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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of ICT Research and Applications Proceeding of the Electrical Engineering Computer Science and Informatics Prosiding Seminar Nasional Pakar Aptisi Transactions on Management Journal of Applied Information, Communication and Technology AICS Prosiding Konferensi Nasional PKM-CSR Ranah Research : Journal of Multidisciplinary Research and Development

Maulahikmah Galinium

Swiss German University

Author-ID : 716506

Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Transportation Other

Published : 19 Documents Claim Missing Document

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Articles

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Markerless motion capture for 3D human model animation using depth camera Maulahikmah Galinium; Jason Yapri; James Purnama
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.8939

3D animation is created using keyframe based system in 3D animation software such as Blender and Maya. Due to the long time interval and the need of high expertise in 3D animation, motion capture devices were used as an alternative and Microsoft Kinect v2 sensor is one of them. This research analyses the capabilities of the Kinect sensor in producing 3D human model animations using motion capture and keyframe based animation system in reference to a live motion performance. The quality, time interval and cost of both animation results were compared. The experimental result shows that motion capture system with Kinect sensor consumed less time (only 2.6%) and cost (30%) in the long run (10 minutes of animation) compare to keyframe-based system, but it produced lower quality animation. This was due to the lack of body detection accuracy when there is obstruction. Moreover, the sensor’s constant assumption that the performer’s body faces forward made it unreliable to be used for a wide variety of movements. Furthermore, standard test defined in this research covers most body parts’ movements to evaluate other motion capture system.

Implementation of Multipattern String Matching Accelerated with GPU for Intrusion Detection System Rangga Nehemia; Charles Lim; Maulahikmah Galinium; Ahmad Rinaldi Widianto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Abstract. As Internet-related security threats continue to increase in terms of volume and sophistication, existing Intrusion Detection System is also being challenged to cope with the current Internet development. Multi Pattern String Matching algorithm accelerated with Graphical Processing Unit is being utilized to improve the packet scanning performance of the IDS. This paper implements a Multi Pattern String Matching algorithm, also called Parallel Failureless Aho Corasick accelerated with GPU to improve the performance of IDS. OpenCL library is used to allow the IDS to support various GPU, including popular GPU such as NVIDIA and AMD, used in our research. The experiment result shows that the application of Multi Pattern String Matching using GPU accelerated platform provides a speed up, by up to 141% in term of throughput compared to the previous research.

Iris Segmentation using Gradient Magnitude and Fourier Descriptor for Multimodal Biometric Authentication System Defiana Sulaeman; Anto Satriyo Nugroho; Maulahikmah Galinium
Journal of ICT Research and Applications Vol. 10 No. 3 (2016)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2016.10.3.2

Perfectly segmenting the area of the iris is one of the most important steps in iris recognition. There are several problematic areas that affect the accuracy of the iris segmentation step, such as eyelids, eyelashes, glasses, pupil (due to less accurate iris segmentation), motion blur, and lighting and specular reflections. To solve these problems, gradient magnitude and Fourier descriptor are employed to do iris segmentation in the proposed Multimodal Biometric Authentication System (MBAS). This approach showed quite promising results, i.e. an accuracy rate of 97%. The result of the iris recognition system was combined with the result of an open-source fingerprint recognition system to develop a multimodal biometrics authentication system. The results of the fusion between iris and fingerprint authentication were 99% accurate. Data from Multimedia Malaysia University (MMUI) and our own prepared database, the SGU-MB-1 dataset, were used to test the accuracy of the proposed system.

