Taufik Djatna

Tourism recommendation based on vector space model using composite social media extraction

Intentionally or not, social media users likely to share others recommendation about things, included tourism activities. In this paper we proposed a technique which was able to structure the joint recommendation of composite social media and extract them into knowledge about the tourist sites by deploying the vector space model. We included advice seeking technique to not only calculate recommendations obtained from the profile itself but also recommendations by social network users. This is a potential solution to handle sparsity problem that usually appears in conventional recommender systems. We further formulated an approach to normalize the unstructured text data of social media to obtain appropriate recommendation. We experimented the real world data from various source of social media in R language. We evaluated our result with Spearmans rank correlation and showed that our formulation has diversity recommendation with positive correlation to users profile.

An analysis and design of frozen shrimp traceability system based on digital business ecosystem

Traceability system is one of the most critical requirements in logistic information systems and the supply chain risk management for both global food safety and quality assurance. Realtime documentation from the earlier stages of production process enabled the two way process of traceability. This paper presented an analysis and design for traceability system of frozen Vanname shrimp based on digital business ecosystems (DBE) model. Business Process Model Notation (BPMN 2.0) was the primary tool in analyzing the task for capturing and transferring data processing between traceable units in each layer of DBE. Business process analysis helped to understand the capturing steps as the main element within such traceability system. The results of the analysis showcased how traceability system work in digital business ecosystem which involved on dispersed stakeholders. Manual data transformation to the digital system was provided by stakeholders using digital species metaphors. The requirement for factor analysis was computed with Relief method to select the most important attribute to capture. Our evaluation showed that the proposed system was able for estimating water salinity and related hatchery parameters changing, such as broodstock ID which utilized as key code. Current results showed the readiness of application to transfer into real world operation.

A real time simulation model of production system of Glycerol Esterification with self optimization

This paper presents a new approach of a Real Time Simulation (RTS) to model the Glycerol Esterification (GE) production system with Self Optimization(SO). The quality and capacity of production GE are the factors that need to monitor and control. In this model, we deployed BPMN to analyze and design the requirement and used data acquisition system with real time sensor. Real-time data acquisition by optical sensors acquired several quality parameters such as viscosity, pH, purity and density which was interfaced to a SQL database. The model of self-optimization for quality surveillance was based on previous Wagels (2012) work. The experiments showed that the evaluation of the system performance was operatable to optimize a range of parameter esterification with Oleic Acid in producing Glycerol Mono Oleate (GMO) such as temperature between at range of 240-260 °C, baffle rotation speed between at range 300-400 RPM and volume at range 25-30 L for each batch. The previous works only set in a fixed value at 250 °C, 350 RPM and 24L. In future work, it is recommended to accelerate the whole process including to re-structure the real time data acquisition system.

Visual usability design for mobile application based on user personality

Currently visual usability for mobile applications is a must, whilst more demand for personalized the design both aesthetic and personal preference dynamically. It was designed to ease people with high mobility. When designing user interface, designers focus on visual usability, user needs, and user preferences. Each user has different preferences about interface designs because of their personality. In this paper, we proposed a visual usability design for mobile application based on user personality. Our approach was based on psychological aspects that enabled to perform personal preference appointing to specific visual usability of preferred experiences. The objectives of this paper are to identify and formulate rules for interface design in mobile application based on user personality. Kansei engineering is a method to get user needs and user preferences based on his or her senses and cognition. Association rule mining and bond measure is a method for finding a relationship between user preferences and user personality.

