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All Journal INOVTEK POLBENG Jurnal Segara Indonesian Journal of Electrical Engineering and Computer Science SinarFe7 Jurnal Rekayasa elektrika

Agus Indra Gunawan

Politeknik Elektronika Negeri Surabaya

Author-ID : 2387950

Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology

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Identifikasi Sinyal Elektromiografi Otot Vastus Medialis dan Erector Spinae dalam Transisi Gerakan untuk Kontrol Robot Kaki Farid Amrinsani; Zainal Arief; Agus Indra Gunawan
INOVTEK POLBENG Vol 9, No 2 (2019): INOVTEK VOL.9 NO 2 - 2019
Publisher : POLITEKNIK NEGERI BENGKALIS

Kehilangan beberapa bagian tubuh dan kelemahan otot akibat cedera adalah faktor yang mengganggu aktivitas manusia sehari-hari. Konsep exoskeleton adalah pendekatan yang sangat positif bagi manusia dalam hal kerusakan pada tungkai bawah. Dalam studi ini, ekstremitas bawah selama gerakan jongkok ke berdiri, berdiri ke duduk, duduk ke berdiri, dan berdiri ke jongkok menjadi fokus dalam penelitian ini. Sinyal elektromiografi terdeteksi dari vastus medialis dan erector spinae. Enam responden terlibat dalam melakukan percobaan ini. Ada 2 tahap dalam percobaan ini. Pada tahap pertama, gunakan fitur ekstraksi domain waktu seperti MAV, MAD, dan RMS. Latensi 500 ms dengan waktu tumpang tindih 10 ms digunakan. Ambang digunakan untuk mendeteksi awal kontraksi otot 0,002 mV dan bagian akhir kontraksi otot 0,0015 mV. Data dalam ambang batas digunakan sebagai input dari jaringan saraf tiruan. Penggunaan python 2.7 jaringan syaraf tiruan dibuat dengan 240 input node, 80 hidden node, dan 4 output node. Data pergerakan dengan total 556 digunakan untuk melatih jaringan. Data pergerakan dengan total 160 digunakan untuk menguji jaringan. Sistem ini mampu menginterpretasikan gerakan sebenarnya dengan nilai persentase 84% dan nilai kesalahan 16%. Pada tahap kedua menggunakan metode yang sama, sistem diuji dengan responden yang berbeda. Data pergerakan dengan total 104 digunakan untuk menguji jaringan. Persentase keberhasilan sistem dalam menafsirkan gerakan adalah 59% dan nilai kesalahan 41%.

Penerapan Machine Learning Pada Smart Socket Dengan Multi Sensor Untuk Adaptasi Pola Pemakaian Pengguna Muhammad Furqon; Agus Indra Gunawan; Bambang Sumantri; Ardik Wijayanto
SinarFe7 Vol. 1 No. 1 (2018): Sinarfe7-1A 2018
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.279 KB)

Peralatan elektronik masa kini tidak hanya dituntut untuk mampu memenuhi kebutuhan manusia yang semakin kompleks dan mendetail, namun telah menghadapi tantangan baru, yaitu tuntutan kemampuan alat dalam beradaptasi dengan kebutuhan manusia itu sendiri. Oleh karena itu, pada penelitian ini akan dibuat sebuah prototype alat berupa stopkontak yang dilengkapi dengan multi sensor yang bertujuan untuk mendapatkan behavior dari user yang nantinya akan digunakan sebagai konfigurasi ON/OFF sistem pada stopkontak tersebut, yang kemudian disebut dengan smart socket. Terdapat beragam metode yang relevan telah diuji dan diaplikasikan pada penelitian-penelitian sebelumnya, salah satunya adalah stopkontak multi-fitur multi-sensor dengan kontroler kondisional namun, metode tersebut kurang efektif karena user diharuskan melakukan konfigurasi awal untuk menggunakan smart socket tersebut, dan sistemnya yang bersifat statis sehingga user diharuskan mengubah konfigurasi setiap kali kondisi yang diinginkan berubah. Adapun metode y ng digunakan pada penelitian ini adalah menggunakan KMeans clustering, dimana metode tersebut akan mengolah data respon user yang direkam oleh sistem menjadi sebuah konfigurasi ON/OFF otomatis yang dapat flexible berubah mengikuti behavior dari user tersebut. Hasil dari pengujian sistem terhadap dua subjek user didapatkan konfigurasi user1 (sistem akan menyala dari jam 12:21:37 hingga jam 17:53:18 dengan rata-rata konsumsi daya dalam satu hari adalah 165.61 Watt), user2 (sistem akan menyala dari jam 21:29:55 hingga jam 08:41:31, akan menyala lagi dari jam 17:40:13 hingga jam 18:14:51 dengan rata-rata konsumsi daya dalam satu hari adalah 543.14 Watt).

