Showing papers by "Petra Christian University published in 2011"

Pengaruh Pengungkapan Corporate Social Responsibility Terhadap Abnormal Return

Abstract: Penelitian ini bertujuan mengetahui pengaruh pengungkapan corporate social responsibility (CSR) terhadap abnormal return. Penelitian ini menggunakan variabel kontrol return on equity (ROE) dan price to book value (PBV). Pengukuran pengungkapan CSR didasarkan pada Global Reporting Initiative (GRI). Sedangkan, abnormal return dihitung dengan menggunakan market adjusted model. Penelitian dilakukan terhadap laporan tahunan 40 perusahaan sumber daya alam yang terdaftar di Bursa Efek Indonesia pada tahun 2007-2009. Hasil penelitian menunjukkan bahwa pengungkapan CSR berpengaruh signifikan terhadap abnormal return yang menandakan bahwa investor mempertimbangkan informasi CSR untuk membuat keputusan. Variabel kontrol ROE berpengaruh signifikan negatif terhadap abnormal return. Sedangkan, Variabel kontrol PBV tidak berpengaruh signifikan terhadap abnormal return.

Kualitas Layanan dan Loyalitas Pasien (Studi pada Rumah Sakit Umum Swasta di Kota Singaraja–Bali)

Abstract: This Study aims to determine the influence of Service Quality dimensions of patien loyalty Private Hospital in the town of Singaraja – Bali, which include: first, the influence of the Service Quality to the Loyalty of patiens simultaneusly; secondly, the influence of Service Quality to the loyalty of patiens partially; third, the most dominan dimension inflence patien loyalty. Individual analysis unit is connected with the analysis of the organization, in which General Hospital patiens in the town of Singaraja – Bali. By using Slovin formula, this study of 100 patiens from 57.695 private General Hospital in the town of Singaraja – Bali, namely : Karya Darma Usada General Hospital, Kerta Usada General Hospital, Parama Sidi General Hospital and TNI General Hospital. Technique of data collecting conducted interviews using a questionnaire and model absorvasi techniques. To examine the pattern of relationships which formed the model, use analysis tools which can explain simultaneusly and the partially relations, which a multivariate using SPSS versian 15. The results of this study indicate that: first, Service Quality which consists of Tangible, Reliability, Responsiveness, Assurance, and Empathy simultaneously influence on Patient Loyalty; second, Quality Services consist of Tangible, Reliability, Responsiveness, Assurance, and Empathy partially influential on Patient Loyalty; third, Reliability is a dimension that has a dominant influence on patient loyalty.

Data mining market basket analysis' using hybrid-dimension association rules, case study in Minimarket X

Abstract: Market-Basket Analysis is a process to analyze the habits of buyers to find the relationship between different items in their market basket. The discovery of these relationships can help the merchant to develop a sales strategy by considering the items frequently purchased together by customers. In this research, the data mining with market basket analysis method is implemented, where it can analyze the buying habit of the customers. The testing is conducted in Minimarket X. Searching for frequent itemsets performed by Apriori algorithm to get the items that often appear in the database and the pair of items in one transaction. Pair of items that exceed the minimum support will be included into the frequent itemsets are selected. Frequent itemsets that exceed the minimum support will generate association rules after decoding. One frequent itemsets can generate association rules and find the confidence, which is uses a hybrid-dimension association rules. The test results show, the application can generate the information what kind of products are frequently bought in the same time by the customers according to Hybrid-dimension Association Rules criteria. Results from the mining process show a correlation between the data (association rules) including the support and confidence that can be analyzed. This information will give additional consideration for owners of Minimarket X to make the further decision.

Komitmen afektif dalam organisasi, perceived organizational support, dan kepuasan kerja

Abstract: The research was quantitative explanative, which objectives included explaining relations between two or more variables. The data was gathered using questionnaire. In this research, Structural Equation Modelling (SEM) was used to answer the research questions. It was found out that perceived organizational support influenced both job satisfaction and affective commitment positively and significantly. However, it was also discovered that job satisfaction had a positive influence to affective commitment but it wass not significant.

