Article Per Year (5 Year)
p-Index From 2019 - 2024
1.203
P-Index
This Author published in this journals
All Journal Jupiter INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science JTIK (Jurnal Teknik Informatika Kaputama) Ladang Artikel Ilmu Komputer
Yosep Nuryaman
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Sistem Temu Kembali Masakan Tradisional Indonesia Berdasarkan Bahan Berbahasa Inggris Menggunakan Algoritma KNN Yosep Nuryaman; Ayuni Asistyasari; Bibit Sudarsono; Umi Faddilah
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 1 (2021): JUPITER Vol. 13 No. 1 April 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

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

Abstract

Abstrak Salah satu ragam kekayaan yang dimiliki oleh indonesia yang perlu dijaga kelestarian dan dipromosikan ke negara-negara lainnya adalah makanan tradisional indonesia. Apalagi disaat pandemi saat ini, perlu adanya cara-cara khusus untuk mempromosikan hal tersebut seperti pembuatan website masakan tradisional. Namun dengan adanya perbedaan bahasa perlu adanya teknik tertentu dalam pencarian yang dapat menampilkan masakan tradisional dalam bahasa inggris maupun bahasa indonesia. Penulis kemudian melakukan perhitungan sistem temu kembali bahan masakan tradisional Indonesia berbahasa inggris dengan menggunakan algoritma knn yang menghasilkan akurasi sebesar 80% pada k5.  Kata kunci— Sistem Temu Kembali, KNN, tf-idf, text-mining  Abstract  One of the kinds of wealth owned by Indonesia that needs to be preserved and promoted to other countries is traditional Indonesian food. Especially during the current pandemic, there needs to be special ways to promote this such as the creation of a website traditional food. However, due to language differences, it is necessary to have certain techniques in search that can display traditional dishes in English and Indonesian. The author then calculates the retrieval system of traditional Indonesian ingredients in English using the KNN algorithm which produces an accuracy of 80% at k5.. Keywords— Information Retrival, KNN, tf-idf, text-mining
Analisa Penjualan Perlengkapan Olahraga Pada HS Sport Menggunakan Metode Apriori Bibit Sudarsono; Umi Faddillah; Ayuni Asistyasari; Yosep Nuryaman
Jurnal Inovtek Polbeng Seri Informatika Vol 6, No 2 (2021)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v6i2.2066

Abstract

Covid-19 yang masih tidak kunjung pulih di Indonesia membuat banyak lini bisnis menjadi terganggu, bahkan beberapa diantaranya harus tutup secara permanen. Salah satu perusahaan yang tidak luput dari efek Covid-19 adalah HS SPORT. HS SPORT sebagai salah satu penjual alat-alat olah raga berupaya sebisa mungkin agar bertahan di masa Covid-19 ini. Salah satu cara yang digunakan oleh HS SPORT yaitu dengan memberikan promosi paket penjualan alat olah raga. Oleh sebab itu maka dilakukan penelitian terhadap data penjualan selama satu tahun terakhir selama pandemi menggunakan Algoritma apriori. Dan berdasarkan perhitunganyang telah dilakukan menggunakan Algoritma Apriori menghasilkan produk yang paling banyak terjual memenuhi syarat minimum confidence 70% seperti jika membeli body protector maka akan membeli hand protector 79%.
Klasifikasi Data Penjualan Mengunakan Algoritma K-Means Dan Analytic Hierarchy Process Yosep Nuryaman; Bibit Sudarsono; Ummi Faddillah; Ayuni Asistyasari
Jurnal Larik: Ladang Artikel Ilmu Komputer Vol 2 No 1 (2022): Juli 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.877 KB) | DOI: 10.31294/larik.v2i1.1371

Abstract

With the Covid 19 which has hit the last few years, sales in various fields have a negative impact, including Supermarket X, which has experienced a decline in various branches in various regions. For consideration, they evaluate the sales of these branches. By classifying the existing sales data, it is hoped that they will be able to see which self-service branch group x is not doing well, which one is already good. However, it is necessary to have a good classification technique so that evaluations are carried out based on good calculation results. Therefore, the author tries to use the K-Mean Algorithm and the AHP Algorithm to classify the existing sales data. The K-Mean Algorithm and the AHP Algorithm are algorithms that are able to cluster a set of data. By clustering the stores based on the proximity of the sales results for the last 2 years which has gone up and down using these 2 algorithms, we will be able to see which stores are classified as good and which are not. Based on the comparison results from the calculation results, it was found that the best results were using the K-Mean algorithm with k2 in the 3rd literacy with a ratio of 0.04926
OPTIMALISASI MANAJEMEN TRAFIK DAN KEAMANAN DATA PADA JARINGAN INTRANET IBI-K 1957 DENGAN METODE USER BEHAVIOUR ANALYSIS Syamsu Hidayat; Astried Silvanie; AYUNI ASISTYASARI; Yosep Nuryaman
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 7 No. 2 (2023): Volume 7, Nomor 2, Juli 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v7i2.125

