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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics CommIT (Communication & Information Technology) Journal of Information Systems Engineering and Business Intelligence Indonesian Journal on Computing (Indo-JC) Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Information System Jurnal Informatika International Journal of Health Science and Technology Jurnal INFOTEL

Djoko Budiyanto Setyohadi

Universitas Atma Jaya Yogyakarta

Author-ID : 2374491

Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

Published : 14 Documents Claim Missing Document

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Articles

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Galvanic Skin Response Data Classification for Emotion Detection Djoko Budiyanto Setyohadi; Sri Kusrohmaniah; Sebastian Bagya Gunawan; Pranowo Pranowo; Anton Satria Prabuwono
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Emotion detection is a very exhausting job and needs a complicated process; moreover, these processes also require the proper data training and appropriate algorithm. The process involves the experimental research in psychological experiment and classification methods. This paper describes a method on detection emotion using Galvanic Skin Response (GSR) data. We used the Positive and Negative Affect Schedule (PANAS) method to get a good data training. Furthermore, Support Vector Machine and a correct preprocessing are performed to classify the GSR data. To validate the proposed approach, Receiver Operating Characteristic (ROC) curve, and accuracy measurement are used. Our method shows that the accuracy is about 75.65% while ROC is about 0.8019. It means that the emotion detection can be done satisfactorily and well performed.

Numerical simulation of electromagnetic radiation using high-order discontinuous galerkin time domain method Pranowo Pranowo; Djoko Budiyanto Setyohadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019
Publisher : Institute of Advanced Engineering and Science

In this paper, we propose the simulation of 2-dimensional electromagnetic wave radiation using high-order discontinuous Galerkin time domain method to solve Maxwell's equations. The domains are discretized into unstructured straight-sided triangle elements that allow enhanced flexibility when dealing with complex geometries. The electric and magnetic fields are expanded into a high-order polynomial spectral approximation over each triangle element. The field conservation between the elements is enforced using central difference flux calculation at element interfaces. Perfectly matched layer (PML) boundary condition is used to absorb the waves that leave the domain. The comparison of numerical calculations is performed by the graphical displays and numerical data of radiation phenomenon and presented particularly with the results of the FDTD method. Finally, our simulations show that the proposed method can handle simulation of electromagnetic radiation with complex geometries easily.

E-commerce online review for detecting influencing factors users perception Irvan Krisna Arsad; Djoko Budiyanto Setyohadi; Paulus Mudjihartono
Bulletin of Electrical Engineering and Informatics Vol 10, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i6.3182

To date, online shopping using e-commerce services becomes a trend. The emergence of e-commerce truly helps people to shop more effectively and efficiently. However, there are still some problems encountered in e-commerce, especially from the user perspective. This research aims to explore user review data, particularly on factors that influence user perception of e-commerce applications, classify, and identify potential solutions to finding problems in e-commerce applications. Data is grabbed using web scraping techniques and classified using proper machine learning, i.e., support vector machine (SVM). Text associations and fishbone analysis are performed based on the classified user review data. The results of this study show that the user satisfaction problem can be captured. Furthermore, various services that should be provided as a potential solution to experienced customers' problems or application users' perception problems can be generated. A detailed discussion of these findings is available in this article.

Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau Muhammad Ikhsan Wibowo; Albertus Joko Santoso; Djoko Budiyanto Setyohadi
CommIT (Communication and Information Technology) Journal Vol. 12 No. 1 (2018): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i1.4361

Network documentation and legal information website is a form of e-government applications such as Jaringan Dokumentasi dan Informasi Hukum (JDIH). JDIH website must be designed to be an effective and efficient information system. This study aims to determine the success factors of the implementation of JDIH website. The DeLone and McLean model and the Unified Theory Acceptance and Use of Technology (UTAUT) are the models used in this study. The case study is conducted in the Riau legal and human rights office. Data are obtained through questionnaires from 252 respondents in the Riau provincial government and some communities. The analysis uses Structural Equation Modeling (SEM) and Analysis of Moment Structure (AMOS). The results of this study show that nine hypotheses have positive effects. Meanwhile, four hypotheses have no positive effects on the success and use of JDIH website. The findings of this research will be used as a reference inthe development of JDIH website in the future.

