Transparency Called for in Move to Degazette Kuala Langat Forest
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Compliance Behaviour of Business Zakat in Micro Enterprise Firms in Sabak Bernam District of Selangor
PROCEEDINGS OF THE FOURTH INTERNATIONAL WORKSHOP IN ISLAMIC ECONOMIC THEORY (4th IWIET 2020) ISBN: 978-967-17692-2-5 Compliance Behaviour of Business Zakat in Micro Enterprise Firms in Sabak Bernam District of Selangor Mohammad Firdaus Bin Ahmad Mohd Ali Bin Mohd Noor Hairunnizam Bin Wahid Faculty of Economics and Management Universiti Kebangsaan Malaysia Bangi, Selangor ABSTRACT Islam has decreed zakat (alms-giving) ritual as one of the demands in pillars of Islam functioning to purify one’s properties. Business zakat is a type of zakat applied to the business which comply with the conditions and nisab of zakat in a certain state. Arising research problem was of the unsatisfying performance in collection of business income in spite of progress in zakat collection in Malaysia indicating an increase every year. Objective of this research is to comprehend compliance behaviour of business zakat in micro enterprise firms in Sabak Bernam district using Theory of Planned Behaviour introduced by Ajzen (1991). Four main factors which are factor of religion, factor of attitude towards behaviour, factor of subjective norms, and factor of perceived behavioural control were accounted as the main factors for the implemented theory. Technique of binominal logistic regression analysis was applied to test the model of compliance behaviour in business zakat. A number of 105 questionnaires were distributed to micro enterprise players in service sector in Sabak Bernam district and it was found that research results indicated that the model of this study was consistent with suggestion by planned behaviour theory. Factor of perceived behavioural control was the most influencing factor of compliance behaviour of business zakat (β = 2.493) followed by factor of religion (β = 1.163) and then by factor of attitude towards business zakat (β = 1.054). -
Klang River Basin Environmental Improvement and Flood Mitigation Project
Completion Report Project Number: 26009 Loan Number: 1500 December 2007 Malaysia: Klang River Basin Environmental Improvement and Flood Mitigation Project CURRENCY EQUIVALENTS Currency Unit – ringgit (RM) At Appraisal At Project Completion 6 November 1996 31 August 2007 RM1.00 = $0.3962 $0.2899 $1.00 = RM2.5239 RM3.4494 ABBREVIATIONS ADB – Asian Development Bank AFS – audited financial statement ARI – average recurrence interval DID – Department of Irrigation and Drainage DOE – Department of Environment EA – executing agency EIRR – economic internal rate of return ha – hectare IRBM – integrated river basin management KBMC – Klang Basin Management Council km – kilometer MASMA – Urban Stormwater Management Manual for Malaysia (or Manual Saliran Mesra Alam Malaysia) MOA – Ministry of Agriculture MNRE – Ministry of Natural Resources and Environment MTR – midterm review MWSS – Malaysia Wetland Sanctuary, Selangor OPP3 – Malaysia Third Outline Perspective Plan O&M – operation and maintenance PAM – project administration memorandum PCR – project completion review PELAWI II Strategic Plan for Klang River Basin PPTA – project preparatory technical assistance SMART – storm water management and road tunnel TA – technical assistance NOTE In this report, "$" refers to US dollars. Vice President C. Lawrence Greenwood, Jr., Operations Group 2 Director General A. Thapan, Southeast Asia Department Director U. Malik, Agriculture, Environment and Natural Resources Division, Southeast Asia Department Team leader M. Nasimul Islam, Environmental Engineer, Southeast Asia Department Team members N. Calma, Associate Project Analyst, Southeast Asia Department H. Refareal-Nacario, Senior Operations Assistant, Southeast Asia Department CONTENTS Page BASIC DATA i MAP I. PROJECT DESCRIPTION 1 II. EVALUATION OF DESIGN AND IMPLEMENTATION 1 A. Relevance of Design and Formulation 1 B. Project Outputs 2 C. -
