DOCSLIB.ORG

Optimizing Signal Settings Based on Advanced Vehicle Control System for Smart City

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Optimizing Signal Settings Based on Advanced Vehicle Control System for Smart City Optimizing Signal Settings Based on Advanced Vehicle Control System for Smart City Puji Catur Siswipraptini1, Meilia Nur Indah Susanti1 , Rosida Nur Aziza2, Abdurrasyid2 1 Senior Lecturer, Sekolah Tinggi Teknik PLN 2Lecturer, Sekolah Tinggi Teknik PLN Abstract The growth in number of vehicles in Indonesia reaches about 10 % every year, but the growth of roads is only 3,14 % in a year. This growth imbalance causes road congestions in big cities, not only in Indonesia but also in Asia, such as Jakarta. Traffic lights that only rely on fixed time settings, not based on the length of the queue, also add to the congestion. Congestion causes some losses, including waste of fuel, loss of time and the delay of arrival of emergency vehicles, such as ambulances and fire trucks, at the scene of an accident.Jakarta needs to adopt the concept of smart city to solve problems, including traffic congestion. We design a prototype of system, which is called Advaced Vehicle Control System (AVCS). This system consists of five components, i.e. : sensing optimization, vehicle control processing, application, information system, and security. AVCS can be considered as a part of the concept of smart city.AVCS comes with sensors to detect the length of the queues on each lane. The information taken from the sensors are used to calculate the traffic light setting using Fuzzy Mamdani method. The method is expected to be able to find an optimal solution for the time delay for each traffic light at each lane.This research also aims to give priority for certain vehicles, such as ambulances and fire trucks,to go through the traffic due to emergency reasons. Data used in the research was collected by observation at the intersections in Jakarta. Keywords: Signal, Fuzzy Mamdani, Advanced Vehicle Control System, Smart City settings. The traffic light system requires changes to be able to perform more optimally. Especially when I. Introduction There were 129,281,079 vehicles in Indonesia there is an emergency vehicle that will go through during 2016. Compared to the year 2001 where there the crossroads. Sometimes when the emergency were only 20,922,235 vehicles, the increase in the vehicle passes through the intersection, the vehicle is number reached 617 % in a span of 15 years [1]. stuck in a traffic jam so that it can lead to delay in Referring to the statistics provided by Indonesian providing help. Central Agency on Statistics (BPS) [1], the current Ambulances and firefighters are included road transportation infrastructure and vehicle monitoring users who have the primary right to take precedence are insufficient in sustaining the increase of vehicles as provided for in Article 134 UULLAJ jo Article 65 and it can cause problems, such as traffic congestions paragraph (1) PP 43/1993. Under existing provision, and accidents. Based on BPS report in 2016 there it is clear that exceptions may be granted by police were about 106,129 cases of highway accidents [2]. officers by allowing road users to pass through red Various ways have been taken in the attempt to lights when there are emergency vehicles. Therefore overcome the traffic problems. Other than that, it is necessary to develop a device that can provide traffic also accounts for 26% of global CO2 emergency signals to smart traffic systems that emissions and car use is the principal contributor to accommodate Article 134 paragraphs a and b. The greenhouse gas emissions. Traffic jam is one of many emergency signalacts as an agent for asking causes of increased emissions. permission to get a wayfrom the traffic. In other In Jakarta, traffic congestions are often words, emergency vehicles can change the traffic encountered at the intersections, especially the light at its lane to change colour to green. intersections of 4 (four) or more lanes. One of the causes is the lack of optimization of the traffic light’s Contact Author: Puji Catur Siswipraptini, Senior Lecturer, Sekolah Tinggi Teknik PLN, Jl. Lingkar Luar Barat Duri Kosambi Cengkareng West Jakarta. II. Related Works Tel: +62-21-5440344 Fax: +62-21-5440343 e-mail: [email protected] Table 1. Related Relevant Researches Authors Literature Result Debnath et A methodological Comparing the logic. Mamdani uses the structure of Min-Max al., framework for application of operation. In this method, fuzzy set solution is 2014 benchmarking smart transportation obtainedby implementing the maximum valuerules. SMART transport in 26 Then, the value is used for modifying the fuzzy area cities cities among the and applying it to the outputusing OR operator. If all world as the proportions have been well as providing evaluated, then the output will contain the fuzzy set that quality reflectscontribution from each proportion. measurement As the research on Vehicle Control System is a framework of part smart city, it is necessary to know the definition that smart of smart city. According to Hall (2000), Smart City transportation is referred as “the safe, secure environmentally systems [3] green, and efficient urban center of the future with Friesen Bluetooth in A basic Bluetooth advanced infrastructures such as sensors, electronics &McLed., Intelligent sensor and networks to stimulate sustainable economic 2015 Transportation system for traffic growth & a high quality of life”. Smart City, System : A monitoring consists according to Barcelona City Hall (2011), is a high- Survey of a Bluetooth tech intensive and advanced city that connects probe device (s) that people, information and