Kelengkapan 9 Jenis Nakes di PAPUA
22,58%
28
Puskesmas Lengkap
77,42%
96
Puskesmas Belum Lengkap
Keterangan Kelengkapan 9 Jenis Nakes di PAPUA
76% - 100% | 51% - 75% | 26% - 50% | 0% - 25%Terdapat Kekurangan 193 Nakes Untuk Mengisi Kekosongan Puskesmas di PAPUA
| Kabupaten | Puskesmas | Jenis | Dokter | Dokter Gigi | Perawat | Bidan | Promosi Kesehatan | Sanitasi Lingkungan | Gizi | Farmasi | ATLM | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | ASN | Non-ASN | Total | |||
| SARMI | BURTIN | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 8 | 11 | 5 | 2 | 7 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | |
| SARMI | BETAF | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 8 | 16 | 3 | 3 | 6 | 1 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 2 | 1 | 0 | 1 | |
| SARMI | BONGGO | 2 | 0 | 2 | 0 | 0 | 0 | 6 | 7 | 13 | 7 | 4 | 11 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 2 | 3 | |
| SARMI | BONGGO TIMUR | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 4 | 10 | 5 | 1 | 6 | 2 | 2 | 4 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 2 | 2 | 0 | 1 | 1 | |
| SARMI | SAMANANTE | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 6 | 12 | 13 | 0 | 13 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| SARMI | SARMI | 2 | 3 | 5 | 0 | 0 | 0 | 25 | 20 | 45 | 12 | 7 | 19 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 1 | 6 | 1 | 3 | 4 | 3 | 3 | 6 | |
| SARMI | BAGAI SERWAR | 1 | 1 | 2 | 0 | 1 | 1 | 7 | 8 | 15 | 9 | 5 | 14 | 1 | 4 | 5 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | |
| SARMI | ARBAIS | 1 | 1 | 2 | 0 | 0 | 0 | 8 | 12 | 20 | 4 | 0 | 4 | 3 | 2 | 5 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | |
| SARMI | AURIMI | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 3 | 9 | 5 | 1 | 6 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| SARMI | PETAM KAMPUNG KASUKWE | 0 | 2 | 2 | 0 | 0 | 0 | 8 | 5 | 13 | 6 | 6 | 12 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 1 | 1 | 1 | 0 | 1 | |
| SARMI | BONGGO BARAT KAMPUNG KRIM PODENA | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 7 | 9 | 2 | 5 | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | |
| KOTA JAYAPURA | TWANO ENTROP | 2 | 0 | 2 | 1 | 0 | 1 | 7 | 0 | 7 | 5 | 2 | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1 | 3 | 2 | 1 | 3 | |
| KOTA JAYAPURA | EMEREUW | 1 | 2 | 3 | 0 | 1 | 1 | 8 | 2 | 10 | 5 | 0 | 5 | 0 | 1 | 1 | 1 | 0 | 1 | 2 | 2 | 4 | 1 | 0 | 1 | 2 | 0 | 2 | |
| KOTA JAYAPURA | KOYA BARAT | 1 | 2 | 3 | 1 | 0 | 1 | 16 | 0 | 16 | 7 | 4 | 11 | 1 | 1 | 2 | 1 | 0 | 1 | 4 | 0 | 4 | 4 | 4 | 8 | 2 | 0 | 2 | |
| KOTA JAYAPURA | SKOW MABO | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 1 | 5 | 3 | 2 | 5 | 2 | 1 | 3 | 2 | 0 | 2 | 4 | 0 | 4 | 2 | 0 | 2 | 3 | 1 | 4 | |
| KOTA JAYAPURA | ABEPURA | 2 | 5 | 7 | 1 | 0 | 1 | 6 | 3 | 9 | 4 | 1 | 5 | 1 | 2 | 3 | 2 | 0 | 2 | 1 | 0 | 1 | 2 | 2 | 4 | 3 | 1 | 4 | |
| KOTA JAYAPURA | ABE PANTAI | 0 | 6 | 6 | 1 | 0 | 1 | 9 | 4 | 13 | 8 | 3 | 11 | 0 | 1 | 1 | 1 | 0 | 1 | 4 | 0 | 4 | 1 | 1 | 2 | 3 | 0 | 3 | |
| KOTA JAYAPURA | WAENA | 4 | 1 | 5 | 0 | 1 | 1 | 8 | 3 | 11 | 7 | 1 | 8 | 4 | 1 | 5 | 2 | 1 | 3 | 3 | 0 | 3 | 1 | 2 | 3 | 3 | 0 | 3 | |
| KOTA JAYAPURA | YOKA | 1 | 1 | 2 | 1 | 0 | 1 | 7 | 4 | 11 | 3 | 1 | 4 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | |
| KOTA JAYAPURA | HAMADI | 2 | 2 | 4 | 0 | 1 | 1 | 5 | 3 | 8 | 6 | 0 | 6 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 0 | 3 | 3 | 1 | 4 | 5 | 0 | 5 | |
| KOTA JAYAPURA | ELLY UYO | 1 | 2 | 3 | 1 | 0 | 1 | 4 | 3 | 7 | 3 | 1 | 4 | 2 | 0 | 2 | 1 | 0 | 1 | 3 | 0 | 3 | 1 | 0 | 1 | 3 | 1 | 4 | |
