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Penggunaan Transformasi Digital Bisnis Untuk Para Pelaku UMKM Kuliner Rachmat Adiaz Arrofi; Rahman Ajie; Tata Sutabri
JURNAL RISET MANAJEMEN DAN EKONOMI (JRIME) Vol. 2 No. 1 (2024): JANUARI : JURNAL RISET MANAJEMEN DAN EKONOMI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jrime-itb.v2i1.1130

Abstract

Digital transformation has become a necessity in today's modern era, including for Micro, Small, and Medium Enterprises (MSMEs) in the culinary sector. With increasing internet access and technology penetration at all levels of society, the use of digital technology in business operations has now become standard. For culinary MSMEs, digital transformation does not only mean having an online presence through a website or social media but also involves digitizing business processes, marketing, financial management, and customer service. The benefits offered through this transformation include increasing efficiency, achieving wider markets, and increasing competitiveness in an increasingly competitive market. In addition, with the existence of e-commerce platforms and application-based food delivery services, culinary MSMEs have gained access to consumers who were previously difficult to reach. However, challenges such as limited digital literacy, initial investment, and adapting to business culture remain obstacles. However, with the support of training, education, and collaboration between stakeholders, the potential for utilizing digital transformation by culinary MSMEs can be optimized to encourage economic growth and innovation in this sector.
Penggunaan algoritma Backtracking untuk Penyelesaian Masalah N-Queens: Studi Perbandingan Iteratif dan Rekursif Rachmat Adiaz Arrofi; M.Erlangga Fauzi; Tata Sutabri
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 1 (2025): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/x68fky35

Abstract

The N-Queens problem is a classic problem in computer science that requires the placement of N queens on an NxN chessboard without attacking each other. One of the common algorithmic approaches used to solve this problem is the backtracking algorithm, which is a technique for finding solutions by systematically trying all possibilities and backtracking when reaching a dead end. This study compares two implementation methods of the backtracking algorithm, namely the recursive and iterative approaches, in the context of solving the N-Queens problem. The focus of this study is to analyze the performance of the two approaches based on execution time, memory efficiency, and program code complexity. Experiments were conducted on various board sizes (N=4 to N=20) using the Python programming language. The test results show that the recursive approach has a simpler and easier-to-understand code structure, but is susceptible to stack overflow at large N values. Meanwhile, the iterative approach is more complex in its implementation, but tends to be more stable and efficient in the use of computer resources. This study contributes to a comparative understanding of the two approaches, as well as being a reference in choosing the right programming strategy to solve other combinatorial problems.
NeuroPay: Sistem Pembayaran Digital Berbasis Teknologi Blockchain untuk Mendeteksi Penipuan Pada Toko Kelontong Rachmat Adiaz Arrofi; Tata Sutabri
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 2 (2025): Jurnal Sains Student Research (JSSR)
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i2.4313

Abstract

Di era transformasi digital yang semakin pesat, toko kelontong sebagai bagian dari usaha mikro dan kecil mulai mengadopsi sistem pembayaran digital untuk meningkatkan efisiensi transaksi, keamanan, serta kenyamanan bagi pelanggan. Meskipun demikian, tantangan besar masih menghantui, terutama terkait risiko penipuan dan kerentanan keamanan dalam sistem digital. Menjawab tantangan ini, NeuroPay hadir sebagai solusi inovatif dengan memanfaatkan teknologi blockchain yang memiliki karakteristik transparansi, desentralisasi, dan integritas tinggi dalam pencatatan data transaksi. Dengan memanfaatkan smart contract dan analisis pola transaksi, NeuroPay mampu secara otomatis mendeteksi aktivitas mencurigakan yang berpotensi menjadi tindakan penipuan. Penelitian ini mengadopsi pendekatan Design Thinking untuk memahami kebutuhan pengguna secara mendalam melalui proses observasi dan wawancara, serta menerapkan metode Waterfall dalam proses pengembangan sistem secara bertahap dan sistematis. Hasil dari pengujian sistem menunjukkan bahwa NeuroPay tidak hanya mampu meningkatkan keamanan dan transparansi transaksi digital, tetapi juga memiliki tingkat deteksi penipuan yang tinggi serta tingkat kepuasan pengguna yang signifikan. Studi ini diharapkan dapat memberikan kontribusi nyata dalam pengembangan sistem pembayaran digital yang aman, efisien, dan adaptif bagi pelaku usaha kecil di Indonesia.