city elements using new scans for other Bluetooth-enabled technologies in order to create sustainable greener device (s) within its city, competitive and innovative commerce and an radio proximity, and increase life quality with a straightforward then stores the administration and maintenance system of city. data for future Forrester (2011) stated that the use of Smart analysis and use [4] Computing technologies to make the critical PujiCatur New Smart Integrating infrastructure components and services of a city, et.al.,2016 Traffic Light an automatic system which include city administration, education, using Greedy that is implemented healthcare, public safety, real estate, transportation, Algorithm using Greedy and utilities, more intelligent, interconnected, and algorithm so it is efficient. According to Gartner (2011), the smart city expected to be is based on intelligent exchanges of information that able to find an flow between its many different subsystems. This optimal solution for flow of information is analyzed and translated into the time citizen and commercial services. The city will act on delayfor each traffic this information flow to make its wider ecosystem light. [5] more resource-efficient and sustainable. The Garg Traffic Lights the dynamic control information exchange is based on a smart governance &Hiteshi., Control System of traffic lights in an operating framework designed for cities sustainable 2017 For Indian Cities isolated intersection, [7]. Using WSN And i.e., an intersection Fuzzy Control whose incoming vehicle flows are not affected by the IV. Methodology effects of upstream traffic lights. [6] This research was conducted in the following procedures, as shown in figure 1: literature review, Some of recent relevant studies on intelligent resume analysis, synthesis, idea/design proposal, and technology have been proposed in the related conclusion. In literature review, several research literatures. Table I points out some of those relevant reports related to transportation system and vehicle researches. Review of those relevant studies reveals management were collected and reviewed. The result that there are some areas that have not been of the review was used to make resume analysis and explained, for example the comprehensive study that to formulate synthesis. After synthesizing suggestion explain the future transportation system. for Intelligent Transport System, proposed idea was produced. The final step was to generate conclusion of this research. III. Theoretical Background Mamdani method is one of the inference tech- niques in Fuzzy. The inference technique is a way of mapping an input to an aoutput space using Fuzzy the duration of the green light based on the length of the queue and the number of vehicles. Dissemination Information about the real condition on the road can be sent through the smart traffic application system smart traffic light via social media, such as Line and Literature Resume Proposed Implemen Conclusion Review Analysis Idea tation twitter. With the use of smart traffic system application then the traffic light arrangement for emergency vehicles can be controlled through the security menu in application by granting access rights on the system. Fig.1. Research Methodology A. Literature Review Table 2. Smart City Technology [8] Category Definition Sensing Monitor any external change of status and transmit collected data to process and respond to signals from Fig.2. Mindmap of 5 Components of Advanced sensors Vehicle Control System Processing Process data from sensors according to an analysis leading to a rational decision C. Proposed Idea Network Connect each device and user to support efficient communication Deploying a Smart City is a multi-disciplinary Interface Convert the information that flows task,that involves various stakeholders from different between devices or between users thematic. areas, like politics, finance, city and devices into a more intelligible management and organization, and information and form (Graphical,
Load more

Recommended publications
  • Change Detection of Land Cover at Flood Potential Areas Using Multitemporal Image Data in East Jakarta City
    Published by : International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN: 2278-0181 Vol. 9 Issue 07, July-2020 Change Detection of Land Cover at Flood Potential Areas using Multitemporal Image Data in East Jakarta City Abdul Wahid Hasyim Dimas Danur Cahya Ismu Rini Dwi Ari Department of Regional and Urban Department of Regional and Urban Department of Regional and Urban Planning, Universitas Brawijaya, Jl. Planning, Universitas Brawjaya, Jl. Planning, Universitas Brawijaya, Jl. MT. Haryono 167, Malang City, MT. Haryono 167, Malang City, MT. Haryono 167, Malang City, East Java, Indonesia, 65145 East Java, Indonesia, 65145 East Java, Indonesia, 65145 Abstract— East Jakarta City is one of 6 cities / regencies in well as the volume of water displaced due to the inability of the. The city of East Jakarta as one of the cities in the Special the absorption of water into the ground [3]. Capital Province of Jakarta has a significant growing population. Changing of land cover might result on flood The East Jakarta is the 1st city with the highest disaster disaster in related with the growth of population. Main purpose risk index value and the 2nd city with the highest flood of the study is to determine variable that influence the flood disaster risk index value in DKI Jakarta Province [4]. Jakarta height of an area with imagery data in the period of four has experienced many severe river flood events due to heavy decades – 1990, 2000, 2020, and 2020. The first step uses land rains, especially in 1996, 2002, 2007, 2013 and 2014 [5].
