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All Journal JOIV : International Journal on Informatics Visualization Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Teknik Informatika (JUTIF) Jurnal Begawe Teknologi Informasi Jurnal Pendidikan dan Pengabdian Masyarakat

Budi Irmawati

Unknown Affiliation

Author-ID : 288605

Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Other

Published : 27 Documents Claim Missing Document

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Articles

Title

Twitter Sentiment Analysis using Na¨ive Bayes Classifier with Mutual Information Feature Selection Maria Arista Ulfa; Budi Irmawati; Ario Yudo Husodo
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 2 No 2 (2018): Desember 2018
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Sentiment analysis is an identification technique of emotion expressed in texts. Thesentiment analysis goal is to determine a negative or positive opinion within a sentenceor a document. Twitter is one of social medias to convey an opinion. The twitter allowsits users to write opinions related to a specific topic in a tweet. The twitter data used inthis research was downloaded using the twitter Application Programming Interface (API).It consisted 500 tweets about Lombok tourism that contained #lombok and#woderfullombok hashtags. The features extracted from the twitter data were selectedusing the Mutual Information (MI) method then they were analyzed using the NaïveBayes Classifier (NBC) model. The evaluation of sentiment analysis on the Lomboktourism twitter data in a 10-folds cross validation resulted 97.9% accuracy.Key words : Sentiment Analysis, Twitter, Naïve Bayes Classifier, Mutual Information.

Sistem Informasi Penilaian dan Monitoring Kinerja Aparatur Sipil Negara Kota Mataram Lalu Muhammad Agung Hidayatullah; Royana Afwani; Budi Irmawati
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

The Mataram municipal government is currently collecting ASNs Data. ASNs is employees working in the municipal government, which reach about 5500 people. As a consequent, the municipal have to spend budget to pay the ASNs salary. This salary is calculated based on ASNs position as well as then grade and class. The class and grade of the ASNs are evaluated based on their performance in completing their task. This evaluation is represented in such form called SKP (Sasaran Kerja Pegawai) that describe ASN work target and completeness. Currently, these forms are presented in Microsoft Excel that susceptible to errors. In this research, we develop a web-based system for the SKP for easy assessing the ASNs performance. Using this system, the ASNs evaluation were recorded in a database the baseline for future evaluation.

Design Of A Website-Based Mental Health Early Detection Information System (Case Study: Hu'u Subdistrict) Wahida, Nurul; Agitha, Nadiyasari; Irmawati, Budi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 1 (2025): Juni 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i1.613

Mental health problems in Hu'u Sub-district are related to the high number of attempted suicides, indicating a lack of access to early detection of mental health disorders. This study aims to design and build a website-based mental health early detection information system to facilitate the early identification of mental health problems in adolescents. The system was developed using the Personal Extreme Programming (PXP) method and the Strengths and Difficulties Questionnaire (SDQ) as a testing instrument. The development process was carried out in two iterations for 30 days. The system was tested using the black box method and User Acceptance Testing (UAT). The results of black box testing show that the system functions correctly and according to the expected functionality. UAT testing involving students and the Rasabou Health Center showed an average score of 90% and 90.04%. These results show that the system is effective in detecting mental health disorders and has met expectations by user needs.

Bahasa Inggris: Bahasa Indonesia I Desak Putu Diah Anggiani; Budi Irmawati; Royana Afwani
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 1 (2025): Juni 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v8i1.640

The development of a web-based Scout Information System for Kwartir Cabang Mataram aims to improve the management of member data and activities through a REST API. The current data management process, relying on tools like Google Forms and Microsoft Excel, is inefficient and error-prone. To address these issues, the proposed system integrates all levels of scout organization within the Mataram City, from school-based scout units (gugus depan) to the city level scout organization (kwartir cabang), creating a centralized platform for real-time data access. Built using the Scrum method, the system is developed through iterative sprints and regularly improved based on stakeholder feedback. The REST API architecture enables seamless communication between the back-end and front-end components, ensuring system scalability, flexibility, and future integration with other platforms, including mobile applications. Black-box testing guarantees the functionality of the system’s endpoints. This system is expected to enhance operational efficiency and reduce administrative delays.

