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"This research examines empirically the relationship among the social capital variable set, entrepreneurial orientation variable set, organizational resource variable set, and the impact of these three variable sets towards entrepreneurial performances. data is collected by web survey questionnaire sent to the entrpreneurs who own IT new ventures starting from 2000 onward. The sampling method used in this study is purposive sampling. The results obtained in this research indicate that there are significant relationships among social capital variable set, entrepreneurial orientation variable set, , and organizational resource variable from the entrepreneurial orientation variable set and human capital variable set, innovation variable from the entrepreneurial orientation variable from the social capital variable from the organizational resources variable set have significant impact towards the profit index and the growth index from the entrepreneurial performance variable set with a 5% level of significance. "

"This researh examines empricially the relationship among the social capital variable set, entrepreneurial orientaion variable set, organizational resource variable set, and the impact of these three variable sets towards entrepreneurial performances. Data is collected by web survey questionnaire sent to the entreprenuers who own IT new ventures starting from 2000 onward. The sampling method used in this study is purposive sampling. The results obtained in this research indicate that there are significant relationships among social capital varible set, entrepreneurial orientation variable set, and organizational resource variable set. The relationship quality variable from the social capital variable set, innovation variable from the entrepreneurial orientation variable set, and human capital variable from the organizational resources variable set have significant impact towards the profit index and the growth index from the entrepreneurial performance variable set with a 5% level of significance. "

"This research is build a social capital models and their influences on the organizational performance. This research examines empirically and analyzes the influences of social capital in forms of network quality and trust, innovations of organizational performance. he populations in this research were the medium furniture businesses in Central Java. This research took sample as many as 127 respondents. The respondents were the managers/medium wooden furniture business owners with the manpower ranging from 20 to 100 people. Data collection technique used questionnaires, and focus group discussion with the managers/business owners. The used technique of analysis was the Structural Equation Modeling (SEM) with Amos Ver.5.0 softwere. The examination on the influence of the moderation of environmental adaptability properties used the Multi-Grouped Sequential Equation Modeling. The theoretical finding in this research is that, it is able to explain (1) uncertainity of the roles of social capital , network and trust in improving organizational performance (3) Uncertainity of the role of innovation in mediating the social capital orientation on the organizational performance (4) Uncertainty of the role of environment moderating the causal relationships among social capital, innovation and organizational performance, and (6) it is able to add the literature concerning social capital orientation, especially the matters concerning wooden furniture medium business, which are still relatively limited."

"Angkutan kota memiliki peranan penting untuk dapat megontrol arus pergerakan dan perpindahan masyarakat sehingga, dibutuhkan adanya efektifitas yang optimal di dalam pengoperasionalan angkutan kota tersebut. Namun pada kenyataannya, angkutan kota yang beroperasi tidak mematuhi peraturan yang ada, seperti contohnya berhenti dan menunggu penumpang pada sembarang titik, memiliki banyak terminal bayangan, dll. Hal tersebut pada kenyataannya selalu terjadi pada setiap ruas jalan yang dilewati trayek angkutan kota, salah satunya adalah ruas jalan Kelapa Dua. Pada ruas jalan tersebut angkutan kota yang melintas dan diamati adalah trayek D11, 112, dan 129. Adapun indikator kinerja angkutan kota yang diamati adalah jumlah penumpang, jumlah armada angkutan kota, load factor(faktor muatan), headway (waktu antara), dan waktu tempuh angkutan kota. Indikator kinerja angkutan kota tersebut didapatkan dari pelaksanaan survey lapangan dengan menggunakan metode statis di titik ? titik dua ruas jalan yang diteliti. Setelah melalui pengolahan dan analisa data, didapatkan bahwa pada arah Palsigunung, hanya terdapat 2 rentang waktu yang sesuai dengan SK Dirjen 687 tahun 2002 untuk load factor dan 5 rentang waktu untuk headway. Pada arah UI, tidak terdapat load factor yang sesuai parameter dan hanya terdapat 3 rentang waktu yang sesuai parameter untuk headway yang diteliti.

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City transport has an important role to control the flow and movement of people. Thus, the optimal effectiveness is required in city transport?s operation. But in reality, many city transports operate without obey the regulation, such as stopping and waiting for passengers at any point and having a lot of illegal terminals, etc. In fact, It happens in all the routes of city transport, one of the routes is Kelapa Dua Road. On this road, the city transports? routes that have been observed for this research are the routes of D11, 112 and 129. There are some indicators of urban transportation?s performance, such as the number of passengers, the number of urban transportations, load factor, headway and the travel time of city transports. The city transport performance indicators have been obtained from the implementation of the field survey using a static method in two points of road. After went through the processing and data analysis, it is found that the direction of Palsigunung only has two time spans for load factor and 5 time spans for headway based on SK Dirjen 687 tahun 2002. At direction of UI, there are no load factor that meet the parameters and only three time spans of headway that meet the parameters."

