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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Informatika dan Teknik Elektro Terapan Informatics for Educators and Professional : Journal of Informatics KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Indonesian Journal of Applied Informatics Jurnal ICT : Information Communication & Technology Jurnal Teknologi Informasi dan Multimedia Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) JATI (Jurnal Mahasiswa Teknik Informatika) Media Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Informatika Terpadu D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Komtika (Komputasi dan Informatika)
Raditya Danar Dana
Manajemen Informatika; STMIK IKMI CIREBON
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Other

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Journal : jurnal informatika terpadu

 1 
Usability Testing pada Aplikasi Kas Berbasis Android dan Teknologi API menggunakan Metode System Usability Scale Nurul Ibnu Al Muharom; Nana Suarna; Raditya Danar Dana
Jurnal Informatika Terpadu Vol 10 No 1 (2024): Maret, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i1.1099

Abstract

Cash management applications are used to store transaction data and create cash in and cash out reports that are more effective than using books. However, currently no usability testing has been carried out so it is quite difficult to determine future application development steps. The aim of this research is to measure the level of usefulness of an Android-based cash management application using the System Usability Scale (SUS) method, namely a 10-question Likert scale questionnaire distributed to respondents with the final result being a score of 0-100. The number of respondents was 15 people who were CV employees. Jaya Mukti. This test was carried out to determine the level of user convenience and satisfaction. The results of the research obtained a score of 84.7, this score shows a percentile level of 96%, Grade Scale A, Acceptability Ranges are in the Acceptable category, meaning acceptable, and the Adejctive Rating is in the Excellent category. If correlated with NPS, it falls into the promoter category, meaning users will recommend the application. These results show that the application can be accepted by users and is very good and above the established usability value standards. This research also produced 4 recommendations for improvement based on the results of questionnaire answers so that they can be used as evaluation for future application development.
Usability Testing pada Aplikasi Kas Berbasis Android dan Teknologi API menggunakan Metode System Usability Scale Al Muharom, Nurul Ibnu; Suarna, Nana; Dana, Raditya Danar
Jurnal Informatika Terpadu Vol 10 No 1 (2024): Maret, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i1.1099

Abstract

Cash management applications are used to store transaction data and create cash in and cash out reports that are more effective than using books. However, currently no usability testing has been carried out so it is quite difficult to determine future application development steps. The aim of this research is to measure the level of usefulness of an Android-based cash management application using the System Usability Scale (SUS) method, namely a 10-question Likert scale questionnaire distributed to respondents with the final result being a score of 0-100. The number of respondents was 15 people who were CV employees. Jaya Mukti. This test was carried out to determine the level of user convenience and satisfaction. The results of the research obtained a score of 84.7, this score shows a percentile level of 96%, Grade Scale A, Acceptability Ranges are in the Acceptable category, meaning acceptable, and the Adejctive Rating is in the Excellent category. If correlated with NPS, it falls into the promoter category, meaning users will recommend the application. These results show that the application can be accepted by users and is very good and above the established usability value standards. This research also produced 4 recommendations for improvement based on the results of questionnaire answers so that they can be used as evaluation for future application development.
Penerapan Algoritma Naive Bayes dalam Analisis Sentimen Ulasan Aplikasi KitaLulus di Google Play Store Nurrochmah, Dina Siti; Rahaningsih, Nining; Dana, Raditya Danar; Rohmat, Cep Lukman
Jurnal Informatika Terpadu Vol 11 No 1 (2025): Maret, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i1.1544

Abstract

Online job search applications are proliferating and are crucial for job seekers in Indonesia. As seen in Google Play Store reviews, KitaLulus, a leading platform, faces technical issues, unresponsive services, and limited job postings. This study analyzes user sentiment using the Naive Bayes algorithm. Data was collected from 1,000 reviews through web scraping between September and November 2024. The pre-processing steps included text cleaning, tokenization, stopword removal, and stemming. It classified reviews into positive, neutral, and negative sentiments. A confusion matrix evaluated the model using accuracy, precision, recall, and F1-score. Results showed positive reviews, but some users reported performance issues and limited features. The Naive Bayes model achieved 88% accuracy, 87% precision, 88% recall, and an 85% F1 score. This method efficiently processes extensive text data with lower computational costs than KNN and SVM. This research helps improve application development, enhance service quality, and expand sentiment analysis studies in IT. The findings will guide the creation of innovative strategies to benefit the community.
Co-Authors ., Mulyawan Abdul Ajiz, Abdul Abdul Koda Adbdul Muhyi Ade Awaludin Ade Irma Purnamasari Ade Rizki Rinaldi Agis Maulana Robani Ahmad Faqih Ahmad Rifai Ajiz, Abul Al Muharom, Nurul Ibnu Amalia, Dita Rizki Andi Andi Andri Yanto Angraeni, Devita Fitri Arianto , Adji Arif Rinaldi Dikananda Ayi Andini Az Zahroh, Luthfia Fahmi Azarine, Divia Azhari, Shazifa Bahrul Jawahir, Muhammad Cep Lukman Rohmat Dadang Sudrajat Danil, Supta Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dimin, Egi Susanto Dita Rizki Amalia Fadhil Muhamad Basysya Fadhil Muhammad Bsysyar Fadilah, Mochammad Fauzan Fathrurrahman Fatihanursari Dikananda Federicko Ramiro Firjatullah Fifia Nur Handayani Garsandi, Akmal Maulana Gifthera Dwilestari Hamonangan, Ryan Hamongan, Ryan Harry Budi Santoso Hayati, Umi Herawati Hermawan, Bagus Iin Iis Mulyati Irfan Ali Kamelia Faridah Kanda Muhamad Ishak Kaslani Kencana, Junaedi Surya Kharomiyah, Kharomiyah Lingga Sabdha Auraly Martanto Martanto . Mira Miranda Moch Rifki Firdaus Mulyawan Mulyawan Mulyawan, - Nana Suarna Narasati, Riri Narasati Nining Rahaningsih Nisa Dieanwati Nuris Nugraha, Syahrul Nurrochmah, Dina Siti Nurul Ibnu Al Muharom Octavia Ningrum, Eka Puspita Prasetia, Deni Primandani Arsi Rahmasari, Fanny Rahmat Mauludin Ramdhan, Dadan Rifa'i, Ahmad Riyandona, Siti Aiwastopa Rizkia Amelia Rohmat, Cep Lukman Roni Saputra, Roni Rudi Kurniawan Saeful Anwar Saeful Karim Siti Latifah Sri Muflikah Kurniarti Suarna, Nana Syafiq, Mohammad Sayyid Tati Suprapti Tohidi, Edi Unari, Ica Wahyu Saputra Willy Prihartono