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All Journal LaGeografiA EMPATI : JURNAL ILMU KESEJAHTERAAN SOSIAL Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Minda Baharu Specta Journal of Technology Zonasi: Jurnal Sistem Informasi Jurnal Paradigma JURNAL MANAJEMEN PENDIDIKAN Buletin KKN Pendidikan Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Cardiovascular and Cardiometabolic Journal (CCJ) JPBM - Journal of Policy and Bureaucracy Management KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Journal of Economics Research and Policy Studies Buletin Kedokteran dan Kesehatan Prima Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia International Journal of Advanced Multidisciplinary Borneo Journal of Science and Mathematics Education Lex Journal : Kajian Hukum dan Keadilan AMMA : Jurnal Pengabdian Masyarakat Jurnal Riset Multidisiplin dan Inovasi Teknologi Jurnal Penelitian dan Pengkajian Ilmiah Jurnal Hukum Islam dan Hukum Keluarga Indonesian Journal of Islamic Law (IJIL) PESHUM SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa Journal of Computer Science and Information Technology Journal of Counseling Support Novara : Nusantara Innovation And Educational Technology
Pratama, Rizky
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Penentuan Pemilihan Lokasi Usaha Terbaik Menggunakan Metode AHP dan TOPSIS Chairina, Bella; Mesra, Trisna; Belen, Maria; Alfian, Wahyu; Simanjuntak, Frans Risky; Pratama, Rizky
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.54259

Abstract

Selecting a business location is a important strategic decision for UMKM, often hindered by subjectivity. This research aims to determine the best business location in Dumai City for UMKM owners. The methodology integrates the Analytic Hierarchy Process (AHP) for criteria weighting and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for alternative ranking. Data were collected from 20 respondents via questionnaires and interviews. Evaluation criteria included rental cost, accessibility, number of competitors, and location crowdedness . AHP results identified "nearby competitors" as the most significant criterion with a weight of 0.34. TOPSIS analysis selected "Near Offices" as the best alternative with a preference value of 0.63, followed by the city center (0.56), residential areas (0.33), and campus areas (0.29). These findings provide an objective basis for entrepreneurs in location decision-making to minimize investment risks. 
MENINGKATKAN KEMAMPUAN LITERASI SISWA SEKOLAH DASAR MELALUI PERMAINAN ESTAFET KATA Pratama, Rizky
JURNAL MANAJEMEN PENDIDIKAN Vol 14, No 1 (2026): Jurnal Manajemen Pendidikan
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jmp.v14i1.13363

Abstract

Kemampuan literasi merupakan keterampilan dasar yang harus dikuasai oleh siswa sekolah dasar untuk mendukung proses pembelajaran di berbagai bidang. Namun, banyak siswa masih menghadapi kesulitan dalam membaca dan memahami teks secara efektif. Salah satu faktor penyebabnya adalah metode pembelajaran yang kurang menarik dan tidak interaktif. Oleh karena itu, diperlukan inovasi dalam pembelajaran literasi yang menarik dan interaktif, salah satunya melalui permainan Estafet Kata. Metode ini diduga dapat meningkatkan minat dan keterampilan literasi siswa secara efektif melalui aktivitas yang menyenangkan dan kolaboratif. Penelitian ini menggunakan metode eksperimen dengan desain pretest-posttest control group design. Subjek penelitian terdiri dari dua kelompok siswa sekolah dasar, yaitu kelompok eksperimen yang menggunakan permainan Estafet Kata dan kelompok kontrol yang belajar dengan metode tradisional. Data dikumpulkan melalui tes literasi sebelum dan sesudah perlakuan, observasi selama proses pembelajaran, serta angket untuk mengetahui respons siswa. Analisis data dilakukan dengan metode statistik untuk melihat perbedaan hasil belajar antar kelompok. Penelitian ini diharapkan menghasilkan peningkatan signifikan dalam skor literasi siswa pada kelompok eksperimen.
Sistem Rekomendasi Produk E-Commerce Menggunakan Metode Collaborative Filtering Fauzan, Ahmad; Nurhaliza, Siti; Pratama, Rizky
Journal of Computer Science and Information Technology Vol. 2 No. 1 (2026): Journal of Computer Science and Information Technology, March 2026
Publisher : Lembaga Publikasi Ilmiah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/jocsit.v2i1.413

