Admin Website UNIKOM

Tag: Garuda

  • The Strategic Role of Smart City (Bandung Care) in the Development of Bandung City

    The Strategic Role of Smart City (Bandung Care) in the Development of Bandung City

    Authors: Dedi Sulistiyo Soegoto, Yulia Pangestika

    Abstract

    The aim of this study is to create a smart city application in order to improve the quality of citizens life and strengthen a growth reputation as a technology city in Indonesia. It also helps to integrate all infrastructure and services from the government to the community using information technology services. This research used a qualitative data collection technique, observation, and literature review methods. The research results are to achieve the city assets governance by utilizing information of technology. Other benefits that can be received in Bandung Care application is a breakthrough information in technology to provide ease of service for Bandung community in various activities, such as for household, health, business, education, and other needs. The Smart City concept could sustain the agenda of cities as an encouragement for another city to improve their city management. © School of Engineering, Taylor’s University

    Author keywords

    Application bandung care; Integrate infrastructure; Services

    This article can be accessed at https://www.scopus.com/pages/publications/85100984712

  • Data Visualization for Content Marketing Domain in Social Media

    Data Visualization for Content Marketing Domain in Social Media

    Authors: Dian Dharmayanti, Adam Mukharil Bachtiar, Firman Nizammudin Fakhrul

    Abstract

    The purpose of this research is to determine the proper data visualization on the domain of content marketing in social media. Based on interviews with marketers, they need a lot of time to read information from social media data to create content marketing strategy. It occurs due to inappropriate forms of data visualization, so that the data must be analysed again to get the desired information. To overcome this problem, further analysis is needed to know what kind of data visualization is suitable in the domain of content marketing on social media. The research method consisted of nine steps and used techniques such as empathy map, statistics, data mining, data visualization technique, acceptance testing, and usability testing to generate proper data visualization. To know if the data visualization is correct, acceptance testing was carried out on data visualization and usability testing on the prototype. Acceptance testing results indicated that 100% of the designed visualization forms are accepted. In addition, the results of usability testing on the prototype showed that effectiveness and efficiency reach 100%. From these results, it was concluded that visualization of data in the domain of content marketing on social media is made correctly. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Content marketing; Data mining; Data visualization; Social media; Statistics

    This article can be accessed at https://www.scopus.com/pages/publications/85101642895

  • Design and Implementation of Electronic Examination Device for Improving the Blind Students’ Comfort

    Design and Implementation of Electronic Examination Device for Improving the Blind Students’ Comfort

    Authors: Hidayat H, Nanra S. Hasibuan, Mochamad F. Wicaksono

    Abstract

    The aim of the research is to design and implement an electronic examination device for helping students while conducting school examinations. The method used is an experimental method including literature study, process design, design implementation, and test the design. The system designed consists of two parts, namely a device for blind students and the exam monitoring application. The student device used Raspberry Pi as a data processor, six push-buttons as braille codes, and five push-buttons as navigation buttons. It is also equipped with a text-to-speech conversion application. The examination monitoring application is functioned to process the registration of the examinees, to process the exam questions, and to record the exam results of the examinees. The results of this research were the examination device and exam monitoring application can function properly. This result can have the effect of improving students’ comfort in taking school exams. © 2021 School of Engineering.

    Author keywords

    Blind student; Examination device; Raspberry Pi; Text to speech

    This article can be accessed at https://www.scopus.com/pages/publications/85102208191

  • Evaluation of Enterprise Architecture Implementation: A Critical Success Factors

    Evaluation of Enterprise Architecture Implementation: A Critical Success Factors

    Authors: Diana Effendi, Beri Noviansyah, Lena Lestary

    Abstract

    This paper provides a review of Critical Success Factors (CSF) to support the evaluation of the implementation of enterprise architecture. To produce appropriate critical success factors, a literature review was conducted from several previous researches. The method used in this paper follows the flow of the Systematic Literature Review (SLR). This paper produces an understanding of the organization regarding Critical Success Factors (CSF) for the evaluation of enterprise architecture implementation. These factors are communication, organizational learning, management commitment, governance, goals, benefits, and scope. Communication and organizational culture are the most important things in evaluating Enterprise Architecture (EA) implementation with a percentage of 60% of paper studied. The results obtained from this discussion can be used by researches or practitioners as a consideration in evaluating enterprise architecture implementation. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    CSF; Enterprise architecture; Evaluation

