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All Journal CESS (Journal of Computer Engineering, System and Science) SMATIKA JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Mantik INTI Nusa Mandiri Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas Bina Bangsa J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi)
Ira Diana Sholihati
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Analisis Sentimen Gofood Berdasarkan Twitter Menggunakan Metode Naïve Bayes dan Support Vector Machine Melati Indah Petiwi; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3530

Abstract

The Covid-19 pandemic in Indonesia has an impact on every sector of life, including the economy. The government implements social activities that make people have to carry out activities at home. Because of this, humans choose to do everything digitally, including ordering food. With the application of public interest in ordering food online, the income of one of the food orders, namely Gojek (Gofood) has increased. However, Gofood has many pros and cons in the community. In this case, many people give their opinion about the use of social media, especially twitter. The purpose of this study was to analyze public opinion on the performance of Gojek (Gofood) in Indonesia. The grouping into three classes, namely positive, negative and neutral classes were tested using the Naïve Bayes and SVM methods and compared the two methods. The analysis of public sentiment regarding Gofood on Twitter resulted in 92.8% worthy neutral, 5.2% worthy positive and 2.0% worthy negative. Comparing the accuracy results, the Support Vector Machine method has greater accuracy than the Naïve Bayes method, with the Support Vector Machine accuracy values of 83% and 98.5%, while the Nave Bayes accuracy values are 74.6% and 91.5% respectively.
Aplikasi Pembelajaran Interaktif Augmented Reality Tata Surya Sekolah Dasar Menggunakan Metode Marker Based Tracking Ismi Naili Qurrotul Aini; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1875

Abstract

Along with the times, the learning media also continues to grow. In solar system subjects usually, the media is used is books, where students can only see 2D forms. The purpose of this research is to build an application that can create a 3D object accompanied by an explanation, so as to make learning more interactive and easily understood using Augmented Reality (AR) technology. In previous journals, a solar system learning application has been made using AR technology, and this research will be developed by creating a quiz menu and true or false to find out how far students understand the material being taught. To ensure the application runs well, testing images, distance and angle markers, application features, and questionnaires using a black box. Marker test results can be distinguished well, markers can be detected well at a distance of 30-90 cm with an angle of 45ᴼ-90ᴼ, then questionnaires to 10 elementary school students related to this application 100% like the solar system AR application as a learning medium.
Analisis Sentimen Terhadap Layanan Indihome Berdasarkan Twitter Dengan Metode Klasifikasi Support Vector Machine (SVM) Rian Tineges; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2181

Abstract

In the year 2018, 18.9% of the population in Indonesia mentioned that the main reason for their use of the Internet is social media. One of the social media with an active user of 6.43 million users is Twitter. Based on the surge of information published via Twitter, it is possible that such information may contain the user's opinions on an object, such objects may be events around the community such as a product or service. This makes the company use Twitter as a medium to disseminate information. An example is an Internet Service Provider (ISP) such as Indihome. Through Twitter, users can discuss each other's complaints or satisfaction with Indihome's services. It takes a method of sentiment analysis to understand whether the textual data includes negative opinions or positive opinions. Thus, the authors use the Support Vector Machine (SVM) method in sentiment analysis on the opinions of the Indihome service user on Twitter, with the aim of obtaining a sentiment classification model using SVM, and to know how much accuracy the SVM method generates, which is applied to sentiment analysis, and to see how satisfied the Indihome service users are based on Twitter. After testing with SVM method The result is accuracy 87%, precision 86%, recall 95%, error rate 13%, and F1-score 90%
Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android Syavira Cahyaningsih; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2591

Abstract

Using skincare and facial skin care must be in accordance with the type of facial skin, because if it is not suitable, it can cause problems such as facial skin breakouts, dry skin, irritated skin, and acne prone skin. To find out the type of facial skin, you have to do an examination with a skin and genital specialist, but the high cost of consultation and the long queue process is an obstacle for everyone. Therefore, the authors created an expert system to identify facial skin types using a combination of certainty factor methods with forward chaining techniques. The diagnostic results from calculations using an expert system application and the results of manual calculations from one of the respondent data from 100 respondent data, namely producing the same level of confidence, each of which produces a percentage of 99.45% and the diagnostic results state that the user has a normal skin type.
Analisis UI/UX Untuk Perancangan Website Apotek dengan Metode Human Centered Design dan System Usability Scale Cintya Damayanti; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3526

