Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Wardhani, Kartina Diah Kusuma
Unknown Affiliation
Computer Science & IT Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Diabetes Risk Prediction Using Extreme Gradient Boosting (XGBoost) Wardhani, Kartina Diah Kusuma; Akbar, Memen
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.970

Abstract

One of the uses of medical data from diabetes patients is to produce models that can be used by medical personnel to predict and identify diabetes in patients. Various techniques are used to be able to provide a diabetes model as early as possible based on the symptoms experienced by diabetic patients, including using machine learning. The machine learning technique used to predict diabetes in this study is extreme gradient boosting (XGBoost). XGBoost is an advanced implementation of gradient boosting along with multiple regularization factors to accurately predict target variables by combining simpler and weaker model set estimations. Errors made by the previous model are tried to be corrected by the next model by adding some weight to the model. The diabetes prediction model using XGBoost is shown in the form of a tree, with the accuracy of the model produced in this study of 98.71%
Modeling and Application of Credit Scoring Based on A Multi-Objective Approach to Debtor Data in PT. Bank Riau Kepri Sugianto, -; Widyasari, Yohana Dewi Lulu; Wardhani, Kartina Diah Kusuma
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1493

Abstract

The development of information technology in Indonesia, marked by the start of Industry 4.0, is very rapid. With the development of technology, many companies use technology to develop their business, one of which is banking, which analyses the process of prospective customers. New employees find it challenging to interpret and tend to agree more easily with prospective customers because they only see the fulfillment of general requirements. This research aims to find an overview of the primary and additional factors to analyze prospective credit customers using The Cross-Industry Standard Process for Data Mining (CRISP-DM). Develop a model in this study using data variables of prospective customers in health insurance as a moderating variable. This model tested the Decision Tree algorithm with an accuracy value of 92.49%, the Random Forest with an accuracy value of 81.72%, the Support Vector Machine (SVM) with an accuracy value of 91.25%, and K-Nearest Neighbor (K-NN) with an accuracy value. 90.58%, Gradient Boosting with an accuracy value of 90.69%, and XGBoost with an accuracy value of 93.27%. The algorithm uses a cross-validation technique at the validation stage by changing the K value to 2, 4, 6, 8, and 10. The results show that the XGBoost Algorithm accuracy is 93.27% with a K value of 8. As the highest model accuracy, this model was implemented using the XGBoost Algorithm.
Education on the Implementation of E-Business Systems to Support Operational Management and Marketing at BPC-HIPMI Pekanbaru City: Edukasi Penerapan Sistem E-Business untuk Menunjang Operasional Pengelolaan dan Pemasaran pada BPC-HIPMI Kota Pekanbaru Sari, Rika Perdana; Putra, Tri Anggara; Umayro, Yasmin Nadhifa; Wardhani, Kartina Diah Kusuma; Henim, Silvana Rasio
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i2.23085

Abstract

Badan Pengurus Cabang Himpunan Pengusaha Muda Indonesia (BPC-HIPMI) Kota Pekanbaru merupakan wadah bagi seluruh pengusaha muda yang ada di Kota Pekanbaru yang memiliki tujuan dan visi misi yang sama dalam mengembangkan perekonomian. Selaras dengan hal tersebut dibutuhkan peran serta teknologi informasi dan komunikasi (TIK) untuk menunjang digitalisasi tata kelola perekonomian. Digitalisasi bisnis yang memanfaatkan TIK selanjutnya disebut dengan e-business. Luaran kegiatan ini adalah edukasi pemanfaatan sistem e-business yang telah dikembangkan, yang dilakukan dalam sebuah kegiatan pelatihan. Sasaran peserta pelatihan adalah pengurus dan anggota BPC-HIPMI Kota Pekanbaru. Kegiatan ini disambut baik oleh seluruh peserta, yang diukur berdasarkan umpan balik positif yang diberikan. Peserta sepakat bahwa sistem e-business memberikan kebermanfaatan bagi organisasi, dengan skor rata-rata sebesar 4.33. Kemudahan mengoperasikan sistem juga dirasakan peserta, dimana rata-rata skor usability adalah 4.29. Secara keseluruhan peserta merasakan kepuasan dalam mengikuti kegiatan pelatihan ini, karena dapat membantu proses digitalisasi bisnis UKM yang bernaung di bawah BPC-HIPMI Kota Pekanbaru.
Co-Authors - Sugianto Akbar, Memen Henim, Silvana Rasio Putra, Tri Anggara Rika Perdana Sari, Rika Perdana Umayro, Yasmin Nadhifa Yohana Dewi Lulu Widyasari