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All Journal Jurnal Riset Akuntansi Politala Journal of Informatics and Interactive Technology (JIITE)
Januarta, Andre
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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Implementasi Program Pemberdayaan UMKM Berbasis Legalitas Usaha di Kabupaten Pulang Pisau Januarta, Andre; Pasaribu, Muhammad Irvan Yazid Azhar
Jurnal Riset Akuntansi Politala Vol 9 No 1 (2026): Jurnal Riset Akuntansi Politala
Publisher : Pusat Penelitian dan Pengabdian bagi Masyarakat Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jra.v9i1.674

Abstract

The MSME empowerment program in Pulang Pisau Regency places business legality as the primary foundation in the development and distribution of government assistance. Legality such as Business Identification Numbers (NIB) and micro-business permits are used to ensure the accuracy of targeting and validity of business actor data. This study aims to analyze the implementation of the MSME empowerment program based on business legality using a descriptive qualitative approach and referring to Edward III's Policy Implementation Theory, which emphasizes four main variables: policy communication, resources, implementer disposition, and bureaucratic structure. Data were obtained through in-depth interviews with local government officials and MSME actors, as well as analysis of related policy documents. The results show that business legality has been consistently implemented as an administrative requirement and program evaluation indicator, reflecting a fairly clear bureaucratic structure and relatively focused policy communication. However, MSME actors still face obstacles in terms of resources and implementation support, particularly related to marketing, logistics costs, and the lack of supporting infrastructure such as MSME product centers. In addition, implementer dispositions have supported the program, but have not fully met MSME needs for market access and further assistance. These findings indicate that legality-based implementation has been successful administratively, but further strengthening of resources and structural support is needed to ensure optimal and sustainable MSME empowerment programs.
Optimasi Kinerja Metode Hybrid Content-Based Filtering dan Matrix Factorization pada Sistem Rekomendasi Film Januarta, Andre; Putra, Bagus Darmajati Perdana; Nugraha, Deka Dwi; Hidayat, Sofyan; Abiyasa, Mahendra Akmal; Saputra, Ade; Umar, Zaidan; Herlambang, Faradi Deo
Journal of Informatics and Interactive Technology Vol. 3 No. 1 (2026): April
Publisher : ACSIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63547/jiite.v3i1.115

Abstract

Perkembangan platform digital dan layanan streaming film menyebabkan peningkatan jumlah konten yang tersedia bagi pengguna. Kondisi ini menimbulkan permasalahan information overload, di mana pengguna mengalami kesulitan dalam menentukan film yang sesuai dengan preferensi mereka. Sistem rekomendasi hadir sebagai solusi untuk membantu pengguna menemukan film yang relevan secara cepat dan personal. Penelitian ini bertujuan untuk menganalisis kinerja sistem rekomendasi film menggunakan metode hybrid yang mengombinasikan Content-Based Filtering (CBF) dan Matrix Factorization (MF). Pendekatan CBF memanfaatkan representasi genre film menggunakan Term Frequency–Inverse Document Frequency (TF-IDF) dan Cosine Similarity untuk mengukur kemiripan antar film, sedangkan MF diterapkan menggunakan teknik Singular Value Decomposition (SVD) untuk mempelajari pola laten interaksi pengguna dan film berdasarkan data rating. Dataset yang digunakan berasal dari The Movie Database (TMDB) dan MovieLens dengan jumlah data yang besar dan beragam. Hasil penelitian menunjukkan bahwa metode hybrid mampu meningkatkan kualitas rekomendasi dengan menggabungkan keunggulan kedua pendekatan, di mana CBF berperan sebagai penyaring awal berdasarkan kemiripan konten dan MF berfungsi untuk memprediksi serta mengurutkan film berdasarkan preferensi pengguna. Evaluasi kinerja sistem menggunakan confusion matrix dan metrik precision, recall, serta F1-score menunjukkan tingkat akurasi sebesar 73%, dengan performa yang baik pada kelas like. Hasil ini membuktikan bahwa pendekatan hybrid efektif dalam menghasilkan rekomendasi film yang lebih relevan dan personal.
Co-Authors Abiyasa, Mahendra Akmal Ade saputra Herlambang, Faradi Deo Hidayat, Sofyan Nugraha, Deka Dwi PASARIBU, MUHAMMAD IRVAN YAZID AZHAR Putra, Bagus Darmajati Perdana Umar, Zaidan