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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Mikro Tiga Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Rekayasa Sriwijaya Sinergi JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Science and Technology Indonesia Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTERA (Jurnal Teknologi Rekayasa) JRST (Jurnal Riset Sains dan Teknologi) Jurnal Elektronika dan Telekomunikasi Jurnal Teknik Kimia JURNAL SURYA ENERGY Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Jurnal Pengabdian UNDIKMA MDP Student Conference Jurnal Rekayasa elektrika SULUH ABDI : Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jurnal Akademika Baiturrahim Jambi
Suci Dwijayanti
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Electro-adsorption as a Hybrid Processing to Removed Oil from Synthetic Oily Solution by Using Activated Carbon and Iron Electrodes Lia Cundari; Bazlina Dawami Afrah; Suci Dwijayanti; Alvina Suryadinata; Aldi Ramadhani
Science and Technology Indonesia Vol. 7 No. 3 (2022): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2957.782 KB) | DOI: 10.26554/sti.2022.7.3.344-352

Abstract

Biosolar contains oil, fatty acids, emulsifiers, bactericides, and other chemicals. If the oil contents are mixed with water, it will become hazardous waste and affect drinking water sources, endanger human health, air pollution, affect agricultural production, and damage the natural landscape, so the oil content must be processed to reduce its hazardous content. One of the methods used in treating oily solutions is adsorption. The adsorption method for oily solution treatment is ineffective because it requires several stages, so the required capital is relatively larger and takes longer. Electro-adsorption is one of the methods that is being developed for treating oily solutions. Electro-adsorption is a hybrid separation technology to break down oil emulsions in wastewater and some other organic content. The purpose of this study is to characterize the activated carbon and determine the effect of voltage and time on synthetic oily solution treatment in terms of COD value and oil-fat content. A synthetic oily solution is made by mixing 1 g of biosolar/B30 into the water from the Musi River to a volume of 1 L. The application of the electro-adsorption method uses commercially activated carbon as an adsorbent and iron as an electrode. Variations given to the process with voltage 0, 5, 10, 15 V and time 0, 5, 10, 15, 20, and 25 minutes. The characteristic of activated carbon showed a size change in the pore size from 2.58 µm to 1.98 µm and a reduction of surface area from 740 (±180) m2/g to 730 (±120) m2/g. The electro-adsorption method was effective in treating oily solutions. The decrease of COD reaches the maximum level at a voltage 10 V for 25 minutes, which was 75.92% from 62.33 mg/L to 15 mg/L initially, while the concentration of oil-fat obtains the maximum level at a voltage of 5 V for 5 minutes that is equal to 99.65%, initially 303.19 mg/L to 1.05 mg/L. The optimum condition of the electro-adsorption process in synthetic oily solution was at the voltage of 5 V and a time of 5 minutes. The electro-adsorption process is an effective method to treat synthetic oily solutions.
Facial recognition and body temperature measurements based on thermal images using a deep-learning algorithm Suci Dwijayanti; Muhammad Ridho Ramadhan; Bhakti Yudho Suprapto
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i4.pp1654-1665

Abstract

Recognizing the early symptoms of the SARS-CoV-2 virus (COVID-19) is essential for minimizing its spread. One of the typical symptoms of a person infected with COVID-19 is increased body temperature beyond the normal range. Facial recognition can be used to separate healthy people from those with high body temperatures based on thermal images of the faces. In this study, the XEAST XE-27 thermal imager modes 2, 3, and 4 comprising 1500 thermal images each were compared. The facial recognition was performed using a convolutional neural network. Additionally, body temperatures were extracted from thermal images using matrix laboratory (MATLAB) by considering the minimum and maximum temperatures of each mode and class. The network training results indicate that the accuracies achieved by the proposed facial recognition system in modes 2, 3, and 4 are 87.33%, 92.33%, and 91.66%, respectively. Furthermore, the accuracies of body temperature extraction in modes 2, 3, and 4 are 70%, 60%, and 40%, respectively. Thus, the proposed system serves as a contactless technique for the early detection of COVID-19 symptoms by combining facial recognition and body temperature measurements.
Pemanfaatan Logika Fuzzy sebagai Pengendali Steering pada Hardware In the Loop Mobil Listrik Otomatis Caroline Caroline; Rudyanto Thayeb; Hermawati Hermawati; Wirawan Dwi Harsanto; Suci Dwijayanti; Bhakti Yudho Suprapto
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 8 No 1 (2021): Jurnal Ecotipe, April 2021
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v8i1.2121

