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The rapid digital transformation occurring in the field of education, particularly through the integration of artificial intelligence (AI), has created new opportunities for improving learning efficiency, personalizing instruction, and supporting educators’ workloads. However, these advancements also bring forth significant philosophical challenges, especially the potential for dehumanization within the educational process. This article examines how technology influences the fundamental human dimensions of learning and how the concept of humanization can serve as an ethical framework for designing and implementing educational technologies. AI-based digital learning environments often position learners as data objects, reducing the dialogical, empathetic, and relational aspects that are fundamental to humanistic education. Drawing on philosophical perspectives from existentialism and humanism, this study evaluates the potential threats to student autonomy, critical thinking, and character formation. Furthermore, it explores how the human–technology relationship can be ethically framed through the theory of technological mediation and Paulo Freire’s notion of liberatory education. The analysis indicates that technology can be humanized by emphasizing meaningful interaction, ensuring algorithmic transparency, and strengthening the role of teachers as mediators of values and empathy. Ultimately, the article argues that the benefits of AI in education can only be fully realized when technological development and implementation are guided by an ethical orientation that places human beings at the center. This study contributes to ongoing discussions on the role of technology in education and provides a critical perspective aimed at minimizing the risk of dehumanization in an era increasingly shaped by AI-driven digital learning.

The livestock sector in Gowa Regency, South Sulawesi, has great potential but is often threatened by outbreaks of Foot and Mouth Disease (FMD), which cause significant economic losses. This study aims to evaluate the FMD control policies implemented by the Gowa Regency Government based on William Dunn's six policy evaluation criteria: effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The study used a qualitative approach with primary data collected through in-depth interviews with key informants from the Livestock and Animal Health Division of the Gowa Regency Livestock and Plantation Service and supporting data from various literature. The findings show that the FMD control policy is effective in achieving zero cases, but efficiency is hampered by limited medical personnel (only two veterinarians) and operational budget dependence entirely on the Central Government. Vaccine adequacy is a pull sistem (demand-driven) and compensation distribution is carried out fairly. Community responsiveness increased after severe losses, and policy accuracy was considered most optimal in the implementation of biosecurity and sanitation while promoting vaccination. As a recommendation, the Gowa Government needs to recruit contract workers in the field of animal health, allocate funds for the procurement of operational vehicles and equipment to support laboratory facilities, and issue a Regent Regulation that strictly regulates the implementation of biosecurity and livestock housing patterns in high-risk areas.

Wanita memiliki banyak masalah  pada  area  vagina.  Kebanyakan  kasus  yang  terjadi  adalah  keputihan.  Keputihan  atau  dalam bahasa  medis  disebut  dengan  flour  albus  merupakan  keluarnya  cairan  yang  berlebihan  dari vagina  yang  bukan  darah  haid. Pengobatan  keputihan  non  farmakologis  dapat  dilakukan  dengan  perubahan  tingkah  laku  personal  hygiene,  psikologis,  serta menggunakan daun sirih. Daun sirih telah terbukti secara ilmiah dapat menghambat pertumbuhan Candida albicans pada berbagai konsentrasi (20-100%).  Berdasarkan  data  yang  didapat  di  Desa Majungan Kecamatan Pademawu kabupaten Pamekasan  pada  tanggal  18  Juli  2025  terdapat remaja usia reproduktif yang mengalami keputihan sejumlah 8 orang, rata –rata usia 18-22 tahun. Berdasarkan data yang didapat di Desa Majungan Kecamatan Pademawu Kabupaten Pamekasan pada tanggal 18 Juli 2025 terdapat remaja usia reproduktif yang mengalami keputihan sejumlah 8 orang dari 35 remaja lainnya,  rata –rata  usia  18-22  tahun  wanita  usia  reproduktif  di  Desa Majungan Kecamatan Pademawu Kabupaten Pamekasan ini belum pernah mengetahui banyak manfaat pada daun sirih hijau, sehingga tim  pengabdian  kepada  Masyarakat  tertarik  untuk  melakukan  Pendidikan  Kesehatan dalam  bentuk  penyuluhan  terkait  manfaat  air  rebusan  daun  sirih  terhadap  fluor  albus pada wanita usia reproduktif di Desa Majungan Kecamatan Pademawu.

