Journal of Embedded Systems, Security and Intelligent Systems
The Journal of Embedded System Security and Intelligent System (JESSI), ISSN/e-ISSN 2745-925X/2722-273X covers all topics of technology in the field of embedded system, computer and network security, and intelligence system as well as innovative and productive ideas related to emerging technology and computer engineering, including but not limited to : Network Security System Security Information Security Social Network & Digital Security Cyber Crime Machine Learning Decision Support System Intelligent System Fuzzy System Evolutionary Computating Internet of Thing Micro & Nano Technology Sensor Network Renewable Energy Wearable Devices Embedded Robotics Microcontroller
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<![CDATA[Perancangan Smart Trash Limbah Rumah Makan Untuk Pemenuhan Pakan Maggot Berbasis IOT ]]>
<![CDATA[Muhammad Syafaat]]>;
<![CDATA[Fizar Syafaat]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.595
<![CDATA[The increase in population in urban areas causes food waste production to continue to increase. In 2020, Indonesia has entered an emergency signal for food waste production. Losses from unmanaged food waste reached Rp. 1,011,743,415 annually. The negative impact of food waste which is dominated by organic type waste can cause environmental pollution because it produces dangerous biogas. Most food waste comes from restaurants resulting from leftover food from visitors and leftover ingredients from kitchens that are not managed properly by restaurant owners. In developing alternative feed innovations for several livestock, it was argued that BSF maggot is a good source of natural nutrition for livestock, then the feed from maggot itself comes from organic ingredients in its breeding, but maggot breeders still have difficulty meeting feed from maggot because it only relies on organic feed from household waste around the farm, so the potential for reducing food waste which is dominated by organic waste from restaurants can be utilized by maggot breeders. This study designed a smart trash technology or smart trash bin that can sort organic and non-organic waste based on the internet of things using the Long Range (LoRa) module which will later send data on the availability of organic waste to maggot breeders via a mobile application. The test results from this study show that the entire smart trash system functions properly through blackbox testing, besides that an analysis of data transmission is carried out with the overall Quality of Service results being recommended as good or satisfactory.]]>
<![CDATA[Interface Aplikasi Human Rights Notification dengan Pendekatan KnowledgeThinking ]]>
<![CDATA[Andi Nurwahida]]>;
<![CDATA[Andi Akram Nur Risal]]>;
<![CDATA[Sugeng]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.610
<![CDATA[Penelitian ini bertujuan untuk merancang dan membuat desain user interface dan user experience (UI/UX) pada aplikasi Human Rights Notification menggunakan metode design thinking serta mengevaluasi desain UI/UX aplikasi tersebut guna memastikan aplikasi tersebut dapat digunakan dengan mudah dan efektif serta memenuhi kebutuhan pengguna. Metode penelitian yang digunakan adalah design thinking meliputi lima tahap yaitu, empathize, define, ideate, prototype, dan testing. Teknik pengumpulan data yang digunakan adalah dengan interview (wawancara), angket, dan studi pustaka. Berdasarkan hasil analisis data dengan menggunakan System Usability Scale (SUS), mendapatkan skor rata-rata yaitu 81. Hasil penelitian ini menunjukkan bahwa sistem atau produk yang diuji memiliki tingkat ketergunaan yang dapat diterima/acceptable, berada pada kelas B dari skala penilaian, dan mendapat penilaian sangat baik. Jadi, dapat disimpulkan sistem atau produk yang diuji menunjukkan kualitas yang tinggi dalam hal penggunaan dan kegunaannya.]]>
<![CDATA[Pengaruh Implementasi Garret's Element Terhadap Aksesibilitas Website Rumah Sakit Bagi Disabilitas Netra ]]>
<![CDATA[Andi Jamiati Paramita]]>;
<![CDATA[Mirandha Ariesca]]>;
<![CDATA[Muh. Ihsan Ramadhan]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.628
<![CDATA[Hospital website accessibility is still a problem that is often faced by users with disabilities, especially the blind who have special needs related to vision (visual). The main obstacle for users with visual disabilities is the complex information architecture so that the use of the features available on the hospital's website has not been fully enjoyed. Likewise, the information presented by the hospital website interface cannot be conveyed to users with visual disabilities. This is because there are still many interface designs (UI/UX) for hospital websites that are not based on the needs of users with disabilities. This study aims to see the effect of implementing Garret's Element on hospital websites for users with visual disabilities by applying Garret's UX Element method to design hospital website interfaces through 5 stages, namely Strategy Plane, Scope Plane, Structure Plane, Skeleton Plane and Surface Plane. Measurements were taken by observation and the results obtained were that users stated that designing the UIUX of a hospital website by applying Garret's UX Elements required less time to obtain information than websites that did not apply this method.]]>
