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All Journal Natural Sciences Engineering and Technology Journal Indonesian Community Empowerment Journal Enigma in Economics
Abdul Malik
Department of Economics Education, SSRI Research Institute, Batam, Indonesia
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Forging Digital Pathways to Prosperity: A Mixed-Methods Inquiry into Digital Literacy, Community Entrepreneurship, and Sustainable Development Goal Attainment in Rural Indonesia Grace Olivia Silalahi; Delia Tamim; Sandro Louise Oliveirra; Abdul Malik; Muhammad Faiz
Indonesian Community Empowerment Journal Vol. 5 No. 2 (2025): Indonesian Community Empowerment Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/icejournal.v5i2.47

Abstract

The proliferation of digital technology presents a monumental opportunity for economic development, yet its benefits remain unevenly distributed, particularly in the rural regions of developing nations like Indonesia. This study investigates the critical role of digital literacy as a catalyst for community entrepreneurship, and its subsequent impact on achieving Sustainable Development Goal 1 (No Poverty) and Goal 8 (Decent Work and Economic Growth). A sequential explanatory mixed-methods design was employed across three diverse rural regencies in Indonesia. The initial quantitative phase involved a multi-stage cluster survey of 525 rural entrepreneurs, with data analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test hypothesized relationships. The subsequent qualitative phase comprised 30 in-depth, semi-structured interviews with entrepreneurs and community leaders, selected purposively from the quantitative sample. Interview data were analyzed using rigorous thematic analysis to explain and enrich the statistical findings. The PLS-SEM analysis revealed that digital literacy has a significant, positive direct effect on both entrepreneurial intention (b=0.451, p<0.001) and entrepreneurial performance (b=0.382, p<0.001). Entrepreneurial performance, in turn, was a strong predictor of progress toward SDG 1 (b=0.523, p<0.001) and SDG 8 (b=0.610, p<0.001). Qualitative findings identified three core mechanisms facilitating these relationships: (1) the use of digital platforms as a gateway to expanded markets, (2) the vital role of informal, peer-to-peer social networks in digital skill acquisition, and (3) the translation of individual entrepreneurial success into community-wide economic benefits through local job creation and value chain development. In conclusion, digital literacy is a foundational capability that directly empowers rural entrepreneurs, driving local economic performance and accelerating progress toward key SDGs. These findings underscore the necessity of moving beyond infrastructure-centric policies to holistic strategies that cultivate digital skills through community-based learning and support the integration of digital tools into local enterprises.
A Solvent-Free, Mechanochemical Process for Sustainable Recycling of Neodymium and Dysprosium from E-Waste Magnets Khairul Raziqin; Arya Ganendra; Abdul Malik
Natural Sciences Engineering and Technology Journal Vol. 5 No. 2 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i2.73

Abstract

The escalating demand for rare earth elements (REEs), particularly neodymium (Nd) and dysprosium (Dy), for high-performance NdFeB magnets, has created significant supply chain vulnerabilities and environmental concerns associated with primary mining. End-of-life electronic waste (e-waste) represents a substantial secondary resource for these critical materials. This study introduces a novel, environmentally benign approach for recovering Nd and Dy from waste NdFeB magnets. A solvent-free mechanochemical process was developed and optimized. Waste NdFeB magnet powder, sourced from discarded hard disk drives collected in Indonesia, was co-milled with ammonium chloride (NH₄Cl) in a high-energy planetary ball mill. The influence of key process parameters, including milling time (60-360 min), milling speed (200-500 rpm), and the mass ratio of NH₄Cl to magnet powder (1:1 to 5:1), on the extraction efficiency of Nd and Dy was systematically investigated. The structural and morphological transformations were characterized using X-ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) with Energy-Dispersive X-ray Spectroscopy (EDS). Metal recovery was quantified via subsequent water leaching and analysis by Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). The mechanochemical treatment successfully converted the insoluble rare earth phases within the magnet matrix into water-soluble rare earth chlorides. Under optimal conditions—a milling time of 240 minutes, a speed of 400 rpm, and a NH₄Cl-to-magnet mass ratio of 3:1—the process achieved remarkable extraction efficiencies of 98.6% for Nd and 96.2% for Dy. XRD analysis confirmed the transformation of the Nd₂Fe₁₄B phase into REE chlorides, alongside iron and iron boride phases. SEM imaging revealed a significant reduction in particle size and the formation of agglomerated composite particles, crucial for the solid-state reaction. In conclusion, this study demonstrates that solvent-free mechanochemistry is a highly effective and sustainable alternative to conventional hydrometallurgical and pyrometallurgical recycling methods. The process operates at ambient temperature, eliminates the need for corrosive acids and organic solvents, and exhibits high recovery rates, presenting a viable pathway towards a circular economy for critical rare earth elements from e-waste.
Systemic Contagion or Digital Diversifier? A Dynamic Quantification of the Cryptocurrency Market's Evolving Role in Global Financial Risk Transmission Abdul Malik; Gayatri Putri; Hesti Putri; Ahmad Badruddin
Enigma in Economics Vol. 3 No. 2 (2025): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v3i2.99

