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Design of Coconut Milk Pressing Machine with Two Screw Shafts to Improve Extraction Efficiency and Quality Setiawan, Angga; Wijaya, Rahmat; Subeno, Agus; Budi Affandi, Arif; Okviyanto, Toni; Mubina Dewadi, Fathan
Jurnal Konversi Energi dan Manufaktur Vol. 11 No. 1 (2026)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.11.1.8

Abstract

Coconut milk pressing machines play an important role in coconut processing; however, conventional single-screw designs still face limitations related to pressure distribution and extraction stability. This study aims to design and analyze a coconut milk pressing machine, employing a counter-rotating two screw shafts configuration as an alternative to commonly used single-screw systems. The research methodology includes a reverse-engineering approach, analytical calculations to determine pressing capacity, power, torque, and pressure, and finite element analysis (FEA) simulations to evaluate the structural strength of main components. The analytical results indicate that the proposed design achieves a theoretical pressing capacity of 53 kg/h, with a shaft power requirement of 1.11 kW and a pressing pressure of 1.67 × 10⁵ N/m². FEA results show that the Von Mises stress and deformation remain below the allowable limits of the selected material, indicating a conservative, structurally safe design. All results presented in this study are theoretical and numerical in nature and have not yet been validated through experimental testing. The novelty of this work lies in the application of a counter-rotating two screw shafts configuration, which theoretically provides a more uniform pressure distribution than conventional single-screw systems without a significant increase in power consumption. Future work will focus on prototype fabrication and experimental testing to validate extraction performance, energy efficiency, and hygienic aspects.
Effectiveness of Epoxy Coating on Metal Surfaces of NEW773CAT Heavy Equipment Units Subeno, Agus; Setiawan, Angga; Okviyanto, Toni; Sumarna, Herlin; Setiawan, Dibyo; Widyawati, Fauzi
Jurnal Konversi Energi dan Manufaktur Vol. 11 No. 1 (2026)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.11.1.6

Abstract

This study investigates the effectiveness of the epoxy coating system on NEW773CAT heavy equipment unit operating in a mining environment. The research primarily focuses on the influence of surface preparation methods, dry film thickness (DFT), and coating type on corrosion resistance and adhesion strength. Field case studies, thickness measurements, and visual inspections were employed to assess the performance of coating system. The results reveal that average coating thickness of 396 μm significantly exceeds the minimum ISO 12944 category C5-I standard, which specifies a DFT of 320-400 μm for high corrosivity environments. The surface preparation process using high-pressure cleaning and power tool cleaning (ST 3.0) was found to produce an ideal substrate for epoxy coating application. The use of high-built epoxy mastic as the primer and Aliphatic Polyurethane as the top coat demonstrated excellent corrosion protection and optimal interlayer adhesion. The spray application technique resulted in a uniform coating with no visible defects. This study emphasizes the importance of combining effective surface preparation and precise coating specifications to ensure long-term protection of metal surfaces in harsh environments. The findings suggest that epoxy coating systems, when correctly applied and prepared, can provide robust protection against corrosion, extending the service life of heavy equipment exposed to aggressive conditions like those found in mining operations.
PERANCANGAN ALAT PENGERING IKAN DENGAN MENGGUNAKAN KOLEKTOR SURYA PLAT DATAR KAPASITAS 5KG setiawan, Angga; Misbahudin; Ridwan, Iwan; Wijaya, Rahmat
IONTech Journal Vol. 6 No. 2 (2025): Agustus 2025
Publisher : Institut Sains dan Teknologi Al-Kamal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62702/ion.v6i2.134

Abstract

Rancangan alat pengering ikan ini berkapasitas 5 kg per hari. Dirancang untuk menurunkan kadar air menjadi 40% dari kadar air awal 70% atau sebanyak 2,5 kg. Untuk pengeringan tersebut dibutuhkan energy sebesar 6,2442 MJ. Maka luas absorber kolektor surya yang dibutuhkan seluas 1,2m2 dengan asumsi hilang panas pada kolektor sebesar15 %. Untuk pengering dengan panas konveksi alami, laju alir udara harus pada range 0.02 – 0.9 kg s -1. Tinggi saluran udara pada kolektor adalah 12 cm menghasilkan laju alir masa udara 0,045 kg s -1 sudah memenuhi ketentuan. Letak Kota Jakarta ada pada posisi 6o Lintang Selatan dan 106 o 48 ‘ Bujur Timur. Sudut kemiringan terbaik untuk kolektor surya direkomendasikan 26o dari garis horizontal permukaan. Dimensi lemari pengering dibuat dengan Panjang, lebar dan tinggi sebesar 60 x50 x 70 cm dengan jumlah rak sebanyak 5 buah.
EFEKTIVITAS PENGGUNAAN AI DALAM MENINGKATKAN KETERAMPILAN MENGAJAR CALON GURU: SUATU TINJAUAN PUSTAKA SISTEMATIS Setiawan, Angga
Educational Technology Journal Vol 6 No 1 (2026): Volume 6, Issue 1, April 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background/Purpose: The rapid emergence of Artificial Intelligence (AI) necessitates an investigation into its impact on pre-service teacher (PST) competence. This systematic literature review (SLR) investigates AI's effectiveness in enhancing PSTs' teaching skills and professional competence. Methodology: Following PRISMA guidelines, a comprehensive database search yielded 68 initial studies, with 17 selected for synthesis. The analysis focused on AI tools, targeted teaching skills, and competence development, mediating factors like learning motivation (LM) and perceived usefulness (PU). Findings: AI interventions significantly enhance various teaching skills. AI-driven simulations and conversational agents improve responsive teaching, instructional dialogue quality , and nonverbal skills. AI-supported learning positively impacts Pedagogical Content Knowledge (PCK), TPACK , and deepens reflective patterns. The benefits are strongly mediated by enhanced LM and PU. Conclusion: AI implementation is a scalable and ethical mechanism to bridge the theory-practice gap, significantly developing PSTs' teaching expertise. A focused approach integrating TPACK and PCK is crucial to maximize pedagogical benefits.