Publication Search

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.

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.

The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

This study compared the performance of SARIMA and Prophet models in forecasting daily close prices of three major Indonesian banking stocks: BBCA, BBRI, and BMRI, using data from January 2020 to March 2026. Data were retrieved via the yfinance library, preprocessed, and split into 80% training and 20% testing sets. SARIMA modeling followed the Box-Jenkins procedure, while Prophet was configured with a Lag-1 regressor, weekly and monthly seasonality, Indonesian public holidays, and log transformation. Model performance was evaluated using MAPE, MSE, and Dstat metrics. Results showed that SARIMA outperformed Prophet in MAPE and MSE across all six stock-variable combinations, with MAPE values ranging from 1.3368% to 1.9386% for SARIMA and 1.5992% to 2.2300% for Prophet. However, Prophet demonstrated marginally higher Dstat values in several series. Both models achieved "Very Good" forecasting accuracy. A web-based forecasting system was also developed using Streamlit to make the models accessible to investors.

The socialization of Sultan Muda Sumsel Super Apps for OPD administrators was conducted to improve the capacity of administrators in managing website-based application content, data, and service information. The activity responded to the need for coordinated digital governance in supporting the 100,000 Sultan Muda program and the development of young entrepreneurship services in South Sumatra. The method consisted of need identification, material preparation, socialization, direct practice, and evaluation through discussion and technical assistance. The results show that the activity strengthened administrators’ understanding of application objectives, content management procedures, data accuracy, and follow-up mechanisms for digital publication. Documentation of the activity also reflects active mentoring, practical simulation, and coordination among stakeholders. The implication of this activity is the importance of continuous capacity building for OPD administrators to ensure that public digital service platforms are informative, updated, and aligned with institutional objectives.

The development of information technology has brought major changes in government agencies managing data and information, including in the KPKNL office. Asset data management that is still done manually often causes various obstacles, such as recording errors, delays in preparing reports, and difficulties in data validation. These conditions can affect the effectiveness and efficiency of the ongoing administrative process. The development of this system is carried out by designing using UML, designing databases with ERD, and implementing web applications. The main features included in this web system are asset data, activity logs, asset monitoring, and asset reports. This web-based system makes it easier to manage asset data in the office at KPKNL. This improves employee work efficiency, reduces recording errors, and makes it easier for users to access information. With this web application, the asset data collection process runs faster, more integrated, and very well documented.

This study examines the implementation of a Figma-based UI/UX training program aimed at improving digital design literacy among students at Qotrun Nada Islamic Boarding School, Jakarta. The program was developed to address the limited digital competencies and practical design skills commonly found among santri in traditional Islamic educational environments. Using a project-based learning and mentoring approach, participants were introduced to fundamental concepts of User Interface (UI), User Experience (UX), and collaborative digital design using Figma. The activities included workshops, practical design exercises, mentoring sessions, and prototype development projects. The findings demonstrated significant improvements in students’ digital literacy, communication skills, teamwork, creativity, and confidence in using technology. Students successfully produced simple website prototypes that reflected basic usability and visual design principles. Furthermore, the integration of digital literacy training within the pesantren environment showed that technological skill development can be harmonized with Islamic educational values and community empowerment initiatives

This study aims to analyze educational marketing management strategies in attracting students’ interest at MTs Al-Mursyidiyyah. The research employed a qualitative approach using a descriptive-analytical method. Data were collected through literature review and in-depth interviews with the school principal as the key informant. Data analysis used the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The findings reveal that MTs Al-Mursyidiyyah has comprehensively implemented educational marketing strategies based on the 7P marketing mix (product, price, place, promotion, people, physical evidence, and process). The product dimension is reflected in the integration of academic-religious curriculum supported by technology and diverse extracurricular programs. Promotional strategies are carried out through digital platforms such as Instagram, TikTok, and online admission websites, as well as conventional promotion through the annual November Festival. Strengthening human resources, modernizing facilities, and digitizing educational services also contribute to enhancing the school’s image. The study concludes that the success in attracting prospective students is strongly influenced by the synergy between product quality, promotional effectiveness, and physical evidence that build public trust in the educational institution.

Urban plant care is increasingly important for sustainable living, but many users face inconsistent watering, insufficient care knowledge, unsuitable plant selection and delayed disease recognition. This study presents Easy Grow Plants, an integrated web and Internet of Things (IoT) ecosystem that connects plant care guidance, soil-moisture monitoring, automated watering, plant recommendation, image-based plant health assistance, marketplace functions, community interaction and plant exchange. The prototype was implemented using a React frontend, Django REST backend, SQLite database and an Arduino UNO R4 WiFi smart pot with a soil moisture sensor, relay module and DC water pump. Functional, interface, API, IoT connectivity, sensor calibration, watering control and LAN deployment tests were conducted. The results show that the core modules operated together as an integrated academic prototype. The system demonstrates a practical foundation for smart urban gardening, although cloud deployment, multi-device testing and stronger AI validation remain future improvements

