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Strategi Pemasaran Digital Pada Perusahaan Rintisan di Sektor Kreatif Puspita, Gina; Magfiroh, Diana
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 7 No. 1 (2025): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v7i1.108

Abstract

Penelitian ini menganalisis strategi pemasaran digital yang diterapkan oleh perusahaan rintisan di sektor kreatif untuk meningkatkan daya saing dan pertumbuhan bisnis. Dengan menggunakan pendekatan kualitatif melalui studi kasus pada 15 perusahaan rintisan kreatif di Indonesia, penelitian ini mengidentifikasi pola-pola strategi pemasaran digital yang efektif dalam konteks ekonomi kreatif. Hasil penelitian menunjukkan bahwa perusahaan rintisan di sektor kreatif mengadopsi strategi pemasaran digital multi-platform yang berfokus pada content marketing, social media engagement, dan influencer collaboration sebagai pilar utama. Temuan menunjukkan bahwa 87% perusahaan rintisan yang menerapkan strategi pemasaran digital terintegrasi mengalami peningkatan brand awareness sebesar 150% dalam 12 bulan pertama operasi. Selain itu, penelitian ini mengungkap bahwa personalisasi konten dan community building menjadi faktor kunci dalam membangun loyalitas pelanggan di era digital. Strategi omnichannel yang menggabungkan platform media sosial, e-commerce, dan komunikasi langsung terbukti meningkatkan conversion rate hingga 65%. Penelitian ini berkontribusi pada pengembangan teori pemasaran digital dalam konteks startup kreatif dan memberikan panduan praktis bagi entrepreneur untuk mengoptimalkan strategi pemasaran digital mereka.
Strategi Enrichment Berbasis Neurosains untuk Peserta Didik Neurodiverse di Sekolah Indonesia Magfiroh, Diana
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 6 No. 2 (2024): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v6i2.109

Abstract

Peserta didik neurodiverse, seperti anak dengan autisme, ADHD, dan disleksia, menghadapi tantangan unik dalam aspek kognitif maupun emosional. Di Indonesia, meskipun pendidikan inklusif semakin berkembang, strategi pembelajaran yang berbasis pada bukti ilmiah neurosains masih jarang diterapkan. Padahal, prinsip neurosains seperti neuroplasticity, pembelajaran multisensori, dan regulasi emosi melalui mindfulness terbukti efektif dalam mendukung perkembangan belajar. Penelitian ini bertujuan untuk: (1) mengidentifikasi kebutuhan kognitif dan emosional peserta didik neurodiverse, (2) mengeksplorasi teori neurosains yang relevan dalam pendidikan inklusif, dan (3) merumuskan strategi enrichment berbasis neurosains yang kontekstual dengan sekolah inklusi di Indonesia. Penelitian menggunakan pendekatan kualitatif dengan desain studi kasus. Data diperoleh melalui wawancara mendalam, observasi partisipatif, dan analisis dokumentasi terhadap 10 peserta didik neurodiverse, 5 guru, dan 2 kepala sekolah. Analisis data dilakukan dengan model interaktif Miles, Huberman, dan Saldaña, serta validasi triangulasi sumber dan metode. Temuan penelitian menunjukkan bahwa strategi enrichment berbasis neurosains dapat meningkatkan fokus belajar, kemampuan literasi, stabilitas emosi, dan kepercayaan diri siswa neurodiverse. Selain itu, siswa menunjukkan peningkatan partisipasi sosial dan kolaborasi di kelas. Guru juga melaporkan peningkatan efektivitas pembelajaran inklusif serta rasa percaya diri dalam merancang intervensi berbasis sains.
Enhancing Village Government Capacity to Manage Village Funds for Achieving Sustainable Development Goals in Rural Communities Magfiroh, Diana
Journal of Village Development Innovation Vol. 2 No. 2 (2025): Journal of Village Development Innovation
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jzt60b47

Abstract

The implementation of Village Fund in Indonesia faces significant challenges related to institutional capacity variations among village governments, which affects the achievement of sustainable development goals at the village level. This study analyzes the influence of village government institutional capacity on Village Fund implementation effectiveness for achieving SDGs, identifying key capacity dimensions and institutional capacity typologies. This study employs mixed methods research with an explanatory sequential design, integrating quantitative and qualitative approaches. Institutional capacity, comprising six dimensions (structural and organizational capacity, human resource competency, financial management systems, participatory planning, information technology, and governance and accountability), contributes 64.7% to implementation effectiveness, with mentoring quality as the strongest moderating factor (4.8%). Cluster analysis identifies four typologies: Innovator (21.7%), Conventional (36.7%), Developing (26.4%), and Weak (15.3%), each requiring differentiated interventions. This research provides an evidence-based diagnostic framework for policymakers to design targeted institutional strengthening programs, optimizing Village Fund utilization and accelerating sustainable village development.
Smartphone-Based Order Recording Application for Non-Technical Users: A Local Network Solution Riyan, Ade Bani; Nasir, Mohamad; Savandha, Septien Dwi; Fatimah, Ade Fitria; Magfiroh, Diana; Amelia, Amelia
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.253

