Article Per Year (5 Year)
p-Index From 2021 - 2026
2.319
P-Index
This Author published in this journals
All Journal Jurnal Informatika Proceeding International Conference on Information Technology and Business Jurnal Informasi dan Komputer IJISCS (International Journal Of Information System and Computer Science) Jurnal Cendikia Jurnal Ilmu Komputer dan Bisnis Jurnal Informatika Software dan Network (JISN) Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science)
Rahmatullah, Sidik
STMIK Dian Cipta Cendikia Kotabumi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mathematics Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Informatika

 1 
ALGORITMA C4.5 UNTUK MEMPREDIKSI KELAYAKAN PENERIMA BANTUAN PANGAN NON TUNAI Rizal Abi Islahudin; Sidik Rahmatullah; Asep Afandi; Sriyani Safitri
Jurnal Informatika Vol 22, No 2 (2022): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v22i2.3367

Abstract

Pemerintah telah menyiapkan program Bantuan Pangan Non Tunai (BPNT) untuk membantu masyarakat miskin dan membutuhkan. Bantuan Pangan Non Tunai (BPNT) harus disalurkan secara tepat, teratur, dan transparan untuk memastikan bahwa penerima bantuan memang benar-benar mereka yang membutuhkan. Oleh karena itu, diperlukan suatu sistem yang dapat mengubah data menjadi informasi dan mengidentifikasi calon penerima bantuan sembako nontunai maupun yang tidak berhak (BPNT). Sistem prediksi yang akan dibuat pada proyek ini menggunakan RapidMiner 7.1 untuk pengujian dan Algoritma C4.5, metode klasifikasi dari data mining. Hasil Implementasi Data Mining dengan metode Algoritma C4.5 untuk memprediksi kelayakan penerima dan hasil penerima bantuan pangan nontunai (BPNT) diperoleh nilai akurasi prediksi sebesar 99%, yang kemudian divalidasi oleh aplikasi RapidMiner 7.1 dengan akurasi hasil 98,50%.
PERBANDINGAN PENGOLAHAN DATA PREDIKSI PERSEDIAAN GAS LPG 3KG MENGGUNAKAN REGRESI LINIER BERGANDA DAN K-MEANS Annisa Rismanitanti; Rima Mawarni; Sidik Rahmatullah; Dwi Marisa Efendi; Sulis Nurbaiti
Jurnal Informatika Vol 22, No 2 (2022): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v22i2.3376

Abstract

he oil and natural gas sector is a sector that is used with great importance for Indonesia's national development. An interesting commodity to watch out for in the oil and gas industry is liquefied petroleum gas (LPG). LPG is a hydrocarbon gas that has been liquefied under pressure to facilitate storage, transportation, and handling and the main ingredients consist of propane/C3, butane/C4 or can be mixed to produce mixed LPG..At this time PT. BLORA MUSTIKA does not focus on when household needs increase and when not, the meaning of this is that LPG gas data is not used properly and is only recorded, this of course makes PT BLORA MUSTIKA unable to predict demand from sub-distributors and results in frequent an empty supply of LPG gas causing difficulties for the community to obtain 3 Kg LPG gas. This problem can be calculated and compared with the Multiple Linear Regression and K-Means methods.By using the Multiple Linear Regression and K-Means method, it is hoped that it will make it easier for PT. BLORA MUSTIKA in determining demand predictions from sub-distributors so that there is no shortage of LPG gas supplies and which method can be obtained which is more effective and efficient.
Co-Authors Afandi, Asep Afriza, Roby Ahmad Fikri Habibillah Amnah, Siti Annisa Rismanitanti Arief Hendriawan Daliman Desri Arisandi Dewi Triyanti Dita Destia Efendi, Dwi Marisa Elis Amalia Ema Utami Faselia, Reni Ferly Ardhy Firmansyah Firmansyah Herman Affandi Iko Prastiyo Karmila Permatasari Kevin Aditya Pratama Maftoha, Bayu Mario, Deka Mawarni, Rima Melpin Aprido Jenius Mintoro, Sigit Monica Nindy Pramitha Mukrim Mukrim Ngajiyanto, Ngajiyanto Nurmayanti Nurmayanti Nurmayanti, Nurmayanti Pakarti Riswanto Parida, Merri Rendy Abdurahman Rizal Abi Islahudin Rustam Rustam Rustam Rustam Sani Handika Lubis Sari, Dessy Permata Sri Wahyuni Sriyani Safitri Sulis Nurbaiti Supriyanto . Supriyanto Supriyanto Supriyato Supriyato