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Design and Development of a Smart Trash Bin to Minimize Odor from Household Waste Based on the Internet of Things Mohd Abdul Ghaffar; David HL, David; Kim Leah; Mansyur
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 2 (2024): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i2.51

Abstract

The problem that occurs is that household waste continues to increase along with the development of population and the number of increasingly dense settlements. The existence of this household waste is of concern to the community and the government because it can cause various negative impacts. Based on the results of observations of the existing trash cans, the accumulation of household waste is the source of this unpleasant odor. Smell is connoted as something that tends to disturb comfort, and gives the impression of being unclean and the like, such as fishy, rotten, urine, rancid, and so on. The smell of burning garbage is also dangerous because it contains H2 which reduces the amount of oxygen in the air. This study aims to prevent the occurrence of unpleasant odors from garbage. The tool will be designed using the NodeMCU microcontroller with website-based monitoring and Whatsapp notifications automatically when the trash can is full and automatic deodorizing powder spraying according to the concentration of gas released by the stench. This study uses the Experimental and Comparative Testing method in designing an IoT-based Smart Trash Bin tool and conducting tests on the built system and comparing the test results with the expected system. The results of this study indicate that the Smart Trash Bin tool can work and function as expected, namely being able to minimize the unpleasant odor emitted by the trash can and being able to monitor the sprinkling of deodorizing powder, the status of the height of the trash can and can provide notifications both automatically and manual to officers through the website.
Implementation of the Merdeka Curriculum in Learning Supervision for Inclusion Programs in Primary Education Meyritha Trifina Sari; Dian Yunitasari; Achmad Supriyanto; Kim Leah
Jurnal Abdimas Cendekiawan Indonesia Vol. 2 No. 1 (2025): January
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v2i1.88

Abstract

This community service aims to socialize the implementation of the Merdeka Curriculum for learning supervision in inclusion service programs in education units. The activity involved 2,500 participants, including education supervisors, principals, and teachers in Jombang district. Conducted on April 3, 2024, via Zoom and YouTube Live, the session lasted 90 minutes from 09.00 to 10.30 WIB. The event utilized an interactive dialogue approach, engaging policymakers from the Jombang District Education Office and related agencies. This initiative yielded significant outcomes. First, it enhanced participants' understanding of the importance of learning supervision in inclusion programs, which is crucial for ensuring the optimal implementation of these programs in schools. Second, it initiated plans for subsequent interactive dialogues on supervisory themes in inclusion programs, fostering continued collaboration and knowledge sharing among stakeholders. Moreover, the activity provided actionable recommendations for policy enhancements to strengthen the supervision process, enabling more structured and effective practices in inclusive education. These policy recommendations are expected to address challenges in the field, such as resource allocation, training for educators, and monitoring mechanisms. This community service highlights the critical role of collaboration between policymakers, educators, and schools in advancing inclusive education, thereby supporting the broader goals of equitable access and quality education for all students in the Jombang district.