Implementasi Metode Trend Moment (Peramalan) Mahasiswa Baru Universitas Widyagama Malang

Abstract

Admission of a new student is one of the processes that exist in educational institutions such as universities that are useful for screening prospective students who are selected according to the criteria determined by the university. In general, the process of admission is done through the stages of registration, file selection and the announcement of student acceptance. Stage of the admissions process is also done by Universitas Widyagama Malang. Appropriate promotional methods and strategies are needed so that the number of students can increase every year, methods and strategies can be developed using new student data. The Moment Trend method uses statistical and mathematical calculations. Moment trend method is a method of analysis that can be used for forecasting purposes by forming the equation Y = a+bX. The purpose of this research is to make Application of Trend Moment Method (Forecasting) of New student at Universitas Widyagama Malang. Forecasting application using trend moment method can be used to predict the number of a new student in Universitas Widyagama Malang in the next coming period and also this forecasting application can facilitate officers at the Universitas Widyagama Malang to detrmine and know the number of a new students who will come. This application has an accuracy of 98.25%

Tingkat Peramalan Penjualan Produk Bordir dan Sulaman Menggunakan Metode Trend Moment

“…Persaingan di bidang bisnis di era globalisasi saat ini yang semakin ketat membuat beberapa perusahaan atau toko untuk mendorong para karyawannya untuk dapat memenuhi target penjualan. Penjualan adalah proses sosial manajerial dimana individu dan kelompok mendapatkan apa yang mereka butuhkan dan inginkan, menciptakan, menawarkan, dan mempertukarkan produk yang bernilai dengan pihak lain [1].…”

Prediksi Tingkat Kedatangan Wisatawan Asing Menggunakan Metode Backpropagation (Studi Kasus: Kepulauan Mentawai)

“…Dalam jaringan ini diimplementasikan algoritma Backpropagation. Algoritma ini merupakan model JST yang mempunyai kemampuan dalam mendapatkan keseimbangan antara kemampuan mengenali pola dan memberikan respon yang benar [16][17] [18].…”

Trend Moment Method for predicting Multimedia Equipment Rental Needs

“…Beberapa penelitian terkait dengan peramalan dengan menggunakan metode trend moment telah banyak dilakukan. Peramalan terhadap penerimaan mahasiswa baru, penelitian ini memberikan hasil akurasi sebesar 98,25% [3]. Metode trend moment dan simple moving average untuk peramalan penjualan ayam broiler, metode trend moment memberikan hasil mean absolute percentage error tertinggi 4,08% dan terendah 36,12%, sedangkan simple moving average memberikan hasil mean absolute percentage error tertinggi 3,25% dan terendah 23,12% [4].…”