"Kejadian banjir/genangan air yang sering melanda Ibukota Jakarta berpotensi menimbulkan kerusakan infrastruktur termasuk jaringan jalan, terutama di Jakarta Utara yang secara morfologis berada pada ketinggian kurang dari 7 meter dari permukaan laut. Pola distribusi keruangan sensitivitas kerusakan jaringan jalan di Jakarta Utara dikaji berdasarkan variabel jenis banjir, ketinggian banjir, durasi banjir, frekuensi banjir, arus lalu lintas dan bobot kendaraan. Penelitian ini menggunakan metode AHP dan teknik overlay peta yang kemudian dilakukan verifikasi data berdasarkan fakta di lapangan yang tersebar pada 51 lokasi di Jakarta Utara. Dari kesemua data yang diperoleh akan dilakukan penilaian dan pembobotan yang kemudian dioverlay untuk mengetahui tingkat sensitivitas kerusakan jaringan jalan. Berdasarkan hasil analisis dan pengolahan data memperlihatkan bahwa secara umum terdapat kesamaan pola keruangan antara tingkat sensitivitas kerusakan jaringan jalan menggunakan 6 variabel dan 5 variabel. Pada tingkat sensitivitas kerusakan jaringan jalan yang lebih tinggi cenderung lebih sering mengalami kerusakan jaringan jalan dibandingkan dengan yang lebih rendah.

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A flood/inundation was often occurs in the capital city Jakarta and has the potential to cause damage to infrastructure including roads networks, especially in North Jakarta which are morphologically located at an altitude of less than 7 meters above sea level. Spatial distribution pattern of the sensitivity of damage roads in North Jakarta studied based on variable kinds of floods, flood elevation, flood duration, frequency of floods, traffic flow and vehicle weight. This study uses AHP and map overlay techniques and then will be verification based on facts on the ground are scattered in 51 locations in North Jakarta. From all the data obtained will be carried out assessment and weighting are then overlaid to determine the level of sensitivity of the roads damage. Based on the analysis and data processing in general shows that there are similarities between the spatial patterns of roads damage sensitivity level using 6 variables and 5 variables. At the level of sensitivity of the roads damage is higher tend to be more often damaged road network compared with lower."

"Infrastruktur adalah salah satu sarana penunjang pembangunan. Sistem transportasi merupakan bagian penting dan stategis bagi pembangunan suatu negara dan merupakan sarana penunjang kemajuan ekonomi karena akan mendukung mobilitas penduduk dan mendistribusikan barang dari satu daerah ke daerah lain. Namun, adanya ketidakmerataan akses masyarakat dan kesenjangan pengembangan wilayah dalam bidang infrastruktur transportasi di Indonesia. Maka perlunya pemetaan infrastruktur transportasi pada Ibukota Provinsi di Indonesia diharapkan dapat menentukan pola pembangunan dan pembenahan infastruktur transportasi pada pembangunan masa mendatang. Metode penelitian yang dilakukan pada penelitian ini adalah studi literatur untuk menetapkan indikator penilaian pada pemetaan infrastruktur transportasi di Indonesia dan penyebaran 30 kuesioner pada stakeholder terkait untuk melakukan pembobotan pada setiap indikator dengan AHP (Analytical Hierarchy Process) dengan perhitungan manual. Setelah mendapatkan pembobotan pada setiap indikator, dilakukan scoring atau penilaian pada setiap infrastruktur pada 33 Ibukota Provinsi di Indonesia dan didapatkan pemetaan infrastruktur transportasi pada 33 Ibukota Provinsi di Indonesiadari nilai tertinggi sampai terendah. Hasil yang didapatkan adalah pada kuadran I yaitu Kota Jakarta di posisi pertama, disusul oleh Kota Medan, Bandung, Surabaya, Semarang, Padang, Palembang dan Makassar. Pada kuadran II, Kota Yogyakarta berada pada posisi kesembilan diikuti oleh Kota Ambon, Pontianak, Denpasar, Banjarmasin, Mataram, Banda Aceh dan Samarinda. Pada kuadran III, Kota Jambi pada posisi ke-17 diikuti oleh Manado, Kendari, Bengkulu, Pangkal Pinang, Kupang, Pekanbaru dan Bandar Lampung. Pada kuadran IV, Kota Gorontalo berada pada posisi ke-25 diikuti oleh Jayapura, Tanjung Pinang, Palu, Manokwari, Serang, Mamuju, Ternate, Palangka Raya. Dibuktikan dari pemetaan infrastruktur transportasi ini sebagian besar kota-kota pada bagian barat Indonesia memperoleh penilaian yang lebih baik dari kota-kota di bagian timur Indonesia. Maka perlu adanya pembenahan infrastruktur transportasi pada kota-kota dengan nilai rendah yaitu sebagian besar berada pada kota-kota di bagian timur Indonesia.

