scholarly journals Drooms Store Strategy To Win Business Competition On E-Commerce Lazada

2021 ◽  
Vol 19 (1) ◽  
pp. 13
Author(s):  
Asep Sugara ◽  
MD Sukamto ◽  
Rida Ramdani
Keyword(s):  
Selection Strategy ◽  
Target Market ◽  
Promotion Strategy ◽  
Product Selection ◽  
Advertising Strategy ◽  
Selection Strategies ◽  
Research Activities ◽  
Business Analysis ◽  
Analysis Strategy ◽  
Product Sales

This study aims to determine the Droom Store strategy in winning business competition in Lazada E-Commerce and increasing customer satisfaction. The analytical approach used is to use a qualitative approach. Where the owner of Drooms Store used as key informants with data collection using triangulation techniques. The results of research at Drooms Store using the techniques above, strategies that can win business competition in Lazada E-Commerce are product selection strategies which are the basis of product sales in which there are product research activities, namely where the seller determines the scale of the benefits of a product. product, then the price of the product, and also the target market. Product advertising strategy which is the second stage after the product selection strategy where this product advertising strategy can reach consumers and attract consumers to buy products. Then there is a product promotion strategy that aims to boost sellers to increase. A business analysis strategy that aims to control the business at Drooms Store . In other words, Lazada's E-commerce for the strategy that we will use has been very well supported by Lazada

scholarly journals On a Class of Optimal Stopping Problems with Mixed Constraints

2010 ◽  
Vol Vol. 12 no. 2 ◽  
Author(s):  
F. Thomas Bruss
Keyword(s):  
Selection Strategy ◽  
Optimal Selection ◽  
Recursive Structure ◽  
Limiting Behavior ◽  
Mixed Constraints ◽  
Selection Strategies ◽  
International Audience ◽  
Optimal Stopping Problems ◽  
The Cost ◽  
Independent Identically Distributed

International audience Let X(1),X(2),...,X(n) be independent, identically distributed uniform random variables on [0, 1]. We can observe the outcomes sequentially and must select online at least r of them, and, moreover, in expectation at least mu >= r. Here mu need not be integer. We see X(k) as the cost of selecting item k and want to minimize the expected total cost under the described combined (r, mu)-constraint. We will see that an optimal selection strategy exists on the set S(n) of all selection strategies for which the decision at instant k may depend on the value X(k), on the number N(k) of selections up to time k and of the number n - k of forthcoming observations. Let sigma(r,mu)(n) be the corresponding S(n)-optimal selection strategy and v(r,mu)(n) its value. The main goal of this paper is to determine these and to understand the limiting behavior of v(r,mu)(n). After discussion of the specific character of this combination of two types of constraints we conclude that the S(n)-problem has a recursive structure and solve it in terms of a double recursion. Our interest will then focus on the limiting behavior of nv(r,mu)(n) as n -> infinity. This sequence converges and its limit allows for the interpretation of a normalized limiting cost L (r, mu) of the (r, mu)-constraint. Our main result is that L(r, mu) = g(r) ((mu - r)(2)/(2)) where g(r) is the r(th) iterate of the function g(x) = 1 + x + root 1 + 2x. Our motivation to study mixed-constraints problems is indicated by several examples of possible applications. We also shortly discuss the intricacy of the expectational part of the constraint if we try to extend the class of strategies S n to the set of full-history-dependent and/or randomized strategies.

H3B-6527 clinical biomarker assay development and characterization of HCC patient samples.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4121-4121
Author(s):  
Pavan Kumar ◽  
Vicki Rimkunas ◽  
Kun Yu ◽  
Zhaojie Zhang ◽  
Crystal MacKenzie ◽  
...  
Keyword(s):  
Patient Selection ◽  
Copy Number ◽  
Predictive Biomarker ◽  
Selection Strategy ◽  
Assay Sensitivity ◽  
Qrt Pcr ◽  
Selection Strategies ◽  
Signaling Axis ◽  
Clinical Biomarker ◽  
Fgf19 Expression

