Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Al-Khidmah Jurnal Pengabdian Masyarakat J-ENSITEC (Journal of Engineering and Sustainable Technology)
Syaifur Rohman, Ardianto
Unknown Affiliation
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Eksperimen IoT di Sekolah: Pemberdayaan Siswa SMA Negeri Ambulu Melalui Workshop Arduino Syaifur Rohman, Ardianto; Genarsih, Tunjung; Hasbiyati, Haning; Nurazaq , Warit Abi; Angel Tantri, Prisilia
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): MEI-AGUSTUS
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v5i2.4096

Abstract

The rapid development of Internet of Things (IoT) technology has driven transformation across various sectors, including education. Understanding IoT—particularly through the use of microcontrollers such as Arduino—has become an essential skill that should be introduced early to students in preparation for the challenges of the Fourth Industrial Revolution. An Arduino workshop held at SMA Negeri Ambulu Jember aimed to enhance students’ understanding and skills in technology, especially in the context of IoT applications. The activity employed an experimental learning approach using Arduino microcontrollers and various sensors, including the DHT11 (temperature and humidity), HC-SR04 (ultrasonic distance), and LDR (light intensity). Through hands-on practice, students were introduced to basic IoT concepts, microcontroller programming, and sensor data integration and analysis. The evaluation results showed significant improvements in students’ cognitive and psychomotor abilities, as reflected in their capability to design and implement sensor-based systems independently. This workshop demonstrated that project-based and hands-on learning methods are effective in fostering interest and improving technological literacy among high school students.
OPTIMASI STRATEGI TOOLPATH CNC DENGAN GREY RELATIONAL ANALYSIS UNTUK MENINGKATKAN EFISIENSI PEMESINAN Sihmaulana Dwianto; Genarsih, Tunjung; Syaifur Rohman, Ardianto
J-ENSITEC Vol. 11 No. 02 (2025): June 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v11i02.13808

Abstract

This study aims to optimize CNC toolpath strategies using Grey Relational Analysis (GRA) to enhance machining efficiency. Five toolpath strategies—Zigzag, Constant Overlap Spiral, Parallel Spiral, One Way, and True Spiral—are systematically evaluated based on spindle speed, feed rate, depth of cut, and step over, assessing their impact on machining performance.The machining process is conducted using a 3-axis CNC milling machine equipped with a 10 mm diameter endmill tool. Data collection is performed through Mastercam software, where numerical simulations precede the application of Grey Relational Coefficient (GRC) and Grey Relational Grade (GRG) computations to determine the optimal toolpath strategy.The results indicate that the Zigzag toolpath, configured with a spindle speed of 1300 RPM, feed rate of 700 mm/min, depth of cut of 0.8 mm, and step over of 8 mm, achieves the highest GRG value, signifying superior machining efficiency. Further analysis demonstrates that optimizing toolpath parameters significantly enhances process stability, reduces energy consumption, and shortens production cycle time, contributing to increased productivity in CNC machining operations. These findings provide valuable insights for the manufacturing industry, presenting a data-driven framework for selecting optimal toolpath strategies to improve machining precision, operational cost efficiency, and sustainable production practices.
Co-Authors Angel Tantri, Prisilia Hasbiyati, Haning Nurazaq , Warit Abi Sihmaulana Dwianto Tunjung Genarsih, Tunjung