ANALYSIS SERVICE LEVEL AHMAD YANI ROAD SEGMENT KM. 7 DISTRICT OF BANJAR

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CERUCUK Volume 1 No. 3 2017 (155-163) ANALYSIS SERVICE LEVEL AHMAD YANI ROAD SEGMENT KM. 7 DISTRICT OF BANJAR Dyah Ayu Vertikasari and Rosehan Anwar Civil Engineering Department, Lambung Mangkurat University Email: ayu.vertikasari90@gmail.com ABSTRAK Kabupaten Banjar merupakan salah satu daerah dengan tingkat pertumbuhan pembangunan yang padat. Hal ini mengakibatkan semakin bertambahnya jumlah kendaraan dapat menimbulkan pergerakan arus lalu lintas yang cukup besar. Maka dari itu, perlu dilakukan penelitian mengenai tingkat pelayanan di ruas jalan Ahmad Yani Km. 7 agar dapat ditentukan perlunya penanganan atau tidak. Metode yang digunakan yaitu analisa tiga model Greenshields, Greenberg, Underwood, dan metode Manual Kapasitas Jalan Indonesia (MKJI) 1997 memberikan pedoman untuk mendapatkan tingkat pelayanan jalan dari suatu ruas jalan. Persamaan model untuk arus arah kota Banjarbaru-Banjarmasin yaitu model Greenberg, y = -18,25 ln(x) + 113,63, nilai R sebesar 0,914 dengan volume maksimum sebesar 3396,383 smp/jam, sedangkan untuk arus arah kota Banjarmasin-Banjarbaru dengan model Greenberg yaitu y = -19,31 ln(x) + 119,66, nilai R sebesar 0,854, dan didapatkan saat volume maksimum sebesar 3489,146 smp/jam. Dengan metode MKJI 1997 didapatkan kapasitas sebesar 4280,76 smp/jam untuk kedua arus lalu lintas. Berdasarkan prediksi yang dilakukan, didapatkan hasil bahwa pada tahun pertama, tingkat pelayanan di jalan Ahmad Yani Km. 7 Banjarmasin sudah memasuki kategori F dan perlu dilakukan penanganan. Solusi yang dapat diberikan yaitu dengan memaksimalkan penggunaan transportasi publik dan berupa pengalihan jalan dengan menggunakan jalur alternatif. Kata Kunci: Greenshields, Greenberg, Underwood, MKJI, Prediksi. ABSTRACT Banjar Regency is one of the areas with a solid growth growth rate. This resulted in the increasing number of vehicles can lead to movement of large traffic flows. Therefore, research needs to be done on the level of service on the road Ahmad Yani Km. 7 in order to determine the need for handling or not. The method used is the analysis of three models Greenshields, Greenberg, Underwood, and method Manual Capacity Road Indonesia (MKJI) 1997 provides guidance to get the level of service road from a road. The model equation for Banjarbaru-Banjarmasin flow direction is Greenberg model, y = -18.25 ln (x) + 113,63, R value 0,914 with maximum volume 3396,383 smp

156 CERUCUK, Volume 1 No. 3 2017 / hour, while for Banjarmasin- Banjarbaru with Greenberg model is y = -19.31 ln (x) + 119,66, R value 0,854, and obtained when maximum volume equal to 3489,146 smp / hour. With MKJI 1997 method, the capacity of 4280,76 pcu / hour for both traffic flow. Based on the predictions made, the results obtained that in the first year, the level of service on the road Ahmad Yani Km. 7 Banjarmasin has entered the F category and needs to be handled. The solution that can be given is by maximizing the use of public transportation and in the form of transfer of the road by using alternative path. Keywords: Greenshields, Greenberg, Underwood, MKJI, Prediction. 1. INTRODUCTION A common problem that often occurs in big cities is the imbalance between traffic and road transport. As technology progresses, the growing number of population growth, and ever-expanding land use change, the need for adequate transportation facilities and infrastructure will be a serious concern for all. Banjar Regency is one of the areas with a solid growth growth rate. This increase in traffic flow will affect behavioral changes on a road segment, where drivers, vehicles, roads, and environments are interconnected with each other. The relationship between drivers, vehicles, roads, and neighborhoods will vary according to the type of road and its area, so the traffic flow also varies. Congestion, irregularity of traffic flows, and long queues during peak hours are some of the most frequent traffic problems in Banjar district. The increase in the number of vehicles can lead to movement of large traffic flows, this will be a big problem and should be sought the solution to be anticipated in advance. One of the locations that need to be considered and a place of research is the road on the road Ahmad Yani. This location was chosen because this road is the main road in Banjar district with heavy traffic flow and has an important role in the movement of economy and transportation. Like the case that occurred on the road Ahmad Yani Km. 7, traffic flows are slowing down on the roads where there is the Ahad Kartak Hanyar and Amaris hotels. In this research will be conducted research on the level of service on the road Ahmad Yani Km. 7 on the road segment in front of and after the market of Ahad Kertak Hanyar and Amaris hotels. This research was conducted with the aim of:

