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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Scan : Jurnal Teknologi Informasi dan Komunikasi Knowledge Engineering and Data Science JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) MIND (Multimedia Artificial Intelligent Networking Database) Journal Warta Penelitian Perhubungan Jurnal Penelitian Transportasi Laut Jurnal Praksis dan Dedikasi Sosial Journal of Vocational Education Studies (JOVES) International Journal of Advances in Data and Information Systems Dinamika Bahari: Journal of Maritime Dynamic TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Journal of Dinda : Data Science, Information Technology, and Data Analytics Journal of Practical Computer Science (JPCS) Maritime Park: Journal Of Maritime Technology and Socienty Knowbase : International Journal of Knowledge in Database Journal Research of Social Science, Economics, and Management Innovative: Journal Of Social Science Research Bulletin of Social Informatics Theory and Application ITIJ Jurnal Riset & Teknologi Terapan Kemaritiman Warta Penelitian Perhubungan
Setiawan, Ariyono
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Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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Prediksi Ekspor Jasa Transportasi Indonesia Menggunakan LSTM Berbasis Data Perdagangan Global Terbuka SETIAWAN, ARIYONO; HANDOKO, WISNU; ABDUL HADI, ABDUL RAZAK BIN; ONN, CHOO WOU
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 10, No 2 (2025): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v10i2.130-144

Abstract

ABSTRAKPenelitian ini memprediksi nilai ekspor jasa transportasi Indonesia menggunakan model Long Short-Term Memory (LSTM) berbasis data terbuka perdagangan global dalam mengatasi pola nonlinier dan ketergantungan temporal. Peneliti melatih model LSTM tiga lapis dengan aktivasi ReLU dan optimasi Adam menggunakan data ekspor tahunan (2005–2023) dari World Bank dan UNCTAD, dengan pembagian data latih-uji 80:20. Model mencapai MAPE 0,89% dan koefisien korelasi r = 0,999 (p < 0,0001), menunjukkan presisi tinggi. Model secara akurat menangkap gangguan akibat pandemi dan tren pemulihan, menawarkan alat prediksi berbasis AI untuk perencanaan ekspor dan kebijakan perdagangan. Ini merupakan studi pertama yang menerapkan LSTM pada ekspor jasa transportasi Indonesia dengan data terbuka, memberikan kontribusi metodologis dan praktis untuk negara berkembang.Kata kunci: kecerdasan buatan, peramalan ekspor, Indonesia, LSTM, layanan transportasiABSTRACTThis study forecasts Indonesia’s transport service export values using a Long Short-Term Memory (LSTM) model based on open global trade data in capturing nonlinear patterns and temporal dependencies. A three-layer LSTM model is trained using ReLU activation and Adam optimization on annual export data from 2005 to 2023 sourced from the World Bank and UNCTAD. The dataset is split into 80% training and 20% testing portions. The model achieves a MAPE of 0.89% and a correlation coefficient of r = 0.999 (p < 0.0001), indicating high precision.The model accurately reflects pandemic-induced shocks and subsequent recovery trends, provides an AI-driven forecasting tool for export planning and trade policy. This is the first study to apply LSTM to Indonesia’s transport service exports using open data, contributing methodological advancement and practical value for developing economies.Keywords: artificial intelligence, export forecasting, Indonesia, LSTM, transport services
Comparative Readiness Assessment of ISPS Code Implementation in ASEAN Ports Wahyuni, A. A. Istri Sri; Setiawan, Ariyono; Handoko, Wisnu; Hidayati, Dewi; Abdul Hadi, Abdul Razak
Jurnal Penelitian Transportasi Laut Vol. 27 No. 1 (2025): Jurnal Penelitian Transportasi Laut
Publisher : Sekretariat Badan Kebijakan Transportasi, Formerly by Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v27i1.2417

Abstract

This study aims to assess and compare the level of readiness in implementing the International Ship and Port Facility Security (ISPS) Code across ASEAN ports. As maritime security remains a critical priority in global logistics and trade, understanding national compliance disparities is essential for enhancing regional port resilience. Grounded in compliance theory and regional security cooperation, this research frames ISPS implementation as both a technical and institutional readiness challenge influenced by policy enforcement, infrastructure, and human resource capacity. A comparative, multi-country approach was used involving ten ASEAN countries. Five key indicators were analyzed: number of ISPS-compliant facilities, security monitoring systems, regulatory framework, personnel readiness (SDM/RSO), and operational challenges. Quantitative methods included descriptive statistics, correlation, principal component analysis (PCA), and K-means clustering to identify readiness patterns and gaps. The analysis revealed significant heterogeneity in ISPS Code implementation. Singapore demonstrated the highest readiness level, followed by Malaysia and Indonesia, while countries such as Laos and Myanmar exhibited low compliance scores. PCA results identified one dominant readiness component explaining 78% of variance. Clustering analysis grouped ASEAN countries into three readiness tiers, providing a basis for targeted regional support and harmonization strategies. Findings underscore the urgency of coordinated capacity-building, policy alignment, and funding assistance in lower-readiness states. The proposed readiness index can guide future regional security benchmarking. This study contributes a novel regional ISPS readiness index and presents the first multivariate readiness mapping of ASEAN ports, supporting data-driven policy formulation for maritime security enhancement.
Regulatory and Operational Impacts on Indonesia’s Shipbuilding Costs Handoko, Wisnu; Setiawan, Ariyono; Suwondo, Iie; Widjanarko Otok , Bambang; Wou Onn, Choo
Jurnal Penelitian Transportasi Laut Vol. 27 No. 1 (2025): Jurnal Penelitian Transportasi Laut
Publisher : Sekretariat Badan Kebijakan Transportasi, Formerly by Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v27i1.2422

