Publication Search

Pengelolaan keuangan desa yang bersifat transparan dan akuntabel adalah salah satu prinsip utama untuk mewujudkan pemerintahan desa yang baik. Perkembangan teknologi digital mendorong pemerintah desa agar menggunakan teknologi informasi dalam mengelola dan mempublikasikan keuangan desa dengan menerapkan Sistem Keuangan Desa atau SISKEUDES. Penelitian ini bertujuan untuk mengkaji seberapa efektif implementasi SISKEUDES dalam mendukung transparansi APBDes melalui media digital di Desa Rahayu, Kecamatan Soko, Kabupaten Tuban. Dalam penelitian ini metode yang digunakan adalah metode deskriptif kualitatif dengan teknik pengumpulan data yang meliputi wawancara semi terstruktur, observasi, dokumentasi, serta analisis isi terhadap media informasi digital desa. Narasumber dalam penelitian ini adalah Sekretaris Desa dan operator SISKEUDES di Desa Rahayu. Hasil penelitian ini menunjukkan bahwa implementasi SISKEUDES di Desa Rahayu telah berkontribusi pada peningkatan efisiensi pengelolaan keuangan desa, mempercepat proses administrasi dan pelaporan, serta mendukung transparansi informasi publik melalui website desa, media sosial, banner APBDes, dan papan informasi pembangunan desa. Dalam penelitian ini juga menunjukkan bahwa digitalisasi pengelolaan keuangan desa tidak hanya berfungsi untuk alat administrasi, tetapi juga bagian dari transformasi digital dalam pemerintahan di tingkat desa. Namun, implementasi transparansi digital masih menghadapi beberapa tantangan seperti keterbatasan kemampuan sumber daya manusia dan partisipasi masyarakat yang rendah dalam komunikasi publik secara digital di desa. Penelitian ini menunjukkan bahwa efektivitas implementasi SISKEUDES dipengaruhi oleh kemampuan pemerintahan desa dalam menggabungkan sistem administrasi keuangan dengan media komunikasi publik yang berbasis digital.

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.

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.

This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

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.

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

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

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.


Muscle-invasive bladder cancer (MIBC) is an aggressive malignancy associated with high morbidity, reduced survival, and impaired quality of life. Radiotherapy (RT) has been widely used as a bladder-preserving strategy, particularly for patients unsuitable for surgery or systemic chemotherapy. RT may also enhance tumor immunogenicity through programmed death-ligand 1 (PD-L1) upregulation, providing a rationale for combination therapy with immunotherapy. This study aimed to evaluate the effectiveness of combining immunotherapy and radiotherapy in MIBC treatment. A systematic review was conducted following PRISMA 2020 guidelines using the PICO framework. Literature searches were performed in PubMed, Embase, Cochrane, ClinicalTrials.gov, Web of Science, and Scopus databases for studies published between 2016 and 2025. Risk of bias was assessed using the Cochrane Risk of Bias Tool and ROBINS-I. Of 105 identified studies, five met the inclusion criteria and were included in the final analysis. Only one Phase II randomized controlled trial demonstrated low risk of bias in randomization and allocation concealment. ROBINS-I assessment indicated moderate to serious risk in confounding and participant selection domains. Clinical findings showed promising outcomes, with complete response rates ranging from 35%–50% and partial response rates from 25%–40%. Median overall survival ranged from 24–30 months, with favorable disease-free and progression-free survival outcomes. Combined immunotherapy and radiotherapy demonstrate potential to improve survival and disease control in MIBC; however, further rigorous clinical studies are needed to optimize patient-centered treatment strategies.  

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.

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..

