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All Journal Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Jurnal Khatulistiwa Informatika Paradigma EVOLUSI : Jurnal Sains dan Manajemen Jurnal Teknologi Informasi dan Terapan (J-TIT) Indonesian Journal of Business Intelligence (IJUBI) Wasana Nyata JUSTIAN - Jurnal Sistem Informasi Akuntansi Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Informatics and Computer Engineering Journal Jurnal Pengabdian Masyarakat Bangsa WASANA NYATA Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat
Candra Agustina
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : Jurnal Teknologi Informasi dan Terapan (J-TIT)

 1 
ANALISA NASABAH POTENSIAL TABUNGAN DEPOSITO BERJANGKA MENGGUNAKAN TEKNIK KLASIFIKASI DATA MINING Candra Agustina
Jurnal Teknologi Informasi dan Terapan Vol 5 No 2 (2018)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v5i2.88

Abstract

Time deposits are a product of a financial institution, which is currently increasing. The main target of this time deposit marketing is the old customers of the Bank. To increase the effectiveness of marketing customers are grouped into potential and non-potential customers. This means that potential customers have a greater chance to open a time deposit account. Customer data is taken from the UCI repository, originating from Banks in Portugal. Data is processed with rapidminer software using the Decision Tree method with Particle Swarm Optimization, Naïve Bayes with Particle Swarm Optimization and finally processed using Neural Network with Particle Swarm Optimization. Data processing results were compared and showed that the Naïve Bayes Algorithm with Particle Swarm Optimization had the highest accuracy of 97.04%. Therefore an application designed based on Naive Bayes with Particle Swarm Optimization. From the original attribute consisting of 20, only 9 attributes can be used so that the level of accuracy is high. Attributes used have values ​​more than 0.500, while those that have these values ​​are omitted. The design was created using the Unified Modeling Language (UML) and Visual Basic 6.0 to create an User Interface.
Perancangan Aplikasi Transaksi Jual Beli Perhiasan Emas berbasis Android Candra Agustina
Jurnal Teknologi Informasi dan Terapan Vol 6 No 2 (2019)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v6i2.110

Abstract

Gold Shop is a business of buying and selling gold, both in the form of jewelry and in the form of bars. Transactions carried outsell and buy gold jewelry, with different buying and selling prices. In a gold shop, to sell jewelry a clerk needs to write down the weight, and draw the model in a sales letter or memorandum. The problem that occurs is the ability to draw from employees who are not the same, some can draw jewelry similar to the original, some are unclear. Jewelry letters are also sometimes lost in the hands of customers so when selling must first ascertain whether the jewelry originates from this store. Therefore, it is necessary to make an information system to facilitate the process of buying and selling gold jewelry. The system is made based on Android because it can utilize the mobile phones of each employee. The system is made using the Rapid Application Development method, to get the final result of an android-based application. This method consists of 3 stages, namely the needs plan, the system design process, and implementation. This gold jewelry sale and purchase application consists of 2 users namely shop owners and employees. The function of the owner application is to see the number of items sold jewelry purchased, daily, weekly and monthly financial statements. The application has the advantage of updating the price of gold, both selling and buying in realtime. Using this application can speed up transactions, create reports, and reduce errors in recording transactions.
Implementasi Teknik Bagging untuk Peningkatan Kinerja J48 dan Logistic Regression dalam Prediksi Minat Pembelian Online Eka Rahmawati; Candra Agustina
Jurnal Teknologi Informasi dan Terapan Vol 7 No 1 (2020)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v7i1.123