Analysis Service Dyah Ayu 157 a. Knowing the level of road service Ahmad Yani Km. 7 by using three model methods (Greenshields, Greenberg, and Underwood) and the Indonesian Road Capacity Manual (MKJI) method 1997. b. Know the comparison of service level values from three model methods (Greenshields, Greenberg, and Underwood) and the Indonesian Road Capacity Manual (MKJI) method 1997. c. Knowing the level of road service Ahmad Yani Km. 7 for the next 2 years. d. Obtain solution to improve service level on Ahmad Yani Road Km Km. 7. 2. METHODOLOGY The collection of traffic flow data is intended to determine the level of traffic density on the road segment based on traffic volume, the type of vehicle in a certain time unit conducted with direct observation and recording in the field. The data collection technique consists of two stages, namely primary data and secondary data. 1. Primary Data: Primary data is taking road and environmental profile data on Ahmad Yani Road Km. 7 districts of Banjar. The data taken in the form of traffic volume by Greenshields method, Greenberg, and Underwood taken for 12 hours (06.00-18.00). While for MKJI 1997 method taken at rush hour: morning (07.00-09.00), noon (12:00 to 14:00), and afternoon (16:00 to 18:00) plus a side obstacle survey for each busy hour. Each data record is divided into 10 (ten) minute time intervals for traffic volume and speed data. a. Road Profile Data Collection Intended to identify the characteristics of road infrastructure such as the length of road, width, condition, and also of the road equipment facility, taking into consideration that the component can affect the capacity of the road. b. Traffic Volume Collection of vehicle volume data in question to measure the number of vehicles moving when crossing a route or road. c. Travel Time

158 CERUCUK, Volume 1 No. 3 2017 The travel speed data collection is intended to measure the travel time and the average moving time a vehicle takes across a route or road. d. Side Barriers The side obstacle data collection is intended to find out how much influence of roadside activities that impact on road performance. 2. Secondary Data Secondary data can be data of the population of Banjarmasin city obtained from the Central Bureau of Statistics (BPS) Banjar district. 3. RESULTS AND DISCUSSION The result of analysis of traffic volume data for one day conducted 12 hours (06.00-18.00) on segment Jl. A. Yani Km. 7 on Banjarbaru-Banjarmasin and Banjarmasin- Banjarbaru city flows using three mathematical models (Greenshields linear model, Greenberg logarithmic model, and Underwood exponential model). Data Analysis for Side Barrier Calculations is obtained from the survey on Tuesday, April 19, 2016. The degree of saturation is defined as the ratio of current to capacity, used as the main factor in determining the level of road performance that has been studied. Service Level Index: 1) Service Level Index Of Greenshields, Greenberg, and Underwood Models To determine the ITP then use table with parameter of speed (S) and degree of saturation (DS) or volume ratio (V) with capacity (C). 2) Service Indices Of The Indonesian Road Capacity Manual (MKJI) Method 1997 Existing service level index of each segment under review is obtained from the volume division (V) that occurs to the maximum capacity (C). Prediction is done to know the service level index (ITP) in the next few years on the research road, to know and overcome the problems caused by the increasing number of vehicles that always increase every year. Index of Service Level Solutions (ITP) Predictions. From the above prediction calculations it is found that in both currents already need handling in the second year, so it needs to be handled. The solution that can be done is as follows: 1) Alternative 1 (Public Transport) In alternative 1 it is expected that road users can divert the use of private transportation to move using public transportation. It is expected to reduce the volume by 70% for motorcycle users and 30% for light user vehicles.

