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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Computatio : Journal of Computer Science and Information Systems INFORMASI (Jurnal Informatika dan Sistem Informasi) Journal of Sustainable Community Development (JSCD)
bagus Mulyawan
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAPTOP DAN KOMPUTER BERBASIS WEBSITE MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS DAN WEIGHTED PRODUCT Renaldy Cahya; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.685 KB) | DOI: 10.24912/jiksi.v8i1.11484

Abstract

The development of science and technology is now increasingly advanced and increasing rapidly, the use of laptops in the present times that are needed for everyday needs. Many choices of laptops and computers available on the market make people difficult to make choices. People usually only consider prices without regard to specifications. Analytical Hierarchy Process method is one method to help the calculation of selection criteria and Weighted Product methods to facilitate the community in choosing laptops and computers by ranking. The way it works is that the user chooses the 5 criteria provided, namely price, processor, ram, hdd, vga after choosing according to needs, the 10 best laptop ranking will appear based on the user's selection.
PERANCANGAN APLIKASI E-COMMERCE JAKARTA FRUIT MARKET Hartanto Hartanto; Ery Dewayani; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.145 KB) | DOI: 10.24912/jiksi.v6i2.2634

Abstract

E-commerce merupakan proses pembelian dan penjualan jasa dan barang-barang secara elektronik dengan transaksi bisnis terkomputerisasi menggunakan internet, jaringan, dan teknologi digital lain. Selain untuk mempermudah pelanggan dalam mencari informasi produk yang ditawarkan, perlu dibuat perancangan aplikasi E-Commerce Jakarta Fruit Market agar pelanggan dapat mengetahui dan membeli barang yang ditawarkan. Program aplikasi ini berupa website. Website berisi informasi produk dan kategori produk. Dalam pengumpulan data digunakan metode studi pustaka dan wawancara. Sedangkan metode perancangan sistem yang digunakan adalah metode System Developtment Life Cycle/(SDLC). Pembuatan program aplikasi ini menggunakan bahasa pemograman PHP. Hasil dari perancangan aplikasi ini dapat menyediakan informasi buah, memudahkan pelanggan untuk membeli buah dan untuk mempromosikan buah Jakarta Fruit Market.
SISTEM PENDUKUNG PERJALANAN WISATA DI KABUPATEN BANGKA BERBASIS ANDROID DENGAN ALGORITMA DIJKSTRA Joshua Saputra; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v6i2.2639

Abstract

Application has been made as a system that help tourists who would plan their trip at Bangka Regency based on a shortest path. Furthermore, there also has a rent car feature with per day fare. Renter will be able to promote their cars for rent in the application so that the user can see all cars that have been rented by the renter. For the trip plan feature, system is using Dijkstra’s algorithm as a Support System to decide which path is the shortest one. The first current position and destination of tour places is determined by user. After choosing destination places, Dijkstra’s algorithm will find the shortest path gradually from each tour places that have been chosen by the user. And then the results are the minimum distances from each tour places. Most data of the locations in application are obtained using Google Maps API. However, some other data is saved in Server MySQL
PEMBUATAN PROGRAM APLIKASI PENJUALAN TIKET MUSEUM KERATON SURAKARTA BERBASIS WEB Ita Nilasari; Ery Dewayani; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 1 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v4i1.152

Abstract

Making the program application Surakarta ticket sales web-based Museum is to help staff workers from the Palace Museum to perform transaction processing ticket sales and report generation by using a computerized system. The methodology used in the making of this application program is using SDLC (System Development Life Cycle), where the method consists of the Planning Phase, Analysis Phase, Design Phase and Implementation Phase. Drafting the application program uses multiple helper applications, such as Microsoft Visio 2007 to draft such as Data Flow Diagrams (DFD), Entity Relation Diagram (ERD), Interpersonal Table, Page Hypertest Preprosessor (PHP) as a programming language and MySQL as database , The result of making this application program can assist the Surakarta Palace Museum to facilitate ticket sales transaction process and in preparing reports sales are becoming more efficient and effective.
APLIKASI ONLINESHOP PADA WARUNG AKSESORIS BERBASIS WEB DAN MOBILE MENGGUNAKAN METODE TOPSIS Putri Shafira; Bagus Mulyawan; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v6i2.2649

