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Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

The development of artificial intelligence (AI) has fundamentally transformed digital marketing communication, while emerging as a strategic instrument in public relations practices of global corporations. This study aims to examine the construction of meaning around artificial intelligence as a financial solution within the cultural context of Lebaran, while analyzing the PR communication strategy employed by Google Indonesia in building persuasive messages for its public on digital platforms. The research object is a video advertisement posted on the official Instagram account @googleindonesia on March 7, 2025, promoting the Gemini Canvas feature for managing Tunjangan Hari Raya (THR) budgets. This study employs a descriptive qualitative approach with an interpretive paradigm, integrating two complementary analytical perspectives: first, Roland Barthes three-level semiotic analysis — denotation, connotation, and myth — to deconstruct meaning constructed through visual, verbal, and auditory signs in the advertisement; second, the PR communication strategy framework from Smith (2021) to identify how the choices of mascot, emotional message, and cultural appeal represent strategically planned communication decisions by Google Indonesia. The findings reveal that Google Indonesia constructs Gemini Canvas as an empathetic and culturally aware entity through three key elements: anthropomorphic symbolism in the form of a bespectacled cat functioning as brand mascot, local cultural markers of ketupat and THR, and Arabic-nuanced music that aurally reinforces the Lebaran atmosphere — all representing deliberate strategic PR decisions. From Smith’s (2021) perspective, the advertisement applies a proactive communication strategy combining negative emotional appeal — financial anxiety ahead of THR — immediately followed by positive emotional appeal as a concrete solution through Gemini Canvas, representing a structured form of public perception shaping. At the myth level, the advertisement normalizes reliance on digital platforms through systematic cultural localization. This study contributes to understanding AI-based digital marketing communication strategies and the shaping of public perception on AI technology by global corporations in the Indonesian market.  

The rapid development of Artificial Intelligence (AI) has transformed various sectors of human life, including church ministry and religious organizational management. This study aims to analyze Christian leadership ethics in the use of AI within modern church ministry. The research employs a qualitative descriptive method through theological literature review and analysis of recent studies concerning digital technology and pastoral ministry. The findings indicate that AI provides significant benefits for church administration, digital communication, congregational data management, and online evangelism. Nevertheless, ethical challenges also emerge, such as the weakening of pastoral relationships, data privacy concerns, algorithmic bias, and the risk of dehumanization in ministry practices. From a Christian theological perspective, ministry is fundamentally relational and incarnational, reflecting the example of Jesus Christ who ministered through personal presence, compassion, and direct interaction with people. Therefore, AI should be understood as a supportive instrument rather than a substitute for spiritual authority and pastoral presence. Christian leadership in the digital age must be grounded in integrity, transparency, spiritual discernment, and respect for human dignity as the image of God (imago Dei). This study contributes to the development of ethical guidelines for churches in utilizing AI responsibly while maintaining theological integrity and Christian spiritual values.

The rapid advancement of artificial intelligence (AI) has significantly altered the landscape of business decision-making, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Despite their critical role in economic growth and employment generation, MSMEs frequently encounter substantial barriers related to technological adoption, digital literacy, and resource allocation. This research systematically investigates the utilization of artificial intelligence as a responsive innovation mechanism designed to optimize decision-making processes within the MSME sector. By employing a comprehensive systematic literature review methodology, analyzing peer-reviewed publications from globally recognized academic databases between 2018 and 2024, this study delineates the multifaceted benefits, complex challenges, and contextualized adoption strategies associated with AI integration. The findings reveal that artificial intelligence holds transformative potential for enhancing operational efficiency, refining predictive analytics, and sustaining long-term competitiveness. Conversely, critical challenges, including inadequate digital infrastructure, financial constraints, and organizational resistance, remain pervasive obstacles. Consequently, the study advocates for a gradual, responsive innovation approach that aligns technological adoption with specific business needs and environmental pressures. The insights derived from this research offer substantial theoretical and practical implications, providing a strategic framework for policymakers and MSME owners to accelerate digital transformation inclusively.

