Jurnal Teknik Elektro最新文献

{"title":"Deep Learning for Investment Risk Analysis, Expected Return and Stock Market Prediction","authors":"Widi Hastomo, Adhitio Satyo Bayangkari Karno, Masriyanda Masriyanda, Ellya Sestri, Aqwam Rosadi Kardian, Nada Kamilia, Aries Sundoro, I. J. Dewanto, Nur Azis, Ahmad Rasyidin","doi":"10.15294/jte.v14i2.45002","DOIUrl":"https://doi.org/10.15294/jte.v14i2.45002","url":null,"abstract":"Ability For analyze prediction mark something share going up or down as well as level possible risk _ taken into account , much needed stock investors . In study this done analysis risk and correlation between share with calculate daily returns use method moving averages (MA). Besides that with a dataset of 4 stocks (Apple, Google, Microsoft and Amazon) also performed prediction mark stock in period time next (future), with use neural network method (deep learning) Long Short Term Memory (LSTM) model. Result of programming in python language in the form of a number of visualization easy graph _ reading information . Changes in sales volume share No happen in a manner significant , though from term MA chart short and long to four share tend experience decline price since month January to May 2022. Correlation highest 75% between shares of Google and Microsoft, and the lowest 60% between Apple and Google shares. From analysis risk and expected return, obtained results shares Amazon has risk the highest (0.022059) and the lowest expected return (-0.000003). Apple shares with medium risk ( 0.019926 ) and the highest expected return (0.001283). While 2 shares finally Google and Microsoft have risk small below 0.018 with expected return at the level are respectively 0.001019 and 0.000784. predictions time future with the LSTM model, indicating Apple , Google and Amazon will experience increase price stock , meanwhile decline price share will happened at Microsoft.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"33 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140372809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Convolutional Neural Networks for Automated Detection and Grading of Diabetic Retinopathy from Fundus Images","authors":"Ibnu Uzail Yamani, Basari Basari","doi":"10.15294/jte.v15i2.48769","DOIUrl":"https://doi.org/10.15294/jte.v15i2.48769","url":null,"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 Diabetic Retinopathy. 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.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"51 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140371532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sequential Detection under Correlated Observations using Recursive Method","authors":"F. Y. Suratman, Istiqomah Istiqomah, Dien Rahmawati","doi":"10.15294/jte.v15i2.46941","DOIUrl":"https://doi.org/10.15294/jte.v15i2.46941","url":null,"abstract":"Sequential analysis has been used in many cases when the decision is supposed to be taken quickly such as for signal detection in statistical signal processing, namely sequential detector. For identical error probabilities, a sequential detector needs a smaller average sample number (ASN) than its counterpart of a fixed sample number quadrature detector based on Neyman-Pearson criteria. The optimum sequential detector was derived based on the assumption that the observations are uncorrelated (independent). However, in realistic scenario, such as in radar, the assumption is commonly violated. Using a sequential detector under correlated observations is sub-optimal and it poses a problem. It demands a high computational complexity, since it needs to recalculate the inverse and the determinant of the signal covariance matrix for each new sample taken. This paper presents a technique for reducing the computational complexity, which involves using recursive matrix inverse to subsequently calculate conditional probability density functions (pdf). This eliminates the need to recalculate the inverse and determinant, leading to a more reasonable solution in real-world scenario. We evaluate the performance of the proposed (recursive) sequential detector by using Monte-Carlo simulations and we use the conventional and non-recursive sequential detectors for comparisons. The results show that the recursive sequential detector has equal probabilities of false alarm and miss-detection with the conventional sequential detector and performs better than the non-recursive sequential detector. In terms of ASN, it maintains comparable results to the two conventional detectors. The recursive approach has reduced the computational complexity for matrix multiplication to   from  and it also has rendered the calculation of matrix determinant to be unnecessary. Therefore, by having better probabilities of error and reduced computational complexities under correlated observations, the proposed recursive sequential detector may become a viable alternative to obtain a more agile detection system as required in future applications, such as in radar and cognitive radio.