Abstract

Onlineshop Applications On Warunk Accessories Web-Based and Mobile Using Topsis Method is an application that aims to facilitate the process of selling, recording products and decision support in the selection of suppliers at Warunk Accessories Stores. Applications are used by owners to assess suppliers using Topsis methods and store staff to manage Warunk Accessories stores online and customers to see what products are sold in Warunk Accessories stores, and place orders online. Applications are designed using the PHP and Android programming languages. Application design method using System Development Life Cycle by using Waterfall model. The test results were conducted using User Acceptance Test method and user satisfaction test using questionnaire. With this application can simplify the process of recording data items and buying and selling at Warunk Accessories store. Testing is done using 3 supplier data, after testing the results obtained for the highest value through the system 0.7959 and 0.795 manual. From the test results can be concluded that the application has been running according to the design and the results of application calculations with Topsis method there is little difference with the results of manual calculations.
APLIKASI E-COMMERCE DENGAN REKOMENDASI PRODUK BERDASARKAN PERSONALISASI DAN KARATERISTIK PELANGGAN (STUDI KASUS UD.VICTORY DESIGN) Joshua Octavianus; Viny Christanti; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 2 (2015): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v3i2.3316

Abstract

Aplikasi e-commerce dengan rekomendasi produk berdasarkan personalisasi dan karateristik pelanggan  merupakan aplikasi yang dibuat dengan menggunakan metode Analytic Hierarchy Process (AHP) untuk melakukan personalisasi rekomendasi, metode Fuzzy C-Means dengan atribut RFM untuk clustering pelanggan, dan algoritma FP-Growth untuk menghasilkan rekomendasi produk bagi setiap cluster pelanggan. Data yang digunakan adalah data produk dan data transaksi periode 1 Januari 2014 s.d. 31 Januari 2015 milik UD.Victory Design. Aplikasi yang dibuat dapat menghasilkan rekomendasi produk sesuai dengan personalisasi atau pilihan kriteria dan subkriteria yang ditentukan. Aplikasi ini dapat menghasilkan clustering pelanggan dengan menggunakan data transaksi yang ada, dengan jumlah 2, 3, dan 4 cluster dan nilai threshold sebesar 10%. Kemudian dilakukan evaluasi cluster dengan cluster variance sehingga didapatkan hasil clustering yang optimal adalah pengelompokkan 3 cluster dengan nilai varians terkecil untuk atribut frequency (F) dan monetary (M) sebesar 1.082891 dan 0.630128. Proses rekomendasi produk untuk pengelompokkan 3 cluster menggunakan nilai support count adalah 4 dan minimum confidence sebesar 70%. Berdasarkan hasil pengujian, diketahui cluster 1, 2, dan 3 mendapatkan rekomendasi produk secara berurutan sebanyak dua, tiga, dan satu produk.   Kata Kunci :Analytic Hierarchy Process, Clustering, FP-Growth, Fuzzy C-Means, RFM
PENGGUNAAN METODE COUNTING BLOOM FILTER PADA APLIKASI INTRUSION DETECTION SYSTEM PADA BASIS DATA Eric Winata Jonathan; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i2.3125

Abstract

This intrusion detection system for security in database was developed to help client(s) that uses a database to find out what changes have been made in the database. Intrusion detection system using Counting Bloom Filter (CBF), with transaction records  as training data input to create profile transactions automatically as a set of transactions that will be stored in the CBF, the program will compare the transactions made with the user profile transactions in the detection stage. Testing is done by inserting dummy training datas and transactions that have been known how many malicious transaction in that transactions. Testing is carried out on thirty transaction data that known to be intrusion or not and intrusion detection systems can read all invalid transactions with success rate of 100%. KeywordsCounting Bloom Filter, Database security, Intrusion Detection System, Transaction profile, Web Service.
SISTEM INFORMASI PARIWISATA DI KECAMATAN SIJUK BERBASIS WEB DAN MOBILE Wiratama Hadi Prananto; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 1 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v6i1.2608

Abstract

Sistem Informasi Pariwisata di Kecamatan Sijuk Berbasis Web dan Mobile merupakan aplikasi yang dibuat untuk memudahkan bagi para wisatawan untuk mendapatkan informasi yang lengkap tentang tempat wisata yang terdapat di Kecamatan Sijuk. Aplikasi ini bertujuan untuk mempromosikan Kecamatan Sijuk sebagai salah satu destinasi wisata yang ada dipulau Belitung serta memudahkan wisatawan untuk melakukan pemesanan homestay dan kendaraan. Aplikasi ini dibuat menggunakan bahasa pemrograman PHP dan Android. Metode perancangan menggunakan System Development Life Cycle (SDLC). Pengujian aplikasi ini dilakukan dengan menggunakan metode User Acceptance Test dan untuk pengujian kepuasan user menggunakan kuesioner. Aplikasi ini dapat mempermudah wisatawan menemukan informasi tempat pariwisata serta dalam proses pemesanan homestay dan kendaraan.
APLIKASI HUMAN RESOURCE DEVELOPMENT DENGAN FITUR PEREKRUTAN MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEB Wimvy Nanda Tanius; Bagus Mulyawan; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v6i2.2659

