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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi SEINASI-KESI Technologia: Jurnal Ilmiah Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) Community Empowerment Jurnal Abmas Negeri (JAGRI) Jurnal Mandiri IT CEBONG Journal
Bambang Saras Yulistiawan
Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Enhancing application design for integrated evaluation through user-centered prototyping with figma Tiana, Ade Hikma; Prasetyo, Rizky Tito; Yulistiawan, Bambang Saras; Masruriyah, Anis Fitri Nur
Jurnal Mandiri IT Vol. 14 No. 2 (2025): October: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i2.462

Abstract

This study developed an integrated evaluation application using a User-Centered Design (UCD) approach combined with user-centered prototyping via Figma, aiming to improve academic service management in educational institutions. The application focused on four main features: service request submission, complaint reporting, lecturer evaluation, and a knowledge base for self-service solutions. Requirements were gathered through questionnaires and interviews with students, lecturers, and faculty leaders to ensure the design met user needs. The prototype was iteratively refined based on quantitative and qualitative evaluations using Likert scale questionnaires. Results showed high user satisfaction with an average score of 4.41, indicating excellent usability, visual appeal, and feature relevance. Thematic analysis highlighted key themes of ease of use, interface consistency, and system security. The integrated UCD and Figma prototyping approach proved effective in producing an adaptive, interactive, and user-friendly application design that supports continuous improvement in academic services.
Pemanfaatan Teknologi Digital dalam Upaya Meningkatkan Daya Jual Produk UMKM Yulistiawan, Bambang Saras; Hananto, Bayu; PD, Catur Nugrahaeni; Handayani, Lusia
Jurnal Abmas Negeri (JAGRI) Vol. 5 No. 1 (2024): Volume 5 Nomor 1 Juni 2024
Publisher : Sarana Ilmu Indonesia (salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36590/jagri.v5i1.847

Abstract

Pengembangan UMKM di suatu daerah memiliki potensi besar untuk menggerakkan pertumbuhan ekonomi lokal, tantangan dalam hal pemasaran dan akses terhadap teknologi digital sering kali menghambat UMKM pesisir untuk bersaing secara efektif di pasar yang semakin kompetitif. Mengidentifikasi dan memahami kebutuhan khusus UMKM di daerah pesisir adalah langkah penting dalam merancang strategi pemasaran yang efektif. Setiap UMKM mungkin memiliki kebutuhan yang berbeda tergantung pada jenis produk, pasar target, dan karakteristik lokal. Hal tersebut juga dialami oleh kelompok UMKM Desa Pabean Udik Indramayu, kesulitan dalam pemasaran menjadi permasalahan kurangnya pemahaman manfaat digital menjadi suatu permasalahan. Tujuan dari kegiatan ini adalah untuk sosialisasi penggunaan media sosial untuk memasarkan produk UMKM, dengan meningkatkan pengenalan teknologi bagi masyarakat pelaku UMKM di desa tersebut. Metode yang digunakan adalah pelatihan pembuatan fanpage dan pembuatan konten media sosial serta penyuluhan konsep digital marketing kepada 7 kelompok UMKM yang hadir. Hasil dari kegiatan ini adalah para peserta berhasil memahami cara membuat fanpage bisnis di Facebook, merancang strategi pemasaran digital yang lebih efektif di berbagai platform media sosial, serta menciptakan konten pemasaran yang menarik dengan meningkatkan literasi digital. Kesimpulan dari kergiatan ini adalah Pengabdian masyarakat melalui pembuatan platform digital untuk Usaha Mikro Kecil dan Menengah (UMKM) adalah contoh konkret bagaimana teknologi digital dapat memberdayakan UMKM, memberi mereka alat yang diperlukan untuk bersaing di era ekonomi digital yang semakin penting.
Analisis dan Perancangan Aplikasi Fathforce Starter Kit Pro di PT. Inovasi Media Menggunakan Framework Laravel Niqotaini, Zatin; Yulistiawan, Bambang Saras; Gusti, Kharisma Wiati; Zaidiah, Ati; Yoga, Titan Parama
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.35656

