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Minimal Neural Network Untuk Pengenalan Bendera Negara Ahmad Sabri; Feni Andriani
Prosiding Seminar SeNTIK Vol. 2 No. 1 (2018): Prosiding SeNTIK 2018
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

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Abstract

Penelitian ini menerapkan TensorFlow pada minimal neural network untuk mengenali citra bendera negara berdasarkan negara asalnya.. Dataset dihimpun dari internet berupa citra yang didominasi bendera sebagai latar depannya, dan berbagai latar seperti langit biru/berawan, latar pepohonan, menghadap kiri atau kanan, berkibar ataupun kuncup. Citra bendera yang mendominasi diperlukan untuk meniadakan prosedur lokalisasi. Sebagai contoh penerapaan, dataset dibatasi pada bendera negara-negara ASEAN. Untuk pengembangannya, cakupan dapat diperluas untuk seluruh negara di dunia. Hasil yang diperoleh memiliki ketepatan 74% terhadap testing image yang digunakan
Peran Relawan Pajak untuk Negeri (Renjani) Ditinjau Melalui Komunikasi Strategis dan Divusi Inovasi Yeni Nuraeni; Beny Susanti; Feni Andriani; Dewi Putrie Lestari; Nola Marina
Jurnal Sosial Humaniora dan Pendidikan Vol. 4 No. 1 (2025): April : Jurnal Sosial Humaniora dan Pendidikan
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jushpen.v4i1.2053

Abstract

This study aims to determine the role of Tax Volunteers for the Country in the implementation of the Renjani program reviewed through Strategic Communication and diffusion of innovation. Used Qualitative methodology with a constructivist paradigm. The results of the study indicate that the role of Tax Volunteers for the Country (Renjani) is something valuable for individuals who care about national development through tax contributions.  Members will be part of community involvement efforts through various activities, such as assistance in reporting Annual Tax Returns, tax public relations activities, and other related activities. Reviewed through Strategic Communication, it can be clearly seen through the elements of Purposeful Communication, Audience-centered, Message Consistency, Organizational Alignment, and Long-term Orientation. Reviewed through  diffusion of innovation, it can be seen through the elements of Innovation, Communication channels, and Social systems.
PELUANG DAN TANTANGAN IMPLEMENTASI CORE TAX ADMINISTRATION SYSTEM (CTAS) DALAM MENDORONG TRANSFORMASI LAYANAN PAJAK DI INDONESIA Rahma Wati; Almanuri Ashofi; Feni Andriani
Equilibrium Journal of Economic and Development Studies Vol 3 No 1 (2025): EQUILIBRIUM: Journal of Economics and Development Studies
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/Equilibrium.3.1.236-248

Abstract

The Core Tax Administration System (CTAS), launched in January 2024, marks a major step in Indonesia’s digital tax reform. This study examines its opportunities and challenges in transforming tax services. Using a qualitative approach through literature review and content analysis of secondary data, particularly media reports and public documents, the research finds that CTAS has strong potential to improve efficiency, transparency, and integration of tax administration. However, implementation has been hindered by technical disruptions, uneven infrastructure, limited human resource readiness, and low digital literacy among taxpayers. The accelerated rollout without extensive pilot testing also led to operational issues and declining user trust. To address these obstacles, the study highlights the need for continuous system evaluation, capacity building for tax officials, and comprehensive taxpayer education. Ensuring inclusiveness and reliability will be crucial for CTAS to function not only as a technological innovation but also as a foundation for sustainable tax service transformation.