Dalam memberikan pelayanan, baik publik maupun sosial, terdapat aturan formal yang biasa dikenal dengan istilah standard operational procedure (SOP). SOP memberi tuntutan kepada petugas agar bekerja melayani secara profesional. Secara praktis, kinerja profesional seringkali dipisahkan dari kinerja pelayanan. Kinerja pelayanan memiliki objek pelayanan berupa manusia yang membutuhkan uluran bantuan, sehingga aspek rasa perlu dilibatkan agar pelayanan dapat diberikan secara maksimal. Penelitian ini bertujuan untuk mengenalkan konsep empati sebagai landasan yang perlu diperhatikan dalam memberikan pelayanan berdasarkan perspektif Al-Qur’an dan Hadits. Temuan data dianalisis menggunakan teori hermeneutika melalui diskursus terhadap ayat-ayat Al-Qur’an dan didukung dengan teks-teks Hadits. Hasil dari penelitian ini adalah adanya ayat Al-Qur’an dan teks Hadits yang membahas soal nilai dan praktik empati dalam bentuk (1) anjuran dan perintah dalam membantu sesama dengan bantuan yang baik, tindakan yang baik, dan tutur kata yang baik, (2) larangan untuk menghina, menyakiti, dan merendahkan orang lain, dan (3) Rasulullah sebagai representasi sikap empati dalam membantu sesama. Penelitian ini dapat menjadi rujukan dalam pengaplikasian nilai empati dalam kinerja profesional untuk dapat memberikan pelayanan yang maksimal dan tepat rasa kepada subjek pelayanan atau masyarakat.

Penelitian ini bertujuan untuk mengoptimalkan kolaborasi siswa dalam pembelajaran Pendidikan Agama Islam (PAI) dikelas XI SMA Negeri 4 Lubuklinggau melalui pendekatan kognitif sosial. Latar belakang penelitian ini mencakup tantangan dalam pembelajaran PAI yang kurang interaktif, yang berdampak pada minat dan kemampuan kerja sama siswa. Dengan menerapkan metode diskusi kelompok dan pembelajaran berbasis proyek, siswa didorong untuk berinteraksi dan saling belajar dari pengalaman satu sama lain. Hasil Penelitian menunjukkan bahwa penerapan pendekatan kognitif sosial dapat meningkatkan interaksi, kerja sama dan sikap positif siswa terhadap pembelajaran PAI. Siswa menjadi lebih aktif, bertanggung jawab, dan merasa lebih termotivasi dalam proses belajar. Penelitian ini diharapkan memberikan kontribusi dan pengembangan model pembelajaran yang lebih interaktif dan kolaboratif.

Budaya siri’ merupakan konsep fundamental dalam kehidupan masyarakat Bugis Makassar yang mencerminkan nilai-nilai menjaga harga diri, kehormatan, dan martabat. Penelitian ini bertujuan untuk menganalisis relevansi budaya siri’ dalam perspektif ajaran Al-Qur’an, khususnya terkait nilai-nilai menjaga harga diri sebagai salah satu prinsip akhlak mulia. Kajian ini menggunakan pendekatan kualitatif dengan metode analisis teks terhadap ayat-ayat Al-Qur’an yang berhubungan dengan harga diri dan kehormatan, serta kajian budaya lokal siri’. Hasil penelitian menunjukkan bahwa nilai-nilai siri’ selaras dengan ajaran Al-Qur’an yang menekankan pentingnya menjaga kehormatan diri dan komunitas, menghindari perbuatan tercela, serta menegakkan keadilan dan kebenaran. Selain itu, integrasi budaya siri’ dengan nilai-nilai Islam berpotensi memperkuat identitas masyarakat Bugis Makassar dalam konteks modern, sekaligus melestarikan budaya lokal yang berbasis nilai-nilai agama. Penelitian ini diharapkan memberikan kontribusi pada pengembangan studi budaya dan agama, serta menjadi inspirasi bagi masyarakat dalam menjunjung tinggi nilai-nilai moral dan spiritual.            

This study discusses the urgency of green marketing strategies and practices due to changes in consumer behavior trends. Currently, environmental sustainability issues are a major concern for society, not interacting in their product and service consumption activities. This study was conducted using a qualitative method, namely a literature review. Of the 15 article titles described, most of them show that the implementation of environmentally friendly marketing strategies brings positive benefits to businesses. Specifically, what is studied in this study is its influence on environmentally friendly purchasing decisions, customer loyalty and brand image enhancement. These findings can be practical recommendations for business actors and marketing practitioners to develop various environmentally friendly product and service innovations and carry out innovative green marketing practices in the future. So that they are able to gain benefits in the form of increased sales, customer loyalty and positive brand image as well as contributions to environmental sustainability or desires.

The spice tea business, as part of the traditional beverage sector, has great potential to be developed as a pioneering entrepreneurship amidst increasing public awareness of a healthy lifestyle and consumption of natural-based products. Opportunities and challenges faced in developing this spice tea business as a form of entrepreneurial innovation based on local traditions. The main opportunities for developing the spice tea business lie in the diversity of spices in Indonesia, market trends that support organic and herbal products, and the potential for export to the global market. In addition, the sustainability of this business can also be improved through flavor innovation, modern packaging, and digital marketing strategies. However, the main challenges faced include limited capital, fluctuations in raw material prices, competition with modern beverage products, and low digital literacy among business actors.
 

