Garuda - Garba Rujukan Digital

Face Recognition based on CNN 2D-3D Reconstruction using Shape and Texture Vectors Combining Edy Winarno; Imam Husni Al Amin; Sri Hartati; Prajanto Wahyu Adi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 2: June 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i2.1369

This study proposes a face recognition model using a combination of shape and texture vectors that are used to produce new face images on 2D-3D reconstruction images. The reconstruction process to produce 3D face images is carried out using the convolutional neural network (CNN) method on 2D face images. Merging shapes and textures vector is used to produce correlation points on new face images that have similarities to the initial image used. Principal Component Analysis (PCA) is used as a feature extraction method, for the classification method we use the Mahalanobis method. The results of the tests can produce a better recognition rate compared to face recognition testing using 2D images.

Robust Watermarking through Dual Band IWT and Chinese Remainder Theorem Prajanto Wahyu Adi; Farah Zakiyah Rahmanti; Edy Winarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

CRT was a widely used algorithm in the development of watermarking methods. The algorithm produced good image quality but it had low robustness against compression and filtering. This paper proposed a new watermarking scheme through dual band IWT to improve the robustness and preserving the image quality. The high frequency sub band was used to index the embedding location on the low frequency sub band. In robustness test, the CRT method resulted average NC value of 0.7129, 0.4846, and 0.6768 while the proposed method had higher NC value of 0.7902, 0.7473, and 0.8163 in corresponding Gaussian filter, JPEG, and JPEG2000 compression test. Meanwhile the both CRT and proposed method had similar average SSIM value of 0.9979 and 0.9960 respectively in term of image quality. The result showed that the proposed method was able to improve the robustness and maintaining the image quality.

Interpretive Structural Modelling Untuk Meningkatkan Daya Saing Rantai Pasok UKM Mina Indo Sejahtera Pramudi Arsiwi; Prajanto Wahyu Adi
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 14, No 1 (2020): Jurnal PASTI
Publisher : Universitas Mercu Buana

Meningkatnya potensi pasar pangan organik yang diikuti dengan pertumbuhan pasar organik di Indonesia, menyebabkan persaingan yang sangat tinggi antar para pelaku usaha pangan organik. Oleh karena itu, diperlukan suatu pengembangan strategi rantai pasok, agar dapat tercipta keunggulan kompetitif bagi UKM. Metode yang digunakan dalam penelitian ini adalah Interpretive Structural Modelling (ISM), untuk membangun keterkaitan antar variabel rantai pasokan. Penelitian ini telah berhasil mengidentifikasi delapan variabel yang menjadi kunci sukses daya saing rantai pasok UKM Mina Indo Sejahtera. Model ISM tersebut menunjukkan bahwa variabel yang berpengaruh paling signifikan adalah penentuan jumlah dan lokasi reseller sesuai potensi market. Sedangkan yang menduduki level puncak model ISM dan harus menjadi fokus perhatian bagi manajemen UKM, yaitu keterlibatan reseller dalam memaksimalkan pemasaran digital serta koordinasi dan komunikasi yang efektif diantara mitra rantai pasokan. Model ISM yang dihasilkan dapat menjadi panduan bagi pemilik UKM untuk memutuskan strategi yang harus digunakan untuk memaksimalkan pencapaian pada variabel terpenting.

Robust Watermarking through Dual Band IWT and Chinese Remainder Theorem Prajanto Wahyu Adi; Farah Zakiyah Rahmanti; Edy Winarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v7i4.690

CRT was a widely used algorithm in the development of watermarking methods. The algorithm produced good image quality but it had low robustness against compression and filtering. This paper proposed a new watermarking scheme through dual band IWT to improve the robustness and preserving the image quality. The high frequency sub band was used to index the embedding location on the low frequency sub band. In robustness test, the CRT method resulted average NC value of 0.7129, 0.4846, and 0.6768 while the proposed method had higher NC value of 0.7902, 0.7473, and 0.8163 in corresponding Gaussian filter, JPEG, and JPEG2000 compression test. Meanwhile the both CRT and proposed method had similar average SSIM value of 0.9979 and 0.9960 respectively in term of image quality. The result showed that the proposed method was able to improve the robustness and maintaining the image quality.

