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Listiyanto Listiyanto
Universitas Negeri Semarang
Education

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An Ethnophysics E-Module Based on Indonesian Bamboo Spinning Tops for Contextual Mechanics Learning Siti Muhafidhoh; Siti Wahyuni; Listiyanto Listiyanto; Hartono Hartono
Physics Communication Vol. 10 No. 1 (2026): February 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v10i1.50063

Abstract

This study aimed to analyze the characteristics of an integrated ethnophysics e-module for mechanics learning, determine its validity based on expert evaluations, and examine students’ responses toward its implementation. The study employed a Research and Development (R&D) method using the Four-D (4D) development model consisting of define, design, develop, and disseminate stages. The main characteristics of the developed e-module included integration of PDF and Google Sites, ethnophysics context and Magnus effect approach, multirepresentation mechanics materials, interactive multimedia features. The validation results showed that the developed e-module achieved an average percentage of 89.58% from material experts and 85.00% from media experts, both categorized as highly valid. In addition, the student response results obtained an average percentage of 90.25%, categorized as very positive. These findings indicate that the developed ethnophysics e-module has the potential to support contextual, interactive, and technology-based mechanics learning through the integration of local cultural phenomena and digital learning media.
Development of A Google Sites-Based Granular Mechanics E-Module to Facilitate Students' Conceptual Understanding Dea Fahmi Safitri Fahmi; Suharto Linuwih; Listiyanto Listiyanto
Physics Communication Vol. 10 No. 2 (2026): August 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v10i2.58501

Abstract

Granular Mechanics not taught directly in the core curriculum of physics majors because this field is still considered interdisciplinary advanced study. This study aims to develop a Google Sites-based Granular Mechanics e-Module that is feasible, practical, and has the potential to facilitate students' conceptual understanding in college. This study uses the Research and Development (R&D). However, this study only stops at the development stage. The limited trial subjects in this study were 36 students of the Physics and Physics Education Study Programs. The results showed that the e-Module obtained a material expert validation percentage of 84.43% with a valid category and a media expert validation percentage of 89.55% with a very valid category. The results of the practicality test obtained a percentage of 91.42% with a very practical Based on these results, the Google Sites-based Granular Mechanics e-Module was deemed feasible, practical, and has the potential to facilitate students' conceptual understanding. 
Implementation of Grover’s Search Algorithm for Tectonic Activity Detection in an Unsorted Seismic Database Shofina Mumtaz Mahardhika; Listiyanto Listiyanto; Agus Yulianto; Mahardika Prasetya Aji
Physics Communication Vol. 10 No. 2 (2026): August 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v10i2.59296

Abstract

One application of Grover’s Search Algorithm to large, unsorted databases can be found in seismic data, which is a collection of data with no specific order or structure that continues to grow over time. The Grover’s algorithm was implemented to detect tectonic activity in Indonesia based on earthquake magnitude and depth parameters. The data used consists of 5000 earthquake events in Indonesia from 2019 to 2024, obtained from United States Geological Survey (USGS). The target criteria were defined as earthquakes with a magnitude  and a depth km. The research focused on the amplitude amplification mechanism through the application of a quantum oracle and a quantum diffusion, which increased the probability of finding target data in each iteration. The implementation was carried out using Python and Qiskit. Simulation results showed that both Grover’s algorithm and the classical search method successfully identified 353 target data points. However, Grover’s algorithm required only 3 iterations, whereas the classical method required 5000 iterations. The distribution of target data indicates dominant tectonic activity in North Maluku, papua, and the western Sumatra subduction zone. Grover’s algorithm further demonstrates a computational advantage thorugh a quadratic speedup, reducing the time complexity from  in the classical approach to  in the quantum approach. 
Co-Authors Agus Yulianto Dea Fahmi Safitri Fahmi Hartono Hartono Mahardika Prasetya Aji Shofina Mumtaz Mahardhika Siti Muhafidhoh Suharto Linuwih