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All Journal MIX : Jurnal Ilmiah Manajemen Syntax Literate: Jurnal Ilmiah Indonesia JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Jurnal Ilmiah Manajemen Kesatuan Jurnal Ilmiah Akuntansi Kesatuan Cakrawala Repositori Imwi Journal of Social Science Journal of Economics and Business UBS Devotion: Journal of Research and Community Service Daengku: Journal of Humanities and Social Sciences Innovation Co-Value : Jurnal Ekonomi, Koperasi & Kewirausahaan COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Journal of Social Science Inkubis: Jurnal Ekonomi dan Bisnis Jurnal Indonesia Sosial Teknologi Journal Research of Social Science, Economics, and Management Matriks Journal of Business, Social and Technology Equivalent: Jurnal Ilmiah Sosial Teknik Journal of Social Science Journal of Economic Development and Village Building Journal of Digital Marketing and Search Engine Optimization Journal of Digital Business and Data Science Journal of Applied Econometric Journal of Strategic Marketing and Applied Economics Glosains: Jurnal Sains Global Indonesia
Nendi, Ikhsan
Politeknik Siber Cerdika Internasional
Religion Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences Transportation Other

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DIGITAL MICRO-ENTREPRENEURSHIP AND LOCAL INNOVATION SYSTEMS FOR ADVANCING VILLAGE ECONOMIC GROWTH Ikhsan Nendi
Journal of Economic Development and Village Building Vol. 3 No. 1 (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.v3i1.49

Abstract

This research investigates digital micro-entrepreneurship in rural areas through the local innovation systems framework. Addressing limited formal employment, seasonal agricultural income, and digital divides, this study examines how smartphone platforms create market pathways while raising concerns about uneven value capture and exclusion. The study maps the entrepreneur typology, explains how digital technologies reshape the dynamics of the innovation system, and identifies constraints that affect the quality and sustainability of entrepreneurship. Employing qualitative case study methodology, data were collected through interviews, focus groups, and system actor mapping from January to December 2024. Three villages were selected: Village A (peri-urban, strong connectivity), Village B (agricultural, moderate connectivity), and Village C (remote, unreliable). Among 45 identified micro-entrepreneurs, 60% are women aged 25-40. Findings reveal social selling ecosystems dominate, with hybrid online-offline models prevailing due to trust and payment preferences. Digitalization accelerates knowledge flows through trans-local learning and enables partial institutional evolution, most effectively in digitally-advantaged villages. However, the lack of formal financial records constrains assessment. Digital tools catalyze rural innovation system reconfiguration, but benefits remain mediated by digital literacy, capital access, and social support. Implications emphasize tiered policy formalization, cooperative digital infrastructure, and targeted financial inclusion. Study limitations include a small sample (45 entrepreneurs from 3 villages), a geographic focus on 1 district, self-reported data, and a 12-month time frame.
How Leadership Commitment Shapes the Impact of Scope Management Programs on Team Accountability Ikhsan Nendi; Amelia Amelia
Glosains: Jurnal Sains Global Indonesia Vol. 7 No. 3 (2026): Glosains: Jurnal Sains Global Indonesia
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/glosains.v7i3.774

Abstract

Background: Organizations worldwide continue to experience scope-related project failures despite substantial investment in formal governance programs, indicating that structural mechanisms alone are insufficient to guarantee accountability outcomes. Objective: This study investigates the moderating role of leadership commitment in the relationship between scope management programs and team accountability within corporate settings. Drawing on agency theory, stakeholder theory, and the resource-based view, the research examines how executives' visible endorsement, resource allocation, and behavioral modeling amplify or attenuate the effectiveness of formal scope management initiatives. Methods: Using a quantitative survey design, data were collected from 320 project managers and team leaders across manufacturing, financial services, and technology sectors in Indonesia. Structural equation modeling (SEM) with SmartPLS 4.0 was employed to test the hypothesized relationships. Results: Findings reveal that leadership commitment significantly moderates the scope management–team accountability relationship (β = 0.412, p < 0.001), with high leadership commitment more than doubling the positive effect of scope management programs. The model explains 56.1% of the variance in team accountability (R² = 0.561). Conclusions: The study contributes to project management theory by integrating leadership as a boundary condition and offers practical guidance for organizations seeking to enhance accountability through governance reforms. Practically, the findings guide executives to pair scope-governance investments with structured leadership-development initiatives that strengthen accountability outcomes.
Economic Development Conditions and Their Effects on Growth Indicators Drawn from Statistics Indonesia Economic Data Ikhsan Nendi
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.v2i1.38