The rapid advancement of generative artificial intelligence, particularly ChatGPT, has significantly influenced educational practices, including the teaching and learning of Islamic education. ChatGPT offers considerable opportunities by providing diverse instructional materials, expediting the preparation of teaching documents, and supporting personalized learning based on students’ abilities and learning preferences. Additionally, it functions as a supplementary learning resource capable of facilitating religious discussions, explaining abstract concepts, and fostering critical thinking skills through fast and adaptive feedback. Nevertheless, the use of ChatGPT in Islamic education also presents noteworthy challenges. The risks of misinformation and hallucination may affect students’ understanding, especially in religious matters that require high accuracy and reliable references. Other challenges include academic integrity concerns, excessive reliance on technology, content bias, and the model’s limited ability to interpret Islamic socio-religious contexts in Indonesia. Furthermore, disparities in digital literacy among teachers and students hinder optimal implementation. This article aims to provide a comprehensive analysis of these impacts and challenges by examining recent literature and empirical studies. The findings indicate that ChatGPT can offer substantial benefits for Islamic education learning when integrated critically and responsibly, supported by enhanced teacher competencies, clear institutional AI policies, and strong emphasis on ethics and source verification. Thus, ChatGPT holds the potential to serve as a strategic innovation for improving the quality of Islamic Religious Education in the digital era.

The rapid development of technology in the digital era has brought significant changes in various aspects of life, including in the world of education. Islamic Religious Education (PAI) is no exception, facing the challenge of remaining relevant and effective in shaping students' personality characters. The current PAI curriculum is considered not fully able to accommodate the needs of the times that demand the integration of Islamic values ​​with digital competencies. The urgency of reformulating the PAI curriculum is very important in order to create an adaptive, innovative, and future-oriented learning model. This study aims to express constructive ideas in reformulating the PAI curriculum by referring to Paulo Freire's thoughts, while the method used is qualitative based on literature studies. In the end, this study concluded that the reformulation of the PAI curriculum can be realized by adopting the theory of integrity-reality initiated by Paulo Freire, the integrity-reality in question is integrating Islamic values ​​and the sophistication of digital technology. Reformulation of the PAI curriculum can be done by continuing to place the source of Islamic teachings as a fundamental rule, and placing humans as the main center in science. In other words, digital technology is only used as a limited tool in learning and teaching methods.

Industri portal lowongan kerja daring mengalami persaingan ketat, menuntut platform seperti Toploker.com untuk membangun brand awareness yang kuat, di mana iklan video menjadi strategi promosi yang sangat efektif. Namun, produksi video konvensional menghadapi kendala biaya tinggi dan waktu pengerjaan yang lama. Kecerdasan Buatan (AI) menawarkan solusi dengan mengotomasi produksi konten, mulai dari penyusunan naskah hingga personalisasi audio-visual. Penelitian empiris menunjukkan bahwa iklan video berbasis AI dapat meningkatkan tingkat engagement hingga 6–9 persen poin lebih tinggi dibandingkan iklan baseline dan meningkatkan efektivitas persuasi hingga 12,5% lebih tinggi dalam hal ekspektasi pendapatan. Untuk memastikan proses pengembangan konten video promosi yang menarik, efisien, dan relevan bagi audiens digital Generasi Z, penelitian ini mengadopsi kerangka kerja Multimedia Development Life Cycle (MDLC), yang mencakup tahap Konsep, Perancangan, Pengumpulan Bahan, Produksi, Pengujian, dan Distribusi. Tujuannya adalah merancang panduan teknis yang terstruktur untuk mengintegrasikan alat AI modern (seperti CapCut, Suno AI, dan Freepik AI) demi mengoptimalkan kualitas dan efisiensi produksi konten.