| KOTA JAYAPURA | KOTARAJA | 1 | 5 | 6 | 0 | 1 | 1 | 11 | 2 | 13 | 7 | 1 | 8 | 2 | 1 | 3 | 1 | 1 | 2 | 4 | 0 | 4 | 1 | 1 | 2 | 2 | 1 | 3 | |
| KOTA JAYAPURA | TANJUNG RIA | 2 | 0 | 2 | 1 | 0 | 1 | 8 | 3 | 11 | 6 | 0 | 6 | 2 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 4 | 0 | 4 | 3 | 0 | 3 | |
| KOTA JAYAPURA | IMBI | 1 | 0 | 1 | 0 | 1 | 1 | 7 | 4 | 11 | 4 | 1 | 5 | 2 | 1 | 3 | 1 | 0 | 1 | 3 | 0 | 3 | 1 | 0 | 1 | 3 | 0 | 3 | |
| KOTA JAYAPURA | JAYAPURA UTARA | 2 | 7 | 9 | 1 | 0 | 1 | 10 | 4 | 14 | 10 | 1 | 11 | 2 | 1 | 3 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 1 | 2 | 5 | 0 | 5 | |
| JAYAPURA | PAGAI | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 8 | 1 | 1 | 2 | 3 | 0 | 3 | 1 | 0 | 1 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 1 | |
| JAYAPURA | WAIBHU | 3 | 1 | 4 | 1 | 0 | 1 | 23 | 1 | 24 | 17 | 1 | 18 | 4 | 1 | 5 | 6 | 0 | 6 | 4 | 0 | 4 | 6 | 0 | 6 | 7 | 1 | 8 | |
| JAYAPURA | KHOMBA WALIYAUW | 4 | 0 | 4 | 0 | 0 | 0 | 11 | 3 | 14 | 14 | 1 | 15 | 6 | 2 | 8 | 3 | 1 | 4 | 4 | 0 | 4 | 5 | 1 | 6 | 4 | 0 | 4 | |
| JAYAPURA | LEREH | 0 | 2 | 2 | 0 | 0 | 0 | 15 | 0 | 15 | 8 | 1 | 9 | 5 | 1 | 6 | 0 | 1 | 1 | 1 | 1 | 2 | 2 | 0 | 2 | 2 | 1 | 3 | |
| JAYAPURA | AIRU | 0 | 1 | 1 | 0 | 0 | 0 | 11 | 2 | 13 | 3 | 0 | 3 | 2 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 3 | 0 | 3 | 2 | 0 | 2 | |
| JAYAPURA | YAPSI | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 4 | 16 | 14 | 1 | 15 | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 1 | 1 | 2 | |
| JAYAPURA | KEMTUK | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 0 | 22 | 12 | 0 | 12 | 2 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | 2 | 3 | 0 | 3 | 2 | 0 | 2 | |
| JAYAPURA | SAWOY | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 8 | 6 | 3 | 9 | 4 | 0 | 4 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 0 | 2 | 3 | 1 | 4 | |
| JAYAPURA | SADUYAP | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 8 | 4 | 2 | 6 | 3 | 0 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 2 | |
| JAYAPURA | GENYEM | 3 | 0 | 3 | 1 | 0 | 1 | 15 | 10 | 25 | 13 | 5 | 18 | 2 | 0 | 2 | 2 | 1 | 3 | 2 | 0 | 2 | 4 | 0 | 4 | 2 | 1 | 3 | |
| JAYAPURA | NAMBLONG | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 2 | 19 | 8 | 0 | 8 | 5 | 0 | 5 | 2 | 0 | 2 | 1 | 1 | 2 | 4 | 0 | 4 | 3 | 0 | 3 | |
| JAYAPURA | NIMBOKRANG | 2 | 0 | 2 | 0 | 0 | 0 | 13 | 2 | 15 | 8 | 0 | 8 | 2 | 0 | 2 | 1 | 0 | 1 | 2 | 0 | 2 | 4 | 0 | 4 | 2 | 0 | 2 | |
| JAYAPURA | UNURUM GUAY | 2 | 0 | 2 | 0 | 0 | 0 | 9 | 1 | 10 | 7 | 0 | 7 | 2 | 0 | 2 | 2 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | |
| JAYAPURA | DEMTA | 3 | 0 | 3 | 0 | 0 | 0 | 14 | 3 | 17 | 3 | 1 | 4 | 4 | 1 | 5 | 1 | 1 | 2 | 2 | 0 | 2 | 2 | 0 | 2 | 1 | 0 | 1 | |
| JAYAPURA | YOKARI | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 1 | 12 | 6 | 1 | 7 | 3 | 1 | 4 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 2 | 1 | 3 | |
| JAYAPURA | DEPAPRE | Pedesaan Non Rawat Inap | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 0 | 9 | 4 | 1 | 5 | 2 | 0 | 2 | 2 | 0 | 2 | 3 | 0 | 3 | 4 | 0 | 4 | 2 | 0 | 2 |
| JAYAPURA | REVENIRARA | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 6 | 2 | 3 | 5 | 4 | 0 | 4 | 2 | 0 | 2 | 1 | 0 | 1 | 2 | 0 | 2 | 1 | 0 | 1 | |
| JAYAPURA | DOSAY | 1 | 1 | 2 | 0 | 2 | 2 | 14 | 3 | 17 | 11 | 3 | 14 | 4 | 3 | 7 | 1 | 0 | 1 | 5 | 1 | 6 | 6 | 2 | 8 | 3 | 2 | 5 | |
| JAYAPURA | KANDA | 1 | 0 | 1 | 0 | 1 | 1 | 9 | 0 | 9 | 8 | 1 | 9 | 3 | 1 | 4 | 1 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 3 | 2 | 1 | 3 | |
| JAYAPURA | SENTANI KOTA | 5 | 2 | 7 | 1 | 1 | 2 | 28 | 0 | 28 | 34 | 0 | 34 | 6 | 1 | 7 | 3 | 1 | 4 | 7 | 0 | 7 | 5 | 0 | 5 | 7 | 0 | 7 | |
