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Dataset ini berisikan tentang 10 penyakit terbanyak di rawat jalan RSUD Provinsi DKI Jakarta Tahun 2019 Penjelasan variabel dari dataset ini sebagai berikut : nama_diagnosa :...Description in English:
[MT] This dataset contains about 10 diseases in outpatient hospitals Jakarta Year 2019Penjelasan variables from this dataset as follows: 1. nama_diagnosa Diagnosis pasien2 disease. kode_diagnosa: pasien3 disease diagnosis codes. jumlah_pasien: The numbe... -
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Dataset ini mengenai data jumlah dan jenis 10 Penyakit Terbanyak Rawat Jalan di RSUD DKI Jakarta Tahun 2020 Penjelasan variabel dari dataset ini sebagai berikut : nama_diagnosa...Description in English:
[MT] This dataset as the number and types 10 Most Diseases Hospital Outpatient in Jakarta Year 2020Penjelasan variables from this dataset as follows: 1. nama_diagnosa Diagnosis pasien2 disease. kode_diagnosa: pasien3 disease diagnosis codes. jumlah_pasi... -
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Terdiri dari: 1 Kecamatan_/_Kelurahan 1 Balita_Ditimbang_Laki-laki 3 Balita_Ditimbang_Perempuan 4 Status_Gizi_Baik_Laki-laki 5 Status_Gizi_Baik_Perempuan 6...Description in English:
[MT] Consists of: 1 Subdistrict _ / _ Kelurahan1 Balita_Ditimbang_Laki-laki3 Balita_Ditimbang_Perempuan4 Status_Gizi_Baik_Laki-laki5 Status_Gizi_Baik_Perempuan 6-laki7 Status_Gizi_Kurang_Laki Status_Gizi_Kurang_Perempuan8 Status_Gizi_Sangat_Kurang_Laki-... -
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تعرض مجموعة البيانات عدد الممرضات الموزعات حسب مكان العمل والمنطقة الطبية والجنسية (الجنسية) والجنس.Description in English:
[MT] The data set displays the number of nurses distributed depending on the workplace, medical and nationality (nationality) and sex. -
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The dataset presents the total number of employees distributed by job category, job title, nationality (Citizens and Non-Citizens), medical district, and sex.Description in English:
The dataset presents the total number of employees distributed by job category, job title, nationality (Citizens and Non-Citizens), medical district, and sex. -
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The dataset presents the number of manpower distributed by job category (Consultant, Specialist, Practitioner, Dentist, Pharmacist, Nurse, etc), nationality (citizenship), and...Description in English:
The dataset presents the number of manpower distributed by job category (Consultant, Specialist, Practitioner, Dentist, Pharmacist, Nurse, etc), nationality (citizenship), and district for 2002. -
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The dataset presents the number of nurses distributed by place of work, specialty, nationality (citizenship), and sex.Description in English:
The dataset presents the number of nurses distributed by place of work, specialty, nationality (citizenship), and sex. -
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Nurses by Category, Medical District, Nationality, and SexDescription in English:
Nurses by Category, Medical District, Nationality, and Sex -
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Jumlah Penagih Dadah Mengikut NegeriDescription in English:
[MT] Number of Drug Addicts by State -
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Dataset ini mengenai 10 Penyakit Terbanyak Rawat Inap di RSUD DKI Jakarta tahun 2020 Penjelasan variabel dari dataset ini sebagai berikut : nama_diagnosa : Diagnosa penyakit...Description in English:
