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All Journal JHP17 (Jurnal Hasil Penelitian) Journal of Economics and Business UBS Science Technology and Management Journal (STMJ)
Febrianti, Ervina
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Other

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ANALISIS PENGENDALIAN KUALITAS PRODUK POLYURETHANE SANDWICH PANEL DENGAN METODE OLD SEVEN TOOLS DI PT. ABC Suparjo, Suparjo; Febrianti, Ervina
JHP17 (Jurnal Hasil Penelitian) Vol 4 No 2 (2019)
Publisher : Lembaga Penelitian Dan Pengabdian Kepada Masyarakat Universitas 17 Agustus 1945 Surabaya

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

Abstract

PT.ABC is a manufacturing company that manufactures Plyurethane sandwich panels (PSP). PSPis widely used in several manufacturing industries as insulation walls in the refrigeration room. The coolingroom is usually used to store products so they are not easily damaged. In the PSP production process, thereare often defective products. These defects can occur due to operators, methods, machines, and theenvironment. In this study identification of the types of defects that may occur in the production process ofPSP is carried out. In addition, the causes of defects that occur to be given appropriate improvementproposals are also sought. The method used in this study is Seven tools. The results of this study can beused as a direction for companies to improve their production processes.Keywords: Quality Control, Seven Tools, defects Products
Metode dan Algoritma Dalam Sentimen Analisis: Systematic Literature Review Lutfina, Erba; Andriana, Wiwin; Wiratmaja, Sanina Quamila Putri; Febrianti, Ervina
Science Technology and Management Journal Vol. 4 No. 2 (2024): Agustus 2024
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v4i2.274

Abstract

This study highlights the advantages of sentiment analysis using algorithms in understanding public opinion, especially in the context of the increasing complexity of digital content. To investigate and present the latest developments in sentiment analysis, this study uses the Systematic Literature Review (SLR) method to identify and evaluate previously developed sentiment analysis methods. The research steps involve identifying significant sentiment analysis methods, assessing advantages and disadvantages, and critically reviewing recent advances. By applying algorithms in this process, it is expected to be able to analyze and describe the development of sentiment analysis research comprehensively. Through the application of the SLR method, this study is expected to provide in-depth insights into trends, challenges, and opportunities for future research in sentiment analysis, create a better understanding of effective sentiment analysis methods, and detail the expected results that can be expected in the development of sentiment analysis.
Implementasi Metode Simple Additive Weighting (SAW) Dalam Mendukung Keputusan Calon Penerima Beasiswa Pada MTS Nurul Ula Febrianti, Ervina; Lutfina, Erba; Saraswati, Galuh Wilujeng; Mahmud, Wildan
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.350

Abstract

Scholarships are a form of educational aid to support students’ academic pursuits, especially for those with outstanding performance or financial constraints. However, the scholarship recipient selection process at MTS Nurul 'Ula is still conducted manually, which often results in inefficiency and a lack of objective assessment standards. This manual process leads to subjective evaluations, takes a considerable amount of time, and may result in inaccurate scholarship decisions. Therefore, this study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to improve efficiency, accuracy, and transparency in the scholarship selection process. The SAW method was chosen because it allows for clear weighting of each selection criterion, such as academic grades, attitude scores, parental income, number of dependents, and extracurricular achievements. With this system, the selection process can be carried out more objectively based on structured mathematical weighting and calculations. The system is developed using the Delphi and MySQL database, following the Waterfall development model. The results of the study show that the implementation of the SAW-based DSS can accelerate the selection process, reduce subjectivity, and ensure that scholarships are awarded to students who meet the predetermined criteria. Thus, the system is expected to be a fairer, more accurate, and more efficient solution for supporting scholarship selection decisions at MTS Nurul 'Ula. Based on the results of the SAW calculations, an accuracy rate of 85% was achieved, indicating that the system provides accurate and reliable results in determining scholarship recipients.
Faktor yang Mempengaruhi Pengambilan Keputusan Investasi Cryptocurrency Febrianti, Ervina; Bakhtiar, M. Rifki
Journal of Economics and Business UBS Vol. 13 No. 1 (2024): Regular Issue
Publisher : Cv. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/joeb.v13i1.1370

Abstract

This research was used to measure the influence of investment knowledge, return, risk tolerance, financial literacy, regret aversion, and overconfidence on cryptocurrency investment decisions. This research is quantitative research where the objects used are the public or active investors who invest in cryptocurrency in Indonesia. The number of samples used in this research was 101 respondents. Data collection techniques use questionnaires and data processing and hypothesis testing using Spss. The results of this research explain that the variables investment knowledge, return, risk tolerance have a positive but not significant effect on cryptocurrency investment decisions. Meanwhile, financial literacy, regret aversion, overconfidence have a significant positive effect on cryptocurrency investment decisions.
Co-Authors Ali Djamhuri Andriana, Wiwin Lutfina, Erba M. Rifki Bakhtiar Saraswati, Galuh Wilujeng Wildan Mahmud Wiratmaja, Sanina Quamila Putri