    This article can be accessed at https://www.scopus.com/pages/publications/85104119626

  • Inventory Control Cost Reduction for Infusion Using Material Requirement Planning Based on Lot Sizing

    Inventory Control Cost Reduction for Infusion Using Material Requirement Planning Based on Lot Sizing

    Authors: Diana Andriani, Hendry Hardianto, Nugraha

    Abstract

    The purpose of this study is to minimize raw materials’ inventory control cost due to the excess of raw materials from Normal Saline 100 mL and Ringer Lactate 500 mL infusion. The method used in this research were six lot sizing methods such as Fixed Order Quantity, Fixed Period Requirement, Least Unit Cost, Least Total Cost, Part Period Balancing, and Silver Meal Algorithm. The results showed that the Normal Saline 100 mL infusion product used the Least Unit Cost (LUC) method and resulted in the lowest cost with two order periods. The use of LUC method saves a total of IDR 3,425,000. For the Ringer Lactate 500 mL infusion product, it is proven that the LTC and PPB methods produced the least cost. Orders with the LTC and PPB methods are made after two order periods for Sodium Chloride and Calcium Chloride Dihydrate raw materials, four order periods for Sodium Lactate, and five order periods for Potassium Chloride. The savings made using the TLC and PBB methods amounted to IDR 29,675,000. © School of Engineering, Taylor’s University

    Author keywords

    Inventory control costs; Lot sizing; Material requirement planning

    This article can be accessed at https://www.scopus.com/pages/publications/85105040811

  • Implementation of Fuzzy Tsukamoto in Production Planning Decision Support Systems

    Implementation of Fuzzy Tsukamoto in Production Planning Decision Support Systems

    Authors: Riani Lubis, Sri Nurhayati

    Abstract

    The purpose of this research is to implement Fuzzy Tsukamoto in designing production planning decision support systems. Determining the production quantity is one of the important activities in production planning. The production quantity affects the determination of raw material requirements and production costs. Therefore, it is very important to determine the right production quantities. It avoids the accumulation of raw material on the production floor and large production cost. In this research, production planning decision support systems provide recommendation on production quantities. It can be used as a reference for production manager to determine the production quantity for the next production period. Fuzzy Tsukamoto was a method used in this study to determine the production quantities. The result of this research is the production planning decision support system model that applied the Fuzzy Tsukamoto method. Implementation of Fuzzy Tsukamoto can provide a recommendation of production quantities that is used to determine the production quantities and making production schedule. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Determination; Production amount; Recommendation

    This article can be accessed at https://www.scopus.com/pages/publications/85138270360

  • Elman Recurrent Neural Network for Aspect Based Sentiment Analysis

    Elman Recurrent Neural Network for Aspect Based Sentiment Analysis

    Authors: Nelly Indriani Widiastuti, Maulvi Inayat Ali

    Abstract

    Aspect based sentiment analysis (ABSA) is one of the domains of opinion mining cases which aims to detect the polarity of written text based on certain aspects. The purpose of this study was to determine the accuracy value of Elman RNN in the case of ABSA. The method used is divided into two main processes, namely pre-process and sentiment detection. Before conducting the training, the input data in the form of restaurant reviews in Indonesian went through the preprocessing process. In the data review, case folding, filtering, word normalization, tokenization, stop word removal, the addition of token aspects (price, taste, atmosphere) was carried out, building a word dictionary, and forming one-hot encoding. In the polarity detection process, training and testing use the ERNN algorithm. The data used were 1584 sentences of Indonesian restaurant reviews and were tested on 422 data. Based on the test results, Elman RNN got the best accuracy of 81.22% and an f1 score of 82.78%. For the social analytic system developer, these results show evidence that the ERNN is promising to be used in detecting the polarity of a restaurant review. © School of Engineering, Taylor’s University

    Author keywords

    Aspect based sentiment analysis; Indonesian language; Preprocessing; Recurrent neural network; Semantic evaluation

    This article can be accessed at https://www.scopus.com/pages/publications/85108833617

  • Development of UX Orbit Design Online Courses Platform in the field of User Interface (UI) and User Experience (UX)