Penelitian ini berfokus pada kajian penggunaan teknologi artificial intelligence (AI) dalam kalangan akademik yang memiliki potensi untuk meningkatkan efesiensi proses pendidikan dan transformatif. Meskipun teknologi AI menawarkan berbagai peluang, pengintegrasian  teknologi ini dalam konteks pendidikan khususnya dalam kalangan akademik menimbulkan berbagai tantangan yang perlu diatasi  seperti ketergantungan pada AI, plagiasi, kecurangan, merosotnya cara berpikir kritis, kreativitas yang tidak berkembang, ketidakmampuan dalam mengatasi masalah dan krisis integritas. Dalam mengeksplorasi integrasi kecerdasan buatan (AI) dalam kalangan akademik, penelitian ini menggunakan metode library research. Metode ini memberikan landasan yang kuat bagi penulis untuk mendalami pemahaman tentang tantangan dari penggunaan AI dalam kalangan akademik dan penerapan reflektif sikap etis teologis terhadap penggunaan AI. Dari penelitian ini ditemukan bahwa penggunaan teknologi kecerdasan buatan (AI) dalam kalangan akademik sangat berpotensi untuk mengembangkan pengetahuan dan ilmu manusia untuk mendatangkan kemulian-Nya, jika disertai dengan sikap etis teologis yang selaras dengan mandat budaya Allah seperti bertanggungjawab, jujur, transparansi, dan AI sebagai alat. Implementasi sikap etis teologis dalam kalangan akademik dimulai dari sekolah Kristen, pendidikan tinggi Kristen, pengajar Kristen, pelajar Kristen dan orang percaya pada umumnya adalah cara mempermuliakan Allah dengan teknologi yang disertai dengan hikmat.

This study examines the use of generative artificial intelligence (GenAI) among theology students and its ethical and theological implications for theological education in the Society 5.0 era. Employing a light mixed-methods sequential explanatory design, the research involved theology students through surveys and semi-structured interviews. The findings indicate that GenAI is primarily utilized as a learning support tool for understanding course materials and developing academic assignments. While students demonstrate awareness of potential bias and ethical concerns, consistent transparency and critical reflection in AI usage remain limited. The theological concept of imago Dei emerges as a significant analytical lens, emphasizing human dignity and moral responsibility in academic practices. The study concludes that GenAI can constructively support theological education when integrated with faith-based ethical literacy and clear institutional guidelines.

The rapid development of Artificial Intelligence (AI) technology requires an improvement in digital literacy and skills among students, particularly at the vocational high school level. However, many students still lack sufficient understanding of the basic concepts and practical applications of generative AI in learning. This Community Service Program (Pengabdian kepada Masyarakat/PKM) aims to enhance students’ understanding of AI technology through generative AI training at SMK Al-Muhajirin Depok. The methods used in this program include interactive lectures, demonstrations of generative AI applications, and hands-on practice sessions. The activity was attended by 30 students and supported by the school management. The results indicate a significant improvement in students’ understanding of generative AI concepts and their ability to apply the technology in a simple learning context. In addition, students gained awareness of the ethical use of AI in an appropriate and responsible manner. Therefore, this PKM activity contributes positively to improving students’ digital literacy and readiness to face technological advancements in the modern era.

. The rapid development of artificial intelligence (AI) has brought significant changes in various fields, including education and church life. This study aims to examine the dynamics of the formation of prospective catechists in facing the challenges of AI use at the IPI Malang Pastoral College. This study used a qualitative, descriptive approach, through observation and interviews with students as research subjects. The results show that the use of AI has become an integral part of the learning process, helping students understand material, develop academic skills, and enhance creativity in the pastoral field. However, the use of AI also poses challenges in the form of a tendency towards instantaneous attitudes and potential dependency that can hinder critical thinking skills and deep reflection on faith. In the context of pastoral education, the formation of prospective catechists emphasizes not only intellectual aspects but also spirituality, personality, and pastoral sensitivity. Therefore, the wise and proportional use of AI is necessary, while still positioning it as a supporting tool, not a substitute for human roles. The role of lecturers and educational institutions is crucial in guiding students to be able to use technology critically, reflectively, and responsibly. Thus, the integration of technology and faith values ​​is expected to produce prospective catechists who are able to respond to the challenges of the times in a relevant and meaningful manner.