Teacher performance evaluation is a crucial factor in improving educational quality, but many schools still conduct it manually and subjectively, resulting in less transparent, time‑consuming, and error‑prone outcomes. This study aims to design and develop a web‑based decision support system using the Simple Additive Weighting (SAW) method for selecting the best teacher at MTs Mambaul Ulum. The system was developed using the Waterfall model with the Laravel 12 framework and MySQL database, incorporating two evaluator roles: the principal (assessing 5 criteria: teaching hours, responsibility, mastery of material, personality, and attendance) and the vice principal (assessing 4 criteria excluding personality). Data were collected through observation, interviews, and document review. System testing employed Black Box Testing and accuracy validation by comparing system outputs with manual Excel calculations. The results show that the SAW method effectively ranks teachers objectively, with Kusyanti achieving the highest score of 0.9450. The system attained 100% accuracy, as no difference was found between manual and system calculations. Moreover, the system reduced evaluation time from days to seconds and provides well‑documented results, thus supporting more transparent and accountable decision‑making. Therefore, this system proves to be reliable, objective, and efficient in assisting school administrators in evaluating teacher performance in a structured and fair manner.

The development of digital technology has transformed public relations practices from conventional communication models to digital-based communication. Digital Public Relations (Digital PR) enables organizations to build more interactive, rapid, and transparent relationships with their publics through social media, websites, and various digital platforms. This study aims to analyze the role of Digital Public Relations in building organizational image in the social media era. The research employs a literature review method by examining various national journal articles related to Digital PR and Cyber Public Relations. The findings indicate that Digital PR significantly contributes to enhancing organizational image through two-way communication, online reputation management, increased audience engagement, and more effective information dissemination. Social media serves as the primary instrument of Digital PR implementation because it facilitates participatory relationships between organizations and their publics. However, challenges such as digital reputation crises, the spread of negative information, and the demand for rapid responses remain critical issues that must be strategically managed by public relations practitioners. Therefore, effective Digital PR strategies are essential to maintain organizational reputation and strengthen public trust in the digital era.

Manual teaching journal management at SMA Negeri 1 Kayen frequently leads to documentation inefficiencies, risks of data loss, and challenges in the teaching supervision process. This research tends to design and develop a web-based teacher teaching journal information system employing the CodeIgniter 3 framework with a Model-View-Controller (MVC) architecture. The system was improved employing the Waterfall methodology, comprising requirements analysis, system design, implementation, testing, and maintenance phases. The system integrates four user roles—administrator, teacher, student, and supervisor—to support the digitalization of recording processes, real-time teacher attendance verification by students, and centralized activity monitoring. Black Box Testing outcomes present that all system functions, involving authentication, data management, and reporting, operate 100% in accordance with user requirements. The implementation of this system effectively reduces administrative time compared to manual methods while enhancing the accountability and transparency of teaching journal management within the school. With centralized data integration, this system helps as an effective solution for supporting data-driven managerial decision-making in education.

The implementation of web-based archive digitalization can help improve performance in the field of archive recording, which was previously still manual at the Naval Academy. Some of the obstacles include archiving that is still manual, many files lost due to piled-up storage systems, and human resources in the field of archiving that are still lacking. This study aims to increase time and cost efficiency in archive processing, reduce the risk of loss and damage to archives, and improve the abilities and skills of human resources in the process of using digital archives. This type of research is descriptive qualitative. The data collection techniques are interviews, observation, and documentation with respondents as well as appropriate documentation. The data analysis was carried out through the processes of data reduction, data display, as well as verification or drawing conclusions. The research results can help improve the efficiency and security of archiving by minimizing risks, so that archive management can enhance efficiency and effectiveness, focusing on the implementation of web-based applications.


Digital documents have become an essential medium for storing, managing, and distributing information in various sectors. Nevertheless, the risk of document alteration and forgery requires an effective mechanism to verify document authenticity. This research focuses on the implementation of Base64 and Pepper methods in a QR Code-based document verification system. The system was developed following the Waterfall software development model, which consists of requirement analysis, system design, implementation, and testing stages. A web-based application was created using PHP and MySQL. Verification tokens were produced from document identity data combined with a Pepper value, encoded using Base64, and embedded into QR Codes attached to PDF documents. During verification, the QR Code is scanned and the extracted token is compared with records stored in the database. Experimental results demonstrate that the proposed system is capable of verifying document authenticity accurately and efficiently. Furthermore, Black Box Testing confirmed that all implemented functions operated as expected. Therefore, the integration of Base64 and Pepper contributes to improving the security and dependability of digital document verification.

