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Mitra Bestari
Ketentuan Umum Penulisan MasalahPenulisan Makalah pada JMAIF – Jurnal Manajemen Aset Infrastruktur & Fasilitas diatur dalam ketentuan umum sebagai berikut.- Makalah betul – betul merupakan hasil karya penulis- Makalah belum pernah dipublikasikan di media lain- Makalah harus berisi bahasan mengenai Manajemen Aset Infrastruktur dan Fasilitas- Makalah harus berisi suatu bahasan baru, dilihat dari bahasan yang sudah terpublikasikan pada JMAIF dan JIFAM- Makalah harus mengambil acuan minimal sebanyak 8 acuan, 6 diantaranya berupa referensi primer- Panjang makalah dibatasi 8 -16 halaman- Makalah bisa ditulis dalam bahasa Indonesia atau Bahasa Inggris- Naskah ditulis dengan menggunakan Microsoft Word- Format penulisan makalah bisa di unduh di website https://iptek.its.ac.id/index.php/jmaif Cakupan Topik TulisanJMAIF menerima makalah tentang Manajemen Aset Infrastruktur dan Fasilitas . Cakupan topik tulisan meliputi antara lain topik – topik sebagai berikut.- Fungsi Infrastruktur & Fasilitas- Permintaan - Penawaran Infrastruktur & Fasilitas- Perilaku Permintaan Infrastruktur & Fasilitas- Perilaku Pengguna Infrastruktur & Fasilitas- Evaluasi Infrastruktur & Fasilitas- Gagasan Infrastruktur & Fasilitas- Kebijakan Infrastruktur & Fasilitas- Perencanaan Infrastruktur & Fasilitas- Perancangan Infrastruktur & Fasilitas- Sistem Pengadministrasian Infrastruktur & Fasilitas- Sistem Operasi Infrastruktur & Fasilitas- Sistem Pemeliharaan Insfrastruktur & Fasilitas- Penghapusan Infrastruktur & Fasilitas- Aspek Ekonomi dan Finansial Infrastruktur & Fasilitas- Aspek Pembiayaan Infrastruktur & Fasilitas- Aspek Spasial & Lingkungan Infrastruktur & Fasilitas- Aspek Rencana Strategis Infrastruktur & Fasilitas- Aspek Organisasi Pengelola Infrastruktur & Fasilitas Mitra Bestari Prof. Dr. Ir. Ria Asih A. S. M.Eng, Institut Teknologi Sepuluh Nopember (ITS), SurabayaTrihanyndio R. S. ST., MT., Ph.D, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaDr. Ir.Hitapriya Suprayitno M.Eng, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaIr. Achmad Wicaksono, M.Eng., Ph.D, Universitas Brawijaya Malang (UB), Malang, IndonesiaDr. Farida Rachmawati, ST, MT., Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaIr. Ervina Ahyudanari, ME, PhD., Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaProf. Dr. Vita Ratnasari, S.Si, M.Si., Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaProf. Dr.Eng. Ir. Muhammad Isran Ramli, ST., MT., Departemen Teknik Sipil, Universitas Hassanudin, Makassar, Indonesia
2D Magnetotelluric (MT) Modelling for Geothermal System Interpretation
Geothermal systems are areas beneath the earth's surface that store circulating heat energy. The heat energy stored in the geothermal system can be utilized by humans as an environmentally friendly alternative energy. Determining the geothermal system area requires geophysical exploration methods that have deep enough penetration and can distinguish soil structures based on the value of specific resistance. One method that is effective in determining geothermal systems is the magnetotelluric (MT) method. This method receives electric and magnetic field signals from the induction of subsurface rocks to the electromagnetic wave activity of solar storms and lightning. The signal is then processed to produce a specific gravity value. This type of resistance data can then present the structure of the geothermal system, including impermeable rocks, reservoirs and magmatic intrusion zones. This study also collaborated with supporting geological and geochemical data. The results of the magnetotelluric method analysis for the geothermal system of this study area are suspected to have host rocks with a specific gravity of less than 10 Ωm spread near the surface. Reservoirs that have a specific gravity of 10-40 Ωm are located at a depth of about 1000 m below the surface based on the interpretation of all data
Design of Internet of Thing (IoT)-based Control and Monitoring System of Eco-Aquaculture
Aquaculture plays a vital role in global food supply, contributing nearly 43% of the food consumed by humans. The rapid growth in aquaculture production demands a significant amount of electricity, which accounts for approximately 40% of the total energy costs. The primary energy sources in aquaculture used fossil fuels, it can be reduced by utilizing alternative energy sources. This research aims to develop a prototype of a floating net cage using an Internet of Things (IoT)-based water quality monitoring system powered by solar energy. The water quality parameters monitored in this study include temperature, pH, salinity, and dissolved oxygen levels. The sensors used for monitoring these parameters have undergone testing. The results indicate that the sensors can perform accurate measurements with over 90% accuracy. The solar panels installed in the system are capable of generating sufficient power to meet the operational demands, allowing the system to operate for approximately two days without sunlight. By maintaining well-controlled aquatic environmental conditions through IoT-based monitoring and control systems supported by renewable photovoltaic solar energy, environmentally friendly aquaculture operations can be conducted efficiently and productively. Ultimately, this leads to the production of high-quality aquaculture products, cost-effective operations, and the utilisation of eco-friendly energy sources
