Publication Search

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This study aims to analyze the strengthening of digital marketing at Kasandi Foil Pond Printing in optimizing market reach and sales. This study uses a qualitative approach with data collection techniques including observation, interviews, and documentation involving the business owner directly. The result show that the implementation of digital marketing is still not optimal, as indicated by the Instagram account that has not been actively used and the use of WhatsApp which is still limited to simple communication and has not been structured as a marketing strategy. The strengthening efforts are carried out through three main strategies, namely optimizing the use of social media, creating attractive visual content, and improving online customer interaction. The visual content created using applications such as Canva and CorelDRAW is able to increase the attractiveness of promotions and attract potential customers. In addition, consistency in posting content and quick responses through WhatsApp also contribute to increased interaction and transaction opportunities. Therefore, strengthening digital marketing based on visual media and digital interaction has the potential to increase market reach and sales if implemented consistently.

The rapid development in the field of information and communication technology currently requires students to master Microsoft Word. This skill becomes a crucial asset, both to support academic activities and as early preparation before entering the workforce. One of the applications frequently used in document preparation is Microsoft Word. Observation data at SMK Ibrahiny 1 Sukorejo indicate that the utilization of Microsoft Word features by some students is not yet optimal. This is evident in the students' limitations in configuring layouts, margins, as well as creating headers and footers in documents. In order to achieve efficiency and speed in the creation of administrative documents, this training is focused on enhancing students' competencies in exploring the features of Microsoft Word. This training was conducted on June 1, 2026, in the computer lab of SMK Ibrahimy 1 Sukorejo, involving 15 students from the 10th grade forestry department as participants. The method used during the training included the delivery of basic material followed by direct practice and the use of a system roll method on each computer to identify obstacles or challenges in preparing administrative documents, as well as direct assistance to students to quickly resolve any issues and ensure no one misses the material. The purpose of this training is to improve efficiency in properly and accurately preparing administrative documents. Therefore, the organization of Microsoft Word training can be categorized as a strategic step in boosting the digital skills of the students.

This study investigates why applicants who have passed the initial admissions stage do not proceed to final enrolment in an Indonesian private higher education context. While student recruitment is often measured by the number of applications received, institutional sustainability depends on the ability to convert applicants into enrolled students. This study employed a descriptive survey design supported by thematic analysis of open-ended responses. Data were collected from 179 applicants who had participated in the admissions process but did not complete final re-registration. The data were analyzed using frequencies, percentages, and thematic categorization. The findings show that conversion failure is influenced by several factors, including waiting for public university admission results, financial constraints, postponement of study plans, family considerations, uncertainty about the institution or study programmed, preference for other institutions, and campus accessibility. A key finding reveals that 58.1% of respondents would reconsider enrolment if scholarships, tuition discounts, or other financial assistance were available. These findings highlight the need for a conversion management strategy through targeted financial aid, transparent cost communication, family engagement, and proactive applicant follow-up.  

The community service activities aim to improve business financial management skills and student readiness in facing the 2026 Indonesian Student Innovation and Entrepreneurship Festival (FIKSI). The program is implemented by lecturers of the Digital Business Study Program at Al-Irsyad University Cilacap together with supervising teachers and 26 FIKSI finalist students from SMA Negeri 2 Cilacap, SMA Negeri 3 Cilacap, and SMA Negeri 1 Maos. The main problem faced by partners is the low ability to prepare business financial reports and the use of digital technology in business development. The method used is Participatory Action Research (PAR) through stages of socialization, training, technology implementation, mentoring, evaluation, and program sustainability. The results of the activity show an increase in student understanding and skills in recording transactions, calculating the cost of production, preparing profit and loss and cash flow reports, and utilizing digital financial applications and Artificial Intelligence (AI) to support business development. In addition, supervising teachers received capacity building in assisting students in aspects of financial management and preparing business proposals. The establishment of the Smart Fintech Young Entrepreneur Community is a sustainable strategy for the program to support the development of digital entrepreneurship in schools. This program has proven effective in improving the quality of business and improving students' readiness for entrepreneurship competitions.

Artificial Intelligence (AI) has increasingly influenced higher education, including learning practices among students of Islamic Education (PAI). Applications such as ChatGPT, Claude AI, and Gemini are widely used to support academic activities, including information searching, understanding course materials, idea generation, and assignment completion. This study aims to examine the use of AI among PAI students and analyze its implications for critical thinking skills. A qualitative descriptive approach was employed at the Islamic Education Program of UIN Salatiga. Data were collected through written interviews with 12 students selected using purposive sampling and analyzed using an interactive data analysis model. The findings reveal that AI has become an important part of students’ academic activities due to its perceived usefulness and ease of use. Most participants demonstrated critical thinking behaviors by verifying AI-generated information, comparing multiple academic sources, and evaluating the accuracy of responses before using them for academic purposes. Nevertheless, excessive dependence on AI was found to potentially reduce students’ independent learning and analytical engagement. The study concludes that AI has a dual impact on critical thinking: it can enhance critical thinking when used reflectively and responsibly, but it may also weaken cognitive involvement when relied upon excessively. Therefore, strengthening AI literacy, digital literacy, and critical thinking skills is essential in higher education learning practices.