This research examines the importance of work ethic and ethics in the professional world, as a strong work ethic and high ethical standards serve as a foundational guarantee for individual success in today's competitive job market. The study aims to determine how integrity, responsibility, diligence, and professionalism not only shape a person's reputation but also directly influence the quality of work and overall productivity. In the dynamic modern professional world, integrity, responsibility, and diligence are not merely theoretical knowledge; rather, sound judgment is also essential for maintaining personal reputation and credibility. Furthermore, a positive work ethos and ethics are proven to be key factors for professional advancement and long-term career development. This case study utilizes a qualitative method, where information is derived from observations and verbal descriptions. By analyzing the relationship between ethos and ethics, the study concludes that strategic investment in these areas can yield greater opportunities, job stability, and enhanced professional satisfaction, establishing them as invaluable assets in the global labor market.

The development of digital technology has changed the paradigm of MSME businesses, including in building brand image. This study analyzes strategies for enhancing brand image through digital business at Ayam Celup Juaro’s MSMEs in Medan City. The research method uses a qualitative approach with a case study design. Data were collected through in-depth interviews, participatory observation, and documentation studies. The results show that multi-platform digital integration (Instagram, TikTok, WhatsApp) is effective in building brand image. Instagram serves as a medium for visual representation of the brand, TikTok as a driver for acquiring new customers through viral content, and WhatsApp as a means of personal communication to maintain customer loyalty. The key factors for success are content consistency and timely service. The main obstacles faced are budget constraints and challenges in maintaining content consistency. This research provides practical contributions for SMEs in developing integrated digital strategies to enhance brand image in the era of the 4th Industrial Revolution.

This community service activity aims to strengthen teachers' capacity to manage deep learning through the utilization of artificial intelligence (AI) in elementary school classrooms. The rapid development of AI technology provides opportunities for teachers to design more personalized learning, conduct assessments efficiently, and make data-driven learning decisions. The program is implemented in three stages: preparation, execution, and evaluation. The preparation stage includes the development of training modules and mapping relevant AI applications to support deep learning. The execution stage consists of workshops, hands-on practice using AI applications, and collaborative development of teaching materials by teachers. Evaluation is conducted through reflective assessments, task performance evaluations, and follow-up interviews. The results of the activity show significant improvements in teachers' understanding of AI-based deep learning management, including the ability to use AI for lesson planning, formative assessment, and analyzing students' learning progress. Teachers also reported increased confidence in integrating AI into teaching activities and recognized the benefits of AI in promoting students' higher-order thinking skills. This program demonstrates that strengthening teachers' competencies in utilizing AI can enhance the quality of deep learning management in elementary schools.

This study analyzes the burden on health services and the level of regional preparedness during the 2025 flood disaster in North Sumatra Province. Using a descriptive-analytic design with secondary data obtained from official disaster reports, this research examines the number of affected households, displaced populations, mortality, and emergency response status across 18 districts and cities. Findings show significant variations in the magnitude of impacts, with regions experiencing higher numbers of affected populations demonstrating greater pressure on health services, particularly in emergency care, communicable disease prevention, and shelter-based health management. Furthermore, regions that activated emergency response status earlier and demonstrated stronger preparedness were found to experience lower health burdens. These results highlight the importance of integrating disaster preparedness into local health system planning to strengthen resilience against hydrometeorological disasters. The study emphasizes the need for improved intersectoral coordination, enhanced health logistics capacity, and readiness of health personnel to respond effectively to large-scale emergencies.

This article explores the application of the Deep Learning approach in inclusive Islamic Religious Education (PAI) for children with special needs (ABK), with a focus on improving the understanding of abstract concepts such as monotheism and morals. The main problems faced by ABK in PAI learning include difficulties in understanding religious concepts due to cognitive, emotional, and sensory challenges. The purpose of this study is to analyze the urgency of Deep Learning in improving the spiritual understanding, motivation, and well-being of ABK through more personalized and reflective learning. The methods used include reflective strategies such as journals and discussions, adaptive media in the form of animation and audio, and collaborative learning with peers. The findings show that the application of Deep Learning improves ABK's in-depth understanding of religious values, as well as spiritual motivation and the ability to apply ethics in everyday life. The conclusion of this study is that Deep Learning can be an effective solution in inclusive PAI learning, supporting teachers in developing more humanistic learning designs and focusing on the character building of ABK.

