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Pemberdayaan Guru Sekolah Dasar melalui Pengembangan Modul Ajar Interaktif Berbasis Artificial Intelligence dengan Pendekatan Deep Learning untuk Meningkatkan Kapasitas Pengajaran Berkelanjutan

Tustiyana Windiyani, Resyi Abdul Gani, Deddy Sofyan S, M.Zainal Arifin, Septiani, Khayla Shafia Abdillah
Abstract: Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru sekolah dasar dalam mengembangkan modul ajar interaktif berbasis Artificial Intelligence (AI) dengan pendekatan deep learning guna mendukung kapasitas… apasitas pengajaran berkelanjutan di era Society 5.0. Kegiatan dilaksanakan melalui workshop menggunakan model pengembangan 4D (Define–Design–Develop–Disseminate) yang melibatkan 11 guru SDN Selakopi, Bogor Barat sebagai peserta. Tahap define dilakukan melalui analisis kebutuhan dan literasi AI guru; tahap design berupa perancangan modul ajar berbasis TPACK dan pendekatan deep learning; tahap develop melalui validasi, uji coba workshop, serta evaluasi menggunakan angket skala Likert empat poin; dan tahap disseminate diarahkan pada potensi replikasi program. Hasil evaluasi menunjukkan rata-rata skor kepuasan sebesar 3,72 dengan persentase capaian 93% dalam kategori sangat puas. Skor tertinggi terdapat pada aspek kejelasan materi (3,9), sedangkan skor terendah pada aspek keberlanjutan program (3,4). Temuan ini menunjukkan bahwa workshop efektif meningkatkan literasi AI, kepercayaan diri, dan kemampuan desain pembelajaran guru. Kebaruan penelitian ini terletak pada integrasi pendekatan deep learning dalam desain bahan ajar interaktif berbasis AI melalui model 4D yang sistematis dan kontekstual pada level sekolah dasar. Implikasinya, model pemberdayaan ini berpotensi direplikasi untuk memperkuat pengembangan profesional guru secara berkelanjutan.

The Effect of Algorithmic Performance Appraisal on Employee Trust in Digital and Technology-Based Companies

Rini Anisyahrini, Winne Wardiani, Azizun Kurnia Ilahi, Anita Asnawi, Mochammad Arfani
Abstract: This study examines how employees perceive and trust Algorithmic Performance Appraisal (APA) in digital-native and technology-driven companies. Adopting Organizational Justice Theory, the Trust in Technology Framework, and… nd Cognitive Appraisal Theory, the research explores both the direct and indirect effects of APA on employee trust, with Perceived Procedural Fairness (PPF) as a mediating variable. The study uses a quantitative, cross-sectional approach, collecting data from 200 employees in technology-based organizations and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that APA significantly enhances both procedural fairness and employee trust, with PPF playing a partial mediating role in this relationship. These findings underscore the importance of transparency, procedural legitimacy, and avenues for employee voice in cultivating trust in algorithmic systems. The study’s theoretical contribution lies in its integration of multiple perspectives on trust and fairness within algorithmic HR management. The practical implication calls for the careful design and implementation of APA systems that employees perceive as fair and trustworthy. Future research should investigate these relationships in longitudinal and multi-contextual settings to deepen the understanding of trust dynamics in evolving AI-mediated work environments.

The Transition from Conventional Constitutions to Digital Law: Constitutional Law Challenges in the Age of Artificial Intelligence

Septia, Sya’baniatie Ninda
Abstract: The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions… teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.

Principles of Emotions Affecting Learning and Social Learning in Elementary School

Resyi Abdul Gani, Asep Supena
Abstract: This study aims to develop a comprehensive constellation model and identify optimal strategies for strengthening lecturers’ professional commitment in the largest private universities in Bogor. Penelitian ini mengkaji secara&#8230; secara mendalam bagaimana emosi dan belajar sosial memengaruhi proses pembelajaran di sekolah dasar melalui perspektif neuropedagogik dan brain‑based learning. A mixed methods approach was used by combining quantitative analysis (meta-analysis of 173 respondents and 47 indicators of NP, EC, OB, MS, BS) and descriptive qualitative analysis using thematic analysis techniques on semi-structured interviews with five elementary school teachers. The meta-analysis results showed a very strong average effect of the latent construct relationship (t(128) = 12.92; p < 0.001; r ≈ 1.00) with almost zero heterogeneity (Qₑ(128) = 1.67; τ² = 0; I² = 0%), and no significant moderating effects were found for all indicators; the partial meta-regression coefficients for all items were very close to zero and the R² value was 0.000. Qualitatively, three main themes emerged: (1) positive emotions as the foundation of learning readiness, (2) social interaction as a reinforcement of meaning formation, and (3) contextual learning that integrates cognitive, emotional, and social dimensions. Although most teachers have not yet mastered the concepts of neuropedagogy and brain-based learning theoretically, they have intuitively implemented its principles through motivation, praise, humor, group work, collaborative projects, and learning experiences relevant to students' real lives. These findings support the latest theory that places emotions and social interactions as the main drivers of brain function in learning (Immordino Yang, 2016; Tyng et al., 2017; Vygotsky, 1978; Jensen, 2008), and emphasizes the importance of strengthening teachers' competence in understanding and designing brain- and emotion-based learning to support the holistic development of elementary school students.