[MT] The dataset is about 10 Disease Most Hospitalization in hospitals in Jakarta in 2020Penjelasan variables from this dataset as follows: 1. nama_diagnosa Diagnosis pasien2 disease. kode_diagnosa: pasien3 disease diagnosis codes. jumlah_pasien: The nu... -
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Tabel terdiri dari: 1. Jenis Penyakit Tidak Menular 2. Laki-laki 3. Perempuan 4. JumlahDescription in English:
[MT] Table consists of: 1. Type Diseases Menular2. Male laki3. Perempuan4. amount -
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احصائيات الخدمات الطبية الأخرى بمواسم حج في الأعوام من 1437ه إلى 1439 ه (2016م-2018م)Description in English:
Statistics of other medical services in Hajj seasons during 1437 and 1439H (2016-2018G) -
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Tabel terdiri dari: 1.Kecamatan 2.Jumlah Kelahiran Hidup 3.Kematian Bayi Laki-laki 4.Kematian Bayi Perempuan 5.Jumlah Kematian Bayi 6.AKB/IMRDescription in English:
[MT] Table consists of: 1.Kecamatan2.Jumlah Birth Baby Hidup3.Kematian laki4.Kematian Male Infant Mortality Perempuan5.Jumlah Bayi6.AKB / IMR -
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Tabel terdiri dari: 1.Kecamatan 2.Jumlah Kelahiran Hidup 3.Kematian Ibu Hamil 4.Kematian Ibu Bersalin 5.Kematian Ibu Nifas 6.Jumlah Kematian Ibu 7.Angka Kematian IbuDescription in English:
[MT] Table consists of: 1.Kecamatan2.Jumlah Hidup3.Kematian Birth Mother Mother Nifas6.Jumlah Bersalin5.Kematian Hamil4.Kematian Mother Mortality Maternal Mortality Ibu7.Angka -
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Tabel terdiri dari: 1.Kecamatan 2.Jumlah Kelahiran Hidup 3.Kematian Neonatal Laki-laki 4.Kematian Neonatal Perempuan 5.Jumlah Kematian Neonatal 6.NNDRDescription in English:
[MT] Table consists of: 1.Kecamatan2.Jumlah Male Birth Hidup3.Kematian laki4.Kematian Neonatal Neonatal Neonatal Death Perempuan5.Jumlah 6.NNDR -
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Tabel terdiri dari: 1. Kecamatan 2. Jumlah Kelahiran Hidup 3. Post Neonatal (Laki-laki, Perempuan, Jumlah) 4. PNNDRDescription in English:
[MT] Table consists of: 1. Kecamatan2. Number of Birth Hidup3. Post Neonatal (Male, Female, Number) 4. PNNDR -
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Tabel terdiri dari: Bulan, banyak pasien, pasien rujukan, pasien non rujukan, tindak lanjut perlayanan dirawat, tindak lanjuk pelayanan rujuk, tindak lanjut pelayanan pulang,...Description in English:
[MT] Table consists of: the Moon, many patients, patient referral, patients with non-referral, follow-up perlayanan treated, follow lanjuk reconciliation services, follow-up home care, the patient dies, the patient recovered -
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Daftar dan jenis ambulance AGD 118 di Provinsi DKI Jakarta Tahun 2018 Penjelasan Variabel ini Berisi Mengenai : kendaraan : Kendaraan merk : Merk no_rangka : Nomor rangka...Description in English:
[MT] List and type of ambulance AGD 118 in Jakarta Year 2018Penjelasan This variable Contains Regarding: 1. vehicle: Kendaraan2. brand: Merk3. no_rangka: Number rangka4. no_mesin: Number mesin5. no_polisi: Number polisi6. no_bpkb: No BPKB7. ket: Specifi... -
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梼原測定所の2004年における測定結果の月別確定値Description in English:
[MT] Yusuhara monthly determined value of the measurement results in 2004 of measurement stations -
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蟠竜湖測定所の2009年における測定結果の月別確定値Description in English:
[MT] Banryuko monthly determined value of the measurement results in 2009 of measurement stations
Funder:IDB, MOEA, R.O.C
Supervisor:TCA
Principal Investigator:Dr. Cheng-Kiang Farn
Co-Principal Investigator:Dr. Chi-Feng Tai
Co-Principal Investigator:Dr. Hsiao-Fen Chen
Programmer:Zhi-Yi Luo