Analisis Komunikasi Sosial Media Twitter sebagai Saluran Layanan Pelanggan Provider Internet dan Seluler di Indonesia Retno Agus Setiawan; Djoko Budiyanto Setyohadi
Journal of Information Systems Engineering and Business Intelligence Vol. 3 No. 1 (2017): April
Publisher : Universitas Airlangga

Abstrak— Penggunaan sosial media sebagai layanan pelanggan memberikan banyak keuntungan bagi perusahaan. Pelanggan dapat menyampaikan keluhan, komentar, dan saran kepada perusahaan dengan mudah dan cepat. Namun tidak semua perusahaan yang menggunakan sosial media untuk meningkatkan layanan pelanggan memahami dengan baik interaksi yang terjadi yang melibatkan pelanggan. Penelitian ini mengidentifikasi interaksi yang terjadi antara pelanggan dan perusahaan melalui layanan pelanggan di lingkungan sosial media Twitter. Metode netnography digunakan untuk mengetahui bagaimana interaksi pelanggan dan perilaku perusahaan dalam berinteraksi. Hasil penelitian menunjukkan terdapat tiga kelompok utama interaksi pelanggan, yaitu keluhan (42,20%), komentar (35,55%) dan pertanyaan (22,25%). Selain itu hasil penelitian menunjukkan perilaku perusahaan yang menggunakan pendekatan personal dan bersahabat dalam berinteraksi dengan pelanggan. Kata Kunci—Layanan Pelanggan, Netnography, Sosial MediaAbstract— The use of social media as a customer service provides many advantages for the organizations. Customers can voice their complaints, comments, and suggestions to the organizations with easy and fast way. However, not all organizations that used social media to improve customer service understand about their interactions with customers. This study explores interactions that occur between customers and organization in Twitter environment. The netnography method is utilized to identify customer interactions and organizational behaviors. The results indicate that there are three types of customer interactions, complaints (42.20%), comments (35.55%) and questions (22.25%). In addition, the organization uses personal and friendly approach to interact with customers. Keywords—Customer Service, Netnography, Social Media

Mengukur Kesiapan Implementasi Customer Relationship Management (CRM) Model Application Service Provider (ASP) pada Usaha Mikro Kecil Menengah (UMKM) di Indonesia Rianto Rianto; Djoko Budiyanto Setyohadi
Journal of Information Systems Engineering and Business Intelligence Vol. 3 No. 1 (2017): April
Publisher : Universitas Airlangga

Abstrak— UMKM menjadi penyumbang utama pendapatan nasional untuk suatu Negara, khususnya Negara berkembang. UMKM tumbuh dan menyerap banyak tenaga kerja dan menjadi roda perekonomian utama. Indonesia menjadi salah satu dari banyak negara, dimana UMKM memberikan banyak kontribusi pendapatan nasional dan penyerapan tenaga kerja. Dalam bisnis, perubahan diperlukan agar tetap hidup dan berkembang, dalam hal ini perubahan bisnis yang bersifat konvensional ke e-bisnis. Salah satunya adalah CRM, CRM telah banyak digunakan oleh perusahaan-perusahaan besar untuk mengembangkan bisnis mereka. Implementasi CRM membutuhkan modal yang besar, khususnya aplikasi CRM model tradisional. Dibandingkan dengan Model ASP, CRM model ini sangat sesuai untuk UMKM khususnya di Indonesia karena dari segi keuangan dapat dijangkau oleh UMKM di Indonesia. Pada penelitian ini sebanyak 30 UMKM tingkat menengah digunakan sebagai koresponden dan digunakan untuk mengukur kesiapan UMKM di Indonesia menggunakan teknologi CRM dengan model ASP. Dimana pada hasil penelitian mengenai kegiatan yang berhubungan dengan CRM dilihat dari dimensi intelektual, sosial dan teknologi masih terlihat sangat rendah. Kata Kunci— Application Service Provider, Customer Relationship Management, e-Bisnis, Usaha Mikro Kecil Menengah.Abstract— SMEs have become a major contributor to the national income of a country, particularly a developing country. SMEs grow and absorb a lot of labor and become major economic wheel. Indonesia becomes one of many countries in which SMEs have contributed greatly to national income and employment. In business, change is needed in order to make it survive and develop; in this case is the change of conventional business to e-business. One of the changes is CRM, which has been widely used by giant companies to develop their business. CRM implementation requires substantial financial capital, particularly the application of traditional CRM. Compared to ASP model, this model is very appropriate for SMEs, especially in Indonesia, because it is affordable for SMEs in Indonesia. In this study, 30 middle-level SMEs were involved as correspondents and used to measure the readiness of SMEs in Indonesia using CRM technology with ASP model. Whereas, the results of research on activities associated with CRM viewed from intellectual, social, and technological dimension still look very low. Keywords— Application Service Provider, Customer Relationship Management, e-Business, Small and Medium-Sized Enterprises.

