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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Jurnal Akuntansi Keuangan Dan Perpajakan
Arya Dwi Saputra
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Mathematics Other

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Kegiatan Pengabdian Masyarakat Terhadap Deteksi Dini Gangguan Perilaku, Emosional, Dan Psikososial Di Sekolah Dasar Negeri 02 Ciherang Fransisca Iriani R Dewi; Divyas Bharath; Dany Setiawan; Nathanael Gumarus; Arya Dwi Saputra; Kacen Kacen; Yuri Prisiani; Alexander Halim Santoso
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 3 No. 1 (2024): Maret : Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v3i1.2052

Abstract

Children and young people often face significant mental health challenges, which impact their emotional well-being and behavior. Our study aims to detect early signs of this problem in elementary school children using the Pediatric Symptom Checklist (PSC-17) questionnaire. It is hoped that it can increase the understanding of students and students to prevent the negative impacts of behavioral, emotional and psychosocial disorders.
PREDIKSI KEBANGKRUTAN PERUSAHAAN MENGGUNAKAN DECISION TREE, RANDOM FOREST DAN LOGISTIC REGRESSION: ANALISIS RASIO KEUANGAN SEBAGAI INDIKATOR RASIO Arya Dwi Saputra; Teny Handhayani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 13 No. 2 (2025): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v13i2.34303

Abstract

Tujuan dari penelitian ini adalah untuk menggunakan tiga algoritma klasifikasi: Decision Tree, Random Forest, dan Logistic Regression untuk memprediksi kebangkrutan perusahaan. Sebagai indikator utama untuk mengukur risiko kebangkrutan perusahaan, penelitian ini menggunakan data rasio keuangan yang terdiri dari berbagai rasio keuangan, termasuk return on assets (ROA), margin laba operasi, dan total turnover aset. Penelitian menilai model yang dibangun menggunakan metrik performa seperti akurasi, ketepatan, recall, dan skor F1. Hasilnya menunjukkan bahwa model Logistic Regression memiliki tingkat akurasi tertinggi sebesar 96%. Penelitian ini memberikan wawasan tentang efektivitas rasio keuangan dalam memprediksi kebangkrutan dan relevansi penggunaan berbagai algoritma klasifikasi keuangan.
Kendala Rekonsiliasi Dana BOS Terhadap Penyusunan LKPD Pada BPKAD Kota Magelang Arya Dwi Saputra; Dian Rubihani
Jurnal Akuntansi Keuangan Dan Perpajakan | E-ISSN : 3063-8208 Vol. 2 No. 3 (2026): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Financial reconciliation is a crucial process in governmental accounting systems to ensure consistency between financial reports of implementing units and the records of local governments. This study aims to analyze the obstacles in the reconciliation process of School Operational Assistance (BOS) funds between schools and the Regional Financial and Asset Management Agency (BPKAD) of Magelang City, as well as its impact on the preparation of the Local Government Financial Report (LKPD). The research employs a descriptive qualitative method with data collection techniques including observation, interviews, and documentation. The findings reveal that the main obstacles in BOS fund reconciliation stem from limited accounting knowledge and insufficient human resources at the school level. These conditions lead to recording errors, discrepancies between reports and supporting documents, and delays in report submission. Consequently, these challenges hinder the reconciliation process and slow down the preparation of the LKPD
Co-Authors Alexander Halim Santoso Dany Setiawan Dian Rubihani Divyas Bharath Fransisca Iriani R Dewi Kacen Kacen Nathanael Gumarus Teny Handhayani Yuri Prisiani