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
Mitra kegiatan pengabdian ini adalah Korwil Dikbud Kecamatan Bangkala Kabupaten Jeneponto yang mengkoordinir delapan Sekolah Menengah Pertama Negeri. Permasalahan mitra adalah: (1) kurangnya pengetahuan tentang manfaat Teknologi Informasi yang berakaitan dengan Manajemen Data Digital dan (2) belum ada kerjasama antara Sekolah dengan Google Suite for Education. Tujuan kegiatan ini adalah memberikan pelatihan dan pendampingan kepada delapan Sekolah Menengah Pertama Negeri di lokasi Mitra untuk melakukan perapian berkas melalui manajemen data digital di cloud menggunakan kerjasama dengan Google Suite for Education. Metode yang digunakan adalah metode hybrid learning yaitu: ceramah, demonstrasi, diskusi, tanya jawab, dan mitra pendamping baik langsung maupun secara virtual. Hasil yang dicapai adalah (1) mitra memiliki pengetahuan tentang manfaat Teknologi Informasi khususnya manajemen data digital dan (2) Delapan Sekolah mitra memiliki Drive Cloud bersama yang telah bekerjasama dengan Google Suite for Education.
Je’nemadinging village is one of the villages located in Pattalassang District, Gowa Regency. Since the existence of BUMDes in this area, all these transactions are only recorded when money comes in and money goes out with a simple count. BUMDes managers have never prepared financial reports as appropriate for a business-oriented entity. This is due to the lack of knowledge of managers because none of their educational backgrounds come from the economic sector. On the basis of the problems that occur with partners, this PKM program needs to be carried out. This PKM activity was carried out at the Je'nemadinging village office. The model used in the lecture method, tutorial method and discussion. The result of this PKM is that the BUMDes Management can make bookkeeping in the form of recording incoming and outgoing money in accordance with generally accepted rules. In addition, BUMDes management has understood the accounting for cash receipts, cash disbursements, sales and purchases to the preparation of financial reports
One of the large real time data storage sectors is in the marketing sector in the form of sales transactions, prices, and availability of goods stored in databases in certain supermarkets.The amount of supermarkets with the digital cash register system allow storing sales transaction data. Therefore this research aims to designed an application that contains two statistical analysis methods, namely Market Basket Analysis and Sales Forecasting using shiny dashboard package in Market Basket Analysis Menu shows various features that can facilitate businessactors in optimizing product layout in a store shelves i.e. summary products, rules table, scatter plot, graph, matrix and grouphed, and Parallel coordinats. While the sales forecasting menu shows various features i.e. a description of the number of stock items, the number of items sold, capital, profit, the highest frequency of goods sold, and the value of parameter predictions for the next periods.
LPPM/P3M adalah lembaga yang bertanggung jawab atas pengelolaan dan peningkatan riset dan pengabdian masyarakat yang dilakukan oleh sivitas akademika. Salah satu indikator penunjang kinerja riset yang terus ditingkatkan oleh LPPM/P3M adalah jurnal ilmiah. LPPM/P3M terus berupaya agar seluruh jurnal yang ada di Kampus mereka mampu meraih akareditasi dari DIKTI dan terindeks di database internasional besar seperti SCOPUS dan Thomson Reuters. Sebagai upaya peningkatan kualitas pengelolaan jurnal di lingkungan Perguruan Tinggi Swasta, LPPM/P3M akan mengadakan workshop bertajuk “Manajemen Tata Kelola Jurnal dan Pelatihan Penggunaan OJS Versi 3” untuk menyiapkan jurnal-jurnal akreditasi nasional dan selanjutnya terindeks dalam database internasional pada Tiga Perguruan Tinggi Swasta yang menjadi objek pengabdian yaitu STIEM Bongaya, STKIP Muhammadiyah Bone, dan Universitas Atmajaya Makassar.
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