Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Nico Saputro
Universitas Katolik Parahyangan
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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

Found 2 Documents
Search

 1 
Perancangan Awal Sistem Automatic Self-Checkout Untuk Produk Buah Berbasis CNN dan Sensor Berat Loadcell Levin Halim; Wafi Faisal Falah; Nico Saputro
Jurnal Teknik Vol 21 No 1 (2023): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v21i1.255

Abstract

The check-out system is one of the most important systems when we make purchases at a shopping center, shops, supermarkets, or mini markets. Determining different types of fruit is one of the problems faced in making payments, especially in supermarkets, because cashiers must determine the category labeling and weight of a particular fruit to determine the price. In this research, a design is proposed which utilizes Deep Learning in the field of image processing using the Convolutional Neural Network (CNN) algorithm utilizing RaspberryPi3. In making a classification system that uses deep learning, there are several main process stages, such as dataset collection, system design, training, and testing to see the results of the designed CNN model. The processed dataset in this research is a fruit image dataset derived from the Fruits-360. The results of the learning process obtained CNN models with 100% accuracy and loss of ≤ 0.026. The results of the CNN model that has been carried out will be combined with the load cell sensor which is expected to be used as an automatic self-checkout, especially for fruits. On the other hand, the calibration process of the loadcell weight measurement sensor is conducted which resulting an error measurement rate of 0.2 grams.
Pendampingan Program Technocreator dan Perancangan Kurikulum Ekstrakurikuler Robotik untuk SMAK 1 BPK Penabur Bandung: Technocreator Program Support and Robotic Extracuricular Curriculum Design for SMAK 1 BPK Penabur Bandung Levin Halim; Christian Fredy Naa; Bagus Arthaya; Nico Saputro; Ali Sadiyoko
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 3 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i3.6605

Abstract

This community service establishes a collaborative effort between Parahyangan Catholic University and SMAK 1 BPK PENABUR Bandung to enhance the TechnoCreator program through community involvement. The program aims to enhance students' understanding of electronics by incorporating advanced technologies like the Internet of Things (IoT) and machine learning. It also introduces the concepts of Industry 4.0 and technopreneurship. The research entailed conducting a series of focused group talks, often known as focus groups, to ascertain the material and learning requirements. Additionally, an extracurricular curriculum for robotics was developed. The outcomes are the creation of novel educational programs, maintenance of guest lectures, strategic planning for the construction of an ESP32-based Internet of Things kit, the design of a prototype industrial automation system, and the implementation of a supplementary robotics program aimed at enhancing students' preparedness for advanced studies in electrical engineering. The activity also seeks to facilitate the transfer of students from secondary education to college. The result implies that this project effectively enhances student learning experiences and can be used as a blueprint for comparable technology education programs in the future.
Co-Authors Ali Sadiyoko Bagus Arthaya Christian Fredy Naa Levin Halim Wafi Faisal Falah