Hubungan Pungutan Liar terhadap Kesejahteraan Masyarakat di Bekasi

Authors

  • Dini Iswari Amaliani Universitas Bhayangkara Jakarta Raya
  • Fandhi Abiyyu Akmal Universitas Bhayangkara Jakarta Raya
  • Laila Azizah Universitas Bhayangkara Jakarta Raya
  • Nursyaniah Siregar Universitas Bhayangkara Jakarta Raya
  • Putri Satya Permana Universitas Bhayangkara Jakarta Raya
  • Mic Finanto Ario Bangun Universitas Bhayangkara Jakarta Raya

DOI:

https://doi.org/10.55606/concept.v3i2.1277

Keywords:

Wild Levies, Community Welfare

Abstract

The main goal in improving the governance of correctional institutions is to realise a clean correctional, but there are obstacles in the process of achieving it. One of them is about the problem of illegal levies that are still raging and rampant in the Penitentiary environment, Pungli (wild levies) not only harms inmates and their families, but becomes one of the inhibiting factors in achieving a clean transformation of corrections.The purpose of this research is to describe and explain the causes and efforts to eradicate illegal levies in the Penitentiary environment in order to realise a prosperous community life. The research method used is research by reviewing literature studies. The data collection technique in this research is carried out by searching and analysing various literature sources such as journals and scientific articles searched through the official website in the form of Google Scholar.The results of the research show that the cause of illegal levy behaviour in the community is due to the inefficiency of providing services to the community and is too complicated, this can be one of the causes of opening a gap for individuals to practice illegal levies. As for the countermeasures that have been carried out by the security parties who are responsible in terms of inj, among others, are carrying out routine patrols.

References

Abdullah, M. Z., Guan, L. C., & Karim, A. A. (2001). The Application of Computer Vision System and Tomographic Radar Imaging for Asessing Phisical Properties of Food. Food Engineering 61, 125-135.

Ahmad, U. (2005). Pengolahan Citra Digital dan Teknik Pemrogramannya. Yogyakarta: Graha Ilmu.

Al Rosyid, A., Karismawan , Y., Gumilar, H. R., Chabibun, A., & Setyawan, S. A. (2019). Kajian Kriminologi atas Kasus Anak Sebagai Pelaku Tindak Pidana Pencurian (Studi di Wilayah Sukoharjo, Jawa Tengah, Indonesia). Law Research Review Quartenly Vol.5 No.2, 159-180.

Anggun, L. (2022). Perkembangan Kejahatan Tindak Pidana Pencucian Uang Dan Tindak Pidana Terorisme (TPPU Dan TPPT) Di Masa Pandemi Covid-19. Technology and Economics Law Journal Vol.1 No.1, 66-81.

Backpropagation. (s.d.). Acesso em 23 de November de 2011, disponível em http://automatika.etf.bg.ac.rs/files/predmeti/os4nm/Materijali/03_BackPropagation/MATLAB_nnet_BackPropagation.pdf

Buamona, S. (2019). "WHITE COLLAR CRIME (KEJAHATAN KERAH PUTIH) DALAM PENEGAKKAN HUKUM PIDANA". Madani Legal Review Vol.3 No.1, 28-38.

Budi, W., & Sumiyati, S. (2007). Prediksi Curah Hujan Kota Semarang Dengan Feedforward Neural Network Menggunakan Algoritma Quasi Newton BFGS Dan Levenberg-Marquardt. Jurnal Presipitasi Vol. 3 No. 2.

Chak, C.-K., Feng, G., & Palaniswani, M. (1998). Implementation of Fuzzy Systems. Em C. Leondes, Fuzzy Logic and Expert Systems Techniques and Applications. London: Academic Press.

Damai, A. S., & Muhammad, A. (2023). TRANSFORMASI MENUJU PEMASYARAKATAN BERSIH : PENYEBAB & UPAYA PEMBERANTASAN PUNGUTAN LIAT (PUNGLI) DI LINGKUNGAN LEMBAGA PEMASYARAKATAN . Jurnal Hukum dan Kearganegaraan Vol. 1 No. 4, 1-14.

Departemen Pertanian. (2004). Standar Prosedur Operasi. Jakarta: Direktorat Tanaman Buah Departemen Pertanian.

Duda, R. O., Hart, P. E., & Stork, D. G. (1997). Pattern Classification. New Jersey: Pearson Prentice Hall.

EasyRGB. (s.d.). Acesso em 7 de June de 2011, disponível em EasyRGB: http://www.easyrgb.com

Fauset, L. (1994). Fundamental of Neural Network. New Jersey: Prentice Hall Inc.

