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All Journal Journal of Electrical Technology UMY Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Emerging Information Science and Technology Electrician : Jurnal Rekayasa dan Teknologi Elektro
Jeckson, Jeckson
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Other

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Journal : Emerging Information Science and Technology

 1 
Study On Implementation Of Watergate Control System From Manual To Automatic Based Arduino Nano ATmega328 Syafrudin, Ahmad; Jeckson, Jeckson; Afrida, Yenni
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22424

Abstract

The system for processing river water into clean water by operating sluice gates which are controlled manually by operators often causes problems (human error), so a system must be created that is capable of controlling sluice gates automatically. The turbidity sensor detects water turbidity which is then accepted by the Arduino nano as the basis for controlling the water gate. In this research, data collection techniques were carried out using interviews with resource persons (operators), observation and literature study. After the automatic sluice control system based on the Arduino nano ATmega328 was implemented, the results obtained were: When the water conditions are muddy and murky, relay one is "on", relay two is "off" (the sluice gate is closed), while when the water conditions are normal and clear then the relay two "on" relays and one "off" relay (open floodgate). In this way, we no longer just have to rely on the operator to control the sluice gate, so that the water treatment process can be more optimal and efficient
Analysis and Visualization of High School Student Achievement Data Using Decision Tree and Cross-Validation in Rapidminer Hartanta, Radhitya Yunandri; Asroni, Asroni; Riyadi, Slamet; Jeckson, Jeckson
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20731

Abstract

The vision, mission, and work indicators of high school education are all geared toward producing graduates of excellent quality. Students’ academic performance in the first and second grades indicates their eventual excellence as graduates. However, it is not feasible to ensure that students in the third year have good results only by comparing their academic achievements during the first and second grades. School leaders and policymakers can benefit from data analysis and visualization by gaining insight into recurring patterns and emerging trends in their stored data. Leaders and management at schools can benefit significantly from Rapidminer’s decision tree and cross-validation data analysis methods when trying to figure out what to do about students performing well or poorly academically.
Co-Authors A, Ancolo Afrida, Yenni Agus Jamal Anna Nur Nazilah Chamim Asroni, Asroni Fajar Rhomadon Hartanta, Radhitya Yunandri Hidayat, Arief Rahman Huwaina, Mashdaria Mutiara Sari Ramadoni Syahputra Saputeri, Noorikha Pandayahesti Setiawan, Aditiya Slamet Riyadi Syafrudin, Ahmad Warsiyah Warsiyah, Warsiyah