Garuda - Garba Rujukan Digital

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

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

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

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.

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

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.

Dashboard Eksekutif Sebagai Media Koordinasi dan Monitoring Pelayanan Informasi Publik Badan Pemerintah XYZ Abdul Hamid Arribathi; Esmeralda Esmeralda; Muhammad Ropianto
Jurnal Responsive Teknik Informatika Vol 10 No 01 (2026): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v10i01.1477

Transparansi penyelenggaraan pemerintahan merupakan fondasi utama tata kelola yang bertanggung jawab dan berorientasi pada kepentingan publik. Amanat Undang-Undang Nomor 14 Tahun 2008 menegaskan kewajiban setiap badan publik untuk membuka akses informasi kepada seluruh lapisan masyarakat secara proaktif dan responsif. Penelitian ini merancang dan membangun Executive Information Dashboard sebagai instrumen terpadu untuk mendukung koordinasi internal dan pemantauan pelayanan informasi publik di lingkungan instansi pemerintah, dengan mengacu pada tahapan model waterfall yang meliputi analisis kebutuhan, desain sistem, pengkodean, verifikasi, serta pemeliharaan. Hasil evaluasi sistem menunjukkan bahwa teknologi dashboard terbukti efektif dalam menyajikan data secara dinamis dan real-time, menghasilkan tampilan informasi yang mudah dipahami, serta memperkuat kapasitas pengambilan keputusan oleh pimpinan maupun staf operasional. Verifikasi sistem dilakukan melalui black box testing untuk memastikan kesesuaian fungsionalitas, serta user acceptance test guna mengukur derajat kepuasan pengguna akhir. Penelitian ini menegaskan bahwa dashboard eksekutif berbasis web yang diimplementasikan menggunakan PHP dan MySQL mampu beroperasi secara optimal dan memberikan kontribusi nyata dalam meningkatkan efisiensi koordinasi, ketepatan monitoring, serta akuntabilitas penyelenggaraan layanan informasi publik. Kata Kunci: Keterbukaan Informasi Publik, Dashboard Eksekutif, Monitoring, Waterfall, Badan Pemerintah

Kerangka kerja berbasis knowledge graph untuk memprediksi kebutuhan infrastruktur ruang kelas di Universitas Ibnu Sina Batam Choirul Anam; Abdul Hamid Arribathi
Jurnal Responsive Teknik Informatika Vol 10 No 01 (2026): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v10i01.1480

Tujuan dari penelitian ini adalah untuk memprediksi kebutuhan infrastruktur ruang kelas di Universitas Ibnu Sina Batam dengan menggunakan kerangka kerja berbasis Knowledge Graph. Data utama yang digunakan dalam penelitian ini adalah data mahasiswa, program studi, jadwal kuliah, kapasitas ruang, dan penggunaan ruang kelas. Penelitian melibatkan proses pengumpulan data, pemrosesan dan integrasi data, pemodelan Gambar Pengetahuan, analisis kebutuhan ruang kelas, dan evaluasi hasil analisis. Hasil penelitian menunjukkan bahwa sistem berbasis Gambar Pengetahuan dapat mengintegrasikan berbagai sumber data ke dalam model pengetahuan yang terstruktur, yang memungkinkan analisis kebutuhan ruang kelas secara lebih sistematis. Kerangka kerja yang dibuat dapat digunakan sebagai dasar untuk membangun infrastruktur ruang kelas yang lebih efisien dan berkelanjutan.

Evaluasi Komparatif Forecasting PNBP BLU Berbasis SARIMAX terhadap Target Renstra Roberto; Abdul Hamid Arribathi
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3022

This study evaluates forecasting methods for predicting BLU X non-tax state revenue and examining its alignment with the 2025-2029 strategic plan targets. The dataset consists of monthly PNBP transactions from January 2021 to April 2026 aggregated by month, Chart of Account (COA), and department. Four approaches are compared: Holt-Winters, SARIMAX, XGBoost, and bottom-up forecasting based on dominant COA groups. Model performance is assessed on the January 2025-April 2026 test period using Mean Absolute Error, Root Mean Squared Error, and Mean Absolute Percentage Error. The results indicate that SARIMAX(1,1,1)x(0,0,0,0) performs best with a MAPE of 17.97%. The selected model is then refitted using the complete historical dataset and applied to forecast revenue through December 2029. The comparison with strategic plan targets reveals a narrow gap in 2025-2026, while 2027-2029 projections are slightly above the target. These findings show that forecasting can support evidence-based budgeting, target realism assessment, and monitoring of dominant revenue services.

