Claim Missing Document
Check
Articles

Found 4 Documents
Search

Penerapan Perlindungan Hukum Terhadap Produk Potensi Indikasi Geografis di Indonesia Fitri Hidayat
Jurnal Risalah Hukum Volume 10, Nomor 1, Juni 2014
Publisher : Fakultas Hukum Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Undang-Undang Nomor 15 Tahun 2001 Tentang Merek (UU Merek) merupakan dasar hukum perlindungan indikasi geografis. Pada UU Merek ini aturan mengenai indikasi geografis hanya terdiri dari beberapa Pasal, sehingga membuat aturan mengenai indikasi geografis menjadi tidak jelas. Karena aturan mengenai indikasi geografis masih bergabung dengan UU Merek, sehingga Pasal mengenai merek dan Pasal mengenai indikasi geografis menjadi saling bertentangan. Aturan yang tidak jelas dan saling bertentangan menjadi penyebab tidak tumbuhnya perlindungan indikasi geografis di Indonesia. Untuk mengetahui penerapan perlindungan hukum terhadap produk potensi indikasi geografis di Indonesia, maka metode penelitian yang digunakan adalah yuridis normatif. Berdasarkan hasil penelitian, diperoleh jawaban atas permasalahan yang ada, bahwa perlindungan hukum tentang indikasi geografis di Indonesia tidak dapat mendorong tumbuhnya perlindungan indikasi geografis terhadap produk potensi indikasi geografis di Indonesia. Karena dasar hukum mengenai indikasi geografis di Indonesia masih bergabung dengan UU Merek dan hanya terdiri dari beberapa Pasal saja. Pasal-Pasal mengenai indikasi geografis yang ada dalam UU Merek pun bertentangan dengan Pasal-Pasal mengenai merek, sehingga membuat peraturan perundangan yang ada mengenai indikasi geografis menjadi tidak jelas. PP Indikasi geografis juga hanya mengulang aturan-aturan yang ada dalam UU Merek. Ketidakjelasan aturan mengenai indikasi geografis mengakibatkan tidak terlindunginya produk potensi indikasi geografis secara optimal. Pemerintah perlu membentuk undang-undang tentang indikasi geografis secara terpisah atau berdiri sendiri, tidak bergabung dengan Undang-Undang Merek untuk dapat memberikan perlindungan yang optimal terhadap produk potensi indikasi geografis di Indonesia
Adaptive and Digital Marketing: A Sustainable Strategy for Developing Culinary SME Business (Law of the Republic of Indonesia. Number 20 of 2008) Post-Pandemic Rini Rahayu Kurniati; Fitri Hidayat
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (139.066 KB) | DOI: 10.29099/ijair.v6i1.370

