Publication Search

This study aims to analyze the implementation of efficiency, effectiveness, and consistency in the Standard Operating Procedure for goods procurement in the purchasing department of The Oberoi Beach Resort, Bali. This research employed a descriptive qualitative approach, with data collected through semi-structured interviews, observation, and documentation. The informants included parties directly involved in procurement activities, namely the Purchasing Manager, Purchasing Supervisor, Purchasing Staff, Receiving Staff, and user departments. Data were analyzed through data reduction, data display, and conclusion drawing and verification. The findings show that the goods procurement SOP has been implemented in a structured manner through Purchase Requisition submission, document approval, Purchase Order issuance, supplier ordering, and goods inspection by the receiving department. The SOP is effective in supporting hotel operational needs and relatively consistent because control stages are maintained even under urgent requests. However, efficiency has not been fully optimized because administrative and approval processes still rely on a manual paper-based system. Other barriers include inventory data input errors, supplier stock limitations, customs constraints, and weather-related distribution disruptions. This study recommends the implementation of e-procurement, stronger interdepartmental coordination, improved inventory data accuracy, and supplier diversification.

This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

concern for pet owners. Consequently, cat owners seek equipment that can support and simplify their daily pet care activities. However, the busy schedules of many cat owners often make it difficult for them to provide consistent care, raising concerns about the neglect of their pets. To address this issue, this study developed an automatic cat feeding system for a cat enclosure using an experimental research method. The proposed system utilizes a load cell sensor, a Real-Time Clock (RTC), a servo motor, and an ATmega16 microcontroller. The load cell sensor is employed to determine the appropriate food portion based on the cat's nutritional requirements, while the RTC controls the feeding schedule by dispensing food twice a day at predetermined times. The experimental results demonstrate that the system was successfully implemented, with the load cell measurement exhibiting an error rate of 10.71% relative to the predefined set point. Furthermore, the servo motor effectively controlled the valve mechanism, achieving a maximum opening angle of 85 degrees. Overall, the developed system performed reliably and met the expected operational objectives..

This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.

The emergence of Internet of Things (IoT) technology has opened up considerable possibilities for automation systems aimed at enhancing energy efficiency in both home and office settings. This study focuses on the creation and deployment of an IoT-driven Smart Home system utilizing ESP32 for the automatic and manual supervision and regulation of electrical appliances within the Employee Dormitory of the Institute for Lecturer Performance Development (LPKD). The established system employs a Passive Infrared (PIR) sensor for detecting human presence and a Light Dependent Resistor (LDR) sensor to assess the intensity of light in the room. The data from these sensors is analyzed by the ESP32 microcontroller, which controls lights and fans automatically through relay modules based on the surrounding conditions. Furthermore, the system is linked to the Blynk application and the Telegram Bot API to enable remote operation and immediate notifications. The methodological approach taken in this research is Research and Development (R&D) employing a prototyping method. The assessment outcomes show that the system functions reliably, with success rates for sensor detection and appliance management exceeding 95%. The introduction of this system aims to boost electrical energy efficiency, improve user experience, and facilitate the adoption of IoT-centered smart facility management within the LPKD framework.

The tourism industry faced hyper-competition wherevisual identity became a vital asset, particularly ondigital platforms. Mbarep Tour and Travel struggledwith disintegrated visual management, resulting in alow engagement rate of 1.34 percent and significantinconsistencies in typography (70 percent). Thisresearch aimed to design an Integrated VisualIdentity System as a strategic solution for branddifferentiation. The Research and Developmentmethod was employed using a hybrid workflow thatintegrated CorelDRAW for vector precision, Geminiartificial intelligence for mascot three-dimensionalenhancement, and Canva for operational templates.The outcome was a comprehensive identity system,including refined logos, standardized typography,and a brand mascot, all codified in a GraphicStandard Manual. Post-implementation resultsshowed 100 percent effectiveness in resolving visualinconsistencies and increased the engagement rate to1.79 percent. This system successfully transformedthe brand into a more professional and competitiveentity.

