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All Journal NEUTRON : Research from all areas of the Civil Engineering Narotama Jurnal Teknik Sipil
koespiadi koespiadi
Narotama University
Civil Engineering, Building, Construction & Architecture Engineering Materials Science & Nanotechnology Transportation

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ANALISIS POLA RENCANA ANGGARAN BIAYA (RAB) PADA PROYEK PEMBANGUNAN PERGUDANGAN BERDASARKAN HSPK KOTA MOJOKERTO ANDRE RIANTAMA; koespiadi koespiadi
NAROTAMA JURNAL TEKNIK SIPIL Vol 2 No 2 (2018): Narotama Jurnal Teknik Sipil (NOPEMBER, 2018)
Publisher : Program Studi Teknik Sipil Universitas Narotama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31090/njts.v2i2.704

Abstract

The develop industrial sector, the government and private companies don’t stop to build fulfillment facilities and infrastructure for the people’s lives, among these facilities is the warehouse building, which is the one of the needed society as a job, The role of experienced construction experts is needed to support the development process, especially against the Bill of Quantity. Bill of Quantity put the standard cost of basic unit activity (HSPK) in Mojokerto city for five (5) years back from 2013 to 2017, the intention is for comparison to predict changes in the coming year. The purpose of this paper to produce a pattern of alteration stell building prices based on HSPK Mojokerto city, and get what the factors are the most dominant cause changes in the price of the building. This research method using linear regression analysis were prepared from the Bill of Quantity on warehouse building, according to HSPK of Mojokerto city from 2013 to 2017. From processing the data that has been collected, it has obtained a regression equation trend of building cost /m2 is Y=1.499.963,89+120.780,56*X. The most dominant factor causing price changes buliding is the Portland Cement (PC), Red brick and Wood 5/7, 4/6 for formwork.
INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SUSTAINABLE MARITIME TRANSPORTATION IN OPTIMIZING INDONESIA’S BLUE ECONOMY: A DPSIR FRAMEWORK ANALYSIS BASED ON BPS SDLP 2023 OFFICIAL DATA Ni'matul Fahdiyah; Koespiadi Koespiadi; Zailani Abdullah
Neutron Vol 24 No 01 (2024): JULY 2024
Publisher : NAROTAMA UNIVERSITY, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/neutron.v24i01.296

Abstract

This paper examines how artificial intelligence (AI) could be integrated with sustainable maritime transportation and fisheries governance to support Indonesia’s blue economy. It develops a conceptual extension of the Drivers–Pressures–State–Impact–Response (DPSIR) framework using secondary statistics in Indonesia’s official Statistics of Marine and Coastal Resources 2023 (BPS SDLP 2023) and traceable maritime, environmental and policy literature. Reported fishery gross domestic product at current prices grew from IDR 385.9 trillion in 2018 to IDR 505.1 trillion in 2022, while 2022 fishery exports reached 1,224,060 tonnes and US$6.242 billion [1]. The 2022 marine capture fleet comprised 893,258 craft, of which 100,109 were non-powered and 429,113 were outboard-motor boats [1]. An AI-enabled architecture is proposed for vessel monitoring, satellite-image analysis, route decision support and conservation surveillance. These functions are mapped to DPSIR response mechanisms, but have not been experimentally implemented or validated in this study. The findings therefore concern documented sector conditions and a research-informed integration framework, not demonstrated AI-derived fuel savings or environmental impacts.
BLOCKCHAIN-ENABLED SMART LOGISTIC SHIPS: ENHANCING SUPPLY CHAIN TRACEABILITY, ADMINISTRATIVE EFFICIENCY, AND CARBON COMPLIANCE IN INDONESIAN ARCHIPELAGIC MARITIME NETWORKS Ifan Widayatullah; Koespiadi Koespiadi; Derrick I-Hsien Ting
Neutron Vol 24 No 02 (2025): JANUARY 2025
Publisher : NAROTAMA UNIVERSITY, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/neutron.v24i02.301

Abstract

Indonesian inter-island freight logistics requires coordinated document exchange, cargo visibility, and credible operational carbon records. This study develops an evidence-audited conceptual architecture for blockchain-enabled smart logistic ships, integrating electronic bills of lading (eBL), onboard Internet-of-Things (IoT) telemetry, permissioned Hyperledger Fabric networks, and a carbon-data audit trail. Official Statistics Indonesia publications provide sectoral context; verified maritime blockchain studies, IMO rules, and the UNCITRAL Model Law on Electronic Transferable Records underpin the proposed architecture. The methodology specifies participant roles, off-chain sensor-data storage, on-chain event hashes, state transitions, authorization controls, and a reproducible cost-benefit framework. No prototype logs, port transaction records, or measured process times were supplied; therefore, the original document-latency, dwell-time, cost-saving, and return-on-investment percentages cannot be reported as verified empirical results. A transparent conditional illustration using author-provided cost assumptions is presented instead. The resulting contribution is a technically consistent, auditable design and validation protocol for future trials on Indonesian feeder routes, rather than a claim of demonstrated deployment performance.
IoT-ENABLED SMART MARITIME TRANSPORTATION ARCHITECTURE FOR INDONESIA'S BLUE ECONOMY: A CAUSAL DPSIR FRAMEWORK ANALYSIS UTILIZING BPS SDLP 2023 AND OFFICIAL MARITIME DATA Rudi Dwi Arifiyanto; Koespiadi Koespiadi; Fazilat Kodirova
Neutron Vol 25 No 01 (2025): JULY 2025
Publisher : NAROTAMA UNIVERSITY, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/neutron.v25i01.309

Abstract

Indonesia's archipelagic transport and fisheries networks need interoperable monitoring and decision-support tools. This study develops a conceptual Internet of Things (IoT) architecture linked to the Drivers–Pressures–State–Impact–Response (DPSIR) framework and reviews official indicators from BPS Statistics of Marine and Coastal Resources 2023 and Indonesia's Ministry of Marine Affairs and Fisheries (KKP). BPS reports that fisheries gross domestic product at current prices rose from IDR 385.9 trillion in 2018 to IDR 505.1 trillion in 2022; fisheries exports reached approximately USD 6.24 billion in 2022. The proposed four-layer architecture joins onboard sensors and AIS/VMS, edge processing, secure network transmission, and cloud-based fleet and environmental dashboards. A DPSIR matrix connects economic drivers, environmental pressures, observed conditions, associated impacts, and policy or technology responses. Official KKP reporting puts the national marine conservation area at about 28.91 million hectares at end-2022, a broader figure than the 21.84 million hectares reproduced in the submitted manuscript. The framework is a design proposal supported by secondary statistical description: no IoT prototype, vessel-fuel trial, predictive-maintenance experiment, or quantified emissions benefit was independently validated in this study.
Co-Authors Andre Riantama Derrick I-Hsien Ting Fazilat Kodirova Ifan Widayatullah Ni'matul Fahdiyah Rudi Dwi Arifiyanto Zailani Abdullah