Publication Search

This study investigates Qur’an-based healing practices within the Jakarta Qur’anic Structure Studies Community, focusing on the understanding of the Qur’an as Asy-Syifā’ (a source of healing) and the therapeutic application of Qur’anic verses through the Qur’anic Structure method. Employing a qualitative, descriptive-analytical design within a Living Qur’an and phenomenological framework, data were collected through participant observation, in-depth interviews with three key informants, and questionnaires administered to 23 practitioners. The findings show that the community positions the Qur’anic Structure method as an alternative approach to both physical and spiritual healing by treating the entire Qur’an as a medium of cure. This practice is operationalized through four principal patterns: the ‘Ain Structure, Page Structure, Alphabet Structure, and Surah Structure, all of which refer to the 18-line mushaf published by PT Taj Company (Karachi, Pakistan). Practitioners’ testimonies indicate perceived improvements in physical and psychological conditions, framing this method as a form of Qur’anic self-healing (ikhtiar) while reaffirming that ultimate healing belongs solely to Allah SWT.

This study seeks to examine how the element of state financial loss is applied in corruption cases that originate from private-law relationships, specifically in the context of Micro People’s Business Credit (KUR) financing using the Yarnen Porang scheme, as reflected in Decision Number 41/Pid.Sus.TPK/PN.MTR. The central issue addressed is the manner in which the panel of judges construed and affirmed the existence of a state financial loss that, in substance, arose from a civil act, namely the performance of a financing cooperation agreement between a banking institution and an offtaker. By employing a normative juridical approach and conducting an in-depth analysis of the judicial decision, this research concludes that the alleged state financial loss in the a quo case remains merely prospective in nature and does not satisfy the requirement of an actual and definite loss as mandated by positive law. Furthermore, evidence demonstrating that the financing funds were enjoyed by a third party rather than by the accused indicates a misapplication in attributing criminal liability. Consequently, the criminal prosecution of conduct that is essentially civil in character reflects an expansive interpretation of the state loss element, which is inconsistent with the principle of legality and the doctrine of prudence in the enforcement of corruption laws.

Law Number 35 of 2014 on Child Protection plays a strategic role in providing legal protection for children who are victims of violence, bpth physical and psychological. The enactment of this regulation represents the state’s response to the increasing number of violence cases againts children, which necessitate a more comprehensive and child-oriented legal protection system. This law strengthens legal instruments through the recognition and protection of children’s rights, the imposition of criminal sanctions againts perpetators of violence, and th provision of recovery mechanisms for child victims. However, in practice, the implementation of the Child Protection Law continues to face various challenges, including weak law enforment, limited protection fasilities and infrastructure, and inadequate coordination among relevant institutions. These obstacles have resulted in the suboptimal realization of legal protection for child victims of violence. Therefore, the effectiveness of Child Protection Law largely depends on the responsiveness and commitment of law enforcement officials, as wekk as the synergy between the government, society, and families. Through such collaboration, optimal and sustainable child protection can be achieved.

Flower disease detection is a significant challenge in modern agriculture, particularly with factors such as changes in leaf color, petal shape and structure, and environmental conditions affecting the accuracy of conventional models. These factors make it difficult to achieve optimal results using traditional methods. Transfer learning is an effective solution to improve image detection performance, especially when data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The research process included data processing, increasing the data volume using augmentation techniques, model training, and evaluation of the results. Experimental results showed that the EfficientNet-B0 model produced the highest accuracy of 97.2%, significantly better than the CNN model built from scratch with an accuracy of 85.1%. This study demonstrates that transfer learning is highly effective in improving the accuracy of flower disease detection, making it a more reliable alternative to methods that do not utilize pre-trained models, especially for agricultural applications that require high levels of accuracy in disease detection.