Abstract

Today's technological advances are inseparable from the role of applications, which are software that combines certain functions and can be downloaded by users. Abundant app services are available in the Apple Store for iPhone and Play Store for Android. PT Inovasi Media, a Professional Website Development Services company, needs an application that can facilitate website development. Using Laravel's built-in Starter Framework, the company seeks to develop a Starter Framework specifically for website development, which is open source so that it can be accessed and modified by many people. The research stages involve Literature Study, Observation, Interviews, Data Collection, Design, Implementation, and Evaluation. Application design is done using UML (Unified Modelling Language) as well as user interface. Overall, the web app is open source, giving access and modification capabilities to anyone who needs it.
Developing the Adaptive Digital IT Governance Framework for Next-Generation IT Governance Bambang Saras Yulistiawan; Rifka Widyastuti; RR Octanty Mulianingtyas; Galih Prakoso Rizky A; Hengki Tamando Sihotang
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i1.5628

Abstract

The increasing complexity of digital transformation requires an adaptive, measurable, and contextaware IT governance model. However, existing frameworks such as COBIT, ITIL, TOGAF, and ISO/IEC 38500 tend to be partial and prescriptive, failing to address strategic, operational, and innovative needs holistically. This study proposes the Adaptive Digital IT Governance Framework, anovel governance model synthesized from eleven leading IT frameworks and structured into three integrated domains: Govern, Manage, and Adapt. Employing a Design Science Research methodology, the model was developed through a systematic framework analysis, conceptual domain formulation, iterative implementation mapping, and the design of a maturity assessment instrument. The results demonstrate that the Adaptive Digital IT Governance Framework offers a modular, scalable, and value-driven governance solution suited for diverse organizational contexts. Theoretical contributions include extending the IT governance paradigm by integrating strategic alignment, agile governance, and digital sustainability. Practically, the framework provides actionable guidance for designing, assessing, and enhancing digital governance systems across sectors. Unlike previous cross-framework synthesis efforts, the Adaptive Digital IT Governance Framework explicitly introduces the Adapt domain, operationalizing governance agility, innovation capability, and sustainability measurement. This makes the Adaptive Digital IT Governance Framework the first modular, maturity-oriented framework that simultaneously integrates strategy, operations, and adaptability, positioning it as a next-generationmodel to support organizational resilience and sustainable digital transformation.
Towards Autonomous Digital Governance: Integrating AI, Data Governance, and Smart Infrastructure for Future Government Bambang Saras Yulistiawan; Galih Prakoso Rizky A
Jurnal Teknik Informatika C.I.T Medicom Vol 17 No 6 (2026): Computer Science
Publisher : Institute of Computer Science (IOCS)