Levenberg-Marquardt Recurrent Networks for Long- Term Electricity Peak Load Forecasting

Abstract: Increasing electricity demand in Java-Madura-Bali, Indonesia, must be addressed appropriately to avoid blackout by determining accurate peak load forecasting. Econometric approach may not be sufficient to handle this problem due to limitation in modelling nonlinear interaction of factors involved. To overcome this problem, Elman and Jordan Recurrent Neural Network based on Levenberg-Marquardt learning algorithm is proposed to forecast annual peak load of Java-Madura-Bali interconnection for 20092011. Actual historical regional data which consists of economic, electricity statistic and weather during 1995-2008 are applied as inputs. The networks structure is firstly justified using true historical dat a of 1995-2005 to forecast peak load of 2006-2008. Afterwards, peak load forecasting of 2009-2011 is conducted subsequently using actual historical data of 1995-2008. Overall, the proposed networks shown better performance compared to that obtained by Levenberg-Marquardt-Feedforward network, Double-log Multiple Regression, and with projection by PLN for 2006-2010.

Economic and environmental emissions analysis in Indonesian electricity expansion planning: Low-rank coal and geothermal energy utilization scenarios

Abstract: This paper examines utilization of low-rank coal and geothermal energy resources in the long-term Indonesian electricity expansion planning in high populated islands Java, Madura, and Bali up to 2027. The long-term electricity expansion of these areas meets several problems such as supply security, financial limitation, and environmental issues. Therefore, the modeling of long-term geothermal and low-rank coal utilization is examined in terms of expansion cost as well as the environmental impacts. In 2027, the required capacity to fulfill future demand is estimated 133 GW. Under the coal scenarios, the domination of coal becomes bigger with 75.4 GW or 57% of total electricity generation mix. However, under the geothermal scenarios, the installed power plant form geothermal sources increase to be 7 GW and coal utilization decreases to be only 67.6 GW or 51% of total electricity generation share. In the economic perspective, more geothermal power plant need to be developed in order to reduce to coal utilization in power generation. In the end of planning horizon, the coal scenario emits as much as 487 million tons of CO2 equivalents, while the geothermal scenario successes to reduce emissions by 43.3 million tons from the coal scenario's emissions.

Q learning behavior on autonomous navigation of physical robot

Abstract: Behavior based architecture gives robot fast and reliable action. If there are many behaviors in robot, behavior coordination is needed. Subsumption architecture is behavior coordination method that give quick and robust response. Learning mechanism improve robot's performance in handling uncertainty. Q learning is popular reinforcement learning method that has been used in robot learning because it is simple, convergent and off policy. In this paper, Q learning will be used as learning mechanism for obstacle avoidance behavior in autonomous robot navigation. Learning rate of Q learning affect robot's performance in learning phase. As the result, Q learning algorithm is successfully implemented in a physical robot with its imperfect environment.

Behaviors Coordination and Learning on Autonomous Navigation of Physical Robot

Abstract: Behaviors coordination is one of keypoints in behavior based robotics. Subsumption architecture and motor schema are example of their methods. In order to study their characteristics, experiments in physical robot are needed to be done. It can be concluded from experiment result that the first method gives quick, robust but non smooth response . Meanwhile the latter gives slower but smoother response and it is tending to reach target faster. Learning behavior improve robot’s performance in handling uncertainty. Q learning is popular reinforcement learning method that has been used in robot learning because it is simple, convergent and off policy. The learning rate of Q affects robot’s performance in learning phase. Q learning algorithm is implemented in subsumption architecture of physical robot. As the result, robot succeeds to do autonomous navigation task although it has some limitations in relation with sensor placement and characteristic.

Application of Topic Based Vector Space Model with WordNet

Abstract: Topic Based Vector Space Model (TVSM) proposed a new vector space that its dimensions is composed of topics. Every term and document is represented by vectors inside this vector space. By using topics as dimensions TVSM tries to overcome word-mismatch between terms with similar topics in finding relevant documents to query. This study proposes to develop relations between terms using WordNet and thesaurus to help TVSM calculating similarity between documents. Relations between terms are represented by relation score. This study proposes a way to find optimal relation score for a set of documents. To help indexing documents with multi language terms this study also proposes to use dictonary to expand query terms.

Kriging-Based Timoshenko Beam Element for Static and Free Vibration Analyses

Abstract: An enhancement of the finite element method using Kriging interpolation (K-FEM) has been recently proposed and applied to solve one- and two- dimensional linear elasticity problems. The key advantage of this innovative method is that the polynomial refinement can be performed without adding nodes or changing the element connectivity. This paper presents the development of the K-FEM for static and free vibration analyses of Timoshenko beams. The transverse displacement and the rotation of the beam are independently approximated using Kriging interpolation. For each element, the interpolation function is constructed from a set of nodes within a prescribed domain of influence comprising the element and its several layers of neighbouring elements. In an attempt to eliminate the shear locking, the selective-reduced integration technique is utilized. The developed beam element is tested to several static and free vibration problems. The results demonstrate the excellent performance of the developed element.

