Ariyono Setiawan

@poltekbangsby.ac.id

Air Transportation Management
Politeknik Penerbangan Surabaya

Ariyono Setiawan


                  Download Compact PDF  
https://researchid.co/rmaryo4u

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Human-Computer Interaction, Multidisciplinary, Computer Graphics and Computer-Aided Design
19

Scopus Publications

463

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Bayesian Network Model for River Accident Risk Prediction in Indonesia from 2007 to 2025: An SDG Approach to Water Transportation Safety
    Ariyono Setiawan, Choo Wou Onn, Wisnu Handoko, Abdul Razak Bin Abdul Hadi, Abdullah Alghoson
    Journal of Waterway Port Coastal and Ocean Engineering, 2026
  • Big Data Analytics for Weather Prediction Integrating Regression and ARIMA Models to Assess the Impact of Climate Variability on Fishermen Safety and Maritime Operations
    Iie Suwondo, A. Setiawan, S. Sutoyo, C. Wou Onn, Deshinta Arrova Dewi, et al.
    Transnav, 2025
  • RENEWABLE ENERGY AND EQUITABLE ENVIRONMENTS – THE CASE OF ASEAN NET ENERGY EXPORTERS
    Scientific Culture, 2025
  • Level of Pilot Fear on Maneuvering based Brain Wave Using Naïve Bayes Method
    Arjon Turnip, Ezra Fachry Athalla, Daniel Dewantoro Rumani, Ariyono Setiawan, Dwi Esti Kusumandari, et al.
    International Conference on Artificial Intelligence and Mechatronics System Aims 2024, 2024
    In aviation, safety is a top priority. To maintain the stability of airline performance and minimize accidents due to emotional responses from pilots, preventive measures are needed. The study focused on identifying pilots' fear responses when at a certain altitude. To detect fear, this study used Electroencephalography (EEG) with the Naïve Bayes method because this method was able to classify responses with high accuracy that could reach 95.0%. This signifies the potential of technology to understand pilots' emotional responses and enable appropriate preventive action to be taken. Thus, the use of EEG contributes significantly to the development of pilot decision support systems to improve flight welfare and safety. This research will help future improvements to the safety of aviation industry because this can determine the classification of the level of pilot fear when maneuvering. Although this method has a high accuracy percentage, there will be a lot of distortion if the signals isn't applied with filtration.
  • Pilot Anxiety Detection through Brain Signal Using Naïve Bayes Method
    Ariyono Setiawan, Muhammad Aqshal Said Noor, Agus Trisanto, Gilbert Faintbright Yohanes, Daniel Dewantoro Rumani, et al.
    International Conference on Artificial Intelligence and Mechatronics System Aims 2024, 2024
    Air transport is vital for Indonesia, which consists of more than 17,000 islands with vast airspace. In addition to supporting connectivity and mobility between regions, air transportation also plays a role in economic growth and tourism. Despite these benefits, air transport faces risks and challenges, especially related to human factors such as fatigue and stress on pilots. Therefore, real-time monitoring of the pilot's physiological and psychological condition during flight is necessary to prevent errors and accidents. This study aimed to detect pilot anxiety from electroencephalogram (EEG) signals using the Naïve Bayes method. EEG signal data was obtained from 16 prospective pilot subjects who participated in flight simulations under normal conditions. The data is processed using band pass filters, feature extraction, and feature selection. The features used are the amplitude and frequency of EEG waves in each electrode channel. The selected features were then classified using the Naïve Bayes approach resulting in an accuracy of 96.1%. This research contributes to the field of neuroergonomics, and can be useful for improving pilot safety and well-being.
