Iskandar, M. Nur
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Analisa perpindahan panas pada dies squeeze casting Mafruddin, Mafruddin; Iskandar, M. Nur; Irawan, Dwi
TURBO [Tulisan Riset Berbasis Online] Vol 9, No 1 (2020): Jurnal TURBO
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.616 KB) | DOI: 10.24127/trb.v9i1.1219

Abstract

The squeeze casting process is a metal casting process that requires a tool called extortion. Diess on casting is a component that determines checking performance. Based on this excuse, it is necessary to do a performance analysis (thermal) on squeeze casting to determine components performances. This study aims to determine the performance of the diess in squeeze casting which requires the allocation of heat that occurs and thermal efficiency diess. This research was conducted with a real experimental method with variations in testing at temperatures of 100ºC, 200ºC, 300ºC, and 400ºC using Magnesium AZ31 material and combined with aluminum. From the results of research published on the biggest thermal heater that is at a temperature of 400° C of 970.68 W with a thermal efficiency of 18%. While the heat that occurs at a temperature of 100ºC is 489.25 W and thermal efficiency is 9%, at a temperature of 200ºC is 806.28 W and thermal efficiency is 15% and at a temperature of 300ºC is 864.98 W and thermal efficiency is 16%.Keywords: Temperature, diess, squeeze casting performance.
Peran Kepala Sekolah dalam Mendukung Pemanfaatan Kecerdasan Buatan (AI) oleh Guru untuk Pengembangan Pembelajaran di Sekolah Menengah Pertama Kholidin, Kholidin; Karmiati, Karmiati; Abdussofi, Khaedar; Umam Muttaqin, Khaerul; Iskandar, M. Nur; Suparjo, Suparjo
Indonesian Journal of Islamic Educational Management Vol 8, No 2 (2025): IJIEM
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijiem.v8i2.38752

Abstract

This study aims to identify the role of school principals in supporting teachers’ use of Artificial Intelligence (AI) for developing Deep Learning Lesson Plans in junior high schools, analyze how such support influences teachers’ competencies, and develop a relevant training program model to enhance teachers’ utilization of technology. This research employed aqualitative approach with a case study design, involving school principals and teachers from schools that have integrated educational technology. Data were collected through in-depth interviews, classroom observations, and document analysis including s and school policies. Research instruments consisted of semi-structured interview guides and observation notes, while data validity was strengthened using triangulation techniques. Thematic analysis was applied to identify key patterns related to the principal’s support in AI implementation. The findings show that school principals play a strategic role in six key areas: technology facilitation, professional guidance, linkage to learning resources, implementation supervision, teacher innovation encouragement, and school policy management. Principal support significantly enhances teachers’ motivation and competence in using AI to develop more creative, data-driven, and student-responsive s. Furthermore, systematic training and mentoring provided by principals strengthen teachers’ confidence in integrating technology into their instructional practices. The leadership role of school principals that specifically integrates strategic, pedagogical, and policy support in the utilization of artificial intelligence (AI) for the development of Deep Learning Lesson Plans at the junior high school level. Overall, this study highlights the importance of visionary school leadership in optimizing the use of AI to improve learning quality.