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Deteksi Wajah Berbasis Facial Landmark Menggunakan OpenCV Dan Dlib RR Puji Hajar Sejati; Rodhiyah Mardhiyyah
(JurTI) Jurnal Teknologi Informasi Vol 5, No 2 (2021): DESEMBER 2021
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v5i2.2220

Computer science and information technology have advanced in a variety of sectors that were previously unachievable due to constraints such as hardware. Computer vision can be used to recognize an object using computer science. Objects can be recognized by taking or recording photos or videos and then processing them using specific tools and methodologies. The goal of the facial landmark-based face detection research using OpenCV and Dlib is to perform face detection in people so that it can be used for a variety of purposes in the future. The strategy employed in this study was the usage of facial landmarks using OpenCV and Dlib to improve face detection accuracy. Face detection has been effectively carried out based on facial landmark points, according to the findings of testing the entire system. Face landmark-based face detection is more accurate using the OpenCV Dlib, which can be seen during processing in the OpenCV Dlib, which can precision photos based on facial movements.

A Decision Support System of Scholarship Grantee Selection Using Moora Rodhiyah Mardhiyyah; Rr. Hajar Puji Sejati; Devi Ratnasari
International Journal of Applied Business and Information Systems Vol. 3 No. 1 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering

Scholarships are awards from an institution or an individual to someone for educational purposes. Scholarships can be given free or on conditions that prospective scholarship grantee must-have. The scholarship grantee selection process is usually with several criteria in order to get grantee who can be declared elected as scholarship grantee. The use of several criteria in the selection process requires more analysis to determine the scholarship grantee. Moora (Multi-Objective Optimization on The Base of Ratio Analysis) is one of the methods of decision support systems that can be used to assist decision-makers in making decisions. This study takes scholarship acceptance criteria as a parameter then each parameter is given a weight based on the priority of each parameter. The results of this study are to get an optimization value of each alternative then after ranking, it can be seen the ranking of scholarship grantee.

Designing a Web-Based Therapy Aid Model for Non-Pharmacologists Stroke with Muscle Strength Disorder Rr Hajar Puji Sejati; Rodhiyah Mardhiyyah
International Journal of Applied Business and Information Systems Vol. 3 No. 2 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering

This research will discuss a web-based stroke therapy model to display examples of online therapeutic movements. This therapy is expected to help the patient's attendant to perform the therapy independently. The attendant must consult with a physiotherapist/doctor to determine the appropriate therapy. This research is motivated by the results of focus group discussions with physiotherapy to get a positive response and an acceptable value of 80%. Results of focus group discussions suggest for mobile-based development of the model. Based on these suggestions, the design of the model in this study will be developed based on the web. A web-based application is expected to simplify the distribution process of expert system models for non-pharmacological stroke therapy tools.

Hexacopter Drones for Fertilizer Sowing in the Agricultural Sector Using the Global Positioning System (GPS) Satyo Nuryadi; Rodhiyah Mardhiyyah; Bayu Ari Pratama; Zulkhairi
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 2 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Indonesian agricultural products are one of the highest-yielding agricultural commodities on the Asian continent. Farmers are still reliant on a manual method to agricultural land care and management, one of which is the application of fertilizer to agricultural land. As a result, with the help of an unmanned aerial vehicle (UAV) or a robot flying drone, a system or fertilizer sowing equipment is utilized on plants. The results of this study led to the creation of a hexacopter drone equipped with fertilizer-based sensors and GPS. Hexacopter refers to a quadcopter having only four rotors. Drone rides are paired with tank-shaped sower actuators and fertilizer spraying as a container and fertilizer sowing method. Using GPS sensor block m8n, which serves as a satellite signal receiver and is converted to a position point in the form of longitude and latitude values, the vehicle can travel to fertilize by following the route of the coordinate point that has been identified in the agricultural land region. The Pixhawk 2.4.8 flight control system, which uses automatic or autonomous controls, can run smoothly, allowing the ride to automatically seed the track. The Lippo 2300mAh 4s battery has a maximum ride load lifting capability of 500 grams of fertilizer and a fertilizing height of three meters.

Hexacopter Drones for Fertilizer Sowing in the Agricultural Sector Using the Global Positioning System (GPS) Satyo Nuryadi; Rodhiyah Mardhiyyah; Bayu Ari Pratama; Zulkhairi
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 2 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Indonesian agricultural products are one of the highest-yielding agricultural commodities on the Asian continent. Farmers are still reliant on a manual method to agricultural land care and management, one of which is the application of fertilizer to agricultural land. As a result, with the help of an unmanned aerial vehicle (UAV) or a robot flying drone, a system or fertilizer sowing equipment is utilized on plants. The results of this study led to the creation of a hexacopter drone equipped with fertilizer-based sensors and GPS. Hexacopter refers to a quadcopter having only four rotors. Drone rides are paired with tank-shaped sower actuators and fertilizer spraying as a container and fertilizer sowing method. Using GPS sensor block m8n, which serves as a satellite signal receiver and is converted to a position point in the form of longitude and latitude values, the vehicle can travel to fertilize by following the route of the coordinate point that has been identified in the agricultural land region. The Pixhawk 2.4.8 flight control system, which uses automatic or autonomous controls, can run smoothly, allowing the ride to automatically seed the track. The Lippo 2300mAh 4s battery has a maximum ride load lifting capability of 500 grams of fertilizer and a fertilizing height of three meters.

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