Jurnal Transformatika
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319 research outputs found
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Pengembangan Laboratorium Virtual Bermuatan Project-Based Learning Berbasis Android Untuk Meningkatkan Pemahaman Siswa SMK Pada Mata Pelajaran Komputer Dan Jaringan Dasar
The Covid-19 outbreak has changed the learning system in Indonesia from face to face to distance. This causes the practicum learning process to experience difficulties because the practicum requires a real laboratory so that practicum activities can be carried out. Therefore, to solve these problems through the development of virtual laboratory learning media containing Android-based PjBL to improve student understanding. The existence of a virtual laboratory allows students to carry out practical simulations through these learning media flexibly. The development method used is Successive Approximation Model 1 with 3 iterative stages, namely (1) Evaluate, (2) Design, and (3) Develop. The test results of user testing get a percentage value of 88.17% with a very valid category. It was concluded that the learning media developed was very feasible to use and quite effective in increasing the understanding of SMK students majoring in TKJ on Computer and Basic Network subjects.
Pengembangan Sistem Informasi Destinasi Wisata Pati berbasis Web Semantik
The purpose of this study is to implement semantic web technology to search for tourist objects in Pati Regency using ontologies. Search engines are currently unable to provide the exact information that users need. While search engines that use semantics can provide relevant information because the data can be understood according to meaning and are interconnected. Ontology is used to store data in the form of objects that are interconnected with each other. The ontology approach was chosen as an alternative to current storage media (relational based), because the data is easier to present. Pati Regency has a lot of tourism potential to be developed. Statistical data on the number of tours in Pati every year has increased, including religious tourism, cultural tourism, nature tourism, educational tourism and industrial tourism. However, the existence of these many tours has not made the city of Pati a tourist destination for both local and foreign tourists. The results of this study are the presentation of data models for tourist destinations which include cultural tourism, educational tourism, nature tourism, historical tourism, industrial tourism, craft tourism and culinary tourism in Pati Regency which contains some information such as the name of the tour, type of tour, description, the location of the tour and the telephone of the tour
Optimization of the Stemming Technique on Text Preprocessing President 3 Periods Topic
Stemming merupakan suatu proses untuk menemukan kata dasar dari sebuah kata. Penelitian ini bertujuan untuk melakukan tahapan text pre-processing pada data twitter yang menyebutkan topik Presiden 3 Periode , yaitu sebanyak 797 data yang didapatkan dari crawling twitter mulai tanggal 15 April 2022 sampai dengan 30 April 2022, sekaligus melakukan optimasi salah satu teknik stemming terhadap teks berbahasa Indonesia yang memang belum banyak dilakukan. Banyaknya kata yang diolah sebanyak 9401 kata. Optimasi yang dilakukan yaitu dengan memodifikasi kamus bahasa dan menambahkan kata-kata yang dimasukkan dalam stopword sehingga dapat menghasilkan jumlah kata ter-stemming yang semakin meningkat. Sebelum dilakukan optimasi, prosentase keberhasilan stemming mencapai 95,86%, setelah dilakukan optimasi meningkat menjadi 99,93%
IMPLEMENTATION OF FIREWALL MANGEL ON NETWORKS IN SMK ASSODIQIYAH SEMARANG
This study aims to regulate bandwidth usage and monitor website access using MikroTik. Bandwidth regulation with the aim of equalizing internet use where the number of students and teachers is 500 people, while monitoring websites and blocking negative websites aims to limit student access, which amounts to 416 students, consisting of 120 junior high school students, 150 vocational high school students, and 150 students. SD 100 and students 66 people. This research was conducted at Asshodiqiyah Vocational School as a technology base in the school environment under the Asshodiqiyah Foundation. The Assodiqiyah Foundation oversees elementary, junior high, and vocational schools and accommodates foreign students as boarding students. The service location is located at Jl. Sawah Besar Timur No 99 Rt.9 Rw. 2 Kaligawe Village, Gayamsari District, Semarang City. The method used in this research is Research and Development (R&D) [4]. This research discusses how to create and implement to the public how to use the Mikrotik tool as a regulator of bandwidth usage and see the sites that are accessed and if necessary block sites that are considered less suitable for students to access. The expected result is an even use of internet bandwidth and security of site access from negative things. So that students will avoid the negative influences that exist from the internet
Robusta London Coffee Price Forecasting Analysis Using Recurrent Neural Network – Long Short Term Memory (RNN – LSTM)
Coffee price forecasting has a significant role in preventing price fluctuations at a time. Therefore, a method is needed that can be used to forecast the price of coffee. This study discusses the analysis of coffee price forecasting using the Recurrent Neural Network – Long Short-Term Memory (RNN – LSTM) method. This study will be determined the best LSTM model that aims to get the results of forecasting the price of London robusta coffee with the smallest Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values. Using the LSTM model with units of 128 and dropouts of 0.1, forecasting the price of London robusta coffee has an RMSE value of 1,303 and MAPE of 3.53%. Therefore, the LSTM model can indicate the cost of London robusta coffee with an accuracy rate of 96.47%.
