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All Journal JURNAL SISTEM INFORMASI BISNIS Journal of Applied Science, Engineering, Technology, and Education Insan Cita Bongaya Research Journal Jurnal Ilmiah Bongaya (JIB)
Data, Umar
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Aplikasi Auto Sales Forecasting Berbasis Computational Intelligence Website untuk Mengoptimalisasi Manajemen Strategi Pemasaran Produk Bakri, Rizal; Data, Umar; Astuti, Niken Probondani
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1954.6 KB) | DOI: 10.21456/vol9iss2pp244-251

Abstract

Business analytics plays an important role in optimizing the management of product marketing strategies. One of the most popular analytical tools in business analytics is sales forecasting. Businesses need to conduct sales forecasting to optimize marketing management in the form of product availability predictions, predictions of capital adequacy, consumer interest, and product price governance. However, the problem that is often encountered in forecasting is the number of forecasting methods available so that it makes it difficult for business people to choose the best forecasting method. The aims of this research is to develop a forecasting software tha can be accessed online based on computational intelligence, which is a software that can make forececasting with various methods and then intelligently choose the best forecasting method. The software development method used in this study is the SDLC with waterfall model. The result of this research is the Auto sales forecasting software was developed using the R programming language by combining various package and can be accessed online through the page Http://bakrizal.com/AutoSalesForecasting. This software can be used to conduct forecast analysis with various methods such as Simple Moving Average, Robust Exponential Smoothing, Auto ARIMA, Artificial Neural Network, Holt-Winters, and Hybrid Forecast. This software contains intelligence computing to choose the best forecasting method based on the smallest RMSE value. After testing the sales transaction data at the Futry Bakery & Cake Shop in Makassar, the results show that the Robust Exponantial Smoothing method is the best forecasting method with an RMSE value of 0.829  
Marketing Research : The Application of Auto Sales Forecasting Software to Optimize Product Marketing Strategies Bakri, Rizal; Data, Umar; Saputra, Andika
Journal of Applied Science, Engineering, Technology, and Education Vol. 1 No. 1 (2019)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (985.508 KB) | DOI: 10.35877/454RI.asci1124

Abstract

The aims of this study is to apply the Auto Sales Forecasting software to predict sales transaction data. The Auto Sales Forecasting software consists of two main features namely descriptive analysis and forcasting features along with its visualization. Forecasting methods contained in the Auto Sales Forecasting application are forecasting methods of Simple Moving Average, Robust Exponantial Smoothing, Auto ARIMA, Artificial Neural Network, Holt-Winters, and Hybrid Forecast. The Auto Sales Forecasting software can intelligently choose the best forecasting method based on RMSE values. The results showed that the Auto Sales Forecasting software successfully analyzed the sales transaction data. From the analysis it was found that there were 43 types of products produced and sold by the Futry Bakery & Cake Store. Three of them are the types of products that are most in demand by consumers, namely Sweet Bread, Maros Bread, and Traditional Cakes 3500. The best selling product type, Sweet Bread, is used to build forecasting models. The best forecasting method is the Robust Exponential Smoothing method with the smallest RMSE value of 0.83 on the variable number of sold out products. Forecasting results using the Robust Exponantial Smoothing method show that the average number of products to sell for the next seven days ranges from 116 products with a certain confidence interval value.
Pengaruh Kompetensi Komunikasi dan Iklim Komunikasi Terhadap Motivasi Kerja Pegawai Data, Umar; Didit Fachri Rifai
Insan Cita Bongaya Research Journal Vol. 2 No. 1 (2022): Oktober
Publisher : Insan Cita Bongaya Research Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70178/icbrj.v2i1.41

Abstract

Penelitian ini untuk menganalisis pengaruh kompetensi komunikasi dan iklim komunikasi terhadap motivasi kerja pegawai Biro Umum Sekretariat Daerah Provinsi Sulawesi-Selatan. Penelitian ini menggunakan metode survey melalui koesioner dengan populasi penelitian adalah seluruh pegawai yang berjumlah 152 orang dengan teknik penentuan sampel menggunakan slovin berjumlah 110 orang. Teknik analisa data menggunakan analisis regresi dengan menggunakan SPSS 25. Hasil Penelitian menunjukkan kompetensi komunikasi tidak berpengaruh terhadap motivasi kerja dan iklim komunikasi berpengaruh signifikan terhadap motivasi kerja, sedangkan variabel iklim komunikasi berpengaruh paling dominan. Penulis menyarankan agar pimpinan Biro Umum Sekretaris Daerah Provinsi Sulawesi – Selatan mengupayakan terciptanya iklim komunikasi yang baik sehingga dapat lebih meningkatkan motivasi kerja pegawai.
Return On Asset , Return On Equity Dan Net Profit Margin dan Pengaruhnya Terhadap Harga saham Data, Umar; qalby, Nur
Jurnal Ilmiah Bongaya Vol. 5 No. 1 (2021): Juni 2021 : Jurnal Ilmiah Bongaya
Publisher : P3M STIEM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak :PenelitianeiniebertujuannuntukiemengetahuieapakahePengaruheReturneOneAsset (ROA),eReturneOneEquitye(ROE)edaneNeteProfiteMargine(NPM)eTerhadapiHargaiiSahamiPadae PerusahaaneSubeSektorrFarmasieoYangeTerdaftarecdiecBEI. Pengumpulaneidata menggunakanedataesekunder. Populasieyangedigunakanediperolehidariilaporanikeuangan, sedangkanesampeleiyangedigunakaneadalah 45 data di peroleh dari jumlahesampel penelitian 9 perusahaan dikalie5eTahun.”Metodeeanalisiseyangidigunakaniadalahianalisis regresi liniereberganda, dilengkapisdenganeuji asumsisklasik,eautorelasi,imultikolonieritas, dan heteroskedastisitas. HasileepenelitianeeimenunjukkaneeiPengaruhhReturnnoOniAssete(ROA),eiReturrOn Equityr(ROE)edanoNetiProfitoMargine(NPM) berpengaruhuinegatif dan tidakeisignifikan terhadapeihargaesaham.
Co-Authors ANDIKA SAPUTRA Astuti, Niken Probondani Didit Fachri Rifai Nur Qalby, Nur Rizal Bakri