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Pengaruh Leverage, Ukuran Perusahaan, Profitabilitas, dan Likuiditas Terhadap Pembayaran Dividen Pada Perusahaan LQ45 Periode 2023-2024
Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employ...
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INFLUENCE OF LACTATION STATUS ON DAILY BEHAVIOUR OF ADULT FEMALE LONG-TAILED MACAQUES (Macaca fascicularis) IN AN EX-SITU BREEDING COLONY
This study aimed to analyse the influence of lactation status on the daily behaviour of adult female M. fascicularis in a breeding colony at CV. INQUATEX, Bogor, Indonesia. To achieve this, ten adult females, five lactating and five non-lactating, were observed using the scan sampling method after a habituation period. Observations were conducted twice daily, in the morning (7–9 a.m) and the afternoon (2-4 p.m.), at 5-minute intervals for 14 consecutive days. During these sessions, behavioural c...
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Sistem Informasi Penjualan Toko Dmelz Berbasis Web Menggunakan Laravel
Transformasi digital menjadi kebutuhan penting bagi usaha kecil untuk meningkatkan efisiensi dan daya saing. Toko Dmelz, sebuah usaha kuliner rumahan, awalnya masih mengandalkan sistem penjualan manual melalui media sosial, yang sering menimbulkan kesalahan pencatatan, keterlambatan proses, dan kesulitan dalam pembuatan laporan. Penelitian ini bertujuan merancang dan mengembangkan sistem informasi penjualan berbasis web untuk mengotomatisasi proses pemesanan, pengelolaan produk, dan pelaporan pe...
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Optimizing the Accuracy of Financial Reporting of Retail MSMEs Through the Development of a Web-Based Inventory Accounting Information System: A Case Study of Toserba Indah Kendal
Pratiwi, Hana
; Aqham, Ahmad Ashifuddin
; Sudirman, Bagus
; Munifah, Munifah
; Pratiwi, Hana
; Aqham, Ahmad Ashifuddin
; Sudirman, Bagus
; Munifah, Munifah
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2026)
Perkembangan teknologi informasi telah mendorong transformasi digital pada berbagai sektor usaha, termasuk usaha mikro dan menengah. Pengelolaan persediaan barang yang tidak didukung sistem informasi yang baik berpotensi menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data yang berdampak pada pengambilan keputusan manajerial. Toserba Indah Kendal sebagai usaha dagang masih menerapkan pencatatan persediaan dan laporan keuangan secara manual menggunakan buku tulis,...
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Development and Performance Evaluation of a Micro-Scale RDF Briquette–Fueled Steam Power Prototype
Syarifah
; Latricia Aina Hidayat
; Rini Yunita Sari
; Maratis, Jerry
; Andri Krisna Hidayat
; Pawenary
; Hendri
Plastic waste is a major environmental problem in Indonesia due to its non-biodegradable nature. One innovative solution is converting waste into energy using Refuse-Derived Fuel (RDF) briquettes for small-scale power generation. This research designed and tested an RDF-based micro power plant prototype using briquettes composed of 80% dry organic biomass and 20% plastic for safe and stable combustion. The prototype consists of a combustion chamber, heat exchanger, impulse-type micro steam turbi...
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Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
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A Systematic Analysis of the Impact of Non-Academic Factors on Student Academic Performance Prediction Using Data Mining
Ningsih, Gabriella Caroline Prihayu
; Universitas Sebelas Maret
; Liantoni, Febri
; Sebelas Maret University
; Sujana, Yudianto
; Sebelas Maret University
Telematika
Vol 19
, No 1
(2026)
This study investigates the prediction of students' academic performance using machine learning models through the analysis of 27 research articles. The primary objective is to identify a minimal set of essential features that significantly influence academic outcomes, aiming to optimize model performance and reduce data complexity. A Systematic Literature Review (SLR) was conducted following the PRISMA framework, focusing on key features such as midterm grades, faculty, department, demographic...
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Analysis of Hygiene and Sanitation Implementation in the Pastry Division at Aruss Hotel Semarang
The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This...
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ENVIRONMENTAL HEALTH RISK ASSESSMENT OF GROUNDWATER NITRATE AND NITRITE EXPOSURE AMONG FARMERS IN COASTAL AREA OF REMBANG, CENTRAL JAVA, INDONESIA
Irawati, Septiria
; Putri, Cita Fitria
; LPPM Universitas Diponegoro
; Gunungsari Village Government, Kaliori Subdistrict, Rembang Regency
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Background: The increasing use of fertilizers and pesticides in agricultural areas maycontaminate groundwater with nitrate and nitrite, posing health risks. Objective: This study aimed to assess the health risk from nitrate and nitrite exposure through groundwater consumption among farmers in the coastal area of Rembang, Central Java. Methods: A crosssectional study was conducted in Gunungsari Village, Kaliori Subdistrict. Groundwater samples from seven households were analyzed using spectrophot...
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Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores
This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, t...
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