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All Journal ComEngApp : Computer Engineering and Applications Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Scientific Journal of Informatics Journal of Mechanical Engineering Science and Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Physics and Its Applications Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Ilmu Fisika Eksakta : Berkala Ilmiah Bidang MIPA Kappa Journal Indonesian Review of Physics (IRiP) Journal of Embedded Systems, Security and Intelligent Systems Wahana Fisika : Jurnal Fisika dan Terapannya Strada Jurnal Ilmiah Kesehatan (SJIK)
Aldi Cahya Muhammad
Department Of Electrical And Electronic Engineering, Islamic University Of Technology, Gazipur, Bangladesh
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Earth & Planetary Sciences Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Other

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Exploring Cosmological Dynamics: From FLRW Universe to Cosmic Microwave Background Fluctuations Nasution, Budiman; Ritonga, Winsyahputra; Siagian, Ruben Cornelius; Harahap, Veryyon; Alfaris, Lulut; Muhammad, Aldi Cahya; Laeiq, Nazish
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 04 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol23-iss04/427

Abstract

This study explores key aspects of cosmology, starting with the foundational FLRW equations that describe the universe's evolution, emphasizing its homogeneity and isotropy. We incorporate mass viscosity into these equations, shedding light on its role in shaping the universe. Observations of Type Ia supernovae inform our understanding of cosmological parameters, including the Hubble rate and dark energy's effects on cosmic expansion. Cosmic Microwave Background fluctuations are analyzed for insights into cosmic structure. Baryon Acoustic Oscillations provide additional data for estimating critical parameters. We also examine the Hubble Parameter to understand its relation to cosmological parameters. Lastly, we introduce statefinder analysis, unveiling the universe's behavior through key indicators like "r" and "s." This study offers comprehensive insights into cosmology and the universe's evolution.
Risk Factors for Contamination of Pesticide Residues in Women's Breast Milk Farmers in Agricultural Ar-eas Intan Rachmawati; Sri Hernawati; Erma Sulistyaningsih; Aldi Cahya Muhammad
STRADA : Jurnal Ilmiah Kesehatan Vol. 10 No. 1 (2021): May
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/sjik.v10i1.675

Abstract

Pesticides are all chemicals, serve as controls for pests and weeds' growth. This study aimed to identify the pesticide residue contamination in women farmers' breast milk in agricultural areas and analyze the risk factors. Quantitative descriptive research method with cross-sectional approach. A sample of 10 female farmers was selected using the purposive sampling technique. Data on risk factors were obtained by interview using a questionnaire, and pesticide residues in breast milk were measured by GC-MS/MS and LC-MS/MS. Spearman rank correlation tests and ordinal logistic regression are used to analyze data. The results showed that all of the respondents' breast milk was contaminated with organochlorine pesticide p'p DDE (> 0.001 mg/kg). Statistical test results prove that nutritional status / BMI with pesticide residue concentration has a significant relationship (p-value = 0.000). In conclusion, excess body mass index is a risk factor for pesticide residue contamination in female farmers in agricultural areas.
Nonparametric Regression Analysis of BE4DBE2 Relationship with n and z Variables using Naive Bayes and SVM Classification on Nuclear Data Siagian, Ruben Cornelius; Alfaris, Lulut; Muhammad, Aldi Cahya; Nyuswantoro, Ukta Indra Nyuswantoro; Rancak, Gendewa Tunas
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 3 (2023)
Publisher : Universitas Sriwijaya

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

Abstract

This research article describes several analyses of nuclear data using various statistical methods. The first analysis uses linear regression to investigate the relationship between the independent variables (n and z) and the response variable (BE4DBE2). The second analysis uses a nonparametric regression model to overcome the assumptions of normality and linearity in the data. The third analysis uses the Naive Bayes method to classify nuclear data based on variables n and z. The fourth analysis uses a decision tree to classify nuclear data based on the same variables. Finally, the article describes an SVM analysis and a K-means analysis to classify and group nuclide data. The article presents clear and organized descriptions of each analysis, including visual representations of the results. The findings of each analysis are discussed, providing valuable insights into the relationships between the variables and the response variable. The article demonstrates the usefulness of statistical methods in analyzing nuclear data.
Separation of Variables Method in Solving Partial Differential Equations and Investigating the Relationship between Gravitational Field Tensor and Energy-Momentum Tensor in Einstein's Theory of Gravity Siagian, Ruben Cornelius; Alfaris, Lulut; Nurahman, Arip; Muhammad, Aldi Cahya; Nyuswantoro, Ukta Indra; Nasution, Budiman
Kappa Journal Vol 7 No 2 (2023): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i2.20921

