Getting along with some e-commerces in Indonesia, I find out it's important to maintain the traffics, but the more important thing than that is to keep the Conversion Rate (CR or CVR). Based on statistics analytics, both variables correlates each others but it doesn't mean e-commerces with higher traffics have more CAPABILITY in gaining their OPTIMUM conversions.
From this, the company should really drive their campaign management strategy and monitor the customers behavior movement from month to month (MoM). On the other hand, the company also ought to focus on innovating their products. These two things, of course, come along with the quality of website or mobile apps they have.
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Home » Posts filed under Statistika
Showing posts with label Statistika. Show all posts
Showing posts with label Statistika. Show all posts
Monday, July 10, 2017
MY THOUGHT ABOUT TRAFFICS AND CVR IN E-COMMERCE
Friday, July 10, 2015
Beberapa Karya Tulis Ilmiah Mahesa Jundulloh
Berikut adalah beberapa karya tulisan ilmiah hasil penelitian saya (atau bersama tim), Mahesa Jundulloh (Hendra P):
Small Area Estimation (SAE) untuk Pemetaan Kemiskinan (Poverty Mapping) yang Efektif Pada Level Kabupaten/Kota di Era Desentralisasi
Pengaruh
Intensitas Cahaya dan Kandungan Mineral Pada Berbagai Media Tumbuh
Terhadap Laju Fotosintesis Tanaman Hias Hidrofit Elodea (Elodea
canadensis)
Pengaruh Pupuk P (Fosfor) Terhadap Pertumbuhan Dan Produksi Kedelai (Glycine max (L.) Merr.) Mar’ah; Khotimah, Khusnul; Prasetya, Hendra (IPB (Bogor Agricultural University), 2011)
Prospek Pengembangan Serat Alam Berbasis Nanotechnology dan Electrospinning (Natural Nanofiber) dari Tanaman Rami (Boehmeria nivea [L.] Gaud) Sebagai Upaya Intensifikasi Perindustrian Nasional Adistya, Rizki; Yasin, Ahmad; Prasetya, Hendra (Bogor Agricultural University, Institut Pertanian Bogor, 2011)
Prasetya, Hendra
(IPB (Bogor Agricultural University), 2011)
Small Area Estimation (SAE) untuk Pemetaan Kemiskinan (Poverty Mapping) yang Efektif Pada Level Kabupaten/Kota di Era Desentralisasi
Prasetya, Hendra (2010)
Lesvian, Angga; Mulyanto, Anton; Prasetya, Hendra
(2009)
Prasetya, Hendra; Lesvian, Angga
(Bogor Agricultural University, Institut Pertanian Bogor, 2010)
Yasin, Ahmad; Adistya, Rizki; Prasetya, Hendra
(IPB (Bogor Agricultural University), 2011)
Tepung Bonggol Pisang sebagai Upaya Mengurangi Ketergantungan Bahan Baku Tepung dari Luar Negeri
Bilqisti, Qoiman; Prasetya, Hendra; Susanti
(Bogor Agricultural University, Institut Pertanian Bogor, 2010)
Pengaruh Pupuk P (Fosfor) Terhadap Pertumbuhan Dan Produksi Kedelai (Glycine max (L.) Merr.) Mar’ah; Khotimah, Khusnul; Prasetya, Hendra (IPB (Bogor Agricultural University), 2011)
Prasetya, Hendra; Mudapar, Malik; Furry, Citra Ayu; Yuliana, Indah
(Bogor Agricultural University, Institut Pertanian Bogor, 2010)
Yolanda Sylvia P.; Prasetya, Hendra; Ahmadun
(IPB (Bogor Agricultural University), 2011)
Budiman, Vivandra Prima; Prasetya, Hendra; Ariawiyana, Febby
(IPB (Bogor Agricultural University), 2009)
Prospek Pengembangan Serat Alam Berbasis Nanotechnology dan Electrospinning (Natural Nanofiber) dari Tanaman Rami (Boehmeria nivea [L.] Gaud) Sebagai Upaya Intensifikasi Perindustrian Nasional Adistya, Rizki; Yasin, Ahmad; Prasetya, Hendra (Bogor Agricultural University, Institut Pertanian Bogor, 2011)
Abration, Erotion and Tsunami Handling with Vegetation
Optimization and Biological
Controlling
Miyasyiwi, Seztifa; Prasetya, Hendra (ADIC Malaysia - 2011)
Bioethanol from
Lignocellulose by
Pretreatment Method and
Using Clostridium Thermocellum
Prabekti, Yolanda
Sylvia; Prasetya, Hendra (2011)
Thursday, May 28, 2015
Performance Comparison Between Kimura 2-Parameters and Jukes-Cantor Model in Constructing Phylogenetic Tree of Neighbour Joining (NJ)
Prasetya, Hendra
Date:
2011
Abstract:
Bioinformatics as a
recent improvement of knowledge has made an interest for scientist to
collect and analyze data to provide the best estimate of the true
phylogeny. The objective of this research is to construct and compare
the phylogenetic tree of Neighbour Joining (NJ) based on different
models (Kimura 2-Parameters and Jukes-Cantor) and to find out which
model is more reliable on constructing NJ’s tree. In order to build the
tree, reliable set of data is conducted from D-loop mtDNA sequences that
is available in Gen Bank. The nucleotide sequences come from Bison
bison (American bison), Bos taurus (European cow such as Shorthorn), Bos
indicus (zebu breeds), Bos grunniens mutus (one of subspecies of cow),
and Capra hircus (species of goat). The reliability of each models was
measured using the Felsentein’s bootstrap method. The whole bootstrap
process for each models was repeated 1.000, 5.000, and 10.000 times to
detect its reliability. The performance was measured on the basis of the
consistency of the topology relationship, the stability of nodes, the
consistency of bootstrap confidence level (PB), standard error of
distance, change of PB from (1.000-5.000) to (5.000-1.000),
computational time, and BIC score. NJ’s phylogenetic tree with kimura
2-parameters and jukes cantor model have a good node stability and is
also generally successful in representing topological relationships
between taxa. The increasing of bootstrap replication number in common
will increase the consistency of bootstrap confidence value ( . It means
both models have a good reliability. But, when the number of sequences
is large and the extent of sequence divergence is low, it is generally
difficult to construct the tree by any models. In conclusion, Kimura
2-Parameters has a better performance than Jukes-Cantor.
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