Ahmad Setiadi
18 Papers
16 Citations
Ahmad Setiadi is an academic researcher. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 4, co-authored 14 publications.
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Papers
Pemanfaatan media sosial untuk efektifitas komunikasi
Ahmad Setiadi
- 01 Jan 2016
TL;DR: The phenomenon of social media presence as a result of the development of information and communication technology is remarkable as discussed by the authors, and with a variety of services that can be used, social media has changed the way we communicate in society.
Penerapan Metode Simple Additive Weighting(SAW) Untuk Pemilihan Siswa Terbaik
Ahmad Setiadi,Yunita Yunita,Anisa Ratna Ningsih +2 more
- 21 Sep 2018
TL;DR: In this paper, a metode Simple Additive Weighting (SAW) has been proposed to solve the problem of siswa terebaik in Sistem Pendukung Keputusan (SPK).
Implementation of Green IT In Education Industries
Ahmad Setiadi,Doni Purnama Alamsyah,Didin Syarifuddin,Didi Kurniadi,Ema Oktora +4 more
- 01 Oct 2018
TL;DR: In this paper, the authors reviewed the factor of green IT in educational industry and its impact to competitive advantage and found that green IT can truly improve the competitive advantage of educational industry.
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Implementation of AdaBoost Algorithm in Prediction of Chronic Kidney Disease
Taufik Asra,Ahmad Setiadi,Mahmud Safudin,Endah Wiji Lestari,Nila Hardi,Doni Purnama Alamsyah +5 more
- 01 Apr 2021
TL;DR: The results showed that using the algorithm obtained an accuracy value of 95%, 92% precision, and Area Under the Curve by 1.5 as discussed by the authors, whereas combining with Adaboost algorithm, it can improve the results of accuracy and precision with very good classification.
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IT Implementation of Customer Relationship Management
Nina Kurnia Hikmawati,Doni Purnama Alamsyah,Ahmad Setiadi +2 more
- 03 Nov 2020
TL;DR: In this article, a study of the implementation of customer relationship management is carried out concerning customer satisfaction and loyalty in supermarket consumers in Bandung, using a quantitative questionnaire, and three hundred forty-one respondents were taken randomly within a certain period and the data from the respondents were processed through linear regression analysis techniques with hypothesis testing.
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