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All Journal Scientific Journal of Informatics Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF APPLIED INFORMATICS AND COMPUTING Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Abdidas Community: Jurnal Pengabdian Pada Masyarakat Journal of Future Artificial Intelligence and Technologies
Erna Zuni Astuti
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Peningkatan Keterampilan Menulis Naskah Jurnalistik Radio melalui Pelatihan Berbasis Partisipatif pada Siswa-Siswi SMA Negeri 5 Kota Semarang Ernawati, Arni; Patriantoro, Teguh Hartono; Yulianto, Lukas; Astuti, Erna Zuni; Prasongko, Akbar Bagus; Oktavianto, Damar
Jurnal Abdidas Vol. 5 No. 1 (2024): February, Pages 1-63
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v5i1.885

Abstract

Keterampilan menulis merupakan keterampilan penting yang harus dimiliki oleh setiap individu, termasuk siswa-siswi SMA. Keterampilan menulis naskah jurnalistik merupakan salah satu bentuk keterampilan menulis yang penting untuk dikuasai oleh siswa-siswi SMA. SMA Negeri 5 Kota Semarang memiliki program jurnalistik radio, namun masih menemui kendala dalam hal keterampilan menulis naskah jurnalistik radio. Oleh karena itu, diperlukan upaya untuk meningkatkan keterampilan menulis naskah jurnalistik radio bagi siswa-siswi SMA Negeri 5 Kota Semarang. Pengabdian ini bertujuan untuk meningkatkan keterampilan menulis naskah jurnalistik radio melalui pelatihan berbasis partisipatif pada siswa-siswi SMA Negeri 5 Kota Semarang. Pelatihan ini dilaksanakan dengan menggunakan menggunakan metode Pendekatan Participatory Action Research (PAR)" membahas tentang upaya meningkatkan keterampilan menulis naskah jurnalistik radio pada siswa SMA Negeri 5 Kota Semarang melalui pelatihan berbasis partisipatif. Metode pendekatan Participatory Action Research (PAR) digunakan untuk menekankan partisipasi aktif siswa-siswa dalam proses pengabdian dan pengambilan keputusan. Hasil penelitian menunjukkan bahwa pelatihan berbasis partisipatif dapat meningkatkan keterampilan menulis naskah jurnalistik radio siswa SMA Negeri 5 Kota Semarang. Pelatihan ini pengabdi melibatkan siswa dalam proses pembelajaran dan memberikan kesempatan kepada siswa untuk mengekspresikan diri, menyampaikan informasi, dan memecahkan masalah. Dengan demikian, pelatihan berbasis partisipatif dapat menjadi langkah yang efektif dalam meningkatkan keterampilan menulis naskah jurnalistik radio pada siswa SMA Negeri 5 Kota Semarang.
Tingkatkan Keterampilan Komunikasi Visual Siswa-Siswi melalui Workshop Sinematografi di SMK Negeri 4 Semarang Astuti, Erna Zuni; Ernawati, Arni; Dolphina, Erlin; Asmarani, Rahmanti; Prasongko, Akbar Bagus; Abdullah, Usman Zahid
Jurnal Abdidas Vol. 5 No. 4 (2024): August, Pages 301 - 449
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v5i4.949

Abstract

Di era digital, keterampilan komunikasi visual menjadi semakin penting. Program Kemitraan Masyarakat ini bertujuan meningkatkan keterampilan komunikasi visual dan imajinasi siswa-siswi SMK Negeri 4 Semarang melalui workshop sinematografi. Menggunakan metode pendekatan partisipatif, workshop dilaksanakan pada 27 Juni 2024 selama 4 jam di Ruang Aula Utama sekolah, diikuti oleh 30 siswa-siswi kelas XI dan XII jurusan Multimedia. Kegiatan mencakup aspek teoretis dan praktis sinematografi, termasuk pengenalan dasar, teknik pengambilan gambar, pengembangan imajinasi, tahapan produksi film, dan pengenalan software editing. Peserta terlibat aktif dalam pembelajaran praktik langsung pembuatan film pendek. Evaluasi program dilakukan melalui observasi, wawancara, dan forum diskusi. Hasil menunjukkan peningkatan signifikan dalam pemahaman konsep-konsep dasar sinematografi seperti komposisi gambar, pencahayaan, dan penyuntingan video. Siswa-siswi juga mampu membuat film pendek menggunakan teknik-teknik yang dipelajari. Workshop ini terbukti efektif dalam meningkatkan keterampilan komunikasi visual dan dapat menjadi model pembelajaran bagi sekolah-sekolah lain yang ingin mengembangkan keterampilan serupa pada siswa-siswinya.
Discrete Cosine Transform and Singular Value Decomposition Based on Canny Edge Detection for Image Watermarking Astuti, Erna Zuni; Sari, Christy Atika; Rachmawanto, Eko Hari; Astuti, Yani Parti; Oktaridha, Harwinanda; Isinkaye, Folasade Olubusola
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 4, November 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i4`.1768

