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All Journal International Conference on Engineering and Technology Development (ICETD) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Jurnal Alih Teknologi Sistem Informasi (JATSI)
Fenty Ariani
Universitas Bandar Lampung
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Engineering Health Professions Other

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Journal : EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi

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Perhitungan Estimasi Upaya Pengembangan Software Pulsa Online dengan Fuzzy C-Means dan Fuzzy K-Means Tia Tanjung; Fenty Ariani; Wiwin Susanty; Arnes Yuli Vandika
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2471

Abstract

Top-up can be done by prepaid and postpaid. Top-up at this time can also be done by way of online purchases. Credit with a prepaid system is a real-time top-up. Payments are made before the customer uses credit. Prepaid credit is different from postpaid which is not real-time and is done after the customer uses credit. Before credit can be used, it is necessary to create a credit server first. In this case, limited resources become an obstacle in completing the credit server creation which will later be used by credit users. Therefore, it is necessary to estimate the effort in the development of the server application, so that the estimation can be known, both in terms of resources, and processing time to estimates in terms of costs. In this case, the appropriate method should be used to overcome the obstacle and reduce the risk of software development. There are several ways to use the Fuzzy K-Mean and Fuzzy C-Means methods to complete the creation of impulse servers, perform analysis and interpretation, and provide information and actions for the quality of research output, education, and evaluation research. The result of the grouping comparison is to produce a derivative formula for the Fuzzy K-Mean and Fuzzy C-Means algorithms.
Perbandingan Perbedaan Postur Tubuh Penari pada Pengenalan Gerakan Tari Sigeh Penguten Menggunkan Hidden Markov Model Yuthsi Aprilinda; Destri Silvira Ocha Eryani; Maria Shusanti Febrianti; Fenty Ariani; Freddy Nur Affandi
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 2 (2022): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i2.2734

Abstract

The Sigeh Penguten dance is a dance originating from Lampung where the Sigeh Penguten dance is often called the worship dance. Traditional dance is one of the heritages of Indonesia culture. This Sigeh Penguten Dance research aims to get comparison results from the data training that has been carried out and to get the desired results in accordance with the data testing that has been carried out. With the advancement of technology, a system is needed to determine the comparison results of training data and a learning system is needed to conduct test data. Where MongoDB is used as a Database to store large files with a better level of security. The training data will be automatically saved to mongoDB in the form of a CSV file. Researchers used 3 phrases, namely Ngerujung, Cockfighting, and Rejecting Cliffs. The system will implement by using a Kinect sensor to detect motion in dance. To get the results, the dancer will stand in front of the Kinet sensor.
APLIKASI ORDER SERVICE BENGKEL MENGGUNAKAN METODE HAVERSINE UNTUK MENGETAHUI JARAK BENGKEL TERDEKAT Fenty Ariani; Adi Guntoro; Erlangga Erlangga; Yuthsi Aprlinda
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 10, No 1 (2020): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jmsit.v10i1.1490

Abstract

Permasalahan ban bocor merupakan hal yang biasa terjadi pada saat berkendara, baik roda dua ataupun roda empat. Sebagai pengendara tentunya akan segera mencari bengkel terdekat. Akan tetapi permasalahannya sangat sulit menemukan lokasi bengkel terdekat. Selama ini hal yang dapat dilakukan oleh pengendara yaitu dengan cara bertanya dengan orang lingkungan sekitar. Berkaitan dengan hal tersebut informasi lokasi bengkel tambal ban menjadi penting. Tujuan utama penelitian ini adalah mempermudah pengendara untuk mencari lokasi bengkel terdekat. Adapun salah satu metode untuk menyelesaikan permasalahan tersebut yaitu dengan menggunakan Metode Haversine. Metode digunakan untuk pengukur jarak berdasarkan lengkungan bumi untuk mempermudah user dalam mencari bengkel. User dapat melihat beberapa lokasi bengkel terdekat dan memilih salah satu bengkel lalu melaporkan keluhan di dalam aplikasi sehingga pihak bengkel dapat merespons cepat untuk perbaikan kendaraan.
Implementasi Algoritma Rabin-Karp pada Pendeteksian Plagiarisme Ari Kurniawan Saputra; Robby Yuli Endra; Fenty Ariani; Tia Tanjung; Agustan Prakarsya
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 13, No 1 (2023): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v13i1.3161

Abstract

Implementation of Rabin-Karp Algorithm in Plagiarism Detection - Plagiarism is a crime and a scourge of science. To avoid plagiarism in scientific articles, as in the case of this research, string-matching methods can be used. This study aims to implement the Rabin-Karp Algorithm in detecting plagiarism in scientific writing based on the level of text similarity. The Rabin-Karp algorithm was chosen for this research problem because previous studies revealed that the Rabin-Karp premise is to separate the hash value of the input string from the text substring. Assuming they are the same, the character check is performed one more time, and if not, moves the substring aside. The main part of this computation exhibit is successfully calculating the hash of the substring when applied. This research is quantitative. The stages of this research flow were carried out by testing the implementation of the Rabin-Karp algorithm. Based on the calculation above, the percentage of similarity between Test Sentence 1 and Test Sentence 2 is 77.96%. Referring to previous studies, the Winnowing algorithm was found to be better at detecting text similarities than the Rabin-Karp algorithm. This is shown in the results of the similarity detection test of 30 paper documents as test data with the results of the average percentage value. Rabin-Karp Algorithm 41.41% and Winnowing Algorithm 35.15%. This study shows that the Rabin-Karp Algorithm does not work optimally in detecting text similarity, so further research needs additional methods to calculate a good level of similarity to optimize the performance of the Rabin-Karp Algorithm.
Co-Authors Adi Guntoro Afandi, Freddy Nur Agustan Prakarsya Ahmad Cucus Ananta Reza Bahar Anisa Nurul Fallah Ari Kurniawan Saputra Arnes Yuli Vandika Ayu Kartika Puspa Charles Evan Djabumir Destri Silvira Ocha Eryani Dewi Setya Lusi Dian Kurniawan Emy Sugandasari Erlangga Erlangga Handy Widjaya Lyse Nuriska M Naufal Alfarizi Pakpahan M. Alkautsar Maria Shusanti Febrianti Prakarsa Cendekia Ramses Parulian Sinaga Repa Aprilia Riza Muhida Robby Yuli Endra Saida Sinaga Taqwan Thamrin Theresia Cathline Adelia Tia Tanjung Tia Tanjung, ST., M.Kom Usman Rizal Wiwin Susanty Yeni Oktavia Yudi Fadli Yuthsi Aprilinda Yuthsi Aprlinda