Abstract

Website based of technology information system widely using by organizations and companies. One of it’s application are inventory on Apotek rakyat anda. Apotek rakyat anda are pharmacy shop who sells medicines. Following the technology growth on the use of database electronic system digital based knowing as application or information system. This system has been made for the user based on user interface and user experience. The used of user interface for fulfing user needs and user experience for success parameter on the system that has been build. Methods for designing are Human-Centered Design (HCD) approach, for knowing system utility are System Usability Scale (SUS) method. Hoping this designing information system will help on inventory on Apotek Rakyat Anda.
Perancangan User Interface Design dan User Experience Mobile Responsive Pada Website Perusahaan Moh Dani Ariawan; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1896

Abstract

Human-Centered Design Method is a method of approach in the development and design of a system that focuses on the user according to aspects of the needs and habits of the user. Difficulty in accessing information on the website becomes a problem faced by the user and in terms of visual website can not be responsive when accessed via mobile. The initial stage carried out in this method is observation which aims to find and to better understand the problems faced by users to conduct testing to find out whether the solutions provided can be understood and easily used by the user. Website testing is done by giving tasks to the user to interact on the website prototype, as the final result of success in the aspect of ease and comfort of the user using the website. After testing the user directly the test results are obtained, ie the user already feels quite understanding and easy when using the website that was created. The responsive mobile feature created also makes users feel helped when using a website on a smartphone.
Sistem Informasi Penyebaran Lokasi Pelatihan Desa Berbasis GIS di Balai Besar Pengembangan Latihan Masyarakat Jakarta Anhar Hawari; Agung Triayudi; Ira Diana Sholihati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2190

Abstract

Jakarta Large Community Development Training Center is one of the work units in the Ministry of Villages, Disadvantaged Regions Development and Transmigration, that has the task and function to train rural communities. Every year the community trained can reach thousands of people consisting of several villages. Because the development of information technology maps can be displayed digitally by using Geographic Information Systems (GIS), so that it is more efficient and easily accessed by anyone and anywhere, this digital map will be integrated using the web. This research will be developed using HTML, CSS and Javascript website frameworks as front end, PHP as backend and MySQL by utilizing phpMyAdmin features as a database, all the programming languages will be processed using Codeigniter Framework. The final results of this study will be a Geographic Information System form for training distribution by displaying training locations, training data, as well as video documentation when training takes place, the data will be presented in Google Maps form so that it can easily find the location of training deployments that can later be used as a reference to determine the next training location
Co-Authors Aceng Supriyadi Achmad Syirod Aditya Pratama Agung Triayudi Ahmad Avivanto Andriansyah Utomo Anhar Hawari Bagus Widiyanto Cintya Damayanti Della Diniyati Dewi Janetta Az Zahra Dimas Fathulyaqin Dwi Yulian Rizki Saputra Fadhil Muhammad Supriyanto Fauziah Fauziah Ibnu Nur Khawarizmi irfan muttaqim Iskandar Fitri Ismi Naili Qurrotul Aini Lili Dwi Yulianto Melati Indah Petiwi Mochammad Januar Finandi Moh Dani Ariawan Mohammad Iwan Wahyuddin Muhamad Iqbal Wasta Purnama Muhammad Andhika Maulana Muhammad Jordy Muhammad Rizki Zidan Nur Hayati Pramesti Sifa Aisya Nuha Rafi Syahputra Ratih Mardianti Resa Wahyu Adi Pujianto Rian Tineges Rima Tamara Aldisa Rio Al Dzahabi Yunas Riska Setiawati Rizki Pebrian Septi Andryana Seza Rifsahadi Anugrah Sita Widad Muqsithoh Syavira Cahyaningsih Tasya Khaerani Janubiya Tika Aenun Nadila Ucuk Darusalam Ucup Maulana Vivimaryati Vivimaryati Yana Tania Haryanto Yudhi Setiawan