Sukmawati Anggraeni Putri, Sukmawati Anggraeni
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Sistem Informasi Monitoring Perjanjian Kerja Sama Berbasis Web Pada PT Dayamitra Telekomunikasi Jakarta Marsuyitno, Marsuyitno; Putri, Sukmawati Anggraeni; Utami, Lilyani Asri; Dwiantoro, Tino
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1497

Abstract

The development of the telecommunications world is developing very rapidly throughout the world and is no exception in Indonesia. The telecommunications business mostly involves companies providing equipment and providing telecommunications infrastructure, in this case, towers. PT Dayamitra Telekomunikasi or also known as Mitratel is a subsidiary of PT Telkom Indonesia. Tbk, which is engaged in providing telecommunications infrastructure in Indonesia. In carrying out its business activities, PT Dayamitra Telekomunikasi has collaborated extensively with external parties in terms of land use for the construction of telecommunications towers. Land use is currently divided into two land categories, namely private land and government land. The current condition in managing cooperative assets is still done manually or not systematically so that it is not effective and a monitoring information system is needed to monitor the use of assets listed in this cooperation document. The monitoring information system that will be created is web-based which will facilitate the user in monitoring, updating the status of the monetize point quota listed in the employment agreement document with the government. The software used in making this monitoring information system uses the PHP and MySQL programming languages.
Implementasi Algoritma Apriori Dalam Menentukan Penjualan Mobil Yang Paling Diminati Pada Honda Permata Serpong Anggraini, Dewi; Putri, Sukmawati Anggraeni; Utami, Lilyani Asri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.1496

Abstract

The development of information technology is growing rapidly so that it enters various fields, the need for fast, accurate and accurate information is needed. But the fact is that high information needs are not balanced by the presentation of adequate information. Business development and competition are increasingly complex because consumers are very perspective making business people have to be smart in reading situations. So that business people can make a prediction of consumer interest to be used as a prediction of the company in making a decision, and change a strategy that is most appropriate for consumers. Decision makers try to utilize the available data warehouse, this encourages the emergence of new branches of science to overcome the extraction of information in very large amounts of data. To find out which Honda cars are most in demand by consumers, Data Mining techniques are required using the Apriori Algorithm method, and supported by the Tanagra Application by examining sales data for 1 year. Data Mining is an amalgamation of data analysis techniques, while Apriori Algorithm is the most frequently used method because it is very simple, easy and most widely proposed by some researchers, because there are two parameters namely Support Value and Confidence Value. Then the prediction results of the study found that Honda's car sales that most demanded by consumers were Brio Satya, HRV, Mobillio, Jazz, and CRV
Penerapan Finite State Automata Pada Vending Machine Susu Kambing Etawa Handayani, Kartika; Ismunandar, Dinar; Putri, Sukmawati Anggraeni; Gata, Windu
MATICS Vol 12, No 2 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i2.9270

Abstract

Susu kambing peranakan etawa merupakan susu bergizi tinggi yang memiliki banyak manfaat untuk tubuh manusia. Persebaran produk susu kambing etawa saat ini hanya sebatas penjualan di kendai atau market place sehingga manfaatnya belum merata dirasakan oleh masyarakat.Oleh karena itu, dirancang Vending Machine (VM) untuk penjualan susu kambing etawa untuk persebaran produk susu kambing etawa varian rasa menggunakan Finite State Automata (FSA)  jenis Non-Deterministic Finite Automata (NFA). FSA digunakan untuk menggambarkan alur logika VM susu kambing etawa ini. FSA merupakan mesin abstrak berupa sistem model matematika dengan masukan dan keluaran diskrit terdiri dari string dan label dengan output terdiri dari 0s dan 1s yang dapat mengenali bahasa paling sederhana (bahasa reguler) yang menangkap  pola dalam data dan dapat diimplementasikan secara nyata sehingga dapat dipahami oleh logika manusia. Dalam VM susu kambing etawa menggunakan FSA dilengkapi dengan dua metode pembayaran yaitu menggunakan uang tunai dan menggunakan e-money. Perancangan VM susu kambing etawa menggunakan FSA diharapkan dapat dikembangkan sehingga manfaat dari produk susu kambing etawa dapat dinikmati oleh masyarakat luas, khususnya masyarakat perkotaan.