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Majalah Ilmiah Pengkajian Industri
ISSN : 14103680     EISSN : 25411233     DOI : -
Core Subject : Engineering,
MIPI, Majalah ilmiah Pengkajian Industri adalah wadah informasi bidang pengkajian Industri berupa hasil penelitian, studi kepustakaan maupun tulisan ilmiah terkait dalam bidang industri teknologi proses rekayasa manufaktur, industri teknologi transportasi dan kelautan, serta industri teknologi hankam dan material. Terbit pertama kali pada tahun 1996 frekuensi terbit tiga kali setahun pada bulan April, Agustus, dan Desember. MIPI diterbitkan oleh Deputi Bidang Teknologi Industri Rancang Bangun dan Rekayasa-BPPT
Arjuna Subject : -
Articles 601 Documents
THE POTENTIAL UTILIZATION OF COFFEE WASTE OF PT JAVABICA INTO BIO-BRIQUETTE AS ENVIRONMENTALLY-FRIENDLY FUEL Tandiono , Joshua Luke; A., Sri Endah
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 3 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/mipi.v14i3.4225

Abstract

The coffee industry produces a large amount of waste in the form of coffee grounds, which is about 45% of the processed coffee beans. This research aims to study the potential of waste produced by the coffee industry as an environmentally friendly alternative fuel (green energy) in the form of biomass briquettes. The results show that coffee waste briquettes have a fairly good performance as fuel, are easily burnt, and have an energy content that is almost the same as dry wood. By using the “hot pressing” method in the mechanical pressing machine, bio briquettes with a fairly good density and strength level can be obtained. The briquettes have a heating value of 5169 – 5500 kcal/kg at water content of 12-12.5%, and a density of 0.35 – 0.86 g/cm3. Keywords: Bio-briquettes; Biofuel; Used Coffee Grounds; Hot Pressing; Environmentally Friendly; Renewable Energy
BC and Preface Endro Wahju Tjahjono
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 2 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

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Abstract

THE EVALUATION OF THE CAUSES OF RETAINING WALL STRUCTURE FAILURE AT A RIVER BASED ON SNI 2847:2013 Handayani , Tri; Sudarmadi , Sudarmadi
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 3 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/mipi.v14i3.4383

Abstract

In this paper, the application of SNI 2847:2013 in the evaluation of the case of a retaining wall failure is presented. The method is the analytical retaining wall evaluation, which consisted of visual inspection in the field, depth measurement of pile and sheet pile, and the quality test of concrete material. The data were used as input in structure modeling using Finite Element Method (FEM) software to calculate each structural member's required strength (Ru). The calculation was done to obtain the design strength (ØRn) of the structural member. The retaining wall is considered safe if its design strength is greater than or equal to the required strength or ØRn ? Ru. If this condition cannot be fulfilled, the retaining wall is considered failed, and then the causes of failure would be performed. The result showed that the depth of the pile and sheet pile is less than the required minimum depth, and concrete quality is below the specification mentioned in the as-built drawing data. According to structural analysis and calculation of site investigation data, it could be known that the causes of retaining wall failure are the design strength is smaller than the required strength and the vertical moment due to its self-weight is much smaller than the horizontal moment due to soil and water pressure, so it causes the structural sliding. Keywords: Retaining Wall Failure; Retaining Wall Evaluation; Required Strength; Design Strength; Sliding
DEPOSITION Ti-Sn ON AISI 316L SUBSTRATE WITH SURFACE MECHANICAL ALLOYING TREATMENT (SMAT) FOR BIOMATERIAL APPLICATION IN SIMULATED BODY FLUID Pangestu , Febriyanto Wijaya; D. , Talitha Ratna; Prajitno , Djoko Hadi
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 3 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/mipi.v14i3.4421

