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BRIDGE FOUNDATION DESIGN INTEGRATING GROUND IMPROVEMENT TECHNIQUES IN CHALLENGING SOIL Frank Lurich; Andri Irfan Rifai; Ade Jaya Saputra
Jurnal Teknik Sipil Vol. 18 No. 1 (2024)
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jts.v18i1.10313

Abstract

This study investigates the optimal design of bridge foundations incorporating ground improvement techniques in challenging soil conditions, employing a case study methodology. Bridge foundations primarily serve to transfer forces applied by the bridge to the underlying soil, and ground improvement techniques enhance soil properties, particularly in complex environments. Challenging soil conditions pose substantial difficulties in designing and constructing bridge foundations, requiring engineers to employ specific methodologies to ensure stability and long-term resilience. These solutions are crucial in areas with weak or unstable soil incapable of supporting large structures like bridges. This study aims to conduct a thorough comparative analysis to evaluate the suitability of Controlled Modulus Columns (CMC) for a roadway project in north-central Java, where soil conditions present significant challenges. By collecting and analyzing secondary data from various sources, including literature, case studies, and empirical research, the study assesses ground improvement techniques' effectiveness, efficiency, and performance in similar soil and geotechnical conditions. The objective is to determine whether CMCs are the most beneficial approach for enhancing the stability and performance of the highway or if alternative methods, which require rapid installation and high load-bearing capacity while minimizing soil disruption, might be more appropriate. The study highlights that Deep Soil Mixing (DSM) offers advantages comparable to CMCs and has proven effective in different soil conditions. This research aims to provide valuable insights into selecting optimal ground improvement techniques for bridge foundations in challenging soil conditions, ensuring stability and performance while addressing project-specific requirements.
MODEL DESAIN PERKERASAN DAN PEMBIAYAAN RUNWAY BANDAR UDARA REMOTE AREA DENGAN METODA CBR DAN FAA Zia Ahmad Riyanto, Fakri; Irfan Rifai, Andri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 4 (2019): Inovasi Desa Menuju Era 4.0 : Merangsang Inovasi Desa Melalui Pemanfaatan Internet of
Publisher : Universitas Majalengka

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Abstract

The increasing on air transportation passengers and the development of the remote area are factors that accelerate the needed develop of runway pavements. The research aims to find out how to design flexible pavement for runway with two methods, that is CBR (California Bearing Ratio) method and FAA (Federal Administration Aviation) method. Thick of pavement evaluated with PCN-ACN (pavement classification number) method. The designs included a range of subgrade conditions, as well as commercial aircraft and analyzed optimal budget. Case study in the research is Andi Jemma Airport, South Sulawesi. Based on analysis result from the two methods obtained the thick of pavement with CBR method is 21 inch with PCN 27,9 F/C/X/T, thick of pavement with FAA graphic method is 17,5 inch with PCN F/C/X/T and from software FAARFIELD the thick of pavement is 16 inch with PCN 16,9 F/C/X/T. The cost required for thick of pavement analyzed by CBR method is IDR 6.415.252.926, with FAA graphic method is IDR 5.897.401.963 and with the FAA software FAARFIELD is IDR 5.675.465.836. These results indicate that the models obtained for FAA (software) can be used to design the pavement, where as it optimal budget.
ANALISA PEMILIHAN TRANSPORTASI UMUM MENUJU BANDARA SOEKARNO HATTA DENGAN METODE STATED PREFERENCE Hardiyanti, Siti; Irfan Rifai, Andri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 4 (2019): Inovasi Desa Menuju Era 4.0 : Merangsang Inovasi Desa Melalui Pemanfaatan Internet of
Publisher : Universitas Majalengka

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Abstract

Transportation is used to facilitate people to do daily activities, and options of transportation mode have an important role in relation to the types of modes and available infrastructures. This study aims to determine what factors influence options of public transportation modes and find out what transportation modes chosen by people who live near Bekasi to Soekarno Hatta Airport by choosing train or bus. The data used in this study are primary data obtained from survey results in the form of questionnaires with the stated preference method by providing several different scenarios. With the influence of variable cost X1, X2 travel time and X3 headway. Furthermore, the secondary data obtained is calculated using the linear regression method and the differences between the utility of the airport train and the bus are used to calculate the probability of the options. The results of the linear regression obtained by the difference in mode selection utilities that is . The conclusion is that the differences in cost, travel time and headway affects the options of transportation modes. Factors that influence the option of public transportation modes are travel time, where the certainty of arrival time to the airport is very important. And the most preferred transportation mode from Bekasi City to Soekarno Hatta Airport is Bus. Where the probability of using bus is greater than airport train.
IMPLENTASI DATA MINING UNTUK PEMETAAN DAN PREDIKSI LIQUEFACTION AKIBAT GEMPA PALU Irfan Rifai, Andri; Prasetyo, Eko
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 4 (2019): Inovasi Desa Menuju Era 4.0 : Merangsang Inovasi Desa Melalui Pemanfaatan Internet of
Publisher : Universitas Majalengka

