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All Journal Emitor: Jurnal Teknik Elektro Journal of Humanities, Social Sciences, and Education
Abd. Rahman Saleh
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Humanities Education Engineering Social Sciences

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Low-cost Device to Upcycling PET Plastic Bottle Into 3D Printer Filament Rodiana, Irham Mulkan; Pramudita, Brahmantya Aji; Barokatillah, Nyimas Anggun; Abd. Rahman Saleh; Aghesa Tri Nirbhita Daniswara
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.10473

Abstract

Plastic waste poses a substantial risk, causing blockages in water channels and contributing to flooding incidents. The accumulation of plastic bottles, which can take 450 to 1000 years to decompose, accelerates environmental degradation. The Ministry of Environment and Forestry (KLHK) supports waste utilization industries through the 3R principle (Reuse, Reduce, Recycle), with recycling offering a sustainable way to reuse materials. The advent of Industry 4.0 brings technological advancements, particularly in 3D printing through the FDM method. Addressing this issue requires more efficient waste management, promoting the use of refillable bottles, seeking eco-friendly packaging materials, and recycling PET bottles into 3D printing filaments. This approach provides low-cost value, reducing dependence on virgin materials and cutting waste. Additionally, the development of a mobile app adds integrated value, enabling users to efficiently set up devices for optimized filament production. A clean and sustainable environment necessitates full support from government policies and collaboration among the government, industry, and the community. Filament testing from plastic bottles reveals variations in diameter based on experimental speed. At 4 RPM, the filament measures 1.6 mm, while other speeds result in approximately 1.7 mm. The combination of 2 RPM speed and a temperature of 200°C, and 3 RPM speed with a temperature of 210°C, proves most suitable for high-quality 3D printing of Vase and 3D Benchmark from plastic bottles.
Mengembangkan Potensi Multiple Intelligences Siswa SD melalui Kurikulum Deep Learning Abd. Rahman Saleh; Salmiah
Journal of Humanities, Social Sciences, and Education Vol. 1 No. 3 (2025): Edisi Mei 2025
Publisher : FKIP UNSULTRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64690/jhuse.v1i3.48

Abstract

This study is a literature study that aims to analyze how deep learning curriculum can be used to develop the potential of multiple intelligences in elementary school students. Multiple intelligences or multiple intelligences proposed by Howard Gardner include eight types of intelligence, namely linguistic, logical-mathematical, spatial, musical, kinesthetic, interpersonal, intrapersonal, and naturalist. In the context of elementary education, it is important for teachers to not only focus on academic intelligence, but also accommodate the various forms of intelligence possessed by students. The deep learning curriculum focuses on in-depth, meaningful, and learner-centered learning. This approach supports the development of multiple intelligences because it provides space for students to actively explore their interests, talents, and learning styles. This study analyzed 20 national and international journals published in the last five years that are relevant to the topic. The results of the study show that the implementation of the deep learning curriculum through contextual, project-based, and collaborative learning can facilitate the development of various intelligences in elementary school students. This curriculum also requires the role of teachers as facilitators who are able to design different learning strategies according to student characteristics. This study recommends the need for teacher training and the preparation of deep learning-based teaching tools that are adaptive to the diversity of children's intelligence.
ChatGPT sebagai Asisten Pengajar: Pemanfaatan Generative AI untuk Efisiensi Pembuatan Materi Ajar dan Soal Evaluasi Abd. Rahman Saleh; Muhammad Naim; Muhammad Ikhwan Ahmad; Suherni Suherni; Sukriati Sukriati
Journal of Humanities, Social Sciences, and Education Vol. 1 No. 9 (2025): Edisi Nopember 2025
Publisher : FKIP UNSULTRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64690/jhuse.v1i9.447

Abstract

The development of generative artificial intelligence (AI) technology has brought significant changes to modern education. One prominent implementation is the use of ChatGPT as a teaching assistant capable of supporting the process of creating teaching materials and assessment questions more efficiently. This literature review aims to examine ChatGPT's potential in improving teacher effectiveness, particularly in the context of primary and secondary education. The study was conducted through a systematic review of various scientific publications published between 2022 and 2025 that discuss the application of generative AI in education. The analysis results indicate that ChatGPT can be used to generate learning material designs, automatically compile questions, and provide early feedback on student learning outcomes. The use of ChatGPT has been proven to save time in the learning design process, allowing teachers to focus more on pedagogical aspects and interactions with students. However, key challenges identified include the accuracy of the generated content, the potential for algorithmic bias, and issues of academic integrity, which require serious attention. Furthermore, clear institutional policies are needed, as well as improving digital literacy and ethical use of AI among educators. Based on the review results, it was concluded that ChatGPT has strategic potential as a teacher aid to support learning efficiency and innovation, as long as its use is directed wisely and accompanied by professional supervision to ensure it remains aligned with educational goals oriented toward character development and 21st-century competencies.
Co-Authors Aghesa Tri Nirbhita Daniswara Barokatillah, Nyimas Anggun Brahmantya Aji Pramudita Irham Mulkan Rodiana Muhammad Ikhwan Ahmad Muhammad Naim Salmiah Suherni Suherni Sukriati Sukriati