Abstract

Desain dan Implementasi Automatic Fish Machine Sebagai Solusi Pembersih dan Pemotong Ikan Otomatis Berbasis Arduino Darma Sandi; Muhammad Iqbal; Muhammad Yusup; Regita Umami; Suci Dwijayanti
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 8 No 2 (2021): Jurnal Ecotipe, Oktober 2021
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v8i2.2540

Abstract

Indonesia memiliki luas wilayah perairan sebesar 74,2% dari total luas keseluruhan membuat Indonesia mempunyai potensi sumber daya yang melimpah dari sektor laut, terutama di bidang perikanan. Mata pencarian yang sangat berhubungan dengan dengan ikan adalah nelayan dan pedagang ikan. Sebelum diolah, sisik dan isi perut ikan harus dibersihkanterlebih dahulu. Namun, pedagang ikan membutuhkan waktu yang cukup lama untuk membersihkan seekor ikan menggunakan pisau sehingga dibutuhkan sebuah alat yang dapat membersihkan dan memotong secara otomatis. Penelitian ini merancang dan mengimplementasikan suatu automatic fish machine. Mikrokontroler yang digunakan pada alat ini adalah Arduino AtMega32, sensor Infrared (IR) untuk mendeteksi ikan yang masuk ke alat, dan LCD menampilkan nilai sensor dan kecepatan motor. Kemudian terdapat driver motor yang digunakan untuk menggerakkan motor yang terhubung ke gigi pembersih. Untuk membersihkan sisik dan memotong ikan digunakan bilah pisau pembersih. Alat ini telah diujikan dengan memperhatikan karakteristik dari ikan seperti ukuran ikan dan jenis sisik. Hasil dari penelitian ini menunjukkan bahwa automatic fish machine mampu mempermudah dan mempercepat produksi pembersihan dan pemotongan ikan khususnya ikan Nila. Tebal ikan yang dapat dibersihkan oleh automatic fish machine dengan ukuran minimal 20 mm sampai 60 mm. Hasil pembersih dan pemotong ikan yang dihasilkan dari automatic fish machine adalah 10 ikan/menit.
Design of Real-Time Face Recognition and Emotion Recognition on Humanoid Robot Using Deep Learning Muhammad Iqbal; Bhakti Yudho Suprapto; Hera Hikmarika; Hermawati Hermawati; Suci Dwijayanti
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 9 No 2 (2022): Jurnal Ecotipe, October 2022
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v9i2.3044

Abstract

A robot is capable of mimicking human beings, including recognizing their faces and emotions. However, current studies of the humanoid robot have not been implemented in the real-time system. In addition, face recognition and emotion recognition have been treated as separate problems. Thus, for real-time application on a humanoid robot, this study proposed a combination of face recognition and emotion recognition. Face and emotion recognition systems were developed concurrently in this study using convolutional neural network architectures. The proposed architecture was compared to the well-known architecture, AlexNet, to determine which architecture would be better suited for implementation on a humanoid robot. Primary data from 30 respondents was used for face recognition. Meanwhile, emotional data were collected from the same respondents and combined with secondary data from a 2500-person dataset. Surprise, anger, neutral, smile, and sadness were among the emotions. The experiment was carried out in real-time on a humanoid robot using the two architectures. Using the AlexNet model, the accuracy of face and emotion recognition was 87 % and 70 %, respectively. Meanwhile, the proposed architecture achieved accuracy rates of 95 % for face recognition and 75 % for emotion recognition, respectively. Thus, the proposed method performs better in terms of recognizing faces and emotions, and it can be implemented on a humanoid robot.
Pengaruh Kualitas Produk Dan Citra Perusahaan Terhadap Kepuasan Pelanggan CV. UI3 Media Palembang Dwijayanti, Suci; Pramuditha, Charisma Ayu
MDP Student Conference Vol 3 No 2 (2024): The 3rd MDP Student Conference 2024
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v3i2.7376

