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All Journal PROtek : Jurnal Ilmiah Teknik Elektro INTEK: Jurnal Penelitian Jurnal Teknologi Elekterika Journal of System and Computer Engineering
Ashad, Bayu Adrian
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

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Analisis Spektogram Sinyal Suara Asli dan Suara Hasil Konversi Berbasis Derivative Gelombang Glotal Hartono, Sriwijanaka Yudi; Suyuti, Saidah; Asmara, Bambang Panji; Ashad, Bayu Adrian; Hamzidah, Nurul Khaerani
Jurnal Teknologi Elekterika Vol. 20 No. 2 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i2.4525

Abstract

Ucapan manusia yang dihasilkan oleh suatu sistem produksi yang dibentuk oleh alat – alat ucap manusia. Proses ini dimulai dengan formulasi pesan dalam otak pembicara (penutur), pesan tersebut selanjutny akan diubah menjadi perintah-perintah yang diberikan kepada alat-alat ucap manusia sehingga dihasilkan ucapan yang sesuai dengan pesan yang ingin disampaikan. Transformasi sinyal suara (speech) berbasis derivative gelombang glottal digunakan dengan metode Liljenctranct fant. Pada metode ini parameter yang berperang penting adalah open Quotient (OQ), Speed Quotiont (SQ), formant dan pitch.  Keempat parameter tersebut sangat berpengaruh dalam menentukan kualitas konversi suara.  Spektogram adalah suatu representasi dari warna suara atau spektral yang bervariasi terhadap waktu yang menunjukkan tingkat insitas energi spektral (density Spectral). Berdasarkan dari data base sinyal suara yang diproses secara pengolahan sinyal digital diperoleh adanya perbedaan ketajaman spektral pada spektogram antara sinyal asli dengan sinyal konversi, dimana tingkat ketajaman spektral warna hasil konversi lebih tinggi dari pada spektral suara asli.  Hal ini dikarenakan adanya penguatan intensitas lebih dari spektral akibat transformasi derivative dari gelombang glottal akibat parameter OQ, SQ, formant dan pitch.  Sinyal suara yang dihasilkan tidak berubah baik bentuk sinyal maupun durasinya, yang berubah hanyalah warna suaranya. Untuk membedakan suara hasil konversi darri suara pria lain dan suara wanita yaitu dengan merubah besarnya nilai keempat parameter tersebut secara tepat.
Analysis of Lightning Disruption Reduction in HVAD Tower 70 kV Parallel Inductance Grounding using NA2XSY Cable in West Java Siswanto, Agus; Mucharomah, Nurul Maghfiroh; Ashad, Bayu Adrian; Rahman, Yuli Asmi
INTEK: Jurnal Penelitian Vol 7 No 1 (2020): In Press
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1305.294 KB) | DOI: 10.31963/intek.v7i1.2092

Abstract

The Sumadra - Pameungpeuk region has an uneven geographical location because it is traversed by mountains and beaches and has a high level of ISO Keraunic which causes many lightning strikes to occur in this region. The disturbance caused by lightning strikes is very worrying because it can disrupt the stability of electric power in West Java, Integrated Service Unit (ISU) Cirebon region in particular and can harm consumers as users of electricity. To minimize the disruption caused by lightning strikes in this study using the parallel mounting inductance method using NA2XSY cable. This study aims if there is a lightning strike on the GSW wire it can be immediately properly grounded. NA2XSY cable was chosen as direct grounding because the inductance value on the cable is smaller than the inductance value on the tower so that when NA2XSY cable is paralleled with the body tower it produces a low parallel inductance value so that it is expected to minimize the occurrence of back flashover due to the induction voltage resulting in the flash isolator. The results showed the lowest tower resistance value in the Sumadra-Pameungpeuk region of 0.21 ohms is located at tower number 77 and the highest resistance is 4.3 ohms at tower numbers 49 feet A and D, this meets PLN's standard of <5 ohms. Parallel inductance installation succeeded in reducing the disturbances caused by lightning, namely, in January-July 2018 the disruption occurred 4 times and in January - July 2019 became 2 times the disturbance.
Analisis Rugi-Rugi Daya Jaringan Distribusi Penyulang POLDA Area Makassar Utara Dengan ETAP 12.6 Sugianto, Sugianto; Jaya, Arif; Ashad, Bayu Adrian
PROtek : Jurnal Ilmiah Teknik Elektro Vol 7, No 1 (2020): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v7i1.1690

