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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..

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.

The rapid growth of e-commerce among university students has provided greater convenience in conducting digital transactions. However, it has also created various challenges, including online fraud, discrepancies between advertised and delivered products, delayed shipments, and limited understanding of consumer rights and dispute resolution mechanisms. This community service program aimed to enhance legal literacy and increase students’ awareness of consumer protection in electronic transactions, particularly within the Faculty of Teacher Training and Education (FKIP) of Yapis University Papua. The program employed an educational-participatory approach through counseling sessions, interactive discussions, case simulations, and participant comprehension evaluations. The materials covered consumer rights and obligations, common violations in electronic transactions, complaint procedures on e-commerce platforms, and non-litigation dispute resolution mechanisms. The results demonstrated a significant improvement in students’ understanding of consumer protection laws, their ability to identify violations of consumer rights, and their knowledge of appropriate actions when disputes arise in online shopping transactions. Furthermore, participants showed strong engagement throughout the activities and were able to apply their knowledge effectively during case simulations. The program contributed to the development of more critical, informed, responsible, and legally aware digital consumers who are better prepared to engage safely and confidently in e-commerce activities.

This study examines the concept of compassion-based education (rahmatan lil ‘alamin) from the perspective of Islamic educational philosophy and its relevance to bullying prevention in Islamic educational institutions. The study is motivated by the tendency of modern education to emphasize cognitive achievement while giving less attention to moral and affective development, resulting in the persistence of bullying behavior in educational settings. This study employs a qualitative approach using library research. Data were collected from the works of Muslim scholars, scientific journals, and relevant literature on Islamic education and analyzed through content analysis. The findings reveal that compassion-based education is built upon the integration of moral development, purification of the heart, and the cultivation of adab (proper conduct). These elements contribute to the development of empathy, social concern, and moral awareness among students. Therefore, compassion-based education (rahmatan lil ‘alamin) has strong relevance as a preventive approach to reducing bullying behavior and fostering a more humane and supportive educational environment in Islamic educational institutions.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

The improvement of village road infrastructure plays an important role in enhancing community mobility and supporting local socioeconomic development. This study aims to analyze changes in mobility conditions before and after road improvement, explore community perceptions and experiences, identify changes in activity and economic patterns, and examine factors that support or hinder mobility optimization in Trayeman Village, Slawi District, Tegal Regency. A mixed-method approach was employed involving 98 respondents selected from a population of 5,229 residents using the Slovin formula with a 10% margin of error, along with 15 key informants for qualitative data collection. Data were gathered through observations, in-depth interviews, documentation studies, and Likert-scale questionnaires. Quantitative data were analyzed descriptively, while qualitative data were examined using the Miles and Huberman interactive analysis model. The findings indicate that road improvement has significantly enhanced community mobility, with an overall mean score of 3.89, categorized as high. Access to services recorded the highest score (4.06), followed by economic mobility (4.00) and social mobility (3.99). Community perceptions were largely positive, viewing the improved road as a catalyst for development and improved accessibility. Road improvement also encouraged broader economic opportunities, lower transportation costs, business growth, and increased income. Supporting factors included private vehicle ownership and supportive village policies, whereas high fuel prices, limited transportation options, and uneven local road conditions remained major challenges. Further improvements in supporting infrastructure and transportation services are recommended to maximize mobility benefits.

The Jambi Class II Climatological Station is the agency responsible for providing climate data and information to the public and relevant agencies. In practice, the process of handling data requests is still carried out conventionally, resulting in relatively long processing times for document management, archiving, and user service. This situation has led to several challenges, such as inefficient administrative processes, a high risk of document loss, and limitations in monitoring the status of data requests. This study aims to design a web-based Data Service Information System that can support the digitalisation of climate data services at the Class II Jambi Climatology Station. The system development method used is the prototype method, as it allows the development process to be carried out in stages based on user needs. The system design was carried out using the Unified Modelling Language (UML) as a modelling tool to describe system requirements, process flows, and user interactions with the system. The design results show that the developed system is capable of facilitating the online submission of data requests, tracking the status of requests, and managing the service database in a more structured manner. The system also provides a digital archiving feature that simplifies the management and retrieval of data request documents. The implementation of this system is expected to improve the efficiency of service processes, speed up data request processing times, enhance service transparency, and support improvements in the quality of public services at the Class IV Jambi Climatological Station.

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.

