Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal KOMPUTEK Jurnal Solutif: Jurnal Pengabdian Masyarakat
Nuha, Alvin Vikrun
Unknown Affiliation
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pendampingan Belajar Siswa Sekolah Dasar Negeri Jaddih 3, Kecamatan Socah, Bangkalan Melalui Abdimas Rumah Singgah KKN-T 18 UTM Nuha, Alvin Vikrun; Fausiyah, Iffah; Adji, Putri Firdha Rahma; Fadlillah, M.
Jurnal Solutif: Jurnal Pengabdian Masyarakat Vol 1 No 1 (2023): Januari - Juni 2023
Publisher : Yayasan Arrahman Nahdlatul Wathan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61692/solutif.v1i1.65

Abstract

Tujuan Rumah Singgah adalah untuk membantu siswa dalam mendampingi belajar bahasa inggris dan untuk memberdayakan Rumah Singgah belajar di Desa jaddih. Pengabdian ini dilaksanakan di salah satu kelas SDN Jaddih 3. Pembelajaran ini dilaksanakan setiap hari Jum'at jam 15.30 dan setiap hari minggu jam 09.00.
Peramalan Harga Saham PT Bank Central Asia Tbk (BBCA) Menggunakan Metode SARIMA Periode 2019-2024 Nuha, Alvin Vikrun; Herawati, Sri
KOMPUTEK Vol. 9 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v9i1.3056

Abstract

The Indonesian capital market has shown significant development with the number of investors reaching 10.32 million SID as of December 2023. However, stock investment still faces challenges in the form of unpredictable price fluctuations. This study aims to forecast the stock price of PT Bank Central Asia Tbk (BBCA) using the SARIMA method for the 2019-2024 period. The data used is sourced from Yahoo Finance spanning from January 2019 to January 2024. The analysis results show that the SARIMA model ((1,0,0),(0,0,0,12)) can be used to forecast BBCA stock prices. Based on the forecasting results for the next 30 days, BBCA's stock price shows an upward trend. This study also indicates that stock price movements are not only influenced by time factors but also other factors, so it is recommended for future research to use Multivariate Time Series analysis.
Co-Authors Adji, Putri Firdha Rahma Fadlillah, M Fausiyah, Iffah Sri Herawati