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Andrisman Satria
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INDONESIA
Jurnal Teknik Sipil dan Teknologi Konstruksi
Published by Universitas Teuku Umar
ISSN : 24775258     EISSN : 2502051X     DOI : -
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
Jurnal Teknik Sipil dan Teknologi Konstruksi ini merupakan jurnal yang terbit setiap dua (2) tahun sekali, yaitu Bulan April dan Bulan Oktober. RuangLingkup ilmu yang dapat masuk pada jurnal ini ialah Struktur, Material, Sumber Daya Air, Manajemen dan Transportasi. Artikel yang diterbitkan dalam jurnal ini dire-view oleh para reviewer yang telah berpengalaman. Jurnal Teknik Sipil dan Teknologi Konstruksi ini sangat membantu para pembaca dan penulis untuk mengembangkan keilmuannya.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 206 Documents
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Pola Kegagalan Balok Beton Bertulang Spiral Tanpa Beton Pada Penampang Tarik Astiah Amir; Aulia Rahman; Yulita Rahmi; Veranita Veranita; Dewi Purnamasari
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7359

Abstract

Abstract The exploration of natural materials to produce concrete has an impact on environmental conditions and global warming that can cause natural disasters. Therefore, the use of concrete materials must be as efficient as possible. One solution to overcome this problem is to reduce the concrete in the tensile area and strengthen the beam using steel reinforcement in the support area. This study aims to determine the effect of tensile reinforcement on the behavior of beams without concrete in the tension area using a spiral system on crack patterns and beam patterns. The method used was an experimental method by making 2(two)specimens, a normal concrete beam (BN) as a control beam, and a spiral concrete beam without reinforcement in the tensile section with the addition of experimental reinforcement at the support section (BTRS 60D) where D is the diameter of the main reinforcement. The beams were designed as normal quality concrete beams with concrete quality of 45.07 MPa at the testing age of 28 days. The beam's dimension was 150 mm x 200 mm x 3100 mm. This study obtained the ultimate load on the BTRS specimen of 35.1 kN. While on the BN specimen, the ultimate load reached 47.65 kN. There was a decrease in BTRS service load by 27.57%. It is observed that the BN specimen experienced flexural cracks. The beam failure of the 2 test objects experienced beam failure that resembled under-reinforced where the reinforcing steel melted before the concrete was crushed. Keywords: spiral reinforcement, failure pattern, crack pattern.
Analisa Erosi dan Sedimentasi Di Hilir Kali Acai Guna Mencegah Daya Rusak Air Deliana Mangisu; Hery Dualembang
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7093

Abstract

The characteristics of the watershed (DAS) have an influence on the size of the discharge, erosion, and sediment in a watershed. Erosion is the process of wearing away topsoil by water or wind. The rate of erosion and sedimentation that occurs is often caused and influenced by climate, soil, topography, plants, land use, human activities, river hydraulic characteristics, and cross-sectional characteristics. The purpose of this study is to obtain information on the magnitude of erosion and sedimentation per unit area in the Acai River. The methods used for this research activity are primary and secondary data analysis methods, using the tools of the ArcGis, and Hecras programs and manual observations and measurements in the laboratory to obtain sedimentation values and shear stresses. The results obtained based on the observations and analysis carried out, the erosion rate using the USLE method was 110.90 tons/ha/year, the peak flood discharge was 18.64 m3/s (Q10) which could not be accommodated by the Acai River and the amount of sedimentation per unit area in the study location for the downstream area is 84,564,439 tons/ha
EVALUASI SIMPANGAN ANTAR LANTAI (INTER STORY DRIFT) PADA GEDUNG BERTINGKAT DENGAN METODE RIWAYAT WAKTU Fitry Hasdanita; Delfian Masrura; Fachruddin Fachruddin
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7239