4121 Background: FGFR4/FGF19 signaling axis is a novel therapeutic target in HCC. Multiple covalent FGFR4 inhibitors, including H3B-6527, are under clinical development. Preclinical efficacy studies in mice (including PDX) have shown that FGF19 expression (FGF19+) is a predictive biomarker for FGFR4 inhibitor response. The mechanisms driving FGF19 expression in HCC is largely unknown however, in some cases, focal amplification of ch11q13.3 containing FGF19 gene is thought to drive the FGF19 expression. Consistent with the preclinical observations, clinical studies have also shown that FGF19+is a predictive biomarker for FGFR4 inhibitor response. However, these trials have also reported a large number of FGF19+patients failing to respond to FGFR4 inhibitors necessitating refinement of patient selection strategies. In an attempt to obtain deeper insights into the role of FGF19+as a predictive biomarker and potentially uncover additional biomarkers that will enable improvement in patient selection strategies, we have characterized a set of 258 HCC patient samples Methods: Samples were acquired from biobanks and utilized to qualify clinical assays including FGF19 copy number (FISH), mRNA expression (qRT-PCR), FGF19 protein (IHC), and a focused NGS panel for assessing both mutations and copy number. A multiplexed protein and mRNA platform enabled assessment of p-ERK and Ki67 (protein) and Cyp7A1 (mRNA) amongst other exploratory PD biomarkers from two FFPE slides. Results: FGF19 positivity rates for IHC and qRT-PCR were 18% (41/225) and 42% (87/209), respectively. The overall correlation was 60%, with 63% (22/235) IHC positive cases also being positive by qRT-PCR. For IHC+/qRT-PCR (-) cases, RNA quality may have impacted assay sensitivity. 4% (9/244) of samples were positive for FGF19 copy number. Among samples with FGF19 copy number gains, 22% (2/9) did not show positive FGF19 expression. Conclusions: Based on our data, FGF19 mRNA is a more inclusive selection strategy and offers an approach to further refine thresholds for efficacy as determined in the clinic. Multiplexed protein-mRNA assays were also validated and implemented to enable a more comprehensive clinical biomarker program.

scholarly journals Providing an Adaptive Routing along with a Hybrid Selection Strategy to Increase Efficiency in NoC-Based Neuromorphic Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Trik ◽  
Saadat Pour Mozaffari ◽  
Amir Massoud Bidgoli
Keyword(s):  
Power Consumption ◽  
Routing Algorithm ◽  
Adaptive Routing ◽  
Selection Strategy ◽  
Communication Structure ◽  
Average Delay ◽  
Selection Strategies ◽  
Neuromorphic Systems ◽  
Hybrid Selection ◽  
Network On A Chip

Effective and efficient routing is one of the most important parts of routing in NoC-based neuromorphic systems. In fact, this communication structure connects different units through the packets routed by routers and switches embedded in the network on a chip. With the help of this capability, not only high scalability and high development can be created, but by decreasing the global wiring to the chip level, power consumption can be reduced. In this paper, an adaptive routing algorithm for NoC-based neuromorphic systems is proposed along with a hybrid selection strategy. Accordingly, a traffic analyzer is first used to determine the type of local or nonlocal traffic depending on the number of hops. Then, considering the type of traffic, the RCA and NoP selection strategies are used for the nonlocal and local strategies, respectively. Finally, using the experiments that performed in the simulator environment, it has been shown that this solution can well reduce the average delay time and power consumption.

scholarly journals Promotion through Marketing Channels – The Case of Kosovo

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
MSc. Hidajet Karaxha ◽  
MSc. Sejd Tolaj ◽  
Dr.Sc. Ilia Kristo
Keyword(s):  
Distribution Channel ◽  
Distribution Channels ◽  
Practical Aspect ◽  
Target Market ◽  
Promotion Strategy ◽  
Theoretical Contribution ◽  
Knowing That ◽  
General Program ◽  
The Many ◽  
Study Context