Analysis Service Dyah Ayu 159 2) Alternative 2 (Alternative Path) This alternative is expected to reduce the number of road users passing through research roads by 40% for motorcycles, 60% for light vehicles, and 80% for heavy vehicles. From the survey conducted for 12 hours obtained volume and velocity data with vulnerable time per 10 minutes, then dikumulatifkan for volume and speed to per one (1) hour. The study was conducted for 12 hours for 3 model analyzers (Greenshieldss, Greenberg and Underwood) and from the 12 hours it was taken 3 hrs busy for the 1997 Indonesian Road Capacity Manual (MKJI) method which is the morning rush hour (07.00-09.00), busy during the day (12:00 to 14:00 hours), and the afternoon rush hour (16:00 to 18:00 hours). The survey was conducted for 1 day, Tuesday, April 19, 2016. The distance of the segment reviewed was 200 meters for the MKJI method of 1997 and 50 meters for the 3 model method. For analysis with MKJI method 1997 added with side data barrier taking with segment length 200 meter. Suggestions for U-turns are closed when the survey can not be done considering the road conditions are quite solid, it will disrupt road users. Based on the results of data analysis obtained for the flow from the city of Banjarbaru to the city of Banjarmasin selected Greenberg model because it has the strongest correlation value between the three models with the equation y = -18.25 ln (x) + 113.63 and r value of 0.914 (level of strong correlation relationship) obtained when the maximum volume of 3396.383 smp / hour with a speed of 18.25 km / h and also the density of 185 smp / km. As for the flow from the city of Banjarmasin to the city of Banjarbaru also selected Greenberg model because it has the strongest correlation value between the three models with the equation y = -19.31 ln (x) + 119.66 and r value of 0.854 (level of correlation strong relationship), obtained when the maximum volume of 3489.146 smp / hour with a speed of 19.31 km / h and its density of 180 smp / km. Maximum ITP was obtained based on MoC regulation No.14 of 2006 with service level E that is unstable current, obstructed with intolerable delay, and average travel speed about 25 km / h with volume (V) at capacity (C). With the Indonesian Road Capacity Manual (MKJI) 1997 method, the maximum number of obstacles to Banjarbaru-Banjarmasin city flows was found at 7.10-8.10 with the number of 573.4. While the maximum number of side barriers for the Banjarmasin-

160 CERUCUK, Volume 1 No. 3 2017 Banjarbaru current is obtained at 08.00-09.00 which amounted to 286.6. The maximum value of capacity at Banjarmasin-Banjarbaru is 2759,724 pcu / hour, for Banjarbaru-Banjarmasin flow of 2732.4 pcu / hour. From the calculation of road capacity then calculate the degree of road saturation. The maximum flow saturation degree from Banjarbaru-Banjarmasin city is 0.78 and the current from Banjarmasin-Banjarbaru city is 0.76. Obtained ITP road for Banjarbaru- Banjarmasin city flows and Banjarmasin-Banjarbaru city flows have ITP maximum C, ie stable currents, and average travel speed 30 km / h with volume value (V) and capacity (C) ratio of 0,8. Based on calculations obtained in the second year after predicted, the level of service road Ahmad Yani Km. 7 enters the category of service level F with stuck or stuck current characteristics, mean travel speed 15 km / h and the degree of saturation is above 1.0. Then the condition of traffic flow on the road in bad condition and need immediate treatment. From alternative one (1) that is by using public transportation means, got significant improvement to degree of saturation in research road segment. The maximum saturation degree prior to handling is 1.42 to 0.71 after handling. Based on the calculation, obtained index maximum service level with service that is from service level F become service level C. From the alternative two (2) that is with the existence of alternative path, obtained a significant increase also to degree of saturation in research road segment. The maximum saturation degree prior to treatment is 1.42 to 0.72 after handling. Based on the calculation, obtained index maximum service level with service that is from service level F become service level C. 4. CONCLUSION 1. From Greenshields model, Greenberg, and Underwood, on the flow from Banjarbaru city to Banjarmasin city obtained ITP E based on the degree of saturation and ITP C based on speed While on the flow from the city of Banjarmasin to the city of Banjarbaru obtained ITP E based on the degree of saturation and ITP C based on speed. 2. From the method of Manual of Capacity of Road of Indonesia (MKJI) 1997, in flow from city of Banjarbaru to city of Banjarmasin obtained ITP C based on