Digitalization in the fitness industry is increasingly essential to improve efficiency and service quality. However, many fitness centers still manage data manually, including KRESNA GYM, which faces challenges in member registration, workout scheduling, and facility information delivery. This study aims to design a web-based e-fitness application using the Laravel framework to support digital service management. The development follows the Waterfall model through stages of requirement analysis, design, implementation, testing, and evaluation. The application includes features such as a landing page, admin/member login and registration, management dashboards, workout schedules, equipment guides, and supplement listings. Black-box testing confirms that all features function as expected. This system simplifies administrative processes and enhances member experience, making it effective in supporting digital transformation at KRESNA GYM.

Online maps applications have become an essential tool for modern society in finding the fastest and most efficient routes. However, these applications often fail to detect current road conditions such as flooding, demonstrations, accidents, or public events, causing users to get stuck in problematic routes. This study aims to develop a prototype of a community-based road condition reporting system, visualized through a web-based digital map. The system allows users to directly report road conditions by providing photo evidence, descriptions, and event categories. It is also equipped with features for designing event routes such as carnivals and suggesting alternative paths based on community reports. The development process was carried out using a simulation-based approach with scenario testing that reflects real field conditions, without involving direct user data. The implementation results show that all core features work properly. The technologies used include Leaflet.js, OpenStreetMap, and the Nominatim geolocation API. This research produces an adaptive community-based GIS model that can be further developed as an intelligent navigation solution at the city scale

The thesis supervision process in higher education institutions is still frequently conducted manually, which may lead to inefficiencies in recording supervision data. This study focuses on the development and implementation of a web-based thesis supervision attendance application designed to facilitate attendance documentation, supervision session administration, and systematic monitoring of thesis supervision history. The methodology applied in this study is the Waterfall model, which includes the phases of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework and a MySQL database. The system design was modeled using Unified Modeling Language (UML), while the validation process was conducted through Black Box Testing techniques. The research findings indicate that the developed application is capable of performing real-time supervision attendance recording, managing supervision information, and generating attendance reports effectively and efficiently. It can be concluded that the web-based thesis supervision attendance application improves the efficiency and accuracy of supervision record management and supports a more effective thesis supervision monitoring process..

Sandstone aquifers in tropical sedimentary basins are major groundwater reservoirs, yet their public-health safety is often underestimated when assessment is restricted to physicochemical quality. This review addresses the persistent mismatch between chemically acceptable groundwater and microbiologically unsafe water, especially in shallow, permeable aquifers exposed to intense rainfall, pit latrines, septic systems, dumpsites, agricultural runoff, and weak wellhead protection. A structured narrative synthesis was conducted using peer-reviewed hydrogeological, hydrogeochemical, microbiological, vulnerability, and environmental health studies from Scopus, Web of Science, ScienceDirect, SpringerLink, and Google Scholar. The review focused on tropical sandstone aquifer systems in Africa, Asia, and South America. It examined lithological controls, major-ion evolution, microbial indicators, contamination pathways, WHO-based classification, Water Quality Index applications, contamination indices, multivariate statistics, GIS-based vulnerability mapping, and integrated hydro-microbial risk scoring. The synthesis shows that groundwater chemistry is governed mainly by silicate weathering, carbonate dissolution, cation exchange, shale interbeds, residence time, and anthropogenic inputs. However, chemical compliance does not confirm potable safety. Reported evidence includes TDS below 500 mg/L in chemically acceptable Nigerian basin aquifers, while all 12 shallow wells in Abeokuta tested positive for total coliform and Escherichia coli. Microbial loads increased during wet seasons, with Calabar groundwater recording total coliform increases from 76 to 468 CFU/100 mL and Salmonella/Shigella reaching 1081 CFU/100 mL. DRASTIC mapping further classified 21% of the Dahomey Basin as highly vulnerable. The review therefore proposes an integrated framework linking hydrochemistry, microbial evidence, vulnerability, GIS, and health-risk interpretation for safer, adaptive, and evidence-based groundwater governance.

The increasing demand for scalable and high-quality digital marketing content has exposed limitations in traditional manual copywriting processes, which are time-intensive and difficult to scale. This research proposes an adaptive AI-driven copywriting framework that integrates a full-stack web architecture with optimized prompt engineering strategies for automated content generation. The system is implemented using React.js for the frontend, Node.js with Express for backend services, and a GPT-based API for language generation. Unlike prior implementations, this research introduces a structured prompt optimization mechanism to enhance content relevance and consistency. Experimental evaluation was conducted using multiple datasets of marketing prompts, with comparisons against baseline GPT usage and manual copywriting. Quantitative results show that the proposed system achieves improvements in BLEU (+18.7%) and ROUGE-L (+21.3%) scores over baseline methods. Human evaluation involving 30 participants indicates a significant increase in perceived content quality, coherence, and persuasiveness (p < 0.05). System performance analysis demonstrates an average response time of 1.8–3.0 seconds and a GTmetrix performance score of 82%. The findings confirm that the proposed framework significantly enhances efficiency, scalability, and content quality, contributing to both applied AI systems and intelligent web-based content production.