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All Journal JTERA (Jurnal Teknologi Rekayasa) Journal of Applied Computer Science and Technology (JACOST) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
FENI ISDARYANI
Politeknik Negeri Bandung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Sistem Pengenalan Penggunaan Masker dan Pemantauan Suhu Penumpang Pesawat Menggunakan Sensor Fusion Feni Isdaryani; Noor Cholis Basjaruddin; Aldi Lugina
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1503.82 KB) | DOI: 10.22146/jnteti.v11i2.3835

Abstract

Transportation is currently an unavoidable necessity. However, the COVID-19 pandemic has impacted all lines of industry, including the Indonesian aviation transportation industry. Technology is one of the solutions to deal with these problems. The monitoring system of masked face recognition and body temperature detection for the check-in process of passengers at the airport is aimed to be developed in this research. The contribution of this research is that the system can distinguish the type of face mask used. Therefore, this monitoring system classified only medical masks and N95/KN95 respirator masks as ‘Good Masked’. IP camera and thermal camera are used to identify a masked face and body temperature, respectively. The sensor fusion method was used for decision-making on passengers whether they can be departed or not. The decision was taken based on the measured body temperature, the use of standardized face masks, and the face recognition of the airport passengers. Convolutional neural network (CNN) method was used for face and face mask recognition. The CNN model training was conducted four times according to the four proposed scenarios. The CNN model that has been trained can distinguish a masked face and a face without a mask. The best results were obtained in the fourth scenario with the comparison of the training dataset to the testing dataset was 9:1 and the epoch was 500 times. The basic deep learning model used for face detection was the single shot multibox detector (SSD) using the ResNet-10 architecture. Meanwhile, the CNN method with the MobileNetV2 architecture was used to detect the use of masks. The accuracy of the CNN model for face recognition and mask recognition was 100%. All check-in monitoring and verification process data were displayed on the web application which was built on the localhost.
Implementasi Sistem Kendali ON-OFF pada Field Programmable Gate Array (FPGA) Yohanes B. Gunawan Sugiarta; Feni Isdaryani; Dianthika Puteri Andini; Rina Hikmawati
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 1: June 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i1.2022.31-38

Abstract

Field Programmable Gate Array (FPGA) adalah komponen semikonduktor yang didasarkan pada matriks blok logika yang dapat dikonfigurasi oleh pemakainya dan terhubung melalui interkoneksi yang programmable. FPGA dapat diprogram sesuai dengan aplikasi atau fungsi yang diperlukan oleh pengguna. Untuk menunjang ilmu pengetahuan di bidang teknik elektronika, maka perlu adanya media pembelajaran mengenai dasar pengunaan dan penerapan FPGA. Oleh karena itu, pada penelitian ini dibuatlah modul simulator kendali ON-OFF menggunakan FPGA. Terdapat dua pendekatan yang digunakan dalam membangun kendali ON-OFF, yaitu ON-OFF murni dan ON-OFF menggunakan waktu tunda, dimana waktu tunda ini didefinisikan menggunakan logika counter. Seluruh perancangan algoritma pengendali menggunakan deskripsi VHSIC Hardware Description Language (VHDL). Hasil implementasi menunjukkan bahwa respon dapat sesuai dengan kondisi yang diinginkan. Untuk kondisi ON-OFF dengan logika counter, motor DC dapat ON selama 5 detik selanjutnya OFF secara otomatis sesuai dengan behaviour yang diinginkan.
Flight Controller Design for Altitude Control of a Quadcopter using PID and Fuzzy Methods Feni Isdaryani; Muhammad Nauval Shidiq; Yoshiadi Wicaksono; Noor Cholis Basjaruddin
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 2: December 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i2.2022.251-258