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"67 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140371580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vivaldi Tapered Slot Antenna for Microwave Imaging in Medical Applications","authors":"Randy Ivanal Hakim, Daffa Mahendra, E. Endarko","doi":"10.15294/jte.v15i2.43955","DOIUrl":"https://doi.org/10.15294/jte.v15i2.43955","url":null,"abstract":"Microwave imaging has become an active research area in recent years, owing primarily to advancements in detecting the early stages of cancer. The study aimed to create a high-gain compact Vivaldi Tapered Slot antenna (VTSA) for microwave imaging in medical applications and also aims to address several challenges in the development of microwave imaging (MWI) technology for medical applications. These challenges include the ability to detect and identify abnormalities in human tissue and considering safe Specific Absorption Rate (SAR) limits for patients, the approach of balancing of penetration and resolution can be done on the design. The antenna operates at frequencies ranging from 1.7 to 3.1 GHz and is built on a low-cost Flame Retardant-4 (FR-4) substrate with a thickness of 1.6 mm. A compact exponential VTSA is initially presented while designing the proposed antenna for broad impedance bandwidth performances. The simulation used a back-to-back linear array of antennas with or without a phantom, specifically a without phantom (only antennas), a water phantom (cube shape), and an anomaly inside the water phantom. The results revealed a significant shift in the signal graph between the three results, indicating a difference in values between the three simulations. A transient domain solver calculation was used in the simulation. The designed antenna improved a gain of 6.09 dBi and a SAR of 0.326 W/kg by maximizing the edges of the exponential in the tapered section and the feedline slot area. The antenna exhibits differences in scattering parameters on each simulation of anomalies across the required frequency range. The result finds suitability of the experiment and simulation in assessing the microwave imaging capabilities. With the data presented, simulated antennas can be used for microwave imaging. The next study should aim on making a suitable imaging system with dimensions that supported in the antenna range and specifications.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"67 s306","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140394505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracing Knowledge States through Student Assessment in a Blended Learning Environment","authors":"Indriana Hidayah, Ebedia Hilda Am","doi":"10.15294/jte.v15i2.47861","DOIUrl":"https://doi.org/10.15294/jte.v15i2.47861","url":null,"abstract":"Blended learning has recently acquired popularity in a variety of educational settings. This approach has the advantage of being able to autonomously monitor students' knowledge states using the collected learning data. Moodle is the most widely used learning management system in blended learning environments. Students can access Moodle to obtain supplementary materials, exercises, and assessments to complement their face-to-face meetings. However, its performance can be improved by more effectively tailoring students' skills and pace of learning. Several studies have been conducted on knowledge tracing; however, we have not discovered any studies that particularly investigate knowledge tracing in a blended learning setting with Moodle as a component. This study proposes a scheme for assessment using the features of the Moodle quiz platform. The assessment data is used to conduct knowledge tracing with the Bayesian Knowledge Tracing (BKT) model, which improves interpretability. The