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The implementation of public communication ethics codes in governmental policies encounters complex challenges in achieving optimal transparency, accountability, and responsiveness standards. This qualitative research employs library research methodology to analyze the effectiveness of public communication ethics code implementation mechanisms through normative examination of official government communication practices. Systematic content analysis of regulations, policies, and communication practice documentation reveals significant disparities between normative idealities and operational realities in field implementation. Findings indicate structural, cultural, and technological factors serve as primary determinants of implementation success. The digital era and post-truth phenomena present additional complexities in managing ethical public communication. Technological adaptation inadequacies, institutional coordination fragmentation, and organizational commitment variations influence the consistency of communication ethics standard application. A comprehensive evaluation model integrating input-process-output-outcome dimensions is essential for measuring implementation effectiveness. Recommendations encompass institutional capacity strengthening, adaptive regulatory framework reformulation, and development of communicative accountability systems responsive to contemporary dynamics. This research contributes to developing theoretical frameworks for public communication ethics code implementation within Indonesian governmental governance contexts.

This study discusses the implementation of the demonstration method in Aqidah Akhlak learning at MA Al Muttaqin with the aim of describing the implementation process and identifying the perspectives and obstacles experienced by teachers and students. The demonstration method was selected because it is considered capable of instilling the values of faith and morality in a concrete and applicable manner, enabling students not only to understand the material theoretically but also to practice it in their daily lives. This research employed a descriptive qualitative approach with data collection techniques including classroom observations, in-depth interviews with teachers, the school principal, and students, as well as supporting documentation such as lesson plans and activity photographs. The collected data were analyzed through data reduction, data presentation, and conclusion drawing, and their validity was ensured through triangulation techniques. The findings indicate that the demonstration method was implemented in a planned manner through stages of preparation, implementation, and simple evaluation. Teachers actively demonstrated the learning material, while students were directly involved through practical activities and discussions. The method proved effective in enhancing students’ understanding, practical skills, and the development of Islamic attitudes and behaviors. Despite challenges such as limited time, large class sizes, and inadequate facilities, the demonstration method shows significant potential to improve the quality of Aqidah Akhlak learning when managed optimally.

The development of information technology requires innovative learning media to improve the quality of instruction in elementary schools. One technology-based learning medium that can be utilized is Kahoot as an interactive quiz. This study aims to describe the implementation of Kahoot in science learning on the topic of plant structure and functions and its effects on students’ conceptual understanding, learning activeness, and motivation in fourth-grade elementary school students. This research employed a descriptive approach with data collection techniques including observation, learning outcome tests, and documentation. The results indicate that the use of Kahoot creates a more interactive and engaging learning environment, increases students’ active participation, and enhances their understanding of plant structure and function concepts. In addition, Kahoot is effective as an evaluation tool because it provides immediate feedback and presents learning outcomes quickly and systematically. However, the use of Kahoot also has limitations, particularly its dependence on the availability of digital devices and stable internet access. Therefore, Kahoot can be used as an innovative alternative learning medium, provided that school conditions are considered and it is combined with other learning methods to optimize science learning.

This study examines the dynamics of public service delivery at the Office of Cooperatives, Small and Medium Enterprises, and Trade in Tegal Regency, focusing on its role in supporting local economic development. The background of this research is rooted in the increasing demand for effective, transparent, and responsive public services, particularly for cooperatives, micro, small, and medium enterprises (MSMEs), and the trade sector, which are key drivers of regional economic growth. The objective of this study is to analyze the quality and dynamics of services provided by the office, identify supporting and inhibiting factors, and assess their implications for service improvement. This research employs a qualitative descriptive method, using data collected through interviews, observations, and document analysis involving government officials and service users. The findings indicate that service delivery has shown positive developments through procedural improvements and service innovations; however, challenges remain in terms of human resource capacity, infrastructure limitations, and coordination mechanisms. These dynamics significantly influence the effectiveness of policy implementation and stakeholder satisfaction. The study implies that strengthening institutional capacity, enhancing digital-based services, and improving service professionalism are essential to achieving more optimal public service performance. The results of this research are expected to contribute to policy evaluation and serve as a reference for improving public service management in local government institutions, particularly in the cooperative, MSME, and trade sectors.

