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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknik Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Elektronika dan Telekomunikasi Journal of Biomedical Science and Bioengineering Makara Journal of Technology Jurnal Pendidikan Indonesia (Japendi) Eduprof
Basari Basari
Department Of Electrical Engineering, Universitas Indonesia, Depok 16424, Indonesia
Religion Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering

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Pengembangan Antena Mikrostrip Susun untuk Radar Pengawas Pantai Zulkiflia, Fitri Yuli; Wahyu, Yuyu; -, Basari; Raharjo, Eko Tjipto
Jurnal Elektronika dan Telekomunikasi Vol 13, No 2 (2013)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.641 KB) | DOI: 10.14203/jet.v13.55-59

Abstract

Makalah ini membahas pengembangan antena mikrostrip yang disusun secara linier sebanyak empat elemen untuk aplikasi radar pengawas pantai. Teknik pencatuan yang digunakan untuk mencatu antena susun ini adalah proximity coupled. Desain antena menggunakan software CST microwave studio dan dirancang untuk bekerja di frekuensi 9,4 GHz. Hasil simulasi memperlihatkan impedance bandwidth antena pada return loss ≤ -9,54 dB adalah 760 MHz dari  9,34-10,1 GHz dan dari  hasil ukur  adalah 860 MHz dari frekuensi  9,35-10,21 GHz. Di samping itu, hasil simulasi menunjukkan half power beamwidth (HPBW) pada phi=0 sebesar 23,7o dengan sidelobe level (SLL) sebesar -12,03 dB, sementara pada phi=90 diperoleh  HPBW sebesar 77,2o dengan SLL tertekan sampai -19,78 dB. Sebagai tambahan, gain dari antena diperoleh sebesar 11,33 dB.  Adapun  hasil pengukuran menunjukkan hasil HPBW pada phi=0 sebesar 20o dengan SLL  sebesar -18,9 dB dan pada phi=90 diperoleh HPBW sebesar 65o dengan SLL -15,51 dB.
Development of Proximity-Based COVID-19 Contact Tracing System Devices for Locally Virus Spread Prevention Ainul Fitriyah Lubis; Basari Basari
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.23697

Abstract

COVID-19 contact tracing is a preventive solution to slow the spread of the virus. Several countries have implemented manual contact tracing as well as digital tracking using smartphone applications. A proximity-based COVID-19 contact tracing system device using BLE (Bluetooth Low Energy) technology focuses on tracking and controlling the spread of the virus in local communities. The devices consist of a signal sending device (tag) and a signal receiving device (scanner). Suppose a system device is implemented in a factory. The tag will be used by employees by placing it in the front pocket of the factory employee's clothes or hooked on the shirt. The tag will continuously send a signal that will be read by the scanner. This received signal with the received signal strength indicator (RSSI) format will be used to calculate the distance between the scanner and the tag. Then the distance will be used to determine the coordinate point of the tag, with calculations using the trilateration algorithm. Therefore, the distance between tags can be obtained, while with signal fluctuation, the actual coordinate point cannot be obtained, yet proximity information can still be obtained by filtering distance data at a specified time interval that is less than the threshold value of the distance, 2 meters, then comparing the data with the overall data, resulting in a percentage value. A high percentage, above 80%, indicates the closeness between tags.
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.
Dual-Band Singly-Fed Proximity-Coupled Tip-Truncated Triangular Patch Array for Land Vehicle Mobile System Basari, Basari; Sumantyo, Josaphat Tetuko Sri
Makara Journal of Technology Vol. 19, No. 3
Publisher : UI Scholars Hub

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

Abstract

This paper proposes a dual-band left-handed circularly polarized triangular-patch array that is developed for land vehicle mobile system aimed at mobile satellite communications. The array consists of six tip-truncated triangular patches, which the first three patches are used for reception and the second three patches are used for transmission purpose. Each of three-patches has a beam pattern that can be switched in three different 120°-coverage beam in azimuth-cut plane at a minimum targeted gain at a desired elevation angle. The targeted minimum gain of the array is 5 dBic, in order for data communications with a large geostationary satellite can be achieved. The array is able to operate in two different frequency bands i.e. 2.50 GHz band for reception (down-link) and 2.65 GHz band for transmission (uplink). The array is simulated using the Method of Moments-based software (Ansoft Maxwell), fabricated and measured to confirm the simulated results. The measurement results show that the 5dBic-gain and the 3dB-axial ratio of the reception elements cover all of 360° azimuth direction. In the case of transmission elements, 4.3dBic-gain and the 3dBaxial ratio can be obtained.
Coax-Fed Dipole-Type Applicator for Hepatic Cancer RF Ablation Basari, Basari; Rakhmadi, Aditya; Saito, Kazuyuki
Makara Journal of Technology Vol. 22, No. 1
Publisher : UI Scholars Hub

