Claim Missing Document
Check
Articles

Found 16 Documents
Search

The Synthesis of Y-zeolite-modified CaCO3-ZnO Nanocomposites as an Antibacterial Agent Artissiani, Maysa; Widiarti, Nuni; Wahyuni, Sri; Widhihastuti, Endah; Ni'ma, Neli Syahida
Jurnal Kimia Valensi Jurnal Kimia VALENSI, Volume 10, No. 1, May 2024
Publisher : Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v10i1.36246

Abstract

The ability of inorganic antibacterial agents like metal oxides and nanoscale inorganic materials to inhibit bacterial growth rates has yet to receive much research attention. In this study, CaCO3-ZnO/Y-zeolite nanocomposites were created utilizing coprecipitation and impregnation techniques with Ca(CH3COO)2, Zn(CH3COO)2 2H2O, Y-zeolite precursors. Physical and chemical characteristics of nanocomposites have been investigated using XRD, FTIR, and SEM-EDX characterizations. The agar-well diffusion method tested the substance for antibacterial activity against gram-positive and gram-negative bacteria. Nanocomposites have a crystal size range of 35.46-36.53 nm and a crystallinity of 35-37 %, according to the results of XRD analysis. The carbonate groups are visible in FTIR data at wave numbers 1433, 875, and 712 cm-1. The Zn-O absorption band was verified at wave numbers 600-400 cm-1. The Y-zeolite absorption bands at wave numbers 1012-997 cm-1 and 745-746 cm-1 were confirmed. The particle morphology is cube-shaped with irregular sizes. The EDX result showed that the composition consists of 35.92 % calcium, 1.68 % zinc, 44.81 % oxygen, and 13.79 % carbon as elements. With the addition of 2.5 % Y-zeolite, the antibacterial activity of nanocomposites showed the best results, with an inhibition zone diameter of 7.62 mm against Escherichia coli and 6.56 mm against Staphylococcus aureus bacteria.
SOSIALISASI DAN DETEKSI DINI PENCEGAHAN HIPERKOLESTEROLEMIA SERTA PENGEMBANGAN PRODUK ROSELLA BAGI MASYARAKAT DESA BINAAN JATIREJO Widhihastuti, Endah; Rakainsa, Senda Kartika; Christijanti , Wulan
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 8 No. 2 (2024): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v8i2.7007

Abstract

Penelitian ini bertujuan untuk meningkatkan kesadaran dan pengetahuan masyarakat Jatirejo mengenai pencegahan hiperkolesterolemia melalui pemanfaatan Tanaman Obat Keluarga (TOGA) serta memberikan keterampilan pengolahan produk selai bunga rosella. Program pengabdian yang dilakukan meliputi sosialisasi, pelatihan pengolahan selai rosella, dan deteksi dini penyakit degeneratif. Hasil menunjukkan peningkatan pengetahuan masyarakat tentang penyakit degeneratif dan potensi pengembangan produk olahan dari rosella. Kondisi kesehatan masyarakat tergolong baik dimana terdapat 50% masyarakat Jatirejo memiliki tekanan darah normal, 93,3% memiliki gula darah normal, serta 76,67 memiliki kolesterol normal. Akan tetapi 62,5% responden laki laki dan 45,45% pada wanita memiliki kadar asam urat tinggi. Dampak dari kegiatan Pengabdian kepada Masyarakat ini adalah terpantaunya kondisi kesehatan Masyarakat Jatirejo, mengurangi resiko penyakit hiperkolesterolemia dengan peningkatan pengetahuan penyakit hiperkolesterolemia, serta keterampilan pengelolaan produk selai Rosella untuk peningkatan perekonomian warga.
Improved recommender system using Neural Network Collaborative Filtering (NNCF) for E-commerce cosmetic product Subhan, Subhan; Syarif, Deny Lukman; Widhihastuti, Endah; Rakainsa, Senda Kartika; Sam'an, Muhammad; Ifriza, Yahya Nur
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.014

Abstract

This study presents an enhanced recommender system tailored for e-commerce platforms specializing in cosmetic products. Traditional recommender systems often need help providing accurate and personalized recommendations due to the complexity and subjectivity inherent in cosmetic preferences. In e-commerce, personalized product recommendations are crucial to improving user engagement and driving sales. This paper presents an innovative approach to enhance recommendation systems by leveraging neural network collaborative filtering techniques for the cosmetic product domain. The proposed method integrates neural networks into collaborative filtering, namely neural network collaborative filtering with improved preprocessing step. To validate the effectiveness of our proposed system, extensive experiments were conducted using real-world e-commerce cosmetic datasets "eCommerce Event History in Cosmetics Shop".   Additionally, we evaluate the system's performance using historical e-commerce event data in cosmetics stores, demonstrating the system's effectiveness with mean reciprocal ratings (MRR) and normalized discount cumulative gain (NDCG). Evaluation Metrics of MRR and NDCG in this study got 0.56 and 0.60, respectively, with a split of the data: 70% train data, 15% validation data, and 15% test data. This study obtained better evaluation metrics than the previous study, which had an MRR of 0.31 and NDGC of 0.32. Furthermore, this model exhibits robustness against data sparsity and cold-start problems commonly encountered in e-commerce platforms. This research advances knowledge of recommendation systems and paves the way for more personalized and efficient online shopping experiences.
Analysis of Hydroquinone in Face Whitening Cream Circulating in Semarang City Using UV-Vis Spectrophotometry Method SIRAIT, Ernessa Indah Rotua; Widhihastuti, Endah
Journal of Science and Technology Research for Pharmacy Vol 3 No 1 (2023)
Publisher : Universitas Negeri Semarang