aforementioned data were collected from information engineering undergraduate students who completed 88 exercises that assessed 23 knowledge components within the course. We measure RMSE and MAE to evaluate the performance of the BKT model on our dataset. Furthermore, we compare the knowledge tracing performance to other well-known datasets. Our results show that the BKT model performed better with our dataset, with an RMSE of 0.314 and an MAE of 0.197. Moreover, the BKT model can be used to assess student performance and determine the level of mastery for each knowledge component. Thus, the outcomes can be applied to personalized learning in the future.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"122 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140457167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Controlling the Output Voltage of a Step Up-Down Five-Level Inverter","authors":"Leonardus Heru Pratomo, Slamet Riyadi, Agengkarunia Cahyadi Wibawa","doi":"10.15294/jte.v15i1.43877","DOIUrl":"https://doi.org/10.15294/jte.v15i1.43877","url":null,"abstract":"The increasing demand for electrical energy must be balanced with using renewable energy. However, the use of renewable energy requires a system to maximize the conversion of renewable energy into electrical energy. Various topologies have been studied to achieve maximum energy conversion. Two types of inverters, namely step up-down, have been widely used but have their respective limitations. Step-down inverters can only be used in lower output voltage than input voltage conditions with simple control, while step-up inverters can only operate in higher output voltage than input voltage conditions. This paper aims to combine these two converters to have both step-up-down voltage functions, with the goal of expanding the operating range and maintaining the advantages of each type. Thus, a topology called a step-up-down five-level inverter with a simple voltage-controlled capacitor balancing system is proposed in this paper. Finally, the simulation and laboratory tests were done. This inverter operates in step-up-down voltage, and the voltage in capacitors is always balanced to reach the desired level. The voltage control was done to get the constant voltage event the load was changed.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"26 Suppl 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135586322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prototipe Robot Pramusaji Untuk Mengantar Makanan","authors":"Albryan Edwardo, Thiang ., Handry Khoswanto","doi":"10.9744/jte.15.2.60-66","DOIUrl":"https://doi.org/10.9744/jte.15.2.60-66","url":null,"abstract":"Pandemi COVID-19 ini masyarakat dihimbau untuk menjaga jarak dan tidak memperbesar kerumunan. Agar tetap dapat melayani pelanggan namun tidak memberbesar kerumunan dan tetap menjaga jarak, maka dalam penelitian ini dikembangkanlah membuat prototipe robot pramusaji yang dapat mengantarkan makanan dari satu meja ke meja lain menggunakan metode line following. Robot akan berjalan dari dapur ke meja pelanggan dengan mengikuti garis hitam yang terpasang disekitar meja. Dalam sekali pengantaran makanan, robot dapat mengantar makanan ke 2 destinasi meja sekaligus. Hasil dari pengujian ini dapat disimpulkan bahwa robot ini mampu mengantarkan makanan dari dapur atau garasi ke destinasi meja pertama dan meja lain lalu kembali dalam waktu 1,5-2 menit, mampu mendeteksi halangan 8-30 cm dengan baik dengan tingkat keberhasilannya 100%. Namun memiliki kelemahan seperti kesalahan desain line follower yang dipasang ditengah robot sehingga pergerakan robot menjadi kurang baik. Ketika robot berjalan miring dari awal robot berjalan, maka perjalanan selanjutnya akan terus miring dan sulit untuk kembali berjalan lurus. \u0000  \u0000Kata Kunci— Prototipe robot Pramusaji, line following, Arduino Mega 2560.