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All Journal CESS (Journal of Computer Engineering, System and Science) Al-Adyan: Jurnal Studi Lintas Agama al-Afkar, Journal For Islamic Studies Technomedia Journal Aptisi Transactions on Management CCIT (Creative Communication and Innovative Technology) Journal ADI Journal on Recent Innovation (AJRI) JOURNAL EDUCATIONAL OF NURSING(JEN) Jurnal Investasi ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Tahdzibi: Manajemen Pendidikan Islam Journal of Information System and Technology (JOINT) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Ranah Research : Journal of Multidisciplinary Research and Development SATIN - Sains dan Teknologi Informasi Seminar Nasional Inovasi Teknologi Jurnal Teknik Informatika dan Teknologi Informasi
Abdul Hamid Arribathi
Universitas Raharja
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Transportation Other

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Integrating Artificial Intelligence with 3D Printing Technology in Healthcare: Sustainable Solutions for Clinical Training Optimization Ikhsan, Ramzi Zainum; Rahayu, Sri; Arribathi, Abdul Hamid; Azizah, Nur
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1126

Abstract

Integrating Artificial Intelligence (AI) with 3D printing technology offers transformative solutions in healthcare, specifically improving clinical training through precise and customizable replicas of human anatomy. Traditional training methods face challenges such as limited access to high quality models, lack of precision, adaptability, and the environmental impact of resource use. This study employed a mixed methods approach, combining quantitative analysis of model accuracy and input from healthcare professionals, to evaluate the effectiveness of AI optimized 3D printing. The focus was on AI enhanced 3D printing models designed for healthcare training. Traditional methods often lack precision, adaptability, and scalability, limiting their effectiveness in dynamic healthcare scenarios. AI based 3D printing reduces material use by 30\% while providing high quality, customized training models, improving accessibility and sustainability. This research highlights the potential of AI and 3D printing integration to drive technological innovation, align healthcare training with Sustainable Development Goals (SDGs), and promote a more sustainable and efficient future in medical education.
Efektivitas Pelayanan Pendaftaran Diklat Berbasis AIRIS (Aplication Integrated Registration System) terhadap Kepuasan Peserta Diklat di Poltekpel Banten Abdul Hamid Arribathi; Sriyono Sriyono
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6251

Abstract

Digital transformation in public services is an effort to improve efficiency, transparency, and quality of service. Banten Maritime Polytechnic (Poltekpel Banten) as a Public Service Agency (BLU) has implemented the AIRIS (Application Integrated Registration System) online registration system to support the recruitment process of training participants, both new training participants and those upgrading their diplomas or certificates of seafaring skills training. The research method used is descriptive quantitative with data collection through questionnaires distributed to training participants who have used the AIRIS system. Data analysis was carried out using a Likert scale approach and effectiveness tests based on indicators of system quality, information quality, and service quality. The results of the study show that the implementation of AIRIS has a positive impact on increasing the efficiency of the registration process, data transparency, and ease of access to information for participants. Most respondents expressed a high level of satisfaction with the ease of use and speed of service provided by the system. However, several technical challenges, such as network disruptions and limited user guides for new users, were still encountered. Overall, AIRIS was deemed effective in improving the quality of training registration services and contributing to increased participant satisfaction. Therefore, it is recommended that it be further developed through feature optimization and increased digital infrastructure capacity.
Cyber Threats to Press Freedom Resulting from Media Account Hijacking Arribathi, Abdul Hamid; Kamal, Abdullah Arif; Ardien, Annisa
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.v10i3.2563

Abstract

The development of digital journalism has expanded the reach of information distribution, while simultaneously increasing the vulnerability of media organizations and journalists to cyber threats that may undermine press freedom. The hacking case involving Narasi.tv demonstrates that media account hijacking is not merely an individual digital crime, but a form of systemic violence and intimidation that affects journalistic integrity and public trust. This study aims to analyze the impact of media account hijacking on press freedom and to develop an applicable technical mitigation framework for digital media organizations. The research adopts a qualitative approach using a case study of the Narasi.tv hacking incident, supported by document analysis, reports from journalist organizations, and a review of the literature on cybersecurity and digital journalism. The findings indicate that collective cyberattacks generate significant psychological and operational impacts and function as a mechanism to suppress critical journalism. This study proposes a layered mitigation framework consisting of preventive technical mitigation, newsroom operational mitigation, and public communication mitigation. Theoretically, this research extends the study of cyber threats from an individual level vulnerability toward an institutional and systemic framework. From a managerial perspective, the findings emphasize that cybersecurity must be positioned as a strategic agenda in digital media transformation. This study is also aligned with the Sustainable Development Goals, particularly SDG 16, SDG 9, and SDG 4, in supporting the development of a secure, sustainable, and trustworthy digital media ecosystem.
Strategic Digital Leadership for Business Technology Innovation and Transformation Maulana, Imam Ryan; Arribathi, Abdul Hamid; Leonie, Natasha
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/z1fn9b75

