Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Jurnal Riset Terapan Akuntansi International Journal of Basic and Applied Science Makara Journal of Science
Puteri, Adelia
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Physics

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Authentication of Shallots from Brebes using Gas Chromatography Fingerprinting Technique Combined with Chemometrics Pradina, Yana Setyani; Puteri, Adelia; Rachma, Gina Fauzia; Balqis, Nazwa; Anggraini, Gerli Puspita; Wasito, Hendri
Makara Journal of Science Vol. 28, No. 3
Publisher : UI Scholars Hub

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

Abstract

Shallots from Brebes, also called Bima Brebes, have a more pungent aroma compared to other varieties. Its high demand results in increased prices in the market, leading to frequent cases of fraud wherein Bima Brebes shallots are replaced with other types of shallots. This study aimed to develop an analytical method using gas chromatography–flame ionization detector (GC-FID) fingerprinting combined with chemometrics to authenticate Bima Brebes shallots. Essential oils were extracted through ultrasonic hydrodistillation, followed by organoleptic, refractive index, GC-FID fingerprinting and chemometric analysis. The yield value of the five studied shallot varieties ranged from 0.02% to 0.08% w/w. Meanwhile, the organoleptic tests and refractive index values showed minimal differences among the five varieties. The GC-FID analysis revealed approximately 149 chromatogram peaks, and chemometric analysis, including principal component analysis, partial least squares-discriminant analysis, and hierarchical cluster analysis, was used to group and differentiate the chromatogram profiles of the five shallot varieties based on their types. Therefore, this method can be used as an alternative analysis technique for authenticating Bima Brebes shallots.
ANALISIS PREDIKSI KEBANGKRUTAN PADA PT FKS FOOD SEJAHTERA TBK PERIODE 2018-2022 Puteri, Adelia; Afrizawati, Afrizawati; Purnama Sari, Keti
Jurnal Riset Terapan Akuntansi Vol. 8 No. 2 (2024): JURNAL RISET TERAPAN AKUNTANSI
Publisher : Jurnal Riset Terapan Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13937761

Abstract

The purpose of this study was to analyze the prediction of bankruptcy using the Grover and Taffler model at PT FKS Food Sejahtera Tbk for the period 2018-2022. In this research, both models of bankruptcy prediction analysis are measured through the level of accuracy to determine the highest accuracy in the prediction model. Descriptive research method with a quantitative approach and using secondary data in the form of annual financial statements, namely the statement of financial position and income statement from PT FKS Food Sejahtera Tbk for the period 2018-2022. The results of this study indicate that the Grover model is predicted in 2018,2021 and 2022 to experience bankruptcy while 2019-2020 is predicted to be healthy and for the Taffler model in 2018, 2019, 2020 and 2021, PT FKS Food Sejahtera Tbk were predicted to be healthy or not bankrupt. While in 2022 the Taffler model predicts that the condition of the company is in a gray Area or prone to bankruptcy for the company. The accuracy level of Grover bankruptcy prediction analysis model is 40% and Taffler is 80% where Taffler model is the most accurate prediction model in this study. Keywords: Bankruptcy, Grover, Taffler.
Chemometric analysis of fingerprinting derivative spectrophotometry for authentication of shallots Puteri, Adelia; Wijaya, Triyadi Hendra; Wasito, Hendri
International Journal of Basic and Applied Science Vol. 13 No. 2 (2024): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v13i2.406

Abstract

The Bima Brebes, variety of shallots, was in high demand, which led to mixing with other varieties. Derivative spectrophotometric fingerprinting combined with chemometrics was used to distinguish between authentic and adulterated shallot varieties. The objective of this study was to identify the original spectra and their derivative spectrophotometric fingerprinting, as well as classify and differentiate between shallot varieties using chemometrics. UV-Visible (UV-Vis) spectrophotometry was used to test essential oil samples from three shallot varieties and their mixtures, followed by spectral derivatization. The spectral data revealed distinct patterns for each sample, including individual varieties and mixtures, and was then analyzed using Principal Component Analysis (PCA) and Partial Least Square-Discriminant Analysis (PLS-DA). The original spectra and their derivatives showed similarities across the samples. PCA and PLS-DA results indicated that the second-order derivative data provided the greatest separation, with a total Principal Component 1 (PC1) and Principal Component 2 (PC2) value of 62.2%, a total component 1 and 2 value of 60.1%, and the highest Variable Importance in the Projection (VIP) score wavelength of 225 nm. The PLS-DA results were validated to ensure that the model was not overfit, as evidenced by a satisfactory cross-validation quality (Q2/R2) value of 0.693 and a significant permutation test. The combination of derivative spectrophotometry fingerprinting and a chemometric approach effectively classified different samples, allowing for the determination of the authenticity of a specific shallot variety.
Co-Authors Afrizawati Afrizawati Anggraini, Gerli Puspita Balqis, Nazwa HENDRI WASITO Pradina, Yana Setyani Purnama Sari, Keti Rachma, Gina Fauzia Triyadi Hendra Wijaya