Noviadry Nur Tamtama
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Analisis Peramalan Permintaan Melalui Metode Moving Average, Weighted Moving Average dan Exponential Smoothing (Studi Kasus Pada Exist Auto Detailing) Noviadry Nur Tamtama; Rahmawati Riantisari
Primanomics : Jurnal Ekonomi & Bisnis Vol. 22 No. 1 (2024): Primanomics : Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/pe.v22i1.2685

Abstract

Prediksi permintaan terhadap barang maupun jasa sangat dibutuhkan, karena akan berimbas pada pengelolaan persediaang barang yang dapat mendukung jalannya proses produksi jasa maupun barang. Kajian ini memiliki tujuan, membantu Exist Auto Detailing untuk meramalkan permintaan cuci mobil periode Desember 2023. Observasi ini bersifat kuantitatif dengan menggunakan data primer dan data sekunder. Alat analisis yang digunakan melalui metode moving average, weighted moving average dan exponential smoothings dengan pengujian keakuratan peramalan melalui MAD, MSE dan MAPE. Hasilnya metode moving average memprediksi 28 permintaan dengan nilai MAD 5,35, MSE 58,42 dan MAPE 22,41%. Weighted moving average meramalkan 29 permintaan, nilai MAD 5,13 nilai MSE 51,71 dan MAPE 21,41%. Exponential smoothings meramalkan 28 permintaan melalui prediksi keakuratan MAD 7,09 nilai MSE 87,21 dan MAPE 28,65%. Kesimpulannya dari ketiga metode tersebut yang paling layak digunakan untuk peramalan permintaan cuci mobil Desember 2023 ialah metode Weighted moving average karena memiliki nilai keakuratan yang paling baik dibandingkan 2 metode lainnya dilihat dari nilai MAD, MSE dan MAPE yang rendah. Sehingga kemunkinan kesalahan peramalan cukup minim.
The Role of Relationship Marketing on Student Loyalty in Using Marketplace Applications Noviadry Nur Tamtama; Rahmawati Riantisari
Primanomics : Jurnal Ekonomi & Bisnis Vol. 22 No. 2 (2024): Primanomics : Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/pe.v22i2.2801

Abstract

The development of e-commerce in Indonesia is increasingly rapid. This development has an impact on very tight competition not only in almost all industries in the Indonesian economy, including the Micro, Small and Medium Enterprises (MSME) sector which sells products or services online, but also competition between companies providing marketplace platforms or applications. . The aim of this research is to assess the impact of customer satisfaction and increasing customer satisfaction on loyalty. This research is quantitative. Sampling was based on certain criteria, namely students in Yogyakarta who used marketplace applications. The sample size was taken using the Cochran formula. So a sample of 350 students was obtained. Data collection through questionnaires accommodated via Google Form. The data that has been collected is then subjected to initial testing, namely validity, reliability, basic assumption test and classical assumption test. After the data is deemed appropriate, the research hypothesis is then tested using a multiple regression test. The result is that customer satisfaction influences student loyalty in using marketplace applications by looking at a significance value of less than 0.05. Increasing customer satisfaction influences student loyalty in using the Marketpalace application as evidenced by a significance value of less than 0.05. The coefficient of determination test result is 0.566, meaning that customer satisfaction and increasing customer satisfaction can have an impact on loyalty of 56.6%. The researcher's suggestion for further research is to look for other variables that have a big influence on loyalty.