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

Abstract

The Food and Drug Supervisory Agency of the Republic of Indonesia issued a regulation that hydroquinone with levels above two percent is a class of strong drugs that can only be given with a doctor's prescription. However, reality shows that many manufacturers misuse hydroquinone as an over-the-counter cream with a content of more than 2%. This study aims to determine the validity of the UV-Vis spectrophotometric method for hydroquinone analysis, to test the hydroquinone content and levels in whitening creams sold in Semarang, and to ascertain whether these levels comply with BPOM regulations. A total of 10 samples of facial whitening creams obtained from cosmetic shops located in North Semarang, East Semarang, West Semarang, Central Semarang and South Semarang were subjected to qualitative tests and quantitative tests. Method validation test was carried out to ensure the validity of the results obtained. The validation parameters used are linearity, LOD and LOQ, precision and accuracy. The results showed that the UV-Vis spectrophotometric method was valid for hydroquinone analysis in samples of facial whitening cream for all tested parameters. The linear regression equation obtained is y=0,0132x+0,0655 with r=0,9986 and R2=0,9973; the maximum wavelength is 294 nm, high precision with %RSD obtained by 0,84%, the LOD and LOQ values ​​were 2,5 µg/ml and 8,3 µg/ml, and the accuracy value was 100,211%. Then a qualitative test was carried out on each sample of facial whitening cream by comparing the spectrum between each sample and the standard spectrum of hydroquinone to identify the presence or absence of hydroquinone. The results of samples A, G, H, and J were not identified as containing hydroquinone, while samples B, C, D, E, F, and I were identified to contain hydroquinone. The quantitative test was carried out by determining the levels of hydroquinone in a sample of facial whitening cream using a linear regression equation. The hydroquinone content in the sample A, G, H, and J could not be determined because they were not detected by the spectrophotometer used. Hydroquinone levels in creams B, C, D, E, F, and I each have a value of 0.84%; 4.77%; 0.74%; 2.27%; 4.75%; and 1.39%.
Formulation and Sunscreen Activity of Cream Preparation from Iler Leaves Extract (Coleus scutellarioides (L.) Benth) Widhihastuti, Endah; Larasati, Dhatu Sekar; Priatmoko, Sigit; Rakainsa, Senda Kartika
Indonesian Journal of Chemical Science Vol. 13 No. 1 (2024)
Publisher : Prodi Kimia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ijcs.v13i1.3583

Abstract

Paparan sinar ultraviolet memiliki efek positif seperti membantu produksi vitamin D, tetapi jika terlalu berlebihan dapat menyebabkan inflamasi akut, eritema, hiperpigmentasi, penuaan dini, dan kanker kulit. Oleh karena itu, diperlukan perlindungan tambahan yaitu tabir surya untuk menyerap atau memantulkan sinar UV. Penelitian ini bertujuan untuk menguji potensi ekstrak etanol dari daun iler (Coleus scutellarioides (L.) Benth) sebagai tabir surya dan memformulasikannya menjadi krim. Penelitian ini dilakukan dengan mengekstraksi simplisia daun iler dengan metode maserasi dan pelarut etanol 96%. Uji fitokimia dilakukan pada ekstrak  untuk menentukan kandungan metabolit sekunder. Ekstrak dengan berbagai konsentrasi diuji aktivitas tabir surya dengan menentukan nilai SPF, %Te, dan %Tp. Hasil penelitian menunjukkan bahwa ekstrak daun iler dengan nilai SPF terbaik adalah pada konsentrasi 0,3% dengan nilai SPF 29 yang berada dalam kategori tabir surya dengan perlindungan ultra. Formula krim F1 dengan kandungan asam stearat 17% dan trietanolamin 2% paling memenuhi evaluasi persiapan krim dengan nilai SPF 5 yang tergolong sedang, serta nilai %Te dan % Tp berturut 0,26359 dan 0,38828 yang tergolong sunblock.
The Synthesis of Y-zeolite-modified CaCO3-ZnO Nanocomposites as an Antibacterial Agent Artissiani, Maysa; Widiarti, Nuni; Wahyuni, Sri; Widhihastuti, Endah; Ni'ma, Neli Syahida
Jurnal Kimia Valensi Jurnal Kimia VALENSI, Volume 10, No. 1, May 2024
Publisher : Department of Chemistry, Faculty of Science and Technology Syarif Hidayatullah Jakarta State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v10i1.36246

Abstract

The ability of inorganic antibacterial agents like metal oxides and nanoscale inorganic materials to inhibit bacterial growth rates has yet to receive much research attention. In this study, CaCO3-ZnO/Y-zeolite nanocomposites were created utilizing coprecipitation and impregnation techniques with Ca(CH3COO)2, Zn(CH3COO)2 2H2O, Y-zeolite precursors. Physical and chemical characteristics of nanocomposites have been investigated using XRD, FTIR, and SEM-EDX characterizations. The agar-well diffusion method tested the substance for antibacterial activity against gram-positive and gram-negative bacteria. Nanocomposites have a crystal size range of 35.46-36.53 nm and a crystallinity of 35-37 %, according to the results of XRD analysis. The carbonate groups are visible in FTIR data at wave numbers 1433, 875, and 712 cm-1. The Zn-O absorption band was verified at wave numbers 600-400 cm-1. The Y-zeolite absorption bands at wave numbers 1012-997 cm-1 and 745-746 cm-1 were confirmed. The particle morphology is cube-shaped with irregular sizes. The EDX result showed that the composition consists of 35.92 % calcium, 1.68 % zinc, 44.81 % oxygen, and 13.79 % carbon as elements. With the addition of 2.5 % Y-zeolite, the antibacterial activity of nanocomposites showed the best results, with an inhibition zone diameter of 7.62 mm against Escherichia coli and 6.56 mm against Staphylococcus aureus bacteria.