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PENINGKATAN EFISIENSI PROSES ADMINISTRASI DESA MELALUI IMPLEMENTASI SISTEM MANAJEMEN DOKUMEN TERINTEGRASI Riduan Siagian; Jumadiah Wardati; Nana Soraya
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1031

Abstract

This Community Service activity aims to improve the efficiency of village administration processes through the implementation of an integrated Document Management System (DMS). The main problems faced by partners include long file searches, document duplication, non-standard storage, the risk of archive loss/damage, and undocumented disposition flows. The implemented solutions include process mapping, the development of archiving SOPs, the establishment of document classification structures, the digitization of priority documents, and training on DMS use and access governance. The results of the activity showed improvements in document retrieval times, archive tidiness, and document traceability, along with increased capacity of village officials in standardized document management.
PERBAIKAN PROSES PENGADAAN BARANG/JASA PADA INSTANSI LOKAL DENGAN TRANSPARANSI DAN EFISIENSI BIAYA Uning Heri Gagarin; Jumadiah Wardati; Elia Agus Victoria
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1033

Abstract

This PkM program focuses on improving the procurement process of goods/services in local agencies to make it more transparent, accountable, and cost-efficient. Common problems include unplanned needs, non-uniform procurement documents, poorly documented supplier selection, repetitive purchases without standardized specifications, weak acceptance controls, and slow realization reporting. Interventions are carried out through as-is process mapping, waste and risk analysis, preparation of SOPs and document templates, strengthening price comparison mechanisms and supplier evaluations, and training procurement implementers. Outputs include end-to-end procurement SOPs, specification/standard catalogs, monitoring dashboards, and recommendations for savings and internal controls.
ANALISIS PERILAKU PEMBELIAN IMPULSIF DALAM KONTEKS LIVE COMMERCE DI PLATFORM SHOPEE Riduan Siagian; Jumadiah Wardati; Monang Tumangger
Jurnal Industri Kreatif dan Inovatif Vol. 2 No. 2 (2024): Desain Grafis dan Media Interaktif
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v2i2.1045

Abstract

This study examines impulsive buying behavior in the context of live commerce on the Shopee platform, in line with the rapid growth of live commerce in Indonesia. Using a mixed-methods sequential explanatory design, the research integrates a quantitative phase (online survey), a qualitative phase (in-depth interviews and netnography), and stimulus effectiveness testing through A/B testing. The conceptual framework is developed based on the Stimulus–Organism–Response (S-O-R) model with modifications that incorporate social interaction as part of the stimulus and leads to impulsive responses. The findings indicate that live commerce features—such as social interaction features, scarcity cues, entertainment value, and ease of purchase—affect consumers’ psychological states, particularly emotional arousal and FOMO (Fear of Missing Out), which in turn drive impulsive buying. Moreover, social influence and cognitive engagement function as critical moderators that strengthen the relationship between live commerce stimuli and impulsive buying tendencies. Qualitative insights, netnography, transaction data analysis, and eye-tracking results reveal a temporal mechanism of impulsive buying across activation–amplification–action stages, including a predictable “impulse window” within live sessions. The study also highlights post-purchase outcomes, such as regret and the need for self-control, providing both theoretical contributions and practical recommendations for merchants, the platform, and consumers.
PENERAPAN SISTEM PENGENDALIAN INTERNAL UNTUK TRANSPARANSI DAN AKUNTABILITAS KEUANGAN KELURAHAN Riduan Siagian; Jumadiah Wardati; Monang Tumangger
Jurnal Industri Kreatif dan Inovatif Vol. 2 No. 2 (2024): Desain Grafis dan Media Interaktif
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v2i2.1055

Abstract

This article discusses the implementation of an Internal Control System (SPI) to improve transparency and financial accountability in village/urban-ward administration (kelurahan) in Indonesia. Without adequate controls, financial management may lead to risks such as incorrect record-keeping, unauthorized expenditures, incomplete transaction evidence, duplicate payments, delayed reporting, and low public transparency. The research aims to implement SPI by developing standard operating procedures (SOP) and key controls, mapping financial processes and risk points, providing simple administrative templates, training kelurahan staff, and establishing monitoring and reporting mechanisms (including a concise dashboard). The SPI framework follows common practices (e.g., COSO) adapted to the kelurahan context, covering control environment, risk assessment, control activities (authorization, segregation of duties, document controls, reconciliation, and access restrictions), information and communication, and monitoring. The expected outputs include SPI policy documents, administrative templates (transaction registers, evidence checklists, minutes/record forms, reconciliation formats, and asset logs), as well as a dashboard for realization and document compliance. The findings indicate that implementing SPI can significantly improve financial compliance and accountability, though several challenges still need to be addressed to ensure the system’s sustainability.
INTEGRASI AI/ML UNTUK MITIGASI RISIKO OPERASIONAL DI PERUSAHAAN INDUSTRI BEI Uning Heri Gagarin; Jumadiah Wardati; Lidia Simanjuntak
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 1 (2025): Desain Komunikasi Visual
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i1.1058

Abstract

Digital technology has introduced major disruption to operational risk management, particularly for industrial companies listed on the Indonesia Stock Exchange (BEI). The growing complexity of operations increases the difficulty of identifying and mitigating risks such as process failures, human error, outdated systems, and external disruptions—factors that can threaten business continuity and cause significant losses. This study examines how the integration of Artificial Intelligence (AI) and Machine Learning (ML) can be applied strategically to improve the accuracy, speed, and efficiency of operational risk mitigation in BEI-listed industrial firms. The main focus includes the benefits of AI/ML implementation: predictive analytics for risk identification, real-time monitoring and anomaly detection, automation of routine tasks to reduce human error, efficiency gains and cost savings, as well as improved regulatory compliance and data security. It also addresses effective implementation strategies such as starting with low-risk pilot projects, fostering cross-department collaboration and workforce training, establishing strong governance and oversight (human-in-the-loop), improving data quality and mitigating algorithmic bias, and aligning the approach with regulatory requirements and security standards. The paper further presents practical examples including predictive maintenance, sentiment analysis for reputation risk mitigation, and AI/ML-based automation for compliance reporting and auditing. Overall, the study concludes that AI/ML is not an instant solution, but a transformative approach requiring careful planning, high-quality data, integration with existing systems, and organizational readiness through training and robust governance to minimize operational risk, enhance efficiency, and maintain competitiveness.