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  • The Global Impacts of COVID-19: Risk and Crisis Management in Affected Company

    Authors: Eddy Soeryanto Soegoto ; Senny Luckyardi

    DOI: –

    Abstract

    The economic decline becomes the most severe phenomenon that hit the world besides the medical impact of the coronavirus outbreak. Southeast Asia countries as the middle-income countries require a better strategy to successfully respond to Coronavirus Disease 2019 (COVID-19) pandemic. Moreover, the highly uncertain condition makes it difficult for the affected companies’ management in decision and policy-making. Therefore, this chapter aimed to develop better risk and a crisis management as the right response towards rapid and sudden change in crisis situation. In particular, it suggests ways that decision makers can adjust their company management for dealing with the extreme condition. The chapter explored risk and crisis management of some management experts using descriptive analysis, literature review, and qualitative technique. The chapter resulted in risk and crisis management strategies for reducing losses but at the same time providing protection for their employee considering people’s safety is second to none. The way of how companies react will bring big impacts to control the economic downturn in the middle of a global recession that now seems inevitable. © 2024 by Nova Science Publishers, Inc.

    Author keywords

    companies; pandemics; risk and crisis management; South East Asia

    This article can be accessed at https://www.scopus.com/pages/publications/85216680653?

  • New Approach of COVID-19 Prevention by Implemented Combination of Decision Support System Algorithm

    Authors: Eddy Soeryanto Soegoto; Yeffry Handoko Putra; Rahma Wahdiniwaty; Zuriani Ahmad Zukarnain; Noorihan Abdul Rahman

    ​​DOI: 10.1109/ICIC56845.2022.10006989

    Abstract:

    Indonesia and Malaysia from 2020 to 2021 were exposed to COVID-19 pandemic. Both countries implemented a policy of restricting entry areas based on almost the same criteria, In Indonesia namely as PPKM which applying some level of exposure to those infected with covid-19. The determination of this level was all based on the growth in numbers exposed to covid-19, but on pandemic cases, the number of people who do not suffer from COVID-19 disease but have the same symptoms as the symptoms of COVID-19 also need to be considered as the pandemic agent to their environment. We named it as Precaution Covid-19 Pandemic (PCP) Level. The current level of the COVID-19 pandemic has not been fully determined by this idea. So, the idea of this research is to determine the pre-pandemic or precaution level of covid-19 in an area interfere by surrounding area. PCP level was not based on the growth of those infected with the covid-19 disease, but influenced by the number of patients whose have the symptoms similar to the dominant symptoms of the covid-19. The PCP Level determination can be used for precaution policy and support the previous Level Pandemic Methods. To accomplish this idea, three algorithms are used, they are K-Mean algorithm as a pattern clustering and the AHP algorithm as a level determination of the Covid-19 pandemic, While the relationship of candidate symptom pairs to Covid-19 transmission is carried out using the Naïve Bayes algorithm. The results of this study show that the combination of the three proposed algorithms provides and using data symptoms closely to dominant covid-19 symptoms can give an alternative for precaution level of covid-19 pandemic. The model for determining Covid-19 transmission based on four candidate symptoms has 89% precision and 85% accuracy. Published in 2022 Seventh International Conference on Informatics and Computing (ICIC)

    This article can be accessed at https://ieeexplore.ieee.org/document/10006989

  • Model of Expected Benefit, E-Learning Curriculum, and Education Partners on E-Learning

    Model of Expected Benefit, E-Learning Curriculum, and Education Partners on E-Learning

    Authors: Indriana; Doni Purnama Alamsyah; Nina Kurnia Hikmawati

    DOI: 10.1109/ICIMTech55957.2022.9915129

    Abstract

    Adaptation of new technology in e-learning begins with psychological motivation from students, where this becomes important related to the success of the e-learning concept. Examining the phenomenon, this study aims to investigate the relationship between student psychological motivation and expected benefits, e-learning curriculum, and educational partners. The research was conducted on students in the city of Bandung through a quantitative survey. The data from students was taken through a questionnaire and the tabulated data from the questionnaire was processed using SmartPLS. There is a research model based on the design of the research hypothesis being tested. The results showed that the expected benefit and e-learning curriculum had a positive relationship with psychological motivation. Meanwhile, educational partners do not have a positive relationship with psychological motivation. Furthermore, it is known that the expected benefit has the biggest impact in supporting the psychological motivation of students. Psychological motivation is important related to the adaptation of new technology in e-learning, because it is a factor that can increase the success of using e-learning as a learning medium. The findings of this study can be used as input for universities in reviewing the concept of e-learning so that it can be well received by its users.