    [Show full text]
  • No. Nama Sekolah 1 Skb Jakarta Timur Paket C 2 Sma
    NO. NAMA SEKOLAH 1 SKB JAKARTA TIMUR PAKET C 2 SMA WIDYA MANGGALA 3 SMA ADI LUHUR 4 SMA AL QUDWAH 5 SMA AL- GHURABAA 6 SMA AL-FALAH 7 SMA AL-HIKMAH 8 SMA ANGKASA 2 9 SMA ANGKASA I 10 SMA ARENA SISWA II 11 SMA BINA DHARMA 12 SMA BINA PANGUDI LUHUR 13 SMA BPS & K 14 SMA BUDAYA 15 SMA BUDHAYA II ST. AGUSTINUS 16 SMA BUDHI WARMAN 1 17 SMA BUDHI WARMAN II 18 SMA BUDI MULIA UTAMA 19 SMA CAHAYA SAKTI 20 SMA CHARTAR BUANA 21 SMA CORPATARIN 22 SMA DEWI SARTIKA YBW 23 SMA DIAN PERSADA 24 SMA DIPONEGORO 1 25 SMA DIPONEGORO 2 26 SMA DON BOSCO 2 27 SMA FONS VITAE 1 28 SMA FRANSISKUS 2 29 SMA GLOBAL ISLAMIC SCHOOL 30 SMA I CAWANG BARU 31 SMA ISLAM AL-MA'RUF 32 SMA ISLAM PB. SOEDIRMAN 33 SMA IT AL-HALIMIYAH 34 SMA JAKARTA ISLAMIC SCHOOL 35 SMA JAKARTA RAYA 36 SMA K7 BPK PENABUR 37 SMA KAPIN 38 SMA KATOLIK NUSA MELATI 39 SMA KRISTEN BERKAT 40 SMA LABSCHOOL JAKARTA 41 SMA MALAHAYATI 42 SMA MUHAMMADIYAH 11 43 SMA MUHAMMADIYAH 12 44 SMA MUHAMMADIYAH 23 45 SMA MUHAMMADIYAH 4 46 SMA NAHDHATUL WATHAN 47 SMA NEGERI 100 48 SMA NEGERI 102 49 SMA NEGERI 103 50 SMA NEGERI 104 51 SMA NEGERI 105 52 SMA NEGERI 106 53 SMA NEGERI 107 54 SMA NEGERI 11 55 SMA NEGERI 113 56 SMA NEGERI 12 57 SMA NEGERI 14 58 SMA NEGERI 21 59 SMA NEGERI 22 60 SMA NEGERI 31 61 SMA NEGERI 36 62 SMA NEGERI 39 63 SMA NEGERI 42 64 SMA NEGERI 44 65 SMA NEGERI 48 66 SMA NEGERI 50 67 SMA NEGERI 51 68 SMA NEGERI 53 69 SMA NEGERI 54 70 SMA NEGERI 58 71 SMA NEGERI 59 72 SMA NEGERI 61 73 SMA NEGERI 62 74 SMA NEGERI 64 75 SMA NEGERI 67 76 SMA NEGERI 71 77 SMA NEGERI 76 78 SMA NEGERI 81 79 SMA NEGERI 88 80 SMA NEGERI 89 81 SMA NEGERI 9 82 SMA NEGERI 91 83 SMA NEGERI 93 84 SMA NEGERI 98 85 SMA NEGERI 99 86 SMA NEGERI UNGGULAN M.