Abstract

Regulatory and Operational Impacts on Indonesia’s Shipbuilding Costs: This study aims to quantify the impact of regulatory and operational delays on shipbuilding costs in Indonesia, a maritime nation undergoing rapid infrastructure modernization. Grounded in the theoretical frameworks of institutional economics and project risk management, the research investigates how permit duration and project delays affect the financial performance of nationally significant vessel construction projects. Employing a quantitative approach, data from 14 real-world shipbuilding projects including patrol boats, offshore patrol vessels (OPVs), tankers, and submarines were analyzed. Key variables comprised total project cost (in billion IDR), permit time (months), and project delay duration (weeks). Descriptive statistics, Pearson correlations, and multiple linear regression were performed, followed by robust regression and outlier diagnostics (Cook’s Distance and VIF analysis) to ensure model reliability. The results reveal that project delays significantly increase total costs (p < 0.001), whereas permit duration exhibits a negative but context-dependent relationship. The model explains 68% of cost variation (R² = 0.68), with multicollinearity between permit time and delays (r = 0.94) indicating the need for cautious interpretation. Robust regression and diagnostic tests confirm the influence of high-cost defense projects as outliers. These findings provide actionable insights for maritime infrastructure policy, highlighting the need to streamline permit procedures, enhance inter-agency coordination, and mitigate project execution delays. This research contributes novel empirical evidence from real project data and applies advanced diagnostic techniques, addressing a critical gap in Southeast Asian maritime economics literature.
Uneven Transitions in Container Ship Capacity Across Indo-Pacific Economies (2010–2022): Integrating PCA, ANOVA, and Clustering Evidence Setiawan, Ariyono; Otok, Bambang Widjanarko; Handoko, Wisnu; Hadi, Abdul Razak Abdul; Onn, Choo Wou; Arli, Denni
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

We examine uneven transitions in container ship capacity (TEU per ship) across five Indo-Pacific economies  China, Singapore, Australia, Vietnam, and Indonesia  during 20102022 using an integrated statistical framework that combines ANOVA, Welch ANOVA, GamesHowell post-hoc tests, Principal Component Analysis (PCA), and clustering. Results reveal persistent divergence: China and Singapore maintain high-capacity fleets (>10,000 TEU/ship), Australia stabilizes in the mid-tier range (~7,000 TEU/ship), while Indonesia and Vietnam experience rapid but low-level growth (<6,000 TEU/ship). ANOVA confirms significant cross-country differences (F=28.33; p<0.001; 0.65), with Welch ANOVA yielding consistent results under unequal variances (p<0.01). PCA indicates one dominant component (PC199.5%) explaining most variance, forming three readiness clusters: high, medium, and low capacity economies. These patterns suggest that policy inertia, infrastructure bottlenecks, and green transition constraints drive the uneven capacity development. The study contributes by introducing TEU per ship as a cross-national indicator for maritime readiness, linking statistical divergence to SDG targets 8, 9, 10, 13, and 14, and offering empirical guidance for low-carbon fleet transition and port modernization in emerging economies..
Co-Authors ABDUL HADI, ABDUL RAZAK BIN Abdul Razak Abdul Hadi, Abdul Razak Abdul Razak Bin Abdul Hadi Aji Prasetya Wibawa Antoni Arif Priadi Ardian, Dede Arli, Denni Bambang Widjanarko Otok Bin Abdul Hadi, Abdul Razak Dana, I Putu Ngurah Krisna Daniel Dewantoro Rumani Dewi Hidayati Dewi, Deshinta Arrova Dwi Kusuma, Irma Efendi Efendi Eppy Yundra, Eppy Erwin Faller Fajar Islam Faller, Erwin Fatmawati Sabur Febiyanti, Herlina Globalisasi, Safitri Era Gusti Agung Ayu Putri Hadi, Abdul Razak Abdul Hammad, Jehad A. H Hammad, Jehad A.H Handoko, Wisnu Harianto, Bambang Bagus I Gede Susrama Mas Diyasa Ika, Ni Made Ikhwanul Qiram Larasati, Khoirunnisa Luthfiyah Nurlaela M. Anjar Pamungkas Masdiyas, I Gede Susrama Meini Sondang Mubarok, Ahmad Nahusuly, Barep J. A. I. Ni Made Ika Marini Mandenni Onn, Choo Wou Pambudiyatno, Nyaris Patrisia Mintje, Quirina Ariantji Prasetyo, Kukuh Tri Putra, Iwansyah Putri, Fitri Aulia Yuliandi Raditya, Askara Rusdyansyah, Arief Sazali, Abdul Muti SRI RAHAYU Sri Wibawani, Sri Sutoyo Sutoyo Sutralinda, Dety Suwondo, Iie Terza Damaliana, Aviolla Tirtanto, Jadon Pieter Elia Tri Prasetyo, Kukuh Utomo, Tri Rizki Wahyuni, A. A. Istri Sri Wibowo, Untung Lestari Widjanarko Otok , Bambang Widyaningsih , Upik Widyaningsih, Upik Wiratama, I Putu Bayu Adhya Wou Onn, Choo Yudianto, Prima Yudha Yuniar, Dwi Candra Yuyun Suprapto