  • Identify Impulsivity Levels in the Selection of Leadership Candidates Based on the SVM
    Arjon Turnip, Exelindo Yeremia, Gilbert Sihombing, Ariyono Setiawan, Giraldo Sihombing
    Icsec 2022 4th International Conference on Sustainable Engineering and Creative Computing Proceedings, 2022
    When selecting a leader, it is necessary to consider their traits based on existing criteria. The criteria for a good leader are excellent decision-making skills, disciplined emotions, and accepts criticism. A leader must not have a high level of impulsivity because they will act according to their whims and desire a high position of power over others. That kind of behavior illustrates that the leader might take action without prior planning or considering any consequences. Experiments for this research are done by recording the condition open eye relaxation. This research uses alpha, beta 1, and beta 2 wave activities using the Support Vector Machine (SVM) method. Signal Electroencephalography (EEG) is recorded using Mitsar EEG-202. Then, the signal is filtered using a Band Pass Filter (BPF) with a cut-off of 0.5 Hz - 50 Hz. The resulting tabulation data for each subject were classified using SVM, which showed an accuracy rate of 94.40% with 60% training result data and 40% validation. The results of this study concluded that the level of impulsivity can be observed based on the classification results from the SVM method
  • Data Classification of Patient Characteristics Based on Nutritional Treatment Using the K-Nearest Neighbors Algorithm
    I Gede Susrama Mas Diyasa, Agus Prayogi, Intan Yuniar Purbasari, Ariyono Setiawan, Sugiarto, et al.
    Aims 2021 International Conference on Artificial Intelligence and Mechatronics Systems, 2021
    For a company engaged in the service and health sector, it is essential to read consumers' characteristics to develop the company and produce the right products. It is still challenging to determine patients' nutritional treatment, with many patients' healthy treatment remained appropriate and accurate for each patient. Patient data collection and patient interviews are needed to obtain suitable treatment data for the patient. However, to get appropriate further treatment, a system must process past patient data, resulting in more accurate follow-up treatments. The method used in this study is to calculate the value of the training data and K point with the K-Nearest Neighbors (K-NN) Algorithm. The goal is to determine the treatment package menu recommendations for consumers. The K-Nearest Neighbors algorithm is one of the algorithms used for the implementation of this system development. The patient characteristics and data distance calculation using the euclidean distance function can produce a category used to determine a more accurate and good nutritional treatment for each patient. The scenario in the test with a comparison of training data and test data 3: 1 has the highest program accuracy reaching 88%, precision reaching 91%, and recall going 95% among all the results of the test scenario
  • Integrated System of Vehicle and Passenger Manifests in Port Based on IoT
    I Gede Susrama Mas Diyasa, Akhmad Fauzi, Moch. Idhom, Ariyono Setiawan, Tresna Maulana Fahrudin, et al.
    3rd International Conference on Artificial Intelligence in Information and Communication Icaiic 2021, 2021
    The speed and timeliness of ferry service users in the Ketapang-Gilimanuk crossing port is not optimal. This is due to the ineffectiveness of work productivity of management at the ferry port. Based on this, an Integrated Vehicle and Passenger Registration System (Manifest) was made in IoT-based with Android and Web systems. The android-based system will be used by passengers and dock operators to make arrangements for berths, while the web-based system is used by officers to process the issuance of the SAL “Approval Letter”. This system can reduce service processing time so that it is not difficult for the harbormaster officers to issue a “Sailing Approval Letter” (SPB) as well as vehicle loading/unloading arrangements and passenger boarding/unloading
  • Pre-Trained Deep Convolutional Neural Network for Detecting Malaria on the Human Blood Smear Images
    I Gede Susrama Mas Diyasa, Akhmad Fauzi, Ariyono Setiawan, Moch. Idhom, Radical Rakhman Wahid, et al.
    3rd International Conference on Artificial Intelligence in Information and Communication Icaiic 2021, 2021
    Malaria is a disease caused by the Plasmodium falciparum parasite carried by female Anopheles mosquitoes. This disease is still a severe threat in eastern Indonesia which is an endemic area of Malaria. A data-driven computer-aided diagnostic approach can be an innovative solution. From the experiment results using the Pre-trained Deep Convolutional Neural Network algorithm that was trained with the transfer learning method, the GoogLeNet model was able to achieve a detection accuracy of 93.89%. In comparison, the ShuffleNet V2 model gained 95.20% accuracy with training times three times faster than GoogLeNet.