Optimization process of glycerol esterification using real time adaptive control

The synthesis reaction used in esterification needs high energy consumption and a precise processing time to get the best yield of target. In this study, a model was formulated to optimize glycerol esterification process by minimizing the time needed for the process and maximizing the yield of Mono-glycerides. This optimization has gained importance for boosting the esterification industry and improving the production efficiency. Optimization through adaptive monitoring and control has provided significant advances in the process efficiency, a lower energy consumption and a better product quality. This paper presents the optimization with a computational algorithm in real time and adaptive control (RTAC), as compared to the conventional (traditional) methods to monitor and control of glycerol esterification processes. The identification of esterification status based on temperature and time are evaluated to strengthen the optimization. An adaptive method as feature selection to select wavelength IR sensors at specified intervals was carried out with Relief algorithm and Adaptive Pillar K-means clustering method to set the parameter control was proposed in this paper. Many combinations were evaluated from real time condition process, to achieve the best optimization results. The experimental results demonstrate that real time adaptive control can be achieved by using three clusters, which are heating up, stabilizing and finishing. In RTAC, each cluster has its own parameter to set the control point by the servo motor that was attached to magnetic stirrer-heater. By using optimization parameter for each cluster, esterification process time can be shortened by 15-20 minutes with a higher yield (7% or more), lower range stirrer rotation (300rpm-450 rpm) and a lower final temperature of 200°C-210°C.

Tandem repeats analysis in DNA sequences based on improved Burrows-Wheeler transform

The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including Mapping and Assembly with Quality (MAQ), which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Therefore, we carried out an in-depth performance analysis of BWA a popular BWT-based aligner and discovered that its performance is significantly better than MAQ although, it has drawbacks regarding execution speed, time complexity and accuracy. Based on those factors we implemented an improved Burrows-Wheeler Alignment algorithm (BWA), anew read alignment package which is original BWT optimized by source code of Ziv-Lempel (LZ-77) sliding window technique and prefix trie string matching, to efficiently search for inexact and exact matches on tandem repeats against a large reference sequence genome. Our analysis show that search speed of improved BWA significantly increased by approximately 1.40 ×faster than MAQ-32 while achieving sufficiently higher accuracy with percent confidence of 96.7 % and 93.0 %. Moreover, it is more efficient to search exact and inexact matches supported by percent error of 0.05 % single ends and 0.04 % for paired end reads also more effective to search for left and right overlap tandem repeat at percent confidence of 88.9%.

Promoting Waste-to-Energy Program for BRT Project Based on Participatory Research Approach: A Case of Used Cooking Oil in Bogor City, Indonesia

The rapid increase in population has directly resulted into increased energy demand, especially in transportation sector. To survive with the growth of energy consumption, transit has become key alternative to alleviate mobility problem in the country. However, to cope with the increasing fuel price and limited resources in the coming near future, the important consideration for transit agencies is to guide on how to successfully implement BRT in the changing political, institutional, and operational setting. The alternative of energy sources from biomass production has received much attention, which could be obtained from the agriculture crop or from domestic waste material. To enhance fuel diversification, in the same time also to eliminate the environmental pollution through efficient Bus Rapid Transit (BRT), this paper discusses the possibilities of utilizing used-cooking oil for BRT in Bogor as a case study. With an objective of understanding the underlying factors governing the utilization of used-cooking oil as biodiesel, the policy interventions required for better dissemination of renewable energy are also discussed. Thus, to increase the availability, use of alternative energy and maintain the amount of raw material to produce sufficient fuel as an alternative energy, the incentive programs and campaigns are the must. Participatory Approach (PA) was adopted to encourage all stakeholders to participate in the process of bio-diesel material collection. Finally, the use of used-cooking oil for BRT could be a key solution for current problem faced by the study area i.e., traffic congestion that demands efficient BRT, and meeting demand for the waste used-cooking oil for its proper utilization in BRT as a biodiesel fuel. Thus, this proposed program will help to tackle these twin objectives of smoothing traffic in the city and reduce emission from the city transportation system.