Member Report (Malaysia)
MEMBER REPORT (MALAYSIA) ESCAP/WMO Typhoon Committee 15th Integrated Workshop Video Conference 1-2 December 2020 Organised by Viet Nam Table of Contents I. Overview of tropical cyclones which have affected/impacted Malaysia in 2020 1. Meteorological Assessment (highlighting forecasting issues/impacts) 2. Hydrological Assessment (highlighting water-related issues/impact) (a) Flash flood in Kajang & Kuala Lumpur in July and September 2020 (b) Enhancement of Hydrological Data Management for DID Malaysia (c) Hydrological Instrumentation Updates for Malaysia (d) Drought Monitoring Updates 3. Socio-Economic Assessment (highlighting socio-economic and DRR issues/impacts) 4. Regional Cooperation Assessment (highlighting regional cooperation successes and challenges) II. Summary of progress in Priorities supporting Key Result Areas 1. Annual Operating Plan (AOP) for Working Group of Meteorology [AOP4: Radar Integrated Nowcasting System (RaINS)] 2. Annual Operating Plan (AOP) for Working Group of Hydrology (AOP2, AOP4, AOP5, AOP6) 3. The Government of Malaysia’s Commitment Towards Supporting the Sendai Framework for Disaster Risk Reduction I. Overview of tropical cyclones which have affected/impacted Malaysia in 2020 1. Meteorological Assessment (highlighting forecasting issues/impacts) During the period of 1 November 2019 to 31 October 2020, 27 tropical cyclones (TCs) formed over the Western Pacific Ocean, the Philippines waters as well as the South China Sea. Eight of the TCs entered the area of responsibility of the Malaysian Meteorological Department (MET Malaysia) as shown in Figure 1. The TCs, which consisted of seven typhoons and a tropical storm that required the issuance of strong winds and rough seas warnings over the marine regions under the responsibility of MET Malaysia, are listed in Table 1. -
Spatio-Temporal Clustering of Dengue Incidence
Universal Journal of Public Health 9(3): 120-130, 2021 http://www.hrpub.org DOI: 10.13189/ujph.2021.090303 Spatio-Temporal Clustering of Dengue Incidence Nik Nur Fatin Fatihah Sapri1, Wan Fairos Wan Yaacob2,*, Yap Bee Wah1, 3 Syed Sharizman Syed Abdul Rahim 1Faculty of Mathematical and Computer Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Malaysia 2Faculty of Mathematical and Computer Sciences, Universiti Teknologi MARA Cawangan Kelantan Kampus Kota Bharu, 15050 Kota Bharu, Kelantan, Malaysia 3Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Jalan UMS, 88400 Sabah, Malaysia Received January 1, 2021; Revised February 10, 2021; Accepted March 20, 2021 Cite This Paper in the following Citation Styles (a): [1] Nik Nur Fatin Fatihah Sapri, Wan Fairos Wan Yaacob, Yap Bee Wah, Syed Sharizman Syed Abdul Rahim , "Spatio-Temporal Clustering of Dengue Incidence," Universal Journal of Public Health, Vol. 9, No. 3, pp. 120 - 130, 2021. DOI: 10.13189/ujph.2021.090303. (b): Nik Nur Fatin Fatihah Sapri, Wan Fairos Wan Yaacob, Yap Bee Wah, Syed Sharizman Syed Abdul Rahim (2021). Spatio-Temporal Clustering of Dengue Incidence. Universal Journal of Public Health, 9(3), 120 - 130. DOI: 10.13189/ujph.2021.090303. Copyright©2021 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract Dengue fever is a well-known vector-borne transmitted to human body as susceptible host through disease caused by Aedes aegypti mosquito. It has become a biting of infective female Aedes Aegypti mosquitos. major burden to economy and society of affected country. -