Abstract

Background:Understanding how economic development conditions interact to influence growth outcomes is critical for policymakers in emerging economies, especially as nations navigate post-pandemic recovery and address challenges from technological disruption and climate change.Objective:This study examines the relationship between multidimensional development conditions and growth indicators in West Java Province, Indonesia's most populous and economically diverse region. The goal is to assess how various development factors impact economic growth outcomes, such as GDP growth, employment creation, poverty reduction, and human development index outcomes.Method:The research analyzes panel data from 27 districts and cities over the period 2019–2023. Fixed-effects regression models are employed to assess the effects of infrastructure quality, human capital levels, institutional capacity, sectoral composition, and trade openness on economic performance indicators.Findings and Implications:The findings reveal that infrastructure investment significantly enhances GDP growth (coefficient 0.048, p<0.01), while human capital emerges as the strongest driver of employment growth (0.041, p<0.01) and poverty reduction (-0.095, p<0.01). These results provide evidence-based guidance for policymakers on how to prioritize development investments and create integrated strategies that leverage the synergies between infrastructure, human capital, and institutional improvements tailored to regional contexts.Conclusion:The study emphasizes that sustainable regional development requires a multidimensional approach rather than single-factor interventions. Policymakers should focus on developing integrated strategies that combine investments in infrastructure, human capital, and institutional capacity. Future research should explore spatial spillover effects and the long-term causal mechanisms that drive economic transformation.
Analisis Sistem Akuntansi Kredit Modal Kerja Bank Syariah Kota Cirebon Ikhsan Nendi
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 2 No. 2 (2020): INKUBIS : Jurnal Ekonomi dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v2i2.9

Abstract

Lembaga keuangan yang ada di Indonesia memiliki peran penting sebagai tonggak perekonomin Indonesia, salah satu diantaranya adalah lembaga perbankan. Kredit modal kerja merupakan salah satu fasilitas kredit yang dilakukan untuk membantu mengembangkan usaha masyarakat. Tujuan penelitian ini adalah untuk mengetahui prosedur pemberian kredit modal kerja, pengawasan kredit modal kerja dan penanganan kredit modal kerja. Bertempat di PT Bank Syariah Kota Cirebon. Metode penelitian yang digunakan merupakan penelitian kualitatif dengan menggunakan metode wawancara dan metode dokumentasi. Jenis data yang digunakan adalah data primer dan data sekunder. Hasil penelitian ini menunjukan bahwa prosedur pemberian kredit modal kerja sudah cukup efisien dan mudah, pengawasan kredit dilakukan tiga bulan sekali dengan mengunjungi usaha debitur, jika terjadi kredit bermasalah maka penyelesaiannya dengan menggunakan resktukturisasi dan saluran hukum. Namun hasil penelitian ini juga menunjukan bahwa diperlukannya kehati-hatian dalam melakukan analisis kredit dan dapat menambah sumber daya manusia pada bagian pengawasan.
Sustainable Economic Empowerment Through Collaborative Village Governance and Social Entrepreneurship Education Toward Achieving A Circular Economy Ikhsan Nendi
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 7 No. 2 (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.v7i2.122

Abstract

Background: This study examines village collaborative governance models and community-based social entrepreneurship education in realizing a sustainable rural circular economy. Objective: The main focus of the research is to identify and analyze governance models that can support sustainable economic empowerment, as well as to assess the effectiveness of community-based social entrepreneurship education in enhancing the entrepreneurial capacity of rural communities through circular economy principles. Method: The research employs a mixed-methods approach (qualitative and quantitative), with data analysis including in-depth interviews, participatory observation, and quantitative surveys. Findings and Implications: The main findings indicate that the implementation of collaborative governance models involving various stakeholders, along with community-based social entrepreneurship education based on circular economy principles, can enhance economic resilience and create sustainable business opportunities. Conclusion: The implications of this research emphasize the importance of integrating the development of village governance capacity with entrepreneurship education to create independent and environmentally-friendly rural economies. This study also provides recommendations for policies that foster rural economic development through community-based empowerment models grounded in circular economy governance.
Government Financial Accountability and its Implications for Economic Development Agus Rohmat Hidayat; Ikhsan Nendi; Feri Hardianto; Difa Ameliora Pujayanti
Cakrawala Repositori IMWI 280-288
Publisher : Institut Manajemen Wiyata Indonesia & Asosiasi Peneliti Manajemen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/cakrawala.v8i5.833