Changes in labor regulations through the Job Creation Law have brought significant changes to the employment system in Indonesia, particularly in terms of labor flexibility. This study aims to analyze labor flexibility after the implementation of the Job Creation Law from the perspective of Human Resource Management (HRM). The research method used is a qualitative approach through a literature study with thematic analysis of 16 scientific journals, books, and regulations related to labor flexibility and strategic Human Resource Management (HRM) practices. The results show that labor flexibility has positive impacts on companies in improving operational efficiency, productivity, and adaptability to market changes. However, on the other hand, such flexibility also creates several challenges, including job uncertainty, decreased job security, and reduced protection for contract and outsourced workers. From the HRM perspective, companies are required to create a balance between business interests and labor protection in order to maintain harmonious industrial relations. This study is expected to provide a more comprehensive understanding of labor flexibility as part of human resource management strategies in the post-labor deregulation era in Indonesia.

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

This study aims to examine the implementation of Interpretation of Financial Accounting Standards (ISAK) 335 in the financial management of non-profit foundations in Tanah Datar Regency, particularly in Rambatan and Sungai Tarab Districts. The study employed a qualitative case study approach using semi-structured interviews with financial managers from four foundations: Yayasan SLB Az-Zahra, Yayasan Darul Ulum/Darul Hafazah, Yayasan Daarut Tahfidz Al-Sulaiman, and Yayasan Jabal Rahmah. Data were analyzed using thematic analysis to identify the level of ISAK 335 implementation and the factors affecting its adoption. The findings reveal that none of the foundations have implemented ISAK 335 in preparing their financial statements. The main obstacles include the limited availability of personnel with accounting expertise, simple bookkeeping practices focused only on cash inflows and outflows, inadequate understanding of accounting standards for non-profit entities, and dependence on a single source of operational funding. Consequently, the financial statements do not comply with applicable accounting standards, resulting in low levels of transparency, accountability, and financial information quality. This study recommends enhancing the capacity of financial managers through training, gradually adopting ISAK 335, utilizing digital bookkeeping systems, and diversifying funding sources to strengthen accountable financial governance and ensure organizational sustainability.

This study aims to analyze normatively and juridically whether students in private schools are entitled to free basic education based on the Constitutional Court Decision Number 3/PUU-XXII/2024. Prior to this decision, the phrase “without charging fees” in Article 34 paragraph (2) of Law Number 20 of 2003 on the National Education System was often interpreted narrowly, applying only to public schools. This interpretation created discrimination in access to education for students in private schools, particularly those from low-income families. This research employs a normative juridical method with a statute approach and case approach. Primary legal materials include the 1945 Constitution of the Republic of Indonesia, Law Number 20 of 2003 on the National Education System, and Constitutional Court Decision Number 3/PUU-XXII/2024. Secondary legal materials consist of relevant scholarly literature, books, and journals. The analysis reveals that the Constitutional Court declared Article 34 paragraph (2) of the National Education System Law conditionally unconstitutional. The phrase must be interpreted to mean that the Central and Regional Governments are obliged to guarantee the implementation of compulsory basic education without charging fees, both for educational units organized by the government (public schools) and by the community (private schools). Consequently, students in private schools have the right to obtain free basic education as a constitutional right. Private schools are still permitted to charge fees from financially capable parents, but they are obligated to provide financial relief or full fee waivers for students from economically disadvantaged families. This decision has significant juridical implications for national education financing policy, particularly the need to revise derivative regulations and allocate School Operational Assistance (BOS) and Regional BOS funds to eligible private schools. This study complements previous research, which was largely empirical and regional in scope, by providing a comprehensive national normative juridical analysis.

The Indonesian Archipelagic Sea Lane II (ALKI II) constitutes a strategic route stretching from the Sulawesi Sea to the Indian Ocean with trade values reaching USD 1.5 million daily and traversed by more than 36,773 vessels annually. The complexity of maritime security threats in this region has increasingly intensified following the relocation of the capital city to East Kalimantan, thereby demanding an effective decision support system to assist Indonesian Warship Commanders in making operational decisions that are rapid, accurate, and in accordance with applicable legal provisions. This research employs a qualitative approach through in-depth interviews with four maritime expert sources, with data analysis using NVivo 12 software. Analysis results identified maritime operational complexity and the urgent need for a comprehensive decision support system. These findings subsequently served as guidance in designing a Decision Support System (DSS) with a tab-based interface that integrates international legal frameworks such as UNCLOS 1982, Law No. 3/2025 on TNI, and related national regulations to generate structured action recommendations along with their legal foundations. Research findings demonstrate that the developed DSS successfully integrates operational, legal, and situational aspects to support decision-making that is rapid, accurate, and legally compliant. This system has proven to enhance the effectiveness of Indonesian Warship Commanders in addressing the complexity of maritime security (KAMLA) challenges in ALKI II through the provision of legally-based action recommendations from national and international frameworks accessible in realtime during operational situations.  