Abstract

Amid rapid technological advancement, organizations are required to undertake digital transformation to remain competitive in the modern business landscape. However, successful transformation requires more than mere technology adoption because it demands strategic leadership capable of driving change, fostering innovation, and aligning organizational objectives with digital strategies. This study examines the role of strategic leadership in organizational digital transformation, highlighting leadership styles, strategic approaches, and key practices that contribute to successful digital change initiatives. Through a comprehensive literature review and case study analysis, the research identifies critical leadership behaviors and decision-making processes that influence the effectiveness of digital initiatives. The findings emphasize that transformational leadership, adaptability, and vision-driven strategies facilitate smoother transitions, enhance employee engagement, and cultivate a sustainable digital culture within organizations. The study also explores major challenges faced by leaders, including resistance to change, resource constraints, and the need to balance innovation with operational stability. The results indicate that strategic leaders who adopt collaborative and inclusive approaches are better positioned to navigate the complexities of digital transformation. By integrating technological capabilities with a clear strategic vision, leaders not only manage transformation processes effectively but also strengthen long-term organizational competitiveness in the evolving digital economy. The study concludes by outlining practical implications for organizational leaders and suggesting directions for future research on the evolving role of leadership in digital transformation.
OPTIMALISASI SEO DAN SEM UNTUK MENINGKATKAN PENJUALAN MELALUI WEBSITE E-COMERCE BERBASIS WORDPRESS-ELEMENTOR: Optimization of SEO and SEM to Increase Sales Through a WordPress-Elementor-Based E-Commerce Website Arribathi, Abdul Hamid; Herman, Dede
Jurnal Investasi Vol. 12 No. 2 (2026): Jurnal Investasi Vol. 12 No. 2
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/investasi.v12i2.390

Abstract

New era business actors are required to have effective and easily accessible promotional media, so an e-commerce website is needed. This research aims to design and develop a WordPress-based e-commerce website using Elementor as a page builder, as well as optimize it through the application of Search Engine Optimization (SEO) and Search Engine Marketing (SEM) to improve promotion and sales performance. The research methods and procedures include needs analize, website appearance and structure design, WooCommerce configuration, and implementation of on-page and off-page SEO strategies. The SEM stage is carried out through the creation of paid campaigns using Google Ads with a focus on keyword selection, ad copywriting, and performance monitoring through CTR, CPC, and conversion rate metrics. Website testing is conducted using PageSpeed Insight, GTMetrix, Google Analytics, and user evaluation to measure user experience (UX). The results of the study show that SEO optimization is able to increase website access speed, content relevance, and keyword ranking on search engines, so that organic traffic increases by more than 60%, thus increasing promotional reach and increasing CTR significantly, which has an impact on increasing the number of transactions. Meanwhile, the integration of WordPress Elementor-based website design and SEO and SEM optimisation has a positive impact on the effectiveness of promotional media and increased sales. These findings can be used as a reference in the development of digital marketing strategies for MSMEs and companies that want to increase competitiveness in the online market
PENINGKATAN STRATEGI PROMOSI BERBASIS METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN MAHASISWA BARU: Enhancing Promotion Strategies Using the Analytical Hierarchy Process (AHP) Method in a Decision Support System for New Student Admissions Arribathi, Abdul Hamid; Esmeralda, Esmeralda
Jurnal Investasi Vol. 12 No. 2 (2026): Jurnal Investasi Vol. 12 No. 2
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/investasi.v12i2.391

Abstract

There are still some universities and colleges in accepting new students where the selection process and the promotion strategy implemented are still general and not fully based on in-depth data and analysis. For this reason, the development of information technology can be used to build a decision support system (SPK) to help the selection process for new student admissions that is more objective, measurable, and systematic. One of the relevant methods in decision-making is the Analytical Hierarchy Process (AHP). This method is able to break down complex problems into simpler structures and calculate the weight of each of the criteria that are considered important. With the application of the AHP method in SPK, a university or college can determine priorities in the selection of prospective students and evaluate the effectiveness of the promotion strategy that has been carried out based on the analyzed data. Thus, it can improve the quality of new student admissions while optimizing resources in campus promotion.
Analisis Kepuasan Pengguna Sistem SpoolTag pada Manajemen Informasi Pipe Spool Industri Fabrikasi Oil and Gas Munir, Abdul; Arribathi, Abdul Hamid; Lubis, Arina Luthfini
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i3.2098