Akademia Baru Sciences and Engineering Technology
Journal of Advanced Research in Applied Sciences and Engineering Technology 7, Issue 1 (2017) 32-42 Journal of Advanced Research in Applied Penerbit Akademia Baru Sciences and Engineering Technology Journal homepage: www.akademiabaru.com/araset.html ISSN: 2462-1943 Development of geological s tructure of Selangor basin using Open borehole lithology i nformation Nur Hidayu Abu Hassan 1,* , Mohamed Azwan Mohamed Zawawi 1, Nur Sabrina Nor Jaeman 1 1 Department of Biological and Agricultural Engineering, Faculty of Engineering Universiti Putra Malaysia, 43400 UPM Serdang Selangor, Malaysia ARTICLE INFO ABSTRACT Article history: The water shortage in Selangor Northwest Project rice granary areas has been growing Received 2 March 2017 concern. The increase in plant capacity and the El Nino phenomenon that hit Malaysia Received in revised form 17 May2017 (1998 & 2016) has cause the main source of irrigation; surface water and rainfall, could Accepted 20 May 2017 no longer meet the needs of paddy. As a consequence, paddy productivity has Available online 26 May 2017 becoming serious concern and urge for alternative irrigation water supply. At the same time, the use of groundwater as a source of alternative supply of irrigation water has started to get attentions. However, to determine the potential groundwater aquifer, preliminary study should be made in advance. Thus, the focus of this paper is to investigate the geological structure of the Selangor Basin by means analysis of borehole information. A total of 56 tube wells data were used to obtain layers of subsurface in the study area. By using groundwater modelling software (Visual MODFLOW), a model that represents an actual geological conditions has been made. -
(Emco) Sop in the State of Selangor Effective Date : 3 July 2021
ENHANCED MOVEMENT CONTROL ORDER (EMCO) SOP IN THE STATE OF SELANGOR EFFECTIVE DATE : 3 JULY 2021 Permitted Activities Effective Period 24 hours Permitted Hours As prescribed in the brief Movement of Allowed with for Activities description Residents conditions • One (1) representative from each home to buy necessities. ACTIVITY AND PROTOCOL • Essential services. Measure Brief Description Prohibited Activities AWALSELIA K – KAWALA Effective Period 3 July 2021 (12:01 am) to 16 July 2021 (11:59 pm) • Leaving the home for activities Areas Involved a) Petaling District: Petaling, Damansara, Sg. Buloh and Bukit Raja sub-districts other than those permitted without PDRM permission. b) Hulu Langat District: Hulu Langat, Ampang, Cheras Kajang, Semenyih and Beranang sub- • Exiting the area by residents. districts • Entry of others into an EMCO area. c) Sepang District: Dengkil, Labu and Sepang sub-districts Standing Orders d) Gombak District: Batu, Rawang, Setapak, Hulu Kelang and Kuang sub-districts • Subsection 11(3) of Act 342. • Subject to conditions issued by the e) Kuala Langat District: Tanjung 12 (1), Tanjung 12 (2), Teluk Panglima, Garang, Morib, Bandar, NSC and MOH. Jugra and Batu sub-districts • Other orders issued from time to time by the Authorized Officer f) Klang District: Kapar and Klang sub-districts under Act 342. g) Kuala Selangor District: Ijok, Bestari Jaya and Jeram sub-districts h) Hulu Selangor District: Serendah, Rasa, Ulu Yam and Batang Kali sub-districts For EMCOs in CLQ LRT 3 Sunway Constructions (Klang), Westlite SS 8 (Petaling Jaya), Mentari Court PJS 8 (Petaling Jaya), Taman Murni (Sepang) and CLQ Gardens Kundang Jaya (Rawang) please refer to the currently effective EMCO SOP. -
