Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 621–630 dari 6334 artikel
Penentuan Metode Augmentasi pada CNN Berdasarkan Metode Optimasi Fox untuk Klasifikasi Citra Ikan
Wahyudi, Firman
; Nugraini, Siti Hadiati
; Soeleman, Arief
; Pramunendar, Ricardus Anggi
; Andono, Pulung Nurtantio
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Automatic identification of fish species plays an important role in various fields such as conservation biology, fisheries management, and biological research. The Convolutional Neural Network (CNN) method has become an effective solution for automating this process using digital images. However, achieving high accuracy requires careful consideration of factors such as the quantity and quality of data, image preprocessing methods, feature extraction techniques, classification algorithms, and opt...
Sumber Asli
Google Scholar
Penerapan Metode Double Moving Average Untuk Memprediksi Penjualan Tiket Bus Sinar Jaya Po Tambun
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The Sinar Jaya Autobus Company (PO) is one of the buses engaged in the tourism business that sells and provides community needs such as bus tickets. This PO requires forecasting in data processing to produce accurate reports. The reason for this is because PO Bus Sinar Jaya in determining the demand for bus tickets cannot predict availability. Based on these reasons, the design of this system uses the Double Moving Average (DMA) forecasting method for the forecasting process in determining the a...
Sumber Asli
Google Scholar
Implementasi Algoritma K-Nearest Neighbor Dalam Prediksi Penyakit Jantung
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Heart failure is a serious and pressing health problem that affects millions of people worldwide. Several factors influence the occurrence of heart failure, such as age, type of pain, blood pressure, cholesterol levels, and other risk factors associated with heart disease. With current technological developments, data mining and machine learning can be used to predict patient health conditions. Therefore, the problem of this research is how to implement data mining techniques for identifying hea...
Sumber Asli
Google Scholar
Integrasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Pendukung Keputusan Penentuan Asisten Dosen
Muthmainnah, Aindri Rizky
; Pamput, Jessicha Putrianingsih
; Adiba, Fhatiah
; Surianto, Dewi Fatmarani
; Nasrullah, Asmaul Husnah
; Budiarti, Nur Azizah Eka
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The selection of teaching assistants requires an objective and effective decision-making system. This study designs a decision support system for selecting assistants in the Algorithm and Basic Programming course at JTIK, Universitas Negeri Makassar, by integrating the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. WP assigns weights to evaluation criteria, while TOPSIS identifies the best candidates based on positive and negative ideal...
Sumber Asli
Google Scholar
Perbandingan Apache Airflow dan Apache Spark dalam Proses ETL untuk Memprediksi DropOut dan Keberhasilan Akademik Mahasiswa
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Dropout prediction in higher education is important because it impacts the academic success of students and the overall effectiveness of educational institutions. This research aims to build an automated ETL pipeline using Apache Airflow and Apache Spark to process academic data and predict student graduation status. The dataset used consists of 4,424 samples with 36 features covering demographic, academic, and socio-economic attributes. The data is processed through the stages of extraction, tr...
Sumber Asli
Google Scholar
Deteksi Jenis Jerawat Berbasis Android menggunakan Ensemble Deep Learning dengan Optimasi Layer Parsial
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Accurate classification of acne types is essential for determining the appropriate treatment. This study developed an automatic detection system based on Android using an ensemble Deep Learning approach and partial layer optimization to address the visual similarity challenges among different acne types. MobileNet and EfficientNetB0 were used as base models, then combined using majority voting and weighted averaging techniques. The dataset used consisted of 6,875 acne images that underwent prepr...
Sumber Asli
Google Scholar
Enhancing Learning Outcomes Through the Development of Project-Based Student Worksheet for Class XI MIPA Students in Science Subjects
Radiasi: Jurnal Berkala Pendidikan Fisika
Vol 18
, No 2
(2025)
This research was motivated by some students who said that physics is not fun. Students expect physics learning to be equipped with a practicum directly according to the material to be studied. To create a good interaction, creativity between students is necessary. One of them is by developing teaching materials in the form of PjBL-based LKPD for class XI MIPA students. The PjBL-based learning model actively engages students to develop their own knowledge and includes group work to create projec...
Sumber Asli
Google Scholar
DOI
The physicochemical properties, bioactive composition, bioactivity, and food innovation based on Flacourtia inermis fruit: A narrative literature review
Witoyo, Jatmiko Eko
; Alvianto, Dikianur
; Permatasari, Nelsy Dian
; Utoro, Panggulu Ahmad Ramadhani
Journal of Food and Agricultural Product
Vol 5
, No 2
(2025)
Flacourtia inermis fruit, locally known as lobi-lobi fruit, is one of Indonesia's rare local fruits, rich in nutritional and bioactive compounds. However, the physical-chemical characteristics, bioactive composition, bioactivity, and food innovations based on the lobi-lobi fruit have not yet been comprehensively explored. So, the objective of this article is to provide a comprehensive overview of the physical-chemical characteristics, bioactive composition, bioactivity, and food innovations base...
Sumber Asli
Google Scholar
DOI
PENGARUH LATIHAN FARTLEK TERHADAP PENINGKATAN VO2MAX PADA MAHASISWI PRODI NERS TINGKAT 1 STIKES SANTA ELISABETH MEDAN TAHUN 2024
JURNAL KEPERAWATAN SISTHANA
Vol 10
, No 2
(2025)
Latihan fartlek merupakan salah satu latihan lari bervariasi yang berfokus pada kecepatan untuk meningkatkan daya tahan jantung dan paru, diantaranya adalah VO2max (volume oksigen maksimal).VO2max merupakan jumlah maksimal oksigen yang dapat dikomsumsi seseorang selama melakukan aktivitas fisik yang intens sampai akhirnya terjadi kelelahan, Kurangnya aktivitas fisik sangat mempengaruhi kebugaran tubuh seseorang yang berhubungan dengan kadar VO2max dalam tubuh. Disebut juga sebagai kekuatan aerob...
Sumber Asli
Google Scholar
DOI
Analisis Dampak Pembelajaran Sistem Online Learning Pada materi Biologi
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 1
, No 2
(2025)
Abstrak – Pademi covid-19 telah mengganggu proses pembelajaran secara konvensional. Maka diperlukan solusi untuk menjawab permasalahan tersebut. Pembelajaran secara daring adalah salah satu alternatif yang dapat mengatasi masalah tersebut. Tujuan penelitian adalah untuk memperoleh analysis pengaruh pelaksanaan pembelajaran daring materi biologi di SMA N 1 Kejobong Kabupaten Purbalingga sebagai upaya menekan penyebaran covid-19. Subjek penelitian adalah siswa SMA N 1 Kejobong Kabupaten Purbalingg...
Sumber Asli
Google Scholar
DOI