<![CDATA[Rancang Bangun Sistem Monitoring Aktivitas Pelanggan berbasis Citra Menggunakan Optical Flow ]]>
<![CDATA[Achmad Zulfajri Syaharuddin]]>;
<![CDATA[Andi Hutami Endang]]>;
<![CDATA[Dimas Aditya Alfarizi]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.699
<![CDATA[This article aims to detect visitors using the optical flow method approach. It is based on transaction activities that are not freed from human life especially on the basic needs of making the spending trend in physical stores has begun to be crushed by the competition of online stores. Several factors are the inability of stores employees in serving the buyer up to the process of non-instant payment makes the physical store threatened that can imply on physical assets such as display cabinets, cash machines, to buildings. Based on the problem, the research was carried out by creating a system that can detect the activity of visitors on the store. The research was done by processing three video inputs in different cases. With the application of pre-processing processes and the implementation of optical flow methods, results were obtained that the system was able to detect the movement of visitors well.]]>
<![CDATA[Implementasi Multisensor Dengan Aplikasi Kalla Smart Living Pada Pengembangan Bisnis Properti Hunian Cerdas Berbasis IoT ]]>
<![CDATA[Syarif Dinan Yahya]]>;
<![CDATA[Muhammad Syafaat]]>;
<![CDATA[Fizar Syafaat]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.702
<![CDATA[In the ever-growing digital era, smart residential properties based on the Internet of Things (IoT) have become a major highlight in the development of the property industry. Kalla Smart Living Application Development is one of the leading solutions to increase efficiency, security and comfort in the context of smart housing. The research methodology used includes a comprehensive series of stages. First, research begins with designing this application which will be implemented within the existing Kalla Smart Living framework. This involves identifying user needs, selecting appropriate features, as well as planning an intuitive user interface. The testing process is a key step in this research. Functional testing ensures that the application meets specifications and functions properly. The test and analysis results are used to evaluate the impact of developing the Kalla Smart Living application on residents' comfort in using this application. So the final results of this research provide valuable insight into the contribution of this application in supporting smart residential property businesses. The resulting recommendations can be used by property developers and other stakeholders to continue implementing and maintaining this application. From the blackbox testing results, it was found that the gas sensor, fire sensor and air quality sensor can be connected well with the Kalla Smart Living application.]]>
<![CDATA[Analisis Kinerja Algoritma Machine Learning Untuk Deteksi Penyakit Daun Teh Dengan Particle Swarm Optimization ]]>
<![CDATA[Mustikasari]]>;
<![CDATA[Abdur Rahman Ramli]]>;
<![CDATA[Andi Khalil Gibran]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.708
<![CDATA[Diseases in tea leaves are one of the causes of a decline in the quality and quantity of tea production, appropriate techniques and treatments are needed to detect diseases that can attack tea leaves. This research aims to use the best techniques to help tea farmers detect tea leaf plant diseases early. This research uses Artificial Intelligence-based techniques that apply Machine Learning algorithms to detect diseases in tea leaves. One of the challenges in implementing Machine Learning algorithms is the difficulty of finding parameters that can maximize algorithm performance. In this research, the machine learning algorithms used are Support Vector Machine (SVM) and Gradient Boosting with parameter optimization using Particle Swarm Optimization (PSO) to find the best parameters. There are 5867 images of tea leaves consisting of five types of diseases, namely Algal Spot, Brown Light, Gray Blight, Helopeltis, Red Spot, and healthy leaves used in this research. The research results show that the machine learning algorithm’s performance experienced an increase in accuracy of around 2-4% after being optimized using PSO. The accuracy obtained with the standard SVM was 87%, after optimization, it increased to 91.68%. Meanwhile, the standard Gradient Boosting obtained an accuracy of 89%, and after optimization with PSO, the accuracy increased to 91%. This research is expected to minimize the work of experts and help detect diseases on tea leaves quickly.]]>
