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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Applied Sciences Majalah Kedokteran Bandung Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya Journal of Engineering and Technological Sciences Journal of ICT Research and Applications International Journal of Advances in Intelligent Informatics The Asian Journal of Technology Management (AJTM) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Padjadjaran Journal of Dentistry Journal of Geoscience, Engineering, Environment, and Technology Journal of Science and Applicative Technology Journal of Dentomaxillofacial Science Spektra: Jurnal Fisika dan Aplikasinya Agrin : Jurnal Penelitian Pertanian Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Elektronika dan Telekomunikasi Jurnal Pendidikan dan Konseling ANIMA Indonesian Psychological Journal Scientific Journal of Mechanical Engineering Kinematika Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Makara Journal of Technology
Suprijanto Suprijanto
Faculty of Industrial Engineering, Institute of Technology Bandung, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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Electrical Resistance Tomographic by Using Current Injection and Magnetic Field Induction Dudi Darmawan; Deddy Kurniadi; Suprijanto
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 1 (2023): JGEET Vol 08 No 01 : March (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.1.10560

Abstract

A critical issue in electrical tomography is ill-posed problems due to low sensitivity. In the electric current injection method, the placement of the injection electrode on the object boundary can influence it. This condition causes the reconstruction result of parameter change far away from the boundary to be inferior in quality. Another excitation method is using magnetic field induction proposed to overcome these problems. Each reconstruction image was obtained using two methods with three types of parameter changes, that represented the edge and the center of the object position. Both reconstruction results are merged and further processed to enhance the quality of the image, based on the average value of the resistivity of each element. The results show that the final image reconstruction has a smaller root mean square error (RMSE) than the electric current injection method.
Rancang Bangun Purwarupa Perangkat Wearable Headset untuk Pengukuran Sinyal Listrik pada Otak Suprijanto; Ayu Gareta R.; Fauza K. Masyhuroh; Siti Maisaroh
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1453.324 KB)

Abstract

Nowadays, brain signal measurement devices or Electroencephalogram (EEG) are used not only for medical purposes but also for other applications, such as video games (in virtual reality) and biofeedback simulator. A wearable, easy to use and configure, wireless and open system EEG are now very important for those applications. This paper will discuss the design of a wearable and wireless EEG headset. The EEG headset is a bamboo-based headset which was designed with adjustable electrodes positioner to fit the headset with various sizes of head. Other features included in the design is the ability to reduce motion artifacts by adding springs on the electrode’s holder. Four healthy subjects were included during the performance testing of the headset. The performance was tested by comparing the correlation coefficient of the acquired data using headset with the one recorded without headset in frequency domain. The results show that the wearable EEG headset prototype is more robust in minimizing the effect of head movement. It is indicated by higher average value of the coefficient correlation in the EEG recording with headset.
SIMPLE EEG ASSESS WORKING MEMORY PROCESS IN DIFFERENCE GENDER Fifi Veronica; Hanna Gunawan; Lulu L. Fitri; Suprijanto; Aldi Fernando; Galih Nadhova; Hilsa
Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya Vol. 9 No. 3 (2022): Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universi
Publisher : Fakultas Kedokteran Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/jkk.v9i3.320

Abstract

Terminology working memory often used to describe the whole process of structure in memory, including execu- tive function, which all information retains and uses in temporary period. Simple EEG, like Headband Muse Elec- troencephalography (EEG) which used 4 sensors EEG is one of the tools in neuroscience research to investigate neuronal process in different condition, as well as working memory process in simple and easiest way. Results in this study hopefully provide baseline data for another neurofeedback research in cognitive process. Material & Methods using the Muse, simple EEG as portable low cost and wireless two-channel EEG headband, we record 23 students at 4th grade elementary school in Jatinangor. The α brain waves bands were recorded while they get memory span task, which had sequences base 1, read 1, interphase1, recall 1, base 2, read 2 interphase2, recall EEG recorded result difference between gender. Oscillation α brain wave will loaded into MATHLAB. In this study, we report sex related changes α trends bands in EEG power as peak frequency for both frontal and temporo- parietal sites, in several condition task in working memory process. In male participants increasing trends for α in working memory process higher than female students. The result also stated asymetri frontal cortex and decreasing power of α wave between TP and AF. We discuss our finding probability sex related chages their attentional and emotional in working memory process. Encoding process and retrieval also probability influence.
Railway track width gauge performance review: evaluation of test results and their implications for safety improvement Prasetyo, Febrian Angga; Sunarto, Setio Aji; Suprijanto, Suprijanto; Gunawan, Leonardo
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 3, No 1 (2024): June
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v3i1.20269

