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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Scan : Jurnal Teknologi Informasi dan Komunikasi Warta Ardhia : Jurnal Perhubungan Udara Knowledge Engineering and Data Science JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) MIND (Multimedia Artificial Intelligent Networking Database) Journal 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 Information Technology International Journal (ITIJ) Jurnal Riset & Teknologi Terapan Kemaritiman Warta Penelitian Perhubungan
Setiawan, Ariyono
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Humanities 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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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 | DOI: 10.59395/ijadis.v7i1.1442

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..
PREDICTION OF SEA LEVEL MEASUREMENT IN PANGPANG BAY FOR SEAPLANE LANDING SEAPLANE LANDING USING ID CONVOLUTIONAL NEURAL NETWORK Setiawan, Ariyono; Islam, Fajar; Efendi, Efendi; Globalisasi, Safitri Era; Hammad, Jehad A.H
Jurnal Praksis dan Dedikasi Sosial Vol. 7 No. 2 (2024)
Publisher : Universitas Negeri Malang

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Abstract

This research investigates the relationship between sea level height and various environmental factors in Pangpang Bay, Indonesia, using Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) modeling techniques. Daily data on sea level height, weather, and oceanography were collected from April 1 to April 15, 2024. An analysis was conducted on the factors affecting sea level height and the evaluation of predictive model performance. The findings reveal historical patterns of sea level height changes influenced by the variability of meteorological and oceanographic conditions. Although ANN and CNN models have varying degrees of accuracy, both show potential in predicting sea level height by considering environmental factors. Recommendations include the development of more advanced predictive models, deeper data observation, integration of multidisciplinary information, continuous environmental monitoring, and stakeholder collaboration. This research is expected to contribute to the understanding and management of environmental risks related to sea level height in Pangpang Bay.
IMPLEMENTASI MACHINE LEARNING UNTUK MENINGKATKAN KUALITAS OPERASIONAL SERVICE KENDARAAN DENGAN METODE RANDOM FOREST DAN LOGISTIC REGRESSION Mandenni, Ni Made Ika Marini; Wiratama, I Putu Bayu Adhya; Setiawan, Ariyono; Putri, Gusti Agung Ayu; Dana, I Putu Ngurah Krisna
Jurnal Praksis dan Dedikasi Sosial Vol. 7 No. 2 (2024)
Publisher : Universitas Negeri Malang

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Abstract

IMPLEMENTATION OF MACHINE LEARNING TO IMPROVE THE QUALITY OF VEHICLE SERVICE OPERATIONS WITH RANDOM FOREST AND LOGISTIC REGRESSION METHODSVehicle motor repairs (service) are an important aspect for motor vehicle owners to undertake. This activity is carried out by automotive workshops to ensure that the customer's vehicle is in prime condition. To boost sales, some automotive workshops offer various promotional packages to attract customer interest. However, in practice, this is done manually by workshop staff, resulting in suboptimal performance in offer presentations (customer calls). This research aims to build a recommendation system for package deals and offer dates to enhance the quality of customer calls in the operations of automotive workshops using Random Forest and Logistic Regression. The dataset used is operational data from customer calls at one automotive workshop in Bali. The Random Forest model achieves 91 percent accuracy, while Logistic Regression achieves 72 percent accuracy. The system developed can be used to recommend good package deals and offer dates to customers.Perbaikan kendaraan bermotor (service) merupakan hal penting untuk dilakukan bagi pemilik kendaraan bermotor. Kegiatan ini dilakukan oleh bengkel otomotif untuk memastikan kondisi kendaraan customer dalam kondisi prima. Untuk meningkatkan penjualan, beberapa bengkel otomotif menawarkan berbagai paket promo untuk menarik minat customer. Namun dalam pelaksanaannya, hal ini dilakukan secara manual oleh staff bengkel yang mengakibatkan performa penawaran (customer call) kurang optimal. Penelitian ini bertujuan untuk membangun sistem rekomendasi paket dan tanggal penawaran untuk meningkatkan kualitas customer call pada operasional bengkel otomotif menggunakan Random Forest dan Logistic Regression. Dataset yang digunakan adalah data operasional customer call salah satu bengkel otomotif di Bali. Model Random Forest mencapai akurasi 91 persen dan Logistic Regression mencapai akurasi 72 persen. Sistem yang dibangun dapat digunakan untuk merekomendasikan paket dan tanggal penawaran yang baik untuk ditawarkan kepada customer.
Pemetaan Risiko Interferensi dan OptimasiFrekuensi Komunikasi VHF pada 219 Bandara di Indonesia Menggunakan K-Means dan PCA Spasial Setiawan, Ariyono; Sonhaji, Imam; Onn, Choo Wou; Cahyadi, Catra Indra; Suprapto, Yuyun; Widadi, Novyanto
WARTA ARDHIA Vol. 51 No. 1 (2025)
Publisher : Sekretariat Badan Kebijakan Transportasi, Kementerian Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/wa.v51i1.567.1-12

