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All Journal CommIT (Communication & Information Technology) Prosiding SNATIF Journal of Management and Business Review ComTech: Computer, Mathematics and Engineering Applications SENSITEK International Journal for Applied Information Management Journal of Digital Market and Digital Currency
Riswan Efendi Tarigan
Universitas Pelita Harapan
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Mathematics Social Sciences

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Web-Based Implementation of E-Marketing to Support Product Marketing of Chemical Manufacturing Company Riswan Efendi Tarigan; Kartika Sari Dewi
CommIT (Communication and Information Technology) Journal Vol. 9 No. 2 (2015): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v9i2.1650

Abstract

Currently, many company’s marketing strategies are limited only to face-to-face communication, telephone, facsimile, company portfolio, and product brochures. However, those marketing strategies are well- known to have limited impacts. Therefore, the presence of e-marketing as one of the marketing strategies would be appropriate to cover the weaknesses and to solve a number of the marketing problems. The purpose of this study is to discuss matters related to marketing, such    as, proposing a marketing plan using website, expanding marketing segment, and introducing existing  products for a chemical manufacturing company. The adopted research method is a descriptive method where the study is directly performed on the research object to acquire necessary data. The collected data are further analyzed using the Porter’s Five Force and SWOT analysis. Fi- nally, the work provides a number of recommendations for implementing e-marketing strategies to support the company business.
A Study of Customer Satisfaction on Online Trading System Application of Securities Company in Indonesia Using Servqual Hery Hery; Riswan Efendi Tarigan
CommIT (Communication and Information Technology) Journal Vol. 9 No. 1 (2015): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v9i1.1651

Abstract

The purpose of this study is to measure the service  quality of online trading system implemented by PT  KDB  Daewoo  Securities  Indonesia.  The study is  a part of the company  efforts to provide  the best solution  services. The study  is performed   to determine the influence of service quality  factors on the customer satisfaction by means of ServQual  method. The method takes  into account  five  independent  variables,  namely, reliability (X1 ),  responsiveness  (X2 ),  assurance  (X3 ), empathy (X4 ), and tangibility (X5 ). Meanwhile,  the cus- tomer satisfaction is considered as the dependent variable (Y ). The population of of the study  is all 67 900 online traders at the company and the sample size is 265 traders. The data are collected via questionnaires and interviews. From the study results, we conclude that the five variables have  significant  influence  on the customer  satisfaction on the online trading system application   at PT KDB Daewoo Securities Indonesia. To  improve  the customer satisfaction, the company  should prioritize the quality- related factors,  and expand  and upgrade  the existing facilities and infrastructures.
The Effect of Social Media to the Brand Awareness of a Product of a Company Hansel Bagus Tritama; Riswan Efendi Tarigan
CommIT (Communication and Information Technology) Journal Vol. 10 No. 1 (2016): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1667

Abstract

Social  media  is an online media, where the users can easily participate, share, and create any content such as banner,  posters, videos and advertisement.  Many companies  use these  social  media as  a tool to promote their products  and make  customers aware  with their brand. On the other hand, not all companies  succeed to market their products and make their products are at their customers’ awareness. The purpose of this research is to find the correlation  between social media commu- nication marketing  with companys brand awareness in social media.  The research  method for this research  is quantitative  research.  This method collects  data with explanative research type which explains the relationship between two variables. The result  of this research  is to show that marketing  communication in a company has an impact to company’s brand awareness. In addition, this research wants to show that marketing via social media can give impact  to company’s revenue. The summary of this research  is to get significant  information  about the effect of social media toward companys brand awareness through quantitative  and explanative  research  method due to the rising of social media.
The Effects of E-Tourism to The Development of Tourism Sector in Indonesia Claresta Janice Jonathan; Riswan Tarigan
CommIT (Communication and Information Technology) Journal Vol. 10 No. 2 (2016): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i2.1669

Abstract

Indonesia is a nation that ethnically and culturally unique and diverse. It has potentials to leverage the growth of its tourism sector. The sector has become important to boost not only regional and also  nation- wide economic development. It can be growth further to a much larger scale by effectively utilising the pervasiveness of the information and communication technology (ICT). For example, ICT may facilitate the growth with e- tourism, which is an Internet-based marketing method. This work intends to understand the potential of using e-tourism and its effects on the development of  the  sector. Specifically, the study evaluates how the aspects  of marketing, business, and e-tourism are affected by the use of ICT and how they affect the growth of the tourism industry. A multivariate regression model is constructed to assess the case quantitatively. The empirical model suggests that the e-tourism may contribute the growth of the tourism sector by about 40%.
KARAKTERISTIK DESAIN SOCIAL COMMERCE TERHADAP KEPUASAN PELANGGAN Cadelina Cassandra; Ratna Sari; Riswan Efendi Tarigan
Journal of Management and Business Review Vol 13, No 1 (2016)
Publisher : Research Center and Case Clearing House PPM School of Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34149/jmbr.v13i1.30