    [Show full text]
  • Kode Dan Data Wilayah Administrasi Pemerintahan Provinsi Dki Jakarta
    KODE DAN DATA WILAYAH ADMINISTRASI PEMERINTAHAN PROVINSI DKI JAKARTA JUMLAH N A M A / J U M L A H LUAS JUMLAH NAMA PROVINSI / K O D E WILAYAH PENDUDUK K E T E R A N G A N (Jiwa) **) KABUPATEN / KOTA KAB KOTA KECAMATAN KELURAHAN D E S A (Km2) 31 DKI JAKARTA 31.01 1 KAB. ADM. KEP. SERIBU 2 6 - 10,18 21.018 31.01.01 1 Kepulauan Seribu 3 - Utara 31.01.01.1001 1 Pulau Panggang 31.01.01.1002 2 Pulau Kelapa 31.01.01.1003 3 Pulau Harapan 31.01.02 2 Kepulauan Seribu 3 - Selatan. 31.01.02.1001 1 Pulau Tidung 31.01.02.1002 2 Pulau Pari 31.01.02.1003 3 Pulau Untung Jawa 31.71 2 KODYA JAKARTA PUSAT 8 44 - 52,38 792.407 31.71.01 1 Gambir 6 - 31.71.01.1001 1 Gambir 31.71.01.1002 2 Cideng 31.71.01.1003 3 Petojo Utara 31.71.01.1004 4 Petojo Selatan 31.71.01.1005 5 Kebon Pala 31.71.01.1006 6 Duri Pulo 31.71.02 2 Sawah Besar 5 - 31.71.02.1001 1 Pasar Baru 31.71.02.1002 2 Karang Anyar 31.71.02.1003 3 Kartini 31.71.02.1004 4 Gunung Sahari Utara 31.71.02.1005 5 Mangga Dua Selatan 31.71.03 3 Kemayoran 8 - 31.71.03.1001 1 Kemayoran 31.71.03.1002 2 Kebon Kosong 31.71.03.1003 3 Harapan Mulia 31.71.03.1004 4 Serdang 1 N A M A / J U M L A H LUAS JUMLAH NAMA PROVINSI / JUMLAH WILAYAH PENDUDUK K E T E R A N G A N K O D E KABUPATEN / KOTA KAB KOTA KECAMATAN KELURAHAN D E S A (Km2) (Jiwa) **) 31.71.03.1005 5 Gunung Sahari Selatan 31.71.03.1006 6 Cempaka Baru 31.71.03.1007 7 Sumur Batu 31.71.03.1008 8 Utan Panjang 31.71.04 4 Senen 6 - 31.71.04.1001 1 Senen 31.71.04.1002 2 Kenari 31.71.04.1003 3 Paseban 31.71.04.1004 4 Kramat 31.71.04.1005 5 Kwitang 31.71.04.1006 6 Bungur
    [Show full text]
  • Data Dasar Puskesmas Provinsi Kepulauan Dki Jakarta
    DATA DASAR PUSKESMAS PROVINSI KEPULAUAN DKI JAKARTA KONDISI DESEMBER 2014 KEMENTERIAN KESEHATAN REPUBLIK INDONESIA JAKARTA, 2015 JUMLAH PUSKESMAS MENURUT KABUPATEN/KOTA (KEADAAN 31 DESEMBER 2014) PROVINSI DKI JAKARTA KODE KAB/KOTA RAWAT INAP NON RAWAT INAP JUMLAH 3101 KAB. ADM. KEPULAUAN SERIBU 1 7 8 3171 KOTA ADM. JAKARTA SELATAN 8 70 78 3172 KOTA ADM. JAKARTA TIMUR 5 83 88 3173 KOTA ADM. JAKARTA PUSAT 3 39 42 3174 KOTA ADM. JAKARTA BARAT 8 67 75 3175 KOTA ADM. JAKARTA UTARA 5 44 49 JUMLAH 30 310 340 P Koordinat O JENIS PUSKESMAS WILAYAH KERJA KODE NO PROVINSI KABUPATEN/KOTA NAMA PUSKESMAS ALAMAT PUSKESMAS N PUSKESMAS E Rawat Non Rawat Luas Jumlah Lintang (LS/LU) Bujur (BT) Desa D Inap Inap Wilayah Penduduk 2.484 DKI Jakarta Kab. Kep. Seribu P3101010201 KEC. KEP. SERIBU SELATAN Dermaga Pulau Tidung, Kec. Kep. Seribu Selatan - - V 0 1 - - - 2.485 DKI Jakarta Kab. Kep. Seribu P3101010202 KEL. PULAU TIDUNG Dermaga Pulau Tidung, Kec. Kep. Seribu Selatan - - - 0 1 107,00 1 4.270 2.486 DKI Jakarta Kab. Kep. Seribu P3101010203 KEL. P. UNTUNG JAWA Bogenville, Kec. Kep. Seribu Selatan - - - 0 1 - - - 2.487 DKI Jakarta Kab. Kep. Seribu P3101010204 KEL. PULAU PARI Pulau Lancang, Kec. Kep. Seribu Selatan - - - 0 1 - - - 2.488 DKI Jakarta Kab. Kep. Seribu P3101020102 KEL. PULAU KELAPA Kel. Pulau Kelapa, Kec. Kep. Seribu Utara - - - 1 0 - - - 2.489 DKI Jakarta Kab. Kep. Seribu P3101020201 KEC. KEP. SERIBU UTARA Dermaga Pulau Kelapa, Kec. Kep. Seribu Utara - - - 0 1 - - - 2.490 DKI Jakarta Kab. Kep. Seribu P3101020203 KEL. PULAU PANGGANG Kel.
