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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Biotechnology Berkala Penelitian Hayati Journal of Biomedical Science and Bioengineering International Journal of Health Science and Technology International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE) Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran
Rahman, Siti Fauziyah
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Indonesia, Depok 16424, West Java, Indonesia; Research Center Of Biomedical Engineering, Universitas Indonesia, Depok 16424, West Java, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Other

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Wiping out the covid-19 pandemic through bioinformatics: a review on database and web tools applications Nur Imaniati Sumantri; Nagisa Eremia Anju; Siti Fauziyah Rahman
JURNAL PENELITIAN BIOLOGI BERKALA PENELITIAN HAYATI Vol 26 No 2 (2021): June 2021
Publisher : The East Java Biological Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23869/bphjbr.26.2.20212

Abstract

The COVID-19 is an illness caused by SARS-CoV-2 that has ended up a widespread since March 2020 as declared by WHO. This condition gives a huge impact on miscellaneous sectors enforcing advance use of technology and information system, especially in scientific and medical community. Bioinformatics as a multidisciplinary method plays important role to overcome the COVID-19 outbreak in the early-stage through data exchange in virtual databases. There are a number of free access databases containing basic to complex information of SARS-CoV-2, such as genetic data sequence, epidemiology, evolutionary analysis, pharmacology, and so on. Bioinformatics allows us to analyze the data further to reveal new information applied in biomedical technology activities. Thus, bioinformatics helps the scientists, clinicians, and government learn the genomic characteristics of SARS-CoV-2, to trace the SARS-CoV-2 spread, and select and develop biomarker for reliable diagnostic tools, and design the drug and vaccine for SARS-CoV-2. This review aims to view insights on uses of bioinformatics methods and the databases related to SARS-CoV-2
Electrochemical Detection and Spectrophotometry of Dopamine using Commercial Screen-Printed Electrodes Eunike Thirza Hanita Christian; Basari Basari; Siti Fauziyah Rahman; Yudan Whulanza
Journal of Biomedical Science and Bioengineering Vol 2, No 1 (2022)
Publisher : Center for Biomechanics, Biomaterials, Biomechantronics and Biosignal Processing (CBOIM3S)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbiomes.2022.v2i1.7-13

Abstract

Lab-on-chip is miniaturized devices integrated into a chip which can run one or several analyses which are usually done in laboratory settings, such as biochemical detection. Dopamine is an important neurotransmitter which regulates hormones, control of movement, emotion, attention, and motivation. Excess, lack, and dysregulation of dopamine could cause numbers of diseases and disorders. The technique used to measure and evaluate dopamine usually are expensive to run, require longer time to run, require some technical qualification to run, require expensive equipments, and some are invasive to do. These are the reasons why a lab-on-chip system is needed to make the detection of dopamine concentration faster, easier, and more portable. This paper studied the accuracy of using electrochemical detection to measure the concentration of liquid specimens of dopamine compared to uv/vis spectrophotometry. Electrochemical detection method named cyclic voltammetry was chosen for this study. The hypothesis for this study is that both peak current (ip) and absorbance positively correlate to concentration, therefore both could be used with minimal error margin. For this study, the peak current (ip) and absorbance of different concentrations of liquid specimen of dopamine are measured, and its regression were observed. It was shown that the concentration of liquid specimens of dopamine is linear to both anodic peak current (ipa) and absorbance. Due to the high R2 values of 0.9883, electrochemical detection could be used and implemented to detect dopamine concentration for application of lab-on-chip, as it is more portable and requires less volume of sample compared to spectrophotometry.
Chronic rhinosinusitis on radiological examination: literature review Anshor Nugroho; Puspita Anggraini Katili; Siti Fauziyah Rahman
International Journal of Health Science and Technology Vol 4, No 2 (2022): November
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/ijhst.v4i2.2752