This paper aims to describe the implementation and development of the Merdeka Curriculum at SD IT Permata Hati Entrop, an Integrated Islamic Elementary School. As an educational institution with a vision of integrating general knowledge with Islamic values, SD IT Permata Hati adapts the national curriculum to create learning that is more flexible, focused on essential content, and character-based. This curriculum is developed to optimize students’ potential holistically, encompassing cognitive, affective, and psychomotor aspects through the strengthening of the Pancasila Student Profile.The main focus of curriculum development at this school consists of three pillars: innovative intracurricular learning, the Project for Strengthening the Pancasila Student Profile (P5), and extracurricular activities that support students’ interests and talents. In its implementation, the school applies active learning methods such as Problem-Based Learning (PBL) and contextual learning linked to daily life and Islamic principles. The evaluation process is conducted through formative and summative assessments that are humanistic and reflective in nature. The outcomes of this development are expected to equip students with 21st-century skills and strong religious character in accordance with the demands of the times.

The study titled “Designing a Web-Based E-Module for Empowering Tenth-Grade Students’ Writing Skills in Descriptive Text” aims to develop a digital learning medium to improve students’ descriptive writing abilities. The research applies a Design and Development (D&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation, supported by a descriptive quantitative method. The study addresses limitations of traditional, teacher-centered instruction that relies heavily on printed materials by integrating technology into the learning process. The research begins with an analysis of existing teaching practices and learning resources for descriptive text writing. Based on this analysis, a web-based e-module is designed to provide a more interactive and engaging learning experience. The module includes structured materials such as definitions, purposes, text structures, language features, examples, and practice exercises. The e-module is then implemented in a tenth-grade classroom setting, followed by an evaluation of its effectiveness using quantitative data. The results indicate that the web-based e-module effectively improves students’ descriptive writing skills. Interactive features, including multimedia content, self-paced activities, and immediate feedback, enhance students’ motivation and active participation. Teachers and students report positive perceptions regarding the practicality, accessibility, and usefulness of the e-module. Pre-test and post-test results also show a clear improvement in students’ writing performance. Overall, the study concludes that web-based e-modules are a promising instructional medium for enhancing writing skills and supporting student-centered, technology-integrated English language learning.

The development of information and communication technology requires students to have digital literacy and communication skills as essential competencies for the 21st century. However, limited infrastructure and low technological literacy remain obstacles in a number of schools, including Moria High School in Sorong City. This activity aims to improve computer network technology literacy and students' speaking skills through a hands-on, practice-based training approach. The method used is qualitative with stages of observation, socialization, training, and evaluation. Computer network training includes an introduction to basic networking concepts, cabling practices, and network simulations using Cisco Packet Tracer. While speaking skills training is conducted through role-play techniques, repetition, and direct feedback. The results of the activity showed an increase in students' understanding of computer network technology, technical practical skills, and increased confidence and clarity in speaking. Evaluations showed that most participants were able to apply the material presented conceptually and practically. Thus, this activity has proven effective in improving students' computer network technology literacy and speaking skills as preparation for facing 21st-century learning and the world of work in the digital era.

This community service program aims to enhance the capacity of UMKM Mentari Padangsari in developing visual content to strengthen branding and competitiveness. It is hoped that this training activity will have an impact on the development of MSMEs in Padangsari sub-district.The main problems faced by partners include limited skills in creating product photos, graphic designs, promotional videos, and managing social media consistently. The program was implemented through training, mentoring, and evaluation stages involving 14 UMKM actors in Padangsari Village, Semarang City. Training materials focused on product photography using smartphones, simple graphic design, short promotional videos, visual storytelling, and the use of digital platforms such as social media and Google Business are  considered very necessary in this era of rapid technological development. The results show increased knowledge and skills among UMKM actors in producing more attractive visual content, improving brand identity, and enhancing engagement on social media. This program contributes to strengthening UMKM competitiveness and supports sustainable digital-based marketing practices.