    [Show full text]
  • Jakarta Metropolitan Region Policy Analysis
    URBAN DEVELOPMENT AND SPATIAL PLANNING OF GREATER JAKARTA Wilmar Salim Forum Komunikasi Pembangunan – 18 March 2013 Objectives To provide a comprehensive overview of past and present spatial planning and urban development in the Jakarta Metropolitan Region (JMR) To provide summary of spatial planning and urban development activities in the JMR To follow the continuing decentralization of population out of DKI into the surrounding suburbs To give examples of how urban planning is not followed by its implementation Methods JMR planning: overview of 1965-1990 and 1990- 2012 plans discussion of spatial structure Population density analysis by subdistrict, year 2000 and 2010, with maps and gradient Employment density analysis, only year 2000 available at subdistrict level Urban development 2000-2010, with maps Jabotabek’s Dynamic Development – Henderson, Kuncoro, and Nasution (1996) Rapidly changing allocation of residences and business, following expected development patterns, 1980s to 1990s High population density: lower density in the core, densification of periphery and urban sprawl in the fringe Urban development hindered by poor land market institutions (weakly defined property rights, lack of active land use planning, low infrastructure investment) Manufacturing industrialization on Botabek with low land price and wages Multi-centered development: loss of monocentricity in Jakarta, increased concentration outside Jakarta Hurting small scale industry Spatial mismatch: low income workers’ residences separated from workplaces
    [Show full text]
  • No Nama Alamat1 Alamat2 Propinsi L / a Status Nama Pemegang Rekening Jumlah Saham % 1 WIENA HANIDA JL. TARUMANEGARA B.1 RT
    DAFTAR PEMEGANG SAHAM PT Hotel Fitra Internasional Tbk Per 29 Mei 2020 Nama L / Jumlah No Nama Alamat1 Alamat2 Propinsi Status Pemegang % A Saham Rekening JL. PT. KGI TARUMANEGARA CIREUNDEU, INDIVIDUAL - 1 WIENA HANIDA Banten L Sekuritas 37,102,400 6.18 B.1 RT. 005 RW. CIPUTAT TIMUR DOMESTIC Indonesia 004 RT009/007 PT LOTUS JL.PURI KENCANA Kel.KEMBANGAN INDIVIDUAL - 2 HENDRA SUTANTO Jakarta L ANDALAN 35,000,000 5.83 BLK. M5 NO.3 SELATAN DOMESTIC SEKURITAS Kec.KEMBANGAN RT 017/015 Kel. PT JASA Jl. Kelapa Pegangsaan Dua INDIVIDUAL - UTAMA 3 Jon Fieris Jakarta L 15,000,000 2.50 Hibrida III RB-6/8 Kec. Kelapa DOMESTIC CAPITAL Gading SEKURITAS KOMP. BEA CUKAI PT. KGI SUKAPURA, INDIVIDUAL - 4 SUSAEDI MUNIF BLK R 5/2 RT. Jakarta L Sekuritas 13,364,900 2.23 CILINCING DOMESTIC 014 RW. 007 Indonesia KEL.MERUYA PT VALBURY JL.JOMAS NO.21 INDIVIDUAL - 5 SUSANTY LUKMAN UTARA Jakarta L SEKURITAS 8,918,800 1.49 A RT.007 RW.005 DOMESTIC KEC.KEMBANGAN INDONESIA JL.JERUK BALI V/34, PT KIWOOM INDIVIDUAL - 6 BUDIYANTO RT005/006, DURI JAKARTA Jakarta L SEKURITAS 8,549,700 1.42 DOMESTIC KEPA, KEBON INDONESIA JERUK RT/RW. 015/005 PERUM BUNGA PT PANCA Kel. INDIVIDUAL - 7 NENI TRIBUANI LESTARI BLOK Jawa Barat L GLOBAL 8,425,300 1.40 KEDUNGARUM DOMESTIC B18 SEKURITAS Kec. KUNINGAN JL. KALI PT FAC INDIVIDUAL - 8 HENDRA TARIPAR CIPINANG, Jakarta L SEKURITAS 7,961,500 1.33 DOMESTIC RT.002/004 INDONESIA BNI JL PARANG 002/011 ANCOL INDIVIDUAL - 9 CAROLINA KUSUMA Jakarta L SEKURITAS, 7,829,200 1.30 TRITIS I/18 PADEMANGAN DOMESTIC PT TOMANG BANJIR INDIVIDUAL - PT MNC 10 MUHAMAD SUKRON Jakarta L 6,747,300 1.12 KANAL RT9 RW14 DOMESTIC SEKURITAS PARAMITRA Kel.
