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OPTIMASI PENJADWALAN PERKULIAHAN MENGGUNAKAN METODEAUTO GENERATE TIMETABLE DENGAN ARRAY Hani Dewi Ariessanti; Dwi Sloria Suharti; Ary Budi Warsito
CCIT Journal Vol 11 No 2 (2018): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.401 KB) | DOI: 10.33050/ccit.v11i2.593

Abstract

Scheduling is one of the many problems that has been done in research for many years. Problems preparing the schedule in college are about college scheduling. The timing process should be done for each semester, which is a tiring and time-consuming task. The overall allocation of events in timeslots and spaces is done by the course scheduling process by considering the list of hard constraints and soft constraints, so there is no conflict created in allocating the schedule. Therefore, it is necessary to create a lecture scheduling application that is able to facilitate and overcome the problems in organizing the lecture schedule. The proposed scheduling system design proposed in this study is to optimize the schedule of lectures using the Auto Generate Timetable method with arrays to find the best candidates for college scheduling with the aim of minimizing the conflict and optimizing the scheduling schedule. This method is based on the process of lecturing process that has been conducted in college. Every curriculum, space, day / time, is needed to arrange the schedule of students and lecturers as part of the scheduling variable that is the solution candidate. Then the process of adjusting to constraints has been made with various parameters. The research method is to collect the data, analysis, design, coding, testing and up to the maintenance phase by using the Waterfall System Development Lifecycle method. The waterfall model provides a life-cycle approach to the development of software systems in sequential or sequential form. So with the existence of this application, it is hoped that the arrangement of lectures will not find problems as a constraint in arranging the lecture schedule
DIGITAL LIBRARY MODELLING: SUPPORTING FOR KNOWLEDGE MANAGEMENT Henderi Henderi; Ary Budi Warsito; Ahmad Sidik; Maimunah Maimunah
CCIT Journal Vol 3 No 3 (2010): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7268.946 KB) | DOI: 10.33050/ccit.v3i3.668

Abstract

Peningkatan kebutuhan masyarakat terhadap informasi yang semakin tinggi membuat eksistensi perpustakaan semakin penting. Selain merupakan sumber informasi dan referensi berbagai jenis ilmu pengetahuan, perpustakaan juga memiliki peran strategis pengembangan ilmu pengetahuan. Pada sisi lain, hasil penelitian menunjukan bahwa sebagian perpustakaan belum memar faatkan information technology (17) secara optimal dalam pengolahan pengetahuan. Akibatnya informasi dan referensi yang dimiliki perpustakaan tidak mudah diperoleh oleh publik untuk dikembangkan. Untuk itu, artikel ini membahas digital library modelling untuk mendukung penerapan model knowledge management, dan mempermudah perolehan ir formasi dan pengembangan ilmu pengetahuan dari perpustakaan. Digital library modelling dibuat menggunakan pendekatan unifield modelling language (UML), dan digambarkan dalam bentuk: use case diagram, class diagram, state diagram, collaboration diagram, component diagram, dan screen prototype. Hasil implementasi digital library juga dibahas secara ringkas untuk memberikan gambaran lebih jelas.
Rancang Bangun Aplikasi Penjualan PT. Sinar Kencana Jaya Abadi Berbasis Web Patrick Lay; Ary Budi Warsito
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 4 No. 1 (2024): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v4i1.2840

Abstract

PT. Sinar Kencana Jaya Abadi is a company engaged in sanitary sector since 1995. With advances in technology, of course, marketing is not only in physical form, but also in digital forms, such as websites. Created a useful website to increase sales. The website was created so that people can find out more about what field this PT is engaged in, as well as the background of this PT. Sinar Kencana Jaya Abadi. This website was developed using the CodeIgniter framework, and the use of MySQL as a database. This research is useful for introducing PT Sinar Kencana Jaya Abadi to various external customers, so that it can be easier to find out what is being traded. The results of the study found that the application system functions properly and properly so that the application system can be checked out and stored shipping data into a database.
Penerapan Algoritma K-Means Untuk Clustering Big Five Personality Patrick Lay; Ary Budi Warsito
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 1 (2024): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i1.3288

Abstract

Personality is the combination of characteristics or qualities that form an individual’s distinctive character. Every individual on earth has different personalities depending on their biological and environmental factors. To find out about one’s personality, we can take a personality test which is a tool or method used to assess human personality. One of the most popular approaches to personality nowadays is the Big Five theory of personality, where this theory suggests that human personality is composed of five basic traits: Openness, Conscientiousness, Extroversion, Agreeableness and Neuroticism. While doing research, we found how some people tend not to have knowledge about their personality types. Therefore, we started this research with the aim of determining the user's personality, strengths and weaknesses of their personality in order to help them develop and improve themselves. This research used the PCA method and K-Means algorithm to aid in the clustering process.
Media Pembelajaran Kimia Berbasis AR Marco Suteja; Ary Budi Warsito
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i3.157

Abstract

The integration of augmented reality (AR) technology in education is advancing, as seen in a project at Atisa Dipamkara School. This project developed a chemistry learning application using Unity, Android XR Plugin, and ARCore to address laboratory limitations. The app uses interactive 3D visualizations to help students grasp complex chemistry concepts. Blackbox testing showed that all main modules work well, except for a bug in the compound reset module. The app effectively improves students' understanding, interest, and motivation in chemistry, making abstract concepts more tangible. This application is both a learning aid and an educational innovation, promoting a more interactive and enjoyable learning experience.