Implementasi Profile Matching Pada Penerimaan Bantuan Langsung Tunai
-
Erwin Ginting
*
Universitas Potensi Utama, Medan,
Indonesia
- Frinto Tambunan Universitas Potensi Utama, Medan, Indonesia
- Nurhayati Nurhayati Universitas Potensi Utama, Medan, Indonesia
- Muhammad Fauzi Universitas Potensi Utama, Medan, Indonesia (*) Corresponding Author
Abstract
Various problems arise when direct cash assistance from the government which is carried out in each region begins to be disbursed to people who are entitled to it. One of them is the error in selecting the target recipient of assistance, according to the regulations, residents who receive assistance must comply with applicable conditions such as Indonesian citizens, the poor, the elderly and affected by COVID-19, but there are still people who are classified as capable of being able to get the BLT due to the accumulation of data. numbered in the thousands and packaged in a manual system resulting in assistance not being channeled to the right people, with this problem the author took the initiative to create a system that was implemented with the profile matching method with criteria taken from the data on the requirements for receiving BLT from the government to provide solutions to problems by determining residents appropriate and appropriate in receiving the cash direct assistance. Data research was carried out using the prototyping concept to increase the accuracy of receiving cash transfers that were processed with a decision support system to facilitate the acceptance process so that it was more accurate and faster and did not harm related parties. This system is designed in such a way that it can be accessed by the general public and with Android devices to facilitate the admissions selection process.
Downloads
References
D. Desa, “Efektivitas Bantuan Langsung Tunai Dana Desa Bagi Masyarakat Miskin Terkena Dampak Covid-19 Di Desa Talaitad Kecamatan Suluun Tareran Kabupaten Minahasa Selatan,” J. Polit., vol. 9, no. 2, pp. 1–16, 2020.
N. D. Pramanik, “Dampak Bantuan Paket Sembako Dan Bantuan Langsung Tunai Terhadap Kelangsungan Hidup Masyarakat Padalarang Pada Masa Pandemi Covid 19,” J. Ekon. Sos. dan Hum., vol. 01, no. 12, pp. 113–120, 2020.
S. Suherman and K. Khairul, “Seleksi Pegawai Kontrak Menjadi Pegawai Tetap Dengan Metode Profile Matching,” It J. Res. Dev., vol. 2, no. 2, pp. 68–77, 2018.
I. Muzakkir, “Penerapan metode topsis untuk sistem pendukung keputusan penentuan keluarga miskin pada desa panca karsa ii,” vol. 9, pp. 274–281, 2017.
V. Y. Anis Rohmadi, “Desain dan Penerapan Website Tata Kelola Percetakan Pada CV APICDESIGN KREASINDO JAKARTA dengan Metodey Prototyping,” J. Inf. Syst. Infomatics Comput., vol. 4, no. 1, pp. 70–85, 2020.
M. T. Hidayat, F. Agustin, and F. Tambunan, “Seminar Nasional Sistem Informasi dan Teknologi Informasi 2018 SENSITEK 2018 STMIK Pontianak,” Semin. Nas. Sist. Inf. dan Teknol. Inf. 2018, vol. 12, pp. 735–739, 2018.
Nia Komalasari, “Sistem Pendukung Keputusan Kelaikan Terbang (SPK2T),” J. Ind. Elektro dan Penerbangan 4, vol. 4, no. 1, pp. 1–11, 2016.
R. Fauzan, Y. Indrasary, and N. Muthia, “Sistem Pendukung Keputusan Penerimaan Beasiswa Bidik Misi di POLIBAN dengan Metode SAW Berbasis Web,” J. Online Inform., vol. 2, no. 2, p. 79, 2018.
T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.
N. W. Al-Hafiz, Mesran, and Suginam, “Sistem Pendukung Keputusan Penentukan Kredit Pemilikan Rumah Menerapkan Multi-Objective Optimization on the Basis of Ratio Analysis ( Moora ),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, no. 1, pp. 306–309, 2017.
E. G. Wahyuni and A. T. Anggoro, “Sistem Pendukung Keputusan Penerimaan Pegawai dengan Metode TOPSIS,” Sains Teknol. dan Ind., vol. 14, no. 2, pp. 108–116, 2017.
I. J. T. Situmeang, S. Hummairoh, S. M. Harahap, and Mesran, “Application of SAW ( Simple Additive Weighting ) for the Selection of Campus Ambassadors,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, pp. 21–28, 2021.
Mesran, E. P. Sumantri, Supriyanto, S. H. Sahir, and N. K. Daulay, “Implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Recommendations for New Position in Companies,” Int. J. Inf. Syst. Technol., vol. 4, no. 2, pp. 661–669, 2021.
S. Barus, V. M. Sitorus, D. Napitupulu, M. Mesran, and S. Supiyandi, “Sistem Pendukung Keputusan Pengangkatan Guru Tetap Menerapkan Metode Weight Aggregated Sum Product Assesment ( WASPAS ),” MEDIA Inform. BUDIDARMA, vol. 2, no. 2, pp. 10–15, 2018.
F. Tambunan, “Implementation of Data Mining using the Clustering Method (Case: Region of the Actors of Theft Crime by Province),” IJISTECH (International J. Inf. Syst. Technol., vol. 2, no. 2, p. 75, 2019.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Profile Matching Pada Penerimaan Bantuan Langsung Tunai
Pages: 151-158
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
