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All Journal International Journal of New Media Technology Jurnal ULTIMATICS Jurnal ULTIMA Computing Jurnal Bumigora Information Technology (BITe)
Fenina Adline Twince Tobing
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Analisis Perbandingan Efisiensi Algoritma Brute Force dan Divide and Conquer dalam Proses Pengurutan Angka Fenina Adline Twince Tobing; James Ronald Tambunan
Ultimatics : Jurnal Teknik Informatika Vol 12 No 1 (2020): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1071.13 KB) | DOI: 10.31937/ti.v12i1.1585

Abstract

Abstrak— Perbandingan algoritma dibutuhkan untuk mengetahui tingkat efisiensi suatu algoritma. Penelitian ini membandingkan efisiensi dari dua strategi algoritma sort yang sudah ada yaitu brute force dan divide and conquer. Algoritma brute force yang akan diuji adalah bubble sort dan selection sort. Algoritma divide and conquer yang akan diuji adalah quick sort dan merge sort. Cara yang dilakuakn dalam penelitian ini adalah melakukan tes dengan data sebanyak 50 sampai 100000 untuk setiap algoritma. Tes dilakukan dengan menggunakan bahasa pemrograman JavaScript. Hasil dari penelitian ini adalah algoritma quick sort dengan strategi divide and conquer memiliki efisiensi yang baik serta running time yang cepat dan algoritma bubble sort dengan strategi brute force memiliki efisiensi yang buruk serta running time yang lama. Kata Kunci – Efisiensi, algoritma, brute force, divide and conquer, bubble sort, selection sort, quick sort, merge sort
Perbandingan Algoritma Convex Hull: Jarvis March dan Graham Scan Fenina Adline Twince Tobing; Prayogo .
Ultimatics : Jurnal Teknik Informatika Vol 12 No 2 (2020): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v12i2.1800

Abstract

Comparison of algorithms is needed to determine the level of efficiency of an algorithm. The existence of a speed comparison in an algorithm that will make a unique shape is sometimes a problem that must be solved by comparing one algorithm with another. This problem can be solved by using Jarvis March and Graham Scan where this algorithm will create a unique shape of a point followed by testing the speed comparison of the two algorithms and the result can be stated that the Graham Scan algorithm in general works faster than the algorithm Jarvis March.
Penerapan Metode Fuzzy AHP untuk Sistem Pendukung Keputusan Pemilihan Pemasok Terbaik Fenina Adline Twince Tobing; M Iqbal Dzulhaq; Ramzi Fajar Sidiq
Ultima Computing : Jurnal Sistem Komputer Vol 11 No 2 (2019): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.896 KB) | DOI: 10.31937/sk.v11i2.1455

Abstract

Keberadaan pemasok sangat menentukan kelancaran proses produksi dan produk yang akan dihasilkan. Masalah yang dihadapi perusahaan adalah proses evaluasi atau pemilihan pemasok terbaik masih bersifat manual, sulitnya menentukan pemasok mana yang memiliki performansi terbaik, keterlambatan datangnya bahan baku mengakibatkan keterlambatan proses produksi yang berujung pada tidak tercapainya jumlah produksi. Pada penelitian ini dibangun Sistem Pendukung Keputusan (SPK) untuk pemilihan pemasok terbaik menggunakan 4 kriteria yang disesuaikan dengan kondisi dan kebutuhan perusahaan yaitu harga, stok, delivery, dan mutu. Masing-masing kriteria tersebut akan dibobotkan menggunakan metode Fuzzy AHP. Pada implementasinya dihasilkan bobot kriteria harga sebesar 0,632, stok 0,352, delivery 0,084, mutu 0,107. Hasil pembobotan ini akan digunakan untuk mendukung penilaian pemasok terbaik dan akan diperoleh nilai masing-masing pemasok sehingga diketahui siapa pemasok terbaik
Sentiment; Clustering; K-Means Analysis Sentiment in Bukalapak Comments with K-Means Clustering Method Rena Nainggolan; Fenina Adline Twince Tobing; Eva J.G Harianja
IJNMT (International Journal of New Media Technology) Vol 9 No 2 (2022): IJNMT : International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v9i2.2914

Abstract

Technological development are very fast ini this era of globalization, to facilitate the work of many aspevt that can be utilized, as well as for the flow of information. By applying computer technology in varios fields, such as educations, entertainment, healt, tourism, culinary and so on. Clustering id one of the Data Mining techniques. Clustering works by combining a number of data or objects into one cluster, with the aim that each data ini one cluster will have data that is a similar as possible and different from data or objects in other groups. K-Means Clustering has the ability to perform computations that are relatively fast and efficient in combining large amounts of data. In this research, there are 1407 comments which will training data and testing data.
Optimizing Patient Registration Process through Online Admission Application: A Scrum Approach Suwito Pomalingo; Fenina Adline Twince Tobing
Jurnal Bumigora Information Technology (BITe) Vol 5 No 1 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i1.3007

Abstract

Background: The healthcare environment is dynamic and often changes rapidly, whether in terms of regulation, technology or patient needs. Handling these changes and iterations in a short period of time and without disrupting hospital operations is quite a challenge.Objective: The research was conducted with the aim of optimizing the patient registration process at Bahagia Hospital in Makassar through an online system.Methods: The focus of this research was the application of the Scrum method in developing the application. Various methods were employed in this study, including observation, literature review, and interviews to gather user requirements. In the application development process, a series of sprints comprising planning, execution, review, and retrospection stages were carried out. The resulting application was able to quickly respond to user needs and improve services for patients.Result: The test results showed a success rate of 90% in achieving sprints within the specified time frame, indicating that the team was able to meet the set targets in each sprint.Conclusion: The effectiveness of the Scrum method in developing this application was affirmed in this study, thus it can be utilized for future development of similar applications.
Co-Authors Eva Julia Gunawati Harianja James Ronald Tambunan M Iqbal Dzulhaq Pomalingo, Suwito Prayogo . Ramzi Fajar Sidiq Rena Nainggolan