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KARAKTERISTIK PENUMPANG DAN PERJALANAN PADA KA PENUMPANG EKONOMI DI WILAYAH GERBANGKERTOSUSILA Hitapriya Suprayitno; D. Irlambang D. Irlambang; Y.A. Pramono; A.G. Wibowo
Jurnal Teknobisnis Vol 2, No 1 (2006): Jurnal TEKNOBISNIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat- Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1239.012 KB) | DOI: 10.12962/j24609463.v2i1.2817

Abstract

Transportation system planning has to be regularly reviewed in order to meet the regional development. The transport user and their trip characteristics are very important parameters in transportation planning This paper presents both characteristics for Gerbangkerto susila economic class ' train. An interview survey was conducted to the passengers during the peak morning hour for all Gerbangkertosusila economic class trains for obtaining transport user and their trip characteristics. The results showed that the passengers comprised 67% male, 62% were of 21 — 40 years of age, 44% were senior high school graduates, and 33% were private sector employees. Based on the trip purpose, most of the passengers used the train for reaching their working base (41.2%). According to the embarkation base, about 8,6% of the passengers were coming from their residences. In addition, the destination of the passengers was mainly for returning home (34%). About 42.80% of the passengers were travelling 5 times a week. 
PENGEMBANGAN AWAL METODA PERHITUNGAN PADI 0.0 MODEL SEBARAN PERJALANAN BERBASIS DATA ARUS LALU LINTAS(Kasus Percobaan Sederhana 4 Zona, 4 Ruas, Sebaran Proporsional dan Pembebanan All-or-Nothing Murni) Hitapriya Suprayitno
Jurnal Teknobisnis Vol 1, No 2 (2005): Jurnal TEKNOBISNIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat- Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1089.462 KB) | DOI: 10.12962/j24609463.v1i2.2811

Abstract

Synthetic model development is always very laborious and complicated task. Therefore, a more practical modeling method based on traffic flow data is necessary. In general, this development task has practically never been tried in ITS. A first attempt has been done and provided a calculation method called Experimental Model PADI 0.0. The experiment showed that mathematically it was a Simultaneous Linear Equations (SLE) Case. This model was still very primitive and needed to be developed. Thisresearch was aimed to develop the Model PADI 0.0. A more complicated case, a proportional distribution case, had been taken for this attempt. The results indicated that the Model PADI 0.0 was valid to solve the experimental case. Furthermore, for the same transportation network model, the trip distribution pattern does not affect the SLE form. Afterward the experimental case still needed to be developed by integrating a more complicated traffic assignment model. 
UPAYA PERTAMA PENYUSUNAN METODA PERHITUNGAN MODEL SEBARAN PERJALANAN BERBASIS DATA ARUS LALU LINTAS(Kasus Percobaan Sederhana: 4 Zona, 4 Ruas, Sebaran Seragam, Pembebanan All-or-Nothing Murni) Hitapriya Suprayitno
Jurnal Teknobisnis Vol 1, No 2 (2005): Jurnal TEKNOBISNIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat- Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1074.029 KB) | DOI: 10.12962/j24609463.v1i2.2807

Abstract

Transportation demand model plays an important role in transportation planning. Synthetic model development seems to be very complicated since it's always time and money consuming. This, the more practical and simpler modenling method becomes a great necessities. The recent idea is using traffic flow data to develop an origin destination matrix. The objective of this research is to develop a distribution model based on a traffic flow data. A very simple model having 4 zones, 4 links, uniform distribution, and basic all-or-nothing assignment, had .been used as a study case. The result show that the mathematical model is a simultaneous linear equations model. Since the number of linear equations developed based on traffic flow data is less than the number of origin destination matrix cells, 4 trip production
Basic Notion of Infrastructure Asset Management What UNIID should do? Hitapriya Suprayitno; Ria Asih Aryani Soemitro
IPTEK Journal of Proceedings Series No 5 (2017): Simposium I Jaringan Perguruan Tinggi untuk Pembangunan Infrastruktur Indonesia (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.038 KB) | DOI: 10.12962/j23546026.y2017i5.3170

