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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INOVTEK POLBENG Biomolecular and Health Science Journal Indonesian Journal of Electrical Engineering and Computer Science Journal of Advanced Technology and Multidiscipline (JATM) Jurnal Teknologi Recent in Engineering Science and Technology

Rodik Wahyu Indrawan

Universitas Airlangga

Author-ID : 3402446

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health

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Articles

Maximizing Millennial Students Role in Combating COVID-19 Hoaxes and Myths Astri Dewayani; Euvanggelia Dwilda Ferdinandus; Rizki Putra Prastio; Indah Fahmiyah; Amila Sofiah; Rodik Wahyu Indrawan; Mochammad Nurul; Gagas Gayuh Aji; Nanda Rachmad Putra Gofur; Siti Khaerunnisa; Dewi Sriani; Yankel Sena
Biomolecular and Health Science Journal Vol. 4 No. 1 (2021): Biomolecular and Health Science Journal
Publisher : Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/bhsj.v4i1.26910

Introduction: Since the outbreak of Corona Disease-19 (COVID-19) spreads all over the world, various ways of health attempts have been conducted. However, overflowed information intertwines with mis/disinformation could raise public anxiety and stigma-related diseases. We aimed to assess the help of the young generation of millennials and Gen-Z whom are active college students in debunking hoaxes and myths of COVID-19 into their community.Method: The selected students were given a short course on COVID-19 basic information, prevention, and circulated myths. Later, they become ambassadors and actively educated via offline and online platforms. The impact of outspread information on audiences was investigated through a qualitative survey.Result: The knowledge of students were measured by pre- and post-test within the short course. Prior knowledge showed the least understanding part was prevention and myth of COVID-19. There was a significant improvement of knowledge in post-test after receiving seminar (p=0.0002). There were 97 respondents who filled the online survey that predominantly in young adulthood age. Respondent's insight was enhanced and they likely intend to spread the actual information to their surroundings.Conclusion: Appointing student as the spokesperson for health education can raise their social responsibility. Clarifying misinformation and health behaviour could be more influential within the same sharing community. In addition, the use of various online platforms could efficiently reach massive target, especially young ages.

PEMETAAN 3 DIMENSI UNTUK MENENTUKAN JALUR EVAKUASI ALTERNATIF PADA SMART ROBOT RESCUE Rodik Wahyu Indrawan; Indra Adji Sulistijono; Achmad Basuki
INOVTEK POLBENG Vol 9, No 2 (2019): INOVTEK VOL.9 NO 2 - 2019
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/ip.v9i2.1013

Penanganan evakuasi pasca bencana sangat membahayakan bagi korban maupun tim penyelamat yang akan melakukan evakuasi, khususnya area di dalam ruangan, ini disebabkan karena area yang belum terpetakan. Pada penelitian ini kami mengaplikasikan robot rescue untuk melakukan surve pada daerah pasca bencana, khususnya area di dalam ruangan (indoor area), Robot didesain dengan mekanik yang memungkinkan untuk melewati medan pasca bencana, sensor posisi yang diproses menggunakan metode odometry untuk melakukan rekam data pergerakan yaitu posisi dan orientasi dari robot, sensor observasi yang di proses dengan Kalman filter untuk melakukan deteksi lingkungan area robot pada saat melakukan navigasi, data sensor dan aktuator pada robot akan diproses lebih lanjut oleh GCS (Ground Control Station) untuk menghasilkan informasi berupa peta atau denah area (indoor) dan jalur evakusi alternatif dengan metode Flood Fill. Hasil penelitian menunjukkan bahwa, sistem navigasi menggunakan odometry pada area pasca bencana menghasilkan rekam posisi dan diperlukan perbaikan data posisi dan orientasi dengan menambahkan sensor absolute (menggunkan lokal GPS Global Positioning System atau IMU Intertial Measurement Unit). Fusion data motion model dan observation model menghasilkan pemetaan 3 dimensi dari area navigasi robot dan informasi jalur terpendek antara posisi victim dengan pintu emergencyyang terdekat, sehingga data peta dan jalur memungkinkan tim SAR (Search And Rescue) untuk lebih efektif dalam melakukan evakuasi terhadap korban pasca bencana pada area di dalam ruangan.

