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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Ekono Insentif
Syarief Gerald Prasetya
STIE Binaniaga
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

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The Effect of Using Histogram Equalization and Discrete Cosine Transform on Facial Keypoint Detection Adhi Kusnadi; Lionissa Ratnawati Darmawan; Ivransa Zuhdi Pane; Syarief Gerald Prasetya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2032

Abstract

This study aims to figure out the effect of using Histogram Equalization and Discrete Cosine Transform (DCT) in detecting facial keypoints, which can be applied for 3D facial reconstruction in face recognition. Four combinations of methods comprising of Histogram Equalization, removing low-frequency coefficients using Discrete Cosine Transform (DCT) and using five feature detectors, namely: SURF, Minimum Eigenvalue, Harris-Stephens, FAST, and BRISK were used for test. Data that were used for test were obtained from Head Pose Image and ORL Databases. The result from the test were evaluated using F-score. The highest F-score for Head Pose Image Dataset is 0.140 and achieved through the combination of DCT & Histogram Equalization with feature detector SURF. The highest F-score for ORL Database is 0.33 and achieved through the combination of DCT & Histogram Equalization with feature detector BRISK.
Image Restoration Effect on DCT High Frequency Removal and Wiener Algorithm for Detecting Facial Key Points Adhi Kusnadi; Vincent Anderson Ngadiman; Ivransa Zuhdi Pane; Syarief Gerald Prasetya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2033

Abstract

This study aims to figure out the effect of using Histogram Equalization and Discrete Cosine Transform (DCT) in detecting facial keypoints, which can be applied for 3D facial reconstruction in face recognition. Four combinations of methods comprising of Histogram Equalization, removing low-frequency coefficients using Discrete Cosine Transform (DCT) and using five feature detectors, namely: SURF, Minimum Eigenvalue, Harris-Stephens, FAST, and BRISK were used for test. Data that were used for test were obtained from Head Pose Image and ORL Databases. The result from the test were evaluated using F-score. The highest F-score for Head Pose Image Dataset is 0.140 and achieved through the combination of DCT & Histogram Equalization with feature detector SURF. The highest F-score for ORL Database is 0.33 and achieved through the combination of DCT & Histogram Equalization with feature detector BRISK.
FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PEDAGANG SAYUR KELILING DI KOTA BOGOR Yustiana Wardhani; Syarief Gerald Prasetya; Dimas Ari Dharmantyo
Ekono Insentif Vol 14 No 1 (2020): Ekono Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.792 KB) | DOI: 10.36787/jei.v14i1.210

Abstract

Abstrak - Tujuan penelitian adalah mengkaji hubungan tingkat pendapatan dengan jam kerja dan mengetahui pengaruh umur, masa kerja dan jumlah tanggungan keluarga terhadap jam kerja. Metode penelitian yang digunakan adalah metode survey , objek dalam penelitian ini pedagang sayur keliling dengan jumlah sampel 60 orang. Teknik analisis data tabulasi silang. Berdasarkan hasil penelitian ditemukan bahwa jam kerja memiliki hubungan positif signifikan dengan pendapatan kotor dan pendapatan bersih pedagang sayur keliling. Kemudian diperoleh pula bahwa usia, masa kerja dan tanggungan keluarga berpengaruh signifikan terhadap jam kerja pedagang sayur keliling. Saran yang peneliti berikan antara lain sebaiknya pedagang sayur keliling dapat memanfaatkan waktu kerja seefektif mungkin, perlunya Pemerintah Daerah Kota Bogor mengambil kebijakan yang berkaitan dengan peningkatan kesejahteraan pedagang sayur keliling dan perlunya melakukan penelitian yang lebih mendalam lagi tentang faktor-faktor yang mempengaruhi pendapatan dan jam kerja. Abstract - The purpose of this study was to examine the relationship between the level of income and the hours of traveling vegetable traders and the influence of age, years of service and the number of family dependents on the hours of traveling vegetable traders. The research method used was a survey method with cross tabulation data analysis techniques. Based on the results of the study found that working hours have a significant positive relationship with gross income and net income of traveling vegetable traders. Then it was also found that age, years of service and family dependents significantly affected the hours of the traveling vegetable traders. Suggestions given by researchers include among others that itinerant vegetable traders can utilize work time as effectively as possible, the need for the Bogor City Government to adopt policies related to improving the welfare of mobile vegetable traders and the need to conduct more in-depth research on the factors that affect income and working hours.
Co-Authors Adhi Kusnadi Dimas Ari Dharmantyo Ivransa Zuhdi Pane Lionissa Ratnawati Darmawan Vincent Anderson Ngadiman Yustiana Wardhani