Exploring Factors Affecting the Digitization of Blue Economy Micro- Small and Medium Enterprises (MSMEs): Indonesian Context

SIHOMBING, Sabrina O.,LAYMAN, Chrisanty V.,HANDOKO, Liza Korea Distribution Science Association 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.10

This study aims to identify the factors supporting and inhibiting the digitalization of blue economy MSMEs in Bitung, Indonesia. The literature shows little research on digitalization related to the blue economy in Southeast Asia, especially in Indonesia. This indicates that there is a large research gap related to digitalization and the blue economy in the Indonesian context. Data was collected through the distribution of questionnaires with open-ended questions to blue economy MSMEs. Data was also obtained from in-depth interviews with representatives of Aruna, an Indonesian company that focuses on simplifying the supply chain of fishery products by connecting small-scale fishers to the global market through technology. According to the study's findings, two primary factors-motivation to develop their business and efforts to maintain seller-buyer interaction-support SMEs' use of technology in the blue economy. However, digital literacy and technological infrastructure, such as the internet network, are the two main factors that become obstacles in the effort to digitize MSMEs in the blue economy. The role of the government is also a contingent factor that can strengthen the relationship between factors that support digitization and weaken the relationship between factors that hinder digitalization.

Parallel fault tree analysis for accurate reliability of complex systems

Sihombing, Fritz,Torbol, Marco Elsevier 2018 Structural safety Vol.72 No.-

<P><B>Abstract</B></P> <P>Fault tree analysis is one of the methods for the probabilistic risk assessment of components and subsystems of nuclear power plants. The algorithms that solve a fault tree have been until now serial. Instead, this study presents new algorithms that handle and solve a fault tree by taking advantage of the new state of the art in parallel computing: general purpose graphic processor unit (GPGPU). The subsystems of nuclear power plants are the target of this study. However, the method can be used on many others, complex, engineering systems. The different, developed, parallel algorithms are: one builder, which assembles the topology matrix of the fault tree and leads the computation of the three, developed, new solvers. A bottom-up solver, a cut sets solver, and a Monte Carlo simulation solver. The probability of the top event, and the probabilities of each cut sets are computed. The results shows that, given the same investment, a GPU can handle larger fault trees than a CPU implementation. The developed solvers are the foundation of the next generation parallel algorithms for the tree-based analysis of complex systems.</P> <P><B>Highlights</B></P> <P> <UL> <LI> New algorithms are proposed to solve fault trees on parallel general purpose GPU architecture. </LI> <LI> The obtained framework execute fault tree analysis faster and better than existing serial software. </LI> <LI> More cut sets than ever before can be identified. </LI> <LI> Existing fault trees can be solved by the new parallel algorithms. </LI> </UL> </P>

Analytical fragility curves of a structure subject to tsunami waves using smooth particle hydrodynamics

Fritz Sihombing,Marco Torbol 국제구조공학회 2016 Smart Structures and Systems, An International Jou Vol.18 No.6

This study presents a new method to computes analytical fragility curves of a structure subject to tsunami waves. The method uses dynamic analysis at each stage of the computation. First, the smooth particle hydrodynamics (SPH) model simulates the propagation of the tsunami waves from shallow water to their impact on the target structure. The advantage of SPH over mesh based methods is its capability to model wave surface interaction when large deformations are involved, such as the impact of water on a structure. Although SPH is computationally more expensive than mesh based method, nowadays the advent of parallel computing on general purpose graphic processing unit overcome this limitation. Then, the impact force is applied to a finite element model of the structure and its dynamic non-linear response is computed. When a data-set of tsunami waves is used analytical fragility curves can be computed. This study proves it is possible to obtain the response of a structure to a tsunami wave using state of the art dynamic models in every stage of the computation at an affordable cost.

Hybrid parallel smooth particle hydrodynamic for probabilistic tsunami risk assessment and inland inundation

Fritz Sihombing,Marco Torbol 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.23 No.2

The probabilistic tsunami risk assessment of large coastal areas is challenging because the inland propagation of a tsunami wave requires an accurate numerical model that takes into account the interaction between the ground, the infrastructures, and the wave itself. Classic mesh-based methods face many challenges in the propagation of a tsunami wave inland due to their ever-moving boundary conditions. In alternative, mesh-less based methods can be used, but they require too much computational power in the far-field. This study proposes a hybrid approach. A mesh-based method propagates the tsunami wave from the far-field to the near-field, where the influence of the sea floor is negligible, and a mesh-less based method, smooth particle hydrodynamic, propagates the wave onto the coast and inland, and takes into account the wave structure interaction. Nowadays, this can be done because the advent of general purpose GPUs made mesh-less methods computationally affordable. The method is used to simulate the inland propagation of the 2004 Indian Ocean tsunami off the coast of Indonesia.