Abstract

The deteriorated state of the railway line poses operational risks for railway transportation due to potential safety concerns. The train derailment occurred because of an abnormal track width that was not immediately repaired. This improvement was omitted because of the absence of an accurate and real-time track width measurement tool. Several gauge have been widely developed. The measuring instrument developed uses an LMP (Linear Motion Position) sensor to measure the width of the path. The measuring mechanism connects the LMP shaft to a roller bearing arm that can move linearly and dynamically according to the groove width of the path. The linear movement of the roller bearing with the arm connected to the LMP shaft is converted as a change in the path width. To determine the function and measurement results of the measuring instrument, measurement experiments were conducted at Sidotopo stations (lines 5 and 6). Line 5 was chosen because of the straight area of the money order needle, the parallel crossing groove, and the curve. Line 6 was chosen because there is a gongsol path. Measurements on each path are made twice with the starting point and opposite direction. The measurement data are shown in the form of a width graph to the distance with one red line as the tolerance limit for widening the width of the line (1074 mm) and one blue line as the tolerance limit for narrowing the width of the line (1065 mm). The measurement results show the consistency of the measurement results. The largest measured width condition is 1092 mm, and the smallest measured width condition is 1058 mm. 
DETEKSI CACAT PADA CARBON FIBER REINFORCED POLYMER BERDASARKAN KOEFISIEN KORELASI PEARSON DARI SINYAL ECHO ULTRASONIK Yusuf Giri Wijaya; Suprijanto, Suprijanto; Nugroho, Afid; Hijazi, Rhakamerta; Adhika, Damar Rastri
Scientific Journal of Mechanical Engineering Kinematika Vol 9 No 2 (2024): SJME Kinematika Desember 2024 (ongoing -Full)
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v9i2.322

Abstract

Carbon fiber reinforced polymer (CFRP) adalah material komposit yang sering digunakan dalam industri penerbangan, otomotif, dan kelautan karena kekuatannya yang tinggi dan beratnya yang ringan. Namun, keandalan CFRP dapat terganggu oleh cacat internal yang terjadi selama proses manufaktur atau penggunaan. Penelitian ini bertujuan untuk mendeteksi adanya cacat pada CFRP berdasarkan koefisien korelasi Pearson dari sinyal echo ultrasonik. Metode ini menggunakan gelombang ultrasonik untuk mengidentifikasi cacat berdasarkan perubahan pola sinyal. Sinyal referensi diperoleh dengan merata-ratakan sinyal dari beberapa lokasi bebas cacat. Perubahan pola sinyal terhadap sinyal referensi dikuantifikasi menggunakan koefisien korelasi Pearson untuk mengklasifikasikan daerah bebas cacat dan yang memiliki cacat. Sampel uji berupa plat tipis CFRP dengan cacat buatan dari material teflon berbentuk lingkaran dengan jari-jari 15 mm yang diletakkan pada dua kedalaman berbeda. Hasil penelitian menunjukkan bahwa koefisien korelasi Pearson efektif membedakan antara area bebas cacat dan yang memiliki cacat. Area bebas cacat menunjukkan korelasi dalam rentang 0,97 sampai 1, sementara area dengan cacat menunjukkan korelasi rendah dalam rentang 0 sampai 0,36.
SISTEM UJI TAK RUSAK BERBASIS ULTRASONIK UNTUK KONTROL KUALITAS PADA FABRIKASI BATA TIMBAL Hijazi, Rhakamerta; Suprijanto; Haryanto, Freddy; Haerudin, Ahmad; Wijayaa, Yusuf Giri; Sulistyo, Jos Budi
Scientific Journal of Mechanical Engineering Kinematika Vol 9 No 2 (2024): SJME Kinematika Desember 2024 (ongoing -Full)
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v9i2.323

