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Journal : IJITEE (International Journal of Information Technology and Electrical Engineering)

Ontology-Based Social Media Talks Topic Classification (Twitter Case) Fransisca Julia Kusuma Deviyanti; Sri Suning Kusumawardani; Paulus Insap Santosa
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 1 (2019): March 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.569 KB) | DOI: 10.22146/ijitee.46534

Abstract

In the era of digital communication, the use of Twitter as a customer service has been widely encountered. Companies have started to develop strategies around effective use of Twitter, one of which was to identify problems that customers frequently complain about. Twitter, with its straightforward tweet characteristics, will certainly contain sentences with very specific and easily recognizable keywords. These characteristics can be used as a basis for classifying tweets into certain topics. With a help of ontology, classification with keywords can be done automatically. The purpose of this paper is to design an ontology used as a basis for classifying tweets into certain topics related to the 4G telecommunications network in Indonesia and to evaluate performance of proposed classifier model.
Product Recommendation Based on Eye Tracking Data Using Fixation Duration Juni Nurma Sari; Lukito Edi Nugroho; Paulus Insap Santosa; Ridi Ferdiana
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.58693

Abstract

E-commerce can be used to increase companies or sellers’ profits. For consumers, e-commerce can help them shop faster. The weakness of e-commerce is that there is too much product information presented in the catalog which in turn makes consumers confused. The solution is by providing product recommendations. As the development of sensor technology, eye tracker can capture user attention when shopping. The user attention was used as data of consumer interest in the product in the form of fixation duration following the Bojko taxonomy. The fixation duration data was processed into product purchase prediction data to know consumers’ desire to buy the products by using Chandon method. Both data could be used as variables to make product recommendations based on eye tracking data. The implementation of the product recommendations based on eye tracking data was an eye tracking experiment at selvahouse.com which sells hijab and women modest wear. The result was a list of products that have similarities to other products. The product recommendation method used was item-to-item collaborative filtering. The novelty of this research is the use of eye tracking data, namely the fixation duration and product purchase prediction data as variables for product recommendations. Product recommendation that produced by eye tracking data can be solution of product recommendation’s problems, namely sparsity and cold start.
Improving Data Quality and Data Governance Using Master Data Management: A Review Sanny Hikmawati; Paulus Insap Santosa; Indriana Hidayah
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 3 (2021): September 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.66307

Abstract

Master data management (MDM) is a method of maintaining, integrating, and harmonizing master data to ensure consistent system information. The primary function of MDM is to control master data to keep it consistent, accurate, current, relevant, and contextual to meet different business needs across applications and divisions. MDM also affects data governance, which is related to establishing organizational actors’ roles, functions, and responsibilities in maintaining data quality. Poor management of master data can lead to inaccurate and incomplete data, leading to lousy stakeholder decision-making. This article is a literature review that aims to determine how MDM improves the data quality and data governance and assess the success of MDM implementation. The review results show that MDM can overcome data quality problems through the MDM process caused by data originating from various scattered sources. MDM encourages organizations to improve data management by adjusting the roles and responsibilities of business actors and information technology (IT) staff documented through data governance. Assessment of the success of MDM implementation can be carried out by organizations to improve data quality and data governance by following the existing framework.
Determining the Citizen Loyalty Factor of COVID-19 Website Using the Trust Model Azty Acbarrifha Nour; Lukito Edi Nugroho; Paulus Insap Santosa
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.69894

Abstract

One of the information technology (IT) utilization by the government is the establishment of an official website for public access, designed to disseminate information about the COVID-19. Gaining public trust in the information dissemination is getting harder due to the amount of information, while the government is striving to provide reliable information. The service quality provided on the official website will affect the public’s trust and desire to use these services. Citizen loyalty is known when people intensively use the government electronic services because they believe in the government and its e-services based on perceived satisfaction and service quality. This research studied the effect of service quality, trust, and user satisfaction on user loyalty when using e-services by the Special Region of Yogyakarta (DIY) government. The study used a trust model developed by Alkraiji and Ameen and applied it to the official COVID-19 website. Data were collected from 100 respondents in the DIY who were in the productive age range. The experiment was carried out using explanatory and inferential techniques with multiple linear regression methods. The results of the study indicate that all model hypotheses are accepted. The relationship between antecedents and citizen loyalty was more influenced by trust in government and e-government. This finding explains why Yogyakarta citizen trust the government and its electronic services and will be loyal to use these services during the COVID-19 pandemic, as well as other facilities in the future. 
Factors Affecting Collaboration Portal Effectiveness of the Audit Board of Indonesia Afrialdi Syahputra; Paulus Insap Santosa; Rudy Hartanto
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.70144