The Role of Organizational Commitment Mediating Job Satisfaction and Work Motivation with Knowledge-Sharing Behavior in 4 Star Hotels in Badung Regency, Bali

Irene Hanna H. Sihombing,I Wayan Gede Supartha,Made Subudi,I Gusti Ayu Manuati Dewi People&Global Business Association 2017 Global Business and Finance Review Vol.22 No.3

Organizational commitment is greatly affecting the quality of services provided by a customer oriented organization, particularly for hotels and inns. The satisfaction and loyalty of the customer are derived from superior service quality. The innovative service of the employees’ behavior can be improved by increasing knowledge-sharing among employees. The purpose of this study is to examine the relationship between work motivation and job satisfaction with knowledge-sharing behavior at 4 star hotels in Badung regency, Bali, as well as to predict the role of organizational commitment as mediation in the relationship between work motivation and job satisfaction on knowledge- sharing behavior. This study uses a quantitative approach. The population of the study is 17 four star hotels located in Badung regency of Bali. There are 123 samples taken by applying to the operational employees at the level of the rank and file as the unit for analysis. Structural Equation Model with PLS 2.0 was applied to analyze the data. The result showed that there is a significant relationship between job satisfaction and the organizational commitment. Work motivation has no significant positive relationship toward organizational commitment and knowledge-sharing behavior. The organizational commitment has the full mediation role for the relationship between job satisfaction and knowledge- sharing behavior. The novelty in this study is the examination of the relationship between work motivation and knowledge-sharing behavior and the examination of the role of organizational commitment as mediation. Organizations need to increase employees’ job satisfaction as this will have an impact on improving organizational commitment. Increased organizational commitment is essential to improve employees’ quality of services provided to customers. Improved quality of service, to avoid the failure of service delivery and reduce operational costs, can be improved by developing knowledge-sharing behavior.

An Ocean of Opportunity: The Digitalization of Small and Medium-sized Enterprises in Bitung, Indonesia

Chrisanty V. LAYMAN(Chrisanty V. LAYMAN ),Liza HANDOKO(Liza HANDOKO ),Sabrina O. SIHOMBING(Sabrina O. SIHOMBING ) 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.1

Over the past ten years, numerous industries have undergone upheavals that have significantly altered how businesses interact with their clients and how goods are created and produced bySMEs. Many cutting-edge technologies have recently been created and implemented to enhance business models, facilitate sustainability features for organizations, and boost business capabilities. This essay seeks to understand how digital entrepreneurship functions in developing nations. The results of this study show the effectiveness of digital transformation in the context of SMEs is greatly influenced by aspects including the change of managerial intensity and the involvement and perception of workers, customers, and shareholders. One of the needs that business owners showcased in this study in terms of digitization is infrastructure resources to support digitization such as devices, the Internet, and funds, but also the ability to use digital media for business development. Practical skills that business people want to learn such as product design and management of their social media accounts. There are also aspects of time and self-motivation of the business actor that can speed up or slow down the digitization process. Finally, government support that is structured in encouraging MSMEs is also one of the supporters and drivers of digitalization in the blue economy.

The Integration of Social Media to the Theory of Planned Behavior: A Case Study in Indonesia

Sabrina O,SIHOMBING,Rudy PRAMONO 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5

Leader and leadership are one of the important aspects in the life of a country. This study aims to predict the intention of young voters to vote for state leader elections by expanding the theory of planned behavior to the Indonesian context. Apart from the importance of the presidential election, research rarely uses the theory of planned behavior, and to the best of researchers’ knowledge, there are no studies that have applied the theory of planned behavior to predict the intention to vote for the president. Therefore, this study is an attempt to fill that gap. Two hundred questionnaires were distributed using non-probability purposive sampling. Data analysis was carried out using the structural equation modeling (SEM) approach. The results showed that attitude and behavior control were positively related to voters’ intention to elect presidential candidates. Furthermore, information from social media also has a positive relationship with the attitude of choosing presidential candidates. However, the results also show that subjective norms do not have a significant relationship with voters’ intention. This study contributes knowledge to researchers, practitioners, and policymakers about the factors that influence youth intention to vote in Indonesia, namely, attitudes, perceived behavior control, and information from social media.

