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INDONESIA
Jurnal ULTIMATICS
Published by Universitas Multimedia Nusantara
ISSN : 20854552     EISSN : 2581186X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal ULTIMATICS merupakan Jurnal Program Studi Teknik Informatika Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang analisis dan desain sistem, programming, algoritma, rekayasa perangkat lunak, serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, kecerdasan buatan, pemrograman sistem mobile, serta topik lainnya di bidang Teknik Informatika. Jurnal ULTIMATICS terbit secara berkala dua kali dalam setahun (Juni dan Desember) dan dikelola oleh Program Studi Teknik Informatika Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
Arjuna Subject : -
Articles 275 Documents
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Kinerja Arsitektur Interoperabilitas Menggunakan Government Service Bus (GSB) dan Peer to Peer (P2P) Eko Wiyatnanto; Arief Indriarto Haris
Ultimatics : Jurnal Teknik Informatika Vol 13 No 1 (2021): 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.v13i1.1816

Abstract

The role of interoperability architecture is one of the solutions to data redundancy problems and data differences that cause the level of data accuracy to be low. However, the performance of the interoperability architecture needs to be evaluated as an effort to improve the quality of the application itself. This study aims to evaluate the interoperability architecture between architectures using the Government Service Bus (GSB) and Peer to Peer (P2P), through several tests, namely load testing and stress testing. Load testing and stress testing aim to measure the speed and resilience of an application by sending requests and measuring the response of the application. The difference is that in load testing, testing is carried out with certain load conditions, while in stress testing, testing is carried out under extreme conditions. Testing load testing, determining the load condition with a multiple of the number of users 100 to 500, with the JMeter tools. In stress testing, testing is carried out with a total of 1000 users, with the Loader.io tools. The results of the load testing show that the average access time for GSB is smaller than P2P, with an average of 2ms to 309ms and a request error rate of 0%. The results of stress testing show that the GSB architecture is faster than the P2P architecture with an average difference in access time of 2957ms, a difference in throughput of 1.5 request/second, but GSB has a higher request error rate than P2P with a difference of 16.05%. In general conditions with certain loads, the GSB architecture has superior performance, this can be seen from the access time and request errors. Meanwhile, in extreme conditions the GSB architecture experiences a decline in performance, this can be seen from a larger request error rate when handling very large requests.
Rancang Bangun Aplikasi e-Commerce Dropship Berbasis Web Alexander Waworuntu
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.v12i2.1823

Abstract

Inabay is a small business that provides various types of products from stationery to food supplements which are distributed through dropship mechanism. The transaction process with drop shippers are still carried out conventionally with a large number of drop shippers/resellers, causes resellers unable to monitor product stock in real-time. Therefore, Inabay develops a web-based e-commerce application that can be used by resellers to make purchases of goods and monitor the movement of stock quantities. The application development process adapts the Rapid Application Development method and uses the PHP programming language with Laravel framework and MariaDB database. User acceptance of the application is evaluated using the Technology Acceptance Model with the results of 88% perceived ease of use and 96% perceived usefulness.
Implementasi Algoritma Support Vector Machine dan Chi Square untuk Analisis Sentimen User Feedback Aplikasi Lulu Luthfiana; Julio Christian Young; Andre Rusli
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.v12i2.1828

Abstract

In order to adapt with evolving requirements and perform continuous software maintenance, it is essential for the software developers to understand the content of user feedback. User feedback such as bug report could provide so much information regarding the product from user’s point of view, especially parts that need improvements. However, it is often difficult to read all the feedback for products with enormous number of users as manually reading and analyzing each feedback could take too much time and effort. This research aims to develop a model for automatic feedback classification by implementing Support Vector Machine for the classifier’s algorithm and Chi-square method for feature selection. The model is developed using Python programming language and is then evaluated under different scenarios in order to measure its performance. Using a ratio of training and testing set of 80:20, our model achieved 77% accuracy, 50% precision, 55% recall, and 73% F1-score with 6.63 critical value and C=100 and gamma 0.001 as the SVM hyperparameters.
Prediksi Kedatangan Turis Menggunakan Algoritma Weighted Exponential Moving Average Sherly Florencia; Alethea Suryadibrata
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.v12i2.1831

