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All Journal Techno.Com: Jurnal Teknologi Informasi EMITTER International Journal of Engineering Technology INOVTEK Polbeng - Seri Informatika Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Teknologi Informasi dan Terapan (J-TIT)
Desi Amirullah, Desi
Politeknik Negeri Bengkalis
Arts Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features Amirullah, Desi; Barakbah, Ali Ridho; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 3, No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songket. Each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources of songket patterns and that philosophy reflects to the beliefs and values of Malay culture. In this research, we propose a system to facilitate an understanding of songket and the philosophy as a way to conserve Songket culture. We propose a system which is able to collect information in image songket motif variations based on feature extraction methods. On each image songket motif variations, we extracted philosophy of rhyme into impressions, and extracting color features of songket images using a histogram 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moment invariants. Then, we created an image search based on impressions, and impressions search based on image. We use techniques of search based on color, shape and aggregation (combination of colors and shapes). The experiment using impression as query : 1) Result based on color, the average value of true 7.3, total score 41.9, 2) Result based on shape, the average value of true 3, total score 16.4, 3) Result based on aggregation, the average value of true 3, total score 17.4. While based using Image Query : 1) Result based on color, the average precision 95%, 2) Result based on shape, average precision 43.3%, 3) Based aggregation, the average precision 73.3%. From our experiments, it can be concluded that the best search system using query impression and query image is based on the color.Keyword : Image Search, Philosophy, impression, Songket, cultural computing, Feature Extraction, Analytical aggregation.
Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features Amirullah, Desi; Barakbah, Ali Ridho; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 3, No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.37

Abstract

The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songket. Each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources of songket patterns and that philosophy reflects to the beliefs and values of Malay culture. In this research, we propose a system to facilitate an understanding of songket and the philosophy as a way to conserve Songket culture. We propose a system which is able to collect information in image songket motif variations based on feature extraction methods. On each image songket motif variations, we extracted philosophy of rhyme into impressions, and extracting color features of songket images using a histogram 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moment invariants. Then, we created an image search based on impressions, and impressions search based on image. We use techniques of search based on color, shape and aggregation (combination of colors and shapes). The experiment using impression as query : 1) Result based on color, the average value of true 7.3, total score 41.9, 2) Result based on shape, the average value of true 3, total score 16.4, 3) Result based on aggregation, the average value of true 3, total score 17.4. While based using Image Query : 1) Result based on color, the average precision 95%, 2) Result based on shape, average precision 43.3%, 3) Based aggregation, the average precision 73.3%. From our experiments, it can be concluded that the best search system using query impression and query image is based on the color.Keyword : Image Search, Philosophy, impression, Songket, cultural computing, Feature Extraction, Analytical aggregation.
SISTEM PEMANTAUAN KONSENTRASI CO KEBAKARAN HUTAN RIAU MENGGUNAKAN TEKNOLOGI WIRELESS SENSOR NETWORK (WSN) DAN INTERNET OF THINGS (IOT) Eko Prayitno; Desi Amirullah
Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v4i2.71

Abstract

The purpose of this research is how to make an air condition monitoring system by considering the concentration value of carbon monoxide in Riau Province. The technology used to support monitoring system of carbon monoxide concentration, using Wireless Sensor Network Technology (WSN) and Internet of Things (IoT). One of the WSN concepts to be used is a combination of several sensors, the only sensors used to detect the level of carbonmonoxide concentration include: carbon monoxide, temperature and humidity sensors. Air condition data derived from the sensor in the form of concentration value of carbon monoxide, temperature and humidity of air sent to server connected to network using IoT technology. Based on the test results it can be concluded that the air condition monitoring system using WSN and IoT technology can be applied in realtime, this can be proven with the data shown in the monitoring tool. the detection of a fire source using a sensor can be done by using a distance between a smoke source (hotspot) and a device 90cm. From the observation result there is difference between sensing data without smoke and using smoke, such as temperature has 60C difference, humidity 20 rh and carbon monoxide about 17ppm
Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features Desi Amirullah; Ali Ridho Barakbah; Achmad Basuki
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.37

Abstract

The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songket. Each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources of songket patterns and that philosophy reflects to the beliefs and values of Malay culture. In this research, we propose a system to facilitate an understanding of songket and the philosophy as a way to conserve Songket culture. We propose a system which is able to collect information in image songket motif variations based on feature extraction methods. On each image songket motif variations, we extracted philosophy of rhyme into impressions, and extracting color features of songket images using a histogram 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moment invariants. Then, we created an image search based on impressions, and impressions search based on image. We use techniques of search based on color, shape and aggregation (combination of colors and shapes). The experiment using impression as query : 1) Result based on color, the average value of true 7.3, total score 41.9, 2) Result based on shape, the average value of true 3, total score 16.4, 3) Result based on aggregation, the average value of true 3, total score 17.4. While based using Image Query : 1) Result based on color, the average precision 95%, 2) Result based on shape, average precision 43.3%, 3) Based aggregation, the average precision 73.3%. From our experiments, it can be concluded that the best search system using query impression and query image is based on the color.Keyword : Image Search, Philosophy, impression, Songket, cultural computing, Feature Extraction, Analytical aggregation.
Auto Forward Messaging Berbasis Android Untuk Pengisian Pulsa Elektronik Muhammad Nurul Hudin; Desi Amirullah; jaroji jaroji
Jurnal Inovtek Polbeng Seri Informatika Vol 2, No 1 (2017)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (846.026 KB) | DOI: 10.35314/isi.v2i1.111