Abstract

The development of an increasingly sophisticated internet allows for the distribution of digital images that can be done easily. However, with the development of increasingly sophisticated internet networks, it becomes an opportunity for some irresponsible people to misuse digital images, such as taking copyrights, modification and duplicating digital images. Watermarking is an information embedding technique to show ownership descriptions that can be conveyed into text, video, audio, and digital images. There are 2 groups of watermarking based on their working domain, namely the spatial domain and the transformation domain. In this study, three domain transformation techniques were used, namely Singular Value Descomposition (SVD), Discrete Cosine Transform (DCT) and Canny Edge Detection Techniques. The proposed attacks are rotation, gaussian blurness, salt and pepper, histogram equalization, and cropping. The results of the experiment after inserting the watermark image were measured by the Peak Signal to Noise Ratio (PSNR). The results of the image robustness test were measured by the Correlation Coefficient (Corr) and Normalized Correlation (NC). The analysis and experimental results show that the results of image extraction are good with PSNR values from watermarked images above 50dB and Corr values reaching 0.95. The NC value obtained is also high, reaching 0.98. Some of the extracted images are of fairly good quality and are similar with the original image.
Exploring Deep Q-Network for Autonomous Driving Simulation Across Different Driving Modes Setiawan, Marcell Adi; Setiadi, De Rosal Ignatius Moses; Astuti, Erna Zuni; Sutojo, T.; Setiyanto, Noor Ageng
Journal of Future Artificial Intelligence and Technologies Vol. 1 No. 3 (2024): December 2024
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.3048-3719-31

Abstract

The rapid growth in vehicle ownership has led to increased traffic congestion, making the need for autonomous driving solutions more urgent. Autonomous Vehicles (AVs) offer a promising solution to improve road safety and reduce traffic accidents by adapting to various driving conditions without human intervention. This research focuses on implementing Deep Q-Network (DQN) to enhance AV performance in different driving modes: safe, normal, and aggressive. DQN was selected for its ability to handle complex, dynamic environments through experience replay, asynchronous training, and epsilon-greedy exploration. We designed a simulation environment using the Highway-env platform and evaluated the DQN model under varying traffic densities. The performance of the AV was assessed based on two key metrics: success rate and total reward. Our findings show that the DQN model achieved a success rate of 90.75%, 94.625%, and 95.875% in safe, normal, and aggressive modes, respectively. Although the success rate increased with traffic intensity, the total reward remained lower in aggressive driving scenarios, indicating room for optimization in decision-making processes under highly dynamic conditions. This study demonstrates that DQN can adapt effectively to different driving needs, but further optimization is needed to enhance performance in more challenging environments. Future work will focus on improving the DQN algorithm to maximize both success rate and reward in high-traffic scenarios and testing the model in more diverse and complex environments.
A Hybrid Encryption using Advanced Encryption Standard and Arnold Scrambling for 3D Color Images Sari, Wellia Shinta; Astuti, Erna Zuni; Jatmoko, Cahaya
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 1, February 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i1.2058

