DEVELOPMENT OF SME’S BUSINESS COOPERATION INFORMATION TECHNOLOGY SYSTEM DESIGN

system for SMEs innovation businesses. The collaborative system design is expected to respond to any changes in SMEs activities. By reacting quickly, the productivity of SMEs will increase because an effective collaboration system supports it. This study uses the method of Service Quality and Quality Function Deployment (QFD). Based on the technical response, project description (0.24), project status (0.17), collaboration team (0.16), project activities (0.15), project needs (0.13), special issues (0.07) and project performance (0.06) were selected as the proposed improvement and development by the priority of contribution in the QFD analysis. These attributes are prioritized in designing the SMEs collaboration system. A collaboration system was created for SMEs to increase their productivity


Introduction
The number of SMEs registered as members of the National digital program is 15.3 million out of 64.2 million. The Indonesian government hopes to hold the National digital program to increase the marketing of SMEs products. In 2030, the government is targeting 30 million SMEs to become national digital members, increasing the number of SMEs. Traditional collaboration is a system that is carried out directly, dealing with suppliers and customers in transforming business systems.
At this time, SMEs are faced with many competitors. SMEs must have a strategy to improve product quality. One strategy is to increase effectiveness and efficiency in production activities. This can be done through collaboration. The collaboration aims to accelerate response to market conditions. Market conditions are rapidly changing, so SMEs must meet consumer needs. SMEs collaborate with stakeholders. Stakeholders are customers, suppliers, and SMEs partners. SMEs want a collaboration design using information technology systems.
Therefore, studies that are devoted to identifying the attributes of the needs of SMEs in designing collaboration systems are of scientific relevance. The results of the attribute needs of SMEs will be prioritized in designing collaboration systems.
information systems and marketing. It is shown that many competitors are using online marketing systems, but there are unresolved problems related to the decline in consumer demand. The reason is that the marketing system is still not optimal. This is due to a large number of competitors.
The paper [3] presents agile, social, and customer information results. It is shown that there is an influence of agile, social, and customer information, but there are unresolved problems related to agility in responding to consumer needs. The reason is the lack of company resources. The way to overcome these difficulties is to increase the company's resources.
The paper [4] presents the marketing research results. The relationship between marketing and customer relationship management is shown. However, there are unresolved problems related to customer requests. The reason is that customers need the knowledge to implement digital marketing. Ways to overcome these difficulties can be done by providing training to customers. The paper [5] presents the results of research on the development of new products. It is shown that customers have fast-changing desires, but there are unresolved problems related to meeting customer needs. The reason is the significant lack of information on product needs. In product development, ways to overcome these difficulties can be applied to the agile concept. The paper [6] presents the results of research on improving SME marketing. It was shown that digital marketing is significant for SMEs, but there are unresolved problems related to information on marketing. The reason is the lack of a quick response to customer desires. The way to overcome these difficulties can be done by i mple me nt i n g B2B and B2C.
The paper [7] presents the results of research on agile. It is shown that digital marketing is significant, but there are unresolved problems related to the lack of response to customer requests. The reason is that the company is less than optimal in marketing products. The way to overcome these difficulties can be to create an agile marketing system. The paper [8] presents the research results on manufacturing organizations, showing an influence between digital capabilities and organizations on manufacturing. However, there are unresolved problems related to organizational systems in determining resources. The reason is the costs incurred to fulfill resources. The approach taken in the previous research shows the importance of increasing digital marketing. Increasing digital marketing can be done with business collaboration.

The aim and objectives of the study
The study aims to design a collaborative system for SMEs. To achieve this aim, the following objectives are accomplished: − to identify the voice of customer attributes to design business collaboration systems; − to determine the technical characteristics to meet the needs of SMEs in designing business collaboration systems; − to create a House of Quality to determine the priority level of attributes used in the design of business collaboration systems.

