Rancang Bangun Sistem Pendukung Keputusan Pemilihan Smartwatch Menggunakan Metode Simple Additive Weighting

⭐ Moyana Jaya, Calvin (2021) Rancang Bangun Sistem Pendukung Keputusan Pemilihan Smartwatch Menggunakan Metode Simple Additive Weighting. Bachelor Thesis, Universitas Multimedia Nusantara.

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Abstract

Berkembangnya pasar smartwatch selama beberapa tahun terakhir serta penerimaan smartwatch di pasar konsumen telah menjadi topik penting bagi peneliti dan perancang. Dengan banyaknya jenis smartwatch yang sudah diapasarkan beserta banyaknya kriteria yang ada pada smartwatch dan kurangnya pengetahuan mengenai smartwatch, banyak hal yang harus dipertimbangkan sebelum membeli smartwatch seperti membandingkan setiap kriteria yang ada dan alternatif lainnya. Penelitian ini dilakukan dengan merancang dan membangun sistem pendukung keputusan pemilihan smartwatch menggunakan metode simple additive weighting (SAW) untuk membantu user dalam menentukan smartwatch yang sesuai berdasarkan kriteria preferensi yang ada. Sistem dievaluasi menggunakan End-User Computing Satisfaction (EUCS) dan mendapatkan hasil akhir sebanyak 82% yang menyatakan user sangat setuju bahwasanya sistem dapat memuaskan user yang terdiri dari content, accuracy, format, ease of use dan timeliness.

Item Type:	Thesis (Bachelor Thesis)
Creators:	Moyana Jaya, Calvin (00000015941)
Contributors:	Twince Tobing, Fenina Adline
Keywords:	End-User Computing Satisfaction, Simple Additive Weighting, Sistem Pendukung, Smartwatch
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware > 004.2 Systems Analysis and Design, Information Architecture, Performance Evaluation
Sustainable Development Goals:	Goal 08. Promote sustained, inclusive and sustainable economic growth, full and productive employment and work for all Goal 09. Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Divisions:	Faculty of Engineering & Informatics > Informatics
Date Deposited:	24 Aug 2021 22:05
URI:	https://kc.umn.ac.id/id/eprint/16130

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