SciRepID - Scientific Publication Search

Publication Search

41,520 articles from 397 journals · 1,447 citations tracked

Showing 1-2 of 2

Analytics

Ramadhani Alfiko Rokhmatan; Rafi Maulana; Muhammad Imam Alghifari; Budiharjo Budiharjo

Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer 2026 Asosiasi Riset Teknik Elektro dan Informatika Indonesia

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

Ramadhani Alfiko Rokhmatan; Rafi Maulana; Muhammad Imam Alghifari; Budiharjo Budiharjo

Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer 2026 Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.