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Analysis, Design and Implementation of a Digital Marketing Strategy for Ecommerce Sukandar, Bernhart Farras; Galinium, Maulahikmah; Mukadis, Panji
Journal of Applied Information, Communication and Technology Vol. 4 No. 1 (2017)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v4i1.80

Abstract

This paper is an Analysis, Design and Implementation of a Digital Marketing Strategy for eCommerce. Marketers are faced with new challenges and opportunities within this digital age. Digital marketing is the utilization of electronic media by the marketers to promote the products or services into the market. The main objective of digital marketing is attracting users and allowing them to interact with the brand through digital media. This article focuses on the importance of digital marketing for both marketers and consumers. We examine the effect of digital marketing on MerekIndonesia.com. This study has described multiple channels of digital marketing, effectiveness of it and the impact it has on MerekIndonesia.com visitor. The examined sample consists of six digital marketing channel to prove the effectiveness of digital marketing. Collected data has been analyzed with the help of various statistical tools and techniques.
Analysis of The User Experience of a Mobile Application System : A Case Study of Xyz Firstama, Panjinagara Vandy; Galinium, Maulahikmah; Purnama, James
Journal of Applied Information, Communication and Technology Vol. 4 No. 2 (2017)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v4i2.84

Abstract

This research intention is to comparing user experience value of mobile applic ation using User experience(UX) result from new and old sys tem, then doing gap analysis to determine how much improvement of user experience in the new system compared to old system. By using User Experience Questionnaire (UEQ), this research is to evaluat e which aspect of mobile application is looked for by its u ser. Survey is conducted to 60 people to answer what experience they have on old application, new application and user expectation for application and compare them. The result shows that there s mu ch improvement from old application to new application, and for expectation user towards new and old application, the gap between new app to expectation become closer if compare with old app to expectation
Developing Food Sensory Analysis Information System using Waterfall Software Engineering Model Oliver, Stefanus; Marpaung, Abdullah Muzi; Galinium, Maulahikmah
Journal of Applied Information, Communication and Technology Vol. 4 No. 2 (2017)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v4i2.85

Abstract

Food sensory analysis is the terms from the field of Food Technology that has a meaning which means sensory evaluation of food that is conducted by the food sensory evaluators. Currently, food sensory analysis is conductedmanually. It can caus e human errors and consume much ti me. The objective of this research is to build a web based application that is specific for food sensory analysis using PHP programming language. This research followsfour first steps of waterfall software engineering mod el which are user requirements ana lysis (user software and requirements analysis), system design (activity, use cases, architecture, and entity relationship diagram),implementation (software development), and testing (software unit, functionality, validit y, and user acceptance testing). T he software result is well built. It is also acceptable for users and all functionality features can run well after going through those four software testing. The existence of the software brings easiness to deal with the manual food sensory analysis exper iment. It is considered also for the future it has business value by having open source and premium features.
The Decision Support System for Product Purchasing Kafin, Kafin; Galinium, Maulahikmah; Erwin, Alva
Journal of Applied Information, Communication and Technology Vol. 2 No. 1 (2015)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v2i1.86

Abstract

In the development of the technology, the variety of notebook has become diverse. It can be differed by its rice, model, type, and functionality, such as weight, screen size, processor, hard disk, memory (RAM), and graphic card. All of that diversity has become the consideration by the one who looking for a notebook. There has a problem where the buyer is so confused in deciding which notebook that is suitable with their needs. Decision support system is considered as one of the solutions to handle that kind of problem. Fuzzy Tahani Algorithm that uses the relative and qualitative natural language as the user input criteria is believed to be able to help the notebook buyer in making the decision. The result is shown that the decision support system for purchasing multi criteria product such as notebook, based on the user input criteria with the Fuzzy Tahani algorithm, is able to help the user to get the alternative product that can be recommended to them.
Multi Modal Gender Recognition for Gender-Based Marketing Using Depth Camera Setyonugroho, Adityo; Purnama, James; Galinium, Maulahikmah
Journal of Applied Information, Communication and Technology Vol. 2 No. 2 (2015)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v2i2.87

Abstract

This research is conducted to prove that gender recognition by computer which can be done in real time by using depth camera. Gender recognition can be used on many industries, such as security, marketing, and other sectors. The purpose of this research is to detect gender by using images of user (RGB image) and voice. Furthermore, gender-based marketing is used for the implementation of this system. By using multi modalities, the result is more accurate than only using one factor. Image processing algorithm is used on processing facial image, which is Linear Discriminant Analysis (LDA) algorithm. Furthermore, gender can also be detected by special frequency of each gender speech. Autocorrelation is one of the methods that is able to detect pitch from detected audio. Kinect for Windows v2 was carried out as visual and audio sensor. This research proved that gender can be detected by using those modalities with right algorithm. Several problems are also found during the experiments, such as input data problem, not matching algorithm, and small percentage of accuracy. In conclusion, detecting gender can be done by computer (real time or not) and several ideal conditions must be made to get proper and high accuracy result, such as person distances from camera, lighting, image size.
Study on Social Media Users and Its Relation to the e-Commerce Activities on Youth in Indonesia Irawan, Krisma Budianto; Ipung, Heru Purnomo; Galinium, Maulahikmah
Journal of Applied Information, Communication and Technology Vol. 3 No. 1 (2016)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v3i1.92

