Article Per Year (5 Year)
p-Index From 2020 - 2025
7.441
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS Jupiter Jurnal Sistem dan Informatika SMATIKA Jurnal Ilmiah KOMPUTASI Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA JPM (Jurnal Pemberdayaan Masyarakat) JurTI (JURNAL TEKNOLOGI INFORMASI) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer Informasi Interaktif Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Informatika dan Sistem Informasi Jurnal E-Komtek JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurnal Teknologi Informatika dan Komputer Indonesian Journal of Applied Research (IJAR) Jurnal AbdiMas Nusa Mandiri RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer Rengganis Jurnal Pengabdian Masyarakat Melek IT: Information Technology Journal Jurnal Global Ilmiah Jurnal Teknik Elektro dan Komputer
Nurahman
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Physics Social Sciences Other

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JURIKOM (Jurnal Riset Komputer)

 1 
Klasifikasi Data Penduduk Untuk Menerima Bantuan Pangan Non Tunai Menggunakan Algoritma Naïve Bayes Nurahman Nurahman; Muhammad Mastur Alfitri; Eddy Mashamy
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4678

Abstract

Indonesia's population reaches 273,879,750 people, and it is known that every year it is increasing, so that population movements begin to occur from island to island. The population movement is carried out by everyone with the aim of getting a job to fulfill the necessities of life. However, not all of them can be fulfilled, even though there are still people who fall into the poor category, one of which is part of the population in the village of Bapinang Hulu. In the Bapinang Hulu village there is a Non-Cash Food Aid which is used to help the poor. The Non-Cash Food Assistance Program for the poor should be carried out with the right target. To overcome this, it is necessary to analyze population data. The analysis was carried out using the Nave Bayes Algorithm by dividing the dataset into training data and testing data. Testing the data 9 times to determine the accuracy of the results of research analysis in the search for the Accuracy performance vector value. The results showed that the accuracy performance vector value reached 90.00%. So it is known that the Naive Bayes algorithm is able to analyze population data for determining Non-Cash Food Aid in the upstream bapinang village.
Klasterisasi Data Penerima Bantuan Langsung Tunai Menggunakan Algoritma K-Means Nurahman Nurahman; Jetri Susanto
JURIKOM (Jurnal Riset Komputer) Vol 10, No 2 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i2.5807

Abstract

Increasing population and unequal distribution of population even with conditions of varying poverty levels need to be the center of attention and proper handling. In Pelangsian Village, there were 202 residents who received BLTD in 2021. The existence of a quota of beneficiaries and the number of recipients' conditions that were not suitable often became an obstacle in determining beneficiaries. So that from the data obtained in this study it is necessary to do clustering. Clustering results can be used to find out if the population receiving BLTD meets predetermined criteria. so that it can further assist the government in seeing the categories of people who are really entitled to get this assistance. Data clustering can be done using algorithms in data mining. The algorithm used in the data clustering of Pelangsian villagers in this study is the K-Means algorithm. The research methodology was carried out in several stages, such as problem selection, data collection, data preprocessing, data mining algorithm selection, results evaluation, and results interpretation. Clustering is done by forming 2 data clusters. Before the data is clustered, 202 records need to be preprocessed so that it is found that there are 196 valid data records that can be processed according to research needs. The results of data processing are done by clustering the data into 2 groups. Clustering uses the K-Means algorithm by determining the value of K = 2 so that it is obtained that cluster0 has 115 residents and cluster1 has 81 residents. Algorithm performance testing shows that the K-Means Algorithm obtains a Devies-Bouldin value of -0.794. With a Davies-Bouldin-0.794 value, it can be said that the performance of the clustering algorithm is quite good.
Co-Authors Abdul Aziz Achmad Suprianur Ade Riani Ade Riani Agung Purwanto Agung Purwanto Ahmad fahrudin Ansari Aida Puspita Sari Anang Kukuh Adisusilo Andry Wardana Andy Ismail Aziz Maulana Bambang Priambodo Boby Yudistira Depi Rusda Diana Dwi Aulia Dwi Tjahjo Seabtian Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwi Wahyu Prabowo Eddy Mashamy Edo Tio Gunawan ella ayu lestari Faishal Umar Faruq Fujianto Fujianto Hazanisya Priliani Hutrim Heri Abijono Ibnu Ramadhan ica warisa Imam Hanafi Rahman Indah Ayu Wijayanti Istanta Jetri Susanto julhaidi, akhmad Karina Indah Deswanti Lukman Bachtiar M Syahrifudin Minarni Minarni Mohammad Mastur Alfitri Muhammad Mastur Alfitri Nadia Sari Nadia Sari Nindi Ernawati Nindi Ernawati Noprida Arianto Nor Istiqamah Norman Norman Nur Hidayat Nur Hidayat Poppy Sulistiawaty Prasetyaningrum, Eka Prihandoko . Putri, Shinta Ragil Kurniawan Ragil Kurniawan Rani Ayu Sampita Sari Rismadina Puspa Rosida Rosida Safitri, Diah Atika Setiawan Shinta Putri Sigit Mulyanto Siti - aminah stepani Sumanti, Rika Thea Kirana, Elika warisa warisa Wenti Utari winda pertiwi Winda Pertiwi Wira Pradana Yessy Susianto Yuli Purwanto, Yuli Yuliyanti Yunita, Selviana