1244 e-ISSN: 2980-4108 p-ISSN: 2980-4272 IJEBSS
IJEBSS Vol. 2 No. 04, Merch-April 2024, pages: 1243-1255
managing tourism in their area needs to be optimized, so a framework is required to understand the complex
dynamics of pokdarwis as part of Community Collective Engagement (CCE).
The Dynamics Soft Systems Methodology (SSM) approach can be used as a framework for developing
conceptual models (Trenerry et al., 2021)–(Wang, Liu, & Mingers, 2015) because SSM is specifically designed
to address complex and ambiguous problems. SSM helps detail, analyze, and formulate problems by involving
various stakeholders and understanding Pokdarwi's perspectives. The SSM approach can provide a holistic
view to identify differences in perceptions and goals between the multiple parties involved in CCE, such as
Polaris and others. Thus, SSM helps formulate conceptual models that understand the complex dynamics and
conflicts between various elements in the CCE. Therefore, this study aims to develop a new model to strengthen
community participation in utilizing digital technology for tourist purposes. In this case, the main focus refers
to innovation in the context of community participation and digital technology (Latuperissa, 2020).
This study also wants to know the aspects that will be the basis for the success indicators of conceptual models
using the Multi-factors Evaluation Process (MFEP) algorithm. MFEP is also one of the methods in the realm of
SSM (Tarifu, Equatora, Abdullah, & Saragih, 2021), (Xu, Guan, Shi, & Blersch, 2018), which can be used to
determine the best priority level in several aspects considered in various fields. In this study, the indicators of
model success with the SSM approach are efficiency, efficacy, and effectiveness. The study aims to develop
innovative models to strengthen community participation in technology-based tourism. At the same time, the
benefits involve increased understanding, creative solutions, scientific contributions, and community
participation.
This research will make valuable contributions to knowledge in community participation, technology-
based tourism, and using SSM as a research approach. In this case, increasing community participation
positively impacts the development and sustainability of technology-based tourist destinations.
Community collective engagement, or CCE, is an essential concept in the tourism industry, mainly if
applied to increase the number of people working there. This is due to the realization that tourism is becoming
one of the important economic sectors in many countries, which can provide significant financial benefits (Pane
et al., 2021); (Moric, Pekovic, Janinovic, Perovic, & Griesbeck, 2021). Community Collective Engagement (CCE)
refers to the active and collaborative participation of diverse community members in the decision-making,
planning, implementation, and evaluation processes of various projects that affect the lives of the community.
This idea highlights the need for community involvement in shaping policies, initiatives, or projects that impact
ecological, social, cultural, and economic well-being. The concept of CCE is, first, participation and collaboration,
which allows people to share information, knowledge, and different points of view to achieve common goals.
Second is joint decision-making, and third is capacity building. Fourth, Transparency and Accountability.
Involvement in Planning and Implementation. Sustainability and Empowerment. Positive impact.
MFEP is a quantitative method that uses a weighting system (Retnowati Retnowati, Wahyudi, & Anis,
2022), (Warnilah, Purnia, Adiwisastra, Sutisna, & Ardianto, 2020), (Honorata Ratna Putranti Retnowati &
Danang, 2022). Aspects of success indicators of the model to be implemented. This context is essential in
decision-making so that the main elements agreed upon get a priority picture for Pokdarwis and decision-
makers. All critical criteria in making considerations are given appropriate weighting. The same steps are taken
on alternative aspects to be selected and evaluated about these consideration factors. The MFEP method
determines that the alternative with the highest value is the best solution based on the criteria that have been
selected. The formula used in MFEP can be explained in formula points (1) and (2), which begin by determining
the indicators, criteria, and weights of each criterion as the primary source of counters in MFEP (Xu et al., 2018).
The next step is to calculate the evaluation weight value (NBE) with the formula:
NBE = NBF * NEF (1)
Information:
NBE = Evaluation Weight Value
NBF = Value Weight Factor
NEF = Value Evaluation Factor
Once the NBE can be calculated, the next step is to calculate the total evaluation weight (TBE) with the
formula:
TBE = NBE1 + NBE2 + NBE3 + .......NBEn (2)