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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Pengabdian Masyarakat (ABDIRA) Asian Journal Science and Engineering
Bria, Theresia Avila
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Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Social Sciences Other

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Dukungan Infrastruktur Teknologi untuk Mempercepat Produksi dan Memperluas Pasar Kacang Teng-Teng di Kota Kupang Liem, Ferdinan Nikson; Bria, Theresia Avila; Saduk, Melsiani Rosdiani Fillipin; Hattu, Edwin Pieter Dominggus; Wabang, Jhon Arnoldos
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 1 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i1.1349

Abstract

The Divan Karya peanut brittle (kacang teng-teng) business in Kupang City has experienced a decline in production capacity due to limited labor and the continued use of manual equipment. This community service program aims to improve productivity and market reach through the diffusion of production technology and digital marketing training. The solutions implemented include redesigning the roasting drum using heat-resistant aluminum with a bearing system, and developing a semi-automatic mixing device. Trial results show that roasting time was reduced from approximately 50 minutes to 10 minutes, increasing production capacity from 250 packages/day to 2,000 packages/day while reducing the required labor from two workers to only one. In terms of marketing, the business owner was successfully onboarded to digital platforms to expand product distribution. Overall, technology support significantly enhanced production efficiency and strengthened the competitiveness of this peanut brittle UMKM.
From Problematic Projects to Smart Solutions: A Literature Review on the Role of AI in Modern Project Management Bria, Theresia Avila; Suparmanto, Joko; Loden, Onisius; Amnifu, Lodia Semaya; Seran, Engelbertha N. Bria
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2050

Abstract

Despite extensive methodological progress, project failure rates remain persistently high across sectors such as construction, information technology, and public infrastructure. This study employs a Systematic Literature Review (SLR) based on the PRISMA framework, analyzing 78 peer-reviewed articles published between 2015 and 2025 from databases including Scopus, Web of Science, IEEE Xplore, ScienceDirect, and SpringerLink. The review identifies three primary categories of factors contributing to project failures: (i) organizational shortcomings such as weak planning, limited stakeholder engagement, and ineffective risk governance; (ii) external disruptions linked to market volatility, regulatory changes, and environmental instability; and (iii) technical and operational deficiencies, including reactive monitoring and resource mismanagement. Within this context, Artificial Intelligence (AI) emerges as a transformative enabler in project management. AI applications are grouped into four domains: early risk detection and prediction, decision support and optimization, real-time monitoring and control through IoT and analytics, and systematic learning from failed projects using knowledge-driven approaches. While the literature emphasizes AI’s role in achieving project success, this study highlights its corrective and recovery potential for failing projects. The paper proposes reframing AI not only as a success enabler but as a critical tool for failure prevention and recovery. Future research should prioritize empirical validation, hybrid human–AI decision-making models, and cross-sectoral applications to strengthen AI’s role in building adaptive and resilient project management frameworks.
Analisis Kinerja Proyek Konstruksi Menggunakan Earned Value Management dan Microsoft Project Amnifu, Lodia Semaya; Bria, Theresia Avila; Liem, Ferdinan Nikson; Kore, Desri Marfenita Hale; Banoet, Yusril Melkisedek
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i11.62585

Abstract

Delays and cost deviations remain common challenges in construction projects, particularly in government-funded projects where administrative and regulatory dynamics can influence implementation. This study aims to evaluate the time and cost performance of the construction of the Social Service Building of East Nusa Tenggara Province using the Earned Value Management (EVM) method integrated with Microsoft Project. The research employed a quantitative descriptive approach based on primary data from weekly progress reports and field observations, as well as secondary data such as the S-curve, Work Plan and Requirements (RKS), and unit price analyses. A total of 1,200 project activities were reconstructed in Microsoft Project to develop detailed scheduling, resource assignments, baseline estimation, and performance tracking. The results indicate that the project experienced significant delays at Week 34, with a Schedule Variance of –54.87% and a Schedule Performance Index of 0.45. However, the project remained under budget, reflected by a Cost Variance of 0.64% and a Cost Performance Index of 1.01. Projection analysis estimates that the project will be completed in Week 76, indicating substantial schedule slippage, although the cost at completion is predicted to remain below the original budget.
Co-Authors Amnifu, Lodia Semaya Banoet, Yusril Melkisedek Hattu, Edwin Pieter Dominggus Joko Suparmanto Kore, Desri Marfenita Hale Liem, Ferdinan Nikson Loden, Onisius Saduk, Melsiani Rosdiani Fillipin SERAN, Engelbertha N. BRIA Wabang, Jhon Arnoldos