| JAYAPURA | EBUNGFAUW | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 12 | 4 | 0 | 4 | 4 | 0 | 4 | 2 | 0 | 2 | 4 | 0 | 4 | 2 | 0 | 2 | 3 | 0 | 3 | |
| JAYAPURA | HARAPAN | 3 | 0 | 3 | 1 | 0 | 1 | 23 | 2 | 25 | 15 | 0 | 15 | 7 | 0 | 7 | 3 | 0 | 3 | 4 | 0 | 4 | 4 | 0 | 4 | 4 | 0 | 4 | |
| MAMBERAMO RAYA | BURMESO | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 12 | 14 | 3 | 7 | 10 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | |
| MAMBERAMO RAYA | BATAVIA | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 8 | 1 | 4 | 5 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | |
| MAMBERAMO RAYA | POIWAI | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 7 | 9 | 2 | 3 | 5 | 0 | 2 | 2 | 0 | 1 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 2 | |
| MAMBERAMO RAYA | GESA BARU | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 7 | 3 | 1 | 4 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 2 | |
| MAMBERAMO RAYA | WAREMBORI | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| MAMBERAMO RAYA | BARAPASI | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 17 | 8 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| MAMBERAMO RAYA | BONOI | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 8 | 18 | 4 | 1 | 5 | 1 | 0 | 1 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | |
| MAMBERAMO RAYA | BAGUSA/TRIMURIS | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 15 | 25 | 6 | 5 | 11 | 2 | 3 | 5 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 4 | 4 | |
| MAMBERAMO RAYA | KASONAWEJA | 1 | 2 | 3 | 0 | 0 | 0 | 14 | 9 | 23 | 7 | 4 | 11 | 3 | 2 | 5 | 1 | 0 | 1 | 2 | 1 | 3 | 2 | 1 | 3 | 3 | 1 | 4 | |
| MAMBERAMO RAYA | KUSTRA | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 5 | 5 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | |
| MAMBERAMO RAYA | ROFFAER | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 12 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | |
| MAMBERAMO RAYA | DABRA | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 6 | 15 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | MIOBO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| KEPULAUAN YAPEN | DAWAI | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 19 | 23 | 7 | 4 | 11 | 3 | 2 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 3 | 0 | 0 | 0 | |
| KEPULAUAN YAPEN | TINDARET | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 8 | 12 | 2 | 2 | 4 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | MUMBEAI | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 13 | 23 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | WAINDU | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | 2 | 3 | 5 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 2 | 2 | |
| KEPULAUAN YAPEN | MENAWI | 1 | 1 | 2 | 0 | 0 | 0 | 21 | 14 | 35 | 5 | 1 | 6 | 2 | 1 | 3 | 2 | 0 | 2 | 2 | 0 | 2 | 1 | 2 | 3 | 3 | 0 | 3 | |
| KEPULAUAN YAPEN | RERADUMPI | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 9 | 15 | 4 | 2 | 6 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | SERUI KOTA | 3 | 0 | 3 | 1 | 0 | 1 | 27 | 14 | 41 | 26 | 2 | 28 | 7 | 1 | 8 | 3 | 0 | 3 | 4 | 1 | 5 | 4 | 1 | 5 | 2 | 2 | 4 | |
| KEPULAUAN YAPEN | WARARI | 2 | 0 | 2 | 0 | 0 | 0 | 23 | 9 | 32 | 13 | 2 | 15 | 2 | 1 | 3 | 1 | 0 | 1 | 3 | 0 | 3 | 5 | 0 | 5 | 2 | 0 | 2 | |
| KEPULAUAN YAPEN | KOSIWO | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 20 | 32 | 7 | 3 | 10 | 4 | 4 | 8 | 2 | 0 | 2 | 0 | 1 | 1 | 0 | 3 | 3 | 2 | 0 | 2 | |
