Claim Missing Document
Check
Articles

Found 3 Documents
Search

Solution of Klein-Gordon Equation in F(R) Theory of Gravity Romadani, Arista
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 12 No 1 (2023): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v12i1.15340

Abstract

The  theory, as a modification of the general relativity theory, is frequently employed as an alternative theory of gravity and offers a promising avenue for addressing the challenges of formulating a quantum gravity theory. In this study, by applying the separation method of time, radial and angular variables, we derived the general solution of the Klein-Gordon equation in a curved space-time using modified Schwarzschild metric. We modified Ricci scalar  form in Einstein’s action principle as a general function of Ricci scalar  and formulated the general Schwarzschild metric. The solution of the time function was analytically obtained in exponential form, and the solution of the angular function in terms of Legendre polynomial depends on azimuthal and magnetic quantum numbers. The radial function in terms of a non-linear second-order differential equation was solved by a numerical method using Python. The solutions described the gravitational effect for a light particle on the area gravitationally has a strong interaction, represented by a spherically symmetric metric. For small  (in Schwarzschild radius), the results analytically show that the gravitational effect in this region is massive. It follows that even light would be drawn into a black hole and unable to escape. For further research, it is expected to extend the Klein-Gordon equation in relativistic quantum mechanics to modified general relativity theory. This theory offers a different way of looking at the effects of gravity in quantum field theory.
Internet of things-based water quality monitoring design to improve freshwater lobster farming management Muthmainnah, Muthmainnah; Khasanah, Iva Khuzaini; Hananto, Farid Samsu; Romadani, Arista; Tazi, Imam; Mulyono, Agus; Tirono, Mokhamad
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3717-3726

Abstract

The development of lobster farming requires careful water quality monitoring to ensure optimal growth and health. This study introduces a novel internet of things (IoT)-based water quality monitoring system designed specifically for lobster farming applications, operating on the Antares IoT platform. The system incorporates pH, temperature, and turbidity sensors to measure critical water quality parameters. The sensors were calibrated and validated using standard methods, yielding high accuracy, with average values of 98.74% for pH, 98.78% for temperature, and 98.56% for turbidity. The study also involved direct monitoring over five days, with pH values ranging between 8-10, temperatures between 23-27°C, and stable turbidity at 90-99 NTU. The novelty of this system lies in its ability to provide real-time, reliable data and predictive analysis to support effective water quality management in lobster farming. Unlike traditional water quality monitoring systems that lack real-time data analysis or predictive capabilities, this system integrates both monitoring and forecasting features, allowing for more proactive management. Additionally, it offers higher accuracy and lower sensor drift compared to older, manual water quality monitoring methods. Experimental results indicate that the proposed monitoring system can deliver accurate and reliable data, supporting optimal farming conditions. These findings align with and expand upon existing literature, offering a more integrated and efficient solution for real-time and accurate monitoring in lobster farming.
The Role of Carbon Pricing in Accelerating Energy Transition: A Case Study of Indonesia's Industrial Processes and Product Use (IPPU) Sector Alwaaritsy, Nurin; Romadani, Arista
Indonesian Journal of Energy Vol. 8 No. 2 (2025): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Carbon pricing serves as an effective economic instrument to mitigate greenhouse gas emissions while fostering investment in renewable energy by reducing dependence on fossil fuels. This study examines the development of carbon pricing policies to accelerate the energy transition, focusing on the Industrial Processes and Product Use (IPPU) sector. The proposed scheme is based on the Emissions Trading Scheme (ETS), tailored to local regulations and industrial capacities. This research employs a systematic review and content analysis of successfully implemented carbon pricing policies in various countries. While carbon pricing has been applied in the energy and forestry sectors, existing studies often lack specificity regarding emission thresholds or quantified carbon values across different emission sources. The IPPU sector, despite being a significant emitter, remains underrepresented in current policy design and academic literature. The findings indicate that carbon commercialisation supports renewable energy transition projects and increases investment in the electricity sector. This study proposes a carbon credit scheme tailored to the Indonesian wood industry (referred to as Industry X), which has begun integrating biomass and bioenergy to compensate for fossil-based emissions. The novelty of this study lies in its targeted focus on the IPPU sector and the practical application of a carbon pricing framework for industrial decarbonisation. The results suggest that integrating carbon pricing with fiscal incentives and energy regulations enhances industrial competitiveness in transitioning to clean energy. This study provides policy recommendations to improve carbon pricing mechanisms, supporting renewable energy investment and sustainable industrial transformation.