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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) Jambura Journal of Mathematics Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) International Journal of Advances in Data and Information Systems Journal of Advanced in Information and Industrial Technology (JAIIT) Studies in Learning and Teaching Nusantara Science and Technology Proceedings Mitra Akademia: Jurnal Pengabdian Masyarakat TIERS Information Technology Journal International Journal of Data Science, Engineering, and Analytics (IJDASEA) International Journal Of Computer, Network Security and Information System (IJCONSIST) Journal of International Conference Proceedings Jurnal Aplikasi Sains Data
Prismahardi Aji Riyantoko
Department Of Data Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Other

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The Effect of Information Quality and Service Quality on User Satisfaction of the Government of Kabupaten Malang Dwi Arman Prasetya; Anggraini Puspita Sari; Prismahardi Aji Riyantoko; Tresna Maulana Fahrudin
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4328

Abstract

Currently, the government has implemented performance digitization through information systems that are published through official channels owned by the government, one of which is the government of Kabupaten Malang. The objective of this research was to assess or gauge the measurement and test variables and indicators that affect the quality of the Kabupaten Malang government website with the link www.malangkab.go.id/mlg The problem is, not many governments have launched applications paying attention to the factors that influence user satisfaction so that the government has not been able to prioritize repairs and optimize website performance to meet constituent needs that continue to grow in the digital era. This research employs a survey to identify the causal elements that impact the factors contributing to user satisfaction on the website. The causal factors include website service quality, information quality, and usability quality in user satisfaction. Respondents used in this study were website operators for regional apparatus in Kabupaten Malang, consisting of 81 respondents who met the requirements. In obtaining valid and reliable data, multiple linear regression and hypothesis testing were carried out. There are 4 multiple linear regressions that are carried out, namely, multicollinearity test, autocorrelation test, heteroscedasticity test, and normality test. The results of the influence of service quality, and information quality on user satisfaction through usability quality are 5 models that have a significant influence, that is Service Quality to Usability Quality, Information Quality to Usability Quality, Service Quality to User Satisfaction, Information Quality to User Satisfaction, and Usability Quality to User Satisfaction.
Pneumonia Classification Utilizing VGG-16 Architecture and Convolutional Neural Network Algorithm for Imbalanced Datasets Mohammad Idhom; Dwi Arman Prasetya; Prismahardi Aji Riyantoko; Tresna Maulana Fahrudin; Anggraini Puspita Sari
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4380

Abstract

This research focuses on accurately classifying pneumonia in children under the age of 5 using X-ray images, considering the challenge of an imbalanced dataset. A modified VGG-16 CNN architecture is evaluated for pneumonia classification in Chest X-Ray Images. The study compares testing results with and without data augmentation techniques and explores the potential application of the model in an Android-based machine learning system for pneumonia diagnosis assistance. Using a dataset of 5,856 Chest X-Ray images categorized as normal or pneumonia, obtained from Kaggle, the research conducts two test scenarios: one without data augmentation and another with data augmentation techniques. The modified VGG-16 CNN algorithm's performance is evaluated using the accuracy metric. The results highlight the effectiveness of data augmentation in improving pneumonia classification accuracy. The augmented tests outperform the non-augmented ones, achieving an impressive 92% accuracy, indicating a significant 15% improvement over the non-augmented scenario. This improvement underscores the efficacy of data augmentation techniques in enhancing the CNN's ability to accurately classify pneumonia, particularly when faced with an imbalanced dataset. Furthermore, the research explores the potential integration of the trained model into an Android-based machine learning system for pneumonia diagnosis assistance. This integration would enable doctors to analyze X-ray images and identify potential pneumonia cases in patients. The integration of advanced machine learning systems in healthcare holds promise for improving patient care and the accuracy of pneumonia diagnoses. In summary, this research contributes to the accurate classification of pneumonia in children under 5 years old using X-ray images. It emphasizes the efficacy of data augmentation techniques in enhancing classification accuracy and explores the practical application of an Android-based machine learning system for pneumonia diagnosis assistance. These findings underscore the importance of advanced machine learning systems in healthcare and their potential to improve pneumonia diagnosis accuracy and enhance patient care.
Daily Forecasting for Antam's Certified Gold Bullion Prices in 2018-2020 using Polynomial Regression and Double Exponential Smoothing Fahrudin, Tresna Maulana; Riyantoko, Prismahardi Aji; Hindrayani, Kartika Maulida; Diyasa, I Gede Susrama Mas
Journal of International Conference Proceedings Vol 3, No 4 (2020): Proceedings of the 8th International Conference of Project Management (ICPM) Mal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v3i4.1009

