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Spectrum of the m-Copy Cycle Graphs mC3, mC4, mC5 and mC6 Corry Corazon Marzuki; Farida Siska; Hardi Yanti; Ade Novia Rahma; Zukrianto Zukrianto
Jurnal Sains Matematika dan Statistika Vol. 12 No. 1 (2026): JSMS Januari 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v12i1.36489

Abstract

Pengaruh Lingkungan Kerja Terhadap Keterlibatan Kerja Karyawan Zukrianto Zukrianto; Hardi Yanti Hardi Yanti
Indonesian Council of Premier Statistical Science Vol. 3 No. 1 (2024): February 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v3i1.31627

Abstract

Lingkungan kerja merupakan suatu faktor yang secara tidak langsung mempengaruhi kinerja pegawai. Lingkungan kerja yang kondusif memberikan rasa aman dan memungkinkan para pegawai untuk dapat berkerja optimal. Kemudian, keterlibatan kerja diartikan sebagai suatu ukuran sampai dimana individu secara psikologis memihak pekerjaan mereka dan menganggap penting tingkat kinerja yang dicapai sebagai penghargaan diri yang mempunyai konsekuensi berupa hasil kerja, yang diantaranya adalah kinerja. Pengaruh lingkungan kerja terhadap keterlibatan kerja karyawan di UPT Perbenihan Tanaman Hutan DLHK Provinsi Riau dengan menggunakan Analisis Regresi Liner Sederhana. Metode Pengumpulan data dengan melakukan penyebaran kuesioner terhadap populasi dan sampel berjumlah 20 orang. Analisis data yang digunakan adalah analisis regresi linier sederhana. Dari hasil analisis diperoleh Fhitung lebih besar dari Ftabel, atau 1610,447">  lebih besar dari 16 4,41">  sehingga terlihat pengaruh lingkungan kerja terhadap keterlibatan kerja karyawan di UPT Perbenihan Tanaman Hutan DLHK Provinsi Riau.
Prediction of the Amount of Areca Nut Plantation Production in Riau Province Using the Single Exponential Smoothing Zukrianto Zukrianto; Melka Pratama Melka Pratama
Indonesian Council of Premier Statistical Science Vol. 4 No. 1 (2025): February 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v4i1.35598

Abstract

Data in this study was obtained from the Riau Provincial Plantation Office. This study aims to forecast areca nut plantation production in Riau Province in 2023. The data used is data obtained from the Riau Provincial Plantation Office in 2011-2022. Betel seeds are generally grown to be used for their seeds, areca nuts that are traded, especially those that have been dried, in a whole (round), split, and there is also by boiling to get the quality of areca nuts to be exported. Betel seeds have been used since hundreds of years ago as one of the mixtures of people eating betel nut in addition to gambier and lime. In addition, areca nuts are also used as industrial raw materials such as fabric dyes and medicines. The separation of areca nuts is carried out by splitting them using a knife or machete, drying them in the sun, then prying and drying them before selling them to collectors. The purpose of this study is to find out the results of predicting the number of areca nut production in Riau Province and find out the results of forecasting the number of areca nut production in Riau Province in 2023. The method used in this study is Single Exponential Smoothing. Based on the results of data processing from 2011 to 2022, the results of this forecast have a MAPE value with α = 0.7 in 2023 of 7.095371%. The results show that the Single Exponential Smoothing method has a good level of accuracy to predict the amount of areca nut production in Riau Province