Papers by Dachyar Muhammad
Elsevier Ltd, 2019
The term "Internet of Things" first appeared in publication paper since 2006, describing the para... more The term "Internet of Things" first appeared in publication paper since 2006, describing the paradigm of evolution concept that brought about by the presence of internet technology (Vermesan and Friess, 2015) which is very important in contemporary circumstances. This study conducted an in-depth analysis of the research material written on 26420 papers which focused on the published Internet of Things (IoT) research, starting from the firstly year IoT keyword appeared in 2006 until 2018. The selected paper is a combination of various disciplines and publications which are all indexed by Scopus wherein the article discusses IoT. IoT articles are classified using key attributes in sequence: the methodology used, general knowledge and applied concepts, and various general exploration topics. By using the Scientometrics method, this method will group the overall terms that appear frequently from the Scopus paper database according to keywords, titles, and abstracts. The resulting data is then studied to understand and distinguish trends that occur in the time span along with the general characteristics of the paper, in the mathematics visual scheme. All various issues that are considered in the paper's methodology selection, their studied and services innovations, and continuing discoveries on the characteristics, concepts, and processes applied to IoT success. Although it only involves scopus indexed paper, this study found a remarkable increase in the number of articles on IoT in each category of the paper. This study also reveals the direction of the regular discipline of knowledge. The use of the Scientometrics method makes the analysis able to focus on the movement of characteristics and IoT themes to researcher's direction that has not found at this time, as a comprehensive guide to further research and industry strategy that is more directed on concepts that support the 4th industrial revolution.
The growing of fierce competition between
telecommunication-supporting companies has massively
af... more The growing of fierce competition between
telecommunication-supporting companies has massively
affected these companies in a way that these companies have
to keep improving and increasing their qualities.
Telecommunication-supporting companies should be able to
do the analysis of the factors that support their operational
excellence, so that the company will be able to compete with
its competitors. Methods of Quality Function Deployment
(QFD) is used to determine the customers demand and actions
to be taken by the company to meet customer demand.
Technical factors, as output of the QFD were then analyzed
using the method of Failure Mode and Effect Analysis
(FMEA) in terms of failure risk factors, effects and how to
control, therefore the companies will be able to perform
maintenance and perform at its optimum operational. The
study produced analysis of the factors that support operational
excellence in enterprise procurement of products and services
supporting telecommunication. The main concern are the four
technical factors with the greatest probability of failure, which
are technical factors to adapt to new trends in operational and
maintenance strategies, technical factors business processes
redesign, technical factors sync with the strategy and design,
and technical factors leaders establish appropriate and
capable
Indonesia's exports of jewellery trends that continue to rise are not in line with the increase i... more Indonesia's exports of jewellery trends that continue to rise are not in line with the increase in Production Output Trends from companies in Indonesia’s industri. This research uses one of jewellery manufacturing company in Bali province as a case study. This research used a Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) method which the objective is to improve productivity through integrated DMAIC phase of a project. On the Define phase, this research used a SIPOC (Supplier-Input-Process-Output-Customer) Diagram. On the following Measure phase, a questionnaire used to collect primary data and company data for the secondary data. The questionnaires obtained from 4 Experts in Continuous Improvement and 5 Experts in Jewellery Manufacturing Industry. On the Analyze phase, a combination of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)-Analytic Hierarchy Process (AHP), and Decision Tree are used to be able to see a result from different approach. Lastly, at the Improve and Control phases, a Perfomance Indicator approach were used. The obtained result from this research, are the most important Productivity Factor for a jewellery manufacturing company which is Labor Producitvity with the ranked order of 9 alternatives based on Ideal Solution on the increase of productivity. The chosen alternative with the highest priority ratio is the Implementation of the daily activity planning system for all employees, with an estimated increase in productivity at the level of 47%. To support the success of alternatif implementation Overall Worker Efficiency (OWE) performance indicator were being proposed.
