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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Published by Universitas Indraprasta PGRI
ISSN : 25279661     EISSN : 25492837     DOI : http://dx.doi.org/10.30998/string.v4i3.6197
Core Subject : Science, Education,
Computer Science & IT Mathematics
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika
Articles 14 Documents
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Search results for , issue "Vol 6, No 1 (2021)" : 14 Documents clear
Sistem Pendukung Keputusan Pemilihan Kualitas Produk UPS Terbaik Menggunakan Metode Topsis dan SAW Dimas Fathulyaqin; Ucuk Darusalam; Ira Diana Sholihati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 1 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (897.026 KB) | DOI: 10.30998/string.v6i1.9898

Abstract

Every electronic device requires a good power supply so it perform functionally needed. Many devices use electrical energy. Starting from a laptop or computer device, TV, AC, refrigerator, cellphone, lights all use electric power. Even in every agency or company requires electrical energy for work activities to be more optimal. UPS (Uninterruptible Power Supply) itself is very useful for protecting electronic devices from blackouts that can occur at any time. This tool stores electrical energy such as battery and re-flows it, so that devices such as computers are not damaged. By using the calculation algorithm method TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) and SAW (Simple Additive Weighting) in making the best UPS quality decisions in terms of quality of goods by considering the quality of weight with the following criteria: Price, Capacity (VA), Capacity (Watts) and Runtime at 60W (min).
Tren Marketplace Berdasarkan Klasifikasi Ulasan Pelanggan Menggunakan Perbandingan Kernel Support Vector Machine Dwi Latifah Rianti; Yuyun Umaidah; Apriade Voutama
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 1 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.944 KB) | DOI: 10.30998/string.v6i1.9993

Abstract

Currently, many Indonesian people like to conduct online trading transactions. However, a number of business people find it difficult to choose a marketplace to market their products. One of the reasons is because they rarely pay attention to the marketplace trends that consumers are discussing. Therefore, analyzing trends on social media such as Twitter, it becomes very important for business people to understand the pattern of consumer tendencies towards their services or products. So the purpose of this study is to create a model that can analyze marketplace trends based on the classification of customer reviews on Twitter using the SVM algorithm. The kernels used are linear, RBF, sigmoid, and polynomial with parameter optimization using grid search. The methodology used is KDD. The results of the evaluation of the best classification model are the sigmoid kernel with 92% accuracy, 92% precision, 92% recall, and 92% F1 score and parameters C=100, =0.01, and r=1. Market trend results based on the highest percentage of positive reviews are Tokopedia, Shopee, and lastly Bukalapak.
Perbandingan Naïve Bayes dan Support Vector Machine untuk Klasifikasi Ulasan Pelanggan Indihome Aan Rohanah; Dwi Latifah Rianti; Betha Nurina Sari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 1 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.224 KB) | DOI: 10.30998/string.v6i1.9232

Abstract

IndiHome is an internet service provider from PT. Telekomunikasi Indonesia, Tbk with the widest internet coverage in Indonesia. Customer satisfaction is one of the things that must be considered in a company, including the IndiHome company. IndiHome's customer service satisfaction level can be seen from customer reviews via Twitter social media. This study discusses the classification of IndiHome customer reviews by applying the CRISP-DM research stages and the application of the Naïve Bayes Classifier algorithm and the Linear Support Vector Machine Kernel. Customer review data were obtained from Twitter, totaling 1000 tweets using the Rapid Miner and R library tools. The preprocessing stages applied were cleansing, case folding, tokenizing, word conversion, stopword, and stemming. The results of data visualization are presented in the form of a word cloud which is categorized based on positive and negative opinions of words that often appear. The results showed that the application of the Support Vector Machine Kernel Linear algorithm is better than the Naïve Bayes Classifier algorithm with an accuracy value of 82.11%, 76.44% precision, 88.01% recall, and an AUC value of 0.909.
White Box Testing Pada Sistem Manajemen Pengelolaan Surat di Sekretariat Rektorat Berbasis Web Asep Nurdin; Fauziah Fauziah; Ratih Titi Komala Sari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 1 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (920.528 KB) | DOI: 10.30998/string.v6i1.9899

Abstract

Letter is a written communication medium that is made or received by a party related to the implementation of a main task and function of the organization to another party. The Office of the Secretariat of the Rectorate of the National University, which is the working unit for managing correspondence for the leadership, is currently still using manual mail management, both in recording, archiving and disposition. Therefore, the authors designed a mail management system at the secretariat of the web-based rectorate with the PHP programming language and MYSQL database that are easily accessible online via internet browsing, with the aim of making it easier for employees to manage letters, so that work efficiency has increased, disposition becomes faster. and accurate, and the mail management system is becoming more integrated and computerized. The white box testing method is used in system testing, where the results obtained are of the same value for the number of Cyclomatic Complexity City (CC) = 22, Region (R) = 22 and Independent Path = 22, meaning that the logic flow of this system shows that the mail management system is based on This website is correct and appropriate, and free from logical errors.

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