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Pelatihan IoT Berbasis ESP32 bagi SMA Islam Sultan Agung 3 Semarang untuk Peningkatan Literasi dan Talenta Digital Mulyono, Sri; Badie'ah, Badie'ah; Haviana, Sam Farisa Chaerul; Sulaiman, Noor Suhana; Yacob, Azliza; Hermawan, Hildan Mulyo; Riziq, Alvin Yusuf
Indonesian Journal of Community Services Vol 6, No 2 (2024): November 2024
Publisher : LPPM Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/ijocs.6.2.175-183

Abstract

Pengetahuan tentang Internet of Things (IoT) menjadi semakin penting dalam era digital atau era revolusi Industri 4.0 saat ini. Upaya membekali siswa maupun guru Sekolah Menengah Atas (SMA/SMK) dapat dilakukan dengan melibatkan pihak perguruan tinggi. Universitas Islam Sultan Agung (UNISSULA) Semarang, Indonesia bekerjasama dengan University College TATI (UCTATI) Malaysia mempunyai tanggung jawab sosial untuk membekali siswa/ guru dalam mengembangkan literasi digital dan melahirkan talenta digital siswa SMA. Untuk mewujudkan hal tersebut UNISSULA dan UCTATI melaksanakan kegiatan bersama untuk mendesain dan melaksanakan pelatihan IoT berbasis ESP32 bagi siswa/ guru SMA Islam Sultan Agung 3 Semarang. SMA Islam Sultan Agung 3 dilengkapi dengan fasilitas yang mendukung proses pembelajaran dan pengembangan siswa. Fasilitas tersebut antara lain ruang kelas yang nyaman dan dilengkapi dengan peralatan belajar, laboratorium sains, perpustakaan, ruang komputer, ruang multimedia, lapangan olahraga, dan fasilitas ekstra kurikuler seperti ruang seni, studio musik, dan aula untuk kegiatan akademik dan non-akademik. Survei awal yang dilakukan di SMA Islam Sultan Agung 3 Semarang, siswa memerlukan pelatihan IoT berbasis ESP32 untuk peningkatan literasi digital dan talenta digital. Tim merancang modul perangkat, buku petunjuk dan melaksanakan pelatihan di lokasi SMA Islam Sultan Agung 3 Semarang. Hasil dari kegiatan ini adalah SMA Sultan Agung 3 memiliki modul perangkat dan buku petunjuk pelatihan IoT berbasis ESP32 serta meningkatnya literasi digital dan talenta digital siswa.Knowledge of the Internet of Things (IoT) is becoming increasingly important in the digital age, or the era of today's Industry 4.0 revolution. Efforts to provide students or teachers of higher secondary schools (SMA/SMK) can be done with the involvement of the college. The Islamic University of Sultan Agung (UNISSULA) Semarang, Indonesia, in collaboration with University College TATI (UCTATI) Malaysia, has a social responsibility to equip students and teachers in developing digital literacy and giving birth to the digital talents of high school students. To realize this, UNISSULA and UCTATI carry out joint activities to design and implement IoT training based on ESP32 for students and teachers of Islamic High School Sultan Agung 3, Semarang.Islam Sultan Agung High School 3 is equipped with facilities that support the learning process and student development. Facilities include comfortable and equipped classrooms with learning equipment, science laboratories, libraries, computer rooms, multimedia rooms, sports fields, and extracurricular facilities such as art rooms, music studios, and halls for academic and non-academic activities. In the initial survey conducted at Sultan Agung Islamic High School 3 Semarang, students required ESP32-based IoT training to enhance digital literacy and digital talent. The community dedication team of the Engineering Informatics Faculty of Industrial Technology at UNISSULA collaborated with UCTATI Malaysia to organize activities at Sultan Agung 3 Semarang Islamic High School for IoT training based on ESP32.The result of this activity is Sultan Agung High School 3, which has a device module and an ESP32-based IoT training manual, as well as increased digital literacy and digital talent among students.
Increasing Trust in AI with Explainable Artificial Intelligence (XAI): A Literature Review Nasien, Dewi; Adiya, M. Hasmil; Anggara, Devi Willeam; Baharum, Zirawani; Yacob, Azliza; Rahmadhani, Ummi Sri
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.193

Abstract

Artificial Intelligence (AI) is one of the most versatile technologies ever to exist so far. Its application spans as wide as the mind can imagine: science, art, medicine, business, law, education, and more. Although very advanced, AI lacks one key aspect that makes its contribution to specific fields often limited, which is transparency. As it grows in complexity, the programming of AI is becoming too complex to comprehend, thus making its process a “black box” in which humans cannot trace how the result came about. This lack of transparency makes AI not auditable, unaccountable, and untrustworthy. With the development of XAI, AI can now play a more significant role in regulated and complex domains. For example, XAI improves risk assessment in finance by making credit evaluation transparent. An essential application of XAI is in medicine, where more clarity of decision-making increases reliability and accountability in diagnosis tools. Explainable Artificial Intelligence (XAI) bridges this gap. It is an approach that makes the process of AI algorithms comprehensible for people. Explainable Artificial Intelligence (XAI) is the bridge that closes this gap. It is a method that unveils the process behind AI algorithms comprehensibly to humans. This allows institutions to be more responsible in developing AI and for stakeholders to put more trust in AI. Owing to the development of XAI, the technology can now further its contributions in legally regulated and deeply profound fields.