Kebijakan Komunikasi di Indonesia: Gambaran Implementasi UU No. 14 tahun 2008 tentang Keterbukaan Informasi Publik

Abstract: Freedom of getting information is also one of democracy state’s features since it is expected to stimulate participation of citizen. Furthermore, if there is more public information which can be got freely, it will strengthen the tendency of the change of society type into informative society. Indonesia tried to facilitate its citizens by providing such a basic bill in order to access public information. As a communication policy, this regulation has been implemented since its validity 2 years ago. This implementation of policy such as Bill No. 14 of 2008 talks about Transparency of Public Information become such a complicated problem. Problem related to regulation’s article which has to be as operational as possible when it will be implemented and also about its accuracy are factors that become a success key for public policy implementation involved the communication policy.

Model Persediaan Bahan Baku Multi Item dengan Mempertimbangkan Masa Kadaluwarsa, Unit Diskon dan Permintaanyang Tidak Konstan

Abstract: Many research focus on inventory problem, since inventory has significant effect to financial of a company This research tries to develop multi items inventory models by considering expire date and unit discount with stochastic demand Stochatic demand result in possibility of lost sales and backorder, so lost sales and backorder will be considered in the models The models are solved using simulation and Genetic Algorithm due to complexity of the models A numerical example and sensitivity analysis are conducted to verify the models The sensitivity analysis shows that inventory cost and backorder cost have significant effect to ordering time

The Use of Fly Ash and Bottom Ash in Geopolymer Mortar

Abstract: This experimental research focused on utilizing fly ash as source material and bottom ash as partial sand (fine aggregates) substitution in geopolymer mortar. Both of these products of combustion were obtained from Sejingkat coal fired power plant in Kuching. The effects of inclusion of bottom ash to partially replaced sand in geopolymer mortar on the mixture water demand and mechanical property were investigated with fixed flow. With 10% of sand substitution by bottom ash, the influences of the following quotients by mass on flow and compressive strength were studied: liquid alkaline to fly ash ratio, extra water to fly ash ratio, extra 12M potassium hydroxide (KOH) to fly ash ratio and the superplasticizer (SP) to fly ash ratio. Besides, the effect of mixing procedures on compressive strength of potassium activated geopolymer mortar was also being studied. Inclusion up to 50% of sand replacement by bottom ash in the geopolymer mixtures with 110± 5% fixed flow decreased the extra water demand of the fresh mortars. Further substitution beyond 50% increased the water requisite to maintain the flow within the addressed range. More bottom ash content has resulted in decreasing maximum sustainable compressive load per unit area of the mortars. Additions of liquid alkaline by mass of fly ash quotient linearly increased the flow of the geopolymer mortars; with duly rise in strength relative to the control sample due to boosted geopolymerisation process. The incorporation of extra water was more efficient than modified polycarboxylate superplasticizer in terms of flow improvement, with similar slight reduction in the strength at 7 days on account of the increased in liquid content. However, the mortar incorporated with the superplasticizer possessed superior compressive strength at 28 days over the mortar added with extra water. Additional extra 12M KOH has been effective in improving the flow of the control sample and inclusion of extra KOH/FA ratio by mass up to 0.06 has increased the maximum stress the specimen mortars can withstand under crush loadings. Incorporation beyond the ratio led to deterioration in the compressive strength. Premixing of fly ash with KOH solution has complimentary effect over the normal mixing sequence on the compressive strength of the geopolymer mortars.

Voice conversion application (VOCAL)

Abstract: Recently, a lot of works has been done in speech technology. Text-to-Speech and Automatic Speech Recognition have been the priorities in research efforts to improve the human-machine interaction. The ways to improve naturalness in human-machine interaction is becoming an inportant matter of concern. Voice conversion can be served as a useful tools to provide new insights related to personification of speech enabled systems. In this research, there are two main parameters are considered vocal tract structure and pitch. For conversion process speech is resolved in two components, excitation component and filtered component using Linear Predictive Coding (LPC). Ptich is determined by autocorrelation. After obtained the acoustic components from source speaker and target speaker, then the acoustic components will be mapped one-to-one to replaced the the acoustic feature from source speaker to target speaker. At least, signal is modified by resynthesis so the resulted speech would perceive as if spoken by target speaker.

