Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal SKANIKA: Sistem Komputer dan Teknik Informatika ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Jurnal Abdimas Bina Bangsa Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Telematika MKOM
Purwanto Purwanto
Teknik Informatika, Fakultas Teknologi Informasi, Universitas Budi Luhur, DKI Jakarta, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
PELATIHAN PEMBUATAN DESIGN LANDING PAGE CANVA UNTUK MENDUKUNG PENJUALAN UMKM DI KECAMATAN PESANGGRAHAN JAKARTA SELATAN Purwanto Purwanto; Rusdah Rusdah; Indra Nugraha; Yulianawati Yulianawati; Sri Wahyuningsih
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.744

Abstract

The majority of MSME actors in Pesanggrahan sub-district, South Jakarta are mothers who do not work and have no other activities apart from being housewives. Usually they have businesses other than being housewives, namely producing food, drink and handicraft products. The majority of these mothers do not have sufficient education to start an entrepreneur. Marketing is only carried out traditionally or conventionally in the area, so that most of the products are only sold in the area where they live. To make their business grow, they need to promote the products they have produced so that these products can be marketed widely. The aim of this training program is to provide knowledge and business skills to business actors while utilizing the Canva application to promote online, so that MSME products can successfully enter every market in Indonesia. The training material explains how to create a landing page design using the Canva application using a smartphone. Most of the MSME mothers do not understand and master the use of smartphones and are included in the group of people who are unable to use technology, so the team of lecturers from Budi Luhur University who in this case participate as companions for the mothers in supporting them to expand their business by providing training on creating Canva landing page designs. Training is carried out face-to-face at the Computer Laboratory of Budi Luhur University. In this training, participants directly practice in front of a computer and also use the smartphone they own. At the end of the training session participants were asked to fill out a questionnaire containing the results of the training they attended. From the evaluation results, 100% of the training participants stated that the training material would be useful in the future and 82.6% stated that the resource persons/facilitators presented material that was easy for the participants to understand
PREDIKSI PERFORMA PESEPAKBOLA PADA KOMPETISI LIGA CHAMPIONS EROPA 2021 MENGGUNAKAN ALGORITME DECISION TREE CLASSIFIER Ismoyo, Maret; Syafrullah, Mohammad; Purwanto, Purwanto; Painem, Painem
Telematika MKOM Vol 15, No 2 (2023): Jurnal Telematika MKOM Vol. 15 No. 2 September 2023
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/telematikamkom.2677

Abstract

Sepakbola merupakan salah satu olahraga paling terkenal dengan jumlah penggemar terbanyak di seluruh dunia. Selain itu, dalam dunia Sepakbola terdapat berbagai kompetisi yang diikuti oleh banyak pesepakbola profesional. Oleh karena itu, terdapat minat yang cukup besar dari berbagai pihak (internal maupun eksternal) untuk mengevaluasi atau mengukur performa para pesepakbola yang bertanding. Dalam mengevaluasi pemain, beberapa faktor kompleks dapat mempengaruhi staf pelatih dalam menilai pemain. Selain itu, pihak lain juga masih jarang melakukan penelitian terkait prediksi performa pesepakbola. Masalah prediksi tersebut karena membutuhkan pengetahuan dan penggunaan indikator data sesuai dengan topik penelitian tentang prediksi performa atlet sepakbola yang akan dilakukan. Untuk mengatasi permasalahan tersebut, dibutuhkan sebuah sistem prediksi yang dapat memprediksi performa pemain dengan menggunakan metode Decision Tree Classifier dimana metode ini mengklasifikasikan data menjadi tiga kelas. Data yang digunakan sebanyak 876 data yang terbagi menjadi data training dan testing dengan tiga kelas performa pemain yaitu Bad, Normal dan Good. Hasil penelitian ini menunjukkan akurasi terbaik diperoleh dengan perbandingan data 80% : 20%, dengan menggunakan nilai parameter max_depth = 6 dan max_leaf_nodes = 4. Hasil penelitian ini menghasilkan nilai akurasi sebesar 97.73%. nilai presisi sebesar 97.76%. nilai recall sebesar 97.73%. nilai skor F1 sebesar 97.74% dan tingkat kesalahan 2.27%.
Co-Authors Denny Aris Setiawan Dwi Achadiani Dwika Arief Prasada Erick Erwin Nylis Faris Nur Abdurrahman Hatanu Prasidya Martosedono Indra Nugraha Ismoyo, Maret Lusi Fajarita Mahfudh Naufal Muhammad Fahri Ramadhan Nawindah, Nawindah Nazir Harjanto Painem, Painem Ratna Ujiandari Rusdah Rusdah Sri Wahyuningsih Syafrullah, Mohammad Yulianawati Yulianawati