Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Elektronika dan Telekomunikasi Jurnal Teknologi Informasi dan Multimedia Jurnal Abdi Insani Jurnal Sistem Komputer dan Informatika (JSON) Jurnal SASAK : Desain Visual dan Komunikasi Prosiding Konferensi Nasional PKM-CSR Bakti Sekawan : Jurnal Pengabdian Masyarakat SainsTech Innovation Journal
Kumoro, Danang Tejo
Universitas Qamarul Huda Badaruddin, Lombok Tengah
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Pemanfaatan aplikasi VN Untuk Pembuatan Video Pembelajaran Menggunakan Telepon Pintar Pada Guru PAUD/TK Gusus 3 Kota Mataram Ardi, Raden Fanny Printi; Purmadi, Ary; Wibawa, Restu; Maulachela, Adam Bachtiar; Juliansyah, Akbar; Kumoro, Danang Tejo
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2021): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.779 KB) | DOI: 10.35746/bakwan.v1i1.150

Abstract

Covid-19 is a virus that makes the learning and teaching process unable to run properly. All activities that involve large numbers of people are advised not to be carried out to prevent the spread of the COVID-19 virus. This also has an impact on teaching and learning activities throughout Indonesia, including kindergarten/PAUD schools in the Cluster 3 area of ??Mataram City. Currently, teaching and learning activities are still carried out but using online methods. This situation makes teachers feel the need to improve their ability to deliver material through online-friendly learning media, as well as friendly to TK/PAUD students. The method used is a combination of online / offline that applies health protocols. Offline is carried out when providing theoretical training materials as well as during guidance and evaluation, while offline is carried out when carrying out practice and demonstrations. The whole process of community service is divided into three stages, namely preparation, implementation, and evaluation. The purpose of this service is to train TK/PAUD teachers in the Mataram City cluster 3 who do not have a scientific background in information technology and are required to carry out teaching and learning activities using online methods. The results of the evaluation of this training activity teachers are able to make learning videos using smart phone devices. So the teacher is no longer constrained when carrying out Teaching and Learning Activities with the online method
PELATIHAN DESAIN GRAFIS SEBAGAI UPAYA PENINGKATAN PENGETAHUAN DAN KETERAMPILAN DALAM PEMASARAN KONTEN SEBAGAI PELUANG MENDAPATKAN PASSIVE INCOME BAGI KARANG TARUNA CIPTA RASA DAYA DI DESA KARANG SIDEMEN Syuhada, Fahmi; Saputra, Joni; Adipta, Marazaenal; Anggarista, Randa; Kumoro, Danang Tejo; Afriansyah, M.; Lonang, Syahrani; Putra, Ahmad Fatoni Dwi; Firdaus, Asno Azzawagama; Pratama, Ramadhana Agung; Yamin, Muhamad
Jurnal Abdi Insani Vol 12 No 5 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i5.2235

Abstract

The Community Partnership Empowerment activity aimed to enhance the skills and knowledge of the youth in Karang Sidemen Village, Central Lombok, in the field of digital creative economy, specifically through digital content marketing that can generate passive income. The PKM program is supported by the Directorate of Research, Technology, and Community Service through the BIMA 2024 program. The activities included a socialization session on the concept of the creative economy and technical training on using Adobe Illustrator, where participants were encouraged to market their creations on platforms like Shutterstock. The outcomes of this program showed an improvement in participants' graphic design skills, as evidenced by their ability to create logos, set up Shutterstock accounts, and independently upload their work. Additionally, this activity involved students under the Merdeka Belajar-Kampus Merdeka (MBKM) scheme, providing them with experiential learning outside the campus. In conclusion, this program successfully made a positive impact on digital literacy and the creative economy in the community and is expected to contribute to the village's economic sustainability through the empowerment of local potential in a sustainable manner.
COMPARATIVE ANALYSIS OF DECISION TREE AND RANDOM FOREST ALGORITHMS FOR PREDICTING DIABETES MELLITUS Desmita, Nindri Lia; Kumoro, Danang Tejo; Lonang, Syahrani
SainsTech Innovation Journal Vol. 8 No. 1 (2025): SIJ VOLUME 8 NOMOR 1 TAHUN 2025
Publisher : LPPM Universitas Qamarul Huda Badaruddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37824/sij.v8i1.2025.783

Abstract

Diabetes mellitus (DM) is a chronic disease with an increasing number of sufferers and a risk of serious complications. Early detection is very important to prevent these risks. This study uses a public dataset from Kaggle to compare the performance of Decision Tree and Random Forest algorithms in predicting diabetes status. The dataset includes demographic and medical information such as age, hypertension, cardiac history, BMI, HbA1c, and blood glucose levels. Unbalanced data was handled using the SMOTE method, and then tested with 80:20, 70:30, and 60:40 data sharing schemes. The evaluation results showed that Random Forest excelled in all schemes, with the best performance in the 60:40 scheme (96.02% accuracy, 76.13% F1-score). This research shows that Random Forest is effective to support machine learning-based diabetes early detection system.
Co-Authors Adam Bachtiar Maulachela Adipta, Marazaenal Afriansyah, M. Amir Fatah Sofyan Anggarista, Randa Ardi, Raden Fanny Printi Arief Setyanto Asno Azzawagama Firdaus Desmita, Nindri Lia Didi Putra Hariyadi Eliyah Acantha Manapa Sampetoding Habib Ratu Perwira Negara Joni Saputra Lalu Jayeng rusiandi Putra Miftahul Madani Muhamad Yamin Noor Alamsyah Pratama, Ramadhana Agung Purmadi, Ary Putra, Ahmad Fatoni Dwi Raden Fanny Printi Ardi Susilahudin Putrawangsa Syahrani Lonang Syahroni Hidayat Syuhada, Fahmi Uswatun Hasanah Uswatun Hasanah Valian Yoga Pudya Ardhana Wibawa, Restu widya meli anggarini