Feature Image Watermarking Based on Bicubic Interpolation of Wavelet Coefficients Using CRT Prajanto Wahyu Adi; Yani Parti Astuti; Egia Rosi Subhiyakto
CommIT (Communication and Information Technology) Journal Vol. 11 No. 2 (2017): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i2.3870

The main objective of watermarking method is to improve the robustness and imperceptibility. This paper introduces an improved CRT watermarking method using absolute value of interpolated wavelet coefficients aiming to improve the imperceptibility and robustness. The standard CRT method embeds the watermark bits on the blocks of pixels evenly. Hence, it can significantly reduce the quality of watermarked images when the watermark lies on the homogeneous area. Otherwise, the proposed method is embedding the watermark bits on the heterogeneous area by sorting the absolute magnitude of wavelet coefficients descending. The waveletcoefficients are selected from high frequency wavelet sub band HH. This scheme is able to determine the appropriate embedding location in certain range of value. The watermark bits are then embedding on the selectedpixel value using CRT scheme. The result shows that the average imperceptibility value the CRT is 0.9980 while the proposed method has average value of 0.9993. On robustness against compression, the proposed method achieves better result compared to the CRT with the average NC values of 0.7916 higher than the CRT value of 0.7530. These prove that the proposed method has better performance in term of imperceptibility and robustness against compression than the CRT method.

Plasmodium Falciparum Identification in Thick Blood Preparations Using GLCM and Support Vector Machine (SVM) Farah Zakiyah Rahmanti; Novita Kurnia Ningrum; Septian Enggar Sukmana; Prajanto Wahyu Adi
Journal of Applied Intelligent System Vol 2, No 1 (2017): April 2017
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v2i1.1388

Malaria is one of the serious diseases that require rapid handling, otherwise it can lead to death. One of the causes of malaria parasites is plasmodium falciparum which can cause severe or fatal malaria. Handling a medical late can increase the risk of death. Therefore, it takes a rapid identification system with a high percentage of accuracy to reduce the risk of death. This research aims to build an identification system of plasmodium falciparum in thick blood film using Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM). The GLCM is used to get texture feature values such as contrast, correlations, energy, and homogeneity from images. Those values is processed and as an input of classification using SVM. The research result using SVM for accuracy value ofÂ plasmodium falciparum identification can reach 93.33%.

Pengembangan Modul Klasifikasi Apel Envy dan Pasific Rose Menggunakan Jaringan Saraf Tiruan (JST) Farah Zakiyah Rahmanti; Prajanto Wahyu Adi; Ion Ataka; Septian Enggar Sukmana
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5 No 2: Juli 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

The variety of apple has similarity with each other, therefore it makes human visual perception difficult to differentiate some of them. The conventional way is often carried out human vision subjective perception, this way makes classification result becomes less. Apple classification using information technology is one step to classify apple more accurate and to help human in apple plantations processing. The goal of this research is developing classification stage on envy and pasific rose apple. The major goal is to classify envy and pacific rose apple using Artificial Neural Network (ANN). Doing feature extraction of training and testing apple images aims that images can be recognized as envy or pasific rose. The way of getting feature extraction is using statistical approach of RGB color histogram from an image. The feature extraction values of RGB color histogram of apple images are intensity, standard deviation, skewness, energy, entropy, and smoothness. Then, those values as an input of classification step using ANN feed-forward backpropagation. The results of this research are consists of three scenario of experiment, first skenario is using 50 training data 10 testing data, it has accuracy value 80%. Second scenario is using 70 training data 10 testing data, it also has accuracy value 80%. Third scenario is using 90 training data 10 testing data, it has accuracy value 90%. This experiment result shows that the highest accuracy value is in third scenario.Keywords : Apple, Feature extraction, Artificial neural network, BackpropagationAbstrak — Jenis apel yang beragam dan beberapa diantaranya memiliki kemiripan membuat persepsi pandang manusia sulit membedakan jenis-jenis apel tertentu. Cara konvensional yang sering dilakukan adalah penilaian subyektif dari persepsi pandang manusia. Penilaian subyektif tersebut bisa menghasilkan pengelompokan jenis apel yang kurang tepat. Teknik pengenalan jenis apel berbasis teknologi informasi menjadi salah satu langkah untuk membantu pengelompokan jenis apel supaya lebih tepat dan akurat serta lebih meringankan tugas manusia pada bidang pengolahan hasil perkebunan apel. Penelitian ini bertujuan untuk mengembangkan tahapan klasifikasi apel envy dan pasific rose. Tujuan utamanya adalah mengklasifikasi buah apel jenis envy dan pasific rose dengan menggunakan Jaringan Saraf Tiruan (JST) atau sering disebut dengan Artificial Neural Network (ANN). Citra apel terlebih dahulu dilakukan ekstraksi fitur yang unik dari citra latih dan citra uji, agar citra tersebut dapat dikenali. Salah satu cara ekstraksi fitur adalah dengan menggunakan pendekatan statistik dari histogram warna RGB sebuah citra. Nilai-nilai yang bisa diambil dari histogram warna RGB citra apel adalah nilai rerata intensitas, standar deviasi, skewness, energi, entropi, dan smoothnes. Kemudian nilai-nilai tersebut sebagai nilai masukan untuk tahapan klasifikasi menggunakan JST feed-forward backpropagation. Hasil pengujian dibagi menjadi tiga skenario, pertama dengan data latih 50 data uji 10 memiliki nilai akurasi sebesar 80%. Skenario pengujian kedua dengan data latih 70 data uji 10 memiliki nilai akurasi sebesar 80%. Skenario pengujian ketiga dengan data latih 90 data uji 10 memiliki akurasi sebesar 90%. Hasil pengujian tersebut menunjukan bahwa nilai akurasi tertinggi terletak pada pengujian ketiga.Kata Kunci : Apel, Ekstraksi fitur, Jaringan saraf tiruan, Backpropagation

