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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi JOIN (Jurnal Online Informatika) Journal of Electronics, Electromedical Engineering, and Medical Informatics Media Jurnal Informatika Jurnal Pengabdian Masyarakat Prosiding SeNTIK STI&K
Suheryadi, Adi
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Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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PENERAPAN SISTEM EVALUASI PEMBELAJARAN PEMROGRAMAN TERINTEGRASI DENGAN ONLINE JUDGE DI SMK Mustamiin, Muhamad; Suheryadi, Adi; Puspaningrum, Alifia
Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2023): Januari
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Politeknik Negeri Media Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46961/jpk.v2i2.636

Abstract

Abstrak: Proses evaluasi hasil pembelajaran pemrograman seperti pengkoreksian jawaban terkait dengan kode program atau sintaks tertentu dalam pemrograman belum optimal dan perlu adanya suatu proses penilaian otomatis untuk membantu proses tersebut dengan menggunakan online judge. Online judge merupakan sebuah sistem yang mampu melakukan evaluasi secara mendalam dan melakukan kompilasi terhadap sintaks yang meliputi waktu eksekusi, compilation error dan lain sebagainya. Kegiatan pengabdian penerapan sistem evaluasi pembelajaran pemrograman terintegrasi dengan online judge pada mata pelajaran pemrograman dasar di SMK N 2 Indramayu dilakukan dalam bentuk workshop dan pelaksanaan praktikum, diharapkan dapat membantu siswa untuk segera mendapatkan umpan balik dari hasil pengerjaan latihan dan tugas, serta guru dapat langsung melihat hasil dari pengerjaan latihan dan tugas siswa sehingga dengan diterapkannya sistem ini dapat meningkatkan produktifitas guru dengan lebih banyak membahas materi ataupun memberikan latihan yang lebih spesifik dan siswa dapat mengerjakan lebih banyak latihan dan tugas yang ada karena dalam setiap pengerjaannya dilakukan tanpa menunggu umpan balik dari guru melainkan langsung dari sistem.Kata Kunci: ujian; pemrograman dasar; smk; online judgeAbstract:  The process of evaluating programming learning outcomes such as correcting answers related to certain program codes or syntax in programming is not yet optimal and there is a need for an automatic assessment process to assist the process by using an online judge. Online judge is a system capable of in-depth evaluation and compilation of syntax which includes execution time, compilation errors and so on. Service activities for implementing an integrated programming learning evaluation system with online judges on basic programming subjects at SMK N 2 Indramayu are carried out in the form of workshops and practicum implementations, which are expected to help students to immediately get feedback from the results of exercises and assignments, and teachers can immediately see the results of working on exercises and student assignments so that with the implementation of this system it can increase teacher productivity by discussing more material or providing more specific exercises and students can do more exercises and existing tasks because in each process it is done without waiting for feedback from the teacher but rather directly from the system.Keywords: exam, basic programming, smk, online judge
Aplikasi Pemesanan Tiket Berbasis Mobile di Pantai Balongan Indah 2 Indramayu Cahyanto, Kurnia Adi; Mustamiin, Muhamad; Suheryadi, Adi; Sembada, Muhammad Rifqi
Media Jurnal Informatika Vol 16, No 2 (2024): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v16i2.4742

Abstract

Pantai Balongan Indah 2 (Bali 2) merupakan salah satu tempat wisata unggul di kabupaten Indramayu. Saat ini sistem pelayanan pengunjung di Pantai Bali 2 masih dilakukan secara manual terbatas pada pembelian tiket di tempat, sehingga pelayanan yang diberikan terutama dalam pemesanan tiket masih belum efektif. Berdasarkan hal tersebut, dengan menggunakan metode observasi langsung dan wawancara dengan bagian pengelola pantai Bali 2, dan studi literatur, sistem ini dikembangkan menggunakan framework Flutter dan Laravel dengan model pengembangan Waterfall, yang mencakup tahapan analisis kebutuhan, desain sistem, coding, pengujian, dan penerapan program. Hasil penelitian seperti informasi mengenai fasilitas, kegiatan, dan potensi wisata di Pantai Balongan Indah 2 dapat diakses secara mudah melalui aplikasi, menjadikannya sarana promosi yang efisien serta dapat meningkatkan efisiensi antrian pengunjung melalui penerapan teknologi di sektor pariwisata, khususnya di kabupaten Indramayu.
Comparative Analysis of Feature Extraction Techniques for Facial Paralysis Classification Himawan, Salamet Nur; Suheryadi, Adi; Cahyanto, Kurnia Adi; Sitanggang, Filemon; Pamungkas, Kiki Adi
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.645

