diff --git "a/2020/session-2/inquiry-parse/1-20-1.pdf.10.json" "b/2020/session-2/inquiry-parse/1-20-1.pdf.10.json" --- "a/2020/session-2/inquiry-parse/1-20-1.pdf.10.json" +++ "b/2020/session-2/inquiry-parse/1-20-1.pdf.10.json" @@ -3,26 +3,14 @@ "source": "data/2020/session-2/inquiry-extract/1-20-1.pdf.pickle", "year": 2020, "session": 2, - "dun": "selangor", - "parse_time": "2024-06-14 00:38:09.314564", - "_type": "Meta" + "dun": "selangor" }, - "is_oral": false, "inquirer": { "name": "Y.B. PUAN ROZANA BINTI ZAINAL ABIDIN", - "raw": null, - "title": [], - "area": "N09 PERMATANG", - "role": null, - "_type": "Person" + "area": "N09 PERMATANG" }, "respondent": { - "name": "Y.A.B. Dato' Menteri Besar", - "raw": null, - "title": [], - "area": null, - "role": null, - "_type": "Person" + "name": "Y.A.B. Dato' Menteri Besar" }, "number": 10, "title": "PEKERJA ASING DAN PELARIAN ROHINGYA DI SELANGOR", @@ -31,16 +19,14 @@ { "type": "listitem", "value": "a) Senaraikan taburan pekerja asing dan pelarian Rohingya yang menetap di Selangor mengikut daerah dan bilangan.", - "image": null, - "_type": "ContentElement" + "image": null } ], [ { "type": "listitem", "value": "b) Memandangkan ujian saringan jangkitan COVID-19 yang mahal, bagaimana Kerajaan Negeri memastikan bahawa wabak tidak berlaku di kalangan pekerja asing dan pelarian?", - "image": null, - "_type": "ContentElement" + "image": null } ] ], @@ -49,87 +35,74 @@ { "type": "listitem", "value": "a) Berdasarkan rekod Jabatan Imigresen Malaysia (JIM), bilangan pekerja asing yang memilikiPas Lawatan Kerja Sementara (PLKS) di Negeri Selangor pada tahun 2019 ialah seramai 602,739 orang yang dibenarkan bekerja dalam sektor-sektor termasuklah Perkilangan, Pembinaan, Perladangan, Perkhidmatan, Pertanian, Perlombongan/ Pengkuarian dan sektor Pembantu Rumah Asing (PRA). Jabatan ini tidak mempunyai rekod mengikut taburan daerah di negeri ini. Manakala bagi pelarian Rohingya, Jabatan ini tidak mempunyai rekod memandangkan mereka tidak pernah didaftarkan.", - "image": null, - "_type": "ContentElement" + "image": null }, { "type": "narrativetext", "value": "Maklumat Tambahan", - "image": null, - "_type": "ContentElement" + "image": null }, { "type": "narrativetext", "value": "Pecahan Pekerja Asing di Negeri Selangor mengikut sektor:", - "image": null, - "_type": "ContentElement" + "image": null }, { "type": "table", "value": "i. Perkilangan ii. Pembinaan iii. Perladangan iv. Perkhidmatan v. Pertanian vi. Perlombongan/ Pengkuarian vii. Pembantu Rumah Asing - - - - - - - 220,163 orang 158,273 orang 29,954 orang 120,194 orang 21,062 orang 26 orang 53,067 orang Jumlah -", - "image": 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}, { "type": "text", "value": "602,739 orang", - "image": null, - "_type": "ContentElement" + "image": null }, { "type": "narrativetext", "value": "b) Beberapa strategi telah dirangka di peringkat Jabatan Kesihatan Kesihatan Negeri Selangor serta di peringkat pejabat- pejabat kesihatan daerah di seluruh Selangor", - "image": null, - "_type": "ContentElement" + "image": null }, { "type": "narrativetext", "value": "bagi mengelakkan wabak Covid-19 di kalangan pekerja warga asing serta pelarian, antaranya ialah:", - "image": null, - "_type": "ContentElement" + "image": null } ], [ { "type": "listitem", "value": "1. Menjalankan ujian saringan di sektor-sektor pekerjaan yang menggaji pekerja warga asing secara berfokus dan berkala.", - "image": null, - "_type": "ContentElement" + "image": null } ], [ { "type": "listitem", "value": "2. Menjalankan engagement dengan para majikan serta pemantauan ketat secara multi-agensi di sektor-sektor pekerjaan ini bagi memastikan mereka mematuhi SOP yang ditetapkan.", - "image": null, - "_type": "ContentElement" + "image": null } ], [ { "type": "listitem", "value": "3. Bagi kes-kes positif yang melibatkan warga asing, saringan kontak diperluaskan melibatkan kejiranan, kawasan tempat kerja dan tempat-tempat tumpuan warga asing dan tidak hanya tertumpu kepada kontak rapat sahaja.", - "image": null, - "_type": "ContentElement" + "image": null } ], [ { "type": "listitem", "value": "4. Bagi golongan pelarian atau PATI, kerjasama diwujudkan antara pihak Kesihatan dan agensi yang terlibat secara langsung dan tidak langsung dalam pengurusan golongan ini seperti Jabatan Imigresen, PDRM serta NGO-NGO bagi mengenalpasti keberadaan golongan ini untuk diambil tindakan seterusnya dijalankan ujian saringan ke-atas mereka.", - "image": null, - "_type": "ContentElement" + "image": null } ], [ { "type": "listitem", "value": "5. Bagi PATI yang ditahan, ujian saringan dijalankan bagi memastikan mereka bebas dari covid-19 sebelum mereka dimasukkan ke pusat-pusat tahanan dan bercampur bersama tahanan yang lain.", - "image": null, - "_type": "ContentElement" + "image": null } ] ], - "akn": "\n\n \n \n \n \n \n Y.B. PUAN ROZANA BINTI ZAINAL ABIDIN\n
\n