Abstract

Human Resource Development (HRD) is required as a forum for development of all Human Resources (HR) in the company. The task of HRD itself is to conduct attendance per employee, number of employees, accept and reject employees, and perform tasks from interviews for the company itself. Every company must have a division of HRD. Each company is engaged in different fields. Companies are required to recruit employees by HRD departments. The process of selecting prospective employees in a position that is done manually by reading the background of each prospective employee. Therefore, an application for HRD in which the application can determine the right position for prospective employees. Thus it can simplify and accelerate the work of HRD in determining the right job for prospective employees. In the process of placement of this position using the Naïve Bayes method. This app can put everyone in their job positions based on the personality descriptions and skills of each prospective worker.
REKOMENDASI LOKASI WISATA KULINER DI JAKARTA MENGGUNAKAN METODE K-MEANS CLUSTERING DAN SIMPLE ADDITIVE WEIGHTING Angga Saputra; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v7i1.5773

Abstract

Jakarta as the center of the capital city of Indonesia which has culinary attractions that are of interest to visitors from international restaurants to the best traditional Indonesian restaurants. Both are presented with the feel of an elegant colonial building up to a modern nuanced room.Therefore, the K-Means clustering method and Simple Additive Weighting (SAW) are combined to select and classify the data needed in the ranking list of culinary tourism locations in Jakarta that are in accordance with the user's wishes or according to the user's initial location. K-Means Clustering is a method that groups data according to each cluster.Simple Additive Weighting (SAW) is the method used for the ranking process with use preference values. In this study, the K-Means Clustering method will divide the location travel according to distance calculated from the user's initial position to the address of the tourist location, then the SAW method willsort which location best suits the user's wishes. The test results show that the K-Means Clustering and Simple Additive Weighting (SAW) method can buy recommendations on culinary tourism locations with the best ranking from each cluster based on the weight of each criterion and the maximum radius input by the user
Co-Authors Adrian Adrian Agus Toni Ahza Rafie Khalis Albert Jeremy Alvin Alvin Alvin Chandra Andy Wijaya Angga Saputra Arthian Terry Sammatha Sudarthio Aryanatta Paramita Tiratana Aurelius Ondio Lamlo Bryan Aprian Bryan Daniel Pinenda Pasaribu Caesha Rachma Dhani Calvin Alexander Chairisni Lubis Charles Yuliansen Chintia Yusnita Violetta Christian Yacobus Christopher Louis Fabian Daffa Salsabila Daniel Daniel Darius Andana Haris Dedi Trisnawarman Dedofin Dedofin Delya Delya Desi Arisandi Deza Farras Tsany Dhela Tria Afiyanti Diri Anindyah Qonita Dwi Putri Diri Anindyah Qonitah Dwi Putri Dodi Putra Edgar Lawrence Edwin Jayadi Edwin Suryaputra Eriana Retno Putri Eric Ang Eric Winata Jonathan Erica Yewinda Ery Dewayani Ery Dewayani Farenco Farenco Febryan Valentino Tansen Felix Kabonero Tanlimhuijaya Filbert Firdah Sholihah Frangky Selamat Franky Yoga Gabriel Ivan Setyaputra Garneto Alvan Gavrilla, Lioviani George Timotius Harefa Gian Ramanda Gladys Nathashya Tansen Hansenn Dustin Keane Hartanto Hartanto Helga Eva Julia Hendrawan Cahyady Hetty Karunia Tunjungsari Ita Nilasari Jane Syahwalina Kaprica Sandra Janson Hendryli Jeffrey Triguna Jonathan Putra Sugito Joshua Octavianus Joshua Saputra Julio Yan Augusto Kelvin Fernando Pinem Kelvin Kelvin Kevin kevin Kevin Marcello Jonathan Kevin Susanto Lely Hiryanto Lioviani Gavrilla Manatap Dolok Lauro Sitorus Manatap Dolok Lauro, Manatap Dolok Maulana Sandy Dermawan Meirista Wulandari Novario Jaya Perdana Peter Putra Nizar Aditya Putri Dewi Zabita Putri Oktariana Putri Shafira Rachmat Rachmat Raymond Raymond Rayvaldi Harvian Renaldy Cahya Reynold Adiputra Richard Rio Rio Sari Lalita Stefanus Alvin Hartono Stephanie Wijaya Sudono Widjaja Surono Surono Surya Halim Theresia Cynthia Lay TRI SUTRISNO Victor Victor Viny Christanti M Wimvy Nanda Tanius Wiratama Hadi Prananto Yenita Candra Sari Yongky Saputra