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THE USE OF AUDIOVISUAL METHODS TO IMPROVE SPEAKING SKILLS AT THE CENTER FOR PROMOTION OF FOREIGN LANGUAGES, PAITON PROBOLINGGO Rahman, Ahmad Fauzi; Wijaya, Muallim
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 1, No 1 (2023): First International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

This study aims to describe the speaking skills of students who are taught using film media in learning Arabic, as well as to determine the development of speaking skills in students of the Center for Foreign Language Promotion. , reading skills, and writing skills are the four skills in Arabic. . Speaking skills are one of the basic skills that students must master when learning Arabic. Film media is a form of entertainment that not only provides entertainment to the audience but also helps facilitate social and class communication, and determines the level of fluency of a person in communicating in Arabic.
Effect of Cutting Parameters on Surface Roughness in CNC Milling Process Rahman, Ahmad Fauzi; Kowalska, Maria; Tanaka, Hiroshi
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 4 (2025): RESWARA: Jurnal Riset Ilmu Teknik, October 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i4.417

Abstract

Surface roughness is a critical quality indicator in the CNC milling process, directly influencing the functional performance, fatigue life, and aesthetic quality of machined components. The rapid development of advanced materials and high-precision manufacturing has intensified the need to understand and optimize machining parameters to achieve superior surface integrity. This study aims to systematically analyze the effects of cutting parameters on surface roughness in CNC milling by synthesizing and critically discussing findings from recent experimental and analytical studies. A comprehensive literature-based research method was employed, involving peer-reviewed journal articles indexed internationally and nationally, focusing on milling operations across metallic, composite, polymeric, and wood-based materials. The analysis reveals that feed rate consistently emerges as the most influential parameter affecting surface roughness, followed by cutting speed and depth of cut, although their relative significance varies depending on material properties, tool geometry, lubrication conditions, and machining strategies. Advanced approaches such as Taguchi methods, response surface methodology, and machine learning-based models demonstrate substantial potential in predicting and minimizing surface roughness. The findings confirm that optimal selection and control of cutting parameters can significantly enhance surface quality and machining efficiency. This article contributes a consolidated scientific perspective that can serve as a reference for researchers and practitioners in optimizing CNC milling processes.