Abstract

Rhinosinusitis is a manifestation of the presence of inflammation in the nasal cavity and mucous membrane of the paranasal sinuses resulting in the formation of fluid or damage to the bone structures below. Radiological support examination in cases of rhinosinusitis can be done with conventional X-ray radiology examination of the paranasal sinuses, which can be combined with computed tomography (CT) or Magnetic Resonance Imaging (MRI) radiology examination. This study compares traditional imaging, CT scanning, and MRI in patients with chronic rhinosinusitis. A comprehensive literature review was employed in the study to locate, analyze and interpreting all information pertaining to chronic rhinosinusitis cases. The maxillaris, frontalis, ethmoidalis, and sphenoidalis sinuses with processus alveolar and petrous ridge can be seen without superposition on conventional x-rays. The complete paranasal sine and its surrounding anatomy can be seen with a CT scan, which has the best sensitivity and can show a difference in slice thickness of just 1 mm.  MRI examination can clearly distinguish between soft tissue and body fat and is used to support therapy in cases of rhinosinusitis and does not cause radiation. 
Face recognition in identifying genetic diseases: a progress review Salsabila Aurellia; Siti Fauziyah Rahman
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i3.pp1019-1025

Abstract

Genetic diseases vary widely. Practitioners often face the complexity of determining genetic diseases. In distinguishing one genetic disease from another, it is difficult to do without a thorough test on the patient or also known as genetic testing. However, in some previous studies, genetic diseases have unique physical characteristics in sufferers. This leads to detecting differences in these physical characteristics to assist doctors in diagnosing people with genetic diseases. In recent years, facial recognition research has been quite active. Researchers continue to develop it from various existing methods, algorithms, approaches, and databases where the application is applied in various fields, one of which is medical imagery. Face recognition is one of the options for identifying disease. The condition of a person's face can be said to be a representation of a person's health. Where the accuracy in early detection can be pretty good, so face recognition is also one of the solutions that can be used to identify various genetic diseases in collaboration with artificial intelligence. This article review will focus more on the development of facial recognition in 2-dimensional images, showing that different methods can produce different results and face recognition can also overcome complex genetic disease variations. 
Easy extraction of Ganoderma boninense liquid sample using portable on‐chip device Adella Josephin; Yudan Whulanza; Siti Fauziyah Rahman; Kenny Lischer; Muhammad Imam Surya; Irfan Martiansyah; Wiguna Rahman; Uda Hashim
Indonesian Journal of Biotechnology Vol 29, No 1 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.83645

Abstract

Detecting Ganoderma boninense in Indonesia is crucial for effectively controlling and mitigating the spread of basal stem disease in oil palm fields. While there is ongoing development of tolerant plants, no such plant has been successfully created yet. Consequently, researchers are actively studying detection methods for Ganoderma boninense. One established and highly accurate approach is the use of polymerase chain reaction (PCR) techniques for molecular detection. However, this method requires time‐consuming sample preparation, which can pose challenges in plantation settings. To address this problem, a portable lab‐on‐chip device has been introduced. This technology enables easy and automatic DNA retrieval from liquid samples by absorbing lysed DNA using magnetic beads. An efficient mechanism for manipulating the magnetic bead within the semiconductor has been successfully implemented. The extraction process typically takes around 15 minutes using a modified methodology on the chip device approach. The chip facilitates the retrieval of two samples with a capacity of 120 µL for each sample. The PCR method was utilized to validate the equivalence of the lab‐on‐chip device extraction to the standard extraction method. This represents a promising alternative for expedited and simplified detection of Ganoderma boninense in field conditions.
Exploring the Potential of Electrospun Polymers for High-Performance Dental Composite: A Mini Review Sudiyasari, Nadiya; Rahman, Siti Fauziyah
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 4 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i4.91