Veins projection performance based on ultrasonic distance sensor in various surface objects I Putu Adi Surya Gunawan; Riyanto Sigit; Agus Indra Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1362-1370

Intravenous therapy aims to inject fluids such as medicine or nutritions into the body via vein vessel. This procedure is needed in various cases whether in an ordinary or emergency. Every person has a different difficulty level thus a nurse usually encountered a problem when locating the position of vein vessel. A visualization device that able to work in realtime and have high mobility is really necessary for an emergency situation to speed up the intravenous access. In this study, a stand-alone veins visualization system was developed. The back-projection method that can adjust based on distance was used to speed up the visualization process. The distance between the device and the object is obtained by an ultrasonic distance sensor. The results of this projection method with a flat surface have maximum shift of 0.48 mm. While on various surfaces, projection shifts under 0.9 mm reach 89% from 140 measurement points. Projection shifts that reach more than 0.9 mm occurred due to the sensor readings are on steep curvature or large angles between segments and sensors.

Salinity Sensor Development for Pond Water Utilizing Ultrasonic Wave Dananjaya Endi Pratama; Agus Indra Gunawan; Rusminto Tjatur Widodo; Akhmad Hendriawan
Jurnal Segara Vol 18, No 2 (2022): August
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/segara.v18i2.10932

Shrimp farming is one of the most popular aquaculture activities in Indonesia. This activity is carried out in a pond. Therefore, there are many ponds as a place for shrimp farming in Indonesia. Several factors affect the results of shrimp farming in ponds. One of the factors is water quality. Four parameters that are commonly used to indicate water quality i.e. dissolve oxygen, salinity, PH, and temperature. In this study, we discussed salinity measurement. Most salinity sensors use the probe principle in measurement. When the sensors are used to measure the water that contains mineral salts, the probe will be susceptible to rust and cause measurement errors. Based on these conditions, we conducted a study of salinity measurements by using the acoustic technique. The measurement was carried out by using an ultrasonic wave. The water salinity was determined based on the acoustic intensity and acoustic speed. In this research, we developed a conversion curve based on the measurement of acoustic intensity from NaCl, KCl, and MgCl2 saline solutions with certain concentrations. The conversion curve is used to measure salinity in pond water. We also calculated salinity based on the measurement result of acoustic speed. From the experiment, the NaCl conversion curve became the most suitable for salinity measurement. The measurement result of salinity in pond water from the NaCl saline solution conversion curve was very close to the results of Del Grosso formula, Chen Millero formula, and refractometer.

Rancang Bangun Sistem Multipoint Transmitter – Receiver untuk Inspeksi Bawah Air Berbasis Ultrasonik Frekuensi Rendah Muhammad Edy Hidayat; Agus Indra Gunawan; Tri Budi Santoso
Jurnal Rekayasa Elektrika Vol 16, No 3 (2020)
Publisher : Universitas Syiah Kuala

Non-destructive testing and evaluation are testing techniques that test and evaluate the properties of a material, component, or system without causing any damage caused by the testing and evaluation process. Ultrasonic sensors are devices with minimal risk in their use and are quite often used in non-destructive testing and evaluation processes. Low frequency ultrasonic (200kHz) has been used in the testing and evaluation process in several scientific fields. Improving the test capability of low-frequency ultrasonic measurement instruments while remaining efficient and affordable is the core of this research. Increasing test capability and efficiency by adding five test points to a low-frequency ultrasonic measurement instrument for underwater inspections have been carried out by engineering a trigger signal generator that transmits 35kHz signals at 50V voltage proven to improve the quality of the echo signal received when compared to using trigger signal sourced directly from the wave generator device, the use of a pre-amplifier module on the receiver side of the echo signal is proven to be able to increase the voltage level of the echo signal and improve the reading value of the received echo signal, as well as the signal coupling mechanism built in this study, proved to be adequate to increase efficiency multipoint testing using one ultrasonicbased testing instrument.