In today's rapidly developing era, advances in digital technology have brought significant changes to various fields, including the music industry. Music production processes that once relied heavily on analog equipment can now be carried out digitally through various software applications, one of which is Fruity Loops Studio (FL Studio). FL Studio is a digital music production software that is relatively easy for beginners to learn and is widely used in the creation of digital music. This technology enables individuals to create, record, edit, and produce music more efficiently without requiring expensive studio equipment. Therefore, proficiency in digital music production technology has become a relevant and essential skill for professional, educational, and creative industry purposes. Training in recording, mixing, and mastering techniques using FL Studio is one approach to enhancing the competencies of youth communities engaged in music activities. One of the target groups of this program is the K-Tong Lasiana Youth Community, a community actively involved in music creation, particularly ethnic music. However, their musical works are still primarily focused on live performances and have not been widely produced in digital recording formats due to limited knowledge and skills in digital music production. As a community service initiative, this training program is designed to equip community members with fundamental knowledge and practical skills in digital music production, enabling them to create high-quality musical works and distribute them through various digital platforms so that they can reach a broader audience.

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.


This study aims to examine relevant and effective Christian Religious Education (CRE) learning methods in the digital era. The rapid development of information and communication technology has brought significant changes in education, including CRE instruction. The research method employed is a literature study with a descriptive-analytical approach to various academic sources and technology-based CRE learning practices. The results indicate that integrating digital media such as online learning platforms, Bible-based interactive applications, and social media creatively can enhance students' engagement and understanding of Christian faith values. Furthermore, the use of digital technology opens wider opportunities for contextual and meaningful faith formation across diverse learning environments. The study also identifies key challenges faced by CRE teachers, namely digital readiness, infrastructure limitations, and maintaining relational and spiritual dimensions in virtual learning environments. Teachers must therefore be equipped not only technologically but also theologically to navigate these complexities. The research concludes that the transformation of CRE methods in the digital era is not merely a technology adoption but a holistic theological integration of faith, technology, and pedagogy.

Agentic artificial intelligence (AI) systems capable of autonomous goal-directed behavior, multi-step planning, tool use, multi-agent coordination, and iterative self-correction represent a transition from passive clinical AI tools toward systems that can participate in complex healthcare workflows. However, empirical evidence remains fragmented across clinical decision support, patient monitoring, and administrative applications, and no systematic synthesis has evaluated which agentic principles have been technically demonstrated and which have accumulated sufficient evidence to support responsible clinical deployment. We conducted a PRISMA-informed systematic review of peer-reviewed empirical studies published between January 2025 and April 2026. Searches across five bibliographic databases and Google Scholar, supplemented by citation tracking, identified 443 unique records for screening, of which 25 met the predefined PICOS and quality appraisal criteria. Evidence was synthesized using an evidence-informed seven-principle framework derived from the integration of agentic AI, clinical AI, and healthcare governance literature. This framework provides a structured lens for examining how agentic principles are evaluated individually and in combination, enabling a deployment-readiness perspective that extends beyond capability-focused assessments alone. The evidence base was concentrated on technical capability principles, whereas human oversight, safety, compliance, and equity-related evaluation received comparatively limited attention. Most studies remained at the laboratory, benchmark, or proof-of-concept stage, and none reported demographic-stratified performance outcomes. Overall, the findings suggest a structural asymmetry in agentic healthcare AI: empirical research is advancing agentic capabilities more rapidly than it is generating evidence for the oversight, safety, equity, and governance mechanisms required for responsible clinical translation.

