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Physical Sciences, Life Science and Engineering
Published by Indonesian Journal Publisher
ISSN : -     EISSN : 30319021     DOI : https://doi.org.10.47134/pslse
Core Subject : Humanities, Science, Social, Engineering,
Humanities Engineering Physics Social Sciences
Explore the Physical Sciences, Life Science and Engineering. This section accommodates research papers that aim to present the practical aspects of certain theoretical hypotheses reflected through empirical approach to problemsolving, systematic methodology that guarantee the validity of research results, expert opinions, sophisticated utilization of devices in a variety of field of studies such as in physics, geography and engineering. Focus and Scope: Remote Sensing, Chemistry, Cartography, Geographic Information Systems, Astrophysics, Nuclear Physics, Applied Physics, Geophysics, Applied Mathematics, Environmental Science, Geology, Astronomy, Earth, Science, Aerospace, Computer Science, Applied Engineering and Material Science.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol. 2 No. 3 (2025): June" : 12 Documents clear
Classification Of Heart Disease Using Feature Selection and Machine Learning Techniques Sondos Jameel Mukhyber
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.386

Abstract

Heart disease is a complex disease that affects a large number of people worldwide. The timely and accurate detection of heart disease is critical in healthcare, particularly in the field of cardiology. In various fields around the world, machine learning is used. There are no exceptions in the healthcare sector. Machine learning can be crucial in determining whether or not there will be locomotor abnormalities, heart ailments, and other conditions. If foreseen far in advance, such information can offer crucial intuitions to doctors, who can then modify their diagnosis and approach per patient. in this paper it has been used a variety of machine learning techniques and used the heart disease dataset to evaluate its performance using different metrics for evaluation, such as accuracy, precision, recall ,and F-measure. For this purpose, it has been used five classifiers of machine learning such as Support Vector Machine, Gaussian Naïve Bayes, Decision Trees, Artificial Neural Network, and Logistic Regression. Furthermore, it has been check their accuracy on the standard heart disease dataset by performing certain pre-processing of dataset, and feature section. Finally, the experimental result indicated that the accuracy of the prediction classifiers.
Unveiling The Role of Artificial Intelligence In Optimizing Training And Development Strategies For The Oil Sector Al-Fatlawi, Hassan; Khayoon, Qaeser; Al-Rubaye, Mohammed
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.387

Abstract

This study investigates at how artificial intelligence, or simulated intelligence, is helping the oil and Gas industry improve its methods for training and development. As the companies deal with growing challenges and technological obstacles, enhancing personnel capabilities becomes essential for realistic growth and operational efficiency. This study sheds light on how computer-based intelligence-driven systems provide personalized training modules, tailored learning experiences, and ongoing performance evaluations by means of a thorough investigation of simulated intelligence applications, such as machine learning, natural language processing, and predictive analysis. Oil and gas companies may control artificial intelligence to bridge capability gaps, enhance security protocols, and streamline workflows. This research also looks at the potential challenges and ethical considerations associated with the use of simulated intelligence in training and development initiatives. In general, the oil industry can adapt to changing market needs and foster a culture of continuous learning by adopting computer-based intelligence advancements, ensuring a skilled and adaptable workforce for any challenges that may arise in the future.
Exploring the Principles of GC-MS: Techniques and Applications Khalifea, Hassan; Ali, Noor
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.388

Abstract

GC-MS operates as a robust analytical method that chemistry labs commonly use because it effectively separates chemicals while identifying their components with precise accuracy. Research instruments like GC-MS provide high quality separation and molecular identification which makes them indispensable for environmental studies as well as pharmaceutical insights and forensic investigations and quality control applications. Extensive usage of GC-MS remains incomplete because researchers must develop an organized framework which illustrates system elements and their supporting functions together with application boundaries. The main objective of this research is to establish a systematic examination of GC-MS core functioning and equipment alongside examining operational details and system constraints. The research shows how GC-MS components including injectors, columns, ionization techniques, mass analyzers and detectors function together to achieve optimal performance results. The research presents current uses of GC-MS in environmental monitoring and pharmaceutical analysis and forensic science through methodological examples while supplying reference spectra. This comprehensive study combines GC-MS principles with practice to provide a unified framework which includes reviews regarding recently developed hyphenated methods and ionization approaches and column development. The research results function as a useful guide for scientists as well as practitioners to help them select systems properly and develop methods and advance GC-MS systems for intricate analytical tasks.
Software Classification and Detection of Communication Signals Using Artificial Neural Networks AL Ezz, Ali Arkan; Sharis, Nada; Al Salb, Firas M
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.398