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

Abstract

Cancer is the third leading cause of mortality in the world and is one of the most difficult diseases to detect and cure. This fact motivates us to investigate a treatment method by using radiofrequency (RF) ablation. RF ablation therapy kills cancer cells by electromagnetically heating them up. The treatment uses an applicator that is inserted into the body to heat the cells. The cancer cells are exposed to a temperature of more than 60 °C in short duration (a few seconds to a few minutes), thereby causing cell destruction locally. To ensure effective treatment, a minimally invasive method is selected so that good local temperature distribution inside the cancer cells can be achieved. In this paper, a coax-fed dipole-type applicator is proposed for interstitial irradiation technique in hepatic cell treatment. The applicator design is conducted by simulation in CST Microwave Studio to obtain an appropriate size at operating frequency of 2.45 GHz. We also consider localizing the ablation area by designing the tip of the applicator such that the main electromagnetic radiation locally exists around it. The proposed applicator is inserted into a simple phantom model of an adult human body with normal and cancerous liver cells. Both simulation and measured results show that the proposed applicator is able to operate at center frequency of 2.45 GHz in a blood droplet-type ablation zone. A temperature of 60 °C around the cancer cell can be achieved by simulation. Moreover, a square four-array applicator is analyzed to increase the ablation zone for a larger tumor cell. The simulation results show that a reasonably wider local ablation area can be achieved.
Leveraging Convolutional Neural Networks for Automated Detection and Grading of Diabetic Retinopathy from Fundus Images Yamani, Ibnu Uzail; Basari, Basari
Jurnal Teknik Elektro Vol 15, No 2 (2023): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v15i2.48769

Abstract

This study addresses the critical challenge of Diabetic Retinopathy (DR) detection and severity grading, aiming to advance the field of medical image analysis. The research problem focuses on the need for an accurate and efficient model to discern DR conditions, thereby facilitating early diagnosis and intervention. Employing a Convolutional Neural Network (CNN), our methodology is developed to strike a balance between precision and computational efficiency, a pivotal aspect in the context of healthcare applications.  The research leverages the APTOS 2019 dataset, a comprehensive collection of fundus photographs, to evaluate the efficacy of our proposed model. The dataset allows for a thorough investigation into the model's performance in binary-class and multi-class classifications, providing a robust foundation for analysis.  The most important result of our study manifests in the achieved accuracy rates of 98.67% and 87.81% for binary-class and multi-class classifications, respectively. These outcomes underscore the model's reliability and innovation, surpassing established machine learning algorithms and affirming its potential as a valuable tool for early DR detection and severity assessment.  In conclusion, the study marks a significant advancement in leveraging deep learning for ophthalmic diagnoses, particularly in the nuanced landscape of DR. The implications of our findings extend to the broader realm of AI-driven healthcare solutions, presenting opportunities for enhanced clinical practices and early intervention strategies. Future research endeavors could explore further refinements to the model, considering additional datasets and collaborating with healthcare professionals for real-world validation, ensuring the continued progress of AI applications in the medical domain.
Uji Kinerja Ventilator pada Mode Synchronized Intermittent Mandatory Ventilation (SIMV) AZIZ, SULTHON ABDUL; BASARI, BASARI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.656

Abstract

ABSTRAKGagal napas terjadi ketika sistem pernapasan tidak mampu mempertahankan kadar oksigen yang memadai dalam darah, baik dengan atau tanpa akumulasi karbon dioksida. Ventilator adalah alat yang mendukung pernapasan seseorang yang mengalami gagal napas. Pengaturan ritme pernapasan oleh mesin sering kali dirasakan tidak nyaman oleh pasien yang sadar, sehingga diperlukan sinkronisasi antara ritme pernapasan pasien dan mesin. Kami telah mengembangkan sebuah ventilator bernama COVENT untuk mengatasi masalah ini. Dalam artikel ini, kami melaporkan hasil uji kinerja ventilator dalam mode Synchronized Intermittent Mandatory Ventilation (SIMV). Hasil penelitian diuji dengan menggunakan VT gas flow analyzer, diperoleh akurasi pembacaan Positive End Expiratory Pressure (PEEP) sebesar 98,72%, akurasi volume yang dihasilkan sebesar 97,8-99,97% dari set volume yang ditetapkan dengan akurasi volume terbaca terhadap hasil uji VT gas flow analyzer sebesar 97,72-99,84%, akurasi pembacaan Peak Inspiratory Pressure (PIP) sebesar 97,77% dan akurasi deteksi usaha napas pasien 99,89%.Kata kunci: Mode SIMV, PEEP, PIP, Ventilator ABSTRACTRespiratory failure occurs when the respiratory system is unable to maintain adequate oxygen levels in the blood, either with or without carbon dioxide accumulation. A ventilator is a device that supports the breathing of someone who is experiencing respiratory failure. Regulating the breathing rhythm by a machine is often felt uncomfortable by conscious patients, so synchronization is needed between the patient's breathing rhythm and the machine. We have developed a ventilator called COVENT to overcome this problem. In this article, we report the results of ventilator performance tests in Synchronized Intermittent Mandatory Ventilation (SIMV) mode. The results of the research were tested using a VT gas flow analyzer, the accuracy of the Positive End Expiratory Pressure (PEEP) reading was 98.72%, the resulting volume accuracy was 97.8-99.97% of the set volume determined with the accuracy of the volume read against the VT test results analyzer was 97.72-99.84%, the accuracy of the Peak Inspiratory Pressure (PIP) reading was 97.77% and the accuracy of detecting the patient's respiratory effort was 99.89%.Keywords: PEEP, PIP, SIMV Mode, Ventilator
Development of Simple Control System for a Negative Pressure Wound Therapy Device Davida, Angga; Basari, Basari
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27152

