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All Journal Jurnal Pendidikan Teknologi Informasi (JUKANTI)
Adi Nugroho
Universitas Kristen Satya Wacana, Kota Salatiga - Jawa Tengah
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media

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Klasifikasi Kualitas Kepuasan Pelanggan Pada Cold N Brew Coffee Menggunakan Algoritma Naive Bayes Epenetus Calvin; Adi Nugroho
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 7 No 2 (2024): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI NOPEMBER 2024
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v7i2.1293

Abstract

The system for assessing the level of customer satisfaction in coffee selling cafes is still very rarely implemented so that superiors do not know the advantages or disadvantages felt by customers, both in terms of service, products and facilities. This research aims to apply the Naïve Bayes Classification method, and use the Naïve Bayes algorithm to make calculations easier, after which data processing is carried out using the Confusion Matrix method as a tool to measure algorithm performance and obtain results on assessing the level of customer satisfaction of Cold N Brew coffee, aspects which is assessed based on service quality, product quality, facilities and price. This research uses quantitative research methods and collects data by distributing questionnaires to customers. Based on the results of manual testing carried out with 68 training data, 58 "SATISFIED" results were obtained, and 10 "NOT SATISFIED" results were obtained. Data testing using the Confusion Matrix method on RapidMiner using the Naïve Bayes algorithm produces an accuracy rate of 81.25%. Based on the data processing that has been carried out, the Naïve Bayes method can be recommended for predicting the quality of customer satisfaction at Cold N Brew coffee.
IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING DALAM PEMILIHAN JASA PENGIRIMAN BARANG Paulina Kota; Adi Nugroho
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 7 No 2 (2024): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI NOPEMBER 2024
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v7i2.1369

Abstract

The restrictions imposed by the government to prevent the spread of COVID-19 have had significant impacts, particularly on the economic sector, leading many companies and small shops to close their businesses. This situation has changed shopping habits, especially among students who use e-commerce platforms in collaboration with delivery service companies to meet personal needs. However, many items ordered through delivery services do not meet expectations upon arrival, such as damaged goods, lost items, and deliveries that do not match the estimated time. The purpose of this research is to create a calculation within the decision-making system that can assist students in making accurate and fast decisions using the SAW method. The data collection was conducted by distributing questionnaires to 100 respondents who are students and have used delivery services. Based on the results obtained using the SAW method, J&T Express ranked first with the highest final score of 0.881, followed by JNE in second place with a final score of 0.765. Next, in third place is SiCepat with a final score of 0.599, Ninja Express in fourth place with a final score of 0.291, POS Indonesia in fifth place with a final score of 0.238. Then, in sixth place is TIKI with a final score of 0.166, and finally, Lion Parcel ranked seventh with a final score of 0.124.
Co-Authors Epenetus Calvin Paulina Kota