Analysis Service Dyah Ayu 161 value of degree of saturation and ITP C based on speed, while for flow from Banjarmasin city to city of Banjarbaru obtained ITP C based on value of degree of saturation and ITP C based on speed. 3. The result of comparison or difference between method 3 model (Greenshields, Greenberg, and Underwood) and Indonesia Road Capacity Manual (MKJI) 1997 is due to various factors influencing the calculation of road capacity. For the Indonesian Road Capacity Manual (MKJI) method 1997 is influenced by road geometric factors and side obstacles. While for method 3 model, influenced by mathematical relationship between variables. 4. In the second year, the level of service in both currents on the road Ahmad Yani Km. 7 districts of Banjar are at the maximum service level F. Therefore, the prediction of the service level is stopped and solutions are needed to improve the level of service on both sides of the road. 5. Alternative one is to minimize the use of private transportation by maximizing the use of public transportation. Based on the calculation, obtained the maximum service level with the service that is from service level F to C. 6. Alternative two in the form of diversion of the current or the provision of alternative routes so that it can minimize the road users who pass the road Ahmad Yani Km. 7 Banjarmasin. Based on the calculation, obtained maximum service level with service index that is from service level F become C. REFERENCES [1] Direktorat Bina Jalan Kota. (1997). Manual Kapasitas Jalan Raya Indonesia (MKJI). Direktorat Jenderal Bina Marga. Jakarta [2] Hidayat, M. Ari. 2013. Analisa Arus Lalu Lintas di Sekitar Q-Mall Banjarbaru. Skripsi Jurusan Teknik Sipil Fakultas Teknik. Universitas Lambung Mangkurat. Banjarbaru [3] Irfanie, Arie. 2014. Analisa Tingkat Pelayanan Jalan A. Yani KM 37 Kota Martapura. Skripsi Jurusan Teknik Sipil Fakultas Teknik. Universitas Lambung Mangkurat. Banjarbaru [4] Leihitu, Dony D. J. 2004. Analisa Perbandingan Perhitungan Kapasitas Metode MKJI 1997 dengan Perhitungan Kapasitas Menggunakan Metode Greenshields,

162 CERUCUK, Volume 1 No. 3 2017 Greenberg, dan Underwood. Jurnal Penelitian Dosen Fakultas Teknik Universitas Darwan Ali. Vol 1 Edisi Januari April 2012. Hal 1-11 [5] Peraturan Menteri Perhubungan. Nomor. KM 14. 2006. Manajemen Rekayasa Lalu Lintas di Jalan. Jakarta [6] Radam, Iphan F. 2008. Bahan Ajar Rekayasa Lalu Lintas. Penerbit Universitas Lambung Mangkurat Press. Banjarmasin [7] Rahmatiah. 2014. Analisis Kinerja Ruas Jalan Brigjen H. Hasan Basri Banjarmasin. Skripsi Jurusan Teknik Sipil Fakultas Teknik. Universitas Lambung Mangkurat. Banjarbaru [8] Roess, R.P. W. R. McShane dan Elena S. P. 1990. Traffic Engineering. Penerbit Prentice Hall. New Jersey [9] Saodang, Hamirhan. 2004. Konstruksi Jalan Raya. Penerbit Nova. Bandung [10] Tamin, Ofyar Z. 2000. Perencanaan dan Permodelan Transportasi. Edisi Kedua. Penerbit ITB. Bandung