Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Ilmu Terapan Jurnal Pengabdian Masyarakat Nian Tana Switch: Jurnal Sains dan Teknologi Informasi
Ditra Liandaputra
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Engineering Health Professions

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

Found 3 Documents
Search

 1 
Perancangan Arsitektur Enterprise Menggunakan Metodologi Enterprise Architecture Planning (EAP): (Studi Kasus PT. Surya Logam Indoabadi Ciputat Tanggerang) Adisuputra Adisuputra; Ditra Liandaputra
Jurnal Sains dan Ilmu Terapan Vol. 7 No. 1 (2024): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v7i1.915

Abstract

Enterprise Architecture Planning (EAP) is a framework for architectural planning that encompasses data architecture, application architecture, and technology architecture, with business processes as its foundation. PT Surya Logam Indoabadi, a manufacturing company specializing in metal-based products, faces challenges in system integration due to conventional business processes. The lack of data synchronization across divisions hampers operational efficiency, particularly in raw material management, production scheduling, and distribution. Without adequate information technology utilization, the company risks operational delays and difficulties in competing within the manufacturing industry. Fragmented systems create "data silos" that obstruct information flow and interdepartmental coordination. Therefore, enterprise architecture development planning is essential to enhance efficiency, integration, and data synchronization across all divisions. The implementation of EAP is expected to help PT Surya Logam Indoabadi optimize business processes, accelerate information access, and improve its competitive advantage in the market. With a more integrated system, the company can adapt to business dynamics and ensure more effective operational sustainability.
Workshop Peningkatan Kompetensi Pemrograman Web bagi Siswa Peserta Lomba Kompetensi Siswa SMK Adisuputra Adisuputra; Aditya Ahmad Fauzi; Ditra Liandaputra; Fitriyanti Fitriyanti; Tri Dewi Yuni Utami; Dzalfa Tsalsabila Rhamadiyanti
JPMNT JURNAL PENGABDIAN MASYARAKAT NIAN TANA Vol. 4 No. 3 (2026): Juli: Jurnal Pengabdian Masyarakat Nian Tana
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/jpmnt.v4i3.1427

Abstract

The Student Competency Competition (LKS) in the field of Web Technologies for Vocational High Schools (SMK) demands a high level of web programming expertise aligned with the requirements of the modern digital industry. However, most participating students often face constraints in implementing clean code architecture, optimal performance, and W3C standardization validation. This community service activity aims to improve the technical web programming competence of vocational students who are prospective LKS participants through an intensive workshop delivery method. The partners for this service involve vocational students majoring in Software Engineering along with their mentoring teachers. The implementation method is systematically organized into three main phases, including prerequisite needs analysis, intensive training based on LKS jury standard modules, and independent project simulation evaluation. The results of the workshop implementation showed a significant increase in the technical capabilities of the participants, where the understanding of modern web architecture, basic security implementation, and compliance with code writing regulations experienced optimal improvement. Documentation of activities and students' portfolio work proves that the LKS jury criteria-based workshop approach is effective in preparing the mental and technical competence of the participants. The implication of this activity is expected to serve as a sustainable coaching model for schools to increase the competitiveness of vocational graduates in both regional and national competition events.
Analisis Komparatif Metode Machine Learning dalam Klasifikasi Risiko Penyakit Jantung Berbasis Data Kaggle Adisuputra Adisuputra; Aditya Ahmad Fauzi; Ditra Liandaputra; Fitriyanti Fitriyanti; Tri Dewi Yuni Utami
Switch : Jurnal Sains dan Teknologi Informasi Vol. 4 No. 4 (2026): Juli : Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v4i4.952

Abstract

Heart disease remains one of the leading causes of the highest mortality rates worldwide, requiring a fast and accurate early detection system to minimize the risk of fatality. This study aims to test, compare, and analyze the performance of two popular machine learning methods, Support Vector Machine (SVM) and Naive Bayes, in classifying the risk of heart attacks. The research method applied is quantitative experimental, utilizing structured secondary data from the Kaggle repository, which includes 79,583 patient medical records. The data preprocessing stages involve handling missing values, feature normalization using the MinMax Scaler technique, and dataset splitting with a proportion of 80% training data and 20% testing data. The research findings indicate that the SVM architecture significantly dominates global performance, achieving an accuracy rate of 0.9847, a precision of 0.9594, and an F1-score of 0.8745. On the other hand, the Naive Bayes algorithm records the highest sensitivity (recall) value of 0.9017, compared to SVM, which only reaches 0.8034. The implications of this study confirm that although SVM is highly superior in the aggregate and accurate in suppressing false-positive rates, Naive Bayes demonstrates better characteristics for initial screening scenarios due to its high sensitivity in minimizing the risk of undetected critical patients.
Co-Authors Adisuputra, Adisuputra Aditya Ahmad Fauzi Dzalfa Tsalsabila Rhamadiyanti fitriyanti fitriyanti Tri Dewi Yuni Utami