Measurement is a fundamental domain of mathematics that connects formal mathematical concepts with everyday experiences. Despite its practical relevance, students often experience persistent difficulties in understanding measurement conceptually, tending to approach it as a procedural activity rather than as a process of reasoning about quantities, units, and comparisons. These challenges indicate that learning measurement is influenced not only by individual cognitive factors but also by the social dynamics that shape classroom learning environments. This study aims to examine classroom social dynamics in learning measurement by providing empirical evidence from contextual learning situations. This study employed a qualitative research approach to explore how social interaction, scaffolding, and participation mediate students’ understanding of measurement in contextual learning environments. Data were collected through classroom observations, video recordings of learning activities, analysis of students’ written work, and interviews with selected students and the teacher. Contextual measurement tasks were designed to encourage collaboration, dialogue, and justification, enabling the examination of student–student and teacher–student interactions as they naturally occurred in the classroom. Data analysis was conducted iteratively to identify patterns of interaction, forms of scaffolding, and students’ learning progression within the Zone of Proximal Development. The findings reveal that students initially engaged with measurement tasks in a predominantly procedural manner, with limited conceptual understanding and minimal peer interaction. After the implementation of contextual learning situations, classroom social dynamics changed substantially. Students became more actively involved in discussion, collaborative problem-solving, and collective meaning-making. Peer interaction supported the articulation and refinement of students’ reasoning, while teacher scaffolding guided learning by extending students’ thinking without providing direct solutions. These social processes facilitated students’ movement from their actual level of understanding toward higher levels of conceptual competence within the Zone of Proximal Development. The study further shows that contextual learning tasks alone are insufficient to promote meaningful understanding unless they are supported by productive social interaction and adaptive scaffolding. Conceptual understanding of measurement emerged through socially mediated processes rather than through task completion alone. This study contributes to mathematics education research by emphasizing the central role of classroom social dynamics in contextual learning and by offering insights into how interaction and scaffolding can be orchestrated to support students’ conceptual understanding of measurement.

This study analyzes the influence of Islamic business ethics principles on online buying and selling transactions in the predominantly Muslim community of South Sumatra. Using a quantitative approach through a survey of 200 respondents in Palembang with a Likert scale questionnaire, the data were analyzed using multiple linear regression with SPSS 26. The results showed that the principle of honesty (sidq) had the strongest significant influence (β = 0.029, p = 0.002), followed by unity (tawhid) (β = 0.016, p = 0.049), while other principles such as balance, free will, and responsibility showed a positive but insignificant influence. The regression model explained 10.3% of the variation in transaction behavior (R² = 0.103). This study concluded that the application of Islamic ethics can increase trust and sustainability in e-commerce in the region, with implications for the development of halal businesses. In the future, the application of these principles is expected to mitigate ethical issues in e-commerce, such as fraud and uncertainty that often occur, as well as strengthen transparency and fairness in online transactions.

This study aims to analyze the effect of using cassava (Manihot esculenta crantz) as a carbohydrate-based feed ingredient on body weight gain in beef cattle. The review was conducted using a descriptive literature study approach based on sixteen scientific articles discussing the nutritional composition, processing methods, and performance responses of beef cattle fed cassava-based diets. The analysis shows that cassava contains 17.45–88.6% dry matter, 2.4–21.45% crude protein, and 11.35–92.2% nitrogen-free extract, with variations influenced by plant part, processing method, and hydrocyanic acid (HCN) content. Processing techniques such as fermentation and ensiling can reduce HCN levels by more than 70% while increasing crude protein content up to 25%, thereby improving digestibility and feed efficiency. The inclusion of cassava in the form of flour, dried chips, pulp, or fermented peel consistently enhances dry matter intake and average daily gain (ADG) of beef cattle at inclusion levels of 20–50% in the diet. Overall, cassava has strong potential as a locally available, economical, and sustainable feed ingredient to improve beef cattle productivity.

This research examines the implementation of the Deep Learning approach in Islamic Religious Education (PAI) learning at SMAN 61 Jakarta and its contribution to the development of students' critical thinking skills. This study was conducted due to the need for a learning model that encourages students to understand religious concepts through active, reflective, and meaningful learning experiences. The purpose of this research is to describe the implementation of Deep Learning in PAI learning and its influence on the development of students' critical thinking skills. This study employs a qualitative method with a descriptive research design, using interviews, classroom observations, and documentation as data collection techniques. The findings indicate that the Deep Learning approach supports students in participating more actively in discussions, analyzing religious issues related to real-life situations, and constructing arguments based on their own understanding. Students also demonstrate improvement in evaluating information, considering diverse perspectives, and providing more reflective responses to classroom problems. The study further identifies several challenges, including limited digital facilities, varying levels of student participation, and teachers’ readiness in managing diverse learning strategies and media. These findings suggest that Deep Learning has strong potential to enhance students’ critical thinking skills when applied systematically and designed to foster active participation and meaningful exploration during the learning process.

