Rancangan Desain Antarmuka Aplikasi Sewa Mobil Rental Jaya

Putri, R A Tania Eriezna; Rahmawati, Aniisah Eka; Maulana, Hendra

doi:10.36723/juri.v14i1.343

Cited by 5 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Scholoogy berbentuk website yang memadukan antara e-learning dengan media sosial (Aminoto & Pathoni, 2014). Aplikasi ini mudah digunakan dan konsepnya seperti pembelajaran di dalam kelas (Putri, Jampel, & Suartama, 2014)…”

Section: Pendahuluanunclassified

Peran Aplikasi Schoology dalam Pembelajaran Flipped Classroom pada Materi Teks Anekdot

Jayanti

Rahayuningsih

2020

JPE

View full text Add to dashboard Cite

Schoology Apps is a part of Learning Management System (LMS) that makes it easy for teachers and students to interact wherever and whenever in learning anecdote text. Anecdote text begins to be taught to high school students, especially the tenthgrade students in Curriculum 2013. The purpose of this study is to investigate the role of schoology apps to learn anecdote text in flipped classroom. This study is a library research that starts from 1) choosing a topic, 2) exploring information, 3) setting the focus of study, 4) preparing data sources, 5) preparing data presentation, and 6) preparing reports. This data is secondary data from national and international journals, Indonesian and international books. The data collection method uses the documentation method. Data validation technique uses data triangulation techniques. It is analyzed using a content analysis method. The results show that anecdote text materials are compiled into schoology apps and integrated with a flipped classroom model that refers to Bergmann & Sams theory. The conclusion of this study is that the schoology apps plays an important role in the flipped classroom, it can be seen from the use of schoology apps for students at home. When they are at home or anywhere in the sense of not being in the classroom learning, they can access the materials of anecdote text first. In addition, they can have direct discussion before the classroom learning begins through the schoology apps.

show abstract

Section: Pendahuluanunclassified

Peran Aplikasi Schoology dalam Pembelajaran Flipped Classroom pada Materi Teks Anekdot

Jayanti

Rahayuningsih

2020

JPE

View full text Add to dashboard Cite

show abstract

“…Metode ini me-rescal data dari suatu range ke range baru lain. Data diskalakan dalam range 0 dan 1 diberikan nilai yang bersesuaian dalam satu kolom [5].…”

Section: B Pendefinisian Masukan Dan Targetunclassified

“…Akurasi adalah perhitungan untuk dijadikan ukuran yang menyatakan seberapa akurat suatu hasil pengukuran sistem terhadap angka yang sebenarnya. Tingkat akurasi yang tinggi dari suatu sistem menunjukkan bahwa sistem tersebut memiliki hasil klasifikasi yang akurat [5].…”

Section: Gambar 3 Tampilan Confusion Matrixunclassified

Klasifikasi Penyakit Demam Menggunakan Jaringan Syaraf Tiruan Algoritma Backpropagation

Harahap

2023

J-IDS

View full text Add to dashboard Cite

Proses klasifikasi menggunakan komputer dapat diterapkan dengan menggunakan metode-metode klasifikasi salah satunya metode Jaringan Syaraf Tiruan dengan algoritma Backpropagation. Penerapan algoritma Backpropagation dalam Klasifikasi Penyakit Demam diawali dengan tahapan pelatihan pada data latih sebanyak 135 data, diperoleh variasi learning rate dan neuron hidden layer terbaik dengan cara trial dan error. Pengujian dilakukan pada data uji yaitu sebanyak 15 data, hasil pengujian berupa klasifikasi penyakit Demam yang dibandingkan hasilnya dengan target sebenarnya. Parameter- parameter optimal dalam klasifikasi penyakit Demam menggunakan metode Jaringan Syaraf Tiruan algoritma Backpropagation adalah neuron pada hidden layer sebanyak 29 neuron, nilai learning rate 0.1, nilai MSE mencapai target error sebesar 0.001 dengan menggunakan fungsi aktivasi sigmoid bipolar diperoleh tingkat akurasi 100%

show abstract

“…naïve bayes juga dapat memprediksi probabilitas keanggotaan suatu class yang memiliki kemampuan klasifikasi serupa. Keuntungan pendekatan metode ini akan mendapatkan nilai error yang lebih kecil dalam pengklasifikasian ketika data set berjumlah besar (Putri, Suparti, and Rahmawati 2014)…”

Section: Tahap Pemodelan Dan Pengujianunclassified

Heart Disease Classification Model in Level Ii Hospital Moh. Ridwan Meureksa Using Nave Bayes

Zamroni

Novitawati

Rahayu³

et al. 2022

j.nanotechnol.inf.

View full text Add to dashboard Cite

Heart disease is the number one cause of death in the world. Heart disease is a disease due to blockage of the heart's blood vessels which causes a disturbance in the balance between blood supply and demand. Level II Hospital Ridwan Meureksa is a hospital that provides inpatient, outpatient and emergency services. One of the services at the Level II Hospital Moh. Ridwan Meureksa is dealing with matters related to the human heart. In January 2021 to December 2021 at the Moh. Ridwan Meureksa the number of people with heart disease has increased and it is necessary to anticipate the increase in the future. This study aims to classify based on probability or probability from previous data, as well as obtain information about accuracy, precision and recall obtained when testing patient data using the Naive Bayes algorithm. The data used is medical record data of 3970 patients with heart disease cases. The results of the analysis show that symptoms of shortness of breath, rapid pulse, palpitations, weight loss, fever and decreased consciousness can be indicators for diagnosing heart disease. The results of this study are 99.7% and 98.7%, accuracy, 99.8% and 99.3%, precision and 99.8 % and 99.3%.recall.

show abstract

Rancangan Desain Antarmuka Aplikasi Sewa Mobil Rental Jaya

Cited by 5 publications

References 0 publications

Peran Aplikasi Schoology dalam Pembelajaran Flipped Classroom pada Materi Teks Anekdot

Peran Aplikasi Schoology dalam Pembelajaran Flipped Classroom pada Materi Teks Anekdot

Klasifikasi Penyakit Demam Menggunakan Jaringan Syaraf Tiruan Algoritma Backpropagation

Heart Disease Classification Model in Level Ii Hospital Moh. Ridwan Meureksa Using Nave Bayes

Contact Info

Product

Resources

About