    Development of UX Orbit Design Online Courses Platform in the field of User Interface (UI) and User Experience (UX)

    Authors: Leonardi Paris Hasugian, Dalih Rusmana

    Abstract

    The purpose of this research is to provide a User Interface (UI) and User Experience (UX) learning solution for the community so that the distribution of good quality learning content can be properly and easily conveyed to the public. To achieve this goal, an online course platform that specifically focuses on the UI and UX fields which meets community’s preferences was created. It addresses problems such as issues in finding learning resources and mentors, as well as the lack of distribution of good quality learning content. This research used prototyping model from analysing the existing system until developing a prototype system. The created online course platform is expected to help people, both technophiles and non-technophiles to increase their knowledge and abilities, especially in the fields of UI and UX. © School of Engineering, Taylor’s University.

    Author keywords

    Course; Platform; User experience; User interface

    This article can be accessed at https://www.scopus.com/pages/publications/85109564413

  • Study of Hybrid Flood Forecasting Approach Combining Multiplicate Seasonal Arima and Hybrid-Neuro Fuzzy Based on Long-Term Time Series

    Study of Hybrid Flood Forecasting Approach Combining Multiplicate Seasonal Arima and Hybrid-Neuro Fuzzy Based on Long-Term Time Series

    Authors: Sri Supatmi, Irfan Dwiguna Sumitra, Rongtao Hou

    Abstract

    This research proposes a modern hybrid method to forecast the flood employing an approach combining Multiplicative Seasonal Autoregressive Moving Average (MSARIMA) and Hybrid-Neuro Fuzzy Inference System (HN-FIS) based on long-term time series. This proposed method is called Hybrid Flood Forecasting System Technology (Hybrid-FFST). This research aims to improve three previous types of research on flood forecasts, such as flood prediction using HNFIS and flood forecasting using MSARIMA and rainfall prediction using Multiplicative Seasonal Autoregressive Moving Average Subsequence Aggregate (MSARIMASA). This research has taken place in Bandung West Java Province, Indonesia. The performance of flood event forecasting improving by using the hybrid approaches method using both MSARIMA and two levels of HN-FIS. This proposed method employs six parameters: rainfall, temperature, population density, large watershed, the altitude of the area, and slop of the land to predict the flood event. The performance of this method is generated and fitting well using the Hybrid-FFST approach and the verified by Mean Absolute Percentage Error (MAPE), Root Means Square Percentage Error (RMSPE), and Mean Forecast Error (MFE) to identify the best-fitted model of the proposed model. The proposed model’s performance is compared using MAPE, RMSPE, and MFE with MSARIMA, HN-FIS, and MSARIMASA model. The confidence performance of the proposed method obtains more significant than 97% according to the MAPE, RMSE, and MFE values. The proposed model results indicate better performance than the MSARIMA, HN-FIS, and MSARIMASA models to forecast the flood event. The impact of this research is the flood can be predicted before occurred in someplace. © School of Engineering, Taylor’s University.

    Author keywords

    Flood; Flood forecasting system; Hybrid approach; Prediction

    This article can be accessed at https://www.scopus.com/pages/publications/85111844671

  • Wind Load on Temporary Air Rib Inflated Pneumatic Building Structure

    Wind Load on Temporary Air Rib Inflated Pneumatic Building Structure

    Author: Salmon Priaji Martana

    Abstract

    This study aims to provide an example of calculating the wind load in an air rib inflated structure. The method used was an architectural simulation in which building criteria were created and then realized in a CAD-generated iconic model. The building is divided into several segments, analysed mathematically using a calculation method adapted from conventional rigid structure calculations. The lift and drag force results obtained in this study can be used to determine how the air-inflated rib structure builds up against these forces so that each rib element remains anchored on the ground when facing the external forces. To tackle the lift up force is then the next issue of finding the correct foundation in a specific surface material to bind the structure to the ground. This study’s calculation model is expected to open the possibilities to develop safer air rib inflated structure application to stand the strong wind. © School of Engineering, Taylor’s University

    Author keywords

    Air inflated structure; Air rib structure; Pneumatic architecture; Pneumatic structure

    This article can be accessed at https://www.scopus.com/pages/publications/85111182516