Jurnal Sains

Studi Kasus Kualitas Air Sungai Way Kandis Kecamatan Jati Agung, Kota Bandar Lampung

2025-07-19T21:45:17+07:00

Abstract :River is one form of natural ecosystem especially Way Kandis River in Jati Agung sub-district, pH is an abbreviation of pH potential of hydrogen which means the degree of acidity used to express the level of acidity or alkalinity. The degree of acidity (pH) potential of hydrogen is one of the important factors in bacterial growth, this affects the high and low density of bacteria produced. The minimum and maximum pH values for bacterial growth in general are 4-9, but the optimal pH ranges from 6.5-7.5, checking the pH using litmus paper and using a water sample tool used electrolysis (water electroeliezer) with water analysis looking at the color changes of each sample

Bilangan Kromatik Lokasi Disjoint Union Graf Barbel Shadow Lintasan

2025-08-21T21:38:26+07:00

This study investigates the locating chromatic number of the disjoint union of barbell shadow path graphs. The locating chromatic number is a variation of the classical chromatic number, ensuring not only that adjacent vertices receive different colors but also that every vertex can be uniquely distinguished through its color code with respect to all color classes. The research focuses on determining the locating chromatic number for the disjoint union of barbell shadow path graphs with , odd , with . The proof method involves analyzing the graph structure, defining vertex and edge sets, and constructing consistent color codes for all vertices. The results demonstrate that the locating chromatic number of all such graphs is consistently equal to 6. This finding indicates that the complexity of barbell shadow path graph structures does not increase the required number of colors in the disjoint union case. Therefore, the research contributes to strengthening the theory of locating coloring in graphs and provides potential applications in network analysis, coding theory, and optimization systems that require unique identification based on graph structures.

Pengujian Kualitas Minyak Goreng Melalui Pengujian Indeks Bias Minyak Dengan Metode Difraksi Fraunhofer

2025-07-16T22:20:42+07:00

Telah dilakukan penelitian tentang pengujian kualitas minyak goreng kemasan melalui indeks bias minyak dengan metode difraksi Fraunhofer. Penelitian ini menggunakan dua sampel minyak goreng kemasan yang di tandai dengan sampel A dan sampel B. Tujuan dari penelitian ini untuk mengetahui indeks bias minyak goreng kemasan yang baik bagi kesehatan. Data yang peroleh diolah dengan analisis data dan metode regresi linier. Berdasarkan analisis data penelitian menunjukan bahwa indeks bias minyak goreng dengan sampel A diperoleh hasil 1,4 dan sampel B diperoleh hasil 1,4. Hal ini menunjukan bahwa kedua sampel minyak goreng kemasan tersebut dalam kategori baik untuk kesehatan.

A Revolutionizing Pneumonia Diagnostics: A Systematic Review of Deep Learning Applications in Chest Radiography

2025-06-26T03:37:12+07:00

Pneumonia remains a leading cause of global morbidity and mortality, particularly in vulnerable populations such as children and the elderly. Early and accurate diagnosis is crucial, but is often hampered by the scarcity of trained radiologists and the inherent subjectivity in chest X-ray (CXR) image interpretation. In recent years, the rapid advancement of deep learning (DL), especially Convolutional Neural Networks (CNNs), has presented transformative solutions to these challenges. This systematic literature review (SLR) thoroughly analyzes twelve primary studies exploring the application of DL models for pneumonia detection from CXR images. Through a rigorous SLR methodology, these studies were identified, evaluated, and synthesized. Results indicate that DL models, whether built from scratch or based on transfer learning, are capable of achieving very high diagnostic accuracy, often surpassing or matching the performance of human radiologists. The discussion highlights key findings, addresses the formulated research questions, and identifies existing study limitations. The conclusion affirms the significant potential of DL in revolutionizing pneumonia diagnostics, and outlines future research directions to enhance the generalization, interpretability, and implementation of DL models in daily clinical practice.