Content-Location: http://www.policy.hu/suharto/modul_a/makindo_17.htm
Subject: =?utf-8?Q?analisis=20kebijakan=20sosial?=
MIME-Version: 1.0
------------Y6jfFPeLhqXoytOFCPSqaP
Content-Disposition: inline; filename=makindo_17.htm
Content-Type: text/html; charset=windows-1252; name=makindo_17.htm
Content-Id:
Content-Location: http://www.policy.hu/suharto/modul_a/makindo_17.htm
Content-Transfer-Encoding: 8bit
MATERI LATIHAN:
A. WAKTU: 10 JAM
B. TUJUAN
1. Umum
Setelah
2. Khusus
Setelah
a. Menyebutkan dan b. Menyebutkan dan c. Menyebutkan dan d. Menyebutkan dan e. Merumuskan
C. PROSES BELAJAR
1. Fasilitator 2. Fasilitator 3. Fasilitator 4. Fasilitator 5. Fasilitator 6. Fasilitator
D. METODE BELAJAR
1. Ceramah 2. Tanya Jawab 3. Diskusi Kelompok
E. FASILITAS DAN
1. OHP 2. Papan Tulis 3. Plipchart 4. Lembar Materi (Makalah)
F. MATERI LATIHAN
1. Pengertian
Keberhasilan
a. Pengertian
Istilah ‘kebijakan’
Menurut Ealau dan
Seperti halnya kata
· Kata sosial · Kata sosial · Kata sosial · Kata sosial · Kata sosial
Dalam kaitannya
Dalam arti sempit,
Dengan demikian,
Beberapa ahli
· Kebijakan · Kebijakan · Kebijakan · Kebijakan
b. Pengertian
Analisis kebijakan
Namun demikian, baik
Dengan demikian,
1. Penelitian dan 2. Orientasi nilai 3. Pertimbangan
Ketiga alternatif
1. Pernyataan 2. Pernyataan 3. Berbagai
Secara sederhana,
2. Proses
Proses perumusan
a. Tahap
(1) Identifikasi
(2) Analisis
(3)
(4) Perumusan
(5) Pemilihan
(6) Penentuan
(7) Membangun
b. Tahap
(8) Perumusan
(9) Perancangan
c. Tahap Evaluasi
10. Evaluasi dan
3. Mekanisme dan
Untuk lebih memahami
Setiap negara
a. Mekanisme
(1) Departemen
(2) Badan
(3) Badan
(4) Pemerintah
(5) Lembaga Swadaya
b. Isu-Isu
Kebijakan sosial
(1). Peran negara
(2) Perangkat
(3) Koordinasi
(4) Sumber Daya
(5) Pentingnya
(6) Penentuan
(7) Penentuan
(8) Distribusi
(9) Penetapan
(10) Pembiayaan
4. Model-Model
Menurut Dunn (1991),
Menurut Quade (1982) Analisis kebijakan
a. Fakta-fakta; b. Nilai-nilai; dan c. Tindakan-tindakan
Berdasarkan hal
a. Pendekatan b. Pendekatan c. Pendekatan
Tabel 2 menunjukkan
Dalam kaitannya
a. Monitoring yang b. Peramalan yang c. Evaluasi yang d. Rekomendasi
5. Merumuskan
Perumusan masalah Masalah-masalah
a. Masalah b. Klaim c. Justifikasi d. Pendukung. e. f. Prasyarat.
Perumusan masalah
a. Perumusan b. Produk analisis c. Produk analisis d. Proses analisis e. Proses analisis
Teknik-teknik dalam
a. Analisis (1) Relevansi (2) Ketuntasan. (3) Keterpilahan. (4) Konsistensi. (5) Pembedaan b. Analisis (1) Sebab yang (2) Sebab yang masuk (3) Sebab yang dapat c. Synectic. (1) Analogi personil. (2) Analogi langsung. (3) Analogi simbolik. (4) Analogi fantasi. d. Branstorming e. Analisis Asumsi. (1) Identifikasi (2) Pemunculan (3) Pembenturan atau (4) Pengelompokan (5) Sintesa asumsi
G. EVALUASI
1. Kemampuan 2. Kemampuan 3. Kemampuan 4. Kemampuan
|
------------Y6jfFPeLhqXoytOFCPSqaP
Content-Disposition: inline; filename=image002.jpg
Content-Type: image/jpeg; name=image002.jpg
Content-Location: http://www.policy.hu/suharto/modul_a/makindo_17_files/image002.jpg
Content-Transfer-Encoding: Base64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------------Y6jfFPeLhqXoytOFCPSqaP
Content-Disposition: inline; filename=image004.jpg
Content-Type: image/jpeg; name=image004.jpg
Content-Location: http://www.policy.hu/suharto/modul_a/makindo_17_files/image004.jpg
Content-Transfer-Encoding: Base64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------------Y6jfFPeLhqXoytOFCPSqaP--