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All Journal Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Komtika (Komputasi dan Informatika)
Alfath Nurul Fathony, Ikhwan
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Religion Arts Humanities Computer Science & IT Education Engineering Social Sciences

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Implementasi Model Convolutional Neural Network dalam Aplikasi Android untuk Identifikasi Limbah Infeksius Mareta, Affix; Estri Adiana, Beta; Wardhani, Olivia; Alfath Nurul Fathony, Ikhwan
Jurnal Komtika (Komputasi dan Informatika) Vol 8 No 2 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v8i2.12693

Abstract

After the COVID-19 pandemic passed, Indonesian citizens were still strict about using masks because active cases were still found. However, not all Indonesian people are aware that masks are an infectious waste, so after use, they are still disposed of carelessly. Apart from masks, other infectious waste in the form of battery waste which contains hazardous chemicals and food waste potentially to spread infectious diseases, is also dangerous for humans. These kinds of waste are major contributors to global pollution. Research on waste classification has been carried out a lot, but especially for infectious waste has not received much attention from researchers. For this reason, this research is useful to help the public distinguish infectious waste such as used food scraps, masks, and batteries so that they are more careful in disposing of waste. The research started with collecting datasets, which came from combining several infectious waste datasets available on the internet. This is done because there is no publicly available dataset that specifically contains infectious waste. Then, a classification model is created with Convolutional Neural Network (CNN) algorithm which has an accuracy of more than 90%. This algorithm has been widely used in previous studies but has never been used as a model applied to Android applications to classify infectious waste. In this study, the CNN model is applied to Android applications. From this research, an Android application with the CNN algorithm will be produced which can help Indonesians identify infectious waste with an accuracy of 94%.
Strengthening Human Resource Capacity through Digital Marketing Mentoring: Waste Bank Empowerment for Circular Economy Sustainability Ratnawati, Shinta; Mujib, Miftachul; Alfath Nurul Fathony, Ikhwan; Marva Ondrea Sugiyarto, Jauzaa; Subur Santoso, Rahmat
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 1 (2026): February 2026
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v10i1.2199

Abstract

Background: Gunungpring Village in Magelang District faces serious waste management challenges despite its strategic position as a religious and educational tourism center. This community service program was designed to enhance the digital marketing skills of waste bank administrators, thereby increasing the economic value of recycled products and supporting the sustainability of the circular economy. Purpose of the Study: This program aimed to enhance participants’ abilities in product design, pricing strategies, and the implementation of digital marketing through e-commerce and social media platforms. Method: The mentoring activities were conducted over six months using a participatory approach involving 40 participants and four mentors. The program included training sessions, workshops, hands-on digital marketing practice, and monitoring through pre–post tests, sales analysis, and participant reflection. Result: the program resulted in a 21-point increase in participants’ knowledge scores and an average 10% increase in monthly product sales. Beyond these measurable outcomes, the mentoring activities improved participants’ digital confidence, collaboration, and motivation. These findings demonstrate that strengthening human resource capacity through digital marketing mentoring can effectively support community economic empowerment and enhance the sustainability of circular economy–based waste management initiatives.
Co-Authors 12.520.20.206 Shinta Ratnawati, 12.520.20.206 Beta Estri Adiana Mareta, Affix Marva Ondrea Sugiyarto, Jauzaa Mujib, Miftachul Subur Santoso, Rahmat Wardhani, Olivia