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Tourism Industry Supply Chain through Stakeholder Participants: Facing Environment Uncertainty of Post Pandemic Covid-19 Achmad, Fandi; Sriwana, Iphov Kumala; Prambudia, Yudha; Rumanti, Augustina Asih
Metris: Jurnal Sains dan Teknologi Vol. 24 No. 02 (2023): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v24i02.3941

Abstract

The environmental uncertainty due to the COVID-19 pandemic poses severe challenges for all parts of the supply chain in the tourism industry. The focus of the Indonesian government is to improve the condition of the tourism industry, which has experienced a decline in the number of tourists due to the COVID-19 pandemic. A supply chain tourism industry framework was developed through the Support System Facilities (SSF) variable to map the actors in the tourism industry activities in an uncertain environment due to COVID-19. The method in this study uses a qualitative descriptive approach through in-depth interviews, direct observation, and literature study. The results of this study are the tourism industry supply chain conceptual framework which states that there are several stages in distributing services and support systems and facilities to tourists, namely through suppliers, tour operators, tour agencies, and tourists. This finding has practical implications for the government in making a policy strategy.
Cultural Influences on Problem Solving and Decision-Making in Student Projects: A Comparative Study between Indonesia and Germany Achmad, Fandi; Febriyani, Widia; Nzefa, Raoul; Ahkim, Fadma; Rania, Attouk
Metris: Jurnal Sains dan Teknologi Vol. 25 No. 01 (2024): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v25i01.4519

Abstract

Differences in cultural dimensions across countries can influence approaches and behavior patterns in education. Therefore, this study aims to analyze the influence of culture on problem-solving and decision-making in student projects in Indonesia and Germany. A comparative approach between the two countries identifies significant cultural differences in power distance, individualism, masculinity, uncertainty avoidance, long-term orientation, and indulgence. The research method used is a qualitative approach with descriptive analysis. Data was collected through interviews and observations of students involved in the project. The study results show that cultural differences affect students' approaches to problem-solving and decision-making. In Indonesia, group cooperation and conformity to social norms play an important role, while independence and critical thinking are prioritized in Germany. The implications of this research are the importance of increasing cultural awareness, developing collaborative skills, increasing independence and critical thinking, and empowering students with cultural knowledge. By understanding cultural differences and taking the right steps, educators can create an inclusive learning environment and prepare students to face the challenges of an increasingly globalized world.
E-Business Innovation on SME Resilience Model: The Moderating Role of Financial Literacy Rosmawati, Wiwin; Judijanto, Loso; Amilusholihah; Sopandi, Encep; Arifin, Zainal; Achmad, Fandi
Journal of Economics, Business, and Accountancy Ventura Vol. 28 No. 1 (2025): April-July 2025
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav,28(1)2025,4729

Abstract

In the era of advanced digitalization, the ability of SMEs to adapt and adopt e-business innovation is a key factor to survive and compete in the global market. This study aims to determine the effect of e-business innovation in improving the resilience of SMEs and explore the extent to which financial literacy moderates the relationship between the adoption of e-business innovation and SME resilience. This research was conducted in the printing sector of Malang City, Indonesia, which has around 2,145 printing SMEs based on data from the Malang City Cooperative Office in 2023. The research method uses a quantitative approach with a Structural Equation Model (SEM) assisted by the Smart PLS application. The sampling technique used purposive sampling with a sample of 100 SMEs selected based on criteria such as business size, level of e-business technology adoption, and financial literacy. The results showed that the variables studied had a significant and positive effect so that it was accepted. In addition, strong financial literacy can strengthen the relationship between e-business innovation and SME resilience. These findings underscore the importance of improving financial literacy among SMEs as part of the strategy to maximize the benefits of ebusiness innovation in improving SMEs' business resilience. 
DECISION SUPPORT SYSTEM FOR INSTAGRAM ACCOUNT PERFORMANCE ASSESSMENT OF BATIK RUMAH MERAH Kurniawati, Amelia; Gurnita, Rizki Fajar Ahmad; Hasanudin, Fahmy Habib; Achmad, Fandi; Soesanto, Rayinda Pramuditya
Jurnal Teknologi Industri Pertanian Vol. 35 No. 3 (2025): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2025.35.3.261

Abstract

Lasem hand-drawn batik is an Indonesian cultural heritage characterized by motifs and colors resulting from the acculturation of Javanese and Chinese cultures. Currently, Lasem hand-drawn batik entrepreneurs have begun to utilize social media, especially Instagram, to reach a wider market. Batik Rumah Merah, which is the object of this study, has five Instagram accounts, with varying engagement rates. The performance of the five accounts needs to be monitored, so that Batik Rumah Merah can determine targets and plans for the next period. Thus, this study aims to design a decision support system for assessing the performance of Batik Rumah Merah's Instagram accounts. The decision-making method used is the Weighted Sum Model (WSM). The research was carried out through several main steps, namely the preliminary stage, determining criteria, determining alternatives, data collection, designing a decision support system, designing a business process, analysis, and conclusions. The criteria used are followers growth rate, weekly followers, steady growth factor, weekly engagement rate, engagement rate, average likes, average comments, weekly posts, followers ratio, and comments ratio. The weights used can be determined by the user. The alternatives used are five Instagram accounts belonging to Batik Rumah Merah. The designed system is equipped with a business process, making it easier for users. The results obtained using the WSM method produced a value for rank 1 with a value of 0.59862, rank 2 with a value of 0.5491, rank 3 with a value of 0.4168, rank 4 with a value of 0.3464, rank 5 with a value of 0.3034 with the order rumahmerahindonesia, oemahbatik_nusantara, batikrumahmerahlasem, oemahbajulasem, oemahbatiklasem. Keyword: engagement rate, instagram, decision support system
Analytical Data for Sewing Production Efficiency: A Model Based on Artificial Neural Networks (ANNs) Abdullah, Fadil; Kusumadewi, Afriani; Martina, Tina; Kuswinarti, -; Achmad, Fandi
Texere Vol 23, No 2 (2025): Texere Volume 23 Nomor 2 Tahun 2025
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v23i2.07