Materials and methods
The study aims to design a collaborative system for SMEs innovation businesses. The collaborative system design is expected to respond to any changes in SMEs activities. By responding quickly, the productivity of SMEs will increase because an effective collaboration system supports it. The government has a goal to improve the economy of SMEs. The improvement of the SMEs economy is carried out by accelerating the national digital transformation. Currently, SMEs have become members of the National digital program [9]. SMEs have collaborated with suppliers and customers. SMEs use collaboration traditionally [10]. Fig. 1 below shows the collaboration system implemented by SMEs. Fig. 1 above shows that SMEs need a business collaboration system design. The collaboration system is made in the form of an application to accelerate coordination between SMEs, consumers, and suppliers. Fast coordination will increase the efficiency of SMEs. Efficient activities will increase the productivity of SMEs to increase profits.
The study explores manufacturing companies and customers to create digital service innovations to address digitization. The research provides insight into companies that perform agile creation processes in the digital era [11]. The study examines the relationship between intellectual agility, entrepreneurial leadership, micro, and small businesses innovation, and economic efficiency [12]. Cognitive computing ushered in the industrial revolution through increased accuracy, scalability, and personalization. Therefore, business-to-business (B2B) organizations consider making decisions to be adopted into digital marketing initiatives [13]. The work provides an overview of organizations at various levels of maturity in the management and development of AMC based on "agile" carried out around four dimensions [14]. Industrial companies claim that collaboration can face high supply uncertainty, intense competition, and technological turbulence [15]. The research states that digital marketing is strongly influenced by resources, marketing,   [16]. This research creates a collaborative service framework in Agile Digital Transformation [17]. The research discusses agility in the context of international business and the main aspects of strategic agility [18]. The study analyzes, maps, and measures flexibility and agility in international business [19].
The work shows that companies understand agile management practices with continuous development, management, and engineering practices [20]. Agile can effectively increase collaborative innovation internally, namely employees, and externally, namely the market [21]. Readiness for change in helping SMEs adopt a digital-based economy is considered in [22]. This research integrates data-driven methods into digital marketing, and exponential technical advances provide opportunities for strategic advantage [23]. The results showed a positive influence between management system control and budget [24]. According to [25], the study discusses the strategy of SMEs to increase productivity. One of the strategies used by SMEs is collaboration. The heuristic method generates an enterprise architecture (EA) model as a project prototype [9]. The research contributes to the literature on sustainable innovation by describing appropriate processes for developing a green environment for collaborative, sustainable innovation [26].
The study provides a practical theory for a service system platform to optimize team collaboration efficiency and select team members objectively and fairly [27]. The company effectively undertakes Collaborative Product Development. The purpose of doing collaboration is to solve problems with distinct possibilities [28]. Collaboration is an essential factor in successful product development [29].
The research was conducted qualitatively and quantitatively. The method used is Service Quality and Quality Function Deployment. The Service Quality method is used to measure customer satisfaction with the service system [30]. This research has the following steps: 1. Creating a questionnaire to measure the level of satisfaction and expectations of the SME collaboration system. The questionnaire consisted of the first and second-stage questionnaires.
2. Creating an open questionnaire to determine respondents' expected attributes in the SME collaboration system.
3. Designing the first stage of the questionnaire. The first stage of the questionnaire aims to determine respondents' satisfaction levels and expectations in the SME collaboration system. 4. Conducting validity test, reliability test, and data adequacy test. According to [31], the validity test describes the level of ability of the measuring instrument used to reveal several main measurement targets so that it can be used to determine the accuracy of the questionnaire. If the calculated r-value>the value in the r table is positive, it is declared valid [32]. According to [33], a reliability test is a tool used to repeat measurements to get consistent measurement results.
5. Calculating the gap between the level of satisfaction and expectations of respondents. Attributes with a negative value indicate the need for improvement in the SME collaboration system. 6. Improvement of the collaboration system using the QFD method. The first step in the QFD method is to determine the voice of the customer. Voice of customer uses an attribute with a negative value from the gap calculation result.
7. Voice of customer data is used to make technical responses. Technical responses are used to answer customer needs. The relationship between the two is determined by the customer's voice and the technical response.
Quality of service as a service provider to customers according to digital needs. According to [34], service quality is a dynamic condition of service products, human resources, processes, and the environment to meet customer needs and desires. According to [35], customer satisfaction is a customer's expectation of a product or service that suits the customer's wishes. If the product is far below expectations, the customer will be dissatisfied. On the other hand, if the product meets expectations, the customer will be satisfied. Customer satisfaction causes customers to purchase, be loyal, and provide recommendations by word of mouth [38]. The company can increase customer loyalty by communicating and interacting effectively and efficiently [36]. This study uses the following mechanism (Fig. 2).