The theme of God's provision in limitations is highly relevant to theology students, who often face various challenges in their academic and spiritual journeys. The story in 2 Kings 4:42-44, where the prophet Elisha distributes twenty barley loaves to a hundred people, provides a powerful illustration of how God can turn limitations into blessings. Theology students often feel inexperienced and limited in resources to serve the community, but Elisha's example teaches that intention and trust in God are far more important than the amount of resources one has. Limitations can also trigger a crisis of faith, especially when the demands of academics and daily life increase. Therefore, it is important for students to realize that limitations are not obstacles to God, but opportunities to experience His love and power. This paper aims to explore how God's provision in limitations can be the basis for learning faith that shapes the character and ministry of theology students. By understanding this concept, it is hoped that students can serve sincerely and trust in God in every aspect of their lives.

The presence of the State Administrative Courts Judiciary as an administrative law enforcement institution for justice seekers, often encounter obstacles to the implementation/execution of judgments. The decision in question is in the context of the fictitious lawsuit is negative where the nature of the decision is already in Kracht. Against the verdict that already in kracht, State Administrative Courts officials as the losing party often do not want to comply with the content decision from the judges of the State Administrative Court. This can be caused by several factors such as The implementation of the execution arrangement is not clear, then the presence of administrative efforts that are felt is still not effective in creating a deterrent effect, as well as a lack of awareness from State Administrative Courts officials who losing and not wanting to comply with the order of the State Administrative Courts decision is the main obstacle. Problem is the lack of awareness of the obedient attitude can be due to the nature of the State Administrative Courts decision, which is basically upholding self-respect from the losing party. The act of not complying with the content State Administrative Courts decision can be included in the elements of the Contempt of Court act that is regulated in Law Number 14 of 1985 jo Law Number 5 of 2004 concerning Supreme Court. This can certainly have implications for the possibility of criminalization of officials State Administrative Courts for the consequences of the non-compliance.

With the advancement of technology and computing capabilities of computers, various applications and algorithms that were previously not applicable to portable devices such as laptops and smartphones can now be applied. Artificial intelligence (AI) is one of the increasingly popular techniques that are now a part of everyday life. AI is an umbrella term that refers to the simulation of human intelligence by machines that use big data to perform various tasks. AI has benefited many aspects of human life, including education. However, AI also has significant negative effects. This study aims to study the influence of artificial intelligence on students' critical thinking skills. This study uses qualitative research and literature analysis. However, the study also identified several negative impacts, including reliance on technology, unassured information quality, social isolation, and ethical and privacy concerns. Therefore, a balanced and strategic approach is needed in integrating AI in education to ensure that its benefits can be maximized, while its negative impact is minimized.

The rapid evolution of Industry 4.0 has positioned Internet of Things (IoT) technologies as key enablers for smarter industrial operations, particularly in predictive maintenance and machine monitoring. This research proposes an innovative IoT-driven vibration monitoring system that addresses limitations in traditional approaches such as high costs, limited scalability, and insufficient real-time capabilities. Employing low-cost sensors, edge computing, and LoRaWAN-based communication, the framework enables efficient fault detection and operational analysis. Data from industrial machinery was collected over two months and analyzed using advanced signal processing and machine learning techniques to extract meaningful insights. The system demonstrated an accuracy rate of 92%, a detection latency of 150 milliseconds, and extended sensor life to 12 months, marking significant improvements over conventional methods. Furthermore, scalability tests showed stable performance across setups involving up to 500 sensors, even in challenging industrial conditions. This study also highlights cost reductions of 30% and a 25% decline in machine downtime, reinforcing its practical value for industrial applications. By delivering an adaptable, energy-efficient, and secure solution, this research advances the integration of IoT into industrial systems. It lays the groundwork for future enhancements, including real-world testing and multimodal data integration

Scam threats on digital platforms continue to rise alongside the rapid adoption of technology in Indonesia. The unique characteristics of Indonesian digital users, such as low digital literacy and high social media usage, make them particularly vulnerable to various forms of scams, including phishing, impersonation, and emotional manipulation. This study aims to develop a machine learning-based model for predicting and detecting scams by identifying threat patterns within a local context. The methodology involves collecting a survey-based dataset from Indonesian digital users, capturing language patterns and user interaction behaviors. The dataset was processed through text-cleaning techniques, tokenization, normalization, and representation using TF-IDF and Word Embeddings. The machine learning models employed in this study are Random Forest and Support Vector Machine (SVM), evaluated using accuracy, precision, recall, and F1-score metrics. Hyperparameter tuning was conducted to optimize model performance, while k-fold cross-validation was utilized to minimize the risk of overfitting. The results indicate that the Random Forest model achieved the best performance, with an accuracy of 92.5%, precision of 90.7%, recall of 94.1%, and F1-score of 92.4%. The use of local datasets improved detection accuracy by 7.8% compared to global datasets, highlighting the critical importance of contextual representation in identifying scam patterns specific to Indonesia. The model was also effective in recognizing unique threat patterns, such as the use of informal language and manipulative phrases in scam messages. This study makes a significant contribution to the field of digital security by providing an effective machine learning-based approach to detecting scam threats in Indonesia. Moreover, the findings underscore the importance of developing local datasets and educating users as part of a holistic solution to enhance digital security. These insights emphasize the necessity of incorporating cultural and contextual factors into technology-driven approaches for combating scams in developing countries like Indonesia