Abstract

This study examines the critical relationship between government financial accountability and economic development across developing and developed nations. Through a comprehensive analysis of financial governance mechanisms, transparency frameworks, and institutional quality, we investigate how accountability systems influence macroeconomic performance. Using panel data from 85 countries spanning 2010-2024, our empirical analysis employs fixed effects regression models and instrumental variable approaches to address endogeneity concerns. Results demonstrate that enhanced financial accountability significantly correlates with improved GDP growth rates, reduced corruption indices, and increased foreign direct investment. The study reveals that countries with robust public financial management systems, characterized by transparent budgeting processes, effective auditing mechanisms, and strong parliamentary oversight, experience 2.3% higher annual GDP growth compared to nations with weaker accountability frameworks. Furthermore, our findings indicate that the relationship between accountability and development is moderated by institutional quality, with stronger effects observed in countries with established democratic governance. The research contributes to the literature by developing a comprehensive Financial Accountability Index (FAI) and providing policy recommendations for strengthening fiscal governance in emerging economies.
Local Government Coordination in Flood Mitigation Policy: Insights from Cirebon Hery Nariyah; Darwanto Darwanto; Ikhsan Nendi; Muhammad Asril Maulana; Fitri Maghdalena
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 4 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5097

Abstract

Flood mitigation in Indonesian coastal cities depends not only on infrastructure but on how local government institutions coordinate across sectors and administrative levels. Cirebon, a dual river-and-tidal flood-prone city on the north coast of West Java, exemplifies coordination challenges of Indonesia's decentralised disaster governance, where the city, regency, technical agencies, and community actors operate with overlapping mandates. This study examines how local government coordination is structured, practised, and constrained in flood mitigation policy. Data were collected through interviews with 22 key informants from eight institutions, two focus group discussions, field observation, and document analysis, analysed using the Miles and Huberman interactive model with inter-coder reliability verification. Findings show coordination operates through three overlapping mechanisms: formal command-line coordination led by the Regional Disaster Management Agency (BPBD), semi-formal multi-stakeholder forums, and informal digital communication channels. Effectiveness is constrained by fragmented budget authority, the city-regency administrative split, weak SOP enforcement, and limited real-time data sharing, while community-based early warning groups and sustained leadership commitment act as key enablers. The study offers context-specific evidence for strengthening cross-sector flood governance in mid-sized Indonesian coastal cities.
Search Engine Algorithm Updates and Their Effects on Digital Content Performance Dedy Setiawan; Ikhsan Nendi
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 2 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/n1kh3g82

Abstract

This research investigates search engine algorithm update effects on digital content performance during 2020-2025 using sequential explanatory mixed-method design. Analyzing 1,247 content pieces from 512 websites across 10 industry verticals through interrupted time series analysis, multiple regression, and machine learning classification, combined with 40 in-depth practitioner interviews. Findings reveal average organic traffic declined 14.2% post-update, creating trimodal distributions: 28% severe decline, 57% moderate fluctuation, and 15% significant growth. Temporal analysis identifies three phases: immediate shock (35.4% decline), volatile adjustment, and stabilization at 18% below baseline, with only 12.4% fully recovering. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) emerges as strongest resilience predictor (B=0.386, p<0.001), alongside content depth and original research. Qualitative findings expose pervasive algorithm anxiety (92.5% practitioners) and paradigm shifts from technical optimization toward authentic expertise. The research provides evidence-based strategies emphasizing E-E-A-T implementation, content depth over volume, and strategic diversification. This study uniquely integrates quantitative performance patterns with practitioner phenomenology across 18 major updates, advancing understanding of algorithmic governance dynamics in digital content ecosystems.
Customer Churn Prediction Uses Machine Learning to Improve Retention on Digital Platforms Anton Budiyono; Ikhsan Nendi
Journal of Digital Business and Data Science Vol. 2 No. 2 (2025): Journal of Digital Business And Data Science
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jdbs.v2i2.23

