Journal
PENGARUH KONDISI SOSIAL EKONOMI TERHADAP TINGKAT PENDIDIKAN ANAK PADA KELUARGA BURUH BATIK, PETANI, DAN NELAYAN DI KECAMATAN WIRADESA KABUPATEN PEKALONGAN
Edu Geography · Vol. 1 No. 1 (2012)
- ISSN
- 2549-0346, 2252-6684
- Published
- 2012-06-30
- Publisher
- Jurusan Geografi, Fakultas Ilmu Sosial, Universitas Negeri Semarang
- Language
- eng
Abstract
Penelitian ini bertujuan untuk mengetahui kondisi sosial ekonomi, mengetahui tingkat pendidikan anak, dan mengetahui pengaruh kondisi sosial ekonomi masyarakat buruh batik, petani, dan nelayan terhadap tingkat pendidikan anak di Kecamatan Wiradesa Kabupaten Pekalongan. Populasi dalam penelitian ini adalah keluarga buruh batik, petani, dan nelayan di daerah penelitian yang jumlahnya ada 14.336 orang. Teknik sampling yang digunakan adalah Area Probability Sampling, Proportional Sampling, dan Random Sampling sebanyak 115 responden yang terdiri dari 60 responden buruh batik di Desa Wiradesa, 20 responden petani di Desa Bondansari, dan 35 responden nelayan di Desa Bener. Teknik pengumpulan data menggunakan dokumentasi, observasi, dan angket. Teknik analisis data menggunakan analisis deskriptif persentatif dan analisis regresi. Berdasarkan hasil penelitian diketahui bahwa besarnya nilai R square paling tinggi yaitu pada keluarga petani sebesar 93,7%, kemudian keluarga buruh batik sebesar 62,8%, dan yang paling rendah pada keluarga nelayan sebesar 55,5%.This study aims to understand the socio-economic conditions, knowing the level education of the child, and determine the effect of socio-economic conditions of the community batik workers, farmers, and fishermen on the level of education of children in the District Wiradesa Pekalongan. The population in this study is a family of batik workers, farmers and fishermen in the study area there are 14,336 people in number. The sampling technique used is the Area Probability Sampling, Proportional Sampling and Random Sampling as many as 115 respondents consisting of 60 respondents in the village Wiradesa batik laborers, 20 farmers in the village Bondansari respondents, and 35 respondents Bener fishing village. Data collection techniques using documentation, observation, and questionnaires. Data analysis techniques using descriptive analysis and regression analysis persentatif. Based on the survey results revealed that the value of R square highest ie 93.7% of farm families, and families batik workers at 62.8%, and the lowest at 55.5% for family fishing.
Collaboration network of the authors
40 authors · 163 co-authorship links · 2 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- State University of Semarang
- Sebelas Maret University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Puji Hardati | Affiliation unknown | 7 |
| Sriyono Sriyono | Affiliation unknown | 7 |
| Andi Irwan Benardi | Affiliation unknown | 6 |
| Heri Tjahjono | Affiliation unknown | 6 |
| Hariyanto Hariyanto | Affiliation unknown | 5 |
| Sriyanto Sriyanto | Affiliation unknown | 5 |
| Ananto Aji | Affiliation unknown | 5 |
| Juhadi Juhadi | Affiliation unknown | 4 |
| Wahyu Setyaningsih | Affiliation unknown | 4 |
| Sriyanto | Affiliation unknown | 3 |
| Vina Nurul Husna | Affiliation unknown | 3 |
| Moch. Arifien | Affiliation unknown | 3 |
| Apik Budi Santoso | Affiliation unknown | 3 |
| Tukidi Tukidi | Affiliation unknown | 2 |
| Eva Banowati | Affiliation unknown | 2 |
| Retno Salaras Mahati | Affiliation unknown | 2 |
| Aprillia Findayani | Affiliation unknown | 2 |
| Dewi Liesnoor Setyowati | State University of Semarang | 2 |
| Hairumini Hairumini | Affiliation unknown | 2 |
| Sutardji Sutardji | Affiliation unknown | 2 |
| Ariyani Indrayati | Affiliation unknown | 2 |
| Viera Wardhani | University of Brawijaya | 1 |
| Siswanto Siswanto | Sebelas Maret University | 1 |
| Muh. Sholeh | Affiliation unknown | 1 |
| Deby Luriawati Naryatmojo | Affiliation unknown | 1 |
| Andri Sumihar Simbolon | Affiliation unknown | 1 |
| Nur Fauziyah | Affiliation unknown | 1 |
| Erin Dian Winarni | Affiliation unknown | 1 |
| Andina Ahya Prameswari | Affiliation unknown | 1 |
| Novia Retno Ningsih | Affiliation unknown | 1 |
| Hartini Hartini | Affiliation unknown | 1 |
| Anisa Ristiyani | Affiliation unknown | 1 |
| Ratna Dwi Setyowati | Affiliation unknown | 1 |
| Dina Widya Erista | Affiliation unknown | 1 |
| Suroso Suroso | Affiliation unknown | 1 |
| Edi Pranoto | Affiliation unknown | 1 |
| Kukuh Indarto | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.