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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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Pengaruh Konsumsi Jus Tomat terhadap Kenaikan Kadar Hemoglobin pada Ibu Hamil Trimester III dengan Anemia di RSUD Ciawi Tahun 2022 Suci Dwijayanti Lestari; Yenny Aulya; Retno Widowati
Jurnal Akademika Baiturrahim Jambi Vol. 11 No. 1 (2022): Maret
Publisher : Universitas Baiturrahim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/jab.v11i1.523

Abstract

Anemia in pregnancy has a bad impact and can lead to death for both mother and baby. From the maternal side, a pregnant woman who suffers from anemia during pregnancy or antepartum is susceptible to abortion, premature delivery, antepartum bleeding and is also susceptible to infection. Regular consumption of tomatoes is said to help prevent anemia. The content of vitamin C in tomatoes is needed by the body to maximize the absorption of iron from other foods. This study aims to determine the effect of tomato juice consumption on the increase in hemoglobin levels in third trimester pregnant women with anemia in Ciawi Hospital. The design in this study was a quasi-experimental (quasi-experimental) using a two-group pre-test and post-test design. The population in this study were 45 pregnant women in the third trimester with anemia who performed ANC at Ciawi Hospital in 2022, taken by purposive sampling technique based on inclusion and exclusion criteria. The number of samples used is 30 respondents. The control group consisted of 15 respondents and the intervention group consisted of 15 respondents. Data analysis used paired sample T-Test. From the results of the study, it is known that the average initial hemoglobin level in the experimental group is 9.833 g/dl which is classified as mild anemia, while the final average hemoglobin in the experimental group is 12,913 g/dl which is classified as not anemic. The p-value of 0.000 < (0.05) means that Ho is rejected and Ha is accepted, namely the effect of consumption of tomato juice on the increase in hemoglobin levels of pregnant women. There is a significant effect of consumption of tomato juice on the increase in hemoglobin levels in third trimester pregnant women with anemia. It is hoped that this can be used as a lesson in preventing anemia using tomato juice as an alternative, especially for pregnant women
Speed Control of An Autonomous Electric Vehicle Using Fuzzy Logic With Computer Vision-Based Input Fortuna Sinulingga , Regita; Suprapto, Bhakti Yudho; Dimsyiar M Al Hafiz; Farhan Abie Ardandy; Javen Jonathan; Dwijayanti, Suci
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1165.2025

Abstract

A robust speed control mechanism ensures safety in an autonomous electric vehicle system. Such a system must dynamically adjust the vehicle's speed based on its surrounding environment. This research employs computer vision for object and road detection to measure the distance between the car and nearby objects. Fuzzy logic methods—specifically Mamdani and Sugeno—are utilized to automatically and stably regulate the speed of autonomous electric vehicles from their starting point to their destination. The control system considers various road conditions, including left-slanting, straight, and right-slanting roads, and the real-time presence or absence of objects. Testing is conducted across three real-world scenarios using distance and steering angle inputs. The servo angle represents the output, which ranges from 0 to 1800 and corresponds to the vehicle's speed. The results indicate that the Mamdani method provides greater speed control accuracy than the Sugeno method, which relies on a singleton output. For conditions involving left-slanting, straight, and right-slanting roads with objects within a 10-meter range, the Mamdani method produced outputs of 1370, 1800, and 1370, respectively, aligning well with predefined speed control rules. In contrast, the Sugeno method yielded 880, 1470, and 650 outputs for the same conditions, which did not adhere to the predefined rules for slow, medium, and fast speeds. In conclusion, the Mamdani method demonstrates superior accuracy and suitability for speed control in autonomous electric vehicles compared to the Sugeno method.
Motion Control of 5-Degree of Freedom Humanoid Robot Arm System Using Fuzzy Logic Algorithm Ike Bayusari; Darma Sandi; Rahmawati Rahmawati; Suci Dwijayanti; Bhakti Yudho Suprapto
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4482

