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Sensitivity of MAPE using detection rate for big data forecasting crude palm oil on k-nearest neighbor Al Khowarizmi; Rahmad Syah; Mahyuddin K. M. Nasution; Marischa Elveny
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i3.pp2696-2703

Abstract

Forecasting involves all areas in predicting future events. Many problems can be solved by using a forecasting approach to become a study in the field of data science. Forecasting that learns through data in the light age is able to solve problems with large-scale data or big data. With the big data, the performance of the k-Nearest Neighbor (k-NN) method can be tested with several accuracy measurements. Generally, accuracy measurement uses MAPE so it is necessary to conduct sensitivity on MAPE by combining it with the detection rate which is the difference technique. In addition, the k-NN process has been developed for the sake of running sensitivity by performing normalized distance using normalized Euclidean distance so that in this paper using the crude palm oil (CPO) price dataset, it is able to forecast and become a future model and apply it to Business Intelligence and analysis. In the final stage of this paper, the accuracy value in doing big data forecasting on CPO prices with MAPE is 0.013526% and MAPE sensitivity combined with a detection rate of 0.000361% so that future processes using different methods need to involve detection rates.
Utilization of Information Technology as a Marketing Medium for Agricultural Products at BUMDes Liang Muda STM Hulu Deli Serdang Syahril Efendi; Marischa Elveny; Fahrurrozi Lubis; Fauzan Nurahmadi; Ivan Jaya
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i1.8580

Abstract

The use of ICT has penetrated into various sectors including in the field of government at the village level, both in village information management as well as village-owned businesses in the form of Badan Usaha Milik Desa (BUMDes). Efforts to run BUMDes in a professional manner have not been carried out properly due to limited human resources in managing BUMDes especially the use of ICT in efforts to increase BUMDes income. This is experienced by BUMDes Liang Muda Village. The method of implementing community service activities consists of problem analysis, website analysis and development, website testing, socialization and training on website use, evaluation and exchange of opinions. The community service team facilitates the creation of village websites and provides assistance to village officials in managing and utilizing it for information dissemination and village promotion. The existence of a village website for the needs of BUMDes can facilitate the dissemination of information in the village so that it can be known by the wider community. Development of a website follow the development of the situation can be carried out in the future to support the BUMDes of Liang Muda Village so that it can be used to help the village community's economy.