Measurements in Climate Change in Jakarta
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Rekap Maping Bank Beasiswa Baru Thp 2 2012 2013
REKAP. MAPING BANK DKI PENERIMA BEASISWA BARU (TAHAP 2) TAHUN PELAJARAN 2012 / 2013 UNTUK : PERGURUAN TINGGI (PT) No Sekolah Alamat Sekolah Jml Cab. Pembuka Rek. Alamat Bank JAKARTA PUSAT 1 Univ. Bung Karno Jl. Kimia No.20 Pegangsaan T. 3901076 1 Cab. Matraman Jl. Matraman Raya No. 138 Jaktim 2 Akademi Farmasi Hang Tuah JktJl. Farmasi No.1 Bendungan Hilir 10210 T. 5732438 2 Cab. Bendungan Hilir Jl. Bendungan Hilir Raya No. 1A Jakpus 3 STIE Muhammadiyah Jkt Jl. Kramat Raya No.49 T. 3905357 1 Cap. Senen Komp. Ruko Segitiga Atrium Senen Blok E/18 Jakpus 4 Univ. Persada Ind. YAI Jl. Salemba Raya No. 7/9 A T. 3914075 1 KK. Gunadarma Salemba Jl. Salemba Raya No. 53 Jakpus 5 Politekes Jakarta III Jl. Kimia No. 17 T. 3140683 5 KK. Kec. Menteng Jl. Pegangsaan Barat No. 14 Menteng Jakpus 6 STMIK Jayakarta Jl. Salemba Raya No.24 T. 3906060 3 KK. Gunadarma Salemba Jl. Salemba Raya No. 53 Jakpus 7 STAINU Gd. PBNU Lt. 5 Jl. Kramat Raya No.164 T. 3156864 3 Cap. Senen Komp. Ruko Segitiga Atrium Senen Blok E/18 Jakpus 8 STIAMI Jl. Pangkalan Asem Raya No.55 T. 4213380 16 KK. Kec Cempaka Putih Jl. Rawasari Selatan I (Blk Ps. Rawa Kerbau) Jakpus TOTAL 32 JAKARTA BARAT 1 STMIK Swadharma Jl. Malaka No.3 Taman Sari T. 6915209 1 Cap. Krekot Jl. Mangga Besar VIII No. 12 Jakbar 2 STT PLN Jl. Lingkar Luar Brt Duri Kosambi Cengkareng T. 5440342 1 KK. Kec. Cengkareng Jl. Kamal Raya No. 1 Cengkareng Barat Jakbar 3 Universitas Esa Unggul Jl. -
(Pb) Pollution in the River Estuaries of Jakarta Bay
The Sustainable City IX, Vol. 2 1555 Analysis of lead (Pb) pollution in the river estuaries of Jakarta Bay M. Rumanta Universitas Terbuka, Indonesia Abstract The purpose of this study is to obtain information about the level of Pb in the sediment of the estuaries surrounding Jakarta Bay and to compare them. Samples were taken from 9 estuaries by using a grab sampler at three different location points – the left, right and the middle sides of the river. Then, samples were collected in one bottle sample and received drops of concentrated HNO3. The taking of samples was repeated three times. In addition, an in situ measurement of pH and temperature of samples was taken as proponent data. The Pb concentration of the river sediment was measured using an AAS flame in the laboratory of Balai Penelitian Tanah Bogor. Data was analyzed statistically (one way ANOVA and t-test student) by using SPSS-11.5 software. The results show that Pb concentration in the sediment of the estuaries surrounding Jakarta was quite high (20–336 µg/g). The sediment of Ciliwung River in the rainy season was the highest (336 µg/g). Pb concentration of sediment in the dry season was higher than that in the rainy season, except in Ciliwung River. It was concluded that all rivers flowing into Jakarta Bay make a significant contribution to the Pb pollution in Jakarta Bay, and the one with the largest contribution was Ciliwung River. Keywords: Pb, sediment, estuaries, dry season, rainy season, AAS flame. 1 Introduction Jakarta Bay (89 km of length) is formed as a result of the extension of Karawang Cape in the eastern region and Kait Cape in the western region into the Java Sea (Rositasari [1]). -
Presentation Title
