scholarly journals PREDIKSI POLA PENJUALAN TIKET KAPAL PT. PELNI CABANG MAKASSAR MENGGUNAKAN METODE ALGORITMA APRIORI

2020 ◽  
Vol 5 (2) ◽  
pp. 183-190
Author(s):  
Arif Firmansyah ◽  
Nita Merlina
Keyword(s):  
Minimum Support

Ketersediaan tiket untuk penumpang merupakan salah satu faktor yang sangat penting dalam bidang usaha transportasi jasa angkutan kapal penumpang. Dalam menjalani proses bisnisnya, masalah yang terjadi di Cabang-Cabang PT Pelayaran Nasional Indonesia adalah menipisnya stok blanko tiket terutama pada masa peak season, sedangkan ketika Cabang membutuhkan blanko tiket tersebut, distribusi blanko tiket mengalami hambatan di bagian ekspedisi yang merupakan faktor eksternal yang tidak bisa dikontrol secara langsung. Dalam penelitian ini akan menggunakan metode apriori. Untuk melakukan proses asosiasi awalnya data mentah di preprocessing untuk memperoleh jumlah tiket yang terjual dari tiap-tiap kapal yang ada di cabang Makassar. Kemudian hasil tersebut dibagi berdasarkan periode perbulannya. Selanjutnya dilakukan dengan algoritma apriori dan terbagi menjadi 2 bagian yaitu gabungan 2 itemset dan 3-itemset yang memenuhi minimum support dan minimum confidence. Algoritma Apriori menghasilkan aturan asosiasi antar item pada bulan Januari 2018 sampai dengan Desember 2018 diketahui pola penjualan tiket kapal bahwa jika membeli tiket KM Lambelu maka akan membeli tiket KM Bukit Siguntang secara bersamaan dengan nilai support 75% dan nilai confidence 90%.  

Effectiveness of Auctions in Securing Price Support for Farmers: The Case of a Grain Market in India

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Neha Gupta
Keyword(s):  
Lower Cost ◽  
Secondary Data ◽  
Price Support ◽  
Minimum Support ◽  
Minimum Price ◽  
Support Price ◽  
The Government ◽  
Nonparametric Estimates ◽  
The Impact ◽  
Analyze Data

Abstract This paper reviews rice procurement operations of Government of India from the standpoints of cost of procurement as well as effectiveness in supporting farmers’ incomes. The two channels in use for procuring rice till 2015, were custom milling of rice and levy. In the first, the government bought paddy directly from farmers at the minimum support price (MSP) and got it milled from private millers; while in the second, it purchased rice from private millers at a pre-announced levy price thus providing indirect price support to farmers. Secondary data reveal that levy, despite implying lower cost of procurement was discriminated against till about a decade back and eventually abolished in 2015 in favor of custom milling, better trusted to provide minimum price support. We analyze data from auctions of paddy from a year when levy was still important to investigate its impact on farmers’ revenues. We use semi-nonparametric estimates of millers’ values to simulate farmers’ expected revenues and find these to be rather close to the MSP; a closer analysis shows that bidder competition is critical to this result. Finally, we use our estimates to quantify the impact of change in levy price on farmers’ revenues and use this to discuss ways to revive the levy channel.

scholarly journals Implementasi Data Mining Untuk Menentukan Pola Penyebab Kecelakaan Lalu Lintas Di Wilayah Kota Palembang Menggunakan Algoritma FP-Growth

2020 ◽  
Vol 1 (2) ◽  
pp. 97-109
Author(s):  
Fathan Pangestu ◽  
Andri Andri
Keyword(s):  
Data Mining ◽  
Traffic Accidents ◽  
Weather Conditions ◽  
Minimum Support ◽  
City Area ◽  
Road Geometry ◽  
Sunny Weather ◽  
Motorized Vehicles ◽  
The City ◽  
Confidence Value

Palembang City is one of the big cities in Indonesia. Along with the increasing population and the increasing number of motorized vehicles, it will certainly have an impact on the increasing number of traffic accidents in the city of Palembang. In this study, the writer will determine the pattern of traffic accidents by using the fp-growth algorithm and using various variables. The variables that will be used consist of weather, time of incident, road geometry, profession, level of injury. This research is expected to be a reference for the police to be able to take anticipatory measures in order to reduce the number of traffic accidents in the Palembang City area. The fp-growth algorithm can be applied properly to determine the pattern of the causes of traffic accidents in the city of Palembang by using 2 minimum support of 40% and 50% and 2 minimum confidence of 70% and 90%. Based on the resulting rules, there are rules with the highest confidence value of 98% with these rules: When an accident occurs with a Side-Side accident type, the accident occurs in sunny weather conditions

scholarly journals A regularized magnetotelluric inversion with a minimum support gradient constraint

2020 ◽  
Vol 33 (3) ◽  
pp. 130-140
Author(s):  
Junjun Zhou ◽  
◽  
Xiangyun Hu ◽  
Tiaojie Xiao ◽  
Keyword(s):  
Minimum Support ◽  
Gradient Constraint ◽  
Magnetotelluric Inversion

$$\mathcal{D}$$ -optimal Minimum Support Mixture Designs in Blocks

Metrika ◽  
2006 ◽  
Vol 65 (1) ◽  
pp. 53-68 ◽  
Author(s):  
Peter Goos ◽  
Alexander N. Donev
Keyword(s):  
Minimum Support ◽  
Mixture Designs
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