As a maritime nation with vast sea territories, Indonesia faces significant challenges in safeguarding its waters, particularly in strategic regions such as the Natuna Sea. This area is vulnerable to various threats, including territorial violations, marine resource theft, and illegal underwater activities. This study aims to formulate a concept for the utilization of Autonomous Underwater Vehicles (AUVs) as an alternative solution to enhance underwater security systems in the region. The method employed is Research and Development (R&D), adopting model development steps and complemented by a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis to assess the feasibility and effectiveness of AUVs in the context of Indonesian maritime defense. The research findings indicate that the main strength of AUVs lies in their technological capability to effectively detect underwater threats. Although they have weaknesses, such as high operational costs, dependency on imported components, and limitations in battery endurance and sonar capabilities, these factors do not significantly hinder AUV effectiveness. Major opportunities arise from global technological advancements, yet challenges remain due to insufficient government policy support. The threats faced include the risk of sabotage and extreme weather conditions. Therefore, the recommended strategies are to maximize the use of technology, strengthen supporting regulations, and address logistical and financial barriers to realize effective and sustainable AUV operations in the Natuna Sea.

The KRI Nagapasa Class is a submarine of the Indonesian Navy that has the capability to deploy sea mines, launch anti-surface missiles, and release countermeasure torpedoes. However, to face the increasingly complex dynamics of the regional strategic environment, it is necessary to increase combat power through the installation of a Sub Launch Missile weapon system. Until now, the Indonesian Navy does not have a submarine equipped with this underwater missile, especially in the Chang Bogo class. This study aims to analyze and determine the most appropriate choice of Sub Launch Missile missiles to support submarine training and operations. The method used is the Analytic Hierarchy Process (AHP) with a quantitative approach. The results of the ranking of five respondents showed that the SM-39 Exocet missile was in first place with a value of 0.46424 followed by the CM-708UNB with a value of 0.41461 and the UGM-84 Harpoon with a value of 0.12115. The SM-39 Exocet missile was chosen as a priority because it has technical specifications that best meet the operational needs of the Indonesian Navy (TNI AL), as well as significantly contributing to enhancing the deterrence effect and combat capability of the Nagapasa-class submarines.

Analyzing the freshwater needs on Landing Platform Dock (LPD) type ships in the Amphibious Unit of Koarmada II, with a focus on the implementation of the Reverse Osmosis (RO) system to supply freshwater at sea. The problem faced is the limited supply of freshwater on ships operating far from external freshwater sources. This study uses a qualitative approach with interviews, observations, and documentation as data collection methods. The results of the study indicate that the RO system can improve the efficiency of freshwater supply, although technical challenges such as maintenance and crew training still need to be addressed. Optimal implementation of the RO system can support the logistical independence of the ship during long-term operations in remote waters. This study is expected to serve as a reference for the development of freshwater supply systems on Indonesian warships.

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

The increasing demand for electricity and high dependence on the utility power grid have driven the adoption of photovoltaic (PV) power generation as an environmentally friendly alternative energy source. This study aims to analyze the techno-economic feasibility of a load-sharing PV power generation system, focusing on technical analysis, operational costs, electricity bill savings, and environmental impacts. The research was conducted using quantitative methods to compare energy from photovoltaic generation and the grid, carbon emission calculations using an emission factor of 0,87 kgCO₂/kWh, and economic evaluation through parameters such as Net Present Value (NPV), Return on Investment (ROI), Cost of Energy (COE), and Payback Period (PP). The research results indicate that the photovoltaic panel generation system enables reducing utility grid energy consumption and reducing carbon emissions by 4,85 tons of CO₂ in 2024, increasing to 8,45 tons of CO₂ in 2025. The economic analysis indicates that the NPV value is not yet optimal; however, the ROI stands at 15%, the COE is Rp. 980.08/kWh, and the Payback Period is 6,56 years. The system is feasible for long-term investment. Overall, the implementation of the photovoltaic power plant demonstrates good potential in supporting carbon emission reduction, increasing the utilization of renewable energy, and reducing dependence on fossil-based energy.