  • Design and Analysis of Session Initial Protocol Communication System Using Kamailio Server Based on Open Source at the Airport
    Yuyun Suprapto, Achmad Setiyo Prabowo, Mochammad Rifai, Ariyono Setiawan, B.B. Harianto
    Journal of Physics Conference Series, 2021
    The need for telecommunication in this era is very important and increasing. Including communication that uses digital data such as VoIP (Voice over Internet Protocol). One of the SIP servers (Session Initials Protocol) that worked well is the Kamailio server. It’s operating on an open-source and operating on the Linux system. The SIP communication system at the airport designed on this research uses Kamailio as SIP server. The goal is to make communication easier at the airport by using existing network facilities such as wi-fi. The quality of service parameters (QoS) of this study is a delay, throughput, and packet loss on the transmission of text messages, voices, and videos. Results obtained indicate the good value of that communication standard. 114 with 86.62 ms delay parameters for text, 110.10 ms for votes, and 127.52 ms for the video. The throughput shows the average varies with 330 kbps, 45.71 kbps, and 72.3 kbps according to the type of communication. The zero-percent value of packet loss shows all communication on this system is sent to the user in real-time. In this study, it can be concluded that the Kamailio server can be used as a SIP-based communication system at the airport. Testing shows good results on QoS text messages, voice calls, and video calls.
  • Real-time Home Bell Notification Using Node-MCU through E-mail (Base on the Internet of Things)
    A Setiawan, Y Suprapto, M I Fachrurrozi, K R N Manab, N R Sasmita, et al.
    Journal of Physics Conference Series, 2021
  • Multi-face Recognition for the Detection of Prisoners in Jail using a Modified Cascade Classifier and CNN
    G S M Diyasa, A Fauzi, M Idhom, A Setiawan
    Journal of Physics Conference Series, 2021
  • Auto-Image Colorization Of Grayscale Images Using Machine Learning Techniques
    Eva Y Puspaningrum, Wahyu S.J. Saputra, Ariyono Setiawan
    Proceedings 2021 IEEE 7th Information Technology International Seminar Itis 2021, 2021
  • The Role of Information Technology Knowledge and Online Learning on Learning Environmental Changes in Vocational Education
    Yuyun Suprapto, Moch. Rifai, Fiqqih Faizah, Ariyono Setiawan
    Proceeding 2020 3rd International Conference on Vocational Education and Electrical Engineering Strengthening the Framework of Society 5 0 Through Innovations in Education Electrical Engineering and Informatics Engineering Icvee 2020, 2020
  • Detection of Text Similarity for Indication Plagiarism Using Winnowing Algorithm Based K-gram and Jaccard Coefficient
    Eva Y Puspaningrum, Budi Nugroho, Ariyono Setiawan, Nuraini Hariyanti
    Journal of Physics Conference Series, 2020
  • Progressive Parking Smart System in Surabaya's Open Area Based on IoT
    I Gede Susrama Mas Diayasa, Ni Luh Wiwik Sri R.G, Slamet Winardi, Ariyono Setiawan, M. Sri Wiwoho, et al.
