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All Journal IJCIT (Indonesian Journal on Computer and Information Technology) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM
Insan Taufik
Universitas Negeri Medan
Arts Humanities Computer Science & IT Social Sciences

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Rancang Bangun Media Praktikum Bahasa Pemrograman Berbasis Web Insan Taufik; Kana Saputra S; Debi Yandra Niska
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 6, No 1 (2021): IJCIT - Mei 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.609 KB) | DOI: 10.31294/ijcit.v6i1.10487

Abstract

Mengajar matakuliah yang berkaitan dengan Bahasa Pemrograman tidak sama seperti mengajar matakuliah teori atau praktik pada umumnya. Saat di dalam kelas, dosen sering berkeliling menjumpai mahasiswa satu per satu untuk mengamati, menerima keluhan, dan mengoreksi kode program yang dibuat oleh mahasiswa, sehingga waktu untuk praktikum banyak terpakai oleh dosen untuk kegiatan berkeliling dan menjadi tidak efisien untuk proses belajar mengajar. Kesulitan itu juga sangat dirasakan mahasiswa saat pembelajaran dilakukan secara daring (online) akibat pandemic Covid-19. Penelitian ini bertujuan untuk membuat media praktikum berbasis web yang dapat memudahkan mahasiswa dan dosen dalam belajar Bahasa Pemrograman secara daring (online). Model pengembangan menggunakan waterfall yang terdiri dari analisis kebutuhan, desain, pembuatan kode program, pengujian, dan pemeliharaan. Hasil Penelitian menunjukkan bahwa media praktikum Bahasa Pemrograman berbasis web dapat digunakan sebagai opsi dalam pembelajaran bahasa pemrograman tertentu secara daring (online). Teaching programming languages courses is not the same as teaching theoretical or practical courses in general. Lecturers often go around to meet students one by one to serve, receive complaints, and correct program codes made by students. Therefore, a lot of time during the practicum class is used for traveling activities and it becomes inefficient for the learning process. Students also felt this difficulty when doing online learning process because the Covid-19 pandemic. Based on these problems, this study aims to create a web-based practicum media that can make it easier for students and lecturers to learn programming language. This research uses the development of waterfall model which consists of needs analysis, design, programming, testing, and maintenance. The result obtained, the web-based programming language practicum media can be used as an option in learning certain programming languages (online).
DESIGN AND IMPLEMENTATION OF WEB BASED INFORMATION SYSTEM FOR THE THESIS DEFENSE SCHEDULE AND ASSESSMENT Kana Saputra S; Insan Taufik; Debi Yandra Niska
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.541 KB)

Abstract

Implementation of information system of academic especially in scheduling and assessment for online thesis defense is needed. This is because the implementation of thesis defense must be carried out online to avoid the possibility of spreading Covid-19. Therefore, The aims of this study to develop web-based information system for the thesis defense schedule and assessment. The development of information systems uses the waterfall model which consists of 5 steps are user requirement, system design, development, testing, and maintenance. The result of implementation show that web-based information system for the thesis defense schedule and assessment running well according to purpose and need assessment. The information system also can used for interaction between lecturers and students as long as the thesis process and defense don’t need to be done offline.
E-umkm sebagai Upaya Peningkatan Ekonomi Usaha Bihun Ubi Kayu di Desa Melati II Kabupaten Serdang Bedagai Insan Taufik; Kana Saputra S; Dinda Kartika; Debi Yandra Niska; Fevi Rahmawati Suwanto
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 5 No. 2 (2022): Nopember: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/abdimas.v5i2.3006

Abstract

Promosi sebagai satu dari empat unsur utama dalam menciptakan bauran pemasaran berperan penting agar hasil produksi dikenal bahkan dibeli oleh konsumen. Dengan adanya perkembangan teknologi, strategi pemasaranpun kini mulai mengalami pergeseran dari konvensional menjadi pemasaran melalui internet. Meskipun demikian, masih banyak ditemukan pelaku usaha khususnya usaha mikro yang belum mampu memasarkan produknya melalui internet. Salah satunya adalah mitra dalam kegiatan Program Kemitraan Masyarakat (PKM) ini, yaitu usaha bihun ubi kayu di Desa Melati II, Kecamatan Perbaungan, Kabupaten Serdang Bedagai. Pemasaran belum dilakukan secara langsung oleh pemilik usaha, melainkan hanya bergantung pada agen terbatas yang mendatangi dan membeli langsung bihun ke rumah produksi. Sebagai solusi bagi mitra sekaligus dukungan terhadap Usaha Mikro, Kecil, dan Menengah (UMKM) dalam rangka membangun perekonomian daerah, kegiatan ini telah menghasilkan media promosi berbasis web yang gratis yaitu e-umkm. Dengan adanya media tersebut, pemilik usaha bihun ubi kayu bahkan pemilik usaha lainnya yang datanya telah terdaftar dapat memasarkan produknya sendiri secara luas.
Penerapan Algoritma Convolutional Neural Network Untuk Menentukan Retinopati Hipertensi Melalui Citra Retina Fundus Kana Saputra S; Insan Taufik; Debi Yandra Niska; Raiyan Fairozi; Mhd Hidayat; Mohammed Hafizh Al-Areef
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4307

Abstract

Hypertension is a disease that spreads in the human body caused by increased blood pressure that exceeds normal limits. The increase occurs over a long period, causing complications in human organs that cannot be seen clearly, such as complications in the heart, kidneys, brain, and retina. One of the disorders or complications of high blood pressure is in the retina. The disorder in the retina can also be said as hypertensive retinopathy. Patients suffering from hypertensive retinopathy can only be diagnosed by an ophthalmologist; this is because hypertensive retinopathy cannot be seen with the naked eye. However, one of the earliest signs is the thinning of the arterioles, which can cause blindness. Therefore, computer-assisted processing and analysis of eye fundus images to identify hypertensive retinopathy is an important thing to do by applying the Convolutional Neural Network algorithm. There are nine Convolutional Neural Network architectures used, namely AlexNet, DenseNet, Inception-V3, InceptionResNetV2, Lenet-5, MobileNetV2, ResNet50, VGG16, and VGG19. Based on the experimental results, it was found that of the nine Convolutional Neural Network architectures, two of them, namely AlexNet and Lenet-5, obtained an F1 Measure value of 0.66 and the highest accuracy of 0.67.
Co-Authors Debi Yandra Niska Dinda Kartika Fevi Rahmawati Suwanto Kana Saputra S Mhd Hidayat Mohammed Hafizh Al-Areef Raiyan Fairozi