Article Per Year (5 Year)
p-Index From 2021 - 2026
3.965
P-Index
This Author published in this journals
All Journal Jurnal Gaussian Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Kreativitas PKM JURNAL PANGAN Jurnal Informatika dan Rekayasa Elektronik Jurnal Keluarga Berencana Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Al-Muqayyad Mitra Ash-Shibyan: Jurnal Pendidikan dan Konseling Unri Conference Series: Community Engagement Parameter: Journal of Statistics International Journal of Industrial Engineering and Engineering Management Journal of Community Engagement Research for Sustainability Sagu VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Ilmiah Niagara Jurnal Statistika Terapan (JSTAR)
Anne Mudya Yolanda
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : al-muqayyad

 1 
Peramalan Data dengan Teknik Pemulusan Simple Moving Average (Studi Kasus Harga Saham Harian PT Bank BRI Syariah Tbk) Anne Mudya Yolanda; M. Ridhwan
AL-Muqayyad Vol. 3 No. 2 (2020): Al-Muqayyad
Publisher : STAI Auliaurrasyidin Tembilahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46963/jam.v3i2.195

Abstract

Time series analysis is used to model time series data and forecast data for future periods. This research was conducted to predict data with a simple smoothing technique, namely the Simple Moving Average of PT Bank BRI Syariah Tbk's stock closing price data. The closing price of shares was analyzed using three average criteria, namely 3, 5, 20, and 100 of the most recent data. Comparison of accuracy with SSE, MSE, and MAPE showed that the best in predicting daily stock closing price data was the Simple Moving Average using the latest 3 data with a prediction result for the future period of Rp. 748, -.
Analisis Komponen Utama dan Biplot untuk Mereduksi Faktor Inflasi Berdasarkan Indeks Harga Konsumen Anne Mudya Yolanda; Arisman Adnan; Rustam Efendi; Haposan Sirait; Irfansyah Irfansyah; Okta Bella Syuhada; Rahmad Ramadhan Laska; Riko Febrian
AL-Muqayyad Vol. 5 No. 2 (2022): Al-Muqayyad
Publisher : STAI Auliaurrasyidin Tembilahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46963/jam.v5i2.766

Abstract

Inflation of a region can be measured from the Consumer Price Index (CPI) by spending group. The aim is to look at the factors that influence monthly inflation based on the CPI for 2021. Principal Component Analysis is used to reduce the expenditure group variables in the CPI, followed by biplot analysis to display the visualization of the first two main components of the PCA in a two-dimensional graph. The results of the main component analysis, (1) the primary expenditure component consists of housing, water, electricity and household fuel variables; equipment, tools and household routine maintenance; transportation; information, communication and financial services; recreation, sports and culture, (2) secondary expenditure components include food, drink and tobacco variables; health; education; general, and (3) complementary expenditure components, namely clothing and footwear variables; personal equipment and other services. These three components simultaneously can represent 88.1% of the diversity of the data. Biplot analysis succeeded in describing the similarity and position of the variables with a total variance of 75%
Co-Authors Achmad Isya Alfassa Adia Syaputri Agung Satrio Wicaksono Agung Satrio Wicaksono Agus Kurniawati Althoff Hibban Andriani, Yulia Arisman Adnan Ayu Agustiani Azra Aulia Dwiputri Bustami Bustami Bustami Dewi, Ratna Mustika Dimas Abyan Fatkhin Al-Aswad Ecelly Indriani Putri Eva Eriani Fandi Gusriyanda Febrianti, Lusi Finda, Ingla Goldameir, Noor Ell Gumanti Gunawan, Chandra Gustriza Erda Haposan Sirait Haposan Sirait Imtikhanah Anis Mahmudiati Indra, Zul Irfansyah Irfansyah Isti Yuliani Kristiana Yunitaningtyas Lafina, Melanie Maria M. Ridhwan M. SYIFA RAMADHAN Mulya, Ridho Tri Musraini M Noor Ell Goldameir Nopiani, Yanti Nurhaliza Nurhannifah Rizky Tampubolon Nurul Imani Nusantri Purba Okta Bella Syuhada Okta Bella Syuhada Putri Sion Cahayana Rahmad Ramadhan Laska Raudatul Yusra Ridho Tri Mulya Riko Febrian Rustam Efendi Rustam Efendi Safitri, Nuraini Sarasmita Apriyenti Savira, Husna Septya, Fanny Siti Farika Sari SITI SUHAILA Sukamto Syaftiani Dwi Astuti Syamsudhuha Syamsudhuha Syamsudhuha T, Masrina Munawarah T, Nurhannifah Rizky Tata, Tata Thahira, Nisha Thearas, Lia Tira Mei Darnis Titi Solfitri Windy Maya Sari Wulansuci, Trivira Yelmira Zalfiatri Yenita Roza Zahra, Lathifah