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All Journal Jurnal Pendidikan Vokasi Jurnal Pendidikan Teknik Mesin Indonesian Journal of Educational Research (IJER) Sistem : Jurnal Ilmu-Ilmu Teknik Journal of Environment and Sustainability The Spirit of Society Journal : International Journal of Society Development and Engagement JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Pendidikan Vokasi Otomotif International Journal of Tourism and Hospitality in Asia Pasific
Umaroh, Susi Tri
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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Analysis of middle semester exam subjects for Automotive Vehicle Chassis (AVC) to improve the implementation management of learning evaluation Umaroh, Susi Tri; Soeryanto, Soeryanto; Warju, Warju; Marniati, Marniati
Jurnal Pendidikan Vokasi Vol. 12 No. 1 (2022): February
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v12i1.45472

Abstract

Entering the 21st century with the industrial revolution 4.0, the speed of progress in information and communication technology has become unstoppable. One of the most benefited from these advances in the world of education. Exploration of learning resources, and discussion forums, for the evaluation of learning can be done easily because of technological advances. Learning evaluation can use a digital platform, and it is very easy to analyze to improve the management of the implementation of learning evaluation. This study was conducted to analyze the mid-semester test instrument, which includes Higher Order Thinking Skills (HOTS) questions and is used to measure students' abilities in the subject of Automotive Vehicle Chassis (AVC) in the Department of Automotive Engineering) at SMK Dharma Bahari Surabaya, Indonesia. This research method is descriptive and quantitative. The sample in this study was 40 students. The mid-semester questions were given as many as 40 questions related to the mid-semester exam material using the Quizizz platform. Analysis of the items is carried out by using the Rasch model approach to obtain fit items. This analysis was carried out with the help of Winsteps 3.73 software. In this study, it was found that the instrument of the question that Person Reliability at mid-semester Automotive Vehicle Chassis (AVC) was 0.85 while item reliability was 0.86. The magnitude of Cronbach's Alpha is 0.86, so it can be used to evaluate learning in AVC subjects according to the Rasch model.
MODEL PREDIKSI TEMPERATUR PAHAT PADA PROSES BUBUT MELALUI ANOVA DAN REGRESI Arifianti, Lailatus Sa'diyah Yuniar; Ariyanto, Sudirman Rizki; Umaroh, Susi Tri; Abdi, Ferly Isnomo; J, Mohammad R.
SISTEM Jurnal Ilmu Ilmu Teknik Vol 21 No 2 (2025): In-Press
Publisher : Fakultas Teknik Universitas Wisnuwardhana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/sistem.v21i2.308

Abstract

Pada proses pembubutan, temperatur tinggi sering terjadi akibat gesekan antara pahat dan benda kerja, yang berdampak pada peningkatan keausan pahat dan penurunan kualitas hasil pemesinan. Penelitian ini bertujuan untuk menganalisis pengaruh parameter proses, yaitu kecepatan putar (spindle speed), kecepatan makan (feed rate), dan kedalaman potong (depth of cut), terhadap temperatur pahat menggunakan metode analisis variansi (ANOVA) dan regresi linier berganda. Percobaan dilakukan sebanyak 16 kali berdasarkan rancangan faktorial penuh 2³ dengan dua replikasi. Hasil analisis menunjukkan bahwa feed rate dan depth of cut berpengaruh signifikan terhadap temperatur pahat, sedangkan spindle speed tidak memberikan pengaruh yang signifikan secara individual. Namun, interaksi antara faktor-faktor tersebut terbukti memberikan pengaruh yang signifikan terhadap temperatur. Model regresi linier berganda yang dikembangkan memiliki nilai koefisien determinasi (R²) sebesar 93,99%, yang menunjukkan kecukupan model untuk prediksi. Temuan ini memberikan kontribusi dalam pengendalian parameter proses untuk meminimalkan temperatur pahat, memperpanjang umur pahat, serta meningkatkan efisiensi dan kualitas dalam proses pembubutan.
Co-Authors AA Sudharmawan, AA Agung Prijo Budijono Alfianti, Amalia Forma Arifianti, Lailatus Sa'diyah Yuniar Ariyanto, Sudirman Rizki Djoko Suwito Ferly Isnomo Abdi Hidayatullah, Rachmad Syarifudin J, Mohammad R. Khofi, Muhammad Ichsan Khoirul Huda Lilik Anifah Marniati Marniati, Marniati Muhammad Syahril Mubarok Nugraha, Ata Syifa Nur Vidia Laksmi B Nurlita, Ita Pratama, Muhammad Yandi Purnomo, Ahmad Setyo Rahayu, Imami Arum Tri Rahmadian, Reza Sari, Handini Novita SOERYANTO Soeryanto Soeryanto Sri Handajani Supari Muslim Tjahyaningtijas, Raden Roro Hapsari Peni Agustin Wahyu Dwi Kurniawan WARJU Warju, Warju - Widi Aribowo Widoretno, Yustin Setiya Wiyanto, Theodorus Yunitasari, Bellina