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All Journal Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Rizqi Saputra
Universitas Duta Bangsa Surakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics

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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.
Penerapan Metode Regresi Linear Berganda Untuk Prediksi Harga Smartphone Android Menggunakan Python Rizqi Saputra; 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

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Abstract

Pada era digital saat ini, prediksi harga smartphone menjadi penting bagi produsen, konsumen, dan pengambil keputusan di industri teknologi. Tujuan dari penelitian ini adalah untuk mengembangkan model prediksi harga smartphone Android berdasarkan fitur-fitur yang dianalisis menggunakan analisis regresi berganda dan bahasa pemrograman Python. Penelitian ini menggunakan data dari 90 smartphone Android yang dijual secara online. Beberapa variabel, seperti tinggi, berat, ukuran, kapasitas baterai, ram, dan penyimpanan digunakan sebagai variabel independen, dan harga smartphone digunakan sebagai variabel dependen. Hasil analisis menunjukkan bahwa model regresi linier berganda dapat digunakan dalam memprediksi harga smartphone. Pembacaan model menggunakan koefisien regresi, intercept, mean absolute error,mean squared error,root mean squared error, dan nilai p untuk menilai tingkat kepentingan dan kualitas model. Perhitungan teknik regresi linear berganda untuk memprediksi harga smartphone menghasilkan mae senilai 46, mse senilai 3891, dan rmse senilai 62. Model ini dapat digunakan untuk memprediksi harga smartphone berdasarkan spesifikasi tertentu. Sebagai contoh, sebuah model dengan tinggi 165mm, berat 201g, layar 6,5 inci, baterai 4000mah, spesifikasi ram 8GB, dan penyimpanan 64GB diperkirakan akan dibanderol dengan harga $157 atau sekitar Rp2.355.000. Penelitian ini bertujuan untuk memberikan kontribusi pada analisis data smartphone dan prediksi harga. Produsen, penjual, dan konsumen dapat menggunakan hasil penelitian ini untuk menginformasikan harga, pemasaran, dan keputusan pembelian smartphone mereka. Selain itu, penelitian ini juga dapat menstimulasi penelitian dan pengembangan lebih lanjut di bidang analisis data dan peramalan harga.
Co-Authors Muhamad Ginanjar BayuAji P Muhammad Hafizh Al Mustofa Nurmalitasari Nurmalitasari Syaiful Nur Wardani