Communication within the family, especially between parents and children, is an important foundation for the development of a child's personality, emotions, and social skills. The purpose of this writing is to identify the types of parental communication styles, analyze the factors that influence them, examine their impact on child development, and provide practical recommendations to improve the effectiveness of communication patterns within the family. The method used in writing this paper is a literature study. The discussion results show that there are three main types of parental communication styles: permissive, authoritarian, and democratic. The permissive style tends to give the child unlimited freedom, the authoritarian style emphasizes control and obedience, while the democratic style encourages openness and mutual respect. The choice of communication style is influenced by various factors such as educational background, culture, past experiences, and the socio-economic conditions of parents. Each communication style has a different impact on the emotional, social, and cognitive development of children. The democratic style is considered the most effective in optimally supporting child development. This article provides recommendations to parents to increase knowledge about dialogical-based parenting, practice assertive communication skills, give children space to express their opinions, and build a family culture that is open and mutually respectful.

Communication is an important aspect in the development of children aged 5–6 years, especially in supporting their language and social-emotional abilities. This study aims to analyze the influence of effective communication through a play approach in early childhood based on the results of previous research. The method used in this study is a quantitative method by conducting observations, research, and observations on effective communication and a play approach in early childhood education. Data collection techniques were carried out through documentation and literature searches from journals, articles, and relevant scientific references. Data analysis techniques used quantitative descriptive analysis by comparing and summarizing the results of previous research. The results show that the play approach has a significant influence on improving children's effective communication skills, such as the courage to speak, the ability to express opinions, social interaction, cooperation, and self-confidence. In addition, play activities have been proven to be able to create a fun learning atmosphere so that children are more active in interacting with peers and teachers. Thus, the play approach can be an effective strategy in developing the communication skills of children aged 5–6 years.

This study discusses inclusive education in Early Childhood Education from the perspective of Mel Ainscow. Inclusive education is an educational approach that provides equal learning opportunities for all children without discrimination, including those with diverse learning needs. The purpose of this study is to describe the concept of inclusive education according to Mel Ainscow and to analyze its implementation in the development of early childhood education. This research employs a qualitative approach using library research methods. The data were collected from various written sources, including books, scientific journals, research articles, and documents related to inclusive education and early childhood education. Documentation techniques were used for data collection, while the data were analyzed through content analysis. The findings reveal that according to Mel Ainscow, inclusive education is a continuous process aimed at increasing the participation of all learners and reducing barriers to learning within educational environments. In the context of early childhood education, inclusive education can be implemented through flexible learning methods, child-friendly learning environments, and active collaboration between teachers and parents in supporting children’s development. The implementation of inclusive education also contributes positively to children’s social and emotional development, as they learn to respect diversity from an early age. However, several challenges remain, including limited facilities, insufficient teacher competence, and a lack of public understanding regarding inclusive education. Therefore, collaboration among schools, families, and the government is necessary to create an inclusive, equitable, and diversity-respecting early childhood education system.

Motor Vehicle Tax (PKB) is a key pillar of Regional Original Revenue (PAD) that supports development funding. However, seasonal fluctuations in payment realization create uncertainties in local budget planning. This study aims to address the limitations of the standard Random Forestalgorithm, which suffers from extreme prediction failures on time-series data due to its inability to capture temporal transitions between months. The proposed solution implements feature engineering using a Cyclical Encoding approach (Sine and Cosine transformations) and Lagged Variables. The dataset comprises historical records of motor vehicle tax potential and realization from January 2021 to November 2025. The baseline model evaluation without feature engineering yields highly inaccurate predictions with a Mean Absolute Percentage Error (MAPE) of 203.47% (accuracy of -103.47%). Conversely, after integrating Cyclical Encoding and Lagged Variables, the proposed model's performance improves drastically, achieving a MAPE of 14.40% (an accuracy rate of 85.60%), an MAE of 9,317 units, and an RMSE of 12,638 units. Feature Importance analysis confirms that the cyclically encoded month feature contributes the highest weight to the model's decisions with a score of 0.5031, followed by the potential feature at 0.1798. This study demonstrates that time-based feature engineering effectively optimizes Random Forestfor precise tax revenue forecasting.

