Claim Missing Document
Check
Articles

Found 2 Documents
Search

SUBJECTIVE EXPERIENCE AND OBJECTIVE MEASUREMENT: INTEGRATING NEWTON'S LAWS AND SMARTPHONE SENSORS IN PHYSICS LEARNING Nurul Fitria; Ishafit; Okimustava; Fida Afifah; Sri Wahyuni; Ermelinda; Zellius Ragiliawan
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.3851

Abstract

In today’s digital era, physics education demands more contextual and technology-integrated approaches to bridge abstract concepts with real-world experiences. This study aims to develop an innovative approach in physics learning by utilizing smartphone sensors to analyze the vertical motion dynamics of an elevator based on Newton’s Laws. The experiment was conducted in a five-story elevator at BRIDA Surakarta using the Phyphox application, which employs the smartphone’s built-in accelerometer and barometer. The modes "acceleration without g" and "elevator" were used to record real-time data of acceleration, velocity, and altitude. Data was collected through ten trials—five upward and five downward motion cycles. The recorded data revealed maximum acceleration values of ±8 m/s², aligning with the typical operational range of elevators (6–10 m/s²), while the altitude change was approximately ±18 meters, corresponding to the actual height of the building. The elevator’s motion was clearly segmented into three phases: initial acceleration, constant velocity, and deceleration. In each phase, passengers experienced distinct physical sensations—from feeling pressed down, to normal, to weightless—which closely correlated with the recorded acceleration data. These findings strongly validate the application of Newton’s Laws in non-inertial systems and the alignment between subjective sensations and quantitative measurements. Beyond reinforcing conceptual understanding through firsthand experience, this approach encourages active student engagement and enables experimentation without reliance on conventional physics laboratories. The study affirms that smartphone-based technologies hold great potential in democratizing access to scientific instrumentation and enhancing the quality of STEM education in a contextual, inclusive, and applicable manner.
Transformasi Lansia Menuju Active Ageing melalui RUJAK POLO (Rumah Jaringan Usaha Kerja Produktif) di Yogyakarta Nani Aprilia; Okimustava; Deni Ismanto; M. Sayuti; Dody Hartanto; Ulaya Ahdiani; Bambang Sudarsono; Yusutria; Nur Kholis; Eko Susanto
JURPIKAT Vol 6 No 4 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i4.2733

Abstract

The transformation of the elderly toward active ageing is a crucial issue as Indonesia’s ageing population continues to grow, posing social and economic challenges. Older adults are often perceived as passive and dependent, whereas with the right approach they can remain productive and independent. This community engagement program empowers seniors through the establishment of RUJAK POLO (Rumah Jaringan Usaha Kerja Produktif – Productive Work Network House) as a hub for training, collaboration, and community-based creative enterprise development.The method applied was Participatory Action Research (PAR), involving 20 seniors in Argosari Hamlet, Sedayu, Bantul, from problem identification to training in eco-printing and crafts, business management mentoring, and participatory evaluation. Results show significant improvement: 80% of participants produced simple products after training (compared to 25% before). They also gained additional monthly income of Rp150,000–Rp300,000 from local market sales.Beyond economic impact, RUJAK POLO strengthened community organization, self-confidence, and social bonds. The program supports active ageing, aligns with SDGs 8 and 11, and serves as a replicable best practice model.