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Agung Tjahjo Nugroho
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Journal of Electronics and Instrumentation
Published by Universitas Jember
ISSN : -     EISSN : 30323398     DOI : https://doi.org/10.19184/jei
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics
Artikel JEI ditekankan pada aplikasi Elektronika dan Instrumentasi diberbagai bidang ilmu sains dan teknologi, seperti Fisika Material, Fisika Nuklir, Geofisika, Biofisika, Biologi, Kimia, Elektronika, Geografi, Fisika Kebumian, Fisika Kelautan, Fisika Lingkungan, Astronomi, dan ilmu science lainnya. JEI membagi fokus menjadi dua yaitu: fokus aplikasi Elektronika dan fokus aplikasi instrumentasi.
Arjuna Subject : Fisika dan Astronomi - Instrumentasi
Articles 7 Documents
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Search results for , issue "Vol. 1 No. 2 (2024)" : 7 Documents clear
Sistem Pengukuran Tingkat Kekeruhan Air (Turbidity) Dengan Metode Spektrofotometri Astuti, Erviana Widia; Izzatul Hasanah; Albertini Magdalena Sitorus; Nurul Fatma Hidayati
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.684

Abstract

Understanding water turbidity is crucial for water supply, aquatic ecosystems, and water resource management. Poor water quality can harm human health and the environment. Testing water turbidity in water treatment is important. Turbidity reflects the optical properties of water influenced by suspended solids. Conventional methods, such as turbidimeters, are considered expensive for large-scale measurements. The development of a simple method using spectrophotometry is important as it can measure turbidity using light absorbed and emitted by substances in water. This research aims to determine the relationship between variations in illumination angles and turbidity values of each solution to light intensity and resistance. Spectrophotometry is an experimental method to measure water turbidity based on light passing through a solution with varied illumination angles (0^0, 45^0, 90^0). This study was conducted with three samples of mixed water solutions (50 ml) and soil treated with turbidity variations (10 g, 20 g, 30 g of soil). Turbidity values were calculated based on the sensitivity equation of the SEN0198 sensor. Linear regression analysis was performed to analyze the relationship between solution scattering angles and turbidity with the ratio of initial to final light intensity (I/I_0) and the resulting resistance. The obtained results are the turbidity of solutions 1, 2, and 3, respectively, are 59.590 NTU; 116.879 NTU, and 157.432 NTU. The light intensity ratio (I/I_0) of solution 1 at angles (0^0, 45^0, 90^0) is 0.147; 0.121; and 0.031, and the resistances are 20.8; 24.5; and 58.6 KΩ. The light intensity ratio (I/I_0) of solution 2 at the same angles is 0.147; 0.076; and 0.045, and the resistances are 22.5; 38.4; and 43.2 KΩ. Solution 3 has I/I_0 at the same angles successively 0.040; 0.027; and 0.022, and resistances of 54.2; 62; 63 KΩ. Therefore, the variation in illumination angles is inversely proportional to I/I_0 but directly proportional to resistance in each solution. Additionally, the turbidity values of the solution are inversely proportional to I/I_0 but directly proportional to resistance. The influence of the spectrophotometry measurement system is more significant at a 45^0 illumination angle and in solution 2 with turbidity 116.879 NTU.
Analisis Pengukuran Jarak Objek Dengan Sensor Ultrasonik(HC-SR04) untuk Berbagai Bentuk Objek Safhira Aulia Nurazizah; Zainatul Khasanah; Risqillah Ayu Puspita S; Moh Avin Annabil
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.687

Abstract

This experiment aims to determine the effect of the shape of the object on the distance and reading frequency of the HC-SR04 ultrasonic sensor and how far away the object is captured by the sensor. The method used is the experimental method and data analysis. This method is used to make it easier to obtain data. This experiment was carried out by varying the distance of 10 cm with obstacles (objects) of different sizes from the sensor until the object could not be detected by the sensor. The data obtained is in the form of calculated distances and frequency values. This data is then processed using MS Excel. The results obtained are in the form of analysis tables and graphs. The experimental results show that the distance of the object affects the frequency produced by the HC-SR04 ultrasonic sensor. The farther the object is, the lower the resulting frequency. Variations in object shape also affect the frequency produced by the HC-SR04 ultrasonic sensor. Objects that have a square shape will produce a higher frequency than objects that have a round shape. This research provides information about the influence of distance and variations in object shape on the frequencies produced by the HC-SR04 ultrasonic sensor. This information can be used to improve the accuracy of distance measurements using the HC-SR04 ultrasonic sensor. The largest average error value obtained was 0.13%, namely in experiments using a spherical object with a diameter of 2.5 cm. The smallest average error value obtained was 0.01%, namely in the experiment using a box object measuring 2x3 cm
Identifikasi Suara Jantung Normal dan Abnormal Menggunakan Metode K-Nearest Neighbors Silvi Dwiyanti; Rasidi, Ahmad Haris; Sitorus, Albertini Magdalena; David Linda Lidapranata
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.690