Penulisan ini bertujuan guna untuk mengkaji peran teknologi dalam penyusunan desain pembelajaran di kelas pada era digital. Menggunakan pendekatan kualitatif dengan metode studi pustaka. Hasil kajian menunjukkan bahwa teknologi pembelajaran telah berkembang menjadi sistem yang terintegrasi, mencakup perencanaan, pengembangan, implementasi, dan evaluasi pembelajaran secara sistematis. Pemanfaatan teknologi digital seperti Learning Management System, aplikasi desain kreatif, kecerdasan buatan, serta pula augmented reality terbukti mampu meningkatkan interaktivitas, fleksibilitas, dan keterlibatan peserta didik dalam proses belajar. Selain memberikan kemudahan akses dan efisiensi, teknologi juga mendukung pembelajaran berbasis kompetensi melalui pemantauan dan evaluasi yang lebih akurat. Kendati, integrasi teknologi dalam desain pembelajaran memerlukan kesiapan guru, dukungan institusi, serta infrastruktur yang memadai agar pelaksanaannya berjalan optimal. Maka demikian dengan perencanaan yang tepat dan pendekatan yang adaptif, teknologi dapat menjadi instrumen strategis dalam meningkatkan mutu dan efektivitas pembelajaran di kelas.  

The rapid growth of short-form social media platforms has increased the complexity of decision-making during the digital content planning stage. Content creators are required to evaluate the feasibility of content ideas and determine platform suitability prior to production, while most existing tools primarily focus on post-publication analytics. This study aims to design an Artificial Intelligence (AI)-enabled Decision Support System (DSS) to evaluate digital content ideas in the pre-production stage. Adopting a Design Science Research approach, the study develops a conceptual design artifact that integrates intrinsic content idea characteristics with cognitive and affective response modeling grounded in the Stimulus–Organism–Response (S-O-R) framework, alongside platform affordance mapping. The proposed artifact operationalizes a reflective evaluation mechanism that generates platform recommendation scores and idea enhancement suggestions without claiming deterministic or predictive performance modeling. Evaluation was conducted qualitatively through practitioner assessment to examine perceived usefulness, clarity of recommendations, and decision support contribution. The findings indicate that the developed artifact provides a structured reflective framework for early-stage content evaluation. Theoretically, this study extends the application of the S-O-R framework by operationalizing it as a design logic for a pre-production DSS artifact. Practically, the proposed system has the potential to support more systematic decision-making prior to content production.

The industrial revolution 4.0 has brought rapid advances in technology, one of which is artificial intelligence (AI). AI has the ability to imitate the human thought and action process in solving various problems. However, the implementation of AI raises legal problems related to responsibility for the negative impacts caused, such as cybercrime, information manipulation, privacy violations, and misuse of technology. Indonesia, as a country based on law, is faced with the challenge of regulating AI to be in line with technological developments. Currently, legal regulations in Indonesia do not specifically regulate the legal responsibility of AI. Positive laws, such as the Civil Code and the ITE Law, can be used interpretively, but are not enough to address the complexity of AI. Legal responsibility related to AI is debatable, whether it is imposed on the developer, owner, or user of AI. In addition, AI does not have a “mens rea” in criminal law, so that unlawful acts are more relevant to be imposed on the responsible human. To overcome this problem, legal reform or the creation of special regulations that comprehensively regulate AI are needed. These regulations must include privacy protection, data security, and criminal and civil liability due to the use of AI. With a clear legal framework, the risk of AI misuse can be minimized and its use can be optimized for the welfare of society.