IMPLEMENTING INDONESIAN LANGUAGE CHATBOT FOR ECOMMERCE SITE USING ARTIFICIAL INTELLIGENCE MARKUP LANGUAGE (AIML) Stefanus Ardhito Prasetya; Alva Erwin; Maulahikmah Galinium
Prosiding Seminar Nasional Pakar Prosiding Seminar Nasional Pakar 2018 Buku I
Publisher : Lembaga Penelitian Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/pakar.v0i0.2652

E-Commerce becomes one of the hits in the online world nowadays. Peopleare tending to buy things online. Some e-commerce sites providechatting withtheir contact person to get in touch with their customers every time. However,there is another alternative to get in touch with the customers, which is usingChatbot. It can be used for 24 hours every day as long as the server is on. It canhelp customers to know more about the products. Furthermore, customers getinformation that being asked. This Chatbot is built using Artificial IntelligenceMarkup Language (AIML) and Pandorabots as the interpreter. This researchaims to found right AIML interpreter which can be used in Indonesianlanguage E-Commerce website. By holding experiment with respondent, itsaccuracy is measured. The result shows that the Chatbot still needsimprovement. Chatbot knowledge pattern matching rules should be enrichedbased on the questions that customers input in order to construct rules.

USER EXPERIENCE ANALYSIS OF AN E-COMMERCE WEBSITE USING USER EXPERIENCE QUESTIONNAIRE (UEQ) FRAMEWORK Kevin Andika Lukita; Maulahikmah Galinium; James Purnama
Prosiding Seminar Nasional Pakar Prosiding Seminar Nasional Pakar 2018 Buku I
Publisher : Lembaga Penelitian Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/pakar.v0i0.2658

The purpose of this study is to find the attribute of the Nappa Milano onlinestore that needs improvement the most based on the result of the userexperience (UX) evaluation of the customers of Nappa Milano online store.Nappa Milano is a brand of male footwear that has been since 2013. This studyuses the UEQ framework to conduct the UX evaluation. There are severalattribute a website has which is the attractiveness, perspicuity, efficiency,dependability, stimulation, and Novelty. The result indicates that thePerspicuity attribute is the attribute that receives the most positive evaluationbecause it receives the score of 2.048 from the scale which ranges from -3 to 3.On the other hand, the novelty attribute is the attribute of the Nappa Milanoonline store that needs most improvement because it receives the mostnegative evaluation because it receives the score of 0.157 from the scale whichranges from -3 to 3.

Implementation For Augmentative And Alternative Communication (AAC) Tools For Rett Syndrome Individual In Activities Of Daily Living (ADL) Maulahikmah Galinium; Timothy Aditya Sutantyo; Eka Budiarto
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 2 (2019): Peran Perguruan Tinggi dan Dunia Usaha dalam Mempersiapkan Masyarakat Menghadapi Era I
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Rett Syndrome occurs between one in 10000 to 15000 girls in Indonesia. In Hasan Sadikin Hospital, Bandung, Indonesia, there is a girl suffering from Rett Syndrome. Doctors in Hasan Sadikin Hospital find a lot of difficulties in communicating with the patient, since Rett Syndrome patients has little-to-no speech capabilities, and their hands often move involuntarily, especially with regards to Activities of Daily Living (ADL). Hence, a method to communicate with Rett Syndrome patient is being proposed using Augmentative and Alternative Communication (AAC) to support communication between the caregiver and the patient. Two of those methods are using gaze-tracking and head-pose. The methods tested consists of head-pose algorithm, gaze-tracking with Dlib, gaze-tracking with Haar Cascades, and EyeTribe. Each method is tested first with normal people before being tested with the patient. EyeTribe, head-pose, and gaze-tracking algorithm using Dlib achieve good results, with the best results being at 50cm distance and with high light intensity, however the Rett Syndrome patient achieves poor results when using the application, although head-pose achieves the best results in terms of determining needed ADL at around 45% accuracy. Hence, the Rett Syndrome patient needs training to use the application properly.

