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All Journal Jurnal Teknologi dan Manajemen Informatika JUTI: Jurnal Ilmiah Teknologi Informasi SMATIKA JPM (Jurnal Pemberdayaan Masyarakat) Journal on Information Systems, Technology of Information and Communications (JoISTIC) JOURNAL OF APPLIED INFORMATICS AND COMPUTING KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) IJISCS (International Journal Of Information System and Computer Science) Tematik : Jurnal Teknologi Informasi Komunikasi Teknika J-Intech (Journal of Information and Technology) Mavis : Jurnal Desain Komunikasi Visual Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal INFOTEL KOPEMAS IJISCS (International Journal of Information System and Computer Science) Journal of Information Technology Smatika Jurnal : STIKI Informatika Jurnal Mavis: Jurnal Desain Komunikasi Visual Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Rakhmad Maulidi
Universitas Telkom, Kampus Purwokerto, Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Penerapan Motion UI untuk Meningkatkan Pengalaman Pengguna dan Penyampaian Informasi pada Website Kampus Jihan Arifia Ramadhanti; Laila Isyriyah; Rakhmad Maulidi
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2039

Abstract

This research aims to develop a campus introduction website interface for STIKI Malang by implementing Motion UI to enhance information delivery effectiveness and user experience. Currently, the STIKI website uses a multi-page structure that requires visitors to open sub-menus separately to access information, resulting in significant resource consumption and long loading times. By transforming the website structure into a single-page application (SPA) and integrating dynamic animation elements through Motion UI, it is expected to increase engagement and conversion rates. Qualitative analysis results show significant improvements in user engagement and information comprehension, with page loading times drastically reduced to an average of 2.6 seconds. Evaluation using the User Experience Questionnaire (UEQ) also demonstrates significant improvements in attractiveness, clarity, efficiency, and stimulation aspects. This research concludes that implementing Motion UI on STIKI's single-page website successfully enhances user experience, access speed, and information delivery effectiveness. The results of this research can serve as a reference for developing interface design strategies for other educational institution websites
Perancangan Media Promosi Jasalindo Sport Sundri Natali; Rakhmad Maulidi; Rina Nurfitri
MAVIS : Jurnal Desain Komunikasi Visual Vol 4 No 02 (2022): Mavis : Jurnal Desain Komunikasi Visual
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/mavis.v4i02.790

Abstract

Jasalindo Sport design is a company engaged in rescue and diving, shipwrecking and the provision of diving equipment, the Company does not yet have a promotional media that can be known to the public. Therefore, it is necessary to design a media promotion Jasalindo Sport to improve the image of the company that can be known to the public and increase sales. The method of design using sadjiman Ebdi Sanyoto's method of collecting observation and interview data, with SWOT data analysis (Strengths, Weakness, Opportunities, and Threats (Threats) after that formed a final design that was then tested to the target audience. Jasalindo Sport's promotional media design resulted in a video company Profile and supporting media posters, brochures, catalogs, x-banners, published on youtube, Instagram, Facebook. In conclusion, the resulting media certainly has advantages and disadvantages in helping to introduce Jasalindo Sport.
Aksara Jawa Sebagai Ide Dasar Perancangan Typeface Kampung Tembalangan. Bernardus Satria Agasta Dwi Cahyono; Rakhmad Maulidi; Mahendra Wibawa
MAVIS : Jurnal Desain Komunikasi Visual Vol 5 No 01 (2023): Mavis : Jurnal Desain Komunikasi Visual
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/mavis.v5i01.874

Abstract

Tembalangan is a densely populated urban settlement located on Bunga Kumis Kucing Street in the city of Malang, East Java. This vibrant community holds tremendous potential, ranging from its rich natural resources to its captivating historical and cultural heritage. The natural resource potential of Tembalangan is evident in its proximity to the Brantas River and the presence of three natural water sources that are still utilized by the local residents. Additionally, the village boasts a rich historical and cultural legacy, with traces of the ancient Hindu kingdom civilization. However, the passage of time has gradually eroded some of this potential. In response to these challenges, designers have been motivated to craft and enhance one aspect of the visual identity, with the ultimate goal of making Tembalangan more widely recognized and celebrated for the unique character that has flourished within its urban landscape.
Pelatihan Pemanfaatan Tools AI untuk Pembuatan Media Pembelajaran bagi Guru SMP Negeri 16 Malang Yekti Asmoro Kanthi; Mukhlis Amien; Daniel Rudiaman Sijabat; Jozua F Palandi; Rakhmad Maulidi
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 3 No. 1 (2025): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v3i1.1809