Factors Influencing the Adoption of E-Tilang; Empirical Evidence from the UTAUT Model Eva Yumami; Djoko Budiyanto Setyohadi; Suyoto Suyoto
Indonesia Journal on Computing (Indo-JC) Vol. 3 No. 1 (2018): Maret, 2018
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2018.3.1.207

Mid-Year 2017 The National Police of the Republic of Indonesia publishes E-tilang technology innovation. E-tilang is a mobile app that is used online by traffic police to take action against traffic violators on the highway. E-tilang aims to improve service to the public and reduce the misuse fines of traffic violations. This research factor influences acceptance and use of e-ticket by using UTAUT model. This research was conducted in Bengkulu area with 152 traffic policemen. The findings of this study indicate that performance expectancy, effort expectancy, and social influences positively affect the use of E-tilang. Facilitating conditions has no significant effect on the intention of using E-tilang. The results of this study are important steps to improve e-tilang services.

Self-Efficacy a Critical Factor of Information System: An Investigation using DeLone McLean Tri Lathif Mardi Suryanto; Djoko Budiyanto Setyohadi; Akhmad Fauzi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This paper examines what influences Attitude towar usage (ATU) as the expectation of the application of Employee Information System (EIS) with high success rate, this research is observed through cognitive value using approach theory of information system success model DeLone and McLean Model (DMM) and affective value using the Human Resource quality theory (HRQ) and the Self-Efficacy (SE) model. The overall data was obtained by providing questionnaires to employees at the Higher Education and using WarpPLS and SEM as a method of analysis. This study found that, because the EIS was positioned as a compulsory system, our study showed that only Self-Efficacy would affect Attitudes toward the Use of EIS. The quality of human resources, as other Affective factors, has no effect on Attitudes towards usage of EIS.

Improvement of Information Technology Infrastructure in Higher Education using IT Balanced Scorecard Clara Hetty Primasari; Djoko Budiyanto Setyohadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Today the use of Information Technology (IT) in business is a must since IT is useful to obtain competitive advantage. It can be achieved by alignment of IT and business, which is performed by developing a good IT infrastructure. Higher educational organization is one of business which requires competitive advantage to compete with their competitors. However, there are some problems encountered. These include the lack of a systemic approach to IT implementation, the lack of awareness to use IT, the lack of commitment and the leader's interest to implement IT, the weakness of technical support for IT implementation, poorly targeted staff development, lack of ownership and insufficient funds. Furthermore, an evaluation is need to determine the condition of IT infrastructure problems to deal with issues faced by a higher education organization. Balanced Scorecard is potential framework for analyzing IT infrastructure since it is one of the well-known performance measurements which embrace the important aspect in business. To do performance evaluation in the IT of higher education organization, Balance Scorecard perspective needs to be customized since IT division is more likely to serve internal rather than external parties commonly. The results of this study are expected to give an illustration of the state of IT infrastructure governance of higher education according to four perspectives in IT Balanced Scorecard. Based on this illustration, it can be identified critical recommendation to IT Infrastructure governance in higher education.

NoonGil Lens+: Second Level Face Recognition from Detected Objects to Decrease Computation and Performance Trade-off Jo Vianto; Djoko Budiyanto Setyohadi; Anton Satria Prabuwono; Mohd Sanusi Azmi; Eddy Julianto
Indonesian Journal of Information Systems Vol. 4 No. 2 (2022): February 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v4i2.5488

Artificial intelligence has developed in various fields. The development became more significant after Neural Networks(NN) began to gain popularity. Convolutional Neural Networks(CNNs) are good at solving problems such as classification and object detection. However, the CNNs model tends to function to solve a specific problem. In the case of both object detection and face recognition it is difficult to make a single model that works well. NoonGil Lens+ is expected to be an approach that can solve both problems at once. As well as being a solution, it is also hoped that this approach can reduce the trade-off of accuracy and execution speed. The approach we propose can be called as Noongil Lens+, a system that connects YOLOv3 and FaceNet. It is inspired from a korean series called ‘STARTUP’. The author only develops the FaceNet model and the proposed system in this paper (NoonGil Lens+). Region Selection, a machine learning-based greedy approach was proposed to determine snapshots to fed into FaceNet for facial identity classification. FaceNet is trained on the CelebA dataset which has gone through the preprocessing process and is validated using the LFW dataset. NoonGil Lens+ was validated using 70 images of 7 celebrities, characters, and athletes. In general, the research was carried out successfully. NoonGil Lens+ using Region Selection has an accuracy of up to 75.2%. The Region Selection execution speed is also faster compared to Cascade Faces.

Co-Authors Akhmad Fauzi Albertus Joko Santoso Anton Satria Prabuwono Clara Hetty Primasari Eddy Julianto Elia Zakharia Erna Wati Irvan Krisna Arsad Jo Vianto Mohd Sanusi Azmi Muhammad Ikhsan Wibowo Ni Wayan Purnawati Paulus Mudjihartono Pranowo Pranowo Retno Agus Setiawan Rianto Rianto Robet Habibi Sebastian Bagya Gunawan Sri Kusrohmaniah, Sri Suyoto Suyoto Yohanes Sigit Purnomo Wuryo Putro Yumami, Eva

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