Pengembangan Front-End dan Pengambilan Data untuk Visualisasi Data dan Aktivitas Pramuka Kota Mataram Budisantoso, Arvelio Renathan; Irmawati, Budi; Afwani, Royana
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.674

Mataram City's scouting administration information system currently relies on manual processing like Google Forms and Excel that encounter challenges at the Scout Unit level up to the District Council. These manual processing result in data mistakes, reporting delays, and challenges for the Regency Council to obtain real-time information. This project aims to create a website-based information system using the Scrum methodology in order to centrally digitalize members, scoutmasters, and scout activities data management. Using Next.js and TypeScript, the authors develop a front-end and data retrieval from API Endpoints. This application to enhance user productivity, facilitate cross-level reporting, and provide effective data visualization. These benefits are supported by the User Acceptance Testing results, which show an average feasibility score of 81.74% in the "good" category across functionality, reliability, usability, and efficiency aspects. This confirms that the digitalization of scout administration is both ready to be implemented and aligned with user expectations.

Sistem Pakar Diagnosa Penyakit Gigi dengan Metode Bayesian Network Berbasis Website Yunda Aisyah; Fitri Bimantoro; Budi Irmawati
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Teeth serve to chew food, say words clearly, form a harmonious face and for a better appearance. Healthy teeth and gums will make it easy to eat well and enjoy good food. There are some problems that can affect oral health, but good care will make the teeth and gums strong. Lack of public awareness of maintaining dental health can cause major problems later on. In this case, an expert system tool for diagnosing dental diseases will be made using the website-based Bayesian Network method. The initial step in this study was to collect data, such as data on dental disease, data on dental disease symptoms and the weight of each symptom of dental disease used. The data was obtained from three dental disease doctors in three health centers in East Lombok. After getting the data, then calculating the weights for each symptom, the results of the calculation will be summed then divided by the number of symptoms suffered by the patient. The results of these calculations can be consulted by a dental specialist.

Co-Authors Adi Kurniawan Afwani, Royana Aghita, Nadiyasari Agitha, Nadiyasari Agus Gunawan Al Qadri, Ramadhani Alamsyah, Noor Albar, Moh. Ali Anjarwani, Sri Endang Apriliana, Candra Yuli Aranta, Arik Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo, Ario Yudo Arrova Dewi, Deshinta Astuti, Yuli Yana Budi Dwi Satoto Budisantoso, Arvelio Renathan Bulkis Kanata Cahyani, Armita Dwi Choirunnisa, Valia Adri Cipta Ramadhani Dafa Rozzi Pratama Fatmawati, Ririn Dwi Fitri Bimantoro Hendra Ahmad Yani Heri Wijayanto Hery Haryanto I B K Widiartha I Desak Putu Diah Anggiani I Gede Pasek Suta Wijaya I Wayan Agus Arimbawa, I Wayan Agus Jayusman, Dirga Karinda Irianti Kautsar Sophan, Mohammad Kembang Hapsari, Rinci Kokong, Diah Anggreni Ratna Sari Lalu Muhammad Agung Hidayatullah Lestari, Eke Febi Lilik Hidayati, Lilik Ma'we, Hannatul Maidatun Izzati Maria Arista Ulfa Muhammad Awaluddin, Muhammad Muhammad Yusuf Murpratiwi, Santi Ika Naim, Nadratul Prawesti, Shafira Indah Rachim, Fauziyah Aulia Raihan, Muhammad Ramaditia Dwiyansaputra Rassy, Regania Pasca Rendy Robbani Rosa Anamisa, Devie Rosidi, M. Ahyar Rumbiak, Rudolf Shabrina, Marwati Maryam Sianturi, Reni Suhada, Destia Teti Zubaidah Utami, Alya Hadranita Vandha Pradwiyasma Widartha WAHIDA, Nurul Wayan, Wininda Wedashwara, Wirarama Yunda Aisyah Yuningsih, Upi Zakiyah Rahmiati

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