Osvari Arsalan
Universitas Sriwijaya

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Journal : Jurnal Generic

Initial Centroid Determination Using Genetic Algorithm in Data Clustering Rizki Kurniati; Osvari Arsalan; Yulinda Ramadhana
Generic Vol 13 No 1 (2021): Vol 12, No 1 (2021)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Clustering K-Means using random initial determination centroid. Generated random centroids using K-Means trapped in optimum local which results in poor clustering quality. Initial centroids in k-means will examine effect of genetic algorithms are each tested on data with dimension reduction and without dimension reduction. Based on the results of initial centroid testing obtained from genetic algorithms, quality of cluster results increase 54.9% in high dimensional data and 52.4% in data had been carried out for dimensional reduction. This shows that K-Means clustering with initial centroids obtained from genetic algorithm calculations has best cluster with significant results.
Initial Centroid Determination Using Simulated Annealing Algorithm Osvari Arsalan; Rizki Kurniati; Elin Darnela
Generic Vol 13 No 1 (2021): Vol 12, No 1 (2021)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Initial randomly generated centroids are commonly used in k-Means clustering method. Random initial centroids k-Means to be trapped in optimum local solution which results in sub-optimal cluster quality. This study examines Simulated Annealing algorithm in determining initial centroids on k-Means. Each k-Means clustering will be tested on result of reduction and without dimension reduction. Based on the results evaluation of k-Means clustering results with initial centroid Simulated Annealing algorithm improve quality cluster with percentage change value 21.2% in the high dimensional data and 25.1% in the dimension reduction data, this shows that initial centroid calculated Simulated Annealing algorithm is able to obtain the best cluster with significant results.
Implementation of Facial Landmarks Detection Method for Face Follower Mobile Robot Ahmad Zarkasi; Fachrudin Abdau; Agung Juli Anda; Siti Nurmaini; Deris Stiawan; Bhakti Yudho Suprapto; Huda Ubaya; Rizki Kurniati
Generic Vol 14 No 1 (2022): Vol 14, No 1 (2022)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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This paper presents a new technique for facesrecognition based on auto-extracted facial marks. Our landmarks are those related to the outer corner of the nose. With extracted landmarks, a triplet of areas and their associated geometric invariance are formed. Where later the points on the outer corners of the eyes and nose will be connected with lines that will form a triangle. Later the line length will be calculated using the Euclidean Distance formula so that the area value of the triangle can be obtained. Then the data obtained will be trained using the Support Vector Machine algorithm so that they can recognize faces. And later the system will be implanted into a mobile robot with raspberry.
Pemodelan Topik Menggunakan Metode Latent Dirichlet Allocation dan Gibbs Sampling Rizki Ramadandi; Novi Yusliani; Osvari Arsalan; Rizki Kurniati; Rahmat Fadli Isnanto
Generic Vol 14 No 2 (2022): Vol 14, No 2 (2022)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Pemodelan topik adalah suatu alat yang digunakan untuk menemukan topik laten pada sekelompok dokumen. Pada penelitian ini dilakukan pemodelan topik dengan menggunakan metode Latent Dirichlet Allocation dan Gibbs Sampling. Enam artikel berita Bahasa Indonesia telah dikumpulkan dari portal berita detiknews dengan menggunakan metode Web Scrapper. Artikel berita dibagi menjadi dua kategori utama yaitu, narkoba dan COVID-19. Analisis model LDA dilakukan dengan menggunakan metode koherensi topik pengukuran skor UCI dengan hasil penelitian menyebutkan diperoleh lima buah topik optimal pada kedua konfigurasi pengujian.
Aero-Track: Perangkat Lunak Perekam Data Penerbangan Aeronautika Fathan, Muhammad Rifqi; Aditya, Aditya; Afriansyah, Indra Gifari; Yousnaidi, Rani Silvani; Passarela, Rossi; Arsalan, Osvari; Kurniati, Rizki; Vindriani, Marsella
Generic Vol 15 No 1 (2023): Vol 15, No 1 (2023)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v15i1.146

Abstract

Kecelakaan pesawat terbang bisa terjadi pada semua fase penerbangan, Pada tahun 2014, di Indonesia sendiri sudah terjadi kecelakaan penerbangan berjumlah 84 kali. Maka dari itu, kami mengembangkan sebuah perangkat lunak bernama Aero-Track untuk merekam data penerbangan dengan kriteria spesifik mengenai area dan dan fase penerbangan. Perangkat lunak ini sudah diuji coba dengan merekam data penerbangan pada bandara Sultan Syarif Kasim II, bandara Sultan Mahmud Badaruddin II dan Bandara Sultan Hasanuddin. Data dari hasil perekaman tersebut sudah dapat dijadikan bahan analisis terkait pola dan karakteristik penerbangan.