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ANALISA PERILAKU SAMBUNGAN BALOK-KOLOM SESUAI PBI 1971 TERHADAP BEBAN SIKLIK DELFIAN MASRURA
TERAS JURNAL Vol 10, No 2 (2020): Volume 10 Nomor 2 September 2020
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v10i2.340

Abstract

Abstrak Kolom dan balok adalah komponen struktur utama yang berfungsi menyangga beban struktur lainnya untuk sebuah bangunan. Daerah pada sambungan (joint) balok-kolom harus didesain dengan akurat sehingga mampu menyebarkan energi yang diterima dengan baik pada saat terjadi gempa. Sebagai komponen struktur dengan peran dan fungsi tersebut, kolom dan balok menempati posisi penting dalam bangunan. Kemampuan joint balok kolom untuk berdeformasi terhadap beban siklik dapat memberikan struktur yang baik. Kegagalan joint balok-kolom berpengaruh langsung pada komponen struktur lain yang berhubungan dengannya. Tujuan dari penelitian ini adalah untuk mempelajari kemampuan struktur bangunan pada elemen joint balok kolom dalam menahan beban siklik sesuai dengan peraturan PBI 1971. Benda uji yang dibuat adalah benda uji dengan panjang penyaluran tulangan tidak berkait sesuai PBI 1971, dengan mutu beton 23,02 MPa. Balok berukuran 120 x 30 x 40 cm dan kolom berukuran 30 x 30 x 200 cm menggunakan tulangan 8Ø14 mm dengan tegangan leleh (fy) 310,03 MPa dan tulangan sengkang Ø10-100 mm dengan tegangan leleh (fy) 374,59 MPa. Pengujian dilakukan dengan memberikan beban siklik di ujung balok dengan pembebanan 2,5 ton; 5 ton; 7,5 ton dan monotonik yaitu beban hingga benda uji hancur. Hasil yang dicapai pada penelitian ini adalah sambungan balok kolom yang berdasarkan PBI 1971 mampu menahan kapasitas beban siklik sampai dengan 7,47 tf untuk beban tekan dan 5,19 tf untuk beban tarik pada displacement 24 mm. Kata Kunci:  Sambungan Balok-Kolom, PBI 1971, Beban Siklik.  Abstract Columns and beams are the main structural components that serve to support the burden of other structures for a building. The beam-column area’s must be designed accurately in order to be able to distribute the received energy properly when an earthquake occurs. Columns and beams occupy important positions in buildings as structural components with these roles and functions. The ability of column-beam joints to deform cyclic loads provides a good structure. The beam-column joint failure has a direct effect on other structural components associated with it. The purpose of this study was to study the ability of building structures on beam-column joint elements in holding cyclic loads in accordance with PBI 1971. The specimen was created with length of unbalanced reinforcement distribution in accordance with PBI 1971, with 23.02 MPa of concrete quality. Beams measuring 120 x 30 x 40 cm and columns measuring 30 x 30 x 200 cm using reinforcement 8Ø14 mm with melting stress (fy) 310.03 MPa and stirrup reinforcement Ø10-100 mm with melting stress (fy) 374.59 MPa. The test is carried out by giving cyclic load to the end of the beam with a load of 2.5 tf; 5.0 tf; 7.5 tf; and monotonic that is the load until the test object is destroyed. The results achieved in this study as the specimen is able to hold the maximum load 7.47 tf to pressure loads and 5.19 tf to strain loads in the displacement of 24 mm Keywords: Joint Beam-Column, PBI 1971, Cyclic Load.
A Feasibility Study of The Bubon Port to Improve Maritime Affairs in West Aceh District Zakia Zakia; Meylis Safriani; Delfian Masrura; Dian Febrianti; Inseun Yuri Salena
International Journal of Engineering, Science and Information Technology Vol 3, No 1 (2023)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i1.412

Abstract

Kuala Bubon Port, a maritime axis in the west-south Aceh region is one of the crossing facilities that connects shipping activities by the surrounding community. The need for passenger departures and logistics transportation is increasing every year. Therefore, to facilitate inter-island crossing activities, it is planned to develop buildings and facilities at Kuala Bubon Port. It is necessary to carry out a feasibility study for these infrastructure development activities to determine the feasibility of the development project. Besides that, the feasibility study also avoids the risk of loss. Research This feasibility study uses data analysis, including the Budget Plan analysis and the cash flow (cash flow) analysis. The method for analyzing cash flow uses 4 methods, namely Net Present Value (NPV), Benefit Cost Ratio (BCR), Internal Rate of Return (IRR), and Break Event Point (BEP). The four methods refer to the calculation of direct, indirect, and annual costs. This calculation is obtained from processing primary and secondary data and assuming an interest rate of 3.50%, and the project's economic life is set at 25 years. For NPV analysis, the investment is feasible if the results are positive. Conversely, if the NPV is negative, the investment is not feasible. Furthermore, if the BCR value ≥ 1, the IRR value ≥ the interest rate, and the BEP are obtained when the NPV = 0, then the project can be feasible. After calculating, the NPV value obtained is IDR 1,730,821,838,222, the BCR value is 162.93%, the IRR value is 5.25%, and the BEP was obtained in year 4, day 39. Based on the results of these calculations, the project can be said to be feasible to implement. The results of this study are expected to be one of the references and information for the Department of Transportation, Water Resources Public Works, and the Government to plan the right design for development projects at ports. The long-term target is that the results obtained can be used as data in other water construction projects so that they are effective from a financial perspective.
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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
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.
Penanaman Mangrove Sebagai Upaya Perluasan Ekosistem Pesisir di Peunaga Cut Ujong, Aceh Barat Eka Lisdayanti; Nurul Najmi; Rahmawati Rahmawati; Fitry Hasdanita; Delfian Masrura
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 8 No 1 (2024): Volume 8 Nomor 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v8i1.21084

Abstract

Damage to mangroves on the West Aceh coast due to the disaster tsunami and the increasing utilization of economic activities towards the beach area makes mangrove planting activities necessary. Service activities aim to support the benefits of conservation and expansion of mangrove ecosystems on the Coas of Peunaga Cut Ujong, Meurebo District, West Aceh Regency. This planting activity is a collaborative activity between industry players, academics, and the surrounding community which was initiated by PT MIFA Bersaudara as a form of concern for the environment and concrete action in contributing to coastal ecosystem conservation, especially for achieving the SDGs. The types of mangroves planted were Rhizophora apiculata and Rhizophora mucronate. This planting uses a planting method with artificial regeneration which involves planting seeds, propagules, or mangrove seedlings by moving the seedlings to a new location. Mangrove planting activities in Peunaga Cut Ujong managed to get attention and attention from the village community. Not only involved directly in mangrove planting activities but also committed to the maintenance and monitoring of the planted mangroves. In addition, the success of mangrove planting is also evident from the low mortality rate (5%) of the seedlings. The addition of more leaves, height, and mangrove roots that have begun to appear in some mangrove stands was observed seven months after planting.