PENANGGULANGAN KEMISKINAN DI KOTA SERANG DENGAN MENGGUNAKAN CAUSAL LOOP DIAGRAM

weni puja ningrum; Dzulkifli Dzulkifli; Aldyth Kendra Azaria; sahrupi; mohamad jihan shofa

doi:10.33506/mt.v10i2.3124

Authors

weni puja ningrum
Dzulkifli Dzulkifli Universitas Serang Raya
Aldyth Kendra Azaria Universitas Serang Raya
sahrupi
mohamad jihan shofa Universitas Serang Raya

DOI:

https://doi.org/10.33506/mt.v10i2.3124

Keywords:

causal loop diagram (CLD), dynamic system, poverty, unemployment

Abstract

Poverty is defined as a state in which individuals or groups of people are unable to exercise their basic rights to lead a dignified life. One of the cities in Indonesia is Serang City, located in the province of Banten. Currently, the poverty rate in Serang City has reached as high as 46 thousand households, with 8,799 of them falling into the category of extreme poverty. Based on the data obtained, the poverty line in 2022 is higher than the poverty line in the period 2020-2021. This poverty is due to several main factors, including low education, low income, and a lack of job opportunities. Therefore, this research aims to understand the causes and effects of poverty in Serang City and how to address it. To model the poverty alleviation efforts in Serang City, researchers use the Causal Loop Diagram (CLD) method. Causal Loop Diagram (CLD) is a visual tool used to model and analyze the cause-and-effect relationships between various factors in a system. The data processing results reveal the causes and effects of poverty in Serang City, including unemployment, low education levels, increased mortality rates, crime, limited job opportunities, and restricted healthcare services.

Author Biography

sahrupi

Poverty is defined as a state in which individuals or groups of people are unable to utilize their basic rights to lead a dignified life. One of the cities in Indonesia is Serang, which is in Banten Province. Currently, the poverty rate in Serang City reaches up to 46 thousand households, and 8,799 of them fall into the extreme poor category. Based on the data obtained, the poverty line in 2022 is higher than the poverty line in the 2020-2021 period. This poverty occurs due to several main factors including low education, low income, and lack of employment.Therefore, this study was conducted to determine the causes and effects of poverty that occurred in Serang City and how to overcome it. In order to model poverty reduction in Serang City, researchers use Causal Loop Diagram (CLD). Causal Loop Diagram (CLD) is a visual tool used to model and analyze cause-and-effect relationships between various factors in a system. In addition, literature studies and qualitative descriptive analysis were used to conduct this research at Serang City Social Office. Primary data is sourced from interviews conducted with several resource persons who are Serang City Social Service officers in the field of poverty, and secondary data is sourced from literature reviews in the form of journals related to factors that affect poverty, and data related to poverty.

References

Achmad, A., & Yanuar, A. (2020). Model Distribusi Industri Pangan di Jawa Barat dengan Menggunakan Pendekatan Causal Loop Sistem Dinamik. Competitive, 15(1), 12–19. https://doi.org/10.36618/competitive.v15i1.627

Aryani, R. P. (2022). Causal Loop Diagram Kepuasan Pelanggan terhadap Layanan Publik: Studi Kasus Direktorat Registrasi Pangan Olahan, BPOM. 2(2), 56–72. https://doi.org/10.54384/er

Aziz Abdul Gamal, Rochaida Eny, W. (2016). FAKTOR FAKTOR YANG MEMPENGARUHI KEMISKINAN DI KABUPATEN KUTAI KARTANEGARA. 12, 1. http://journal.feb.unmul.ac.id

Desi purnamasari. (2023). BPS Kota Serang Catat Penduduk Miskin di kota serang Capai 42,56 Ribu Jiwa. Tribun Banten.

Dyah, T. L., Rurry, P., & Kulsum. (2020). Pemodelan Sistem Dinamis Untuk Meningkatkan Produktivitas di CV. ABC Dynamic System Modeling to Increase Productivity at CV. ABC. Integrasi Jurnal Ilmiah Teknik Industri, 1(1), 1. http://jurnal.um-palembang.ac.id/index.php/integrasi

Fajri, N. M., Rosyida, E. E., & Efendi, I. B. (2022). UPAYA PENINGKATAN PRODUKTIVITAS PENERAPAN GREEN INDUSTRY DENGAN PERUBAHAN METODE PENGOLAHAN LIMBAH UNTUK MENJAMIN SUSTAINABILITY PRODUCTION PT.ABC. SMART CITY AND SUSTAINABLE DEVELOPMENT GOALS, 1, 1.

Itang. (2015). FAKTOR FAKTOR PENYEBAB KEMISKINAN ITANG. Jurnal Keislaman, Kemasyarakaan Dan Kebudayaan, 16.

Jacobus, E. H., Kindangen, P., & Walewangko, E. N. (2018). ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN RUMAH TANGGA DI SULAWESI UTARA. In Jurnal Pembanguan Ekonomi dan Keuangan Daerah (Vol. 19, Issue 3).

Kristianto, A. H., & Nadapdap, J. P. (2021). Dinamika Sistem Ekonomi Sirkular Berbasis Masyarakat Metode Causal Loop Diagram Kota Bengkayang. Sebatik, 25(1), 59–67. https://doi.org/10.46984/sebatik.v25i1.1279

Murtadho, M. A., Achsani, N. A., & Alexandi, M. F. (2022). PEMODELAN DETERMINAN PENERIMAAN PAJAK PENGHASILAN DARI ORANG PRIBADI PELAKU UMKM MENGGUNAKAN CAUSAL LOOP DIAGRAM MODELING. Jurnal Aplikasi Bisnis Dan Manajemen, 8(1), 225–235. https://doi.org/10.17358/jabm.8.1.225

Trenggonowati, D. L., Safi’i, I., & Umyati, A. (2020). Pemodelan Sistem Dinamis Dalam Menentukan Supplier Menggunakan Simulasi Powersim. Journal Industrial Servicess, 5(2), 1. https://doi.org/10.36055/jiss.v5i2.7994

Vikaliana, R., Evitha, Y., & Komala, L. A. (2021). Model Halal Traceability Dengan Pendekatan CLD Pada Manajemen Rantai Pasokan Makanan Menggunakan Teknologi Blockchain. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 5(2), 150–160. http://www.halalmui.org/mui14/main/page/data-statistik-produk-halal-lppom-