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Contact Name
Dr. Basari
Contact Email
basari.st@ui.ac.id
Phone
+6221-29120943
Journal Mail Official
editor_mst@ui.ac.id
Editorial Address
Universitas Indonesia ILRC Building, 1st Floor, Depok 16424, Indonesia Kota depok, Jawa barat INDONESIA
Location
Kota depok,
Jawa barat
INDONESIA
Makara Journal of Technology
Published by Universitas Indonesia
ISSN : 23552786     EISSN : 23564539     DOI : https://doi.org/10.7454/mjt
MAKARA Journal of Technology is a peer-reviewed multidisciplinary journal committed to the advancement of scholarly knowledge and research findings of the several branches of Engineering and Technology. The Journal publishes new results, original articles, reviews, and research notes whose content and approach are of interest to a wide range of scholars. It also offers rapid dissemination. MAKARA Journal of Technology covers the recent research in several branches of engineering and technology include Electrical & Electronics Engineering, Computer Engineering, Mechanical Engineering, Chemical & Bioprocess Engineering, Material & Metallurgical Engineering, Industrial Engineering, Civil & Architecture Engineering, and Marine Engineering. Criteria used in determining acceptability of contributions include newsworthiness to a substantial part of the engineering & technology and the effect of rapid publication on the research of others. This journal, published three times each year, is where readers look for the advancement of discoveries in engineering and technology.
Articles 8 Documents
Search results for , issue "Vol. 14, No. 1" : 8 Documents clear
A Simple Technique for Surface Area Determination Through Supercritical CO2 Adsorption Sudibandriyo, Mahmud
Makara Journal of Technology Vol. 14, No. 1
Publisher : UI Scholars Hub

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Abstract

The measurement of specific surface area of porous materials has long been important in physical sciences and is currently growing in importance in applied and environmental science. Numerous systems have been developed for surface area measurement by gas adsorption. Commercial systems are available which can measure a wide range of absolute surface area with relative ease. However, their cost is often prohibitive. In this study, an inexpensive apparatus for surface area measurement has been set up to be used for measuring supercritical adsorption of CO2. The Ono-Kondo Lattice model was used to represent the adsorption isotherm and to determine the surface area. The results of surface area determination using CO2 adsorption combined with OK model have been compared to the numbers obtained from nitrogen BET method. For surface area determination of zeolites and activated carbons, the new method give reasonable agreement results (within 10% deviation) compared to the results obtained from nitrogen BET method. In addition, the new method also gives more reasonable results for surface area determination of coals. As known, the nitrogen BET method gives almost zero of coals’ surface area. This might due to the characteristic of the coals’ structure that might be change (the pores are closed) during the cooling process in nitrogen BET method. Moreover, the new method can also be used to determine the surface area of porous materials using CO2 adsorption data at various temperatures without sacrificing their accuracy.
Maintenance Activity Planning by Reability Centered Maintenance II Method Hidayat, Rachmad; Ansori, Nachnul; Imron, Ali
Makara Journal of Technology Vol. 14, No. 1
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Maintenance Activity Planning by Reability Centered Maintenance II Method. This research discusses maintenance activity planning using the RCM II method to evaluate failure function risk on compresor screw. The calculation of maintenance time is performed by considering maintenance and repair costs. The risk evaluation result with RPN shows that the critical component that needs to get the main priority in applying maintenance on compresor screw is function disorder on timeworn piston and on the broken outgoing air sponge’s filter that receives RPN 45. The optimum maintenance time calculation is applied on components that undergo scheduled restoration and scheduled discard task so that this action becomes technically feasible in decreasing the consequence of damage. The optimum maintenance time value that is acquired to prevent damage on compresor screw is lower than the value of its MTTF, which demonstrates that optimum maintenance time will be significant in avoiding component function damage before the damage happens.
Software Design of Mobile Antenna for Auto Satellite Tracking Using Modem Correction and Elevation Azimuth Method Sirat, Djamhari; Asvial, Muhamad; Diponegoro, Arman Djohan; Sidharta, Himawan
Makara Journal of Technology Vol. 14, No. 1
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Software Design of Mobile Antenna for Auto Satellite Tracking Using Modem Correction and Elevation Azimuth Method. Pointing accuracy is important in satellite communication. Because the satellite’s distance to the surface of the earth's satellite is so huge, 1 degree of pointing error will make the antenna unable to send data to satellites. To overcome this, the auto-tracking satellite controller is made. This system uses a microcontroller as the controller, with the GPS as the location indicator of the antenna, a digital compass as the beginning of antenna pointing direction, a rotary encoder as azimuth and elevation censor, and a modem to see Eb/No signal. The microcontroller uses serial communication to read the input. Thus, the programming should be focused on the Universal Asynchronous Receiver/Transmitter (UART) and serial communication software UART. This controller has 2 phases in the process of tracking satellites. The early stage is the elevation-azimuth method, in which with input from the GPS and digital compass, the position of satellites (both coordinates and height) is stored in the microcontroller. The controller will measure the elevation and azimuth angle, then it will move the antenna according to the antenna azimuth and elevation angle. The next stage is correction modem, in which the controller only uses the modem as the input, and antenna movement is set up to obtain the largest value of Eb/No signal. The results of the controller operation show that there is a change in the value of the original input level from -81.7 dB to -30.2 dB with end of Eb/No value reaching 5.7 dB.
Fishing Catch and Catch Rate Assesment of Mini Trawl, Trapnet and Setnet Fisheries Firdaus, Muhammad
Makara Journal of Technology Vol. 14, No. 1
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Fishing Catch and Catch Rate Assesment of Mini Trawl, Trapnet and Setnet Fisheries. This paper is aimed at assessing fishing catch and catch rate of the dragged gear on shrimp, trapnet, and setnet fisheries in Tarakan. The catch and effort data (number and species) and the fishing time of captured units were used in this qualitative analysis of fishing catch and catch rate to describe catch composition and catch rate from three catch fishery units in Tarakan. The result of the research shows that in the catching operation the dragged gear on shrimp has two main catch targets, which are the nomei fish and shrimp in the their two fishing seasons. The nomei fish is also the main catch target in the trapnet fishery, and the pelagic fish inhabiting the estuary and the coastal areas are the main catch target of the setnet fishery. The operation of the dragged gear on shrimp with nomei fish as the main catch target has a catch rate of 16.10 kg/hour and that in the trapnet fishery is 1.67 kg/hour. The catch rate of setnet fishery is 5.39 kg/day and the operation of the dragged gear on shrimp with shrimp as the main catch target has a catch rate of 2.05 kg/hour.
Ontology-Based Automatic Classification for News Articles in Indonesian Language Basnur, Prajna Wira; Sensuse, Dana Indra
Makara Journal of Technology Vol. 14, No. 1
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Abstract