Abstract

Gold investment is currently a trend in society, especially the millennial generation. Gold investment for the younger generation is an advantage for the future. Gold bullion is often used as a promising investment, on other hand, the digital gold is available which it is stored online on the gold trading platform. However, any investment certainly has risks, and the price of gold bullion fluctuates from day to day. People who invest in gold hopes to benefit from the initial purchase price even if they must wait up to five years. The problem is how they can notice the best time to sell and buy gold. Therefore, this research proposes a forecasting approach based on time series data and the selling of gold bullion prices per gram in Indonesia. The experiment reported that Holt’s double exponential smoothing provided better forecasting performance than polynomial regression. Holt’s double exponential smoothing reached the minimum of Mean Absolute Percentage Error (MAPE) 0.056% in the training set, 0.047% in one-step testing, and 0.898% in multi-step testing.
Teacher's Readiness to Teach Literacy and Numeracy: A Literature Review Sumarno, Wahyu Kyestiati; Riyantoko, Prismahardi Aji; Shodikin, Ali; Solikha, Nur Imro’atus; Pratama, Novandi Kevin
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4129

Abstract

The preparedness of educators to teach foundational skills such as literacy and numeracy is critical for student success, especially in the early years of education. This literature review explores the current body of research on teacher readiness to instruct in these essential areas. Methodologically, the review synthesizes empirical studies, theoretical frameworks, and best practices published in peer-reviewed journals, reports, and educational white papers. Key findings reveal that teacher readiness is influenced by multiple factors including educational background, professional development, access to resources, and pedagogical support. The review also identifies gaps in the existing literature, particularly in the context of digital transitions and inclusive education. The insights gained from this study could guide future research and inform policy interventions aimed at enhancing teacher readiness for effective literacy and numeracy instruction.
Teacher's Readiness to Teach Literacy and Numeracy: A Literature Review Wahyu Kyestiati Sumarno; Prismahardi Aji Riyantoko; Ali Shodikin; Nur Imro’atus Solikha; Novandi Kevin Pratama
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4129

Abstract

The preparedness of educators to teach foundational skills such as literacy and numeracy is critical for student success, especially in the early years of education. This literature review explores the current body of research on teacher readiness to instruct in these essential areas. Methodologically, the review synthesizes empirical studies, theoretical frameworks, and best practices published in peer-reviewed journals, reports, and educational white papers. Key findings reveal that teacher readiness is influenced by multiple factors including educational background, professional development, access to resources, and pedagogical support. The review also identifies gaps in the existing literature, particularly in the context of digital transitions and inclusive education. The insights gained from this study could guide future research and inform policy interventions aimed at enhancing teacher readiness for effective literacy and numeracy instruction.
A Simple Data Sentiment Analysis using Bjorka phenomenon on Twitter Prismahardi Aji Riyantoko; Amri Muhaimin
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3353