The Influence of Customer Relationship Management (CRM) on Customer Loyalty in JW Marriott Hotel Surabaya

Abstract: Customer Relationship Management (CRM) is one of strategies to retain customers. By maintaining the relationship with customers, hopefully they will be loyal to companies. The objective of this study is to determine the influence of CRM on customer loyalty in JW Marriott Hotel, Surabaya using multiple linear regression analysis. The results of this study show that CRM, including financial benefits, social benefits and structural ties have positive effects significantly on customer loyalty in JW Marriott Hotel Surabaya. The most dominant factor influencing customer loyalty in JW Marriott Hotel, Surabaya is the structural ties.

Design and evaluation of two-wheeled balancing robot chassis

Abstract: Two-wheeled balancing robot is one of interesting non-linear plant. The goal is to control the robot so that it can move with only two wheels. This paper elaborates the design and evaluation of its chassis. The chassis is constructed with Lego Mindstorm NXT and controlled by the AVR ATMega16 microcontroller. The system uses MX2125 accelerometer sensor from Parallax to evaluate the robot chassis. Two chassis design, i.e. model A and B are developed. From the experiments, it is shown that robot chassis design must address the mechanically stable issue. Therefore chassis model A is discarded. PD controller is recommended for this chassis model B. The chassis also considers the flexibility to mount such a load. Mounting load under the axis helps to stabilize the chassis. This makes the controller design easier. The load position opens the further research topic. Using Lego Mindstorm is very helpful in design and evaluation of mechatronics set up.

Application of Buckling Restrained Braces for Seismic Strengthening of Irregular Gravity Load Designed Reinforced Concrete Frame Buildings

Abstract: Past earthquake disasters have shown that irregular gravity load designed (GLD) reinforced concrete (RC) frame buildings were very vulnerable to strong ground shaking. Many of them collapsed and caused loss of human lives as well as materials. Hence, in order to prevent future disasters, this type of buildings needs to be strengthened against earthquake. This paper presents a case study of an innovative approach for seismic strengthening of a typical six story residential building with a soft/weak first story using buckling restrained braces (BRBs). The seismic performance of the original GLD building and the retrofitted one are compared using three dimensional nonlinear dynamic time history analysis in OpenSees. The analysis results show that the innovative seismic strengthening approach for irregular GLD RC frame buildings using BRBs can significantly reduce maximum story drifts as well as building damages which benefits in reducing the risk of building’s collapse during earthquake.

Pengguna Media Interaktif Sebagai Kenyataan Maya: Studi Resepsi Khalayak Suarasurabaya.net Sebagai Media Interaktif

Abstract: My aim in writing this paper is to describe that in this fast-changing world, media in Indonesia has undergone a rapid transformation. Digital technology continues to reshape the mass media landscape using internet technology. Internet brings a technical communication revolution, a fundamental change takes place in the structure of connections, artificial memories and the reproduction of their content. Internet technology has made communication much easier and less expensive. It has attracted many people and has penetrated into people’s daily lives. The mass media also have accepted the internet. Almost all forms of traditional media (old media) in local media, such as radio, television, and newspaper have extended their work into this new field. The internet and the World Wide Web have both significantly influenced modern journalism. In online media allows readers to enjoy browsing their product and service of contents, such as news feed, podcasts, desktop alert, news on mobile phones, PDA and others mobile devices. Online media offer not only text but also digital images , audio file, moving images (video), internet radio and internet t v. The interactive features of the internet seemingly imply that online media have more advantages than traditional media forms (old media). So, the internet have dramatically evolved become new media with characteristic multimedia, hypertext, interactivity, archives , and virtuality. The most important structural new media characteristic is the integration of telecommunications, data communications and mass communication in a single medium – it is the convergence. It should be pointed out that the trend toward digital is affecting the various media and brings the local media in East Java to become a global media, where breaking news from Surabaya or anywhere in East Java is transmitted to around the world in a matter of minutes . The research was carried out to find out how user reception on convergence media, journalism and local media on the site of SuaraSurabaya.net and how to access subjective meanings that they have created based on t heir understanding on online media so far. The research is also interested in looking into user reception on information and communication technology based on its relevance with the selected theme namely discourses on global media in website of Radio Suara Surabaya.