    Journal of Physics Conference Series, 2020
  • Mixture gaussian v2 based microscopic movement detection of human spermatozoa
    Ariyono Setiawan, I Gede Susrama Mas Diyasa, Moch Hatta, Eva Yulia Puspaningrum
    International Journal of Advances in Intelligent Informatics, 2020
  • Smart Passenger Information System Based on IoT
    I Gede Susrama Mas Diyasa, Intan Yuniar Purbasari, Ariyono Setiawan, Slamet Winardi
    Proceedings 2019 Tron Symposium Tronshow 2019, 2019
  • New Method for Classification of Spermatozoa Morphology Abnormalities Based on Macroscopic Video of Human Semen
    I Gede Susrama Mas Diyasa, Eva Y Puspaningrum, Moch. Hatta, Ariyono Setiawan
    Proceedings 2019 International Seminar on Application for Technology of Information and Communication Industry 4 0 Retrospect Prospect and Challenges Isemantic 2019, 2019

RECENT SCHOLAR PUBLICATIONS

  • Bayesian Network Model for River Accident Risk Prediction in Indonesia from 2007 to 2025: An SDG Approach to Water Transportation Safety
    A Setiawan, CW Onn, W Handoko, ARBA Hadi, A Alghoson
    Journal of Waterway, Port, Coastal, and Ocean Engineering 152 (3), 04026006 , 2026
    2026
    Citations: 1
  • Uneven Transitions in Container Ship Capacity Across Indo-Pacific Economies (2010–2022): Integrating PCA, ANOVA, and Clustering Evidence
    A Setiawan, BW Otok, W Handoko, ARA Hadi, CW Onn, D Arli
    International Journal of Advances in Data and Information Systems 7 (1), 23-41 , 2026
    2026
  • Machine Learning-Based Non-Communicable Disease Prediction Evaluating the Impact of Hypertension, Diabetes, and Lifestyle Factors on Stroke Risk
    MD Widodo, PM Sulkani, A Setiawan, ARBA Hadi
    International Journal of Data Science 6 (2), 113-126 , 2025
    2025
    Citations: 1
  • Ekpsplorasi Multimetode Atas Transformasi Komposisi Kargo Laut Indonesia 2000-2023 Dalam Konteks Transisi Hijau
    D PURBA, A Setiawan, ARBA Hadi
    PROSIDING INOVASI DAN TEKNOLOGI MARITIM (SINTEKMAR), 109-124 , 2025
    2025
  • Prediksi Ekspor Jasa Transportasi Indonesia Menggunakan LSTM Berbasis Data Perdagangan Global Terbuka
    A SETIAWAN, W HANDOKO, ARBINA HADI, CWOU ONN
    MIND (Multimedia Artificial Intelligent Networking Database) Journal 10 (2 … , 2025
    2025
    Citations: 1
  • AS Model Sinergi Triple Helix Pendidikan Vokasi, Industri, dan Pemerintah untuk Penguatan SDM dan Keselamatan Pelayaran Indonesia Big Data 2020–2023
    A Setiawan, A Seno, ARBA Hadi
    PROSIDING INOVASI DAN TEKNOLOGI MARITIM (SINTEKMAR), 98-108 , 2025
    2025
  • Integrating socioeconomic and behavioral determinants of tuberculosis outcomes using a PCA–FGNN–Robust regression framework
    A Setiawan, D Hidayati, CW Onn, AP Wibawa, H Elmunsyah, A Alghoson
    Science in Information Technology Letters 6 (2), 89-110 , 2025
    2025
  • Analisis Big Data Kesiapan Digital Global Menggunakan PCA dan FASTCLUS
    A Setiawan, PY Yudianto, NM Ika, IGS Masdiyas
    Journal of Practical Computer Science 5 (2), 98-110 , 2025
    2025
  • ANALISIS GENERASI ASN INDONESIA 2024 DALAM KERANGKA SISTEM MERIT TANTANGAN TRANSISI GEN XY MENUJU GEN Z
    A Setiawan, W Handoko, HEB Warju
    CIVIL SERVICE 19 (2) , 2025
    2025
  • IoT-Based Machine Learning for Predictive Maintenance of Ship Engines: Efficiency Gains in Maritime Digitalization
    A Setiawan, W Handoko, CW Onn, U Widyaningsih
    Dinamika Bahari 6 (2), 83-99 , 2025
    2025
    Citations: 2
  • AS Multivariate Risk Analysis of Echotoxic Chemicals of Ballast Water Chemicals Based on PCA and DSS Using ECOTOX GISIS Data
    Ariyono Setiawan, Upik Widyaningsih, Anjar Pamungkas, Abdul Razak Bin Abdul ...