Abstract

This study ains to analyze the effect of product quality and corporate image on customer satisfaction at CV. UI3 Media Palembang. The population of this research is the consumers of CV. UI3 Media Palembang. The sample used in this study was 168 using the slovin formula. In this study, using multiple linear regression analysis techniques to test hypotheses and data management using SPSS 21. The result showed that product quality, and corporate image have a partial effect on customer satisfaction at CV. UI3 Media Palembang. Simultaneously shows that there is an influence of product quality and corporate image have an affect on customer satisfaction at CV. UI3 Media Palembang.
Desain dan Implementasi Robot Pembersih Layang-Layang Otomatis pada Kabel Listrik Al Hafiz, Dimsyiar M.; Dwijayanti, Suci; Sandi, Darma; Rahmattullah, Muhammad Syukron; Capelo, Febyo
JTERA (Jurnal Teknologi Rekayasa) Vol 8, No 1: June 2023
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v8.i1.2022.117-122

Abstract

Pemadaman listrik dapat disebabkan oleh dua faktor, yaitu akibat adanya pemeliharaan tenaga listrik dan akibat gangguan jaringan listrik. Gangguan tersebut dapat diakibatkan benang layangan yang tersangkut pada kabel listrik. Berdasarkan data, persentase gangguan listrik akibat benang layang-layang pada tahun 2022 mencapai 75%. Bahkan, hingga Maret 2021 terjadi peningkatan hingga 70%. Namun, upaya untuk membersihkan benang layangan tersebut masih bersifat manual, dimana petugas membersihkan dengan menggunakan stik. Pembersihan tersebut tidak efektif dan efisien serta membahayakan nyawa petugas. Sehingga, pada penelitian ini dikembangkan prototipe robot yang dinamakan automatic kite line cleaning robot. Prototipe ini dapat memotong benang layangan dengan menggunakan kawat pemanas dan ranting pohon yang tersangkut pada kabel listrik. Kemudian, robot ini juga sudah dilengkapi kamera untuk memonitor kondisi kabel listrik yang dilewati alat. Selain itu, komponen lain dari prototipe ini terdiri dari roda karet, sensor infrared, mikrokontroler, roda PU, dan motor power window. Pengujian dilakukan pada skala laboratorium, dimana proses pembersihan benang gelasan dengan diameter 1 mm hanya membutuhkan waktu 1 detik dan pada tali nilon yang berdiameter 3 mm dibutuhkan waktu 3 detik. Sedangkan untuk tali rapia dibutuhkan waktu sedikit lebih lama dari dua jenis benda sebelumnya, yaitu 5 detik dan terahir jenis ranting pohon dengan diameter 4-8 mm membutuhkan waktu 10 detik. Robot membutuhkan waktu lebih lama untuk benda keras dibandingkan untuk bahan yang mudah terbakar, seperti benang layangan, tali nilon, dan tali rapia dalam waktu kurang dari 5 detik.
Real-time object detection and distance measurement for humanoid robot using you only look once Dwijayanti, Suci; Suprapto, Bhakti Yudho; Mutiyara, Mutiyara; Rendyansyah, Rendyansyah
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7476

Abstract

Humanoid robots are designed to mimic human structures and utilize cameras to process visual input to identify surrounding objects. However, previous studies have focused solely on object detection, overlooking both the complexities of real-world implementation and the significance of calculating the distance between objects and the robot. This study proposes a system that employs the you only look once (YOLO) algorithm to detect various objects in the proximity of a robot. Using a dataset of primary data collected in a laboratory, the detected objects are from 12 classes, including humans, chairs, tables, cabinets, computers, books, doors, bottles, eggs, learning modules, cups, and hands, with each class comprising 1500 data points. Two YOLO architectures, namely tiny YOLOv3 and tiny YOLOv4, are assessed for their performance in object detection, with the tiny YOLOv4 demonstrating a superior accuracy of 82.99% compared to tiny YOLOv3. Evaluation under simulated conditions yields an accuracy of 74.16%, while in real-time scenarios, accuracies are 61.66% under bright conditions and 38.33% under dim conditions, affirming tiny YOLOv4’s efficacy. Moreover, this study reveals an average error distance of 31% between an object and the robot in real-time conditions. The developed system enhances human–robot interaction capabilities via data transmission.
Designing Human-Robot Communication in the Indonesian Language Using the Deep Bidirectional Long Short-Term Memory Algorithm Dwijayanti, Suci; Akbar, Ahmad Reinaldi; Suprapto, Bhakti Yudho
Jurnal Elektronika dan Telekomunikasi Vol 24, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.595

