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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal SPEKTRUM SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) Journal of Electrical, Electronics and Informatics SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Jurnal Ilmiah Wahana Pendidikan Journal of Law and Social Politics Jurnal SPEKTRUM
Duman Care Khrisne
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Udayana
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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INTEGRASI FRAMEWORK LARAVEL DALAM PENGEMBANGAN PERANGKAT LUNAK SISTEM SMART PJU BERBASIS INTERNET OF THINGS Jaelani, Maulana; Shandyasa, I Wayan; Care Khrisne, Duman
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p27

Abstract

This study analyzes the use of Laravel structure in improving Internet of Thing IoT-based Smart Street Lighting software. This research applies the Software Development Life Cycle (SDLC) methodology approach with the waterfall method. The IoT Smart Street Lighting system is the focus in an effort to improve the efficiency of public street lighting. This methodology merger applies the Laravel structure in software development with structured steps. The vetting process begins with defining requirements, user interface (UI) plans, and data management. The execution stage involves applying Laravel for programming as per the framework's prerequisites. Thorough testing ensures functionality, security, and optimal execution. This approach enhances future development capabilities and program quality by combining Laravel technicalities and the waterfall approach, making the Intelligent Street Lighting System more responsive, robust, and efficient based on weather data.
PENERAPAN YOLOV5 DAN SORT DALAM DETEKSI KENDARAAN PADA PERSIMPANGAN BERSINYAL UNTUK PENYESUAIAN WAKTU LAMPU LALU LINTAS Sulton, Ahmad; Arya Ramadhan, Fauzul; Care Khrisne, Duman; Sudarma, Made; Shandyasa, I Wayan
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

The problems with traffic in many big cities is congestion. Detection and tracking of vehicles in traffic light queues is an important aspect of an efficient urban transport system. This research introduces a combined model that combines the YOLO (You Only Look Once) version 5 algorithm or commonly called YOLOv5, a high-speed object detection approach, with the SORT (Simple Online and Realtime Tracking) algorithm to efficiently detect and track vehicles. The method was tested using a dataset of real traffic recordings and the results showed excellent performance in detecting and tracking vehicles, with sufficient accuracy and speed for urban traffic applications. Using this approach, vehicle detection and tracking systems can improve traffic safety and optimize vehicle flow at road intersections.
APLIKASI MATCHMAKER ADOPSI HEWAN PELIHARAAN (OPet) BERBASIS ANDROID MENGGUNAKAN METODE MACHINE LEARNING Wijaya Kusuma Yasa, Kadek; Nunut Asihanna, Ester; Sudarma, Made; Care Khrisne, Duman; Arsa Suyadnya, I Made
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

The importance of pet adoption is very important in efforts to support the prevention of animal abandonment. Currently, the pet adoption system in Indonesia still largely relies on a manual approach. This process is carried out directly without paying attention to important aspects of the match between the pet and its adopter, which can result in a lack of information which has a long-term impact on the abandonment or return of the pet. Based on these problems, this research aims to design and create an application that can facilitate the pet adoption process. This application was built for Android-based mobile devices by utilizing Machine Learning methods to provide personalized pet recommendations based on user preferences using Content-Based Filtering and making it easier to identify pet breeds from photos uploaded or selected by users using Image Classification. The pet data collected was sourced from the Kaggle, TensorFlow, and GitHub websites. It is hoped that the results of this research can overcome the problem of pet adoption in a better and more sustainable way and will not only provide benefits for abandoned animals, but can also reduce cases of animal abandonment due to irresponsible owners.
PERANCANGAN GAME VISUAL NOVEL SEBAGAI SARANA EDUKASI BENCANA TSUNAMI Putra Dharma, Wisnu Wardhana; Khrisne, Duman Care; Arsa Suyadnya, I Made
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

Educational games about early warning against tsunami disasters can be of interest to school children at an early age to expand information about prevention or develop an early warning system for tsunami disasters. This research aims to make a visual novel role-playing game as a means of educating about the tsunami disaster and finding out the usefulness of games in providing information about the tsunami disaster. Using Ren'py software, the tsunami disaster educational Visual Novel Game was developed and built intelligently, resulting in an application that runs on Windows and Android-based devices. With an average score of 86.1, the System Usability Scale test findings. The design of a Visual Novel Game as a means of educating about the tsunami disaster is considered very good.
RANCANG BANGUN SISTEM CHATBOT PEMESANANMENU MAKANAN DAN MINUMAN PADA RESTORAN BERBASIS TELEGRAM BOT DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING Nur Adl, Waliyin; Dwika Prihambodo, Prakoso; Care Khrisne, Duman; Arsa Suyadnya, I Made; Purnama, Fajar
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