    [Show full text]
  • Ÿþp E R G U B 2 6 1 T H 2 0 1
    SALINAN GUBERNUR PROVINSI DAERAH KHUSUS IBUKOTA JAKARTA PERATURAN GUBERNUR PROVINSI DAERAH KHUSUS IBUKOTA JAKARTA NOMOR 261 TAHUN 2015 TENTANG PENETAPAN NAMA JALAN PADA MASING-MASING KELAS JALAN SEBAGAI DASAR PENGHITUNGAN PAJAK REKLAME DENGAN RAHMAT TUHAN YANG MAHA ESA GUBERNUR PROVINSI DAERAH KHUSUS IBUKOTA JAKARTA, Menimbang : a. bahwa berdasarkanKeputusan Gubernur Nomor1303/ 2008 telah ditetapkankelas jalan sebagai dasar perhitungan Pajak Reklame; b. bahwa dengan diundangkannya Peraturan Daerah Nomor 12 Tahun 2011 tentang Pajak Reklame, Keputusan Gubernur sebagaimana dimaksud dalam huruf a sudah tidak sesuai lagi dengan perkembangan sehingga perlu disempurnakan; c. bahwa berdasarkan pertimbangan sebagaimana dimaksud dalam huruf a dan huruf b serta dalam rangka pelaksanaan lebih lanjut ketetuan Pasal 7 ayat (8) Peraturan Daerah Nomor 12 Tahun 2011 tentang Pajak Reklame, perlu menetapkan Peraturan Gubernur tentangPenetapan Nama Jalan pada Masing-masing Kelas Jalan sebagai Dasar Penghitungan Pajak Reklame; Mengingat : 1. Undang-Undang Nomor 29 Tahun 2007 tentang Pemerintahan Provinsi Daerah Khusus Ibukota Jakarta sebagai Ibukota Negara Kesatuan Republik Indonesia; 2. Undang-Undang Nomor 28 Tahun 2009 tentang Pajak Daerah dan Retribusi Daerah; 3. Undang-Undang Nomor 12 Tahun 2011 tentang Pembentukan Peraturan Perundang-Undangan; 4. Undang-Undang Nomor 23 Tahun 2014 tentang Pemerintahan Daerah sebagaimana telah beberapa kali diubah terakhir dengan Undang-Undang Nomor 9 Tahun 2015; 5. Peraturan Daerah Nomor 6 Tahun 2010 tentang Ketentuan Umum Pajak Daerah; 2 6. Peraturan Daerah Nomor 12 Tahun 2011 tentang Pajak Reklame; 7. Peraturan Daerah Nomor 9 Tahun 2014 tentang Penyelenggaraan Reklame; 8. Peraturan Daerah Nomor 12 Tahun 2014 tentang Organisasi Perangkat Daerah; 9. Keputusan Gubernur Nomor 37 Tahun 2000 tentang Petunjuk Pelaksanaan Penyelenggaraan Reklame; 10.