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Infrastructure is one of the definitions of supporting development. The transportation system is an important and strategic part of the development of economic progress of a country because it will support the mobility of people and to distribute goods from one place to another. However, There are the existence of inequality in access and gap in the sector of transportation infrastructure in Indonesia. Hence, the need for mapping of transportation infrastructure in the Capital of Provinces in Indonesia is expected to determine the pattern of development and improvement of future transportation infrastructure?s development.

Reasearch methodology for this research are study of literature to establish the indicators of mapping transport infrastructure in Indonesia and spread of 30 quetioners on the related stakeholders to get weight for each indicator with manual counting of AHP (Analytical Hierarchy Process). After weighting of each indicator, the next step is scoring the transport infrastructure components at 33 Capital of Provinces in Indonesia to get the results of mapping transportation infrastructure from the highest to lowest score.

The results on this reaseach are in quadrant I, the city of Jakarta in the first position, followed by the city of Medan, Bandung, Surabaya, Semarang, Padang, Palembang dan Makassar. In quadrant II, the city of Yogyakarta is at ninth position followed by the city of Ambon, Pontianak, Denpasar, Banjarmasin, Mataram, Banda Aceh dan Samarinda. In quadrant III, City of Jambi in the 17th position followed by Manado, Kendari, Bengkulu, Pangkal Pinang, Kupang, Pekanbaru dan Bandar Lampung. In quadrant IV, Kota Gorontalo are at the 25th position followed by Jayapura, Tanjung Pinang, Palu, Manokwari, Serang, Mamuju, Ternate, Palangka Raya.

Evidenced from the result of mapping of transport infrastructure is mostly cities in the western part of Indonesia get better scores than the cities in the eastern part of Indonesia. Hence the improvement of transport infrastructure is needed for the cities with low scores that are mostly located in the eastern part of Indonesia."

"artikel ini membahas tentang perlunya penyediaan prasarana lingkungan yang memberikan keselamatan bagi anak yang pergi ke sekolah dengan berjalan kaki atau bersepeda. Prasarana lingkungan ini dibutuhkan untuk melengkapi skema zona selamat sekolah (ZOSS) dan rute aman selamat sekolah (RASS) yang diusung oleh kementerian perhubungan ."

"Pada rencana awal pembangunan Jalan Tol Trans Sumatera, rute yang dipilih belum mengacu pada PDRB dan jumlah penduduk yang merupakan faktor penting dalam pengembangan suatu wilayah. Selain itu untuk mencapai pertumbuhan ekonomi yang baik sebagai hasil dari perencanaan rute JTTS, diperlukan pengembangan potensi yang dimiliki wilayah secara optimal. Salah satu pendekatan yang dapat dilakukan adalah dengan memetakan sektor unggulan wilayah yang akan dilalui rute jalan tol tersebut menggunakan metode location quotient. Pada penelitian ini dilakukan penambahan integrasi jalur fiber optik, pengembangan kawasan pariwisata dan rest area sehingga total initial cost dari rute ini adalah Rp102.732.733.062.404. Untuk sektor unggulan yang terdapat pada rute ini adalah berupa pertambangan dan galian, industri pengolahan serta pertanian.

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At the beginning of the Trans Sumatra Toll Road’s construction plans, the route chosen is not referring to the GDP and population that is an important factor in the development of a region. In addition to achieving good economic growth as a result of JTTS route planning, required the development potential of the region optimally. One approach that can be done is to map the leading sectors in the areas to be traversed highway route is using location quotient. In this study, is added the integration of the optical fiber lines, the development of a tourism area and rest area so that the total initial cost of this route is Rp102.732.733.062.404. For the leading sectors contained on this route are mining and quarrying, manufacturing industry and agriculture."