In the era of technological advancement, especially in computer and artificial intelligence (AI), there is a significant impact on various fields, including the Food and Beverage business. The use of chatbots with AI technology enables human-computer interaction in natural language, facilitating efficient ordering, information, and customer services. Chatbots are based on Natural Language Processing (NLP) and are trained using Machine Learning techniques such as Artificial Neural Networks (ANN), with TensorFlow as the main tool. This provides ease, accuracy, and efficiency in customer service. From the conducted research, NLP- based reservation chatbots perform well and receive positive feedback from users in most aspects. Keywords: Chatbot, Artificial Intelligence (AI), Artificial Neural Network (ANN), NLP
Design Web Dashboard Monitoring Plant Factory Experimental Garden Faculty Of Agriculture, Udayana University Suartama, Putu Dandy; Amrita, Anak Agung Ngurah; Khrisne, Duman Care
Journal of Law and Social Politics Vol. 1 No. 3 (2023): Journal of Law and Social Politics
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jlsp.v1i3.26

Abstract

Information technology is now always experiencing a rapid increase in its use, one example is the website. Website is a collection of web pages, summarized in a domain, which is located in the World Wide Web (WWW) on the internet. This information media is useful in various fields, one of which is in agriculture. Where the information provided can help farmers in providing better results. One of the problems in agriculture that can be seen is related to the tropical climate in Indonesia. This greatly affects environmental conditions and can cause farmers to experience crop failure. One solution that can be done in this scope is with a plant factory. Where the plant factory is a technological concept that facilitates the formation of the right and good environment for plant growth, easy to control, does not require large land and is applied indoors. In its application, the plant factory still has shortcomings related to its information media. In this study, a monitoring website dashboard was designed to function as a medium of information on the plant factory. In system design, where the website is built using several components such as HTML, PHP, MySQL and Laravel Framework. To determine the performance of the system, testing is carried out with the black box method which aims to test on application details such as the appearance of the application, functions in the application, and the suitability of the function flow with the desired process then with the system usability scale (SUS) method. Where the measurement of the quality of web-based information systems, to evaluate the level of user satisfaction with the system services.
Optimizing traffic lights at unbalanced intersections using deep reinforcement learning Khrisne, Duman Care; Sudarma, Made; Giriantari, Ida Ayu Dwi; Wiharta, Dewa Made
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp2991-3002

Abstract

Unbalanced intersectional traffic flow increases vehicle delays, fuel consumption, and pollution. This study investigates the application of deep reinforcement learning (DRL) to optimize traffic signal timing at the Pamelisan intersection in Denpasar, Indonesia. Real-world traffic data were incorporated into a SUMO microsimulation environment to train DRL agents using the deep Q-network (DQN) algorithm. Experimental results show that DRL-based optimization reduced the average vehicle waiting time from 594.49 seconds (static control) to 169.44 seconds and 173.10 seconds for agents trained without and with noise, respectively. The average vehicle speed remained stable at 5.6–5.97 m/s across all scenarios, indicating enhanced traffic efficiency without adverse effects. The findings underscore the effectiveness and adaptability of DRL in addressing traffic inefficiencies, optimizing them, and offering a robust solution for dynamic traffic management at unbalanced traffic intersections in urban areas.
ANALISIS UI/UX PADA DESAIN OASE MENGGUNAKAN METODE HEURISTICEVALUATION DAN WEBUSE Putra Sentana, Kadek Wibawa; Faridzky, Fadel; Sudarma, Made; Suyadnya, I Made Arsa; Khrisne, Duman Care
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 1 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10467416

Abstract

Learning Management System (LMS) is a system to manage learning and lecturer-student interaction. Udayana University has an LMS called OASE, which supports online and blended learning. OASE has some UI/UX issues such as login problem, rigid interface, and slow upload. UI/UX usage is important for website performance. UI/UX analysis involves Heuristic Evaluation and WEBUSE. Heuristic Evaluation focuses on appearance, while WEBUSE on user experience. OASE analysis with these methods aims to improve performance and measure UI/UX. This research aims to analyze the User Interface (UI) and User Experience (UX) of the OASE e-learning service at Udayana University Bali. The methods used in this research are Heuristic Evaluation and WebUSE to identify potential problems and assess user satisfaction in using the e-learning platform. The results of this evaluation will identify errors or problems that exist in layout, navigation, interaction, and other design aspects. Furthermore, a WEBUSE analysis was conducted by collecting data from users of the OASE e-learning service. The participants involved in this research are students and lecturers who have used OASE. The results of this research will provide a comprehensive picture of potential problems in the UI/UX of the OASE e-learning service at Udayana University Bali. The findings of the Heuristic Evaluation will serve as a guide for design improvements, while the WebUSE analysis will provide insights into user preferences for further improvements.
REKAYASA SISTEM PRESENSI KLINIK KESEHATAN BERBASIS APLIKASI MOBILE I Made Cakra Pustaka1; I Ketut Putra Swastika; I Kadek Agung Bagus Satria Bumi Kelana; Made Sudarma; I Made Arsa Suyadnya; Duman Care Khrisne
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p4

