Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Jurnal Hutan dan Masyarakat YUME : Journal of Management Journal of Economics, Entrepreneurship, Management Business and Accounting Fundamental and Applied Management Journal
Hamzah, Baginda
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Economics, Econometrics & Finance Health Professions Social Sciences

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Analisis Tingkat Keakuratan Prediksi Harga Saham dengan Metode Nonlinear Auto-Regressive Exogenous Model (NARX) Neural Network Berbasis Data Time Series: Studi Kasus pada Harga Saham PT. Bank Central Tbk. (BBCA) Hamzah, Baginda; Alimuddin, Ibriati Kartika; Alimuddin, Nur Hazimah; Farhanah Ramdhani Sumardi, Andi Raina Ananda Herdiyana, Audrey Michelle Wenny Yolanda,
YUME : Journal of Management Vol 8, No 3 (2025)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v8i3.9446

Abstract

Penelitian ini menganalisis tingkat keakuratan prediksi harga saham PT. Bank Central Asia Tbk. (BBCA) menggunakan metode Nonlinear Auto-Regressive Exogenous Model (NARX) Neural Network berbasis data time series. Motivasi penelitian ini didasari oleh keterbatasan metode tradisional dalam memprediksi harga saham secara akurat, terutama dalam kondisi pasar yang volatil. Data penelitian menggunakan data sekunder harga saham BBCA periode Januari 2023 hingga Desember 2024 yang diperoleh dari Yahoo Finance, meliputi 470 data perdagangan harian dengan variabel open price, high price, low price, close price, dan volume perdagangan. Metodologi penelitian menerapkan preprocessing data menggunakan normalisasi min-max scaling, pembagian data menjadi 80% training, 10% validasi, dan 10% testing. Model NARX Neural Network dioptimalkan melalui metode trial-error untuk menentukan kombinasi parameter terbaik meliputi number of delay (1-5), algoritma pelatihan (trainlm, trainbr, trainscg), dan jumlah hidden neuron (1-10). Hasil penelitian menunjukkan bahwa konfigurasi optimal model menggunakan number of delay 4, algoritma Levenberg-Marquardt (trainlm), dan 8 hidden neuron dengan Mean Squared Error (MSE) sebesar 9.834,67. Evaluasi akurasi model menggunakan Mean Absolute Percentage Error (MAPE) menghasilkan nilai 1,018%, yang menurut kriteria Lewis (1982) tergolong highly accurate (MAPE < 10%). Temuan ini mengindikasikan bahwa metode NARX Neural Network efektif untuk prediksi harga saham BBCA dengan tingkat akurasi yang sangat tinggi.Kata Kunci: NARX Neural Network, Prediksi Harga Saham, BBCA, Time Series Analysis, Mean Absolute Percentage Error.
Recommendations for the “One Village, One Product” Strategy and Coffee Marketing Efficiency in Gowa Regency Hasannudin, Dian Ayu Lestari; Supratman; Alam, Syamsu; Makkarennu; Hamzah, Baginda
Jurnal Hutan dan Masyarakat VOLUME 17 NO 1, JULI 2025
Publisher : Fakultas Kehutanan, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jhm.v17i1.44324

Abstract

The One Village One Product (OVOP) concept seeks to raise farmers’ income by promoting regionally distinctive commodities. In Topidi Village, South Sulawesi, coffee is widely cultivated and well suited for agroforestry systems, offering high market potential. However, farmer profits are reduced by inefficient marketing channels involving many intermediaries. This study analyzed marketing institutions and the efficiency of Arabica coffee marketing using Marketing Margin, Farmer’s Share, and Profit to Cost Ratio methods. Data from four marketing outlets showed that Outlet IV, where farmers sell directly to end users, achieved the highest marketing efficiency at 44 percent for ground coffee and the highest profit. Adopting the OVOP concept for coffee could help position it as a leading regional commodity by integrating production across areas with similar landscapes, thus strengthening local industry and boosting household incomes.
Circular Economy Integration in Community-Based Forest Management: A Sustainability Analysis in Indonesia Hamzah, Baginda; Hasannudin, Dian Ayu Lestari
Jurnal Hutan dan Masyarakat VOLUME 17 NO 1, JULI 2025
Publisher : Fakultas Kehutanan, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jhm.v17i1.44325