Ontology-Based Automatic Classification for News Articles in Indonesian Language. Searching specific information will be difficult if relying only on query. Choosing less specific queries will result in a lot of irrelevant information fetched by the system. One of the most successful ways to overcome this problem is to perform document classification based on the topic. There are many methods that can be used to conduct such a classification, such as using statistical and machine learning approaches. However, those document classification methods require training the data or learning the documents. In this study, the authors attempted to classify documents using a method that doesn’t require learning the documents. This classification method uses ontology to classify documents. Document classification using ontology is done by comparing the value of similarity among documents and existing node in the ontology. A document is classified into a category or a node if it has the highest similarity value in one of the nodes in the ontology. The results show that ontology can be used to perform document classification. The recall value is 97.03%, the precision is 91.63%, and the f-measure is 94.02%.
Particle Filter with Binary Gaussian Weighting and Support Vector Machine for Human Pose Interpretation Agustien, Indah; Widyanto, Muhammad Rahmat; Endah, Sukmawati Nur; Basaruddin, Tarzan
Makara Journal of Technology Vol. 14, No. 1
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This paper proposes human pose interpretation using particle filter (PF) with Binary Gaussian Weighting and support vector machine (SVM). In the proposed system, particle filter is used to track a human object, then this human object is skeletonized using thinning algorithm and classified using SVM. The classification is to identify human pose, whether it is normal or abnormal behavior. Here particle filter is modified through weight calculation using Gaussian distribution to reduce the computational time. The modified particle filter consists of four main phases. First, particles are generated to predict target’s location. Second, the weight of certain particles is calculated and these particles are used to build Gaussian distribution. Third, the weight of all particles is calculated based on Gaussian distribution. Fourth, particles are updated based on each weight. The modified particle filter could reduce computational time of object tracking since this method does not have to calculate particle’s weight one by one. To calculate weight, the proposed method builds Gaussian distribution and calculates particle’s weight using this distribution. Through an experiment using video data taken in front of the cashier of a convenience store, the proposed method reduced computational time in tracking process until 68.34% in average compared to the conventional one, meanwhile the accuracy of tracking with this new method is comparable with particle filter method, i.e. 90.3%. Combining particle filter with binary Gaussian weighting and support vector machine is promising for advanced early crime scene investigation.
Petroleum Degradation in Soil by Thermophilic Bacteria with Biopile Reactor Nugroho, Astri; Effendi, Edison; Karonta, Yulius
Makara Journal of Technology Vol. 14, No. 1
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Crude oil degradation has been carried out using biopile reactor in total petroleum hydrocarbon (TPH) concentration of 5%, 10% and 15%. The thermophilic microorganisms used from isolation result and identification are Aeromonas salmonicida, Bacillus pantothenticus, and Stenotrophomonas maltophilia. The biodegradation of biopile reactor is done by various concentrations of TPH, total plate count (TPC), and volatile suspended solid (VSS) per day for 30 days. The biodegradation of kinetic parameter calculated consists of μ, μm, Y, Yt, Yobs, Kd, Ks from TPH concentration decision, and TPC and VSS in every microorganism with t (observation time) of 0 hour to 168 hours. The crude oil separation efficiency in a biople reactor shows that the largest separation occurs in a starting TPH concentration of 15%, which becomes 61.8% later on, followed by a starting TPH concentration of 10% and 5%, which is as much as 61% and 48.4%.
Ergonomic Analysis of UI’s BicyclesUsing Posture Evaluation Index (PEI) Method in Virtual Environment Muslim, Erlinda; Nurtjahyo, Boy; Zulkarnain, Zulkarnain; Afrinotha, Liza
Makara Journal of Technology Vol. 14, No. 1
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Ergonomic Analysis of UI’s Bicycles Using Posture Evaluation Index (PEI) Method in Virtual Environment. This research was conducted to study the ergonomic aspect of University of Indonesia’s bicycles in virtual environment. Software Jack 6.0 was used to analyze it. PEI was used as an approach that integrated the results of three methods: lower back analysis (LBA), ovako working posture analysis (OWAS), and rapid upper limb assessment (RULA). The research objective is to evaluate the existing design of University of Indonesia’s bicycles and to determine the most ergonomic redesign which concerns handlebar height and saddle height modification. The result showed that the most ergonomic design of University of Indonesia’s bicycles is the one with the highest handlebar height (22 cm) and the lowest saddle height (11 cm).

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