In the Education 4.0 era, schools face unprecedented challenges in managing teacher performance effectively. Traditional top-down performance management systems have proven inadequate for fostering continuous professional growth, intrinsic motivation, and adaptive teaching competencies required in increasingly technology-driven learning environments. This study aims to develop, validate, and assess the effectiveness of a School-Based Performance Management (SBPM) model designed to enhance teacher effectiveness across cognitive, affective, and pedagogical dimensions. Using a Research and Development (R&D) design following the ADDIE framework, the study was conducted in three phases: needs analysis, model development, and model validation. Participants included 12 school principals, 186 teachers, and 8 education experts from 24 public secondary schools in [Province, Country]. Validation by experts yielded a content validity index (CVI) of 0.91. Implementation resulted in statistically significant improvements in teacher effectiveness scores (t = 8.74, p < 0.001, Cohen's d = 1.23), digital pedagogy competency (mean increase = 22.4%), and student learning outcomes (mean improvement = 17.8%). The SBPM model provides a contextually responsive, evidence-based framework that empowers schools to manage teacher performance collaboratively, fostering professional accountability and sustainable instructional quality in Education 4.0.

This study was conducted to examine the integration of spiritual intelligence into Islamic Religious Education (PAI) learning as an effort to strengthen students’ character. At MA Al-Amien Bugih Pamekasan, some students still demonstrate a lack of discipline, responsibility, and honesty in the learning process. To address these issues, PAI teachers integrate spiritual values through religious activities and the cultivation of positive habits during classroom instruction. This study aims to describe the implementation of spiritual intelligence integration, the strategies used by teachers, and its implications for students’ character development. This research employed a descriptive qualitative approach. Data were collected through observations, interviews, and documentation involving purposively selected informants, namely PAI teachers and students. Data analysis followed the Miles, Huberman, and Saldana model, including data reduction, data display, and conclusion drawing. The validity of the findings was ensured through source and technique triangulation. The results indicate that the integration of spiritual intelligence in PAI learning has been implemented systematically through planning, implementation, and evaluation stages. Teachers incorporate spiritual values through religious practices, role modeling, learning reflections, discussions of moral values, and character assessments. These strategies contribute positively to the development of students’ character, particularly in fostering discipline, responsibility, honesty, cooperation, empathy, and independence. Although several challenges remain, including differences in students’ backgrounds, limited instructional time, and external environmental influences, the integration of spiritual values continues to support sustainable character development among students. The findings highlight the important role of spiritual intelligence in creating meaningful learning experiences and promoting positive character formation in Islamic educational settings.

The increase in medical disputes in Indonesia occurs along with the development of health services and increasing public legal awareness. Dispute resolution through litigation is often considered ineffective because it takes a long time, is expensive, and creates a confrontational relationship between medical personnel and patients. Therefore, mediation is present as an alternative dispute resolution that prioritizes deliberation, communication, and mutual agreement. This study aims to analyze the regulation, implementation, and effectiveness of mediation as an alternative resolution of medical disputes based on Supreme Court Regulation Number 1 of 2016 concerning Mediation Procedures in Court. The research method used is normative legal research with a statutory, conceptual, and case approach. Data were obtained through literature and document studies, then analyzed descriptively qualitatively. The results of the study indicate that mediation has a strong legal basis and provides various advantages, such as a faster resolution process, lower costs, maintaining confidentiality, and being able to maintain good relationships between medical personnel and patients. However, the implementation of mediation still faces obstacles such as low public understanding, limited mediators who have competence in the health sector, and a legal culture that still tends to be litigative. Therefore, optimization is needed through improving mediator competence, strengthening public legal awareness, and maximizing mediation implementation to achieve fair, effective, and humane dispute resolution.

The development of digital media has transformed virtual public spaces into major arenas for shaping public opinion on religious issues, including Islamic law and sharia in Indonesia. Discussions surrounding sharia on social media are frequently accompanied by stigma and misperceptions influenced by media framing, digital algorithms, and identity polarization. This study aims to analyze the construction of stigma toward Islamic law in the digital era, identify forms of sharia misperception in the Indonesian public sphere, and explain factors contributing to the reproduction of such stigma. This research employs a qualitative approach based on an integrative literature review combined with digital media discourse analysis. Data were collected through scientific literature reviews, social media observations, and analysis of digital content related to sharia discourse. The findings reveal that sharia is often associated with violence, anti-democracy, restrictions on women’s rights, and opposition to modernity due to media simplification and emotionally driven digital content. In addition, low levels of religious digital literacy and the prevalence of echo chambers reinforce the spread of stigma toward Islamic law in virtual public spaces. This study emphasizes the importance of strengthening religious digital literacy and promoting moderate and inclusive Islamic narratives in contemporary digital society.