Abstract

Ditengah perkembangan teknologi AI yang semakin pesat, guru sebagai seorang pendidik dituntut tidak hanya menguasai materi pelajaran tetapi juga harus memiliki ketrampilan teknologi dan pemahaman mendalam tentang bagaimana mengintegrasikan teknologi dalam proses pembelajarannya supaya siswa lebih tertarik dan termotivasi dalam mengikuti kegiatan pembelajaran di kelas. Pelatihan pemanfaatan tools AI menjadi jembatan bagi guru SMP Negeri 16 Malang untuk dapat meningkatkan kompetensi guru dalam mengembangkan media pembelajaran yang menarik, interaktif, dan komunikatif menggunakan teknologi AI. Kegiatan pelatihan ini diikuti oleh 62 guru SMPN 16 Malang secara tatap muka, yang terdiri dari teori, praktik langsung, tanya jawab dan evaluasi. Peserta diperkenalkan pada konsep dasar AI, cara penggunaan tools, serta tips dan studi kasus implementasinya dalam pembelajaran. Hasilnya, para guru menunjukkan antusiasme tinggi, aktif dalam sesi tanya jawab, dan mampu menyelesaikan tugas pembuatan media pembelajaran berbasis video. Kendala utama yang ditemui adalah koneksi internet yang kurang stabil. Meskipun demikian, pelatihan ini berhasil meningkatkan pemahaman dan keterampilan guru dalam mengintegrasikan AI ke dalam proses pembelajaran di kelas.
Machine Learning-Based Malware Detection: A Critical Comparative Analysis of Random Forest, Naive Bayes, and Neural Network on Imbalanced Datasets Muhamad Hanif Rafiq Sulaeman; Rakhmad Maulidi
JURNAL INFOTEL Vol 17 No 4 (2025): November
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i4.1413

Abstract

Malware detection remains a major challenge in cybersecurity as threats become increasingly complex. This study critically compares three machine learning algorithms Random Forest, Naive Bayes, and Neural Network for automated malware detection using a large, imbalanced dataset (131,574 samples, 57 features). Class imbalance is addressed with SMOTE (Synthetic Minority Oversampling Technique), and preprocessing includes feature selection (SelectKBest), normalization (StandardScaler), and outlier handling. Evaluation metrics include accuracy, Precision, recall, F1-score, and AUC-ROC, using 5-fold cross-validation. Results show Random Forest achieves the highest accuracy (98%, AUC-ROC 0.998), followed by Neural Network (95%, AUC-ROC 0.95), and Naive Bayes (93%, minority class recall 0.80). Feature analysis identifies ImageBase and ResourcesMinSize as key contributors. This study highlights the effectiveness of ensemble methods and the critical importance of addressing class imbalance for robust malware detection. Limitations and implications for real-world deployment are discussed.
Co-Authors Adi Bayu Permadi Agnes Nola Sekar Kinasih Arif Tirtana Bagus Kristomoyo Kristanto Bernardus Satria Agasta Dwi Cahyono Chaulina Alfianti Oktavia Daniel Rudiaman Sijabat Evy Poerbaningtyas Evy Poerbaningtyas Fandi, Achmad Zaza Sandri A Febry Eka Purwiantono Imron, Mokhammad Ali Jihan Arifia Ramadhanti Jozua F Palandi Jozua Ferjanus Palandi Kusuma, Bibie Hadi Laila Isyriyah Laila Isyriyah Listianti, Prima Mahendra Wibawa Muhamad Hanif Rafiq Sulaeman Muhammad Bima Indra Kusuma Mukhlis Amien Nando Suchlistio Pramuda Nashihah, Mustafidatun Nira Radita Paradise, Paradise Ramadhanti, Jihan Arifia Rina Nurfitri Rina Nurfitri Shaquille Akbar Demsi Siti Aminah Siti Aminah Subari Sundri Natali Yekti Asmoro Kanthi Yohanes Dwi Listio