<![CDATA[Analysis Of Increasing Types Of Online Fraud And Level Of Public Awareness In Indonesia ]]>
<![CDATA[Hans Marwi]]>;
<![CDATA[Inong Oskar]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.722
<![CDATA[Technological developments have various impacts on society, both positive and negative. With the increasingly rapid growth of e-commerce and the variety of applications and sites available, the number of online transactions is also increasing. But on the other hand, the level of crime that occurs on the Internet is also increasing. Online fraud is increasingly occurring with various types and media used. This research aims to find ways to improve security so that public interest in online transactions can increase. Apart from efforts by business people and legal and government officials, the level of public awareness also needs to be increased. The research method was carried out using literature methods, observation and direct involvement with the activities of online fraudsters, surveys of respondents from various demographics, conducting interviews and simulating fraud on several respondents. The research results show varying levels of awareness, but there are still those who are deceived. The researcher proposes several solutions at the end of the article.]]>
<![CDATA[Improved Traffic Forecasting in Transportation Systems Using Deep Learning Algorithms with Tuning Parameters ]]>
<![CDATA[Marwan Ramdhany Edy]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.746
<![CDATA[In this study, we evaluated the performance of two classification models, namely Random Forest and XGBoost, on a multi-class classification task. The evaluation results showed that both produced excellent accuracy, with XGBoost achieving an accuracy of 1.00 and Random Forest around 0.99. However, Random Forest requires special attention to improve recall in some classes. These results provide important insights in the selection of classification models that fit the needs of the task. In the context of multi-class classification tasks, model performance is highly relevant and needs to be carefully calculated.]]>
<![CDATA[The Role of the Use of IoT (Internet of Things) Microcontrollers in the Electronics vocational education sector in Practicum Learning ]]>
<![CDATA[Wahyudi]]>;
<![CDATA[Muhammad Yahya]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.921
<![CDATA[The Internet of Things (IoT) has emerged as a transformative force in various industries, and its application in the field of electronics education has the potential to revolutionize practical learning experiences. This research explores the important role of IoT microcontrollers in the vocational education sector, particularly in electronics, to enhance hands-on learning during practical sessions. This research investigates the integration of IoT microcontrollers into the curriculum of electronics vocational education programs, aiming to assess their impact on student engagement, skill development, and overall learning outcomes. Through a combination of qualitative and quantitative research methods, this study evaluates the effectiveness of incorporating IoT microcontrollers in practical exercises, comparing traditional methods with IoT-enhanced approaches. The findings of this study contribute valuable insights in the optimization of practical learning experiences in electronics vocational education.]]>
<![CDATA[Optimisasi Sumber Energi Listrik Dari Mesin Pengering Rak Telur Menggunakan Modul Termoelektrik Generator: Indonesia ]]>
<![CDATA[Sudarmanto Jayanegara]]>;
<![CDATA[Dary Mochamad Rifqie]]>;
<![CDATA[Samnur]]>;
<![CDATA[Akmal Hidayat]]>;
<![CDATA[Muhammad Hasim S]]>
<![CDATA[ Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Program Studi Teknik Komputer ]]>
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DOI: 10.59562/jessi.v4i2.978
<![CDATA[Energi listrik ialah energi yang kompleks diubah bentuk ke energi yang lain. Energi listrik sangat dibutuhkan oleh manusia untuk membantu pekerjaannya. Energi listrik ini dapat dihasilkan dari konversi energi panas. Energi Panas ini dihasilkan dari plat permukaan cerobong mesin pengering rak telur. Energi panas tersebut diubah menjadi energi listrik dengan menggunakan konsep efek seebeck. Penelitian ini dilakukan untuk mengetahui karakter dari modul TEG sebagai sumber energi listrik dalam memanfaatkan panas pada dinding cerobong suatu mesin pengering rak telur yang menggunakan sekam padi sebagai bahan bakar tungku mesin. Pengujian dilakukan dengan cara memanfaatkan panas cerobong bawah yang terpisah oleh sebuah Heat Excanger (HE) dengan kecepatan blower tungku pembakaran 2600 rpm dan kecepatan blower lingkungan 2800 rpm dengan jumlh termoelektrik yang digunakan sebanyak 36 buah. Hasilnya menunjukkan bahwa modul TEG pada cerobong bawah diperoleh perbedaan temperatur (∆T), perbedaan tegangan (∆V) dan daya (P) masing-masing ∆T 73.25 °C ; ∆V 12.26 Volt ; P 1.312 Watt.]]>