Abstract

Digital security ensuring the confidentiality and integrity of visual data remains a paramount challenge. The escalating sophistication of cyber threats necessitates robust encryption methods to safeguard sensitive information from unauthorized access and manipulation. Despite the development of various encryption techniques, inherent vulnerabilities exist within conventional methods that can be exploited by attackers. Therefore, this research aims to investigate the effectiveness of the combined approach of Arnold Scrambling and Advanced Encryption Standard (AES) in mitigating these vulnerabilities and providing a more secure solution. The primary goal of this research is to enhance the security of digital images by mitigating vulnerabilities associated with conventional encryption methods. Arnold Scrambling introduces chaotic mapping to disperse pixel values, while Advanced Encryption Standard (AES) provides robust cryptographic strength through its substitution-permutation network. By combining these methods in an ensemble fashion, the encryption process achieves heightened resilience against various cryptographic attacks. The proposed methodology was evaluated by using standard metrics including Unified Average Changing Intensity (UACI), Number of Pixels Change Rate (NPCR), and entropy analysis. Results indicate consistent performance across multiple test images, namely: Lena, Mandrill, Cameraman, and Plane with Unified Average Changing Intensity (UACI) averaging 33.6% and Number of Pixels Change Rate (NPCR) nearing 99.8%. Entropy values approached maximum, affirming the efficacy of the encryption in generating highly randomized outputs.
Pengenalan Algoritma Komputasi pada Kelas Robotik pada Siswa SD Islam Bintang Juara dengan Metode Computational Thinking Astuti, Erna Zuni; Agustina, Feri; Dolphina, Erlin; Ningrum, Novita Kurnia
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2717

Abstract

Kolaborasi robotika dalam pembelajaran di kelas berdampak pada kemampuan berpikir komputasi siswa. Penelitian ini melibatkan 2 orang guru sekolah dasar (Kelas 3-5) dari empat sekolah yang memperkenalkan perangkat robotika. Hasilnya menunjukkan bahwa mengeksplorasi dengan dan menggunakan perangkat dan aktivitas robotik, membantu guru membangun kepercayaan diri dan pengetahuan mereka untuk memperkenalkan pemikiran komputasi kepada siswa muda. Penelitian ini mengidentifikasi bahwa pengembangan profesional guru. Pendekatan pembelajaran terpadu antara sains, teknologi, teknik dan matematika untuk mengembangkan kreativitas siswa melalui proses pemecahan masalah dalam kehidupan sehari-hari. Sehingga perlu difokuskan secara eksplisit bagaimana mengajarkan aktivitas science, technology, engineering, and mathematics (STEM) berbasis robotika yang sesuai dengan perkembangan yang lebih mengedepankan konsep, praktik, dan perspektif komputasi.  
Improved Chaotic Image Encryption on Grayscale Colorspace Using Elliptic Curves and 3D Lorenz System Sinaga, Daurat; Jatmoko, Cahaya; Astuti, Erna Zuni; Rachmawanto, Eko Hari; Abdussalam, Abdussalam; Pramudya, Elkaf Rahmawan; Shidik, Guruh Fajar; Andono, Pulung Nurtantio; Doheir, Mohamed
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 3, August 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i3.2251

Abstract

Digital data, especially visual content, faces significant security challenges due to its susceptibility to eavesdropping, manipulation, and theft in the modern digital landscape. One effective solution to address these issues is the use of encryption techniques, such as image encryption algorithms, that ensure the confidentiality, integrity, and authenticity of digital visual content. This study addresses these concerns by introducing an advanced image encryption method that combines Elliptic Curve Cryptography (ECC) with the 3D Lorenz chaotic system to enhance both security and efficiency. The method employs pixel permutation, ECC-based encryption, and diffusion using pseudo-random numbers generated by the Lorenz 3D system. The results show superior performance, with an MSE of 3032 and a PSNR of 8.87 dB, as well as UACI and NPCR values of 33.34% and 99.64%, respectively, indicating strong resilience to pixel intensity changes. During testing, the approach demonstrated robustness, allowing only the correct key to decrypt images accurately, while incorrect or modified keys led to distorted outputs, ensuring encryption reliability. Future work could explore extending the method to color images, optimizing processing for larger datasets, and incorporating additional chaotic systems to further fortify encryption strength.
Optimized Visualization of Digital Image Steganography using Least Significant Bits and AES for Secret Key Encryption Jatmoko, Cahaya; Sinaga, Daurat; Lestiawan, Heru; Astuti, Erna Zuni; Sari, Christy Atika; Shidik, Guruh Fajar; Andono, Pulung Nurtantio; Yaacob, Noorayisahbe Mohd
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 3, August 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i3.2252