Robust Watermarking through Dual Band IWT and Chinese Remainder Theorem Prajanto Wahyu Adi; Farah Zakiyah Rahmanti; Edy Winarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

CRT was a widely used algorithm in the development of watermarking methods. The algorithm produced good image quality but it had low robustness against compression and filtering. This paper proposed a new watermarking scheme through dual band IWT to improve the robustness and preserving the image quality. The high frequency sub band was used to index the embedding location on the low frequency sub band. In robustness test, the CRT method resulted average NC value of 0.7129, 0.4846, and 0.6768 while the proposed method had higher NC value of 0.7902, 0.7473, and 0.8163 in corresponding Gaussian filter, JPEG, and JPEG2000 compression test. Meanwhile the both CRT and proposed method had similar average SSIM value of 0.9979 and 0.9960 respectively in term of image quality. The result showed that the proposed method was able to improve the robustness and maintaining the image quality.

Imperceptible Image Watermarking based on Chinese Remainder Theorem over the Edges Prajanto Wahyu Adi; Yani Parti Astuti; Egia Rosi Subhiyakto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper introduced a watermarking method using the CRT and Canny Algorithm that able to improve the imperceptibility of watermarked image and preserving the robustness of watermark image as well. The classical CRT algorithm is spread the watermark bits evenly on the image area. It causes significant degradation when the embedding location lies on the least significant region or in the homogeny area. Otherwise, the proposed method embeds the watermark on the edges of the image which have significant difference value to maintain the imperceptibility. The Canny algorithm is used to indexing the embedding location based on the filtering output of host image. The watermark is then embedded into the host image using pair-wise coprime integers of 6 and 11 within the CRT modulo. The results show that the proposed method has significant improvement in the quality of watermarked image with the average value of 0.9995 compared to the CRT method which results in value of 0.9985. In compression and additive noise attacks the CRT has average values of 0.6618 and 0.9750, while the proposed method results in similar values of 0.6616 and 0.9752 respectively. These prove that the proposed method is able to preserve the robustness while improving the imperceptibility.

Pendampingan Eskalasi Bisnis UKM Mina Indo Sejahtera Melalui Diversifikasi dan Nilai Tambah Produk Olahan Lele Sehat Pramudi Arsiwi; Prajanto Wahyu Adi; Dony Satriyo Nugroho; Probo Kusumo
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 3, No 2 (2020): Mei 2020
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v3i2.90

Kesehatan pribadi menjadi isu nomor satu dalam prioritas hidup 73% masyarakat Indonesia. Hal ini tentunya merupakan sebuah peluang bagi UKM Mina Indo Sejahtera untuk melakukan eskalasi bisnis terkait dengan produk olahan pangan berbahan dasar lele organik sehat non – antibiotik, dan mengambil ceruk pasar tersebut sebagai segmen pasar untuk produknya. Karena segmen pasar yang dituju merupakan segmen khusus, maka diperlukan pula sebuah produk yang berkualitas baik serta strategi pemasaran yang sesuai dengan karakter ceruk pasar tersebut. Pelaksanaan pengabdian ini dilakukan dengan melakukan pendampingan terhadap UKM Mina Indo Sejahtera, untuk menjalankan eskalasi bisnis melalui diversifikasi produk yang berupa Nugget Lele sehat non – antibiotik. Kegiatan dimulai dengan perencanaan bahan dan alat yang digunakan untuk menunjang produk olahan Nugget Lele sehat non – antibiotik, yang terdiri dari alat pendukung kegiatan produksi dan desain packaging serta labeling. Kemudian dilakukan uji coba produksi Nugget Lele dengan alat dan bahan tersebut, termasuk juga dilakukan tes lab untuk menguji kandungan cemaran kimia pada bahan baku lele, demi memenuni uji standar pangan. Selain itu, diberikan juga pendampingan terkait dengan strategi pemasaran yang efektif, dengan penggunaan Search Engine Optimisation sebagai pendukung, yang juga dapat menjadi nilai tambah produk dan dapat mendukung kesuksesan rencana eskalasi bisnis UKM tersebut.

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