Determine Neighboring Region Spatial Effect on Dengue Cases Using Ensemble ARIMA Models
www.nature.com/scientificreports OPEN Determine neighboring region spatial efect on dengue cases using ensemble ARIMA models Loshini Thiruchelvam1, Sarat Chandra Dass2, Vijanth Sagayan Asirvadam3*, Hanita Daud4 & Balvinder Singh Gill5 The state of Selangor, in Malaysia consist of urban and peri-urban centres with good transportation system, and suitable temperature levels with high precipitations and humidity which make the state ideal for high number of dengue cases, annually. This study investigates if districts within the Selangor state do infuence each other in determining pattern of dengue cases. Study compares two diferent models; the Autoregressive Integrated Moving Average (ARIMA) and Ensemble ARIMA models, using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) measurement to gauge their performance tools. ARIMA model is developed using the epidemiological data of dengue cases, whereas ensemble ARIMA incorporates the neighbouring regions’ dengue models as the exogenous variable (X), into traditional ARIMA model. Ensemble ARIMA models have better model ft compared to the basic ARIMA models by incorporating neighbuoring efects of seven districts which made of state of Selangor. The AIC and BIC values of ensemble ARIMA models to be smaller compared to traditional ARIMA counterpart models. Thus, study concludes that pattern of dengue cases for a district is subject to spatial efects of its neighbouring districts and number of dengue cases in the surrounding areas. Dengue is a vector-borne disease, transmitted by two types of mosquito vectors; the Aedes Aegypti and Aedes Albopictus, where the life-cycle of the vector and transmission of the disease are closely related to climate variables1. Dengue is endemic in tropical and subtropical regions worldwide, and this includes Malaysia, spe- cifcally the state of Selangor2. -
Subang Jaya, Malaysia – an Action Plan Towards Adequate Housing for All”
Affordable Living in Sustainable Cities Congress Newcastle NSW 2018 “TOD Initiatives in the City of Subang Jaya, Malaysia – An Action Plan towards Adequate Housing for All” By KHAIRIAH TALHA Hon. President EAROPH 1 SUBANG JAYA CITY PROFILE 2 KEY PLAN LOCATION PLAN PERAK Perlis THAILAND Kedah Sabak PAHANG Bernam Hulu P.Pinang Selangor Kelantan Kuala Terengganu Laut China Selangor Perak Selatan Gombak KUALA Pahang PetalingLUMPUR Hulu Langat Selangor Klang MPSJ MPSJ K.Lumpur Putrajaya N.Sembilan Kuala Langat NEGERI Melaka Sepang SEMBILAN Johor INDONESIA SINGAPURA 3 ADJOINING DEVELOPMENTS 4 POPULATION MPSJ TOTAL AREA PROJECTION 2015 - 2035 CURRENT YEAR 2015 POPULATION 798,830 YEAR 2020 968,930 16,180.00 YEAR 2025 HECTARE 1,161,513 YEAR 2030 1,349,841 YEAR 2035 1,556,6565 POPULATION PROJECTION FOR MPSJ 2015 - 2035 900,000 800,000 700,000 600,000 500,000 400,000 300,000 200,000 100,000 0 YEAR 2010 YEAR 2015 YEAR 2020 YEAR 2025 YEAR 2030 YEAR 2035 MALE FEMALE GENDER 2010 % 2015 % 2020 % 2025 % 2030 % 2035 % MALE 335,567 51.24 406,636 50.90 490,031 50.57 583,920 50.27 673,885 49.92 772,057 49.60 FEMALE 319,385 48.76 392,194 49.10 478,899 49.43 577,592 49.73 675,957 50.08 784,599 50.40 Total 654,952 100.00 798,829 100.00 968,930 100.00 1,161,512 100.00 1,349,842 100.00 1,556,656 100.006 CURRENT LANDUSE ( 2015) EXISTING HOUSING ( 2015) HIGH-RISE HOUSING, 9.33 HOUSING / RESIDENTIAL LOW COST TOWN HOUSE, 25% CLUSTER, 0.07 HIGH-RISE, 3.68 TRANSPORTATION 0.47 26% TERREACE HOUSING, GOVERNMENT 40.77 QUARTER, 0.03 OTHERS, 11.78 WATER BODIES 1% VACANT LAND -
GH 9 1 Ordinato Layout 1