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Abstract

The 2018 Palu-Sigi-Donggala earthquakes in Center Celebes have caused significant damage to many residential houses due to varying degrees of soil liquefaction over a very wide extent of urban areas unseen in past destructive earthquakes. While soil liquefaction occurred in Palu and Sigi, thus providing researchers with wide range of characterize soil and site response to large-scale earthquake shaking. One of important learn issues is prediction of liquefaction. Prediction of liquefaction is also a complex problem as it depends on many different physical factors, and the relations between these factors are highly non-linear and complex. Most of these approaches are based on classical statistical approaches and neural networks. In this paper a new approach which is based on classification data mining (DM) is proposed. The proposed approach is based on historical data from the field and sciences portal. The proposed algorithm is also compared with several other DM algorithms based on rminer. It is shown that the proposed algorithm is very effective and accurate in prediction of liquefaction.
Road Geometric Redesign used AutoCAD 2D A Case Jalan Majalengka-Rajagaluh Anugraha, Pebri Tri; Irfan Rifai, Andri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 8 (2024): STIMA 8.0 : Menuju Kesinambungan : Inovasi dan Adaptasi Teknologi untuk Pembangunan Be
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v8i0.1147

Abstract

Majalengka-Rajagaluh road is a road located in several sub-districts which is a link to the city and also one of the connecting roads to Cirebon City. This design planning starts in Cigasong sub-district and continues to Rajagaluh sub-district with the length of Majalengka-Rajagaluh road is 5.3 kilometers. The geometric design results are visualized in the form of drawings using AutoCAD 2D. The design speed (Vd) was set at 60 km/h with a horizontal curve radius of 358 m, a maximum slope of 4%, and an elevation (e max) of 8%. Based on these design criteria, a spiral curve with a circular curve length (Lc) of 74.996 m was obtained. Furthermore, the results of the vertical alignment calculation of the length (L) of one type of convex curve in PPV were also calculated.
Co-Authors Abdila, Syafiadi Rizki Abdul Hamid Abiansyah, Lutfi Achmad Oktobrianto Ade Jaya Saputra Adi Nurmahdi, Adi Adinda Fajarika Akhir Adinda Fajarika Akhir Adiputra, Dimas Sukma Aditya Hakim Agniya Agus Setiawan Agustian, Renaldi Ahmad Mawardi Lubis Akhir , Adinda Fajarika Akhir, Adinda Fajarika Aluna Ricardo, Vincent Amanatullah Savitri Amanatullah Savitri Amanatullah Savitri Amanatullah Savitri Savitri Amanatullah Savitri, Amanatullah Amanda, Azzhara Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amar Mufhidin Amrun Rosyid Andika, Ilham Angga Dewa Annisa Megarestya Antonio Gomes Correia, Antonio Gomes Antony Hermawan Anugraha, Pebri Tri Arief Rijaluddin Arifin, Adlin Ariyapijati, Raden Hendra Asadulhaq, Saifan Pabelano Azzhara Amanda Bagus Dewantoro, Rahman Betty Rosyana Manurung Bhakti, Surya Kencana Budiono, Jason Christine Christine Chrystin Indah Novitasari Daniel Arnoldi Gultom Daniel Arnoldi Gultom Darius Angtony Darius Angtony Dea Fitri Pratama, Siti Tasyah Dermawan, Widodo Budi Dimas