The Influence of Individual Factors on Hospitality Students’ Internship Satisfaction: The Mediation Role of Perceived Importance

Irene Hanna H,Sihombing People&Global Business Association 2021 Global Business and Finance Review Vol.26 No.1

Purpose: This study explains the effect of academic preparedness, positive attitude, and self-initiative towards satisfaction in students’ industrial training (internship) program. Those three independent variables are dimensions of individual factors variable, while individual factors variable is one of the determinants of training effectiveness. The purpose of the study is to explain the individual factors and the role of perceived importance that mediates the relationship of the respective individual factor to the internship satisfaction. Design/methodology/approach: The research population was the 6th and 8th semester students of Diploma IV Hospitality Administration of Bali Tourism Polytechnic. Students of the Diploma IV Hospitality Administration study program at Bali Tourism Polytechnic performed an internship program twice, with a duration of 6 months respectively. Respondents who returned and filled out the questionnaire correctly were 178 respondents. The hypotheses and the research model were analyzed by using the Structural Equation Model (SEM) with a PLS basis. Findings: The research findings are (1) individual factors bring positive and significant effect towards internship job satisfaction, (2) individual factors have positive and significant effect towards perceived importance, (3) perceived importance has positive and significant effect towards job satisfaction, and (4) perceived importance influenced individual factors in job satisfaction. Research limitations/implications: This study was conducted to improve the individual factors of the hospitality students to enhance their skills in the real working condition. For future related study, it is demanded to investigate the impact of the industrial training for the students’ decision in continuing to pursue their career in the hospitality industry. Originality/value: In general, this research can contribute to empirical literature concerning on the perception of vocational students’ industrial training. Furthermore, this study contributes to Bali Tourism Polytechnic in developing the industrial training program for the students and preparing the vocational students to be ready in the hospitality industry.

Antecedents of Online Impulse Buying Behavior: An Empirical Study in Indonesia

PRAWIRA, Natasha A.,SIHOMBING, Sabrina O. Korea Distribution Science Association 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.2

This study aims to determine and analyze the effect of social shopping, adventure shopping, value shopping, relaxation shopping, and idea shopping in influencing impulsive online buying behavior moderated by scarcity and serendipity information. The research method used is the quantitative research paradigm using surveys as a medium to obtain primary data. The paper examines the theoretical research model and tested fifteen hypotheses. The questionnaire was developed based on indicators from previous research. A non-probability sampling framework is used in this study. The data collection method uses electronic and online questionnaires to collect primary data with a total sample of 330 taken with the criteria of having made transactions in e-commerce Shopee in the last three months. Data analysis tools using Structural Equation Modelling (SEM) approach. The results showed that 8 out of 15 hypotheses were accepted and supported. The results show that there is a relationship between the value of hedonic shopping, scarcity, and serendipity information on impulsive online buying behavior. Therefore, analyzing the needs of customers, optimizing customer satisfaction, service excellence, website quality, and the ease of use of e-shopping itself especially in the e-commerce industry should be taken seriously nowadays.

Modeling Fashion Brand Authenticity Toward Brand Usage Intention: Evidence from Indonesia

GINTING, Magdalena L.,SIHOMBING, Sabrina O.,ANTONIO, Ferdi,PRAMONO, Rudy Korea Distribution Science Association 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.6

The growth of local fashion brands in Indonesia is interesting because of the speed with which new designs are made, many variants are created, and local brands are developed. However, when it comes to buying local fashion products, the brand isn't the sole consideration. As a result, the marketing effectiveness of local fashion brands needs to be examined more thoroughly. The purpose of this study was to understand more about brand authenticity and how it affects brand usage intentions. The unit of analysis in this study was Generation Z, who purchase from local fashion companies online. A quantitative research methodology was used. The data was analyzed using the PLS-SEM method to test the hypotheses with the dependent variables. The variables were the intention of using the brand, the quality of the brand relationship, and the authenticity of the brand. The results of this study indicated that brand authenticity had an effect on brand usage intent and brand relations quality mediates the positive effect of brand authenticity on brand usage intent.