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All Journal JOURNAL SCIENTIFIC OF MANDALIKA (JSM)
Tuwandi Juniarto
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Humanities Languange, Linguistic, Communication & Media Other

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Proses Desain Mesin Pengupas Serabut Kelapa Menggunakan Metode Quality Function Development (QFD) Studi Kasus Desa Margarahayu Tuwandi Juniarto; Zakaria Nur Aziz; Andre Git Git Pamungkas
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 10 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss10pp4114-4126

Abstract

Manual stripping of coconut fibers is still widely done by farmers in Margarahayu Village, Muara Telang District, Banyuasin Regency, which causes low work efficiency and high labor requirements. This study aims to design a coconut fiber peeling machine with a Quality Function Deployment (QFD) approach to better suit user needs and be able to increase productivity. This research uses a quantitative approach with instruments such as observation, interviews, questionnaires, documentation, and literature studies. Data analysis techniques were carried out by compiling a House of Quality to determine the priority of consumer attributes and translating them into machine technical specifications. Based on the QFD method, consumers want five main requirement attributes, and the attribute that becomes the top priority in the design process is the ease of use by the operator with a contribution value of 3.873. In addition, the design of this machine is proven to significantly increase productivity when compared to manual or traditional methods that still use wedge tools.
Pengaruh Word Of Mouth Terhadap Keputusan Pembelian Konsumen Pada Industri Perjalanan Wisata (Studi Kasus Pada CV. Tugu Citra Pesona Palembang) Tuwandi Juniarto; Fahrurrozi Mawasandi
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 4 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss4pp888-903

Abstract

In the travel industry, word of mouth (WOM) plays an important role. Prospective tourists tend to seek information and recommendations from people close to them, such as family, friends, or colleagues, before deciding to travel (Litvin et al., 2008). This is because the tourism industry is an intangible sector, so WOM can help reduce the risk and uncertainty felt by prospective tourists (Jalilv and & Samiei, 2012). Structural Equation Modeling (SEM) is a statistical analysis technique used to build and test statistical models in the form of causal models (Anuraga, G. and Otok, B. W). From the development of the proposed model using the SEM method, the estimated strength of the relationship between various variables and significant indicators for success can be known. The model fit test in this report uses several criteria, including Chi Square, GFI, AGFI and RMSEA. Although the final model obtained a high Chi square value (149.247) with zero probability, but because several other criteria were met with GFI and AGFI values ​​above 0.9 and RMSEA below 0.08, the model was considered suitable. The results of this study indicate that word of mouth plays an important role in the tourism industry. Word of mouth has a significant influence on tourist purchasing decisions and customer loyalty. This is because the tourism industry is an intangible sector, so word of mouth can help reduce the risk and uncertainty felt by prospective tourists.
Co-Authors Andre Git Git Pamungkas Fahrurrozi Mawasandi Zakaria Nur Aziz