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All Journal Jurnal Sistem Informasi dan Bisnis Cerdas JISKa (Jurnal Informatika Sunan Kalijaga) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Kepada Masyarakat
Hendrawan, Muhammad Afif
Jurusan Teknologi Informasi, Politeknik Negeri Malang
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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DETEKSI KELELAHAN MENTAL DENGAN MENGGUNAKAN SINYAL EEG SATU KANAL Hendrawan, Muhammad Afif
Jurnal Sistem Informasi dan Bisnis Cerdas Vol 14, No 2 (2021): JURNAL SISTEM INFORMASI DAN BISNIS CERDAS (SIBC) AGUSTUS 2021
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/sibc.v14i2.2654

Abstract

Kondisi kelelahan mental dapat menimbulkan kecelakaan kerja khususnya pada bidang pekerjaan dengan tingkat konsentrasi tinggi. Kondisi ini perlu ditangani dengan serius untuk menghindari risiko kecelakaan kerja. Banyak metode dikembangkan untuk mengukur tingkat kelelahan mental. Namun pengukuran fisiologis dianggap lebih obyektif dan akurat. Sinyal gelombang otak atau electroencephalogram (EEG) merupakan biosinyal yang digunakan sebagai alat ukur fisiologis. Akan tetapi, pemanfaatannya belum banyak diteliti. Penelitian ini memanfaatkan sinyal EEG satu kanal dikombinasikan dengan segmentasi untuk mendeteksi kondisi kelelahan mental. Ciri mean absolute value (MAV), absolute power (AVP), dan standar deviasi (SD) diambil dari setiap segmen. Algoritma klasifikasi Linear Discriminant Analysis (LDA) dan Support Vector Machine (SVM) digunakan untuk mengklasifikasikan kondisi kelelahan mental. Hasil penelitian didapatkan nilai akurasi sebesar 78,13%. Nilai tersebut didapatkan dengan memanfaatkan sinyal EEG dengan segmentasi 60 detik menggunakan Fisher LDA. Penelitian ini menunjukkan sinyal EEG dapat digunakan untuk mendeteksi kondisi kelelahan mental dengan baik meskipun menggunakan ekstraksi ciri sederhana.  DOI : https://doi.org/10.33005/sibc.v14i2.2654
Identification of optimum segment in single channel EEG biometric system Muhammad Afif Hendrawan; Pramana Yoga Saputra; Cahya Rahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1847-1854

Abstract

Nowadays, biometric modalities have gained popularity in security systems. Nevertheless, the conventional commercial-grade biometric system addresses some issues. The biggest problem is that they can be imposed by artificial biometrics. The electroencephalogram (EEG) is a possible solution. It is nearly impossible to replicate because it is dependent on human mental activity. Several studies have already demonstrated a high level of accuracy. However, it requires a large number of sensors and time to collect the signal. This study proposed a biometric system using single-channel EEG recorded during resting eyes open (EO) conditions. A total of 45 EEG signals from 9 subjects were collected. The EEG signal was segmented into 5 second lengths. The alpha band was used in this study. Discrete wavelet transform (DWT) with Daubechies type 4 (db4) was employed to extract the alpha band. Power spectral density (PSD) was extracted from each segment as the main feature. Linear discriminant analysis (LDA) and support vector machine (SVM) were used to classify the EEG signal. The proposed method achieved 86% accuracy using LDA only from the third segment. Therefore, this study showed that it is possible to utilize single-channel EEG during a resting EO state in a biometric system.
Development of smart parking system using internet of things concept Dwi Puspitasari; Noprianto Noprianto; Muhammad Afif Hendrawan; Rosa Andrie Asmara
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp611-620

Abstract

The growing number of vehicles in developing countries causes a slew of issues, including the parking system.The current parking system is mostly manual, requires human intervention as a security system, and does not provide information about available parking areas.Their problems cause nonoptimal parking management. Furthermore, it can lead to income loss and criminal acts. This study addresses one of the possible solutions by using the internet of things (IoT) concept. The parking system is built by utilizing a smart card, machine-to-machine (M2M) communication, and cloud monitoring. As a result, the smart parking system prototype has been provided. The parking system business process can be done automatically, and it provides a more secure parking security system. The proposed parking system architecture also provides a practical system. The system only took around 1 second to perform the data transmission between nodes.
Pengelompokan Obyek Wisata Potensial dengan Self Organizing Maps (SOM) dan Sum Additive Weighting (SAW) Indra Dharma Wijaya; Muhammad Afif Hendrawan; Nurcahya Nania Anabela
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 8 No. 1 (2023): Januari 2023
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2023.8.1.1-9

Abstract

Probolinggo Regency is an area in East Java that has tourism potential. The condition is seen from the many tourists visiting various attractions in Probolinggo Regency. To increase the number of tourist visits, it is necessary to develop tourism objects. However, not all attractions in Probolinggo Regency can be developed at the same time. This is due to budget limitations for tourism development. Therefore, it is necessary to have a grouping of attractions according to the priority level of development. In this study, researchers utilized Self Organizing Maps (SOM) and Sum Additive Weighing (SAW) methods to group attractions based on their development priority levels. SOM is used to determine groups of tourist objects based on the parameters of the number of domestic tourists, the number of foreign tourists, infrastructure, and the number of attractions. Furthermore, SAW is used to find out which group has the highest priority among other groups based on these parameters. To measure the quality of the resulting group, researchers used the value of the silhouette coefficient. Results from the grouping process resulted in three groups. Group C1 consists of 4 attractions, group C2 consists of 20 attractions, and group C3 consists of 10 attractions. The value of the silhouette coefficient also holds a good value, especially in group 1, which is 0.75006. Furthermore, based on the ranking of groups by the SAW method, the C1 group is the group of tourist attractions with the highest priority for development.
PEMBUATAN WEBSITE UNTUK SOSIALISASI PROGRAM DAN BERITA PELAKSANAAN KEGIATAN PADA YAYASAN BUMI LANGGAT PEDULI Yoppy Yunhasnawa; Toga Aldila Cinderatama; Moch. Zawaruddin Abdullah; Gunawan Budiprasetyo; Muhammad Afif Hendrawan; Candra Bella Vista; Rinanza Zulmy Alhamri; Maskur Maskur
Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 2 (2023): JURNAL PENGABDIAN KEPADA MASYARAKAT 2023
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v10i2.4486

Abstract

Yayasan Bumi Langgat Peduli, based in Dusun Langgat, Malang, is a community initiative since 2017, focusing on social development. With funding sources from donors and the "Bongkar-Rapikan-Sedekahkan" program, the foundation has conducted various inclusive programs. However, manual communication via WhatsApp limits the reach of information. Through the Community Engagement project, we from Politeknik Negeri Malang design, implement, and deploy an official website that not only expands the information reach but also effectively showcases the foundation's programs and activities. This endeavor encapsulates a comprehensive solution to enhance Yayasan's outreach and impact.
Co-Authors Candra Bella Vista Dika Rizky Yunianto Dwi Puspitasari Gunawan Budiprasetyo Indra Dharma Wijaya Maskur Maskur Moch Zawaruddin Abdullah Muhammad Shulhan Khairy Noprianto, Noprianto Nurcahya Nania Anabela Odhitya Desta Triswidrananta Pramana Yoga Saputra Rahmad, Cahya Rinanza Zulmy Alhamri, Rinanza Zulmy Rosa Andrie Asmara Toga Aldila Cinderatama Yoppy Yunhasnawa