Abstract:This study analyzes the implementation of the waiting list policy in the administration of the Hajj pilgrimage at the Office of the Ministry of Religious Affairs of Central Maluku Regency. A descriptive qualitative approach…
ach was used to examine how the policy is translated into public service practices, particularly in a local context where the waiting period has reached approximately 18 years, with about 2,500 prospective pilgrims and an annual quota of 135 people. Data were obtained through interviews, observation, and document review involving officials responsible for Hajj and Umrah services and relevant community informants. The data were analyzed using the interactive model of Miles, Huberman, and Saldana, consisting of data condensation, data display, and conclusion drawing. The findings show that policy implementation is supported by four interrelated factors: bureaucratic structure, resources, communication, and the disposition of implementing officers. A clear organizational structure and standard operating procedures facilitate coordination and accountability. Competent human resources, adequate facilities, and the use of Siskohat strengthen service accuracy and transparency. Multi-channel communication helps reduce misunderstanding, while professional and empathetic officer attitudes build public trust. The novelty of this study lies in its local-level analysis of Hajj waiting list implementation in an archipelagic regency. The study implies that transparent, responsive, and humanistic public services are essential for maintaining fairness and legitimacy in long-term Hajj queue management.
Abstract:This study aimed to analyze the response of several cayenne pepper varieties (Capsicum frutescens L.) on the growth and yield of cayenne pepper cultivated in the cocoa (Theobroma cacao L.) alley cropping system. The research…
arch was conducted from April to July 2025 at Mon Jambe Village, Jeumpa District, and the Kopbun Suka Tani Sejahtera Business Research Center, Kota Juang District, Bireuen Regency. The experiment employed a Randomized Block Design (RBD) with four varieties as treatments and three replications, resulting in 12 experimental units. The tested varieties were Rajo, Genie, Bara, and Tetra Hijau. Data were collected through observations of plant height, number of leaves, number of fruits, fruit weight, and fresh biomass weight, and were analyzed using analysis of variance (ANOVA) to determine differences among treatments. The results showed that the varietal factor had a highly significant effect on leaf number and a significant effect on fruit number and fruit weight. The Bara variety exhibited the most adaptive and productive performance under the cocoa alley cropping system, as indicated by superior vegetative growth and yield compared to other varieties. The novelty of this study lies in emphasizing that varietal selection is a key factor in optimizing the utilization of cocoa alley spaces for cayenne pepper cultivation. These findings are expected to provide a scientific basis for developing cayenne pepper cultivation technologies in cocoa alley systems and to serve as a reference for further research on adaptive variety development under such environmental conditions.
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.
Abstract:The rights of justice collaborators (JCs) to obtain sentence reductions in murder cases remain inconsistently applied within Indonesia’s criminal justice system. This research addresses three core issues: the normative legal…
legal basis for JC rights, the consistency of judicial decisions in granting those rights, and the necessity for legal reform. Using a normative juridical approach supported by document analysis and expert interviews, the study examines Law No. 31/2014, SEMA No. 4/2011, and recent judicial decisions, including the high-profile cases of Richard Eliezer and Abdul Khoir. Findings reveal that while legal provisions exist, the absence of detailed indicators, formal mechanisms for status determination, and binding multi-institutional coordination leads to implementation gaps. Judicial discretion remains unchecked, resulting in unequal treatment of justice collaborators with similar contributions. The study concludes that a lex specialis law is urgently needed to standardize definitions, evaluation mechanisms, and inter-agency protection schemes. Recommendations include harmonization of technical norms, incorporation of JC recognition in verdicts, and alignment with UNCAC and UNTOC standards. This would strengthen legal certainty, uphold the principle of nulla poena sine lege, and enhance the effectiveness of the criminal justice system in addressing serious crimes through systemic cooperation.
Abstract:The discourse on casino legalization in Indonesia arises as a response to the widespread illegal gambling that remains difficult to eradicate despite being prohibited under the Criminal Code (KUHP), Law No. 7 of 1974, and…
d the Electronic Information and Transactions Law (ITE). The gap between legal norms (das sollen) and social reality (das sein) shows that prohibition alone has not been effective. This research uses a qualitative method with a normative juridical approach based on legislation and a comparative approach, particularly examining Malaysia and Singapore, which have successfully managed casinos through strict regulations. The findings indicate that casino legalization in Indonesia could serve as an alternative fiscal policy, provided that clear regulations are established, ensuring economic benefits such as increased state revenue and effective control over illegal gambling, without undermining national morals and values.
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.
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…
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.
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…
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.
Abstract:This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest…
t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.
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…
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.