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<![CDATA[Segmentation Analysis of Students in X Course with RFM Model and Clustering ]]>
<![CDATA[Yanuar Rafi Rahadian]]>;
<![CDATA[Bambang Syairudin]]>
<![CDATA[ JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j24433527.v0i1.6776
<![CDATA[In the business world, the competition to maintain and obtain more customers has become tougher. The presence of new players entering the market is driven by the developments of internet and advertisement. The X guitar course is an institution engaged in the field of non-formal education services. The customers are the course student that has made the payment transaction. The map of customer segmentation is one of the most important components in finding the main needs of each customer. Know the main needs of each customer is expected to increase the customer’s loyalty. Customer segmentation can be done by using the clustering method through a data mining approach in the form of RFM (Recency, Frequency and Monetary) Models. Recency is the data of the last payment transaction date. Frequency shows the number of course payment transactions. Monetary comes from the nominal amount of the transaction. RFM data is combined with the Fuzzy Gustafson-Kessel and K-Means clustering method to produce output in the form of k-clusters of customer. The formed segment is expected to represent the need of customers that vary by using validation process with the Global Silhouette Index. The customer population of the course is 225 students. It has been concluded that the RFM score for each subject by using 3 FGK clusters is the optimum cluster model with the largest Silhouette Index, which is 0.523. This research is expected to provide an in-depth analysis of customer segmentation for X guitar course.]]>
<![CDATA[Cost-Benefit Analysis of POME Biogas Power Plant: Case Study of PLTBg Suka Damai ]]>
<![CDATA[Donny Yoesgiantoro]]>
<![CDATA[ JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j24433527.v0i1.6775
<![CDATA[Palm Oil Mill Effluent (POME) is a byproduct of processing fresh palm fruit bunches into crude palm oil (CPO) which has negative externalities in the form of gas containing methane, carbon dioxide and other greenhouse gases (GHG) which is very dangerous for sustainability environment. The use of pome as feedstocks for biogas power plants (PLTBg) changes the negative externalities of pome into positive externalities such as increased electrification in the area around the palm oil mill (PKS) and also good for environmental sustainability. PLTBg Suka Damai with a capacity of 2.4 Mw is planned to reach the Commercial Operating Date (COD) in 2019, the financial calculation has a cost-benefit ratio of 1.19, percentage of Internal Rate of Return (IRR) of 12.84%, percentage of weighted cost of capital (WACC) 10% and a Net Present Value (NPV) of Rp 21,275,609,209.00. Using the cost-benefit analysis method, the authors calculate the positive externalities generated by PLTBg Suka Damai by comparing the value of benefits into three (3) alternative scenarios. The scenario I add the social cost of carbon (SCOC) as additional benefits; scenario II adds carbon credit income parameters from the REDD+ scheme; scenario III only utilizes the benefits of electricity sales and the electrification without adding additional benefits. Comprehending all the results, the first scenario with SCOC is the most optimize scenario for it provides far greater benefits to the community, far greater than the financial revenue received by the PLTBg itself.]]>
<![CDATA[The Rate of Seller Correctness in Naming Batik Solo Pattern: Studied in Indonesia Online Marketplace ]]>
<![CDATA[Berlian Rahmy Lidiawaty]]>;
<![CDATA[Mohammad Isa Irawan]]>;
<![CDATA[Raden Venantius Hari Ginardi]]>
<![CDATA[ JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j24433527.v0i1.6780
<![CDATA[Every pattern in batik Solo has different meaning that affects its use. There are patterns for cultural ceremony, including funerals. Therefore, the seller of batik Solo’s product have to be able to give the right title as the name of its product in online marketplace, so the customer will not missw ear the batik in the wrong ceremony. According to the importance of naming batik Solo’s product, this study aims to assess the accuracy of batik Solo pattern naming by sellers in Indonesian online marketplace. Thus the result of it can be used by the buyer as a recommendation where is the best marketplace to purchase the batik Solo product. First, the study collect the images sample from four biggest marketplace in Indonesia; Tokopedia, Bukalapak, Shopee and Lazada. The sample was collected by inputing the name of batik Solo pattern in the marketplace’s search bar. The keywords that have been used to collect the sample are batik parang, batik truntum, batik sawat, batik kawung and batik slobog. Those are the kinds of batik Solo pattern that has different expedience from each other. After 834 samples have been collected, the study assigns whether the seller give the correct name to the batik Solo product or not. The result of this study are the correctness percentage (CP) of the seller in naming their batik Solo product. In general the CP is 82,13%, Marketplace with the highest CP is Lazada (95,42%) and the highest CP of pattern is parang (91%). Beside that, the study also rates marketplace with the parameter of Best Marketplace by Pattern (BMP) and Best Marketplace of Category (BMC). The study divided the parameters to rate marketplace, because the best marketplace that has the highest correctness percentage in one category of a pattern is not always be a marketplace that has the highest correctness percentage in that pattern.]]>
<![CDATA[A Positioning Map and Future Research Agenda of Collaborative Consumption ]]>
<![CDATA[Damayanti Octavia]]>;
