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The development of digital technology has transformed trading patterns through the emergence of live shopping, a phenomenon that enables real-time interaction between sellers and consumers. Although it offers marketing efficiency, this model poses significant legal risks, including misleading information, promotional manipulation, and product non-conformity. This study aims to analyze legal certainty in consumer protection within live shopping transactions, examine the forms of business actors’ liability for consumer losses, and identify obstacles to regulatory implementation along with efforts to strengthen supervision.The research method employed is normative legal research using both a statute approach and a conceptual approach. The results indicate that legal certainty in consumer protection within this ecosystem is grounded in the integration of Law No. 8 of 1999 (Consumer Protection Law) as the lex generalis and Government Regulation No. 80 of 2019 (Electronic Commerce/PMSE) as the lex specialis, which recognizes the validity of real-time electronic contracts. The legal liability of business actors is strict liability in nature, in accordance with Article 19 of the Consumer Protection Law, and may also be construed as a tort (Article 1365 of the Civil Code) in cases involving distortion of visual information.However, the effectiveness of these regulations is hindered by the ephemeral nature of transactions and low levels of digital literacy. This study recommends the implementation of technology-based supervisory systems (suptech), strengthening the oversight function of platforms (PPMSE), and policy synchronization between the Ministry of Trade and the Ministry of Communication and Informatics in standardizing business actor verification to ensure the security of the digital commerce ecosystem.

This study aims to analyze the digital communication strategy implemented by the Jakarta Communication, Informatics, and Statistics Office (Diskominfotik) in the dissemination of public information through the @katakotajakarta Instagram account. The research method uses a descriptive qualitative approach with data collection techniques in the form of observation, interviews, and literature studies. The results of the study show that there is a shift in communication patterns from one direction to a more interactive two-way, characterized by the use of visual content, the use of casual language, and systematic content planning. The use of the Reels feature has proven to be effective in increasing audience reach, especially from non-followers. However, the challenges faced include fluctuations in engagement and the risk of information overload that can reduce the effectiveness of communication. This study concludes that adaptive and data-based digital communication strategies are able to increase the effectiveness of public communication and strengthen the relationship between the government and the community. These findings provide practical implications for the management of public communication in the digital era, especially in utilizing social media as an interactive means that support transparency and public participation.

This research aims to analyze the capacity building of government personnel in implementing the Electronic-Based Government System (SPBE) at the Department of Communication and Informatics of Gresik Regency, which plays a strategic role in digital governance. This study uses a qualitative approach focusing on capacity development strategies and constraints at individual and organizational levels. The findings show that capacity building is carried out through two main strategies: human resource development and organizational strengthening. In human resource development, the establishment and training of an internal assessor team serve as key instruments in supporting SPBE implementation. This team represents institutionalized capacity, enabling the organization to independently conduct monitoring, evaluation, and quality assurance processes in a sustainable manner. This approach reflects a long-term strategy to strengthen institutional independence and reduce reliance on external parties. In organizational strengthening, capacity building focuses on optimizing organizational structure, work systems, coordination mechanisms, and regulatory support, including standard operating procedures. However, several constraints were identified. At the individual level, there is an imbalance in technical competencies, especially in information technology skills. At the organizational level, the lack of optimal follow-up after training highlights the need for more integrated human resource planning. These findings indicate that capacity building in SPBE implementation requires a systemic, well-planned, and sustainable approach to achieve effective, adaptive, and responsive digital government governance in the public sector.

The development of bioinformatics has led to the availability of large amounts of genetic data through public databases such as NCBI Gene, OMIM, and Ensembl. However, the complexity of data presentation and the dominance of English language hinder students, novice researchers, and the general public in understanding the relationship between genes and disease. This research aims to develop a simple web-based information system to identify disease-causing genes with concise, Indonesian-language, and user-friendly information presentation. The method used is Research and Development (R&D), which includes literature study, needs analysis, system design, implementation, testing, and evaluation. The system was developed using a MySQL relational database with a web interface that displays basic gene information, chromosome location, biological function, and gene-disease relationships, complete with simple visualizations. Black Box testing results indicate that all main functions run according to user requirements. This system is expected to improve bioinformatics literacy and become an effective learning medium.

