K-Means And K-Medoids Algorithms For Food Clusterization Optimized By Nutritional Value

Wildani  Eko Nugroho; Safar Dwi Kurniawan; Prayoga  Alga Vredison; Hasbi  Firmansyah

doi:10.46729/ijstm.v6i4.1327

Wildani Eko Nugroho D3 Computer Enginering Program Study, Politeknik Harapan Bersama, Tegal, Indonesia
Safar Dwi Kurniawan D3 Computer Enginering Program Study, Politeknik Harapan Bersama, Tegal, Indonesia
Prayoga Alga Vredison D3 Computer Enginering Program Study, Politeknik Harapan Bersama, Tegal, Indonesia
Hasbi Firmansyah Informatika, Universitas Pancasakti, Tegal, Indonesia

DOI: https://doi.org/10.46729/ijstm.v6i4.1327

Keywords: K-Means; K-Medoids; Nutrition and Clustering.

Abstract

This study examines the impact of flexible work arrangements on productivity in start-up companies located in Bandung Techno Park, using work-life balance as a mediating variable. With a sample size of 168 start-up company members in Bandung Techno Park (BTP), this study uses a probability sampling technique. This study uses quantitative research techniques and structural equal modeling (SEM) based on partial least squares (PLS-SEM) for data analysis. Based on the results of the study, work-life balance and increased productivity are greatly enhanced by flexible work arrangements. The mediating variable of work-life balance acts as a mediator between productivity and flexible work schedules. The findings of this study can be a guide for business management who want to increase the productivity of start-up companies through work arrangement solutions that support work-life balance.

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