GREATER JAKARTA CONDOMINIUMDECEMBER 2018 MARKETBEATS 4.55% 49.9% 32,522 UNITS PRICE GROWTH VACANCY RATE NEW COMPLETION (YoY) (Q4 2018) (YTD) ECONOMIC INDICATORS 12-months HIGHLIGHTS Q4 18 Q4 17 Forecast GDP Growth 5.10% 5.17% Economy remains stable Inflation Rate (YTD) 3.23% 3.61% Gross Domestic Product (GDP) is expected to reach 5.1% for full year 2018. The Central Bank Rate 6.00% 4.25% Rupiah experienced a slight appreciation of 3.0% QoQ to Rp.14,372 per US$ 1.00, Source: Central Statistic Bureau & Central Bank of Indonesia whilst YoY inflation reached 3.23%, slightly lower than the 3.61% rate in 2017. The stock market saw an increase of 1.88% during the last quarter of 2018, with the AVERAGE PRICE/SQ.M & GROWTH RATE composite index closing at 6,089 on December 17. 50,000,000 10.0% 40,000,000 8.0% Project completion pushed back to 2019 30,000,000 6.0% Sixteen projects were completed during the last quarter of 2018, bringing 8,014 units of 20,000,000 4.0% Growth Rate Growth new supply, an increase of 3.1% in the total existing supply from the previous quarter. 10,000,000 2.0% Hard Cash PriceHard(psm) However, the number of newly launched and under construction projects declined by 0 0.0% 1.4% and 1.8% since the third quarter of 2018, as developers deferred project launches Q214 Q314 Q414 Q115 Q215 Q315 Q415 Q116 Q216 Q316 Q416 Q117 Q217 Q317 Q417 Q118 Q218 Q318 Q418 to 2019. -
Water Quality of Angke River: Microbiological Point of View
82 Tjampakasari and Wahid Med J Indones Water quality of Angke River: Microbiological point of view Conny Riana Tjampakasari, Mardiastuti H Wahid Abstrak Penelitian ini merupakan bagian dari penelitian multidisiplin di Kali Angke. Tujuan dilakukannya penelitian ini adalah untuk mengetahui kualitas air sungai ditinjau dari aspek mikrobiologik di beberapa lokasi sepanjang Kali Angke. Lokasi yang diteliti meliputi: Duri Kosambi, Pesing Poglar, Teluk Gong, Pantai Indah Kapuk dan Muara (4 titik). Pemeriksaan dilakukan berdasarkan petunjuk standar Departemen Kesehatan, Republik Indonesia dan hasilnya disimpulkan sesuai Peraturan Pemerintah Republik Indonesia. Parameter yang digunakan dalam uji mikrobiologi adalah most probable number (MPN) dari total dan fecal coliform, yang dilakukan dalam 2 langkah: uji presumtif dan uji konfirmasi. Uji lengkap dilakukan untuk mengkonfirmasi adanya E.coli dan bakteri lain dalam air. Hasil yang didapat menunjukkan bahwa mutu air Kali Angke kurang baik dan tidak dianjurkan sebagai air minum. Berdasarkan parameter mikrobiologik, kualitas air sungai ini dikategorikan sebagai kelas 2 yang artinya hanya dapat digunakan untuk rekreasi air, pembudidayaan ikan air tawar, peternakan, mengairi pertanaman dan atau peruntukkan lain yang memper syaratkan mutu air yang sama dengan kegunaan tersebut. Most probable number dari total coliform di daerah Pantai Indah Kapuk dan bagian luar daerah Muara lebih rendah dari daerah lainnya. Masyarakat yang tinggal di Pantai Indah Kapuk memiliki tingkat ekonomi yang lebih tinggi, dengan demikian dapat diasumsikan bahwa masyarakat ini memiliki tingkat pendidikan yang lebih tinggi dan memiliki kesadaran tentang kebersihan lingkungan yang lebih baik. Selanjutnya, air di daerah paling luar dari Muara memiliki kadar garam yang tinggi sehingga dapat membunuh bakteri-bakteri patogen. Akhir kata, kualitas air di sepanjang Kali Angke adalah air kelas dua yang tidak layak minum kecuali di daerah Pantai Indah Kapuk dan Muara yang layak minum sesudah dididihkan. -
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 -
Metal Speciation in Sediment from Muara Angke, Jakarta Bay Using of BCR Sequential Extraction Procedure
ILMU KELAUTAN: Indonesian Journal of Marine Sciences March 2019 Vol 24(1):23-30 ISSN 0853-7291 Metal Speciation in Sediment from Muara Angke, Jakarta Bay Using of BCR Sequential Extraction Procedure Lestari* and Fitri Budiyanto Research Centre for Oceanography, Indonesia Institute of Science Jl. Pasir Putih I Ancol Timur Jakarta Utara 14430, Indonesia Email: [email protected] Abstract The assessment of the biological availability of metals is rarely used only by knowing the total concentration of the metal. Therefore, six sediment samples from Muara Angke, Teluk Jakarta were assessed the chemical speciation of heavy metals. This study aims