Speed Controller Design using Hybrid Differential Evolution Algorithm-Particle Swarm Optimization for PSMS Muhammad Aldo Setiawan; Herlambang Setiadi; Rodik Wahyu Indrawan; Rizki Putra Prastio
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 1 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

The use of engines that motorized the world based on fossil fuel sources has led to many problems, such as air pollution, energy security, global warming, and climate change. To prevent further damage reducing the application of fossil fuel as a source of the motor is crucial. Hence, utilizing an electric motor could be the solution to reduce the application of motors based on fossil fuel. Among the number of electric motors, permanent magnet synchronous motor (PSMS) is becoming more popular due to their efficiency. However, the challenge here is how to design the controller of PSMS, especially the speed controller. Hence, this paper proposed a design of a speed controller of PSMS using a PI controller. The hybrid differential evolution algorithm-particle swarm optimization (DEA-PSO) is used to optimize the PI controller for better performance. From the simulation result, it is found that the proposed method can enhance the performance of PSMS.

Small Signal Stability Analysis of Two Stage PV Generation Rizki Putra Prastio; Muhammad Aldo Setiawan; Rodik Wahyu Indrawan; Herlambang Setiadi
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Integration of photovoltaic (PV) based power plant have been increased significantly over the years. The integration of this devices is ranging on the small-scale capacity such as in distribution system and large-scale capacity such as in transmission system. Although, PV generation could provide sustainable and clean energy to the grid, they could also bring new challenge on the system stability. One of the stabilities of power system that can be affected by integration of this devices is small signal stability. Hence, it is important to capture the dynamic model of PV generation. This paper is on investigation of dynamic model of PV generation for small signal stability analysis. The simulation is carried out in MATLAB/SIMULINK environment. From the simulation results, it is found that by capturing the dynamic model of PV generation, the modes of the PV generation can be captured.

Comparison of PSO, DE and Hybrid DE-PSO for LFC of Wind Power Systems rodik wahyu indrawan; herlambang setiadi; muhammmad Aldo Setiawan; Rizki Putra Prastio
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Abstract—This paper investigates the performance of particle swarm optimization (PSO), differential evolution (DE), and hybrid particle swarm optimization- differential evolution (HDEPSO) for solving load frequency control (LFC) problems. Wind power systems LFC model is used to compare the performance of PSO, DE and HPSODE for solving LFC problems. All the simulation are carried out in MATLAB/SIMULINK environment. From the simulation results, it is noticeable that by designing LFC of wind power system using HPSODE, the overshoot and settling time of the wind power system can be reduced and accelerated.

Selection of autofocus algorithms for printed circuit board automated optical inspection system Rizki Putra Prastio; Rodik Wahyu Indrawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp856-865

This paper presents an examination study of 11 autofocus algorithms for printed circuit board (PCB) automated optical inspection (AOI). A selection of an optimal algorithm for that application based on some criteria was carried out. Unlike microscopy, PCB optical inspection does not require very high magnification. The object in this work was also different from that of microscopy and thus influenced the image features. We analyzed 47 PCB images, size of 640×480, sequentially captured every 1 mm in the z-direction. This work utilized USB digital microscope, and the magnification was set at ten times. Each algorithm calculated the sharpness values of the image sequences, and the plot of the sharpness profile was created. Moreover, the research also carried out experiments in several strategies, including image resizing and applying the non-local means (NLM) denoising filter to assess the algorithm performance in different situations. The algorithms were examined and ranked based on five criteria, i.e., computation time, full width at half maximum (FWHM), accuracy, number of half maxima, and range. The experimentation results showed that the Brenner gradient worked best for analyzing images both in their original dimension or resized images.

Design and Control Development of an Autonomous Visitor Guiding Robot in a Hospital Environment Agus Siswoyo; Pippie Arbiyanti; Rodik Wahyu Indrawan
Jurnal Teknologi Vol. 13 No. 1 (2023): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jitekin.v13i1.81

Mobile robot technology, coupled with artificial intelligence, has reached a point where robots can now autonomously navigate and store area data, while the integration of smart sensor and controller technology enables them to detect and adapt to dynamic environments by making predictions under diverse conditions. In general, hospital visitors do not have sufficient preparation and knowledge accompanied by sudden situations, this often makes visitors, namely patients and patient companions confused and panicked. The reality is that until now, many visitors are still pacing in the wrong room, asking the officers many times, which eventually leads to misunderstandings by visitors to the hospital system, facilities, and services which are considered complicated and make visitors dissatisfied. Applied technology innovation Design and control of autonomous visitor guide robots in hospital environments (Viguro Robot) offers solutions using interactive robots that can provide location information and deliver visitors to their intended location. Artificial intelligence is employed through the utilization of sensors, digital data, or remote input, allowing the amalgamation of hospital patient data, instant material analysis, and the utilization of insights derived from Viguro Robots' sensors. This robot is designed by utilizing the development of autonomous mobile robot technology, interactive human machine interface, localization and mapping, and obstacle avoidance. The stages in making the robot begin with design planning, initial testing, stage I validation, stage II validation, and implementation testing. This applied innovation of technology is expected to offer solutions in order to improve facilities and quality of service to patients and patient companions in hospitals.

