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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Intelmatics Jurnal Pengabdian Kepada Masyarakat Radisi
Ratna Shofiati
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Library & Information Science Social Sciences Other

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Journal : intelmatics

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Analysis of CNN for Detecting Footsteps in Physical Traces App Nadin, Annisa; Zuhdi, Ahmad; Shofiati, Ratna
Intelmatics Vol. 5 No. 2 (2025): July-December
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v5i2.23892

Abstract

Step detection is an essential feature in promoting healthy living through mobile applications. This study evaluates the accuracy of a Convolutional Neural Network (CNN) model implemented in the Physical Traces application for detecting steps based on accelerometer and gyroscope sensor data. Data were collected through experimental activities where 60 participants walked 20 steps and ran 10 meters, repeated three times each. The results show average accuracy exceeding 100%, indicating a tendency for overcounting. Evaluation was performed using Absolute Error, Relative Error, Symmetric Accuracy, and SMAPE. Statistical analysis (Mann-Whitney, Kruskal-Wallis), reliability test (Cronbach’s Alpha = 0.9178), and validity test (positive correlations) revealed significant differences by gender and age group. These findings indicate that CNN-based step detection works effectively, but improvements are necessary to address individual variability and real-world conditions.
UX Comparison of Physical Traces, Samsung Health, Strava with EUCS Method Rini, Alefia; Shofiati, Ratna; Zuhdi, Ahmad
Intelmatics Vol. 6 No. 1 (2026): January-June (In Progress)
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v6i1.23929

Abstract

The development of digital technology has encouraged people to be more concerned about their health through the use of physical activity monitoring applications. This study aims to compare user experiences of three physical activity tracking applications, namely Physical Traces (developed by researchers), Samsung Health, and Strava, using the End User Computing Satisfaction (EUCS) approach. EUCS assesses user satisfaction based on five dimensions: content, accuracy, format, ease of use, and timeliness. Data were collected through a 4-point Likert scale-based questionnaire distributed to 107 respondents. The results showed that all questionnaire items were valid and reliable. The Samsung Health application excelled in the content and timeliness dimensions, Strava excelled in accuracy, while Physical Traces had the highest scores in ease of use and format. However, a statistically significant difference was found only in the accuracy dimension (p = 0.0016). These findings provide an overview of the strengths and weaknesses of each application, as well as input for improving the Physical Traces application in the future.
Co-Authors Ahmad Zuhdi Ahmad Zuhdi Aji Saputra, Aji Anak Agung Istri Sri Wiadnyani Anung B Ariwibowo Ariwibowo, Anung B Ariwibowo, Anung B Ariwibowo, Anung B. Binti Solihah Cama Juli Rianingrum Dedy Sugiarto Dimmas Mulya Faiz Kumara Fajar, Alfath Firdasari, Elita Wahyu Giffary, Ridho Gunawan, Muhamad Ichsan Gunawan, Muhammad Ichsan Hartini Hartini Hartini Ida Jubaedah Kresna, I Nyoman M Arya Octavianus M. Yogi Riyantama Isjoni Muhamad Ichsan Gunawan Nadia, Alya Shafa Nadin, Annisa Ningsih, Yunia Octavianus, M Arya Raid, Daffa Raditya Rianti Dewi Sulamet-Ariobimo Rini, Alefia Sari Irmadani Sari, Syandra Saskia, Cut Sannas Shabrina Teruri Shan ASP, Putri Shan, Putri Syandra Sari Teddy Siswanto Teddy Siswanto, Teddy Wawan Kurniawan Zaki, Arviandri