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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CogITo Smart Journal APTIKOM Journal on Computer Science and Information Technologies (CSIT) Computer Science and Information Technologies Teknomatika (Jurnal Teknologi dan Informatika) Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Social Science Studies Jurnal Hukum Indonesia Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi)
Harya Gusdevi
Sekolah Tinggi Teknologi Bandung
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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PELATIHAN UNTUK MENINGKATKAN PENDAPATAN MASYARAKAT MELALUI PEMANFAATAN MEDIA ONLINE, VISUAL GAMBAR PRODUK & CARA MENGATUR BEBAN KERJA KARYAWAN DI KECAMATAN CIMAHI SELATAN Gusdevi, Harya; Hermawanto, Agus Rahmat; Indrayani, Rina; Nasser, Muchammad
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 1 No 1 (2020): APRIL 2020
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v1i1.832

Abstract

UMKM merupakan singkatan dari usaha mikro, kecil dan menengah. Usaha ini merupakan sumber pendapatan bagi sebagian besar masyarakat Indonesia. Peluang dalam bisnis kuliner memang cukup menjanjikan. Dalam membuka, menjalankan dan mengelola sebuah bisnis, bisa dilakukan oleh siapa saja. Contohnya ibu rumah tangga, karyawan, mahasiswa dan lain sebagainya. UMKM di kecamatan Cimahi Selatan sudah memproduksi hasil usaha secara baik di bidang kuliner. Salah satu contoh seperti UPPKS Aster dan UMKM Keripik Ubi Balado merupakan UMKM yang berada di Cimindi Timur RT 01 RW 23 Cimahi Selatan. Melihat dari tingkat keuntungan yang bisa diraih, sehingga mengharuskan adanya suatu kreativitas dan inovasi dalam usaha ini, karena kompetisi dunia kuliner semakin ketat. Salah satu cara untuk meningkatkan kreativitas dan inovasi yaitu dilakukannya suatu pelatihan
Neural Dynamic Network for Brain Tumor Classification: An Attention-Based Feature Selection Approach Naseer, Muchammad; Agustina, Nova; Gusdevi, Harya; Riyanti, Niken
CogITo Smart Journal Vol. 11 No. 2 (2025): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v11i2.989.430-446

Abstract

Magnetic Resonance Imaging (MRI) plays a vital role in the early detection of brain tumors. However, standard Convolutional Neural Network (CNN) models often struggle to extract truly relevant features from complex MRI structures. This limitation creates a gap in achieving robust and clinically interpretable classifications, as feature redundancy and weak attention toward tumor-specific regions may reduce diagnostic reliability. To address this gap, this study introduces a Neural Dynamic Network (NDN) that integrates EfficientNetV2S with a dynamic attention-based mechanism to adaptively highlight informative features while suppressing noise. The proposed model was evaluated using a 5-fold cross-validation scheme and tested on unseen data. Compared with the baseline CNN, the NDN consistently demonstrated higher accuracy, precision, recall, and F1-score across folds and final testing, reflecting improved robustness and balanced sensitivity. NDN yielded significant improvements, with the 5-fold validation averaging an accuracy of 88.44%, a precision of 87.84%, a recall of 87.88%, and an F1-score of 87.82%.  Beyond numerical performance, interpretability analysis utilizing Grad-CAM demonstrated that NDN generates more concentrated and clinically consistent heatmaps. In contrast, the baseline CNN produced dispersed activations that exhibited less alignment with tumor regions. Overall, the findings confirm that incorporating a dynamic attention-based mechanism substantially enhances both feature selection and visual interpretability. This makes the NDN architecture more reliable for MRI-based brain tumor classification and highly suitable as a decision-support tool in clinical workflows.
Blockchain-Based Evidence Legality in Indonesia's Criminal Justice System Naseer, Muchammad; Gusdevi, Harya; Rahayudin, Rahayudin; Guterres, Antonio
Jurnal Hukum Indonesia Vol. 5 No. 1 (2026): Jurnal Hukum Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jhi.v5i1.2351

Abstract

This study aims to analyze the legality of blockchain-based digital evidence in criminal justice processes in Indonesia, emphasizing two main focuses: the possibility of its admissibility as valid evidence and the identification of accompanying normative, technical, and procedural limitations. This study uses a normative juridical method through a legislative approach (the ITE Law, the Personal Data Protection Law, the Criminal Procedure Code, and Supreme Court Regulations), a conceptual approach (the concept of digital evidence, blockchain technology, and audit trails), a comparative approach (comparison of practices in several other jurisdictions), and a case approach through analysis of court decisions relating to electronic evidence. The results show that blockchain technology has significant potential to be recognized as evidence with strong probative value due to its characteristics of immutability, transparency, and traceability. However, this study also identifies several challenges, including the lack of specific regulations in the Criminal Procedure Code, potential conflicts with the principle of personal data protection, the absence of uniform digital audit trail standards, the heterogeneity of blockchain systems, and the limited technical capacity of law enforcement officials. These findings underscore the urgency of regulatory reform, standardization of evidentiary procedures, and strengthening the technical competence of law enforcement officials so that blockchain-based evidence can be implemented effectively and accountably in criminal proceedings. Practically, the results of this study provide a basis for policymakers to formulate a legal framework and technical policies that adapt to the use of blockchain technology in the criminal evidence system without neglecting the principles of human rights protection and legal certainty. Overall, this study contributes conceptually and normatively to the integration of blockchain technology into the Indonesian criminal justice system.
Co-Authors Abdul Fatah Ade Setya P Adhe Setya Pramayoga Agus Heryanto Agus Rahmat Hermawanto Ai Nurhayati Angling Sugiatna Arief Hertadi Rustam Dwiayu Lestari Edi Supriyadi Fahmi Abdullah, Fahmi Guterres, Antonio Hadhiwibowo, Ari Hena Sulaeman Hendi Suhendi Hermawanto, Agus Rahmat Ihsan, Candra Nur Jack Febrian Rusdi Jaelani, Widi Linggih Jeferson Siahaan Komara, Deri Melda Zulaiqah Mohamad Fikri Abu Bakar Muchammad Naseer Muchammad Nasser Muhammad Iqbal Muhammad Reksa Ariansyah Nasser, Muchammad Nesha Novianti Nova Agustina Puji Handini Zulaeha Putri Mutyaningsih Raden Meina Widiastuti Rahayudin Rahayudin Rendi Saputra Rina Indrayani Riri Mardaweni Risandi, Risal Riyanti, Niken Rizky Ramadan Setya, Ade Sindi Anriani Siti Sifa Maesaroh Sri Kuswayati Tarsinah Sumarni Taufan Ramadhan Zulaeha, Puji Handini