| KEPULAUAN YAPEN | ANSUS | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 10 | 19 | 6 | 3 | 9 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | |
| KEPULAUAN YAPEN | WOOI | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 9 | 15 | 2 | 1 | 3 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | POOM | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 7 | 8 | 6 | 1 | 7 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | |
| KEPULAUAN YAPEN | WINDESI | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 14 | 17 | 4 | 2 | 6 | 1 | 3 | 4 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 2 | 2 | |
| KEPULAUAN YAPEN | YAWAKUKAT | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 13 | 23 | 7 | 1 | 8 | 1 | 1 | 2 | 1 | 1 | 2 | 2 | 1 | 3 | 2 | 0 | 2 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | YOBI | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 10 | 12 | 2 | 2 | 4 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| KEPULAUAN YAPEN | MIOSNUM | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 5 | 7 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| WAROPEN | WONTI | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| WAROPEN | WAREN | 1 | 2 | 3 | 0 | 1 | 1 | 31 | 14 | 45 | 10 | 7 | 17 | 2 | 0 | 2 | 2 | 0 | 2 | 2 | 0 | 2 | 3 | 0 | 3 | 3 | 0 | 3 | |
| WAROPEN | INGGERUS | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 4 | 1 | 3 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 2 | 0 | 1 | 1 | |
| WAROPEN | URFAS | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 11 | 39 | 5 | 4 | 9 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 1 | 4 | 0 | 1 | 1 | 2 | 2 | 4 | |
| WAROPEN | KHEMON JAYA | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 4 | 22 | 2 | 5 | 7 | 3 | 0 | 3 | 1 | 0 | 1 | 2 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 2 | |
| WAROPEN | OUDATE | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 15 | 1 | 3 | 4 | 2 | 0 | 2 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | |
| WAROPEN | DOKIS | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| WAROPEN | KOWEDA | 0 | 0 | 0 | 0 | 1 | 1 | 11 | 1 | 12 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 2 | 0 | 2 | |
| WAROPEN | FAFADO | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 18 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | |
| WAROPEN | DEMBA | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 3 | 10 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| WAROPEN | KIRIHI | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | |
| BIAK NUMFOR | KAMERI | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 5 | 6 | 6 | 3 | 9 | 1 | 1 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | SARIBI | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 12 | 14 | 9 | 1 | 10 | 0 | 1 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | YEMBURWO | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 10 | 6 | 3 | 9 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 1 | |
| BIAK NUMFOR | MANDORI | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 11 | 16 | 5 | 5 | 10 | 2 | 1 | 3 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 1 | |
| BIAK NUMFOR | POIRU | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 11 | 4 | 9 | 13 | 0 | 2 | 2 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | PASI | 0 | 1 | 1 | 0 | 1 | 1 | 5 | 7 | 12 | 12 | 6 | 18 | 3 | 0 | 3 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 1 | 1 | 1 | 0 | 1 | |
| BIAK NUMFOR | WUNDI | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | 8 | 3 | 11 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| BIAK NUMFOR | BOSNIK | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 10 | 23 | 15 | 13 | 28 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 2 | 2 | 1 | 0 | 1 | 1 | 2 | 3 | |