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"5 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86521263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PENGGUNAAN TEKNOLOGI NFC UNTUK AKSES INFORMASI DI LABORATORIUM TELEMATIKA UK PETRA","authors":"James David TM, Iwan Handoyo Putro","doi":"10.9744/jte.16.1.15-18","DOIUrl":"https://doi.org/10.9744/jte.16.1.15-18","url":null,"abstract":"Laboratorium Telematika dalam kesehariannya bertugas melakukan pelayanan baik peminjaman alat, praktikum maupun kunjungan dari institusi lain. Terkait kunjungan, ketersediaan informasi dari perangkat yang ada menjadi kebutuhan utama. Karena itu, digunakanlah teknologi NFC yang terdapat pada kebanyakan model smartphone baru sehingga mahasiswa dan pengunjung tidak bergantung pada asisten laboratorium untuk bisa mendapatkan jawaban pertanyaan-pertanyaan seputar peralatan di Laboratorium. Sistem yang disusun terdiri dari aplikasi mobile, server, database, dan website ini mampu untuk memberikan penjelasan dan spesifikasi seputar alat-alat jaringan komputer yang ada di laboratorium. Selain mengguakan NFC, sistem ini juga menggunakan QR Code sebagai alternatif bagi smartphone yang tidak memiliki NFC.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82842331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemasangan Dan Pembuatan Sistem Monitoring Pada Solar Panel Berkapasitas 450 Wp Di Smp Kristen Petra 2 Surabaya","authors":"Cindy Clarisa Gunawan, H. Tumbelaka, Thiang .","doi":"10.9744/jte.15.2.54-59","DOIUrl":"https://doi.org/10.9744/jte.15.2.54-59","url":null,"abstract":"SMP Kristen Petra 2 adalah SMP swasta yang ada di Surabaya. SMP ini memiliki program sekolah entrepreneur yang mengajarkan bagaimana menghasilkan keuntungan, salah satu caranya dengan menghemat energi yang digunakan. Cara menghemat energi ini bisa dengan menggunakan solar panel. Tidak dipungkiri bahwa pada rangkaian solar panel akan mengalami gangguan jika tidak dilakukan maintenance secara rutin. Maka dari itu dibuatlah sebuah alat yang dapat membaca dan memantau arus dan tegangan yang dapat dipantau dari jarak yang jauh yaitu sebuah sistem monitoring. Sistem ini menggunakan 3 buah sensor dimana terdapat 2 sensor arus dan 1 sensor tegangan. Semua Sensor yang terpasang dikendalikan oleh alat mikrokontroler ESP32. Mikrokontroler ini difungsikan untuk menerima, mengelola dan mengirim data dari pembacaan sensor. Hasil dari pembacaan ditampilkan dalam web dan juga dalam LCD yang telah terpasang. Sebelum memasang sensor dilakukan Pengujian dalam pembacaan sensor dengan melakukan beberapa percobaan yaitu dengan memberikan beberapa macam beban yang berbeda-beda (untuk sensor arus) dan beberapa macam sumber tegangan yang berbeda-beda (untuk sensor tegangan). Hasil yang diperoleh dari percobaan adalah sensor arus memiliki selisih pembacaan 0.5A-0.6A sensor ini tidak dapat membaca arus di bawah 1A. Hasil pengujian sensor tegangan memiliki selisih pembacaan 0.73V sensor ini tidak dapat membaca tegangan dibawah 0.73V. \u0000Kata Kunci: Solar Panel, ESP32, Sensor Tegangan DC, Sensor Arus ACS712, Modul I2C, Buzzer.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79056969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SISTEM JEMURAN PAKAIAN DENGAN PELINDUNG HUJAN OTOMATIS","authors":"Bryan Aritama, Thiang ., Handry Khoswanto","doi":"10.9744/jte.16.1.19-23","DOIUrl":"https://doi.org/10.9744/jte.16.1.19-23","url":null,"abstract":"Pada zaman modern ini penggunaan apartemen dan rumah susun semakin meningkat dan ruang pada bagian balkon relative kecil sehingga banyak orang kekurangan ruang untuk menjemur pakaian dan pakaian yang dijemur pun memiliki resiko terkena hujan. Oleh karen aitu penelitian ini memiliki tujuan untuk membuat jemuran pakaian yang bisa memanjang dan memendek di balkon berukuran kecil dan memiliki pelindung hujan yang dapat terbuka saat terjadi hujan. Sistem jemuran pakaian dengan pelindung hujan otomatis menggunakan arduino uno sebagai kontroler. Sensor ultrasonic HC-SR04 digunakan untuk membaca jarak obyek dari jemuran. Sensor hujan digunakan untuk mengetahui apakah terjadi hujan. Limit switch digunakan untuk mengetahui posisi jemuran dan pelindung hujan. Sistem jemuran pakaian dengan pelindung hujan otomatis menggunakan motor DC untuk membuka dan menutup jemuran pakaian dan pelindung hujan. Modul H-bridge L298N digunakan untuk mengatur arah putar motor. Berdasarkan pengujian yang telah dilakukan, jemuran pakaian dapat membuka dan menutup secara otomatis berdasarkan nilai jarak antara sensor ultrasonic dengan obyek. Pelindung hujan juga dapat membuka dan menutup secara otomatis berdasarkan nilai dari sensor hujan. Dari hasil pengujian, jemuran dapat membuka dan menutup dengan baik sampai dengan beban maksimal 5kg.","PeriodicalId":33631,"journal":{"name":"Jurnal Teknik Elektro","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84495429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}