Abstract

Kesehatan manusia adalah kondisi fisik, mental, dan sosial yang optimal dari seseorang, yang mempengaruhi kualitas hidup dan kesejahteraan. Jantung adalah organ vital yang bertanggung jawab untuk memompa darah ke seluruh tubuh, membawa oksigen dan nutrisi yang dibutuhkan oleh sel-sel. Jantung juga berperan dalam menjaga keseimbangan cairan, tekanan darah, dan suhu tubuh. Penyakit jantung dapat menyebabkan berbagai komplikasi, seperti serangan jantung, gagal jantung, aritmia, stroke, dan kematian mendadak. Penelitian suara detak jantung ini bertujuan untuk mengklasifikasikan detak jantung sehat dan tidak sakit melalui audio digital. Selain itu, penelitian ini juga dapat memberikan pengetahuan mengenai karakteristik jantung yang sehat dan sakit melalui ekstraksi audio digital. Data penunjang yang akan digunakan sebagai dasar penelitian ini adalah suara detak jantung pada saat jantung tersebut dalam keadaan sehat dan sakit. Metode yang digunakan pada penelitian ini yaitu ekstraksi audio digital dengan menggunakan beberapa parameter yaitu chroma feature, short-time fourier transform, root mean square (rmse), spectral centroid, spectral bandwidth, spectral rolloff, zero-crossing rate, mel-frequency cepstral coefficients (MFCC). Hasil penelitian adalah nilai k bernilai 1 memiliki tingkat akurasi 80% dan presisi sebesar 87,5%.
Deteksi Fitur Wajah pada Hasil Usg 3D Janin dengan Algoritma Viola-Jones Hikmatul Wilda; Kholifah, Nurul; Desy Fitri Wulandari; Ainayya Halifah
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.703

Abstract

Ultrasound (Ultrasonography) is a medical imaging technology used for monitoring fetal development during pregnancy. It produces visual images that support the process of medical diagnosis and pregnancy monitoring. Image processing is used to process and analyze digital images, providing valuable additional information. One of the methods used in image processing is the Viola-Jones algorithm. The Viola-Jones algorithm is commonly used to detect objects in image processing and computer vision, especially human faces. Face detection using the Viola-Jones algorithm can be implemented using software such as Matlab and Python. However, in this experiment, there were difficulties in using the Viola-Jones algorithm to detect baby ultrasound images. This is caused by the position seen from the side in the baby's ultrasound image and the uniformity of color throughout the face. In fact, some features such as eyebrows and eyes are difficult to recognize clearly. In addition, the resulting training files may not provide consistent results on other samples due to complex variations in infant ultrasound images.
Karakterisasi Sistem Sensor LDR Berdasarkan Perbedaan Panjang Gelombang Cahaya Kholifah, Nurul; Ratna Arum Febrianti; Gladyns Anandita Yasmin; Nurul Fatma Hidayati
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.704

Abstract

LDR is a type of resistor whose resistance value is influenced by light. LDRs can have varying sensitivity and linearity depending on the type of LDR used. LDR light sensors have different sensitivities to each color variation of light that hits them with their respective wavelengths. An LDR with high sensitivity will show a greater change in resistance when there is a change in the level of light received. LDR linearity is a measure of the extent to which its resistance response to changes in light levels is linear or not. This experiment uses two types of circuits, namely series and parallel circuits to obtain current values ​​when the light intensity is varied in order to test the sensitivity and linearity of the LDR sensor. The LED color variations used are white, red, green and blue. The circuit that produces a large current is a parallel circuit, but in a system with red and blue LEDs the opposite happens, there is a small difference which causes the current in the series circuit to be greater. The R square value in the regression value data for voltage and intensity against the resistance of each LED color starting from white, red, green and blue respectively is 0.868747; 0.765793; 0.833222; and 0.798801.
Klasifikasi Tangisan Bayi Menggunakan Parameter Pitch Dengan K-Nearest Neighbors Ainayya Halifah; Agung Tjahjo Nugroho; Wenny Maulina
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.880

Abstract

Baby crying is a basic and important thing for mothers or caregivers to understand. In general, young mothers who do not receive guidance from experienced people, usually interpret baby crying as a sign of hunger only, even though crying in babies has different meanings or types of crying depending on the trigger/cause of crying. This study was conducted to establish the characteristics of the cause of infant crying through pitch parameters formed in the Bag of Features and determine the accuracy of the resulting classification. The feature extraction and classification methods used in this research are pitch, Bag of Features and K-Nearest Neighbor. Pitch feature extraction is done by changing the range parameters and methods in estimating the fundamental frequency. The range and method used in this research are (70,170) and PEF. The baby cries used for this study were taken in two ways, namely downloading Dunstan Baby Language and field measurements based on the perception of mothers and medical personnel. The types of infant cries used in this study were burpme, hungry, lower wind pain, tired, uncomfortable and pain. The results of this study show that the sequence of DBL baby cry labels that have a high average fundamental frequency probability value based on the Bag of Features histogram are tired (0.290), lower wind pain (0.207), hungry (0.206), burpme (0.182) and uncomfortable (0.090) while the sequence of baby cry labels from measurement data shows that the sick label has a higher average fundamental frequency, which is 0.200 when compared to the hungry label whose average fundamental frequency is 0.064. The classification accuracy results obtained between the DBL database test and the measurement database using K-Nearest Neighbor look optimal, which is 92% and 98%.
Cover Volume 1 Nomor 2
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

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

Abstract

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