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

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

This study examines the effect of digital banking transformation on financial inclusion in emerging economies, using Indonesia as a case study. Digital banking transformation refers to the technological development of banking services, including accessibility, transaction speed, system security, service integration, and the availability of user-relevant financial features. Financial inclusion is defined as individuals’ ability to access, use, and benefit from formal financial services in an easy, secure, affordable, and sustainable way. This research employs a quantitative explanatory design. Data were collected through structured questionnaires distributed to users of mobile banking, internet banking, digital bank applications, and digital payment services in Indonesia. Respondents were selected using purposive sampling with criteria of being at least 17 years old, residing in Indonesia, and having used digital banking services within the last six months. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that digital banking transformation has a positive and significant effect on financial inclusion, with a path coefficient of 0.684, a t-value of 14.276, and a p-value of 0.000. The R-square value of 0.468 shows that 46.8% of the variance in financial inclusion is explained by digital banking transformation. These findings suggest that digital banking expands access to financial services, increases usage of formal financial products, and reduces barriers related to distance and cost. However, its effectiveness still depends on digital literacy, security, trust, infrastructure, and consumer protection. The study implies that banks and regulators should strengthen inclusive, secure, and affordable digital financial services for underserved communities.

This study aims to analyze the role of online sales in maintaining the financial stability of Micro, Small, and Medium Enterprises (MSMEs) in West Sumatra, Indonesia. The increasing adoption of digital channels, such as marketplaces, social media, messaging applications, live selling, and digital payment systems, has transformed online sales into not only marketing tools but also mechanisms that may affect cash flow continuity and business sustainability. Despite their growing importance, empirical evidence regarding the contribution of online sales to MSME financial stability remains limited. This study employs a quantitative explanatory research design. The population consists of MSME owners in West Sumatra who utilize online sales, while purposive sampling was used to select respondents who had engaged in online selling for at least one year and maintained cash flow records. Data were collected from 102 respondents through a structured questionnaire using a five-point Likert scale and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings reveal that online sales have a positive and significant effect on financial stability, with a path coefficient of 0.632, a t-value of 9.214, and a p-value below 0.001. These results indicate that effective use of online sales enhances cash flow continuity, income regularity, working capital adequacy, and financial resilience. However, the benefits depend on disciplined management of digital costs, discounts, platform fees, shipping expenses, product returns, and cash flow records. This study contributes to MSME digitalization literature by highlighting online sales as a strategic instrument for strengthening financial stability rather than merely a marketing channel.

Usability evaluation plays a crucial role in ensuring the quality of digital systems, particularly in terms of comfort, effectiveness, and ease of use. Instruments such as the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and Heuristic Evaluation (HE) are widely used in modern usability studies. This research conducts a Systematic Literature Review (SLR) to identify patterns and trends in the use of these instruments. A total of 27 initial studies were collected, and 16 were selected through the PRISMA screening procedure. The findings show that UEQ is the most frequently used instrument, especially in Learning Management Systems (LMS) and academic platforms, while SUS is commonly applied to mobile applications and digital libraries for rapid usability assessment. HE is effective in revealing fundamental interface issues such as non-intuitive navigation and layout inconsistencies. Overall, digital systems perform well in Efficiency and Perspicuity, but consistently show low scores in Novelty. This study provides an integrative knowledge map that highlights cross-instrument insights and supports the development of more intuitive, innovative, and user-centered digital systems

The International Community Service Seminar on the Application of Artificial Intelligence (AI) for students of SMA Muhammadiyah Program Khusus Kotabarat Surakarta was conducted to enhance digital literacy and provide practical understanding of AI utilization in daily life and learning activities. The program aimed to introduce basic concepts of artificial intelligence, its functions, benefits, and challenges in modern education. Through presentations, interactive discussions, and quizzes, participants were exposed to real-life applications of AI such as digital assistants, personalized learning systems, and time management tools. The seminar involved participants from Indonesia and Malaysia, creating a cross-cultural learning environment that enriched the discussion. Both students and teachers gained improved understanding of how AI can support adaptive and effective learning processes. The activity highlighted the importance of responsible technology use in education. Integrating AI into learning environments was found to improve creativity, efficiency, and engagement among participants while also supporting teachers in administrative and instructional tasks.

Scientific writing is one of the essential skills that college students need to support research activities and the development of knowledge. However, students still encounter various challenges during the writing process. This study aimed to identify students’ responses toward scientific activities at FMIPA Universitas Negeri Surabaya and to examine the difficulties experienced by students in preparing scientific papers. The study employed a qualitative descriptive method using a purposive sampling technique. The research subjects consisted of 36 students from various study programs at FMIPA Universitas Negeri Surabaya who had been involved in research activities and scientific proposal writing. Data were collected through student response questionnaires consisting of closed-ended and open-ended questions. The data were analyzed descriptively and presented in tables and narrative descriptions. The results showed that most students had understood the existing student research programs and were familiar with the use of research guidelines. However, students still faced difficulties in systematically organizing research ideas, determining research variables and methods, finding relevant literature reviews, and connecting theories from various references. In addition, time management and the use of citation management applications were also obstacles for some students. Therefore, more structured assistance is needed through scientific writing training, reference searching training, and the use of citation management applications to improve the quality of students’ scientific writing.