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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.
Pneumonia detection system using convolutional neural network with DenseNet201 architecture Qomaruddin, Muhammad; Riansyah, Andi; Hermawan, Hildan Mulyo; Taufik, Moch
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 14, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v14i3.pp1172-1178

Abstract

The diagnosis of pneumonia remains a significant challenge for medical practitioners worldwide, particularly in regions with limited healthcare resources. Traditional interpretation of chest X-rays is time-consuming and often subjective, especially when images are of low quality. This study presents the development of a web-based system utilizing the DenseNet201 architecture to address these challenges. A series of experiments were conducted to evaluate three optimizers Adam, Adamax, and Adadelta over fifty epochs. Among them, Adamax yielded the best performance, achieving a training accuracy of 93.67% and a validation accuracy of 94.20%. When tested on new data, the system consistently delivered high performance, with accuracy, precision, recall, and F1 score all reaching 96%. These results suggest that the proposed system has the potential to significantly enhance the accuracy and efficiency of pneumonia diagnosis based on chest X-rays.
Mamdani fuzzy-based water quality monitoring and control system in vannamei shrimp farming using the internet of things Qomaruddin, Muhammad; Riansyah, Andi; Hermawan, Hildan Mulyo
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp180-187

Abstract

Indonesia's vast ocean expanse, spanning two-thirds of its land, is a treasure trove of marine resources, with shrimp being a vital commodity in the country's fisheries exports. To ensure successful shrimp production, maintaining optimal water conditions is paramount, necessitating extensive, large-scale monitoring. Enter our innovative prototype an internet of things (IoT) system designed for comprehensive pond water quality oversight. This smart system monitors crucial parameters like pH, turbidity, temperature, and dissolved solids in vannamei shrimp cultivation. The Mamdani fuzzy approach dynamically adjusts operations in response to changing weather conditions, fine-tuning both pump and windmill speeds. This adaptive methodology significantly improves water quality control, enhancing overall efficiency. Our IoT infrastructure ensures real-time monitoring and control, creating an ideal environment for shrimp cultivation. The Mamdani fuzzy technique’s effectiveness shines in adapting to dynamic environmental shifts. Noteworthy findings underscore the system's ability to automate and elevate pond water quality, promising increased shrimp production. This technology has the potential to revolutionize traditional shrimp farming, particularly in regions like Rembang, by promoting sustainable aquaculture practices.