Garuda - Garba Rujukan Digital

Paradikma Hukum Perlindungan Konsumen Di Era Ekonomi Digital Indonesia Joni Laksito; Rengga Kusuma Putra
Birokrasi: JURNAL ILMU HUKUM DAN TATA NEGARA Vol. 1 No. 3 (2023): Birokrasi: JURNAL ILMU HUKUM DAN TATA NEGARA
Publisher : Sekolah Tinggi Ilmu Administrasi (STIA) Yappi Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/birokrasi.v1i3.817

Objective: to determine trends in consumer legal protection in the digital economy era from various industries in Indonesia based on article reviews. Method: secondary data in the form of articles that match the research objectives with a publication period of 2014-2023, obtained online from Emerald, Elsevier, and Google Scholar. The analysis was carried out using Systematic Literature Review (SLR), using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. Results: The data search obtained 341 articles, and those that met the inclusion criteria were 9 (nine) articles with publication years 2019–2023 , in the fields of e-commerce, fintech, and online transportation. Article on cases of transactions via e-commerce and online transportation using UUITE No. 19 of 2016, and UUPK no. 8 of 1999. This regulation has not been able to meet increasingly dynamic market conditions and very sharp competition in the business world, so it has not been able to provide legal certainty to consumers. Problems in the fintech P2P lending sector use the legal basis of POJK No. 77 of 2016 concerning Information Technology-Based Money Lending Services. Regarding this regulation, it is still subjective, so it cannot provide protection to customers. In fact, there are still many illegal fintech loans found, thus outside the responsibility and authority of the OJK. Novelty: trends obtained from previous research regarding consumer legal protection. Future Research Agenda: conducting a study on the future of law in the digital economy era regarding obstacles in harmonizing various regulations.

A DIGITAL PRINTING APPLICATION AS AN EXPRESSION IDENTIFICATION SYSTEM. Arman Arman; Prasetya Prasetya; Feny Nurvita Arifany; Fertilia Budi Pradnyaparamita; Joni Laksito
Journal of Technology Informatics and Engineering Vol 1 No 2 (2022): August: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i2.135

Human Computer Interaction (HCI), a growing research field in science and engineering, aims to provide a natural way for humans to use computers as tools. Humans prefer to interact with each other mainly through speech, but also through facial expressions and gestures, for certain parts of the speech and displays of emotions. The identity, age, gender, and emotional state of a person can be obtained from his face. The impression we receive from the expression reflected on the face affects our interpretation of the spoken word and even our attitude towards the speaker himself. Although emotion recognition is an easy task for humans, it still proves to be a difficult task for computers to recognize user`s emotional state. Advances in this area promise to arm our technological environment by means for more effective interactions with humans, and hopefully the impact of facial expressions on cognition will increase rapidly in the future. Will do. In recent years, the adoption of digital has increased rapidly, and the quality has improved significantly. Digital printing has resulted in fast delivery and needs-based costs. This article describes a sophisticated combination classifier approach, an empirical study of ensembles, stacking, and voting. These three approaches were tested on Nave Bayes (NB), Kernel Naive Bayes (kNB), Neural Network (NN), Auto MultiLayer Perceptron (Auto MLP), and Decision Tree (DT), respectively. The main contribution of this paper is the improvement of the classification accuracy of facial expression recognition tasks. In both persondependent and nonpersondependent experiments we showed that using a combination of these classifier combinations gave significantly better results than using individual classifiers. It has been observed from experiments that the overall voting technique by voting achieves the best classification accuracy.

MENGUBAH BUDAYA PENDIDIKAN HUKUM MENGGUNAKAN PEMBELAJARAN SIMULASI METAVERSE Joni Laksito; Agus Wibowo
JURNAL HUKUM, POLITIK DAN ILMU SOSIAL Vol. 1 No. 2 (2022): Juni: JURNAL HUKUM, POLITIK DAN ILMU SOSIAL
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jhpis.v1i2.1532

Penelitian ini bertujuan untuk mengembangkan alat pembelajaran yang dapat digunakan untuk merevolusi sistem pendidikan tradisional dalam bidang hukum menggunakan pembelajaran simulasi metaverse. Pembelajaran berbasis simulasi melibatkan pembuatan skenario realistis dalam lingkungan yang aman dan terkendali untuk membantu mahasiswa dalam mengembangkan keterampilan dan pengetahuan yang dapat diterapkan pada situasi dunia nyata, terlebih lagi, lingkungan online yang terbentuk semenjak pandemi covid muncul membuat berbagai institusi pendidikan doipaksa untuk terus berevolusi dalam penggunaan platform digital yang semakin canggih. Penelitian ini menggunakan pendekatan sistematik dan holistik dan dievaluasi lebih lanjut untuk mengalisis dan memberikan saran perubahan pada kurikulum pendidikan tinggi dibidang ilmu hukum sehingga alat yang diusulkan dapat digunakan lebih luas lagi pada berbagai program studi. Hasil penelitian menunjukkan bahwa, terdapat peningkatan pembelajaran mahasiswa lintas kurikulum profesi khususnya bidang hukum terlebih lagi dimasa pandemi covid dengan memanfaatkan ruang virtual yang memiliki suasana dunia nyata, sehingga menjembatani bentuk pembelajaran antara program akademik dan pengembangan profesi berkelanjutan

A DIGITAL PRINTING APPLICATION AS AN EXPRESSION IDENTIFICATION SYSTEM. Arman Arman; Prasetya Prasetya; Feny Nurvita Arifany; Fertilia Budi Pradnyaparamita; Joni Laksito
Journal of Technology Informatics and Engineering Vol. 1 No. 2 (2022): August: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i2.135

Human Computer Interaction (HCI), a growing research field in science and engineering, aims to provide a natural way for humans to use computers as tools. Humans prefer to interact with each other mainly through speech, but also through facial expressions and gestures, for certain parts of the speech and displays of emotions. The identity, age, gender, and emotional state of a person can be obtained from his face. The impression we receive from the expression reflected on the face affects our interpretation of the spoken word and even our attitude towards the speaker himself. Although emotion recognition is an easy task for humans, it still proves to be a difficult task for computers to recognize user`s emotional state. Advances in this area promise to arm our technological environment by means for more effective interactions with humans, and hopefully the impact of facial expressions on cognition will increase rapidly in the future. Will do. In recent years, the adoption of digital has increased rapidly, and the quality has improved significantly. Digital printing has resulted in fast delivery and needs-based costs. This article describes a sophisticated combination classifier approach, an empirical study of ensembles, stacking, and voting. These three approaches were tested on Nave Bayes (NB), Kernel Naive Bayes (kNB), Neural Network (NN), Auto MultiLayer Perceptron (Auto MLP), and Decision Tree (DT), respectively. The main contribution of this paper is the improvement of the classification accuracy of facial expression recognition tasks. In both persondependent and nonpersondependent experiments we showed that using a combination of these classifier combinations gave significantly better results than using individual classifiers. It has been observed from experiments that the overall voting technique by voting achieves the best classification accuracy.

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