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All Journal CESS (Journal of Computer Engineering, System and Science) Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal on Education Jurnal Pendidikan dan Konseling Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Minfo Polgan (JMP)
Riyanto Jayadi
Bina Nusantara University
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Dashboard System for Predicting Student Practicum Performance Using the Data Mining Method Adam Fahsyah Nurzaman; Riyanto Jayadi
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.35394

Abstract

One of the factors that can influence the success of an educational institution is the coveted quality of students. To be able to see the quality of students can be seen from the graduation obtained. One method that can be used to see the percentage of student graduation obtained is data mining. This research was conducted to examine the data assessment process using data mining methods as well as data visualization so that the information generated is better by using the dashboard. Decision tree method was chosen because the results obtained using data sources that create the highest accuracy. Out of this research, it is found that the dashboard which was developed to visualize the data to become more mature information and data assessment using data mining methods has succeeded in making stakeholders get better information and also helps in making better business decisions.
Application Of Machine Learning Directed To Detect And Prevent Network Intrusion In Xyz Switching Company (Financial Switching Company) Alvin Christian; Riyanto Jayadi
Jurnal Pendidikan dan Konseling (JPDK) Vol. 4 No. 5 (2022): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v4i5.7597

Abstract

Makalah ini menjelaskan perbandingan beberapa model pembelajaran mesin yang akan digunakan untuk mendeteksi dan mencegah intrusi jaringan, berdasarkan data yang dikumpulkan dari PT. Perangkat Firewall Generasi Berikutnya dari XYZ. Lalu lintas yang diterima ke lingkungan perusahaan dibagi menjadi tiga jenis yang berbeda yaitu diterima, dicegah dan ditolak. Algoritma yang dibandingkan adalah Decision Trees, Random Forest, Gradient Boosted Trees dan Naïve Bayes.
ANALYSIS OF THE IMPLEMENTATION GRC INFORMATION SYSTEM IN SUPPORTING PERFORMANCE OPTIMIZATION Ketin Febrina Adisuria; Riyanto Jayadi
Journal of Information System Management (JOISM) Vol. 4 No. 2 (2023): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2023v4i2.975

Abstract

The Integrated Governance and Compliance Risk Information System (SIGRC) is critical in helping institutions achieve their goals and deal with uncertainty. An Indonesian Government Agency (IGA) has used SIGRC for years. However, its utilization is still unknown. This research studies the impact of acceptance and utilization of SIGRC using Delone McLean and Unified Technology Acceptance and Use Technology. The conclusion is that the relationship between use and net benefits is unaffected. User intention on use, performance expectations on user intention, use on user satisfaction, and user satisfaction on the net benefit of SIGRC benefits are five factors that influence user satisfaction. While the expectation of use intention (ITU). Information quality with ITU. Quality of service with the use of ITU. Service quality with user satisfaction, system quality with ITU, and system quality with user satisfaction all have an influence but are not significant. This research is expected as a guideline for others to evaluate the effectiveness of SIGRC's performance. Keywords: GRC Software, Delone & Mclean, UTAUT, Decision Support System, Evaluation Information System
A Study on the Implementation of the Smart City Concept in Indonesia, Study on the Capital City of Jakarta Yohana Dwi Asima Purba; Riyanto Jayadi
Journal on Education Vol 5 No 4 (2023): Journal on Education: Volume 5 Nomor 4 Mei-Agustus 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i4.2680

Abstract

Jakarta, as the capital city of Indonesia, shows its seriousness in implementing Smart City technology in its city, namely by building a Jakarta Smart City (JSC). Jakarta Smart City has six indicators that form the basis for the development of Smart City. The six indicators are smart economy, smart people, smart governance, smart mobility, smart environment, and smart living. This study discusses the implementation of the concept of smart city in Jakarta based on the successful of each indicator and discusses about the extent of Smart City in supporting Jakarta’s vision and mission. This paper aims to provide an overview of the successful of smart city implementation in the city of Jakarta, as well as the improvements that needed to be done. This study uses the method of a study literature to get an early picture of the current conditions in Jakarta and Jakarta Smart City, then assessment using survey through interview and questionnaires, and qualitative analysis of descriptive. The result show that the six indicators of Smart City concept have been implemented successfully in the city of Jakarta and in line with the vision and mission of Jakarta. However, improvements in several aspects, as well as support from the citizens and government are deemed.
Evaluation of Electronic-Based Government System Using The E-Government Maturity Model: Case Study of Bekasi City Sintia Nursafitri; Riyanto Jayadi
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian Juni 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12455

Abstract

Since the primary purpose of government is to serve the community, providing high-quality public services is the primary outcome that is expected. As a result, the public sector must make adjustments for digitalization in light of recent technological advancements. An evaluation of the maturity of adopting an electronic-based government system must be done as part of the application for an electronic-based government system. The e-government maturity model framework, which comprises five stages, is used to evaluate the 4 domains, 8 aspects, and 47 indicators present in an electronic-based government system to determine the technological function's capabilities. 44 agencies that use an electronic-based government system were interviewed as part of the research technique, which also included a survey of the Bekasi City government environment. With a total index value obtained of 2.78 in 2022—a lower value than in the previous year—the city of Bekasi receives a Good predicate. In this study's measurement results, 16 indicators had the lowest index values, making them candidates for improvement suggestions for the Bekasi city government.
Investment Decision on Cryptocurrency: Comparing Prediction Performance Using ARIMA and LSTM Svend Pasak; Riyanto Jayadi
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.473

Abstract

The increasing popularity of cryptocurrencies as a means of financial inclusion for investment and trade has become a major concern for individuals seeking to benefit from the cryptocurrency market. This study aims to provide insights for cryptocurrency investors, financial sector professionals, and academics by utilizing machine learning techniques such as ARIMA and LSTM to compare the accuracy of modeling performance on datasets predicting the prices of five cryptocurrencies, namely Bitcoin, Ethereum, Binance Coin, Tether, and Cardano. Data was obtained by downloading from the Yahoo Finance website using Jupyter notebook. The LSTM method outperformed the ARIMA method, achieving a lower MAPE value of less than 10 percent and effectively capturing price movements, providing valuable information for decision-making.
Predicting the Number of Passengers of MRT Jakarta Based on the Use of the QR-Code Payment Method during the Covid-19 Pandemic Using Long Short-Term Memory Riyanto Jayadi; Taskia Fira Indriasari; Charis Chrisna; Putri Natasya Fanuel; Rayhana Afita
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol. 8 No. 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.2546

Abstract

The trend of using public transportation has been rising over the last several decades. Because of increased mobility, public transportation has now become more crucial. In modern environments, public transportation is not only used to carry people and products from one location to another but has also evolved into a service company. In Jakarta, Mass Rapid Transit Jakarta (MRTJ) started to operate in late 2019. Recently, they updated their payment gateway system with QR codes. In this study, we predicted the hourly influx of passengers who used QR codes as their preferred payment method. This research applied machine learning to perform a prediction methodology, which is proposed to predict the number of passengers using time-series analysis. The dataset contained 7760 instances across different hours and days in June 2020 and was reshaped to display the total number of passengers each hour. Next, we incorporated time-series regression alongside LSTM frameworks with variations in architecture. One architecture, the 1D CNN-LSTM, yielded a promising prediction error of only one to two passengers for every hour.
Co-Authors Adam Fahsyah Nurzaman Alvin Christian Charis Chrisna Ketin Febrina Adisuria Putri Natasya Fanuel Rayhana Afita Sintia Nursafitri Svend Pasak Taskia Fira Indriasari Yohana Dwi Asima Purba