<![CDATA[Gatot Yudoko]]>;
<![CDATA[Reza Ashari Nasution]]>
<![CDATA[ JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j24433527.v0i1.6784
<![CDATA[Collaborative consumption (CC) is the new business model which overlaps with the concept of sharing economy (SE). However, CC has some unique characteristics that are not found in SE. This study aims to compare the two based on three dimensions: compensation, ownership, and platform. E- Commerce (EC) is included into the comparison in order to show that CC is actually a combination of SE and EC, thus covering a larger set than the other two concepts. The method used in this study is the literature study. The methods used CC concept manually and VOSviewer software to reassure and explore the unique characteristics of CC in comparison with SE and EC. The positioning map based on two dimensions: compensation and platform generate six business models that can be represented the characteristic of CC, SE, and EC. The six models are: (1) platform-based and monetary compensation; (2) platform-based and non-monetary compensation; (3) platform-based and without compensation; (4) non-platform-based and monetary compensation; (5) non-platform-based and non-monetary compensation; (6) non-platform-based and without compensation. The last dimension is ownership describe that CC activity is including exchange-based and access-based activity, while SE provides access-based activity only and EC offering exchange-based activity. The study also aims to discover the unique characteristics of CC that will be used as the basis for developing a future research agenda of CC.]]>
<![CDATA[Building Customer Citizenship Behavior from Relationship Quality and Perceived Value Perspective in Online Transportation Service ]]>
<![CDATA[Tatik Suryani]]>;
<![CDATA[Indra Listyarti]]>
<![CDATA[ JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j24433527.v0i1.6789
<![CDATA[Recently, Customer Citizenship behavior (CCB) become research focus in marketing. But, not many research focus on the antecedent of this variable from marketing behavior perspective. The research objective is to examine the effect of Relationship Quality and Perceived Value on CCB in online transportation services and Customer Satisfaction as the mediation in this relationship. Research involved 400 online transportation customers in Indonesia who used minimum three times in this transportation. By using Partial Least Square (PLS), the result found that Relationship Quality has a significant positive effect on Customer Satisfaction and CCB, Perceived Value has positive significant effect on Customer Satisfaction and has not significant effect CCB. It means that for strengthen CCB, the online transportation should create customer satisfaction. Research also found that Customer Satisfaction has a positive effect on CCB. The implication of the research is online transportation should improving the relationship quality and value for creating customer satisfaction for strengthening CCB. Customer satisfaction is the important conditions for improving CCB.]]>
<![CDATA[Role and Strategy of Hotel Public Relations in Returning Guests After Selat Sunda Tsunami ]]>
<![CDATA[Widya Nur Bhakti Pertiwi]]>;
<![CDATA[Diqbal Satyanegara]]>;
<![CDATA[Asmi Ayuning Hidayah]]>
<![CDATA[ JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j24433527.v0i1.7045
<![CDATA[The purpose of this research is to figure out the role of public relations, as well as the strategy of public relations in the effort to improve the hotel occupancy rate in Anyer, Serang, Banten after the Selat Sunda tsunami. The methodology used in this study is a qualitative descriptive approach, with with in-depth interviews to collect data. This method of data collection is commenced by interviews with hotel managers in Anyer. The samples of this research are five hotels in Anyer Serang, Banten, to represent their respective classes: five-star hotels, four-stars, three-star, and budget hotels. The results of this study show that the PR of the hotels in Anyer have done their role well, but they have not been able to increase the maximum the number of room occupancy of the hotels in Anyer, Serang, Banten.]]>
<![CDATA[Segmentation Analysis of Students in X Course with RFM Model and Clustering ]]>
<![CDATA[Yanuar Rafi Rahadian]]>;
<![CDATA[Bambang Syairudin]]>
<![CDATA[ Jurnal Sosial Humaniora 2020: Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
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DOI: 10.12962/j24433527.v0i1.6776
<![CDATA[In the business world, the competition to maintain and obtain more customershas become tougher. The presence of new players entering the market isdriven by the developments of internet and advertisement. The X guitar courseis an institution engaged in the field of non-formal education services. Thecustomers are the course student that has made the payment transaction. Themap of customer segmentation is one of the most important components infinding the main needs of each customer. Know the main needs of eachcustomer is expected to increase the customer’s loyalty. Customersegmentation can be done by using the clustering method through a datamining approach in the form of RFM (Recency, Frequency and Monetary)Models. Recency is the data of the last payment transaction date. Frequencyshows the number of course payment transactions. Monetary comes from thenominal amount of the transaction. RFM data is combined with the FuzzyGustafson-Kessel and K-Means clustering method to produce output in theform of k-clusters of customer. The formed segment is expected to representthe need of customers that vary by using validation process with the GlobalSilhouette Index. The customer population of the course is 225 students. It hasbeen concluded that the RFM score for each subject by using 3 FGK clustersis the optimum cluster model with the largest Silhouette Index, which is 0.523.This research is expected to provide an in-depth analysis of customersegmentation for X guitar course]]>
