Abstract:This study aims to develop an interactive learning medium based on fundamental basketball techniques and to evaluate its effectiveness in enhancing students' active participation in physical education at the junior high…
school level. The research employed a Research and Development (R&D) approach, modifying the Borg and Gall model into nine systematic development stages, including needs analysis, design, validation, and field testing. The research subjects consisted of 30 seventh-grade students for the limited trial and 60 students for the field trial. Validation by subject matter and media experts yielded an average score of 87%, indicating that the media is highly feasible. The limited trial results showed increased student participation across three learning domains: affective (72%), cognitive (68%), and psychomotor (70%). The subsequent field trial confirmed these findings, with an average active participation score of 81%, categorized as excellent. Additionally, quantitative data from questionnaires indicated positive responses from both students and teachers, with an average score of 85%, while qualitative data from observations and interviews revealed that the media significantly improved student motivation, engagement, and conceptual understanding. The results conclude that the developed interactive learning media is content-valid, practical for implementation, and effective in enhancing students’ active participation. These findings offer empirical contributions to the development of innovative, contextual, and applicable learning media in physical education and support the reinforcement of active participation-based pedagogy at the basic education level.
Abstract:This research aims to assess the content validity of the instrument used to measure Technological Pedagogical Content Knowledge (TPACK) in prospective chemistry teachers. The evaluation encompasses a thorough analysis of…
the instrument's alignment with the knowledge domains being measured, ensuring that the instrument covers key aspects of TPACK that are relevant to the context of teaching chemistry. Content validity reflects the representation and relevance of a set of items used to measure a concept carried out through rational analysis of the contents of the test through an expert panel assessment. This validity refers to the accuracy of the measurement based on the contents of the instrument to ensure that the scale of the items used has fulfilled the entire concept of the item or the suitability of the item. The instrument used in this study was assessed by nine validators consisting of two chemistry education experts and seven chemistry teachers. The assessment is done by determining the appropriateness or relevance of the test contents to be used through rational analysis by a competent panel or through expert judgment. The instrument validations in this study were 20 multiple choice questions. The assessment is done by giving a score of 1-4 on each item. This research is a quantitative descriptive study using Rasch model analysis. The analysis showed that the exact agreement was 71.4% and the expected agreement was 73.8%. Based on measurements showing relevant items in this research instrument, there are 17, among others number 1, 10, 11, 14, 5, 8, 19, 20, 18, 3, 6, 12, 13, 15, 17, 4 and 9. While there are 3 items that are irrelevant and need to be corrected, including number 16, 2 and 7.
Abstract:The mobile gaming industry has evolved into a strategic sector within the global digital economy ecosystem, contributing significantly to the overall revenue of the gaming industry. A concrete manifestation of this dynamic…
ic is Honor of Kings (HoK), a 5v5 MOBA game developed by TiMi Studio Group, which has recorded over 100 million daily active players worldwide. The success of HoK is not solely determined by the quality of its game mechanics but also by its ability to deliver an immersive user experience and implement adaptive Content Marketing strategies. This study aims to empirically examine the influence of Game User Experience (GUX) and Content Marketing on Player Loyalty, with Satisfaction serving as a mediating variable. Employing a quantitative approach through Structural Equation Modeling (SEM), data were collected from active HoK players using a validated survey instrument. The results of the analysis indicate that both GUX and Content Marketing have a significant positive effect on Satisfaction, which, in turn, mediates their influence on Loyalty. The proposed mediation model successfully illustrates the affective role of Satisfaction as a key determinant in the formation of player Loyalty in digital contexts. These findings not only reinforce theoretical foundations in the domain of experience-based marketing but also offer practical insights for game developers and marketers in designing sustainable retention strategies through the optimization of gameplay experience and value-driven content delivery. Accordingly, this study presents a relevant conceptual framework for understanding the mechanisms of Loyalty formation within the competitive and dynamic mobile gaming industry.