Abstract

The incident of a data breach at one of the national banks as a result of the merger of several Islamic banks in Indonesia for economic reasons has significantly increased concerns about the security of the data of all organizations, including educational organizations such as universities, where there are such as a personal data system and also educational data for the academic community, the open internet sharing systems enabled by universities are highly vulnerable to cyber attacks. For this reason, an optimization measure for the security of the campus network was implemented in this study and, in addition, the Internet connection was made more stable, as it is perceived as very slow at certain hours or during working hours. The use of Mikrotik as a network security tool designed to establish a network security fortress against intruders. In addition to the fact that Mikrotik devices are easy to obtain and inexpensive, and have good security features, the use of the method of analyzing user behavior consists in using a firewall to detect users who download activities with certain criteria are recorded and marked by the firewall , to then restrict access for the user. The. In addition to utilizing Mikrotik's firewall capabilities, the Queue feature is also used with the Simple Queue and Queue Tree methods. In the Simple Queue method, it designates one of the hosts whose bandwidth is limited, while in Queue Tree, it limits the network segments that provide users with maximum bandwidth limits and guarantees bandwidth. Both can be used side by side and work optimally.
Analisa Penjualan Barang Untuk Mengetahui Kebutuhan Barang Menggunakan Algoritma K-Mean Pada Toko X Umi Faddillah; Bibit Sudarsono; Nanang Nuryadi; Khairul Rizal; Yosep Nuryaman
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.6426

Abstract

Pengiriman barang mempunyai peranan penting dalam rantai bisnis retail, setiap pengiriman harus memperhitungkan jumlah barang yang terjual dan juga toko mana saja yang dapat dikirimkan bersamaan. PT X merupakan Perusahaan retail yang memiliki banyak cabang toko di wilayah Jakarta, sehingga memerlukan gambaran toko-toko mana saja dan barang apa saja yang dikirimkan secara bersamaan. Algorima K-mean adalah salah satu algorima untuk mengklusterisasi. Oleh sebab itu maka penulis melakukan perhitungan data penjualan menggunakan alogoritma k-mean untuk mengelompokan toko-toko. Dan dari hasil perhitungan yangs sudah dilakukan terdapat hasil kluster terbaik yaitu kedalam 5 cluster dimana untuk cluster 0 terdapat 13 toko, cluster 1 terdapat 17 toko, cluster 2 terdapat 7 toko, cluster 3 terdapat 16 toko dan cluster 4 terdapat 12 Toko.
Expert System for Diagnosing Damage to Automatic Motorcycle Engines Using the Forward Chaining Method Nanang Nuryadi; Aziz Setyawan Hidayat; Felix Wuryo Handono; Ayuni Asistyasari; Yosep Nuryaman
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 3 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i3.10394

Abstract

Damage to the matic engine due to negligence in treatment. The new vehicle owners aware of the damage after the vehicle can not operate properly. Therefore, the use of vehicles likely to require regular maintenance. By way of detecting damage to what is happening on the vehicle. For example, if the vehicle sound noisy and have no idea why this happens, it is this which encourages the development of an expert system to identify / diagnose matic damage to the engine. Submission of information was carried out using visual basic applications that have been made​​. By running the application diagnosis expert system engine matic damage to the computer, it will be processed in the system then the results will be displayed on the computer screen. This system is expected to provide optimal information from the user and the system of reciprocity.This study is expected to provide all information related to the engine damage problem quickly and efficiently on a reciprocal basis between the user and the system.
Co-Authors Asistyasari, Ayuni Astried Silvanie Aziz Setyawan Hidayat, Aziz Setyawan Bibit Sudarsono Felix Wuryo Handono khairul rizal Nanang Nuryadi Syamsu Hidayat Umi Faddilah Umi Faddillah Ummi Faddillah