<![CDATA[The Rate of Seller Correctness in Naming Batik Solo Pattern: Studied in Indonesia Online Marketplace ]]>
<![CDATA[Berlian Rahmy Lidiawaty]]>;
<![CDATA[Mohammad Isa Irawan]]>;
<![CDATA[Raden Venantius Hari Ginardi]]>
<![CDATA[ Jurnal Sosial Humaniora 2020: Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
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DOI: 10.12962/j24433527.v0i1.6780
<![CDATA[Every pattern in batik Solo has a different meaning that affects its use. Thereare patterns for cultural ceremonies, including funerals. Therefore, the sellerof batik Solo’s product has to be able to give the right title as the name of itsproduct in the online marketplace, so the customer will not miss wear thebatik in the wrong ceremony. According to the importance of naming batikSolo’s product, this study aims to assess the accuracy of batik Solo patternnaming by sellers in Indonesian online marketplace. Thus the result of it canbe used by the buyer as a recommendation where is the best marketplace topurchase the batik Solo product. First, the study collects the images samplefrom four biggest marketplaces in Indonesia; Tokopedia, Bukalapak, Shopeeand Lazada. The sample was collected by inputting the name of batik Solopattern in the marketplace’s search bar. The keywords that have been usedto collect the sample are batik Parang, batik Truntum, batik Sawat, batikKawung and batik Slobog. Those are the kinds of batik Solo pattern that hasdifferent expedience from each other. After 834 samples have been collected,the study assigns whether the seller give the correct name to the batik Soloproduct or not. The result of this study is the correctness percentage (CP) ofthe seller in naming their batik Solo product. In general, the CP is 82,13%,Marketplace with the highest CP is Lazada (95,42%) and the highest CP ofpattern is Parang (91%). Besides that, the study also rates marketplace withthe parameter of Best Marketplace by Pattern (BMP) and Best Marketplaceof Category (BMC). The study divided the parameters to rate marketplacebecause the best marketplace that has the highest correctness percentage inone category of a pattern is not always a marketplace that has the highestcorrectness percentage in that pattern.]]>
<![CDATA[A Positioning Map and Future Research Agenda of Collaborative Consumption ]]>
<![CDATA[Damayanti Octavia]]>;
<![CDATA[Gatot Yudoko]]>;
<![CDATA[Reza Ashari Nasution]]>
<![CDATA[ Jurnal Sosial Humaniora 2020: Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
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Check in Google Scholar
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DOI: 10.12962/j24433527.v0i1.6784
<![CDATA[Collaborative consumption (CC) is the new business model which overlapswith the concept of sharing economy (SE). However, CC has some uniquecharacteristics that are not found in SE. This study aims to compare the twobased on three dimensions: compensation, ownership, and platform. ECommerce (EC) is included into the comparison in order to show that CC isactually a combination of SE and EC, thus covering a larger set than the othertwo concepts. The method used in this study is the literature study. Themethods used CC concept manually and VOSviewer software to reassure andexplore the unique characteristics of CC in comparison with SE and EC. Thepositioning map based on two dimensions: compensation and platformgenerate six business models that can be represented the characteristic of CC,SE, and EC. The six models are: (1) platform-based and monetarycompensation; (2) platform-based and non-monetary compensation; (3)platform-based and without compensation; (4) non-platform-based andmonetary compensation; (5) non-platform-based and non-monetarycompensation; (6) non-platform-based and without compensation. The lastdimension is ownership describe that CC activity is including exchange-basedand access-based activity, while SE provides access-based activity only andEC offering exchange-based activity. The study also aims to discover theunique characteristics of CC that will be used as the basis for developing afuture research agenda of CC.]]>
<![CDATA[Building Customer Citizenship Behavior from Relationship Quality and Perceived Value Perspective in Online Transportation Service ]]>
<![CDATA[Tatik Suryani]]>;
<![CDATA[Indra Listyarti]]>
<![CDATA[ Jurnal Sosial Humaniora 2020: Special Edition 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
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DOI: 10.12962/j24433527.v0i1.6789
<![CDATA[Recently, Customer Citizenship behavior (CCB) has become a research focusin marketing. However, not many researches focus on the antecedent of thisvariable from the marketing behavior perspective. The research objective isto examine the effect of Relationship Quality and Perceived Value on CCB inonline transportation services and Customer Satisfaction as the mediation inthis relationship. The research involved 400 online transportation customersin Indonesia who used a minimum of three times in this transportation. Byusing Partial Least Square (PLS), the result found that Relationship Qualityhas a significant positive effect on Customer Satisfaction and CCB, PerceivedValue has a positive significant effect on Customer Satisfaction and has nosignificant effect CCB. It means that for strengthen CCB, onlinetransportation should create customer satisfaction. Research also found thatCustomer Satisfaction has a positive effect on CCB. The implication of theresearch is online transportation should improving the relationship qualityand value for creating customer satisfaction for strengthening CCB. Customersatisfaction is an important conditions for improving CCB.]]>
