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IMPLEMENTASI AUGMENTED REALITY PADA PERMAINAN BATU-KERTAS-GUNTING DENGAN METODE N-GRAM BERBASIS MOBILE ANDROID Suwandy, Suwandy; Arifin, Zainal; Cahyadi, Dedy
Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Vol 2, No 2 (2017): Vol 2, No 2 (2017): Prosiding Seminar Nasional Ilmu Komputer dan Teknologi Infor
Publisher : Mulawarman University

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Abstract

Teknologi Augmented Reality merupakan sebuah teknologi visualisasi objek yang menggabungkan objekdunia virtual ke dalam tampilan dunia secara realtime. Implementasi teknologi Augmented Reality pada videogames bertujuan memberikan pengalaman berbeda kepada pengguna karena tampilan yang lebih interaktif.Vuforia SDK dan Unity3D sebagai aplikasi pendukung untuk mengembangkan aplikasi Augmented realitydengan dukungan ke berbagai perangkat mobile salah satunya berbasis android. N-Gram adalah metode yangdigunakan untuk memprediksi elemen berurutan yang selanjutnya akan muncul. Teknik N-Gram pada games iniditujukan sebagai action prediction, probabilitas karakter yang akan muncul kemudian berdasarkan urutankarakter yang sebelumnya telah dipilih. Pada penelitian ini telah dibangun aplikasi permainan Batu-Kertas-Gunting dengan prediksi NPC menggunakan metode N-Gram sebagai implementasi pemanfaatan teknologiAugmented Reality berbasis mobile Android.
PENGARUH ECONOMIC VALUE ADDED (EVA), RETURN ON ASSET (ROA) DAN TOTAL ARUS KAS TERHADAP PRICE BOOK VALUE (PBV) PADA PERUSAHAAN PROPERTY, REAL ESTATE DAN KONSTRUKSI YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2011-2016 Jasmine, Jasmine; Rukmana Sari, Ike; Govandy Lie Jaya, Leo; Suwandy, Suwandy
Aksara Public Vol 2 No 4 (2018): Desember (2018)
Publisher : EDUTECH CONSULTANT

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Abstract

Researcher used quantitative research approach. The kind of this study is causality relationship and explanation. Population of the study consist of 65 Property, Real Estate and construction companies on registered at Indonesia stock exchange (BEI). Sampling of this study were amount 186 of financial statement come from Property, Real Estate and Construction companies registered at Indonesia Stock Exchange on the year of 2011-2016. Colleting data technique is documentation study. Analysis uses multiple linear programming model. The study result’s shows that Economic Value Added (EVA) partially no effect and not significant to Price Book Value (PBV) on property, real estate and construction companies registered at Indonesia Stock Exchange (BEI) on the year 2011-2016. Return on Asset (ROA) partially effects and significant to Price Book Value (PBV) on property, real estate and construction companies registerd at Indonesia Stock Exchange (BEI) on the year tahun 2011-2016. Total Cash Flow partially effects and significant to Price Book Value (PBV) on property, real estate and construction companies registered on Indonesia Stock Exchange (BEI) on the year 2011-2016. Economic Value Added (EVA), Return on Asset (ROA) and total cash flow simultaneously effects and significant to Price Book Value (PBV) on property, real estate and construction companies registered at Indonesia Stock Exchange (BEI) on the year 2011-2016.
KAJIAN TENTANG PERANCANGAN ALAT DAN SISTEM AUTO FOKUS CITRA DENGAN METODE CONTRAST MEASURE Suwandy Suwandy
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v2i1.3188

Abstract

Tools and application programs that created is a tool that is integrated with the microscope to capture images of blood cells automatically and calculate the focus of the image automatically with Contrast Measure method and an application to detect and do a recognition in the white blood cells. Images taken from a single slide preparation can be the image of red blood cells and white blood cells. To distinguish red blood cells and white blood cells detection is carried out based on pixel image . The recognition is done by calculating characteristic values with the co-occurrence matrix. Based on the results of testing auto focus system is able to run properly to determine whether focus or not the image with successfull percentage  at 100%. While the recognition of the red blood cells are less goes well with the biggest successfull percentage at 81.96%.. Key wordsAlat Bantu, auto fokus, Contrast Measure, co-occurrence matrix, Sel Darah, Sel Darah Putih, Sel Darah Merah.