Abstract

The Audit Board of the Republic of Indonesia is known as Badan Pemeriksa Keuangan (BPK). In carrying out its duties and functions, it empowers and relies on information technology (IT) infrastructure that covers all aspects, including planning, procurement, service provision, information asset security, service continuity, and evaluation. BPK implements a collaboration portal to meet service needs and teamwork during the audit process, ad-hoc committees, and leader instructions to follow BPK’s strategic plan. BPK needs to assess the effect of the collaboration portal in supporting employee performance and improving IT services. As a result, this study aims to investigate the factors that influence the effectiveness of the BPK collaboration portal. This study used Delone and McLean model of information system success by looking at the relationship of system quality, information quality, service quality, facilitating conditions, and collaboration quality to user satisfaction and individual job performance. The research method used a quantitative approach with partial least squares-structural equation modeling (PLS-SEM). The sample data was collected from 60 respondents at BPK. The data obtained from the respondents were processed using the SmartPLS application. The study results show that information quality, facilitating conditions, and collaboration quality positively and significantly affect user satisfaction. There is a positive and significant influence of user satisfaction on individual job performance. In addition, system quality and service quality do not significantly influence user satisfaction with collaboration portal services.
Co-Authors Abdul Kadir Abraham, Firda Zulivia Afrialdi Syahputra Ahmad Ashari Andre Firmansyah Anik Budiati Arif Budi Setiawan Azty Acbarrifha Nour Baptista Sousa Pinto, Carlos Alberta Bimo Sunarfri Hantono Carlos Alberta Baptista Sousa Pinto Carlos Sousa Pinto Dadang Iskandar Dadang Iskandar, Dadang Dania Eridani Dania Eridani Daniel Kasse Desi Windi Sari Dhyan Kurnia Prasetyanti Diana Aristiawan Setyo Wibowo Dinan Yulianto Dinan Yulianto Dirko G. S. Ruindungan Eko Nugroho Eko Nugroho El Vionna Laellyn Nurul Fatich Faiqunisa Faiqunisa Fathahillah Fathahillah Fitria, Elfa Fransisca Julia Kusuma Deviyanti Giovanni Yoko Kristianto Hanung Adi Nugroho Hera Susanti Ika Aprilia H.N Indriana Hidayah Irma Yuliana Jayadianti, Herlina Juni Nurma Sari Juwairiah Juwairiah Kharis Kharis Lukito Edi Nugroho M. Nur Budiyanto M. Nur Budiyanto Mahendra, Yhony Agus Setya Maksum Ro’is Adin Saf Monica Agustami Kristy Mudar Safi Muhamad Risqi Utama Saputra Noor Akhmad Setiawan Nugroho, Wirawan Arief Prajna Deshanta Ibnugraha Puguh Prasetya Utomo Rianto Rianto Ridi Ferdiana Rina Yulius Riyanto Riyanto Roman Andrianto Pangondian Rudy Hartanto Saf, Maksum Ro’is Adin Safi, Mudar Sanny Hikmawati Silmi Fauziati Sri Suning Kusumawardani Sujoko Sumaryono Sulistyohati, Aprilia Teguh Baharto Aji Vieka Aprilya Intanny Vieka Aprilya Intanny, Vieka Aprilya Wahyu Widayat Wahyu Widayat Wahyu Widayat Wahyu Widayat Widayat, Wahyu Widyadarma, Arif Widyawan Widyawan Wing Wahyu W Wing Wahyu Winarno Wing Wahyu Winarno Yas Ahmad Adha Yhony Agus Setya Mahendra