Currently the entertainment industry industry is adopting online ticketing for supporting
busine... more Currently the entertainment industry industry is adopting online ticketing for supporting
business from main products to profitability improvement. E-loyalty needs to be examined
because are deals with less loyal customer characteristic. The sample are 249 customers whom
h purchased for ticket at least once. Data was gathered by questionnaires and
analyzed by Path Analysis and Importance – Performance Analysis. The finding of the
research indicate that satisfaction has the strongest relationship to e-loyalty. This study provides
four improvement alternatives as a form of new business development strategy for showbiz
industry in Indonesia.
One way to increase university competitiveness is through information system
management. A litera... more One way to increase university competitiveness is through information system
management. A literature review was done to find information system factors that affect
university performance in Quacquarelli Symonds (QS) University Ranking: Asia evaluation.
Information system factors were then eliminated using Delphi method through consensus of 7
experts. Result from Delphi method was used as measured variables in PLS-SEM. Estimation
with PLS-SEM method through 72 respondents shows that the latent variable academic
reputation and citation per paper have significant correlation to university competitiveness. In
University of Indonesia (UI) the priority to increase university competitiveness as follow: (i)
network building in international conference, (ii) availability of research data to public, (iii)
international conference information, (iv) information on achievements and accreditations of
each major, (v) ease of employment for alumni.
The promotion of innovation by means of information systems based on business process reengineeri... more The promotion of innovation by means of information systems based on business process reengineering (BPR) and enterprise resource planning (ERP) has become a major trend in recent decades in organizations aiming to achieve performance improvements. To facilitate the formulation of a strategy for higher education innovation driven by strategic management, research needs to be done on organizational innovation models, information systems, and strategic innovation measures. However, no studies have focused on these areas up to now.
This research used expert judgment and structural equation modeling (SEM) to obtain the variables of the designated model. The factor that most affects organizational innovation performance is organizational change, which showed values of 0.619, 0.679, and 0.679 for Jakarta, Bandung, and Bogor, respectively. Specifically, coordination improvement was the most affected aspect of organizational innovation performance. The current research shows that in higher education, the most significant factor in improving organizational innovation performance is organizational change, and in Bandung, this change relied more on ERP implementation than was the case in Jakarta and Bogor.
Innovative Systems Design and Engineering, 2013
Telecommunications industry in Indonesia has rapidly increased. An intense competition of telecom... more Telecommunications industry in Indonesia has rapidly increased. An intense competition of telecommunication operators has often neglecting quality of services which must be provided but instead focussing on offering cheap telecommunications costs. Every year average revenue per unit (ARPU) tends to decline, which result innovations, increase service quality, and prevent the customers switch to another operator. This research was using Soft Systems Methodology (SSM) approach based on philosophy of Critical Systems Thinking (CST), and Strategic Assumption Surface Engineering and Testing (SAST). Data flow diagram (DFD) were used as tools for designing management model innovation for telecommunication companies in Indonesia. The result obtained an incentives to innovators which is an important factor for Analytical Hierarchy Process (AHP). The further innovation model for telecommunication in Indonesia is producing innovations which ultimately improve customer service quality.
Advanced Science Letters, Jan 14, 2014
Business competition is very tough in information technology industry, especially technology-base... more Business competition is very tough in information technology industry, especially technology-based on mobile phone transaction. Entering the year 2013, there is a need of a comprehensive report about the performance of electronic claim insurance in order to create a breakthrough and services improvement to face the competition of enterprises. This product will be discuss comprehensively using a combined method of E-ServQual (E-S-Qual and E-RecS-QUal), Kano Method, and Quality Function Deployment (QFD). Based on merger analysis of E-ServQual and Kano, and there are seven of attributes that categorized as A's; should be increased to reach a competitive advantage, 10 attributes service categorize O's; should be improved, enhanced in order to meet customer satisfaction, and 10 attributes service categorize M's; must be repaired to meet the consumers. Company knows very much which attributes to be optimized and go beyond consumer expectations and attributes, solved to meet the customers needs. It relates to efficiency of improvement service.
