Komharudin Komharudin*
Program Pasca Sarjana Komputer Management, STMIK LIKMI STMIK Amik Bandung Kota Bandung

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Implementation of Decision Tree Algorithm for Predicting Prices and Units Sold at XYZ Auction House using Rapidminer Application Komharudin Komharudin*; Dewangga Bayu Putra; Christina Juliane
Riwayat: Educational Journal of History and Humanities Vol 6, No 3 (2023): Social, Political, and Economic History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v6i3.33769

Abstract

Data mining aims to obtain important information that can provide added value from very large data. Classification is a technique in data mining to classify data based on data attachment to sample data. Classification can be used in one of the areas of sale in this case is the auction hall. The purpose of this study was to predict the number of units sold (sold) and unsold (unsold) at company XYZ with a sample of four-wheeled vehicles and criteria, namely brand, year of publication, engine grade, and price. to predict the number of units sold and unsold and can be used for other companies as a consideration. The results of the accuracy of the decision tree classification is 68.71%, with a total data of 4,714 data.
Implementation of Decision Tree Algorithm for Predicting Prices and Units Sold at XYZ Auction House using Rapidminer Application Komharudin Komharudin*; Dewangga Bayu Putra; Christina Juliane
Riwayat: Educational Journal of History and Humanities Vol 6, No 3 (2023): Social, Political, and Economic History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v6i3.33769

Abstract

Data mining aims to obtain important information that can provide added value from very large data. Classification is a technique in data mining to classify data based on data attachment to sample data. Classification can be used in one of the areas of sale in this case is the auction hall. The purpose of this study was to predict the number of units sold (sold) and unsold (unsold) at company XYZ with a sample of four-wheeled vehicles and criteria, namely brand, year of publication, engine grade, and price. to predict the number of units sold and unsold and can be used for other companies as a consideration. The results of the accuracy of the decision tree classification is 68.71%, with a total data of 4,714 data.
ANALISIS KUALITAS PELAYANAN MELALUI METODE E-SERVQUAL UNTUK MENGETAHUI KEPUASAN KONSUMEN E-COMMERCE SHOPEE PADA MASYARAKAT KOTA SUKABUMI Komharudin, Komharudin; Firman, Arief; Nurapipah, Dina
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. 2 (2021): FairValue : Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.751 KB) | DOI: 10.32670/fairvalue.v4i2.643

Abstract

This study aims to determine the analysis of service quality on Shopee customer satisfaction in Sukabumi City. This study uses a service quality model, namely E-ServQual which has seven dimensions, namely, efficiency, reliability, fulfillment, privacy, responsiveness, compensation, and contact. This study uses quantitative methods. The data collection technique used is by distributing questionnaires to obtain primary data, while secondary data is obtained from literature studies. This questionnaire consists of consumer perceptions and expectations. The tests carried out are validity tests and reliability tests which are then carried out by calculating the gap. The calculation results show that the seven dimensions have a negative gap value with three dimensions with the largest gap value, namely the dimensions of compensation, fulfillment and responsiveness, this means that service quality has not met shopee customer satisfaction. The results of this study indicate that the research results contribute to the quality of shopee services in Indonesia and customer satisfaction can be used as input or consideration in developing strategies in the future
KEPUASAN PELANGGAN doank, Komharudin
ECONEUR (Journal of Economics and Entrepreneurship) Vol 13, No 2 (2024): Volume 13, Nomor 2, Desember 2024
Publisher : ECONEUR (Journal of Economics and Entrepreneurship)

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Abstract

Kepuasan kerja merupakan faktorpenting dalam meningkatkan produktivitas dan retensi karyawan dalam sebuah organisasi. Penelitian ini bertujuan untuk menganalisis tingkat kepuasan karyawan di PT Glostar Indonesia berdasarkan berbagai aspek seperti lingkungan kerja, hubungan dengan atasan dan rekan kerja, sistem kompensasi, peluang pengembangan karier, serta keseimbangan kerja dan kehidupan pribadi. Data diperoleh melalui kuisioner yang disebarkan kepada karyawan PT Glostar Indonesia. Hasil analisis menunjukkan bahwa mayoritas karyawan merasa puas dengan lingkungan kerja dan hubungan interpersonal, namun terdapat beberapa aspek yang perlu diperbaiki, seperti kesempatan pengembangan karier dan beban kerja yang sesuai. Oleh karena itu, penelitian ini merekomendasikan perbaikan pada aspek pengembangan karierdan sistem kompensasi guna meningkatkan kepuasan kerja karyawan.