| BIAK NUMFOR | MARAUW | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | 17 | 9 | 3 | 12 | 1 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | BIAK KOTA | 2 | 3 | 5 | 1 | 0 | 1 | 12 | 9 | 21 | 11 | 7 | 18 | 2 | 3 | 5 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 3 | 4 | 5 | 1 | 6 | |
| BIAK NUMFOR | PARAY | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 6 | 15 | 9 | 4 | 13 | 2 | 4 | 6 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 3 | |
| BIAK NUMFOR | RIDGE | 2 | 2 | 4 | 1 | 0 | 1 | 18 | 7 | 25 | 11 | 6 | 17 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | |
| BIAK NUMFOR | SUMBERKER | 2 | 0 | 2 | 0 | 1 | 1 | 7 | 7 | 14 | 12 | 4 | 16 | 2 | 2 | 4 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 2 | 3 | |
| BIAK NUMFOR | YENDIDORI | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 16 | 23 | 15 | 9 | 24 | 3 | 2 | 5 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 2 | 2 | 2 | 4 | |
| BIAK NUMFOR | KOREM | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 14 | 19 | 5 | 10 | 15 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 3 | 4 | 1 | 1 | 2 | 1 | 0 | 1 | |
| BIAK NUMFOR | ANDEY | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 10 | 13 | 8 | 6 | 14 | 2 | 0 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | WARSA | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | 13 | 10 | 10 | 20 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | YAWOSI | 1 | 1 | 2 | 0 | 0 | 0 | 11 | 8 | 19 | 3 | 6 | 9 | 0 | 3 | 3 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | |
| BIAK NUMFOR | BONDIFUAR | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | 13 | 4 | 3 | 7 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | |
| BIAK NUMFOR | YOMDORI | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 16 | 24 | 10 | 3 | 13 | 4 | 2 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| BIAK NUMFOR | AMPOMBUKOR | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 16 | 24 | 6 | 9 | 15 | 2 | 3 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| KEEROM | YAFFI | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | 11 | 0 | 4 | 4 | 1 | 1 | 2 | 0 | 2 | 2 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 2 | 2 | |
| KEEROM | UBRUB | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 1 | 8 | 5 | 1 | 6 | 3 | 0 | 3 | 3 | 1 | 4 | 3 | 0 | 3 | 2 | 0 | 2 | 3 | 0 | 3 | |
| KEEROM | TOWE HITAM | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | 7 | 2 | 2 | 4 | 1 | 1 | 2 | 2 | 0 | 2 | 2 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 1 | |
| KEEROM | MILKI | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 12 | 3 | 5 | 8 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | |
| KEEROM | SENGGI | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 4 | 10 | 4 | 1 | 5 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 1 | 2 | |
| KEEROM | WARIS | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 9 | 7 | 1 | 8 | 3 | 0 | 3 | 2 | 1 | 3 | 2 | 0 | 2 | 1 | 0 | 1 | 2 | 0 | 2 | |
| KEEROM | ARSO KOTA | 1 | 2 | 3 | 0 | 0 | 0 | 19 | 4 | 23 | 11 | 1 | 12 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 2 | |
| KEEROM | ARSO BARAT | 2 | 1 | 3 | 1 | 0 | 1 | 15 | 2 | 17 | 9 | 6 | 15 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 2 | 4 | 6 | 0 | 6 | |
| KEEROM | PITEWI | 0 | 2 | 2 | 0 | 0 | 0 | 11 | 1 | 12 | 12 | 2 | 14 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | |
| KEEROM | YWAN | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 4 | 13 | 7 | 2 | 9 | 0 | 2 | 2 | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 4 | 0 | 4 | |
