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Penerapan Cloud AI dalam Penyusunan Assessment For Learning Listiyani, Listiyani; Cety Wahyu Muslimah; Asmah Kustati; Lilis Tri Fariyah; Agus Triwidodo; Purwono, Purwono
JURNAL MULTIDISIPLIN ILMU AKADEMIK Vol. 3 No. 2 (2026): JURNAL MULTIDISIPLIN ILMU AKADEMIK (JMIA)  April 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jmia.v3i2.9217

Abstract

This study describes the application of Cloud AI technology in the preparation of Assessment for Learning (AfL) in learning at State Islamic Senior High School (Madrasah Aliyah) in Magelang City, State Islamic Senior High School 3 in Sragen, State Islamic Senior High School 1 in Sragen, and State Islamic Senior High School in Sukoharjo, and identifies the challenges and efforts of teachers in its implementation. This research method uses a qualitative approach. The research subjects were teachers at State Islamic Senior High School (Madrasah Aliyah) in Magelang City, State Islamic Senior High School 3 in Sragen, State Islamic Senior High School 1 in Sragen, and State Islamic Senior High School in Sukoharjo. The informants of this study were teachers. Data collection techniques were interviews, observation, and documentation. The results showed that Cloud AI created a more systematic, fast, and data-driven formative assessment workflow. The process began with the analysis of learning objectives and competencies, followed by indicator mapping, and then the design of AfL instruments such as diagnostic quizzes, reflective questions, and formative assignments with the help of Cloud AI to be adaptive, varied, and support differentiated learning. Cloud AI also facilitates the real-time collection of AfL results through a cloud-based platform, including student answers, completion time, and error patterns, which are analyzed to identify misconceptions, gaps in understanding, and student learning progress. These findings enable teachers to provide rapid, meaningful, and personalized formative feedback, along with recommendations for remediation and enrichment. However, the implementation of Cloud AI still faces two main challenges: limited infrastructure and unequal digital access, and teachers' difficulty integrating AI analysis results into daily pedagogical practices in a contextual manner. Teachers' efforts to overcome these challenges include improving digital literacy and understanding of AI through ongoing training such as workshops, webinars, learning communities, and competency development programs. With the support of infrastructure and professional mentoring, Cloud AI has the potential to strengthen AfL's function in supporting student learning more effectively.
Environmental Impact of Energy Diversification Using Refuse-Derived Fuel in Cement Industry Firdausi, Eyda; Abdul Matin, Hashfi Hawali; Rachmawati, Siti; Wahyono, Yoyon; Purwono, Purwono; Budiyono, Budiyono; Kencanawardhani, Larasati Gumilang
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 23, No 1 (2026): March 2026
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v23i1.175-187

Abstract

Processing municipal solid waste into refuse-derived fuel (RDF) is an alternative solution to the waste problem. This study determined the potential environmental impact of Sleman RDF as an energy diversification agent in the cement industry using life cycle assessment (LCA). The boundary system of this study is gate-to-grave, with a functional unit of co-firing energy requirements for the production of 1 metric ton of clinker. Two clinker co-firing scenarios were developed, involving a combination of coal and alternative fuels. The results showed that the production of 1 metric ton of clinker requires a large amount of resources and contributes significantly to climate change, ecosystem toxicity, and human toxicity. Co-firing clinker in the alternative scenario successfully reduced the potential environmental impact by 14% with a thermal substitution rate of 20%. The findings of this study indicate that RDF is effective in reducing dependence on fossil fuels and lowering emissions and the potential environmental impact.
Co-Authors Abdul Matin, Hashfi Hawali Adhi Wibowo Adilla, Axl Adji, Diva Permata Adriani, Vita Afrilies, Marlia Hafny Agung Karuniawan Agus Triwidodo AHMAD JUNAEDI Ainurrofiq, Mohammad Naffah Alfian Ma’arif Anas Dinurrohman Susila Anik Sarminingsih, Anik Annastasya Nabila Elsa Wulandari Annida Unnatiq Ulya Ardhi Ristiawan Ardianto, Rian Aric Vranada Arif Setia Sandi A. Arya Rezagama Asmah Kustati Bala Putra Dewa Basil, Noorulden Budi Nugroho Budiyono Budiyono Cahyani, Gesa Nur Cety Wahyu Muslimah Deli, Syekh Zulfadli Arofah Dewa, Bala Putra Dharend Lingga Wibisana Dita Purwinda Anggrella Dyah, Dwi Tristining Eka Maulidiya, Sherly Eka Wardhani S., Eka Endang Setyawati Eso Solihin Fadillah, Arvin Muhammad Fakhri Zahi Mumtaza Fathurrahman, Haris Imam Karim Fathurrohman Husen Fatmawati, Puput Yosi Febria Cahya Indriani Firdausi, Eyda Fitriansyah, Muhammad Ramdhani Frisky, Aufaclav Zatu Kusuma Frutos, Roger Garunja, Evis Hadi Jayusman Hadiyanto Hadiyanto Hamdani, Kiki Kusyaeri Haq, Qazi Mazhar ul Hermanto Hermanto Hermawan Hermawan I Ketut Suada Imam Ahmad Ashari Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irdika Mansur Istiqomah, Hani Janu Saptari, Janu Jayusman, Hadi Josef, Hari Kusnanto Kencanawardhani, Larasati Gumilang Ketty Suketi Khairani Khairani KHOIRUN NISA Kurniawati, Ari Lilis Tri Fariyah Listiyani, Listiyani Lutviana Lutviana, Lutviana Mahfud Afandi, Mahfud Mangkunegara, Iis Setiawan Marhoon, Hamzah M. Marlin Sefrila Maulana, Haris Maya Melati Mei Ahyanti Meilani, Reina Mia Yustika, Mia Mochtar Hadiwidodo Mohamad Rahmad Suhartanto Mohammad Fatkhul Mubin, Mohammad Fatkhul Monica Puspa Dewi Muhammad Amin Bakri Munif Ghulamahdi murwanto, bambang Nadia Nuraniya Kamaluddin Nandang Hermanto Novieta Hardeani Sari Nurfaiz, Agus Nurhalizah, Ria Suci Nurwulan Purnasari Pangesti, Lintang Desy Pascawati, Nur Alvira Prabowo, Zuhda Nur Pramesti Dewi Purwaningsih, Wida Putra, Jessa Syah Putri, Korisa Putri, Lystiana Dewi Rachman Hidayat Rahmaniar, Wahyu Restuono, Joko Rija Sudirja Rumbiwati, Rumbiwati Safa Kiana Safar Dwi Kurniawan Sandra Arifin Aziz Santoso, Dwi Andreas Santoso, Muhammad Hery Saphira, Debby Bella Sarwono Sarwono Satriya Pranata Sefrila, Marlin Septin Puji Astuti Setiyaningrum, Ika Feni Setyo Supratno Sharkawy, Abdel-Nasser Silviani, Wahyu Dian Simanjuntak, Efendi Siti Aisah SITI RACHMAWATI Sudirman Yahya Suryo Wiyono Syaiful Anwar Titik Istirokhatun Tri Baskoro Satoto, Tri Baskoro Tri Yulianti Tri Yulianti, Tri Trigunarso, Sri Indra Tristiyaningrum, Diana Tuny, Nurfitriyana Wahyono, Yoyon Wiharyanto Oktiawan Wiwit Rahajeng Y.Paidjo Y.Paidjo, Y.Paidjo Yuris Tri Naili