Abstract

Background: Digital technology adoption among micro, small, and medium enterprises (MSMEs) in Indonesia remains limited, particularly among non-technical users. Many existing commercial applications present barriers related to system complexity, subscription costs, and dependence on stable internet connectivity, which hinder effective business digitalization. Aims: This study aims to develop and evaluate a smartphone-based order recording application tailored to MSME users with limited digital literacy, focusing on accessibility, usability, and operational efficiency without reliance on internet infrastructure. Methods: The research employed a Research and Development (R&D) methodology with a mixed-methods approach. The development process followed five iterative stages: needs analysis involving 18 MSME owners, user-centered system design, technical implementation using a local area network architecture, functional and usability testing, and iterative refinement based on user feedback. Usability evaluation was conducted with 12 non-technical MSME users using task performance metrics and the System Usability Scale (SUS). Results: The application achieved a SUS score of 74.2, indicating good usability, with an average task completion rate of 91.7%, surpassing typical benchmarks for commercial MSME applications. The local network architecture successfully eliminated internet dependency, reduced operational costs, improved system responsiveness, and enhanced data privacy. Key usability factors included simplified interfaces, minimal text input, large touch targets, consistent navigation, and reduced cognitive load. Conclusion: The findings demonstrate that digital solutions designed around user capabilities can effectively bridge the digital divide among non-technical MSME users. This study provides a replicable model for inclusive, low-cost, and accessible business application development in resource-constrained contexts.
Exchange Rate Fluctuations and Their Impact on Inflation: An Analysis Using National Data Magfiroh, Diana
Journal of Applied Econometric Vol. 2 No. 1 (2026): Journal of Applied Econometric
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/journaljoae.v2i1.40

Abstract

Background:Exchange rate fluctuations pose a critical challenge for modern economies, particularly in a globalized financial environment. The relationship between exchange rates and inflation is a key concern for policymakers, central banks, and economic researchers, as fluctuations in exchange rates can significantly influence domestic price levels and overall economic stability.Objective:This study aims to analyze the dynamic relationship between exchange rate fluctuations and inflation, focusing on the magnitude, asymmetries, and long-term effects of exchange rate pass-through to inflation in national economies. The goal is to better understand how exchange rate movements impact inflation and inform policy responses.Method:The research employs a quantitative approach using time series econometric analysis, specifically the Autoregressive Distributed Lag (ARDL) bounds testing method. Data were collected from national macroeconomic indicators for the period of 2005–2024.Findings and Implications:The findings reveal that exchange rate fluctuations have a significant pass-through effect on inflation. A 10% depreciation in the exchange rate leads to a 3.42% increase in inflation. Asymmetric effects were observed, where depreciation causes larger inflationary pressures than appreciation. These results emphasize the importance of incorporating exchange rate movements into inflation forecasting and policymaking, especially for countries with significant import dependencies.Conclusion:The study highlights the critical role of exchange rate fluctuations in inflation dynamics and underscores the need for policymakers to incorporate exchange rate movements into their inflation forecasting models and macroeconomic strategies. Future research should explore sector-specific impacts and consider the influence of global economic conditions in shaping the exchange rate-inflation relationship.
The Impact of Agricultural E-Commerce on Smallholder Incomes and Supply Chains: Evidence from Garut, West Jawa Magfiroh, Diana; Tekle, Kiflu Chekole; Dwi Putri Pramesti, Ginna Novarianti
Journal of Economic Development and Village Building Vol. 3 No. 2 (2025): Journal of Economic Development and Village Building
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jedvb.v3i2.51

Abstract

The rapid development of digital technology has created new opportunities to improve agricultural marketing systems, particularly for smallholder farmers who often face limited market access and long supply chains dominated by intermediaries. This study investigated the influence of agricultural e-commerce on enhancing the income of smallholder farmers and developments in the supply chain in the Garut region of West Java. The present study collected and analyzed quantitative and qualitative data using a mixed-method approach, surveying 250 smallholder farmers who use e-commerce platforms. It was found from the results that the adoption of e-commerce significantly increased farmers' monthly income from an average of 2.85 million to 4.15 million rupiah. The structure of the supply chain has also altered, with a significant reduction in the number of intermediaries from 3-4 to 1-2 intermediaries. Conversely, farmers' shares of the final price of products in cases such as organic vegetables have increased by 78 percent. Regression analysis further verified that factors such as education level, digital literacy, and the reduction of intermediaries have contributed most to explaining income changes. Though the findings showed the relative success of these platforms, some major challenges were pinpointed, such as logistics costs at a score of 4.6 and limited digital literacy at a score of 4.2. This paper concludes that agricultural e-commerce development relies on simultaneous consideration of the three axes: logistics infrastructure development, enhancement of digital capability by farmers, and adjustment in cultivation patterns.
AnalysisAnalysis of Gold Price Fluctuations in Indonesia in the Third Quarter of 2025 of Gold Price Fluctuations in Indonesia in the Third Quarter of 2025 Magfiroh, Diana; Komarudin, Komarudin
Return : Study of Management, Economic and Bussines Vol. 4 No. 10 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i10.448

