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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of KNASTIK Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Jurnal Eksplorasi Karya Sistem Informasi dan Sains E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO Informatika Pertanian JUTEI (Jurnal Terapan Teknologi Informasi) International Journal of New Media Technology Media Ilmu Kesehatan Jurnal ULTIMA InfoSys Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Informatika CCIT (Creative Communication and Innovative Technology) Journal Jurnal Sistem informasi dan informatika (SIMIKA) IJITEE (International Journal of Information Technology and Electrical Engineering) Patria : Jurnal Pengabdian Kepada Masyarakat IAIC Transactions on Sustainable Digital Innovation (ITSDI) Prosiding Seminar Nasional Program Pengabdian Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Atma Inovasia Jurnal Pengabdian Teknik dan Ilmu Komputer (PETIK) GIAT: Teknologi untuk Masyarakat Jurnal Pengabdian Harapan Ibu (JPHI) SmartComp Jurnal Ilmiah Mahasiswa Fakultas Keperawatan JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rosa Delima
Informatika, Universitas Kristen Duta Wacana
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Journal : JUITA : Jurnal Informatika

 1 
Uji Usabilitas Sistem Jual Beli Produk Pertanian(Usability Testing for Agriculture Product Trading System) Joko Purwadi; Halim Budi Santoso; Argo Wibowo; Novia Indrayono Rante; Rosa Delima
JUITA : Jurnal Informatika JUITA Vol. 8 Nomor 2, November 2020
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1134.123 KB) | DOI: 10.30595/juita.v8i2.7255

Abstract

Sebuah proyek pengembangan perangkat lunak melalui banyak tahapan dimulai dari pendefinisian kebutuhan sampai dengan penerapan. Sebelum proses penerapan sistem, tim pengembang akan melakukan uji kebergunaan (usabilitas) terhadap aplikasi. Tahap ini sangat penting untuk menjamin agar proses implementasi dapat dilakukan dengan baik dengan minimalisasi permasalahan. Tahapan dalam penelitian meliputi studi pendahuluan, penentuan responden, pengembangan tools uji, pembuatan scenario tugas, pelaksanaan tes, analisis data, dan perumusan hasil. Uji dilakukan terhadap tiga puluh lima responden, tiga puluh responden merupakan pembeli dan penjual sementara lima responden sebagai admin pembeli dan penjual pada sistem. Pengujian dilakukan terhadap efisiensi dan efektifitas sistem. Efisiensi diukur melalui Time on Task Rate dan Number of Clicks Rate, sementara efektifitas diukur melalui Task Success Rate dan Error Rate. Berdasarkan hasil pengujian diketahui bahwa sistem cukup efisien dan memiliki efektifitas yang baik.
Goal-Oriented Requirements Engineering: State of the Art and Research Trend Rosa Delima; Retantyo Wardoyo; Khabib Mustofa
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1062.134 KB) | DOI: 10.30595/juita.v9i1.9827

Abstract

The Goal-Oriented Requirements Engineering (GORE) is one approach that is widely used for the early stages of software development. This method continues to develop in the last three decades. In this paper, a literature study is conducted to determine the GORE state of the art. The study begins with a Systematic Literature Review (SLR) was conducted to determine the research trend in the last five years. This study reviewed 126 papers published from 2016 to 2020.  The research continues with the author's search for scientific articles about GORE. There are 26 authors who actively publish GORE research results. Twenty-six authors were grouped into seven groups based on their relation or co-authoring scientific articles. An in-depth study of each group resulted in a holistic mapping of GORE research.  Based on the analysis, it is known that most research focuses on improving GORE for an automated and reliable RE process, developing new models/frameworks/methods originating from GORE, and implementing GORE for the RE process. This paper contributes to a holistic mapping of the GORE approach. Through this study, it is known the various studies that are being carried out and research opportunities to increase automation in the entire RE process.
Requirements Conflict Detection and Resolution in AREM Using Intelligence System Approach Rosa Delima; Retantyo Wardoyo; Khabib Mustofa
JUITA : Jurnal Informatika JUITA Vol. 10 No. 2, November 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1100.523 KB) | DOI: 10.30595/juita.v10i2.14855