Implementation Of Mobile Application For A Museum By Using Internet Of Things Technology Anthony Widjaja; James Purnama; Maulahikmah Galinium
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 2 (2019): Peran Perguruan Tinggi dan Dunia Usaha dalam Mempersiapkan Masyarakat Menghadapi Era I
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

This project is conducted based on the Nawacita policy from President Joko Widodo. Tourists tend to explore the attraction independently instead of using a tour guide, but there are minimum supporting facilities because of the limitations of detailed information on tourist attraction in various languages that are not interesting and less interactive. The objectives of the research are to develop an Internet of Things based mobile application named eTourGuide that uses a location-based service to get information about the content interestingly and interactively inside a museum. The location-based service uses beacon that broadcast Bluetooth Low Energy (BLE) signal. Development of the research includes several experiments for gathering the data optimally. After completing the development, user experience questionnaire is required to evaluate the result of user’s experience after using the application. The result shows positive results of user’s experience after using the application.

The Role of a Variety of Research Studies on Problem Management Djatmiko, Budi; Galinium, Maulahikmah; Lutfiani, Ninda
APTISI Transactions on Management (ATM) Vol 2 No 1 (2018): ATM (APTISI Transactions on Management)
Publisher : Pandawan

In the process of finding the truth, factual information is needed, starting from simple methods such as good time management in reading, listening and asking questions, until complex ways of research. So, researchers must understand what types of research can be used as references, to facilitate researchers in doing problem management properly, the results of which are able to solve problems and obtain factual information. This paper describes 7 (seven) different types of research, there are research based on approaches, functions, purpose, characteristics, problem characteristics, research process, and measurement techniques and data analysis. The explanation’s purpose of the variety of research is to provide insight into the management of the problems that occur with the planning carried out by the researcher, especially in terms of literature, so that before considering various stages of planning and doing research, researchers can also consider the main features of certain forms of research that are well compiled and reported. So, problem management can be done as well as possible to produce valid steps in solving problems. Keywords : Variety of Research, Literature, Factual Information, Problem Management

The Use of Aerial Drone Technology for Landslide Investigation in Nickel Mining PT. KLM Baehaqi, Hendy; Umniyati, Yunita; Galinium, Maulahikmah
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 1 (2025): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i1.1892

This study explores the use of drone technology to assess landslides within PT. KLM’s nickel mining area. Key challenges in collecting geotechnical data include difficult terrain, landslide risks, and limitations of conventional survey methods. The research applies the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach to identify issues, collect and analyze drone data, and develop solutions to reduce landslide risks. Drone flights were conducted at altitudes of 100 m, 150 m, and 200 m, producing maps that evaluate each flight's image resolution, collision risk, photo coverage, flight area, and suitability. Based on these results, the 150 m altitude was selected as optimal. Using Real Time Kinematic (RTK) processing, the drone data showed an average accuracy variance of about 0.317 meters. Findings indicate that drone data effectively produces high-resolution orthophotos, contour maps, and 3D models to monitor terrain changes before and after landslides. Overall, drone technology improves efficiency, enhances safety, and increases data quality for better landslide risk management in nickel mining.

Co-Authors Ahmad Rinaldi Widianto Alva Erwin Anthony Widjaja Anto Satriyo Nugroho Baehaqi, Hendy Charles Lim Defiana Sulaeman Djatmiko, Budi Eka Budiarto Erwin, Alva Firstama, Panjinagara Vandy I Eng, Kho Ipung, Heru Purnomo Irawan, Krisma Budianto James Purnama Jason Yapri Kafin, Kafin Kevin Andika Lukita Leeson, Marchelno Lim, Charles Marico, Joxel Marpaung, Abdullah Muzi Masasi, Gianino Michelle, Nastassja Mukadis, Panji Nehemia, Rangga Ninda Lutfiani Oliver, Stefanus Rangga Nehemia Rifki Danu Rendradi Rinaldi Widianto, Ahmad Setyonugroho, Adityo Soetomo, Mohammad Achmad Amin Stefanus Ardhito Prasetya Sukandar, Bernhart Farras Timothy Aditya Sutantyo Umniyati, Yunita

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