Abstract

Internet, Social Media and e-Commerce are three most common thingspeople could find and usually interact with nowadays. Internet has beenpart of our basic daily needs: no one can work professionally withoutbeing connected to the network even once in a day. Those people usuallyalso have at least one Social Media accounts; as well know about theexistence of e-Commerce markets. Also, Social Media and e-CommerceChannel nowadays more likely to interact with each other: peoplespreading the word about their commerce in the Social Networks. Basedon that fact, this research purpose is to find out which factors, based onthe Technology Acceptance Model, is playing the huge role on this socalled relations between the interaction of people in the Social Media andtheir activities in the e-Commerce, especially on Indonesian youth. Itturns out, that Voluntariness has 55% contribution towards this relations,as well as Job Relevance, Result Demonstrability and Computer SelfEfficacy with 63%, 60% and 58% contributions respectively.
Bildbox! – Virtual Photo Booth that implements Augmented Reality Leeson, Marchelno; Purnama, James; Galinium, Maulahikmah
Journal of Applied Information, Communication and Technology Vol. 7 No. 1 (2020)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/jaict.v7i1.104

Abstract

The purpose of this research is to develop a self-service photo booth that implements augmented reality which is named as BildBox! where it allows the user of this product to try on different costumes virtually. There will be discussion on the Business Analysis that is conducted in this research to know the potential of the product as well as discussing the features that are implemented in the product. The development of the product’s software will be using Unity game engine and the depth image is taken by using Microsoft’s Kinect v2 depth camera. Aside from the discussions mentioned above, there will be also charts shown from the results of the surveys conducted. In the end, there will be a conclusion drawn from the survey results.
Development of an on-Premise Indonesian Handwriting Recognition Backend System Using Open Source Deep Learning Solution For Mobile User Masasi, Gianino; Purnama, James; Galinium, Maulahikmah
Journal of Applied Information, Communication and Technology Vol. 7 No. 2 (2020)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/jaict.v7i2.109

Abstract

Existing handwriting recognition solution on mobile app provides off premise service which means the handwriting is processed in overseas servers. Data sent to abroad servers are not under our control and could be possibly mishandled or misused. As recognizing handwriting is a complex problem, deep learning is needed. This research has the objective of developing an on premise Indonesian handwriting recognition using open source deep learning solution. Comparison of various deep learning solution to be used in the development are done. The deep learning solution will be used to build architectures. Various database format are also compared to decide which format is suitable to gather Indonesian handwriting database. The gathered Indonesian handwriting database and built architectures are used for experiments which consists of number of Convolutional Neural Network (CNN) layers, rotation and noise data augmentation, and Gated Recurrent Unit (GRU) vs Long Short Term Memory (LSTM). Experiment results shows that rotation data augmentation is the parameter to be change to improve word accuracy and Character Error Rate (CER). The improvement is 64.8% and 23.2% to 69.6% and 20.6% respectively.
Development of Mobile Sales Force System for an Automotive Aftermarket Company Michelle, Nastassja; Galinium, Maulahikmah; Eng, Kho I
Journal of Applied Information, Communication and Technology Vol. 7 No. 1 (2020)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/jaict.v7i1.112

Abstract

The aftermarket automotive company has a set of documents that is called Customer Information Folder (CIF). The CIF is used by the salesmen to record every activity, observation and sales made with their customers. Currently, the CIF is a pile of papers, in which paper misplacement can occur and data can be mixed up, and salesmen must return to the office at the end of the day to write down what they have done. The objective of this research is to create a mobile sales force system with a web application back-end that can help the company handle customer data and the system can also assist in managing others such as sales, orders, stocks and commissions. Based on request from the company, an ERP system is planned to be developed, starting from customer data (CIF / SFA), orders, stocks and commissions, which are developed for this research. The result of this research shows that the new system can help provide and manage data relating to customers, orders, stocks and commissions. Secondly, the new system can reduce paper usage by half through the simulation. Thirdly, the new system can provide organized, accurate and trustworthy data. Fourthly, the new system can help the Sales Department and company owner in determining sales trends and buying trends. Lastly, the new system is shown to have fulfilled user expectation as there are positive gaps between expectation and perception.
Analysis of Open-Source Solution for Point of Sales Inventory Management System Marico, Joxel; Purnama, James; Galinium, Maulahikmah
Conference Series Vol. 3 No. 2 (2021): International Conference on Global Innovation and Trends in Economy 2021
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v3i2.610

Abstract

Package other popular food distributor businesses. To gain advantage, they used newest Point of Sales (POS) for their business. POS allows user mood to do transaction between buyer and cashier, manage stock, etc. Unfortunately after several months, their business closed down, because the newest POS is not designed for their food distributor. ,The purpose of this research is to understand how POS would affect the business and why POS is valuable and important for business. The goal of this research is to find out which POS is suitable for both small and large business. There are four open-source POS to be analyzed, which are Odoo, E-hopper, Loyverse and Aronium. fOr Comparing Open Source software Evaluation Methods (FOCOSEM) is used to compare their features. In conclusion, only one shop. If the business owner wants to open another shop at different location but he/ she wants to keep track another shop, E-hopper or Loyverse is recommended. If the business owner wants to use mobile devices for easy setup, Loyverse is recommended. If the business owner prefers using PC, then E-hopper is recommended. For business owner who is conducting export and import then Odoo is recommended.