Abstract:Pengabdian kepada masyarakat merupakan kegiatan yang ditujukan untuk membantu masyarakat tertentu dalam berbagai kegiatan tanpa mengharapkan imbalan apapun. Secara umum beberapa perguruan tinggi atau institut di Indonesia…
a telah mengembangkan program ini untuk memberikan kontribusi nyata bagi bangsa Indonesia, khususnya bagi pembangunan kesejahteraan dan pembangunan masyarakat Indonesia. PKM ini dilaksanakan di BKRMI (Badan Komunikasi Remaja Masjid Indonesia (BKPRMI) yang bergerak dibidang keislaman, kemasjidan, keummatan dan keindonesiaan sebagai wadah komunikasi dari organisasi pemuda remaja masjid untuk pengembangan program pembinaan generasi muda dari segala aspek secara komunikatif, informatif dan konsultatif. Kegiatan ini membahas tentang Workshop Manajemen Domain Dan Hosting Website Bkprmi Kabupaten Asahan Provinsi Sumatera Utara. Workshop manajemen domain dan hosting website merupakan kegiatan yang membahas tentang bagaimana mengelola domain dan hosting website. Kegiatan ini diarahkan kepada remaja agar mereka dapat memahami cara kerja dan pentingnya manajemen domain dan hosting dalam pembuatan website. Pada workshop ini peserta akan belajar tentang (1) Apa itu domain dan hosting; (2) Cara membeli dan mengelola domain; (3) Cara mengelola hosting website;(4) Bagaimana cara mengatur konfigurasi domain dan hosting agar website dapat diakses oleh publik. Workshop ini diharapkan dapat memberikan pengetahuan dan kemampuan kepada remaja dalam mengelola domain dan hosting website, sehingga mereka dapat membuat dan mengelola website dengan lebih efektif dan efisien.
Abstract:Abstract: Community service activities aimed at the government of Cipta Karya Village, Sungai Betung District, Bengkayang Regency aim to increase the interest and use of Information Technology in the Website field. Through…
gh a village institution managed by the community and village government, namely BUMdes, this greatly helps the community in improving the village economy which has the potential for information that can be used to convey information. Utilization of Information Technology in the creation of the assisted village web to display information related to the activities of the creation village. The service was carried out by studying the literature, implementing, and evaluating. Where the implementation is carried out in stages such as socialization, data management, creation of websites and domains as well as admin training, to the management of village websites. Through this website, the village government can provide information related to village activities such as potential tourism objects.
Keywords: BUMDES; management; website development; village
Abstrak: Kegiatan pengabdian pada masyarakat dengan sasaran pemerintah Desa Cipta Karya Kecamatan Sungai Betung Kabupaten Bengkayang bertujuan untuk meningkatkan minat dan pemanfaatan Teknologi Informasi pada bidang Website. Desa Cipta Karya belum memiliki wadah atau tempat untuk mempromosi potensi wisata desa. Pengelolaan Bumdes belum dimanfaatkan dengan baik dan benar dan belum ada tempat untuk menginformasi kegiatan atau informasi yang ada di Desa. Begitu pula peta lokasi wisata belum banyak diketahui oleh masyarakat luar. Melalui sebuah lembaga Desa yang dikelola oleh masyarakat dan pemerintah desa yaitu BUMdes, ini sangat membantu masyarakat dalam meningkatkan perekonomian desa yang memiliki potensi informasi yang bisa digunakan untuk menyampaikan suatu informasi. Pemanfaatan Teknologi Informasi dalam pembuatan web desa binaan untuk menampilkan informasi yang berkaitan dengan kegiatan desa cipta karya. Pengabdian ini dilakukan dengan metode studi literatur, pelaksanaan dan evaluasi. Dimana pada pelaksanaannya dilakukan tahap seperti sosialisasi, pengumpulan data, pembuatan website dan domain dan juga pelatihan admin, hingga pengelolaan website desa. Melalui website ini, pihak pemerintah desa dapat memberikan informasi terkait dengan kegiatan desa seperti potensi objek wisata.
Kata kunci: BUMdes; desa; pengelolaan; pengembangan website
Abstract:Abstract: Manual meeting documentation risks losing important information due to cognitive fatigue. Although automated summarization models have evolved, integrated end-to-end systems for Indonesian spoken language remain…
n highly limited. This study aims to design and evaluate an end-to-end automated meeting summarization architecture that directly integrates Automatic Speech Recognition (ASR) via OpenAI Whisper for transcription and the IndoT5 language model for abstractive summarization. IndoT5 was fine-tuned using a dataset of 486 Indonesian spoken language transcript pairs. Testing was conducted on a CPU infrastructure using MP4, MP3, and WAV formats. Results show the optimal fine-tuning configuration significantly improved accuracy, achieving ROUGE-1 (0.4167), ROUGE-2 (0.1973), and ROUGE-L (0.2701) scores. Computationally, the system achieved a Real-Time Factor below 1, processing data faster than the actual recording duration. Conclusively, integrating Whisper and IndoT5 shows potential in producing coherent meeting summaries with lightweight computational overhead, making it viable for local infrastructure implementation to ensure data privacy.
