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All Journal Komunikasi Fisika Indonesia Trikonomika: Jurnal Ekonomi Jurnal Otomasi Kontrol dan Instrumentasi
Nardi, Nardi
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Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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CUSTOMER ANXIETY AFTER COVID-19 AND ITS IMPACT TO THE BEHAVIORAL INTENTION AT HYPERMARKET Fauziah, Fenty; Nardi, Nardi; Fitriansyah, Fitriansyah; Zien , Rushami; Nurfadillah, Mursidah
TRIKONOMIKA Vol 23 No 1 (2024): June Edition
Publisher : Faculty of Economics and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/trikonomika.v23i1.12771

Abstract

The COVID-19 pandemic has significantly impacted the modern retail sector, particularly hypermarkets in East Kalimantan, influencing consumer behavior by creating anxiety and promoting both hedonic and utilitarian shopping behaviors. This study examines how attitudes toward behavior mediate the relationship between anxiety, utilitarian value, hedonic value, and behavioral intention among hypermarket consumers post-pandemic. The study addresses theoretical and empirical inconsistencies in these relationships. Involving 160 participants selected through systematic random sampling, data were analyzed using Partial Least Squares (PLS) with Smart PLS 3.0. Seven hypotheses were tested. Findings indicate that only utilitarian value and attitude toward behavior significantly affect behavioral intention. Both hedonic and utilitarian values predict attitudes toward behavior, while anxiety has a negative and insignificant effect on both behavioral intention and attitudes. Post-pandemic, consumers are no longer anxious about shopping at hypermarkets, suggesting a need for improved promotions and services in hypermarkets.
Evaluation of the Arima-Kalman model in predicting rainfall in Medan City in 2023 using observation data from 2013 – 2022 Lumbantoruan, Alva Josia; Darmawan, Yahya; Munawar, Munawar; Nardi, Nardi; Arifianto, Fendy; Ferdiansyah, Ervan
Indonesian Physics Communication Vol 22, No 1 (2025)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.22.1.15-22

Abstract

This paper aims to evaluate the ARIMA-Kalman model in predicting rainfall in Medan City for the year 2023. The data used are historical observation data of rainfall from 2013 to 2022 that have been tested for stationary and homogeneity, which proved not to require additional correction. The analysis results show that the ARIMA-Kalman model can capture the general pattern of rainfall well, and shows superiority in producing predictions that are closer to the actual data, with a mean absolute error (MAE) value of 54.11, which is lower than the MAE of the ARIMA model which reaches 55.66. Although the ARIMA model has a smaller root mean square error (RMSE) (66.67 compared to 69.75 for ARIMA-Kalman), the ARIMA-Kalman model shows better consistency, especially in capturing significant fluctuations, such as the peak rainfall that occurred in July 2023. Therefore, ARIMA-Kalman is proven to be more accurate and reliable for predicting rainfall in Medan city, making it a better choice to support water resources planning and management.
Empirical orthogonal functions (EOF) analysis of spatial patterns of dominant variability in the Indian Ocean Manik, Willy Bonanja; Darmawan, Yahya; Munawar, Munawar; Nardi, Nardi; Arifianto, Fendy; Ferdiansyah, Ervan
Indonesian Physics Communication Vol 22, No 1 (2025)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.22.1.23-26

Abstract

The Indian Ocean plays a crucial role in the global climate system, particularly in influencing the seasons in Indonesia. Sea surface temperature (SST) variability in the Indian Ocean affects rainfall patterns, extreme events, such as droughts and floods, in Indonesia. This study analyzes SST variability during the dry season (June – July – August, JJA) and rainy season (December – January – February, DJF) using satellite and reanalysis data from 1981 to 2023 with the empirical orthogonal function (EOF) method. The analysis shows that the dominant SST variability pattern during JJA is related to the Indian Ocean dipole (IOD), which influences rainfall and temperature patterns in Indonesia. In DJF, SST variability is more associated with the Asian-Australian monsoon, affecting rainfall patterns and the potential for floods. This research enhances the understanding of climate dynamics in the Indian Ocean and its impact on Indonesia, and it can be used to predict extreme climate events associated with SST variability.
Rancang Bangun Intensitymeter Berbasis MEMS Dengan Algoritma Pendeteksi Kejadian STA/LTA dan Sistem Peringatan Multi-Saluran Rawana, Aziz; Rusanto, Benyamin Heryanto; Trihadi, Edward; Nardi, Nardi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2025.17.2.8

Abstract

Indonesia is an earthquake-prone country due to its location at the convergence of three major tectonic plates. To support disaster mitigation, a reliable and affordable monitoring system is required. This study presents a low-cost intensitymeter using a MEMS WT61C sensor with the STA/LTA detection algorithm, Raspberry Pi 4 for processing, and a Ublox Neo-M8N GNSS module for time and location synchronization. The system supports online and offline modes with a store-and-forward mechanism and delivers alerts via buzzer, SMS, and Telegram. The WT61C was configured with 20 Hz bandwidth and 100 Hz sampling rate. Tests showed the device detected local earthquakes, calculated Peak Ground Acceleration (PGA), and estimated Modified Mercalli Intensity (MMI). In simulations of the Lombok 2018 earthquake (M7.0), it produced PGA values of 0.5704 g (23.3% error) and 0.7495 g (0.8% error) against the reference 0.744 g, both consistent with MMI VIII. SMS was sent serially with 5–7 s latency, while Telegram worked in real time. Validation was limited to a simulator with one dataset, without diverse soil or magnitude scenarios. In conclusion, the system provides an effective, low-cost solution for earthquake intensity monitoring and has potential for early warning applications.
Co-Authors Arifianto, Fendy Fauziah, Fenty Ferdiansyah, Ervan Fitriansyah, Fitriansyah Lumbantoruan, Alva Josia Manik, Willy Bonanja Munawar Munawar Nurfadillah, Mursidah Rawana, Aziz RUSANTO, BENYAMIN HERYANTO Trihadi, Edward Yahya Darmawan Zien , Rushami