Abstract

Diabetic ulcers are wounds found on the legs of diabetic patients. Improper treatment opens the risk of complications like sepsis and osteomyelitis. A notable method of treatment is through a Negative Pressure Wound Therapy (NPWT) device. This device helps ulcer recovery by removing exudate, increasing blood flow, and promoting cellular proliferation via negative pressure. The objective of this study is to increase the local content of an affordable and effective method of diabetic ulcer therapy by developing a simple, low-cost NPWT prototype. This was achieved by using an Arduino UNO microcontroller, which included PID controls, an MPXV4115VC6U sensor reading function, an in-built timer, two modes, and an alarm system. The resulting prototype was calibrated before testing to reduce error rates. Testing was conducted using a Gas Flow Analyzer and an ulcer wound phantom. Negative pressure settings of 75, 85, and 125 mmHg were used for testing and were conducted on both modes for 30 minutes each. From these tests, it was found that the prototype could reach the negative pressure thresholds with minimal average error of at most -1.81%. With a wound phantom, the average error was -0.56% and -0.20% for the continuous and intermittent modes respectively. This small variance is negligible because NPWT therapy has a wide range of acceptable negative pressure, namely 60-80 mmHg and 80-125 mmHg, depending on wound type. In conclusion, a simple Arduino UNO-based system can function as an NPWT therapy device to aid diabetic ulcer recovery with minimal error.
Measuring on Physiological Parameters and Its Applications: A Review Bayani, Hazzie Zati; Basari, Basari
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 2 (2024): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i2.28767

Abstract

In providing patient care, it is essential to know the patient’s status to avoid incorrect treatment. Patient status includes various physiological parameters such as heart rate, blood oxygen saturation, blood pressure, body temperature, and respiratory rate. Measuring each physiological parameter requires data collection and analysis. Data acquisition in measuring physiological parameters can be categorized into contact methods, non-contact methods, invasive methods, and non-invasive methods. After data collection, it is crucial to analyze the collected data to ensure accurate and reliable measurements. This analysis can utilize RF signals, PPG signals, machine learning, and deep learning, depending on the specific needs and objectives of the study. This paper aims to identify studies based on types of data acquisition and analysis methods developed. These studies will be reviewed to understand the limitations of the data acquisition methods and analysis methods used. Additionally, this paper will discuss and classify the types of applications developed in these studies over the last five years, focusing on functionality, device design, and body-to-device connectivity. This review will identify whether the studies developed wearable or portable, wired or wireless devices, and their purpose whether for diagnosis, monitoring, or both. This review will also highlight the limitations and provide a brief perspective on future developments.
Peluang Kompetensi Clinical Engineering untuk Meningkatkan Prospek Kerja Lulusan Program Studi Teknik Biomedik di Indonesia Rahman, Ahmad Fathir; Basari, Basari
Jurnal Pendidikan Indonesia Vol. 6 No. 3 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i3.7209

Abstract

In Indonesia, the clinical engineering sector is crucial for advancing healthcare services, yet the integration of university curricula with industry demands remains suboptimal. This mismatch between educational offerings and market needs has significant implications for graduate employability and the quality of healthcare services. This study aims to critically evaluate how well academic programs in clinical engineering align with the evolving needs of Indonesia’s healthcare industry and to enhance employment opportunities for graduates. Employing thematic analysis based on Clarke & Braun's model and drawing on purposive sampling, interviews were conducted with stakeholders across the biomedical field, including educators, industry professionals, and healthcare providers. This approach allowed for a deep dive into the existing gaps between educational content and industry expectations. The research highlights a substantial lack of practical training and insufficient collaboration between academic institutions and the healthcare industry. These factors contribute to the skill mismatch among graduates and underscore the need for curriculum adjustments. Key findings suggest that integrating practical skills training and enhancing industry-academic partnerships are critical steps towards improving graduate employability. The study suggests that strategic curriculum adjustments are needed to better prepare graduates for the workforce.
Co-Authors Ainul Fitriyah Lubis Aziz, Sulthon Abdul Bayani, Hazzie Zati Davida, Angga Eko Tjipto Rahardjo Eunike Thirza Hanita Christian Fitri Yuli Zulkifli Josaphat Tetuko Sri Sumantyo Josaphat Tetuko Sri Sumantyo, Josaphat Tetuko Sri Kazuyuki Saito, Kazuyuki Nugroho Adi Saputro Raharjo, Eko Tjipto Rahman, Ahmad Fathir Rakhmadi, Aditya Siti Fauziyah Rahman Yamani, Ibnu Uzail Yudan Whulanza Yuyu Wahyu Zulkiflia, Fitri Yuli