Abstract

Humanoid robots are the evidence of the rapid advancement of technology in robotics. One of their applications is replacing humans in certain tasks, such as moving goods. For this type of activity, humanoid robots need arms; however, their arm system is not effective enough because of the material used. Thus, this study proposes the use of filament as the material of frames in robot arms. A 5-degree of freedom (DoF) robot arm system was implemented, and the motor worked as the driving force. The movement of this robotic arm was based on proximity and camera sensor readings. Then, the movement control used fuzzy logic with the Sugeno method. During experimental testing, the humanoid robot arm could grip and move objects from one place to another at varying times according to the object type. The length of time obtained depends on the reading of the proximity sensor on the gripper. In another experiment, the humanoid robot arm could shake hands with humans in real time within 36 sec. In conclusion, the results verified the effectiveness of the proposed fuzzy logic controller with the Sugeno method.
Comparative study of CNN techniques for tuberculosis detection using chest X-ray images from Indonesia Dwijayanti, Suci; Agam, Regan; Suprapto, Bhakti Yudho
SINERGI Vol 29, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.2.018

Abstract

Convolutional neural networks (CNNs) represent a popular deep-learning approach for image classification tasks. They have been extensively employed in studies aimed at classifying tuberculosis (TB), coronavirus disease 2019 (COVID-19), and normal conditions on chest X-ray images. However, there is limited research utilizing Indonesian data, and the integration of CNN models into user-friendly interfaces accessible to healthcare professionals remains uncommon. This study addresses these gaps by employing three CNN architectures—AlexNet, LeNet, and a modified model—to classify TB, COVID-19, and normal condition images. Training data were sourced from both a local hospital in Indonesia (RSUP dr. Rivai Abdullah) and an additional online dataset. Results indicate that AlexNet achieved the highest accuracy, with rates of 97.52%, 64.45%, and 92.43% on the Kaggle dataset, the RSUP Dr. Rivai Abdullah dataset, and the combined dataset, respectively. Subsequently, this model was integrated into a user interface and deployed for testing using new data from the RSUP Dr. Rivai Abdullah dataset. The web-based interface, powered by the Gradio library, successfully detected 7 out of 10 new cases with 70% accuracy. This implementation may enable medical professionals to make preliminary diagnoses.
Face Recognition-Based Room Access Security System Prototype using A Deep Learning Algorithm Pohan, Immanuel Morries; Dwijayanti, Suci; Suprapto, Bhakti Yudho; Hikmarika, Hera; Hermawati, Hermawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5376

Abstract

Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character formations. This paper explores the potential of a machine learning-based digital learning tool to write Mandarin characters. It also conducts a comparative study between MobileNetV2 and MobileNetV3, exploring different configurations. The research follows the Multimedia Development Life Cycle (MDLC) method to create both application and machine learning models. Participants from higher education institutions that offer Mandarin courses in Batam, Indonesia, participated in a User Acceptance Test (UAT). Data were collected through questionnaires and analyzed using the System Usability Scale (SUS) methods. The results show positive user acceptance, with an SUS score of 77.92%, indicating a high level of acceptability. MobileNetV3Small was also preferred for recognizing user handwriting, due to comparable accuracy size, rapid inference time and smallest model size. Although the application was well received, several participants provided constructive feedback, suggesting potential improvements.
Implementasi Teknologi Keramba Jaring Apung Otomatis Untuk Meningkatkan Budidaya Ikan Di Desa Ekowisata Burai Dwijayanti, Suci; Suprapto, Bhakti Yudho; Hikmarika, Hera; Irmawan, Irmawan; Rendyansyah, Rendyansyah; Fitria, Syarifa; Herlina, Herlina; Agustina, Sri
Suluh Abdi Vol 7, No 1 (2025): SULUH ABDI
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/sa.v7i1.9752

