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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.
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.
Indonesian Sign Language (BISINDO) Classification Using Xception Transfer Learning Architecture Amelia, Meisya Vira; Saputra, Wahyu Syaifullah Jauharis; Hindrayani, Kartika Maulida; Riyantoko, Prismahardi Aji
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i2.1392

Abstract

Human communication generally relied on speech. However, this was not applicable to the deaf people, who depended on sign language for daily interactions. Unfortunately, not everyone had the ability to understand sign language. In higher education environments, the lack of individuals proficient in sign language often created inequality in the learning process for deaf students. This limitation could be addressed by fostering a more inclusive environment, one of which was through the implementation of a sign language translation system. Therefore, this study aimed to develop a machine learning model capable of detecting and translating Indonesian Sign Language (BISINDO) alphabet gestures. The model was built using the Xception transfer learning method from Convolutional Neural Networks (CNN). The dataset consisted of 26 BISINDO alphabet gestures with a total of 650 images. The model was evaluated using K-Fold cross-validation and achieved an F1-score of 94% during testing.
Southeast Asia Happiness Report in 2020 Using Exploratory Data Analysis Riyantoko, Prismahardi Aji
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.725 KB) | DOI: 10.33005/ijconsist.v2i1.31

Abstract

The happiness index to be one of part to presents that each country has indicator which affect each other. Many countries have a basic indicator to determine that happiness score, there are economy sector, social support, trust to the government, generosity, and measure life satisfactions. The indicator is presents in the dataset, it means need to explore, analysis, and visualization to give knowledge to the other people. Data science is one knowledge field to determine data. Exploratory data analysis (EDA) is part of data science process. In this works, we present happiness report in the Southeast Asia region using the dataset World Happiness Report 2020. The results, we describe and discuss the dataset using table with column and value or score, the other we using bar-plot, correlation bar-plot, bar-plot analysis, and map-plotting visualization. Output of EDA is only recommendation to next parts in the Data Science process, minimum has knowledge to reducing data, merge data, cleansing data, visualization data to be based of knowledge to build data modelling.
Exploratory Data Analysis and Machine Learning Algorithms to Classifying Stroke Disease Riyantoko, Prismahardi Aji; Fahrudin, Tresna Maulana; Hindrayani, Kartika Maulida; Idhom, Mohammad
IJCONSIST JOURNALS Vol 2 No 02 (2021): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.79 KB) | DOI: 10.33005/ijconsist.v2i02.49

Abstract

This paper presents data stroke disease that combine exploratory data analysis and machine learning algorithms. Using exploratory data analysis we can found the patterns, anomaly, give assumptions using statistical and graphical method. Otherwise, machine learning algorithm can classify the dataset using model, and we can compare many model. EDA have showed the result if the age of patient was attacked stroke disease between 25 into 62 years old. Machine learning algorithm have showed the highest are Logistic Regression and Stochastic Gradient Descent around 94,61%. Overall, the model of machine learning can provide the best performed and accuracy.
PEMANFATAAN APLIKASI CANVA SEBAGAI MEDIA PEMASARAN DI KAMPUNG KUE SURABAYA Riyantoko, Prismahardi Aji; Fahrudin, Tresna Maulana; Sa'diyah, Ilmatus; Varqa Ansori, Nine Alvariqati; Atnanda, Primus Akbar; Alamsyah, Ryan Badai
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 5 No 1 (2022): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/mapnj.v5i1.4529

