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Jalan Jendral Besar H.M Soeharto Kel Lubuk Kupang, Kec Lubuklinggau Selatan I, Kota Lubuklinggau, Provinsi Sumatera Selatan
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INDONESIA
Jurnal Teknologi Informasi MURA
Published by Universitas Bina Insan Lubuklinggau
ISSN : 20856156     EISSN : 26148722     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Other
JTI (Jurnal Teknologi Informasi MURA) publish articles on Information System from various perspectives, covering both literary and fieldwork studies.
Arjuna Subject : Teknik (semua kategori) - Teknologi Media
Articles 332 Documents
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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS STRATEGI DIGITALISASI UMKM DI KOTA LUBUKLINGGAU MENGGUNAKAN KOMBINASI METODE AHP DAN SAW Desi Hartati; Wisnumurti Wisnumurti; Sri Tita Faulina; Endang Rahmayanti; Wenny Septafiana Aulia
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are a vital pillar of the Indonesian economy, including in Lubuklinggau City. However, the digital transformation of MSMEs still faces various obstacles, such as low digital literacy among human resources, uneven information and communication technology (ICT) infrastructure, weak digital data security, and limited capital for digitalization investment. Various policy strategy alternatives have been proposed, yet local government requires an objective tool to determine which strategy should be prioritized given limited budget and time. This study aims to build a Decision Support System (DSS) model to determine the priority of MSME digitalization strategies in Lubuklinggau City using the Simple Additive Weighting (SAW) method. The study employs five evaluation criteria—impact on MSME performance, urgency, ease of implementation, implementation cost, and existing regulatory support—along with five policy strategy alternatives adapted from an MSME digitalization policy brief for Lubuklinggau City. The SAW calculation results show that the strategy of improving human resource capacity and digital literacy obtained the highest preference value (Vi = 0.970), followed by the integration of services through the Silampari Smart City platform (Vi = 0.753), capital assistance and digital access subsidies (Vi = 0.718), digital data security education (Vi = 0.690), and equitable distribution of ICT infrastructure (Vi = 0.665). These results indicate that the SAW method can serve as a systematic, transparent, and accountable decision-support tool for policymakers in formulating MSME digitalization program priorities.
COMPARING GAUSSIAN AND DISCRETIZED NAIVE BAYES FOR FOREX TRADING WITH ONNX-INTEGRATED MT5 EXECUTION Abdillah Baradja; Bayu Mukti; Muhamad Fadel Amrullah
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 2 (2026): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i2.3367

Abstract

Predicting non-stationary, non-normal hourly foreign exchange rates using probability-based classifiers is challenging, and the standard Gaussian assumption for Naive Bayes can be fragile. This study evaluated and compared three Naive Bayes representations for hourly foreign exchange rate prediction to examine the impact of feature discretization. The representations included Gaussian Naive Bayes on continuous indicators, equal-width binned Bernoulli Naive Bayes, and equal-frequency binned Bernoulli Naive Bayes. Relative Strength Index, Average True Range, and Moving Average Convergence Divergence indicators were computed from hourly historical bars for three major currency pairs. The models were trained in Python, exported via the Open Neural Network Exchange, and integrated into MetaTrader 5 for backtesting under a standardized execution gate. Backtests revealed that the quantile-binned equal-frequency model achieved consistent profitability across all three currency pairs, whereas the Gaussian and uniform-binned models demonstrated unstable performance and significant drawdowns. The findings suggested that quantile-based discretization mitigated the impact of outliers and improved classifier robustness in non-stationary market environments.

Page 34 of 34 | Total Record : 332

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