    [Show full text]
  • Floods in North Sumatera, West Java, Bengkulu and DKI Jakarta Provinces
    Information bulletin Indonesia: Floods in North Sumatera, West Java, Bengkulu and DKI Jakarta provinces Glide n° FL-2019-000182-IDN Date of issue: 2 January 2020 Date of disaster: 28 December 2019 – now Point of contact: Arifin M. Hadi, PMI Head of Disaster Management Heather Fehr, IFRC Disaster Risk Management Delegate Operation start date: 28 December 2019 Category of disaster: Yellow Host National Society: Indonesian Red Cross (Palang Merah Indonesia) Number of people affected: approximately Number of people to be assisted: TBC (assessment is 10,000,000 affected, 31,232 IDP and 16 deaths ongoing) This bulletin is issued for information only and reflects the current situation and details available at this time. The Indonesian Red Cross – Palang Merah Indonesia (PMI), with the support of the International Federation of Red Cross and Red Crescent Societies (IFRC), are continuing to monitor and respond to the situation with local and national resources. If required, additional financial resources will be sought via the relevant IFRC international disaster response mechanism. The situation Torrential rainfall from Tuesday, 31 December 2019, until Wednesday, 1 January 2020 morning triggered floods in Jakarta (all five municipalities: North, West, East, Central and South), West Java (districts of West Bandung, Karawang, Bogor, Bekasi and Bekasi City) and Banten Province (district of Lebak, South Tangerang, and Tangerang City). The Indonesian National Board for Disaster Management, locally known as Badan Nasional Penanggulangan Bencana (BNPB), reported that the flooding spots has reached 268, while in Jakarta alone 158 flooding spots are identified. The most affected area in Jakarta is East Jakarta with 65 flood spots.
    [Show full text]
  • Forms of Communication Practice in Social Conflict Mitigation Using Qualitative Content Analysis
    Forms of Communication Practice in Social Conflict Mitigation Using Qualitative Content Analysis M. Isnaini1 {[email protected]} Faculty of Communication, Universitas Budi Luhur, Jl. Ciledug Raya, Jakarta, Indonesia1 Abstract. This study aimed to identify forms of communication practice in social conflict mitigation. The research used qualitative approach with qualitative content analysis method. The study used secondary data in the form of news text about social conflict sourced from online media. Data analysis using NVivo 11Plus software. The results showed: forms of communication practice are socialization, collective action, gathering information, and dialogue.That forms of communication practice can be used as an instrument of mitigating social conflict . Keywords: Conflict, social, mitigation, communication. 1 Introduction Jakarta should appear as a friendly and livable city. This is because Jakarta as a barometer for other cities in Indonesia, to realize hospitality as well as a livable city is not an easy matter. Since Jakarta officially became the province and capital of the country in 1961, various problems have emerged. Unplanned and overlapping urban spatial planning, high levels of urbanization, and poor environmental carrying capacity, make Jakarta as a prone city. The National Unity and Politics Institution Badan Kesatuan Bangsa dan Politik DKI Jakarta/BKBPJakarta (2015) mentions several objective conditions faced by Jakarta people which has the potential to become threats, challenges, obstacles, and disturbances, such as: 1) Jakarta as the capital of the state is a center of political and power interests in government [1]. This situation makes Jakarta vulnerable to all impacts arising from political life in Indonesia; 2) Jakarta people is a pluralistic society consisting of various ethnic, racial, religious, and class.
    [Show full text]
  • FLOODS FL-2007-000023-IDN 5 February 2007 the Federation’S Mission Is to Improve the Lives of Vulnerable People by Mobilizing the Power of Humanity
    Information Bulletin no. 01/2007 Glide no: INDONESIA: FLOODS FL-2007-000023-IDN 5 February 2007 The Federation’s mission is to improve the lives of vulnerable people by mobilizing the power of humanity. It is the world’s largest humanitarian organization and its millions of volunteers are active in over 185 countries. In Brief This Bulletin is being issued for information only, and reflects the situation and the information available at this time. The Federation is not seeking funding or other assistance from donors for this operation at this time. For further information specifically related to this operation please contact: • Indonesian Red Cross (PMI): Mr. Arifin M. Hadi (acting head of disaster management division); mobile: +62.811.943.952; telephone: +62.21.799.2325 ext. 222; email: [email protected] • Federation country delegation in Indonesia: Bob McKerrow (head of delegation); email: [email protected]; mobile: +62.81.182.4859, phone: +62.21.7919.1841 (ext. 107); fax: +62.21.7918.0905 • Federation secretariat in Geneva (Asia Pacific department): Josse Gillijns (regional officer); email: [email protected] ; phone: +44.22.730.4224, fax: +41.22 733.0395 or Priya Nair; email: [email protected] ; phone: + 44-22.730.4296. The Situation Heavy rains since the 1 February 2007 have caused massive flooding in the Indonesian capital of Jakarta. According to the Indonesian Red Cross (PMI), floods have killed at least seven people and made nearly 270,000 people homeless. It is estimated that nearly 60% of the city is now inundated with water following days of torrential rains which have caused rivers to burst, pouring muddy waters up to 4 m deep into homes and buildings.
