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All Journal International Journal of Electrical and Computer Engineering ASEAN Journal of Systems Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Prosiding SNATIF Prosiding Semnastek Edu Komputika Journal Communications in Science and Technology Conference SENATIK STT Adisutjipto Yogyakarta Jiko (Jurnal Informatika dan komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Informasi Interaktif Respati IJITEE (International Journal of Information Technology and Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Selo Sulistyo, Selo
Universitas Gadjah Mada
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Applying Machine Learning for Improving Performance Classification on Driving Behavior Ahmad Iwan Fadli; Selo Sulistyo; Sigit Wibowo
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 1 (2020): March 2020
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.56919

Abstract

Traffic accident is a very difficult problem to handle on a large scale in a country. Indonesia is one of the most populated, developing countries that use vehicles for daily activities as its main transportation.  It is also the country with the largest number of car users in Southeast Asia, so driving safety needs to be considered. Using machine learning classification method to determine whether a driver is driving safely or not can help reduce the risk of driving accidents. We created a detection system to classify whether the driver is driving safely or unsafely using trip sensor data, which include Gyroscope, Acceleration, and GPS. The classification methods used in this study are Random Forest (RF) classification algorithm, Support Vector Machine (SVM), and Multilayer Perceptron (MLP) by improving data preprocessing using feature extraction and oversampling methods. This study shows that RF has the best performance with 98% accuracy, 98% precision, and 97% sensitivity using the proposed preprocessing stages compared to SVM or MLP.
Modified Usability Test Scenario: User Story Approach to Evaluate Data Visualization Dashboard Nurul Tiara Kadir; Rudy Hartanto; Selo Sulistyo
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 1 (2021): March 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.61201

Abstract

The data processing results are commonly displayed in a dashboard with various graphic visualization forms to deliver new knowledge easier to understand by users. However, many data analysis dashboards cannot communicate the knowledge effectively and efficiently given the unsuitable design implementation. Therefore, research to measure the interface display's effectiveness in the data analysis system is deemed necessary. This research proposed a scenario modification in the usability test with a user story approach to measuring the system interface display in delivering the information to users. The approach of a usability test with the user story is expected to be capable of helping the researcher in understanding the user habits indirectly. There were 20 participants to validate the proposed method. Participants were asked to use the system and answer several questions to develop their user experience. After developing user experience for each user, the System Usability Scale (SUS) was conducted. SUS score results obtained from this research was 75.25. Besides, the researcher also measured the understanding level among the users using questionnaires. The questionnaire results were converted into numbers and resulted in a mean value of 91.8. Those two values indicate the users' ability to use the system well and obtain the new knowledge displayed in the data analysis dashboard.
Kinerja Metode Load Balancing dan Fault Tolerance Pada Server Aplikasi Chat Sampurna Dadi Riskiono; Selo Sulistyo; Teguh Bharata Adji
Retii Prosiding Seminar Nasional ReTII ke-11 2016
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan aplikasi social network telah tumbuh begitu cepat dengan berbagai aplikasi yang didukung oleh piranti cerdas sebagai platform untuk menjalankannya. Salah satu aplikasi social network yang digunakan adalah aplikasi chat. Ketika jumlah pengguna yang mengakses layanan chat meningkat  dan server tidak dapat mengatasinya tentu ini akan menjadi masalah yang mengakibatkan layanan server terhenti disebabkan adanya beban berlebih yang diterima oleh suatu server tunggal. Oleh karena itu diperlukan penelitian untuk merancang bagaimana membangun sistem server yang dapat menangani banyaknya permintaan layanan  yang masuk agar beban dari server chat dapat diatasi. Hal ini bertujuan untuk meningkatkan pelayanan untuk setiap permintaan yang dikirim oleh pengguna. Salah satu solusi dari permasalahan tersebut adalah penggunaan banyak server. Perlu metode untuk mendistribusikan beban agar merata di masing-masing server, yaitu dengan menerapkan metode load balancing untuk mengatur pemerataan beban tersebut. Selanjutnya akan dilakukan evaluasi sebelum dan sesudah penerapan load balancing. Sedangkan untuk ketersediaan yang tinggi diperoleh ketika server memiliki kemampuan dalam melakukan failover atau berpindah ke server yang lain bila terjadi kegagalan. Sehingga penerapan load balancing dan fault tolerance dapat meningkatkan layanan kinerja aplikasi chat dan memperkecil kesalahan yang terjadi. Kata Kunci: load balancer, fault tolerance, sistem serverchat, beban berlebih.
The Blueprint of AWOS Implementation for Aviation Services at BMKG Wardani, Duati; Sulistyo, Selo; Mustika, I Wayan
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v4i0.243