Abstract

Tourism is an important factor for the development of a country. Tourism can be used as a promotion to introduce natural beauty and cultural uniqueness. Government needs to predict how many tourists will come every year to do a planning. Therefore, an application is needed to help to predict the arrival of tourists in each country. In this paper, we use Weighted Exponential Moving Average (WEMA) method to predict the arrival of tourist, tourism expenditure in the country, and departure using data from 2008 to 2018. Error measurement is calculated using the Mean Absolute Percentage Error (MAPE). The result shows that the lowest average MAPE on arrival data with span 2 is at 3.28. The lowest average MAPE on tourism expenditure data with span 2 is at 3.99%. The result shows that the lowest average MAPE on departure data with span 2 is at 3.63%.
Ulasan Literatur: Faktor-Faktor yang Mempengaruhi Adopsi Mobile Cloud Computing pada Mahasiswa Nina Fadilah Najwa; Muhammad Ariful Furqon; Eki Saputra
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.v12i2.1836

Abstract

Mobile Cloud Computing provides cloud storage services to users inside a cloud. This study focuses on the factors that influence the adoption of mobile cloud storage usage in the higher education. The research methods used in this study include: (1) problem formulation; (2) literature search; and (3) formulation of factors for adopting mobile cloud computing (4) validation and reliability test. The results obtained is a conceptual model that can be tested empirically. The main five factors are: (1) knowledge sharing variables; (2) Perceived usefulness variable (3) trust variable; (4) the attitude towards variable; and (5) the variable of behavioral intention of use. Each variable formulated in the conceptual model will be developed into items that are measurement indicators. The research contribution is in the form of a research model that is useful for empirical research on the factors of adoption of the use of Mobile Cloud Computing in the education sector.
Algoritma C4.5 dalam Penentuan Jurusan Siswa Baru Siti Monalisa Monalisa; Fakhri Hadi
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.v12i2.1838

Abstract

Based on ministerial regulations for curriculum 13 regarding specialization majors at the high school level from of entering class X. Then MAN 1 Inhil applied departmental arrangements that begin by including several indicators that are consistent with the results of testing, interviews, and student interest. Assessing in this departmental setting is very simple by summing each indicator's values and gathering the whole to produce an average value. If the value is fulfilled then the student is grouped based on their interests. This can lead to errors in the school's decision-making because this can lead to responses to student interests. Therefore we need methods and algorithms to help make decisions well. One algorithm that can be used is C4.5 algorithm which is an extension of ID3. The C4.5 algorithm used to classify majors with three indicators namely Natural Sciences, Social Sciences and Religion. The results showed that based on 360 data form the recapitulation result of student registrans, 71 data were obtained that had religious majors, 71 religious data were classified completely by C4.5. Furthermore, of the 144 data that have natural science majors, 123 data are fully classified, 20 data are approved as IPS, and 1 data is classified as religion. Of the 146 data that have majors in social studies, 120 are correct rules, 25 data are classified as natural sciences. Thus it can be concluded that the C4.5 algorithm has a success rate of 87.22% so that it can be used in decision making where most of the data is numeric.
Implementasi Algoritma Simon Pada Aplikasi Kamus Perubahan Fi’il (Kata Kerja Bahasa Arab) Berbasis Android Rahmad Akbar; Bambang Pramono; Rizal Adi Saputra
Ultimatics : Jurnal Teknik Informatika Vol 13 No 1 (2021): 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.v13i1.1850

Abstract

Keywords — String Matching Algorithm, Simon Algorithm, Android Fi'il Changes Dictionary Shorof science or Tashrif is the scientific field of word derivation in Arabic, one focus of the discussion in this field is the process of changing verbs or also known as Fi'il into several other types of words, such as Fi'il Mudhori ', Fi'il Madhi , Fi'il Amr, Fi'il Nahi, Isim Fa'il, Isim Maf'ul, Isim Zaman, Isim Makan, Isim Alat, Masdar or Masdar mim. The process of learning Shorof science is still mostly carried out in traditional ways, especially in the pesantren environment by memorizing the derivatives of these words and their translations. While one of the basic books that is often used is the book Amtsilah At-Tashrifiyah written by KH.Ma'shum bin Ali as a reference for the process of changing words, while looking for a translation in Indonesian must use an Arabic-Indonesian dictionary. This study aims to simplify the word search process by making an android-based dictionary of Fi'il change and utilizing the Simon Algorithm as a word search method, so as to simplify the learning process of Shorof's knowledge. Simon's algorithm is a string matching algorithm where the matching phase is carried out from left to right by initializing each index on a given pattern. After testing, the word search process can be carried out with an average running time of 3.67097786 milli second for searching Indonesian words and 23.8447333 milli second for searching Arabic words.
Recommendation for Classification of News Categories Using Support Vector Machine Algorithm with SVD Nofenky .; Dionisia Bhisetya Rarasati
Ultimatics : Jurnal Teknik Informatika Vol 13 No 2 (2021): 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.v13i2.1854