The high level of telecommunication growth in Indonesia has faced many obstacles in running the b... more The high level of telecommunication growth in Indonesia has faced many obstacles in running the business performances.This research has investigate factors influenced the increasing of customer satisfaction in the telecommunication companies in Indonesia; Telkomsel, Exelcomindo, and Indosat. The samples were taken from customers which are using the pre-paid cards. The variables used to analyze their effects to customer satisfaction were; image, customer expectation, perceived quality, and perceived value. The result shows customer satisfaction positively are perceived quality with influence of 0.43 and image with influence of 0.35, and customer expectation has indirect influence to customer satisfaction.
Cloud Computing is one of the emerging technology in the world of information technology. Technol... more Cloud Computing is one of the emerging technology in the world of information technology. Technology acceptance model is strongly influenced by the recommendations of the decision makers in companies, which are influenced by their perception of new technologies. In this research will be discussed what factors are associated with significant recommendations of use of new technologies. The research was conducted by sending questionnaires to 400 companies; to the decision makers in the company. There are 180 companies has provided the answers. Based on the analysis results, there are several factors that influence decision making namely needs factors, cost effectiveness, security and the reliability the technology to be implemented
The high demand of urban transportion services has become an opportunity for companies to gain cu... more The high demand of urban transportion services has become an opportunity for companies to gain customers. The important key for company in maintaining and improving customer relationship is customer satisfaction. The samples of this research are 1200 taxi users of BB taxi, EX taxi, and TX taxi which rush ini around Jakarta City. Structural equation modeling is used for data processing and analyzing. The result of this study indicates the company image has the strongest impact. Thus, companies needs to consider company image and other several significant factors to increase customer satisfaction and earn customer loyalty.
Journal of Physics: Conference Series 495 (2014) 012012
To maintain position as a major milk producer, the Indonesian milk industry should do some busine... more To maintain position as a major milk producer, the Indonesian milk industry should do some business development with the purpose of increasing customer service level. One strategy is to create on time release conditions for finished goods which will be distributed to customers and distributors. To achieve this condition, management information systems of finished goods on time release needs to be improved. The focus of this research is to conduct business process improvement using Business Process Reengineering (BPR). The deliverable key of this study is a comprehensive business strategy which is the solution of the root problems. To achieve the goal, evaluation, reengineering, and improvement of the ERP system are conducted. To visualize the predicted implementation, a simulation model is built by Oracle BPM. The output of this simulation showed that the proposed solution could effectively reduce the process lead time and increase the number of quality releases.
This study aimed to investigate the influence of innovation and quality of service factors to cus... more This study aimed to investigate the influence of innovation and quality of service factors to customer
loyalty in the telecommunication companies. Big three telecommunication companies in Inodnesia become
an object of this research. Innovation factors which are used being viewed by product, service, technology, and
marketing innovation. While quality of service factors are being viewed by network, coverage, voice limpidity,
data transfer rate, and customer service quality. While customer loyalty is composed of several antecedents,
namely customer expectation, perceived quality, perceived value, corporate image, perceived ease of use, customer
satisfaction, customer trust, customer commitment, customer complaint, and customer loyalty. Structural
Equation Modeling (SEM) showed that innovation factors has no significant direct influence to customer loyalty,
but has indirect effect through its influences to the antecedents of loyalty, as customer commitment, customer
trust, and customer satisfaction.