Integration of Neuroscience Principles in Science Learning Media: A PICO-Based Systematic Literature Review

Winarni, Susi, Supena, Asep
Abstract: Science education at the elementary school level plays a crucial role in fostering scientific thinking, curiosity, and problem-solving skills from an early age. Nevertheless, science instruction in elementary schools often&#8230; en remains teacher-centered, verbalistic, and insufficient in promoting meaningful scientific literacy. In response to these challenges, neuroscience provides a theoretical and empirical foundation for designing learning media that align with how the brain processes, stores, and retrieves information. This study aims to systematically examine the integration of neuroscience principles into science learning media and their effects on elementary students' scientific literacy. A Systematic Literature Review (SLR) was conducted using the PICO framework (Population, Intervention, Comparison, Outcome). Relevant peer-reviewed studies published between 2019 and 2024 were retrieved from Scopus, Google Scholar, ERIC, and DOAJ databases. The review followed four stages: identification, selection, quality appraisal, and thematic synthesis. The results indicate that neuroscience-based interventions—such as Augmented Reality (AR), Brain-Based Learning (BBL), interactive multimedia, and multisensory instructional strategies—consistently improve students' motivation, attention, conceptual understanding, critical thinking, and scientific literacy compared to conventional instructional approaches. The novelty of this study lies in its systematic synthesis of neuroscience-based science learning media through a PICO-oriented framework, highlighting the interaction between cognitive, affective, and technological dimensions of learning. The findings provide important implications for science education, particularly in guiding the development of neuroscience-informed learning media and instructional designs to enhance scientific literacy in elementary schools.

Application Of Neuroplasticity Principles In Primary School Learning : Analysis Of Instruments And Interviews With Teachers At Dharma Putra Primary School

Anwar Marasabesy, Asep Supena
Abstract: This study aims to examine in depth the application of neuroplasticity principles in learning at elementary schools, focusing on the teaching practices of five teachers at SDS Dharma Putra. Neuroplasticity, as a core concept&#8230; cept in neuroscientific learning, describes the brain's ability to form, strengthen, or modify neural networks through experience, repetition, meaningful activities, and students' emotional involvement. Given the characteristics of elementary school students who are at a stage of cognitive development that is highly responsive to learning environment stimulation, a study of the application of neuroplasticity by teachers is important to ensure that the learning process is in line with the brain's working mechanisms.This study used a neuropsychological instrument measuring the dimensions of neuroplasticity to assess four main indicators, namely repetition & practice, dedicated time for review, use of interactive activities, and contextual learning that connects the material to students' real experiences. The data was reinforced through in-depth interviews and thematic analysis of the learning strategies applied by each teacher. The results showed variations in application between teachers. Some teachers showed strong implementation in interactive activities and contextual learning (score of 5), while structured repetition showed lower consistency (score of 3). The interview findings reinforced the instrument results by showing patterns of strategies such as the use of inspirational stories, educational games, quizzes with prizes, conveying the benefits of learning, and scaffolding through easy material as a starting point. This study concludes that the application of neuroplasticity principles is present in teachers' teaching practices, although the level of depth and routine still needs to be strengthened. The theoretical implication confirms that learning that integrates positive emotions, collaborative activities, planned repetition, and contextualization of material has the potential to have a significant impact on the formation of students' neural networks. Practically, this study provides recommendations for strengthening neuroscientific learning-based instructional design as an effort to optimize the learning process of elementary school students.

Legal Protection for Teachers Against Threats of Physical Violence from Parents at School

Tatik Ernawati, M. Syahrul Borman, Dedi Wardana Nasoetion, Vallencia Nandya Paramitha, Hartoyo Hartoyo
Abstract: The teaching profession plays a strategic role in advancing national education, as mandated by the 1945 Constitution of the Republic of Indonesia. However, teachers frequently face challenges, including threats of physical&#8230; al violence from students’ parents, which undermine their dignity and safety in the educational environment. This study addresses the problem of how legal frameworks provide protection for teachers and whether existing regulations adequately ensure their rights and security. The research aims to analyze the effectiveness of legal protection for teachers under the Criminal Code, Law No. 14 of 2005 on Teachers and Lecturers, Law No. 35 of 2014 on Child Protection, and Ministerial Regulations concerning teacher protection. The study employs a normative juridical method with a statute, conceptual, and case approach, relying on primary, secondary, and tertiary legal materials, analyzed through qualitative interpretation and juridical argumentation. The results indicate that although legal instruments exist, their implementation remains weak due to the absence of technical regulations, limited institutional coordination, and insufficient support systems for teachers at the school level. The study concludes that derivative regulations and integrated mechanisms are essential for ensuring effective protection. It recommends strengthening inter-agency coordination, establishing school-level protection units, and enhancing teachers’ legal literacy.