Geospatial Health 9(1), 2014, pp. 131-140 Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level Cheong Y. Ling1,2, Oliver Gruebner3, Alexander Krämer4, Tobia Lakes1 1Geoinformation Science Lab, Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany; 2Medical Research Resource Centre, Institute for Medical Research, Jalan Pahang, Kuala Lumpur, Malaysia; 3Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA; 4Department of Public Health Medicine, University of Bielefeld, Bielefeld, Germany Abstract. Spatio-temporal patterns of dengue risk in Malaysia were studied both at the address and the sub-district level in the province of Selangor and the Federal Territory of Kuala Lumpur. We geocoded laboratory-confirmed dengue cases from the years 2008 to 2010 at the address level and further aggregated the cases in proportion to the population at risk at the sub-district level. Kulldorff’s spatial scan statistic was applied for the investigation that identified changing spatial patterns of dengue cases at both levels. At the address level, spatio-temporal clusters of dengue cases were concentrated at the central and south-eastern part of the study area in the early part of the years studied. Analyses at the sub-district level revealed a consistent spatial clustering of a high number of cases proportional to the population at risk. Linking both levels assisted in the identification of differences and confirmed the presence of areas at high risk for dengue infection. Our results suggest that the observed dengue cases had both a spatial and a temporal epidemiological component, which needs to be acknowl- edged and addressed to develop efficient control measures, including spatially explicit vector control. -
Integrated Management Plan for North Selangor Peat Swamp Forest 2014-2023 (Vol
This publication is supported by the ASEAN Peatland Forests Project (APFP) with funding from the Global Environment Facility (GEF) and the International Fund for Agricultural Development (IFAD). Co-financing was provided by the Selangor State Government and the SEApeat project funded by the European Union (EU). Integrated Management Plan for North Selangor Peat Swamp Forest 2014-2023 (Vol. 1) Prepared by: Selangor State Forestry Department with technical support from Global Environment Centre (GEC). Copyright: © 2014 Selangor State Forestry Department 3rd Floor, Bangunan Sultan Salahuddin Abd. Aziz Shah, 40660 Shah Alam, Selangor Darul Ehsan, Malaysia. This publication should be cited as: Selangor State Forestry Department 2014, Integrated Management Plan for North Selangor Peat Swamp Forest 2014-2023. Reproduction of material from the publication for educational and other non-commercial purposes is authorised without prior permission from the copyright holder provided the source is fully acknowledged. All rights reserved. First published in 2014. Printed in Malaysia by Hizi Print Sdn. Bhd. (NO. 478629-H) Book design by Global Environment Centre. Front cover photo by Selangor State Forestry Department. ISBN: 978-967-10268-5-4 INTEGRATED MANAGEMENT PLAN FOR NORTH SELANGOR PEAT SWAMP FOREST 2014-2023 VOLUME 1 MAIN PLAN SUPPORTED BY: Integrated Management Plan for North Selangor Peat Swamp Forest 2014-2023 Vol. 1 FOREWORD Assalamualaikum Warahmatullahi Wabarakatuh It is a great honor for me to have the opportunity to write the foreword of Integrated Management Plan for North Selangor Peat Swamp Forest 2014-2023 (IMP-NSPSF 2014- 2023) which reflects the Selangor State Government’s commitment in balancing economic, social development and the environment factors in this state. -
On Average, the Density of Respondents at Each Location Was One Respondent Per 128 Ha
