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All Journal TEKNIK INFORMATIKA Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD) Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains JOIV : International Journal on Informatics Visualization IT JOURNAL RESEARCH AND DEVELOPMENT Journal of Teaching and Learning in Elementary Education Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Psychology and Instructions Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Instructional Development Journal Journal of Applied Engineering and Technological Science (JAETS) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Aksara: Jurnal Ilmu Pendidikan Nonformal Journal for Lesson and Learning Studies Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Teknik Informatika Journal of Applied Business and Technology Jurnal Elementaria Edukasia
Dewi Nasien
Instititut Bisnis Dan Teknologi Pelita Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : IT JOURNAL RESEARCH AND DEVELOPMENT

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Optimization of Genetic Algorithm in Courses Scheduling Dewi Nasien; Andi Andi
IT Journal Research and Development Vol. 6 No. 2 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.7896

Abstract

Scheduling courses is an intricate and pivotal part of a university as it impacts the teaching and learning process. The problem frequently occurs is the struggle of placing schedules which is manual, takes a long time, and inaccurate. This paper explores the process and how effective the genetic algorithm method is in solving scheduling problems in lecture environment. The selection of genetic algorithms owes to it produces an optimal scheduling solution. To build a scheduling optimization system, it is essential to collect room data, lecturers, courses, days and hours of teaching. The data collection comes from field studies by observations and interviews. Literature studies are also needed to acquire the basic course scheduling, optimization, genetic algorithms, PHP, MySQL, Bootstrap, and Visual Studio Code. The test outcomes attained the preeminent one with the highest fitness value in the number of generations, populations, the crossover combination and mutation rates. The final result showed that the first chromosome is the finest chromosome produces scheduling with the highest fitness value. The outcomes of the whole algorithm process are consistent with the original predicted data, and the same lecturer is not scheduled to teach more than once at the same time. It is expected that the application of the genetic algorithm method optimizes course scheduling with great outcome.
Implementation of the Winnowing Algorithm in Detecting Plagiarism in Title and Abstract of Student's Final Project Nasien, Dewi; Putra Yansen, Eka
IT Journal Research and Development Vol. 7 No. 1 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.7897

Abstract

In this modern era, technology has become more sophisticated. All information can be accessed quickly and efficiently. Nevertheless, when surfing the internet to search for information, people frequently find it almost similar and even have no different. Moreover, to news information content on the internet, similarities are found in final semester student research titles and abstracts as well. In preventing this, the researchers explored how to establish a website design by checking the similarity of titles and abstracts with winnowing method, which is exacted to complete examining the similarity of titles and abstracts on students' final assignments. The researchers applied dummy data obtained from Google Scholar for this study. The results revealed that the application of the winnowing method can aid in achieving similar results from the student's final assignments. It is deliberated as a benchmark for accepting a title and abstract at a university and reducing plagiarism.
Co-Authors Adiya, M. Hasmil Agus Joko Purwanto Agus Setiawan ahmad kamal, ahmad Ahmad Mulyadi Alberta Akbar Marunduri Alexander Cia Alin Meisya Putri Alyauma Hajjah Amalia Sapriati Andi Andi Andrean Leo Winata Anggara, Devi Willeam Angriawan, Sherkhing Anwar Senen Baharum, Zirawani Cici Oktaviani Dahliyusmanto, Dahliyusmanto Deny Deny Deny Jollyta Desnelita, Yenny Devi Willieam Anggara Diah Anugrah Dipuja Diniya Diniya Erlin Erma Yunita Farkhan, Mochammad Fenly, Fenly Feri Candra Firman Afriadi Fitri Indriani Fitriani, Mike Gusman, Taufik Gustientiedina Habibollah Haron Ihsan, M. Nurul Iis Afrianty Iis Afrianty Imran B. Mu’azam Jack Billie Chandra Jerry Go Jesi Alexander Alim Johan Johan Johanes Johanes, Johanes Kevin Charles Lo Laurensius Rendi Setiawan Leo, Leo Lina Warlina Lombu, Frendly M. Siddik Mahbubah, Khoiro Mahmud Dwi Sulistiyo Marlim, Yulvia Nora Mestika Sekarwinahyu Mike Fitriani Mochammad Farkhan Muhammad Rakha Muhammad Ridha Mukhsin Mukhsin Nazara, Elvin Meiwati Neni Hermita Neni Hermita Nopendri Nopendri Nor Fatihah Ismail Nursalim Oraple, Ezri Trivena Owen, Steven Pamungkas, Dwi Putra Yansen, Eka Rahmadhani, Ummi Sri Rahmadian Yuliendi, Rangga Ramalia Noratama Putri Ria Asrina Marza Rianda, Gilang Ricalvin Darwin Richard M.C Richardo Prawinata See Rio Asikin Rio Rio Juan Hendri Butar-Butar Rokhima, Nur Roni Sanjaya Ryan Charles Wijaya Ryan Syahputra Ryan Syahputra Salama A. Mostafa Samah, Azurah A. Sardius, Sardius Sirait, Andrio Pratama Sirvan Sirvan Sri Tatminingsih Sukabul, Ahmad Suliana Supriati, Amelia Suroyo Suroyo Tavip, Achmad Tommy Tanu Wijaya Wicaksono, Mahfuzan Hadi Wilda Susanti Yacob, Azliza Yuli Astuti Yulianti, Deni Yusnita Rahayu Zetra Hainul Putra Zeva Adi Fianto Zirawani Baharum