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All Journal ITEj (Information Technology Engineering Journals) Jurnal Inti Talafa : Jurnal Teknik Informatika Jurnal Digit : Digital of Information Technology Jurnal Rekayasa, Teknologi, dan Sains International Journal of Social Service and Research Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Journal of Community Service (Abdisci) Journal Of Engineering Sciences (Improsci)
Wicaksono, Freddy
Universitas Muhammadiyah Cirebon
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Journal : ITEj (Information Technology Engineering Journals)

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Design and Implementation of Web-Based Helpdesk Information Systems Using Extreme Programming Methods Wicaksono, Freddy; Baswara, Orin Satriani
ITEJ (Information Technology Engineering Journals) Vol 5 No 2 (2020): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v5i2.44

Abstract

Technological developments have become a necessity for job optimization, be it desktop, web or mobile-based software, of course this really supports work with fast, timely completion, without spending a lot of effort and money. The Help Desk is a facilitator for the process of solving operational problems, through communication and interaction networks, internal and external, between the source of the problem (the client) and the potential / problem solving analysis capacity (experts) so that the Asset Management process becomes more effective in improving unit performance. Its operational implementation refers to the principles in the concept of Knowledge Management. Extreme programming is a method that lightens the burden or speeds up the software development process, the characteristics of this method are in accordance with this study which has a small number of team members. This method is flexible so that it can adapt to the changes that customers want. With this the user becomes easier for system development
Course Scheduling Information System Using Genetic Algorithms Wicaksono, Freddy; Putra, Bayu Permana
ITEJ (Information Technology Engineering Journals) Vol 6 No 1 (2021): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v6i1.55

Abstract

University X is a private university which has 8 faculties, namely Economics, Engineering, Social Sciences, Faculty of Social and Political Sciences, Fikes, Law, Islam and Vocational Studies. One of the leading study programs at the University X is the Informatics Engineering Study Program at the Faculty of Engineering which is currently experiencing problems when the process of dividing space and hour schedules is still manual.The problems that arise include the accumulation of lecture hours for a lecturer who takes more than one course. Another problem is the disruption of the lecture process at the beginning of the semester due to the tentative scheduling system. The preparation of lecture schedules at the Faculty of Engineering, University X is still done semi-manually using Microsoft Excel, so it will take several days to make a schedule. Meanwhile, making a schedule must be done quickly and optimally because it is used for lecture activities, the solution that can overcome the above problems is by creating a Course Scheduling Information System Using Genetic Algorithms. The genetic algorithm is one of the most appropriate algorithms used in solving complex optimization problems, which are difficult to do with conventional methods. The nature of genetic algorithms is looking for possibilities from potential solutions to get the optimal for solving problems. The scope of all viable solutions, i.e. the objects between matching solutions, is called the search space. Each point in the search space represents a viable solution. The limitations of the built problem are: This system is operated by the administrative staff of the study program at the Faculty of Engineering, University X. This system is made using the Codeigniter framework, Responsive Bootstrapping (display) and MySQL as the database and the method used by this system is the genetic algorithm method. The final result of this research is that it is helpful and easy to apply as a tool in helping the optimization process of lecture scheduling in order to minimize schedule collisions in lectures at the Faculty of Engineering, University X
Co-Authors Adnyana, I Ketut Widhi Adnyani, Ni Luh Ayu Anggraeni, Ilmiyati Arief Hidayatullah Satya Nugraha Arisandi, Bayu Bastoni Baswara, Orin Satriani Bhakti, M.Herdian Budi Hartono, Mukhamad Dimas Ardiansyah fazhri arif alvinnes Fhrizz S. De Jesus Fitri Dian Perwitasari Lena Magdalena, Lena Lukman Hakim Lutfi Mualiman Marsani Asfi Martinus, Agust Isa Meritorious Autonomous Novianti, Dian Nurul Bahiyah Petrus Sokibi Pratama, Muhamammad Hiqbal Putra, Bayu Permana Rafi Farizki Ridho Taufiq Suwandi Suwandi Triana Ramadani Vo Hung Cuong Widhiani, Pahla Wijaya, Samuel Wiwiek Nurkomala Dewi Yuliananda, Devi