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All Journal ComEngApp : Computer Engineering and Applications Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Scientific Journal of Informatics Jurnal Penelitian Pendidikan IPA (JPPIPA) JMM (Jurnal Masyarakat Mandiri) 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 Jurnal Ilmu Komputer dan Teknologi Informasi Strada Jurnal Ilmiah Kesehatan (SJIK)
Aldi Cahya Muhammad
Universitas Dian Nusantara
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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Other

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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 Budiman R Saragih; 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.
PEMBERDAYAAN MASYARAKAT MELALUI ENERGI BARU DAN TERBARUKAN UNTUK MEWUJUDKAN KOMUNITAS MANDIRI ENERGI Aldi Cahya Muhammad; Roiman Roiman; Yohanes Galih Adhiyoga; Arie Pangesti Aji
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 4 (2026): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i4.40366

Abstract

Abstrak: Tingginya ketergantungan terhadap bahan bakar fosil di era krisis energi global saat ini menuntut adanya langkah strategis untuk beralih ke sumber energi yang lebih ramah lingkungan, terutama di kawasan perdesaan yang masih terkendala oleh akses energi murah dan berkualitas. Implementasi pengabdian masyarakat ini krusial untuk dilaksanakan guna menstimulasi transformasi sosial-ekonomi di pedesaan, mengatasi hambatan kesejahteraan, serta berkontribusi nyata pada pencapaian SDGs Poin 7 terkait penyediaan energi bersih yang terjangkau. Kegiatan ini diorientasikan untuk memberdayakan kelompok lansia dalam membangun wilayah yang mandiri energi, melalui peningkatan aspek softskill berupa pemahaman manajerial EBT sekaligus hardskill dalam wujud kecakapan teknis pemeliharaan infrastruktur. Guna mencapai tujuan tersebut, diterapkan metode partisipatif yang mengombinasikan ceramah edukatif, Focus Group Discussion (FGD), serta praktik lapangan yang terintegrasi dengan analisis potensi energi lokal (surya, angin, dan biomassa). Program ini menyasar mitra strategis yang terdiri dari 20 orang lansia di bawah naungan Indonesia Ramah Lansia (IRL) Jawa Barat. Evaluasi keberhasilan program diukur secara komprehensif melalui penyebaran angket (pre-test dan post-test) serta observasi langsung terhadap performa mitra. Berdasarkan hasil evaluasi, intervensi ini terbukti efektif yang ditandai dengan melonjaknya pemahaman (softskill) peserta sebesar 42% serta peningkatan kecakapan teknis (hardskill) dalam merawat infrastruktur EBT mencapai 48%.Abstract: The high dependency on fossil fuels amid the current global energy crisis demands strategic efforts to transition toward more environmentally friendly energy sources, particularly in rural sectors that remain constrained by limited access to affordable and quality energy. This community service initiative is crucial to implement in order to stimulate socio-economic transformation in rural areas, overcome welfare barriers, and contribute tangibly to the achievement of SDGs Goal 7 regarding the provision of affordable and clean energy. This program is oriented toward empowering older adults to establish an energy-independent region by enhancing both soft skills (understanding of renewable energy management) and hard skills (technical proficiency in infrastructure maintenance). To achieve these objectives, a participatory methodology was deployed, combining educational lectures, Focus Group Discussions (FGDs), and hands-on field practices integrated with an analysis of local energy potential (solar, wind, and biomass). The program targeted strategic partners consisting of 20 older adults under the auspices of Indonesia Ramah Lansia (IRL) West Java. The success of the program was comprehensively evaluated through the administration of questionnaires (pre-test and post-test) and direct observation of the partners' performance. Based on the evaluation results, this intervention proved to be highly effective, as evidenced by a 42% surge in participants' understanding (soft skills) and a 48% increase in their technical proficiency (hard skills) in maintaining renewable energy infrastructure.
Audit Retrospektif Kinerja Chiller Tanpa Bas: Validasi Data Ultrasonik Portabel Dan Deteksi Anomali Yang Dapat Dijelaskan Aldi Cahya Muhammad; Budiman R Saragih; Rinto Dwi Pambela
Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 3 No. 2 (2026): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jikti.v3i2.2029

Abstract

Chillers in government buildings located in tropical climates often operate without a building automation system (BAS), making performance degradation difficult to detect through routine monitoring. This study reanalyzes the 2024 field measurement dataset for a 500 TR (R134a) water-cooled centrifugal chiller in a city government office without new data collection. The Isolation Forest model interpreted with permutation-based SHAP attribution marks instances of zero flow rate and surrounding reading changes, with residuals against local trends as the primary explanatory feature. Extended flatline segments following zero events are overlooked, complementing rather than replacing manual screening. The marking proportion ranges from 6.2% to 6.5% per session, adhering to a contamination parameter of 0.06. Pipe cross-section examinations restore stable diameters at three locations: 240 mm, 97.7 mm, and 450 mm, correcting a labeling error. Recalculated results show evaporator heat of 825.5 ± 79.7 kW and an actual COP of 3.75 ± 0.36 compared to a design COP of 5.76 at a measured load of 47.2% capacity. The energy balance deviation reaches 11.6%, exceeding the 5% threshold. This imbalance reflects combined uncertainty, with specific power at 0.94 kW/TR and a temperature difference of 1.3 °C, consistent with additional thermal resistance yet to be verified.
Co-Authors Arie Pangesti Aji Ariefka, Reza Arip Nurahman Arip Nurahman Aunzo, Jr., Rodulfo T. Budiman Nasution Budiman R Saragih 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 Rinto Dwi Pambela Roiman Roiman Ruben Cornelius Siagian Ruben Cornelius Siagian Ruben Cornelius Siagian Ruben Cornelius Siagian Siagian , Ruben Cornelius Siagian, Ruben Cornelius Sri Hernawati Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro winsyahputra Ritonga Winsyahputra Ritonga Yohanes Galih Adhiyoga