1. Determining the attributes according to the voice of the consumer
Questionnaire distribution activities were carried out on 1-17 June 2022. The distribution of the first stage of the questionnaire consists of 25 attributes, and an empty column is available to obtain additional attributes from the respondents. Then the first phase of the questionnaire was distributed to users of the collaboration system, as many as 30 respondents. The following Fig. 3 shows the characteristics of respondents for the first questionnaire.
From the distribution of 30 questionnaires, the first stage obtained two additional attributes. In preparing the second questionnaire stage, these two attributes will be added. Thus, the total attributes of the second phase of the questionnaire are 27 attributes. The following Table 1 shows the attributes desired by business collaboration system users.
Based on the table above, this study has 27 attributes of the voice of the customer. These attributes are used to make the second phase of the questionnaire. The second phase of the questionnaire is to determine SMEs' level of importance, satisfaction, and expectations in the design of business collaboration systems.
The questionnaire aims to determine the satisfaction and expectations of users of the collaboration system. Questionnaires were distributed between June 20-30, 2022. The questionnaires were distributed to users of the collaboration system, with as many as 120 respondents. Fig. 4 shows the recapitulation of the second stage of the questionnaire distribution.
The goal is to measure the level of expectation, importance, and satisfaction of the business collaboration system. The results of the questionnaire will be processed to From the picture above, a negative score means that the respondent has not reached the level of satisfaction in using the business collaboration system. Thus, it is necessary to make improvements in making business collaboration systems. In distributing the questionnaire, the minimum required sample adequacy must be met. By using Bernoulli's formula, the minimum sample can be calculated.

2. Determining technical characteristics
These attributes are used as a basis for making technical responses. The technical response was determined by nine people, consisting of 3 academics, three practitioners, and 3 SME owners. The results of the discussion in determining the technical response can be seen in Table 2.
The table above shows that there are 20 attributes of consumer needs. These attributes will be responded to by the development team in 7 technical responses. The technical response will be used as a basis for determining the priority of the SME business collaboration system design.

3. Creating a House of Quality
Based on the attributes of the voice of the customer and technical response, a House of Quality is created. The House of Quality aims to produce business collaboration system design priorities desired by SMEs. Based on the data above (Table 2), namely the voice of customer attribute, Fig. 6 shows the respondents' level of importance, satisfaction, and expectations.
Based on the data above (Table 2), namely the voice of customer attribute, Fig. 7 below shows the normalized raw weight value obtained by multiplying the improvement ratio, sales point, and important ratio.
Based on the value of the normalized raw weight and the relationship between the voice of the customer, the contribution of the priority collaboration system to the business collaboration system design can be determined. Fig. 8 below shows the relative contribution value.
The results of the study show the value of priority technical response rankings in designing the SMEs business collaboration system. The design will be made in the form of a software application. With this application, it will be easier for SMEs to run their business. The following Fig. 9 shows the design of the SMEs collaboration system.  Table1   1  2  3  4  5  6  7  8  9  10 17

Discussion of the research results on technical response priority
Based on the results of identifying consumer needs, there are 20 attributes. The attributes needed to design a collaboration system are related to the identity of SMEs partners, suppliers, and customers. In addition to this information, there is also information about the activities and needs of SMEs partners, suppliers, and customers. Thus, 20 attributes will serve as a basis for meeting the need to design a business collaboration system. This follows from the table above, namely Table 2, regarding the Technical Response of the SMEs Collaboration System, where attributes range from X1 to X20.
There are seven attributes based on the results of the technical response carried out by the collaborative system design team. These attributes are the result of discussions with the collaborative system design team. The design team consists of an information technology (IT) team. These attributes aim to make it easier for SMEs to apply business collaboration systems. It is hoped that SMEs will have an uncomplicated design system because SMEs have limited ability to use information technology. This follows from the table above, namely There is a Technical Response Priority result based on the relationship between consumer needs and technical response. The design team will prioritize the design of the collaboration system based on the sequence. The order is Project Description, Project Status, Collaboration Team, Project Activities, Project Needs, Project Performance, and Special Issues. From this sequence, the collaboration system design team has the basis for creating a business collaboration software application. This application aims to increase the productivity and competitiveness of SMEs. This follows from the picture above, namely Fig. 8 about the House of Quality, where there is a Technical Response Priority Ranking.
This study has limitations on the attributes generated from the two methods, so these attributes cannot show the attribute categories desired by SMEs.
The weakness in this study is the determination of respondents, especially in the SME business sector. This study discusses different types of companies so that the attributes obtained are general or non-specific. In designing a collaboration system, it is expected to be able to understand.
This research can be developed by adding the Kano method, which categorizes the attributes desired by SMEs. The categories in the Kano method are Must-be requirements, One-dimensional requirements, Attractive requirements, Indifferent, Questionable, and Reverse.

Data availability
This research has related data in data storage. The available data are qualitative and quantitative.