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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Muhasabatuna: Jurnal Akuntansi Syariah
Muthia Putri Awalia
Universitas Cenderawasih
Humanities Economics, Econometrics & Finance Education Health Professions Public Health

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Fundamental Analysis and Stock Price Forecasting Using the Autoregressive Integrated Moving Average Method at PT AKR Corporindo Tbk Novelyarosa Ambar Chelsea Pailah; Muthia Putri Awalia; Riene Elisabeth Infasye Womsiwor; Salsabila Farsya Fadhilah Hairuddin; Radian Januari Situmeang; Kurniawan Patma
Muhasabatuna : Jurnal Akuntansi Syariah Vol. 8 No. 1 (2026): Juny
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat Institut Agama Islam syarifuddin Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54471/muhasabatuna.v8i1.3930

Abstract

This research basically aims to see where AKRA's stock price will move in the future, and the tool chosen to answer that is the ARIMA statistical method, which stands for Autoregressive Integrated Moving Average. The research has two goals: first, to build the most suitable model, and second, to use that model to predict AKRA's stock price, so investors aren't too in the dark when making decisions. The data used is sourced from Yahoo Finance, specifically the daily closing prices of AKRA stock ranging from 2021 to 2026. That time span is actually enough to capture various dynamics that occur, and the format in the form of a time series is perfect to be used as material for analyzing this model. The preparation steps themselves are not short; there are several stages that must be passed one by one and cannot be skipped carelessly. Initially, the data is checked to see if it is stationary or not through the ADF test. From there, the ACF and PACF charts are examined to read patterns and determine a reasonable model structure. To determine which model is the best, the reference is the AIC value. After selecting the model, the residuals are not immediately ignored; they are checked again through diagnostic tests to ensure nothing is overlooked. All of this is done in RStudio. The hope is that from this rather convoluted process, this study can provide a fairly clear picture of future AKRA price trends, through a valid ARIMA model that can be relied upon for projections over several upcoming periods.
OPTIMALISASI TATA KELOLA KEUANGAN BUMKAM KARYA TRAIMELYAN SEJAHTERA KABUPATEN KEEROM Muthia Putri Awalia; Erine Valery Sahureka; Vitius Wenda; Timotius Maxi Syufi; Yairus Nabyal; Armince Buliwal; Wilhelmina Y Gobay; Erny Riana Wafumilena
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 4 (2026): Inpress Vol. 7 No. 4 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i4.62164

Abstract

Badan Usaha Milik Kampung (BUMKam) Karya Traimelyan Sejahtera di Kampung Traimelyan, Distrik Skanto, Kabupaten Keerom menghadapi kendala dalam pengelolaan administrasi keuangan yang disebabkan oleh keterbatasan kompetensi pengurus dalam penyusunan laporan keuangan serta belum optimalnya pemanfaatan sistem pembukuan berbasis digital. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas pengurus BUMKam dalam pengelolaan administrasi dan pelaporan keuangan melalui pelatihan serta pendampingan penggunaan Aplikasi Pembukuan Pengelolaan Administrasi Keuangan (PPAK) 4.2 berbasis Microsoft Excel. Metode pelaksanaan menggunakan pendekatan partisipatif yang dipadukan dengan asesmen lapangan, analisis prioritas masalah menggunakan metode Urgency, Seriousness, and Growth (USG), penyampaian materi mengenai administrasi dan sistem pelaporan keuangan BUMKam oleh narasumber dari Balai Pelatihan dan Pemberdayaan Masyarakat dan Desa Daerah Tertinggal (BPPMDDT) Jayapura, serta pelatihan dan pendampingan penggunaan Aplikasi PPAK 4.2. Hasil analisis matriks USG menunjukkan bahwa rendahnya kapasitas pengurus dalam pengelolaan administrasi dan pelaporan keuangan merupakan prioritas utama dengan skor tertinggi sebesar 15. Pelaksanaan kegiatan berhasil meningkatkan kemampuan bendahara dan pengurus BUMKam dalam mengoperasikan Aplikasi PPAK 4.2 untuk melakukan pencatatan transaksi keuangan, pengelolaan buku kas, serta menghasilkan laporan keuangan secara lebih sistematis, akurat, dan terdokumentasi. Pemanfaatan aplikasi ini mendorong terwujudnya tata kelola keuangan BUMKam yang lebih transparan, akuntabel, dan mandiri, sehingga diharapkan dapat memperkuat pengelolaan kelembagaan serta meningkatkan kredibilitas BUMKam dalam mendukung pengembangan usaha di masa mendatang.
Co-Authors Armince Buliwal Erine Valery Sahureka Erny Riana Wafumilena Kurniawan Patma Novelyarosa Ambar Chelsea Pailah Radian Januari Situmeang Riene Elisabeth Infasye Womsiwor Salsabila Farsya Fadhilah Hairuddin Timotius Maxi Syufi Vitius Wenda Wilhelmina Y Gobay Yairus Nabyal