Journal
Marginal Propensity to Save of Workers in Textile Products Industry (TPT)
Efficient: Indonesian Journal of Development Economics · Vol. 2 No. 2 (2019) · pp. 413–423
- ISSN
- 2655-318X, 2655-6197
- Published
- 2019-06-01
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The purpose of this study was to find out the desire to save the textile industry workers in Semarang Regency and the factors that influence it. This type of research is quantitative descriptive. The population in this study was Labor at 10 TPT Industries totaling 17,757. The sample was determined by 100 respondents using the Slovin formula, and was considered representative. The sampling technique used is simple random. Methods of collecting data used questionnaires, interviews and observations. Data analysis method used multiple linear regression. The variables used in this study are age, income, consumption and education level as independent variables. While the desire to save as a dependent variable. The results showed that the income variable and education level had a positive and not significant effect, the consumption variable had a negative and significant influence, the age variable had a negative and not significant effect on saving desires. Suggestions for optimizing the increase in savings, employees should be able to increase the desire to save by consuming as needed and reduce unnecessary expenses so that the amount of savings can be increased and the benefits of saving can be felt. Tujuan dari penelitian ini adalah untuk mengetahui keinginan untuk menyelamatkan pekerja industri tekstil di Kabupaten Semarang dan faktor-faktor yang mempengaruhinya. Jenis penelitian ini adalah deskriptif kuantitatif. Populasi dalam penelitian ini adalah Tenaga Kerja di 10 Industri TPT dengan total 17.757. Sampel ditentukan oleh 100 responden menggunakan rumus Slovin, dan dianggap representatif. Teknik pengambilan sampel yang digunakan adalah acak sederhana. Metode pengumpulan data menggunakan kuesioner, wawancara dan observasi. Metode analisis data menggunakan regresi linier berganda. Variabel yang digunakan dalam penelitian ini adalah usia, pendapatan, konsumsi dan tingkat pendidikan sebagai variabel independen. Sedangkan keinginan untuk menabung sebagai variabel dependen. Hasil penelitian menunjukkan bahwa variabel pendapatan dan tingkat pendidikan berpengaruh positif dan tidak signifikan, variabel konsumsi berpengaruh negatif dan signifikan, variabel umur berpengaruh negatif dan tidak signifikan terhadap keinginan menabung. Saran untuk mengoptimalkan peningkatan tabungan, karyawan harus dapat meningkatkan keinginan untuk menabung dengan mengkonsumsi sesuai kebutuhan dan mengurangi biaya yang tidak perlu sehingga jumlah tabungan dapat ditingkatkan dan manfaat dari tabungan dapat dirasakan.
Collaboration network of the authors
33 authors · 62 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Tarumanagara 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 |
|---|---|---|
| Rusdarti Rusdarti | Affiliation unknown | 3 |
| Andryan Setyadharma | Affiliation unknown | 2 |
| Panji Irawan Yogyadipratama | Affiliation unknown | 1 |
| Awinda lutfina Ratnasari | Affiliation unknown | 1 |
| Susanti Lasmaria Purba | Affiliation unknown | 1 |
| Ayu Cahyaning Kesuma | Affiliation unknown | 1 |
| Nurjannah Rahayu Kistanti | Affiliation unknown | 1 |
| Rani Wahlian Aru Munjayanah | Affiliation unknown | 1 |
| Sarwito Asmoro Jati | Affiliation unknown | 1 |
| Chintia Ariani Putri | Affiliation unknown | 1 |
| Daffa Arkan Prameswara | Affiliation unknown | 1 |
| Diyah Ayu Wulansari | Affiliation unknown | 1 |
| Dyah Maya Nihayah | Affiliation unknown | 1 |
| Dwi Rahmayani | Affiliation unknown | 1 |
| Avi Budi Setiawan | Affiliation unknown | 1 |
| Joko Widodo | Affiliation unknown | 1 |
| Maman Rachman | Affiliation unknown | 1 |
| Lilik Lestari | Affiliation unknown | 1 |
| Kardoyo | Affiliation unknown | 1 |
| Fugiyar Suherman | Affiliation unknown | 1 |
| Etty Soesilowati | Affiliation unknown | 1 |
| Noffik Ermawati | Affiliation unknown | 1 |
| Deo Leko Pudaka | Affiliation unknown | 1 |
| Agnes Pradina Simanjuntak | Affiliation unknown | 1 |
| Hendra Purwanto | Affiliation unknown | 1 |
| Partono Thomas | Affiliation unknown | 1 |
| Oki Anggraeni | Affiliation unknown | 1 |
| Wasino Wasino | Tarumanagara University | 1 |
| Umi Darojah | Affiliation unknown | 1 |
| Ketut Sudarma | Affiliation unknown | 1 |
| Adang Syamsudin Sulaha | 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.