PILAR https://jurnal.polsri.ac.id/index.php/pilar <p><strong><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">PILAR</span></span></strong><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"> (</span></span><a href="http://u.lipi.go.id/1180426008" target="_blank" rel="noopener"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">P-ISSN: 1907-6975</span></span></a><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">, </span></span><a href="http://u.lipi.go.id/1584342064" target="_blank" rel="noopener"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">E-ISSN:2722-2926</span></span></a><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">) </span></span></p> <p><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><strong>PILAR</strong> Is a journal in the field of Civil Engineering that publishes writings and research articles that have been carried out so that they can inspire and benefit the wider community. </span></span></p> <p><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><strong>This PILAR journal</strong> aims to assist and monitor the management of the results of research and literature studies conducted by the academic community and to disseminate experiences and insights gained from these activities, as well as to build and develop equal cooperation in publishing activities and scientific publications at local and national levels. .</span></span><strong> </strong></p> <p><a href="https://docs.google.com/document/d/1-pGv8_KnuIOEVo2aTmYZGAaKQ87FY0Gn/edit?usp=sharing&amp;ouid=105233528295085112613&amp;rtpof=true&amp;sd=true"><strong>JURNAL TEMPLATE</strong></a></p> <p><a href="https://docs.google.com/document/d/1-pGv8_KnuIOEVo2aTmYZGAaKQ87FY0Gn/edit?usp=sharing&amp;ouid=105233528295085112613&amp;rtpof=true&amp;sd=true" target="_blank" rel="noopener"><img src="https://jurnal.polsri.ac.id/index.php/pilar/management/settings/context/data:image/png;base64,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" alt="" width="196" height="43" /></a></p> en-US iin_indrayani@polsri.ac.id (Dr. Indrayani, S.T., M.T.) jurnal.pilar@polsri.ac.id (Afandi) Wed, 20 Mar 2024 12:01:49 +0700 OJS 3.2.1.4 http://blogs.law.harvard.edu/tech/rss 60 PERANCANGAN JEMBATAN PERTAGAS DENGAN SISTEM KOMPOSIT BAJA DAN BETON BENTANG 70 https://jurnal.polsri.ac.id/index.php/pilar/article/view/2369 Jembatan Pertagas yang berada di Tol KAPB 2A Ogan Ilir Jembatan Pertagas yang berada di Tol KAPB 2A Ogan Ilir Sumatera Selatan merupakan jembatan bentang panjang dengan fungsi menghubungkan ruas jalan tol yang terpisah oleh pipa minyak dan gas milik PT. Pertamina Gas. Memiliki panjang bentang 70 meter dan lebar 25,2 meter, jembatan ini menggunakan sistem komposit baja dan beton dengan gelagar memanjang berupa Steel Box Girder. Dalam merancang jembatan ini mengacu kepada SNI1725:2016 (Pembebanan untuk Jembatan), RSNIT-12-2004 (Perencanaan Struktur Beton untuk Jembatan), RSNIT-03-2005 (Perencanaan Struktur Baja untuk Jembatan), AASHTO LRFD Bridge Design Specifications Fifth Edition, Australian Standard, dan sumber pustaka lainnya. Perancangan Jembatan Pertagas meliputi bangunan atas yaitu pelat lantai kendaraan, parapet, gelagar memanjang, sambungan baut pada gelagar memanjang, diafragma, dan elastomer, serta bangunan bawah yaitu abutment dan pondasi tiang pancang. Spesifikasi yang digunakan adalah Spesifikasi Umum Edisi 2010 Revisi 3. Berdasarkan hasil analisis, perancangan Jembatan Pertagas membutuhkan biaya sebanyak Rp. 70.395.225.000,- dengan waktu pelaksanaan selama 179 hari kalender.