Firdausi, F., & Lestari , A. W. (2016). EKSISTENSI 'WHITE COLLAR CRIME' DI INDONESIA : KAJIAN KRIMINOLOGI MENEMUKAN UOAYA PREVENTIF. Jurnal Unitri Vol.6 No.1, 85-96.

Gonzales, R. C., & Wood, R. E. (2002). Digital Image Processing. New jersey: Prentice Hall.

Habsy, B. A. (2017). Seni Memahami Penelitian Kualitatif Dalam Bimbingan Dan Konseling : Studi Literatur. Jurnal Konseling Nadi Matappa Vol. 1 No. 2, 90-100.

Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural Features for Image Classification. IEEE Transaction on Systems, Man adn Cybernetics Vol. 3 No. 6, 610-621.

Haykin, & Simon. (1994). Neural Network : A Comprehensive Foundation. New York: Macmilan Publishing Company.

Hermanto, I. P., & Nurcahyono, A. (2022). Tinjauan Sosiologi Hukum Terhadap Residivis Tindak Pidana Pencurian Sepeda Motor di Kabupaten Banggai. Jurnal Riset Ilmu Hukum Vol.2 No.2, 89-94.

Hermawan, A. (2006). Jaringan Syaraf Tiruan : Teori dan Aplikasinya. Yogyakarta: Andi.

Irmansyah. (2009). Pemutuan belimbing berdasarkan Warna dan Rasa dengan Pengolahan Citra dan Logika Fuzzy. Bogor: Desertasi Sekolah Pasca Sarjana IPB.

Kasabow, N. (2002). Evolving Neuro Fuzzy Inference System. London: Prentice Hall.

Kastaman, R., Marsetyo, Sunarmani, & Somantri, A. S. (2008). Aplikasi Pengolah Citra dengan Basis Fitur Warna RGB untuk Klasifikasi Buah Manggis. Bionatura Vol.10 No. 3.

Kusumadewi. (2003). Artificial Inteligence : Teknik dan Aplikasinya. Yogyakarta: Graha Ilmu.

Kusumadewi, S. (2006). Fuzzy Backpropagation untuk Klasifikasi Pola (Studi kasus : klasifikasi kualitas produk). Seminar Nasional Aplikasi Teknologi Informasi (SNATI). Yogyakarta.

Kusumadewi, S., & Hartati, S. (2010). Neuro-Fuzzy Integrasi Sistem Fuzzy dan Jaringan Syaraf. Yogyakarta: Graha Ilmu.

Lin, C. T., & George, L. (1996). Neural Fuzzy System. London: Prentice Hall.

Lu, G., & Phillip, J. (1998). Using Perceptually Weighted Histograms for Colour-based Image Retrieval. International Conference on Signal Processing IV. Beijing.

Martin, W. (1980). Durian and Mangosteen, in Tropical and subtropical fruit : Composition, properties and uses. Edited by S. Nagi and P.E. Shaw. Wesport, Connecticut: AVI Publishing Inc.

Masinchi, M. H., & Shamsuddin, S. H. (2009). Three-Term Fuzzy Back-Propagation. Foundations of Computer Intelligent Vol. 1 No. 201, 143-158.

Mathworks. (s.d.). MathWorks. Acesso em 5 de June de 2011, disponível em Create gray-co-occurence matrix from image - MATLAB: http://www.mathworks.com/help/toolbox/images/ref/graycomatrix.html;jsessionid=j1rnPkpL641d2wCKHQhbg9vrXvnYyVHhL8wQGVryn1JZSYT7cbv3!1501466144

Mendoza, F., Dejmek, P., & Aquilera, J. M. (2006). Calibrated Color Measurement of Agricultural Foods using Image Analysis. Postharvest Biology and Technology 41, 285-295.

Morton, J. (1987). Mangosteen. Miami: PL.

Murquia, M. I. (2002). A Fuzzy Neural Network Approach for Document Region Classification Using Human Visual Perception Features. Computacion y Sistemas Vol. 6 No. 2, 083-093.

Novan, M. (2017). UPAYA PENANGGULANGAN KEJAHATAN PENCURIAN BARANG PENUMPANG PADA BAGASI PESAWAT DI BANDARA RADEN INTEN II. Universitas Lampung, 11-68.

Pal, S. K., & Mitra, S. (1992). Multilayer Perceptron, Fuzzy Sets and Classification. IEEE Transactions On Neural Networks Vol. 3 No.5, 683-697.