Abstract

This study examines the integration of circular economy principles into community-based forest management (CBFM) collaborative strategies in Indonesia. Using a systematic literature review methodology, we analyzed 25 published studies and policy documents from 2015-2024, focusing on the interface between circular economy and collaborative forest governance. Results reveal that CBFM initiatives incorporating circular principles show enhanced resource efficiency and increased community income compared to conventional approaches. Four key integration models were identified: closed-loop forest product systems, regenerative agroforestry, waste-to-value conversion, and circular value chain partnerships. Critical success factors include adaptive governance mechanisms, multi-stakeholder knowledge platforms, and policy coherence across sectors. Significant implementation barriers persist, including capacity limitations, misaligned incentive structures, and inadequate market access. The study provides a multi-dimensional analytical framework and strategic recommendations for policymakers and practitioners seeking to advance sustainable forest management through circular economy integration in the Indonesian context.
Sustainable Digital Marketing Drives Consumer Engagement: The Mediating Role of Customer Trust in Indonesian Local Brands Herdiyana, Andi Raina Ananda; Hamzah, Baginda; Yolanda, Audrey Michelle Wenny
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 4 No 2 (2026): Volume 4, Issue 2, March 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v4i1.967

Abstract

Purpose – This study aims to examine the mediating role of customer trust in the relationship between sustainable digital marketing (SDM) practices and customer brand engagement among Indonesian local brands. In particular, it investigates how key SDM dimensions, namely transparency and disclosure, social and environmental impact communication, and stakeholder engagement, influence engagement through the development of customer trust in digital contexts. Design/methodology/approach – A quantitative cross-sectional survey design was employed. Data were collected from 150 consumers who have prior experience interacting with Indonesian local brands and have been exposed to sustainability-related digital marketing content. The proposed relationships among the constructs were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Finding/Results – The findings indicate that all SDM dimensions have positive and significant effects on customer trust, with transparency and disclosure emerging as the most influential determinant. Customer trust also demonstrates a strong and significant effect on customer brand engagement. These results suggest that sustainability-oriented digital marketing practices contribute to engagement through the development of customer trust. Originality/Value – This study advances SDM by positioning customer trust as the central mechanism linking sustainability communication to engagement and provides empirical evidence that SDM operates as a credibility-based signaling system with asymmetric effects across its dimensions in an emerging market context.
ESG Disclosure and Firm Performance: Evidence on Profitability, Market Value, and Cost of Debt from Indonesia Yolanda, Audrey Michelle Wenny; Darmawati, Darmawati; Hamzah, Baginda; Herdiyana, Andi Raina Ananda
Fundamental and Applied Management Journal Vol. 4 No. 1 (2026): Fundamental and Applied Management Journal
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i1.635

Abstract

The growing prominence of Environmental, Social, and Governance (ESG) initiatives has prompted extensive debate regarding their financial consequences, particularly within emerging economies where empirical findings remain limited. This study explores the influence of ESG disclosure on firm performance among Indonesian companies listed in the Kompas100 index from 2017 to 2023. Employing unbalanced panel data regression models, the analysis evaluates three financial dimensions: profitability, market valuation, and cost of debt. The results indicate that ESG disclosure has a positive and statistically significant impact on profitability, suggesting that greater transparency in sustainability practices enhances operational efficiency and strengthens internal financial outcomes. Conversely, the association between ESG disclosure and market valuation is positive yet statistically insignificant, implying that investors in Indonesia’s capital market have not fully incorporated ESG considerations into their valuation processes. Moreover, ESG disclosure exhibits a negative but insignificant relationship with the cost of debt, indicating that lenders have not systematically embedded ESG factors into credit assessments. The findings indicate that ESG disclosure improves internal financial performance but exerts only a limited influence on external financial perceptions within Indonesia’s corporate landscape.
Co-Authors Alimuddin, Ibriati Kartika Alimuddin, Nur Hazimah Darmawati Darmawati Farhanah Ramdhani Sumardi, Andi Raina Ananda Herdiyana, Audrey Michelle Wenny Yolanda, Hasannudin, Dian Ayu Lestari Herdiyana, Andi Raina Ananda Makkarennu Supratman SYAMSU ALAM Yolanda, Audrey Michelle Wenny