Appendix S1. The distribution of respondents (n = 362) in 36 locations in Selangor and Negeri Sembilan in the western coast of Peninsular Malaysia On average, the density of respondents at each location was one respondent per 128 ha Location Coordinates Total Total number Area per planted of respondents respondent area (ha) (ha) Latitude Longitude Conventional plantation Sungai Kelambu 2°45 45 N 101°33 07 E 624 4 156 Bukit Changgang 2°47 37 N 101°39 03 E 267 4 67 Gagasan 3°37 33 N 101°25 23 E 865 3 288 Sungai Tengi 3°38 42 N 101°25 00 E 1529 6 255 Sungai Panjang 3°39 47 N 101°16 14 E 1052 10 105 Soeharto 3°40 52 N 101°21 42 E 2204 23 96 Gedangsa 3°44 52 N 101°21 20 E 1805 4 451 Eco-friendly plantation Sua Betong 2°30 27 N 101°54 13 E 3045 29 105 Bukit Pelanduk 2°36 26 N 101°48 13 E 1770 15 118 Tanah Merah 2°38 31 N 101°48 13 E 4025 22 183 Sepang 2°41 56 N 101°44 35 E 1378 9 153 Kelanang Baru 2°47 20 N 101°27 24 E 495 6 83 Teluk Datok 2°48 19 N 101°31 28 E 275 2 138 Sungai Sedu 2°51 17 N 101°32 55 E 974 5 195 Sungai Buaya 2°52 19 N 101°27 42 E 490 2 245 Carey Island 2°53 24 N 101°23 42 E 11 509 29 397 Bukit Cerakah 3°09 25 N 101°23 58 E 1595 4 399 Bukit Kerayong 3°10 45 N 101°23 40 E 2024 3 675 Sungai Kapar 3°10 47 N 101°22 42 E 524 6 87 Elmina 3°14 14 N 101°30 26 E 1489 10 149 Kuala Selangor 3°16 28 N 101°22 41 E 506 2 253 Sungai Buloh 3°17 07 N 101°20 39 E 1676 2 838 Monmouth 3°19 32 N 101°21 42 E 594 11 54 Bukit Badong 3°20 39 N 101°26 29 E 246 1 246 Sungai Selangor 3°21 44 N 101°21 44 E 1735 12 145 Raja Musa 3°24 58 N 101°19 38 E 1187 2 594 Hopeful 3°28 03 N 101°27 58 E 718 8 90 Smallholding Kampung Endah 2°43 38 N 101°31 04 E 120 10 12 Sungai Lang Tengah 2°46 51 N 101°29 52 E 75 6 13 Bukit Changgang 2°49 50 N 101°37 21 E 200 17 12 Sungai Terap 3°17 36 N 101°25 54 E 90 9 10 Kampung Raja Musa 3°24 52 N 101°23 12 E 145 12 12 Kampung Tiram Jaya 3°26 46 N 101°14 52 E 180 12 15 Kampung Soeharto 3°41 31 N 101°22 48 E 350 19 18 Merbau Berdarah 3°42 52 N 101°84 29 E 450 27 17 Kampung Gedangsa 3°44 15 N 101°23 11 E 300 16 19 Page 1 of 4 Appendix S2. -
Annual Report 2019 Contents
ANNUAL REPORT 2019 CONTENTS The corporate logo comprises the word BERJAYA 01 Corporate Profile in gold and a symbol made up of closely interwoven 02 Corporate Information Bs in rich cobalt blue with gold lining around the circumference and a gold dot in the centre. 03 Profile of Directors 08 Key Senior Management BERJAYA means “success” in Bahasa Malaysia 11 Executive Chairman’s Message and reflects the success and Malaysian character of Berjaya Corporation’s core businesses. The 14 Management Discussion and Analysis intertwining Bs of the symbol represent our strong 30 Corporate Structure foundations and the constant synergy taking place within the Berjaya Corporation group of companies. 32 Group Financial Summary Each B faces a different direction, depicting the 33 Group Financial Highlights varied strengths of the companies that make up the Berjaya Corporation group of companies. 34 Sustainability Statement 59 Corporate Governance Overview Statement 74 Statement on Risk Management and VISION Internal Control 77 Audit Committee Report • To be an organisation which nurtures and carries on profitable and sustainable businesses in line with the 83 Statement of Directors’ Responsibility Group’s diverse business development and value in Respect of The Audited Financial creation aspirations and interests of all its stakeholders. Statements • To also be an organisation which maximises the value 84 Financial Statements of human capital through empowerment, growth and a 340 Material Properties of the Group commitment to excellence. 344 Material