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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Asian Journal Science and Engineering Riwayat: Educational Journal of History and Humanities
Amnifu, Lodia Semaya
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Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Colony Cage Systems with Tunnel Ventilation and Automatic Feeding: A Review of Innovations and Their Effects on Productivity and Health of Laying Hens Mangngi, Frans; Y.I. Sakan, Gerson; Hanmina, Marsianus Mario Fredirikus; Pono, Viky George Lettu Radja; Amnifu, Lodia Semaya; Nafi, Sulche Ifone
Riwayat: Educational Journal of History and Humanities Vol 8, No 4 (2025): Oktober, Social Issues and Problems in Society
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i4.49001

Abstract

The poultry industry has experienced significant transformation driven by innovations in housing systems aimed at improving productivity and animal welfare. This study focuses on the integration of colony cage systems with tunnel ventilation and automatic feeding technologies as a comprehensive approach to optimize laying hen performance. The objective is to review existing literature to assess the impacts of these innovations on productivity indicatorssuch as egg production rate, feed conversion ratio, and resource efficiencyand on health outcomes including stress markers, plumage condition, and mortality rates. A qualitative literature review method was applied, synthesizing data from peer-reviewed journals, conference proceedings, and credible academic sources published between 2020 and 2025. Content analysis was employed to categorize findings into themes of productivity, health, feed efficiency, and welfare. Results indicate that colony cage systems enriched with perches and nesting areas allow hens to perform natural behaviors while maintaining production efficiency. Tunnel ventilation contributes to environmental stability, reducing heat stress and supporting consistent feed intake, whereas automatic feeding systems minimize feed wastage, ensure precise ration delivery, and lower stress associated with competition. When integrated, these technologies synergistically improve egg production rates, enhance feed efficiency, reduce stress markers, and decrease mortality. Nevertheless, outcomes remain highly dependent on system design, strain adaptation, and management practices. Overall, integrated colony cage systems with tunnel ventilation and automated feeding offer a promising direction for sustainable and welfare-oriented poultry farming.
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 Banoet, Yusril Melkisedek Bria, Theresia Avila Hanmina, Marsianus Mario Fredirikus Joko Suparmanto Kore, Desri Marfenita Hale Liem, Ferdinan Nikson Loden, Onisius Mangngi, Frans Nafi, Sulche Ifone Pono, Viky George Lettu Radja SERAN, Engelbertha N. BRIA Y.I. Sakan, Gerson