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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Riset Informatika INTI Nusa Mandiri JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Infortech Computer Science (CO-SCIENCE) JUSTIAN - Jurnal Sistem Informasi Akuntansi Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Insan Jurnal Pengabdian Literasi Digital Indonesia Indonesian Community Service Journal of Computer Science
Wahyutama Fitri Hidayat
Universitas Bina Sarana Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science Library & Information Science

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Sentiment Analysis of Twitter's Opinion on The Russia and Ukraine War Using BERT Julianto, Muhammad Fahmi; Malau, Yesni; Hidayat, Wahyutama Fitri
Jurnal Riset Informatika Vol. 5 No. 1 (2022): December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.169

Abstract

News about the war between Russia and Ukraine can not be denied affecting various aspects of life worldwide. It affects the writings of every world citizen on various social media platforms, one of which is Twitter. Sentiment analysis is a process of identifying and making sentiment categories computationally. The sentiment analysis process is also intended to make computers understand the meaning of human sentences by processing algorithms. This research uses the deep learning method of the BERT (Bidirectional Encoder Representation Form Transform) model language to analyze the sentiments in the tweets written about the wars between Russia and Ukraine by Twitter social media users. The sentiment will be divided into positive, neutral, and hostile. The hyperparameters in this study used ten epochs, with a learning rate of 2e-5 and a batch size of 16. The test used in sentiment analysis was the BERTbase Multilingual-cased-model model, and the accuracy was 97%. Suggestions for further research are the need for a more balanced dataset between positive, neutral, and negative sentiments. They reward the dataset before training so that better results are expected.
Usability Testing Aplikasi Informasi Desa Wisata Menggunakan Metode Cognitive Walkthrough dan System Usability Scale (SUS) Hidayat, Wahyutama Fitri; Setiadi, Ahmad; Malau, Yesni; Purnama, Rachmat Adi
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i1.8887

Abstract

Penelitian ini membahas pengujian usability pada aplikasi Sidewi Mobile guna mengevaluasi tingkat keterpakaian dan kepuasan pengguna. Metode yang digunakan adalah System Usability Scale (SUS) dan Cognitive Walkthrough untuk mengidentifikasi masalah serta memberikan rekomendasi perbaikan berdasarkan pengalaman pengguna. Hasil pengujian menunjukkan bahwa aplikasi memiliki tingkat keberhasilan penyelesaian tugas sebesar 89,2% dan efisiensi penggunaan dengan rata-rata waktu penyelesaian sebesar 0,01 goals/seconds. Nilai SUS yang diperoleh sebesar 52,1, menunjukkan bahwa aplikasi masih berada dalam kategori marginal low dan belum sepenuhnya dapat diterima oleh pengguna. Oleh karena itu, rekomendasi perbaikan mencakup peningkatan antarmuka pengguna serta penambahan fitur pencarian untuk meningkatkan pengalaman pengguna dalam mengakses informasi desa wisata.
Prototype Aplikasi Edukasi Anak Berbasis Mobile Hidayat, Wahyutama Fitri; Malau, Yesni; Julianto, Muhammad Fahmi
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 3 No. 1 (2022): Mei 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v3i1.1185

Abstract

Teknologi informasi dunia dimana saat ini sedang berkembang dengan pesat telah menyasar berbagai aspek di masyarakat yaitu ekonomi, kebudayaan, seni, politik, dan tak terkecuali dunia pendidikan. Tujuan dari penelitian yag dilakukan yaitu menghasilkan prototype aplikasi yang berberbasiskan mobile application dengan diberikan nama Aplikasi Edukasi Anak. Batasan yang digunakan di penelitian ini yaitu hanya akan dibahas mengenai merancangan aplikasi berdasarkan model prototype. Hasil dari penelitian ini berupa rancangan Aplikasi Edukasi Anak berbasis mobile yang dirancang menggunakan aplikasi Justinmind. Hasil rancangan yang dilakukan pengujian dengan digunakannya metode BlackBox dapat menghasilkan fitur aplikasi prototype yang dirancang dapat berjalan sesuai dengan rancangan dan diterima.
PEMANFAATAN TEKNOLOGI AI UNTUK PENINGKATAN KREATIVITAS ANAK ASUH YAYASAN AS-SYAMSURIYAH JAKARTA Budiarti, Yusnia; Setiadi, Ahmad; Yunita, Norma; Fitri Hidayat, Wahyutama
Indonesian Community Service Journal of Computer Science Vol. 2 No. 2 (2025): Periode Juli 2025
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/indocoms.v2i2.9228

Abstract

Community service activities with the theme of Increasing Creativity Using AI at the As-Syamsuriyah Foundation aim to enhance the skills of the children under the care of the As-Syamsuriyah Foundation in utilizing Artificial Intelligence (AI) technology through visual arts in the form of videos that can be used for effective documentation and publication. In this digital era, AI offers great potential to boost human creativity, but its use must be carried out carefully and responsibly. By understanding and addressing ethical challenges, we can ensure that AI becomes a partner that enriches the creative world, rather than a threat that undermines it. Wise implementation of AI allows humans to continue to evolve, creating works that harmoniously blend technology and human touch. This training includes visual arts in the form of videos utilizing AI technology that can be used for documentation and publication. Participants will learn to utilize AI using software to create easily accessible animation videos suitable for the foundation's documentation needs. This activity is expected to help the foundation's children improve their creativity using AI while still paying attention to ethical aspects. The output of this community service activity will be in the form of articles in print or electronic media, increased knowledge and skills of the partners.
Rancang Bangun Perangkat Lunak Lelang Vendor Barang dan Jasa Berbasis Website Malau, Yesni; Pudjiarti, Eni; Setiadi, Ahmad; Hidayat, Wahyutama Fitri
Jurnal Sistem Informasi Akuntansi Vol. 6 No. 2 (2025): Periode September 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v6i2.10727

Abstract

Conventional vendor selection in a project often faces various problems, such as granting exclusive rights to certain vendors, wasting time and costs, and a lack of transparency that can lead to potential corruption. This study aims to develop a website-based vendor selection system using the Codeigniter framework to improve order and transparency in the vendor selection process. The methods used include collecting user requirements data, designing the system using the PHP programming language and the Codeigniter framework, and comprehensive system testing through a Black Box Testing approach. The test results show that all features of the website-based procurement system function as expected with 100% valid results. This software aims to reduce unethical practices and increase user satisfaction and productivity by providing a faster and more transparent procurement process. This study provides a real solution to improve the vendor selection tender process and is expected to be widely implemented to support order and transparency in procurement across various sectors. In addition, this system is also expected to improve data accuracy and accelerate the decision-making process in procurement.
Co-Authors Ade Hendini Ahmad Setiadi Ali Mustopa, Ali Annida Purnamawati Bayu Pratama, Eri Destiana Putri Eni Pudjiarti Eri Bayu Pratama Fajar Sarasati Fajar Shidiq Fintri Indriyani Hermanto Hermanto Indradewa, Rhian Jordy Lasmana Putra Julianto, Muhammad Fahmi Kartika Handayani Khalila, Ayasha Noor Mochammad Imron Awalludin Muhamad Syarif Muhammad Fahmi Julianto Nugroho, Wawan Paulus Tofan Rapiyanta Rachmat Adi Purnama Rangga Sanjaya Taufik Asra YANTO YANTO Yesni Malau Yunita, Norma Yusnia Budiarti