Abstract

Humanoid robots closely resemble humans and engage in various human-like activities while responding to queries from their users, facilitating two-way communication between humans and robots. This bidirectional interaction is enabled through the integration of speech-to-text and text-to-speech systems within the robot. However, research on two-way communication systems for humanoid robots utilizing speech-to-text and text-to-speech technologies has predominantly focused on the English language. This study aims to develop a real-time two-way communication system between humans and a robot, with data collected from ten respondents, including eight males and two females. The sentences used adhere to the standard rules of the Indonesian language. The speech-to-text system employs a deep bidirectional long short-term memory algorithm, coupled with feature extraction via the Mel frequency cepstral coefficients, to convert spoken language into text. Conversely, the text-to-speech system utilizes the Python pyttsx3 module to translate text into spoken responses delivered by the robot. The results indicate that the speech-to-text model achieves a high level of accuracy under quiet-room conditions, with noise levels ranging from 57.5 to 60 dB, boasting an average word error rate (WER) of 24.99% and 25.31% for speakers within and outside the dataset, respectively. In settings with engine noise and crowds, where noise levels range from 62.4 to 86 dB, the measured WER is 36.36% and 36.96% for speakers within and outside the dataset, respectively. This study demonstrates the feasibility of implementing a two-way communication system between humans and a robot, enabling the robot to respond to various vocal inputs effectively. 
Implementasi greenhouse untuk mendukung agropark di Desa Tanjung Pinang II Kecamatan Tanjung Batu Kabupaten Ogan Ilir Dwijayanti, Suci; Suprapto, Bhakti Yudho; Hermawati, Hermawati; Hikmarika, Hera; Rendyansyah, Rendyansyah
Jurnal Komunitas : Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2: Januari 2024
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/jks.v6i2.3535

Abstract

Tanjung Pinang II Village is one of the districts in Tanjung Batu, Ogan Ilir Regency, South Sumatra, which is currently developing its potential to become a tourist village through an agro-park. However, the process of transforming the village into a tourism and educational area for the community has not yet implemented technology. Therefore, in this community service, a smart greenhouse was developed and implemented in Tanjung Pinang II Village. The methods used in this community service included situational analysis, greenhouse construction, counseling and training, as well as evaluation, analysis, and conclusion. The constructed greenhouse is equipped with temperature and humidity sensors to measure the conditions inside the room. The greenhouse is built with a steel frame and uses UV plastic for its roof and walls. The results of the community service showed that the village residents and the community benefited from the greenhouse in the process of developing Tanjung Pinang II Village as an ecotourism area.
Co-Authors A. Wahyudin Afnizar Azmi Agam, Regan Akbar, Ahmad Reinaldi Al Hafiz, Dimsyiar M. Aldi Ramadhani Aldi Ramadhani Althaf Taufiqurrahman Alvina Suryadinata Alvina Suryadinata Alvio Yunita Putri Amirulsyah, Ahmad Rizky Amri, Djulil Aulia Ghaida Bazlina Dawami Afrah Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Capelo, Febyo Caroline Caroline Charisma Ayu Pramuditha Cundari, Lia Darma Sandi Darma Sandi Dimsyiar M Al Hafiz Djulil Amri Farhan Abie Ardandy Febby Nora Fitria, Syarifa Fortuna Sinulingga , Regita Harry, Caroline Hera Hikmarika Hera Hikmarika Hera Hikmarika, Hera Herlina Herlina Hermawati Hermawati Hermawati Hermawati Hermawati Hermawati, Hermawati Hermawati, Harmawati Ika Juliantina Ike Bayusari Irmawan Irmawan Javen Jonathan Lia Cundari Luthfiyah A. Sayyidah Muhammad Iqbal Muhammad Iqbal Muhammad Ridho Ramadhan Muhammad Yusup Muhammad Yusup Mutiyara, Mutiyara Otong, Muhammad Pohan, Immanuel Morries Rahmattullah, Muhammad Syukron Rahmawati Rahmawati Regita Umami Rendyansyah Retno Widowati Rudyanto Thayeb Sandi, Darma Sri Agustina, Sri Suprapto, Bhakti Yudho Thayeb, Rudyanto Wirawan Dwi Harsanto Yenny Aulya Yogta, Abeng