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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknik Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Nico Saputro
Universitas Katolik Parahyangan
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences

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Penempatan Iklan Baris dengan Algoritma Genetik Nico Saputro; Beatrix Beatrix
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2006
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Makalah ini membahas penerapan algoritma genetik sebagai alternatif solusi dalam pemilihan dan penempatan iklan baris. Model genetik yang diusulkan memakai permutation encoding dimana posisi gen dalam kromosom merepresentasikan urut penempatan iklan dan nilai gen merepresentasikan iklan tertentu. Kami membuat operator crossover Multiple MPMX yang merupakan modifikasi dari Mixed-type Partial Matched Crossover (MPMX). Berdasarkan hasil eksperimen dapat disimpulkan bahwa algorima genetik dapat menyelesaikan masalah penempatan iklan baris dengan hasil mendekati optimal.Kata kunci: algoritma genetik, Multiple MPMX, iklan baris
PEMAKAIAN ALGORITMA GENETIK UNTUK PENJADWALAN JOB SHOP DINAMIS NON DETERMINISTIK Nico Saputro; Yento Yento
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 6 No. 1 (2004): JUNE 2004
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (119.983 KB) | DOI: 10.9744/jti.6.1.61-70

Abstract

Dynamic Job shops non deterministic scheduling problem is concerned with ordering some operations that processed by certain machines with variable and unknown arrival time of jobs. When new jobs arrive, it requires modifications in the existing schedule. We use Genetic Algorithm approach to the dynamic job shop non deterministic scheduling and rescheduling problem. Abstract in Bahasa Indonesia : Penjadwalan job shop dinamis non deterministik merupakan persoalan pengurutan sejumlah operasi yang diproses pada mesin-mesin tertentu dengan urutan pengerjaan berbeda untuk setiap job yang berbeda, dimana kedatangan job tersebut bervariasi dan tidak diketahui sebelumnya. Penjadwalan ulang diperlukan bila telah disusun suatu jadwal dan kemudian tiba suatu pekerjaan baru. Algoritma genetik dapat dipergunakan untuk menyusun jadwal maupun untuk menyisipkan jadwal saat ada penambahan pekerjaan tanpa mengubah jadwal yang telah dikerjakan sebelumnya. Kata kunci: algoritma genetik, penjadwalan dan penjadwalan ulang job shop dinamis non deterministik.
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 Halim, Levin; Naa, Christian Fredy; Arthaya, Bagus; Saputro, Nico; Sadiyoko, Ali
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.
Peningkatan Kompetensi Digital dan Manufaktur Melalui Pelatihan AI, Solidworks, 3D Printing, dan CNC Router di BLK Don Bosco Sumba Halim, Levin; Arthaya, Bagus M.; Saputro, Nico; Sadiyoko, Ali; Kinata, Felix K; Purnama, Felicia A; Soetrisno, Maydelyn A; Arief, M Chaerul
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 5 No. 5 (2025): September 2025 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v5i5.874

Abstract

Program pengabdian kepada masyarakat ini dilaksanakan di BLK Don Bosco Sumba dengan tujuan meningkatkan kompetensi peserta dalam bidang Artificial Intelligence (AI), desain digital, manufaktur aditif, dan pengoperasian mesin CNC. Kegiatan diikuti oleh 23 peserta yang terdiri dari instruktur dan siswa, berlangsung selama enam hari dengan pendekatan pelatihan partisipatif berbasis praktik langsung (hands-on training). Materi pelatihan meliputi empat sesi, yaitu pemanfaatan AI untuk mendukung pembelajaran, perawatan laptop, desain SolidWorks dan 3D Printing, serta pengoperasian mesin CNC Router. Hasil evaluasi menunjukkan bahwa seluruh aspek pelatihan memperoleh skor rata-rata di atas 4,5 (skala 1–5), dengan nilai tertinggi pada keterterapan materi. Temuan ini membuktikan bahwa kegiatan pelatihan dinilai relevan, aplikatif, serta mampu menciptakan suasana pembelajaran yang interaktif. Selain itu, integrasi AI dalam pendidikan memberikan perspektif baru bagi instruktur lokal, sedangkan praktik langsung dalam 3D Printing dan CNC Router memperkuat keterampilan peserta. Kegiatan ini menegaskan pentingnya pelatihan terstruktur berbasis praktik dalam peningkatan kualitas sumber daya manusia, sekaligus dapat menjadi model bagi program serupa di masa mendatang.
Co-Authors Ali Sadiyoko Arief, M Chaerul Arthaya, Bagus M. Bagus Arthaya Beatrix Beatrix Halim, Levin Halim, Levin Kinata, Felix K Naa, Christian Fredy Purnama, Felicia A Soetrisno, Maydelyn A Wafi Faisal Falah Yento Yento Yento Yento