This study aims to explore the condition of information technology infrastructure and to evaluate the extent to which the Lapak Aduan Banyumas service, managed by the Department of Communication and Informatics of Banyumas Regency, operates effectively. The study employs SWOT and Value Chain analysis approaches. A qualitative descriptive method is applied, with data collected through interviews and documentation involving officers responsible for managing the service. The results indicate that Lapak Aduan Banyumas has been operating optimally as a digital-based, transparent, and effective public complaint channel. Its main strengths lie in the ease of access through multiple service channels and the availability of features that enable real-time complaint status tracking. However, several challenges remain, including a limited number of human resources, less optimal collaboration among regional government organizations (OPDs), and network infrastructure constraints in several areas. The Value Chain analysis reveals that the complaint follow-up process and the dissemination of handling outcomes to the public represent the stages that generate the greatest added value in the service process. Therefore, this study suggests strengthening the complaint status monitoring system, enhancing inter-platform service integration, and utilizing artificial intelligence technologies to improve the complaint handling process. The findings of this study are expected to serve as a strategic basis for improving the quality of digital public services in Banyumas Regency.

This research focuses on the design and evaluation of a novel parallel graph optimization algorithm incorporating dynamic load balancing (DLB) to address inefficiencies in heterogeneous computing environments. Large-scale graph optimization problems, such as those in social networks, bioinformatics, and transportation systems, often suffer from computational imbalances when using traditional static load balancing approaches, leading to underutilized resources and prolonged execution times. The primary objective of this research is to develop an algorithm that can dynamically adjust workload distribution across processors, enhancing computational efficiency and scalability. The proposed method combines heuristic techniques, including region expansion and multilevel partitioning, with diffusive load balancing strategies to minimize inter-processor communication overhead. Experimental results demonstrate that the proposed algorithm reduces execution time by up to 40% compared to static methods, with optimized resource utilization and more balanced workload distribution. The scalability of the algorithm is also evident, as it adapts effectively to increasing problem sizes and processor counts. These findings suggest that dynamic load balancing is crucial for improving parallel graph optimization in real-world applications. Future work will focus on further enhancing the algorithm’s responsiveness to rapidly changing workloads and expanding its applicability to additional domains.

Digital transformation has transformed the tourism promotion landscape through social media, travel marketplaces, and user-experience-based content. Visual, interactive, and rapidly disseminating digital information shapes destination images and influences traveler decisions. However, the lack of digital promotion standards allows for misleading promotional practices, visual manipulation, false testimonials, and exaggerated claims that have the potential to harm tourism consumers. This study aims to analyze the synchronization between the Electronic Information and Transactions Law (UU ITE) and the Tourism Law in overseeing digital tourism promotion. This study uses a normative juridical method with a legislative approach and a literature review of academic documents and related news. The research findings show that while both laws share the same goal of ensuring accurate and non-misleading information, neither provides specific technical standards for digital promotion. The ITE Law is general and does not specifically regulate tourism promotion, while the Tourism Law was drafted before social media became a primary tool for destination marketing. This has resulted in regulatory gaps and fragmented authority between the Ministry of Communication and Informatics, the Ministry of Tourism and Creative Economy, BPKN, and BPSK. This research recommends the establishment of derivative regulations related to digital promotion, ethical content standards, advertising transparency, and an integrated cross-agency oversight mechanism to protect tourism consumers in the digital space.

The development of modern biotechnology has brought fundamental changes to the life sciences through the application of molecular biology, genetic engineering, and bioinformatics techniques. This article aims to examine the transformation of life sciences through modern biotechnology approaches and its impact on health, agriculture, the environment, and industry. The method used is a descriptive-analytical literature review based on international journal sources and relevant scientific publications. The results of the study indicate that technologies such as CRISPR-Cas9 enable precise gene editing for genetic disease therapy, while the mRNA vaccine platforms developed by Pfizer and Moderna demonstrate the acceleration of biomedical innovation in response to the global pandemic. In the agricultural sector, genetic engineering increases crop productivity and resilience, while in the environmental sector, biotechnology supports environmentally friendly bioremediation processes. However, ethical and regulatory challenges remain important concerns in its implementation. In conclusion, modern biotechnology plays a key role as a catalyst for sustainable, innovation-driven transformation in the life sciences.

