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  • Smart Cluster Housing Monitoring with ESP32, ESP-Mesh and Django

    Smart Cluster Housing Monitoring with ESP32, ESP-Mesh and Django

    Authors: Mochamad Fajar Wicaksono, Myrna Dwi Rahmatya

    DOI: 10.36909/jer.ASSEEE.16099

    Abstract

    The purpose of this study is to create a monitoring system for cluster housing. The method used in this research was experimental. Monitoring carried out in this system was installed and tested on ten houses. This system used an ESP-MESH for communication between ESP32 boards in residential areas. The process of sending data to the online server used two ESP32 boards that function as a mesh server and a gateway for data transmission. The data sent is in the form of data from ultrasonic sensors, PIR1 and PIR2 sensors, Flame sensors, Gas sensors, and Photos. The photo result was taking by ESP32CAM when the system detects an intruder. When something bad happens, such as fire detection, intruders, and gas leaks, residents will receive text and image notifications through the LINE application. The head of security will also get notifications via the web application. The web application is built using the Django framework. The results of this study are a monitoring system for cluster housing using ESP32, ESP-MESH, and Django. Based on the test results, this system has been running well by the initial objectives. © 2021 University of Kuwait. All rights reserved.

    Author keywords

    Cluster Housing; Django; ESP32; Line; Mesh Protocol; Monitoring

    This article can be accessed at https://www.scopus.com/pages/publications/85123608831

  • Optimal Path Planning using Informed Probabilistic Road Map Algorithm

    Optimal Path Planning using Informed Probabilistic Road Map Algorithm

    Author: Muhammad Aria

    DOI: 10.36909/jer.ASSEEE.16105

    Abstract

    This study aims to propose a new path planning algorithm that can guarantee the optimal path solution. The method used is to hybridize the Probabilistic Road Map (PRM) algorithm with the Information Search Algorithm. This hybridization algorithm is called the Informed-PRM algorithm. There are two informed search methods used. The first method is the informed sampling through an ellipsoid subset whose eccentricity is dependent on the length of the shortest current solution that is successfully planned in that iteration. The second method is to use a local search algorithm. The basic PRM algorithm will be run in the first iteration. Since the second iteration, the generation of sample points in the PRM algorithm will be carried out based on information. The informed sampling method will be used to generate 50% of the sampling points. Meanwhile, the remaining number of sample points will be generated using a local search algorithm. Using several benchmark cases, we compared the performance of the Informed-PRM algorithm with the Rapidly Exploring Random Tree* (RRT*) and informed RRT* algorithm. The test results show that the Informed-PRM algorithm successfully constructs the nearly optimal path for all given cases. In producing the path, the time and path cost of the Informed-PRM algorithm is better than the RRT* and Informed RRT* algorithm. The Friedman test was then performed to check for the significant difference in performance between Informed-PRM with RRT* and Informed RRT*. Thus, the Informed-PRM algorithm can be implemented in various systems that require an optimal path planning algorithm, such as in the case of medical robotic surgery or autonomous vehicle systems. © 2021 University of Kuwait. All rights reserved.

    This article can be accessed at https://www.scopus.com/pages/publications/85123706614

  • 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