Article Per Year (5 Year)
p-Index From 2020 - 2025
0.817
P-Index
This Author published in this journals
All Journal INTEGER: Journal of Information Technology Zeta - Math Journal Jurnal Mnemonic IIJSE Journal of Science and Social Development
hardiansyah, bagus
Unknown Affiliation
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
REKONSTRUKSI CITRA PADA SUPER RESOLUSI MENGGUNAKAN INTERPOLASI BICUBIC hardiansyah, bagus; Armin, Aidil Primasetya; Yunanda, Anton Breva
INTEGER: Journal of Information Technology Vol 4, No 2: September 2019
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2019.v4i2.684

Abstract

Digital image interpolation is important role in the geometric manipulation of a digital image. Interpolation is related to the process of mapping pixels, forward and reverse.Then this research will implementation of the bicubic interpolation method in the image process that is 16 pixel  nearest neighborhood contained in the input image and generated a new pixel value with upscale  and . Tests carried out on the type of RGB and images with BMP format with a variety of different image sizes. Tests with secondary data "Set5" and "Set14" validation results on upscale 3x using the PSNR method and results based on the average value of the secondary data "Set5" 30.40 and "Set14" 27.54 Keywords: Bicubic Interpolation, Super Resolution, PSNR,
CHANGE DETECTION IN ALUMINUM ELECTRODE IMAGE DURING OHMIC HEATING USING PRINCIPAL COMPONENT ANALYSIS Dwi Hartono, Elvianto; Hardiansyah, Bagus; Lastriyanto, Anang; Zubaidah, Elok; Hendrawan, Yusuf
Jurnal Mnemonic Vol 7 No 2 (2024): Mnemonic Vol. 7 No. 2
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v7i2.8426

Abstract

In this paper, we propose a novel technique for unsupervised change detection dataset derived from a process pasteurization using aluminium plate left and right with frequencies 1kHz, 2kHz, 100Hz, 250Hz images using principal component analysis (PCA) and k-means clustering. The distinct image is partitioned into h × h non-overlapping blocks. orthonormal eigenvectors are extracted through PCA of non-overlapping block set to create an eigenvector space. Each pixel within the distinct image is characterized by a feature vector of a certain dimensionality. This feature vector is obtained projection the distinct image data onto the eigenvector space that has been generated. Change detection is accomplished by dividing the feature vector space into two clusters through the application of k-means clustering with k=2. Each pixel is then assigned to one of these two clusters based on the minimum Euclidean distance between the pixel's feature vector and the mean feature vector of the clusters. Empirical results validate the effectiveness of the proposed approach.
The The Influence of Leadership, Organizational Culture, and Compensation on Employee Performance at PT. Siraj Badawi Cukup Rupiah (SBCR) Hardiansyah, Bagus; Maulana, Tedy; Solahudin, Ade; Sunimah, Sunimah
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 1 (2025): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.6954

Abstract

Employee performance is an important factor in the success of the company. Leadership, organizational culture, and compensation are variables that are expected to be explained in this study related to employee performance. Data processing in this study was carried out using SPSS 25, using quantitative methods. Employees of PT Siraj Badawi Cucup Rupiah were selected as the sample through the use of simple random sampling. Participants in this survey were randomly selected from a population of 151 employees; 110 respondents were randomly selected to fill out the questionnaire using the Slovin formula. The results of the study can be concluded if leadership, organizational culture, and compensation have a positive and significant effect on employee performance, and leadership, organizational culture, and compensation together affect employee performance.
Deteksi Kartu Tanda Mahasiswa (KTM) Universitas Islam Negeri (UIN) Walisongo dengan Feature Matching Zulaikha, Zulaikha; Alfarabi, Aries Cahya; Aprilianto, Arief Rezky; Fuadi, Maulana Misbahul; Tafrikan, Mohamad; Hardiansyah, Bagus
Zeta - Math Journal Vol 8 No 1 (2023): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2023.8.1.1-6

Abstract

UIN Walisongo's student identity card (KTM) does not have much function other than just for student identification. Even if the function is increased, it can be used for absenteeism at lectures, borrowing books, or double as an automated teller card (ATM). Doing absences using KTM requires a feature matching method for matching the intended KTM image with the KTM that is searched for in the student database. The feature matching process is based on feature detection in images using various methods such as ORB and Scale Invariant Feature Transform (SIFT). We can perform the feature matching method using the Brute-Force method and the Fast Library Approximated Nearest Neighbor (FLANN) on Google Colab with Python. The results of feature matching on the FLANN method are more than the Brute-Force method. The validation of the two image feature matching was carried out using the Root Mean Square Error (RMSE) method, resulting in an average value of 10.424. The purpose of this article is to detect student ID cards with matching features in the image. The FLANN and Brute-Force feature matching methods can be used to detect KTM UIN in images. Keywords: feature matching, SIFT, FLANN, Brute-Force, RMSE
Elektromedis dalam Pengelolaan Peralatan Elektromedik untuk Pelayanan Kesehatan Kridoyono, Agung; Hartono, Elvianto Dwi; Hardiansyah, Bagus; Yunanda, Anton Breva; Shidqon, Mochamad; Yuwono, Istantyo
Journal of Science and Social Development Vol. 6 No. 2 (2023): Journal of Science and Social Development
Publisher : Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jossd.v6i2.1103

Abstract

This article about community service activities discusses the transformation of the electromedical profession as a response to technological developments in the management of electromedical equipment with the aim of improving the quality of health services. This transformation includes changes in the roles, skills and responsibilities of electromedical professionals to adapt and optimize increasingly complex electromedical equipment. The results of this workshop show that the transformation of the electromedical profession has a positive impact on the management of electromedical equipment and the quality of health services. Electromedical professionals involved in this transformation experience increased competency and effectiveness in caring for, maintaining, and repairing electromedical equipment. Apart from that, the application of the latest technology also allows for more efficient monitoring and management of electromedical equipment. Keywords: Transformation of the electromedical profession, electromedical maintenance, electromedical monitoring
Co-Authors Aidil Primasetya Armin Alfarabi, Aries Cahya Anang Lastriyanto Aprilianto, Arief Rezky Elok Zubaidah Fuadi, Maulana Misbahul Hartono, Elvianto Dwi Istantyo Yuwono, Istantyo Kridoyono, Agung Maulana, Tedy Shidqon, Mochamad Solahudin, Ade Sunimah, Sunimah Tafrikan, Mohamad Yunanda, Anton Breva Yusuf Hendrawan Zulaikha Zulaikha