Earthquake Point Clustering Using Self Organizing Maps (SOM) In Sulawesi and Maluku Regions
Earthquakes pose a major threat in Indonesia, particularly in complex tectonic regions like Sulawesi and Maluku. To support disaster mitigation, this research employs the Self Organizing Maps (SOM) method—an unsupervised technique that reduces data dimensionality into an intuitive two-dimensional form—to cluster earthquake data using four key variables: longitude, latitude, magnitude, and depth. The dataset includes 5,275 earthquake records from 2022, sourced from the Meteorology, Climatology, and Geophysics Agency (BMKG). SOM training produced 25 neurons, which were then grouped into three optimal clusters using hierarchical clustering, validated by internal metrics: the lowest Connectivity Index (296.1512), highest Silhouette Index (0.3304), and a Dunn Index of 0.0058. Cluster 1, with 13 neurons, covers eastern Sulawesi and Maluku, featuring medium magnitude and depth. Cluster 2, with 11 neurons, represents central to southern Sulawesi, characterized by low magnitude and shallow depth. Cluster 3, comprising a single neuron, includes western regions with high-magnitude, very deep earthquakes. Keywords⎯ Clustering, Earthquake, Internal Validation, Self Organizing Maps (SOM)
Tsunami Modeling In The Mentawai Island As A Study Material For Disaster Mitigation (Case Study: Mentawai Earthquake, October 25, 2010)
There was an earthquake in Mentawai on October 25, 2010 which resulted in 509 deaths, 17 people injured, and 11.425 people displaced. Based on this, tsunami modeling was conducted using L-2008 software. This study aims to determine the value of the earthquake source mechanism and conduct tsunami modeling. Tsunami modeling includes earthquake source modeling as a tsunami generator (source modeling), tsunami wave propagation modeling (ocean modeling), and tsunami height modeling (run-up modeling). In this study, bathymetry data and earthquake source mechanism data from the USGS agency were used. The calculation results showed that the Mentawai earthquake had a fault length of 218,78 km, fault width of 45,70 km, and slip of 3,84 m. While the results of tsunami modeling show that the vertical displacemeht value obtained is the maximum value of 1,55 m and the minimum value is -1,55 m. The ocean modeling results show that the tsunami waves reached Sipora Island, North Pagai, and South Pagai at 20 minutes and 50 seconds. While the simulation results of tsunami run up modeling show that the maximum run up is at Sabeugunggu bay with run up value of 6,34 meters. Tsunami run up modeling has an RMSE value of 0,73
Relativistic Quantum Brayton Engine Based on Two Non-Interacting Dirac Particles in a One-Dimensional Potential Well
A quantum heat engine converts heat into work based on the principles of quantum thermodynamics.This study investigates a quantum heat engine composed of two Dirac particles confined in a one-dimensional potential well. The potential well is limited to three discrete energy levels, and the two non-interacting Dirac particles are treated as identical. The system operates under a quantum Brayton cycle, consisting of isobaric and adiabatic processes. The total work output is calculated using the energy levels derived from the relativistic Dirac equation. The efficiency curve is obtained by plotting a theoretical expression as a function of the ratio , where is the Compton wavelength. The efficiency increases monotonically with , approaching an asymptotic maximum, and is further enhanced by larger values of the parameter , which drive the engine toward near-optimal performance
Numerical Evaluation of Post-Deck-Flooding IMO Criteria for a Low-Freeboard Harbor Tugboat
Abstract¾ Low-freeboard harbour tugboats often work in quartering seas where a single boarding wave can leave water sloshing on deck and erode their transverse stability. This paper evaluates how much of that erosion a 28 m tug can tolerate before it breaks the intact-stability limits of IMO MSC 267(85). Using only the vessel’s trim-and-stability booklet, the study superimposes thin sheets of retained water—0 to 0.35 m deep, with drainage coefficients κ = 0.50–0.90—on three loading states: fully laden, half-load and lightship. For every depth and κ pair the corrected righting-arm curve, metacentric height and righting-area reserves are recomputed; a limiting-KG curve and a κ–depth PASS/FAIL heat-map are then produced, and wave data from BMKG (2020–2024) are used to estimate the yearly probability of exceeding the IMO limits. Calculations show that in the full-departure condition the first IMO criterion fails when only 0.12 m of water is trapped at κ = 0.70, whereas the threshold rises to 0.24 m at half-load and 0.31 m in lightship. Lowering κ to 0.55—achievable by higher bulwarks or larger freeing ports—moves the failure boundary rightward by nearly 50 % and cuts the annual exceedance probability below 10⁻³
