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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal IPTEK Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika INTEGER: Journal of Information Technology Prosiding Seminar Nasional Sains dan Teknologi Terapan Indonesian Journal of Electrical Engineering and Computer Science Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Muchamad Kurniawan
Institut Teknologi Adhi Tama Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : INTEGER: Journal of Information Technology

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Review Pemanfataan Data Electroencephalogram (EEG) dengan metode Convolution Neural Network Muchamad Kurniawan; Andy Rachman; Adib Pakarbudi
INTEGER: Journal of Information Technology Vol 6, No 2: September 2021
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v6i2.2419

Abstract

Electroencephalogram (EEG) is a brain data signal that is captured by sensors. Many studies have used EEG to be used as a decision maker or classifying. What classification has been used most frequently in existing studies over the last 5 years? These are the questions that will be answered in this research. In addition to these questions, another question that will be answered is what is the most popular method used in processing EEG data? The final question in research is the recent development of EEG and CNN research. The results of these answers are the most popular research using the CNN method as a classification method, the application of the field of Human-computer InterfacesKeywords: Electroencephalogram, Convolution Neural Network.  
Analisis Fast Moving Consumer Goods untuk Memprakirakan Penjualan Barang Menggunakan Metode Triple Exponential Smoothing Nanda Hafiz Ar; Muchamad Kurniawan
INTEGER: Journal of Information Technology Vol 6, No 2: September 2021
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v6i2.2311

Abstract

Fast Moving Consumer Goods (FMCG) refers to a business sector generating economy particularly in Indonesia. The movement of goods runs quickly as they belong to staple food and have relatively short shelf life. They are sometimes unpredictable and even out of stock specifically to goods in fast moving category. Consequently, business doers can lose opportunities. Therefore, sale prediction is necessary to reduce opportunity loss and stock piling upon the goods that should not be ordered excessively. This research conducted prediction through Triple Exponential Smoothing method in the period of January 2018 to June 2020 by taking 5 item samples that were then tried out using alpha 0.1 – 0.9. As a result, alpha 0.1 became the best alpha in this research compared to alpha 0.2 – 0.9. Out of 5 trials, alpha 0.1 (MAPE 22%, 19%, and 34%) occurred three times and alpha 0.2 (MAPE 34% and 11%) happened twice. However, this research has not obtained the best result yet as it has not satisfied the indicator of more than 10% whole MAPEs. Thus, Triple Exponential Smoothing Brown was less appropriate to the data being used. The calculation of estimation did not consider the data fluctuation such as Ramadhan event greatly affecting the data training and forecasting result
Co-Authors Abdul Holik Adela Rizky Oktavyani Ahmad Fawaz Aji Wicaksono Aldi Wachid Arifin Alexandria Felicia Seanne Ananda Galang Moeslim Humania Andy Rachman Anindya Berliana Santoso Anton Yudhana Astrid Dwi Karolin Nofana Bagas Eka Prasetyo Chelvin Suprapto Chrisna Adrian Dwiputra Haryono Ester Yulitania Toker Fadhilatur Rochman Fajar Yulian Siska Utama Hendro Nugroho Iqbal Izha Mahendra Khisby Al Ghofari M. Faj’rul Falaah Maftahatul Hakimah March Angga V. W Maryam Ummul Habibah Mitra Adhimukti Mohammad Fahry Sholahuddin Nadia Talina Syafina Naili Saidatin Nanda Hafiz Ar Nanik Suciati Pakarbudi, Adib Pambudi O.T. Rakha Satria Putra Rani Rotul Muhima Rani Rotul Muhima Sadewa Wibawanto Septiyawan Rosetya Wardhana Siti Agustini, Siti Sunardi, Sunardi