Abstract

Social commerce sedang menjadi tren bagi perusahaan online saat ini. Perkembangan Social Networking Site dan web 2.0 mendukung evolusi dari e-commerce dan membuka peluang baru bagi perusahaan untuk masuk ke dalam pasar baru. Perubahan pola perilaku pengguna internet dari yang kaku menjadi aktif dan komunikatif membuat social commerce diyakini dapat memberikan keuntungan bagi perusahaan online namun ternyata tidak semua perusahaan berhasil menerapkan social commerce dan menarik pelanggan, tidak sebanding dengan biaya yang telah dikeluarkan. Penelitian ini bertujuan untuk mempelajari apa yang mendasari kepuasan pelanggan dalam melakukan proses pembelanjaan secara online melalui social commerce dan menguji apakah benar karakteristik sebuah social commerce memang cocok untuk mendukung kepuasan pengguna dalam berbelanja sehingga didapatkan rekomendasi yang tepat bagi pebisnis baru yang ingin mengadopsi social commerce ke depannya mengingat tren media sosial semakin berkembang di masyarakat. Metode penelitian dalam penelitian ini adalah metode kuantitatif dan studi literatur terkait dengan isu yang dibahas. Hasil yang didapatkan adalah ternyata faktor kualitas informasi yang paling berpengaruh terhadap kepuasan pelanggan jika dibandingkan faktor karakteristik social commerce lainnya.
Peranan Sistem Informasi dengan Online Trading terhadap Pertumbuhan Pasar Modal di Indonesia Riswan Efendi Tarigan
ComTech: Computer, Mathematics and Engineering Applications Vol. 4 No. 2 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i2.2517

Abstract

Capital Markets is part of the financial market, which is related to the supply and demand of the need for long-term funding. Capital Markets was formed and developed with aims to support the implementation of national development in order to improve the distribution, growth, and stability of the national economy towards the improvement of society welfare. However, so far the capital market in Indonesia is still around 0.5% of the total population which is too small compared to capital markets in other advanced countries. One solution for increasing community involvement in the capital market, despite educating in smart and sustainable way, is developing and implementing efficient information systems, so that made it easier for market participants to undertake investment activities. This paper examines how and to what extent the role of information system enhances the capital market in Indonesia, which aims to plan the subsequent strategic step so that the development of Indonesia’s capital market is able to compete in globalmarket.
Anime Segmentation Based on User Preferences: Applying Clustering to Identify Groups of Anime with Similar Genres, Themes, and Popularity Tarigan, Riswan E; Wijaya, Yoana Sonia
International Journal for Applied Information Management Vol. 5 No. 1 (2025): Regular Issue: April 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i1.99

Abstract

The anime industry has experienced significant growth, with an increasing focus on user preferences for content discovery and engagement. This study applies clustering techniques, specifically K-means, to segment anime based on user preferences, genres, themes, and popularity. By analyzing a comprehensive dataset containing attributes such as user ratings, popularity, genres, and themes, the research identifies distinct groups of anime that align with varying viewer tastes. The clustering results reveal that anime can be categorized into several groups, including highly popular but critically less-acclaimed titles, well-regarded but moderately popular anime, and niche, critically acclaimed series that appeal to smaller but dedicated audiences. This segmentation allows streaming platforms to offer more personalized recommendations, enhancing user experience and engagement by matching viewers with content that best fits their preferences. Although clustering techniques provide valuable insights into anime content, the study acknowledges certain limitations, such as overlap between clusters, indicating that some anime may not fit perfectly into a single category. This highlights the need for further improvements in segmentation accuracy. The study suggests exploring hybrid clustering methods, combining K-means with other techniques, and integrating demographic data, such as age, gender, and geographic location, to refine recommendations. Overall, the application of clustering algorithms to better understand user preferences in anime offers a promising approach to developing more effective and personalized recommendation systems. This can ultimately improve user satisfaction and engagement in the rapidly growing and competitive anime streaming market.
Market Regime Detection in Bitcoin Time Series Using K-Means Clustering and Hidden Markov Models Haryani, Calandra A.; Chandra; Tarigan, Riswan Efendi
Journal of Digital Market and Digital Currency Vol. 3 No. 1 (2026): Regular Issue March 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v3i1.57

Abstract

The rapid growth of cryptocurrency markets has created new challenges in understanding and predicting the structural dynamics of digital asset prices. Bitcoin, as the most traded blockchain-based currency, exhibits extreme volatility, nonlinear patterns, and complex regime shifts that traditional financial models cannot adequately capture. This study proposes a hybrid analytical framework that integrates K Means clustering with the Hidden Markov Model to identify and model multiple market regimes in Bitcoin time series data. The Bitcoin dataset used in this research contains minute-level records that were preprocessed to extract key indicators, namely logarithmic returns and rolling volatility, which represent the short-term dynamics of market behavior. The K Means algorithm was first employed to segment the data into three distinct clusters that correspond to bullish, bearish, and sideways regimes, followed by the application of the Hidden Markov Model to estimate probabilistic transitions between these regimes over time. The results reveal that the hybrid K Means and Hidden Markov Model approach achieves superior performance compared to a standalone model, as indicated by a higher log likelihood and a lower Bayesian Information Criterion value. The transition probability matrix shows that bullish and bearish regimes are highly persistent, while the sideways regime acts as a transitional buffer that connects both market extremes. The empirical findings confirm that Bitcoin prices evolve through persistent and probabilistically determined regimes rather than random fluctuations. The proposed framework provides a more comprehensive understanding of cryptocurrency market dynamics and offers practical value for investors, risk analysts, and policymakers in designing adaptive trading and risk management strategies within blockchain-based financial ecosystems.
Co-Authors Anak Agung Gede Sugianthara Andree Wijaya Cadelina Cassandra Chandra Claresta Janice Jonathan Dennis Adrian Dennis Adrian, Dennis Hansel Bagus Tritama Haryani, Calandra A. Hery Hery Hery Hery Kartika Sari Dewi Kevin Christianto RATNA SARI Rizky Aemelia Safira Aqista Sugiarto, Arnon M Tritama, Hansel Bagus Widjaja, Andree E. Wijaya, Yoana Sonia