Abstract

Desa Burai, Ogan Ilir, merupakan desa ekowisata dengan potensi sumber daya alam berupa Sungai Kelekar. Permasalahan utama yang dihadapi masyarakat mitra Kelompok Sadar Wisata (Pokdarwis) Burai Indah adalah pengelolaan keramba jaring apung (KJA) yang masih dilakukan secara tradisional, yang mengarah pada rendahnya produktivitas ikan. Pengabdian masyarakat ini bertujuan untuk meningkatkan produktivitas budidaya ikan di Desa Burai dengan solusi teknologi yang ditawarkan adalah KJA pintar. KJA yang dikembangkan ini dilengkapi dengan teknologi pemantauan kualitas air menggunakan sensor suhu dan pH yang kemudian juga akan dilengkapi sistem pemberian pakan otomatis. Kegiatan pengabdian ini mencakup analisis situasi, pembuatan dan pemasangan KJA, serta pelatihan dan pendampingan kepada kelompok pengelola wisata air. Penerapan KJA pintar diharapkan dapat meningkatkan produktivitas ikan, mendukung keberlanjutan ekowisata, dan memberdayakan masyarakat. Selain itu, kegiatan ini juga melibatkan mahasiswa yang mendapatkan pengalaman praktis dalam bidang teknik elektro. Hasil pelaksanaan menunjukkan bahwa KJA pintar mampu meningkatkan efisiensi dalam pengelolaan budidaya ikan dan meningkatkan kapasitas masyarakat dalam memanfaatkan teknologi untuk kelestarian lingkungan.
Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller Harry, Caroline; Amirulsyah, Ahmad Rizky; Hermawati, Harmawati; Dwijayanti, Suci; Suprapto, Bhakti Yudho
Jurnal Rekayasa Elektrika Vol 21, No 1 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i1.36393

Abstract

Technology in robotics has developed rapidly in the last few decades, as evidenced by the increasing number of robots created, such as humanoid robots and mobile robots. In this study, a wheeled humanoid robot is designed to move from one place to another using a swerve drive model, a holonomic type of drive wheel. This model uses a combination of DC motors and gears to ensure smooth movement of the humanoid robot. The swerve drive allows the robot to move freely in all directions. Therefore, the humanoid robot requires a control system to manage and automatically regulate the state of the system. The fuzzy logic control system can perform mathematical calculations based on human knowledge, serving as a controller without requiring a mathematical model of the controlled process. The results obtained from this study demonstrate the robots ability to move stably and accurately, based on the response to the rules provided by the fuzzy logic control system. The more membership functions used, the more stable and accurate the results will be, while using fewer membership functions will result in faster response times to reach the setpoint.
Optimalisasi Promosi Ekowisata Desa Burai dengan Teknologi Perahu Hybrid dan Website Bhakti Yudho Suprapto; Suci Dwijayanti; Ika Juliantina
Jurnal Pengabdian UNDIKMA Vol. 6 No. 2 (2025): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v6i2.15487

Abstract

This community service activity assists tourism awareness groups Pokdarwis in developing ecotourism through marketing and production to increase income. The methods used in this community service activity are participatory and collaborative by conducting training and demonstrations. The target partners of this activity are Tourism Awareness Groups (Pokdarwis). While the evaluation instrument is a questionnaire used to assess the understanding and satisfaction of partners Pokdarwis with the training and technology provided and semi-structured interviews were conducted with Pokdarwis members and tourists who have used the service. Then, the data analysis technique is quantitative descriptive analysis, used for the results of the questionnaire by displaying percentages to show the level of understanding, satisfaction, and effectiveness of the training. While for interviews and observations, qualitative thematic analysis is used to identify patterns, challenges, and opportunities felt by partners during the program. The results of this community service show that the level of understanding of Pokdarwis is quite good, reaching 82% who understand and are able to fill in content on the website, and are also able to control hybrid boats, participant satisfaction 81% and readiness for independent implementation 74%.
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