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All Journal Jurnal Ilmu Komputer dan Informasi Buletin Udayana Mengabdi Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) PROSIDING CSGTEIS 2013 JOIV : International Journal on Informatics Visualization SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Electrical, Electronics and Informatics International Journal of Engineering and Emerging Technology Journal of Applied Science, Engineering, Technology, and Education MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Rekayasa elektrika Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
Gede Sukadarmika
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Udayana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Other

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Development of Employee Management Information System UI/UX Using a User Centered Design Approach Saputra, Deva Dimastawan; Sukadarmika, Gede; Purnama, Fajar
Scientific Journal of Informatics Vol. 12 No. 3: August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i3.27979

Abstract

Purpose: This study aims to develop a user interface and user experience (UI/UX) prototype for an Employee Management Information System (EMIS) at PT. Galsoft. The research focuses on addressing the manual administrative processes that are still widely used in the company's daily operations. The primary objective is to produce an interface design that aligns with user needs and improves the efficiency of work processes. Methods: This research adopts a User Centered Design (UCD) approach, consisting of four main stages: understanding the context of use, specifying user requirements, designing solutions, and evaluating the design. The prototype developed focuses solely on the UI/UX aspects without involving full system implementation. Usability evaluation was conducted using the System Usability Scale (SUS), involving 38 respondents from various divisions within the company. Result: The evaluation results show that the developed UI/UX prototype achieved an average SUS score of 89.4. This score indicates that the design has a high level of usability, is easy for users to operate, and supports the administrative workflows required by the organization. These findings demonstrate that the UCD approach effectively contributed to creating a design that is both functional and responsive to user needs. Novelty: This study contributes to the field of administrative information system prototyping in workplace environments that have yet to adopt digital solutions. The novelty of this research lies in the comprehensive application of the UCD approach, combined with SUS based usability evaluation, to produce a relevant and functional design that is ready to be further developed into a fully implemented system.
Sistem Presensi Otomatis Menggunakan Pengenalan Wajah Berbasis Deep Learning dan Real-Time Database Nugraha, I Putu Elba Duta; Sukadarmika, Gede
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.8792

Abstract

The attendance system is a crucial component in the operations of any organization. However, most existing attendance systems still require significant time or manual intervention from users. This study aims to develop a deep learning-based face recognition application with a real-time database to record attendance automatically. This approach is expected to make the attendance process more accurate, faster, and more convenient compared to traditional attendance methods. The study employs a quantitative method through primary data analysis from laboratory testing using dummy data. This testing aims to measure the accuracy of the face recognition system in automatically recording attendance. A face recognition application prototype has been successfully developed with real-time database integration using the Python programming language. The test results show that the application can recognize all faces in the database with a very high accuracy level. The system performance metrics indicate an accuracy of 99.1%, precision of 98.7%, recall of 98.7%, and F1-score of 98.7%. Additionally, the model has been implemented on an NVIDIA Jetson Nano mini-processor, demonstrating efficient operation on low-power hardware and real-time face recognition with optimal processing speed.
Application of DeLone and McLean Methods to Determine Supporting Factors for the Successful Implementation of Electronic Medical Records at Bali Mandara Eye Hospital Dharma, I Gusti Ngurah Aditya; Sukadarmika, Gede; Pramaita, Nyoman
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.968 KB) | DOI: 10.35877/454RI.asci1287

Abstract

Information technology in the health sector is currently an important factor in providing health services, especially hospitals. Bali Mandara Eye Hospital has implemented information technology in the registration process and bill issuance from 2015. Electronic Medical Record is a new application that will be implemented in 2021 at Bali Mandara Eye Hospital. Electronic Medical Record is a computerized system for recording patient health history. The implementation of electronic medical records at the Bali Mandara Eye Hospital for 1 year has many problems both in terms of regulations, systems and users. Therefore, the DeLone and McLean methods are used to determine the success rate of the implementation of electronic medical records. In this method, research is conducted on 6 variables, namely System Quality, Information Quality, Service Quality, Intention of Use, User Satisfaction and Net Benefits. From each variable, the researcher combines indicators from other researchers that are more appropriate for measuring electronic medical records. The results obtained that all statements submitted are valid. The success rate of electronic medical records at the Bali Mandara Eye Hospital was obtained at 3.22 or 80.50%. To be able to increase this value, it is recommended to improve the Information Quality, System Quality and User Satisfaction
Temporal Action Segmentation in Sign Language System for Bahasa Indonesia (SIBI) Videos Using Optical Flow-Based Approach I Dewa Made Bayu Atmaja Darmawan; Linawati; Sukadarmika, Gede; Wirastuti, Ni Made Ary Esta Dewi; Pulungan, Reza
Jurnal Ilmu Komputer dan Informasi Vol. 17 No. 2 (2024): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v17i2.1284