Abstract

Intisari - Perkembangan perangkat mobile smartphone berbasis android dengan berbagai fitur dapat dimanfaatkan pengguna dalam menunjang kegiatan bisnis, salah satunya adalah penjualan pulsa elektronik. Penjualan yang hanya dilakukan pada saat jam kerja dapat membuat hilangnya kesempatan bagi penjual untuk melayani transaksi pengisian pulsa yang di request oleh konsumen ketika pada saat bukan jam kerja penjual. Tujuan penelitian ini adalah membuat aplikasi auto forward messaging berbasis android untuk pengisian pulsa elektronik yang dapat membantu penjual pulsa elektronik dalam melayani request transaksi pengisian pulsa dari konsumen secara otomatis dalam 24 jam per hari. Perancangan aplikasi menggunakan Unified Modelling Language untuk pemodelan, bahasa pemrograman Java dan PHP, database MySQL untuk penyimpanan data dan Eclipse sebagai software editor. Penelitian ini menghasilkan aplikasi auto forward messaging berbasis android yang dapat digunakan oleh penjual untuk membantu dalam melayani request transaksi pengisian pulsa dari konsumen ke nomor tujuan secara otomatis dalam 24 jam per hari. Kata kunci : Auto Forward, Android, Eclipse, Pulsa Elektronik
Sistem Pencarian Semantik Impresi dengan Mekanisme Pembobotan Kombinasi Fitur Warna dan Fitur Bentuk Desi Amirullah
Jurnal Inovtek Polbeng Seri Informatika Vol 3, No 1 (2018)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (904.85 KB) | DOI: 10.35314/isi.v3i1.332

Abstract

Pada saat ini, informasi mengenai makna pada setiap warna dan bentuk motif dalam tenun Songket Melayu Riau sangat terbatas sehingga menyebabkan pengrajin songket kurang mengetahui informasi dan nilai-nilai budaya yang terkandung dalam setiap motif songket. Pengrajin songket diharuskan mengerti pada makna yang terkandung dalam setiap warna dan bentuk motif songket, agar tidak menimbulkan kesalahan dalam mengkombinasikan motif pada kain songket yang dibuat. Pada penelitian ini kami mengusulkan paradigma baru dalam sistem pencarian Impresi motif Songket secara semantik, yaitu menggunakan Kueri gambar yang mengkombinasikan fitur warna dan fitur bentuk dengan menggunakan mekanisme pembobotan fitur warna dan bentuk, hasil pencarian ini menampilkan hasil berupa impresi. Kami menggunakan gambar motif Songket Melayu Riau sebanyak 142 buah, yang mana pada setiap motif songket mengandung impresi yang sudah di ekstraksi sehingga mudah dimengerti oleh masyarakat umum. Gambar Dataset dan kueri di ekstraksi dengan menggunakan metode 3D-Color Vector Quantization (3D-CVQ) untuk ekstraksi fitur warna dan metode Hu Moments Invariant untuk ekstraksi fitur bentuk. Pada eksperimen dengan 3 model pembobotan yang kami lakukan, dapat disimpulkan skor tertinggi sistem pencarian impresi dengan kueri gambar bernilai 7.8 dari total nilai 10 dengan model pembobotan fitur warna 0.75 dan fitur bentuk 0.25
Analisis Deteksi Tepi Citra Dengan Quantum Hadamard Edge Detection (QHED) Lipantri Mashur Gultom; Desi Amirullah
Techno.Com Vol 21, No 4 (2022): November 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i4.6708

Abstract

Fokus penelitian ini pada eksperimen Quantum Hadamard Edge Detection (QHED) untuk pendeteksian tepi suatu gambar dimana jumlah qubit yang digunakan ternyata sangat mempengaruhi waktu pemrosesan CPU. Penelitian ini mengunakan benchmark dataset gambar yaitu contour detection and image segmentation dari Berkeley Computer Vision Group. Jumlah qubit yang digunakan pada penelitian ini yaitu 2, 4, 6, 8, 10 dan 12 qubit, sedangkan jumlah qubit lebih dari 12 tidak dapat diuji karena keterbatasan memori RAM dari perangkat yang ada dalam penelitian ini. Hasil akhir dari penelitian membuktikan bahwa QHED dapat mendeteksi tepi suatu gambar dimana waktu pemrosesan yang paling cepat pada penggunaan 6 qubit sedangkan hasil proses pendeteksian tepi yang terbaik terletak pada penggunaan 2 qubit.
Analisis Citra Perkebunan Kelapa Sawit Dengan Pendekatan Quantum Image Processing Desi Amirullah; Lipantri Mashur Gultom
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 7 No 2 (2022): Journal of Computer Science and Visual Communication Design
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jikdiskomvis.v7i2.677

Abstract

This study focuses on image processing (image processing) in detecting the edges of palm trees from several collections of images/images with several variations of pixel resolution with a quantum image processing approach to produce an accurate analysis so that it can be used for future sustainable research. Quantum Hadamard Edge Detection (QHED) is used to detect the edges of an image where the number of qubits used affects CPU processing time. The number of qubits used in this study was 2, 4, 6, 8, 10, and 12 qubits, while the number of qubits more than 12 could not be tested due to the limited RAM of the devices in this study. The final result of the research proves that QHED can detect the edges of an image where the fastest processing time is on the use of 6 qubits while the best edge detection process results are in the use of 2 qubits. In addition, this study also compares QHED with Canny and Sobel where the comparison between Canny and Sobel's processing time is still faster but the quality of the processing results is still better than QHED.
Co-Authors Achmad Basuki Achmad Basuki Ali Ridho Barakbah Eko Prayitno jaroji jaroji Lipantri Mashur Gultom Muhammad Nurul Hudin