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All Journal SENTRI: Jurnal Riset Ilmiah Industrial Innovation
Totok Yulaidin
Universitas Bina Sehat PPNI Mojokerto
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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Pengaruh Budaya Organisasi terhadap Kinerja di CV. Sinar Mojokerto Totok Yulaidin
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 7 (2025): SENTRI : Jurnal Riset Ilmiah, Juli 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i7.4258

Abstract

This study aims to analyze the influence of organizational culture on employee performance at CV. Sinar Mojokerto. Organizational culture plays a vital role in shaping employee behavior and performance, especially through elements such as discipline, teamwork, work ethic, and a sense of responsibility. A strong and consistent culture is believed to foster a positive work environment that supports employee productivity. This research uses a quantitative approach with a survey method, involving 50 employees as respondents. Data were collected using a structured questionnaire and analyzed through simple linear regression to determine the strength and direction of the relationship between organizational culture and employee performance. The findings reveal that organizational culture has a positive and significant impact on employee performance. In particular, employees who perceive a strong culture of discipline and cooperation tend to demonstrate higher levels of effectiveness and responsibility in their work. The results suggest that by consistently implementing and strengthening organizational values, companies can enhance employee motivation, improve work outcomes, and achieve overall organizational goals more efficiently. Therefore, organizational culture should be seen not only as a supporting element but as a strategic factor in performance management and organizational development.
Modeling of women shoes sizing system based on 3D foot scanner result using machine learning approach Jamila Jamila; Eka Legya Frannita; Gilang Fatikhul Burhan; Windra Bangun Nuswantoro; Anwar Hidayat; Erlita Pramitaningrum; Totok Yulaidin
Industrial Innovation Vol. 2 No. 2 (2025): Industrial Innovation
Publisher : Politeknik ATK Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58533/aqn1f925

Abstract

Accurate shoe sizing plays a crucial role in ensuring comfort, performance, and consumer satisfaction, particularly for women whose foot shapes exhibit considerable anatomical variability. To address this challenge, this research proposes a data-driven modeling framework for developing a women’s shoe sizing system based on three-dimensional foot scanner data. The study was carried out through a systematic process consisting of data preprocessing, clustering using the K-Means algorithm, and evaluation of the clustering performance. The clustering analysis identified four optimal clusters within the dataset, representing distinct patterns in foot dimension measurements. The evaluation result, with a Silhouette Score of 0.25, indicates a moderate yet acceptable level of cohesion and separation among the clusters. These findings demonstrate that the proposed model can effectively capture the underlying structure of women’s foot morphology, providing a scientific foundation for establishing more accurate, customized, and ergonomically appropriate shoe sizing standards.
Co-Authors Anwar Hidayat Eka Legya Frannita Gilang Fatikhul Burhan Jamila Jamila Pramitaningrum, Erlita Pramitaningrum Windra Bangun Nuswantoro