Analysis of the Topsis in the Recommendation System of PPA Scholarship Recipients at Universitas Islam Kebangsaan Indonesia
This research implements the TOPSIS method on a recommendation system for Peningkatan Prestasi Akademik (PPA) scholarship recipients. The research data was obtained from the computer and multimedia faculty, UNIKI. The results showed that the TOPSIS method can provide the best alternative based on the highest rank. In this research, the highest rank was obtained from the results for predetermined criteria, namely GPA, achievements, parental dependents and parental income. The highest value obtained is 0.7489. The system built based on a website with the PHP programming language
Evaluating the Popularity of Programming Languages in Indonesia using the MABAC Method
In today\u27s fast-paced digital era, the selection of a programming language plays a crucial role in the success of software development projects. This research aims to create an index of popularity for programming languages using the multi-attributive border approximation area comparison (MABAC) method. The study considers four data sources, including Jobstreet.Com, LinkedIn.Com, Google Trends, and Tiobe.com, to obtain the necessary information for evaluating the popularity of programming languages in Indonesia. The data range for this study is from May 1, 2020, until April 31, 2021. The results of the study indicate that the top ten programming languages in terms of popularity in Indonesia are Java, SQL, php, JavaScript, C, C++, python, C#, Visual Basic, and Assembly. The index can serve as a useful guide for strategic decision-making regarding the selection of programming languages for addressing the needs of the information technology market in Indonesia. The study\u27s findings can be useful for software developers, IT professionals, and decision-makers in organizations who need to select a programming language for their software projects in Indonesia. The MABAC method used in this study can also be applied to other contexts for evaluating the popularity of programming languages
Sentiment Analysis of YouTube Comments Toward Chat GPT
Sentiment analysis is used for analyzing the emotions and attitudes expressed in text data. In this study, sentiment analysis is used to understand people’s enthusiasm toward Chat GPT. The primary objective of this study is to investigate the acceptance of people of new artificial intelligence technology, Chat GPT, that may change the future. To get a deep understanding of it, a large dataset of user comments from YouTube is collected and then data pre-processing is done by removing stop words, punctuations, and irrelevant information. Using Text Blob and VADER approaches, comments are classified into positive, neutral, and negative categories. The result shows that most users have a positive sentiment to receive and use Chat GPT. The contribution of this study is to provide insights into the sentiment of people’s response to Chat GPT, which can inform user acceptance of the language model development and give guide its future applications
MOBILE PRIVACY AWARENESS OF HIGHER EDUCATION STUDENTS IN PLATEAU STATE NIGERIA
The ubiquitous nature of mobile devices and wide array of applications (and services) they offer make them useful in virtually all areas of human endeavours. Owners of mobile devices store large amounts of vital and sensitive personal information on their devices. Unauthorized access to such information by third parties can violate the privacy of users and expose individuals and businesses to huge financial loses and damage to reputation. This makes it imperative for owners of technology service providers and owners of mobile devices to take proactive steps that prevent privacy violation. One of such critical steps is privacy awareness, which is the knowledge and consciousness of the need for privacy, an understanding of actions that promote or compromise privacy and the consequences of irresponsible online behaviour. The aim of this study is to assess the level of awareness of tertiary institution students with respect to privacy issues associated with the use of mobile communication devices. The research uses questionnaires to obtain data on the privacy awareness of users of mobile devices in some tertiary institutions in Plateau State. The paper investigates the current status of mobile privacy issues and awareness of users in these tertiary institutions. It also attempts to expose the gaps in privacy awareness of mobile device users, the factors responsible for limited privacy awareness and strategies for addressing the low level of privacy awareness of mobile device users. The results from this study show that high level of literacy does not necessarily imply high-level privacy awareness. Many respondents who are privacy aware do not possess the necessary skills or knowledge to ensure data and user privacy on their mobile devices. Others who possess this knowledge are will to engage in practices that compromise privacy in exchange for financial gain. Overall, the study exposes the actual level of privacy awareness and defeat the assumption that high level of education automatically results in high-level privacy awareness. It also contradicts the assumption that being privacy-aware guarantees responsible online behaviour and adherence to practices that promote online privacy
PENERAPAN METODE PROFILE MATCHING UNTUK MANAJEMEN EVALUASI TUMBUH KEMBANG ANAK
Evaluasi tumbuh kembang pada anak penting dilakukan agar apabila terjadi penyimpangan pertumbuhan dapat segera dilakukan intervensi sejak awal sehingga dapat meminimalisir kelainan yang mungkin terjadi. Pada anak usia dini perlu dilakukan evaluasi setiap bulan yaitu untuk anak usia 12-72 bulan dan enam bulan sekali untuk anak usia 12-72 bulan. Dalam pelayanan kesehatan berfungsi untuk mengevaluasi tingkat kesehatan anak, namun untuk evaluasi anak di sekolah berguna untuk mengetahui kekuatan dan kelemahan komponen tumbuh kembang aspek kognitif, afektif, psikomotorik. Beberapa cara yang digunakan untuk mengevaluasi adalah dengan tes, pengukuran dan penilaian. Pengukuran sering digunakan untuk menilai jenis nilai sikap (afektif), misalnya kesediaan untuk berbagi dengan sesama teman. Evaluasi dalam bentuk tes digunakan untuk tipe kognitif dan penilaiannya lebih pada evaluasi tipe psikomotorik. Metode yang digunakan adalah profile matchin