to determine metal speciation using the BCR sequential extraction procedure and to determine metal speciation to evaluate bioavailability in the sediments of Muara Angke, Jakarta Bay. In sediment from Muara Angke, the ability to move sequence of heavy metals studied was Pb>Zn>Cu>Ni. The mostly accumulated in the non-residual fraction of the total concentrations are Cu, Ni, Pb and Zn which indicated that the mobility and anthropogenic inputs of these metals in Muara Angke were quite high. The Risk Assessment Code (RAC) reveal that Zn and Ni at almost station exist in exchangeable and a fraction of carbonate-bound and therefore high-risk category. Most of the Cu at most of the station is in the oxidizable fraction, except a small portion found at all station is in the exchangeable fraction and fraction of carbonate-bound thus posing a low risk for the waters environment. The patterns of Pb speciation show no to low risk to the waters environment. -
Numerical Simulation of Cohesive Sediment Transport in Jakarta Bay
International Journal of Remote Sensing and Earth Sciences Vol. 6: 65-76 (2009) © IReSES NUMERICAL SIMULATION OF COHESIVE SEDIMENT TRANSPORT IN JAKARTA BAY I. M. Radjawane1 And F. Riandini2 Abstract. The 3D-numerical model has been applied to simulate the current circulation and cohesive sediment transport in the Jakarta Bay, Indonesia. Sediment load comes from 3 river mouths i.e. Angke River, Karang River, and Ancol River. The model was simulated to analyze the effect of tidal current and river discharge. A constant westerly and easterly wind was used as input of the model to see the influence of monsoonal season. The numerical results showed that the tidal current flows from east to western part of the bay during ebb tide and vice versa during flood tide. The surface current circulation was dominantly influenced by the tidal current compared with the wind and river discharge effects. High turbidity level was found near the river mouths with the range of 50 to 100 mg/l. This high sediment concentration was caused by the effect of sediment load from the river upstream. In the offshore area of the bay the sediment concentration decreases up to 10 mg/l. The movement of sediments followed the current circulations. During the flood tide, the sediment concentration from the mouth of Angke River moved to the western part of the bay. Model simulated for increasing the river discharge into two times showed that the sediment distributed to the offshore direction two times longer compare with the normal debit. The transport of sediment from the Angke and Karang Rivers to the offshore area reached > 6 km, while it just reached + 2,5 km from the Ancol River . -
Vegetarian Selection
Home Catering Selection 0811-1627-493 Throughout a lifetime, everyone has their troubles. Big problems and small. We each have our fear, our grief, our hassle. The thing is, our troubles were local and unique. It was easy to walk away from our drama, at least for a moment, because everyone else had something else they were dealing with. For the last two months, that hasn't been true. For anyone. We get it, no one can avoid talking and acting in reference to the pandemic. With every interaction, the story gets amplified, hashtags, memes and all... So, while waiting and hoping for better days, we prepared a home-catering selection to try and continue doing what we love. We priced it as reasonably as we could, offering you large portions and our own free in-house delivery if you stay* close enough to us. We decided to waive our service charge so you could continue to experience our delicious casual Mediterranean comfort food, prepared from fresh proximity ingredients. Bon appétit! JC & Team VEGETARIAN SELECTION EGGPLANT PARMIGIANA -145 For 2 to 3 servings: Oven-baked layers of thin fried eggplant slices, Parmigiano & Mozzarella in our home-made tomato sauce SICILIAN CAPONATA -95 For 4 servings (400 g): Deep-fried eggplant cubes in a home-made onion and tomato sauce, green olives, capers, sliced almonds & raisins, finished in a sweet & sour way with sugar & red wine vinegar RAVIOLI POMODORO -175 For 3 servings: Ricotta & spinach ravioli in home-made tomato sauce TUNISIAN LABLABI -145 For 3 servings: Traditional chickpeas soup with cumin, -
