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All Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi El-Mujtama: Jurnal Pengabdian Masyarakat
Umi Sa'adah
Politeknik Elektronika Negeri Surabaya
Religion Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Social Sciences

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Pengembangan Aplikasi People Management dalam Software Development dengan Pendekatan Project Management Antipatterns Reza Aprillia Arshanty; Umi Sa'adah; Desy Intan Permata Sari; Maulidan Bagus Afridian Rasyid
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 4: November 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1752.329 KB) | DOI: 10.22146/jnteti.v9i4.461

Abstract

Human factor in software development process is one of the determinants of success of a project, regardless of the technology and tools used. In practice, many project managers do not have any dataset about hard skills and soft skills of their members. This led the software development project team to be trapped in an antipatterns irrational management situation. Based on several main factors that cause software development project failures, a mitigation plan is needed to assist the project manager in managing human resources in their team. The mitigation plan that can be done is to develop people management applications based on principles of Project Management Antipatterns. This research proposes new modeling in the form of applications for people management in software development with the Project Management Antipatterns approach. The results given are in the form of mapping the developer team to the relevant task based on hard skills and soft skills possessed. Besides, this application also provides results in the form of treatment recommendations that can be done to the team to increase productivity and reduce the potential risks arising from the diagnosis of poor practice. The approach used is proven to be able to increase overall team productivity. The refactored solution also proved effective in reducing the value of antipatterns from one sprint to the next.
Penerapan Aplikasi Klasifikasi Hukum Tajwid Menggunakan Image Processing Fabyan Kindarya; Entin Martiana Kusumaningtyas; Aliridho Barakbah; Desy Intan Permatasari; M. Udin Harun Al Rasyid; Nana Ramadijanti; Arna Fariza; Iwan Syarif; Umi Sa'adah; Ferry Astika Saputra; Ahmad Syauqi Ahsan; Irwan Sumarsono; Andhik Ampuh Yunanto; Renovita Edelani; Grezio Arifiyan Primajaya; Selvia Ferdiana Kusuma
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 4 No. 2 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i2.1930

Abstract

Tajwid is an important science that regulates the way of reading the verses of the Al-Qur’an properly. Learning Tajwid means knowing the meaning that corresponds to the correct recitation. Learning to read the Al-Qur’an tends to be done traditionally in a place of learning or by calling a teacher to the house. Learning in this way has some drawbacks, such as the limited availability of trained and competent teachers because not all areas have sufficient access to these teachers. Dependence on schedules and locations can be a constraint for students with limited mobility or busy schedules. The role of the teacher is still important in learning tajwid, especially in providing effective explanations, guidance, and feedback. However, to overcome these shortcomings, integration with independent and technology-based learning methods can help improve the accessibility, flexibility, and quality of tajwid learning. The classification of tajwid laws using image processing allows users to see the results of inputting images of verses of the Al-Qur’an into the type of detected nun sukun tajwid and how to recite it. The initial stage of this system in detecting tajwid laws from uploaded images is the input of images by users, which can be done in two ways, namely by directly taking pictures using a smartphone camera or uploading images from the gallery. This is followed by the OCR process to detect the Arabic text contained in the image and provide diacritics for that Arabic text. Finally, letter classification is carried out after nun sukun and classification of tajwid laws contained in accordance with the detected letters after nun sukun. This system has an accuracy rate of 92.18% from the classification results that have been carried out.
Co-Authors Ahmad Syauqi Ahsan Ali Ridho Barakbah Andhik Ampuh Yunanto Arna Fariza Desy Intan Permata Sari Desy Intan Permatasari Entin Martiana Kusumaningtyas Fabyan Kindarya Ferry Astika Saputra Grezio Arifiyan Primajaya iwan Syarif M Udin Harun Al Rasyid, M Udin Harun Maulidan Bagus Afridian Rasyid Nana Ramadijanti Renovita Edelani Reza Aprillia Arshanty Selvia Ferdiana Kusuma Sumarsono, Irwan