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Implementasi Data Mining Untuk Menentukan Pola Penyebab Kecelakaan Lalu Lintas Di Wilayah Kota Palembang Menggunakan Algoritma FP-Growth Fathan Pangestu; Andri Andri
Journal of Software Engineering Ampera Vol. 1 No. 2 (2020): Journal of Software Engineering Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalsea.v1i2.48

Abstract

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
Penerapan Algoritma Pencarian Binary Search dan QuickSort pada Aplikasi Kamus Bahasa Palembang Berbasis Web Andri Andri
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 1 (2019): JPIT, Januari 2019
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i1.1104

Abstract

Dictionaries can be used as a means to find meaning and meaning in a word. Palembang language is one of the regional languages in the province of South Sumatra. In their daily lives besides using Indonesian, the Palembang people also use the Palembang language as a means of communication with each other. This study aims to create a web-based Palembang language dictionary application so that it can be accessed using internet media. This dictionary application was created to help people who are not native to the city who live in the city of Palembang. This dictionary application provides a simple user interface that makes it easy for users to use it. In the development of this dictionary application is made using the RAD method. The search algorithm used in word search in a database is using the binary search method. The binary search method has the advantage of linear search. In practice binary search searches by first dividing into two data in a database that has been sorted first. This application can do an effective word search and the information displayed in this application in addition to the meaning and meaning of the word also provides an example of how to use the searched word in Palembang sentences.
Sistem Informasi Webstore Online Pada Toko DK Corner Menggunakan Metode Web Design Responsive Bootstrap Ria Anggraini; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 2 No. 3 (2021): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v2i3.532

Abstract

Toko DK Corner is a trading company that specializes in selling women's daily fashion needs. Currently, the DK Corner Store records more than thousands of sales transactions every year, thus requiring the company to be able to provide ordering services for consumers to support better sales and service transactions and of course increase sales profits. The system development method used in system development is Web Engineering. To implement this sales and ordering information system, supporting components are needed in order to work properly. These components include using the PHP programming language (Personal Homepage), Bootstrap Framework and "for data storage using a MySQL database". "The design of this system is expected to help and overcome existing problems so that it can be useful for interested parties". The purpose of this research is expected with the information system is expected to make it easier for companies to promote the products on offer and make it easier to make online sales transactions so that they can be done anytime and safely, and can increase sales.
IMPELEMENTASI ALGORITMA REGRESI LINIER BERGANDA UNTUK PREDIKSI PENJUALAN Yaya Asohi; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 1 No. 3 (2020): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v1i3.161

Abstract

Minimarket is a place or shop that sells various kinds of basic necessities of the community and generally uses technology or a machine to make payment transactions. The problem that is often faced in minimarkets is the uncertainty of the number of sales, it is also faced by Minimarket Sr. This study aims to predict the number of sales of goods using multiple linear regression algorithms as a method to be applied to predict. The results obtained from this study resulted in the predicted number of sales of goods for 2020 amounting to 169715 items. Minimarket merupakan sebuah tempat atau toko yang menjual berbagai macam barang kebutuhan pokok masyarakat dan umumnya menggunakan teknologi atau sebuah mesin untuk melakukan transaksi pembayarannya. Permasalahan yang sering dihadapi pada minimarket yakni tidak menentunya jumlah penjualan, hal itu juga yang dihadapi oleh Minimarket Sr. Penelitian ini bertujuan untuk memprediksi jumlah penjualan barang menggunakan algoritma regresi linier berganda sebagai metode yang akan diterapkan untuk memprediksi. Hasil yang didapatkan dari penelitian ini menghasilkan jumlah prediksi penjulan barang untuk tahun 2020 sebesar 169715 barang.
Desain Dan Implementasi Data Warehouse Pada Perpustakaan Daerah Provinsi Sumatera Selatan Nia Adila; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 2 No. 1 (2021): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v2i1.520

Abstract

This research will focus on processing visitor data, member data, book borrowing data and book return data at the Regional Library of South Sumatra Province. The data is stored in the form of an excel file with a large amount of data, causing problems in the storage system such as data accumulation, data loss, no data analysis and delays in the reporting process. The process of data storage and data retrieval will be well integrated by building a data Warehouse at the Regional Library of South Sumatra Province. Data Warehouse is a system that contains several years of history and facilitates decision making. At the data Warehouse design stage using the Nine-Step method (Kimball, 2002), in this method there are nine steps in designing a data Warehouse, namely Process Selection, Grain Selection, Identification of dimensional adjustments, Fact Selection, Storage of initial calculations in the fact table, Reviewing the dimension table, selecting the database duration, tracking dimension changes, and prioritizing, querying the model and selecting the physical design. And the design and data processing process will use the Pentaho kettle and public Tableau applications, with the design and implementation of the data Warehouse, it is expected to help facilitate the reporting and analysis process for the Regional Library of South Sumatra Province.
Pemanfaatan Data Mining Dalam Memprediksi Produksi Pada PT Pupuk Sriwidjaja Palembang Menggunakan Algoritma Regresi Liniear Berganda Adji Dwi Alfarizi; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 2 No. 1 (2021): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v2i1.522