Abstract

Penelitian ini menelaah bagaimana klasterisasi spektrum VHF dapat mengurangi potensi interferensi antarbandara di ruang udara Indonesia yang padat. Berlandaskan konsep interaksi spasial dan risiko spectrum sharing, kedekatan geografis antarbandara dan jarak frekuensi (Δf) dikaitkan dengan probabilitas terjadinya interferensi, serta memosisikan klasterisasi sebagai prasyarat koordinasi berbasis data. Data multi-layanan VHF dari 219 bandara dinormalisasikan dan dianalisis, Menggunakan Principal Component Analysis (PCA) untuk mempertahankan komponen yang menjelaskan ≥70% variasi, Selanjutnya, algoritma FASTCLUS digunakan untuk membentuk kelompok yang koheren secara spasial. Pasangan bandara yang berpotensi berisiko diidentifikasi dengan kriteria jarak <50 km dan Δf <0,2 MHz (uji kepekaan: 0,3 MHz). Hasil analisis menunjukkan terdapat 37 pasangan bandara memenuhi kedua kriteria tersebut; pola yang teridentifikasi menunjukkan adanya kantong kepadatan dengan penyempitan adjacent-channel spacing yang mengindikasikan kemungkinan inertia kebijakan dalam pengelolaan spektrum (spectrum housekeeping). Berdasarkan temuan tersebut, disusun daftar prioritas watchlist berperingkat untuk AirNav/Kominfo guna memandu penataan ulang kanal dan koordinasi lintas wilayah, mendukung SDG 9 dan SDG 16. Pendekatan yang digunakan mengintegrasikan PCA–FASTCLUS dengan skrining Δf–jarak menjadi pipeline praktis, replikabel, dan siap regulator.
Performance-Based Navigation and Airspace Safety in ASEAN: A Comparative Quantitative Analysis Patrisia Mintje, Quirina Ariantji; Setiawan, Ariyono; Bahrawi, Ahmad; Arrova Dewi, Deshinta
Warta Penelitian Perhubungan Vol. 37 No. 2 (2025): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v37i2.2415

Abstract

This study aims to evaluate the impact of Performance-Based Navigation (PBN) implementation on airspace safety across ASEAN countries. Amid growing aviation traffic and the International Civil Aviation Organization (ICAO) push for harmonized air navigation strategies, ASEAN's PBN readiness varies significantly, warranting a regional assessment. Guided by the International Civil Aviation Organization (ICAO) Global Aviation Safety Plan (GASP) and Doc 9613 PBN Manual, this research investigates how integrating advanced navigation procedures and aligning policies contribute to improved safety outcomes. A comparative quantitative analysis was conducted using secondary data from 11 ASEAN countries between 2009 and 2023. Key variables include the PBN Coverage Index, Fleet RNAV Capability, Policy Alignment, and Safety Risk Index. Statistical methods included descriptive statistics, Pearson correlation, OLS regression, ANOVA, and hierarchical clustering. Regression results reveal that policy alignment with ICAO standards significantly reduces safety risk (p < 0.05), while higher PBN coverage shows a strong negative correlation with risk levels (r = –0.80). ANOVA indicates statistically significant differences in safety performance across readiness levels. Clustering analysis distinguishes three country groups, with Indonesia, Singapore, and Thailand leading in PBN readiness. The findings highlight the need for harmonized regional aviation strategies, particularly in countries with limited infrastructure, such as Timor-Leste. Strengthening regulatory compliance and technological adoption is essential for safety enhancement. This study offers integrated multi-method analysis of PBN implementation and safety outcomes in ASEAN, contributing empirical insights for aviation policymakers and ICAO stakeholders.
Co-Authors ABDUL HADI, ABDUL RAZAK BIN Abdul Razak Abdul Hadi, Abdul Razak Abdul Razak Bin Abdul Hadi Ahmad Bahrawi, Ahmad Aji Prasetya Wibawa Antoni Arif Priadi Ardian, Dede Arli, Denni Arrova Dewi, Deshinta Bambang Widjanarko Otok Bin Abdul Hadi, Abdul Razak Catra Indra Cahyadi 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 Islam, Fajar 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 Sonhaji, Imam 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 Widadi, Novyanto Widjanarko Otok , Bambang Widyaningsih , Upik Widyaningsih, Upik Wiratama, I Putu Bayu Adhya Wou Onn, Choo Yudianto, Prima Yudha Yuniar, Dwi Candra Yuyun Suprapto