Dashboard Eksekutif Sebagai Media Koordinasi dan Monitoring Pelayanan Informasi Publik Badan Pemerintah XYZ Abdul Hamid Arribathi; Esmeralda Esmeralda; Muhammad Ropianto
Jurnal Responsive Teknik Informatika Vol 10 No 01 (2026): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v10i01.1477

Transparansi penyelenggaraan pemerintahan merupakan fondasi utama tata kelola yang bertanggung jawab dan berorientasi pada kepentingan publik. Amanat Undang-Undang Nomor 14 Tahun 2008 menegaskan kewajiban setiap badan publik untuk membuka akses informasi kepada seluruh lapisan masyarakat secara proaktif dan responsif. Penelitian ini merancang dan membangun Executive Information Dashboard sebagai instrumen terpadu untuk mendukung koordinasi internal dan pemantauan pelayanan informasi publik di lingkungan instansi pemerintah, dengan mengacu pada tahapan model waterfall yang meliputi analisis kebutuhan, desain sistem, pengkodean, verifikasi, serta pemeliharaan. Hasil evaluasi sistem menunjukkan bahwa teknologi dashboard terbukti efektif dalam menyajikan data secara dinamis dan real-time, menghasilkan tampilan informasi yang mudah dipahami, serta memperkuat kapasitas pengambilan keputusan oleh pimpinan maupun staf operasional. Verifikasi sistem dilakukan melalui black box testing untuk memastikan kesesuaian fungsionalitas, serta user acceptance test guna mengukur derajat kepuasan pengguna akhir. Penelitian ini menegaskan bahwa dashboard eksekutif berbasis web yang diimplementasikan menggunakan PHP dan MySQL mampu beroperasi secara optimal dan memberikan kontribusi nyata dalam meningkatkan efisiensi koordinasi, ketepatan monitoring, serta akuntabilitas penyelenggaraan layanan informasi publik. Kata Kunci: Keterbukaan Informasi Publik, Dashboard Eksekutif, Monitoring, Waterfall, Badan Pemerintah

Kerangka kerja berbasis knowledge graph untuk memprediksi kebutuhan infrastruktur ruang kelas di Universitas Ibnu Sina Batam Choirul Anam; Abdul Hamid Arribathi
Jurnal Responsive Teknik Informatika Vol 10 No 01 (2026): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v10i01.1480

Tujuan dari penelitian ini adalah untuk memprediksi kebutuhan infrastruktur ruang kelas di Universitas Ibnu Sina Batam dengan menggunakan kerangka kerja berbasis Knowledge Graph. Data utama yang digunakan dalam penelitian ini adalah data mahasiswa, program studi, jadwal kuliah, kapasitas ruang, dan penggunaan ruang kelas. Penelitian melibatkan proses pengumpulan data, pemrosesan dan integrasi data, pemodelan Gambar Pengetahuan, analisis kebutuhan ruang kelas, dan evaluasi hasil analisis. Hasil penelitian menunjukkan bahwa sistem berbasis Gambar Pengetahuan dapat mengintegrasikan berbagai sumber data ke dalam model pengetahuan yang terstruktur, yang memungkinkan analisis kebutuhan ruang kelas secara lebih sistematis. Kerangka kerja yang dibuat dapat digunakan sebagai dasar untuk membangun infrastruktur ruang kelas yang lebih efisien dan berkelanjutan.

Hybrid Learning for Automated E-commerce Churn Prediction with XGBoost and SHAP Henry, Amir Acalapati; Arribathi, Abdul Hamid; Henderi, Henderi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2833

Customer retention is a critical challenge in the e-commerce industry, yet many platforms frequently suffer from a lack of explicit labels to identify potential defectors (churn). This research proposes a hybrid unsupervised-supervised learning framework to perform automated churn classification using the high-dimensional Olist Brazilian E-commerce dataset. The first stage employs K-Means Clustering to objectively generate churn labels based on Recency, Frequency, and Monetary (RFM) features. The second stage applies an Extreme Gradient Boosting (XGBoost) model, augmented by the Synthetic Minority Over-sampling Technique (SMOTE), to address the inherent class imbalance typical of transactional data. Experimental results demonstrate that the proposed model achieved a robust accuracy of 72% with a churn recall rate of 69%. Interpretability analysis using SHapley Additive exPlanations (SHAP) revealed that delivery duration and customer review scores are the most dominant predictors of churn, significantly outweighing financial metrics. These findings contribute a novel integration of automated labeling and model transparency, enabling e-commerce managers to implement proactive, data-driven customer retention strategies.

Title

Found 36 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 36 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 36 Documents
Search