<mets:mets OBJID="eprint_31757" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-07-05T22:22:18Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>EPrints Universitas Amikom Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_31757_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>ANALISIS PENCAPAIAN KINERJA MENGGUNAKAN&#13;
REGRESI LINIER DAN ARIMA &#13;
(Studi Kasus: KSP Credit Union Pancur Solidaritas)</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Martinus</mods:namePart><mods:namePart type="family">Safril</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Regresi linier dan ARIMA merupakan metode yang digunakan untuk &#13;
menentukan target program kerja organisasi dan digunakan dalam mengukur&#13;
pencapaian kinerja koperasi secara berkelanjutan. Penelitian ini bertujuan untuk&#13;
menganalisis pencapaian kinerja menggunakan regeresi linier dan ARIMA (Auto&#13;
Regressive Integrated Moving Average). Jenis penelitian menggunakan metode&#13;
kuantitatif deskriptif. Data penelitian berupa dokumentasi meliputi jumlah aset,&#13;
jumlah anggota, jumlah staf, sosialisasi, pencairan pinjaman, jumlah anggota&#13;
masuk, piutang dan lalai KSP Credit Union Pancur Solidaritas periode tahun 2019&#13;
-2024. Metode analisis data menggunakan uji regeresi linier dan ARIMA dengan&#13;
program Python. Hasil penelitian membuktikan bahwa metode ARIMA dapat&#13;
menghasilkan tiga skenario performa yang berbeda, yaitu upper performance&#13;
(performa tertinggi yang diantisipasi), predicted performance (performa yang&#13;
diprediksi), dan lower performance (performa terendah yang mungkin terjadi).&#13;
Metode Regresi Linier menunjukan korelasi yang cukup kuat antara variabel –&#13;
variabel yang mempengaruhi pertumbuhan anggota dan aset. Melalui hasil analisis&#13;
ini, organisasi diharapkan mampu memanfaatkan prediksi yang lebih akurat dalam&#13;
membuat keputusan strategis yang lebih baik, terutama dalam menghadapi&#13;
ketidakpastian pasar dan faktor-faktor eksternal yang berpotensi memengaruhi&#13;
kinerja perusahaan di masa mendatang.</mods:abstract><mods:classification authority="lcc">000 Ilmu komputer, informasi dan pekerjaan umum</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2025-07-04</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Universitas AMIKOM Yogyakarta;Pascasarjana Magister Informatika</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_31757"><mets:rightsMD ID="rights_eprint_31757_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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