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

This study aims to develop and evaluate the feasibility of Teknoran, a website-based digital learning medium developed through the Canva application for the Office Technology subject in Grade X at SMKN 31 Jakarta. The study was motivated by learning activities that were still dominated by lecture methods and limited learning media. Teknoran was designed to facilitate learning through integrated features such as learning materials, assignments, and educational games within a single platform. This research employed the Research and Development (R&D) method using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. Data were collected through observation, needs analysis questionnaires, validation sheets from material and media experts, and student response questionnaires during one-to-one and small group trials. Data were analyzed using descriptive quantitative and qualitative techniques. The results showed that the Teknoran website achieved a feasibility score of 95% from material experts and 93.33% from media experts, both categorized as “Very Feasible.” Student responses also indicated a very high level of acceptance, with an average score of 95.68%. These findings demonstrate that Teknoran is highly feasible as a digital learning medium and can support more interactive, flexible, and independent learning in Office Technology subjects at SMKN 31 Jakarta.

Amidst rising global pressure regarding sustainability and cross-border trade, customs agencies are no longer viewed merely as gatekeepers but as strategic actors in global environmental governance through the Green Customs Initiative (GCI). This research aims to uncover the evolutionary patterns of GCI research within the context of adaptive policy, map its intellectual structure, and identify future thematic directions. The methodology employs a bibliometric analysis of documents sourced from the Web of Science database, utilizing VOSviewer software to perform co-authorship, bibliographic coupling, and co-word analysis.The results demonstrate that the dominance of scientific actors in this field is determined more by the strength of collaboration networks than by the mere volume of publications. The findings identify that the primary intellectual foundations of GCI research rest upon the critical relationship between environmental regulation, international trade, market responses, and eco-innovation. Furthermore, country-level analysis highlights the central roles of China, the United States, and the United Kingdom in shaping the knowledge structure of this domain. Overall, these findings underscore that the GCI has evolved into a multidisciplinary field that requires an adaptive policy framework to respond to the dynamics of ecological risks and global trade demands through institutional flexibility and cross-actor collaboration. By integrating environmental protection into border management and risk assessment, this study provides a strategic reference for customs authorities to move toward a more responsive and knowledge-based green customs administration.

This study examines the performance of student administrative services in the Society 5.0 era at the Bureau of Academic Affairs, Student Affairs, and Planning of Gorontalo State University, focusing on scholarship services. It addresses the need for accessible, responsive, transparent, inclusive, and student-centered administrative services in higher education. A descriptive qualitative approach was employed through in-depth interviews, participatory observation, and document analysis. Informants included bureau leaders, scholarship and financial aid administrators, operational officers, and students receiving various scholarship schemes. Thematic analysis was conducted through data reduction, data display, and conclusion drawing, while validity was ensured through source triangulation, method triangulation, and member checking. The findings show that accessibility has improved through service counters, websites, social media, WhatsApp, online forms, SIMPEL BAKP, and coordination with faculties and study programs. However, information remains fragmented, digital standard operating procedures are not uniform, and disability-inclusive access is limited. Responsiveness is supported by direct and digital communication, but it lacks a dedicated complaint system, automatic notifications, selection-status dashboards, and real-time disbursement tracking. Service quality is perceived as fairly good because students experience professional, friendly, and fair treatment. Nevertheless, service documentation, procedural standardization, staff training, and humanistic technology integration need strengthening. The study concludes that scholarship administration should be transformed into a centralized, inclusive, responsive, transparent, and student-centered digital-humanistic service model.

This research the development of a content-based website to overcome learning distractions from TikTok social media in Cuping Hamlet, Lamongan Regency. The purpose of this study was to determine the effect of TikTok social media on children's learning interest and to develop a content-based website to address learning distractions from TikTok social media in Cuping Hamlet, Lamongan Regency. The method used was a quantitative method with a questionnaire technique distributed to 30 parents of children aged 6-12 years. The results showed a significance level of <0.05, indicating a significant negative effect between TikTok social media use and children's learning interest. Furthermore, the relationship between TikTok social media and learning interest was strong and in the opposite direction, with a correlation coefficient of -0.60.. This can be interpreted that the higher the level of TikTok social media use, the lower the child's interest in learning and vice versa. Furthermore, a content-based website has been successfully developed to address learning distractions from TikTok social media. The website development used Wix which contains the home page, about, research, publications, posts (interesting learning materials and videos), and contact.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.