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

This study aims to analyze the collective kiai leadership policies in enhancing the quality of madrasah education at Bahrul Ulum Islamic Boarding School, Tambakberas, Jombang. Using a qualitative research method with a phenomenological approach, the study collects data through in-depth interviews, structured observation, and documentation. The data analysis process involves three stages: data condensation, data display, and conclusion drawing. The study reveals that the formulation of collective leadership policies is based on the need to achieve religious goals, legal foundations, and community needs. These policies are oriented toward problem-solving and continuity, formulated through deliberation and consensus involving all kiai leaders of both formal and non-formal educational institutions within the pesantren. The implementation of these policies emphasizes scholarly sanad and intellectual tradition across all educational institutions. Key aspects include educational administration, human resource development, strengthening formal education based on national accreditation standards, providing entrepreneurship education, and participating in faith-based as well as science and technology competitions at national and international levels. The evaluation of these policies is carried out collectively by all caretakers and leaders in alignment with established policies to ensure quality improvement across the pesantren’s formal and non-formal educational institutions.

The implementation of the Health Workload Analysis (ABK Kes) method reveals both strengths and weaknesses, particularly regarding the suboptimal execution of core tasks such as filing and distributing medical records. This study aims to compare the workload of health human resources (SDMK) between primary and advanced healthcare facilities—specifically Banyudono 1 Public Health Center and Indriati Boyolali Hospital—both of which have implemented hybrid medical record systems. Using primary data collected through interviews and observations and analyzed via the ABK Kes method, the results indicate a need for 10 additional staff members in the Casemix Unit at Indriati Boyolali Hospital and 2 additional medical record practitioners at Banyudono 1 Public Health Center. The Available Working Time (WKT) at the Public Health Center was set at 75,000 based on the Minister of PAN-RB Regulation No. 1 of 2020, whereas the Hospital used real-time calculations. While the Public Health Center aligns its policies with Ministry of Health Regulation No. 19 of 2020, the Hospital adjusts its staffing needs based on the ABK Kes results. Given that this method focuses primarily on quantity, future research and development (R&D) should integrate Lean Thinking for process analysis, ABK Kes for capacity, Queueing Theory for dynamic analysis, and NASA-TLX for psychological evaluation to provide a more holistic assessment of staffing needs.

This article aims to analyze the role of human resource management in improving organizational performance and formulate strategic recommendations based on improvements in human resource management practices. The theoretical foundations used include strategic human resource management theory, organizational performance theory, and work motivation theory, which are used to examine the functions of workforce planning, competency development, performance appraisal, and reward systems. This study employed a qualitative, descriptive-analytical approach, with data collection techniques including in-depth interviews, non-participant observation, and documentation studies. Data analysis was conducted using an interactive qualitative analysis model that encompasses data reduction, data presentation, and conclusion drawing. The analysis results indicate that workforce planning based on organizational needs, continuous competency development, an objective performance appraisal system, and a performance-based reward system are directly related to increased effectiveness, productivity, and stability of organizational performance. Furthermore, efforts to improve human resource management practices through policy evaluation, strengthening strategic planning, enhancing internal communication, and data-driven decision-making have proven to be a strong foundation for formulating strategic recommendations for the organization. The study's conclusions confirm that the systematic and strategic integration of human resource management functions is a key factor in achieving sustainable organizational performance and adapting to changes in the work environment.

Breast cancer represents a significant public health challenge in Indonesia, accounting for the highest incidence with 68,858 new cases annually (16.6%). This study aimed to evaluate the therapeutic potential of bioactive compounds derived from Zingiber officinale (ginger) as anticancer agents, specifically against estrogen receptor-positive (ER+) breast cancer through the inhibition of estrogen receptor alpha (ERα). Utilizing molecular docking simulations, six active ginger compounds were assessed against the 3ERT receptor. Dihydrocurcumin and tetrahydrocurcumin were identified as the most promising candidates, exhibiting superior binding affinities of -8.091 kcal/mol and -7.565 kcal/mol, respectively, indicative of stable ligand-receptor interactions. A complementary in silico pharmacokinetic evaluation using pkCSM for zingerone, dihydrocurcumin, and tetrahydrocurcumin revealed favorable ADMET profiles, characterized by good intestinal absorption, adequate tissue distribution, low toxicity, and non-mutagenicity. Collectively, these findings underscore the significant potential of these ginger-derived compounds as promising lead candidates for the development of natural product-based breast cancer therapies

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 is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

This study aims to describe the implementation of learning methods, assessment systems, and learning evaluation in the Philosophy of Science course at STAI Al-Andina Sukabumi, particularly for first-semester students. The research employed a qualitative approach with a descriptive design. Data were collected through semi-structured interviews with the course lecturer to explore the rationale for selecting the lecture method, assessment practices, and evaluation strategies applied in the learning process. The findings indicate that the lecture method combined with guided discussion was chosen as an adaptive strategy to help students develop a conceptual foundation for abstract and theoretical material. The assessment system places greater emphasis on student attendance and participation as a form of process-oriented assessment that encourages active engagement. Learning evaluation is conducted continuously through technology-based quizzes to monitor students’ understanding progressively. These results suggest that the Philosophy of Science learning process at STAI Al-Andina has adopted a contextual and formative pedagogical approach; however, further development of more varied assessment and evaluation methods is still needed to accommodate students’ diverse abilities.