Abstract

Online news is a digital information media currently has a very easy and flexible updating process. The News Document grouping process is implemented in several stages, including Text Mining which includes Text Pre-processing which includes Tokenizing, Stopword removal, Stemming, Word Merging, TF-IDF and Confusion Matrix. Of the several techniques in Text Mining, the most frequently used for News Document classification is the Support Vector Machine (SVM). SVM has the advantage of being able to identify separate hyperplane that maximizes the margin between two or more different classes. The selection of features in SVM significantly affects the classification accuracy results. Therefore, in this study a combination of feature selection methods is used, namely Singular Value Decomposition in order to increase accuracy and reduce the Classifier Time Support Vector Machine. This research resulted in text classification in the form of categories Entertainment, Health, Politics and Technology. Based on the Support Vector Machines Algorithm, an accuracy rate of 81% was obtained with 360 Data Training and 120 Data Testing, after adding the Singular Value Decomposition feature with a K- Rank value of 50%, a significant increase in accuracy was obtained with an accuracy value of 94% and The time of Algorithm process is faster.
Implementasi Algoritma Complement dan Multinomial Naïve Bayes Classifier Pada Klasifikasi Kategori Berita Media Online Muhammad Naufal Randhika; Julio Christian Young; Alethea Suryadibrata; Hadian Mandala
Ultimatics : Jurnal Teknik Informatika Vol 13 No 1 (2021): 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.v13i1.1921

Abstract

Perkembangan teknologi dan penyebaran informasi di internet terus mengalami peningkatan. Salah satu bentuk informasi yang jumlahnya terus bertambah adalah berita. Media cetak dan elektronik yang kini telah dikemas dalam bentuk digital atau sering dikenal dengan portal berita online atau media online. PT Merah Putih Media merupakan media berita online. Berita yang disampaikan terdiri dari tiga kategori mulai dari berita tentang Indonesia, Hiburan dan Gaya Hidup, serta Olahraga. Namun, pembagian artikel berita ke dalam kategori dilakukan secara manual oleh kepala redaksi jurnalis. Text Mining adalah salah satu teknik yang dapat digunakan untuk melakukan klasifikasi sebuah dokumen. Pada penelitian ini dilakukan klasifikasi kategori otomatis dengan algoritma Multinomial Naïve Bayes, Complement Naïve Bayes, dan gabungan kedua model. Model yang memiliki performa terbaik dinilai dari metrik F1-Score dengan jumlah pembagian data latih dan data uji sebanyak 80:20, diperoleh keberhasilan performa sebesar 90,13% F1-Score.
Sistem Konten Pembelajaran di Indonesia : Systematic Literature Review Dhomas Hatta Fudholi; Insanur Hanifuddin; Sri Mulyati
Ultimatics : Jurnal Teknik Informatika Vol 13 No 1 (2021): 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.v13i1.1948

Abstract

Wikipedia is the largest web-based digital encyclopedia today that contains almost all knowledge in general. On Wikipedia many readers have difficulty finding accurate information about the topic they are looking for, as content on Wikipedia usually contains only an overview of the topic referenced from some existing references. This study aims to examine Wikipedia, other encyclopedias and other online media that contain specific topics with their target users. The study was conducted on literature related to Wikipedia, encyclopedias, education and children's interests, especially at the elementary school level. Literature search is done by including some of the main keywords in Google Scholar such as "Wikipedia", "encyclopedia", "elementary school curriculum", "educational content" and "learning media". Literature is also obtained through the official website of the Ministry of Education and Culture which contains elementary and junior high school education standards, educational assessment standards, and literacy and numeration learning modules at elementary level. The results of literature analysis include 4 classifications based on topics, namely evaluation of usage, content, online learning and media. Based on the results of the analysis found that there has not been much research on the digital encyclopedia for education.

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