This study aims to analyze the legal consequences arising from changes to personal data made by data subjects on the validity of collateral that has been used as security for credit, as well as to examine the forms of legal protection that may be granted to creditors. Changes to personal data such as identity, address, and the debtor’s legal status may lead to legal uncertainty regarding the validity of credit security agreements, particularly those involving Hak Tanggungan (mortgage rights). In this research, the author employs a normative juridical method using statutory and conceptual approaches. The findings of this study show that changes to personal data without notification or updates to the security documents have the potential to create administrative discrepancies and legal risks for creditors during the execution of the collateral. Legal protection for creditors needs to be strengthened through the regulation of the debtor’s obligation to report any changes in personal data, updates to the security certificates, and clear provisions outlined in the credit agreement. Accordingly, legal certainty between the creditor and the debtor can be maintained in line with the implementation of Law Number 27 of 2022 on Personal Data Protection.

This community service activity was carried out at SDN 003 Tarakan with the aim of instilling character values in grade 5 students, especially the values of caring for others, living frugally, and preserving local traditions. This program is designed as an effort to strengthen character education through an interactive, fun, and relevant approach to students' daily lives. The implementation method includes delivering material through interactive presentations, group discussions, and educational games designed to encourage active participation and contextual understanding. The results of the activity showed the high enthusiasm of the students, as seen from their involvement in the question and answer session, the activeness of participating in mini games, and the ability to connect the material with personal experiences. In addition, students show increased awareness of the importance of caring, frugal behavior, and love for local traditions. This activity not only provides conceptual understanding, but also encourages students to apply character values in real actions in the school and home environment. Overall, this service program contributes to the formation of a young generation that cares, is independent, and has a commitment to the preservation of local culture.

This study aims to design and analyze a more effective Islamic Religious Education (IRE) learning model by integrating humanistic principles with Islamic spirituality. This integration is important because traditional IRE learning has largely focused on cognitive mastery, while affective and spiritual dimensions have not been developed optimally. Using a descriptive qualitative method with a literature study approach, this research reviews books, academic journals, and previous studies relevant to humanistic and spiritual-based learning. Content analysis is then employed to identify thematic patterns that explain how both approaches can strengthen one another within the IRE learning process. The findings reveal that integrating humanistic and spiritual elements results in deeper, more reflective, and transformative learning experiences. The humanistic approach allows students to develop self-awareness, value personal experiences, and fulfill emotional needs, whereas Islamic spirituality reinforces the values of tawhid, moral character, and divine consciousness. Teachers play a crucial role as facilitators who guide students through learning experiences that combine humanistic empathy and Islamic values. Authentic assessment methods such as reflection journals, moral portfolios, and behavioral observations are used to evaluate student development. Overall, this study concludes that an IRE learning design grounded in both humanistic and spiritual approaches can foster intellectually capable, emotionally mature, and spiritually grounded learners who are well-prepared to face the challenges of the digital era.

This study aims to analyze the educational service marketing strategies implemented by Pesantren Islam Internasional Al Andalus, Bogor, within the framework of Marketing 6.0. A qualitative approach with a case study design was employed to explore the institution’s marketing practices. Data were collected through in depth interviews, observations, and document reviews, and analyzed using thematic analysis to identify emerging strategic patterns. The findings reveal five key themes: strengthening value based Islamic and international branding, utilizing digital marketing strategies to expand promotional reach, applying personalized approaches in interactions with prospective students and parents, the critical role of human resources and alumni in shaping institutional reputation, and internal, external challenges affecting marketing effectiveness. These findings highlight that adopting Marketing 6.0 in Islamic boarding schools requires not only the use of digital tools but also the integration of spiritual values, humanized service, and consistent narrative communication. The study contributes to the literature on Islamic education marketing by offering new insights into a marketing model that aligns with value driven educational institutions in the digital era.

