Garuda - Garba Rujukan Digital

Dampak Cuaca Terhadap Quality of Service Wireless pada Sistem First Person View Agus Suhendar
Jurnal Manajemen Informatika (JAMIKA) Vol 11 No 1 (2021): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v11i1.3328

Streaming is the process of sending data continuously or continuously that be broadcast over the internet. FPV (First-person view) is a method used to control radio control vehicles from the pilot. Analysis of live video streaming service on FPV aeromodelling with standard configurations to determine the maximum results for live video streaming service on FPV aeromodelling. Distance measurements and environmental conditions are also necessary to determine the performance of live video streaming. Then performed a Quality of Service (QoS) analysis, including measurement of delay, jitter, and throughput using Wireshark. From the tests that have been carried out, the comparison of the best value between the measurement of data delay with a value of 0.0085 ms, for a jitter of 20.294 ms and throughput of 0.009 ms is obtained, all of which are in accordance with the standards recommended by ITU-T, so that the overall QoS obtained gives sufficient results.satisfying.

Rain conditions affect the transmission of Streaming video data on Aeromodelling Agus Suhendar; Murti Retnowo
Compiler Vol 12, No 1 (2023): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v12i1.1604

Streaming is the process of sending data continuously that can be broadcast over the internet. FPV (First-person view) is a method used to control radio control vehicles from the pilot. Analysis of live video streaming service on FPV aeromodelling with standard configurations to determine the maximum results for live video streaming service on FPV aeromodelling. Distance measurements and environmental conditions are also necessary to determine the performance of live video streaming. Then, the performed on a Quality of Service (QoS) analysis, including measurement of delay, jitter, and throughput using Wireshark. From the tests that have been carried out, the comparison of the best value between the measurement of data delay with a value of 0.0085 m/s, for a jitter of 20.294 m/s and a throughput of 0.009 m/s is obtained, all of which are in accordance with the standards recommended by ITU-T. So that, the overall QoS obtained gives sufficient results.

Aplikasi Mobile Augmented Reality Sebagai Media Pembelajaran Senjata Tradisional Jawa dengan Metode Pengembangan RAD Visco Adam Bramasta; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1345

Traditional weapons are one of the cultural heritages in Indonesia. Culture itself is a way of life and human identity. We must continue to protect and preserve culture so that it does not become extinct over time. Traditional weapons are a cultural heritage that needs to be preserved, one way to preserve them is by teaching school students the history of the traditional weapon culture of each region. Currently, the method of learning and introducing students to the history of traditional weapons is quite monotonous and boring, such as students can study manually through books to find out the history and origins of traditional weapons, or have to go to museums to see the forms of traditional weapons. However, along with the development of modern times, technology can now be used in various ways, one of which is as a learning medium. Therefore, the author created an application for introducing traditional weapons based on mobile augmented reality to increase students' interest in learning about traditional weapons culture on the island of Java. The author took advantage of the opportunity to create an information application about traditional weapons culture on the island of Java with a 3-dimensional augmented reality feature which is useful as a medium for introduction, knowledge and learning about traditional weapons on the island of Java. In making this application the author also used several tools such as unity, vuforia database and blender as a medium for creating 3-dimensional objects

Aplikasi Pembelajaran Anatomi Organ Dalam Manusia Berbasis Android dengan Teknologi Augmented Reality Lintang Ardi Avdillah; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1368

Anatomy is the understanding of the structure of organs in the human body. This research explores the application of Augmented Reality (AR) in the context of teaching and understanding human anatomy. By utilizing devices such as smartphones or tablets, users can experience a more interactive approach to learning anatomy. Digital content, including 3D models and contextual information, can be overlaid on real objects or physical anatomy models through AR displays. The use of AR in anatomy education not only enhances student engagement but also enables a profound visualization experience. Users can directly interact with anatomical structures to gain a better understanding. Previously, students learned through manual textbooks, resulting in less captivating and interactive learning experiences. Hence, an anatomy learning application was developed using AR technology to overcome these challenges.The future of AR in anatomy education promises improvements in interactive content development, the incorporation of up-to-date data into 3D models, and the potential for enhanced remote collaboration through AR. By continuously exploring the potential of this technology, education can achieve a more effective and engaging approach to anatomy learning. This research concludes that facilitating learning by allowing students to recognize visualizations of each organ in the human body in 3D is essential. By continually exploring innovations in AR integration, we can enhance students' understanding of human anatomy structures in unprecedented ways.