Abstract

The proliferation of crypto-assets has raised critical questions about their impact on global financial stability. This study rigorously investigates the structural evolution of the cryptocurrency market's role within the global financial system, testing the hypothesis that it has transitioned from a peripheral, shock-absorbing entity into a systemically significant transmitter of financial risk. We employ a Time-Varying Parameter Vector Autoregression (TVP-VAR) model on daily data from January 1, 2017, to December 31, 2024, examining the dynamic connectedness between a bespoke, rebalanced cryptocurrency index (CRIX20) and key global financial indicators (S&P 500, MSCI World, VIX, DXY). The econometric framework utilizes a Bayesian estimation approach with standard priors, a 200-day rolling window, and a 10-day forecast horizon for Generalized Forecast Error Variance Decompositions (GFEVD). Methodological robustness is confirmed through structural break tests and sensitivity analysis of the forecast horizon. Our findings reveal a profound structural transformation. Prior to mid-2020, the cryptocurrency market was a consistent net receiver of financial spillovers. A structural break, formally identified in the third quarter of 2020, marks a definitive regime shift. Post-break, the crypto market has become a significant and persistent net transmitter of risk to the traditional financial system. The total connectedness index for the entire system shows a marked secular increase, with the crypto market's contribution to systemic risk growing substantially. Gross spillover analysis confirms this shift is driven by a dramatic increase in risk transmission from the crypto market to other assets. In conclusion, the cryptocurrency market can no longer be considered an isolated ecosystem; it is now an integral and potentially destabilizing component of the global financial architecture. The era of crypto-assets as reliable diversifiers has waned, replaced by a new reality where shocks originating within this market pose a credible threat to broader financial stability. These findings present urgent challenges for regulatory oversight, systemic risk monitoring, and portfolio management.
Cyclical Timing Across Asset Classes: A Structured Narrative Review of Market Cycle Theory in Equities, Gold, and Cryptocurrency Abdul Malik; Anies Fatmawati
Enigma in Economics Vol. 4 No. 1 (2026): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v4i1.130

Abstract

Background. Cycle theory — the practice of reading prices as a nested hierarchy of cycles measured from one low to the next — is a cross-asset tradition applied to equity indices, gold and, most recently, cryptocurrency. Objective. This structured narrative review appraises the conceptual coherence and empirical support for cyclical, low-to-low market timing across three asset classes: the S&P 500 equity index, gold, and Bitcoin. Methods. We distinguish the specific, quantified practitioner rules (fixed day/week counts, tolerance bands and an asserted ~80% hit rate) from the general, peer-reviewed proposition that returns are conditionally predictable, and appraise the plausibility of the former through the evidence on the latter rather than testing the rules directly. Following SANRA guidance, we report an explicit search strategy, eligibility criteria and a DOI-authenticated corpus, and grade each core tenet with a pre-specified rubric rather than an ad-hoc numeric score. Results. The evidence is asymmetric and consistent across markets: an identifiable cyclical anchor, time-varying (adaptive) efficiency, and the amplifying association of behavioural forces are well supported, whereas a mechanically periodic multi-year cycle and high-accuracy timing of individual lows are of limited and very limited support and are vulnerable to survivorship and data-snooping biases. We contribute an integrative reflexive framework, falsifiable predictions, and a transparent evidence-grading scorecard. Conclusion. Cycle theory is best understood not as a deterministic clock but as a probabilistic, regime-conditioned scaffold. This work is educational; it is not investment advice.
Co-Authors Ahmad Badruddin Anies Fatmawati Arya Ganendra Delia Tamim Gayatri Putri Grace Olivia Silalahi Hesti Putri Khairul Raziqin Muhammad Faiz Sandro Louise Oliveirra