Development Characteristics of a Coastal Slum Area in Indonesia: a Case Study of Fishermen Settlements in Muara Angke, North Jakarta
LIFEWAYS 37 International Journal of Society, Development and Environment in the Developing World Volume 3, Issue 1, April 2019 (37-54) Development Characteristics of a Coastal Slum Area in Indonesia: A Case Study of Fishermen Settlements in Muara Angke, North Jakarta RATNAWATI YUNI SURYANDARI1, LAILI FUJI WIDYAWATI1 1Department Urban and Regional Planning, Esa Unggul University, Jakarta, Indonesia Correspondence: Ratnawati Yuni Suryandari (email: [email protected]) Abstract As a fast developing and urbanizing country, the problem of slums those unplanned and unorganized settlements - does not only hit big cities, but almost every region in Indonesia. One such example can be found in the coastal areas of– Muara Angke, a fishing settlement area located in North Jakarta. This study identifies and analyses the characteristics of slum areas in Muara Angke based on seven physical criteria, namely, buildings, roads, drinking water, drainage, waste, garbage and fire protection. Primary data were obtained from a questionnaire survey of 70 local respondents supplemented by field observations. Secondary data were gathered from published and unpublished documents. Results of the study revealed that improvements of living conditions in the fishing slum village of Muara Angke were at moderate-to-very high levels. While buildings in the Muara Angke slums were of irregular quality, the quality of the fire protection service in the slums was moderately low. By contrast, the scores for building density was high as was the supply of drinking water and the provision of local drainage. In terms of environmental quality in the slums, road conditions, waste water management and solid waste management received very high scores. -
Reconnaissance Study Of
NO. RECONNAISSANCE STUDY OF THE INSTITUTIONAL REVITALIZATION PROJECT FOR MANAGEMENT OF FLOOD, EROSION AND INNER WATER CONTROL IN JABOTABEK WATERSHED FINAL REPORT JANUARY 2006 JAPAN INTERNATIONAL COOPERATION AGENCY YACHIYO ENGINEERING CO., LTD GE JR 05-060 RECONNAISSANCE STUDY OF THE INSTITUTIONAL REVITALIZATION PROJECT FOR MANAGEMENT OF FLOOD, EROSION AND INNER WATER CONTROL IN JABOTABEK WATERSHED FINAL REPORT JANUARY 2006 JAPAN INTERNATIONAL COOPERATION AGENCY YACHIYO ENGINEERING CO., LTD RECONNAISSANCE STUDY OF THE INSTITUTIONAL REVITALIZATION PROJECT FOR MANAGEMENT OF FLOOD, EROSION AND INNER WATER CONTROL IN JABOTABEK WATERSHED FINAL REPORT TABLE OF CONTENTS 1. INTRODUCTION .............................................................. 1 1.1 BACKGROUND ................................................................ 1 1.2 OBJECTIVES....................................................................... 1 1.3 STUDY AREA..................................................................... 2 2. PRESENT CONDITIONS................................................. 3 2.1 SOCIO-ECONOMIC CONDITIONS.................................. 3 2.1.1 Administration........................................................ 3 2.1.2 Population and Households.................................... 6 2.2 NATURAL CONDITIONS.................................................. 7 2.2.1 Topography and Geology ....................................... 7 2.2.2 Climate ................................................................... 7 2.2.3 River Systems........................................................ -
