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Multi Attribute Utility Theory (MAUT) Method of Decision on The Selection of the Head of Study Program Digital Business Aldo, Dasril; Army, Widya Lelisa; Syafrinal, Ilwan
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1389

Abstract

The head of the study program is the spearhead of success in a study program. So a head of a study program is required to have good leadership and management skills in order to be able to carry out his duties and functions correctly. The problem that arises is that the appointment of a head of a study program is often carried out not looking at some aspects or criteria, usually the appointment is subjective and based on how long he has been a lecturer in the study program. Even though the appointment of a study program head must be seen from many aspects and criteria, this is done because if you appoint a study program head who is not competent, it can result in not running well with the study program he leads. The criteria used in this research are Functional Position, Education, Working Period, Research, PKM Activities, Supporting Activities and Lecturer Achievement. To overcome this problem, a decision support system with the MAUT method is the right solution to use. The advantage of the MAUT method is that the calculation and decision-making process is faster because it can directly calculate the final evaluation value without the need to compare the importance weight values between criteria. This method will process the criteria values of each candidate so that the results will be more objective. In this study, the number of alternatives used was 6 data on the value of the prospective head of the study program. Based on the MAUT process, a decision was obtained that the chosen head of the digital business study program was a Candidate-01 lecturer with a value of 1.0. 
Sistem Peramalan Persediaan Sparepart Menggunakan Metode Weight Moving Average dan Reorder Point Cindy Ameilia Suhendra; Marsani Asfi; Widya Jati Lestari; Ilwan Syafrinal
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i2.1052

Abstract

SM Teknik menjual sparepart sepeda motor, perkakas teknik, perkayuan serta jasa perbaikan mesin pertukangan dan mesin bubut corer. SM Teknik mengalami kesulitan dalam mempredikasi jumlah persediaan sparepart untuk pengadaan kembali. Data historis penjualan SM Teknik selama ini masih terdata dengan pencatatan manual. Oleh karena itu perlu dikembangkan suatu sistem berbasis komputer. Pengembangan sistem berbasis komputer menggunakan metode waterfall dengan tahapan analisis sistem, desain sistem, implementasi sistem dan pengujian sistem. Sistem dibangun dengan bahasa pemrograman PHP dengan DBMS mySQL. Metode peramalan menggunakan metode weighted moving average (WMA) untuk prediksi jumlah stok sparepart yang harus dibeli untuk periode selanjutnya. Penentuan batas aman persediaan menggunakan metode Reorder Point (ROP). Data historis dalam penelitian ini adalah data aktual penjualan sparepart dari bulan Januari sampai dengan Desember 2018. Hasil peramalan sparepart untuk produk KLEP SET HGLPRO NEOTECH untuk bulan Januari 2019 adalah sebanyak 24. Sedangakan untuk validasi hasil peramalan diperoleh nilai Mean Absolute Deviation sebesar 4.11 dan nilai tracking signal -0.81 artinya nilai data aktual permintaan lebih kecil dari nilai hasil peramalan, ditunjukkan dengan nilai negatif. Sehingga disimpulkan bahwa sistem peramalan ini telah teruji dengan data dan diperoleh nilai ramalan yang baik.