Indra Hidayatulloh
(Scopus ID: 56288307000) Department Of Electronics And Informatics Engineering Education, Faculty Of Engineering, Universitas Negeri Yogyakarta, Yogyakarta

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Desain dan Implementasi Platform Manajemen Historis Harga Saham dengan Kurasi Data dan Analisis Teknikal Hidayatulloh, Indra
JURNAL INFOTEL Vol 9 No 1 (2017): February 2017

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.305 KB) | DOI: 10.20895/infotel.v9i1.152


Current research topics related to the stock is dominated by stock price prediction. To predict the stock price, it needs historical stock prices data. Many providers are providing the data, but not all of them free. Some providers that provide historical stock prices data for free are Yahoo Finance, Google Finance, Stooq, and the National Stock Exchange (NSE) of India. However, often there are differences in data between providers both in terms of availability, content, data formats, and so on. Thus, investors need to take data from some providers to be compared in order to obtain optimal analytical results. Therefore, this study builds data management platform to curate the historical stock prices data from the four data sources as well equipped with technical analysis to facilitate analysis of investment. In this study it was found that the data curation of historical stock prices for the four data sources can be performed with RDBMS technology as the database. However, there is a weakness that is less flexible when required adding additional data sources of unstructured data or have a different column. But, with the data from the four data sources that have been integrated, technical analysis can provide a broader picture the trend of stock price movements by comparing the results of the analysis for each data source.
Gamification on Chatbot-Based Learning Media: a Review and Challenges Hidayatulloh, Indra; Pambudi, Sigit; Surjono, Herman Dwi; Sukardiyono, Totok
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 1 (2021): Mei 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v6i1.43705


The mobile learning sector has exploded, implying that the e-Learning trend is shifting to mobile platforms. As a result, chatbots have become increasingly popular alternatives for online learning and examinations on mobile platforms. However, it did not provide enough motivation for the student. On the other hand, gamification in a typical e-Learning platform is a widely used technique for increasing students' learning motivation. Therefore, combining gamification with chatbot-based learning and examinations possibly offer benefits, including increase student learning motivation. This study explored the possibilities and future challenges of the development of gamification within chatbot-based learning media. We discussed four aspects: architecture's reliability, security and privacy issue, user’s acceptance and motivation, and gamification feature challenges.
Integrasi Sentiment Analysis SentiWordNet pada Metode MOORA untuk Rekomendasi Pemilihan Smartphone Indra Hidayatulloh; Muhammad Zidny Naf’an
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 1: Februari 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1280.07 KB)


Besides specification and price, smartphone reviews can affect on consumer interest buying. This study aims to use the value of smartphone review sentiment as one of the attributes/criterias in addition to specifications and prices on the calculation of Decision Support System using MOORA method to generate smartphone recommendations. Sentiment value is obtained from sentiment analysis using SentiWordNet. There are two approaches of MOORA method used in this research, Ratio System and Reference Point Approach. Testing has been done by comparing the results of smartphone recommendations between approaches on the MOORA method, with or without sentiment analysis, on smartphone rankings based on the number of smartphone fans on the GSM Arena site. The test results show that the method of MOORA with Ratio System approach without sentiment analysis has the best accuracy among other approaches.