Abstract

Data hiding is a technique used to embed secret information into a cover medium, such as an image, audio, or video, with minimal distortion, ensuring that the hidden data remains imperceptible to an observer. The key challenge lies in embedding secret information securely while maintaining the original quality of the host medium. In image-based data hiding, this often means ensuring the hidden data cannot be easily detected or extracted while still preserving the visual integrity of the host image. To overcome this, we propose a combination of AES (Advanced Encryption Standard) encryption and Least Significant Bit (LSB) steganography. AES encryption is used to protect the secret images, while the LSB technique is applied to embed the encrypted images into the host images, ensuring secure data transfer. The dataset includes grayscale 256x256 images, specifically "aerial.jpg," "airplane.jpg," and "boat.jpg" as host images, and "Secret1," "Secret2," and "Secret3" as the encrypted secret images. Evaluation metrics such as Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Unified Average Changing Intensity (UACI), and Number of Pixels Changed Rate (NPCR) were used to assess both the image quality and security of the stego images. The results showed low MSE (0.0012 to 0.0013), high PSNR (58 dB), and consistent UACI and NPCR values, confirming both the preservation of image quality and the effectiveness of encryption for securing the secret data.
Pelatihan Pemanfaatan Google Sites Untuk Pembuatan Media Pembelajaran Berbasis Website Untuk Guru Dan Dosen Pada Perkumpulanprofesi Multimedia Dan Teknologi Informasi (PPMULTINDO) Jatmoko, Cahaya; Rakasiwi, Sindhu; Widya Laksana, Deddi Award; Erawan, Lalang; Rizqa, Ifan; Astuti, Erna Zuni
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 2 (2024): Juli : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v4i2.535

Abstract

Conveying appropriate information to be understood quickly and accurately is very important in various areas of life, both academic and non-academic. A teacher or lecturer is a teacher whose job is to educate and provide instruction to students or students. Data visualization is one way that can be used to present data. The advantage of this method is the availability of statistical graphics which can enrich the display of information so that the results are more interactive for the audience. Google Sites is a service owned by the Google company that can be used for e-learning. That way, the information becomes more appropriate to understand quickly and accurately.
Fuzzy Smart Reward for Serious Game Activity Design Haryanto, Hanny; Rosyidah, Umi; Kardianawati, Acun; Astuti, Erna Zuni; Dolphina, Erlin; Haryanto, Ronny
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.44051

Abstract

Purpose:  Serious game has been widely considered to be a potential learning tool, due to its main advantage to provide a fun experience in learning. The experience is supported mainly by in-game activities, where feedback is given in the form of rewards. However, rewards often don't work well due to various factors, for example, rewards are always the same, so they are monotonous. We use Appreciative Learning as underlying concept for activity design and fuzzy logic to create the reward behavior, called Fuzzy Smart Reward.Methods: We use Appreciative Learning as underlying concept for activity design and fuzzy logic to create the reward behavior. Appreciative Learning activities consists of Discovery, Dream, Design and Destiny. We propose fuzzy-based smart reward for those activities. The smart reward takes player achievement in each activity as input for the fuzzy inference system and give the dynamic reward as output.Result: A game prototype is developed as a test subject. The result shows that the smart reward could dynamically adjust the reward based on game conditions and player performance. Test conducted using Game Experience Questionnaire get the score 3.3 out of 4.Novelty:  There aren't many studies on dynamic rewards in structured reward systems; the majority of studies remove dynamic rewards from reward systems. In our research, a "smart reward" is a dynamic reward in a structured reward system that is created using artificial intelligence and is based on activities for appreciative learning. The use of Fuzzy Logic for structured reward behavior is also very rare. 
Co-Authors Abdullah, Usman Zahid Abdussalam Abdussalam, Abdussalam Acun Kardianawati Afaf Firmansyah, Daffa Agustina, Feri Ali, Rabei Raad Arni Ernawati Astuti, Yani Parti Cahaya Jatmoko Christy Atika Sari De Rosal Ignatius Moses Setiadi Doheir, Mohamed Eko Hari Rachmawanto Elkaf Rahmawan Pramudya Erlin Dolphina Guruh Fajar Shidik Hanny Haryanto Haryanto, Ronny Heru Lestiawan Ifan Rizqa Isinkaye, Folasade Olubusola Lalang Erawan Ningrum, Novita Kurnia Noor Ageng Setiyanto, Noor Ageng Oktaridha, Harwinanda Oktavianto, Damar Patriantoro, Teguh Hartono Prasongko, Akbar Bagus Pulung Nurtantio Andono Rahmanti Asmarani Setiawan, Marcell Adi Sinaga, Daurat Sindhu Rakasiwi Sutrisno, Hendra Syabilla, Mutiara T. Sutojo Umi Rosyidah Wellia Shinta Sari Widya Laksana, Deddi Award Yaacob, Noorayisahbe Mohd Yulianto, Lukas