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Journal : Procedia of Social Sciences and Humanities

Kemandirian Pangan dengan Digital Marketing Hasil Urban Farming Eviyanti, Ade; Abror, M.; Arifin, Saiful
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.230

Abstract

Agricultural products developed by the community (members of the aisyiyah branch) through a partnership program with Pimpinan Aisyiyah Sidoarjo Region need a method to market so that it can be known by consumers. The use of yard land with the concept of urban farming produces several products including vegetables and fruits. The concept of urban farming is to utilize the land around the house or yard by growing organic vegetables polybag models, hydroponic systems, verticulture systems and tabulampot. People have difficulty in marketing vegetable products that are cultivated by urban farming. This service activity aims to form a community in independent aisyiyah branches by utilizing urban farming and digital marketing in the marketing concept. The problem of the community is to utilize land with the concept of urban farming that produces economically so that it can be used as a companion income in filling busyness. The solution of the problem is by providing skills through training in organic plant cultivation in polybags, hydroponic system wick system, verticulture model, and tabulampot. Manufacture of organic and non-organic nutrients as a solution to maintain the availability of fertilizers for plants. Training and practice of making digital marketing with the concept of social media utilizes marketplaces on facebook, whatsapp group, instangram and other platforms.
Extraction of EEG Signal Recording Features using Discrete Wavelet Transform (DWT) Method For Classification Of Ictal Epilepsy: Ekstraksi Fitur Rekaman Sinyal EEG menggunakan Metode Discrete Wavelet Transform (DWT) Untuk Klasifikasi Iktal Epilepsi Eviyanti, Ade; Fitrani, Arif Senja; Nisak, Umi khoirun
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.231

Abstract

Epilepsy is the most common neurological disorder in humans characterized by recurrent ictal (convulsions). Ictalism is defined as a sudden change in the electrical function of the brain, resulting in behavioral changes, such as loss of consciousness, jerky movements, loss of breath and temporary memory. Epilepsy is a chronic, non-communicable brain disease that affects about 50 million people worldwide. Electroencephalogram (EEG) signals contain important details regarding the electrical actions performed by the brain. EEG signal analysis is important for detecting diseases, one of which is epilepsy. However, these signals can be complex and require human expertise. The random, non-stationary behavior of the EEG signal makes ictal prediction difficult. So ictal detection and prediction is a very important issue. Various signal processing methods along with feature extraction are adapted to categorize EEG signal segments to obtain specific characteristics of the signal. The purpose of this paper is to improve the accuracy of the classification of epileptic ictal, then the EEG signal feature extraction is carried out so that the specific characteristics of the signal needed in the trial process are obtained. The study data used EEG signals from 24 patients from the CHB-MIT EEG public dataset from Children's Hospital, Boston. Signals were recorded from 23 epileptic children (of which 2 cases were obtained from the same child at 1.5 year intervals). The approach presented in this paper for feature extraction uses the Discrete Wavelet Transform (DWT) method to obtain the characteristics of the EEG signal, while for the classification process using the SVM method. It is hoped that the proposed method can detect epileptic ictal using EEG signal recording.
Co-Authors Abdiansah, Lutfi Abror, M Abror, M. Achmad Alfian Fajriansyah Adam Putra Adi Putra, Lutfi Agil Fajar Dwi Prasetyo Agustin, Erlina Ahmad Muflih Aisha Hanif Aliful Fatikh Pulunggono Suseta Alim, Kholqi Aminy, Ritzana Aisyah Andriani Eko Prihatiningrum, Andriani Eko Anggraeni, Anifah Warda Anjasmara, Dimas Bayu Arif Senja Fitrani Arif Senja Fitrani Astutik, Ika Ratna Indra Ayu Anggilina Ayu Dwi Ratna Ningsih Azizah, Nurul Lutfi Busono, Suhendro Chulloh, Dafid Mizta Cornelius, Cornelius Damasta, Ifanda Reza Deby Kurniawan Armananda Diba, Naila Farah Dimas Sya’aldi Pasa Dini Aprilia Puspitasari Dini Yocta Prabayanti Dona Ardiansyah Dulkarnain, As’ad Dwi Cahyono, Qitfirul Erika Anjani Putri Eriyanto, Sandi Eko Faiqotul Himma Ramadhanti Fanani, Muchammad Ichsanuddin Fandy Rachmatulloh Fitrani, Arif Senja Fuad Azis Muslim Ghozali, M Fahruddin Ginanjar Agung Sudrajat Guko, William Yviis Hamid, Moch Siddiq Hamzah Setiawan Hasan, Jamal Hazmi Ramadhan Al fatri Hendri Hermawan Hermawan, Tunggal Hibatullah Putra, Dimas Radito Hindarto Ika Ratna Indra Astutik Imanda, Almyra Gitta Indah Kurniawati Indra Astutik, Ika Ratna Indrawati, Marcella Intan Mauliana, Metatia khoirunnisa devita sari Lazuardi, Fajar Lola Herawati Luqmanul Hakiym Maulana M Fahruddin Ghozali Makhfudzoh, Fury Maulana, Mahardika Rafi Mauliana, Metatia Intan Ma’ruf , Mohammad Rizal Miftahurrohmat, A Miftakhurrohmat, A. Moch Alfan Rosyid Mochamad Alfan Rosid Mohammad Fadli Zaka Mohammad Rizal Ma'ruf Muchammad Bagus Sasmita muchammad david mahendra Muhammad Alfin Firdiansyah Muhammad Arif Fa’i Muhammad Fajar Alfian Naufal Raihan naufal Nisa, Umi Khoirun Nouval Aulia Rachman Novia Ariyanti Nuril Lutvi Azizah Octavia, Elga Padova Bima Maldini Pranatadityo, Billy Prasetyana, Dwi Gilang Ramadhan Pratama, Hepi Yoga Pratama, Robby Pratiwi, Rosa Machmuda Putra F, M. Bagus Putra, Fariq Abdillah Maulana Putri, Revanda Silva Astianto Ramdansyah, Adiffanani Reyhan Haqiqi Alif Fourniawan Rizki, M. Alvan Rohman Dijaya Rozzaq, Muhammad Rukhi Alfian, Muhammad Saiful Arifin Saiful Arifin Salsabil, Muhammad Saputra, Abhirama Senja Fitrani, Arif Setiawan, Hamzah Shiddqy Hidayat, Syahril Shierly Mayco Angela Siti Nurjanah Ramadhany Suhendro Busno Suhendro Busono Sukma Aji Sumarno , Sumarno Sumarno . Sumarno Sumarno Syaifudin, Hilmi Fajar Sylfanie Sekar Mayang Tasya Gusti Amalia Taurusta, Cindy Teguh Hardianto Putra Uce Indahyanti Umi Khoirun Nisak Vevy Liansari via nabila banda Viarini, Dina Dwi Okta Wardani, Gita Wijayanto, Moch Eri Witno, Kasaifi Al Qurdhowi Bin Wulandari, Alidza Septiam Yanita Wardhani Yulian Findawati Yunianita Rahmawati, Yunianita Yuzefa, Hihaniza Lela Zahputra, Aldy Trisza Zaka, Mohammad Fadli