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All Journal Sinergi BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks Jurnal Elektronika dan Telekomunikasi Journal of Information Technology and Computer Engineering Journal of Electronics, Electromedical Engineering, and Medical Informatics Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan
Riandini, Riandini
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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ACTIVE FILTER ANALYSIS ON DESIGNING ELECTRONIC STETHOSCOPE Oktivasari, Prihatin; Riandini, Riandini; Fitri, Rahmah A.; Malaon, Sungguh I.
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.51-56

Abstract

Early heart disease detection could be vital and some other diagnostic ways are being developed. In this paper, a lowcost tool for a diagnostic that analyzes the digitized heartbeat sound is given. This can be used to detect heart anomalies. The instrument shows the heart sound and also keeps a patient's long-term record for future use. The signal from the heart provides a lot of knowledge about the heart and offers an initial diagnosis recommendation. The electronic stethoscope uses the condenser microphone, preamplifier circuit, and filter circuit. The optimum filter is Butterworth with a fourth-order Sallen key low pass filter topology with a gain of 0.707 volts, -3.01 dB, and a fourth-order high pass filter with a gain of 0.782 volts, -2.137 dB. The frequency of the heart sound is about 20 Hz ? 120 Hz in general. Therefore, the lower cutoff frequency of the filter is set to 20 Hz, while the higher cutoff frequency set to 120 Hz. The evaluation used to measure the performance of an electronic stethoscope is to compare with a conventional stethoscope, the recorded sound is the same.
Rancangbangun Lengan Robot Pelontar Bola dengan Sistem Pneumatik Rozak, Fauzi Syahrul; Riandini, Riandini
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Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/ees.v1i1.2305

Abstract

Artikel ini membahas tentang lengan robot pelontar bola ke ring dengan sistem pneumatik. Robot pelontar bola ini meniru budaya petani Vietnam bermain lempar bola pada musim panen. Permainan mereka untuk mengungkapkan rasa syukur atas kesuksesan panen. Kini hal tersebut diadopsi menjadi permainan robot yang dipertandingkan pada Kontes Robot ABU Indonesia (KRAI). Lengan robot ini difungsikan sebagai unit penggerak bertugas melontar bola dari zona lempar ke ring. Variasi zona lempar ini dibedakan berdasarkan jarak dan ketinggian terhadap ring dari zona pelemparan. Pelontaran bola ke ring dimaksudkan untuk mendapatkan poin pada pertandingan KRAI. Cara kerja lengan robot pelontar, sensor proximity mendeteksi bola yang dikaitkan pada lengan. Hasil deteksi sebagai input proses Arduino Mega 2560 mengeluarkan output logika diteruskan ke driver ULN2803. Driver mengkontak solenoid valve sehinnga aktuator cylinder pneumatic mendorong piston untuk menggerakan lengan melontar bola. Tujuan artikel adalah uji lengan robot dengan melontar beberapa bola ke ring. Setiap daerah lempar memerlukan konsumsi tekanan udara yang berbeda dipengaruhi jarak dan ketinggian ring. Semakin jauh dan tinggi lemparan maka semakin besar pula konsumsi tekanan yang diperlukan
Internet of Thing untuk Memantau Sistem Kelistrikkan Pembudidaya Ikan Hias Dwiyaniti, Murie; Riandini, Riandini; Silawardono, Silawardono; Tahazen, Tahazen; Saputra, Fauzan Aziz; Yosmaniar, Yosmaniar
Berdikari: Jurnal Inovasi dan Penerapan Ipteks Vol 11, No 2 (2023): August
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/berdikari.v11i2.18371

Abstract

The Pondakan Alam Sari ornamental fish cultivator group has approximately 50 types of ornamental fish cultivated for domestic and foreign commodities. Market demand for ornamental fish tends to increase yearly, but the market wants stable prices. This price stability is a dilemma for ornamental fish cultivator groups. One of the determinants of the selling price of ornamental fish is operational costs, especially electricity costs. The increase in basic electricity tariffs causes operational costs to increase. Electricity is used to power the circulating water pump 24 hours non-stop daily. This circulating water pump is very important for producing oxygen in the water. If there is no oxygen in the water, ornamental fish will die. To reduce operational electricity costs, the community service team built a DC electricity system sourced from solar energy so that the circulating water pump source no longer uses PLN electricity. This community service program aims to reduce operational electricity costs by building a DC electricity system sourced from solar energy and an IoT-based monitoring process. The implementation method consists of two stages: (1) building physical capital through a solar energy electricity source and DC pump installation and (2) creating a DC electrical parameter monitoring system with the Blynk IoT platform. The evaluation technique was carried out by comparing planning with the progress of implementing activities. The results and implications of activities include the availability of DC electricity sources from renewable energy, namely solar cells with a power of 960 WP, installing 10 DC pumps, and an IoT-based DC electrical parameter monitoring system. Operational costs in managing an ornamental fish business can be reduced by 46% from before using renewable and IoT-based energy. This result will certainly increase the profit margin of ornamental fish farming.
Dental Caries Segmentation using Deformable Dense Residual Half U-Net for Teledentistry System Iklima, Zendi; Trie Maya Kadarina; Priambodo, Rinto; Riandini, Riandini; Wardhani, Rika Novita; Setiowati, Sulis
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.511

