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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JETT (Jurnal Elektro dan Telekomunikasi Terapan) IT JOURNAL RESEARCH AND DEVELOPMENT TECHNO-SOCIO EKONOMIKA Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Applied Science eProceedings of Engineering Jurnal Rekayasa elektrika Jurnal INFOTEL Jurnal Hukum, Administrasi Publik dan Negara
Suci Aulia
Telkom Univeristy
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
Comparison of resting electroencephalogram coherence in patients with mild cognitive impairment and normal elderly subjects Sugondo Hadiyoso; Inung Wijayanto; Suci Aulia
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1558-1564

Abstract

Mild cognitive impairment (MCI) was a condition beginning before more serious deterioration, leading to Alzheimer’s dementia (AD). MCI detection was needed to determine the patient's therapeutic management. Analysis of electroencephalogram (EEG) coherence is one of the modalities for MCI detection. Therefore, this study investigated the inter and intra-hemispheric coherence over 16 EEG channels in the frequency range of 1-30 Hz. The simulation results showed that most of the electrode pair coherence in MCI patients have decreased compared to normal elderly subjects. In inter hemisphere coherence, significant differences (p<0.05) were found in the FP1-FP2 electrode pairs. Meanwhile, significant differences (p<0.05) were found in almost all pre-frontal area connectivity of the intra-hemisphere coherence pairs. The electrode pairs were FP2-F4, FP2-T4, FP1-F3, FP1-F7, FP1-C3, FP1-T3, FP1-P3, FP1-T5, FP1-O1, F3-O1, and T3-T5. The decreased coherence in MCI patients showed the disconnection of cortical connections as a result of the death of the neurons. Furthermore, the coherence value can be used as a multimodal feature in normal elderly subjects and MCI. It is hoped that current studies may be considered for early detection of Alzheimer’s in a larger population.
Geometric and Grayscale Template Matching for Saudi Arabian Riyal Paper Currency Recognition Suci Aulia; Bagus Budhi L.; Angga Rusdinar; Yuyun Siti R.
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v8i6.pp4230-4238

Abstract

Detecting the authenticity of paper currencies using automated based Paper Currency Recognition (PCR) with image processing techniques was still a hot topic of discussion, due to the circulation of counterfeit currency that was still overwhelming in some countries. There was a downside along with this advancement in technology in the field of color printing, duplication, and scanning, because it was became one of the supporting factors of the increasing crime rate in production of counterfeit money. Our system has performed a PCR approach based on image processing techniques. In this study, the SAR banknote was the object to be recognized and detected its authenticity with the development of the previous method, which was incorporating the Geometric Template Matching and Grayscale Template Matching. In addition to the pattern recognition process, the classification process on 1 SAR, 2 SAR, 5 SAR, and 10 SAR was also performed. From PCR test up to 100 sample data, for each tested banknote value obtained the average value of the best accuracy level from incorporating GeoMatchingScore and GrayMatchingScore for the classification process was 95.25%. While the average level of system accuracy in recognizing counterfeit money on each banknote obtained a maximum value of 100%.
Co-Authors Aaron Abel Abraham Caesar Yanuar Putra Adri Achmad Farhan Agus Gunarso Alvinas Deva Sih Illahi Amri Khurniawan Anatasya Bella Andik Wijanarko Angga Rusdinar Ardyandrea Erstya Surya Arif Setiawan Arif Setiawan Asep Mulyana ATIK NOVIANTI Aulya Ellanda Bagus Budhi L. Bambang Hidayat Bayuaji Kurniadhani Burhanuddin Burhanuddin Burhanuddin D. Dadan Nur Ramadan Dadan Nur Ramadhan Della Oktriani Denny Darlis Didin Yulian Dimitri Mahayana Diovani Estidia Akbar Dwi Nuha Nabilah Efri Suhartono Erizka Banuwati Candrasari Erty Kasdiantika Fony Ferliana Widianingrum Galuh Laksmita Ranggi Gelar Budiman Grislend Gloria Natalies Hafiddudin Hafiddudin Hafiidh As Syahidulhaq Hafiz Adriansyah Handoko Supeno Hengki Setiadi Indrarini Dyah Irawati Inung Wijayanto Jean Pierre Uwiringiyimana Khairunnisa Alfiyanti Suharja Kusumawardhani, Eka Ledya Novamizanti M. Dyovan Uidy Okta Meidi Mahendra Rahmatullah Melina Melina Muhammad Arly Gunawan Muhammad Biyan Priatama Muhammad Obi Nugraha Muhammad Obi Nugraha Muhammad Panji Kusuma Praja Muhammad Rafki Nur Ramadhani Nurmala Sari Raditiana Patmasari Rahmat Sopian Rajali Ginting Ratri Dwi Atmaja Raymond Y. Purba Reivind P. Persada Restu Wardani Rita Magdalena Rita Purnamasari Rizky Edi Saputra Rudy Gunawan Ryan Bagus Wicaksana Ryan Bagus Wicaksono Siti Nurlaila Sri Dewi Sartika Sugondo Hadiyoso Syahban Rangkuti Thoriq Dharmawan Viona Apryaleva Yafis Sukma Kurniawan YULI SUN HARIYANI Yuyun Siti R. YUYUN SITI ROHMAH