Telecommunications company have to improve their business performance despite of the increase cus... more Telecommunications company have to improve their business performance despite of the increase customers every year. In Indonesia, the telecommunication company have provided best services, improving operational systems by designing a framework for operational systems of the Internet of Things (IoT) other name of Machine to Machine (M2M). This study was conducted with expert opinion which further processed by the Analytic Hierarchy Process (AHP) to obtain important factor for organizations operational systems, and the Interpretive Structural Modeling (ISM) to determine factors of organization which found drives the biggest power. This study resulted, the greatest weight of SLA & KPI handling problems. The M2M current dashboard and current M2M connectivity have power to affect other factors and has important function for M2M operations roomates system which can be effectively carried ou
Decision-making in a project is a complex undertaking. A project is a temporary organization that... more Decision-making in a project is a complex undertaking. A project is a temporary organization that is surrounded by inherent uncertainties. Uncertainties that may occur in the project, among others, are the uncertainty of the time, cost, and quality. To overcome this complexity, we need a project performance evaluation. At one of the services the oil and gas in Indonesia, the performance evaluation has been done, but it is done separately and only few criteria are evaluated, so that the overall project performance is still not visible. Therefore it is necessary to evaluate the performance of the company's project with the MCDA (Multi Criteria Decision Analysis) approach using MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) method that can model the elements of the project into a supervisory level group to facilitate decision making by the project manager. These measurements will produce levels of monitoring classification of project element groups, i.e. absolute vigilance, strong attention, close surveillance, and normal monitoring of the project elements. This research finds that the criteria of Effectiveness, Efficiency, Time, Cost, and Complete Reports & Field Tickets require absolute vigilance so that the performance criteria can be increased.
Innovation is being view from four areas of innovation, product, service, technology, and marketi... more Innovation is being view from four areas of innovation, product, service, technology, and marketing. Whereas customer loyalty is composed of customer expectation, perceived quality, perceived value, corporate image, customer satisfaction, customer trust/confidence, customer commitment, customer complaint, and customer loyalty. This study aimed to investigate the influence of innovation factors to customer loyalty to GSM in the telecom companies where use of products and services. Structural Equation Modeling (SEM) using to analyze innovation factors. It was found the factor of innovation have significant influence on customer loyalty.
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Papers by Dachyar Muhammad
telecommunication-supporting companies has massively
affected these companies in a way that these companies have
to keep improving and increasing their qualities.
Telecommunication-supporting companies should be able to
do the analysis of the factors that support their operational
excellence, so that the company will be able to compete with
its competitors. Methods of Quality Function Deployment
(QFD) is used to determine the customers demand and actions
to be taken by the company to meet customer demand.
Technical factors, as output of the QFD were then analyzed
using the method of Failure Mode and Effect Analysis
(FMEA) in terms of failure risk factors, effects and how to
control, therefore the companies will be able to perform
maintenance and perform at its optimum operational. The
study produced analysis of the factors that support operational
excellence in enterprise procurement of products and services
supporting telecommunication. The main concern are the four
technical factors with the greatest probability of failure, which
are technical factors to adapt to new trends in operational and
maintenance strategies, technical factors business processes
redesign, technical factors sync with the strategy and design,
and technical factors leaders establish appropriate and
capable
business from main products to profitability improvement. E-loyalty needs to be examined
because are deals with less loyal customer characteristic. The sample are 249 customers whom
h purchased for ticket at least once. Data was gathered by questionnaires and
analyzed by Path Analysis and Importance – Performance Analysis. The finding of the
research indicate that satisfaction has the strongest relationship to e-loyalty. This study provides
four improvement alternatives as a form of new business development strategy for showbiz
industry in Indonesia.
management. A literature review was done to find information system factors that affect
university performance in Quacquarelli Symonds (QS) University Ranking: Asia evaluation.
Information system factors were then eliminated using Delphi method through consensus of 7
experts. Result from Delphi method was used as measured variables in PLS-SEM. Estimation
with PLS-SEM method through 72 respondents shows that the latent variable academic
reputation and citation per paper have significant correlation to university competitiveness. In
University of Indonesia (UI) the priority to increase university competitiveness as follow: (i)
network building in international conference, (ii) availability of research data to public, (iii)
international conference information, (iv) information on achievements and accreditations of
each major, (v) ease of employment for alumni.