Abstract

Aceh salah satu provinsi paling barat yang berada pada zona tektonik yang sangat aktif karena ada sembilan lempeng kecil lainnya yang membentuk jalur komplek selain tiga lempeng besar dunia. Peristiwa gempa yang terjadi di Aceh secara horizontal dan vertikal terjadi pada 26 Desember 2004 sebesar 9,2 Mw, 11 April 2012 dengan 8,6 Mw, 23 januari 2013 dengan 6,1 Mw dan Desember 2016 yang menyebabkan kerusakan serius pada bangunan dengan berbagai tipe pola keruntuhan. Ini merupakan faktor terpenting untuk evaluasi kerusakan bangunan dan desain seismik jika terjadi gempa. Simpangan antar lantai (inter story drift) menjadi faktor utama kerusakan bangunan akibat gempa. Nilai simpangan pada bangunan juga sebagai acuan untuk menentukan tingkat kerusakan pada suatu bangunan akibat gempa berdasarkan perencanaan berbasis kinerja. Penelitian ini bertujuan untuk menganalisis simpangan antar lantai (inter story drift) pada bangunan bertingkat untuk mengetahu tingkat kerusakan bangunan akibat gempa. Hal ini bertujuan untuk mengantisipasi atau melakukan upaya mitigasi pada saat terjadi gempa sehingga menguruangi kerugian materian dan korban jiwa. Hasil penelitian menunjukkan simpangan antar lantai maksimum sebesar 0.086 m akibat riwayat gempa Irpinia pada lantai 2 dalam arah X. Simpangan antar lantai maksimum arah Y sebesar 0,056 akibat gempa Irpinia. Nilai simpangan antar lantai maksimum memenuhi persyaratan SNI-1726-2019 tentang Tata Cara Perencaan Ketahanan Gempa Untuk Struktur Banguanan Geudng dan Non Gedung yaitu 0,548 m. Sehingga Gedung DPRA Kota Banda Aceh aman terhadap kegagalan simpangan antar lantai.<img 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
Pemanfaatan Sedimen Sungai dan Abu Batu Sebagai Bahan Pengisi Filler Pada Lapisan AC-WC Rahmat Djamaluddin; Andrisman Satria; Syafril Syafril
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 7, No 2 (2021): Jurnal Teknik Sipil & Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v7i2.7536

Abstract

Abstrak Penelitian ini menggunakan filler sedimen sungai dan batu dengan bahan pengikat aspal retona blend 55. Sedimen sungai dan abu batu merupakan partikel kasar, halus yang dapat digunakan sebagai bahan pengisi (filler) pada lapisan AC-WC. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan filler sedimen sungai dan abu batu terhadap karakteristik marshall pada lapisan AC-WC sesuai spesifikasi Bina Marga 2018 Revisi 1 Divisi 6 menggunakan variasi filler75%:25% dengan kadar aspal optimum 5,5%. Berdasarkan hasil penelitian didapat nilai stabilitas 1086,188 kg, flow 3,4 mm, VIM 4,16%, VMA 16,13%, VFA 74,22%, MQ 316,72 kg/mm pada rendaman 30 menit, stabilitas 1011,608 kg, flow 3,6 mm VIM 4,62%, VMA 16,53%, VFA 72,06%, MQ 278,93kg/mm pada rendaman 24 jam, hasil yang diperoleh setiap variasi filler memenuhi syarat spesifikasi Bina Marga 2018. Nilai durabilitas memenuhi persyaratan yaitu > 90% dari stabilitas normal dengan hasil 93,13%. Hasil ini menunjukkan bahwa filler sedimen sungai dan abu batu bisa digunakan dalam lapisan AC-WC. Keywords: Marshall, sedimen sungai, abu batu, AC-WC, aspal retona blend 55
Perlakuan Joint Balok Kolom Standar PBI 1971 Setelah Perkuatan Awal Dengan Ferrocement Delfian Masrura; Fitry Hasdanita; Muhammad Ikhsan; Aulia Rahman
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7145