This community service program aims to describe the implementation and impact of “Persekutuan Hamba Tuhan,” a diaconal initiative conducted by GBI Jemaat Kasih Surabaya to support 80 pastors serving in small congregations around the M3 area of Surabaya. The background of the program stems from ongoing socioeconomic challenges affecting church ministers in the post-pandemic period, particularly those serving in churches with limited resources and unstable financial support. Using a descriptive qualitative approach, data were collected through observation of the program activities, documentation of the distribution process, and testimonies from both recipients and church members. The results show three major outcomes. First, the distribution of food packages and basic daily necessities significantly reduced the economic burden of the participating pastors, providing a sense of relief and stability for their households. Second, the program strengthened congregational solidarity, as more than fifty church members actively engaged in fundraising, packaging, and direct service, building a stronger culture of compassion and shared responsibility. Third, the fellowship activities—consisting of worship, preaching, prayer, and personal encouragement—provided emotional and spiritual strengthening that renewed the pastors’ motivation and confidence in their ministry. Overall, this program demonstrates that integrated diaconal service combining material aid, spiritual encouragement, and relational support can offer meaningful impact for vulnerable church ministers. The findings also highlight the potential of this model to be replicated in other church settings as a holistic, community-based ministry approach. It is recommended that future programs expand coverage, incorporate long-term follow-up, and explore empowerment components to enhance sustainable impact.

Gender inequality remains a pressing global issue. Amid the rise of social media, microfeminism emerges as a form of digital activism rooted in personal narratives and everyday resistance. This study aims to examine the impact of microfeminist content on gender awareness among Generation Z in Indonesia, with online social engagement and digital social norms as mediation variables. A quantitative explanatory approach was used, involving 384 respondents recruited through purposive sampling. Data were collected via online questionnaires and analyzed using Generalized Structured Component Analysis (GSCA). The findings indicate that microfeminist content influences gender awareness both directly and indirectly. Online social engagement proved to have the strongest mediating effect, while digital social norms also contributed significantly. These results underscore the importance of participatory interaction and collective norms in shaping gender equality values in digital spaces. 

Public speaking skills are an essential competency that plays an important role in students’ personal development. However, many junior high school students still experience challenges such as low self-confidence when speaking in public. This community service activity aims to improve students’ self-confidence and verbal communication skills through structured public speaking training at SMPN 15 Banjarmasin. The method applied was Participatory Action Research (PAR) with a quantitative approach involving 27 students as participants. The training program included interactive material on the fundamentals of public speaking, anxiety management techniques, non-verbal communication, and hands-on practice sessions. Evaluation was conducted using pre-test and post-test instruments to measure improvement in students’ knowledge and skills. The results showed a significant increase in the students’ average scores, from 85.37 before the training to 95.15 after the training. These findings indicate that the public speaking training program effectively builds self-confidence and enhances students’ communication skills during adolescence.

This study aims to analyze user sentiment toward the integration of Artificial Intelligence (AI) in online learning platforms, which are increasingly expanding in the digital era. With the growing use of AI technologies in education—such as learning chatbots, material recommendation systems, and automated assessments—it is essential to understand users’ perceptions and reactions to these implementations. The research employs sentiment analysis based on text mining using user review data collected from various online learning platforms. The analysis process includes data preprocessing, sentiment classification using machine learning algorithms, and interpretation of results based on the proportion of positive, negative, and neutral sentiments. The findings indicate that most users express positive sentiments toward AI integration, as it enhances learning efficiency and personalization. However, some users raise concerns regarding data privacy and the lack of human interaction. This study is expected to serve as a reference for educational platform developers to design AI systems that are more adaptive, transparent, and user-centered

This study analyzes the maintenance process of the Roll Bending machine used in the wind tower production line at PT Kenertec Power System, Cilegon, Indonesia. The Roll Bending machine plays a crucial role in shaping steel plates into cylindrical shell components, which are later assembled into wind tower sections. The objective of this research is to identify maintenance patterns, types of failures, and improvement strategies to ensure machine reliability and operational efficiency. The research employed observation, interviews with maintenance personnel, and documentation review to collect relevant data. The findings show that the machine experienced multiple failures, mostly related to hydraulic system leaks, PLC programming errors, and component wear such as cylinders, seals, and gear pumps. A significant increase in corrective maintenance activities occurred between August 2023 and April 2024, particularly in February 2024, indicating the need for a more consistent predictive maintenance strategy. The implications of this study highlight that optimized maintenance scheduling and monitoring are essential to reduce downtime, avoid production delays, and maintain product quality. This research is expected to support maintenance decision-making and contribute to the improvement of industrial machine reliability in wind tower manufacturing operations.