Abstract

Clinical practitioners’ workload and challenges are significantly reduced by classifying, predicting, and localizing lesions or dental caries. In recent research, a high-reliability diagnostic system within deep learning models has been implemented in a clinical teledentistry system. In order to construct an efficient, precise, and lightweight deep learning architecture, it is dynamically structured. In this paper, we present an efficient, accurate, and lightweight deep learning architecture for augmenting spatial locations and improving the transformation modeling abilities of fixed-structure CNNs. Deformable Dense Residual (DDR) enhances the efficacy of the residual convolution block by optimizing its structure, thereby mitigating model redundancy and ameliorating the challenge of vanishing gradients encountered during the training stages. DDR Half U-Net presents notable advancements to the simplified U-Net framework across three pivotal domains: the encoder, decoder, and loss function. Specifically, the encoder integrates deformable convolutions, thereby enhancing the model's capacity to discern features of diverse scales and configurations. In the decoder, a sophisticated arrangement of dense residual connections facilitates the fusion of low-level and high-level features, contributing to comprehensive feature extraction. Moreover, the utilization of a weight-adaptive loss function ensures equitable consideration of both caries and non-caries samples, thereby promoting balanced optimization during training.
A simplified dental caries segmentation using Half U-Net for a teledentistry system Kadarina, Trie Maya; Iklima, Zendi; Priambodo, Rinto; Riandini, Riandini; Wardhani, Rika Novita; Setiowati, Sulis; Jusoh, Mohd Taufik
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.005

Abstract

High-reliability diagnostic equipment efficiently supported by a computer-based diagnostics system. For instance, a computational approach establishes a model that can diagnose diseases. Artificial intelligence has been applied to aid in the field of medical imaging. Classification, prediction, and localisation of lesions or dental caries greatly minimise the load and difficulties for clinical practitioners. In this study, U-Net architectures are simplified to propose the feature reduction of the decoder layers. This simplification of U-Net architectures is utilised for segmented dental caries images. This paper simplified the U-Net decoder layers into the level of blocks Half-UNet () and Half-UNet (). The Half-UNet structural model surpasses the U-shaped structural model in terms of efficiency and segmentation capabilities. The simplification of the UNet architecture outperformed using Half-UNet 0.83% of the dice coefficient. The Half-UNet design is able to preserve model performance in segmenting actual images and ground truth against expected ground truth.
LoRa Communication in the Service Level Monitoring Satu Duit Bogor Bridge Setiowati, Sulis; Riandini, Riandini; Sari, Via Arsita; Purwanti, Indah Luthfiyyah; Andriansyah, Noval
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 01 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.19-28.2023

Abstract

Lora is the solution to the problem of the need for long-distance two-way communication between machines that are targeted by IoT (Internet of Thins. LoRa has long-distance transmission capabilities, has power, and a low bit rate. Based on the needs related to LoRa, further research is needed, to analyze the performance of LoRa communication. The LoRa communication protocol will be applied to the One Duit Bogor bridge monitoring system using the Website and LabVIEW. This study used LoRa SX1276 with a frequency of 915MHz with the LoRa point-to-point method and LoRa gateway. The parameters analyzed include RSSI (Received Signal Strength Indicator), SNR (Signal to Noise Ratio), Delay, Throughput, and Packet loss to determine the quality of LoRa performance with TIPHON standards. Based on the tests that have been carried out, it proves that LoRa communication has good performance. In urban areas or around the Satu Duit Bogor bridge, LoRa can transmit data from a distance of 0 to 500 m with an average delay of 217 ms, an average packet loss of 10.237%, an average throughput of 137.881 bps, an average SNR of 7.54 dB, and an average RSSI of -71,798 dBm. At a distance of 0-400 m there is an insignificant change in LoRa parameters, but at a distance of 500 m a high change occurs, this is due to the fact that the distance greatly affects the transmission of data. The longer the range, the more obstacles will be passed so that data transmission is disrupted.
Co-Authors Andriansyah, Noval Fitri, Rahmah A. Jusoh, Mohd Taufik Malaon, Sungguh I. MURIE DWIYANITI1 Prihatin Oktivasari Purwanti, Indah Luthfiyyah Rika Novita Wardhani Rinto Priambodo Rozak, Fauzi Syahrul Saputra, Fauzan Aziz Sari, Via Arsita Silawardono, Silawardono Sulis Setiowati Tahazen, Tahazen Trie Maya Kadarina Yosmaniar, Yosmaniar Zendi Iklima