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All Journal Jurnal Teknik Journal of Infrastructure and Civil Engineering SAINSTEK Jurnal Bangunan: Konstruksi & Desain BATOBO: Jurnal Pengabdian Kepada Masyarakat Jcommits : The Journal of Community Empowerment, Innovation, and Sustainability
MG, Intan Monica
Universitas Riau
Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Journal : SAINSTEK

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Pengujian Modulus Elastisitas Lentur Kayu Tembusu (Fragraea fragrans) di Pekanbaru Monica MG, Intan; Alfian Kamaldi; Andre Novan; Marlaily Idris
SAINSTEK Vol. 12 No. 2 (2024)
Publisher : Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/js.v12i2.292

Abstract

The flexural modulus of elasticity (MOE) is a critical parameter in assessing the mechanical performance of wood, particularly for structural applications. This study investigates the MOE of Tembusu wood (Fragraea fragrans), a tropical hardwood renowned for its durability and versatility in construction and furniture production. Specimens were prepared following SNI 03-3960-1995 standards, ensuring consistency in dimensions and testing protocols. A three-point bending test was employed to evaluate the flexural MOE under controlled laboratory conditions. The results reveal that Tembusu wood exhibits a high flexural modulus, averaging 10.000 MPa, making it comparable to other hardwood species used in structural applications. Additionally, microscopic analysis of wood fibers indicated a correlation between the density and elastic behavior of the material. The study concludes that Tembusu wood possesses excellent bending properties, demonstrating its suitability for beams, joists, and other load-bearing applications. Recommendations for further research include exploring the effects of environmental factors such as humidity and temperature on the long-term performance of Tembusu wood. This research contributes to the growing body of knowledge on sustainable wood materials for engineering applications.
Analisis Faktor Koreksi Data Hujan Satelit Berdasarkan Data Observasi di DAS Rokan Provinsi Riau Ersyi Darfia, Novreta; Monica.MG, Intan; Prakasa, Rizqy Ridho; Lyona, Vinka; Putra, Benny Hamdi Rhoma; Adiman, Edi Yusuf
SAINSTEK Vol. 13 No. 1 (2025)
Publisher : Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/js.v13i1.340

Abstract

Ketersediaan data curah hujan yang akurat dan berjangka panjang merupakan komponen penting dalam analisis hidrologi dan rekayasa sumber daya air. Namun, data observasi dari stasiun hujan observasi seringkali mengalami kendala seperti keterbatasan panjang data, distribusi lokasi stasiun yang tidak merata, serta adanya data hilang dan tidak valid. Penelitian ini bertujuan untuk mengkoreksi data curah hujan satelit dari Climate Forecast System Reanalysis (CFSR) agar mendekati nilai data observasi yang sebenarnya. Metode koreksi yang digunakan adalah Metode Persamaan Linear. Hasil analisis menunjukkan bahwa metode ini mampu mengkoreksi data CFSR sehingga mendekati nilai data observasi. Metode persamaan linear memberikan pendekatan awal yang sederhana namun belum mampu memperbaiki nilai ekstrem. Penelitian ini membuktikan bahwa koreksi data dapat meningkatkan kesesuaian data satelit dengan observasi, namun penerapan faktor koreksi tidak selalu berhasil secara seragam di semua lokasi karena tingginya variabilitas hujan.
Co-Authors Astuti, Santi Widi Benny Hamdi Rhoma Putra Dwi Visti Rurianti Edi Yusuf Adiman Kamaldi, Alfian Lyona, Vinka Marlaily Idris MUSYAFFA RIFQI HARIMARDIKA Novan, Andre Novreta Ersyi Darfia Prakarsa, Rizqy Ridho Putra, Nanda Dwi Randhi Saily Reni Suryanita Rizqy Ridho Prakasa Tauladan, Muhammad Wafiq Viona Yolanda, Yogi