BERSAUDARA Robot (Room And Air Cleaner) As a Preven-tion of the Spread of Viruses in Work Areas in Buildings and Isolation Rooms Siswoyo , Agus; Cahyono, Eko Aris; Indrawan, Rodik Wahyu
Recent in Engineering Science and Technology Vol. 1 No. 01 (2023): RiESTech Volume 01 No. 01 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.5

BERSAUDARA Robot innovation emerged based on health protocols in the new normal era and workers' anxiety about the spread of viruses in buildings. This robot is designed by utilizing the development of robotics technology, Remote Operated Vehicle (ROV), vacuum floor cleaner, and air purifier equipped with UV Sterilizer and HEPA Filter. BERSAUDARA Robot innovation is expected to fulfill the protocol for preventing the spread of the Covid-19 virus, especially work areas in buildings or isolation rooms, by cleaning floors and air regularly so as to minimize human contact and support the continuity of the activities of workers during the "New Normal".

Application of AGV in the Production System at the PT. Adhikara Wiyasa Gani Siswoyo, Agus; Wahyu Indrawan, Rodik; Azis Abdillah, Abdul
Recent in Engineering Science and Technology Vol. 1 No. 02 (2023): RiESTech Volume 01 No. 02 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i02.16

This study aims to analyze the effectiveness and efficiency of applying AGV in the production system at the PT. Adhikara Wiyasa Gani. AGV is implemented as a means of transporting materials from the warehouse to the production line, as well as returning finished goods to the warehouse. The research method used was data collection through field observations, interviews with workers, and analysis of production data before and after using AGV. The research results show that the use of AGV can increase the effectiveness and efficiency of the production system. The time required for material delivery from the warehouse to the production line and the return of finished goods to the warehouse can be minimized, thereby speeding up production time. In addition, AGV can also reduce production costs by reducing labor costs and minimizing the risk of human error in shipping goods. In conclusion, the application of AGV can have a positive impact on the production system at the PT. Adhikara Wiyasa Gani. However, further research can be conducted to deepen the effectiveness and efficiency of AGV implementation in production systems in general.

ResNet50-Driven Quality Inspection for Recorder Musical Instrument Prastio, Rizki Putra; Indrawan, Rodik Wahyu; Tasib, Vanesia; Rusmawan, Zhilaan Abdurrasyid
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.7058

The manufacturer of a recorder musical instrument requires high-quality product. The aim is to produce precise tones and an aesthetic look at customer satisfaction. A major challenge encountered by manufacturers is traditional visual inspection. Human error is a major factor, notably over extended work periods and the subjective judgment of quality control personnel. This paper reports on the development of a machine vision system for detecting abnormal patterns on the inner surface of a recorder musical instrument. An industrial-grade camera with a resolution of 1280 × 1024, paired with industrial lighting, was utilized. Due to its tube-shaped construction of the object, the bright-field imaging technique is applied to illuminate the interior. ResNet50 was selected as a feature extractor due to its balance between accuracy and efficiency. In addition, a Neural Network served as the classifier. A total of 1,118 images were collected as training data and 304 images as testing data. The training and testing data were separate sets that were taken independently, preventing any risk of data leakage. The test results indicated that the model performed exceptionally well in classification, achieving an accuracy of 95.7%, precision of 95.45%, sensitivity of 96.07%, and specificity of 95.36%. Moreover, the area under the curve of the Receiver Operating Characteristic (ROC AUC) score in test data reached 0.9906, reflecting the model's ability to separate features from the two classes. These findings suggest that the proposed method offers an alternative to subjective visual inspection. Future research may examine diverse deep learning architectures to further enhance performance while achieving faster classification.

Co-Authors Achmad Basuki Agus Siswoyo Astri Dewayani Azis Abdillah, Abdul Cahyono, Eko Aris Ferdinandus, Euvanggelia Dwilda Gagas Gayuh Aji, Gagas Gayuh Herlambang Setiadi Herlambang Setiadi Indah Fahmiyah Indra Adji Sulistijono Muhammad Aldo Setiawan muhammmad Aldo Setiawan Nanda Rachmad Putra Gofur Nurul, Mochammad Pippie Arbiyanti Rizki Putra Prastio Rusmawan, Zhilaan Abdurrasyid Siswoyo , Agus Siswoyo, Agus Siti Khaerunnisa Sofiah, Amila Sriani, Dewi Tasib, Vanesia Yankel Sena

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