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All Journal Jurnal Teknologi dan Sistem Komputer IJID (International Journal on Informatics for Development) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Cyber Security dan Forensik Digital (CSFD)
Muhammad Taufiq Nuruzzaman
UIN Sunan Kalijaga Yogyakarta
Computer Science & IT Education Electrical & Electronics Engineering Library & Information Science Other

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Analysis of Factors Affecting the Students’ Acceptance Level of E-Commerce Applications in Yogyakarta Using Modified UTAUT 2 Dori Gusti Alex Candra; Muhammad Taufiq Nuruzzaman; Shofwatul 'Uyun; Bambang Sugiantoro; Millati Pratiwi
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3990

Abstract

Yogyakarta is listed as the region with the highest number of residents engaging in e-commerce transactions. A total of 10.2% of the population are active e-commerce sellers, while 16.7% belong to the buyer category. Research by IDN Times showed that e-commerce application users have been dominated by students, with a percentage of 44.2%.  The purpose of this study is to analyze the factors that influence students’ level of acceptance of e-commerce applications in Yogyakarta using the modified UTAUT 2. This is quantitative research with multiple linear regression models using SPSS software version 25 with a sample size of 303 people. Data analysis in this study was conducted in a few steps, including descriptive analysis, validity test, reliability test, classical assumption test and hypothesis testing. The results of this study indicate that the student’s level of acceptance of e-commerce applications is within good criteria. The variables that have a positive effect on the behaviour intention (BI) are performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), habit (HB), price value (PV), perceived risk (PR), perceived security (PS), and trust (TR) are variables that negatively affect the variable behaviour intention (BI). All independent variables affect the dependent variable or behaviour intention (BI) with a total of 63.3% and the difference with a total of 36.7% is caused by other factors not examined by the researcher.
Comparison of K-Nearest Neighbor, Support Vector Machine, Random Forest, and C 4.5 Algorithms on Indoor Positioning System M Rizky Astari; Muhammad Taufiq Nuruzzaman; Bambang Sugiantoro
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3991

Abstract

Today’s most common Positioning System applied is the Global Positioning System (GPS). Positioning System is considered accurate when outdoors, but it becomes a problem when indoors making it difficult to read the GPS signal. Many academics are actively working on indoor positioning solutions to address GPS's drawbacks. Because WiFi Access Point signals are frequently employed in multiple studies, they are used as research material. This study compares the classification algorithms KNN, SVM, Random Forest, and C 4.5 to see which algorithm provides more accurate calculations. The fingerprinting method was employed in the process of collecting signal strength data in each room of the Terpadu Laboratory Building at UIN Sunan Kalijaga using 30 rooms and a total dataset of 5,977 data. The data is utilized to run experiments to determine the location using various methods. According to the experimental data, the Random Forest algorithm achieves an accuracy rate of 83%, C4.5 81%, and KNN 80%, while the SVM method achieves the lowest accuracy rate of 57%.
Co-Authors Agung Fatwanto Aprilliyanto, Tofik Azis Alvriyanto Bad’ul Hilmi Arromdoni Bad’ul Hilmi Arromdoni Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Dori Gusti Alex Candra Eko Jhony Pranata Fauzi, Muhammad Dzulfikar Gunawan, Eko Hadi M Rizky Astari M Sa'id Abdurrohman Kunta Mardlian Aman M. Sa’id Abdurrohman Kunta Mardlian Maria Ulfah Siregar Millati Pratiwi Minati, Sekar Muhammad Edi Iswanto Muhammad Reza Velayani Rahmat Hidayat Shofwatul 'Uyun Shofwatul 'Uyun Shofwatul 'Uyun Shofwatul ‘Uyun Wonoseto, Muhammad Galih Yudha Riwanto Zahrohuulil Fadhilah