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All Journal Aptisi Transactions on Management Jurnal Bina Manajemen
Felix Sutisna
Universitas Multimedia Nusantara
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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The Theory of Planned Behavior Influences Online Shopping Behavior Felix Sutisna; Tessa Handra
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1691

Abstract

Nowdays many factors influence shopper interested in buying merchandise through e-business, such as promotions made by e-business companies, speed and less time, fast payment transactions and low cost, and marketing mix. Most shopper utilize e-business to shop for food products, electronics, logistic (such as gojek/grab/uber, travel) and others. The application of e-business can not be separated from the expertise and knowledge of the public in using the internet and computer systems. However, Indonesian people's awareness of e-business is still low, many people do not know how to utilize it. This is due to low internet infrastructure factors, poor telecommunication facilities. This is still a barrier to the interest of the people of Indonesia to testify online. In addition, shopper confidence and trust in the security of e-business can affect someone to shop online. In explaining the factors that impact on shopper conduct to utilize e-business utilized theory of planned behavior approach. The theory of Planned Behavior (TPB) has supported the prediction of many different conducts of people. TPB shows that determining conduct is one's purpose. This study aims to analyze the impact of perceived behavioral control, subjective norm, and attitude, on purpose to shop online and its impact on online shopping behavior. Exogenous variable research is perceived behavioral control, subjective norm, and attitude. The variables of endogenous research are intended to shop online and online shopping behavior. The research sample of 100 respondents was shopper who shopped in e-business X. Data collection method using questionnaires. Data analysis method using SEM PLS.
SIMULASI PENJADWALAN KEGIATAN PEMELIHARAAN MESIN PEMBANGKIT LISTRIK TENAGA DIESEL PADA PT PLN (PERSERO) SUB RAYON MANGARAN Felix Sutisna; Chrisna Wati Makadadus
Jurnal Bina Manajemen Vol 7 No 2 (2019): Jurnal Bina Manajemen Vol.7 No.2 Maret 2019
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.112 KB)

Abstract

Maintenance is the activities to maintain on machines and plant facilities. Maintenance is good to maintain the useful life of the engine. Diesel engine that is used to supply electricity power to the customer needs to be done to maintain the quality KWH produced of maintenance activities and can be used in the long term. Monte Carlo simulation techniques are used to determine scheduling of engine maintenance can reduce the likelihood of unpredictable circumstances.
ANALISIS PERBANDINGAN TINGKAT KESALAHAN METODE PERAMALAN SEBAGAI UPAYA PERENCANAAN PENGELOLAAN PERSEDIAAN YANG OPTIMAL PADA PT DUTA INDAH SEJAHTERA Felix Sutisna; Hendy Hendy
Jurnal Bina Manajemen Vol 8 No 1 (2019): Jurnal Bina Manajemen Vol.8 No.1 September 2019
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.678 KB)

Abstract

In the manufacturing industry, production planning is very important. Sales forecasting data can be used as a basis for production planning. Good planning allows a company to take the opportunity to sell its products and also has the advantage of competing. In the end to help achieve an optimal decision required the existence of an appropriate management or management, systematic, and can be accounted for. One of the tools that management requires from the decision-making process is the forecasting method. Forecasting method is used to measure or assess the situation in the future. In this study, the authors do the forecasting on the sale of Tessy products Napkin and Non Core types. Forecasting method which author use in this research was Naïve Method, Single Exponential Smoothing, Double Exponential Smoothing, Triple Exponential Smoothing, and Trend Projection. The correct forecasting method for Tessy Napkin and Non Core products is Trend Projection, since Trend Projection has the smallest MAD, MSE, and MAPE levels.
PENGARUH SOCIAL IDENTITY, EWOM, PERCEIVED RISK, DAN TRUST TERHADAP PURCHASE INTENTION DAN DAMPAKNYA TERHADAP PURCHASE DECISION PADA E-COMMERCE Tessa Handra; Felix Sutisna
Jurnal Bina Manajemen Vol 9 No 2 (2021): Jurnal Bina Manajemen Vol 9 No.2 Maret 2021
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52859/jbm.v9i2.154

Abstract

This study was designed to test empirical truths between two or more research variables that have been formulated in the hypothesis. The research variables tused twere social identity, EWOM, perceived risk, trust, purchase intention, tand tpurchase decision. Exogenous variables in this study are social identity, EWOM, and perceived risk. Endogenous variables in this study are trust, purchase intention, and purchase decision. Methods of collecting data using questionnaires and data analysis methods using partial least square. The results of the study concluded that hypothesis 4 tand 5 was tnot significant. There was no effect of perceived risk on trust and there was no effect of perceived risk on purchase intention.
Co-Authors Chrisna Wati Makadadus Hendy Hendy Tessa Handra