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Abstract

The rapid advancement of digital technologies has transformed public governance, evolving from e-government to more integrated digital government systems. However, the transition toward fully autonomous digital governance remains limited. This study aims to analyze how the integration of Artificial Intelligence (AI), data governance, and smart infrastructure can enable the development of autonomous digital governance systems. Using a mixed-method approach, this research combines a systematic literature review and case study analysis with quantitative survey data to examine the relationships between key variables, including AI capability, data governance quality, and infrastructure readiness. The findings indicate that the integration of these components significantly contributes to the formation of an autonomous decision-making system, which in turn enhances governance outcomes in terms of efficiency, transparency, and responsiveness. AI capability emerges as the most influential factor, particularly in enabling automation and predictive analytics, while data governance ensures the reliability and accountability of data-driven processes. Smart infrastructure supports real-time data collection and system connectivity, although disparities in infrastructure readiness remain a challenge. The study also identifies key benefits of autonomous digital governance, including faster decision-making, reduced human bias, and the development of predictive public services. However, several risks are highlighted, such as ethical concerns, privacy issues, and over-reliance on technology. This research proposes an integrated conceptual model of autonomous digital governance, emphasizing the need for synergy between technological and institutional components. The study contributes to the advancement of digital governance theory while providing practical insights for policymakers in designing future-ready governance systems.
A Unified Artificial Intelligence Driven Data Governance Framework for Decision Intelligence in Smart Digital Ecosystems Bambang Saras Yulistiawan
Jurnal Teknik Informatika C.I.T Medicom Vol 18 No 1 (2026): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research proposes a Unified Artificial Intelligence–Driven Data Governance Framework to enhance decision intelligence in smart digital ecosystems. The rapid growth of technologies such as the Internet of Things (IoT), smart cities, and digital platforms has led to an exponential increase in data volume and complexity, creating challenges related to data silos, poor data quality, lack of governance standards, and ineffective decision-making. While artificial intelligence (AI) has been widely adopted to address analytical needs, existing approaches often fail to integrate data governance with AI-driven decision processes, resulting in unreliable and less transparent outcomes. To address this gap, this study develops a multi-layered framework that integrates data governance, AI, and decision intelligence into a unified architecture. The proposed framework consists of a data layer, governance layer, AI layer, decision layer, and application layer, supported by key components such as data integration modules, data quality engines, policy enforcement mechanisms, AI model management, and decision support systems. A prototype-based methodology is employed to evaluate the framework using machine learning models and optimization techniques within simulated smart ecosystem environments. The results demonstrate that the proposed framework significantly improves decision accuracy, data quality, and system reliability while maintaining acceptable processing time and scalability. Compared to traditional systems and non-governed AI models, the framework provides enhanced transparency, accountability, and compliance. However, challenges related to computational cost, system complexity, scalability, and ethical considerations such as bias and fairness remain. This research contributes to the field by presenting a comprehensive and scalable solution that bridges the gap between AI and data governance.
Dynamic portfolio optimization using differential evolution: a Markowitz modern portfolio theory approach Hengki Tamando Sihotang; Jonson Manurung; Bambang Saras Yulistiawan; Galih Prakoso Rizky A.
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i3.pp2449-2458

Abstract

An optimal investment portfolio is one of the main focuses in the financial world to minimize risk while maximizing returns. However, the challenge that arises is how to choose the right asset allocation amidst dynamic market uncertainty. This study aims to optimize portfolios based on Markowitz modern portfolio theory (MPT) by using the differential evolution (DE) algorithm as an optimization technique. The data used includes stocks, bonds, and other financial instruments taken from trusted data sources, such as Bloomberg and Yahoo finance, with an observation period of the last five years. The results show that this approach succeeds in finding optimal portfolios with the right asset weights, higher expected returns, and minimized risks compared to conventional approaches. The implication of this research is that the DE algorithm can be effectively used to address portfolio optimization problems in complex and volatile market environments, offering a more adaptive solution for investors to maximize their returns.
Co-Authors Andhika Octa Indarso Bambang Yuwono Catur Nugrahaeni Puspita Dewi Erly Krisnanik Fitri Nur Masruriyah, Anis Galih Prakoso Rizky A Galih Prakoso Rizky A Galih Prakoso Rizky A. Hananto, Bayu Handayani, Lusia Hengki Tamando Sihotang Hesti Indriana, Intan Jonson Manurung Kharisma Wiati Gusti Mulianingtyas, RR Octanty Niqotaini, Zatin PD, Catur Nugrahaeni Pinastika, I Wayan Rangga Prasetyo, Rizky Tito Rahmawan, Fauzan Ahmat Rifka Widyastuti Rifka Widyastuti, Rifka Rio Wirawan Rizky A, Galih Prakoso RR Octanty Mulianingtyas Tiana, Ade Hikma Titan Parama Yoga Zaidiah, Ati