Abstract

A quadcopter can be manually controlled or can be autonomous. Therefore, a control system is needed to support the quadcopter's movement. PID and fuzzy control are used in this research to adjust the quadcopter's altitude position. The control system proposed in this research is to keep the quadcopter at a certain altitude. The control system design uses a PID controller, where the control parameters are obtained using the Ziegler-Nichols 2 tuning method. Ziegler-Nichols 2 tuning method is used to obtain the parameters Kp, Ti, and Td. PID control tuning becomes a reference for fuzzy control design in determining input and output membership functions and the rules. Also, in this study, the flight controller board design is proposed. The experiment results show that the PID control has a faster rise time of 0.2 seconds, a better maximum overshoot of 1.56%, a quicker settling time of 1.69 seconds, and a steady-state error of 0% compared to the fuzzy control. The result shows that the use of PID control is more suitable for proposed quadcopter plants because it requires a fast output response. 
Visual Servoing pada Ball-on-Plate dengan Kendali PID dan Filter Kalman Martin Martin; Deni Ramdani; Yana Sudarsa; Feni Isdaryani
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 2: December 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i2.2022.295-300

Abstract

Ball-on-plate merupakan sebuah sistem yang dapat menyeimbangkan sebuah bola di atas papan datar pada titik tertentu. Sistem ini merupakan bagian dari ilmu visual servo control yang menggunakan sensor kamera sebagai umpan balik sistem. Penelitian ini bertujuan menggunakan kendali PID untuk menyeimbangkan bola di atas papan dan sensor kamera dengan filter Kalman untuk mendeteksi objek. Proses membaca gerakan bola menggunakan algoritma pendeteksi objek berdasarkan filter Kalman, kemudian pendeteksian objek menghasilkan koordinat kartesian X dan Y. Koordinat tersebut merupakan umpan balik sistem pada kendali ball-on-plate. Sistem ini memiliki masukan berupa koordinat X dan Y, masukan tersebut akan dibandingkan dengan umpan balik sehingga didapatkan error posisi bola. Kendali PID mendapatkan masukan berupa nilai error posisi, kemudian akan menghasilkan nilai PWM untuk menggerakan servo sumbu X dan sumbu Y. Seluruh proses pendeteksian dan pengendalian dilakukan dengan embedded system menggunakan minicomputer. Hasil penelitian menunjukkan filter Kalman dapat bekerja dengan baik dengan parameter Q_frame sebesar 0,001, Q_rate sebesar 0,003, dan R sebesar 0,001. Sistem kendali PID dapat mengendalikan posisi bola dengan membutuhkan waktu 21,31 detik untuk mencapai setpoint.
SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier Rida Hudaya; Hepi Ludiyati; Feni Isdaryani; Muhamad Rafhi Rihadatus Syawal; Julian Harith Al Banny Hudaya
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.544

Abstract

Indonesia is the largest exporter of edible bird’s nest (EBN) to China, involving many EBN farmers from various regions in Indonesia. Therefore, a portable device is needed to rapidly and accurately measure the required quality of SBW to avoid rejection by Chinese buyers, which could result in significant losses. Consequently, for this purpose, an electronic instrument has been developed. smartAgro-Spectral is a microcontroller-based electronic instrument that measures nitrite content in edible bird’s nest (EBN) using linear regression method in machine learning calculations. This instrument can measure nitrite content based on the intensity of colors produced by EBN products. The coloring process is carried out by mixing EBW powder with Sulphanilamide solution and N-(1-naphthyl) Ethylenediamine Dihydrochloride (NED) solution. The concentration of EBN solution is normalized to values between 0.2 ppm and 0.7 ppm. The measurement process is carried out by emitting 18 waves of the light spectrum. The intensity of the 18 wavelengths of the measured light spectrum was selected based on the strong correlation between the intensity of the light spectrum and the value of nitrite content in the EBN product. The measurement results show that the intensity of the light spectrum that has a strong linear correlation is at wavelengths of 460 nm, 485 nm, 510 nm, 535 nm, and 610 nm. So, smartAgro-Spectral electronic instruments can be realized based on the intensity relationship of each wavelength through multiple linear regression analysis, and are able to linearly measure nitrite content in EBW products with a precision level of 99.85% and an accuracy rate of 99.85%.
Co-Authors Aldi Lugina Deni Ramdani Hepi Ludiyati Hudaya, Rida Julian Harith Al Banny Hudaya Martin Martin Muhamad Rafhi Rihadatus Syawal Muhammad Nauval Shidiq Noor Cholis Basjaruddin Rina Hikmawati Yana Sudarsa Yohanes B. Gunawan Sugiarta Yoshiadi Wicaksono