Abstract

BATAN has the authority to improve the quality of lead brick production, which is still fabricated conventionally. Therefore, a non-destructive testing system has been developed, consisting of a Partial Immersion Technique transducer used to maintain a perpendicular scanning angle due to the uneven surface of the lead brick, an un0rick board used for its flexibility and good capability in generating high-voltage electrical pulses and high sampling frequency, and a laptop. The result is the optimization of ultrasonic parameters, with a transducer frequency of 500 KHz and a pulse length of 0.5 μs. Additionally, tests were conducted on three cases. A standard lead brick used as a reference has a propagation speed of 2.156 m/s. The lead brick with artificial defects had the first defect location estimated at 23.32 mm with an error of 16.62%, the second defect location estimated at 25.1 mm with an error of 0.44%, the third defect location estimated at 36.17 mm with an error of 9.57%, and the fourth defect location estimated at 9.38 mm with an error of 6.2%. The third case, a lead brick with natural defects, had the defect location estimated at 26.77 mm with an error of 1.08%.
Computer-aided pulmonary disease diagnosis using lung ultrasound video Bahri, Saeful; Suprijanto, Suprijanto; Juliastuti, Endang
International Journal of Advances in Intelligent Informatics Vol 10, No 3 (2024): August 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v10i3.1397

Abstract

The development of a machine learning-based computer-aided diagnosis (CAD) system implemented for processing lung ultrasound images will greatly assist doctors in making decisions in diagnosing lung diseases. The learning method of the classifier model used in the computer-aided diagnosis system will affect the system's accuracy in diagnosing lung disease. Determining variables in the classifier and image pre-processing stages requires special attention to obtain a highly accurate classifier model. This study presents the development of a machine learning-based CAD as an add-on tool to classify lung disease based on a lung ultrasound (LUS) video. The main steps in this study are capturing the LUS videos and converting them into images, image pre-processing for speckle noise removal, image contrast and brightness enhancement, feature extraction, and the classification stage. In this study, three learning algorithm models, namely Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naïve Bayes (NB), were used to classify images into three categories, namely healthy conditions, pneumonia, and COVID-19.  The performance of the three classifier models is compared to each other to obtain the best classifier model. The experimental results demonstrate the superiority of the suggested strategy utilizing the SVM classifier. Based on experimental data using 2,149 lung images for three classes and 20 texture feature sets, the SVM has an accuracy of 98.1%, the KNN is 94.7%, and the Gaussian NB is 79.6%. The model with the highest accuracy will be used to develop the computer-aided diagnosis (CAD) system.
Rancang Bangun Instalasi Uji Akurasi Meter Air untuk Studi Pengaruh Tekanan Air FIRMANSYAH, DUDI ADI; AHMAD, SAYYID AL HABBIB; PRIYATNA, ENDANG; FIRMANSYAH, VERA; SUPRIJANTO, SUPRIJANTO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 3: Published July 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i3.529