Abstract

Sign language (SL) is vital in fostering communication for the deaf and hard-of-hearing communities. Continuous Sign Language Translation (CSLT) is a work that translates sign language into spoken language. CSLT translation is done by changing continuous forms into isolated signs. Segmenting morpheme signs from phrase signs has several challenges, such as the availability of annotated datasets and the complexity of continuous gesture movements. The Indonesian Sign Language (SIBI) system follows Indonesian grammatical norms, including word formation, in contrast to other sign languages with rules derived from their spoken language. In SIBI, a word can consist of a root word and an affix word. Therefore, temporal action segmentation in SIBI is important to reconstruct the results of translating each sign into spoken Indonesian sentences. This research uses an optical flow approach to segment temporal actions in SIBI videos. Optical flow methods that calculate changes in intensity between adjacent frames can be used to determine the occurrence of sign movement or vice versa to determine the delay between sign movements. The absence of intensity differences between the two frames indicates the boundary between sign gestures. This study tested the use of dense optical flow on videos containing SIBI sentences taken from 3 signers. Evaluation is done on several parameters in the dense optical flow algorithm, such as threshold size, PyrScale, and WinSize, to obtain the best accuracy. This paper shows that the optical flow algorithm successfully performs segmentation, as measured by Perf and F1r. The experimental results showed that the highest Perf and F1r yields were 0.8298 and 0.8524, respectively.
Pertanian Vertikal Pintar: Peran IoT dalam Mewujudkan Keberlanjutan dan Efisiensi Sumber Daya Setiawan, Putu Ayu Citra; Indra ER, Ngurah; Sukadarmika, Gede
Majalah Ilmiah Teknologi Elektro Vol 24 No 1 (2025): ( Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i01.P03

Abstract

The rapid growth of population and urbanization poses significant challenges to global food security, particularly in urban areas. The conversion of agricultural land into residential and infrastructure zones reduces local food production capacity, while climate change exacerbates uncertainties in crop yields. To address these challenges, IoT-based vertical farming has emerged as an innovative solution to enhance efficiency and sustainability in food production systems. IoT technology enables vertical farming systems to monitor and control environmental variables such as temperature, humidity, lighting, and nutrient levels in real-time through sensors connected to artificial intelligence. The collected data is analyzed to optimize plant growth, minimize resource waste, and maximize crop yields while reducing energy consumption. Additionally, integrating IoT with automated irrigation systems and energy-efficient LED lighting further enhances water and electricity efficiency. From a sustainability perspective, IoT-based vertical farming allows for year-round food production without relying on vast land areas or favorable weather conditions.  This research further explores how IoT contributes to improving resource efficiency, environmental sustainability, and the economic and social impacts of vertical farming. . Based on the research findings, the implementation of IoT in vertical farming has proven to be highly beneficial in enhancing sustainability and resource efficiency in urban food production.  Through real-time monitoring and automated control systems, IoT enables precise regulation of key environmental factors such as temperature, humidity, lighting, and nutrient levels, ensuring optimal plant growth with minimal resource wastage.
Improved Cognitive Distortion Detection using IndoBERT and Important Words Approach for Bahasa Indonesia Suputra, I Putu Gede Hendra; Linawati, Linawati; Sukadarmika, Gede; Putra Sastra, Nyoman; Ari Wilani, Ni Made; Agus Setiawan, I Made
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3576