Abstract

Spectrum distribution and channel detection have long been seen as an impending addition to intelligent radios for wireless communications systems with permit-free groups. Standard approaches have been put forth to handle periodic scanning as a signal characterization technique for applications where carrier frequencies and transmission speeds are unclear, despite the fact that it is computationally complex and requires a considerable amount of realization time to implement satisfactorily. Only in situations where the baseband signal is accessible have Artificial Neural Networks (ANN) been used for signal categorization. By combining these processes, a more reliable and efficient classifier might be produced, reducing the need for web-based computation in situations when a large amount of preparation is done separately. In order to test and classify mixed signals of QPSK and MSK modulation under noise, we use a new check-out signal classification method in this study that combines FFT spectral analysis with neural networks. The ANN methodology describes how to provide this method. The findings indicated that the LM function achieved the most favorable results, yielding optimal probability values of Pd at 0.991 and Pfa at 0.005, when using 10 neurons in the hidden layer.
Determination of Hydrodynamic Activity of Ground Water for Um Er Radhuma Aquifer in Al-Salman District, Southern Iraq Al-Qaraghuli, Shahad
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.416

Abstract

Six wells’ samples were collected from Umm Er Radthuma aquafer distributed in the region in Al-Salman district, Al-Muthana governorate in the southern part of Iraq during November 2024 and it’s compared with four wells samples collected from the same region during year 2010. Umm Er Radhuma formation is represented the major aquifers and the type is a confined aquafer. The samples of ground water were examined for major cations and anions, PH, total dissolved solids (TDS) and electrical conductivity (EC). The hydro-chemical analysis results obtained from the examined ground water samples are generally alkaline, very hard water, classified a brackish water and the excessively mineralized water. The concentration of anions and cations in the water samples indicate the dominant of Sodium ion in the cations, while the sulphate was the main anion for year 2024 and chloride anion for the year 2010 with increase all the anions and cations values during 2024. The ground water wells are a continental origin except well 3 is marine origin. Therefore, Bojarski method application shows that the all-wells samples have high hydrodynamic activity so that the hydro-carbonic accumulation is a low except well 3 have a low hydrodynamic activity and the hydrocarbon accumulations were high effect. The water type according to Kurolov formula is Na2SO4 in the most wells except well 3 is NaCl. The ground water of Al- Salman region has indicated that the sulphate group is dominated
Analysis of Potential Work Hazard Risk in the Development of the Road Project Using the HIRARC and FTA Methods Manurung, Liza Olivia; Putra, I Nyoman Dita Pahang; Widowati, Elok Dewi
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.417

Abstract

Risk refers to a situation with potential loss or the chance of a loss. Every stage in the construction process inevitably carries potential risk hazards that can threaten the safety of workers, the environment, and the surrounding community. Therefore, a study was conducted to analyse possible risks during mobilising heavy equipment and material vehicles, excavation and embankment work, and blasting work in the X Road construction project.  This study employed two methods for risk analysis. The first method involved identifying types of work-related accidents using the HIRARC approach, which included distributing questionnaires to assess each variable's likelihood and severity levels to determine the most significant risk. Then, control measures were applied to the identified risks. After implementing the control measures, a risk reassessment was conducted to assess the level of risk post-control. The identification revealed one dominant variable: heavy equipment overturning from a height. Thus, the analysis continued using the second FTA method to determine the causal factors influencing the risk. The risk was caused by three main factors: human, environmental, and managerial factors, and ten basic events leading to the risk were identified.
Transformasi Energi Hijau: Studi Implementasi Pembangkit Listrik Tenaga Surya di Kampus “X” Evelyn Agustin; Daniel Marcello; Jonathan Oktavianus; Theresa Alycia Tambunan; Gabriella Angelica Chrisyanto; Vito Kennedy; Gres Merita Amay Herianti
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.424

Abstract

Penelitian ini bertujuan untuk menganalisis potensi, efisiensi, dan dampak lingkungan dari penerapan Pembangkit Listrik Tenaga Surya (PLTS) di kampus “X” sebagai sumber energi alternatif yang ramah lingkungan. Metode yang digunakan dalam studi ini adalah analisis data sekunder yang diperoleh dari studi literatur, pengamatan terhadap sistem PLTS, serta pembandingan dengan penggunaan listrik konvensional dari PLN. Hasil penelitian menunjukkan bahwa integrasi PLTS dengan sistem listrik PLN menghasilkan penghematan rata-rata sebesar 35% per bulan terhadap biaya listrik. Dari sisi emisi, PLTS menghasilkan sekitar 4.500 kg CO₂/kWh per bulan, jauh lebih rendah dibandingkan listrik PLN yang mencapai lebih dari 21.000 kg CO₂/kWh pada bulan yang sama. Sementara dari sisi biaya operasional selama enam bulan, PLTS hanya mengeluarkan Rp 680.000, dibandingkan dengan listrik PLN yang mencapai Rp 40.183.990. Meskipun investasi awal PLTS sebesar Rp 18.550.000 cukup tinggi, dalam jangka panjang teknologi ini terbukti lebih hemat dan ramah lingkungan. Kesimpulannya, PLTS merupakan solusi energi yang efisien, ekonomis, dan mendukung pengurangan emisi karbon di lingkungan kampus
Meningkatkan Akurasi Penetapan Biaya Produksi: Studi Kasus Perbandingan Job Costing dan ABC pada UMKM Pempek Lena Evelyn Agustin; Seli; Daniel Marcello; Indra Wijaya; Jean Josh Hung; Andres Christian Aritonang; Sela; Joheri Fransiski
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.425

