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INDONESIA
JURNAL SOSIAL HUMANIORA (JSH)
ISSN : 19795521     EISSN : 24433527     DOI : -
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Articles 6 Documents
Search results for , issue "Special Edition 2020" : 6 Documents clear
Segmentation Analysis of Students in X Course with RFM Model and Clustering Yanuar Rafi Rahadian; Bambang Syairudin
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6776

Abstract

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.
Cost-Benefit Analysis of POME Biogas Power Plant: Case Study of PLTBg Suka Damai Donny Yoesgiantoro
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6775

Abstract

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.
The Rate of Seller Correctness in Naming Batik Solo Pattern: Studied in Indonesia Online Marketplace Berlian Rahmy Lidiawaty; Mohammad Isa Irawan; Raden Venantius Hari Ginardi
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6780

Abstract

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.
A Positioning Map and Future Research Agenda of Collaborative Consumption Damayanti Octavia; Gatot Yudoko; Reza Ashari Nasution
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6784

Abstract

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.
Building Customer Citizenship Behavior from Relationship Quality and Perceived Value Perspective in Online Transportation Service Tatik Suryani; Indra Listyarti
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6789

Abstract

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.
Role and Strategy of Hotel Public Relations in Returning Guests After Selat Sunda Tsunami Widya Nur Bhakti Pertiwi; Diqbal Satyanegara; Asmi Ayuning Hidayah
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.7045

Abstract

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.

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