Perancangan Aplikasi Pengelolaan Data Karyawan Pada Perkebunan Kelapa Sawit Berbasis Android Mengunakan Metode Waterfall Ikhsan Akbar; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1418

The main purpose of making this system to help KUD Sedyo Mulyo in managing employee data more efficiently and effectively. Palm Oil Employee Data Collection Information System must be developed and implemented. The oil palm plantation company KUD Sedyo Mulyo will be the subject of a case study that will be used in this research. KUD Sedyo Mulyo currently faces a number of problems in managing employee data. Some of the problems include data collection, maintenance, and manual processing of employee data. As a result, an information system that can assist them in overcoming these problems is needed. Requirement analysis, system design, software development, and implementation are the methodologies that will be used in this research. KUD Sedyo Mulyo will find specific needs in this case to start the needs analysis stage of the worker registrar. Next, the system design is done. This includes building the database, user interface, and system features. After the system design is complete, software development is carried out that meets the specifications. After that, the system will be tried out at the KUD Sedyo Mulyo production site and tested to ensure that it is successful. This research will produce an application for Palm Oil Employees that will help KUD Sedyo Mulyo manage its employee data more efficiently and effectively. With this system, KUD Sedyo Mulyo will be able to perform data collection, maintenance, and processing automatically, which will reduce human errors and optimize the use of resources

Optimasi Registrasi Kelas Persiapan Perkawinan Katolik Berbasis Mobile Elisabeth Kurnia Andini; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1519

Frequently, prospective couples encounter challenges when dealing with the registration process for Catholic marriage preparation classes. These difficulties stem from factors such as differences in domicile between the prospective spouses, time estimations, and significant costs associated with gathering the required documents and submitting data to the Church's secretariat. The primary objective is to establish a mobile-based optimization system for registering Catholic marriage preparation classes. This system is designed to simplify the registration process, allowing registrations from any location with a robust internet connection and the flexibility to adhere to the Church's specified deadlines. The proposed model focuses on enhancing the efficiency and effectiveness of the marriage preparation class registration system. It enables the display of class schedules and registration forms, facilitates document uploads, and manages registrant data using the Unified Modeling Language (UML). The resulting system offers a more practical and straightforward experience via the mobile platform by implementing the waterfall method and employing qualitative data processing techniques. Subsequently, the system undergoes black-box testing to ensure its functionality. The prototype for optimizing mobile-based Catholic marriage preparation class registration is developed using Android Studio tools and the Kotlin programming language. In this research, the application will be made to have a more practical and simple process using a mobile-based system that can display information on the schedule of marriage preparation classes and registration forms, provide a means for prospective brides to upload the required files, and store data information on marriage preparation class registrants.

Extreme Programming Method Utilization to Develop a Mobile-Based Reservation Application Gabriel Nicolas Sumampow; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1520

Several factors, such as the surge in the number of customers during the weekends, pose a considerable challenge for the staff when it comes to reservation management. Gravito Coffee still provides conventional reservation services, including the requirement for customers to physically visit Gravito Coffee to make a reservation, and the crowded environment often makes it difficult for customers to do so. Moreover, the absence of information media results in a lack of information available to the customers, and the reservation process is still reliant on manual bookkeeping. Therefore, a system is needed to enhance the efficiency of the reservation process. The reservation system at Gravito Coffee is a mobile-based system, utilizing mobile technology to simplify information retrieval. In the development process, this system employs the Extreme Programming (XP) method with an Object-Oriented approach. The stages of this method begin with planning, coding, and testing stage using black box testing. Additionally, this system can have a significant impact on the advancement of the field of computer science. Based on the results of the implemented method and system testing, the created mobile-based reservation system can help customers make reservation, thereby increasing time efficiency and assisting waiters in taking notes. It is hoped that this application will make the process of ordering at the cafe more convenient for customers, and it is expected that this ease of ordering will also contribute to increasing customer satisfaction.