Grid SVM: Aplikasi Machine Learning dalam Pengolahan Data Akuakultur Oskar Natan; Agus Indra Gunawan; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 15, No 1 (2019)
Publisher : Universitas Syiah Kuala

Water condition is the main factor that affects the success rate of aquaculture, especially in shrimp cultivation. However, the farmer often experiences difficulties in determining the condition which is stated based on the measurement of various water parameter. Therefore, a proper classification model is needed to help the farmer in classifying the water condition in a pond. By knowing the condition, then proper and correct treatment can be given. In this research, a machine learning algorithm called SVM is used to make a model from an aquaculture dataset. Another processing technique like data normalization and the usage of optimization algorithm named grid search is also performed to improve the modelling result. Furthermore, a test scheme with using k-fold cross-validation is performed to know the performance of the model which is measured by the value of accuracy, precision, recall, f-measure, and AUROC. Then, the SVM model is compared with several models which are made by using another machine learning algorithm such as KNN, CNB, RF, MLP, and LR in order to know the best model to be implemented on cultivation process. From the experiment results, the model which is made with SVM and grid search optimization has the best performance in the validation process with the performance score of 3.54383.

Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System Fithrotul Irda Amaliah; Agus Indra Gunawan; Taufiqurrahman Taufiqurrahman; Bima Sena Bayu Dewantara; Ferry Astika Saputra
Jurnal Rekayasa Elektrika Vol 19, No 1 (2023)
Publisher : Universitas Syiah Kuala

Since several years ago, vaname shrimp (Litopenaeus vannamei) has been extensively cultivated in Indonesia because it has good business opportunities. In aquaculture activities, water quality is an important factor that dramatically impacts the survival and quality of shrimp in the pond. Therefore, information of water quality must be known by the farmer for obtaining a satisfactory harvest. This study aims to develop a water quality monitoring system based on information of temperature, pH, salinity, and dissolved oxygen. The data from sensors are sent to the cloud utilizing Internet of Things (IoT) technology and then classified by a fuzzy logic system. In order to help farmers easily know the water quality of their shrimp pond, four sensor data including the result of classification from fuzzy logic are sent to the phone. After a trial of the system, 100% of the data are successfully sent to the cloud (google spreadsheet). The system also successfully classified the level of water quality as the expectation of the farmer. With this system, it is hoped that it can assist farmers in monitoring the water quality of shrimp pond to improve the quality and quantity of shrimp.

Handling Missing Value dengan Pendekatan Regresi pada Dataset Akuakultur Berukuran Kecil Ricky Afiful Maula; Agus Indra Gunawan; Bima Sena Bayu Dewantara; M. Udin Harun Al Rasyid; Setiawardhana Setiawardhana; Ferry Astika Saputra; Junaedi Ispianto
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Shrimp cultivation is strongly influenced by pond water quality conditions. Farmers must know the appropriate action in regulating water quality that is suitable for shrimp survival. The state of water quality can be understood by measuring pond parameters using various sensors. Installing sensors equipped with artificial intelligence modules to inform water quality conditions is the right action. However, the sensor cannot be separated from errors, so it results in not being able to get data or missing data. In this case, the approach of 5 parameters of pond water quality from 13 available parameters is carried out. This paper proposes a technique to obtain lost data caused by sensor error and looks for the best model. A simple approach can be taken, such as the Handling Missing Value (HMV), which is commonly used, namely the mean, with the K-Nearest Neighbors (KNN) classifier optimized using a grid search. However, the accuracy of this technique is still low, reaching 0.739 at 20-fold cross-validation. Calculations were carried out with other methods to further improve the prediction accuracy. It was found that Linear Regression (LR) can increase accuracy up to 0.757, which outperforms different approaches such as the statistical approach to mean 0.739, mode 0.716, median 0.734, and regression approach KNN 0.742, Lasso 0.751, Passive Aggressive Regressor (PAR) 0.737, Support Vector Regression (SVR) 0.739, Kernel Ridge (KR) 0.731, and Stochastic Gradient Descent (SGD) 0.734.