Abstract

This study examines the fluctuations of domestic gold prices in Indonesia during the third quarter of 2025, which were influenced by complex interactions between global and domestic macroeconomic factors. Gold plays a crucial role as an investment instrument and hedge asset, making it important to understand the determinants of its price movements, particularly in emerging markets such as Indonesia. This research aims to analyze the influence of external factors, including world gold prices, rupiah exchange rates, global inflation, and global interest rates, on domestic gold price fluctuations. This study employs a quantitative approach using time series data for the period July–September 2025. The analysis methods include multiple linear regression (OLS) to examine the simultaneous effects of variables, the GARCH model to analyze volatility patterns, and the Granger causality test to identify causal relationships among variables. The results indicate that world gold prices and rupiah exchange rates have a significant and dominant influence on domestic gold prices, while global interest rates also show a meaningful effect. In contrast, global inflation does not have a significant direct impact. Furthermore, gold price volatility exhibits a clustering pattern, indicating that periods of high volatility tend to be followed by similar conditions. In conclusion, domestic gold price movements in Indonesia are strongly driven by external macroeconomic factors, particularly global gold prices and exchange rate dynamics. This study contributes to the literature by integrating regression, volatility, and causality analysis within a specific quarterly context. The findings imply that investors and policymakers should closely monitor global economic indicators to manage risks and formulate effective strategies in responding to gold market fluctuations
Bio-Inspired Computing Based Multi Objective Optimization For Sustainable Manufacturing In The Industry 4.0 Era Fitriyanti, Elvira; Magfiroh, Diana
International Journal of Social Research Vol. 4 No. 1 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i1.97

Abstract

This study aims to evaluate the contribution of bio-inspired computing towards the sustainability of manufacturing systems in the context of Industry 4.0. Using quantitative and design approaches, data were collected from 100 professional respondents in the manufacturing sector through questionnaires and structured interviews. Statistical analysis was performed using Pearson correlation, linear regression, t-test, and ANOVA with the help of SPSS software. The results showed a very strong and significant relationship between the use of bio-inspired algorithms, such as Particle Swarm Optimization (PSO), with energy efficiency (r = 0.872), production level (r = 0.723), and environmental sustainability (r = 0.790). Linear regression showed that the use of the technology explained 76.1% of the variability in energy efficiency (R² = 0.761; p < 0.001). The ANOVA results also showed significant differences between groups of technology users in terms of efficiency achievements. These findings indicate that bio-inspired computing can be an important strategy in digital transformation and more sustainable decision-making. This study contributes to developing multi-objective optimization theory and provides practical implications for industrial management in implementing adaptive and environmentally friendly technologies.
Evaluating Corporate Financial Performance: A Profitability Ratio Approach Astuti, Aurelia Widya; Tekle, Kiflu Chekole; Lema, Alemayehu Abera; Magfiroh, Diana
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 11 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/qs4g0w42

Abstract

Corporate financial performance evaluation is essential for guiding strategic decision-making by managers, investors, and stakeholders, yet raw financial data alone provides limited insight without a structured interpretive framework. This study aims to evaluate the financial performance of PT Dunia Virtual Online Tbk by applying four profitability ratios Gross Profit Margin (GPM), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE) simultaneously within a unified analytical framework. A descriptive quantitative research design was employed, with data sourced from the company's audited financial statements for the period ending 31 March 2025. Each ratio was calculated using standardized formulas derived from the income statement and balance sheet, encompassing net sales of IDR 14,567,561,590, cost of goods sold of IDR 6,917,131,209, net income of IDR 2,028,267,985, total assets of IDR 301,240,237,537, and total equity of IDR 234,410,798,865. The results show that GPM reached 52.52%, reflecting strong production cost efficiency; NPM was recorded at 13.92%, indicating effective overall cost management; while ROA and ROE were notably low at 0.67% and 0.87% respectively, suggesting that the company's substantial asset and equity base has not yet been fully optimized to generate proportional returns. These findings reveal a dual performance profile: high operational efficiency at the production and cost management level, contrasted with low capital utilization efficiency—consistent with characteristics of a company in an active investment and asset accumulation phase. This study concludes that an integrated multi-ratio approach yields a more comprehensive and diagnostically precise assessment of corporate financial health than single-indicator analysis, offering actionable insights for both internal management and external investors.