Abstract

The labor-intensive apparel manufacturing sector is continually focused on meeting output goals, necessitating continuous improvements in production efficiency. Achieving targets at the lowest feasible cost is crucial for production management efficiency, especially in clothing production. The sewing component plays a vital role in enhancing the usefulness of clothing through a series of steps to produce ready-made garments. To optimize this process, we developed a model using an artificial intelligence (AI)-based method, specifically Artificial Neural Networks (ANNs), to enhance sewing production efficiency. The model focused on optimizing parameters that significantly influenced efficiency. Our results demonstrate that the ANNs model, with 1000 iterations, successfully replicates empirical data with an R-squared value of 0.98. The research introduces the novel use of an ANNs model with a five-node configuration and 1000 iterations, proving effective in optimizing sewing process parameters. This AI-based approach is a powerful tool for improving production efficiency in the textile industry, making significant theoretical and practical contributions. The findings offer substantial practical implications for practitioners in the textile industry and provide a robust framework for optimizing sewing production process parameters to achieve higher efficiency.
Pendampingan Pembelajaran Bahasa Indonesia Dan Pengenalan Budaya Indonesia Bagi Siswa Santi Witya Serong School, Thailand. Achmad, Fandi; Khannan, M Ni’amil
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/zaqbxp12

Abstract

Santi Witya Serong School merupakan lembaga pendidikan yang melayani komunitas Muslim di Thailand, yang memiliki keterbatasan akses terhadap penguasaan bahasa dan budaya Indonesia. Kondisi awal menunjukkan tingkat pemahaman siswa terhadap materi keindonesiaan hanya sebesar 15%, sehingga diperlukan program pendampingan sistematis untuk meningkatkan literasi lintas budaya. Program ini dilaksanakan melalui pengabdian masyarakat berbasis praktik dan metode komunikatif. Program dirancang untuk mengenalkan bahasa Indonesia melalui praktik percakapan sederhana serta pengenalan kekayaan budaya menggunakan media interaktif. Hasil kegiatan menunjukkan peningkatan signifikan, di mana tingkat pemahaman siswa meningkat dari 15% menjadi 88% setelah pendampingan. Partisipasi aktif siswa sangat tinggi, ditandai dengan keberanian mempraktikkan percakapan dan menyanyikan lagu Indonesia. Kesimpulannya, program ini berhasil meningkatkan kompetensi bahasa asing siswa sekaligus memperkuat hubungan budaya antara Indonesia dan Thailand di tingkat sekolah melalui luaran nyata berupa kamus kosa kata bergambar dan video profil sekolah.
SEGMENTATION OF INNOVATION CAPABILITY IN BATIK SMES USING K-MEANS CLUSTERING Aditya, Reza; Achmad, Fandi
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.521

Abstract

Increasing global competitive pressures and sustainability demands encourage Small and Medium Enterprises (SMEs) to strengthen their Innovation Capability to maintain competitive advantage. In the batik creative industry, innovation capability is not only crucial for increasing competitiveness but also for maintaining the sustainability of cultural heritage. However, the level of Innovation Capability in Batik SMEs is still heterogeneous and has not been systematically mapped using a data-driven approach. This study aims to segment Batik SMEs based on Innovation Capability (IC) using the K-Means Clustering method. This study uses a quantitative approach involving 82 Batik SME owners or managers through a purposive sampling technique. Innovation capability is measured using five indicators (IC1–IC5) covering technology adoption, green process adjustment, customer collaboration, cross-functional coordination, and access to new technologies. Data are standardized using Z-score normalization before the clustering process. The optimal number of clusters is determined using the Elbow and Silhouette Coefficient methods, which produce the two best clusters (silhouette = 0.6179) based on a balance of model quality and interpretability. The research results show two main segments: the High Innovation Capability cluster and the Low Innovation Capability cluster. The High Innovation Capability cluster demonstrates superior performance across all indicators, particularly in process adaptation and cross-functional coordination. Conversely, the Low Innovation Capability cluster has limitations in technology adoption and access to innovation-supporting technologies. This research provides a theoretical contribution to strengthening the literature on innovation capability based on data segmentation in SMEs, as well as a practical contribution to formulating more targeted sustainability strategies.Keywords: Capability Innovation; Batik SMEs; Sustainability; Data-Based Segmentation; Clustering