Globalization and modernization amid the strong digital flow have become a huge challenges and obstacles for shaping moral and ethics of the students. There are many students who come to the class physically without having readiness and awareness in the study. Teacher as an educator needs to give an efforts in every process of learning with attractive concept and model to give attention and meaning in the study. Through the mindful learning, it is considered capable of giving full attention and self-awareness while studying which in the end not only gives good quality in learning but also shapes islamic ethics in the stundents. This research aims to know the concept, urgency, and the implementation of mindful learning which is capable of shaping islamic ethics. The method of the research is a qualitative approach with a literature study from various readings such as articles and journals that are relevant to the topic. The reasearch results show that mindful learning is a learning process that emphasizes self-reflection and self-awareness so students feel ready and motivated in learning. It shows that deep learning has a huge urgency in shaping student’s Islamic ethics. The implementation of mindful learning in Islamic education Studies is carried out through the pedagogic strategies that emphasize the conditioning of awareness, active students involvement, and deep reflection of Islamic values. Thus, mindful learning is capable of increasing internal awareness through muraqabah with the involving of students in every learning process.

General education at Islamic Religious Higher Education Institutions (PTKI) plays an important role in developing students’ critical thinking skills so they can analyze religious and social issues reflectively and contextually. However, learning practices in PTKI are still dominated by teacher-centered approaches and low cognitive achievement, which limits the development of analytical, evaluative, and problem-solving abilities. Meanwhile, studies show that integrating digital media, particularly video, can improve conceptual understanding, motivation, and cognitive engagement, yet a digital video-based meaningful learning model specifically designed for the PTKI context remains limited. Therefore, this study aims to formulate a Digital Video-Based Meaningful Learning Model (MPBBVD) to enhance students’ critical thinking skills. This research employed a literature review method by analyzing books, scientific articles, research reports, and digital sources related to meaningful learning, constructivism, multimedia learning, digital video use, and critical thinking development. Data were analyzed descriptively and qualitatively to identify the theoretical foundations, learning syntax, and design principles of the model. The findings indicate that MPBBVD integrates Ausubel’s Meaningful Learning theory, constructivist perspectives from Piaget, Vygotsky, and Bruner, Mayer’s Multimedia Learning theory, and the critical thinking framework of Facione and Ennis. The model uses digital video as the main learning medium and applies the ACTIVE stages (Attend, Connect, Think, Interpret, Verify, Evaluate) to promote contextual and interactive learning. Integrating pre-, during-, and post-video activities supports knowledge construction, reduces cognitive load, and increases student engagement, contributing theoretically and practically to improving critical thinking in PTKI in the Industrial Revolution 4.0 era.

Baitul Maal wat Tamwil (BMT) is an Islamic microfinance institution that plays an essential role in expanding financial access for low-income communities and supporting sustainable economic development. This article aims to analyze the role of BMT as an inclusive monetary instrument within the framework of the Sustainable Development Goals (SDGs). The study employs a library research approach with descriptive-analytical methods based on secondary data from books, academic journals, research reports, and official documents. The findings show that BMT significantly contributes to financial inclusion through real-sector-based Islamic financing, especially for micro-enterprises and low-income households. Moreover, BMT’s social function—realized through the management of zakat, infaq, and sadaqah—strengthens income redistribution, poverty alleviation, and community welfare. BMT supports several SDG targets, particularly in reducing poverty, creating decent employment, developing MSMEs, and minimizing socioeconomic inequality. However, the optimization of BMT’s role still faces challenges such as limited capital, governance constraints, digital transformation, and institutional strengthening. Therefore, synergy between BMT, the government, regulators, and the community is needed to enhance BMT’s contribution as an inclusive, sustainable, and Sharia-compliant economic development agent.

A research about study of sandstone slope stability using the Bishop Simplified method in Uu Samarinda has been conducted. This study was conducted to analyze the rebound number values of sandstone slopes, evaluate their stability level, and calculate the safety factor using the Bishop method. The results showed that the rebound number values were 22.34 at point 1, 19.83 at point 2, and 18.07 at point 3. The Uniaxial Compressive Strength (UCS) values at the observation points were 1.90 MPa, 1.62 MPa, and 2.21 MPa, respectively. Geological Strength Index (GSI) evaluation indicated a rating of 80–85, demonstrating intact/massive rock structure, fresh and unweathered rock surfaces, and very good rock quality. Based on the Bishop method analysis, the slope factor of safety in 6.525  with a probability of failure is 0.000%, indicating that the sandstone slope in Ulu Samarinda is highly stable even under external pressures such as heavy rainfall or minor earthquakes. This study provides crucial information on the mechanical characteristics and stability of sandstone slopes in ulu Samarinda, which can serve as a reference for technical planning, geotechnical risk mitigation, and the sustainable development of safe areas.