Pratama Djamal, Endry Z. Dwiani, Nurmala Dwiatmoko, Hermanto Efendi Efendi Eka Satria Aulia Eko Prasetyo Eldad Yaazannya Eukhristio Tetelepta Eliska Theodora Elizabeth Elizabeth Olivia Joice Fachrul Arifin, Fachrul Fajriliani, Yuditami Iressa Fauziawati, Rizky Fazadi Rafianda, Dimar Ferial, Ferial Fernanda, Finsa Aziz fikri firmansyah Firdaus, Hendy Yusman Frank Lurich Gabriel Immanuel Gabriel Immanuel Ginting, jody Martin Gunawan, Ratih Yuliani Handayani, Susanty Hartati, Noviar Dwi Hasdian, Elhazri Haycal, Digho Dovano Hikmawati Thalib Ido Prasetio Ilham Andika Ilham Rafid Andito Immanuel, Gabriel Indrastuti Indrastuti Indrastuti Indrastuti Indri Pangesti Irianto, Muhamad Alamsyah Irianto, Muhammad Alamsyah Jason Angelo Ong Jeffrey Victory Jeffrey Victory Jenny Jenny Jenny Jenny Jenny, Jenny Jody Andrian Muatan Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Joewono Prasetijo Jose Andreas Khairul Hafis Kharisma, Galuh Kurniawan, Andreas Novi Lista Lista Litwina Ratri Rosaria Lubis, Ahmad Mawardi Luther Panangian Joseph Luthfi Rachmansyah M Alfi Wahyudi M Farid Alfarizi R Maharani, Natasya Aurum Marselina, Ice Martin Ginting, Jody Martindo Gita Dwi Putra Maulana Aransya Melvin Melvin Mohamad Taufik Mohamad Taufik Mohamad Taufik Mohamad Taufik Mohamad Taufik, Mohamad Mufhidin, Amar Muhamad Fauzi Apriansyah Muhammad Fajri Assalam Muhammad Farhan Muhammad Hafidh Muhammad Hasan Muhammad Isradi Muhammad Naufal Farhan Muhammad Ridho Alfarizi Muhammad Rifqiawan Farid Muhammad Rizqi Muhammad Sylmi Taufanudin MUHAMMAD TAUFIK Mulia Pamadi Mulia Pamadi Mulia Pamadi Nasrun Nasrun Natasya Aurum Maharani Natasya Aurum Maharani Nida Ulchurriyyah Noviantini Nurjannah, Siti Novianty, Nadira Nuri Sumantri, Vena Pamadi, Mulia Paulo Cortez, Paulo Paulo Pereira, Paulo Pelangie, Kissi Rosari Pramono, Rizki Prasetijo, Joewono Pratama, Andreas Pratama, Sandhi Rio Purnama, Ega R., M. Nanda Fajar Arij Rachman, M. Nanda Fajar Arij Rafaelin, Fabiola Frederica Rahayu, Azi Juliar Rahmadhani, Ajeng Widyaningrum Rahmat Hermawan Rahmat Hermawan Rara Salsa Nadillah Ratu aghnia raffaidy wiguna Resinta, Tria Ricardo, Vincent Aluna Ridho Alfarizi, Muhammad Rini Nurhasanah Rizak Agri Agustino Rizal S., Muhammad Rizki Rizki Robbi Bayuaji Nugroho Rohani, Munzilah Md Roisman A. Harefa Roprofil, M. Ridlo Ryan Maro Ryan Maro S, Muhammad Rizal Safira Salsabila Sahara, Dwiki Ali Said Suganda Salma Karimah Sandhi Rio Pratama Saputra, Ade Jaya Saputra, Tohmas Saraswati, Megananda Sari, Yusra Aulia Satrio, Rio Savitri, Amanatullah Savitri Septyani, Yusan Nurul Shahar Banu Sigit P. Hadiwardoyo Siti Hardiyanti Siti Tasyah Dea Fitri Pratama Sony Sony, Sony Sopiyan, Yopi Stefanus, Stefanus Steven Shui Sugeng Santoso Sugih, Ageng Sumantri, Vena Nuri Susanty Handayani Syafiq Human Maulana Syafwandi, Syafwandi Syarif, Danisy Ardanil Thole, Joko Umar, Usmanul Hayadi Usmanul Hayadi Umar Valiant, Rizqi Vendhy Vendhy Vincent Aluna Ricardo Viranti Fahra Salsabila Wahyudi, M. Alfi Widodo Budi Dermawan Wincent Wincent Wincent Wincent Yehezkiel Immanuel Yola Rachmadina Yong, Vincent Yosepine Abigail Taruli Sinambela Yudhistira, Pradana Yudi Herdiana Yudi Herdiana Yusra Aulia Sari Yusra Aulia Sari Zainal, Zaffan Farhana Zhang, Guohui Zia Ahmad Riyanto, Fakri Zolkepli, Muhammad Farhan Zulfa, Nabila