a) Senaraikan taburan pekerja asing dan pelarian Rohingya yang menetap di Selangor mengikut daerah dan bilangan.

\n
\n
\n

b) Memandangkan ujian saringan jangkitan COVID-19 yang mahal, bagaimana Kerajaan Negeri memastikan bahawa wabak tidak berlaku di kalangan pekerja asing dan pelarian?

\n
\n
\n \n Y.A.B. Dato' Menteri Besar\n
\n

a) Berdasarkan rekod Jabatan Imigresen Malaysia (JIM), bilangan pekerja asing yang memilikiPas Lawatan Kerja Sementara (PLKS) di Negeri Selangor pada tahun 2019 ialah seramai 602,739 orang yang dibenarkan bekerja dalam sektor-sektor termasuklah Perkilangan, Pembinaan, Perladangan, Perkhidmatan, Pertanian, Perlombongan/ Pengkuarian dan sektor Pembantu Rumah Asing (PRA). Jabatan ini tidak mempunyai rekod mengikut taburan daerah di negeri ini. Manakala bagi pelarian Rohingya, Jabatan ini tidak mempunyai rekod memandangkan mereka tidak pernah didaftarkan.

\n

Maklumat Tambahan

\n

Pecahan Pekerja Asing di Negeri Selangor mengikut sektor:

\n

i. Perkilangan ii. Pembinaan iii. Perladangan iv. Perkhidmatan v. Pertanian vi. Perlombongan/ Pengkuarian vii. Pembantu Rumah Asing - - - - - - - 220,163 orang 158,273 orang 29,954 orang 120,194 orang 21,062 orang 26 orang 53,067 orang Jumlah -

\n

602,739 orang

\n

b) Beberapa strategi telah dirangka di peringkat Jabatan Kesihatan Kesihatan Negeri Selangor serta di peringkat pejabat- pejabat kesihatan daerah di seluruh Selangor

\n

bagi mengelakkan wabak Covid-19 di kalangan pekerja warga asing serta pelarian, antaranya ialah:

\n
\n
\n

1. Menjalankan ujian saringan di sektor-sektor pekerjaan yang menggaji pekerja warga asing secara berfokus dan berkala.

\n
\n
\n

2. Menjalankan engagement dengan para majikan serta pemantauan ketat secara multi-agensi di sektor-sektor pekerjaan ini bagi memastikan mereka mematuhi SOP yang ditetapkan.

\n
\n
\n

3. Bagi kes-kes positif yang melibatkan warga asing, saringan kontak diperluaskan melibatkan kejiranan, kawasan tempat kerja dan tempat-tempat tumpuan warga asing dan tidak hanya tertumpu kepada kontak rapat sahaja.

