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All Journal Best : Journal of Applied Electrical, Science and Technology Jurnal Ilmiah Teknologi Informasi dan Robotika Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Ilmiah Teknik Informatika dan Komunikasi
Annisa Lusyani Zahra
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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PERANCANGAN SISTEM INFORMASI E-LEARNING BERBASIS WEB DI MI NARRATIVE QURAN Sesilia Tiara Rahayu Ada; Annisa Lusyani Zahra; Ratih Aisyah; Seftin Fitri Ana Wati
Jurnal Ilmiah Teknologi Informasi dan Robotika Vol 4 No 1 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifti.v4i1.86

Abstract

Proses belajar mengajar di MI Narrative Quran masih secara konvensional sehingga pemahaman siswa dalam memahami materi terhambat, menyebabkan proses belajar mengajar belum tercapai. Dalam mengatasi permasalahan tersebut, perancangan E-Learning merupakan solusi untuk pembaharuan fitur yang tidak terdapat pada E-Learning sebelumnya yang masih belum dapat digunakan dengan secara maksimal seperti tidak terdapatnya fitur pemberian materi, tugas, dan lainnya.Perancangan ini bertujuan untuk tercapainya pembelajaran di MI Narrative Quran, mempermudah guru dan siswa ketika proses belajar mengajar berlangsung secara online. Perancangan sistem informasi E-Learning berbasis Web ini menggunakan metode ICONIX Process. ICONIX Proses menggunakan pendekatan gabungan dari semua bagian Rational Unified Process (RUP) dan eXtreme Programming (XP) yang tidak berlebihan tetapi tanpa mengabaikan analisis dan desain yang proses dengan metode ini menghasilkan kebutuhan fungsional dan non fungsional, graphical user interface, use case diagram, domain model, robustness diagram, sequence diagram, dan class diagram.
THE DESIGN OF A WEB-BASED INFORMATION SYSTEM AT MI NARRATIVE QURAN Sesilia Tiara Rahayu Ada; Annisa Lusyani Zahra; Ratih Aisyah; Seftin Fitri Ana Wati
Jurnal Ilmiah Teknologi Informasi dan Robotika Vol. 4 No. 1 (2022): Jurnal Ilmiah Teknologi Informasi dan Robotika
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifti.v4i1.86

Abstract

Proses belajar mengajar di MI Narrative Quran masih secara konvensional sehingga pemahaman siswa dalam memahami materi terhambat, menyebabkan proses belajar mengajar belum tercapai. Perancangan E-Learning merupakan solusi untuk pembaharuan fitur yang tidak terdapat pada E-Learning sebelumnya seperti fitur pemberian materi, tugas, dan lainnya. Perancangan ini bertujuan untuk tercapainya pembelajaran di MI Narrative Quran, mempermudah guru dan siswa ketika proses belajar mengajar berlangsung secara online. Perancangan sistem informasi E-Learning berbasis Web ini menggunakan metode ICONIX Process. ICONIX Proses menggunakan pendekatan gabungan dari semua bagian Rational Unified Process (RUP) dan eXtreme Programming (XP) yang tidak berlebihan tetapi tanpa mengabaikan analisis dan desain yang proses dengan metode ini menghasilkan kebutuhan fungsional dan non fungsional, graphical user interface, use case diagram, domain model, robustness diagram, sequence diagram, dan class diagram.
ANALISIS USER EXPERIENCE PENGGUNA APLIKASI NEOBANK BERDASARKAN ALAT UKUR HEART METRICS Ratih Aisyah; Annisa Lusyani Zahra; Dwi Shahita; Wafi Hidayatullah
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 1 (2023): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.069 KB) | DOI: 10.55606/juprit.v2i1.1006

Abstract

Based on the accumulated reviews, it is known that the symptoms of disrupted user experience are supported by several reviews which show dissatisfaction in operating the Neobank application, which may have an effect on decreasing user satisfaction. This problem is something that must be monitored by PT. Neo Commerce Bank so that the Neobank application remains sustainable. This research has a mission to find out what will be emphasized for the development of the Neobank application based on the HEART Metrics measurement tool with the method implemented is Importance Performance Analysis. Determining the number of respondents in this study implemented the formula created by Slovin and obtained a population of 99 respondents who are residents of the island of Java who use the Neobank application. Until the results of the importance and performance elaboration, there are several statement items that need to be evaluated, but there are items that need to be evaluated and prioritized immediately based on the results of the calculation of the suitability level and Cartesian diagram, namely the user experience that it is not uncommon to experience errors when operating a Neobank with a level conformity 91.91%. The items in the aforementioned statement have the potential to divert the user experience in using the Neobank application.
User Experience Analysis of Neobank Application Using Heart Metrics Ratih Aisyah; Annisa Lusyani Zahra; Wafi Hidayatullah; Dwi Shahita
BEST Vol 5 No 2 (2023): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol5.no2.6673

Abstract

Based on the accumulated reviews, it is known that the symptoms of disrupted user experience are supported by several reviews which show dissatisfaction in operating the Neobank application, which may have an effect on decreasing user satisfaction. This problem is something that must be monitored by PT. Neo Commerce Bank so that the Neobank application remains sustainable. This research has a mission to find out what will be emphasized for the development of the Neobank application based on the HEART Metrics measurement tool with the Importance Performance Analysis method implemented. Determining the number of respondents in this study implemented the formula created by Slovin and obtained a population of 99 respondents who are residents of the island of Java who use the Neobank application. Until the results of the importance and performance elaboration, there are several statement items that need to be evaluated, but there are items that need to be evaluated and prioritized immediately based on the results of the calculation of the suitability level and Cartesian diagram, namely the user experience that it is not uncommon to experience errors when operating a Neobank with a level conformity 91.91%. The items in the aforementioned statement have the potential to divert the user experience in using the Neobank application.
Implementasi Arsitektur CNN DenseNet-121 untuk Identifikasi Autoimun Kulit dengan Augmentasi Data Annisa Lusyani Zahra; Amalia Anjani Arifiyanti; Tri Luhur Indayanti Sugata
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i2.1026

Abstract

Autoimmune skin diseases are conditions in which the immune system mistakenly attacks healthy skin tissue, causing inflammation, tissue damage, and changes in skin color. The similarity of symptoms among various autoimmune skin diseases, such as psoriasis, lichen planus, vitiligo, hidradenitis suppurativa, and dermatomyositis, presents a challenge for accurate and timely diagnosis. This study was conducted to support the diagnostic process by utilizing deep learning technology, specifically the Convolutional Neural Network (CNN) method with the DenseNet121 architecture. Data augmentation techniques were also applied in this study to increase dataset variation, allowing for a performance comparison between the original dataset and the augmented dataset. The results show that the CNN model with the DenseNet121 architecture, configured with a batch size of 32 and 60 epochs on the augmented dataset, achieved a high accuracy rate of 92.43%. The model was then implemented into a web-based application and integrated using the Flask framework.
Co-Authors Amalia Anjani Arifiyanti Dwi Shahita Ratih Aisyah Seftin Fitri Ana Wati Sesilia Tiara Rahayu Ada Tri Luhur Indayanti Sugata Wafi Hidayatullah