Keywords: abstractive summarization; ASR; end-to-end pipeline; IndoT5; real-time factor
Abstrak: Dokumentasi rapat manual rentan menghilangkan informasi penting akibat keterbatasan kognitif. Meskipun model peringkas otomatis telah berkembang, implementasi sistem terintegrasi (end-to-end) khusus percakapan lisan berbahasa Indonesia masih sangat terbatas. Penelitian ini bertujuan merancang dan mengevaluasi arsitektur peringkas rapat otomatis end-to-end yang mengintegrasikan langsung Automatic Speech Recognition (ASR) melalui OpenAI Whisper untuk transkripsi dan model bahasa IndoT5 untuk peringkasan abstraktif. Adaptasi domain dilakukan melalui fine-tuning IndoT5 menggunakan 486 pasang dataset transkrip lisan berbahasa Indonesia. Pengujian pada infrastruktur CPU menggunakan format MP4, MP3, dan WAV. Hasil pengujian menunjukkan konfigurasi fine-tuning optimal berhasil meningkatkan akurasi, dengan skor ROUGE-1 (0,4167), ROUGE-2 (0,1973), dan ROUGE-L (0,2701). Sistem mendemonstrasikan efisiensi komputasi dengan nilai Real-Time Factor di bawah 1, mengindikasikan waktu pemrosesan lebih cepat dari durasi rekaman asli. Kesimpulannya, integrasi Whisper dan IndoT5 menunjukkan potensi dalam menghasilkan ringkasan yang koheren dengan beban komputasi ringan, sehingga layak diimplementasikan pada infrastruktur lokal organisasi untuk menjaga privasi data.
Kata kunci: ASR; end-to-end pipeline; IndoT5; peringkasan abstraktif; real-time factor
Abstract:Abstract: The use of QR Codes in academic settings has increased with the digitization of attendance systems, but it has also introduced potential abuse in the form of quishing attacks (QR phishing). Previous studies have…
e mainly focused on user behavior, while forensic analysis of digital artifacts as evidence is still limited. This study aims to conduct a forensic analysis of browser artifacts resulting from interactions with dangerous QR Codes at Aisyiyah University Yogyakarta using the framework of the National Justice Institute (NIJ). Six investigation parameters are defined: domain identification, endpoint identification, identification of supporting resources, visualization of image artifacts, timestamp correlation, and HTML reconstruction. Data is obtained from the Google Chrome profile directory and analyzed using Autopsy, focusing on Web Cache, Browser History, and Cookies artifacts. The results showed that five parameters were successfully identified with an investigation success rate of 83.3%, while HTML reconstruction could not be fully achieved due to cache limitations. These findings show that Web Cache artifacts provide evidentiary value in the forensic investigation of QR Code-based attacks. Future research should focus on improving full-page reconstruction techniques.
Keywords: browser forensics; digital artifacts; NIJ; quishing; Web Cache
Abstrak: Penggunaan Kode QR di lingkungan akademik telah meningkat seiring dengan digitalisasi sistem absensi, tetapi juga menimbulkan potensi penyalahgunaan dalam bentuk serangan phishing (QR phishing). Studi sebelumnya sebagian besar berfokus pada perilaku pengguna, sementara analisis forensik artefak digital sebagai bukti masih terbatas. Studi ini bertujuan untuk melakukan analisis forensik artefak browser yang dihasilkan dari interaksi dengan Kode QR berbahaya di Universitas 'Aisyiyah Yogyakarta menggunakan kerangka kerja Lembaga Kehakiman Nasional (NIJ). Enam parameter investigasi didefinisikan: identifikasi domain, identifikasi titik akhir, identifikasi sumber daya pendukung, visualisasi artefak gambar, korelasi stempel waktu, dan rekonstruksi HTML. Data diperoleh dari direktori profil Google Chrome dan dianalisis menggunakan Autopsy, dengan fokus pada artefak Cache Web, Riwayat Browser, dan Cookie. Hasil menunjukkan bahwa lima parameter berhasil diidentifikasi dengan tingkat keberhasilan investigasi sebesar 83,3%, sementara rekonstruksi HTML tidak dapat sepenuhnya dicapai karena keterbatasan cache. Temuan ini menunjukkan bahwa artefak Cache Web memberikan nilai bukti dalam investigasi forensik serangan berbasis Kode QR. Penelitian selanjutnya harus fokus pada peningkatan teknik rekonstruksi halaman penuh.