Public complaint services are an essential part of public service delivery in supporting the government’s rapid response to various social issues and emergency situations. In West Tanjung Jabung Regency, public complaint services are provided through the HALO USTAD 112 Call Center managed by the Department of Communication and Informatics. However, the existing service still faces several limitations, including the lack of optimal integration in complaint data management, inadequate documentation of reports based on regional classifications, and limited capabilities in storing and retrieving complaint data. This study aims to optimize the HALO USTAD 112 Call Center service through the design of a mobile-based public complaint information system, so that the processes of receiving, managing, and monitoring reports can be carried out more effectively and in a structured manner. The system development applies the Waterfall method, which consists of requirement analysis, system design, implementation, and testing stages. The designed information system includes key features such as user and admin login, complaint submission, report management and verification, report monitoring, statistical visualization of complaint data, and regional-based report recapitulation. The application is developed using the Flutter framework with the Dart programming language, while Supabase is utilized as the backend integrated with a PostgreSQL database. The results of this study are in the form of a system design and prototype that are expected to improve the quality of public complaint services and support more accurate, integrated, and efficient data management.

Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in Indonesia, with a focus on improving prediction accuracy, interpretability, and relevance of health policies. Methodology: The primary service dataset for 2024 (5,343 entries) was analyzed using three ML models Gradient Boosting Machine (GBM), Temporal Random Forest (TRF), and Multi-EigenSpot with spatial (village) and temporal (week, month) features. Performance evaluation includes predictive (AUC, F1-score) and spatial (Moran's I, Spatio-Temporal Correlation Index) metrics. Results: The results showed that Multi-EigenSpot achieved the best performance (AUC=0.91; F1=0.86), with the detection of dominant hotspots in Sungai Asam and Beringin Villages. Moran's I value of 0.63 indicates a strong spatial autocorrelation, while STCI=0.57 indicates moderate temporal stability. Conclusions: ML-based spatio-temporal models are effective in identifying hidden disease patterns and have the potential to be integrated into national digital surveillance systems. This approach supports precision public health by providing a scientific basis for real-time location- and time-based intervention policies.

This study analyzes bottled water consumer traits and the market share of various brands over five years at the University of Udayana using the Markov chain method. Primary data from questionnaires show most consumers are female informatics students in dorms, consuming over 2 liters daily, mostly purchasing from stores. Decisions consider quality and brand, influenced by TV ads over peer recommendations. Market share in period 1: Aqua led with 52%, followed by Le Minerale (28%), Club (13%), Cleo (7%), and others (0%). In period 2, Aqua maintained 52%, Le Minerale rose to 36%, while Club and Cleo declined to 2% and 3%. Period 3 saw Aqua at 49%, Le Minerale at 33%, and Club/Cleo at 2% and 1%. In period 4, Aqua led with 45%, Le Minerale at 31%, and Club/Cleo/others at 2%, 1%, and 7%. Finally, in period 5, Aqua remained at 41%, Le Minerale fell to 28%, while others decreased to 6%, and Club/Cleo remained at 2% and 1%.

Knowledge must be managed effectively to facilitate transfer between individuals, groups, and organizations. The Informatics Engineering study program currently lacks a system for knowledge management. Currently, the study program facilitates offline discussion forums for the sharing of knowledge gained by lecturers and students. These offline discussion forums require significant costs, time, and space, often resulting in delays in knowledge sharing. This research focused on the analysis and design of a Knowledge Management System to meet the needs of Informatics Engineering students at Universitas PGRI Madiun. The system development method used was the Knowledge Management System Lifecycle (KMSL). In this study, the TIF KMS system using the KMSL method has been successfully built. The results of testing using the Blackbox Testing method showed that 5 scenarios and 18 cases were successfully executed as expected with a 100% success rate. Based on the system test results, the TIF KMS is ready to proceed to the implementation stage. Future implementation can be done by developing additional features such as a digital library

In Iranian Traditional Medicine, some herbs like Achillea millefolium, commonly known as yarrow, are implicated as appetite enhancers. However, there is not enough research evidence to prove their actual effect. Achillea millefolium is a dicot which belongs to the family Asteraceae. The purpose of this study was the analysis Achillea millefolium based on a bioinformatic study and toxicity test on the chicken embryo. This research method consisted of conversion of nucleotides into amino acids, analysis of the three-dimensional structure of Achillea millefolium protein, epitope and Allergen Proteins, antigens and toxins and toxicity test on the chicken embryo. In addition, this study also obtained the results of proteins that are epitope, antigenic, non-allergenic and non-toxic and toxicity test on the chicken embryo was 250 ng/egg.. Morphological description of the embryo on the 21st day after injection, at a concentration of 250 ng of Mentha piperita/egg product, an abnormal embryological picture was obtained. Chicken Embryo Weight and Body Length Measurements were carried out in chicken embryos. Need research for other species of plant.