Abstract

Irrational or deviant thinking is a cognitive condition characterized by distortion in perception and reasoning. Such cognitive distortions are often reflected in an individual's speech and writing. Detecting distorted thinking at an early stage is crucial, as it can help mitigate the risk of severe depression. Cognitive Behavior Therapy (CBT) is one of the most widely studied approaches in psychotherapy research for depression. It has been recognized as an effective method for addressing cognitive distortions, depression, and negative thought patterns. Recent advancements in online CBT, particularly those incorporating Natural Language Processing (NLP) techniques, have significantly improved the diagnosis and treatment of cognitive distortions. Numerous studies have explored detecting and classifying cognitive distortions using machine learning models. Cognitive distortion detection is a form of short-text classification that presents a notable challenge – the limited availability of features that effectively capture a text's meaning or intent. Despite these challenges, BERT remains a consistently effective model across various text classification tasks. This study proposes a novel model for detecting cognitive distortions by introducing a new approach that combines sentence-level features from IndoBERT with keyword features derived from the class-based TF-IDF framework. The integration of these two feature sets demonstrated promising results, achieving an average accuracy of 0.787 and an F1 score of 0.769. These values represent improvements of 3.39% and 3.45%, respectively, compared to the IndoBERT-based detection model only. These findings highlight the potential of the proposed model as a valuable early detection tool to support online CBT programs.
Co-Authors A. Ibi Weking A.A Ngurah Amrita A.I. Weking Adhitya Bayu Rachman Pratama Adi Wiranata, K. N. Aditya Widhiatama, Ngakan Putu Agus Permana Putra Alit Winaya Andika Pranata, I Kadek Ari Wilani, Ni Made Budiastra, IN Dessy Hariyanti, NK Dewa Made Wiharta Dharma, I Gusti Ngurah Aditya Duman Care Khrisne Dwi Yoga Pratama Estry Nurya Savitri Fajar Purnama G M Arya Sasmita Gede Krisna Andika Putra Gede Manuaba, Ida Bagus gung eka paramarta I Dewa Gede Shunu Kendrawan I Dewa Made Bayu Atmaja Darmawan I G. A. K. Diafari Djuni Hartawan I G.A.P.R. Agung I Gede Bayu Tesa Tamara Putra I Gede Made Yogi Priyandana Adi Saputra I Gede Yogi Prawira Putra I Gst Agung Putu Raka Agung I Gusti Agung Gede Arya Kadyanan I Gusti Agung Komang Diafari Djuni Hartawan I Gusti Agung Putu Raka Agung, I Gusti Agung Putu I Gusti Ngurah Arya Tri Andhika I Gusti Ngurah Surya Winata I Ketut Sukawanana Putra I Komang Surya Adinandika I Made Agus Setiawan I Made Ari Pradipta I Made Arsa Suyadnya I Made Oka Widyantara I Nyoman Gede Arya Astawa I Nyoman Setiawan I Putu Diva Suryawan I Putu Eka Giri Setya Kresnadi Putra I Putu Firgiawan Prasetya I Putu Gede Gentha Kesuma Negara I Putu Gede Hendra Suputra I Putu Gede Yudha Pratama I Putu Sudharma Yoga I Putu Sudharma Yoga I Putu Yuda Pramana Putra I Wayan Mardika I Wayan Shandyasa I. N. Setiawan I.P.D.K Pramulia Joshua Fernaldy Sudarsono Juliawan Pawana, I Wayan Adi K.O. Saputra Kadek Teguh Purwanto Kamarudin, Nur Diyana Kendrawan, I Dewa Gede Shunu Komang Oka Saputra Linawati Linawati . Linawati Linawati Lintin, Yosep Tara M. A. Suyadnya Maisha Putra, I Gusti Agung Ngurah MHD. Reza M.I. Pulungan Ngurah Agus Sanjaya ER Ngurah Indra ER Ni Made Ary Esta Dewi Wirastuti Nugraha, I Putu Elba Duta Nyoman Pramaita Nyoman Putra Sastra Nyoman Wendy Saputra P. A. Satya Prabhawa Pande Ketut Sudiarta Pande Ketut Sudiartha Paramitha Sekar Putri A.P., Ni Made Puspitawati, Luh Eka Putra, Agus Permana PUTU FEBY PRADIPTA Putu Ratih Devyanti Ridho Yurham Rukmi Sari Hartati S.G.Y.P. Putra Saputra, Deva Dimastawan Setiawan, Putu Ayu Citra Wayan Gede Ariastina Widyadi Setiawan Willy Susanto Yoel Sthefianus Yoga Divayana Yoga, I Putu Sudharma Yohanes Yohanes