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Peningkatan UX Melalui Perancangan dan Pengujian Sistem Pembelajaran Digital Berbasis Buku menggunakan Design Thinking Dian Ayu Cahyani; Irma Santikarama; Sigit Anggoro
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 2 (2025): Oktober 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i2.5372

Abstract

User Experience (UX) is a crucial aspect in determining the effectiveness of digital learning systems. This study aims to design and evaluate a book-based digital learning system prototype using the Design Thinking approach. The research was conducted through five stages: Empathize, Define, Ideate, Prototype, and Test. Data were collected using questionnaires, interviews, and observations involving students, lecturers, and publishers. The evaluation applied a triangulation strategy combining the System Usability Scale (SUS), heatmap analysis, and semi-structured interviews. The results indicate an average SUS score of 70, which is above the minimum benchmark of 68, although improvements are still needed in visual design and navigation. Heatmap analysis revealed that most navigation elements were successfully used, but some icons were not recognized and certain menus were rarely accessed. The interviews reinforced these findings, highlighting that the system supports lecturers in monitoring and enhances student engagement, yet issues remain regarding button color contrast, label consistency, and the speed of accessing large files. These results demonstrate that Design Thinking, when combined with triangulated evaluation, can produce a book-based digital learning system that is more interactive, adaptive, and collaborative. This study contributes to the literature by emphasizing that integrating user-centered design with triangulation methods can significantly improve UX quality in higher education digital learning contexts.
SISTEM MONITORING SERANGAN JARINGAN MENGGUNAKAN INTRUSION DETECTION SYSTEM (IDS) DENGAN NOTIFIKASI TELEGRAM Givan Yandiputra Sunardi; Ade Kania Ningsih; Sigit Anggoro
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 3 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i3.1086

Abstract

Kemudahan untuk mengakses jaringan internet, dapat membuat kemudahan kehidupan sehari hari seperti contohnya mengakses informasi. Namun semakin mudah pula untuk mengakses pengetahuan untuk melakukan kejahatan di internet, didukung dengan banyaknya aplikasi dan alat bantu untuk melancarkan serangan di internet. Setiap jaringan internet yang tersedia diperlukan sebuah monitoring khusus, terutama server jaringan yang memiliki data data penting didalamnya serta banyak aliran data. Serangan yang terjadi bisa berupa bruteforce, SQL Injection, Denial of Service dan serangan lainnya Serangan tersebut harus dimonitoring guna untuk mengetahui serangan, target serangan, jenis serangan dan informasi seputar serangan lainnya. Monitoring server jaringan dapat menggunakan metode IDS atau Intrusion Detection System yang berfungsi untuk medeteksi serangan yang terjadi di jaringan yang dicakup dan direkam menjadi sebuah file log. Berkas log tersebut berbentuk teks yang mudah dipahami oleh seorang administrator. Sistem monitoring tersebut dibuat berdasarkan log IDS, yang fungsinya untuk memudahkan seorang administrator dalam klasifikasi serangan, frekuensi terjadinya serangan, alamat penyerang dan informasi lainnya. Namun seorang administrator terkadang tidak selalu berada ditempat untuk monitoring, maka dari itu dibuatlah sebuah pesan peringatan otomatis jika terjadi serangan selama administrator tidak ditempat. Pesan peringatan dikirim secara real-time menggunakan aplikasi pesan gratis yang tersedia yaitu telegram bot agar memudahkan akses monitoring pesan peringatan.
Decentralized Decision Intelligence Using AI and Blockchain in Modern Enterprises Ayubi, M. Nizar; Anggoro, Sigit; Kareem, Yasir Mustafa
ADI Journal on Recent Innovation Vol. 7 No. 1 (2025): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i1.1320

Abstract

In the era of digital transformation, enterprises face increasing pressure to enhance transparency, operational efficiency, and trust in their decision making processes, especially in complex, data-intensive environments. While prior studies have separately explored the roles of Artificial Intelligence (AI) and Blockchain, few have examined their combined impact in creating decentralized and intelligent decision systems within real enterprise contexts. This study introduces a novel conceptual integration model that merges AI-driven analytics with blockchain-based validation mechanisms to enable transparent, traceable, and autonomous decision-making. By synthesizing AI predictive and analytical capabilities with blockchain immutable and distributed architecture, this research extends recent studies (2021-2025) by demonstrating how such convergence can eliminate central dependencies, enhance digital trust, and support data governance across departments. A qualitative case study approach was used to analyze organizations adopting AI blockchain frameworks, and the findings reveal new insights on interoperability, adaptive governance, and smart contract-driven autonomy. The study originality lies in its emphasis on the AI Blockchain synergy as a unified decision-intelligence infrastructure, contributing to the growing discourse on ethical and resilient enterprise systems.
Integration of HR Culture in Four Role Model for Smart Campus Anggoro, Sigit
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i3.2613