Legal Safeguards for Justice Collaborators in Murder Cases: The Richard Eliezer Verdict Analysis

Charles Ardani, Sri Astutik, Vieta Imelda Cornelis, Siti Marwiyah, Bachrul Amiq
Abstract: Justice collaborators, or "crown witnesses," have become essential in modern criminal justice systems, particularly in dismantling organized crime and uncovering complex murder cases. This study explores the legal protections&#8230; tions afforded to justice collaborators in Indonesia through a doctrinal analysis of the Supreme Court Decision No. 1704 K/PID.SUS/2022, commonly known as the Richard Eliezer verdict. The objective is to critically examine the adequacy and application of legal safeguards provided to individuals who cooperate with law enforcement while implicated in serious crimes. Employing normative legal research methods and a statutory and case approach, the paper reveals discrepancies in the implementation of protections for justice collaborators. While the Indonesian Witness and Victim Protection Agency (LPSK) offers procedural protections, this analysis identifies significant gaps in enforcement, judicial interpretation, and institutional coordination. The findings underscore a need for stronger legislative frameworks and consistent judicial standards to uphold the rights and safety of justice collaborators. The implications extend to criminal law reform and the balancing of retributive justice with restorative mechanisms. This study contributes to the legal discourse on human rights protections in criminal procedure, particularly concerning vulnerable individuals assisting the justice system under duress or threat.

Optimizing The Strengthening Of Lecturer’s Professional Commitment Based On Local Wisdom And Organizational Support

Fitri Anjaswuri, Soewarto Hardhienata, Suhendra Suhendra
Abstract: This study aims to construct an integrated constellation model and determine optimal strategies for reinforcing lecturers’ professional commitment at leading private universities in Bogor. Utilizing the POP-SDM (Modeling&#8230; ng and Optimization of Management Resources) framework, the research integrates elements of local wisdom and organizational support within a systemic approach to human resource development. The exploratory qualitative phase involved in-depth interviews and focus group discussions to uncover major determinants influencing professional commitment. From the thematic analysis, four principal variables emerged—teamwork, organizational climate, religiosity, and work motivation—which were validated through expert judgment. Quantitative verification was subsequently performed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) technique to examine both direct and indirect relationships among constructs. The analysis confirmed that all variables exert positive and significant effects on lecturers’ professional commitment, with work motivation being the most dominant factor. To refine improvement priorities, the SITOREM (Scientific Identification Theory for Conducting Operational Research in Educational Management) method was applied, identifying indicators that should be improved, maintained, or further developed. The findings offer empirical and practical insights, including: (1) a validated POP-SDM–based commitment model combining cultural and organizational dimensions; (2) evidence-based strategies to enhance lecturer professionalism; and (3) an optimization framework to guide sustainable lecturer development in higher education institutions.

Exoneration Clause in Freight Forwarding Agreements from the Perspective of Consumer Protection

Indah Nuraini, Nur Handayati, Wahyu Prawesti, Hartoyo Hartoyo, Noenik Soekorini
Abstract: Freight forwarding agreements in Indonesia frequently contain exoneration clauses that exempt logistics providers from liability for loss or damage, raising serious concerns regarding consumer protection. While such clauses&#8230; ses are designed to manage contractual risk, they often conflict with the principles enshrined in Law No. 8 of 1999 on Consumer Protection (UUPK), particularly those ensuring fairness, good faith, and legal accountability. This study investigates the legality and ethical implications of exoneration clauses within standard-form freight forwarding contracts used by companies such as JNE, TIKI, and SiCepat. Employing a doctrinal legal research methodology, the study integrates statutory, conceptual, and case-based approaches to analyze primary legislation, judicial decisions, and relevant legal doctrines. It critically evaluates the use of these clauses in light of consumer rights, contract theory, and the economic impact on service quality. Findings reveal that exoneration clauses not only contravene the UUPK but also create systemic contractual imbalances due to the lack of negotiation opportunities and transparency. The study proposes a normative legal framework for reform, including clause classification, interactive consent mechanisms, and regulatory enforcement to ensure contractual fairness. This research contributes to both legal scholarship and policy development by highlighting the urgent need for doctrinal clarity and regulatory oversight in Indonesia's logistics sector.