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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Konstruksia Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Teras Jurnal RACIC : Rab Construction Research Dinamisia: Jurnal Pengabdian Kepada Masyarakat BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan SIKLUS: Jurnal Teknik Sipil Jurnal Pensil : Pendidikan Teknik Sipil JURNAL KAJIAN TEKNIK SIPIL JURNAL SAINTIS Jurnal Infrastruktur Journal of Logistics and Supply Chain Teknika Journal of Infrastructure and Civil Engineering Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Jurnal Teknik Sipil Institut Teknologi Padang SAINSTEK Jurnal Teknologi & Rekayasa Sipil Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi BATOBO: Jurnal Pengabdian Kepada Masyarakat Hawa : Jurnal Pemberdayaan Dan Pengabdian Masyarakat (HAWAJPPM) Journal of Infrastructure and Construction Technology
Benny Hamdi Rhoma Putra
Jurusan Teknik Sipil, Universitas Riau, Jalan Hr. Subrantas KM12,5 Pekanbaru
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Analisis Karakteristik Arus Lalu Lintas Dengan Model Greenshield, Greenberg dan Underwood di Ruas Jalan Kota Pekanbaru (Studi Kasus Jalan Hr. Soebrantas KM. 9,5 Kota Pekanbaru) Athallah, Afif; Rhoma Putra, Benny Hamdi; Djuniati, Sri
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.v12i2.263

Abstract

Traffic congestion on HR Soebrantas Street in Pekanbaru has become a serious issue. This provincial road, serving as a 4/2D collector road, connects Pekanbaru City and Kampar Regency. The u-turn at KM 9.5, in front of BANK BCA Panam, is the focus of the study. Utilizing MKJI 1997 and Regression Analysis (Greenshield, Greenberg, Underwood models), the highest coefficient of determination occurred on June 24, 2023, with an R2 of 0.973. In the Underwood model, the relationships (U-D): U = 43.403 x e-D/162.275, (V-D): V = D x 43.403 x e-D/162.275, (V-U): V = Us x 162.275 x Ln (43.403/Us). Maximum volume is 2,591,078 pcu/hour, maximum density is 162,275 pcu/km, maximum speed is 15,967 km/h, and free flow speed is 43,403 km/h. According to MKJI, the capacity (C) is 3,312,910 pcu/hour, with a Level Of Service of F (DS = 1,685), indicating characteristics of congested and stalled traffic.
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 Adiman, Edi Yususf Ainun Rahmawati Alex Kurniawandy Alfian Malik Andre Kurniawan Andre Kurniawan Aprilia, Khoirunnisa Athallah, Afif Choryn Munadiyatul Haq Doni Rinaldi Basri Dwi Novi Wulansari Dzakiyyah Yasmin Dzahabiyyah Edi Yusuf Adiman Elianora - Erzag, Almira Nabila Firzal, Yohannes Fitra Lestari Fitra Ramdhani, Fitra Harnedi Maizir Hendra Taufik Hidayati, Ermi Ikhlasul Febrianto Jennyfer Sudastin Joko Siswanto Leo Sentosa Lestari, Astri Lyona, Vinka M. Rilly A Yogi M. Rilly Aka Yogi M. Rilly Aka Yogi M. Rilly Aka Yogie Makarim, Muhammad Iqbal Mardani Sebayang MG, Intan Monica Naissya Shafa Kamila Zahra Novreta Ersyi Darfia Poppy Nurmayanti Praksa, Rizqy Ridho Pramono, Riko Aditiya Rahmat Tisnawan Rahmat Tisnawan, Rahmat Raihan Arditama Harnedi Reni Suryanita Rizky Ridho Prakasa Rizqy Ridho Prakasa Rizqy Ridho Praksa Sabrina Mutiara Fajrin Safridatul Audah Siswanto Siti Shofiah Sri Djuniati Sri Djuniati Sudastin, Jennyfer Suhanggi, Suhanggi Wulandika, Mia Yenita Roza Yogi Yogi Yogi, Muhammad Rilly Aka Yosi Alwinda Yosi Alwinda Yosi Alwinda Yosi Alwinda Yosi Alwinda, Yosi