Abstract

ABSTRAKPada distribusi air bersih kepada konsumen, tekanan permulaan biasanya dibuat lebih tinggi dan sering berubah pada saat aliran. Kondisi ini dapat mempengaruhi akurasi meter air, meskipun alat ini didesain untuk dapat beroperasi pada rentang tekanan lebar. Oleh karenanya, pada penelitian ini, prototipe instalasi uji dibuat untuk mempelajari pengaruh tekanan air pada akurasi meter air secara bersamaan. Prototipe ini terdiri dari dua pompa yang mampu menghasilkan tekanan air tinggi, sensor tekanan posisi hulu dan hilir, pengatur aliran, sensor aliran, meter air, sensor suhu, dan sebuah sistem akuisisi data nirkabel dengan perhitungan otomatis. Hasil kalibrasi menunjukan bahwa semua sensor memiliki rata-rata akurasi 99,4% dan presisi 99,7%. Hasil pengujian akurasi meter air pada kenaikan tekanan dari 0,5 bar ke 4,5 bar menunjukan nilai kesalahan meter air yang semakin meningkat dari 5,1% menjadi 7,2%, sehingga pada studi ini dapat dilakukan pengujian akurasi meter air pada tekanan air yang lebih tinggi dibandingkan dengan penelitian sebelumnya.Kata kunci: tekanan, akurasi, instalasi uji, perhitungan otomatis ABSTRACTIn the water distribution, the starting pressure is usually made higher and frequently changes during the flow. This condition can affect the accuracy of water meter, though it was designed to be operated at a wider pressure range. Therefore, a prototype of testing installation is assembled to study the effect of the water pressure to the water meter accuracy simultaneously. It consists of two pumps which able to generate high water pressure, pressure sensor (upstream and downstream), flow regulator, flowmeter sensor, water meter, temperature sensor, and wireless data acquisition system with automatic calculation. Calibration results show that all sensors have average accuracy of 99.4% and precision of 99.7%. Water meter accuracy testing results at the increasing pressure from 0,5 bar to 4,5 bar show that water meter error values increase from 5,1% to 7,2%, so this study can perform accuracy test at a higher water pressure as compared to the previous research.Keywords: pressure, accuracy, testing installation, automatic calculation
Comparison of the quality of the result of digitising panoramic analogue films using transmission and reflection scanner mode with direct digital imaging standard Azhari, Azhari; Gianto, Gianto; Suprijanto, Suprijanto
Padjadjaran Journal of Dentistry Vol 31, No 2 (2019): July 2019
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.104 KB) | DOI: 10.24198/pjd.vol31no2.21155

Abstract

Introduction: The use of panoramic x-ray radiographs with analogue film negatives is still widely used. Contrast differences in the radiograph are determined by the level of light transmitted from the viewer to the film negative and visual perception of the radiologist, which can cause differences and errors of interpretation. This study was aimed to compare the quality of scanners produced by the transmission and reflection modes objectively with direct digital imaging standard. Methods: This study used a descriptive comparative design with purposive sampling method. Radiographic analysis was conducted towards 30 analogue radiographs of Radiology laboratory of Universitas Padjadjaran Dental Hospital. Digitisation was performed using a scanner with setting modes (reflection and transmission, 8-bit intensity resolution and spatial resolution of 800 dpi). Digitising the negative radiographs of analogue films into digital radiographs will get a range of percentage pixels. Histogram of radiographs with a percentage of pixels in the grey level range 0 - 64 exceeds 50%, including "under-exposed", in the grey level range 192 - 255 exceeding 50%, including "over-exposed". The evaluation was carried out to observe the radiograph exposure homogeneity by dividing the radiograph into 4 parts. Each part was calculated as the mean pixel value; then the standard deviation was searched for the four mean values (STDMI - standard deviation mean intensity) determined the homogeneity. Results: Digitising type of radiograph reflection was included under-exposed because the percentage of pixels in the grey level range 0 - 64 was 86.94%. STDMI consecutive reflection = 8.03, transmission = 18.05, direct digital imaging = 20.86. Conclusion: Digitisation with scanner transmission mode is the best result objectively because it approaches the quality value of direct digital imaging standard.Keywords: Objective quality, homogeneity, reflection, transmission
Temporal context of lightweight network model for detecting boats approaching the tsunami early warning system Yogantara, Wayan Wira; Suprijanto, Suprijanto; Kusuma, Anak Agung Ngurah Ananda; Istianto, Yuki
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3542-3553

