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All Journal ILKOM Jurnal Ilmiah Jurnal Abdimas Mahakam Jurnal Teknik Informatika (JUTIF) Journal of Applied Computer Science and Technology (JACOST) Journal of Computer and Information System (J-CIS) Malaqbiq : Jurnal Pengabdian kepada Masyarakat.
Sugiarto Cokrowibowo
Universitas Sulawesi Barat
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : Journal of Applied Computer Science and Technology (JACOST)

 1 
Model Penentuan Rute Terpendek Penjemputan Sampah Menggunakan Metode MTSP dan Algoritma Genetika Aswandi; Sugiarto Cokrowibowo; Arnita Irianti
Journal of Applied Computer Science and Technology Vol 2 No 1 (2021): Juni 2021
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v2i1.168

Abstract

Garbage pick-ups performed by two or more people must have a route in their pickup. However, it is not easy to model the route of the pickup that each point must be passed and each point is only passed once. Now, the method to create a route has been done a lot, one of the most commonly used methods is the creation of routes using the Traveling Salesman Problem method. Traveling Salesman Problem is a method to determine the route of a series of cities where each city is only traversed once. In this study, the shortest route modeling was conducted using Multiple Traveling Salesman Problem and Genetic Algorithm to find out the shortest route model that can be passed in garbage pickup. In this study, datasets will be used as pick-up points to then be programmed to model the shortest routes that can be traveled. The application of Multiple Traveling Salesman Problem method using Genetic Algorithm shows success to model garbage pickup route based on existing dataset, by setting the parameters of 100 generations and 100 population and 4 salesmen obtained 90% of the best individual opportunities obtained with the best individual fitness value of 0.05209. The test was conducted using BlackBox testing and the results of this test that the functionality on the system is 100% appropriate.
Uji Plagiarism pada Tugas Mahasiswa Menggunakan Algoritma Winnowing Moh Sadly Ramli; Sugiarto Cokrowibowo; Muh Fahmi Rustan
Journal of Applied Computer Science and Technology Vol 2 No 2 (2021): Desember 2021
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v2i2.177

Abstract

Plagiarism is the act of taking or plagiarizing the work, ideas or ideas of others either intentionally or unintentionally and claiming to be one's own work without mentioning the source or author. Often students plagiarize assignments given by the lecturer so that sometimes students just copy other people's assignments to complete the assignment. So that this can lead to dependence on other people in doing assignments and not being able to independently carry out assignments given by the lecturer. Currently, many plagiarism detection systems have been created to help reduce the level of plagiarism, one of which is the winnowing algorithm. In this study the authors used the winnowing algorithm to detect plagiarism in student assignments, namely programming source code, from the results of research conducted on 10 student assignments using the winnowing algorithm produced various similarity values as a percentage of similarity between two students tasks compared. With an average value of the overall similarity of the 10 tasks, namely 75.12%.
Co-Authors A. Amirul Asnan Cirua Adawiah, Nadilatul Ahmad Thamrin Dahri Aji Prasetya Wibawa Alief Taufik Anak Agung Istri Sri Wiadnyani Andriani Anggit Priadmojo Arfa Arfa Arnita Irianti Arnita Irianti Aswandi Bustamin cindi cirua, asnan Citra Suardi Dahlia Patah, Dahlia Dasar, Amry Dian Megah Sari Enny Radjab Faradilah F. Karim Farid Wajidi Gerard Antonini Duma Hasanuddin, Tasrif Indra Irfan A.P. Ismail Moh Sadly Ramli Mufti Hatur Rahmah Muh Fahmi Rustan Muh. Aliyazid Mude Nur, Nahya Nuralamsah Zulkarnaim Nuralamsyah Zulkarnaim Nurdina Rasjid Parma Hadi Rantelinggi Ridwan Siti Aminah Tasrif Hasanuddin wahyuni wahyuni rahman Wawan Firgiawan