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All Journal Al Tijarah Jurnal Teknologi Sistem Informasi dan Aplikasi
Putri, Cindy Ananda
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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The Influence Of Live Streaming, Discounts, And Content Marketing On Purchasing Decisions On Tiktok Shop (Study On Generation Z Consumers in Sidoarjo) Putri, Cindy Ananda; Muhammad Yani; Mas Oetarjo
Al Tijarah Vol. 10 No. 2 (2024): Al Tijarah l December
Publisher : University of Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/at.v10i2.14275

Abstract

Tiktok is a creative video application developed by the Chinese-based company Bytedance, China in September 2016. Tiktok's popularity began to skyrocket in 2018. It has been downloaded 67.4 million times in Indonesia in 2023. In September 2021, Tiktok adapted by adding a shopping feature to its application known as Tiktok Shop. This study aims to measure the level of influence of live streaming, discounts, and content marketing on purchasing decisions at Tiktok Shop. The sampling technique in this study used a purposive sampling technique and used the Lemeshow formula to determine the number of samples due to the unknown population, with a result of 100 respondents. Data collection was carried out by distributing questionnaires to Tiktok Shop users. This study is quantitative and uses the SmartPLS analysis tool. The results of the study show that live streaming, discounts, and content marketing have a positive and significant effect on purchasing decisions at Tiktok Shop in Sidoarjo.
Sistem Pendukung Keputusan Menggunakan Metode SAW dan TOPSIS untuk Memutuskan Penerima Reward Karyawan Terbaik di McD Pancing Putri, Cindy Ananda; Hasugian, Abdul Halim
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.38231

Abstract

In every industry or institution, there will definitely be a reward in the form of income for employees as compensation for the work they have done. Apart from giving out main income rewards to employees, each industry or institution often gives out rewards in addition to main income to encourage the productivity and abilities of its employees. The rewards given to McD Pancing employees are in additional form and will be given outside of their main income. Evaluation of employee abilities is based on benchmarks that have been established by the institution. However, currently the system of giving rewards to McD Pancing employees has various shortcomings, such as giving rewards which are being tried based on individual analysis and the assessment is still individual, not transparent, less efficient and there is little precision or accuracy in giving rewards. To help select McD Pancing employees who are competent to receive rewards appropriately and carefully and respond to problems that arise, a Decision Support System (DSS) is needed as a solution to these cases. The expertise of the system for collecting decisions uses methods that have been created so that it is hoped that the assessment method will be much more accurate, efficient and efficient using the TOPSIS and SAW methods. The TOPSIS method is based on the design that the best filtered substitute not only has the shortest distance from the positive perfect solution but also has the longest distance from the minus perfect solution. Based on the results of this research, it is proven that employees who receive rewards as the best employees according to the SAW and TOPSIS method calculations are determined by employees with SAW calculation results of 87.06 and TOPSIS calculation results of 0.679 and mixed results of 43.89.
Co-Authors Abdul Halim Hasugian Mas Oetarjo Muhammad Yani