Abstract

When situations and conditions in the small, medium and large-scale environments change, these changes have an impact on every activity, even the most pronounced post-pandemic areas of business. The SME-class culinary business in the city of Batu can survive and some are growing in the pandemic situation and conditions, and this is an interest to be researched to develop a post-pandemic business. This study uses a qualitative type with data collection namely observation, interviews, and documentation then analyzed using an interactive model. The results of this study prove that the Adaptive Strategy (SA) contributes to providing solutions to survive and or develop, it should be noted that being adaptive requires various maturity steps by examining various internal and external aspects. At least it needs a concept or strategy of "landscape, learning, leadership", which is strengthened by considerations and policies in efficiency, utilization, flexibility, timeliness, value, or cost. So that it can increase the ability to survive and even develop in various situations. In addition to Adaptive Strategies, Culinary SMEs use digital marketing strategies through social media. Social media is effective for business activities because it can bring together a brand/company/business with the target audience/market. Thus increasing revenue and being able to grow the business.
PERANCANGAN PARAMETER PI-DIGITAL DENGAN METODE RST-POLE PLACEMENT PADA DIRECT TORQUE CONTROL MOTOR TRAKSI INDUKSI TIGA FASA Nur Hidayatus Safitri; Moch. Rusli; Bambang Siswojo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
Publisher : Jurnal Mahasiswa TEUB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current development of industrial technology, electricity has been used as the prime mover. One of them is an electric motor, the most widely used is an induction motor. This is because induction motors have advantages in easier maintenance, relatively affordable prices, sturdy construction, and more reliable performance. Examples of the use of induction motors are in modes of transportation, both land, sea and air. However, induction motors still have a weakness which lies in the speed of themotor which is complicated to control. So the speed control research was carried out using the Direct Torque Control (DTC) method. To set the condition of the inverter switching using Space Vector Modulation (SVM). Speed, torque and flux control is carried out with a PI controller, where the PI parameters are determined using the RST-pole placement tuning method. Pole determination is based on the desired design performance criteria. The results of PI parameter on speed, torque, and flux arerespectively Kpω = 1277,59 and Tiω = -0,96, KpT = 8,4 and TiT = -0,2, Kpψ = 67,7 and Tiψ = 0,17. After testing, under no-load condition and a set point of 157 rad/s the system was able to reach a steady state with a steady state error of 0,6% within a settling time of 0,25 seconds. Under conditions of variation in load of 100 Nm, 200 Nm, 300 Nm, the system was able to reach steady state with steady state errors of 0,6%, 0,9%, and 1,2% in settling times of 0,25 seconds, 0,27 seconds, and 0,28 seconds, respectively. Keywords: Three Phase Induction Traction Motor, Direct Torque Control, Space Vector Modulation, PI-Digital Controller, RST Controller. DAFTAR PUSTAKA[1] S. E. Nugroho, W. Aribow, Ibrohim and A. C. Hermawan, "SISTEM PENGENDALIAN KECEPATAN MOTOR TIGA FASA MENGGUNAKAN METODE DIRECT TORQUE CONTROL 8 (DTC)," Jurnal Teknik Elektro, vol. X, no. 1, pp. 81-90, 2021.[2] K. R. S. Suda, E. Purwanto, B. Sumantri, H. H. Fakhruddin, A. A. Muntashir and M. R. Rusli, "PENGATURAN KECEPATAN MOTOR INDUKSI 3 FASA DENGAN MENGGUNAKAN PEMODELAN SISTEM (DTC) DIRECT TORQUE CONTROL," Jurnal Pendidikan Teknologidan Kejuruan, vol. XVIII, no. 2, pp. 237-248, Juli 2021.[3] A. Poorfakhraei, M. Narimani and A. Emadi, "A Review of Modulation and Control Techniques for Multilevel Inverters in Traction Applications," IEEE Access, Hamilton, 2021. [4] I. N. W. Satiawan, I. B. F. Citarsa and Supriono, "Perbandingan Kinerja Teknik Modulasi Inverter Dua-Level untuk Pengaturan Kecepatan Motor Induksi TigaFase," elektronik Jurnal Arus Elektro Indonesia, 2015.[5] Y. Satyanarayana and A. Srujana, "Speed Control of Induction Motor using Fuzzy PI Controller Based on Space Vector PulseWidth Modulation," International Journal Of Computational Engineering Research, pp. 1203-1209, September 2012.[6] I. D. Landau, "The R-S-T digital controller design and applications," Control Engineering Practice, pp. 155-165, 1998. [7] O. C. Sekhar, S. Lakhimsetty and A. H. Bhat, "A Comparative Experimental Analysis of Fractional Order PI Controller Based Direct Torque Control Scheme for Induction Motor Drive," International Transactions on Electrical Energy Systems, pp. 1-19, 2020.[8] R. Garg, P. Mahajan, N. Gupta and H. Saroa, "A Comparative Study between Field Oriented Control and Direct Torque Control of AC Traction Motor," in IEEE International Conference on Recent Advances and Innovations in Engineering, Jaipur, 2014.[9] M. Yusuf, V. Prasetia, S. D. Riyanto and A. A. Rafiq, "Desain Simulasi Sistem Pengaturan Motor Induksi Tiga Fasa dengan Switching Space Vector Pulse Width Modulation," ECOTIPE, vol. VI, no. 1, pp. 24-31, 2019.[10] D. w. Saputra, Design KOntrler PI Digital Berbasis Kriteria Integral Error Kuadratik pada Sistem Kontrol Kecepatan Motor DC,Malang: Skripsi, 2017.[11] I. D. Landau and G. Zito, DIGITAL CONTROL SYSTEMS : Identification, design and implementation, Berlin: Springer, 2006.[12] N. Pimkumwong and M.-S. Wang, "Direct Torque Control of Three-Phase Induction Motor based on Constant Voltage perFrequency Control with Simple Controller," in 15th International Conference on Electrical Engineering/Electronics, Computer,Telecommunications and Information Technology (ECTI-NCON2018), Taiwan, 2018.[13] S. Enache, A. Campeanu, I. Vlad, R. Zlatian and M. A. Enache, "Dynamic Analysis of New Induction Motor for Electrical Traction," in International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Craiova, 2020.[14] K. L. Shi, T. F. Chan, Y. K. Wong and S. L. Ho, "Modelling and Simulation of Direct Self-Control Systems," in Int. J. Engng Ed,Kowloon, 2003.[15] S. Enache, A. Campeanu, I. Vlad and M. A. Enache, "Particular Dynamic States of Railway Traction Asynchronous Motors,"in The XIth International Symposium on Advanced Topics in Electrical Engineering, Bucharest, 2019.[16] N. R. Mulyawan, S. Yahya and A. R. AlTahtawi, "Pemodelan Kecepatan Motor Induksi Tiga Fasa Dengan Metode Proportional Integral Anti Wind Up (PiAw)," in Prosiding SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan), Sukabumi, 2020.
Seleksi Fitur Information Gain untuk Klasifikasi Penyakit Jantung Menggunakan Kombinasi Metode K-Nearest Neighbor dan Naive Bayes Syafitri Hidayatul Annur Aini; Yuita Arum Sari; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.756 KB)

Abstract

Heart disease is one of the non contagious diseases that can lead to death. This disease occurs because of the narrowing of blood vessels that cause impairment of heart function. The death rate that caused by a heart disease is continuing increase and according by the Ministry of Health of the Republic of Indonesia research, in 2030 it reach 23.3 million peoples. It should be anticipated because the number of cardiologists in Indonesia is still very minimal. This research proposes framework Information Gain selection features with combination K-Nearest Neighbor and Naive Bayes to overcome the problems on the effectiveness and accuracy in classification heart disease. Information Gain algorithm used for reduce variable dimention to get relevant variables. After Information Gain selection features process is completed, the next process is classify numeric atributes with KNN and categorical atributes with Naive Bayes. The results of this research indicate an accuracy of 92.31% when the class distribution testing is balanced using 6 features with value of K=25 and when the class distribution testing is not balanced using 4 features with value of K=35. Based on these results, can be concluded that features selection Information Gain with combination KNN and Naive Bayes algorithm can be used for classifying heart disease.