    Maritime Park: Journal of Maritime Technology and Society , 2025
    2025
  • Unveiling Risk Patterns of Disability Progression A Clustering Based Transition Matrix Analysis Using Indonesian National Data
    A Setiawan, ARBA Hadi, E Faller, AP Wibawa
    Journal of Dinda: Data Science, Information Technology, and Data Analytics 5 … , 2025
    2025
  • AS Spatiotemporal Analysis of LSCI Variations in ASEAN Using ANOVA and Cluster Techniques (2017–2022)
    A Setiawan, AA Priadi, ARBA Hadi, E Faller
    Knowbase: International Journal of Knowledge in Database 5 (1), 28-51 , 2025
    2025
  • Renewable Energy And Equitable Environments-The Case Of Asean Net Energy Exporters
    A Setiawan, A Alghoson, AR Bin Abdul Hadi, AA Priadi, D Marciano
    Scientific Culture 11 (2) , 2025
    2025
    Citations: 1
  • Smart Shipping Route Optimization for Fuel Efficiency Using Big Data Analytics
    A Setiawan, U Widyansih, ARBA Hadi
    IJCONSIST JOURNALS 6 (2), 60-65 , 2025
    2025
  • Upaya Meningkatkan Pemahaman tentang Sistem Keamanan Kapal Sesuai ISPS Code di MT XYZ
    TR Utomo, S Sutoyo, A Setiawan, D Sutralinda
    Innovative: Journal Of Social Science Research 5 (1), 484-498 , 2025
    2025
  • Ai Modeling For Asean Port Efficiency Evaluation Through Regression And Clustering Of Investment And Cultural Data
    I Ariyono Setiawan1*, Choo Wou Onn2, Wisnu Handoko3, Abdul RazakBin Abdul Hadi4
    SCIENTIFIC CULTURE 11 (4), 2866-2879 , 2025
    2025
  • Big Data Analytics for Weather Prediction Integrating Regression and ARIMA Models to Assess the Impact of Climate Variability on Fishermen Safety and Maritime Operations
    NMIM I. Suwondo, A. Setiawan, S. Sutoyo, C. Wou Onn, D.A. Dewi
    TransNav 19 (4), DOI: 10.12716/1001.19.04.09 , 2025
    2025
  • Analisis Perbandingan Keuntungan Finansial dan Nonfinansial antara Penggunaan Jet Pribadi dan Penerbangan Maskapai Komersial
    A Setiawan, PK TRI, YU SUPRAPTO, S Rahayu
    WARTA PENELITIAN PERHUBUNGAN Учредители: Badan Litbang Perhubungan 36 (1), 1-9 , 2024
    2024
  • Model Pengukuran Kualitas Pelayanan Pendidikan Tinggi Vokasi: Fuzzy-Weighted Servqual, Refined-Kano, IPA, dan QFD
    SR Surtiningtyas, A Setiawan, I Sonhaji, M Wildan, ST Saputra
    CV. Bintang Semesta Media , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Pengembangan E Learning Sebagai Media Pembelajaran Pendidikan Vokasi
    A Setiawan, L Nurlaela, S Muslim, E Yundra
    Studi Pendidikan Vokasi Universitas Negeri Surabaya Jalan Lidah Wetan … , 2019
    2019
    Citations: 61
  • Multi-face Recognition for the Detection of Prisoners in Jail using a Modified Cascade Classifier and CNN
    GSM Diyasa, A Fauzi, M Idhom, A Setiawan
    Journal of Physics: Conference Series 1844 (1), 012005 , 2021
    2021
    Citations: 27
  • Progressive parking smart system in Surabaya’s open area based on IoT
    IGS Mas Diayasa, NLW Sri RG, S Winardi, A Setiawan, M Sri Wiwoho, ...
