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All Journal Sainteks Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Jurnal Informatika JRST (Jurnal Riset Sains dan Teknologi) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal E-Komtek Jurnal Sistem Komputer dan Informatika (JSON) Journal of Soft Computing Exploration Jurnal Pengabdian Teknik dan Sains (JPTS) Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Dimara Kusuma Hakim
Universitas Muhammadiyah Purwokerto
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mechanical Engineering Medicine & Pharmacology

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Analysis of Smartphone Camera Stabilization Based on Gyroscope Using Exponential Smoothing in Mobile Applications Suci Lestari MS; Tito Pinandita; Dimara Kusuma Hakim
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3285

Abstract

Camera usage on mobile devices under dynamic conditions frequently induces vibration (jitter) and unstable orientation changes. This study aims to analyze the effectiveness of the Exponential Smoothing method in reducing rotational fluctuations of a gyroscope-based smartphone camera in a mobile application. An experimental approach was employed across six movement scenarios, namely stationary conditions, slow movement, fast movement, walking, stair climbing, and vehicle riding, by measuring rotation angle values and jitter values before and after stabilization. The results indicate a significant reduction in jitter following the application of Exponential Smoothing across all testing scenarios. The gyroscope-based stabilization system utilizing this method is proven effective in improving smartphone camera rotation stability in mobile applications.
Next-Gen Academic Workflow: Integrating LaTeX and AI in the DIKI Community Service Program Dimara Kusuma Hakim; Aris Rakhmadi
Jurnal Pengabdian Teknik dan Sains (JPTS) Vol. 6 No. 2 (2026): Juli 2026
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

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Abstract

Perkembangan teknologi digital dan kecerdasan buatan (Artificial Intelligence/AI) telah membawa perubahan signifikan dalam dunia akademik, khususnya dalam proses penulisan, pengelolaan referensi, dan analisis data. LaTeX sebagai sistem penyusunan dokumen ilmiah tetap menjadi standar emas dalam penulisan akademik karena konsistensi dan fleksibilitasnya. Integrasi LaTeX dengan AI membuka peluang terciptanya Next-Gen Academic Workflow yang lebih efisien, produktif, dan adaptif terhadap kebutuhan akademisi. Kegiatan pengabdian masyarakat melalui Webinar Abdimas DIKI pada tanggal 26 Juni 2026 bertujuan memperkenalkan konsep integrasi LaTeX dan AI kepada dosen, mahasiswa, dan praktisi akademik. Metode pelaksanaan berupa workshop daring dengan tahapan perencanaan materi, persiapan teknis, demonstrasi langsung, serta dokumentasi dan evaluasi. Materi mencakup instalasi LaTeX, penulisan dokumen dasar, penyusunan tabel dan gambar, pengelolaan kutipan dengan BibTeX, serta pemanfaatan AI untuk pencarian referensi, interpretasi hasil analisis, dan koreksi sintaks. Hasil kegiatan menunjukkan ketercapaian indikator yang baik: tingkat kehadiran peserta mencapai 90%, partisipasi aktif dalam diskusi 73%, keberhasilan mencoba skrip LaTeX sederhana 68%, pemahaman integrasi AI 80%, dan motivasi mengadopsi workflow baru 84%. Hambatan yang muncul terutama terkait instalasi perangkat lunak dan isu etika penggunaan AI, namun hal ini justru memperkaya diskusi kritis. Kesimpulannya, kegiatan ini berhasil meningkatkan literasi digital, keterampilan teknis, serta motivasi peserta untuk mengadopsi workflow akademik generasi baru. Pengabdian masyarakat berbasis teknologi digital ini dapat menjadi model berkelanjutan untuk memperkuat kualitas publikasi ilmiah dan mendukung implementasi Tri Dharma Perguruan Tinggi.
Penerapan Metode RAD pada Sistem Informasi Point Of Sales dengan Integrasi Payment Gateway di Kedai Ngopi Ngopi Hafez Nizamuddin Salim; Ridho Muktiadi; Dimara Kusuma Hakim; Agung Purwo Wicaksono
Jurnal E-Komtek Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2608

Abstract

Kedai Ngopi Ngopi faces several operational challenges, including the absence of a digital menu display, manual transaction recording, and limited payment methods. This study aims to develop a web-based information system integrated with sales and digital payment functionalities. The system development was carried out using the Rapid Application Development (RAD) method, which emphasizes speed and active user involvement through iterative processes. The developed system includes product management, transaction recording, order notifications, and integration with a digital payment system. Testing results show that the system significantly improves operational efficiency, expands available payment methods, and enhances the overall customer service experience.
Microsite Sebagai Media Publikasi Interaktif Guru-Guru Madrasah Ibtidaiyah Muhammadiyah (Mim) Pasirmuncang Feri Wibowo; Lahan Adi Purwanto; Harjono Harjono; Nur Isna Inayati; Dion Romodhon; S Supriyono; Dimara Kusuma Hakim; Muhammad Hamka
Jurnal Pengabdian Teknik dan Sains (JPTS) Vol. 6 No. 1 (2026): Januari 2026
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