The rapid development of Artificial Intelligence (AI) technology has opened significant opportunities to support maritime monitoring systems, particularly in detecting anomalies in ship movements that may indicate illegal or abnormal activities. However, the understanding and utilization of this technology among the general public and maritime stakeholders remain limited. This Community Service Program aims to conduct socialization and dissemination of knowledge on AI-based ship anomaly detection through the development and utilization of an interactive and informative web-based socialization platform. This activity is the result of collaboration between a team of lecturers from the Faculty of Communication and Informatics Technology (FTKI) and the National Research and Innovation Agency (BRIN). The implementation methods include the design of web-based educational content, presentation of fundamental AI concepts and ship anomaly detection, as well as visual simulations of ship movement data analysis results. The web-based socialization platform serves as an educational medium to enhance users’ understanding of the benefits, working mechanisms, and potential applications of AI technology in maritime surveillance. The results indicate an improvement in participants’ understanding of ship anomaly detection concepts and the role of artificial intelligence in supporting maritime security and safety. This PKM activity is expected to promote technological literacy, strengthen synergy between academia and research institutions, and serve as a model for practical and sustainable web-based technology socialization

The use of Artificial Intelligence (AI) in higher education learning has increased significantly, particularly among Informatics Engineering students. Although AI provides various benefits in supporting the learning process, its utilization also raises ethical concerns, especially related to algorithmic bias and responsible use of technology. This study aims to analyze the perceptions of Informatics Engineering students regarding bias and ethics in the use of artificial intelligence in learning. The research employed a quantitative descriptive approach. Data were collected through a Likert-scale questionnaire distributed to 80 Informatics Engineering students who had experience using AI in learning activities. Descriptive statistical analysis was conducted using mean scores and percentages. The results indicate that students demonstrate a high level of ethical awareness and responsibility in using AI; however, their perception of potential bias in AI systems remains at a moderate level. These findings reveal a gap between normative ethical awareness and critical understanding of algorithmic bias. This study recommends strengthening contextual and applied AI ethics literacy within the Informatics Engineering curriculum to promote responsible and ethical use and development of artificial intelligence technologies.

The rapid advancement of artificial intelligence (AI) in the digital age offers substantial benefits by enhancing efficiency and productivity. Nevertheless, these developments also pose significant challenges to the protection of human rights. Issues such as privacy violations, algorithmic bias, discrimination, and opaque automated decision-making highlight the need for a strong integration of ethical values and legal frameworks in the use of AI. This study applies a normative legal method supported by literature-based research to examine the existing regulatory frameworks and the ethical principles underpinning them. The findings indicate that ethical principles such as transparency, accountability, fairness, and human-centeredness serve as essential moral guidelines to prevent AI misuse. Meanwhile, legal rules ensure certainty, establish accountability mechanisms, and provide sanctions for violations. The synergy between ethics and law forms a crucial foundation to ensure that technological innovation aligns with the protection of human rights, upholds human dignity, and supports the creation of a safe and just digital environment

The rapid development of artificial intelligence (AI) in the medical field has become an important part of the learning process and health services. Preparing medical students as future healthcare professionals to understand, use, and implement AI responsibly is a crucial aspect. This level of readiness can vary depending on their knowledge, abilities, perceptions, and ethics in using AI. This study aims to determine the readiness of young medical students in the Surabaya area in using artificial intelligence based on these four domains, and to compare scores between first-year professional students and undergraduate students. This study used a quantitative descriptive design with a cross-sectional approach. The instrument used was the Medical Artificial Intelligence Scale for Medical Students questionnaire, which consists of four domains: knowledge, abilities, perceptions, and ethics. The study sample was first-year and second-year professional students of the Faculty of Medicine, Ciputra University. Data analysis was performed using descriptive statistics including mean values, standard deviations, and frequency distributions for each domain. The results showed that the total readiness scores for DM1 (89.95 ± 11.84) and DM2 (88.38 ± 8.85) showed a positive picture, with minimal mean differences. The knowledge and skills domain showed almost uniform values ​​between the two groups, while the ethics domain had the highest stability with a very small mean difference. These findings indicate that the readiness of professional students at the Faculty of Medicine, Ciputra University, towards the use of AI shows a positive and relatively even picture at all levels.  