Abstract

This research delves into the study of partial differential equations (PDEs) and gravitational fields in spacetime. It focuses on solving PDEs using the Separation of Variables method and explores the relationship between the gravitational field tensor and the energy-momentum tensor, leading to the final equation for the gravitational field tensor. The research also investigates Einstein's theory of gravity and the energy-momentum tensor integral, providing the general solution for the gravitational potential and its implications. Additionally, the mean integration of the gravitational wave tensor is analyzed, yielding an expression for the tensor strain of gravitational waves over an infinitely long period. The components of the gravitational wave tensor and their effect on gravitational sources are examined. Furthermore, the propagation of electromagnetic fields in spacetime is studied using the Retarded Green's Function. The primary objectives of this research are to understand and explore mathematical techniques for solving PDEs and analyzing gravitational fields and their interactions in spacetime. The integration of multiple theoretical concepts related to PDEs, gravitational fields, and electromagnetic fields enhances our understanding of fundamental physics principles. This contributes to the advancement of theoretical physics and opens avenues for potential practical applications, such as gravitational wave detection and electromagnetic field propagation in complex media. In conclusion, this research provides valuable insights into fundamental physics principles and fosters a deeper understanding of their interconnections and implications
Energy Audit Integrated with Fuzzy Neural Network Predictive Maintenance for Central Chillers Saragih, Budiman R; Aldi Cahya Muhammad
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.10857

Abstract

Because central chiller systems significantly affect electricity usage in office buildings, predictive maintenance and energy audits would be important to increase efficiency. This research analyzes the data from the thermodynamic audit and the central chillers and the monthly electricity usage to assess the energy performance of the East Jakarta Mayor's Office Building A for the years 2023-2024. Based on the Building A, in 2024, the total estimated electrical consumption will be 2,019,550 kWh. This results in total energy use intensity of 106.9 kWh/m²/year. Based on the estimated data, the HVAC systems use more than half of the total electrical consumption. The simulations show, for the data provided, the energy efficiency measures have a saving potential of approximately 728,847 kWh/year which equals 36.1% on a total consumption of 2,019,550 which would also save 36.2% of 1.26 billion/year. The total energy use intensity would be reduced to 90.5 kWh/m²/year, with the emission reduction of approximately 604.9 tCO₂e/year. Based on the consumed data and the paired t test on the 12 sampled data the results would show, with p value < 0.001, a 97,438 kWh/month average reduction in electrical consumption in the 2023-2024 years, which shows a correlation in the expected data with operational and standard fix measures. The Fuzzy Neural Network is, and can be used with other data to show other measures of predictive maintenance rather than the conventional audit based measures used.
Co-Authors Ariefka, Reza Arip Nurahman Arip Nurahman Aunzo, Jr., Rodulfo T. Budiman Nasution Dolfie Paulus Pandara Erma Sulistyaningsih Firdaus, Anas Noor Froilan Delute Mobo Gendewa Tunas Rancak Gendewa Tunas Rancak Ghulab Nabi Ahmad Harahap, Veryyon Hassan, Rohana Intan Rachmawati Laeiq, Nazish Lulut Alfaris Nazish Laeiq Nazish Laeiq Nurahman, Arip Nyuswantoro, Ukta Indra Nyuswantoro, Ukta Indra Nyuswantoro Pandara, Dolfie Paulus Rancak, Gendewa Tunas Ruben Cornelius Siagian Ruben Cornelius Siagian Ruben Cornelius Siagian Ruben Cornelius Siagian Saragih, Budiman R Siagian , Ruben Cornelius Siagian, Ruben Cornelius Sri Hernawati Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro Winsyahputra Ritonga winsyahputra Ritonga