Pengukuran Speed dan Impedansi Akustik pada Tanah Liat dengan Memanfaatkan Sinyal Echo Ultrasonik Lusiana Lusiana; Agus Indra Gunawan; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 15, No 2 (2019)
Publisher : Universitas Syiah Kuala

Each material has its own characteristics, which are represented by the value of speed/ultrasonic wave propagation speed (C) and acoustic impedance/material resistance (Ztl). One technique that can be used to obtain these characteristics is by applying ultrasonic testing. This technique utilizes two ultrasonic sensors as transmitter (UST) and receiver (USR) to get signal properties from each material. The measurement mechanism is nondestructive testing (NDT) where the material tested is not damaged so it does not change the character of the sample. In this research, material characteristics are represented by reflected signals from material (echo). To process the echo signal data and get the characteristics of the sample, we need a number of data processing algorithms such as Fast Fourier Transform (FFT), Peak Detection, and Grid Search. By processing echo from reflected signals, C and Ztl values can be obtained. From the experimental results obtained, the values of C and Ztl in sample 1 with a density of 1856.97573 g/m3 are C = 636 m/s and Ztl = 474640 Ns/m3, samples 2 with a density of 1792.94208 g/m3 of C = 491 m/s and Ztl = 408080 Ns/m3, while the sample 3 with a density of 1663.85025 g/m3 is C = 434 m/s and Ztl = 405639 Ns/m3. The value of material characterization shown that a dense clay also has higher C and Ztl.

Karakterisasi dari Properti Larutan Garam dengan Range Finder Ultrasonik Menggunakan Metode Transformasi Fourier Ihwan Dwi Wicaksono; Agus Indra Gunawan; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 16, No 2 (2020)
Publisher : Universitas Syiah Kuala

In this paper we characterize the saline solution using Range Finder Ultrasonic (RFU). RFU is one kind of ultrasonic transducer that requires air as a transmission medium and commonly are used to determine distances. The advantages of this transducer are cheap and common in local market. Since it uses air as medium, the signal which is produced by transducer are easy to shape shift and has a very long noise tail wave. This phenomenon was seen in previous studies, when the transducer position was slightly shifted, the shape of the echo signal became very different. In this paper, we modified the input signal from the technique in the previous paper to improve the echo signal. Some modification of trigger signal from transmitter models were done, then calculate the echo signal to ensure the signal have smallest Signal to Noise Ratio (SNR) and noise tail wave. Furthermore, we did filtering process from echo signal and calculating using Fourier Transform which are performed to obtain accurate echo signal information of 40 KHz frequency. The results of this experiment is an improvement in the average error of calibration curve 0.1224221 (Vrms) and 0.14383881 (Vpeak). While the average error of the results of the normalization of the magnitude Fourier Transform of 40 KHz frequency is equal to 0.096973114.

Co-Authors Akhmad Hendriawan Ardik Wijayanto Bambang Sumantri Bima Sena Bayu Dewantara Dananjaya Endi Pratama Farid Amrinsani Ferry Astika Saputra Fithrotul Irda Amaliah I Putu Adi Surya Gunawan Ihwan Dwi Wicaksono Junaedi Ispianto Lusiana Lusiana M Udin Harun Al Rasyid, M Udin Harun Muhammad Edy Hidayat Muhammad Furqon Oskar Natan Ricky Afiful Maula Riyanto Sigit Rusminto Tjatur Widodo Setiawardhana Setiawardhana Taufiqurrahman Taufiqurrahman Tri Budi Santoso Tri Budi Santoso Zainal Arief

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