therefore, the design of a web-based information system is considered crucial to support the implementation of e-government and to ensure more effective, efficient, and accountable services. This study aims to design an integrated web-based information system that facilitates both public complaints and grant submissions within one platform. The research method applied is Object Oriented Analysis and Design (OOAD), which emphasizes systematic analysis and modeling using the Unified Modeling Language (UML). The analysis phase includes identifying system requirements, business process modeling, and defining functional and non-functional needs. The design phase produces various models such as business process design, input-output forms, application architecture using a three-tier structure, UML diagrams (use case, activity, class, and sequence diagrams), and database modeling. The results of this research are expected to provide a system design that improves the speed of service delivery, enhances transparency through real-time status tracking, reduces the risk of data loss by implementing digital archiving, and increases efficiency in the verification process. Overall, the proposed system design contributes to strengthening good governance practices in Situbondo Regency and serves as a reference for similar developments in other local government institutions.

This study aims to analyze various sustainable food processing innovations that contribute to improving public health in Indonesia. The research was conducted through a literature review of 13 scientific articles published between 2015 and 2025 that discussed aspects of nutritional innovation, environmentally friendly processing technology, social empowerment, and food waste management. The analysis results indicate that the use of local food ingredients such as moringa leaves, snakehead fish, and soybeans plays a significant role in improving nutritional literacy, preventing stunting, and strengthening family food security. Meanwhile, the application of appropriate technologies such as oil draining machines, energy-efficient dryers, and waste processing into organic fertilizer contributes to production efficiency and reduced environmental impact. Furthermore, social innovation through the empowerment of MSMEs and women's groups can strengthen the local economy and foster environmental awareness. Thus, the synergy between nutritional, technological, and social innovations forms the basis for developing a healthy and sustainable food system to support the achievement of SDGs 2 and 3 in Indonesia.