Abstract

The properties of biomaterials such as biocompatibility, which is non-allergic and non-toxic to be the main requirements that must be owned by the biomaterials because of the presence of direct contact between the biomaterial with body parts. Therefore the study of biomaterials is constantly carried to repair the biocompatibility. In this research, the improvement of the properties the compatibility of the metal alloy AISI 316L with superimposed ideal bio-inert Ti-Sn with the method of Surface Mechanical Alloying Treatment. Manufacture of the alloy with bio-inert Ti-Sn using a variation of the composition of Sn of 10% and Sn 20% done using Mechanosynthesis process. The results of the process are sintered with the variation of temperature of 800oC and 900oC for 2 hours and then were characterized by an optical microscope. Corrosion testing of the alloy was carried out with Polarization Tafel System Three Electrode method for 10 minutes. The results of characterization with an optical microscope shows there is a layer of bio-inert Ti-Sn the results of the process of SMAT of AISI 316L. The results of corrosion testing on alloy AISI 316L Ti-Sn in a solution of SBF showed that the content of Ti-10%Sn with a temperature of 800oC the obtained corrosion rate 4.785 MPY and at 900oC amounted to 4.155 MPY as well as on the content of Ti-20%Sn with a temperature of 800oC the obtained corrosion rate 3.525 MPY and at 900oC amounted to 3.234 MPY. Keywords: Biocompatible; Biomaterial; AISI 316L; Ti-Sn; Corrosion Rate; Allergic Reaction; Deposition.
MACHINE LEARNING APPLICATION IN RESPONSE TO DISASTER RISK REDUCTION OF FOREST AND PEATLAND FIRE: Impact-Based Learning of DRR for Forest, Land Fire and Peat Smouldering Riza, Hammam; Santoso, Eko Widi; Kristijono, Agus; Melati, Dian Nuraini; Prawiradisastra, Firman
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 3 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/mipi.v14i3.4426

Abstract

Peat forest is a natural swamp ecosystem containing buried biomass from biomass deposits originating from past tropical swamp vegetation that has not been decomposed. Once it burns, smoldering peat fires consume huge biomass. Peat smoldering fires are challenging to extinguish. These will continuously occur for weeks to months. Experts and practitioners of peat smoldering fires are the most recommended effort to prevent them before they occur with the strategy: 'detect early, locate the fire, deliver the most appropriate technology.' Monitoring methods and early detection of forest and land fires or 'wildfire' have been highly developed and applied in Indonesia, for example, monitoring with hotspot data, FWI (Fire Weather Index), and FDRS (Fire Danger Rating System). These 'physical simulator' based methods have some weaknesses, and soon such methods will be replaced by the Machine Learning method as it is developing recently. What about the potential application of Machine Learning in the forest and land fires, particularly smoldering peat fires in Indonesia? This paper tries to answer this question. This paper recommends a conceptual design: impact-based Learning for Disaster Risk Reduction (DRR) of Forest, Land Fire, and Peat Smouldering. Keywords: Artificial Intelligence; Machine Learning; Wildfire; Peat Smouldering; DRR impact-based
OPTIMATION OF FIRE EXTINGUISHMENT SYSTEMS IN X STATION CENTER OF CRUDE OIL AND GAS STORAGE Aziz, Amiral; Andre Nugroho
Majalah Ilmiah Pengkajian Industri Vol. 15 No. 1 (2021): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

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Abstract

This paper discusses some research results that were carried out to optimize the fire extinguishment system of X Station in South Sumatera. To optimize the fire extinguishing system at station X, a system modification has been done, which included: changes in the number of stockpile tank units, changes in capacity and dimensions of oil tanks, and changes in fire wall construction. With the change in capacity and dimensions, especially the storage tank unit, it is necessary to recalculate whether the water demand in the fire protection system is still sufficient according to the existing system condition. From this research, it can be concluded that the maximum flow rate of foam under the existing condition is 1631.6 gpm while the optimum ondition is 65% smaller than the existing system condition at 570.54 gpm. The cooling water flow rate of 615.09 gpm at optimum ondition is lower than the existing system conditions of 1409.33 gpm. The required water to the fire extinguishment system is 250 gpm; this value is smaller than the existing system capacity of 2074 gpm. By using performance curves of Grundfos Data Booklet, for the capacity of pump 1250 gpm, the total head pump and pump efficiency are obtained 103.48 m and 77.5 %, respectively. Keywords: optimation; tank; water; foam; pump
ANALYSIS OF SPOT-WELDING PITCH ON TOP HAT STRUCTURE AGAINST CRASHWORTHINESS CRITERIA Purnama, Harry; Istiyanto, Jos
Majalah Ilmiah Pengkajian Industri Vol. 15 No. 1 (2021): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