Abstract

Requirements engineering (RE) is the process of defining user requirements that are used as the main reference in the system development process. The quality of the RE results is measured based on the consistency and completeness of the requirements. The collection of requirements from multiple stakeholders can cause requirements conflict and have an impact on the inconsistency and incompleteness of the resulting requirements model. In this study, a method for automatic conflict detection and resolution in the Automatic Requirements Engineering Model (AREM) was developed. AREM is a model that automates the process of elicitation, analysis, validation, and requirements specification. The requirement conflict detection method was developed using an intelligent agent approach combined with a Weighted Product approach. Meanwhile, Conflict resolution is made automatically using a rule-based model and clustering method. Testing the ability of the method to detect and resolve conflicting requirements was carried out through five data sets of requirements from five system development projects. Based on the test results, it is known that the system is able to produce a set of objects that have conflicts in the data requirements. For conflict resolution, experiments were conducted with five conflict resolution scenarios. The experimental results show that the method is able to resolve conflicts by producing the highest completeness value, but the results of conflict resolution also produce a number of soft goals. The success of the method in detecting and resolving conflicts in the model is able to overcome the problem of inconsistencies and incompleteness in the requirements model.
Application of the Minkowski Distance Similarity Method in Case-Based Reasoning for Stroke Diagnosis Angelina Rumuy; Rosa Delima; Kuncoro Probo Saputra; Joko Purwadi
JUITA: Jurnal Informatika JUITA Vol. 11 No. 2, November 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i2.18582

Abstract

A Stroke is a cerebrovascular disease characterized by impaired brain function due to damage or death of brain tissue caused by reduced or blocked blood and oxygen flow to the brain. Expert systems can be used as learning aids for medical students to diagnose stroke. Medical records of stroke cases can be reused as a reference for diagnosing stroke when there are new cases, known as the case-based reasoning (CBR) method. This study implements the Minkowski distance similarity method in CBR to calculate the similarity value between cases, where each similar case has the same solution. This study uses the Minkowski distance similarity method in CBR to obtain the most optimal value of r and the most appropriate threshold value in the expert system for stroke diagnosis. The diagnosis process is carried out by inputting the patient's condition, symptoms, and risk factors. Then the system will calculate the similarity value and take the case with the highest similarity value as the solution, providing that the similarity value must be greater than or equal to the threshold value. Based on system testing, the best accuracy value was achieved by applying a threshold value of 75 with an r value of 3 or 4, with an accuracy rate of 88,89%, a recall value of 88%, and a precision of 100%.
Co-Authors Abednego Kristiawan Takaredase Abednego Kristiawan Takaredase, Abednego Kristiawan Aditya Kurniawan Effendi Ahmad Ashari Ambar Kusuma Astuti Angelina Rumuy Anggita Irent Actaviana Anny Kartika Sari Antonius Rachmat Chrismanto Argo Wibowo Argo Wibowo Azhari Balisa, Delfia Bondan Palestin, Bondan Bonifatius Galih K Bramasti Pramudyawardani Bramasti Pramudyawardani Brasmati Pramudyawardani Budi Cahyo Saputro Daniel Walangare Dany Kurniawan Delfia Balisa Desyandri Desyandri Donsu, Jenita Doli Tine Erwin Prayoga Esa Rara Regina Eva Yuniritha, Eva Evanny Christianisa Fransica Octaviani S Gerry Herbiyan Aditya Gregorius Titis Indrajaya Gregorius Titis Indrajaya, Gregorius Titis Gunawan, Ivan Pradipta Gusti Ayu Kadek Tutik A. Halim Budi Santosa Halim Budi Santosa Halim Budi Santoso Hartono, Arfiananda Dhede Ignatia Dhian E.K.R. Ignatia Dhian E.K.R., Ignatia Dhian Irma Kharis Joko Purwadi Joko Purwadi Joko Purwadi Joko Purwadi Joko Purwadi Joko Purwadi Joko Purwadi Jong Jek Siang Jong Jek Siang Katon Wijana Katon Wijana Katon Wijana Khabib Mustofa Kristian Adi Nugraha Kuncoro Probo Saputra Lucia Dwi Krisnawati Lucky Herawati Lukas Chrisantyo Mardhani Riastiawan Matahari Bhakti Nendya Mau, Wilfridus Bau Meldy Saimon Pinontoan Mikhael Meier Nevi Kurnia Arianti Nevi Kurnia Arianti Novia Indrayono Rante Nugroho Agus Haryono Pinontoan, Meldy Saimon Putri Mayasari Putriana Kristanti Rachmah Rachmah Raden Gunawan Santosa Ratih Alfionita Restyandito Retantyo Wardoyo Sambo, Denis Irwanto Samuel Gandang Gunanto Sri Suwarno Steven Sanjaya Putra Sumolang, Philip Andrew Tanujaya, Yoel Theresia Herlina R. Umi Proboyekti Wahju Satria Wibowo Wisha Alvaliani Wirata Yuan Lukito Yusak Jefry Yuwanto