Nature tourism is one of the sectors that plays an important role in supporting the development of regional tourism, including in Lahat Regency, which has significant waterfall tourism potential. Currently, many visitors share their reviews and experiences through digital platforms such as Google Maps. This review can be used as a source of information to understand the public's evaluation of the quality of tourist attractions. This study aims to examine public perception of tourist attractions in Lahat Regency using the Support Vector Machine (SVM) method. Research data were collected through scraping from Google Maps, totaling 500 reviews from five tourist attractions, namely Curup Maung, Curup Buluh, Senyawe Waterfall, Panjang Waterfall, and Green Canyon. The research stages include data preprocessing, consisting of cleaning, case folding, normalization, tokenization, stopword removal, and stemming. After that, feature extraction was carried out using the TF-IDF method and the classification process using the SVM algorithm. Based on the research results, the Support Vector Machine (SVM) method is able to perform sentiment classification quite well, although the accuracy level varies for each tourist attraction. Curup Maung and Panjang Waterfall achieved the highest accuracy level of 90%. Nevertheless, most visitor reviews were dominated by negative sentiments. This indicates that there are still several aspects that need to be improved, particularly related to tourist facilities and services. This research is expected to serve as a consideration for tourism managers and local governments in efforts to improve management quality as well as the development of tourism in Lahat Regency.

Geographic tongue or benign migratory glossitis is a benign disorder of the oral mucosa that is relatively common in dental practice. This condition is characterized by erythematous areas caused by the loss of filiform papillae surrounded by irregular white borders. To understand the clinical characteristics of geographic tongue and the contributing factors involved in the development of the lesion in order to establish an appropriate diagnosis and provide adequate patient education. A 25-year-old female patient presented with complaints of patches on the tongue for approximately two months. The patient had been following an OMAD (One Meal A Day) diet for one year and reported an allergy to white rice. The patient also had a history of psoriasis. Nutritional deficiencies such as vitamin B complex, vitamin B12, folic acid, iron, and zinc may affect the integrity of the oral mucosa and disrupt the regeneration of the lingual epithelium. These conditions may lead to atrophy of the filiform papillae, resulting in the characteristic erythematous appearance of geographic tongue. In addition, immunological and inflammatory factors associated with psoriasis are also suspected to contribute to lesion development. Geographic tongue is a benign inflammatory condition with a multifactorial etiology, including nutritional deficiencies and immunological factors such as psoriasis. Evaluation of systemic conditions and nutritional status is important to support accurate diagnosis and proper patient management.

Poor soil quality and inefficient nutrient utilization remain major constraints in tomato (Solanum lycopersicum L.) cultivation, often resulting in reduced plant growth, lower productivity, and suboptimal fruit quality. This study aims to evaluate the growth performance of rose tomatoes through the integration of open-field cultivation and hydroponic planting systems. The research methods included land preparation using the Pythagorean technique to ensure proper spacing and planting layout, the application of organic fertilizers to improve soil fertility, and the transition to a hydroponic drip irrigation system using rockwool as the growing medium during weeks 1 to 7 of plant development. Plant growth parameters, including plant height, leaf development, stem vigor, and overall plant health, were observed throughout the cultivation period. The results indicated that the combination of appropriate soil management practices and precise nutrient delivery in the hydroponic system significantly enhanced nutrient uptake and supported healthy plant growth. Furthermore, the drip irrigation system helped optimize water use efficiency while reducing nutrient losses. This integrated cultivation approach demonstrated its potential as an effective solution for maintaining crop quality and productivity, particularly in areas with limited land resources. Overall, the findings suggest that integrated management practices can provide a practical, efficient, and sustainable strategy for farmers seeking to improve horticultural production in modern agricultural systems.

This study aims to determine the production process and the level of consumer acceptance of Bandung nagasari cake utilizing stevia as a natural sweetener and butterfly pea flower extract (Clitoria ternatea) as a natural coloring agent. The research employed a quantitative approach with an experimental method through organoleptic testing involving 20 panelists. Data collection techniques consisted of literature review, questionnaires, and organoleptic evaluation covering taste, texture, aroma, and appearance. The obtained data were analyzed using descriptive quantitative analysis with percentage calculations. The findings indicated that the Bandung nagasari formulation containing stevia and butterfly pea flower extract was more preferred than the formulation using granulated sugar. Approximately 90% of panelists preferred the taste attribute due to its healthier perception, while 80% of panelists favored the texture, aroma, and appearance attributes because of the softer texture and the attractive natural coloration produced by the butterfly pea flower extract. Furthermore, the product demonstrated a shelf life of 12 hours at room temperature and up to 3 days under refrigerated storage conditions. The study concludes that the incorporation of stevia and butterfly pea flower extract may serve as an innovative development of traditional Bandung nagasari cake without eliminating its traditional characteristics and shows favorable consumer acceptance.