Abstract

Analisis Rugi-rugi Daya Saluran Distribusi Tegangan Menengah Penyulang Polda, bertujuan tegangan menengah penyulang polda. Perhitungan Rugi-rugi daya saat ini banyak menggunakan aplikasi computer, tujuannya untuk mempermuda dan mendapatkan hasil yang cepat dan akurat pada penelitian menggunakan software ETAP 12.6, disamping itu juga dilakukan perhitungan manual kemudian membandingkan dengan hasil dari software ETAP. Rugi-rugi pada Penyulang Polda menggunakan Software Etap  adalah 600,9 kW dan perhitungan manual 509,8 kW, Besar rugi-rugi Daya yang terbesar ada line 53 yaitu dari bus 121 ke bus 122 dan yang paling kecil terjadi pada line 98 yaitu dari bus 200 ke bus 201.
Enhancing Polyp Segmentation Using Attention U-Net with CLAHE Ramdaniah, Ramdaniah; Ashad, Bayu Adrian
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2370

Abstract

Colorectal cancer remains one of the leading causes of death worldwide, where early detection of polyps through colonoscopy plays a vital role in prevention. This study aims to enhance polyp segmentation performance by integrating Attention U-Net with Contrast Limited Adaptive Histogram Equalization (CLAHE) as a preprocessing technique. The proposed method was evaluated using two benchmark datasets, CVC-ClinicDB as the primary dataset and Kvasir-SEG for cross-domain testing. The model was trained using a combination of Binary Cross-Entropy and Dice losses, with a 70–15–15 split for training, validation, and testing. Experimental results show that applying CLAHE improves segmentation accuracy, achieving Dice and IoU scores of 0.84 and 0.76 on CVC-ClinicDB, and 0.62 and 0.50 on Kvasir-SEG, respectively. Statistical analysis using the Wilcoxon signed-rank test confirmed a significant difference between the baseline and enhanced models. These findings demonstrate that the integration of CLAHE with Attention U-Net effectively improves boundary detection and robustness against illumination variations across datasets, contributing to more accurate and reliable computer-aided diagnosis in colorectal cancer screening.
Peramalan Beban Listrik Harian di Kota Ternate Menggunakan ELM Ilyas, Andi Muhammad; Rahman, Muhammad Natsir; Aswat, Aldi; Syamsuddin, Faris; Suparman, Suparman; Ashad, Bayu Adrian; Siswanto, Agus
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2465

Abstract

The continuously increasing growth of electricity demand necessitates accurate and systematic planning of electric power systems to ensure power flow quality and system reliability. Ternate City, as one of the major activity centers in North Maluku Province, has experienced a substantial rise in electricity consumption, thereby requiring an effective and reliable load forecasting approach. This study aims to predict the daily electricity load in Ternate City using the Extreme Learning Machine (ELM) method. The analysis is conducted using historical electricity load data, which are processed through data preprocessing stages, dataset partitioning into training and testing sets, and ELM-based modeling. The performance of the proposed model is evaluated using the Mean Absolute Percentage Error (MAPE). The results indicate that the MAPE values for the training dataset range from 5.84% to 13.63%, corresponding to very good to good performance categories. Meanwhile, the testing dataset yields MAPE values ranging from 13.45% to 33.09%, which fall within the good to sufficient performance categories. Furthermore, the prediction results are able to accurately capture daily electricity load fluctuation patterns from Monday to Sunday, including peak load periods. Based on these findings, the ELM method demonstrates strong potential as a reliable approach to support electric power system planning and to enhance the quality and reliability of electricity supply in Ternate City.
Co-Authors Agus Siswanto Arif Jaya Aswat, Aldi Bambang Panji Asmara Hartono, Sriwijanaka Yudi Mucharomah, Nurul Maghfiroh Nurul Khaerani Hamzidah Rahman, Muhammad Natsir Ramdaniah, Ramdaniah Saidah Suyuti Sugianto Sugianto Suparman Suparman Syamsuddin, Faris Yuli Asmi Rahman