<div> </div><div>Pertagas Bridge located in KAPB 2A Toll Ogan Ilir South Sumatera is a long span bridge which connects the separate toll road segment because of oil and gas pipelines owned by PT. Pertamina Gas. Having a span length of 70 meters and the width of 25,2 meters, this brige uses steel and concrete composite system utilizing Steel Box Girder. In the process of designing the bridge refers to SNI 1725:2016 (Standard Loading for Bridge), RSNIT- 12-2004 (Design of Concrete Structure for Bridge), RSNIT-03-2005 (Design of Steel Structure for Bridge), AASHTO LRFD Bridge Design Specifications Fifth Edition, Australian Standarad, and another literature. The design of Pertagas Bridge consists of superstructure such as deck, parapet, girder, bolt connections in the girder, diaphragm, and elastomeric bearing, also substructure such as abutment and spun pile foundation. The specification used in this design is General Specification 2010 Edition Third Revision. Based on the analysis result, the design of Pertagas Bridge requires cost Rp. 70.395.225.000,- with the total period of construction 179 days.</div> Renaldi Muharram, Muhammad Nata Persada Copyright (c) 2024 PILAR https://jurnal.polsri.ac.id/index.php/pilar/article/view/2369 Wed, 20 Mar 2024 00:00:00 +0700 METODE PERANCANGAN TEBAL PERKERASAN JALAN KAKU MENGGUNAKAN PEDOMAN PERENCANAAN PERKERASAN JALAN BETON SEMEN https://jurnal.polsri.ac.id/index.php/pilar/article/view/6749 <p>Roads have a very important role in life, including smoothing the flow of traffic, distribution of goods and services, as access to transportation between one region and another and can improve the economy in people's lives.</p> <p>In geometric and rigid pavement thickness design, there are basic references which include road class, horizontal alignment, vertical alignment and&nbsp;determination&nbsp;of pavement thickness.</p> <p>Based on the analysis and calculation of&nbsp; Pagar Alam City – Muara Pinang roads&nbsp;STA 22 + 750 – STA 28 + 650&nbsp;belongs to the&nbsp;class IA&nbsp;arteri&nbsp;roads&nbsp;with a&nbsp;width of the road 3.5 x 2&nbsp;m, and the shoulder of the road 1.5&nbsp;x 2&nbsp;m&nbsp;as well as using 8 curves is, 3 <em>Full</em> <em>Circle</em>&nbsp;curves, 3&nbsp;<em>Spiral-Circle-Spiral</em>&nbsp;curves and 2&nbsp;<em>Spiral-Spiral</em>&nbsp;curve.&nbsp;Pavement thickness design using a type of rigid pavement segmental construction without reinforcement by using joints and has a thick concrete plate of 21 cm (fc' 35 Mpa), aggregate foundation layer of 15 cm and stabilized base ground with a CBR of 6,8%. The construction of this road was carried out for 268 days with a total cost Rp87.533.871.173,-</p> <p>&nbsp;</p> <h1>Keywords: Geometric Design, Rigid Pavement Thickness, Construction Cost Estimates</h1> Slamet Mardi Prastyanto, Muhammad Rendy Copyright (c) 2024 PILAR https://jurnal.polsri.ac.id/index.php/pilar/article/view/6749 Wed, 20 Mar 2024 00:00:00 +0700 THE EFFECT OF ADDING LDPE AND POLYPROPYLENE PLASTIC WASTE AS SUBTITUTE IN THE AC-WC PAVEMENT https://jurnal.polsri.ac.id/index.php/pilar/article/view/5201 <p><em>In Indonesia, the most frequently used pavement for road construction is flexible pavement with the main material using asphalt. Caused of that, needed to develop asphalt technology to improve asphalt quality. One of alternative that can be used is modifying asphalt by adding other polymer materials, plastic. This study aims to determine the effect of a mixture of Low Density Polyethylene (LDPE) and Polypropylene plastic to Asphalt Concrete Wearing Course (AC-WC) mixture. Furthermore, first stage of this research is making specimens to find the Optimum Asphalt Value (KAO), then making Marshall specimens by substituting a mixture of LDPE and Polypropylene plastic with a variation of 3%; 4%; 5%; 6%; and 7% for the optimum asphalt content. Based on the results of the analysis of the Marshall characteristics data on the plastic mixture test object, the most optimum percentage of plastic value obtained is 1529,450 kg(stability value), for the flow value is 3,018 mm,&nbsp; VIM value is 4,950%, VFA value is 67.089%, VMA value is 15.044% and Marshall Quotient value is 506.860 %.