Abstract

Infrastructure Asset Management is important. In the developed countries the IAM has been implemented largely and deeply; and its give significant positive result. In Indonesia, the IAM is not yet popular, it is just recently started. The IAM need to be implemented more and better in Indonesia. Three main questions concerning UNIID and the IAM : what the IAM is, how the IAM Practices are and what UNIID should do. The main program to be realized is a creation of IAM Group in UNIID. The main duty of this group is participating in developing more and better IAM Practice in Indonesia.
Network Connectivity Quality Assessment Case of Major Roads of Padangsidimpuan City Fithriyah Patriotika; Hitapriya Suprayitno
Jurnal Transportasi: Sistem, Material, dan Infrastruktur Vol 1, No 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1994.086 KB) | DOI: 10.12962/j26226847.v1i1.3771

Abstract

Assessment of network connectivity in this study was done by using a special matrix operation. The quality of connectivity is measured based on network performance comparison value, between those of existing road network against those of expected road network. This network connectivity quality is derived into three aspects: number of connected nodes, total shortest path distance and total road length. The quality of the road network connectivity for the Truck Class 1 can be concluded as follows: The connectivity quality of the existing road network, in order to be equals to the expected road network needs an addition of 2 nodes: freight terminal 1 and freight terminal 2 and needs an addition of 1 ringroad and 2 access road,  while warehouse in the existing road network must be abolished.  The difference of total roads length between the existing network compared to the expected road network is 12.77 km, equal to a ratio of 0.76. Therefore, the existing road network requires an addition of 12.77 km in order to achieve the same quality as the expected road network. The total shortest path distance of the existing road network is infinite (∞) and the one of expected road network is 295.44 km.
The Connectivity Quality as Part of Network Quality For a Sparse Road Network Hitapriya Suprayitno
Jurnal Transportasi: Sistem, Material, dan Infrastruktur Vol 1, No 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1467.819 KB) | DOI: 10.12962/j26226847.v1i1.3772

Abstract

As a developing country, in terms of road network, Indonesia is dominated by sparse road network : the regency, the provincial and the national road network. Therefore, the network quality of the road network is capital to be formulated. This paper is designated to present the research result on formulating the connectivity quality as part of network quality. The network quality is formulated based on network performance to execute its function. The main functions are to connect different points of the region, to flow the traffic and to cover the area on a certain density. The connectivity quality must measure how well the nodes are connected each other. The quality must be measured against a desired condition. This principal is derived afterward into three measures, i.e. : the percentage of number of connected nodes, the percentage of the total road length and the ratio of total shortest path distance. Connectivity quality is calculated for each vehicle category. A special matrix method for transportation network analyses must be used to execute the whole calculation.
Identifikasi Awal Wilayah Pengaruh KA Komuter Dengan Menggunakan Angkutan Umum Pengumpan Anita Susanti; Ria Asih Aryani Soemitro; Hitapriya Suprayitno
Rekayasa Sipil Vol 11, No 3 (2017)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.146 KB) | DOI: 10.21776/ub.rekayasasipil/2017.011.03.2

Abstract

The public perception that the quality of public transport service is very bad cause the number of private vehicle users is very high compared with the number of users of public transport. Therefore, an initial identification of the Commuter Train influence area by feeder is required. The goal is to know how big the area of the Commuter Train influence area viewed from the use of public transport feeder on the way to and leave the station. The method used in this initial identification is the collection of primary data by conducting interview survey of SUSI Commuter Train and the SULAM Commuter Train. Survey is conducted from two different directions in the morning departure hours only. The result of initial identification is known that the city of Surabaya has the Commuter Train influence area of SUSI Commuter Train and the SULAM Commuter Train 2 different directions in the morning departure hour by using feeder to the origin station of 9000 meters (20%) and from the destination station of 6000 meter (63.64%).