Abstract

Social media is one of the means used by netizens to access, share and discuss the latest and hottest news issues. Twitter as one of the social media is a platform that in real-time is often chosen to communicate that matter. Through sentiment analysis with the text method mining on Twitter, we can understand how people describe and express their perceptions of obesity both positively and negatively nor neutral. This analysis is important to see the extent to which social media such as Twitter is used today. Those are one of the instruments for disseminating information data security in Indonesia. Research objectives for identifying sentiment analysis on related Twitter the Bjorka phenomenon in Indonesia using the text mining method. The type of research is cross-sectional. This research plan was chosen because of the data taken from Twitter in the last four-month time series (June 2022 - October 2022). The result of web scraping on Twitter is 998 Indonesian tweets. Taking data using the Twitter Scraping extension pack and analyzing using Python 3.7.2. Based on the results of sentiment analysis tweets got a neutral sentiment of 744 (75%) tweets, followed by negative sentiment of as much as 175 (18%) tweets and positive sentiment by the number 75 (8%) of a total of 994 tweets. The conclusion was presented the modelling in based on the topic, and we got three topic most relevant terms for topic 0, 1, or 2 with 35,3%, 33%, 31,7% of tokens, respectively.
Internet of Things ESP8266 Module for Vocational High School Student Prismahardi Aji Riyantoko; Ahmad Khairul Faizin; Burhan Syarif Acarya; Fairuz Mumtaz Idhizar Farraz
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3354

Abstract

The development of information and communication technology in the industrial era 4.0 is very rapid, especially in the field of IoT (Internet of Things). To get data and process data very quickly and in real-time, it takes a device that is connected to the internet network that will be able to provide information to anyone who is connected to the IoT device. IoT is the development of a system that can monitor and control from a remote place via the internet. In the current era, almost all people can access the internet easily, so by utilizing and optimizing the use of communication through the internet network by connecting sensor and actuator devices to the internet network. With this development, we need to provide the community with knowledge and skills about IoT through workshops, training and mentoring. The training includes knowledge of sensors, microcontrollers, and actuators that can be programmed and connected to the internet network. The ESP8266 microcontroller is a control device that can be filled with a program for controlling and monitoring devices installed on the internet network
Geometric Brownian Motion and Value at Risk For Anal-ysis Stock Price Of Bumi Serpong Damai Ltd I Maruddani , Di Asih; Trimono; Aji Riyantoko, Prismahardi; Susrama Masdiyasa, I Gede
IJDASEA (International Journal of Data Science, Engineering, and Analytics) Vol. 1 No. 1 (2021): International Journal of Data Science, Engineering, and Analytics Vol 1, No 1,
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v1i1.25

Abstract

Investment is one of the activities that last actually attractive to the people of Indonesia. One of the most widely traded financial assets in the capital market is stocks. Stock prices frequently experience challenges to predict changes, so they can increase or decrease at any time. One method that can be applied to predict stock prices is GBM. Then, the risk can be measured using the VaR risk measure. The GBM model is determined to be accurate in predicting the stock price of BSDE.JK, with a MAPE value of 5.17%. By using VaR-HS and VaR CFE, the prediction of risk of loss at the 95% confidence level for the period 06/07/21 is -0.0597 and -0.0623.
User Acceptance of Mobile Banking in Developing Country: A Path Analysis of Conceptual Model Safitri, Eristya Maya; Arista Pratama; Amalia, Indira S.; Alifansa, Dimas Mirza; Riyantoko, Prismahardi Aji
Journal of Advances in Information and Industrial Technology Vol. 6 No. 2 (2024): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v6i2.409