Abstract

Facial paralysis significantly affects a person's ability to communicate and perform essential functions. Facial paralysis classification plays a vital role in the diagnosis and monitoring of facial disorders. Traditional diagnostic methods often rely on subjective evaluations, leading to inconsistent outcomes. The aim of this study is to evaluate and compare various feature extraction techniques to enhance the accuracy and efficiency of facial paralysis classification. The primary contribution of this research lies in its comprehensive analysis of texture-based (Local Binary Patterns, Histogram of Oriented Gradients, Gabor filters) and geometric feature extraction methods, providing insights into their respective strengths and limitations for facial paralysis detection. This study utilizes the YouTube Facial Palsy (YFP) dataset, comprising annotated images of paralyzed and non-paralyzed faces. Preprocessing included resizing images to 128x128 pixels to standardize inputs. Feature extraction methods were applied to the dataset, and the extracted features were classified using machine learning algorithms, including Support Vector Machines (SVM), Random Forest (RF), and k-Nearest Neighbors (KNN). Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The best-performing method achieved an accuracy of 85% using HOG features combined with KNN. The findings highlight that texture-based methods, particularly HOG, excel in capturing subtle asymmetries, while geometric features offer computational efficiency and interpretability with fewer extracted features. This study underscores the importance of selecting suitable feature extraction methods based on task requirements, and emphasizes the potential of hybrid approaches to leverage the strengths of different methods. Future research should explore advanced geometric descriptors and integrate hybrid models to enhance clinical applicability
Design and Build an Assessment Platform by Inserting Moodle-Based Cryptographic Methods Pradeka, Deden; Adiwilaga, Anugrah; Agustini, Devi Aprianti Rimadhani; Suheryadi, Adi; Nuriman, Rizki
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9 No 3 (2023): Desember 2023
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i3.2023.264-270

Abstract

The use of digital platforms in the learning process is increasing, especially in the context of assessment activities. In this context, it is essential to realize that digital platforms can be subject to attack or fraud by irresponsible parties. It is due to the presence of sensitive data and/or restricted to a limited number of authorized persons. Therefore, the protection of data and its security in using digital platforms is very important. To enhance this layer of security in data protection, cryptographic methods play a crucial role in maintaining information security. By applying cryptographic methods to learning platforms for assessment purposes, we can increase the security and integrity of the data involved in the assessment process. This research aims to produce a plugin that can be used on a Moodle-based Learning Management System (LMS). This plugin will provide an additional activity in the form of an assessment activity with an essay exam type. When this plugin is used, all questions and answers will be encrypted into text that is difficult to understand by unauthorized parties when an attack attempt occurs. In this way, the learning platform for assessment purposes can safeguard and protect data from access by irresponsible parties.
DETEKSI KELUMPUHAN WAJAH MENGGUNAKAN YOLO DENGAN IMPLEMENTASI WEB Pamungkas, Kiki Adi; Himawan, Salamet Nur; Suheryadi, Adi; Cahyanto, Kurnia Adi; Sitanggang, Filemon
Prosiding Seminar SeNTIK Vol. 8 No. 1 (2024): Prosiding SeNTIK 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kelumpuhan wajah merupakan ketidakmampuan seseorang untuk menggerakkan otot-otot pada wajah.. Deteksi awal kelumpuhan wajah sangat penting untuk memberikan intervensi medis yang cepat dan mencegah perburukan kondisi pasien. Dalam penelitian ini, kami mengembangkan sebuah sistem berbasis deep learning yang menggunakan model YOLO (You Only Look Once) untuk mendeteksi paralisis secara otomatis. Sistem ini diintegrasikan dengan sebuah aplikasi web, yang memungkinkan pengguna untuk mengunggah citra untuk dilakukan deteksi secara real-time. Pengujian terhadap sistem ini menunjukkan akurasi yang tinggi dalam mendeteksi kelumpuhan wajah pada citra. Hasil penelitian menunjukkan bahwa model YOLO dapat membedakan wajah yang lumpuh dengan baik, terlihat pada precision dan recall yang mencapai nilai 0.91 dan 0.97
Kendali Otomatis dengan Memanfaatkan Kamera CCTV Menggunakan Metode Pengembangan Kalman Filter Suheryadi, Adi; Arief, Azran Budi; Darsih, Darsih
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1855.399 KB) | DOI: 10.25126/jtiik.2018561150

