Proceeding of the Electrical Engineering Computer Science and Informatics
Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.
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<![CDATA[An Overview of Knowledge Mapping in Digital Business Industry: A Systematic Literature Review ]]>
<![CDATA[Dana I. Sensuse]]>;
<![CDATA[Alifiannisa Lawami Diar]]>;
<![CDATA[Sofian Lusa]]>;
<![CDATA[Damayanti Elisabeth]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2067
<![CDATA[The increasing number of studies in the knowledge map shows attention from researchers in academic and professional areas. However, the knowledge map implementation has not effectively implemented in an organization whose business in the digital business industry, especially startup organization. The main reason is the lack of stakeholder's understanding of the knowledge map concept. Thus, this study gives a comprehensive understanding of knowledge map implementation in the digital business industry within the last five years period. The study will answer what problems knowledge map tackled, tools, and techniques used currently, the obstacles and benefits of using a knowledge map. The review was conducted through the structured systematic literature review procedure. It started with a review protocol declaration and ended with an analysis of the prior researches obtained from five credible sources. Only 25 of 775 studies remain after several filtering stages. It is found that a knowledge map is mostly used for decision-making purposes. Most studies adopted a visual knowledge map and concept map, even though it is difficult to align the knowledge depth. In the end, this study's result will help stakeholders to reflect on their existing knowledge relationship structure. This study also offers directions for future research and professional practices in digital business industry firms to perfect their existing organizational intellectual capital through a knowledge map.]]>
<![CDATA[Human Related Challenges in Agile Software Development of Government Outsourcing Project ]]>
<![CDATA[Amaliah Khoirun Nisyak]]>;
<![CDATA[Khairiyah Rizkiyah]]>;
<![CDATA[Teguh Raharjo]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2068
<![CDATA[In 2019, a government organization in Indonesia has developed several systems that will run in parallel using Agile by utilizing vendor services. Based on internal project reports, there are indications of human-related issues or challenges during the development process of these systems. The case study is one of the critical systems of failed projects in this government organization. In this study, a Systematic Literature Review (SLR) was used to identify human-related challenges or issues that could lead to failure in an ASD project. These issues or challenges were qualitatively validated based on expert judgment from external and internal organizations by interview and questionnaire. The final results of this study were 20 human-related challenges grouped into 5 categories, which were identified as human-related challenges that led to the failure of the ASD project in this case study. Proposed solutions based on best practices are also provided for each challenge or issue by conducting business research methods with open and axial coding. Besides, the comparison of views between vendors and organizations on human-related challenges as well as the implications of this study are also presented at the end, so that readers can get insight into these challenges.]]>
<![CDATA[Practical application of IOT and its implications on the existing software ]]>
<![CDATA[Israa Sadu]]>;
<![CDATA[Zahraa A. Jaaz]]>;
<![CDATA[Haider Hadi Abbas]]>;
<![CDATA[Haider Abdulshaheed]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2069
<![CDATA[The data management from end-to-end level is done by cloud-assisted IOT for its users and they keep a goal in increasing their number of users with the course of time. From saving the infiltration of data from both internal and external threats to the system, IOT is the best-proposed method used for securing the database. Connecting objects/individuals with the Internet via safe interaction is the main objective of IOT. It can assemble all the hardware devices that are designed to store data for an individual or an organization. The associated applications and the way in which it can be deployed in the present organization in order to optimize the current working system. This paper focuses on providing an overall systematic secured data sharing portal that is devoid of threats from internal as well as external entities. By using CIBPRE data encryption a major security reform is introduced by IOT in storing and sharing of data on a regular basis.]]>
<![CDATA[Deep Convolutional Architecture for Block-Based Classification of Small Pulmonary Nodules ]]>
<![CDATA[Ahmed Samy Ismaeil]]>;
<![CDATA[Mohammed A.-Megeed Salem]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2070
