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All Journal STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal E-Komtek Jurnal PkM (Pengabdian kepada Masyarakat) COVIT JRKT (Jurnal Rekayasa Komputasi Terapan) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Gilang Ryan Fernandes
Universitas Indraprasta PGRI
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation

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Journal : Jurnal E-Komtek

 1 
Boundary Value Analysis Testing Against Library Applications Using the Black Box Method as System Performance Optimization Gilang Ryan Fernandes; Ika Mei Lina
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 5 No 1 (2021)
Publisher : Politeknik Dharma Patria Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v5i1.528

Abstract

The development of the use of advanced technology in the form of computerized applications has become a trend and is widely used in all fields. One of the fields that take advantage of the use of automated technology is the library. However, not all of these applications can run well by the application creation hypothesis. For this reason, application testing is required before implementation to avoid bugs or errors. Consider the application testing phase importance, testing with the black box method was carried out on library applications using the Boundary Value Analysis (BVA) technique in this study. These testing methods and techniques were chosen. When the application is implemented, there will be no more errors caused by differences in the value data during the input process with the stored value data, after testing using the black box method with the BVA technique and documentation of each test. All the library application functions have been running according to the initial application plan made, and there are no more bugs or errors when the application is run.
Sentiment Analysis on Twitter Using Maximum Entropy : a Case Study on Indosat Ooredoo Gilang Ryan Fernandes; Ika Mei Lina
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 6 No 1 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i1.911

Abstract

The result of the current technological developments makes increasingly tight telecommunication provider competition. Various opinions expressed by customers about telecommunication providers are found in social media. Twitter is widely used by the public to share information and socialize; also, to share opinions, express opinions of a product or service, and provide reviews on communication providers. Many reviews are provided by users on Twitter, making it hard to classify manually. Therefore, to make it easy to classify the tweets, an automation system is needed to determine that a comment is positive or negative. Maximum Entropy can be used for sentiment analysis of Indosat Ooredoo tweets. On these grounds, this study explains how to define tweets into positive and negative classes with applications created using Java. Based on the research and after testing, the Maximum Entropy obtained an accuracy value of 86.21% and an AUC value of 0.968.
Co-Authors Ika Mei Lina Redo Abeputra Sihombing Septianzah, Kevin