In North Jakarta
________________ - b ~ ~ 822 IDJA9O MONITORING AND EVALUATION OF PUBLIC HYDRANTS & WATER TERMINALS IN NORTH JAKARTA Final Report Joint cooperation of: National Development Planning Board (BAPPENAS) United Nations Children’s Fund (UNICEF) Yayasan Dian Desa Yayasan Dian Desa Yogyakar~s May, 1990 822—IDJA9O—8760 UBRARY INTERNATIONAL REFERENCE CENTRE FOR COMMUN. ~YWATER SUPPLY AND SANITATION (1RC~ ACKNOWLEDGEMENT The final report on monitoring and evaluation of Public hydrants and Water Terminals in North Jakarta is part of the agreement between Yayasan Dian Desa, Unicef and Bappenas. The objectiveof the monitor- ing and evaluation is to analyze the status of the government assisted public hydrants and water terminals, problems occur during the project implementation, their operation and management, the impact, and the community perception of the program. The result will serve as inputs to improve the program as well as for the basis to define future similarprograms inNorth Jakarta or inother areas. The Monitoring and evaluation was conducted for six months since October 1989 to March 1990. To get maximal data the Yayasan Dian Desa team integratedto the localpeople by living for 5 months in several kampungs of the monitoring area in North Jakarta. Besides direct interaction with the community, the team interviewed 650 families, 150 pushcartwater vendors and all the public hydrants and water terminal caretakers (104). Yayasan Dian Desa would not be able to conduct the monitoring and evaluation well without the assis- tance of many people involved in the project. We therefore would like to thank Dr. Sukirman and Mr. Adam from Bappenas, Mr. Tambing from DAB Cipta Karya who have given their valuable inputs and ideas, to Mr. -
Income Inequality and Socioeconomic Segregation in Jakarta
Chapter 7 Income Inequality and Socioeconomic Segregation in Jakarta Deden Rukmana and Dinar Ramadhani Abstract Socioeconomic segregation has become a common phenomenon, both in the Global North and Global South, and highly relates to income inequality. The merging of these two notions affects the geography of residential areas which are based on the socio-occupational composition. This chapter focuses on the Jakarta Metropolitan Area (JMA). Not only is Jakarta the largest metropolitan area in South- east Asia, it is also one of the most dynamic. Batavia, the colonial capital of the former Dutch East Indies in the first half of the twentieth century, was a small urban area of approximately 150,000 residents. In the second half of the century, Batavia became Jakarta, a megacity of 31 million people and the capital of inde- pendent Indonesia was beset with most of the same urban problems experienced in twenty-first-century Southeast Asia, including poverty, income inequality, and socioeconomic segregation. This study aims to identify the correlation among income inequality, socioeconomic segregation, and other institutional and contextual factors which caused residential segregation in JMA. The analysis consists of two stages. First, we examine income inequality measured by the Gini Index as well as the occu- pational structure based on the International Standard Classification of Occupations (ISCO). Second, we investigate residential segregation by using the Dissimilarity Index as a result of socioeconomic intermixing in residential areas. The data in this study comes from multiple sources including Indonesia’s Central Bureau of Statis- tics, Indonesia’s National Socio-economic Survey (Susenas), Indonesia’s Economic Census, Jakarta’s Regional Bureau of Statistics, and policies related to the housing system and investment in the JMA.