Judul: The Impact of Push-Pull-Mooring Effects on E-marketplace Customer Switching in COVID-19 Pandemic Era in Bogor City
Abstrak: Tren belanja online pada masa pandemi COVID-19 mengakibatkan persaingan antar e-marketplace semakin ketat karena para pelanggan semakin kritis dalam memilih alternatif terbaik yang sesuai dengan daya beli mereka. Pelanggan dapat melakukan perpindahan apabila e-marketplace yang digunakan kalah bersaing dengan berbagai e-marketplace pesaingnya. Penelitian ini bertujuan untuk mengidentifikasi karakteristik pelanggan e-marketplace di Kota Bogor; menganalisis pengaruh push-pull-mooring effects terhadap switching intention; menganalisis pengaruh moderasi mooring effects terhadap hubungan antara push effects dan pull effects dengan switching intention; dan menganalisis pengaruh switching intention terhadap switching behavior pelanggan e-marketplace. Penelitian ini menggunakan sampel sebanyak 280 orang penduduk Kota Bogor. Metode penentuan sampel yang digunakan adalah non-probability sampling jenis convenience sampling. Penelitian ini menggunakan analisis SEM-LISREL. Hasil penelitian ini menjadi rekomendasi untuk berbagai perusahaan e-marketplace dalam menyusun strategi untuk meminimalisir perpindahan pelanggannya., The online shopping trend during the COVID-19 pandemic era has increased fierce competition between e-marketplaces, as customers became more critical in choosing the best alternative that appropriate to their purchasing power. Customers can switch to other e-marketplaces if the one that they used is unable to compete with its competitors. This research aims to identify the characteristics of e-marketplace customers in Bogor City; analyze the effect of push-pull-mooring effects on switching intention; analyze the moderating effect of the mooring effects on the relationship between push effects and pull effects with switching intention; and analyze the effect of switching intention on switching behavior of e-marketplace customers. The sample of this research was 280 citizens of Bogor City. The method of determining the sample was non-probability sampling with its convenience sampling type. This research used SEM-LISREL analysis. The results of this research become recommendations for e-marketplace companies in developing strategies to minimize their customers switching.
Keyword: e-marketplace, push-pull-mooring effects, switching intention, SEM-LISREL

Judul: Customer Switching Behavior Analysis On Courier Service Users at E-Marketplace
Abstrak: Jasa kurir pada e-marketplace mengalami pertumbuhan yang signifikan, sehingga persaingannya semakin ketat. Tujuan dari penelitian ini adalah menganalisis posisi persaingan dan pangsa pasar penyedia jasa kurir pada e-marketplace akibat adanya perpindahan pengguna, menganalisis atribut kinerja layanan jasa kurir pada e-marketplace berdasarkan tingkat kepuasan pengguna dan tingkat fungsionalitas atribut kinerja, serta menganalisis faktor yang mempengaruhi terjadinya perpindahan pengguna. Penelitian ini menggunakan data primer dan data sekunder. Data diolah menggunakan analisis deskriptif, analisis rantai markov, dan analisis model kano dengan bantuan software SPSS, Ms. Excel, dan POM QM. Hasil penelitian ini menunjukkan bahwa jasa kurir yang menempati posisi persaingan teratas sebelum dan sesudah adanya perpindahan adalah J&T namun dengan pangsa pasar yang menurun. Faktor penyebab push effect didominasi oleh tidak terpenuhinya atribut must-be, penyebab pull effect didominasi oleh meningkatnya kinerja pada atribut one-dimensional dan attractive, dan penyebab mooring effect didominasi oleh peningkatan kinerja atribut one-dimensional dan terpenuhinya atribut must-be., Courier services on e-marketplaces have significant growth, so the competition getting higher. The purpose of this study is to analyze the competitive position and market share of courier service provider on the e-marketplace due to user switching, analyze the performance attributes of courier services on the e-marketplace based on the level of user satisfaction and the level of functionality, and analyze factors that affect to the switching of users. This study used primary data and secondary data. The data were processed used descriptive analysis, markov chain analysis, and kano model analysis with the help of SPSS software, Ms. Excel, and POM QM. The results of this study indicate that the courier service that occupies the top competitive position before and after the switching user is J&T but with a declining market share. The cause of the push effect is dominated by the unfulfilled must-be attributes, the cause of the pull effect is dominated by increased performance on the one-dimensional and attractive attributes, and the cause of the mooring effect is dominated by the increased performance of the one-dimensional attributes and the fulfillment of the must-be attributes.
Keyword: courier service, kano model, markov chain analysis, push pull mooring effect

Judul: Penyusunan Overlap Graph menggunakan Suffix Tree pada DNA Sequence
Abstrak: The DNA sequence assembly is very important in genome analysis. This step aims to reconstruct contigous DNA fragment (contigs) from short fragment by concatenating fragments based on the overlap region among them. This method employs overlap graph for solving the problems. In this graph, nodes represent fragments and edges represent overlap. This research developed a software for constructing overlap graph using suffix tree. The evaluation was conducted by measuring the number of nodes, number of edges, and the execution time in many values of minimum overlap. The minimum overlap is defined as the minimum length of substring which is considered as the overlap region between two fragments. The evaluation results showed that the number of nodes, the number of edges, and the execution time were increased with the decreasing of the minimum overlap value.
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