Kata kunci: forensik peramban; artefak digital; NIJ; quishing; web cache
Abstract:Abstract: This study discusses the optimization of RAG for a FAQ system in the field of information technology product security certification at BSSN. Although LLM generate reliable responses, they often lack up-to-date…
and domain-specific knowledge, which can be addressed through the RAG approach. This research aims to optimize a domain-specific RAG system by improving embedding performance, enhancing prompt robustness, and increasing retrieval accuracy. The research methods consist of three stages. The first stage involves fine-tuning the bge-m3 embedding model and evaluating its performance using MRR, Recall, and AUC. The second stage applies prompt engineering techniques, namely the SRSM and Autodefense, to mitigate direct-injection and escape-character prompt injection attacks. The third stage evaluates the proposed RAG system using Precision, Recall, and F1-Score metrics against four baseline models. The results of research show that the fine-tuned embedding model achieves higher performance than the original model, with MRR@1 and Recall@1 values of 0.80 and an AUC@100 of 0.7023. In addition, the proposed prompt engineering techniques demonstrate robustness against prompt injection attacks, while the overall RAG system attains a perfect Precision, Recall, and F1-Score of 1.00. In conclusion, the proposed approach effectively enhances retrieval accuracy, embedding quality, and system security, resulting in a more reliable RAG-based FAQ system for information technology product security certification.
Keywords: embedding fine-tuning; large language model; prompt engineering; prompt injection mitigation; retrieval-augmented generation
Abstrak: Studi ini membahas optimasi RAG untuk sistem FAQ di bidang sertifikasi keamanan produk teknologi informasi di BSSN. Meskipun LLM menghasilkan respons yang andal, mereka seringkali kurang memiliki pengetahuan terkini dan spesifik domain, yang dapat diatasi melalui pendekatan RAG. Penelitian ini bertujuan untuk mengoptimalkan sistem RAG spesifik domain dengan meningkatkan kinerja embedding, meningkatkan ketahanan prompt dan meningkatkan akurasi pengambilan. Metode penelitian terdiri dari tiga tahap. Tahap pertama melibatkan fine-tuning model embedding bge-m3 dan mengevaluasi kinerjanya menggunakan Mean Reciprocal Rank (MRR), Recall, dan AUC. Tahap kedua menerapkan teknik rekayasa prompt, yaitu Self- SRSM dan Autodefense, untuk mengurangi serangan direct-injection dan escape-character prompt injection. Tahap ketiga mengevaluasi sistem RAG yang diusulkan menggunakan metrik Presisi, Recall, dan F1-Score terhadap empat model dasar. Hasil penelitian menunjukkan bahwa model embedding yang disempurnakan mencapai kinerja yang lebih tinggi daripada model asli, dengan nilai MRR@1 dan Recall@1 sebesar 0,80 dan AUC@100 sebesar 0,7023. Selain itu, teknik rekayasa prompt yang diusulkan menunjukkan ketahanan terhadap serangan injeksi prompt, sementara sistem RAG secara keseluruhan mencapai Presisi, Recall, dan F1-Score sempurna sebesar 1,00. Kesimpulannya, pendekatan yang diusulkan secara efektif meningkatkan akurasi pengambilan, kualitas embedding dan keamanan sistem, menghasilkan sistem FAQ berbasis RAG yang lebih andal untuk sertifikasi keamanan produk teknologi informasi.
Kata kunci: penyempurnaan embedding; model bahasa besar; rekayasa prompt; mitigasi injeksi prompt; retrieval-augmented generation
Abstract:Abstract: Manual management of domain validity periods and SSL certificates is prone to human error and can cause service disruptions, as was the case at PT XYZ. A reactive approach that relies on vendor notifications has…
s proven to be insufficient to ensure operational continuity. This research aims to design and implement an automated monitoring system to transform this manual approach into a preventive and proactive security framework. The method used is the implementation of an open-source stack consisting of Prometheus to collect metrics from specialized exporters (Blackbox and Domain Exporter), and Grafana for informative centralized dashboard visualization. The system is also integrated with early warning notifications via Telegram for rapid incident response. The result is a functional system with a centralized dashboard that visually displays the remaining validity period of assets using color markers (green for safe status, yellow for early warning, and red for critical status). System testing showed very high accuracy, reaching 100% for domains (MAE 0 days) and 99.45% for SSL certificates (MAE 1.0 days). This system has successfully transformed manual processes into automated and preventive ones, significantly mitigating the risk of human error and ensuring the reliability of digital services.
Keywords: domain; grafana; monitoring; prometheus; SSL certificate.