 In order for a product to be put in the hands of the customer, requires a mechanism which is called distribution channel and which enables the connection between the consumer and producer. One of the many strategies applied by Kosovar companies for the involvement of the members of the channel is also the promotion through distribution channels. Therefore, the strategies which involve the members of the channel have a higher probability to be positively accepted by the members of the channel, when they are part of a general program of supporting the needs of the producers. The process of realizing a marketing strategy of a company does not concise only of achieving specific goals of production during the realization of the promotion phase, but it also requires identifying the target market and achieving it. The purpose of this paper is to review the promotion strategy of distribution channels, which emphasize the support by the members of the channel, initiated by the producers through cooperative advertisements, promotional salaries, slotting taxes, incentives, promotions in markets and also special promotional agreements. The theoretical and practical side of the study are very important, especially regarding to new theoretical and practical views in the study context. Besides the theoretical contribution that will be offered by this paper, there will also be interesting findings in the practical aspect where through this paper, the owners, managers, firms will be able to understand the role and importance of promotion through distribution channels. Knowing that there are only few studies offered in this field, this paper offers help for everyone interested in this field. This paper contains empirical data collected by questionnaires and interviews.

The Effect of Credit Definition and Aggregation Strategies on Multi-Objective Hyper-Heuristics

2015 ◽  
Author(s):  
Nozomi Hitomi ◽  
Daniel Selva
Keyword(s):  
Optimization Problems ◽  
Entire Population ◽  
Optimization Process ◽  
Selection Strategy ◽  
Credit Assignment ◽  
Multi Objective ◽  
Domain Specific ◽  
Combinatorial Optimization Problems ◽  
Pareto Ranking ◽  
Selection Strategies

Heuristics and meta-heuristics are often used to solve complex real-world problems such as the non-linear, non-convex, and multi-objective combinatorial optimization problems that regularly appear in system design and architecture. Unfortunately, the performance of a specific heuristic is largely dependent on the specific problem at hand. Moreover, a heuristic’s performance can vary throughout the optimization process. Hyper-heuristics is one approach that can maintain relatively good performance over the course of an optimization process and across a variety of problems without parameter retuning or major modifications. Given a set of domain-specific and domain-independent heuristics, a hyper-heuristic adapts its search strategy over time by selecting the most promising heuristics to use at a given point. A hyper-heuristic must have: 1) a credit assignment strategy to rank the heuristics by their likelihood of producing improving solutions; and 2) a heuristic selection strategy based on the credits assigned to each heuristic. The literature contains many examples of hyper-heuristics with effective credit assignment and heuristic selection strategies for single-objective optimization problems. In multi-objective optimization problems, however, defining credit is less straightforward because there are often competing objectives. Therefore, there is a need to define and assign credit so that heuristics are rewarded for finding solutions with good trades between the objectives. This paper studies, for the first time, different combinations of credit definition, credit aggregation, and heuristic selection strategies. Credit definitions are based on different applications of the notion of Pareto dominance, namely: A1) dominance of the offspring with respect to the parent solutions; A2) ability to produce non-dominated solutions with respect to the entire population; A3) Pareto ranking with respect to the entire population. Two different credit aggregation strategies for assigning credit are also examined. A heuristic will receive credit for: B1) only the solutions it created in the current iteration or B2) all solutions it created that are in the current population. Different heuristic selection strategies are considered including: C1) probability matching; C2) dynamic multi-armed bandit; and C3) Hyper-GA. Thus, we conduct an experiment with three factors: credit definition (A1, A2, A3), credit aggregation (B1, B2), and heuristic selection (C1, C2, C3) and conduct a full factorial experiment. Performance is measured by hyper-volume of the last population. All algorithms are tested on a design problem for a climate monitoring satellite constellation instead of classical benchmarking problems to apply domain-specific heuristics within the hyper-heuristic.

scholarly journals On Fast Converging Data-Selective Adaptive Filtering

Algorithms ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 4 ◽  
Author(s):  
Marcele O. K. Mendonça ◽  
Jonathas O. Ferreira ◽  
Christos G. Tsinos ◽  
Paulo S R Diniz ◽  
Tadeu N. Ferreira
Keyword(s):  
Adaptive Filtering ◽  
Learning Algorithm ◽  
Real Data ◽  
Data Selection ◽  
Estimation Accuracy ◽  
Selection Strategy ◽  
Selection Strategies ◽  
The World ◽  
Characteristic Features ◽  
Complexity Cost