Abstract

The evolution of information technology in Industrial 4.0 and Society 5.0 makes people have to divert buying and selling activities using digital media. A cake cluster (kampung kue) in Surabaya needs a media or application based on information technology for making catalogs that can be published through social media. We offer a solution to make it easier for the sellers by using the Canva Application as a medium for cataloging and marketing the cake through many social media to attract buyers and customers. In carrying out the promotion, it is necessary to prepare the best promote the Indonesian Language, hence we also give the participant to improve the promotion skills. The other result of our training and mentoring approach during community service is a training module publication. This module provides participants with how to use the Canva Application and promotional language. Therefore, marketing and selecting strategies are the main keys in the business of the digital era. Utilizing information technology and social media has proven to have a very positive impact on increasing sales effects. Keywords: Catalog, Canva, Kampung Kue, Promotion Language Abstrak Perkembangan teknologi informasi di era Industri 4.0 dan Society 5.0 menjadikan masyarakat harus mengalihkan kegiatan jual beli melalui media digital. Salah satu komunitas di Kota Surabaya yaitu Kampung Kue membutuhkan media pembuatan katalog yang bisa dipublikasikan melalui media sosial. Solusi yang bisa kami tawarkan untuk memudahkan Ibu-Ibu penjual kue adalah dengan memanfaatkan aplikasi canva sebagai media pembuatan katalog dan memasarkan hasil katalognya melalui banyak media sosial untuk menarik pembeli dan pelanggan. Dalam melakuakan promosi dibutuhkan penyusunan Bahasa Indonesia yang baik, benar dan tepat, agar kualitas promosinya lebih baik, sehingga kami juga melatih keterampilan Ibu-Ibu di Kampung Kue dengan memberikan keterampilan promosi. Kegiatan ini menghasilkan ketertarikan Ibu-Ibu untuk memanfaatkan aplikasi canva sebesar 80% dari total jumlah peserta yang hadir selama dua hari. Salah satu hasil yang diberikan dari pelatihan dan pendampingan ini adalah modul pelatihan. Modul ini memberikan tata cara penggunaan aplikasi canva dan Bahasa promosi kepada pengusaha kue. Oleh karena itu, memasarkan dan pemilihan strategi serta media sosial menjadi kunci utama dalam usaha di era digital ini. Dengan memanfaatkan teknologi informasi dan media sosial terbukti sangat berdampak positif dalam meningkatkan hasil penjualan. Kata kunci: Katalog, Canva, Kampung Kue, Bahasa Promosi  
Penyusunan media pembelajaran digital menggunakan bahasa pemrograman R-Shiny 4.3.3 pada jenjang sekolah menengah atas Trimono, Trimono; Ikaningtyas, Maharani; Widayawati, Eny; Riyantoko, Prismahardi Aji; Widison, Daffin Tanjiro; Khosyi, Hanun Aufa Nur
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 6 No. 3 (2025)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v6i3.22899

Abstract

Penerapan Kurikulum Merdeka pada jenjang SMA berorientasi pada pemanfaatan teknologi dalam proses pembelajaran. Namun, fakta yang terjadi menunjukan bahwa penerapan belum berjalan optimal karena keterbatasan perangkat dan kurangnya penguasaan teknologi oleh guru dan murid. Hal tersebut berdampak pada proses transfer materi yang terhambat, hasil belajar yang belum sesuai target sekolah, serta siswa yang mengalami kesulitan dalam mempelajari materi yang diberikan. Untuk mengatasinya, akan disusun aplikasi pembelajaran digital berbasis Graphical User Interface (GUI).  Aplikasi disusun menggunakan bahasa pemrograman R-Shiny 4.3.3 dan terdiri dari dua struktur utama yaitu ui.io dan server.io. Ui.io berisi perintah mengatur tampilan aplikasi dan dijalankan melalui perintah dashboardHeader, dashboardSidebar dan tabsetPanel. Server.io berisi perintah komputasi untuk memperoleh hasil akhir. Perintah yang digunakan meliputi output$contents, renderDataTable, renderPrint, dan renderPlot. Kegiatan ini bertujuan untuk memberikan keahlian kepada guru untuk menciptakan aplikasi pembelajaran digital yang dapat diterapkan pada proses pembelajaran. Melalui uji mean sampel berpasangan, pada tingkat kepercayaan α = 5% diperoleh hasil bahwa terdapat peningkatan yang signifikan dalam hal kemampuan guru dalam menyusun media pembelajaran. Rata-rata kemampuan guru sebelum mengikuti pelatihan adalah 1,21 dan setelah pelatihan adalah 8,34. Luaran utama yang diperoleh adalah aplikasi pembelajaran untuk mata kuliah Matematika, Fisika, Kimia, dan Ekonomi.