This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adaptive to the variations of each individual's signature. The main problem faced in the signature recognition system is the low level of accuracy when the visual features of the signature have similarities between users, both in terms of shape, size, and stroke pressure. In addition, variations of signatures made by the same individual are also a challenge in the identification process. As a solution, this study implements Principal Component Analysis (PCA) to extract important features from the signature image before the training process using JST. PCA is used to reduce the data dimension so that the learning process becomes more efficient and optimal. A total of 80 signature images were used in this study, consisting of 60 training data and 20 test data. The results showed that the system was able to achieve an accuracy level of 92.5%. These findings prove that the combination of PCA and JST methods is effective in recognizing digital signature patterns and has the potential to be applied to digital security-based biometric identification systems.

Children living in orphanages face various psychological pressures, such as the loss of attachment figures, unstable social dynamics, and difficulty expressing emotions adaptively. These conditions require appropriate coping strategies to build emotional resilience. This community service activity utilizes a Service Learning (SL) approach, which integrates academic learning with community service. It aims to provide psychoeducation on emotions and coping strategies, and implements expressive writing as a means of emotional processing. The activity methods included interactive lectures, a pretest and posttest to measure understanding, an expressive writing therapy session, and a reflective interview at the end of the activity. Results showed an increase in understanding of emotions and coping strategies, as evidenced by improved posttest scores. Furthermore, expressive writing helped children express previously suppressed emotions, reduced psychological tension, and fostered a sense of relief, calm, and insight into personal problems. Overall, expressive writing has proven effective as a coping strategy in building emotional resilience in orphanage children, and the Service Learning approach has the potential for sustainable application in psychosocial support programs.

This study aims to describe the implementation of environmental literacy through the One Student One Plant Movement program at MI Muhammadiyah Gawang. The research method uses a descriptive qualitative approach. Data collection techniques are carried out using questionnaires and documentation. This program is designed through three main stages, namely environmental literacy socialization, program implementation, and plant care assistance. The results of the study indicate that the program is effective in improving students' environmental literacy, evidenced by the average student environmental literacy score of 62.8 before the program (pretest) with a sufficient category and 82.4 after the program (posttest) with a good category, which indicates an increase of 19.6 or 31.2% in environmental literacy scores. This program also contributes to positive changes in student behavior, such as increased awareness of environmental cleanliness and initiatives in caring for plants. Through these activities, students not only gain knowledge about the environment but also real-life experience in maintaining and caring for plants, connecting theory with practice. This program has succeeded in increasing student awareness and involvement in environmental issues, and can be used as a model for similar programs in other schools.

This article explores the concept of a “House of Faith” as a holistic educational framework designed to build students’ character based on religious values. The fundamental idea of the House of Faith is likened to a school environment that provides a comfortable and safe space for students to develop their faith and noble character through learning activities connected to religious teachings. A religious school environment is created through everyday atmospheres that encourage the practice of worship, the presence of religious symbols, and community activities that strengthen students’ spirituality. Programs to reinforce religious spirit include activities such as communal prayers, religious studies, and social projects designed to gradually enhance students’ spiritual awareness. Teachers and educational staff play a highly effective role, acting as role models and facilitators in the learning process. Their approach to instilling faith and moral values involves interactive methods such as group discussions, inspirational stories, and personal reflection, all adapted to students’ developmental stages. Collaboration between the school and parents becomes a key factor in ensuring consistent support. This is carried out through regular meetings, joint workshops, and open communication that reinforces family values. The impact of religious spirit on students can be seen in increased discipline, social empathy, emotional resilience, and stronger academic motivation. However, implementation faces challenges such as limited curriculum time, diversity of student backgrounds, and cultural resistance. These challenges are addressed through solutions, including regular teacher training, program evaluation, and the integration of technology for distance learning. Overall, the article emphasizes that a school functioning as a House of Faith can shape young generations who are not only intellectually capable but also strong in faith and morals, contributing to a more harmonious and meaningful society.

The development of value-added corn-based beverages representation an emerging opportunity within the agribusiness sector, particularly for student-led entrepreneurial initiatives seeking to utilize local agricultural resources. This study examines consumer perceptions of Zeagrain corn milk, a sweet-corn-derived drink positioned as a healthy, practical, and affordable alternative within the ready-to-drink market segment. The research aims to identify key attributes influencing consumer interest, evaluate perceived product performance, and assess the potential competitiveness of Zeagrain as a new agribusiness product. Data were collected using an online quantitative survey targeting respondents aged 17–35 years who represent potential urban consumers. The questionnaire measured demographic characteristics, consumption patterns of similar beverages, perceived importance and performance of product attributes, and purchase intention. The findings are expected to provide insights into consumer expectations regarding taste, packaging, nutritional value, and price. The results further serve as empirical input for improving product development strategies and enhancing the market readiness of Zeagrain. Ultimately, this study contributes to strengthening the commercialization prospects of corn-based beverages and supports innovation efforts among young agripreneurs seeking to optimize local commodities.  

