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All Journal Sainteks Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO IJID (International Journal on Informatics for Development) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Edsence: Jurnal Pendidikan Multimedia ScientiCO : Computer Science and Informatics Journal Building of Informatics, Technology and Science Journal of Information Systems and Informatics International Journal of Advances in Data and Information Systems Indonesian Journal of Data and Science Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi International Journal of Artificial Intelligence in Medical Issues ABDIMASTEK

Ika Arfiani

Universitas Ahmad Dahlan

Author-ID : 2989527

Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

Published : 34 Documents Claim Missing Document

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Implementasi SCRUM Pada Pengenalan Aksara Lampung Menggunakan Augmented Reality Arfiani, Ika; Nugraheni, Murien; Sulistyono, Danang
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Lampung Province has 20 Lampung characters and 12 Lampung scripts as characters that need to be preserved. Lampung script learning is currently still using conventional methods so that many students begin to ignore this subject because it feels less interesting and boring. This study aims to build an application that can help users introduce Lampung script in the world of education on smartphones by applying Augmented Reality technology. By applying Marker Based Tracking which is one of the methods used in the development of Augmented Reality technology. This method works by recognizing and identifying patterns on markers to bring up virtual objects into the real environment. The system development uses the waterfall method with the stages of problem identification, initial planning, design and design, implementation, testing, and evaluation. This results in an Augmented Reality application to introduce Lampung script which is equipped with features showing 3D Lampung script, pronunciation of each Lampung script object, script gallery, guide for each menu and 20 Lampung script markers. Which type of smartphone camera can affect the application's ability to see objects at a certain angle to the marker, but is still quite safe at angles between 500 to 1800.

Implementasi Bee Colony Optimization Pada Pemilihan Centroid (Klaster Pusat) Dalam Algoritma K-Means Arfiani, Ika; Yuliansyah, Herman; Suratin, Muhammad Dzikrullah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Clustering is a method that is used to divide the data into several groups of parts. K-means (KM) is an algorithm that is often used in clustering, only just the result of KM often times get stuck in local optima i.e. the optimal solution (both maximum or minimal) on the candidate solution in the nearest neighbor only, not the whole of all existing solutions or what is commonly called the global optima. In this study aims to do improve the cluster determination process on the Kmeans algorithm using the Bee Colony Optimization (BCO) algorithm. BCO is an algorithm that works based on the way the bees search for food , BCO is famous for being able to escape from the local optima trap by recognizing which results are best from a series of optimal results . Combining BCO with KM begins with selecting a source of food early in random and using KM to resolve all the problems of clustering at every step BCO next and keep sources of food best in each iteration. The result of this research is that the BCOKM method has been proven to be able to solve the problem of data sharing, where the BCOKM method is able to form a good cluster, as shown by the resulting fitness value (the lowest value is 1221.53 and the highest value is 1233.28) all of which are better than the fitness value using K-means (1251.42). Likewise in terms of accuracy, where the use of BCOKM all showed better results (83.16%-83.30%) than the use of only K-means (83.09%)

Co-Authors Abdullah Sayfei Nurdin Adityo Permana Wibowo Agus Aan Jiwa Permana Alfian, Mukhsin Apriatna, Sendy Arfiani Nur Khusna Bambang Sugiantoro Cahyadi, Isnan Arif Dwi Normawati, Dwi Edi Faizal Erma Susanti Haidar Luthfi, Abyan Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman I Gede Iwan Sudipa Isnan Arif Cahyadi Jullev Atmadji, Ery Setiyawan Khulfani Hendrawan Lisna Zahrotun Muhamad Fadli Muhammad Dzikrullah Suratin Muhammad Dzikrullah Suratin Muhammad Dzikrullah Suratin, Muhammad Dzikrullah Muhammad Habibi Mukhsin Alfian Murien Nugraheni Murien Nugraheni Nicodemus Mardanus Setiohardjo Nur Rochmah Dyah Pujiastuti Nur Rochmah Dyah Pujiastuti, Nur Rochmah Dyah P utra Rizqa Yasira Probo Prasetyo Radhitya, Made Leo Ramadhan, Imam Rezania Agramanisti Azdy, Rezania Agramanisti Rochmah Dyah Pujiastuti, Nur Siami, M. Ikbal Sulistyono, Danang Sumiyatun Sunia Raharja, I Made Supriyanto Tarigan, Thomas Edyson Tia Purwantias Zain Ahmad Taufik

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