    Journal of Physics: Conference Series 1569 (2), 022043 , 2020
    2020
    Citations: 25
  • Handwriting character recognition Javanese letters based on artificial neural network
    A Setiawan, AS Prabowo, EY Puspaningrum
    IJCONSIST JOURNALS 1 (1), 39-42 , 2019
    2019
    Citations: 22
  • Penyuluhan dan Pelatihan Penggunaan Alat Pemadam Api Ringan (APAR) pada Warga Rusun Siwalankerto
    A Musadek, A Setiawan, A Budiarto
    Journal of Public Transportation Community 1 (2), 31-39 , 2021
    2021
    Citations: 20
  • Smart passenger information system based on iot
    IGSM Diyasa, IY Purbasari, A Setiawan, S Winardi
    2019 TRON Symposium (TRONSHOW), 1-5 , 2019
    2019
    Citations: 18
  • Pre-Trained Deep Convolutional Neural Network For Detecting Malaria On The Human Blood Smear Images
    IGSM Diyasa, A Fauzi, A Setiawan, M Idhom, RR Wahid, AD Alhajir
    2021 International Conference on Artificial Intelligence in Information and … , 2021
    2021
    Citations: 17
  • Detection Of Text Similarity For Indication Plagiarism Using Winnowing Algorithm Based K-Gram and Jaccard Coefficient
    EY Puspaningrum, B Nugroho, A Setiawan, N Hariyanti
    Journal of Physics: Conference Series 1569 (2), 022044 , 2020
    2020
    Citations: 17
  • Study Of The Most Important Factors Supporting The Success Of Entrepreneurship In Vocational Education: Self-Efficacy
    S Ariyono, S Wiwid
    International Journal of Vocational and Technical Education 14 (1), 21-30 , 2022
    2022
    Citations: 14
  • Rancang Bangun Aplikasi “W-Mass (Weight Monitor Assistant)” Berbasis Android Studio Dengan Bahasa Native Java
    IG Susrama Mas Diyasa, A Setiawan, M Kholis
    Rancang Bangun Aplikasi “W-Mass (Weight Monitor Assistant)” Berbasis Android … , 2019
    2019
    Citations: 14
  • Analisa Pelayanan Jasa Pemakaian Garbarata Terhadap Kepuasan Maskapai Penerbangan di Bandar Udara Internasional Soekarno–Hatta
    A Mufidah, A Setiawan, LS Moonlight
    Approach: Jurnal Teknologi Penerbangan 3 (28), 8-16 , 2019
    2019
    Citations: 12
  • New method for classification of spermatozoa morphology abnormalities based on macroscopic video of human semen
    IGSM Diyasa, EY Puspaningrum, M Hatta, A Setiawan
    2019 International Seminar on Application for Technology of Information and … , 2019
    2019
    Citations: 12
  • The Role Of Information Technology Knowledge and Online Learning On Learning Environmental Changes In Vocational Education
    Y Suprapto, M Rifai, F Faizah, A Setiawan
    2020 third international conference on vocational education and electrical … , 2020
    2020
    Citations: 11
  • Analysis of the effect of knowledge on entrepreneurship readiness using random forest classification machine learning
    A Setiawan
    Technium Soc. Sci. J. 23, 134 , 2021
    2021
    Citations: 10
  • Mixture Gaussian V2 Based Microscopic Movement Detection Of Human Spermatozoa
    A Setiawan, IGSM Diyasa, M Hatta, EY Puspaningrum
    International Journal of Advances in Intelligent Informatics 6 (2), 210-222 , 2020
    2020
    Citations: 9
  • Pilot anxiety detection through brain signal using Naïve Bayes method
    A Setiawan, MAS Noor, A Trisanto, GF Yohanes, DD Rumani, BM Wibawa, ...
    2024 IEEE International Conference on Artificial Intelligence and … , 2024
    2024
    Citations: 8
  • Random Forest Algorithm to Measure the Air Pollution Standard Index
    JAHH Ariyono Setiawan, Untung Lestari Wibowo, Ahmad Mubarok, Khoirunnisa ...
    Knowledge Engineering and Data Science 7 (Universitas Negeri Malang), 86-100 , 2024
    2024
    Citations: 7
  • Real-time home bell notification using node-MCU through E-mail (base on the Internet of Things)
    A Setiawan, Y Suprapto, MI Fachrurrozi, KRN Manab, NR Sasmita, ...
    Journal of Physics: Conference Series 1845 (1), 012007 , 2021
    2021
    Citations: 7
  • Design and implementation of self-test learning application to increase competence
    Y Suprapto, M Rifai, A Setiawan, SM Maharani
    International Joint Conference On Arts And Humanities (Ijcah 2020), 381-384 , 2020
    2020
    Citations: 7
  • Robot Pemadam Api Dengan Tracking Target Menggunakan Accelerometer Berbasis Mikrokontroler Arduino Due
    A Setiawan
    2014
    Citations: 7