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All Journal Jurnal Sains dan Teknologi Reaksi Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Prosiding University Research Colloquium
Kamila, K
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Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Hubungan Antara Sosiodemografi dan Pengetahuan dengan Perilaku Seksual Pranikah pada Mahasiswa Universitas X Di Kota Surakarta Setiyadi, Noor Alis; Tyas, Aktif Cahyaning; Kamila, K
Prosiding University Research Colloquium Proceeding of The 16th University Research Colloquium 2022: Bidang MIPA dan Kesehatan
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

Penelitian ini bertujuan untuk mengetahui faktor sosiodemografi dan pengetahuan terhadap perilaku seksual pranikah pada mahasiswa Universitas X di Surakarta. Penelitian ini bertujuan untuk mengetahui hubungan antara faktor pemahaman keagamaan, teman sebaya, dan media dengan perilaku seksual pranikah pada mahasiswa Universitas Muhammadiyah Surakarta. Penelitian ini menggunakan design penelitian cross-sectional dengan jumlah sampel 233 mahasiswa diambil dengan teknik purposive sampling. Uji statistik analisis bivariat menggunakan Chi-Square. Hasil penelitian menunjukkan bahwa uji statistik diketahui variabel sosiodemografi dan pengetahuan tidak ada hubungan dengan perilaku seksual pranikah.
Financial performance investigation of PT Acset Indonusa Tbk based on Du Pont and Common Size analysis Reswita, Jihan; Siregar, saparuddin; Kamila, K
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 2 (2024): Dinasti International Journal of Economics, Finance & Accounting (May - June 20
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i2.2626

Abstract

The Du Pont Analysis is a method of evaluating financial performance that breaks down Return on Equity into its main components. Common Size Analysis involves presenting financial statements by converting each account into a percentage of total revenue or assets. This research aims to investigate the financial performance of PT. Acset Indonusa Tbk, a construction company listed on the Indonesia Stock Exchange (IDX), during the period 2018-2022. The approach used is qualitative with a quantitative approach using the Du Pont System and Common Size methods. Data collection was conducted through literature review and documentation study. Secondary data were obtained from the company's financial statements downloaded from the official website. The results of this study indicate that the financial performance of PT. Acset Indonusa Tbk for the period 2018-2022 is considered poor. This is due to, of the five variables analyzed in the Du Pont System method, namely Net Profit Margin (NPM), Total Assets Turnover (TATO), Return on Assets (ROA), Equity Multiplier (EM), and Return on Equity (ROE) are below industry standards and only EM has increased. In the Common Size Analysis, it is shown that PT Acset Indonusa Tbk has faced several challenges in recent years, such as declining profitability, increasing expenses, and fluctuating funding structures.
OPTIMIZATION OF SWEETENER ISOLATION FROM STEVIA LEAVES USING RESPONSE SURFACE METHODOLOGY (RSM) Kamila, K; Fachraniah, F; Harunsyah, H
Jurnal Sains dan Teknologi Reaksi Vol 23, No 02 (2025): JURNAL SAINS DAN TEKNOLOGI REAKSI
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jstr.v23i02.8921

Abstract

The optimization of sweetener isolation from stevia leaves was carried out using the Response Surface Methodology (RSM). This study aimed to optimize the isolation process of sweeteners from Stevia rebaudiana Bertoni through RSM. The independent variables used were the number of extraction cycles (A) and particle size of the material (B), with four response parameters: extract yield percentage, sweetness level (%Brix), calorie content, and sweetness intensity. The experimental design applied the Central Composite Design (CCD) with quadratic regression model analysis. The results showed that both independent variables had significant effects on the response parameters, either individually or through interaction. Finer particle size (60–70 mesh) combined with the optimal number of extraction cycles enhanced sweetness and reduced the calorie content of the extract. The optimum conditions were obtained at 70 mesh particle size and two extraction cycles, with predicted values of 6.93% yield, 5.80% Brix sweetness, 27.02 kcal/100 g calories, and a sweetness intensity of 7.08. Model validation confirmed a good agreement between predicted and actual values, indicating that RSM is effective for optimizing the sweetener isolation process from stevia leaves. Keywords: Extraction, Extraction cycle, Optimization, Particle size, RSM (Response Surface Methodology), Stevia.
Co-Authors Aktif Cahyaning Tyas Fachraniah, F Harunsyah, H Noor Alis Setiyadi Reswita, Jihan Saparuddin Siregar