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All Journal Jurnal Ilmiah FIFO SERVIRISMA: Jurnal Pengabdian kepada Masyarakat
Rita Wiryasaputra
Universitas Kristen Krida Wacana
Humanities Computer Science & IT Other

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Pemanfaatan Mean Stack Dalam Digitalisasi Administrasi Tugas Akhir Menggunakan Kombinasi Iteratif dan Scrum Model Nina Sevani; Rita Wiryasaputra; Jeremy Wijaya; Vini Janti Anggelica
Jurnal Ilmiah FIFO Vol 14, No 1 (2022)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2022.v14i1.002

Abstract

Citra suatu organisasi tercermin dari baiknya penyusunan administrasi organisasi yang melibatkan kepemimpinan, kebijakan, dan hubungan antar manusia. Kegiatan administrasi mencakup kegiatan pengendalian informasi yaitu tulis menulis/mencatat, menggandakan, menyimpan, dimana kegiatannya bertransformasi menjadi lebih praktis dan transparansi pada era digitalisasi. Program studi sebagai bagian dari perguruan tinggi menghadapi kompleksitas administrasi Tugas Akhir (TA) mahasiswa yang menimbulkan beberapa permasalahan antara lain human error, keberagaman formating berkas, komunikasi panjang dan koordinasi bertingkat antar unsur dalam perguruan tinggi jika proses administrasi tersebut dikerjakan secara manual. Permasalahan berdampak pada terganggunya pengambilan keputusan.  Akan tetapi hal tersebut dapat diminimalisir dengan pendigitalisasian administrasi TA mahasiswa berbasis web dengan teknologi MEAN (MongoDB, Express, Angular, dan NodeJS) stack menggunakan metodologi kombinasi antara Traditional Iterative model dengan Scrum model.  Pemanfaatan modern teknologi MEAN STACK mengakomodir administrasi TA sebagai sebuah SPA (Single-Page Application) yang menggunakan  bahasa pemrograman JavaScript baik dari client-side maupun server-side. Upaya ini dilakukan agar perangkat lunak yang dihasilkan dapat lebih adaptif atas perubahan sistem, namun biaya pengembangan terjangkau dan pengendalian dapat dilakukan pada setiap tahap secara transparan dalam sebuah tim kerja kecil.
Peningkatan Pola Berpikir Komputasi pada Siswa/i SMAK MATER DEI Melalui Bahasa Pemrograman Java dan Python Rita Wiryasaputra; Albert Salomo; Nina Sevani; Seruni
Servirisma Vol. 2 No. 2 (2022): Servirisma : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (949.039 KB) | DOI: 10.21460/servirisma.2022.22.28

Abstract

In this industrial era 4.0, the development of science, especially in the field of technology and information is growing rapidly. This requires every level of education in Indonesia to prepare students to move into the world of technology. Therefore, students must be equipped with an understanding of Computational Thinking (CT). CT is a method to train solving problems using several techniques in the field of computer science and informatics. With the application of CT, students are trained to think gradually, systematically, and creatively using computers and the internet. Through the application of this teaching, it’s hoped that it can advance the thinking of every student in Indonesia so that they can compete in the world of work later. Therefore, the Informatics Study Program, Faculty of Engineering and Computer Science, Krida Wacana Christian University, cooperates with SMAK Mater Dei by holding programming training in the form of extracurricular activities. This training takes place from 10 August 2021 to 9 November 2021. The training was held in 10 meetings which were divided into 3 phases, planning, implementation, and evaluation (finalization). The programming material includes Greenfoot IDE and Python programming language using several teaching methods. The measurement of student abilities will be tested using a pre-test and post-test model using several indicators. The assessment indicator used are the understanding of the algorithms and the ability to create simple programs using Greenfoot and Python. The training went well and students' understanding of Computational Thinking improved after the program was held.
Co-Authors Albert Salomo Jeremy Wijaya Nina Sevani Seruni Vini Janti Anggelica