The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation, data-selection strategies can be employed to reduce the computational complexity cost and, in many cases, improve the estimation accuracy. In this paper, we explore some adaptive filtering algorithms whose characteristic features are their fast convergence and data selection. These algorithms incorporate a prescribed data-selection strategy and are compared in distinct applications environments. The simulation results include both synthetic and real data.

scholarly journals Variation Rate to Maintain Diversity in Decision Space within Multi-Objective Evolutionary Algorithms

2019 ◽  
Vol 24 (3) ◽  
pp. 82 ◽  
Author(s):  
Oliver Cuate ◽  
Oliver Schütze
Keyword(s):  
Significant Loss ◽  
Selection Strategy ◽  
Benchmark Problems ◽  
Decision Space ◽  
Multi Objective ◽  
Approximation Quality ◽  
Selection Strategies ◽  
Objective Space ◽  
Variation Rate ◽  
Variable Space

The performance of a multi-objective evolutionary algorithm (MOEA) is in most cases measured in terms of the populations’ approximation quality in objective space. As a consequence, most MOEAs focus on such approximations while neglecting the distribution of the individuals of their populations in decision space. This, however, represents a potential shortcoming in certain applications as in many cases one can obtain the same or very similar qualities (measured in objective space) in several ways (measured in decision space). Hence, a high diversity in decision space may represent valuable information for the decision maker for the realization of a given project. In this paper, we propose the Variation Rate, a heuristic selection strategy that aims to maintain diversity both in decision and objective space. The core of this strategy is the proper combination of the averaged distance applied in variable space together with the diversity mechanism in objective space that is used within a chosen MOEA. To show the applicability of the method, we propose the resulting selection strategies for some of the most representative state-of-the-art MOEAs and show numerical results on several benchmark problems. The results demonstrate that the consideration of the Variation Rate can greatly enhance the diversity in decision space for all considered algorithms and problems without a significant loss in the approximation qualities in objective space.

scholarly journals Pengaruh Online Travel Agent terhadap Pemesanan Kamar di Hyatt Regency Yogyakarta

1970 ◽  
Vol 1 (2) ◽  
pp. 44-51
Author(s):  
Citra Tartilla Nurdita Putri ◽  
Eman Sukmana ◽  
I Wayan Lanang Nala ◽  
Rinto Dwiatmojo
Keyword(s):  
Swot Analysis ◽  
Third Party ◽  
Strategy Analysis ◽  
Promotion Strategy ◽  
Travel Agent ◽  
Travel Agents ◽  
Swot Matrix ◽  
Promotional Strategies ◽  
Product Sales ◽  
Online Travel

The development of increasingly sophisticated and rapid technology has made people's lifestyles to change, one of the most striking things is the tendency to do activities in cyberspace, such as purchasing tickets online. Online hotel ticket purchases can be made through the E-Commerce site on the hotel's official website or through third party websites. E-Commerce is known as an Online Travel Agent, with the existence of an Online Travel Agent, prospective guests have a very diverse choice of hotels according to their wants and needs. Prospective guests can directly book hotel rooms and change their bookings easily. The aim of the author is to examine changes in guest behavior, especially guests who previously directly booked a room directly to the hotel, switch to using an Online Travel Agent and find out what promotional strategies hotels should do to increase the number of room bookings through Online Travel Agents. Promotion strategy analysis using SWOT analysis such as SWOT Matrix, IFAS, EFAS, Cartesian Diagram, Internal and External Matrix. The results of the analysis of internal factors and external factors show that the Hyatt Regency Yogyakarta hotel has a strong market competitive position in competition with other five star hotels. This shows that the hotel must continue to make efforts to improve product quality, facilities and services as well as maximize product sales.

scholarly journals BUDIDAYA PEMBESARAN KEPITING BAKAU Scylla tranquebarica (Fabricius, 1798) HASIL PEMBENIHAN PADA LOKASI TAMBAK YANG BERBEDA

