Claim Missing Document
Check
Articles

Found 3 Documents
Search

Strategic Integration of Internal and External Environments through Innovation for Enhancing Organizational Performance Fandi Achmad; Zulmi Ramdani; Iwan Inrawan Wiratmadja
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.9965

Abstract

The complexity of the challenges faced by modern industries stems not only from internal factors such as organizational structure and corporate culture, but also from external factors such as the intensity of market competition and the dynamics of changing consumer trends. Both of these aspects require in-depth strategic attention, particularly in the context of the highly dynamic tourism industry. Therefore, this study aims to understand how the interaction between the internal and external environments affects the performance of tourism organizations, with a focus on innovation as a key driver in addressing the complexities of the tourism industry environment. This research method uses a quantitative Partial Least Square Structural Equation Model (PLS-SEM)approach, which models the relationships between variables and identifies key factors that influence performance outcomes. Data collection was carried out through questionnaires involving respondents from various levels in SMEs around tourist areas. The results of the study reveal a significant relationship between the internal and external environments and innovation, as well as their impact on the performance of tourism organizations. Practical implications for stakeholders include developing more targeted innovation strategies, increasing internal capacity for innovation, and responding more effectively to changes in the external environment.
Designing a Knowledge-Based Smart Community System to Strengthen Community Governance Fahmy Habib Hasanudin; Fandi Achmad; Hilman Dwi Anggana; Dio Pasa Pramudis; Muhammad Rivaldi; Muhamad Daffa Rial
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.10504

Abstract

The development of digital technology drives the need for more transparent, participatory, and data-driven community administration. However, in many residential communities, administrative management is still carried out manually, fragmented, and lacks knowledge documentation, potentially leading to inefficiency and low community participation. This study aims to design and implement a Smart Community Platform based on data and knowledge management as an appropriate technology to improve administrative transparency and community participation in the Paguyuban Arcadia, G-Land Arcadia area, Bandung Regency. The research method used is a participatory approach and Rapid Application Development (RAD), which includes the stages of needs planning, system design, prototype development, and system implementation and evaluation by involving administrators and residents as users. The results of the study indicate that the implementation of the Smart Community Platform can improve the transparency of administrative information, the efficiency of citizen data management, and the intensity of community participation through e-administration features, digital forums, and data-based information notifications. In addition, the implementation of knowledge management contributes to documenting and distributing community knowledge in a structured manner. The implications of this research show that the integration of digital technology, data, and knowledge management in the context of local communities can be a model for strengthening sustainable and adaptive community governance to digital transformation.
Organizational Performance-Based Segmentation of Batik SMEs Using K-Means Clustering Reza Aditya; Bernieka Desyaranti; Fandi Achmad
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.10597

Abstract

Batik Small and Medium Enterprises (SMEs) play a strategic role in the economy and cultural preservation in Indonesia, yet exhibit varying levels of organizational performance. This heterogeneity demands a more objective and data-driven segmentation approach so that development strategies and policies can be implemented effectively. This study aims to segment Batik SMEs based on organizational performance using the K-Means clustering method. Primary data were obtained through a structured questionnaire survey of 56 Batik SMEs, with organizational performance indicators covering operational and financial performance. All data were normalized using StandardScaler to ensure scale equality between variables. The optimal number of clusters was determined using the Elbow method and the silhouette coefficient. The analysis results showed that a two-cluster configuration was the optimal solution with the highest silhouette coefficient value. The K-Means model resulted in two segments of Batik SMEs with significantly different organizational performance characteristics: SMEs with low organizational performance and SMEs with high organizational performance. Centroid value analysis and cluster visualization confirmed clear cluster separation and a good level of internal homogeneity. These findings indicate that segmenting Batik SMEs based on organizational performance using an unsupervised learning approach is effective in uncovering the structure of performance heterogeneity. This research contributes to providing a data-driven segmentation framework that can be utilized as a tool to support managerial decision-making and policy formulation to sustainably improve the performance and competitiveness of Batik SMEs.