Article Per Year (5 Year)
p-Index From 2019 - 2024
0.61
P-Index
This Author published in this journals
All Journal Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan jurnal teknik informatika dan sistem informasi
Zaman, Syahiduz
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Optimasi Konten Pemasaran dan Platform Online dengan Teknik Search Engine Optimization Erfin, Mahadir Muhamad; Mufiddin, Rifqi; Zaman, Syahiduz
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 3 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i3.5468

Abstract

Running a business just doing production is not enough but must do optimal product marketing. Business actors who market their products through conventional marketing will be unable to compete with other entrepreneurs who market their products through online platforms because online platforms are now widely found via the internet. Conventional product marketing is done because they do not understand the right optimization techniques in product marketing, especially in marketing content optimization strategies and the use of online platforms. Optimization of content marketing and online platforms requires a technique known as SEO or Search Engine Optimization. This technique is used to help optimize marketing precisely in determining content and showing product content in internet searches through online platforms. Product content and optimized online platforms will provide a great help in product marketing. This study aims to explain marketing content optimization strategies and online platform settings so that they can display shrimp cracker product content posts on the search page. The results of this study are able to optimize the marketing content of the right shrimp cracker products and display product keyword search results on internet search pages through the online platforms Tumblr, TribunJualBeli, and Carousell.
Pengujian akurasi model regresi logistik multinomial untuk memprediksi keberhasilan mahasiswa di perguruan tinggi menggunakan r Baskoro, Sentot Eko; Suhartono, Suhartono; Chamidy, Totok; Zaman, Syahiduz
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 5 No. 3 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/fairvalue.v5i3.2472

Abstract

Higher education institute should have maintained its student’s success in their academic field. Therefore, higher education institute should make a model to predict its success as early as possible. To have such model, the impacting factors should be determined, which factor are in the forms of continuous dan categorized data. This research is aimed to build logistic regression model based on compounded data from continuous and categorized data, which then test the model accuracy to predict the student’s success in such institute. Research data is using 68 student’s data. There are 6 research steps, first, data preparation and collection, second, data analysis, third, building the logistic multinomial regression model, fourth, data testing and validation, fifth, measure the model accuracy, and the sixth step is drawing the conclusion based on the analysis output. The result of prediction analysis dan accuracy test using logistic multinomial regression is the best model with significant factors that influence the study time are gender, department and selection track, while prediction accuracy model for each study time response variable is 96.4%.
Co-Authors Baskoro, Sentot Eko Caterina, Yessy Erfin, Mahadir Muhamad Mufiddin, Rifqi Muhammad Ainul Yaqin Suhartono totok chamidy