Abstrak: Pengelolaan manual masa berlaku domain dan sertifikat SSL rentan terhadap human error dan dapat menyebabkan gangguan layanan, seperti yang pernah terjadi di PT XYZ. Pendekatan reaktif yang mengandalkan notifikasi vendor terbukti tidak lagi memadai untuk menjamin kontinuitas operasional. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pemantauan otomatis untuk mentransformasi pendekatan manual tersebut menjadi kerangka kerja keamanan yang preventif dan proaktif. Metode yang digunakan adalah implementasi stack open-source yang terdiri dari Prometheus untuk mengumpulkan metrik dari exporter spesialis (Blackbox dan Domain Exporter), serta Grafana untuk visualisasi dasbor terpusat yang informatif. Sistem ini juga diintegrasikan dengan notifikasi peringatan dini melalui Telegram untuk respons insiden yang cepat. Hasilnya adalah sebuah sistem fungsional dengan dashboard terpusat yang menampilkan sisa masa berlaku aset secara visual menggunakan penanda warna (hijau untuk status aman, kuning untuk peringatan dini, dan merah untuk status kritis). Pengujian sistem menunjukkan akurasi yang sangat tinggi, mencapai 100% untuk domain (MAE 0 hari) dan 99.45% untuk sertifikat SSL (MAE 1.0 hari). Sistem ini berhasil mengubah proses manual menjadi otomatis dan preventif, secara signifikan memitigasi risiko human error dan menjamin keandalan layanan digital.
Kata kunci: domain; grafana; pemantauan; prometheus; sertifikat SSL.
Abstract:Abstract: The rapid growth of the digital music industry requires accurate music genre classification systems to enhance user experience in streaming services. This study compares a domain-specific Long Short-Term Memory…
(LSTM) network with three Large Language Models (LLMs)—HuBERT, WavLM, and WAV2Vec 2.0—for Music Genre Classification (MGC). The LSTM model was trained using Mel-spectrograms transformed from the GTZAN dataset, while the LLMs were fine-tuned using a smaller set of raw audio samples due to computational constraints. All models were tested on datasets with identical genre labels to ensure a fair evaluation. Results show that the LSTM model achieved the highest accuracy of 97.10%, outperforming HuBERT (86.00%), WavLM (83.00%), and WAV2Vec 2.0 (80.00%). The LSTM demonstrated superior generalization and stability without overfitting, while the LLMs struggled to differentiate between genres with similar acoustic characteristics. These findings indicate that general-purpose pre-trained models, although powerful, are less effective in music-specific tasks due to domain mismatch. Therefore, incorporating music-specific features and architectures remains essential for achieving higher accuracy and reliability in automatic genre classification systems.
Keywords: audio large language models; comparative deep learning; music genre classification.
Abstrak: Pertumbuhan industri musik digital yang pesat menuntut sistem klasifikasi genre musik yang akurat untuk meningkatkan pengalaman pengguna dalam layanan streaming. Penelitian ini dilatarbelakangi oleh perkembangan pesat model pembelajaran mendalam, khususnya jaringan LSTM dan model bahasa berskala besar LLM seperti HuBERT, WavLM, dan WAV2Vec 2.0, yang telah menunjukkan kemampuan representasi audio yang kuat. Tujuan penelitian ini ini membandingkan jaringan Long Short-Term Memory (LSTM) khusus domain dengan tiga model Large Language Models (LLM)—HuBERT, WavLM, dan WAV2Vec 2.0—untuk tugas Klasifikasi Genre Musik (MGC). Metode penelitian melibatkan pelatihan LSTM menggunakan data Mel-spectrogram hasil transformasi dari dataset GTZAN, sementara LLM disesuaikan (fine-tuning) menggunakan data audio mentah dalam jumlah lebih kecil karena keterbatasan komputasi. Seluruh model diuji pada dataset dengan label genre yang sama untuk memastikan evaluasi yang adil. Hasil penelitian menunjukkan bahwa model LSTM mencapai akurasi tertinggi sebesar 97,10%, sedangkan model HuBERT, WavLM, dan WAV2Vec 2.0 masing-masing memperoleh 86,00%, 83,00%, dan 80,00%. Model LSTM menunjukkan kemampuan generalisasi yang lebih baik tanpa overfitting, sedangkan model LLM cenderung kesulitan membedakan genre dengan karakteristik akustik yang mirip. Kesimpulan penelitian ini adalah ketidaksesuaian domain secara signifikan membatasi performa model umum saat diterapkan pada tugas berbasis musik. Oleh karena itu, penggunaan fitur dan arsitektur khusus musik sangat penting dalam membangun sistem klasifikasi genre yang lebih akurat.
Kata kunci: klasifikasi genre musik; model bahasa besar; perbandingan pembelajaran mendalam.