| KEEROM | ARSO III | 1 | 1 | 2 | 1 | 0 | 1 | 26 | 13 | 39 | 19 | 3 | 22 | 2 | 2 | 4 | 2 | 0 | 2 | 2 | 1 | 3 | 3 | 1 | 4 | 6 | 1 | 7 | |
| SUPIORI | KORIDO | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 7 | 16 | 9 | 3 | 12 | 4 | 2 | 6 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| SUPIORI | SOWEK | 0 | 1 | 1 | 0 | 0 | 0 | 19 | 9 | 28 | 8 | 2 | 10 | 5 | 0 | 5 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 1 | 1 | 1 | 0 | 1 | |
| SUPIORI | YENGGARBUN | 1 | 0 | 1 | 1 | 0 | 1 | 12 | 2 | 14 | 10 | 0 | 10 | 3 | 0 | 3 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | |
| SUPIORI | SABAR MIOKRE | 0 | 1 | 1 | 0 | 0 | 0 | 17 | 4 | 21 | 5 | 6 | 11 | 2 | 1 | 3 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | |
| SUPIORI | SORENDIWERI | 0 | 3 | 3 | 1 | 0 | 1 | 26 | 12 | 38 | 12 | 6 | 18 | 4 | 1 | 5 | 1 | 1 | 2 | 2 | 1 | 3 | 2 | 0 | 2 | 0 | 2 | 2 | |
Keterangan
Sudah Terisi | KosongStandar Ketenagaan Minimal
Berdasarkan Peraturan Pemerintah 28 Tahun 2024, Standar Ketenagaan Minimal (SKM) merupakan salah satu metode penyusunan perencanaan tenaga medis dan tenaga kesehatan melalui pendekatan Institusi. SKM digunakan untuk menghitung kebutuhan tenaga medis dan tenaga kesehatan sesuai dengan standar ketenagaan (jenis dan jumlah) pada Fasilitas Pelayanan Kesehatan yang baru atau akan didirikan.
Perhitungan Kekurangan Tenaga Prioritas Berdasarkan SKM
Perhitungan kekurangan tenaga medis dan tenaga kesehatan berdasarkan SKM di Fasilitas Kesehatan yaitu dengan membandingkan tenaga eksisting (bezetting) yang aktif bekerja di fasilitas kesehatan dan terdata di SISDMK dengan standar masing-masing fasilitas kesehatan.
Perhitungan Kekurangan Tenaga Berdasarkan SKM
(Kekurangan = standar - eksisting (bezetting))
Standar Ketenagaan Minimal Puskesmas
SKM di Puskesmas merupakan kondisi jenis dan jumlah eksisting (bezetting) 9 jenis tenaga medis & tenaga kesehatan di Puskesmas berdasarkan karakteristik wilayah kerja dan kemampuan layanan yang disandingkan dengan SKM mengacu pada Peraturan Menteri Kesehatan 43 Tahun 2019 tentang Puskesmas
9 Jenis Tenaga Medis dan Tenaga Kesehatan Prioritas di Puskesmas yaitu Dokter, Dokter Gigi, Perawat, Bidan, Promosi Kesehatan, Sanitasi Lingkungan, Gizi, Farmasi, dan ATLM.
Kriteria Data Puskesmas
Kriteria Data merupakan filterisasi karakteristik data yang disajikan dan dapat digunakan untuk pemanfaatan tertentu. Kriteria data terdiri dari:
1. Capaian Output RPJMN, merupakan penyajian data dengan menggunakan data eksisting (bezetting) tenaga medis dan tenaga kesehatan bersumber dari SISDMK tiap awal bulan dan data daftar Puskesmas berdasarkan IKK Direktorat Jenderal Tenaga Kesehatan (Total Puskesmas = 10.195)
2. Teregistrasi, merupakan penyajian data dengan menggunakan data eksisting (bezetting) tenaga medis dan tenaga kesehatan bersumber dari SISDMK tiap awal bulan dan data daftar Puskesmas berdasarkan Keputusan Menteri Kesehatan tentang Puskesmas Teregistrasi yang diterbitkan setiap satu semester
3. Terdata SISDMK, merupakan penyajian data dengan menggunakan data eksisting (bezetting) tenaga medis dan tenaga kesehatan bersumber dari SISDMK tiap awal bulan dan data daftar Puskesmas yang terdata pada SISDMK
Perbandingan Standar Minimal dengan Jenis Kepegawaian
Perbandingan Standar Minimal dengan Status Kepegawaian merupakan filterisasi status kepegawaian yang dapat digunakan untuk pemanfaatan tertentu. Status kepegawaian dimaksud adalah Aparatur Sipil Negara (ASN) dan Non ASN. Sehingga dalam hal filterisasi data tersebut dapat membandingkan eksisting (bezetting):