Polusi udara partikulat halus (PM2,5) merupakan ancaman serius bagi kesehatan masyarakat di Kabupaten Brebes, Jawa Tengah. Faktor penyumbang utamanya adalah emisi kendaraan di jalur Pantura, aktivitas industri perikanan, serta konsentrasi tinggi selama musim kemarau (Juni–November). Tidak adanya model peramalan sub-jam yang akurat menghambat pengembangan sistem peringatan dini yang efektif. Penelitian ini mengembangkan dan mengevaluasi model deep learning berbasis Transformer untuk memprediksi konsentrasi PM2,5 dengan resolusi waktu 15 menit. Data yang digunakan berasal dari NASA GEOS-CF (band PM25_RH35_GCC) yang diakses melalui Google Earth Engine menggunakan API Python. Dataset mencakup periode 1 Januari hingga 22 November 2025, menghasilkan 7.813 observasi per jam, yang kemudian diinterpolasi linear menjadi 31.249 titik data dengan resolusi 15 menit. Arsitektur Transformer terdiri dari 3 lapis enkoder, 4 kepala perhatian multi-head, dimensi embedding 128, dimensi feed-forward 256, panjang sekuen 60 timestep, dan augmentasi fitur menggunakan rerata bergulir (*rolling mean*, jendela = 3) dan beda pertama (*first difference*). Pelatihan dilakukan dengan TensorFlow-Keras, pengoptimal Adam, penjadwal peluruhan kosinus (*cosine decay scheduler*), dan fungsi kerugian Huber. Pembagian data dilakukan secara kronologis: 70% pelatihan, 30% validasi. Evaluasi pada set uji independen (16 Agustus–21 November 2025, 9.357 observasi atau 97 hari 11 jam 15 menit) menghasilkan MAE 0,7691 µg/m³, RMSE 1,2052 µg/m³, R² 0,9945, dan *Explained Variance Score* 0,9948. Model ini mampu menggambarkan variasi diurnal dan anomali musiman secara akurat, jauh melampaui model LSTM dan GTWR konvensional. Penelitian ini memberikan kontribusi signifikan di bidang Teknologi Informasi melalui kerangka kerja pengolahan *big data* satelit untuk aplikasi lingkungan.

The development of e-commerce and social commerce has driven significant changes in student shopping behaviour, including at FEB UNDARIS. Ease of access, digital promotions, and the influence of social media have led students to shop online more frequently, even impulsively. This study aims to analyse how attitudes, subjective norms, and perceived behavioural control interact in shaping students' online shopping behaviour using the Theory of Planned Behaviour (TPB) framework. This study uses a descriptive qualitative method with in-depth interviews with ten students who actively shop online. The data were analysed to understand the experiences, perceptions, and social factors that influence their decisions in digital transactions. The results show that positive attitudes towards efficiency and promotions, social pressure from friends and influencers, and high perceived behavioural control due to technological convenience work simultaneously to reinforce online shopping intentions and actions. These three TPB components support each other and trigger increasingly impulsive consumption patterns in the digital environment.

This study examines the Sufistic dimension in the syafahî interpretation of Habib Muhammad Luthfi bin Yahya regarding the verses of nationality in the Qur’an. Habib Luthfi was chosen as the object because he is a Sufi scholar as well as a national figure who consistently conveys Qur’anic interpretation through oral media, and his ideas demonstrate a combination of Sufi spirituality and nationalism. This study employs a qualitative method with primary data sources in the form of recorded lectures, religious gatherings, and direct interviews, as well as secondary data consisting of scientific literature related to tafsir, Sufism, and nationality. The analysis is carried out through a descriptive-analytical-comparative approach by paying attention to the methodology of tafsir and its Sufistic context. The results of the study indicate that the syafahî interpretation of Habib Luthfi is characterized as Sufistic-thematic with an approach of tafsir bi al-isyâri and bi al-ra’yi al-maqbûl which still rests on the framework of tafsir bi al-ma’tsûr. His interpretation of six verses of nationality emphasizes the value of love for the homeland, obedience to leaders, jihad in social-moral dimensions, the unity of the ummah, collective gratitude in national development, and respect for diversity as part of sunnatullah. Thus, this study affirms that Sufism can function as an ethical foundation of nationality as well as a model of Qur’anic interpretation that is relevant to contemporary Indonesian reality.