Abstract

Krisis energi telah menjadi isu penting dalam kurun waktu belakangan ini. Hal ini upaya yang mendorong penghematan energi menjadi masalah yang mendasar. Upaya penghematan energi dilakukan secara bersama oleh Pemerintah pusat, Pemerintah Daerah, Pengusaha dan Masyarakat. Disisi lain peningkatan fasilitas umum yang diberikan oleh pemerintah maupun perusahaan mendorong konsumsi daya listrik yang berlebihan, karena kurang optimalnya penggunaan peralatan listrik pada fasilitas umum tersebut. Penelitian ini menggunakan teknologi pengolahan citra digital dalam pendeteksian dan pelacakan posisi objek menggunakan metode modifikasi kalman filter, dan menerapkan sistem kendali otomatis embedded pada perangkat elektronik. Sistem kendali otomatis yang dibuat bekerja dengan memanfaatkan informasi yang didapat dari kamera CCTV. Informasi yang diolah berupa posisi objek dari peralatan elektronik, dimana perangkat elektronik hanya bekerja pada saat objek berada pada posisi yang ditentukan sebelumnya, sehingga hal ini dapat mengoptimalkan penggunaan daya dari peralatan elektronik tersebut. Nilai recall yang didapat dari penelitian ini adalah sekitar 95.65%. Abstract  The energy crisis has been an important issue in recent times. This effort that encourages energy saving becomes a fundamental problem. Energy saving efforts shall be undertaken jointly by the central Government, Regional Government, Entrepreneurs and Communities. On the other hand, the increase of public facilities provided by the government and companies encourages excessive consumption of electric power, due to less optimal use of electrical equipment in public facilities. This research uses digital image processing technology in the detection and tracking of object position using modification method of filter kalman, and apply automatic embedded control system in electronic device. Automated control systems are made to work by utilizing information obtained from CCTV cameras. The information processed is the position of the object of electronic equipment, where the electronic device only works when the object is in a predetermined position, so that it can optimize the power usage of the electronic equipment. Recall value of this study about 95.65%.
Vehicle Tracking to Determine Position in The Parking Lot Utilizing CCTV Camara Suheryadi, Adi; P, Willy Permana; PY, Reza; Sumarudin, A; Firdaus, Firdaus
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.671

Abstract

Traveling to a place using a private vehicle is an activity that many people do when visiting an area. The visitors leave their cars in several parking lots within a certain period. The resulted, them having difficulty finding vehicles in the parking lot. This study aims to assist parking service users in finding cars parked at the parking location using CCTV cameras. Apart from being used as a security system, cameras have installed in the parking lot can also be used to track the visitor's cars to the point where they park. The proposed method consists of three large blocks: background subtraction, vehicle recognition, and vehicle tracking. Results this study obtained in the test include the accuracy for the vehicle tracking process of about 91.5%, with a true positive rate of approximately 81.12%, and vehicle recognition about 70%.
Co-Authors A. Sumarudin Adiwilaga, Anugrah Alifia Puspaningrum Arief, Azran Budi Darsih, Darsih Deden Pradeka Devi Aprianti Rimadhani Agustini Firdaus Firdaus Himawan, Salamet Nur Kurnia Adi Cahyanto Mustamiin, Muhamad Nuriman, Rizki P, Willy Permana Pamungkas, Kiki Adi PY, Reza Sembada, Muhammad Rifqi Sitanggang, Filemon