Kajian ergonomi pada fasilitas duduk universitas kristen petra surabaya

Abstract: A sitting facility is an important element contributing to the effectiveness of teaching activities in a classroom. Using the quantitative and descriptive method of approach, this research takes the classroom in Petra Christian University as the research location. Main data, verbal data from informant, written dan visual documentations such as videos and photos are used as data sources. The factors to be researched from the four types of classroom chairs include aspects of dimension, material form and colour and their relevance to the user. This research aims to describe to what extent has ergonomic principles been applied to the classroom chairs in order to maintain the user’s comfort. The results of the evaluation of the four types of chair show that 77% of the Siwangi chairs could be used with comfort because they are in line with the user’s anthropometry. However, the other types of chair particularly the metal wood and Chettos chairs could only be used by 30% of the user population because the dimensions where not in line with the average user’s anthropometry.

BASE ISOLATION in TRADITIONAL BUILDING LESSON LEARNED from NIAS MARCH 28, 2005 EARTHQUAKE

Abstract: While modern buildings in Nias collapsed due to the March 28, 2005 strong earthquake (8.7 on Richter scale), the traditional northern Nias house (omo hada) survived without any damage. Omo hada has an oval plan with a raised platform consisting of wooden beam and plank supported by a complex arrangement of posts (ehomo) and x type bracing (diwa). The posts are not fixed on the ground, but rest on top of stone foundations. This kind of friction type support is also evident in other traditional houses in Indonesia. In this study, the behaviour of omo hada under spectrum consistent ground acceleration is studied. The supports of the traditional house are modeled as coulomb friction model and fixed support. Results of analysis show that the friction type support acts as base isolation. The presence of sliding at the friction type support significantly reduces the internal forces in the structure.

Pengelompokan Sunspot Pada Citra Digital Mahatari Menggunakan Metode Clustering Dbscan

Abstract: Penelitian yang dipublikasikan ini adalah bagian dari penelitian yang lebih besar dengan judul "Klasifikasi Otomatis Kelompok Bintik Matahari Untuk Menganalisa Kondisi Cuaca Antariksa" yang kami lakukan berkerjasama dengan peneliti-peneliti dari Lembaga Penerbangan dan Antariksa Nasional (LAPAN). Dalam penelitian tersebut akan dilakukan klasifikasi terhadap kelompok-kelompok bintik matahari (sunspot) pada citra digital matahari berdasarkan sistem klasifikasi ”Modified - Zurich Sunspot Classification”. Sebelum dilakukan proses klasifikasi, yang direncanakan akan menggunakan metode jaringan saraf tiruan, harus dilakukan beberapa pemrosesan terhadap citra matahari itu yaitu perbaikan citra digital matahari, deteksi lokasi bintik matahari dan terakhir pengelompokan bintik matahari. Hasil penelitian tentang perbaikan citra digital dan deteksi lokasi bintik matahari telah dipublikasikan sebelumnya. Sementara untuk dapat mengelompokkan bintik matahari yang berdekatan digunakan metode clustering DBSCAN. Secara teoritis metode ini cukup tepat digunakan, karena secara manual bintik matahari dikelompokkan berdasarkan kedekatan jaraknya dengan bintik matahari lainnya. Dari hasil penelitian dapat disimpulkan bahwa metode DBSCAN terbukti tepat untuk mengelompokkan bintik matahari, karena dapat menghasikan kelompok - kelompok yang sama dengan hasil pengelompokan secara manual yang dilakukan oleh pakar.

Pengecekan Plagiarisme Pada Code Dalam Bahasa C

Abstract: Informatics department of Petra Christian University has used to practice programming for students at programming studio, especially students who take algorithms and programming course. The system is currently implemented is to provide practice programming skill according to their ability. Assessment is done by calculating the points of all questions are done correctly. Problem which occurs at about the work in programming studio is plagiarism among students’ work. Unfortunately, plagiarism checking consumes a lot of time. In one semester, each student can do about 100 questions. If the total of students taking programming course, at least 100 people, we need many people to do this work. Departing from this problem, we design and develop an application to check for plagiarism between two different answer files from the same question. The degree of similarity is calculated using combined method of Jaccard similarity coefficient and cosine similarity coefficient. This system is able to check similarities in source code files are the work of students with moderate levels of complexity.