Pushover Analysis of Ageing Offshore Jacket Platform in Shallow Water Under Extreme Storm and Mitigation Strategy for Platform’s Life Extension
Many offshore jacket platforms worldwide have approached or exceeded their original design life but are still in use and productive. According to the international codes, standards, and industry best practices, structural assessments of ageing fixed offshore jacket platforms shall be conducted against relevant target values to assess whether it is fit for purpose or risk reduction measures should be considered for continuing its operation. This research examines the collapse behaviour of an ageing offshore jacket platform under extreme storm conditions. Nonlinear collapse analysis has been performed to assess fixed offshore jacket platforms' structural integrity and reliability in shallow water under extreme storm conditions. Two tripods and 4-legged jacket platforms at water depths between 30 to 80 meters, located in the Mahakam Delta, Kalimantan, Indonesia, have been selected in this research as wellhead platform models commonly installed in shallow water. Sensitivity studies examine the effects of pile-soil interaction, variations in pile depth, topside load adjustments, marine growth removal, and jacket strengthening on structural performance. From the structural integrity and reliability perspective, the findings highlight that strengthening the jacket by adding soldier piles is the most effective approach for extending the platform's lifespan, especially for a wave-dominated platform. Additionally, a cost feasibility analysis is advised for future evaluation to determine whether jacket strengthening is viable or if alternative risk reduction strategies should be further explored for the ageing offshore platform
Critical Chain Project Management and Buffer Planning: Study Case at Security Accommodation Vessel Construction
Shipbuilding projects frequently encounter delays and cost overruns as a result of unpredictability in the construction process. This paper aims to explore the potential of Critical Chain Project Management (CCPM) and buffer planning to enhance scheduling in complex shipbuilding project. The research approach involves a case study of a Security Accommodation Vessel (SAV) construction project, complemented by expert interviews which were conducted to assess the risks and uncertainties affecting activity durations. The buffer sizes were then calculated using the Root Square Error Method (RSEM). Qualitative data was gathered through interviews with the expert to identify and assess potential risks and uncertainties impacting activity durations. This qualitative insight informed the application of the RSEM to determine appropriate buffer sizes. The planned project duration was reduced from 790 days to 678 days, representing a 14,5% improvement. The study focuses on the planning phase of CCPM and demonstrates the potential of combining CCPM, buffer planning, and expert input to create more reliable schedules for complex shipbuilding projects like SAV construction
Occupational Health and Safety Risk Assessment of Surabaya Pump Houses using the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) Method
Anticipating the impact of heavy rain triggered by climate change, almost all cities in Indonesia have built pump houses to suck up rainwater and puddles on city streets. The performance of the pump to drain and prevent flooding is very important for the people in the city. Unfortunately, not enough attention has been given to ensuring the health and safety of workers in pump houses. The welfare of pump house workers tends to be neglected because the seasonal nature of rain always makes the health and safety of workers in pump houses not a priority. In fact, improving the health and safety of pump house workers will increase the readiness of pump houses to be operated on time when needed. This paper describes the application of the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method commonly used in manufacturing companies to identify, evaluate, and mitigate risks related to the health and safety of workers in pump houses. Samples were taken from 4 different pump houses in Surabaya City, which can then be applied to 61 other pump houses. The results of the study indicate that several actions must be taken immediately to ensure the health and safety of workers. The findings presented in this paper will be useful for other cities in Indonesia to improve the safety culture in the country.