The development of information technology is currently developing rapidly. The use of information technology is very broad in various fields of life. The choice of boarding house is one of the things that is not easy to do. The problem often faced when choosing a boarding house is that boarders find it difficult to get information about boarding houses. Decision support system is a method that helps in making decisions on a particular problem, where no one can make a definite decision. Multi Attribute Utility Theory (MAUT) is a method of decision making. MAUT is a method where looking for weighted sums of the same values in each utility in each attribute. By applying the MAUT method in the selection of boarding houses, it can give good suggestions or recommendations on boarding houses.
<p><em>Job promotion is an activity in managing human resources that has an important role in improving employee performance at work. Promoting employees is needed. The process of giving the right promotion must choose the best of the good. Decision actions taken to promote decisions for employees must be approved and the competencies required by the company. Decision support system is a method in making decisions about a particular problem. Multi Attribute Utility Theory (MAUT) is a method of decision making. Where this method performs the process of finding the number of weights of the values that exist in each attribute that produces the final result with the highest value. By applying the method, MAUT is expected to be able to help easily determine the selection of employees for the promotion of selection appropriately</em><em></em></p>
<p><em>PT. Palmanco Inti Sawit adalah perusahaan yang bergerak di bidang produksi dan penjualan hasil olahan sawit. Namun ada beberapa kendala yang dihadapi oleh perusahaan yaitu sistem yang berjalan masih tergolong semi komputerisasi dalam proses penentuan prediksi penanaman bibit kelapa sawit dan pembuatan laporan prediksi penanaman bibit kelapa sawit membutuhkan waktu yang cukup lama Karena sistem yang berjalan pada perusahaan masih kurang akurat atau tergolong semi komputerisasi. Kendala yang dihadapi oleh PT. Palmanco Inti Sawit adalah bagian lapangan harus mendata satu persatu hasil panen sawit yang terjadi sehingga kurang akurat dalam penentuan perhitungan prediksi penanaman bibit kelapa sawit, dan proses perhitungan prediksi pembibitan kelapa sawit masih menggunakan perhitungan sederhana yaitu dengan menggunakan aplikasi Microsoft excel, sering terjadi kesalahan dalam perhitungan prediksi dan jumlah penanaman bibit kelapa sawit tidak sinkron dengan data pembibitan kelapa sawit sesungguhnya, yang menjadi bahan penelitian penulis adalah data penanaman bibit sawit periode tahun 2019 sampai dengan April 2020. Dibutuhkan metode dalam perhitungan prediksi pembibitan kelapa sawit ke periode berikutnya sehingga dapat mempermudah bagian pembibitan dalam menentukan jumlah bibit yang akan diperlukan pada periode yang akan datang serta dalam pembuatan laporan prediksi pembibitan penanaman bibit kelapa sawit dapat diperoleh dengan efektif. </em></p>
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