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All Journal JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Jurnal Informatika Polinema (JIP) Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Yovi Litanianda
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Social Sciences

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Implementasi Sistem Administrasi Sekolah Berbasis ICT Adi Fajaryanto Cobantoro; Yovi Litanianda; Ellisia Kumalasari
JPMB : Jurnal Pemberdayaan Masyarakat Berkarakter Vol 2 No 2 (2019): Agustus-Desember
Publisher : Pusat Penelitian dan Pengembangan Rekarta Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36765/jpmb.v2i2.11

Abstract

Abstrak: Tujuan kegiatan pengabdian ini adalah untuk: (1) mewujudkan rancangan desain aplikasi sekolah berbasis web dengan memanfaatkan desain konseptiual dan interface; (2) membangun aplikasi perangkat lunak sekolah berbasis web, yang akan membantu sekolah dalam hal surat menyurat di lingkungan SDN 1 Tahunan. Hasil akhir dari kegiatan pengabdian masyarakat ini adalah: (1) terciptanya suatu model desain konseptual dengan menggunakan Diagram Arus Data (DAD); (2) terbangunnya suatu sistem administrasi sekolah berbasis web, dengan menggunakan database mysql dengan bahasa pemrogram web, sehingga akan memudahkan komunikasi sekolah dalam mengakses informasiAbstarct: The objectives of community service activities are to: (1) build a web-based school information system architecture using conceptual and interface design; (2) build a web-based school information system, which will assist schools in terms of school data reporting. The final results of this community service activity are: (1) the creation of a conceptual design model using Data Flow Diagrams (DAD); (2) the development of a web-based school information system, using the MySQL database with a web programming language, so that it will facilitate school communication in accessing information and policy making for the principal.
Penerapan Fuzzy K-Nearest Neighbor untuk Diagnosa Penyakit Kulit pada Kucing Fannisa Tiara Salsabila; Khoiru Nurfitri; Yovi Litanianda
Jurnal Informatika Polinema Vol. 10 No. 1 (2023): Vol 10 No 1 (2023)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i1.1424

Abstract

Kucing adalah hewan populer yang sering dijumpai dan dipelihara oleh manusia. Meskipun demikian, kucing adalah hewan yang mudah terkena serangan bakteri, virus, maupun parasit yang menjadi sumber penyakit. Salah satunya adalah penyakit kulit. Berbagai macam penyakit kulit yang menyerang kucing terdapat kemiripan gejala yang sulit diidentifikasi misalnya kerontokan bulu dan menggaruk badan. Hal tersebut mengakibatkan orang awam, khususnya pemilik kucing kesulitan dalam menentukan penyakit yang diderita hewan peliharaannya. Kekeliruan dalam penanganan atau pengobatan penyakit dapat memperparah kondisi kucing. Apabila penyakit kulit sudah menyerang 40% bagian tubuh, maka kucing dapat mengalami infeksi sekunder. Sistem pakar dapat diterapkan pada kasus ini sebagai alat bantu untuk diagnosa penyakit kulit kucing berdasarkan masukan berupa gejala-gejala oleh pemilik kucing. Metode yang digunakan adalah Fuzzy K-Nearest Neighbor. Sistem yang dibangun berbasis website menggunakan bahasa pemrograman PHP dan memanfaatkan database MySQL. Penelitian ini menggunakan 15 gejala dan 5 penyakit. Penelitian ini menggunakan data berjumlah 130 data latih dan 15 data uji menghasilkan tingkat akurasi sebesar 93% dan presisi yang baik karena menghasilkan diagnosa yang konsisten pada percobaan berulang.
Peningkatan Kualitas Pembelajaran Pengolahan Citra Digital Pada Program Studi Teknik Informatika Menggunakan Model Problem Based Learning Mila Nurjanah; Yovi Litanianda
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i3.125

Abstract

This research explores the application of the Problem-Based Learning (PBL) model to improve the quality of digital image processing learning in the Informatics Engineering Study Program. Through in-depth interviews, observations, and document analysis, this research shows that PBL has a positive impact on students' conceptual understanding, technical skills, and involvement in the learning process. Nevertheless, challenges such as planning relevant learning problems and evaluating the learning process were also identified. Support and training are needed for lecturers to overcome these challenges. These findings provide valuable insights for the development of problem-based teaching practices in the context of digital image processing.
Pengujian Usabilitas Pada Penggunaan Platform Scratch Zakia Access Asmaul Khusna; Yovi Litanianda
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.107

Abstract

This research tests the usability of the platform on new students of Informatics Engineering. Usability of is measured through three main variables: effectiveness, efficiency, and user satisfaction. Data was collected through pre-test and post-test involving 20 respondents using questionnaires and practical tasks. 20 respondents using questionnaires and practical tasks. The results of the study showed that the effectiveness and efficiency of the Scratch platform increased significantly from the pre-test to the post-test, reaching a level of effectiveness and efficiency, showing that the time required to complete programming tasks is reduced once users are familiar with the platform. User satisfaction also increased, with the majority of respondents feeling more comfortable and interested in using Scratch after testing. This research concludes that the Scratch platform is effective and efficient as a programming learning tool for new Informatics Engineering students.
Klasifikasi Jenis Jamur Edible Menggunakan Convolutional Neural Network: Studi Kasus pada Jamur Tiram, Enoki, dan Truffle Devitha Ratu Alamsyach; Yovi Litanianda
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.183

Abstract

This study uses a Convolutional Neural Network (CNN) to develop a mushroom type classification model that can differentiate between truffles, enoki and oyster mushrooms very accurately. The dataset consisting of mushroom images is collected from various sources and processed through data augmentation techniques such as rotation, zoom, flip, and shifting to improve model generalization. For final classification, the CNN model used consists of several convolution and pooling layers, followed by a dense layer. The study results show that this model has a validation accuracy of 79.31% after twenty training epochs. Although there were some misclassifications between oyster and enoki mushrooms, data augmentation techniques were shown to improve model performance. This research shows that CNN can be used effectively to classify various types of fungi. This also shows that CNN has many potential applications in the agricultural and food industries. Increasing datasets, studying more complex model architectures, and using advanced data augmentation methods such as Generative Adversarial Networks (GANs) are some suggestions for further research.
Peningkatan Kualitas Pembelajaran Pengolahan Citra Digital Pada Program Studi Teknik Informatika Menggunakan Model Problem Based Learning Mila Nurjanah; Yovi Litanianda
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.219

Abstract

This research explores the application of the Problem-Based Learning (PBL) model to improve the quality of digital image processing learning in the Informatics Engineering Study Program. Through in-depth interviews, observations, and document analysis, this research shows that PBL has a positive impact on students' conceptual understanding, technical skills, and involvement in the learning process. Nevertheless, challenges such as planning relevant learning problems and evaluating the learning process were also identified. Support and training are needed for lecturers to overcome these challenges. These findings provide valuable insights for the development of problem-based teaching practices in the context of digital image processing.
Co-Authors Adi Fajaryanto Cobantoro Devitha Ratu Alamsyach Ellisia Kumalasari Fannisa Tiara Salsabila Khoiru Nurfitri Mila Nurjanah Zakia Access Asmaul Khusna