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All Journal Jurnal Widya Jurnal Jamsostek
Fastabiqul Khairat
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences Other

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Implementation of Direct Cash Assistance Funds for Excise Products on Tobacco Products (BLT DBHCHT) Fastabiqul Khairat
Jurnal Jamsostek Vol. 1 No. 2 (2023): Desember
Publisher : BPJS Ketenagakerjaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61626/jamsostek.v1i2.64

Abstract

This study focuses on how the government allocates revenue-sharing funds from tobacco excise to workers in cigarette factories in the form of direct cash assistance. The very large processing of tobacco products should encourage equitable distribution of welfare. The government pays attention to this by making regulations regarding the use of revenue-sharing funds for tobacco products, known as DBHCHT, in the form of direct cash assistance (BLT). BLT DBHCHT is a form of social protection, which is theoretically understood as part of a social policy designed to pay special attention to vulnerable groups by ensuring income security and access to social services for all. This research uses qualitative research methods with a case study approach. The findings in this study include that the implementation so far has gone smoothly, but actually, BLT DBHCHT is the easiest way for the government to be pragmatic, and very short-term. Communication between implementing agencies related to DBHCHT is still limited to formal communication, it has not touched on what the real needs of beneficiaries are.
PERANCANGAN DAN IMPLEMENTASI MULTI LAYER PERCEPTRON UNTUK IDENTIFIKASI TANDA TANGAN: Design and Implementatio of Multilayer Perceptron for signature identification Nandri Marsan Sitinjak; Fastabiqul Khairat; Frans Ikorasaki; May Fitriana Hasibuan; Rini Oktari Batubara
Jurnal Widya Vol. 6 No. 1 (2025): Vol 6 No 1 (2025)
Publisher : Akademi Manajemen Informatika dan Komputer Widyaloka

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Abstract

Tanda Tangan merupakan salah satu bukti pengesahan lembar dokumen yang sering digunakan. Penting nya mengenal bentuk tanda tangan seseorang diperlukan melakukan verifikasi terhadap dokumen apakah benar yang memberikan tanda tangan adalah orang yang bersangkutan atau orang lain. Pada Penelitian ini, penulis mendesain sistem identifikasi tanda tangan dengan fitur yang digunakan adalah nilai entropy yang akan diambil dari grid image (sub citra), suatu citra tanda tangan. Model Pengujian menggunakan multi layer perceptron dan cross validation dengan tiga ukuran piksel 4x4, dan dua jenis reprsentasi citar biner dan citra outline. Hasil pengujian adalah untuk hasil piksel 4x4 dan menggunakan citra outline, yaitu dengan tingkat akurasi yaitu 94%, nilai korelasi 0.95 dan nilai kappa 0.94.
Co-Authors frans ikorasaki May Fitriana Hasibuan Nandri Marsan Sitinjak Rini Oktari Batubara