Perkembangan kecerdasan buatan (AI) mendorong inovasi dalam analisis keuangan, termasuk prediksi harga saham yang fluktuatif. Penelitian ini bertujuan memprediksi harga saham PT Garudafood Putra Putri Jaya Tbk menggunakan model ARIMA dengan penanganan Outlier sebagai pendekatan awal menuju sistem prediksi yang lebih adaptif. Data harga penutupan harian dari Yahoo Finance dianalisis melalui uji stasioneritas, identifikasi model ARIMA, deteksi Outlier berbasis log-return, serta evaluasi performa menggunakan RMSE, MAE, dan MAPE. Hasil penelitian menunjukkan bahwa ARIMA Outlier memberikan performa lebih baik dibandingkan ARIMA dasar. ARIMA standar menghasilkan MAPE 1.32% dan AIC –899.46, sedangkan ARIMA dengan tiga dummy Outlier mencapai MAPE 1.16% dan AIC –900.37. Peramalan 14 hari ke depan menunjukkan pola yang stabil pada kisaran Rp 370–371. Pada data uji, ARIMA dasar memberikan akurasi terbaik pada pertengahan Agustus, sedangkan ARIMA Outlier mencapai akurasi tertinggi pada akhir Agustus dengan prediksi Rp 370.2 yang sangat dekat dengan harga aktual Rp 370.4. Hasil ini menunjukkan bahwa penanganan Outlier meningkatkan ketepatan model, sehingga ARIMA Outlier dapat digunakan sebagai fondasi awal menuju pengembangan sistem prediksi keuangan berbasis AI.

Perkembangan teknologi digital yang semakin pesat mendorong perubahan besar dalam dunia pendidikan, sehingga pembelajaran abad ke-21 tidak hanya menekankan pemahaman materi, tetapi juga menuntut penguatan empat kompetensi inti atau 4C, yaitu berpikir kritis, kreativitas, komunikasi, dan kolaborasi. Integrasi teknologi menjadi kebutuhan penting untuk menciptakan pengalaman belajar yang lebih interaktif, adaptif, dan berpusat pada peserta didik. Penelitian ini bertujuan mensintesis temuan dari sebelas artikel ilmiah yang membahas implementasi teknologi dalam mengembangkan keterampilan 4C pada pembelajaran modern. Metode yang digunakan adalah studi literatur dengan menelaah fokus, desain, serta hasil penelitian dari setiap artikel, kemudian mengintegrasikannya melalui analisis tematik untuk memperoleh gambaran yang lebih menyeluruh. Hasil kajian menunjukkan bahwa berbagai bentuk teknologi seperti platform pembelajaran digital, aplikasi mobile, media interaktif, kecerdasan buatan, serta perangkat kolaboratif mampu memberikan dampak signifikan terhadap peningkatan kemampuan peserta didik. Teknologi terbukti memperkuat kemampuan berpikir kritis melalui kegiatan analisis informasi dan pemecahan masalah berbasis digital; meningkatkan kreativitas melalui pembuatan konten multimedia dan eksplorasi ide; memperluas kemampuan komunikasi melalui diskusi virtual, presentasi digital, dan interaksi sinkron maupun asinkron; serta mendorong kolaborasi melalui proyek kelompok berbasis platform daring yang memudahkan koordinasi dan pembagian tugas. Secara keseluruhan, integrasi teknologi memberikan kontribusi besar terhadap pengembangan 4C, meskipun keberhasilannya tetap sangat dipengaruhi oleh kesiapan guru, dukungan sarana, serta desain pembelajaran yang tepat. Temuan ini menegaskan pentingnya peningkatan kompetensi digital pendidik dan penguatan lingkungan belajar berbasis teknologi agar keterampilan 4C dapat dioptimalkan dalam pembelajaran abad 21. Kata kunci: Pembelajaran Abad 21; Keterampilan 4C; Integrasi Teknologi; Pembelajaran Modern; Literasi Digital