Abstract

Abstract—The rapid growth of online shopping sites makes business in the virtual world very promising. Purchasing intentions is one of the keys to success in an online store. There are several data mining methods for making predictions on online purchase intentions datasets. Data can represent the characteristics or habits of each user who has visited a site whether it ends with a transaction or not. Some popular algorithms with good performance in data mining include J48 and Logistic Regression. However, in data sometimes there is a problem of class imbalance, so the ensemble technique needs to be applied. One technique that can be applied is bagging. This research examines data using bagging techniques to improve the performance of the J48 algorithm and Logistic Regression. The results of improving the performance of data mining algorithms with these techniques have an accuracy value of 89.68% for the J48 algorithm and 88.50% for the Logistic Regression algorithm. This figure shows an increase when compared with initial testing without using ensemble techniques. Increases were also experienced in Recall, F-Measure, and AUC values. Keywords—purchasing intentions; J48; Logistic Regression; Bagging; Abstrak— Pesatnya situs pembelanjaan online menjadikan bisnis di dunia virtual sangat menjanjikan. Minat pembelian menjadi salah satu kunci kesuksesan pada sebuah toko online. Terdapat beberapa metode data mining untuk melakukan prediksi pada dataset minat pembelian online. Data dapat mewakili karakteristik atau kebiasaan dari setiap user yang telah mengunjungi suatu situs baik berakhir dengan melakukan transaksi ataupun tidak. Beberapa algoritma yang populer dengan kinerja yang baik dalam data mining diantaranya J48 dan Logistic Regreession. Namun, dalam sebuah data terkadang terdapat masalah ketidakseimbangan kelas, sehingga perlu diterapkan teknik ensemble. Salah satu teknik yang dapat diterapkan adalah teknik bagging. Penelitian kali ini mengujikan data dengan teknik bagging untuk meningkatkan kinerja algoritma J48 dan Logistic Regression. Hasil dari peningkatan kinerja algoritma data mining dengan teknik tersebut memiliki nilai akurasi 89.68% untuk algoritma J48 dan 88.50% untuk algoritma Logistic Regression. Angka tersebut menunjukan adanya peningkatan jika dibandingkan dengan pengujian awal tanpa menggunakan teknik ensemble. Peningkatan juga dialami pada nilai Recall, F-Measure, dan AUC. Keywords—Minat Pembelian, J48, Logistic Regression, Bagging
Rancang Bangun Aplikasi Elektronik Transportasi Bandara Yogyakarta International Airport Berbasis Mobile Menggunakan Android Studio Candra Agustina; Sardiarinto .
Jurnal Teknologi Informasi dan Terapan Vol 7 No 2 (2020)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v7i2.136

Abstract

Abstract— Yogyakarta International Airport is a new airport in Yogyakarta, located in Temon, Kulonprogo Regency. Yogyakarta International Airport began operations on May 6, 2019. It was marked by the first landing of Citilink from Halim Perdanakusuma Jakarta. To support airport operations, the Transportation Department also prepares supporting transportation modes, such as airport trains, Damri Buses and, Shuttle Bus to get to the Airport. This mode of transportation connects cities around the airport, such as Purworejo, Magelang, Yogyakarta City, and even Surakarta City. However, because the airport is still relatively new, the information obtained by the public is still minimal. Therefore an informative application is needed for prospective passengers to go to or leave the airport. The application is made based on mobile, by utilizing GPS technology to monitor the position of the vehicle in real-time. This application will make it easier for visitors to travel to areas around YIA Airport.
Implementasi Algoritma Greedy dan Djikstra untuk Efektifitas Rute Pariwisata Populer di Borobudur Eka Rahmawati; Candra Agustina
Jurnal Teknologi Informasi dan Terapan Vol 8 No 2 (2021)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v8i2.216

Abstract

New tourist attractions in the Borobudur region always bring domestic and foreign tourists to visit. Besides visit the Borobudur Temple, now, the tourists can visit the other popular tourist attractions near the main destination. For example, in 2019, a new tourist attraction was created, it called Mata Langit. Many tourists will include all the interest object on the visit list. The more destinations that will be visited will increase the allocation of time to travel. Tourists must be careful in determining the route. The effective route is very important to manage the time. In the field of computer technology, several algorithms can help to determine the shortest route. Among them are the Greedy algorithm and Djikstra's algorithm. Both algorithms have different principles in processing data. Therefore to get the best results, it is necessary to compare the 2 algorithms. The first time, determined the 5 most popular attractions in Borobudur based on the number of visitors in the last three months. Then the data is processed using Greedy and Djikstra's algorithm. The winner is determined based on the shortest time owned by each route produced. The results obtained show that the Greedy algorithm is more effective in calculating the shortest route to visit popular tours in Borobudur
Co-Authors - Amik BSI Yogyakarta, Gunawan Budi S Akhmad Syukron Akrom, Akrom Angga Ardiansyah Budi Al Amin Budi Al Amin eka rahmawati F Febiyanti Galih Setiawan Nurohim Gunawan Budi Sulistyo Haryanto, Wawan Hendri Hermawan Adinugraha Heribertus Ary Setyadi Irawan, Denny Maryani, Ina Nani Purwati Pribadi, Denny Rahmawati-Universitas Bina Sarana Informatika, Eka Rousyati, Rousyati Sardiarinto Sardiarinto Sri Mulyani Tri Wahyudi - AMIK BSI Yogyakarta Tri Wahyudi - AMIK BSI Yogyakarta Tristanti, Vriska wahyu Wahyu Setyo Prabowo Wawan Haryanto