Abstract

The oil and gas fabrication industry is characterized by a high level of complexity, requiring an information management system capable of supporting accurate, timely, and integrated pipe spool management. One of the tools used for this purpose is the spooltag system, which functions as a spool identification tool throughout the fabrication and installation processes. However, in practice, several issues are still encountered, including data inconsistencies, differences in standardization across projects, delays in locating spools, and the lack of an effective digital tracking system. This study aims to analyze user satisfaction with the pipe spool information management system and to identify existing problems as well as development needs related to the spooltag system in the oil and gas fabrication industry. This research employed a descriptive quantitative approach using a survey method through the distribution of online questionnaires based on a Likert scale to 20 respondents consisting of practitioners such as Piping Engineers, Fabrication Engineers, Construction Engineers, Material Controllers, Supervisors, and other related personnel. The data were analyzed descriptively using bar charts and respondent perception analysis, supported by the evaluation of open-ended responses. The findings reveal that the majority of respondents perceived the current spooltag system as beneficial for identifying spools in the field, facilitating material retrieval in laydown areas, supporting erection and installation activities, and improving coordination among departments. However, respondents also indicated that spooltag standardization still needs improvement, naming formats should be simplified and made more informative, and digital spool tracking systems as well as integration among drawing, fabrication, laydown, and installation processes are strongly required. Based on these findings, it can be concluded that the current spooltag system has provided significant benefits to project operations; however, further development toward a more standardized, digital, integrated, and user-friendly system is still necessary to enhance efficiency, accuracy, traceability, and productivity in oil and gas fabrication projects
Perbandingan Metode K-Means dan DBSCAN untuk Clustering Teks Pesan Menfess di Telegram Oktama Pangestu; Abdul Hamid Arribathi; Nur Azizah; Rahmat Hidayat
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 6 No 1 (2026): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol6No1.pp20-29

Abstract

Menfess messages on Telegram are a form of anonymous communication that generates large amounts of informal text data with linguistic characteristics such as slang, abbreviations, and spelling variations, posing challenges for computational text analysis. This study compares the performance of K-Means and DBSCAN in clustering menfess messages using Sentence-BERT embedding through the paraphrase-multilingual-MiniLM-L12-v2 model across three text length scenarios: short (0–20 words), medium (55–128 words), and long (129–283 words), derived via word count clustering. Evaluation uses the Silhouette Score and Davies-Bouldin Index. For short texts, K-Means achieves 0.0804 and 3.8451, while DBSCAN produces 2 clusters with 0.3186, 1.3714, and 71.60% noise. For medium texts, K-Means obtains 0.1403 and 3.6490, while DBSCAN forms 1 cluster with 0.0450, 3.3405, and 74.60% noise. For long texts, K-Means obtains 0.0593 and 3.4552, while DBSCAN produces 2 clusters with 0.5492, 1.1069, and 79.67% noise. Results show that DBSCAN outperforms on short and long texts by evaluation metrics but produces very high noise across all scenarios, while K-Means demonstrates more stable performance by clustering all data without noise in every scenario.
Co-Authors Abdillah, Muhammad Ardiansyah Abdul Hayat Abdul Munir Ahmad Roihan Anggraeni, Lisda Ardien, Annisa Dedeh Supriyanti Dwiharyanto, Muhammad Adrian Erlangga, Mahesa Esmeralda, Esmeralda Fransiska Dika Mega Rosita Gestiarie, Riska Putri Gilang Kartika Hanum Haris Haris Herman, Dede Ikhsan, Ramzi Zainum Ilamsyah Ilamsyah, Ilamsyah jawahir, Jawahir Jungjunan, Sunan Reihan Kamal, Abdullah Arif leon yudi haryanto leon Leonie, Natasha Lisda Anggraeni Lubis, Arina Luthfini Lusyani Sunarya Maimunah, Maimunah Marfuddin, Ade Margono Mitrohardjono Maulana, Imam Ryan Mitrohardjono, Margono Nuke Puji Lestari Santoso Nur Azizah Nurdin Suryana Nurfitriani, Devi Nurussaadah Nurussaadah Oktama Pangestu Putra, Ardy Dzaky Abiyyu Putra, Lingga Buana Qurotul Aini Rahmat Hidayat Rinaldy Qodar Saputra Riska Putri Gestiarie Saryani Saryani Saryani SRI RAHAYU Sriyono Sriyono Syah, Adith Adriyan Tandilintin, Abert Untung Rahardja Wahyu Hidayat