Abstract

Digital transformation in higher education is often constrained by the readiness of human resources. This study aims to analyze how military based organizational cultural values, namely discipline, loyalty, and courtesy strengthen the implementation of Dave Ulrich Four Roles of Human Resource model in supporting the transformation toward a Smart Military University. Using a qualitative case study approach at Jenderal Achmad Yani University, data were collected through in depth interviews observations and document analysis. The analysis visualized through a concept map shows that the interaction between the value of discipline and the Administrative Expert role has the highest frequency of references predominantly expressed by respondents from the ICT team and the administrative bureau. These findings indicate that data integrity within digital systems is highly dependent on compliance with established procedures. Meanwhile the value of loyalty emphasized by university leadership serves as the foundation of the Strategic Partner role in executing the institutional vision while courtesy underpins the Employee Champion role in delivering services. This study demonstrates that local cultural values constitute a determining variable for the successful performance of human resource management functions in the digital era.
Peningkatan Kapasitas UMKM dalam Perencanaan Strategis melalui Lean Product Canvas: Pengabdian kepada Masyarakat di Kalurahan Bangunjiwo Renaldi, Faiza; Santikarama, Irma; Pudjiantoro, Tacbir Hendro; Anggoro, Sigit; Destiani, Dea; Wati, Krisna Mutiara; Astusi, Murwani Eko; Cahyono, Edhy Tri; Pradana, Wina Driyan; Damayanti, Rizki Wahyuning; Viyani, Ari Okta
Jurnal Abdimas Kartika Wijayakusuma Vol 7 No 1 (2026): Jurnal Abdimas Kartika Wijayakusuma (in Progress)
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v7i1.1282

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan untuk meningkatkan kemampuan pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) dalam menyusun perencanaan usaha yang lebih terarah, adaptif, dan sesuai dengan kebutuhan pasar melalui pendekatan Lean Product Canvas (LPC). Permasalahan yang banyak dijumpai pada UMKM meliputi belum adanya perencanaan strategis tertulis, lemahnya pemahaman terhadap kebutuhan pelanggan, serta belum jelasnya nilai keunggulan produk dan strategi pengembangan usaha. Pelaksanaan kegiatan dilakukan melalui beberapa tahapan, yaitu persiapan, pelatihan, pendampingan, dan evaluasi. Pada tahap pelatihan, peserta diberikan pemahaman mengenai konsep Lean Product Canvas dan fungsi setiap komponennya, mulai dari identifikasi masalah pelanggan, perumusan solusi, penentuan segmen pasar, hingga perencanaan biaya dan pendapatan. Selanjutnya, pendampingan dilakukan secara langsung untuk membantu peserta menyusun Lean Product Canvas berdasarkan kondisi usaha masing-masing. Evaluasi dilakukan melalui observasi, diskusi, dan penilaian terhadap hasil canvas yang disusun peserta. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta dalam menyusun rencana usaha, semakin jelasnya arah pengembangan produk, serta meningkatnya kesiapan UMKM dalam menghadapi persaingan pasar. Peserta mampu menghasilkan dokumen Lean Product Canvas yang dapat digunakan sebagai dasar pengambilan keputusan dan perencanaan usaha jangka menengah.
Blockchain Integration to Enhance Federated Learning Model Integrity Anna, Yane Devi; Triandari, Sherli; Anggoro, Sigit; Yolandita, Ardirra; Valerry, Adele
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.929

Abstract

Federated Learning is a distributed machine learning approach that enables model training without transferring raw data, thereby preserving user privacy. To improve conciseness, overlapping explanations of FL’s privacy benefits across the Abstract, Introduction, and Literature Review have been consolidated, highlighting its importance in sensitive domains while removing redundancy. This allows greater emphasis on the study’s novelty, particularly the Smart Contract design featuring multi-layer verification and reputation checking mechanisms. Despite its advantages, FL faces significant challenges related to model integrity, including parameter manipulation, model poisoning attacks, and limited trust among participating nodes. This study explores the integration of blockchain technology to address these issues. Leveraging decentralization, immutability, and transparency, blockchain is used to validate model updates, record contributions, and manage node reputation. The study employs a literature review and technical architecture design for a blockchain-integrated FL system. The results indicate that blockchain implementation enhances the reliability and security of FL training, especially in low-trust environments, with strong relevance for healthcare, finance, and IoT applications.