\n
\n
\n

4. Bagi golongan pelarian atau PATI, kerjasama diwujudkan antara pihak Kesihatan dan agensi yang terlibat secara langsung dan tidak langsung dalam pengurusan golongan ini seperti Jabatan Imigresen, PDRM serta NGO-NGO bagi mengenalpasti keberadaan golongan ini untuk diambil tindakan seterusnya dijalankan ujian saringan ke-atas mereka.

\n
\n
\n

5. Bagi PATI yang ditahan, ujian saringan dijalankan bagi memastikan mereka bebas dari covid-19 sebelum mereka dimasukkan ke pusat-pusat tahanan dan bercampur bersama tahanan yang lain.

\n
\n
\n
\n
\n
\n
\n
\n", - "_type": "Inquiry" + "akn": "\n\n \n \n \n \n \n Y.B. PUAN ROZANA BINTI ZAINAL ABIDIN\n
\n

a) Senaraikan taburan pekerja asing dan pelarian Rohingya yang menetap di Selangor mengikut daerah dan bilangan.

\n
\n
\n

b) Memandangkan ujian saringan jangkitan COVID-19 yang mahal, bagaimana Kerajaan Negeri memastikan bahawa wabak tidak berlaku di kalangan pekerja asing dan pelarian?

\n
\n
\n \n Y.A.B. Dato' Menteri Besar\n
\n

a) Berdasarkan rekod Jabatan Imigresen Malaysia (JIM), bilangan pekerja asing yang memilikiPas Lawatan Kerja Sementara (PLKS) di Negeri Selangor pada tahun 2019 ialah seramai 602,739 orang yang dibenarkan bekerja dalam sektor-sektor termasuklah Perkilangan, Pembinaan, Perladangan, Perkhidmatan, Pertanian, Perlombongan/ Pengkuarian dan sektor Pembantu Rumah Asing (PRA). Jabatan ini tidak mempunyai rekod mengikut taburan daerah di negeri ini. Manakala bagi pelarian Rohingya, Jabatan ini tidak mempunyai rekod memandangkan mereka tidak pernah didaftarkan.

\n

Maklumat Tambahan

\n

Pecahan Pekerja Asing di Negeri Selangor mengikut sektor:

\n

i. Perkilangan ii. Pembinaan iii. Perladangan iv. Perkhidmatan v. Pertanian vi. Perlombongan/ Pengkuarian vii. Pembantu Rumah Asing - - - - - - - 220,163 orang 158,273 orang 29,954 orang 120,194 orang 21,062 orang 26 orang 53,067 orang Jumlah -

\n

602,739 orang

\n

b) Beberapa strategi telah dirangka di peringkat Jabatan Kesihatan Kesihatan Negeri Selangor serta di peringkat pejabat- pejabat kesihatan daerah di seluruh Selangor

\n

bagi mengelakkan wabak Covid-19 di kalangan pekerja warga asing serta pelarian, antaranya ialah:

\n
\n
\n

1. Menjalankan ujian saringan di sektor-sektor pekerjaan yang menggaji pekerja warga asing secara berfokus dan berkala.

\n
\n
\n

2. Menjalankan engagement dengan para majikan serta pemantauan ketat secara multi-agensi di sektor-sektor pekerjaan ini bagi memastikan mereka mematuhi SOP yang ditetapkan.

\n
\n
\n

3. Bagi kes-kes positif yang melibatkan warga asing, saringan kontak diperluaskan melibatkan kejiranan, kawasan tempat kerja dan tempat-tempat tumpuan warga asing dan tidak hanya tertumpu kepada kontak rapat sahaja.

\n
\n
\n

4. Bagi golongan pelarian atau PATI, kerjasama diwujudkan antara pihak Kesihatan dan agensi yang terlibat secara langsung dan tidak langsung dalam pengurusan golongan ini seperti Jabatan Imigresen, PDRM serta NGO-NGO bagi mengenalpasti keberadaan golongan ini untuk diambil tindakan seterusnya dijalankan ujian saringan ke-atas mereka.

\n
\n
\n

5. Bagi PATI yang ditahan, ujian saringan dijalankan bagi memastikan mereka bebas dari covid-19 sebelum mereka dimasukkan ke pusat-pusat tahanan dan bercampur bersama tahanan yang lain.

\n
\n
\n
\n
\n
\n
\n
\n" } \ No newline at end of file