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E-Tendering is an electronic-based procurement method that integrates all parties involved in construction projects through a digital platform, simplifying communication, document exchange, and transactions from the initial stage to project completion. The primary objective of implementing E-Tendering in the construction sector is to improve efficiency and transparency in the procurement process of goods and services. However, construction service providers often face obstacles in E-Tendering, such as limited technological proficiency, administrative errors that may disqualify bids, and technical issues like internet connectivity and platform system reliability. Therefore, this research aims to identify the barriers and level of understanding of E-Tendering among construction service providers in Surabaya. A total of 51 respondents were selected using snowball sampling, based on their participation in the E-Tendering system. Data processing in this study employed a quantitative approach using the Fuzzy AHP method to analyze the criteria and sub-criteria related to understanding and obstacles in participating in electronic construction service tenders (E-Tendering). The results of the analysis of service providers’ understanding of the E-Tendering system using the AHP method showed a λmax value of 9.09, a Consistency Index (CI) of 0.01, and a Consistency Ratio (CR) of 0.007. The CR value, which is far below the threshold of 0.10, indicates that the respondents’ assessments are consistent, meaning that the pairwise comparison results of the nine criteria can be considered valid and reliable.

The implementation of risk management is an important method that is carried out in order to identify risk factors that may arise during the implementation of the project. However, the implementation of risk management still faces some obstacles in its implementation. Therefore, this study aims to analyze the barriers to the implementation of risk management in construction projects in Surabaya. A total of 80 respondents filled out questionnaires from construction service providers including contractors and consultants. Respondents involved include professional experts such as Project Managers, Site engineers, Site managers, implementers, estimators, General Managers and Company Directors. Data processing using fuzzy AHP method as a data processing tool and decision making. The results of the study revealed that the main factors that can hinder the implementation of cost risk management are inaccurate cost estimates (Y4) with the highest weight of 0.433, lack of quality Control (Qc) supervision criteria (Y5) is ranked second with a weight of 0.288, poor coordination between stakeholders (owner,contractor and consultant) (Y1) is ranked third with a weight of 0.274, lack of risk management training (Y3) is ranked fourth with a weight of 0.005, and some, old age) (Y2), the work can not be done according to the work drawings (Y6), limited skilled human resources (Y7), materials not according to specifications (Y8), improper initial cost estimation (Y9), late progressive payment from the owner (Y10) ranked fifth jointly because it has an equivalent weight value of 0.These findings conclude that accurate cost estimation (Y4) is very important in construction projects because it becomes the main basis in budget planning, decision making, and risk management.

This study uses the Fuzzy Analytical Hierarchy Process (FAHP) method to examine the choice of methanol raw material sources at PT XYZ. The procedure of gathering primary and secondary data for this study entails identifying supplier selection criteria, compiling data on criteria and sub-criteria, and compiling information on supplier performance. Results indicated that product quality, price, supply reliability, sustainability, and reputation were important factors in PT XYZ's decision to choose a certain supplier for its methanol raw materials. The relative weight of each criterion and sub-criteria has been computed using the FAHP approach, which aids in assessing possible providers. Additionally, depending on the obtained priority values, supplier rankings are also established. In conclusion, PT XYZ may choose its raw material suppliers for methanol using the FAHP approach effectively. As well as producing more objective and organized outcomes, this strategy aids in lowering decision-making uncertainty and complexity.

This study aims to analyze the selection of edamame raw material suppliers at PT XYZ using the Fuzzy Analytical Hierarchy Process (FAHP) method. This research involves the process of collecting primary and secondary data which includes identification of supplier selection criteria, collection of criteria and sub-criteria data, and collection of supplier performance data. The results showed that the relevant supplier selection criteria in the context of edamame raw materials at PT XYZ were product quality, price, supply reliability, sustainability and reputation. Based on the FAHP method, the relative weight of each criterion and sub-criteria has been calculated, which helps in evaluating potential suppliers. In addition, supplier rankings are also determined based on the resulting priority values. In conclusion, the FAHP method can be used as an effective tool in selecting raw material suppliers for edamame at PT XYZ. This method helps in reducing uncertainty and complexity in decision making, as well as providing more objective and structured results.

Suppliers play an important role in determining product quality, costs, product development, and access to finance for companies. If the company is less selective in choosing its suppliers, the costs incurred may become ineffective. This study aims to develop or design a supplier selection model for non-critical items in Fast Moving Consumer Good companies. In this study, a literature review approach is used by examining 10 journals that have discussed supplier selection procedures. Each journal used as a basis for this study also has different problem objects, models, variables, methods and results. The results of the cross-reference analysis are used to design a procedural model for selecting suppliers for non-critical items. The design of the non-critical item supplier selection model uses several criteria which will later be used as the basis for selecting non-critical item suppliers. From several journals that have been studied, several criteria are obtained that are in accordance with the company that the researcher will conduct research, and will later be re-elected according to the company's needs. This study aims to develop or design a supplier selection model for non-critical items in FMCG (Fast Moving Consumer Good) companies. By using the F-AHP (Fuzzy – Analytical Hierarchy Process) and TLS (Traffic Light System) model, companies that have never had a procedure for selecting suppliers for non-critical items can carry out this procedure so that in the future this procedure can become a standard in companies in terms of choosing supplier.