Latif Budi Suparma
Gadjah Mada University
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Jurnal Transportasi | 2018
Fransiska Idalin; Siti Malkhamah; Latif Budi Suparma
Abstract Accident data is very important to figure out the number of accidents that occur on the road segment in some periods of time. If accident data is not available, another method is needed to determine the frequency of accidents, with the frequency of accidents replaced by a prediction of accident probability. Based on the literatures, it is found that the predictions of accident probabilities can be done based on the geometric conditions of the road and traffic characteristics. The probability values are obtained from the calculation of the percentage of the total score on the location of the road. The score is given based on the magnitude of the existing condition deficiency against the specified standard or criteria, with a score of 1 for conditions that are in accordance with the standard, while a score of 5 for the conditions that are not in accordance with the standards. Predictor parameters for 2 lane 2 ways undivided rural road are lane width (m), lane widening on curve, shoulder width, shoulder type, stopping sight distance, passing sight distance, radius of curve, maximum superelevation, tangent length between 2 curves, the present of transition curve, curve radius ratio of 2 adjacent curves, maximum length of tangent, grade (%), maximum length of grade, side slope, clear zones, hazards type, lighting, signings and markings, driveways density (number/km), proportion of heavy vehicles (%), volume of pedestrians (person/day), special alignment combinations and the differences between operating speed (V 85 ) and speed limit (V limit ). From this method would be generated 5 accident probabilities categories which are “very small”, “small”, “medium”, “big” and “very big”. Keywords : traffic accident, accidents frequency, accident probability, road geometric Abstrak Data kecelakaan sangat penting untuk mengetahui jumlah kecelakaan yang terjadi pada segmen jalan untuk jangka waktu tertentu. Jika data kecelakaan tidak tersedia, diperlukan metode lain untuk mengetahui frekuensi kecelakaan, dengan frekuensi kecelakaan digantikan dengan perkiraan probabilitas kecelakaan. Berdasarkan literatur diperoleh bahwa prediksi probabilitas kecelakaan dapat dilakukan berdasarkan kondisi geometrik jalan dan karakteristik lalu lintas. Nilai probabilitas diperoleh dari hasil perhitungan persentase total skor pada lokasi ruas jalan. Pemberian skor dilakukan berdasarkan besarnya defisiensi kondisi eksisting terhadap standar atau kriteria yang ditentukan, dengan skor 1 untuk kondisi yang sesuai standar, sedangkan skor 5 untuk kondisi yang paling tidak sesuai standar. Parameter predictor adalah lebar lajur, pelebaran lajur pada tikungan, lebar bahu, tipe bahu, jarak pandang henti, jarak pandang mendahului, jari-jari tikungan, super-elevasi maksimum, panjang tangent di antara 2 tikungan, keberadaan lengkung peralihan, rasio jari-jari 2 tikungan berdekatan, panjang tangent maksimum, kelandaian (%), panjang landai, side slope , clear zone (m), jenis hazard, penerangan jalan, rambu dan marka jalan, driveways density (jumlah/km), proporsi kendaraan berat (%), volume pejalan kaki (orang/hari), kombinasi alinyemen khusus, serta selisih kecepatan operasional (V 85 )dari V limit. Dihasilkan 5 katagori probabilitas, yaitu “sangat kecil”, “kecil”, “sedang”, “besar”, dan “sangat besar”. Kata-kata kunci : kecelakaan lalu lintas, frekuensi kecelakaan, probabilitas kecelakaan, geometrik jalan
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON CONSTRUCTION AND BUILDING ENGINEERING (ICONBUILD) 2017: Smart Construction Towards Global Challenges | 2017
Arief Setiawan; Latif Budi Suparma; Agus Taufik Mulyono
Elastic modulus is a fundamental property of an asphalt mixture. An analytical method of the elastic modulus is needed to determine the thickness of flexible pavement. It has a role as one of the input values on a stress-strain analysis in the finite element method. The aim of this study was to develop the measurement of the elastic modulus by using compressive strength testing. This research used a set of specimen mold tool and Delta Dimensi software to record strain changes occurring in the proving ring of compression machine and the specimens. The elastic modulus of the five types of aggregate gradation and 2 types of asphalt were measured at optimum asphalt content. Asphalt Cement 60/70 and Elastomer Modified Asphalt (EMA) were used as a binder. Manufacturing success indicators of the specimens used void-in-the-mix (VIM) 3-5 % criteria. The success rate of the specimen manufacturing was more than 76%. Thus, the procedure and the compressive strength test equipment could be used for the measurement of the elastic modulus. The aggregate gradation and asphalt types significantly affected the elastic modulus of the asphalt concrete.Elastic modulus is a fundamental property of an asphalt mixture. An analytical method of the elastic modulus is needed to determine the thickness of flexible pavement. It has a role as one of the input values on a stress-strain analysis in the finite element method. The aim of this study was to develop the measurement of the elastic modulus by using compressive strength testing. This research used a set of specimen mold tool and Delta Dimensi software to record strain changes occurring in the proving ring of compression machine and the specimens. The elastic modulus of the five types of aggregate gradation and 2 types of asphalt were measured at optimum asphalt content. Asphalt Cement 60/70 and Elastomer Modified Asphalt (EMA) were used as a binder. Manufacturing success indicators of the specimens used void-in-the-mix (VIM) 3-5 % criteria. The success rate of the specimen manufacturing was more than 76%. Thus, the procedure and the compressive strength test equipment could be used for the measurement of ...
Jurnal Transportasi | 2012
Agus Taufik Mulyono; Wimpy Santosa; Latif Budi Suparma
One of the root problems causing early damages on provincial and district roads is road administrators’ and developers’ low compliance against the road standards. To deal with this issue, a systemic logic model has been developed to facilitate the monitoring and the evaluation analyses of road standards implementation. The model was written in Java Runtime Environment version 6 and designed to feature portability, acceptability, applicability, and useability. The model was developed based on expert survey and typology analysis to gather and select the determining variables and their indicators.Model application in the case of SNI 03-2853-1992 (guidelines on constructing road foundation using crushed stones) implementation is demonstrated in this paper. The results showed 58.50% of the sample “own” the standard, 61.18% “understand” the standard, 60.52% “implement” the standard, 51.39% “oversee” the implementation of the standard, and therefore the overall implementation score for the said standard was 59.08%. The model developed in this study has the potentials to provide recommendations to road administrators on whether or not a standard needs revision or even abolition. Keywords: evaluation, monitoring, quality standard, provincial and local roads
Warta Penelitian Perhubungan | 2018
Don Gaspar; Siti Malkhamah; Latif Budi Suparma
International Journal of Technology | 2018
Don Gaspar Noesaku da Costa; Siti Malkhamah; Latif Budi Suparma
INERSIA | 2018
I Gusti Ngurah Widyantara; Latif Budi Suparma; Imam Muthohar
Clinical and Experimental Dermatology | 2018
Siti Malkhamah; Latif Budi Suparma; Don Gaspar Noesaku da Costa
MEDIA KOMUNIKASI TEKNIK SIPIL | 2017
Anissa Noor Tajudin; Latif Budi Suparma
Jurnal Transportasi | 2017
Arief Setiawan; Latif Budi Suparma; Agus Taufik Mulyono
Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan | 2017
Anissa Noor Tajudin; Latif Budi Suparma