Abstract

Sebuah konstruksi bangunan terdiri dari beberapa elemen, balok dan kolom adalah diantaranya. Elemen tersebut berfungsi sebagai penyangga beban konstruksi lainnya dan merupakan  salah satu komponen struktur utama pada sebuah bangunan. Untuk merencanakan bangunan yang tahan gempa, maka daerah yang perlu diperhatikan adalah pada titik pertemuan antara balok dan kolom agar energinya dapat terdisipasi dengan baik. Jika terjadi kegagalan pada daerah joint tersebut, maka  komponen lainnya akan merasakan dampaknya secara langsung. Maka, tujuan penelitian ini dilakukan adalah menganalisa kemampuan elemen joint balok kolom sebuah struktur bangunan yang dirancang sesuai dengan PBI 1971 yang sudah diberikan perkuatan sejak awal menggunakan ferrocement dalam menahan beban siklik yang diterima. Benda uji dirancang dengan menggunakan mutu beton sebesar 24,80 MPa dengan panjang balok 120 cm, lebar 30 cm dan tinggi 40 cm, serta kolom persegi bersisi 30 cm dengan tinggi 200 cm. Dimensi tulangan utama yang digunakan adalah 8Ø14 mm dan tulangan sengkang Ø10-100 mm. Terhadap benda uji diberikan pembebanan siklik, yang diberikan pada ujung balok dengan displacement masing-masing sebesar 0,75 mm; 1,5 mm; 3 mm; 6 mm; 12 mm; 24 mm dan pada akhirnya diberikan beban monotonik, yaitu pada benda uji diberikan beban sampai hancur. Diperoleh hasil setelah pengujian yaitu benda uji PBI 1971 dengan perkuatan menggunakan ferrocement sejak awal mampu menahan beban tekan sampai menghasilkan beban siklus yang terbesar adalah 7,71 tf, sedangkan untuk beban tarik yang paling besar diperoleh adalah 7,48 tf. Untuk displacement maksimum yang diperoleh adalah sebesar 48 mm. Hasil ini didapatkan pada saat dilakukan pembebanan secara monotonik terhadap benda uji tersebut.
Perbandingan Gaya Geser Dasar Struktur Gedung Fix Base dengan Base Isolation Tipe High Damping Rubber Bearing (Studi kasus Modifikasi Gedung H Rumah Sakit Rujukan Regional Cut Nyak Dhien Meulaboh) Andrisman Satria; Rahmat Djamaluddin; Syafri Yosep Kurniawan
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7537

Abstract

Abstract Aceh merupakan salah satu provinsi di Indonesia dengan instensitas kegempaan yang cukup tinggi sehingga kewaspadaan terkait kerusakan yang terjadi akan lebih besar baik ancaman jatuhnya korban jiwa serta kerusakan terhadap bangunan. Salah satu metode untuk mengurangi energi gempa yaitu dengan menambahkan seismic device pada bagman tertentu bangunan sesuai dengan fungsinya masing-masing. Salah satu sistem seismic device yang digunakan adalah menggunakan sistem isolasi dengan konsep memisahkan antara struktur bangunan bawah dengan bangunan struktur atas yaitu antara pondasi dengan kolom sehingga jika terjadi gempa, gaya yang diterima pondasi tidak langsung di terima oleh struktur kolom namun di redam oleh base isolation ini. Hasil analisis digunakan untuk mendesain gedung pada yang terletak di zona gempa kuat untuk daerah Aceh Barat dengan metode respons spektrum menggunakan software Etabs. Berdasarkan hasil perhitungan analisa struktur, gedung yang ditinjau menggunakan High Damping Rubber Bearing mengalami reduksi gaya geser pada struktur sebesar 16,44%.  Keywords:  Seismik, base isolation, Respons spektrum, HDRB, Software Etabs
ANALISIS PENGARUH HAMBATAN SAMPING TERHADAP KINERJA ARUS LALU LINTAS (STUDI KASUS : JL. JEND. A. YANI KOTA LANGSA) rizky renaldi
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7232

Abstract

AbstractSide friction is a term used to denote the interrelationship between traffic flow and activities along the side of the road. These side barriers often occur on Jalan Jend.A.Yani Kota Langsa, in fact the road is quite dense with shops that use the side of the road as a parking lot and a number of motorized vehicles coming in and out of the side of the road and the flow of vehicles moving slowly. This study uses the MKJI 1997 method which is very effective in planning, operational analysis of traffic, this method can be used to calculate the degree of saturation while other analytical methods can only perform calculations limited to capacity and service levels. Based on the results of side friction analysis in segment I (east direction) of 521.1 events/hour, segment I (west direction) of 526.6 events/hour. In segment II (east direction) 526.8 events/hour and segment II (west direction) 518.1 events/hour and in segment III (east direction) 500.4 events/hour. The three segments are included in the class of very high side resistance (VH). The degree of saturation is obtained from the ratio of traffic volume and road capacity, in each segment the value has a ratio value ≥1, this indicates that each road capacity is saturated and the service level value is in class F with restricted flow, low speed, heavy volume or close to capacity. Keywords— Degree of Saturation, Side Barriers.
Pengaruh Serat Ban Bekas dan Abu Batu Bara Terhadap Kuat Tarik Beton Bunyamin Bunyamin; Imransyah Idroes; Reska Wahyu Fauzha
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7092

