A Hendra
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JURUSAN DI SMK NEGERI 2 PALU MENGGUNAKAN LOGIKA FUZZY DENGAN METODE SUGENO N Afni; Selvy Musdalifah; A Hendra
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 9 No. 1 (2012)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2012.v9.i1.7441

Abstract

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JURUSAN DI SMK NEGERI 2 PALU MENGGUNAKAN LOGIKA FUZZY DENGAN METODE SUGENO
PENENTUAN TINGKAT RESIKO PENYAKIT DIABETES MELLITUS DENGAN METODE SUGENO DI RSUD UNDATA PROVINSI SULAWESI TENGAH Huzaimah Huzaimah; Selvy Musdalifah; A Hendra; I Wayan Sudarsana
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 9 No. 1 (2012)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.106 KB) | DOI: 10.22487/2540766X.2012.v9.i1.7458

Abstract

PENENTUAN TINGKAT RESIKO PENYAKIT DIABETES MELLITUS DENGAN METODE SUGENO DI RSUD UNDATA PROVINSI SULAWESI TENGAH
MENENTUKAN NILAI PRODUKSI INDUSTRI ROTAN CV. BUDI MULYA DENGAN MENGGUNAKAN METODE DEKOMPOSISI LU PADA MODEL EKONOMI LEONTIEF I Werokati; Selvy Musdalifah; A Hendra
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 9 No. 1 (2012)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.941 KB) | DOI: 10.22487/2540766X.2012.v9.i1.7460

Abstract

MENENTUKAN NILAI PRODUKSI INDUSTRI ROTAN CV. BUDI MULYA DENGAN MENGGUNAKAN METODE DEKOMPOSISI LU PADA MODEL EKONOMI LEONTIEF
ENKRIPSI AFFINE CIPHER UNTUK STEGANOGRAFI PADA ANIMASI CITRA GIF Selvy Musdalifah; A Hendra
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 9 No. 1 (2012)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.13 KB) | DOI: 10.22487/2540766X.2012.v9.i1.7462

Abstract

ENKRIPSI AFFINE CIPHER UNTUK STEGANOGRAFI PADA ANIMASI CITRA GIF
Spatial and topology feature extraction on batik pattern recognition: a review A A Kasim; M Bakri; A Hendra; A Septriani
Jurnal Informatika Vol 16, No 1 (2022): January 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jifo.v16i1.a25415

Abstract

Abstract. Batik is an Indonesian cultural heritage that has been recognized by UNESCO as an international cultural heritage on October 2, 2009. Patterns of batik produce geometric shapes unique, the number and name of the batik patterns make it difficult to recognize each motif. The objective classification of batik is split image into classes according to the pattern motif motive so easy to recognize in accordance with its feature. Batik can be classified based on the shape of the motive, namely geometric motifs, geometric motifs and motifs non specific. Spatial information is an important aspect of image processing such as computer vision and recognition structure / pattern in the context of modelling and resolution of the uncertainty caused by the ambiguity in the low-level features. Shortcomings inherent in combining two colours and spatial features are not adaptive pattern recognition process of the region across multiple images and histogram matching is not appropriate to capture the colours on the image content. This study discussed a model of spatial features and feature combinations topology with the aim to improve the validation batik image pattern recognition so that the level of the pattern recognition motif batik image could be better. Some of the features that have been used include colour features and spatial features. In addition, this paper discusses the possibility of combining the features in pattern recognition. This paper proposes a combination of features that will be able to improve the validation of image pattern recognition of batik.