1. Pegawai ASN (PNS dan PPPK); atau
2. SELURUH status pegawai (ASN dan Non ASN).
Persentase Kelengkapan Tenaga Prioritas Berdasarkan SKM di Indonesia
Persentase kelengkapan tenaga prioritas berdasarkan SKM merupakan Puskesmas yang SUDAH MEMILIKI tenaga prioritas >= SKM. Puskesmas dianggap LENGKAP apabila memiliki minimal 1 untuk 9 jenis tenaga medis dan tenaga kesehatan prioritas di Puskesmas.
Perhitungan Persentase Kelengkapan Puskesmas dilakukan pada masing-masing Provinsi dan Kabupaten/Kota
(Kelengkapan = Jumlah Puskesmas Lengkap Tenaga Prioritas/Total Puskesmas * 100%)
Note:
Kelengkapan = persentase kelengkapan (%)
Jumlah Puskesmas Lengkap Tenaga Prioritas = Jumlah Puskesmas Lengkap Tenaga Prioritas dalam Provinsi/Kabupaten/Kota
Total Puskesmas = Total Puskesmas dalam Provinsi/Kabupaten/Kota
Persentase Tidak Lengkap Tenaga Prioritas Berdasarkan SKM di Indonesia
Persentase Belum Lengkap tenaga prioritas berdasarkan SKM merupakan Puskesmas yang MEMILIKI tenaga prioritas < SKM. Fasilitas Kesehatan dianggap BELUM LENGKAP apabila tidak memiliki tenaga untuk 9 jenis tenaga medis dan tenaga kesehatan prioritas di Puskesmas.
Perhitungan Persentase Puskesmas Tidak Lengkap dilakukan pada masing-masing Provinsi dan Kabupaten/Kota
(Tidak Lengkap = Jumlah Puskesmas Tidak Lengkap Tenaga Prioritas/Total Puskesmas * 100%)
Note:
Tidak Lengkap = persentase tidak lengkap (%)
Jumlah Puskesmas tidak lengkap Tenaga Prioritas = Jumlah Puskesmas Tidak Lengkap Tenaga Prioritas dalam Provinsi/Kabupaten/Kota
Total Puskesmas = Total Puskesmas dalam Provinsi/Kabupaten/Kota
Gradasi Pewarnaan Peta
Gradasi warna yang menunjukkan perbedaan nilai berdasarkan kelengkapan tenaga prioritas di Puskesmas dengan menggunakan pewarnaan yang berbeda.
a. Merah = Pemerintah Daerah Provinsi/Kabupaten/Kota yang memiliki persentase kelengkapan tenaga prioritas di Puskesmas sebesar 0 - 25%
b. Orange = Pemerintah Daerah Provinsi/Kabupaten/Kota yang memiliki persentase kelengkapan tenaga prioritas di Puskesmas sebesar 26 - 50%
c. Hijau Muda = Pemerintah Daerah Provinsi/Kabupaten/Kota yang memiliki persentase kelengkapan tenaga prioritas di Puskesmas sebesar 51 - 75%
d. Hijau Tua = Pemerintah Daerah Provinsi/Kabupaten/Kota yang memiliki persentase kelengkapan tenaga prioritas di Puskesmas sebesar 76 - 100%
Sumber Data
Terdapat beberapa sumber data yang digunakan yaitu:
A. Sistem Informasi Sumber Daya Manusia Kesehatan (SISDMK)
1. Data daftar Puskesmas
2. data eksisting (bezetting) tenaga medis dan tenaga kesehatan.
B. Keputusan Menteri Kesehatan Nomor HK.01.07/Menkes/507/2024
Data daftar Puskesmas Teregistrasi Semester II Tahun 2023
C. Peraturan Menteri Kesehatan 43 Tahun 2019
Jumlah Standar Ketenagaan Minimal di Puskesmas
Cut Off Data
Cut off penyajian data fasilitas pelayanan kesehatan dan data eksisting (bezetting) tenaga medis dan tenaga kesehatan adalah per tanggal 1 setiap bulan.