This research used expert judgment and structural equation modeling (SEM) to obtain the variables of the designated model. The factor that most affects organizational innovation performance is organizational change, which showed values of 0.619, 0.679, and 0.679 for Jakarta, Bandung, and Bogor, respectively. Specifically, coordination improvement was the most affected aspect of organizational innovation performance. The current research shows that in higher education, the most significant factor in improving organizational innovation performance is organizational change, and in Bandung, this change relied more on ERP implementation than was the case in Jakarta and Bogor.
loyalty in the telecommunication companies. Big three telecommunication companies in Inodnesia become
an object of this research. Innovation factors which are used being viewed by product, service, technology, and
marketing innovation. While quality of service factors are being viewed by network, coverage, voice limpidity,
data transfer rate, and customer service quality. While customer loyalty is composed of several antecedents,
namely customer expectation, perceived quality, perceived value, corporate image, perceived ease of use, customer
satisfaction, customer trust, customer commitment, customer complaint, and customer loyalty. Structural
Equation Modeling (SEM) showed that innovation factors has no significant direct influence to customer loyalty,
but has indirect effect through its influences to the antecedents of loyalty, as customer commitment, customer
trust, and customer satisfaction.
telecommunication-supporting companies has massively
affected these companies in a way that these companies have
to keep improving and increasing their qualities.
Telecommunication-supporting companies should be able to
do the analysis of the factors that support their operational
excellence, so that the company will be able to compete with
its competitors. Methods of Quality Function Deployment
(QFD) is used to determine the customers demand and actions
to be taken by the company to meet customer demand.
Technical factors, as output of the QFD were then analyzed
using the method of Failure Mode and Effect Analysis
(FMEA) in terms of failure risk factors, effects and how to
control, therefore the companies will be able to perform
maintenance and perform at its optimum operational. The
study produced analysis of the factors that support operational
excellence in enterprise procurement of products and services
supporting telecommunication. The main concern are the four
technical factors with the greatest probability of failure, which
are technical factors to adapt to new trends in operational and
maintenance strategies, technical factors business processes
redesign, technical factors sync with the strategy and design,
and technical factors leaders establish appropriate and
capable
business from main products to profitability improvement. E-loyalty needs to be examined
because are deals with less loyal customer characteristic. The sample are 249 customers whom
h purchased for ticket at least once. Data was gathered by questionnaires and
analyzed by Path Analysis and Importance – Performance Analysis. The finding of the
research indicate that satisfaction has the strongest relationship to e-loyalty. This study provides
four improvement alternatives as a form of new business development strategy for showbiz
industry in Indonesia.
management. A literature review was done to find information system factors that affect
university performance in Quacquarelli Symonds (QS) University Ranking: Asia evaluation.
Information system factors were then eliminated using Delphi method through consensus of 7
experts. Result from Delphi method was used as measured variables in PLS-SEM. Estimation
with PLS-SEM method through 72 respondents shows that the latent variable academic
reputation and citation per paper have significant correlation to university competitiveness. In
University of Indonesia (UI) the priority to increase university competitiveness as follow: (i)
network building in international conference, (ii) availability of research data to public, (iii)
international conference information, (iv) information on achievements and accreditations of
each major, (v) ease of employment for alumni.
This research used expert judgment and structural equation modeling (SEM) to obtain the variables of the designated model. The factor that most affects organizational innovation performance is organizational change, which showed values of 0.619, 0.679, and 0.679 for Jakarta, Bandung, and Bogor, respectively. Specifically, coordination improvement was the most affected aspect of organizational innovation performance. The current research shows that in higher education, the most significant factor in improving organizational innovation performance is organizational change, and in Bandung, this change relied more on ERP implementation than was the case in Jakarta and Bogor.
loyalty in the telecommunication companies. Big three telecommunication companies in Inodnesia become
an object of this research. Innovation factors which are used being viewed by product, service, technology, and
marketing innovation. While quality of service factors are being viewed by network, coverage, voice limpidity,
data transfer rate, and customer service quality. While customer loyalty is composed of several antecedents,
namely customer expectation, perceived quality, perceived value, corporate image, perceived ease of use, customer
satisfaction, customer trust, customer commitment, customer complaint, and customer loyalty. Structural
Equation Modeling (SEM) showed that innovation factors has no significant direct influence to customer loyalty,
but has indirect effect through its influences to the antecedents of loyalty, as customer commitment, customer
trust, and customer satisfaction.