Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal Journal of Artificial Intelligence and Digital Business Journal of Embedded Systems, Security and Intelligent Systems
Dwi Yolanda Sumbung
Universitas Pejuang Republik Indonesia
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Integration of Remote Sensing, GIS, and Geochemical Data for Delineating Prospective Zones of Lateritic Nickel Deposits in a Mining Area Zulfahmi Zulfahmi; Dwi Yolanda Sumbung
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8398

Abstract

This study develops an integrated remote sensing, geographic information system (GIS), and geochemical framework for delineating prospective zones of lateritic nickel deposits during early-stage exploration. The research responds to the need for a rapid and spatially consistent method to prioritize drilling targets in tropical ultramafic terrains where subsurface data are commonly limited. Sentinel-2 imagery was processed to derive vegetation, iron oxide, clay mineral, and moisture indicators, while DEM/SRTM and geological data were used to evaluate slope, elevation, lithology, and structural lineaments. A simulated geochemical dataset consisting of Ni, Fe, MgO, SiO2, and Co values from 30 sampling points was integrated with the spatial layers through normalization and weighted overlay analysis. The resulting prospectivity index classified the 2,000 ha study area into low, moderate, high, and very high potential classes. The model identified four prospect zones, with Zone A showing the strongest response, indicated by an average Ni grade of 1.79% and a prospectivity index of 0.78. Zone B was interpreted as a secondary target, whereas Zones C and D require limited or low-priority follow-up. These findings indicate that multisource geospatial and geochemical integration can improve exploration efficiency, reduce interpretation uncertainty, and support systematic target ranking before detailed drilling. The approach remains conceptual and should be validated using actual field measurements, drilling logs, laboratory assays, and objective weighting methods in future applications.
Experimental Assessment of Mining Waste Utilization in Cementitious Construction Materials: Strength, Water Absorption, and Durability Performance Ruth Bunga Ranggu; Hendra Sani; Dwi Yolanda Sumbung
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 1 (2026): March 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2610

Abstract

Purpose – This study aims to comparatively evaluate the potential of three Indonesian mining and industrial waste streams gold-mine tailings, ferronickel slag, and coal fly ash for utilization in cementitious materials within a unified experimental framework, supporting sustainable construction and circular economy strategies. Design/methods/approach – A screening-level experimental design was applied by incorporating tailings as a 10% fine-aggregate replacement, and ferronickel slag and fly ash as 10% cement replacements. Performance was assessed using compressive strength, water absorption, and durability-related behavior under 28 days of 5% NaCl immersion, with conventional concrete as a control. Statistical analysis included one-way ANOVA and Tukey HSD, alongside pooled correlation analysis. Findings – Results indicate that waste type significantly influences performance. The slag mixture (S-10) achieved the best balance, with a 28-day compressive strength of 28.93 MPa (90.32% of control), low water absorption (4.50%), and a “Good” durability rating. Tailings-based concrete showed moderate performance, while the fly-ash mixture exhibited the weakest chloride resistance. Statistical tests confirmed significant differences across all groups (p < 0.05), and a strong inverse correlation between compressive strength and water absorption (r = −0.798, p = 0.0019). Research implications/limitations – The study provides initial comparative insights but is limited by its exploratory NaCl immersion method and absence of advanced characterization (XRF, XRD, SEM) and leaching analysis, restricting mechanistic and environmental interpretation. Originality/value – This research contributes a novel comparative framework by evaluating multiple waste streams and utilization pathways under a standardized protocol, offering practical screening evidence to guide material selection in sustainable construction
Co-Authors Hendra Sani Ruth Bunga Ranggu Zulfahmi Zulfahmi