Abstract

Mobile banking is one of the information systems that has been proliferating. Its use in Indonesia has increased yearly, with transactions exceeding 4 trillion in 2021. Bank Negara Indonesia, or BNI, is one of the banks that adopted mobile banking service. The increased use also reflects the challenges in continuity to receiving mobile banking services, such as security and privacy, risk, trust, and mobile usability. This research aims to find out how security and privacy, risk, trust, and mobile usability affect mobile banking acceptance by using the Technology Acceptance Model (TAM). This research was conducted by survey and using simple random sampling to determine the respondents. Descriptive and analytical data are evaluated using the SEM technique. The proposed hypothesis is supported if the p-value is less than or equal to 0.005. The result shows that the acceptance of mobile banking is affected significantly by security and privacy, perceived trust, and mobile usability, with p-values for each construct being 0.027, 0.000, and 0.015. At the same time, perceived risk has an insignificant effect on mobile banking acceptance, with p- a value of 0.094. The other finding is that perceived risk and perceived trust have significantly affected mobile banking acceptance with a p-value of 0.000. Security and privacy, risk, trust, and mobile usability are critical factors for mobile banking to be accepted by its users.
Control Analysis on Dynamic System Model of Tuberculosis Disease with Educational Campaign, Vaccination, and Treatment Ilmayasinta, Nur; Riyantoko, Prismahardi Aji; Soemarsono, Annisa Rahmita; Rochmatin, Ulifatur
Jambura Journal of Mathematics Vol 7, No 1: February 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i1.30663

Abstract

Tuberculosis (TB) is caused by bacteria (Mycobacterium tuberculosis) that most commonly attacks the lungs. TB is spread from person to person through the air. When people with pulmonary TB cough, sneeze, or spit, they propel TB germs into the air. By inhaling only a small number of these germs, a person can become infected. Tuberculosis is curable and preventable. Prevention that can be done is by providing education about TB and vaccines. While treatment can be done by treating infected individuals. This study examines the TB epidemic model with the application of control, by finding optimal control solutions using the Pontryagin Minimum Principle method. In this study, three control variables were applied, namely education, vaccination and treatment. Numerical calculations were carried out using the Forward Backward Sweep 4th order Runge Kutta method and and then simulated. The results of the numerical simulation of the TB epidemic model show that by implementing control in the form of education, vaccination, and treatment, the population of infected individuals can be reduced.
Co-Authors Ahmad Khairul Faizin Alamsyah, Ryan Badai Ali Shodikin Alifansa, Dimas Mirza Amalia, Indira S. Amelia, Meisya Vira Amri Muhaimin Anggraini Puspita Sari Arista Pratama Arman, Dwi Arman Prasetya Atnanda, Primus Akbar Burhan Syarif Acarya Dila, Annita Fadhilah Aprilia Divia, Divia Prisillia Prisca Diyasa, I Gede Susrama Mas Dwi Arman Prasetya Dwi Arman Prasetya Dwi Arman Prasetya Emilia, Kholidatus Fahrudin, Tresna Maulana Fairuz Mumtaz Idhizar Farraz Hendri Prabowo I Gede Susrama Mas Diyasa I Gusti Putu Asto Buditjahjanto I Maruddani , Di Asih idhom, Mohammad Ikaningtyas, Maharani Ilmayasinta, Nur Kartika Maulida Hindrayani Kartika Maulida Hindrayani Khosyi, Hanun Aufa Nur Larasati Made Hanindia Prami Swari Mohammad Idhom Mohammad Idhom Muhammad Naswan Izzudin Akmal Munoto Novandi Kevin Pratama Nur Imro’atus Solikha Prameswari, Diajeng Pratama, Novandi Kevin Rahayu, Ayu Sri Rochmatin, Ulifatur Sa'diyah, Ilmatus Safitri, Eristya Maya Sarah, Sarah Aprilia Hasibuan Soemarsono, Annisa Rahmita Solikha, Nur Imro’atus Susrama Masdiyasa, I Gede Tahta Dari Timur Tresna Maulana Fahruddin Tresna Maulana Fahrudin Tresna Maulana Fahrudin Tresna Maulana Fahrudin Tresna Maulana Fahrudin Trimono Trimono, Trimono Varqa Ansori, Nine Alvariqati Wahyu Kyestiati Sumarno Wahyu Syaifullah Jauharis Saputra Widayawati, Eny Widison, Daffin Tanjiro Yuliani, Devina Putri