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All Journal Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
Putu Aryasuta Wicaksana
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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PENGENALAN POLA MOTIF KAIN TENUN GRINGSING MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK DENGAN MODEL ARSITEKTUR ALEXNET Putu Aryasuta Wicaksana; I Made Sudarma; Duman Care Khrisne
Jurnal SPEKTRUM Vol 6 No 3 (2019): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.6 KB) | DOI: 10.24843/SPEKTRUM.2019.v06.i03.p23

Abstract

Gringsing is one of the traditional fabrics that are characteristic of the Tenganan Pegringsingan Village. Gringsing is quite unique because in its manufacture it uses double-ikat techniques, where this technique can only be found in three places in the world, such as Japan, India, and Tenganan Pegringsingan Village. In 2016 Gringsing was certified by the Ministry of Law and Human Rights of the Republic of Indonesia as a Geographical Indication. This study aims to building a deep learning model to recognize Gringsing motifs and know the performance of the model, so that people can more easily recognize Gringsing motives without having special abilities. The model was built using the Convolutional Neural Network (CNN) method with the AlexNet architectural model. Tests are conducted to determine the performance of the model such as training time, accuracy, precision, recall, and f-measure value. Based on the test results the model built was able to complete 100 epoch training with a time of 19,33 hours, and has an accuracy value of 76%, 74.1% of precision, 72.3% of recall, and 0.73 of F-measure.
Analisis Usability Pada Aplikasi Ayoowork Baliyoni Menggunakan Use Questionnaire Putu Aryasuta Wicaksana; Ida Bagus Alit Swamardika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 20 No 2 (2021): (Juli-Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2021.v20i02.P17

Abstract

Abstract— Basically, building a system is to meet the needs of its users, where the system must consider the ease, comfort, and satisfaction of using the information system. Several studies have shown that these aspects can be measured through usability analysis. This research was conducted to analyze the usability of a project management information system developed and used at PT. Baliyoni Saguna Group. The purpose of this study is to determine the level of usability of information systems or usability by measuring four aspects of usability, Measurements are made using the Use Questionnaire which is measured using a Linkert scale with a scale of 5. So it is hoped that this research in the future can be a reference for companies to continue to develop information systems to support business activities and increase company competitiveness. The results of the study indicate that the Ayoowork Baliyoni information system has a good usability level with a score interpretation value of 62.07%. The scores of each aspect measured are usefulness with a score of 593 or 62.94%, ease of use 61.39%, ease of learning 60.59%, and satisfaction with 63.03%.
Literature Review Analisis Perilaku Pelanggan Menggunakan RFM Model Putu Aryasuta Wicaksana; Ida Bagus Alit Swamardika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P04

Abstract

Intisari— Data merupakan aset bagi setiap perusahaan, utamanya adalah Data Pelanggan. Pengolahan data pelanggan selanjutnya dapat disebut sebagai Data Mining. Ketatnya persaingan industri saat ini membuat perusahaan harus cermat didalam mengolah data pelanggan mereka, salah satunya pengolahan data pelanggan untuk operasi CRM. Dimana tujuannya adalah untuk dapat mengenali pelanggan dengan menganalisis perilaku pelanggan. Sehingga ini dapat menjadi suatu investasi bagi perusahaan. Perilaku pelanggan dapat diramalkan dengan menggunakan RFM model. Dan pada penelitian ini penulis melakukan literature review mengenai implementasi RFM Model pada data mining didalam membantu perusahaan untuk lebih memahami pelanggan mereka. Dari hasil review yang dilakukan RFM model pada rentang Tahun 2016 – 2021 lebih banyak dikombinasikan dengan teknik data mining yaitu algoritma clustering, dimana tujuannya adalah untuk mengelompokkan atau melakukan segmentasi pelanggan. Dan dari hasil review penulis juga memformulasikan riset yang dapat dilakukan, yaitu mengkombinasikan RFM model dengan metode TOPSIS.
Literature Review Analisis Perilaku Pelanggan Menggunakan RFM Model Putu Aryasuta Wicaksana; Ida Bagus Alit Swamardika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P04

Abstract

Intisari— Data merupakan aset bagi setiap perusahaan, utamanya adalah Data Pelanggan. Pengolahan data pelanggan selanjutnya dapat disebut sebagai Data Mining. Ketatnya persaingan industri saat ini membuat perusahaan harus cermat didalam mengolah data pelanggan mereka, salah satunya pengolahan data pelanggan untuk operasi CRM. Dimana tujuannya adalah untuk dapat mengenali pelanggan dengan menganalisis perilaku pelanggan. Sehingga ini dapat menjadi suatu investasi bagi perusahaan. Perilaku pelanggan dapat diramalkan dengan menggunakan RFM model. Dan pada penelitian ini penulis melakukan literature review mengenai implementasi RFM Model pada data mining didalam membantu perusahaan untuk lebih memahami pelanggan mereka. Dari hasil review yang dilakukan RFM model pada rentang Tahun 2016 – 2021 lebih banyak dikombinasikan dengan teknik data mining yaitu algoritma clustering, dimana tujuannya adalah untuk mengelompokkan atau melakukan segmentasi pelanggan. Dan dari hasil review penulis juga memformulasikan riset yang dapat dilakukan, yaitu mengkombinasikan RFM model dengan metode TOPSIS.
Analisis Usability Pada Aplikasi Ayoowork Baliyoni Menggunakan Use Questionnaire Putu Aryasuta Wicaksana; Ida Bagus Alit Swamardika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 20 No 2 (2021): (Juli-Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2021.v20i02.P17

Abstract

Abstract— Basically, building a system is to meet the needs of its users, where the system must consider the ease, comfort, and satisfaction of using the information system. Several studies have shown that these aspects can be measured through usability analysis. This research was conducted to analyze the usability of a project management information system developed and used at PT. Baliyoni Saguna Group. The purpose of this study is to determine the level of usability of information systems or usability by measuring four aspects of usability, Measurements are made using the Use Questionnaire which is measured using a Linkert scale with a scale of 5. So it is hoped that this research in the future can be a reference for companies to continue to develop information systems to support business activities and increase company competitiveness. The results of the study indicate that the Ayoowork Baliyoni information system has a good usability level with a score interpretation value of 62.07%. The scores of each aspect measured are usefulness with a score of 593 or 62.94%, ease of use 61.39%, ease of learning 60.59%, and satisfaction with 63.03%.
Co-Authors Duman Care Khrisne I MADE SUDARMA Ida Bagus A. Swamardika Rukmi Sari Hartati