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Analisis Resiko Keamanan Pada E-Commerce Shopee Terhadap Kenyamanan Konsumen Menggunakan Metode Kualitatif Muhamad Ginanjar BayuAji P; Muhammad Hafizh Al Mustofa; Rizqi Saputra; Syaiful Nur Wardani
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2023
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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Abstract

In this digital era, of course there have been many technological developments that are increasingly rapidly affecting the business market, so companies are required to keep up with times. E-commerce has several advantages including transactions do not need to be face-to-face, save time, make transactions easier, and more efficient. Behind these advantages, e-commerce has disadvantages, namely that it can expose consumers to fraud, personal data can be leaked, the system can experience errors and so on. The author made this research to analyze what risks can occur on e-commerce websites using the description analysis method and the purpose of this writing is so that the public can find out the risks that can occur at Shopee, so as to minimize losses that occur to both consumers. Due to uncertainty, every individual or organization's actions must contain risks. There may be a risk that there may be a lot of lack of information about things that will happen in the future, both profitable and detrimental. With the problem of possible risks for Shopee consumers, the Sampling Technique uses Voluntary Sampling, which is one of the main types of sampling methods. non-probability sample. The voluntary sample consists of people who self-opted into the survey. With a total of 315 respondents, it can be concluded that the results of the respondents indicate that transactions can be trusted. feel confident in sharing personal information, responsive in resolving user complaints, so that Shopee is proven to optimize security, service and problem solving for its consumers.
Analisis Harga Kuota Internet Menggunakan Metode Multiple Regresi Linear Muhammad Hafizh Al Mustofa; Nurmalitasari Nurmalitasari
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2023
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi yang semakin maju ditunjukkan pada meningkatnya penggunaan internet di zaman milenial. Hal tersebut dapat terjadi karena adanya perkembangan dan kebutuhan alat komunikasi semakin pesat. Salah satu kebutuhannya adalah kuota internet. Metode yang digunakan untuk memprediksi harga kuota internet adalah regresi linear berganda. Regresi liniear berganda adalah metode yang memodelkan variabel dependen dan variabel independen yang lebih dari satu, dengan menganalisis hubungan antar variabel-variabel tersebut. Dataset yang digunakan memiliki 250 data dengan 50 kolom,variabel dependen nya adalah harga dengan variabel independen nya adalah besar kuota GB, kecepatan per mbps,berdasarkan jenis daerah,dan masa aktif kuota per hari. Tujuan dari penulisan adalah mengenalkan penggunaan metode regresi linier pada masyarakat terutama pada golongan mahasiswa. Hasil evaluasi linier dalam nilai MAE,MSE,RMSE,dan MAPE menunjukkan bahwa data memiliki tingkat error yang cukup rendah. Grafik prediksi vs aktual menunjukkan bahwa nilai aktual dan prediksi tidak terlalu jauh,sehingga keakuratan prediksi menjadi tinggi.