Design and evaluation of two-wheeled balancing robot chassis: Case study for Lego bricks

Abstract: Two-wheeled balancing robot is one of interesting nonlinear plant. The goal is to control the robot so that it can move with only two wheels. This paper elaborates the design and evaluation of its chassis. The chassis is constructed with Lego Mindstorm NXT and controlled by the AVR ATMega16 microcontroller. The system uses MX2125 accelerometer sensor from Parallax to evaluate the robot chassis. Two chassis design, i.e. model A and B are developed. From the experiments, it is shown that robot chassis design must address the mechanically stable issue. Therefore chassis model A is discarded. PD controller is recommended for this chassis model B. The chassis also considers the flexibility to mount such a load. Mounting load under the axis helps to stabilize the chassis. This makes the controller design easier. The load position opens the further research topic. Using Lego Mindstorm is very helpful in design and evaluation of mechatronics set up.

Selection of Environmentally Conscious Manufacturing's Program Using Multi-Criteria Decision Making: A Case Study in Electronic Company

Abstract: Nowadays, green purchasing, stop global warming, love the mother earth, and others that related to environment become hot issues. Manufactures industries tend to more active and responsive to those issues by adopting green strategies or program like Environmentally Conscious Manufacturing (ECM). In this article, an electronic company had applied 12 ECM Program and tries to choose one of those programs using 6 criteria, such as total cost involved, quality, recyclable material, process waste reduction, packaging waste reduction, and regulation compliance. By using multi-criteria decision making model, i.e. Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Modified TOPSIS methods, the ECM Program 9 (Open pit) is the best option.

Pemodelan Time Series Multivariat secara Automatis

Abstract: This research aims at establishing model of multivariate time series by means of econometric instruments. Four instruments in use are vector auto regressive (VAR), structural vector auto regressive (SVAR), vector error correction model (VECM), and structural vector error correction (SVEC). VAR and VECM are employed to estimate and construct models and, subsequently, predict the future values of an object. SVAR and SVEC serve to analyze innovative structures of a model. VAR and SVAR can be implemented only to stationary data whilst VECM and SVEC can be applied to non-stationary inputs. The identification and estimation of the model in this research are specifically designed by R software. Based on this software, all the aforestated models are conclusively able to identify dynamic relationship of endogenous variabel in a model well.

Load management effect on optimum sizing of stand-alone hybrid distributed generation

Abstract: This paper presents an optimum sizing assessment for stand-alone hybrid distributed energy system feeding a sub-village sized household community in the rural areas, affected by loading types based on demand side management principle. Simulations are carried out over the combination of hybrid power generation taking into account PV-battery, wind turbine, and diesel generator. Three loading management in which considered in this study are peak clipping, load shifting, and valley filling. Optimum hybrid generation sizing for each loading type is subject to minimum cost of energy. Besides, renewable generation fraction provided system optimum sizing is analyzed accordingly. The simulation result reveals that the least cost of energy is achieved by load shifting scheme with USD 0.39/kWh taking into account the combination of PV-battery, wind turbine, and diesel generator. In addition, the largest renewable energy fraction obtained from load shifting type as well, accounted for 73%.

The Influence of the Organizational Citizenship Behavior Towards the Service Quality Performances of the Private Universities in Surabaya–Indonesia

Abstract: The purposes of this research are to analyze the influence of Organizational Citizenship Behavior towards the Service Quality performances in private universities in Surabaya, Indonesia. The population of this research is the administrative employees of 6 Private Universities in Surabaya which have over 5000 students. The sample chosen for this research are 133 employees. The research findings revealed that the Service Quality performances for student, which are delivered by the administration staffs of private universities, are good. In addition the research showed that there is a positive and significant influence of Organizational Citizenship Behavior towards the Service Quality performances. Next, there are five indicators that created the Organizational Citizenship Behavior variable; they are altruism, civic virtue, courtesy, sportsmanship and conscientiousness. Meanwhile there are four indicators that created the Service Quality variable; they are responsiveness, empathy, assurance, and reliability. Keywords: Organizational Citizenship Behavior, Service Quality Performances, OCB Indicators, Service Qualty Indicators.

Classifier combination for telegraphese restoration

Abstract: This paper presents a classifier combination to solve telegraphese restoration problem. By implementing more than one classifier, it can support other classifier, and finally it can improve the performance. Using supplied development data, training data and testing data, the best model had an accuracy F = 79 %.