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All Journal Journal on Education Jurnal Riset Informatika Jurnal Mantik Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Teknokris
Nur Hikmah
Universitas Krisnadwipayana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

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Performance analysis of Navigation AI on Commercial Game Engine: Autodesk Stingray and Unity3D Moch Fachri; Ali Khumaidi; Nur Hikmah; Nuke L Chusna
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.523 KB)

Abstract

This research establish crowd simulation on modern game engine such as Autodesk Stingray and Unity 3D. This paper explores the navigation system of both game engine. Furthermore we compare the navigation performance for each navigation system used by those engine: The gameware Navigation which is used in Stingray as its middleware for navigation AI, and Unity Navigation used in Unity3D. We simulate the crowd simulation using scenario of crossroad and narrow-passage. Experimental result demonstrates the navigation of hundreds of agents in densely populated environments.
Digital Preservation of Real World Objects Using Photogrametry from Digital Image Moch Fachri; Nur Hikmah
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.968.pp1616-1621

Abstract

One form of objects preservation is by converting real world objects into digital form. This allows historical information from these relics to be preserved even if due to some reason, the physical objects have disappeared. This research develops a digital image processing technology called photogrammetry to create three-dimensional models of real world objects. The use of photogrammetry is intended for digital preservation of real world objects which is formed in a 3D Reality Capture. The results we show that the digital information of real world objects can be presented in a virtual world and the data can be stored for preservation and future use.
Development of Slum District Application in The City of Bekasi Based on Web Nur Hikmah; Nuke L Chusna; Ali Khumaidi
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1015.pp1803-1807

Abstract

The Government of Bekasi City through The Department of Public Housing, Settlement Areas and Lands (DISPERKIMTAN) has a program to reduce slum areas with the City Without Slum Program (KOTAKU). District data collection is currently being carried out manually by the team and then the data is entered into the information system which can only be accessed internally. Existing data are not updated quickly so it is sometimes difficult to determine policies related to development assistance. Rukun Tetangga (RT) and Rukun Warga (RW) are part of the government structure closest to the community so that if data collection is carried out by them, the data will be fast and updated. This slum application development was developed using the SDLC model of waterfall method, while the stages include analysis, system design, system implementation, and system testing. Testing the application using a black box and the results are in accordance with the scenario and expectations.
Visualization of Real-World 3D Reconstructed Objects with Real-Time Ray Tracing on Ampere Architecture Graphic Processing Unit Nur Hikmah; Moch Fachri; Risanto Darmawan
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

3D models from the reconstruction of real-world objects have photorealistic details. This realistic detail in the visualization needs to be supported by a visualization environment that is able to represent realistic real-world conditions. However, the environmental light information on the reconstructed 3D object was lost in the reconstruction process. This is because the light obtained from scanned real-world objects for reconstruction can reduce the accuracy of the reconstruction results. This inaccuracy is caused by alterations in the light reflected from the captured object, causing the texture of the object difficult to reconstruct. In the visualization of the scanned object, the light that appears on the object is reformed virtually through ray tracing. This research utilizes the RT core technology on the Ampere graphics processor architecture introduced by Nvidia. With this technology, the ray tracing process can be carried out in real-time, enabling realistic and dynamic visualization. In this study, an application that is able to perform 3D visualization will be made by utilizing real-time ray tracing with an RT core on the graphics processing unit of the Ampere architecture. This application is able to blend virtual environments and 3D models that are reconstructed from the results of scanning real-world objects. We will demonstrate that this application can later become a 3D visualization solution for models from the reconstruction of real-world objects.
Persepsi Mahasiswa Terhadap Perkuliahan dalam Jaringan (Daring) pada Mata Kuliah Matematika 2 Wiga Ariani; Delpima Suhita; Nur Hikmah
Journal on Education Vol 4 No 4 (2022): Journal on Education: Volume 4 Nomor 4 Tahun 2022
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v4i4.541