<![CDATA[A pulmonary nodule is a small round or oval-shaped growth in the lung. Pulmonary nodules are detected in Computed Tomography (CT) lung scans. Early and accurate detection of such nodules could help in successful diagnosis and treatment of lung cancer. In recent years, the demand for CT scans has increased substantially, thus increasing the workload on radiologists who need to spend hours reading through CT-scanned images. Computer-Aided Detection (CAD) systems are designed to assist radiologists in the reading process and thus making the screening more effective. Recently, applying deep learning to medical images has gained attraction due to its high potential. In this paper, inspired by the successful use of deep convolutional neural networks (DCNNs) in natural image recognition, we propose a detection system based on DCNNs which is able to detect pulmonary nodules in CT images. In addition, this system does not use image segmentation or post-classification false-positive reduction techniques which are commonly used in other detection systems. The system achieved an accuracy of 63.49% on the publicly available Lung Image Database Consortium (LIDC) dataset which contains 1018 thoracic CT scans with pulmonary nodules of different shapes and sizes.]]>
<![CDATA[Comparison of Maintainability Index Measurement from Microsoft Code Lens and Line of Code ]]>
<![CDATA[Gilang Heru Kencana]]>;
<![CDATA[Akuwan Saleh]]>;
<![CDATA[Haryadi Amran Darwito]]>;
<![CDATA[Rizki Rachmadi]]>;
<![CDATA[Elsa Mayang Sari]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2071
<![CDATA[Higher software quality demands are in line with software quality assurance that can be implemented in every step of the software development process. Maintainability Index is a calculation used to review the level of maintenance of the software. MI has a close relationship with software quality parameters based on Halstead Volume (HV), Cyclomatic Complexity McCabe (CC), and Line of Code (LOC). MI calculations can be carried out automatically with the help of a framework that has been introduced in the industrial world, such as Microsoft Visual Studio 2015 in the form of Code Matric Analysis and an additional software named Microsoft CodeLens Code Health Indicator. Previous research explained the close relationships between LOC and HV, and LOC and CC. New equations can be acquired to calculate the MI with the LOC approach. The LOC Parameter is physically shaped in a software program so that the developer can understand it easily and quickly. The aim of this research is to automate the MI calculation process based on the component classification method of modules in a rule-based C # program file. These rules are based on the error of MI calculations that occur from the platform, and the estimation of MI with LOC classification rules generates an error rate of less than 20% (19.75 %) of the data, both of which have the same accuracy.]]>
<![CDATA[Method Using IOT Low Earth Orbit Satellite to Monitor Forest Temperature in Indonesia ]]>
<![CDATA[Ariesta Satryoko]]>;
<![CDATA[Arthur Josias Simon]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2072
<![CDATA[The Purpose of this paper is to ensure the proper functioning of the Monitoring Forest Temperature program in Indonesia using the IoT Narrow-Band Low earth orbit Satellite. As a new technology for monitoring the temperature continue to expand, its implementation in developing countries particularly in Indonesia requires strategic guidance of how the whole process will be executed. Nevertheless, due to this, cross-sectoral partnership in technology, policy, budget, industry is essential to be addressed. The World Bank has recorded the loss from forest fire where 28 million people directly affected including 19 people who died and over 500 thousand people suffered from respiratory problems. Smokes from forest and land fires have also struck Malaysia, Singapore, and Brunei Darussalam respectively. To respond to this, the IoT ( Internet of Things ) now comes with an extensive feature, using the capability of satellite reach. The Narrow Band Low Earth Orbit Satellite has released a feature for IoT connect to Low Orbit Satellite and transmit the data from the sensor directly. Therefore, we argue that this technology is crucial and needs to be functioned immediately to monitor forest temperature in Indonesia.]]>
<![CDATA[KM Maturity for A Gas Company in Indonesia: G-KMMM Assessment and Improvement Recommendation ]]>
<![CDATA[Handoko Ramadhan]]>;
<![CDATA[Majesty Permana]]>;
<![CDATA[Dana I. Sensuse]]>;
<![CDATA[Sofian Lusa]]>;
<![CDATA[Damayanti Elisabeth]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2073
