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All Journal Jupiter INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) INTECOMS: Journal of Information Technology and Computer Science Journal of Applied Engineering and Technological Science (JAETS) JTIK (Jurnal Teknik Informatika Kaputama) Infotech: Jurnal Informatika & Teknologi Jurnal Sistem Informasi Bisnis (JUNSIBI) Jupiter Journal of Computer & Information Technology Ladang Artikel Ilmu Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak
Asistyasari, Ayuni
Universitas Bina Sarana Informatika
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science

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Klasifikasi Berita Hoaks Menggunakan Algoritma Vector Space Model Asistyasari, Ayuni; Bibit Sudarsono; Umi Faddilah
INFOTECH : Jurnal Informatika & Teknologi Vol 2 No 2 (2021): INFOTECH: Jurnal Informatika & Teknologi
Publisher : Teknik Informatika - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.249 KB) | DOI: 10.37373/infotech.v2i2.176

Abstract

Sebuah berita terkait suatu informasi yang beredar di media cetak atau mainstream akan menjadikan opini publik tentang suatu masalah baik yang bersifat informasi positif atau negatif, perkembangan teknologi informasi sekarang ini menyebabkan penyebaran informasi bisa uptodate setiap harinya. Dengan semakin mudahnya sebuah informasi menyebar maka akan semakin mudah pula mempengaruhi kehidupan dalam sosial masyarakat sekarang ini. Namun pada kenyataannya informasi yang beredar di media itu tidak semuanya benar atau bisa dikatakan adanya suatu berita hoax atau tidak benar. Dalam penelitian ini bertujuan untuk mengklasifikasi sistem temu kembali informasi berita hoaks menggunakan metode vektor space model untuk memastikan kebenaran suatu berita apakah berita hoax atau tidak. Dalam penelitian tersebut menghasilkan klasifikasi kebenaran berita dengan akurasi terbaik pada K-6 sebesar 83%, artinya dengan akurasi tersebut bisa memvalidasi klasifikasi terkait informasi berita benar ataupun hoax sebesar 83%.
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

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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%.
ANALISIS PENERIMAAN KARYAWAN POSISI FIELD COLLECTOR MENGGUNAKAN ALGORITMA C4.5 PADA PT. PRISMAS JAMINTARA JAKARTA Ayuni Asistyasari; Taufik Baidawi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 2 No 2 (2017): JITK Issue February 2017
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1430.426 KB)

Abstract

PT Prismas Jamintara one the service human resources company every month selected employee on Field Collector position for customer needed. The process of human resources needs to have criteria such as Old, Education, Experience, and vehicle. The purpose of a processed employee is customer need. Algorithm C4.5 is one of the methods for analyzing data used entropy and gain concept. With that Algorithm. made the decision tree to measure the best criteria and get accuracy value 71,54%+/-%+/-9,13%, precision 80,47% +/-8,16 and recall 83,78% +/-9,29% with ROC value 0,721.
PENCARIAN PRODUK E-COMMERCE BERDASARKAN JUDUL DAN DESKRIPSI MENGGUNAKAN VECTOR SPACE MODEL Ayuni Asistyasari
Jupiter: Journal of Computer & Information Technology Vol 1, No 2 (2020): JUPITER: Journal of Computer, Information & Technology
Publisher : Institut Bisnis Muhammadiyah Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.049 KB) | DOI: 10.53990/cist.v1i2.82

Abstract

E-Commerce in Indonesia has increased every year, especially B2C sales and this is directly proportional to the increasing number of e-commerce sites in Indonesia. One of the things that this site offers is the ease of finding the product you want to find. However, in several tests conducted, it turns out that some Indonesian e commerce sites are unable to search for products based on the description keyword. Therefore, the writer tries to do this research using the VSM algorithm and produces an accuracy of 60%, a precision of 72.73%, and a recall of 80%.
Sales Mobile Application Design in Handphone Store Nanang Nuryadi; Bibit Sudarsono; Ayuni Asistyasari; Nuryanti Nuryanti
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v4i1.1371

Abstract

In the current era of globalization, technology is advancing rapidly, and computers are one of the technologies which are one of the tools used to make it easier to find problems, of course, it is also supported by hardware, software and brainware. Mobile stores require an information system that supports and provides satisfactory service to buyers. For this reason, the author makes this final project regarding the program for selling cellphones at the cellphone store which currently does not use a computerized system. The system at the cellphone store usually still uses a manual system. Starting from recording sales notes to bookkeeping sales reports that are still recorded in the books. This can allow for errors in recording, ineffectiveness and inefficient calculations in large numbers. And can cause inaccurate reports made. The use of the program is one solution to solving sales problems in the cellphone store. Therefore, with the use of a sales program, it is possible to further assist sales activities in the cellphone store.
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
IMPLEMENTASI NETWORK TRAFFIC MANAGEMENT MENGGUNAKAN PIRANTI LUNAK SNIFFER DI ROUTEROS Syamsu Hidayat; Astried Silvanie; Ayuni Asistyasari
Jurnal Sistem Informasi Bisnis (JUNSIBI) Vol 4 No 2 (2023): Jurnal Sistem Informasi Bisnis (JUNSIBI)
Publisher : Program Studi Sistem Informasi Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/junsibi.v4i2.746

Abstract

Penggunaan bandwith internet secara optimal dan efisien untuk kegiatan operasional perusahaan sangatlah mutlak. Masih banyaknya pengguna dalam hal ini karyawan tidak memanfaatkan fasilitas koneksi bandwith internet yang disediakan oleh perusahaan secara efisien , mereka mengakses situs dan mengunduh file yang tidak ada hubungannya sama sekali dengan pekerjaan mereka. Hal ini menimbulkan traffic penggunaan internet yang sangat tinggi yang menyebabkan koneksi internet menjadi lambat dan mengganggu kegiatan operasional perusahaan. Penerapan Network Managemen Traffic mutlak diperlukan, dengan menggunakan sebuah aplikasi yang bernama sniffer yang dapat memanfaatkan API Mikrotik RouterOS sehingga dapat memonitoring traffic jaringan pada saat itu. Kemudian daripada itu penggunaan fitur-fitur yang dimiliki oleh RouterOS Mikrotik diantaranya adalah fitur mangle, filter dan address list pada firewall serta penggunaan metode Queeu Tree pada fitur Queue untuk dapat memanajemen bandwith, adapun hasil yang didapat adalah penggunaan bandwith pada tiap-tiap pengguna kemudian dilakukan tindakan dengan memanfaatkan fitur Firewall dan Queue Tree sehingga penggunaan bandwith oleh pengguna lebih efisien dan terkontrol menjadikan jaringan internet lebih stabil.
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.
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 Arshad, Muhammad Waqas Astried Silvanie Aziz Setyawan Hidayat, Aziz Setyawan Bibit Sudarsono Chandra, Iryanto Felix Wuryo Handono Nanang Nuryadi Nuryaman, Yosep Nuryanti Nuryanti Sitna Hajar Hadad Syamsu Hidayat Taufik Baidawi, Taufik Umi Faddilah Umi Faddilah Umi Faddillah Ummi Faddillah Very Hendra Saputra Wang, Junhai Yosep Nuryaman