Article Per Year (5 Year)
p-Index From 2021 - 2026
1.182
P-Index
This Author published in this journals
All Journal Teknika Jupiter Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal Teknologi Informasi MURA SIENNA Jurnal Teknologi Informasi Mura
Randi Estian Pambudi
IIB Darmajaya
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Klasifikasi Penyakit Stroke Menggunakan Algoritma Decision Tree C.45 Randi Estian Pambudi; Sriyanto Sriyanto; Firmansyah Firmansyah
TEKNIKA Vol. 16 No. 2 (2022): Teknika Juli - Desember 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Stroke is a disorder of brain function, both local and comprehensive, which will cause the blood supply to the brain to be disrupted quickly and last more than 24 hours or end in death. Stroke is also one of the deadliest types of disease in Indonesia. The importance of knowing the symptoms of stroke early is an early prevention. Therefore, a study was conducted to analyze data related to the causes of stroke. The attributes involved in the cause of stroke are age, gender, glucose level, history of heart disease, hypertension, type of work, type of residence, smoking status, body mass index and marital status. A certain algorithm is needed to classify all these attributes. Decision Tree C4.5 is the most widely used algorithm, in this case the accuracy of the Decision Tree C4.5 algorithm is 99.07%.
teknika DATA MINING TO PREDICTE STUDENT ACHIEVEMENT BASED ON SOCIO-ECONOMIC, MOTIVATION, DISCIPLINE AND PAST ACHIEVEMENT AT VOCATIONAL SCHOOL 1 PENAWARTAMA TULBABAG USING THE C4.5 ALGORITHM: DATA MINING UNTUK MEMPREDIKSI PRESTASI PESERTA DIDIK BERDASARKAN SOSIAL EKONOMI, MOTIVASI, KEDISIPLINAN DAN PRESTASI MASA LALU DI SMKN 1 PENAWARTAMA TULANG BAWANG MENGGUNAKAN ALGORITMA C4.5 Suroto, Suroto; Purnomo, Hendri; Estian Pambudi, Randi
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12743856

Abstract

SMK Negeri 1 Penawartama Tulang Bawang is a school whose students come from various villages in the district. Most of the students come from families with limited economic conditions and low levels of education. These factors often affect the students' learning motivation. The aim of this research is to predict students' academic performance based on parents' socioeconomic status, motivation level, discipline level, and previous academic achievements using data mining methods with the C4.5 algorithm. This research employs a quantitative approach involving 606 tenth-grade students at SMK Negeri 1 Penawartama Tulang Bawang. Data collection methods used include documentation and questionnaires. The research results show that the prediction analysis using decision trees has an accuracy rate of 98.02%, precision of 94.44%, and recall of 77.27%.   Keywords: data mining, C4.5 algorithm, accuracy, precision, and recall
Jurnal Pemanfaatan Data Mining untuk Prediksi Prestasi Akademik Siswa Berdasarkan Pola Kehadiran ,Aktivitas Belajar Mengguakan Naive Bayes Logistic Regression. Pmabudi, Randi Estian; Purnomo, Hendri; Irawan, Rendi
Jurnal Teknologi Informasi Mura Vol 16 No 2 (2024): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v16i2.2507

Abstract

Pendidikan memiliki peran penting dalam membentuk kualitas sumber daya manusia yang unggul. Untuk meningkatkan mutu pendidikan, teknologi data mining digunakan untuk mengungkap pola-pola tersembunyi dalam data akademik. Penelitian ini bertujuan untuk memprediksi prestasi akademik siswa berdasarkan pola kehadiran dan aktivitas belajar menggunakan metode Naive Bayes dan Logistic Regression. Data diperoleh dari institusi pendidikan dan diolah melalui tahap preprocessing, meliputi pembersihan, transformasi, dan seleksi fitur. Model prediktif divalidasi menggunakan teknik k-fold cross-validation dan dievaluasi menggunakan metrik akurasi, presisi, recall, serta F1-score.Hasil penelitian menunjukkan bahwa metode Naive Bayes mencapai akurasi sebesar 85,7%, presisi 83,2%, recall 84,5%, dan F1-score 83,8%. Sementara itu, metode Logistic Regression menghasilkan akurasi sebesar 88,9%, presisi 87,1%, recall 86,7%, dan F1-score 86,9%. Kombinasi kedua metode memberikan performa lebih baik, dengan akurasi mencapai 90,3%, presisi 89,5%, recall 88,8%, dan F1-score 89,1%. Temuan ini menunjukkan bahwa penggunaan teknik data mining secara terintegrasi dapat meningkatkan akurasi prediksi prestasi akademik siswa.Penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam mendukung pengambilan keputusan berbasis data untuk meningkatkan kualitas pembelajaran di institusi pendidikan
Jurnal Pemanfaatan Data Mining untuk Prediksi Prestasi Akademik Siswa Berdasarkan Pola Kehadiran ,Aktivitas Belajar Mengguakan Naive Bayes Logistic Regression. Pmabudi, Randi Estian; Purnomo, Hendri; Irawan, Rendi
Jurnal Teknologi Informasi Mura Vol 16 No 2 (2024): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v16i2.2507