Abstract

PT.Pupuk Sriwidjaja Palembang is a company that has the main task in the production and marketing of urea fertilizer and npk fertilizer. Production estimates are needed so that companies can determine strategies and breathrought so that the production process runs optimally. This study discusses the application of data mining in predicting the production of NPK Fertilizer Formula 15-15-15 PSO at PT.Pupuk Sriwidjaja Palembang. In its application, this research uses the multiple Linear Regression Algorithm by utilizing production history data for the 2019-2020 period. If you have already mined the production history data for the 2019-2020 period, there will bi predictions in 2021 which are predicted by the rapidminer application and using a multiple linear regression algorithm, which produces a predicted value of fertilizer production in 2021 as much as 70800 tons.
Sistem Rekomendasi Menggunakan Algoritma Apriori Pada Aplikasi E-Commerce Toko Sudirman Sport Ahmad Sukanda; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 2 No. 1 (2021): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v2i1.523

Abstract

The System of selling and marketing products at the Sudirman Sport store which is still done conventionally causes the problem of lack of sales transactions obtained by the store because it only relies on buyers who come directly to the store. Meanwhile, many stores in Indonesia have implemented any system e-commerce in stores. The solution to this problem is to build a website-e-commerce application based for sales and marketing of products sold by the Sudirman Sport store and implement a marketing strategy, namely the System Recommendation Product attract buyers to buy products that have been offered by the Sudirman Sport store and combined with the a priori algorithm to get accuracy in the data processing process to help stores predict buyer interest in an item and then recommend it in order to attract buyers and increase product sales at the Sudirman sport store.
Penerapan Data Mining Untuk Analisis Daftar Pembelian Konsumen Dengan Menggunakan Algoritma Apriori Pada Transaksi Penjualan Toko Bangunan MDN Edo Tachi Naldy; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 2 No. 2 (2021): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v2i2.525

Abstract

Everyday the MDN Building Shop has sales transactions but these transactions are only used as data reporting, MDN Building Stores do not manage sales transaction data and analyze a relationship between building material products purchased by consumers in the future. The purpose of this study is to process sales transaction data from consumer purchases by utilizing the Apriori Algorithm, one of the data mining processing methods. From the Apriori algorithm that will be used, it will find an association rule by finding the minimum value of support and confidence. The final result is that if the minimum support value is 50% and the minimum trust is 90%, then 10 patterns of consumer purchase transactions are obtained with 100% confidence. From the association rules, it was found that the transactions that occurred were the purchase of Knie In Grest, Tee in grest, gelam 10 x 12, thinner bottles, knie grest 3 in, waving aw pipes, speck gloves, 3 mm polywood, and 1 nail in a keris.
Dashboard Business Intelligence Vusialisasi Data Akreditasi Sekolah Pada SMP Negeri 1 Sembawa Amru Setio Wibowo; Andri Andri
Jurnal Nasional Ilmu Komputer Vol. 2 No. 4 (2021): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v2i4.536

Abstract

This study aims to create a business intelligence dashboard to support school accreditation at SMP Negeri 1 Sembawa in the form of data visualization. In this study, several business intelligence dashboards were produced with the aim of providing convenience for schools in supporting the school accreditation process. Business intelligence is a tool to manage data and perform data analysis that can support school accreditation which will be collected into a data mart and the analysis process is carried out in the form of a cube. For the ETL process using the help of SQL Server Management Studio and SQL Server Development software and as a design for the dashboard creation using the Power BI software. This research has several dashboards including student achievement dashboard based on achievement level, student achievement dashboard based on year of achievement, and student achievement based on graduation which can be seen by year and gender of students.
Penerapan Decision Tree Data Mining Pada Produksi Kelapa Sawit PT Hindoli Di Sungai Lilin Kabupaten Musi Banyuasin Atika Kurnia; Ahmad Haidar Mirza; Andri Andri
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 1 No. 2 (2020): Jurnal Pengembangan Sistem Informasi & Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v1i2.168

Abstract

Data mining is an interesting pattern extraction of large amounts of data. PT Hindoli itself has a decision support information system that applies the c4.5 data mining algorithm. Given the large amount of data available, data mining estimates that palm oil production for a month is from production data. As one of the companies engaged in processing palm oil and producing palm oil, palm oil, and high-quality seed oil, which are grown by farmers into materials that can be sold and will be distributed to production data. The method used is the decision tree method to explore data, find hidden relationships between a number of prospective variables, among others, the number of producing oil palm based on the year, production, competition, and price, resulting in data accumulation or data grouping every month. Input with the target variable is expected to help PT Hindoli in monitoring palm oil processing.