Abstract

Penelitian ini bertujuan untuk membandingkan perhitungan Harga Pokok Produksi (HPP) pada UMKM Pempek Lena menggunakan metode Job Costing dan Activity-Based Costing (ABC). Metode penelitian yang digunakan adalah pendekatan kuantitatif deskriptif dengan pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil menunjukkan bahwa metode Job Costing menghasilkan HPP yang lebih sederhana, seperti Pempek Kapal Selam sebesar Rp6.750, sedangkan metode ABC menghasilkan HPP lebih akurat, seperti Rp7.150 untuk produk yang sama. Kesimpulannya, metode ABC lebih tepat untuk menggambarkan konsumsi biaya yang sebenarnya dan direkomendasikan bagi UMKM dalam pengambilan keputusan biaya
Analisis Intensitas Cahaya Pada Area Produksi Terhadap Kenyamanan dan Efektivitas Kerja Sesuai Dengan Standar Pencahayaan Heri Setiawan; Crisantus Abel Cato Hutajulu; Vincensius Dika Ivanda; Wahyuni Tesy Anggara; Adrian Tanaka; Damian Bactiar Situmorang; Jovanda Tri Wardana
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.428

Abstract

Penelitian ini bertujuan untuk menganalisis intensitas pencahayaan di area produksi PT. Kerupuk XYZ dan menilai kesesuaiannya dengan standar pencahayaan kerja berdasarkan SNI 16-7062-2023. Metode yang digunakan meliputi pengukuran langsung menggunakan lux meter digital serta observasi kondisi distribusi cahaya di delapan area kerja, seperti pengadonan, pencetakan, penggorengan, pengemasan, gudang, ruang istirahat, dan area penerimaan bahan baku. Pengukuran dilakukan saat kondisi kerja normal dan dibandingkan dengan standar yang berlaku. Hasil penelitian menunjukkan bahwa tiga area memiliki pencahayaan di bawah standar (pengadonan, penggorengan, dan gudang), satu area memiliki pencahayaan berlebih (ruang istirahat), dan empat area telah sesuai standar. Kesimpulan dari penelitian ini menegaskan pentingnya evaluasi dan perbaikan sistem pencahayaan untuk mendukung efektivitas kerja dan kenyamanan visual karyawan
Analisis Kenyamanan Ergonomis Penggunaan Hydropad untuk Mengurangi Masalah Musculoskeletal pada Pengemudi Ojek Online Setiawan, Heri; Aurelia, Callysta; Prasetyo, Thomas; Mandola, Ferdianto; Mobry, Shella; Hidayat, Wahyu
Physical Sciences, Life Science and Engineering Vol. 2 No. 3 (2025): June
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v2i3.430

Abstract

Pekerjaan sebagai pengemudi ojek online di Indonesia sering menimbulkan keluhan musculoskeletal akibat duduk dalam waktu lama tanpa dukungan postur tubuh yang baik. Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan hydropad sebagai alat bantu duduk ergonomis dalam mengurangi keluhan fisik dan meningkatkan kenyamanan pengemudi. Metode yang digunakan adalah quasi-experimental dengan desain pre-test dan post-test tanpa kelompok kontrol. Tiga pengemudi ojek online dipilih sebagai responden menggunakan teknik purposive sampling. Instrumen penelitian meliputi kuesioner Nordic Body Map (NBM) dan skala kenyamanan berbasis Likert. Intervensi berlangsung selama 14 hari, dan data dianalisis menggunakan paired t-test. Hasil penelitian menunjukkan penurunan skor keluhan musculoskeletal dari rentang 7–9 menjadi 3–5, serta peningkatan skor kenyamanan dari 2–3 menjadi 4–5. Hydropad terbukti efektif dalam mendistribusikan tekanan tubuh secara merata, meredam getaran, dan meningkatkan postur duduk. Kesimpulannya, hydropad berpotensi menjadi solusi ergonomis yang mendukung kesejahteraan kerja pengemudi ojek online.

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