Abstract

Manual attendance systems in health clinics are often ineffective, reducing service quality, and increasing operational costs. This study designed an integrated digital attendance system with a mobile application for medical personnel and an admin website aimed at improving the efficiency and accuracy of attendance management. Development followed the Waterfall SDLC model, while testing included Black-Box Testing, Cognitive Walkthrough (CW), and System Usability Scale (SUS). The mobile application supports in-clinic/out-of-clinic attendance (Wi-Fi validation, geolocation, selfie photos, documents), leave requests, work schedules, attendance recaps, and pay slips. The admin website facilitates employee data management, attendance and leave validation, work schedule creation, and salary and attendance recaps. Black-Box Testing results showed success in all functional scenarios; CW recorded 96% effectiveness (mobile) and 98% (website) with very fast efficiency; SUS scores of 76.42 and 76.07, respectively, indicating good usability; and API testing proved smooth data integration. This system has been proven to be functional, effective, efficient, and ready to be implemented in health clinics.
RANCANG BANGUN SISTEM MONITORING PERTANIAN HIDROPONIK BERBASIS IoT DAN APLIKASI MOBILE (HYDROTECH) I Putu Prasna Mahardika; Putu Pande Deva Ryana Putra; Duman Care Khrisne; I Made Arsa Suyadnya
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p13

Abstract

Urban agricultural land conversion encourages the use of hydroponic systems. However, people's busy lives make it difficult to monitor the nutrition and environment of hydroponic plants. This study developed a monitoring system called Hydrotech, an IoT-based hydroponic monitoring system with an ESP32 microcontroller and pH, TDS, temperature (DS18B20), and water level sensors. Data from the sensors is sent to Firebase and displayed through a mobile application. The method used is an experiment and literature study. Testing was carried out by planting lettuce using the Hydrotech system to evaluate its performance. Primary data was obtained from device testing which includes data from research on the sensors used, while secondary data was obtained from previous research sensor data as a comparison with the current study. The results of this study indicate that the four sensors used, namely the pH, TDS, water level, and temperature DS18B20 sensors, can function properly. Hydrotech is also equipped with an Android application to display sensor data in real time and present historical data for each sensor used for further analysis on hydroponic plants. The Hydrotech application is also filled with a planting calendar as a reminder of planting and harvesting times for hydroponic plants. This Hydrotech monitoring system helps city residents manage hydroponics optimally and efficiently in terms of both energy and time.
Co-Authors A.A Ngurah Amrita ADITYA PRATAMA Agma Tinoe Mauludy Agus Wisnu Kusuma Nata Ahmad Sulton Anak Agung Dewi Sintyarianti Ardy Wijaya Arya Mertasana , Putu Arya Ramadhan, Fauzul Boy Aribana Depari Budi Dharma Prabhawa, I Dewa Gede Cokorda Gde Wahyu Pramana Damayanti, Dewi Ayu Sulistyo Darma Putra Dewa Made Wiharta Dwika Prihambodo, Prakoso Fajar Purnama Faridzky, Fadel Ferry Angga Irawan Gede Edy Purna Sastriya Gede Sukadarmika Gusman Saleh, Arya Hartawan, I Gusti Agung Komang Dlafari Djuni Hendrawati, Theresia I Dewa Gede Shunu Kendrawan I G. A. K. Diafari Djuni Hartawan I Gede Agus Satya Dharma I Gusti Made Andi Dipayana I Kadek Agung Bagus Satria Bumi Kelana I Kadek Arya Wiratama I Kadek Yuda Setiadi I Ketut Putra Swastika I Ketut Wijaya I Made Arsa Suyadnya I Made Cakra Pustaka1 I Made Rian Yuliawan I MADE SUDARMA I Made Sukarsa I Made Wismadi I Made Yudi Adnyana Putra I Nyoman Sumitra Tanaya I Putu Gede Mahendra Sanjaya I Putu Prasna Mahardika I Wayan Adi Setyadi I Wayan Shandyasa Ida Ayu Dwi Giriantari Ida Bagus A. Swamardika Jaelani, Maulana Jauzaa Maylia Suhendro Kadek Utari Widiarsini Karda, Putu Adistyanda Timoti Raja Kendrawan, I Dewa Gede Shunu Komang Oka Saputra Krisna Hany Indrani Lie Jasa Made Ngurah Satya Wibawa Putra Made Sudarma Made Sudarma Made Surdarma Made Surdarma Mkwawa, Is-haka Ni Made Ary Esta Dewi Wirastuti Nunut Asihanna, Ester Nur Adl, Waliyin Nyoman Putra Sastra Purna Sastriya, Gede Edy Putra Dharma, Wisnu Wardhana Putra Sentana, Kadek Wibawa Putra, I Made Yudi Adnyana Putri Sintya Dewi Putu Adistyanda Timoti Raja Karda Putu Agus Indra Purnama Putu Arya Mertasana Putu Aryasuta Wicaksana Putu Pande Deva Ryana Putra Risqa Purma Pratama Salsabila, Unik Hanifah Sebayang, Deo Armanta Suartama, Putu Dandy Surya Puja Anggara Tjok Gede Indra Partha Widyadi Setiawan Wijaya Kusuma Yasa, Kadek Yogi Prawira Putra