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Atmajaya, Dedy
Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia
Computer Science & IT

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IMPLEMENTASI AUGMENTED REALITY UNTUK PEMBELAJARAN INTERAKTIF Atmajaya, Dedy
ILKOM Jurnal Ilmiah Vol 9, No 2 (2017)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (709.233 KB) | DOI: 10.33096/ilkom.v9i2.143.227-232

Abstract

Pengelompokan Minat Baca Mahasiswa menggunakan Metode K-Means Azis, Widya Safira; Atmajaya, Dedy
ILKOM Jurnal Ilmiah Vol 8, No 2 (2016)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.239 KB)

Abstract

Pengelompokkan minat baca mahasiswa berdasarkan kriteria buku yang dibaca, buku yang dipinjam, dan juga mempertimbangkan jumlah stok buku yang tersedia dapat membantu dalam proses penambahan koleksi buku yang telah ada pada perpustakaan Utsman Bin Affan UMI. Salah satu cara untuk mengelola data tersebut yaitu menggunakan data mining dengan memanfaatkan metode K-Means. Data buku dikelompokkan menjadi 3 cluster yaitu prioritas, dipertimbangkan, dan tidak diprioritaskan dalam perencanaan penambahan koleksi buku. Hasil dari penelitian ini adalah cluster dengan nilai terbesar pada centroid akhir merupakan cluster yang direkomendasikan dalam perencanaan penambahan koleksi buku.
SISTEM INFORMASI PENCARIAN LOKASI PERGURUAN TINGGI DI MAKASSAR Irwan, Irwan; Atmajaya, Dedy
ILKOM Jurnal Ilmiah Vol 10, No 2 (2018)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.79 KB)

Abstract

Universities are generally spread in various locations even though in one province (district or city). This study specializes in universities in the city of Makassar. The college location has information related to spatial and non-spatial data, such as name, address and information related to the college. The problem faced in this study is that not everyone knows about universities in the city of Makassar, especially the location of the college. The method used in this study is the Haversine Formula and Euclidean method. Results of the study using the Haversine Formula method, the measurement of the distance of the closest trajectory to college are smaller or closer than using the Euclidean method. Because the Haversine Formula method ignores the height of hills and depths of valleys on the earths surface.  The purpose of this study is to facilitate in informing the general public who need information from universities in Makassar.
Co-Authors Azis, Widya Safira Muhammad Agus Muljanto