Hawthorn extract has been used for ameliorating cardiac disorders and pulmonary hypertension. The main chemical constituents of hawthorn flavonoid extract (HFE) include flavonoids (1-2%), oligomeric proanthocyanidins (1-3%), and other bioactive components (e.g., triterpene acids, organic acids, sterols, and cardioactive amines). These compounds are reported to have many pharmacological effects, including neuroprotective, hepatoprotective, cardioprotective, and nephroprotective effects. This study was aimed the analysis Crataegus oxyacantha based on a bioinformatic study and toxicity test on the chicken embryo. This method consisted of analysis of the three-dimensional structure of Crataegus oxyacantha Protein, Epitope and Allergen Proteins, Crataegus oxyacantha Proteins that were antigens and toxins and toxicity test on the chicken embryo. The results of research conducted on 3 three-dimensional structures of Crataegus oxyacantha protein, GQME value and QmeanDisCo value. In addition, this study also obtained the results of proteins that are epitope, antigenic, non-allergenic and non-toxic and toxicity test on the chicken embryo was 250 ng/egg..Morphological description of the embryo on the 21st day after injection, at a concentration of 250 ng of Crataegus oxyacantha /egg product, an abnormal embryological picture was obtained. Chicken Embryo Weight and Body Length Measurements were carried out in chicken embryos. Need research for other species of plant.

This study examines the public communication strategy implemented by the broadcasting division of the Bogor City Communication and Informatics Office (Diskominfo) in producing and disseminating video content through social media as a means of public information and education. A descriptive qualitative approach was used, using observation, interviews, and document study techniques to gain an in-depth understanding of contextual communication practices. The results indicate that the public communication strategy was implemented through three main stages: pre-production, production, and post-production. In the pre-production stage, messages relevant to community needs were planned. The production stage focused on creating content that was informative, engaging, and easily understood by the audience, while the post-production stage included the dissemination and evaluation of message effectiveness. Challenges encountered included limited resources, technical issues, and sometimes suboptimal coordination between departments. However, these obstacles were overcome through teamwork, technical training, and more efficient equipment management. This study confirms that video content plays a strategic role in strengthening the relationship between the government and the community and encouraging transparency and public participation. Continuous evaluation based on audience feedback is recommended to improve the effectiveness of future communication.

In the midst of increasingly rapid and complex information flows in the digital era, the ability of government institutions to establish effective communication has become crucial in shaping a positive public image. This study aims to examine the public communication strategies implemented by the South Jakarta Department of Communication, Informatics, and Statistics in delivering information to the public in a transparent, accurate, and participatory manner. Employing a qualitative approach with a descriptive method, data were obtained through in-depth interviews, observation, and documentation. The findings reveal that the department actively utilizes social media and digital channels, fosters two-way communication, and crafts messages that are adaptive to public needs. Despite these efforts, challenges persist, such as limited human resources, disruptions in digital infrastructure, and the spread of disinformation that undermines public trust. This study underscores the importance of communication strategies that are not only technical but also ethical and humanistic, positioning the public as partners in dialogue. These findings are expected to contribute to strengthening the communication capacity of government institutions that are oriented toward service, transparency, and collaboration.

The daily exchange of informatics over the Internet has both eased the widespread proliferation of resources to ease accessibility, availability and interoperability of accompanying devices. In addition, the recent widespread proliferation of smartphones alongside other computing devices has continued to advance features such as miniaturization, portability, data access ease, mobility, and other merits. It has also birthed adversarial attacks targeted at network infrastructures and aimed at exploiting interconnected cum shared resources. These exploits seek to compromise an unsuspecting user device cum unit. Increased susceptibility and success rate of these attacks have been traced to user's personality traits and behaviours, which renders them repeatedly vulnerable to such exploits especially those rippled across spoofed websites as malicious contents. Our study posits a stacked, transfer learning approach that seeks to classify malicious contents as explored by adversaries over a spoofed, phishing websites. Our stacked approach explores 3-base classifiers namely Cultural Genetic Algorithm, Random Forest, and Korhonen Modular Neural Network – whose output is utilized as input for XGBoost meta-learner. A major challenge with learning scheme(s) is the flexibility with the selection of appropriate features for estimation, and the imbalanced nature of the explored dataset for which the target class often lags behind. Our study resolved dataset imbalance challenge using the SMOTE-Tomek mode; while, the selected predictors was resolved using the relief rank feature selection. Results shows that our hybrid yields F1 0.995, Accuracy 0.997, Recall 0.998, Precision 1.000, AUC-ROC 0.997, and Specificity 1.000 – to accurately classify all 2,764 cases of its held-out test dataset. Results affirm that it outperformed bench-mark ensembles. Result shows the proposed model explored UCI Phishing Website dataset, and effectively classified phishing (cues and lures) contents on websites.