<![CDATA[Knowledge is an intellectual asset owned by each organization that greatly influences the performance of the organization. Knowledge management, tacit knowledge, and explicit knowledge in an organization become crucial for the organization's sustainability. The governance depends on many things such as organizational structure, human resources and culture, technology, and the company's vision and mission. In order to adjust between company objectives, it is necessary to know the KM maturity index in an organization. So based on the maturity index, the organization can prepare and adjust company conditions based on the target to be achieved. Knowledge Management (KM) has helped many companies or organizations in developing companies or their organizations, especially for the oil and gas industry. In this study, the authors used the G-KMMM method to conduct KM assessments and provide recommendations for increasing KM at an oil and gas company in Indonesia. From the KM assessment results using the G-KMMM method, it was found that KM in that company is at the awareness level. These results are obtained by considering aspects of people, processes, and technology.]]>
<![CDATA[Exploring Success Factor for Mobile based Smart Regency Service using TRUTAUT Model Approach ]]>
<![CDATA[Aang Kisnu Darmawan]]>;
<![CDATA[Daniel Siahaan]]>;
<![CDATA[Tony Dwi Susanto]]>;
<![CDATA[Hoiriyah Hoiriyah]]>;
<![CDATA[Busro Umam]]>;
<![CDATA[Anwari Anwari]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2074
<![CDATA[Currently, almost every country struggles to apply city management to the concept of intelligent cities. Several previous studies have modeled the success, maturity, and success of information systems to use smart city principles. However, there are significant differences between city and district definition in terms of governance frameworks, regional size, livelihood differences, population, socio-economic, and socio-cultural dimensions. Therefore, work on the Smart District IT assessment requires new and unique studies that can differ substantially from smart cities. This study aims to explore the determinants of the success of Smart Regency services with mobile technology. The model and approach are the TRUTAUT model, which combines the concepts for the TRI and the UTAUT model. Two hundred eighty-nine participants could collect data with a smart cellular district service system - data processing using the SmartPLS v.3.2.8 software. Recent findings indicate that the variables proposed in the TRUTAUT model are a positive and essential relation. This study helps to determine the success of the application of intelligent mobile regional services applications. This study confirms that policymakers pay more considerable attention to critical questions that affect the district's smart cellular services' success.]]>
<![CDATA[Intelligent Wheelchair Control System based on Finger Pose Recognition ]]>
<![CDATA[Iswahyudi Yudi]]>;
<![CDATA[Khairul Anam]]>;
<![CDATA[Azmi Saleh]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2075
<![CDATA[In the old day, wheelchairs are moved manually by using hand or with the assistance of someone else. Users of this wheelchair get tired quickly if they have to walk long distances. The electric wheelchair emerged as a form of innovation and development for the manual wheelchair. This paper presented the control system of the electric wheelchair based on finger poses using the Convolutional Neural Network (CNN). The camera is used to take pictures of five-finger poses. Images are selected only in certain sections using Region of Interest (ROI). The five-finger poses represent the movement of the electric wheelchair to stop, right, left, forward, and backward. The experimental results indicated that the accuracy of the finger pose detection is about 93.6%. Therefore, the control system using CNN can be a potential solution for an electric wheelchair.]]>
<![CDATA[Collaborative Learning in Virtual Learning Environment using Social Network Analysis ]]>
<![CDATA[Fitria Amastini]]>;
<![CDATA[Cristin Kaunang]]>;
<![CDATA[Afifah Nefiratika]]>;
<![CDATA[Dana Indra Sensuse]]>;
<![CDATA[Sofian Lusa]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v7.2076
<![CDATA[Distance learning is supposed to provide not only independent learning activities but also two-way interaction and collaborative learning based on inquiry model to control students' learning. E-learning is one of the platform to implement two-way interaction and inquiry model. Universitas Terbuka (UT) is the first open distance education university in Indonesia. This paper will study and visualize participation in discussion and interaction on the virtual learning environment (VLE) UT using Social Network Analysis (SNA). This paper also used a questionnaire to detect knowledge sharing behavior (KSB) in the Collaborative Learning Environment (CLE) based on Social Presence, Perceived Online Attachment Motivation, Perceived Online Relationship Commitment, and Altruism indicators. For the perception of students and evaluation about e-learning UT, we use Yilmaz's Transactional Distance. The results of the measurement network in forum discussion can detect that the tutors are most important, and who are mostly reply to other student's posts or which students' post are mostly commented by others. Personal/Informal network shows that students tend to interact only with students on same location registered region office.]]>
