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Journal : Jurnal Software Engineering and Computational Intelligence

APLIKASI PENGENALAN ALAT MUSIK TRADISIONAL SUMATERA SELATAN MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY M. Fadhil Ramadhan Nurbani; Dewi Sartika; Juhaini Alie
Jurnal Software Engineering and Computational Intelligence Vol 1 No 1 (2023)
Publisher : Informatics Engineering, Faculty of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jseci.v1i1.3044

Abstract

South Sumatra has several traditional musical instruments in the form of Burdah OKU, Gong, Kolintang, Flute, Gambus, Trumpet, Weaving, Genggong, Tambourine, Kenong Basemah. In this research, an application for recognizing traditional South Sumatran musical instruments has been designed and implemented by utilizing Augmented Reality technology. Augmented Reality is a combination of real objects and virtual objects that run interactively in real time. With the existence of technology in the form of Augmented Reality, it will facilitate the process of recognizing information and displaying objects of traditional musical instruments in South Sumatra. This research aims to help reintroduce residents to increase their knowledge of traditional musical instruments in South Sumatra. The software development method used to design and implement traditional musical instrument recognition applications is the Rational Unified Process method. Application testing is carried out using black-box testing and user testing. User testing was carried out by distributing questionnaires at Madrasah Ibtidaiyah Marfu'ah to grade 5 students. User satisfaction testing was calculated using a Likert scale and the results of the questionnaire questions obtained had a final score of 91% which was included in the strongly agree category
Penjadwalan Mata Pelajaran Menggunakan Algoritma Particle Swarm Optimization (PSO) Pada SMPIT Mufidatul Ilmi Muhammad Muhardeny; Muhammad Haviz Irfani; Juhaini Alie
Jurnal Software Engineering and Computational Intelligence Vol 1 No 1 (2023)
Publisher : Informatics Engineering, Faculty of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jseci.v1i1.3047

Abstract

Scheduling has a division of time based on a work sequence arrangement plan in the form of a list or table of activities or an activity plan with a detailed division of implementation time which is very necessary in carrying out institutional/company business processes. It is important to note the complexity of the process in scheduling appropriate subjects from various perspectives, both teachers, students and classrooms. Provision of teacher teaching schedules based on abilities in the field of subjects, suitable time each semester is very important to consider for very complex schedule arrangements, the number of classrooms that can be used in teaching activities is relatively small, and preventing teacher teaching conflicts so that the need for optimization of eye scheduling lesson to be made. Furthermore, at the stage of application development using the Waterfall method. The purpose of this research is to build a lesson scheduling application at SMPIT Mufidatul Ilmi by applying the particle swarm optimization (PSO) algorithm to compile lesson schedules. Particle Swarm Optimization is a population-based algorithm that exploits individuals in search. In PSO the population is called a swarm and individuals are called particles. Each particle moves at a speed adapted from the search area and stores it as the best position ever achieved. Design analysis includes Use Case Diagrams, Activity Diagrams, Class Diagrams, Sequence Diagrams, Entity Relationship Diagrams (ERD). The results of this study provide several primary data (service) features, especially features to provide scheduling results from processing with the PSO algorithm
Co-Authors Ahmad Rapiudinsyah Ahmad Sanmorino Akbar , M. Alif Aldi, Muhammad Rahmad Ali, Marzuki Amrina Rosyada Anggi Prissilia Ariati, Nining Aris Munandar Bekti Setiadi Callistasari, Nidia Putri Delvi Rahma Novianti Deninta, Dinda Dwi Dewi Agnesia Dwi Fury Maulina Dwi Utami, Della Edi Susanto Endah Dewi Purnamasari Fidya Nur Syabitha Fitriani Fitriani Ghina, Aliah Godlyfe Smarthene Ryck Hawai Halima Eka Diansari Hamid Halin Irawan Irawan Jefirstson Richset Riwu Kore Jefirstson Richset Riwukore Jefirstson Richset Riwukore Jimmi Oscar John Roni Coyanda Jurlinda Jurlinda Krisman B Riwu Kore Linda Linda Luis Marnisah Luis Marnisah Luis Marnisah Luis Marnisah Riwukore M. Fadhil Ramadhan Nurbani M. Hafis Erlangga Manafe, Graendy Zimrat Marnisah, Luis Megat Norulazmi Megat Mohamed Noor Meilin Veronica Meilin Veronica Meilin Veronika Mgs. Prima Darma Muh Febrianto Ello Saputra Muhammad Haviz Irfani Muhammad Kurniawan DP Muhammad Muhardeny Muhammad Raffy Anugra Alsha Nabila Hasanah Nadinta Ardianty Nazori Suhandi Pratiwi , Imanda Ajeng Prima Darma Putra Putri Tsabita Putri, Melia Sari Onika raudatul jannah Recja Fahlevie Rendra Gustriansyah Riwu Kore, Firda R Riwu Kore, Jefirstson R Romadlona, Ariatna Roswaty Roswaty Roswaty Rudi Heriansyah Russela Russela Sabina, Veni Allya Sandys Vena Ade Putri Hattu Sartika, Dewi Saskia Maharani Septiana Septiana Shinta Puspasari Siska Wulandari, Siska Siti Komariah Hildayanti Siti Komariah Hildayanti Siti Ulfa Ridayani Sofi Tamara Sukesih, Ade Ayu Suwirya Tjandra Tabrani Tabrani Tampubolon, Miranda Roulina Tiara Yudianita Tien Yustin Tien Yustini Tien Yustini Tien Yustini Tien Yustini, Tien Trevinata bella Tri Maradona Fajar Putra Valentika, Chindhi Putri Wadud, Muhammad Wulanda, Sanza Vittria Yeyen Lestari Yogi Darminto Yogie Ardiwinata Yosef Ekliopas Ishak Rohi