Selecting User Influence on Twitter Data Using Skyline Query under MapReduce Framework

The aim of this research was to select and identify user influence on Twitter data. In identification stage, the method proposed in this study was matrix Twitter approach, sentiment analysis, and characterization of the opinion leader. The importan characteristics included external communication, accessib ility, and innovation. Based on these characteristics and information from Twitter data through matrix Twitter and sentiment analysis, a algorithm of skyline query was constructed for the selection stage. Algorithm of skyline query selected user influence by comparing with other users according to values of each characteristic. Thus, user influence was indicated as user that was not influenced b y other users in any combination of skyline objects. The use of MapReduce framework model in identification and selection stage, support whole operation where Twitter had b ig size data and rapid changes. The results in identification and selection of user influence exhib ited that MapReduce framework minimized the execution time, whereas in parallel skyline query could reveal user influence on the data.

A System Analysis and Design for SMEs Product Presentation on E-commerce Website based on Kansei Engineering (Case Study: SMEs Products of Ponorogo Regency)

Nowadays, various e-commerce websites are readily accessible to consumers and are increasing rapidly over time. The vast advantages provided by e-commerce websites have made consumers become more sophisticated. Consumers will choose the e-commerce that matches their own feeling rather than the ones that could function well. Kansei Engineering (KE) is a technology to assimilate human kansei for a product and design variable. Previously, there were many studies that applied KE on e-commerce website design. Among them are the ones that focus on e-commerce design. However, there is still no study that pays attention in product presentation design on e-commerce website based on KE. The development of e-commerce website design for Ponorogo’s SMEs product marketing can focus on affective quality of the design. The affective responses that affect the user’s perception of cognitive quality, usability and ease of use of e-commerce. The development of SMEs e-commerce website design should be able to meet the consumers’ expectation. The good affective quality is one of the pleasure factor of the consumer’s needs. This study is aimed to make SMEs product presentation on e-commerce website to meet the affective needs of the user by using Kansei Engineering. The BPMN is used to analyse the process design of the SMEs e-commerce website. The result of Kansei words selection and extraction using TF-IDF and PCA are three design concepts. The formulation of new SME e-commerce website results from the integration of three design concept and four design elements. The “Modern” concept has the greatest value than other concepts after QTT-1 analysis.

Real-time optimization using gradient adaptive selection and classification from infrared sensors measurement for esterification oleic acid with glycerol

Purpose The production of glycerol derivatives by the esterification process is subject to many constraints related to the yield of the production target and the lack of process efficiency. An accurate monitoring and controlling of the process can improve production yield and efficiency. The purpose of this paper is to propose a real-time optimization (RTO) using gradient adaptive selection and classification from infrared sensor measurement to cover various disturbances and uncertainties in the reactor. Design/methodology/approach The integration of the esterification process optimization using self-optimization (SO) was developed with classification process was combined with necessary condition optimum (NCO) as gradient adaptive selection, supported with laboratory scaled medium wavelength infrared (mid-IR) sensors, and measured the proposed optimization system indicator in the batch process. Business Process Modeling and Notation (BPMN 2.0) was built to describe the tasks of SO workflow in collaboration with NCO as an abstraction for the conceptual phase. Next, Stateflow modeling was deployed to simulate the three states of gradient-based adaptive control combined with support vector machine (SVM) classification and Arduino microcontroller for implementation. Findings This new method shows that the real-time optimization responsiveness of control increased product yield up to 13 percent, lower error measurement with percentage error 1.11 percent, reduced the process duration up to 22 minutes, with an effective range of stirrer rotation set between 300 and 400 rpm and final temperature between 200 and 210°C which was more efficient, as it consumed less energy. Research limitations/implications In this research the authors just have an experiment for the esterification process using glycerol, but as a development concept of RTO, it would be possible to apply for another chemical reaction or system. Practical implications This research introduces new development of an RTO approach to optimal control and as such marks the starting point for more research of its properties. As the methodology is generic, it can be applied to different optimization problems for a batch system in chemical industries. Originality/value The paper presented is original as it presents the first application of adaptive selection based on the gradient value of mid-IR sensor data, applied to the real-time determining control state by classification with the SVM algorithm for esterification process control to increase the efficiency.