Abstract

Weather is very critical for aviation. Especially regarding safety in air transportation. Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) in its duties and functions provides aviation weather information, conducts the latest weather observation activities for the needs of takeoff and landing at airports. The World Meteorological Organization (WMO) has targeted automation with a target achievement in 2017. But currently in conducting the latest weather observations, BMKG still uses conventional weather observation systems even though at some airports Automated Weather Observing Systems (AWOS) have been installed. The automated weather observing system is still not fully implemented yet. This study aims to create a blueprint for the implementation of automatic weather observations for aviation services within the BMKG. Guidelines for making blueprint use the Enterprise Architecture Planning (EAP) framework. EAP defines business and architectural needs related to data, applications, and technology needed to implement automation. The final results achieved are in the form of a blueprint for the implementation of automated weather observing system for aviation services within the BMKG which can be a guide for BMKG in achieving the vision related to aviation weather services.
QS-Trust: An IoT ecosystem security model incorporating quality of service and social factors for trust assessment Najib, Warsun; Sulistyo, Selo; Widyawan
Communications in Science and Technology Vol 9 No 1 (2024)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.9.1.2024.1419

Abstract

In the rapidly growing and increasingly complex Internet of Things (IoT) ecosystem, securing communication and data exchanges between devices is a major concern. To address this, we proposed QS-Trust, a trust-based security model considering both Quality of Service (QoS) and social parameters. QS-Trust uses a trust value to determine the trust level between devices and employs a QoS-aware trust-based algorithm to improve the security of data transmissions. Additionally, the model incorporates intelligence parameters such as computing power, memory capacity, device behavior and context information to enhance the accuracy of trust evaluation. Our simulation results demonstrated that QS-Trust effectively improved the security of the IoT ecosystem while maintaining the high level of QoS. The execution time of QS-Trust was in the range of 21 to 128 milliseconds, which is efficient for real-time IoT applications. QS-Trust offers a promising solution for securing the IoT ecosystem. The QS-Trust model effectively addresses the challenges of maintaining accurate and up-to-date trust levels in dynamic IoT environments through its decentralized approach, multi-factor evaluations, and adaptive algorithms. By continuously monitoring device performance and interactions and dynamically adjusting trust scores, QS-Trust ensures that the IoT network remains secure and reliable.
Co-Authors Abobaker, Mostafa Adhistya Erna Permanasari Adi Sabwa Isti Besari Arkanuddin Agung R Pamungkas Ahmad Ashari Ahmad Ashari Ahmad Iwan Fadli Anggun Fitrian Isnawati Arya Sony Bagus Made Sabda Nirmala Bimo Sunarfri Hantono Catur Hendratmono Chris Agung Pramudi Dearisma Arfinda Ma'ruf Decky Setiawan Putra Dwi Susanto Eko Nugroho Eko Suripto Pasinggi Evans Fuad Hamka, Cakra Aminuddin Hamka, Cakra Aminuddin I Wayan Mustika Irma Permata Sari Jaeni Jaeni Jamhari Jamhari Johan Kemal Sahala Martua Lukito Edi Nugroho Maria Arista Ulfa Martua, Johan Kemal Sahala Mochammad Reza Ramadhan Muslikhin Hidayat Noor Husni Al-Mubarok Nurul Tiara Kadir Persada, Anugerah Galang Pramudi, Chris Agung Putranto, Adhy Rahmad Syaifudin, Rahmad Ridi Ferdiana Risanuri Hidayat Rubiyanto Ru Rudy Hartanto Sampurna Dadi Riskiono Sigit Wibowo Silmi Fauziati Sri Suning Kusumawardani Supriyono Supriyono Tatyantoro Andrasto Teguh Bharata Adji Tikaridha Hardiani Vera Suryani Wardani, Duati Wardani, Duati Warsun Najib Widyawan Yosua Alvin Adi Soetrisno