Abstract

The tsunami early warning system (TEWS) is a device that detects potential tsunamis. However, a boat that approaches TEWS is a source of communication disturbance. A convolutional neural network (CNN), as part of intelligent computer vision, is one solution for detecting boats and providing a warning to move away from the TEWS area. Water segmentation and refinement-temporal (WaSR-T), as the current advanced CNN network, exhibits impressive performance in detecting object obstacles in the marine domain, although it requires a powerful computational device. In the paper, we propose a modification of WaSR-T, replacing the most computationally intensive stages with a lightweight version called lightweight WaSR-T. On the proposed lightweight WaSR-T, the previous encoder of WaSR-T was replaced with MobileNetV3, and some feature layer maps were reduced as input to the decoder. For training and validating the lightweight WaSR-T, the image dataset representing the open sea and our extended dataset from Indonesia's ocean region were used. Based on the quantitative results and evaluation of the computational load, the sensitivity to detect a boat for WaSR-T and lightweight WaSR-T is 95.71% and 90.00%, respectively. The lightweight WaSR-T required less memory at 32.57%, resulting in a 0.0761% reduction in total processing time compared to the original WaSR-T. Therefore, our proposed lightweight WaSR-T is promising for use as the central part of an intelligent maritime computer vision system in TEWS.
Co-Authors - Azhari - Azhari Agus Z. Arifin Agus Zainal Arifin Ahmad Haerudin AHMAD, SAYYID AL HABBIB Aldi Fernando Aldy Aprian Andini, Khairunnisa Desi Aprilianty, Fitri Arief Adhi Nugroho Ayu Gareta R. Azhari Azhari Azhari Azhari Azis Muslim, Azis Bayu Pamungkas Bernadus Bisma Titis Restu Aji Bonfilio Nainggolan Budi Yasri Candra Yudhistira Chaerani Chusnia D. Kurniadi Damar Rastri Adhika Deddy Kurniadi Deddy Kurniadi Devina, Helma Dudi Adi Firmansyah Dudi Darmawan Dyah A. Lestari E. Juliastuti E. Juliastuti Eka Susanty Endang Juliastuti Endang Juliastuti F. Fitria Farida I. Muchtadi Farida Muchtadi, Farida Fathul Khoiriyah Fauza K. Masyhuroh Fifi Veronica Firmansyah, Dudi Adi FIRMANSYAH, VERA Fitri, D. Nur Fransisca, J. Freddy Haryanto Galih Nadhova Gareta R., Ayu Gayuh Tentri Gianto Gianto H Susanti Hanifan Prafiadi Hanna Gunawan Hardianto Iridiastadi Hesty Susanti Hijazi, Rhakamerta Hilsa Iftikar Zahedi Sutalaksana Iftikar Zahedi Sutalaksana Irawati Dewi Syahwir Irmayanti, Tiara IRWAN SETIAWAN Istianto, Yuki Jeffry Omega Prima Jessica Jessica Johanna Muliany Jos Budi Sulistyo Kamila Rofa Khairunnisa Ibadurrohman Khairul Amri Kusuma, Anak Agung Ngurah Ananda L.F. Wiranata Leonardo Gunawan, Leonardo Lulu L. Fitri Lulu Lusianti Malik Purnomo Hadi Masyhuroh, Fauza K. Muchtadi, Farida I. Mursito Budi, Eko Narendra Kurnia Putra Nisrina Nur Husna Nugraha - Nugroho, Afid Nuki N. Hidajat Prasetyo, Febrian Angga PRIYATNA, ENDANG Purwanegara, Mustika Sufiati Putri, Dinda T R. Michael Rakhmadi, Imam Rayhan Putra Pratama Rida Zuraida Risangtuni, Ayu G Risangtuni, Ayu Gareta Sabilla Rosadi Saeful Bahri Safira Humaira Sasanti T. Darijanto Setyono Koesno Siti Maisaroh Siti Maisaroh Suhardjo Sitam Sunarto, Setio Aji T Apriantono V. Nadhira Wijayaa, Yusuf Giri Yogantara, Wayan Wira Yudhi Diputra Yusuf Giri Wijaya Zahra, Naila