This community service activity aims to enhance participants' digital competency through responsive web design training conducted using integrated webinar and workshop methods. The background of this activity is based on the increasing need for adaptive web development skills across various devices to support digital personal branding. This activity involves university students and the general public and is conducted online utilizing modern communication platforms. The implementation method consists of preparation, implementation, and evaluation stages. In the implementation stage, participants attend webinar sessions to strengthen conceptual understanding of responsive web design principles, followed by workshop sessions that emphasize hands-on practice in website creation using HTML, CSS, and JavaScript. Evaluation is conducted through pre-tests and post-tests to measure program effectiveness. The results show a significant increase in participants' digital competency with an average score increase of 55.8%. These findings indicate that the integration of webinar and workshop methods is effective in improving participants' conceptual understanding and technical skills. This activity is expected to serve as a model for community service based on applicable and sustainable digital competency development.

This outreach program aims to improve students' understanding of organizational management as part of an effort to develop a young generation with organizational insight at SMA Negeri 1 Ampel. The implementation of this outreach program is motivated by the importance of providing students with management concepts, organizational structures, and self-management skills so they can participate actively and effectively in various school organizational activities. The outreach program is delivered through material presentations and the use of interactive media in the form of Kahoot games designed to facilitate students' understanding of management concepts in a more engaging, enjoyable, and easily applicable way. Evaluation is conducted using a questionnaire covering five aspects: understanding of management concepts, awareness of the importance of management in life, effectiveness of interactive media, motivation to become leaders, and the ability to organize and plan for the future. The evaluation results show that this outreach program is able to broaden students' horizons, increase leadership motivation, and help them focus more on designing future goals. Thus, this outreach program is considered effective in supporting the development of a young generation with organizational insight in a sustainable manner.

This study examines the development of a Crude Palm Oil (CPO) price forecasting model using an artificial neural network algorithm, specifically the backpropagation algorithm. As one of Indonesia’s main export commodities, CPO has a significant economic impact and influences the income of oil palm farmers. The CPO price data used in this study were obtained from CIF Rotterdam, covering the period from January 2019 to December 2023. The research methodology consists of several stages, including data collection, preprocessing, model design, and model implementation using Python programming. The training results of the backpropagation algorithm show an error value of 0.537829578 after 1,000 epochs, while the evaluation using Mean Squared Error (MSE) indicates an MSE of 0.022709 during the training process and 0.017604 during the testing process. The model also produces CPO price predictions for the next three months, namely 932.578 for the first month, 949.568 for the second month, and 774.855 for the third month. These findings indicate that the developed model is capable of predicting future CPO prices with adequate accuracy, which can assist companies in making better financial decisions and managing risks associated with CPO price fluctuations.

The implementation of the Merdeka Curriculum requires teachers to possess adequate competence in developing contextual and meaningful Madrasah Lesson Plans (RPM). One of the main challenges lies in teachers’ ability to integrate deep learning approaches into instructional planning. This community service program aimed to enhance the competence of teachers at SD IT Al-Markazul Islami in developing deep learning–based Merdeka Curriculum lesson plans. The program employed a structured and participatory approach through training and mentoring activities, including conceptual presentations, group discussions, and hands-on practice in lesson plan development. Evaluation was conducted using a competence questionnaire administered to 20 participating teachers in the pretest and posttest stages. The data were analyzed descriptively. The results indicated that teachers’ competence scores in the pretest ranged from 54 to 63, with a mean score of 58.7, which fell into the moderate category. Following the intervention, posttest scores increased to a range of 89–97, with a mean score of 92.9, categorized as high. The improvement in scores ranged from 33 to 35 points for each participant. These findings demonstrate that the training and mentoring activities were effective in enhancing teachers’ competence in developing lesson plans aligned with the principles of the Merdeka Curriculum and deep learning approaches.