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Abstract

MIM Pasirmuncang merupakan sekolah yang sedang berkembang, baik dari segi infrastruktur maupun pengembangan sumber daya manusia. MIM Pasirmuncang memiliki potensi untuk menjadi sekolah yang maju dan unggul di wilayah Purwokerto, karena dilihat dari segi jumlah siswa bisa dikatakan terus bertambah walaupun belum signifikan. Permasalahan yang dihadapi mitra adalah pengembangan inovasi untuk publikasi. Data dan informasi baik dari informasi statis maupun informasi yang sifatnya dinamis masih belum diolah dengan baik dan belum terpublikasikan secara rutin melalui media digital. Hal ini mengakibatkan keterbatasan dalam menyebarkan informasi kepada orang tua, siswa, dan masyarakat secara luas. Selain itu tanpa media online yang memadai, informasi yang disajikan kurang menarik dan kurang mudah dipahami oleh masyarakat. Salah satu yang dapat dilakukan adalah dengan melakukan pengembangan inovasi digital menggunakan microsite. Inovasi digital microsite yang ditawarkan yaitu pembuatan kanal khusus yang bisa digunakan sebagai wadah atau media publikasi MIM Pasirmuncang yang memungkinkan untuk publikasi berbagai jenis elemen multimedia seperti teks, gambar, video, dan infografis. Selian itu, microsite dapat menjadi platform untuk berkomunikasi dengan orang tua, siswa, dan masyarakat setempat. Fitur komentar atau formulir umpan balik dapat meningkatkan interaksi dan partisipasi masyarakat
Speech Emotion Recognition in Male Speech Using 58-Dimensional MFCC Features and Random Forest Classification Aris Rakhmadi; Dewi Soyusiawaty; Irma Yuliana; Dimara Kusuma Hakim
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 2 No. 1 (2026)
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Speech emotion recognition (SER) has developed into a significant research topic in affective computing and human–computer interaction because emotional cues embedded in speech signals can enhance communication between humans and intelligent systems. However, accurately identifying emotional states from speech remains challenging due to dissimilarities in acoustic patterns, speaker features, and recording situations. This study investigates the effectiveness of Mel-Frequency Cepstral Coefficient (MFCC) acoustic features for emotion recognition in male speech using a Random Forest classification model. The dataset used in this research consists of 35,910 male speech samples, each represented by a 58-dimensional MFCC feature vector extracted from emotional speech recordings. The speech samples are categorized into eight emotional classes: angry, fear, calm, disgust, neutral, happy, sad, and surprise. To develop and evaluate the model’s performance, the MFCC data were divided into 80% for training and 20% for testing. The Random Forest model was trained to learn emotional patterns embedded in MFCC features. The experimental findings reveal that the proposed approach achieved an overall classification accuracy of 84.33% with a macro-average F1-score of 0.856, indicating relatively stable performance across multiple emotional categories. Feature importance analysis further reveals that lower-order MFCC coefficients play a dominant role in emotion classification. These findings demonstrate that MFCC features combined with Random Forest classification provide an effective baseline approach for SER and offer valuable insights for future research involving more advanced machine learning models.
Co-Authors Abid Yanuar Badarudin Achmad Fauzan Achmad Fauzan Agung Purwo Wicaksono Agung Purwo Wicaksono Anggi Restu Perdana Aris Rakhmadi Aulia Nur Aini Dewi Soyusiawaty Dion Romodhon Dwi Yoga Yulianto Elindra Ambar Pambudi elindra ambar pambudi Ermadi Satriya Wijaya Feri Isnanto Feri Wibowo Feri Wibowo Fima Rizqina Mubaroka Fitriani, Maulida Ayu Hafez Nizamuddin Salim Harjono Hidayat Abdul Aziz Hindayati Mustafidah Inayati, Nur Isna Irma Yuliana Johan Kun Riyanto Kesy Apriansyah Lahan Adi Purwanto Maulida Ayu Fitriani Maulida Ayu Fitriani Mr. Harjono, Mr. Muhammad Hamka Nooriza Modistira Sakti pambudi, elindra ambar Ridho Muktiadi Ridzna Asep Purwanto S Supriyono Saputri, Devi Septian Adi Nugroho Sigit Sugiyanto Suci Lestari MS SUPRIYONO Tito Pinandita Viki Flendiansyah Widyantri, Shafrila