Abstract

Pendidikan memiliki peran penting dalam membentuk kualitas sumber daya manusia yang unggul. Untuk meningkatkan mutu pendidikan, teknologi data mining digunakan untuk mengungkap pola-pola tersembunyi dalam data akademik. Penelitian ini bertujuan untuk memprediksi prestasi akademik siswa berdasarkan pola kehadiran dan aktivitas belajar menggunakan metode Naive Bayes dan Logistic Regression. Data diperoleh dari institusi pendidikan dan diolah melalui tahap preprocessing, meliputi pembersihan, transformasi, dan seleksi fitur. Model prediktif divalidasi menggunakan teknik k-fold cross-validation dan dievaluasi menggunakan metrik akurasi, presisi, recall, serta F1-score.Hasil penelitian menunjukkan bahwa metode Naive Bayes mencapai akurasi sebesar 85,7%, presisi 83,2%, recall 84,5%, dan F1-score 83,8%. Sementara itu, metode Logistic Regression menghasilkan akurasi sebesar 88,9%, presisi 87,1%, recall 86,7%, dan F1-score 86,9%. Kombinasi kedua metode memberikan performa lebih baik, dengan akurasi mencapai 90,3%, presisi 89,5%, recall 88,8%, dan F1-score 89,1%. Temuan ini menunjukkan bahwa penggunaan teknik data mining secara terintegrasi dapat meningkatkan akurasi prediksi prestasi akademik siswa.Penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam mendukung pengambilan keputusan berbasis data untuk meningkatkan kualitas pembelajaran di institusi pendidikan
Optimalisasi Proses Pemesanan Jasa Servis Komputer dan Laptop melalui Aplikasi Web Menggunakan Framework Codeigniter Faris; Hartono; Pambudi, Randi Estian
Sienna Vol 5 No 2 (2024): Sienna Volume 5 Nomor 2 Desember 2024
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v5i2.1638

Abstract

The rapid growth of technology has made computers and laptops indispensable in various fields such as government, education, and commerce. Despite widespread ownership, users often lack the skills to handle technical issues, creating a demand for repair services. Many repair shops still rely on manual tools like Microsoft Word and Excel for operational tasks, which becomes inefficient as customer numbers grow. This research focuses on the development of a web-based service management system to address these challenges and enhance efficiency. Using the waterfall methodology, a systematic and sequential approach was employed to design and implement the system. The CodeIgniter framework, known for its PHP development efficiency and ease of implementation, was utilized. The system features include repair status tracking, customer account management, financial reporting, service order processing, and detailed payment tracking. These functionalities aim to improve the customer experience, increase operational efficiency, and simplify business processes.
IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS PEMETAAN LOKASI PEMBUANGAN SAMPAH LEGAL BERBASIS WEBSITE DI KOTA BANDAR LAMPUNG Rahardi, Agus; Estian Pambudi, Randi; Septiawan, Yuda; Ade Muktiawan, Danang; Irfan, Muhammad
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol. 7 No. 1 (2024): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : LP2M Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v7i1.412

Abstract

Waste disposal that is not well managed in Bandar Lampung City caused problems with a negative impact on the environment and public health. Lack of related information legal dump sites make things difficult for cleaning crews, leading to dumping carelessness and increasing the risk of health problems. Official local government websites were not yet optimal in providing information, giving rise to the need for more effective solutions. This research aims to implement a Geographic Information System (GIS) for mapping legal waste disposal locations in Bandar Lampung City via its website. The research focused only on legal waste and mapping its location. The data used comes from environmental services and other supporting sources. The results are expected to make things easier for cleaning officers to access information, increase the effectiveness of waste management, assist government decision-making, increase the efficiency of waste management, environmental cleanliness and transparency. With more complete and accurate information, it is hoped that waste management will become more planned and coordinated and provide a platform for data and information related to legal waste disposal locations. Furthermore, community empowerment can be carried out for more sustainable research results in location mapping and integration with others system to improve overall waste management more efficient.
Sistem Informasi Rekam Medis Elektronik pada Puskesmas Berbasis Web di Puskesmas Brabasan Wulandari, Feny; Pambudi, Randi Estian
TEKNIKA Vol. 20 No. 1 (2026): Teknika Januari 2026
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17718509

Abstract

Pelayanan kesehatan di Puskesmas membutuhkan sistem yang dapat mengelola data pasien secara cepat, tepat, dan terhubung antar bagian. Namun, proses pencatatan rekam medis di Puskesmas Brabasan masih dilakukan secara manual, sehingga sering menimbulkan kesulitan dalam pencarian data, adanya duplikasi dokumen, serta keterlambatan dalam pelayanan. Penelitian ini bertujuan untuk merancang dan mengembangkan Sistem Informasi Rekam Medis Elektronik berbasis web sebagai upaya meningkatkan efisiensi serta ketepatan pengelolaan data pasien di Puskesmas Brabasan. Metode pengembangan yang digunakan adalah model Waterfall, yang mencakup tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Sistem dirancang menggunakan bahasa pemrograman PHP dan MySQL sebagai basis data, dengan antar muka web yang memungkinkan akses melalui jaringan lokal maupun internet. Hasil penelitian menunjukkan bahwa sistem yang dibangun dapat mengolah data pasien, data pemeriksaan, informasi dokter, serta laporan medis secara terpadu. Pengujian menggunakan metode Black Box Testing membuktikan bahwa seluruh fitur berfungsi sesuai dengan kebutuhan pengguna. Dengan demikian, penerapan sistem informasi rekam medis elektronik ini mampu meningkatkan efektivitas pelayanan kesehatan dan mendukung proses digitalisasi administrasi di Puskesmas Brabasan.
Co-Authors Abda Abda Ade Muktiawan, Danang Agus Rahardi, Agus Aminuyati Faris Firmansyah Firmansyah Hendri Purnomo Irawan, Rendi Muhammad Irfan Septiawan, Yuda Suroto Suroto Wulandari, Feny