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All Journal Ekonomi Bisnis Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri
Hotniar Siringoringo
Gunadarma University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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CONSUMER TRUST AND COUNTRY OF ORIGIN (Chinese Product Case on Indonesian Market) Hotniar Siringoringo; Margianti E.S.; Anacostia Kowanda; Trini Saptariani
Jurnal Ilmiah Ekonomi Bisnis Vol 16, No 3 (2011)
Publisher : Universitas Gunadarma

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Abstract

Study on Indonesian consumer trust towards Chinese products is rarely found. Low trust towards Chinese as producer as well as towards Chinese products perhaps is admitted by almost all consumers. However up to this time period this hasn’t become researcher’s interest. The objective of the study is thus to identify consumer trust towards Chinese products. Electronics product particularly was chosen as research object based on its penetration on Indonesian markets. For this purpose question­naire was used as research instrument. It was distributed to more than 300 respon­dents. Results show that consumer trust towards Chinese products is measured using four indicators, such as faith and believe in Chinese products, Chinese high tech­nology and long lasting live. Country of origin has five valid indicators which are Chinese innovativeness on electronics products, Chinese high technology, Chi­nese creativity in design, good quality in manufacture, and China as prestigious country. The highest contributor in building country of origin is its high tech­nology. On trust factor, the highest contributor is customer believe in Chinese electronics products. It also shows that country of origin influence customer trust significantly. Key Words : consumer trust, country of origin, Chinese products, Indonesian mar- ket.
PENGARUH FAKTOR MIKRO EKONOMI TERHADAP NILAI PERUSAHAAN MELALUI KEBIJAKAN DEVIDEN Sugiharti Binastuti; Nopirin Nopirin; Hotniar Siringoringo
Jurnal Ilmiah Ekonomi Bisnis Vol 17, No 3 (2012)
Publisher : Universitas Gunadarma

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Penelitian ini bertujuan untuk mengukur pngaruh faktor ekonomi mikro terhadapkebijakan dividen. Penelitian juga dimaksudkan untuk mengukur pengaruh faktorekonomi mikro terhadap nilai perusahaan secara langsung maupun secara tidaklangsung melalui kebijakan dividen. Data yang digunakan merupakan datasekunder dari Indonesian Capital Market Directory (ICMD) tahun 2001-2010.Objek penelitian adalah seluruh perusahaan sektor manufaktur yang tercatat diBursa Efek Indonesia (BEI) periode 2001 – 2010 yang membagi dividen minimal5 tahun berturut-turut. Data diolah menggunakan model persamaan struktural.Hasil menunjukkan bahwa keseluruhan faktor mikro ekonomi yakni likuiditas,leverage, ukuran perusahaan, dan profitabilitas berpengaruh terhadap kebijakandividen. Factor ekonomi mikro juga terbukti berpengaruh terhadap nilaiperusahaan baik secara langsung maupun tidak langsung melalui kebijakandividen.
Employees’ Satisfaction and Sentiment Analysis toward BERSATU Application Ayub Prasetyo; Hotniar Siringoringo; Firda Amalia
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.21-32

Abstract

The era of digitalization has boosted companies to adopt innovative technology in seizing competitive superiority. However, adaptation to the change often deals with constraints, affecting operational efficiency and effectiveness. In this regard, PT Beiersdorf Indonesia faces issues regarding the impact of digital transformation of the sales process from manual to digital using Beiersdorf Sales Activity Tracking Routine (BERSATU) application, such as the difficulty of technology adaption by employees, accustomed to manual method, limitations of internet access in some areas, and technical constraints on application as well as insufficient technical support. Therefore, the research aims to analyze sentiment of user review on “BERSATU” application, using various algorithm classification and modeling topic. A total of 600 user reviews had been collected and analyzed to know positive or negative sentiments. Of 600 reviews, 60.33% was positive and 39.67% was negative. Based on the evaluated five algorithms classification, SVM and Naïve Bayes were superior with accuracy above 97% with better F1-Score. Regression Logistics had 96% accuracy, but it had low recall. Random Forest had 94% accuracy with a better F1-Score, but low recall was received. KNN has 93% accuracy, but low recall was obtained. SVM and Naïve Bayes were the recommended for further analysis. Modeling of LDA topics generated three topics with dominant keywords. Topic 1, such as “application,” “bersatu," “data,” “sales,” and “results,” covered 44.5% of the documents. Topic 2, including “application,” “good,” “visit,” and “order,” was relevant at 29.5%. Topic 3, comprising of “application,” “assistance,” “easy,” “sell,” and “store,” was relevant 26.1% of the documents.
Co-Authors Anacostia Kowanda Ayub Prasetyo Firda Amalia Margianti E.S. Nopirin Nopirin Sugiharti Binastuti Trini Saptariani