Analisis Data Operasional Untuk Prediksi Peningkatan Produktivitas Dan Pengambilan Keputusan Bisnis Di Perusahaan Kecil

sulistyowati, Niken and Nastiti, Rahmah Lidya (2026) Analisis Data Operasional Untuk Prediksi Peningkatan Produktivitas Dan Pengambilan Keputusan Bisnis Di Perusahaan Kecil. Project Report (Praktek Kerja Lapang dan Magang). UPN Veteran Jawa Timur, UPN Veteran Jawa Timur. (Unpublished)

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Abstract

Small businesses often face challenges in increasing productivity and making the right business decisions due to limited resources and access to accurate information. One solution that can be used to overcome these problems is to utilize operational data available in the company. Operational data includes various information generated from daily business processes, which can be analyzed to provide strategic insights related to operational efficiency and effectiveness. This study aims to analyze how operational data can be used to predict productivity improvements and support business decision making in small businesses. With a data analysis approach, small businesses can get a clearer picture of market trends, internal efficiencies, and consumer behavior patterns that will help in making more precise and data-based decisions. The results of this study are expected to provide practical guidance for small businesses to optimize the use of operational data in order to improve their competitiveness and business sustainability.

Item Type: Monograph (Project Report (Praktek Kerja Lapang dan Magang))
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorMuhaimin, AmriNIDN0023079502amri.muhaimin.stat@upnjatim.ac.id
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA76.6 Computer Programming
Divisions: Faculty of Computer Science > Departemen of Data Science
Depositing User: NIKEN SULISTYOWATI
Date Deposited: 20 Jul 2026 06:48
Last Modified: 20 Jul 2026 06:48
URI: https://repository.upnjatim.ac.id/id/eprint/55697

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