Abstract

In today's modern era, technological developments are needed to increase development in all fields. The manufacture of concrete can use partial cement substitution materials through the use of industrial by-products such as fly ash and fiber waste from used tires. The benefit of this research is to develop knowledge about concrete technology. The method used in this research is the ACI 211.1-91 (American Concrete Institute) and ASTM (American Society for Testing and Materials) methods with variations in the addition of used tire fiber by 0%, 5%, 10%, 15%, and 5% addition of fly ash from the weight of cement in each variation. The test object used is a cylinder with dimensions of 15 cm x 30 cm with a total of 20 test objects, the planned concrete quality is 17.00 MPa. The tensile strength of concrete test was carried out at the age of 28 days. The results of this study are that concrete with a variation of 0% produces a tensile strength of 2.32 MPa; while the tensile strength with variations of 5%, 10% and 15% were 2.71 MPa, 2.50 MPa and 2.41 MPa. The tensile strength of concrete using tire fiber waste and fly ash increases compared to normal concrete.
ANALISIS DEFLEKSI JEMBATAN CABLE STAYED MENGGUNAKAN SOFTWARE ALLPLAN BRIDGE (ALUE BULOH BRIDGE) Azwanda Azwanda; Lissa Opirina; Deby Ulfa Zulka
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7318

Abstract

Jembatan Alue Buloh merupakan jenis jembatan rangka baja jenis warren truss dengan panjang 180 meter yang menghubungkan Desa Latong dan Desa Alue Buloh. Dalam perencanaan ulang ini, jenis jembatan diubah menjadi jembatan cable stayed tipe kipas angin karena dapat meminimalisir efek gerusan yang terjadi pada aliran sungai. Perencanaan jembatan diawali dengan pengumpulan data primer berupa data jembatan eksisting dan data sekunder berupa data tanah, spektrum respon, data gerusan dan data sungai, kemudian data tersebut menjadi acuan perencanaan jembatan ini. Tahap selanjutnya adalah pemodelan jembatan menggunakan software jembatan allplan. Hasil pemodelan jembatan dianalisis untuk stabilitas pilar, defleksi menara/tiang, momen pamungkas, defleksi gelagar kotak. Acuan regulasi dari rencana ini antara lain SNI 1725-2016, SNI 2833-2016, (PPPJJR) 1987 dan Surat Edaran Menteri PUPR 2015 tentang Petunjuk Teknis Pelaksanaan Jembatan Teruji Kabel. Dari hasil perencanaan menggunakan jembatan allplan 2021, total panjang jembatan adalah 350 meter dengan sistem cable stayed bridge tipe kipas angin. Bentuk trapesium girder kotak sel tunggal dengan ketinggian 2,5 meter. Ketinggian menara/tiang adalah 59 meter. Bentuk abutment yang digunakan adalah tipe T terbalik dengan tinggi 9,03 meter dan lebar 7 meter.
Kemajuan dan Pengembangan Drone pada Sektor Konstruksi di Indonesia Putri Ilmi Sakinah; Yongki Alexander Tanne; Fatwa Ibnu Isa; Muhamad Haikal Hegemur
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7186

Abstract

The use of drones is growing along with advances in technology. Initially, drones were used for military purposes, but now drones have penetrated the construction sector and offer various benefits, especially in the information retrieval process. For this reason, this research tries to qualitatively obtain an overview of the progress of drone use in Indonesia based on a comparison of literature studies and case studies on the X Hospital Development Project while at the same time looking at its development potential. Based on the project life cycle (PLC), the use of drones in Indonesia includes the project planning stage; project drafting and design; to construction planning and supervision. Compared to these developments, drones in the X Hospital Construction Project are used in the construction supervision stage only. This shows the great potential that is still hidden from the use of construction drones to improve the quality of the construction sector. Furthermore, the development direction for the use of drone technology will be maximized and provide added value if integrated with other technologies such as Cloud and Building Information Modeling (BIM). This research is expected to be an overview of the development of construction projects in adopting and utilizing technology to improve the quality of project implementation and overcome construction project problems in Indonesia, specifically the use of drone technology. Keywords—drone, construction, project life cycle, monitoring, case study

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