Abstract

Customer churn is a critical challenge for digital platforms operating in highly competitive markets such as e-commerce. This study aims to develop a machine learning–based predictive model to identify Shopee customers in Indonesia who are at high risk of churn, using behavioral and transactional data. A supervised learning approach was employed using multiple algorithms, including Logistic Regression, Decision Trees, Random Forests, and XGBoost. The dataset consisted of user activities, including transaction frequency, recency, voucher usage, application session count, and interaction with promotional features. Data imbalance was addressed using the SMOTE technique to improve classification stability. Results showed that XGBoost achieved the best performance across all evaluation metrics, with an AUC of 0.948, indicating strong discriminative ability. Feature importance analysis revealed that recency, transaction frequency, voucher usage rate, and app session frequency were the most influential predictors of churn. These variables indicate declining engagement and reduced responsiveness to promotional incentives, which are key behavioral signals of churn. The study contributes to both academic literature and practical applications by demonstrating how behavioral analytics and machine learning can support early churn detection and inform targeted retention strategies. Implementing such predictive systems can help e-commerce platforms optimize customer lifetime value and reduce revenue loss.
Google Ads Optimization as a Digital Marketing Strategy in Increasing the Competitiveness of Fashion MSMEs Ikhsan Nendi; Abdullah Abdullah; Arif Maulana
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1261

Abstract

This research aims to develop and validate the Google Ads Optimization Framework for Fashion SMEs (GAOF-FS) as a strategic solution to increase the competitiveness of fashion MSMEs in the digital era. Using a Design Science Research approach with a mixed-method method, this research involved 30 fashion MSMEs in Cirebon through surveys, in-depth interviews, and Focus Group Discussions. The results of the analysis showed that 67.3% of MSMEs experienced limited digital knowledge, 72.8% were constrained by budget, and 81.5% had digital positioning difficulties. Only 3.3% of MSMEs are actively using Google Ads. The GAOF-FS framework developed consists of four integrated modules: (1) Strategic Planning Module with components of ecosystem analysis, competitor mapping, and campaign objective determination; (2) The Campaign Design Module includes a keyword research framework, ad copywriting template, and landing page optimization; (3) Budget Management Module with dynamic allocation model and ROI calculator; (4) Performance Monitoring Module with dashboard analytics and GAPS metrics. Expert validation shows an approval rate of 87.5% for relevance, 85.0% for technical feasibility, 90.0% for user-friendliness, and 88.8% for potential impact. User validation (MSMEs) resulted in a usability score of 4.23/5, perceived usefulness 4.47/5, ease of use 4.15/5, and intention to use 4.38/5. This framework provides academic contributions in the form of adaptive models based on local contexts and practical contributions in the form of operational guidelines that are applicable to MSMEs with limited digital literacy.
Co-Authors Abdul Robi Fazri Abdullah Abdullah Abdurokhim Abdurokhim Aen Fariah Aen Fariah Agus Rohmat Hidayat Ahmad Kamaludin Ajat Sudrajat Akam Azad Mohamedamin Amelia Amelia Anak Agung Alit Merthayasa Anisa Ayu Dwi Lestari Anton Budiyono Antonio Guterres Arif Maulana Arman Md Arman Md Askarno, Askarno Azzahra, Adelia Chiska Nova Harsela Darwanto Darwanto Dedy Setiawan Difa Ameliora Pujayanti Dodi Sunanto Eko Siswo Adi Sahputra Fahira, Siti Hafsah Fauziatul Fajaroh Feri Hardianto Feri Hardiyanto Fitri Maghdalena Hery Nariyah I Wayan Dasna Kamilla, Puteri Koesharijadi Koesharijadi Koesharijadi Koesharijadi Koesharijadi, Koesharijadi Lestari, Anisa Ayu Dwi Mahfud Mahfud Merthayasa, Anak Agung Alit Muhammad Asril Maulana Muhammad Fadil Himawan Nur Alifah Nurjanah, Aisyah Parlan . Rexy Nakula Urbaningrum Rusly Hidayah Santika, Rani Saona, Saona Savandha, Septien Dwi Siti Komara Zanyar Nathir Ghafar Zuhriyah, Nabilaa Faizatuz