Development of a Canva-Based Informatics E-book on ICT Material for Grade X at SMA Negeri 5 Samarinda. This research aims to determine the feasibility of a product in the form of an E-book as a learning medium and to assess the response toward the Canva-based Informatics E-book for Grade X students at SMA Negeri 5 Samarinda. This study employs a Research and Development (R&D) method with the PPE model, which consists of three stages: Planning, Production, and Evaluation. The research subjects involved 35 students from Grade X (I) at SMA Negeri 5 Samarinda, along with 3 media experts and 1 material expert. The research object is the Canva-based Informatics E-book on ICT material. The results showed that the development of the Canva-based E-book, as evaluated by 3 media expert validators, obtained a percentage score of 92.19%, which falls into the “Highly Feasible” category. The Evaluation conducted by 1 material expert achieved a percentage score of 100%, also in the “Highly Feasible” category. Furthermore, students’ responses to the product were measured and obtained an average percentage score of 82.57%, which falls into the “Very Interesting” category. Thus, the development of the Canva-based E-book on ICT material for Grade X at SMA Negeri 5 Samarinda, developed using the PPE model, is declared highly feasible based on media and material expert validation and very interesting based on students’ responses.

Development of a Canva-Based Informatics E-book on ICT Material for Grade X at SMA Negeri 5 Samarinda. This research aims to determine the feasibility of a product in the form of an E-book as a learning medium and to assess the response toward the Canva-based Informatics E-book for Grade X students at SMA Negeri 5 Samarinda. This study employs a Research and Development (R&D) method with the PPE model, which consists of three stages: Planning, Production, and Evaluation. The research subjects involved 35 students from Grade X (I) at SMA Negeri 5 Samarinda, along with 3 media experts and 1 material expert. The research object is the Canva-based Informatics E-book on ICT material. The results showed that the development of the Canva-based E-book, as evaluated by 3 media expert validators, obtained a percentage score of 92.19%, which falls into the “Highly Feasible” category. The Evaluation conducted by 1 material expert achieved a percentage score of 100%, also in the “Highly Feasible” category. Furthermore, students’ responses to the product were measured and obtained an average percentage score of 82.57%, which falls into the “Very Interesting” category. Thus, the development of the Canva-based E-book on ICT material for Grade X at SMA Negeri 5 Samarinda, developed using the PPE model, is declared highly feasible based on media and material expert validation and very interesting based on students’ responses.

Adapting to students’ learning styles is a key factor in enhancing the effectiveness of higher education, particularly in Informatics programs where learning preferences vary widely. This study aims to segment students based on their learning styles using the K-Means clustering algorithm, guided by the VARK model (Visual, Auditory, Read/Write, Kinesthetic). Data were collected from 130 Informatics students, including information on their learning preferences, and processed through normalization techniques. The optimal number of clusters was determined using the Elbow Method and Silhouette Score, and subsequent cluster interpretation was conducted. The results identified three dominant clusters, each representing distinct learning behavior patterns. These clusters were analyzed to recommend tailored instructional strategies for each group. Specifically, Visual learners were found to benefit from graphic-heavy materials, Auditory learners preferred lectures and discussions, Read/Write learners thrived on written content and detailed notes, while Kinesthetic learners responded best to hands-on activities. The findings support the development of adaptive, data-driven teaching approaches that align with the actual learning tendencies of students in Informatics. Moreover, the study demonstrates that the K-Means method is effective in systematically identifying student learning profiles, which can be used to inform instructional improvements. This personalized approach to teaching could significantly enhance learning outcomes by providing students with the most effective educational experiences tailored to their individual learning styles