</em></p> Muhammad Vallery Al Tansha, Tiana Fatwa Maharani, Dafrimon, Amiruddin Copyright (c) 2024 PILAR https://jurnal.polsri.ac.id/index.php/pilar/article/view/5201 Wed, 20 Mar 2024 00:00:00 +0700 THE EVALUASI INTEGRITAS TIANG BOR DENGAN PENGUJIAN CROSSHOLE SONIC LOGGING (CSL) https://jurnal.polsri.ac.id/index.php/pilar/article/view/8482 <p>The assesment of structural integrity in civil engineering construction is often assesed for ensuring the safety and the longevity of inftrasturture. A common assesment typically required some attachment sensors on area selection of reviewing before and after construction phase. Bored piles as bottom foundation element that distributed loads from upper structure to the soil layer requires thorough inspection to detect defects from light to heavy damage that may compromise their stability. This study aims to investigate the accuracy and precision of CSL (Crosshole Sonic Logging) as a defect indicator in diagnosing bored pile conditions. The study involves some points of CSL test in the site to identify and quantify potential defects The findings can be used to enhance the understanding of CSL as a diagnostic tool for bored piles and improving the overall foundation assessment methodologies.</p> <p>Keywords : pile assessment, CSL, bored pile, foundation</p> Dhevi Mulyanda, Rajinda Syadazali Bintan, Siti Nur Indah Sari Copyright (c) 2024 PILAR https://jurnal.polsri.ac.id/index.php/pilar/article/view/8482 Wed, 20 Mar 2024 00:00:00 +0700 TINJAUAN LENDUTAN PADA PEKERJAAN CORE TEAM DI RUAS JALAN BANGKA BELITUNG https://jurnal.polsri.ac.id/index.php/pilar/article/view/6874 <p>Perkerasan jalan merupakan lapisan perkerasan yang terletak diantara lapisan tanah dasar dan roda<br />kendaraan yang berfungsi memberikan pelayanan kepada kendaraan dan selama masa pelayanannya tidak terjadi<br />kerusakan yang berarti.. Penelitian ini bertujuan untuk merencanakan tebal lapis tambah (overlay) dengan<br />menggunakan alat Benkelman Beam agar pekerjaan perencanaan dan pengawasan jalan nasional terlaksana<br />sesuai rencana yang tepat mutu, tepat waktu, dan tepat biaya. Penelitian ini mengambil wilayah kajian studi di<br />Bangka Belitung dengan 3 ruas jalan, yaitu jalan Tanjung Kelian- Ibul dengan panjang ruas 52,19 dan jumlah<br />titik 20. Selanjutnya pada jalan Lumut- Puding Gebak yang memiliki panjang ruas 29,63 dengan jumlah titik 6. Lalu pada jalan Sp. Pelabuhan Pangkal Balam- Sp Jalan Alexander dengan panjang ruas 4,78 m dengan jumlah<br />titik 4. Dalam penelitian ini pengambilan data lendutan dengan Bankelman Beam yang dilakukan di beberapa<br />STA yang dianggap dapat mewakili ruas jalan tersebut, baik itu dari sisi kanan dan sisi kiri. Selanjutanya, data<br />lendutan ini akan dianalisis dengan menggunakan Pd T- 05- 2005- B. Terdapat selisih antara perhitungan Pd. T- 05-2005-B dengan Pd. No. 002/P/BM/2011 dikarenakan terdapat perbedaan penentuan dwakil yang digunakan<br />dalam perhitungan. Namun tidak terlalu signifikan terhadap perhitungan keduanya. Sehingga tebal perkerasan<br />pada kedua metode tersebut dapat digunakan dalam perencanaan tebal lapis tambah (overlay) pada ruas – ruas<br />tersebut.</p> Wardatul Jamilah Asmara, Rajinda Syadzali Bintang, Nadra Mutiara Sari Copyright (c) 2024 PILAR https://jurnal.polsri.ac.id/index.php/pilar/article/view/6874 Wed, 20 Mar 2024 00:00:00 +0700