2018 ◽  
Vol 13 (1) ◽  
pp. 21
Author(s):  
Muhammad Nur Syafaat ◽  
Gunarto Gunarto
Keyword(s):  
Survival Rate ◽  
Water Exchange ◽  
Survival Rates ◽  
Wild Fish ◽  
Weight Range ◽  
Research Activities ◽  
Trash Fish ◽  
Business Analysis ◽  
Final Weight

Kegiatan pembesaran kepiting bakau hasil pembenihan di tambak masih terbatas dan pada umumnya masih merupakan kegiatan penelitian. Tujuan penelitian ini adalah untuk mengetahui pertumbuhan, sintasan, produksi, dan membuat analisis usaha pembesaran krablet kepiting bakau hasil pembenihan pada beberapa lokasi tambak tradisional. Penelitian dilakukan di tiga lokasi tambak yaitu Maros, Pangkep, dan Polewali Mandar (Polman). Tambak yang digunakan pada setiap lokasi merupakan tambak tradisional berkonstruksi tanah dengan sistem penggantian air berdasarkan pasang surut. Krablet kepiting bakau dengan kisaran bobot 0,05-0,1 g/ekor ditebar dengan kepadatan 0,24 ekor/m2 dan 0,27 ekor/m2 untuk Kabupaten Pangkep dan Polman secara berurutan sedangkan pada Kabupaten Maros dengan kepadatan 0,53 ekor/m2. Jenis pakan yang diberikan yaitu ikan rucah atau ikan liar yang ada di sekitar lokasi tambak dengan dosis 5%-10% dari biomassa dan diberikan dua atau tiga hari sekali. Hasil penelitian menunjukkan bahwa pertumbuhan kepiting bakau di tiga lokasi pada bulan ketiga diperoleh bobot akhir rata-rata dengan kisaran 131,05-199,50 g/ekor (163,17 ± 34,42); sintasan 22%-36,94% (30,41 ± 7,65); dan produksi 79,25-272,12 kg/ha (176,07 ± 96,43). Keuntungan tertinggi diperoleh pada lokasi Maros yaitu Rp5.454.750,00/ha/siklus dan terendah di lokasi Polman yaitu Rp317.150,00/ha/siklus. Nilai R/C rasio untuk semua lokasi menunjukkan lebih besar dari satu yang berarti bahwa usaha pembesaran kepiting bakau di tambak menggunakan krablet asal hatchery merupakan usaha yang layak. Ketersediaan pakan yang cukup, keberadaan shelter, pergantian air secara rutin dan kondisi kualitas air yang optimal merupakan faktor penting yang perlu diperhatikan untuk meningkatkan produksi pada ketiga lokasi di samping meningkatkan kepadatan sampai 1 ekor/m2.The grow-out cultures of hatchery-produced mudcrab seed in pond are rare and mostly part of research activities. The purpose of this study was to determine the performance of growth, survival rate, production, and develop a business analysis of mudcrab (S. tranquebarica) grow-out culture in different pond locations using hatchery-reared seed. The study was conducted in three pond areas in Maros, Pangkep, and Polewali Mandar (Polman). The ponds used in each location were traditional soil ponds with sufficient tidal system for water exchange. Crablets with a weight range of 0.05-0.1 g were reared in the ponds located in Pangkep, Polman and Maros with stocking densities of 0.24, 0.27 and 0.53 ind./m2, respectively. The feed used was trash fish or locally caught wild fish and given 5%-10% of the total crab biomass once every two or three days. The results showed that the average final weight of mudcrab in the three locations during three months rearing period was 131.05-199.50 g/ind. (163.17 ± 34.42) with survival rates of 22%-36.94% (30.41 ± 7.65), and crab production of 79.25-272.12 kg/ha (176.07 ± 96.43). The highest profit was obtained by grow-out culture in Maros location (IDR 5,454,750/ha/cycle) followed by Pangkep location (IDR 4,624,400/ha/cycle) and the lowest at Polman location (IDR 317,150/ha/cycle). The R/C ratio for all locations was greater than one which means that mudcrab culture in pond using seed from hatchery is economically feasibility.

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