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All Journal JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Algoritma
Widya Ambarwati
Universitas Borneo Tarakan
Computer Science & IT Dentistry Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Edukasi Teknologi dan Literasi Digital kepada Siswa SMP Negeri 12 Tarakan Arif Fadllullah; Amelia Manda Sari; Wahdana; Farhan Muhammad Nabil; Devi Sarmilah Chomariah; Widya Ambarwati; Muhammad Irfan
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 5 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i2.1574

Abstract

Pendidikan teknologi dan literasi digital merupakan hal yang penting untuk dikuasai oleh generasi muda, termasuk siswa SMP. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan siswa SMPN 12 Tarakan dalam bidang teknologi dan literasi digital. Kegiatan ini dilaksanakan dalam bentuk pembelajaran yang dibagi menjadi dua sesi, yaitu sesi teori dan sesi praktik. Pada sesi teori, siswa diberikan materi tentang dasar-dasar komputer dan pemrograman serta edukasi digital, seperti media sosial, pencegahan cyber bullying, dan manfaat teknologi. Pada sesi praktik, siswa diberikan kesempatan untuk menerapkan materi teknologi virtual reality dan pengembangan metode pembelajaran berbasis game, seperti praktik menggunakan VR dan membuat game pembelajaran tebak kata. Hasil dari kegiatan ini menunjukkan bahwa siswa SMPN 12 Tarakan memiliki pengetahuan dan keterampilan yang cukup baik dalam bidang teknologi dan literasi digital. Namun, masih terdapat beberapa hal yang perlu ditingkatkan, seperti kemampuan siswa dalam menggunakan teknologi secara kreatif dan produktif.
Prototype Sistem Ventilasi Pengendalian Kualitas Udara Ruang Laundry Menggunakan Rule-Based Berbasis IoT Kharis Hudaiby Hanif; Widya Ambarwati; Dedy Harto
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3245

Abstract

Poor air quality in laundry rooms is generally caused by high temperature and humidity levels as well as potential exposure to carbon monoxide (CO) gas from equipment operations, which can reduce working comfort and increase health risks if not properly managed. This study proposes a prototype of an automatic ventilation system based on the Internet of Things (IoT) using a rule-based approach to support adaptive air quality control. The contribution of this research lies in the design of decision rules that integrate gas concentration, temperature, and humidity parameters into three condition levels (normal, alert, and danger), as well as in the comprehensive evaluation of system performance as a reference for the development of similar systems. The system was developed using an ESP32 microcontroller with MQ-135 and DHT22 sensors, equipped with an exhaust fan actuator and warning devices, and real-time monitoring through the Blynk IoT platform. Testing was conducted over three days with 360 measurement data points. The results show that the DHT22 sensor achieved measurement accuracy of 97.84% for temperature and 84.65% for humidity, while the MQ-135 sensor reached 92.44%. IoT communication performance was also stable, with 0% packet loss and an average latency of 194.25 ms. In the applied testing scenarios, the rule-based classification demonstrated full conformity with the predefined criteria; however, generalization of the findings still requires further validation under broader operational conditions and environmental variations. Overall, the findings indicate that the proposed system is responsive and reliable, and has the potential to serve as a practical and relatively low-cost solution for monitoring and controlling air quality in laundry rooms.
Co-Authors Amelia Manda Sari Arif Fadllullah Dedy Harto Devi Sarmilah Chomariah Farhan Muhammad Nabil Hanif, Kharis Hudaiby Muhammad Irfan Wahdana