Abstract

The rapid growth of e-commerce platforms demands recommendation systems capable of delivering relevant and personalized product suggestions to users. Collaborative filtering has emerged as a dominant approach due to its ability to leverage user interaction patterns without relying on explicit product content information. This study aims to examine and design an e-commerce product recommendation system using collaborative filtering by integrating empirical findings from previous studies. A quantitative approach based on recommendation system modeling was employed, utilizing user interaction data such as purchase history, ratings, and browsing behavior. The results indicate that collaborative filtering significantly improves recommendation accuracy, user engagement, and sales potential, despite challenges such as cold start and data sparsity. The integration of hybrid models, machine learning techniques, and neural networks has proven effective in addressing these limitations. This study contributes both conceptually and practically to the development of adaptive and sustainable e-commerce recommendation systems.
Legal Status of AI-Generated Logos/Brands in Indonesian Intellectual Property Law Saputra, Timothius Richard Yudha; Rahmat, Diding; Nadriana, Lenny; Pratama, Rizky
International Journal of Advanced Multidisciplinary Vol. 5 No. 1 (2026): International Journal of Advanced Multidisciplinary (April - June 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v5i1.1979

Abstract

Artificial Intelligence (AI) has significantly transformed creative industries by enabling machines to generate aristic works such as images, designs, and logos used in commercial activities. The increasing use of AI-generated content raise important legal questions concerning authorship, ownership, and legal protection under intellectual property law. This study aims to analyze the legal status of AI-generated logos within the Indonesian intellectual property framework and to identify the most appropiate legal mechanism for protecting such works. This research applies a normative legal research method using statutory, conceptual, and comparative approach. The study examines Indonesian copyright law under Law No. 28 Of 2014 Concerning Copyright and Trademark Protection under Law No. 20 Of 2016 Concerning Trademarks and Geographical Indications. The results indicate that Indonesia copyright law remain human-centered, meaning that works generated autonomously by artificial intelligence do not fully meet the legal requierements for copyright law. However, AI-generated logos may still obtain legal protection through trademark registration under the first-to-file principle. This study concludes that trademark law currently provides the most effective legal mechanism for protecting AI-generated logos in Indonesia. The research also highlights the need for future legal reform to address the growing role of artificial intelligence in creative industries.
Co-Authors Abdul Ahmad Hafid Nurmansyah Afifah, Seftia Nur Agus Riyanto Ahmad Fauzan Ahmad, Mursalin Al-Marsyah, Miftah Nurul Huda Alfian, Wahyu Andi Tenri Kawareng Anindya, Lestari Anita Christine Sembiring Antika, Arum Asma Aqiilah, Dian Arastone, Albert Arasyi, Firqa Aqila Noor Arasyi, Hidtsa Aqila Noor Arif Wibowo Arwanto, Bambang Asyifa, Nurdillah Laina Asyrovi, Sabil Audina, Nia AZIMAH, RIZKI NOR AZIZAH, ZULFANISSA Bagaskara, Dzulfikar Tri Bambang Irawan Belen, Maria Cathas Teguh Prakoso Chairina, Bella Cornelia, Geby Desta, Maorina Dewi Putri, Nita Diding Rahmat Fatkhatun Khasanah, Tisna Febriansah, Rido FEBRIANTORO, WAHYU Fidela, Talitha Marsha Florenly, Florenly Ghazlina, Sonya Soraya Gusti Naufal Rizky Perdana Hadi, Yolanda Nurul Halawa, Kristia Ayu Putri Halim, Susanna Hamdani Handayani, Sri Hendra Saputra Hikmah, Mamluatul Ibnu Rasyid, Kharisma Ifa, Siti Hudza Jasson, Royan KHASANAH, ISMI NUR Lairana Larasati, Andini Lenny Nadriana Lim, Davin Marluwi, Marluwi Maulana, Rasyid Muttaqim Maulana, Rewido Ilham Maulisa, Nabilatul Mawaddah, Fattia Maya Lestari, Inten Misdawita Misdawita Mukharomah, Chusnul Feby Munawaroh, Kholifah Nur mupaat, mupaat Muqimuddin Nofiana Nur, Jayanti Noveri, Irsadanus Nur Aisyah, Adisti Oktavia, Rima Padrisan Jamba, Padrisan Pangesti, Rizka Dhilla Dwi Parwanto Parwanto, Parwanto Pradana, Fajar Gemilang Purba, Arini Anestesia PURNOMO, SHAFA RIFDA SYAFIRA Putra, Muhammad Mardika Putri, Anidya Thoha Putri, Nur Aisyah Putri, Sri Marisa Lingga Putri, Utami Mizani Ramadhan, Anggia Ramdanis, Sapril Nurul Reza Kurniawan, Candra Romadlon, Arif Firdausi Nur Rulliannor Syah Putra Saepudin, Sudin Salsabilah, Putri Syfha Sanyya, Evana Saputra, Timothius Richard Yudha Sari, Lusi Rahma Sari, Madinda Puspita Senobaan, Riska Tipa Sikka, Leti Simanjuntak, Frans Risky Siti Nurhaliza Sri Handayani Susanti, Ayu Annisa Sutaryono Syamsiah, Syamsiah Syawaaliya, Aura Tarigan, Gabriel C.J. Trisna Mesra, Trisna Uswatun Hasanah Utaminingsih, Estri Yohana Aksah, Sintia Yunus Aris Wibowo