This study aims to evaluate the effectiveness of the Artificial Intelligence-Based Learning Media Development Program (P3MP-AI) in enhancing teachers’ technological and pedagogical competencies at SMK Muhammadiyah 2 Malang. The program employed a descriptive approach using both quantitative and qualitative methods, including pre-test and post-test assessments, as well as direct observation of the training process. A total of 30 teachers from various disciplines actively participated in the program conducted on August 12, 2025. The evaluation results revealed an increase in the participants’ average scores from 100 to 130 out of a maximum of 150, indicating a significant improvement in their understanding of AI concepts and applications in education. Beyond competency enhancement, the training also fostered teachers’ confidence, creativity, and ability to integrate AI-based tools into interactive learning media. However, several challenges were identified, such as limited technological resources and time constraints in classroom implementation. Overall, this program has made a tangible contribution to strengthening teachers’ digital literacy and can serve as a replicable professional development model for other vocational schools seeking to advance AI-based educational transformation.

Deteksi nyeri secara objektif merupakan tantangan penting dalam dunia medis, terutama bagi pasien yang tidak mampu menyampaikan rasa sakitnya secara verbal, seperti bayi, lansia, atau penderita gangguan komunikasi. Teknologi non- invasif berbasis sensor menjadi solusi potensial untuk mengatasi keterbatasan metode subjektif. Penelitian ini bertujuan meninjau secara sistematis literatur terkini mengenai penerapan Radar MIMO dan algoritma kecerdasan buatan dalam deteksi nyeri non-invasif. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan pedoman PRISMA 2020, melalui penelusuran basis data IEEE Xplore, ScienceDirect, PubMed, Google Scholar, dan SpringerLink untuk periode 2021– 2025. Dari hasil seleksi diperoleh 17 artikel inklusi yang mencakup penggunaan Radar MIMO, UNBC-McMaster, BioVid, Medical Imaging (CT/MRI), Radar SISO, serta studi review, survey, bibliometrik, dan teoretis. Dari sisi algoritma, CNN dan SVM menjadi pendekatan paling dominan, diikuti Neural Network dan metode lain, dengan tren yang mengarah pada penggunaan multimodal untuk meningkatkan akurasi. Hasil penilaian kualitas dengan GRADE menunjukkan mayoritas studi berkualitas sedang, dengan keterbatasan utama pada ukuran sampel kecil, pelabelan nyeri yang belum konsisten, bias populasi, serta kurangnya validasi klinis nyata. Kesimpulannya, Radar MIMO dan algoritma deep learning memiliki potensi besar untuk deteksi nyeri non-invasif. Namun, penelitian lanjutan perlu difokuskan pada pembangunan dataset yang lebih inklusif, standarisasi pelabelan nyeri, serta pengujian dalam konteks klinis, dengan memperhatikan aspek etika dan privasi agar teknologi ini dapat diimplementasikan secara luas dalam layanan kesehatan.

This study aims to examine the use of artificial intelligence (AI) in transforming Buddhist Sunday School education at the Shimakalingga Temple in Jepara in the digital era. Using a qualitative descriptive approach, data were collected through observation, interviews, and documentation studies. The results show that AI technology is beginning to be utilized in the learning process, such as the use of interactive visual media, Dharma quiz applications, and digital platforms for distance learning. The use of AI has been proven to increase student interest and understanding of Buddhist teachings, as well as support more inclusive and adaptive learning. However, challenges remain, including limited resources, lack of teacher training, and the need for ethical guidelines for the use of AI in the context of religious education. This study concludes that AI plays a significant role in supporting the transformation of Buddhist education, but its use must remain balanced with spiritual values and the role of teachers as moral guides. Therefore, collaboration between the temple, educators, and technology is needed to create a sustainable learning system based on Dharma values.