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Abstract

The application of spot-welding in the automotive industry, especially the electric-based vehicle frame structure, has been optimized to meet passenger and battery compartment safety factors. The present numerical study of the electric-based vehicle frame structure with the top hat cross-sectional model validated the experimental results of reference, which then modified the spot-welding pitch to determine the crashworthiness effect and criteria. The numerical simulation results show that reducing spot-welding pitch in vertical direction can increase energy absorption (EA) by 1.70% - 9.91%, while bringing spot-welding pitch closer to the flange's outer edge can reduce its maximum force (Fmax) by 8.11% - 21.67%. Keywords: Spot-welding; Top Hat Structure; Crashworthiness; Numerical Simulation; Electric Vehicle.
A VEHICLE ROUTING PROBLEM OPTIMIZATION WITH DRONE USING TABU SEARCH ALGORITHM AND ANALYTICAL HIERARCHY PROCESS Linda Nuryanti
Majalah Ilmiah Pengkajian Industri Vol. 15 No. 1 (2021): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

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Abstract

This research presents optimization of the fastest route using Drone. Vehicle Routing Problem with Drones (VRPD) is used for planning the mapping of areas with minimal makespan. Drone point route design aims to mapping the area with considering the boundaries. In this paper, an optimization method using the Tabu Search algorithm and Analytical Hierarchy Process (AHP) to resolve VRPD problems is proposed. Tabu Search algorithm is suitable for the implementation of Vehicle Routing Problem because it is able to find the closest distance optimally with guiding other processes using a series of movements to change one solution to another. The optimization process using Tabu Search can find a suitable pair of points so that the closest route can be found. AHP is used for the weighting process and determining the hierarchy of route selection by prioritizing routes that meet the criteria and the appropriate weights. The optimization resulted in a 7.08% reduction in the distance and significantly reduce the makespan as well as the metaheuristic approach. Experimental processes and performance analysis are carried out to find that this method can consistently produce better and optimal solutions. Keywords : Vehicle Routing Problem with Drone; Analytical Hierarchy Process;Tabu Search; Mapping
A COMPARISON PRE-TRAINED MODELS FOR AUTOMATIC INDONESIAN LICENSE PLATE RECOGNITION Bismantoko, Sahid; Rosyidi, M.; Chasanah, Umi; Haryono, Asep; Widodo, Tri
Majalah Ilmiah Pengkajian Industri Vol. 15 No. 1 (2021): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

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Abstract

Automatic License Plate Recognition is related to the Intelligent Transportation System (ITS) that supports the road's e-law enforcement system. In the case of the Indonesian license plate, with various colour rules for font and background, and sometimes vehicle owners modify their license plate font format, this is a challenge in the image processing approach. This research utilizes pre-trained of AlexNet, VGGNet, and ResNet to determine the optimum model of Indonesian character license plate recognition. Three pre-trained approaches in CNN-based detection for reducing time for a build if model from scratch. The experiment shows that using the pre-trained ResNet model gives a better result than another two approaches. The optimum results were obtained at epoch 50 with an accuracy of 99.9% and computation time of 26 minutes. This experiment results fulfil the goal of this research. Keywords : ALPR; ITS; CNN; AlexNet; VGGNet; ResNet
FATIGUE LIFE ANALYSIS OF RAMP DOOR FERRY RO-RO GT 1500 USING FINITE ELEMENT METHOD Alam, Alamsyah; A. B. Mapangandro; Amalia Ika W; M U Pawara
Majalah Ilmiah Pengkajian Industri Vol. 15 No. 1 (2021): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

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Abstract

Ro - Ro Ferry is equipped with a connecting door between the port and the ship. The ramp door experiences load during loading and discharging of the rolling cargo. This repetitive load may cause fatigue failure. The structure of the ramp door should withstand this load. Therefore, The ramp door should be properly designed to ensure the structural integrity of the ramp door. The purpose of this research is to analyze the maximum stress and the Fatigue life of the bow ramp door. The method used is the finite element method. The given loads are several types of vehicles that are commonly transported by the ship. The given load case is the point load working at the girder plate and between the girder plate. Based on the simulation results with the given point load, the maximum stress is identified located between the girder for the large truck case with 397.02 MPa, while the minimum stress located at the girder for sedan car with 43.93 MPa. As for the fatigue life of the bow ramp door construction. it is 1.17 ~ 398.64 years, and the load cycle is 5.35 x 104 ~ 9.05 x 106 cycle. Keywords : Bow Ramp Door; Stress; Fatigue Life; Finite Element; Ferry

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