    Keywords

    Industries, COVID-19, Electronic learning, Pandemics, Education, Urban areas, Psychology

    This article can be accessed at https://ieeexplore.ieee.org/document/9915129

  • Sundanese Ancient Manuscript Retrieval System Comparison of Two Probability Approaches

    Authors: Mira Suryani, Setiawan Hadi, Ayi Muhammad Iqbal Nasuha

    DOI: 10.1109/IAC.2016.7905698

    Abstract

    Nowadays, the development of information technology both in terms of hardware and software has been growing rapidly. Many people used technology to search many types of information. On the other hand, there are information on Sundanese ancient manuscript as cultural heritage with many valuable information still accessed manually, such as the manuscript which located in Situs Kabuyutan Ciburuy, Garut, Jawa Barat. Many people with many purposes (i.e. Research, education, etc.) came to access directly. Its becoming a problem because due to lack of maintainability, the manuscripts became fragile. Furthermore, the information will be lost. So, the emergency solution should be proposed to preserve this valuable heritage. We proposed a retrieval system using the probability approach that can be effective for search the information in ancient Sundanese language. The two probability approaches: Bayesian Networks and Divergence form Randomness have been compared. The 50 queries for three different types of structured query have been run and evaluated by Mean Average Precision (MAP). The results give that the effective methods come from Bayesian Network. There is another finding during the building process of retrieval system. The interactive visualization can be delivered by the retrieval system according to the given query. © 2016 IEEE.

    Author keywords

    ancient manuscript; bayesian network; divergence from randomness; retrieval system; Sundan

    This article can be accessed at https://www.scopus.com/pages/publications/85019215889

  • Blockchain for Managing Citizens’ Data: Bibliometric Analysis and Systematic Literature Review

    Blockchain for Managing Citizens’ Data: Bibliometric Analysis and Systematic Literature Review

    Authors: Erna Piantari, Dwi Novia Al Husaeni, Eddy Prasetyo Nugroho, Ani Anisyah, Irawan Afrianto, Irham Jundurrahman, Ibrahim Danial Bisulthon

    DOI: 10.56294/dm2024.537

    Abstract

    Introduction: blockchain is an advanced technology that ensures a high level of data transparency and security by utilizing a distributed mechanism in storing and managing data. While currently blockchain is mostly utilized to facilitate cryptocurrency transactions due to its capability in securing data, blockchain also has the potential to store and manage various data, including government data. This research aims to reflect in the literature on trends in the application of blockchain technology in citizen data management and e-Government systems, focusing on trends, architectural design and the sector of the implementation of this technology. This research will also investigate data integrity and population accountability. This study seeks to provide insight into the challenges and application of blockchain technology in governance systems through several research questions. Method: the PRISM method is used as a guide for conducting literature review analysis starting from defining literature eligibility criteria, defining information sources, conducting filtering, and data analysis. Results: based on the results of the literature review, several previous studies have integrated Blockchain with IoT to increase supply chain transparency. Meanwhile, in e-government systems, several Blockchain implementations are used for decentralized identity verification to ensure the integrity and privacy of demographic data. Conclusions: previous research shows that Blockchain technology has the potential to improve efficiency, security and transparency in various fields, especially in data management and governance. © 2024; Los autores.

    Author keywords

    Blockchain; Data Management; Data Security; E-Government; SLR

    This article can be accessed at https://www.scopus.com/pages/publications/85216280528

  • Adventure Game as Learning Media for Introducing Music Interval and Ear Training to Kids

    Adventure Game as Learning Media for Introducing Music Interval and Ear Training to Kids

    Authors: Muhammad Ilham Rizqyawan, Galih Hermawan

    DOI: 10.1109/ICACOMIT.2015.7440200

    Abstract

    Interval plays is a major role in music theory so that almost every musician must recognize musical intervals. On the other hand, interval can not be separated from relative pitch, an ability to recognize interval by ear. A common problem in learning music theory and ear training are it can be bored, less fun and less challenging for students. Therefore, Game-Based Learning (GBL) is proposed in this study as a learning method for musical interval and ear training. An experiment with pretest and post-test is conducted, and as a treatment, an adventure game with proposed approach was built. Pre-test and post-test includes both theoretical and relative pitch test. Theoretical test is written test with multiple choices of theoretical questions about learning material presented on each stage. Relative pitch test were conducted by playing a random musical interval and asked the student to guess what interval it is. The result is the game could give an improvement in theoretical test score by 79.22% and 19.23% in relative pitch test. © 2015 IEEE.

    Author keywords

    ear training; educational game; music interval

    This article can be accessed at https://www.scopus.com/pages/publications/84966457735

  • Study of Hybrid Neurofuzzy Inference System for Forecasting Flood Event Vulnerability in Indonesia

    Study of Hybrid Neurofuzzy Inference System for Forecasting Flood Event Vulnerability in Indonesia

    Authors: Sri Supatmi, Rongtao Hou, Irfan Dwiguna Sumitra

    DOI: 10.1155/2019/6203510

    Abstract

    An experimental investigation was conducted to explore the fundamental difference among the Mamdani fuzzy inference system (FIS), Takagi-Sugeno FIS, and the proposed flood forecasting model, known as hybrid neurofuzzy inference system (HN-FIS). The study aims finding which approach gives the best performance for forecasting flood vulnerability. Due to the importance of forecasting flood event vulnerability, the Mamdani FIS, Sugeno FIS, and proposed models are compared using trapezoidal-type membership functions (MFs). The fuzzy inference systems and proposed model were used to predict the data time series from 2008 to 2012 for 31 subdistricts in Bandung, West Java Province, Indonesia. Our research results showed that the proposed model has a flood vulnerability forecasting accuracy of more than 96% with the lowest errors compared to the existing models. © 2019 Sri Supatmi et al.