Abstract

The purpose of this research was to look at the tendency of students' perceptions of online learning in mathematics 2. This research is a quantitative research with survey method. The main data source of this research was obtained from the respondents. This research was carried out at Mechanical Engineering Study Program, faculty of engineering, Krisnadwipaya University, in June 2022. Data collection techniques using questionnaires. Respondent in this research were student of the 2nd semester of mechanical engineering study program in the 2021-2022 academic year. The measurement scale used is a Likert scale with a scale of strongly agree (SS), agree (s), disagree (TS), strongly disagree (STS). The data analysis technique used descriptive statistics. The average percentage of 76.08% for the aspect of online lecture facilities and infrastructure located in the area strongly agrees that the facilities and infrastructure are very supportive of carrying out online lectures. The percentage of 78.57% which is located in the regions strongly agrees with the online lecture aspect in the mathematics course 2. This means that online learning activities can run well and according to the RPS and have a positive impact on students in terms of critical thinking, innovation, expressing communication ideas, and utilization. technology.
Perancangan Website Kecamatan Pasar Rebo Menggunakan Framework Bootstrap Mega Wahyu Rhamadani; Herry Wahyono; Nuke L Chusna; Nur Hikmah; M.Ageng Laksono
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 2 No. 1 (2023): Februari 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v2i1.1721

Abstract

The Pasar Rebo website is a public publication tool that provides information and an overview of Pasar Rebo, as well as enhancing services to the public to access information. Through this website, it is hoped that the community can obtain all information about the Pasar Rebo subdistrictThe website is no longer limited to providing static information, but is also capable of providing dynamic information by connecting to a database. Community Service activities are carried out in the Pasar Rebo sub-district. From the results of interviews with sub-district officers in Pasar Rebo, so far the community has only been limited to getting information on services, the one million orchid village program, facilities and infrastructure at the Pasar Rebo sub-district manually. Bootstrap is one of the most popular CSS (Cascading Style Sheet) frameworks used to build a website's frontend. By using Bootstrap, developers can speed up the web appearance development process because they no longer need to create styling from scratch, and ensure that the web appearance that is built is responsive and easy to read on various devices (desktop, tablet, or mobile). Therefore, the Pasar Rebo sub-district website was designed using a bootstrap framework with the aim that the public can easily access up-to-date information in the Pasar Rebo sub-district anytime and anywhere.
Identifying Skin Cancer Disease Types With You Only Look Once (YOLO) Algorithm Ninuk Wiliani; Nur Hikmah; Anita Putri Valeria
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.566

Abstract

The skin is the outermost vital organ and is susceptible to various diseases, including skin cancer. The number of cases of skin cancer around the world continues to increase every year, including in Indonesia. Proper handling is very important to cure skin cancer, and one of the solutions that can be used is the Deep Learning method. This study aims to apply the Deep Learning method, specifically an object detection algorithm called You Only Look Once (YOLO), for early skin cancer detection. The YOLOv5s algorithm was chosen as the model for this study because it has good accuracy and can detect objects in real-time. The research method involved collecting data on skin cancer cases and training the YOLOv5s model. After training, model testing was carried out to evaluate the ability to detect skin cancer. The test results show that the YOLOv5s model has an accuracy of 89.1% in detecting skin cancer types. This research has important implications in the health sector, especially in early skin cancer detection.
IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT GIGI MENGGUNAKAN METODE TEOREMA BAYES Fadhila Anggraini; Nur Hikmah; herry wahyono
TEKNOKRIS Vol 25 No 2 (2022): Jurnal Teknokris Edisi Desember
Publisher : Fakultas Teknik Unkris Jakarta

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Abstract

Teeth are one of the most vital organs of the human body, therefore maintaining dental health is very important. The reason why people only do dental check-ups when their teeth are sick and the lack of public awareness of themselves about dental health and the long queues that cause crowds at the dental clinic are the reasons why people are reluctant to come to the dental clinic during the pandemic which is still in existence in Indonesia. Therefore we need a system to facilitate both the handling and prevention of early symptoms of dental disease that can be done online. The method used in this study is the Bayes theorem method, where this method can calculate how often the symptoms appear. The results of the research on the implementation of an expert system for diagnosing dental disease is a website-based application that can help identify dental diseases with a percentage of 80%
Co-Authors Ali Khumaidi Anita Putri Valeria Chusna, Nuke L Delpima Suhita Fadhila Anggraini Herry Wahyono M.Ageng Laksono Mega Wahyu Rhamadani Moch Fachri Ninuk Wiliani Risanto Darmawan Wiga Ariani