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Smartphone App for Heart Rate Monitoring and Its Impact on Education Toward Industry 4.0 Aripriharta, Aripriharta; Andajani, Kusubakti; Aisyah, Siti; Riski, Akhmad Afrizal; Andoko, Andoko; Mufti, Nandang; Horng, Gwo Jiun
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 43, No 2: September 2020
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v43i22020p100-105

Abstract

This paper presents the development of Smartphone app for monitoring the heart rate, which used as a tool for life-based learning. The app featured life-based experiments for undergraduates' students through do-it-by-your-self activities. This app was developed with Firebase to create a heart rate monitoring system interface as well as a framework for life-based experiments. Also, this app had video features as learning resources. We used an experimental method to evaluate the proposed system of learning. The subjects were 30 undergraduate students who were separated into two groups. Based on our survey, student learning outcomes increased by 35 percent compared to conventional experiments.
Optimization of distributed generation placement in distribution network based on queen honey bee migration algorithm Fachriyyah, Alif Dhurrotul; Aripriharta, Aripriharta; Sujito, Sujito; Prasetyo, Muchamad Wahyu; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah binti; Omar, Saodah; Horng, Gwo Jiun
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.856

Abstract

In this research, an optimal distributed generation (DG) placement method for radial distribution systems based on queen honey bee migration (QHBM) and backward forward sweep (BFS) is presented. The suggested approach makes it possible to evaluate DG placement options in terms of branch currents, voltage profiles, and active power losses in a physically consistent manner. DG units are characterized as photovoltaic-based sources operating at unity power factor using an explicit net load formulation at the bus level, ensuring a clear interplay between DG injection and current-based load flows. Throughout the optimization process, a constraint-aware migration technique is employed to explicitly impose voltage limitations with the goal of minimizing overall active power losses while maintaining bus voltage magnitudes within allowable bounds. The proposed method was tested on an IEEE 69-bus radial distribution system to evaluate its performance. The results show that the placement of three DG units with a total installed capacity of approximately 2600 kW at buses 61, 64, and 17 produces a significant improvement in network operation. Under this arrangement, active power losses drop markedly from 224.4419 kW in the base condition to 72.7840 kW, corresponding to a reduction of 67.6 %. At the same time, the lowest bus voltage rises from 0.9104 p.u. to 0.9931 p.u., while voltage levels across the network consistently remain within the allowable range of 0.95–1.05 p.u. The study's findings suggest that QHBM-BFS can be used as a trustworthy and useful method for figuring out where DG should be placed in radial distribution systems.