Palapol, Y., Ketsa, S., Stevenson, D., Cooney, J. M., Allan, A. C., & Ferguson, I. B. (2009). Colour Development and Quality of Mangosteen (Garcinia Mangostana L.) Fruit during Ripening and After Harvest. Postharvest Biology and Technology Vol.51, 349-353.

Pratiwi, N. T., & Adiyaryani, N. N. (2019). PEMBERANTASAN PUNGUTAN LIAR (PUNGLI) SEBAGAI BENTUK KEBIJAKAN KRIMINAL DI INDONESIA. Jurnal Ilmu Hukum Vol.8 No.10, 1-15.

Putra, D. (2010). Pengolahan Citra Digital. Yogyakarta: Penerbit Andi.

Rios, D. (s.d.). Neural networks: A requirement for intelligent systems. Acesso em 5 de September de 2011, disponível em http://www.learnartificialneuralnetworks.com/

Sandra. (2007). Pengembangan Pemutuan Buah Manggis untuk Eksport secara Non Destruktif dengan Jaringan Syaraf Tiruan. Bogor: Disertasi Sekolah Pasca Sarjana IPB.

Santosa, B. (2007). Data Mining Terapan Dengan Matlab. Yogyakarta: Graha Ilmu.

Sari, A. K., & Ritonga, N. (2023). EKSISTENSI WHITE COLLAR CRIME DI INDONESIA : KAJIAN KONSEP DAN KASUS. Jurnal Riset, Pendidikan dan Ilmu Sosial Vol.1 No.2, 93-103.

Sarkar, M., Yegnanarayana, B., & Khemani, D. (1998). Backpropagation learning algorithms for classification with fuzzy mean square error. Pattern Recognition Letters, 43-51.

Segnini, S., Dejmek, P., & Oste, R. (1999). A Low Cost Video Technique for Color Measurement of Potato Chips. Lebensm.-Wiss. U.-Technol. 32, 216-222.

Siang, J. J. (2009). Jaringan Syaraf Tiruan & Pemrogramannya Menggunakan Matlab. Yogyakarta: Andi Offset.

Siregar, A. (2021). OPTIMALISASI PERAN TIM SABER PUNGLI KOTA SAWAHLUNTO DALAM PENCEGAHAN PUNGUTAN LIAR DI SEKTOR PELAYANAN PUBLIK. UNES LAW REVIEW Vol. 4 No. 1, 114-120.

Sujatmiko, B. (15 de Februari de 2020). PENGARUH PEMBENTUKAN SATUAN TUGAS SAPU BERSIH PUNGUTAN LIAR, WHISTLE-BLOWING SYSTEM DAN OPERASI TANGKAP TANGAN TERHADAP PRAKTEK PUNGUTAN LIAR. Fonte: dspace.uii.ac.id: https://dspace.uii.ac.id/bitstream/handle/123456789/20668/05.2%20bab%202.pdf?sequence=18&isAllowed=y

Sutoyo, Mulyanto, E., Suhartono, Nurhayati, & Wijanarko. (2009). Teori Pengolahan Citra Digital. Yogyakarta: Penerbit Andi dan Udinus Semarang.

Suyanti, Roosmani, A. S., & Sjaifullah. (1999). Pengaruh Tingkat Ketuaan terhadap Mutu Pascapanen Buah Manggis Selama Penyimpanan. Hort. 9, 51-58.

Unikom. (s.d.). Analisis Tekstur. Acesso em 14 de Desember de 2011, disponível em jbptunikompp-gdl-janautama-18843-3-modul3-r.doc: http://elib.unikom.ac.id/download.php?id=42796

Walpole, R. E. (1993). Introduction to Statistics 3rd Edition. Alih bahasa oleh Sumantri, B. Jakarta: Gramedia Pustaka Utama.

Wulandari, Prasita, P., Isnani, I., & Syahputri, D. C. (2023). FRAUD TRIANGLE THEORY DAN PRANNYA TERHADAP PENDETEKSIAN DAN PENCEGAHAN KORUPSI DI SEKTOR PUBLIK PEMERINTAH INDONESIA. ABDI EQUATOR Vol.3 No.2, 91-108.

Published

2024-06-13

How to Cite

Dini Iswari Amaliani, Fandhi Abiyyu Akmal, Laila Azizah, Nursyaniah Siregar, Putri Satya Permana, & Mic Finanto Ario Bangun. (2024). Hubungan Pungutan Liar terhadap Kesejahteraan Masyarakat di Bekasi. Concept: Journal of Social Humanities and Education, 3(2), 273–285. https://doi.org/10.55606/concept.v3i2.1277