IMPLEMENTASI MODEL CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK DETEKSI KESEGARAN BUAH PISANG BERDASARKAN CITRA KULIT Alvina Putri Damayani; Agus Suhendar
Jurnal Ilmiah Informatika Vol. 10 No. 2 (2025): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v10i2.73-79

The assessment of banana freshness is currently still done manually through visual observation, touch, and smell. This method is subjective and prone to errors in perception between individuals, which can cause losses for farmers, traders, and costumers. Inaccuracies in assessing freshness levels can result in the distribution of substandard fruit, reduced market competitiveness, and waste of resources. To address these issues, this study designed and implemented a banana freshness classification system using a Convolutional Neural Network (CNN) algorithm. The system was develoved in the form of a Python and Flask-based website. Equipped with a Text-to-Speech (TTS) feature to improve accessibility for users with visual impairments. The research stages included problem identification, banana image data collection, image preprocessing (resize, normalization, augmentation), CNN architecture design, model training, implementation, and testing. The dataset consist of 1,664 images classified into two categories: fresh and not fresh. The implementation result show that the system can classify banana freshness in real-time through visual and audio displays. This system has the potentional to improve the efficiency and objectivity of classification, as well as support the digitization of the agricultural sector.

KLASIFIKASI KESEGARAN IKAN TONGKOL BERDASARKAN CITRA MATA BERBASIS CONVOLUTIONAL NEURAL NETWORK (CNN) Fitria Ningsih; Agus Suhendar
Jurnal Ilmiah Informatika Vol. 10 No. 2 (2025): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v10i2.88-94

It Fish freshness is a crucial factor in ensuring food quality and safety. However, the conventional assessment process still relies on human observation, which is subjective supporting system, the risk of distributing non-fresh fish to consumers remains high, potentially affecting public health and consumer trust in fishery products. To address this issue, a fish freshness classification system based on eye image analysis using the Convolutional Neural Network (CNN) method was developed. The system development stages include collecting fihs eye image data, labeling, image preprocessing, CNN model training, and implementing the system in an convolution and pooling layers to extract visual features from the images. The initial testing results show that the system can classify fish freshness into two categories, Fresh and Not Fresh, with a high level of accuracy. This system is expected ti assist the public and fishery industry practitioners in evaluating fish quality more accurately ang efficiencly.

DETEKSI PENYAKIT CITRUS VEIN PHLOEM DEGENERATION (CVPD) PADA DAUN JERUK MENGGUNAKAN METODE SEGMENTASI K-MEANS DAN ARSITEKTUR EFFICIENNET Mawar Pratama sari; Agus Suhendar
Jurnal Ilmiah Informatika Vol. 10 No. 2 (2025): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v10i2.80-87

Citrus vein phloem degeneration (CVD) is a devastating disease of citrus plants and seriously impacts crop quality. Although manual detection is feasible, this method faces many challenges, such as the similarity of early symptoms between healthy and infected leaves. Therefore, manual detection is time-consuming and inefficient. Therefore, an accurate and efficient automatic detection method is needed. This study aims to combine two methods: the K-Means segmentation method and the EfficientNet architecture to build an automatic detection model for CVD in citrus leaves. This method aims to improve the classification accuracy of citrus leaf images. This study is divided into two stages: the first stage uses the K-Means algorithm for image segmentation, and the second stage uses the EfficientNet model for classification. The K-Means segmentation method is used to separate the leaf surface from the background, focusing only on the parts of the leaf that show disease symptoms. The segmentation results are then processed in the second stage using the EfficientNet model. The EfficientNet model is known for its efficient feature extraction and excellent performance in recognizing complex visual patterns. The results showed that combining the K-Means segmentation method with the EfficientNet architecture significantly improved the accuracy of CVPD detection compared to a traditional CNN model without segmentation. This system is expected to assist farmers in detecting CVPD and support the implementation of smart agriculture technology in automated plant health monitoring.

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