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All Journal ILKOM Jurnal Ilmiah Jurnal Komunikasi Profesional
Pamungkas, Adhi Yoga Muris
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Arts Humanities Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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PENTINGNYA MEMAHAMI ETIKA DALAM MENGAMBIL DAN MENGOLAH DATA Saputra, Faris Sandra; Pamungkas, Adhi Yoga Muris; Faisal, Syafrie Dwi; T, MHD Raihan Natigor; Rakhmawati, Nur Aini
Jurnal Komunikasi Profesional Vol 3, No 1 (2019)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (128.727 KB) | DOI: 10.25139/jkp.v3i1.1187

Abstract

In today's technological era, most human activities are closely related to digitalization. This causes data growth to increase dramatically. The potential for data dissemination is also very wide open, so that as the owner of personal data and active technology users, many people are worried that their data is not used properly by the parties concerned about the benefits, fairness, approval and confidentiality. Therefore a number of written rules were made such as Article 32 of the ITE Law relating to data use interference as a basis for rules. The importance of having an understanding and knowledge related to ethical basis and data processing methods is also necessary as a technical guide to direct all data processing activities. However, there are still many parties who ignore the rule. It is not true that the process of retrieving and processing data also makes the final result not in accordance with the original goal. In this paper we will explain some examples of technical data collection and processing methods. A description of ethical theory will also be given. Then the challenges and principles in data collection and processing will be written. The hope of this paper can make the data users involved can use the data as they should according to applicable ethics, methods and laws.Keywords: Data, Data Collection, Data Processing, Ethics, Data Ethics
Deteksi Diabetik Retinopati menggunakan Regresi Logistik Tyasnurita, Raras; Pamungkas, Adhi Yoga Muris
ILKOM Jurnal Ilmiah Vol 12, No 2 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i2.578.130-135

Abstract

Retinopathy diabetic is a disease caused by diabetes mellitus complications that can cause damage to the retina of the eye. It has a direct impact on the disruption of the vision of the patient. Detecting this disease is very important to prevent total blindness on diabetes mellitus patients. One method to do the detection is by using machine learning. This research uses feature extraction data from an image that contains signs of retinopathy diabetic or not. In this research, we focus on retinopathy diabetic classification. We applied logistic regression algorithm for classification. There is four training condition in a machine learning model: using the default parameter, feature standardization, feature selection, and hyper-parameter tuning. The model used a regularization control (C) value of 11.288, iterations 200, and a regularization penalty (l1). The experimental results show that this proposed model with full features produced 80,17% accuracy in data validation.
Pentingnya Memahami Etika dalam Mengambil dan Mengolah Data Saputra, Faris Sandra; Pamungkas, Adhi Yoga Muris; Faisal, Syafrie Dwi; T, MHD Raihan Natigor; Rakhmawati, Nur Aini
Jurnal Komunikasi Profesional Vol 3 No 1 (2019)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (128.727 KB) | DOI: 10.25139/jkp.v3i1.1187

Abstract

In today's technological era, most human activities are closely related to digitalization. This causes data growth to increase dramatically. The potential for data dissemination is also very wide open, so that as the owner of personal data and active technology users, many people are worried that their data is not used properly by the parties concerned about the benefits, fairness, approval and confidentiality. Therefore a number of written rules were made such as Article 32 of the ITE Law relating to data use interference as a basis for rules. The importance of having an understanding and knowledge related to ethical basis and data processing methods is also necessary as a technical guide to direct all data processing activities. However, there are still many parties who ignore the rule. It is not true that the process of retrieving and processing data also makes the final result not in accordance with the original goal. In this paper we will explain some examples of technical data collection and processing methods. A description of ethical theory will also be given. Then the challenges and principles in data collection and processing will be written. The hope of this paper can make the data users involved can use the data as they should according to applicable ethics, methods and laws.Keywords: Data, Data Collection, Data Processing, Ethics, Data Ethics
Pentingnya Memahami Etika dalam Mengambil dan Mengolah Data Saputra, Faris Sandra; Pamungkas, Adhi Yoga Muris; Faisal, Syafrie Dwi; T, MHD Raihan Natigor; Rakhmawati, Nur Aini
Jurnal Komunikasi Profesional Vol. 3 No. 1 (2019)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (128.727 KB) | DOI: 10.25139/jkp.v3i1.1187

Abstract

In today's technological era, most human activities are closely related to digitalization. This causes data growth to increase dramatically. The potential for data dissemination is also very wide open, so that as the owner of personal data and active technology users, many people are worried that their data is not used properly by the parties concerned about the benefits, fairness, approval and confidentiality. Therefore a number of written rules were made such as Article 32 of the ITE Law relating to data use interference as a basis for rules. The importance of having an understanding and knowledge related to ethical basis and data processing methods is also necessary as a technical guide to direct all data processing activities. However, there are still many parties who ignore the rule. It is not true that the process of retrieving and processing data also makes the final result not in accordance with the original goal. In this paper we will explain some examples of technical data collection and processing methods. A description of ethical theory will also be given. Then the challenges and principles in data collection and processing will be written. The hope of this paper can make the data users involved can use the data as they should according to applicable ethics, methods and laws.Keywords: Data, Data Collection, Data Processing, Ethics, Data Ethics
Co-Authors Faisal, Syafrie Dwi Nur Aini Rakhmawati Raras Tyasnurita Saputra, Faris Sandra T, MHD Raihan Natigor