    [Show full text]
  • Edit Master Title Style
    Click to edit Master title style 1 Click to edit Master title style Halte Transit BRT Koridor 4, 5 dan 6 PPID PT Transportasi Jakarta 2 Click to edit Master titleKoridor style 4 Pulogadung Dukuh Atas 2 Halte Dukuh Atas : B11 Summarecon Bekasi To s a r i S21 Ciputat To s a r i 4a Tu gas G r o g o l 2 6 Ragunan Dukuh Atas 2 Halte Manggarai : 4b St.Manggarai Univ. Indonesia 6f St. Manggarai R a g u n a n 6m St. Manggarai B l o k M Halte Matraman 2 : 4 a T u g a s G r o g o l 2 B22 Bekasi Timur J u a n d a 5 Kp.Melayu Ancol (dapat transit di Matraman 1) 5A Kp. Melayu G r o g o l 1 5 c P G C G r o g o l 1 5D PGC 1 A n c o l Halte Pramuka : B12 Summarecon Bekasi Tanjung Priok 5e Kp. Melayu A n c o l 10 PGC 2 Tanjung Priok 3 3 Koridor 4 Click to editPulogadung Master title styleDukuh Atas 2 Halte Tu gas : 4a Tu gas – G r o g o l 2 Halte Polugadung : 2 Pulogadung – H a r m o n i 2a Pulogadung – K a l i d e r e s 11a Pulogadung – P u l o g e b a n g 4 4 Click to edit KoridorMaster title 5 style Kampung Melayu - Ancol Halte Ancol : 5c PGC 1 Ancol 5d Kp. Rambutan Ancol Halte Jembatan Merah : 12 Penjaringan Tanjung Priok Halte Pasar Baru Timur : 2c PRJ Monas Halte Senen Sentral : 2 Pulogadung Harmoni 2c Pulogadung Kalideres 6h Pasar Senen Lebak Bulus Halte Pal Putih : B22 Bekasi Timur - Juanda Halte Salemba UI : 5e Kp.
    [Show full text]
  • Jakarta Timur, Duren Sawit SDN PONDOK KELAPA 02 PT
    Nama Sekolah Alamat Sekolah SDN BALE KAMBANG 01 PG. Jl. Munggang Gg. Rawa Elok, Kramat Jati SDN BALE KAMBANG 03 PG. Jl. Gardu Rt. 001/ 02, Kramat Jati SDN BALIMESTER 01 PG. Jl. Matraman Raya No. 226, Jatinegara SDN BALIMESTER 02 PT. Jl. Matraman Raya No. 226, Jatinegara SDN BALIMESTER 03 PT. Jl. Matraman Raya No. 177, Jatinegara SDN BALIMESTER 06 PG. Jl. Jatinegara Barat IV/ 12, Jatinegara SDN BALIMESTER 07 PT. Jl. Jatinegara Barat IV/ 12, Jatinegara SDN BAMBU APUS 01 PG. Jl. Bambu Apus Raya, Cipayung SDN BAMBU APUS 02 PG. Jl. Bambu Apus Raya, Cipayung SDN BAMBU APUS 03 PG. Jl. Bambu Hijau, Cipayung SDN BAMBU APUS 04 PG. Jl. Laksamana VIII Padepokan TMII, Cipayung SDN BAMBU APUS 05 PG. Jl. Laksamana VIII PAD TMII, Cipayung SDN BARU 01 PG. Jl. R.A. Fadillah, Pasar Rebo SDN BARU 02 PG. Jl. R.A. Fadillah Cijantung III, Pasar Rebo SDN BARU 03 PG. Jl. Gotong Royong, Pasar Rebo SDN BARU 05 PG. Jl. Puskesmas No. 34, Pasar Rebo SDN BARU 06 PG. Jl. Puskesmas, Pasar Rebo SDN BARU 07 PG. Jl. RA. Fadillah Cijantung III, Pasar Rebo SDN BARU 08 PG. Jl. Sawo, Pasar Rebo SDN BATU AMPAR 01 PG. Jl. Raya Bogor, Kramat Jati SDN BATU AMPAR 02 PG. Jl. Batu Ampar III No.2, Kramat Jati SDN BATU AMPAR 03 PG. Jl. Batu Ampar III, Kramat Jati SDN BATU AMPAR 05 PG. Jl. SMPN 126, Kramat Jati SDN BATU AMPAR 06 PG. Jl. Batu Jamrut, Kramat Jati SDN BATU AMPAR 07 PG. Jl. SMPN 126, Kramat Jati SDN BATU AMPAR 08 PG.
    [Show full text]