    Indexed keywords

    MeSH

    Algorithms; Computer Simulation; Floods; Forecasting; Fuzzy Logic; Humans; Indonesia

    Engineering controlled terms

    Flood control; Floods; Fuzzy inference; Fuzzy systems; Membership functions

    Engineering uncontrolled terms

    Experimental investigations; Flood forecasting models; Flood vulnerabilities; Forecasting accuracy; Fuzzy inference systems; Mamdani fuzzy inferences; Neuro-fuzzy inference systems; Research results

    EMTREE medical terms

    algorithm; computer simulation; flooding; forecasting; fuzzy logic; human; Indonesia; procedures

    Engineering main heading

    Weather forecasting

    This article can be accessed at https://www.scopus.com/pages/publications/85062826333

  • Exploring Biomass-Based Brake Pads from Various Construction Wastes in Microparticle Sizes: Advancing Environmentally Friendly Solutions and Student Entrepreneurship for Sustainable Development Goals (SDGs)

    Exploring Biomass-Based Brake Pads from Various Construction Wastes in Microparticle Sizes: Advancing Environmentally Friendly Solutions and Student Entrepreneurship for Sustainable Development Goals (SDGs)

    Authors: Senny Luckyardi, Muhamad Fahrezi, Eddy Soeryanto Soegoto, Brandon Nathanael Meliala, Fadhil Fadhilah Ilham, Risti Ragadhita, Asep Bayu Dani Nandiyanto

    DOI: 10.54645/202518SupVPE-57

    Abstract

    This study analyzed the effectiveness of brake pads made from biomass materials, from building construction waste, which was done to find alternative brake pads that are environmentally friendly. This article also examineds the development of entrepreneurship to support sustainable development goals (SDGs). The methods included experiments, verification, and descriptive analysis. We utilized Borneo sawdust, mahogany, and bamboo as biomass materials for making brake pads. The results indicated the prospective construction waste materials as raw materials for brake pad production, assisting the SDGs by providing ecologically friendly solutions and lowering the amount of trash generated during construction. Mahogany wood dust biomass with sizes of 4 µm was the most effective material composition to be used as an environmentally friendly brake pad, compared to Borneo wood dust and bamboo. Mahogany had greater durability and friction qualities. The results also showed the importance of this study for government, business, and academic institutions to work together to foster student entrepreneurship and the growth of sustainable innovation, helping achieve the SDGs. © 2025, Philippine-American Academy of Science and Engineering. All rights reserved.

    Author keywords

    Brake pad; Entrepreneurship; Green innovation; Microparticle; Sustainable development goals


    This article can be accessed at https://www.scopus.com/pages/publications/105023279826

  • The Contribution of Stress Management and Good Employee Performance Towards the Success of a Company

    The Contribution of Stress Management and Good Employee Performance Towards the Success of a Company

    Abstract

    Introduction:

    Today, factors which drive a company’s success are basically workers’ personality and one of the factors affecting work is self-management, which includes stress management. It is this factor which can later influence the performance of a worker within a company.

    Aims:

    In this case, the present study aimed to examine the contribution of personal stress management to an employee’s performance and how such influence may affect a company’s success. The main focus of this study was to evaluate stress management and its effect on employees’ performance. This study took place in Bandung at organization X and we applied a descriptive survey method as the most appropriate means of the study. The participants were purposively selected comprising 34 employees.

    Conclusion:

    The results revealed that there are many stress factors employees endure though they don’t significantly affect performance, but still influence most of their decisions to leave the company due to continuous dissatisfaction. It is therefore recommended that such a company should establish a most appropriate strategy to prevent stress within its employees.

    Keywords: Work stress, Stress management, Stress, Success, Personal character, Employee performance.

    This article can be accessed at https://openpsychologyjournal.com/VOLUME/10/PAGE/154/

  • Improvement Strategy of Purchasing Power in West Java, Indonesia

    Improvement Strategy of Purchasing Power in West Java, Indonesia

    Author: Eddy Soeryanto Soegoto

    DOI: 10.1166/asl.2016.6751

    Abstract

    This paper aims to discussing of establishment strategy and roadmap creation to increase the purchasing power in economics scope at Bekasi, West Java, Indonesia. The method used in this study is mix method. Case study and questionnaire conducted in Bekasi district using purposive sampling for industries and services sectors. The variables of purchasing power is using HDI (Human Development Index) which consists of economic, social, and health dimensions. Based on data analysis shows that people’s income is relatively low (Rp 545.920,00/month). The suggested strategies are given subsidies for SMEs, training/coaching of entrepreneur skills, programs and communities enhancement in economic activities. The roadmap creation should start from the superior commodities development and infrastructure availability. © 2016 American Scientific Publishers. All rights reserved.

    Author keywords

    Hdi (human development index); Improvement strategy; Purchasing power

    This article can be accessed at: https://www.scopus.com/pages/publications/84985916125