Abstract

Dental resin composite is the most common material used in dentistry. Resin composite refers to combination of two or more materials that typically consists of matrix polymers, fillers, and a coupling agent. Fillers are essential in composites, as their presence significantly improves the material's hardness. However, beside its excellent mechanical properties, Resin composite also has several limitations, including polymerization shrinkage, a high coefficient of thermal expansion, and low wear resistance. Adding reinforcement materials such as electrospun fiber to composite fillers has shown improvement of its mechanical properties. Electrospun fiber refers to a fiber that produced through electrospinning methods. There are various types polymers used in electrospinning fabrication, such as Poly(methyl methacrylate) (PMMA), Polyacrylonitrile (PAN), Polyether ether ketone (PEEK), Polyvinyl alcohol (PVA), Polycaprolactone (PCL), and Polylactic acid (PLA). The electrospinning method utilizes a high-voltage electrical source applied to these polymer solution. Electrical voltage will initiate the formation of droplets that then elongate to form fibers. Electrospun fibers have versatile applications in dentistry and can be used as a reinforcing agent for dental composite restorations. Therefore, electrospun fibers has a lot of promising potential in dentistry, as they can produce materials with excellent mechanical properties by using a simple and efficient method.
Synthesis of Fibrin Clot from Fibrinogen Platelet Rich Plasma (PRP) for Scaffold Applications Rahman, Siti Fauziyah
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v1i1.11

Abstract

Platelet-rich plasma (PRP), which contains fibrinogen, is activated by the addition of thrombin and calcium chloride to create fibrin clots. Fibrin is a natural biopolymer that can be applied for medical applications. This study aims to synthesize fibrin clots from fibrinogen platelet-rich plasma for scaffold applications. The optimum amount of fibrin clot can be obtained by varying the ratio of PRP to a mixture of CaCl2 with the variation of 9:1, 10:1, and 11:1. The highest fibrin clot produced was 5.925 ml with 5.5% CaCl2.
Conductive Smart Scaffold for Electrochemical Sensing in Bone Tissue Engineering Applications: A Review Rusyda Fajarani; Siti Fauziyah Rahman; Armelia Ramandha
Rekayasa Vol. 24 No. 1 (2026)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v24i1.43191

Abstract

Tissue engineering technology using biomaterial-based scaffolds has been developed to support and regulate cellular activities, including cell adhesion, proliferation, migration, and the differentiation of electrically excitable cells through the incorporation of conductive materials. Conductive smart scaffolds have emerged as a promising platform for bone tissue engineering by integrating structural support with electrochemical sensing capabilities. Recent advances have enabled the development of conductive scaffolds integrated with electrochemical sensing systems for real-time, non-invasive monitoring of cellular behavior during bone regeneration. This review analyzes recent developments in electroactive conductive scaffolds and scaffold-based electrochemical sensing platforms for bone tissue engineering applications. A comprehensive literature review was conducted across major scientific databases to identify studies related to scaffold composition, conductive materials, electrochemical characterization methods, sensing strategies, and associated biological responses. The reviewed studies demonstrate that conductive polymers and carbon-based nanomaterials are widely used to enhance scaffold electroactivity and osteogenic performance. Electrochemical characterization techniques, including Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS), are commonly employed to evaluate scaffold conductivity, redox behavior, and electrochemical stability. Furthermore, conductive scaffold-based electrochemical sensing systems have been successfully applied to monitor cell viability, adhesion, proliferation, mineralization, and osteogenic differentiation in a label-free, non-destructive manner. The integration of conductive biomaterials with electrochemical sensing platforms enables precise monitoring of cellular activities through changes in electrical signals, impedance, and electrochemical responses. Overall, conductive smart scaffolds represent a promising multifunctional strategy for advancing bone tissue engineering by combining biocompatibility, electroactivity, regenerative capability, and real-time biosensing within a single scaffold system.
Co-Authors Adella Josephin Anshor Nugroho Armelia Ramandha Basari Basari Eunike Thirza Hanita Christian Irfan Martiansyah Lischer, Kenny Muhammad Imam Surya Nagisa Eremia Anju Nur Imaniati Sumantri Puspita Anggraini Katili Rusyda Fajarani Salsabila Aurellia Sudiyasari, Nadiya Uda Hashim Wiguna Rahman Yudan Whulanza