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JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)

jiksi
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Published by Universitas Tarumanagara

ISSN : 23028769 EISSN : 23032529 DOI : -

Core Subject : Science, Education,

Computer Science & IT Mathematics Other

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil penelitian kualitatif dan kuantitatif, perancangan sistem informasi, analisis dan perancangan progam aplikasi. Jurnal ini terbit dua kali dalam setahun yaitu pada bulan Januari dan Agustus.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 937 Documents

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PENERAPAN ALGORITMA MAX-MINER UNTUK ANALISIS POLA BELANJA KONSUMEN (STUDI KASUS KAFELOAJA) Marsia Marsia; Jeanny Pragantha; 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

This application is used to produce combination meal for Kafeloaja in order to give the owner advices to make decision in business. In this application the method used are Max-Miner and Market Basket Analysis. Max-Miner is used to find frequent maximal itemset and the result is used to formulate association rule in Market Basket Analysis. The result of this program are menu combinations that can be used by owner to be added as new combination meal.

PENGENALAN WAJAH MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK DAN EKSTRAKSI CIRI INDEPENDENT COMPONENT ANALYSIS Filipus Hanung Nugroho; Tony Tony; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (2014): 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.v2i2.3206

Face recognition is one way that can be used to identify a person. Recognize a person's face is an easy thing to do for humans. But face recognition is a difficult thing to do by intelligent machines, such as computers. The purpose of this application is to see the performance of the ICA method. The results of this experiment showed that the ICA method produces a higher success rate. ICA method produces a good success rate with a 78%-100% success rate. Key words Backpropagation Neural Network, Face Recognition, Independent Component Analysis

KAJIAN TENTANG REKONTRUKSI OBJEK 3D MENGGUNAKAN STEREO VISION DENGAN METODE HARRIS INTEREST POINT DAN RANSAC Filbert Oktariko; Lina Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Rekonstruksi 3D merupakan proses untuk memperoleh kembali informasi objek 3D yang ada di dunia nyata dan menyusunnya kembali ke dalam titik-titik pada komputer sehingga komputer dapat mengolah serta menampilkan informasi yang mirip bahkan sama terhadap objek 3D di dunia nyata.Proses ini diawali dengan mengambil 2 input dari citra kamera yang berbeda tetapi memiliki spesifikasi sama. Proses selanjutnya adalah proses segmentasi otomatis menggunakan Harris Interest Point, Proses Normalized Cross Correlation, dan Random Sample Consensus. Adapun perbandingannya dengan metode segmentasi semi otomatis dengan model warna RGB dan HSV dengan nilai parameter yang telah ditentukan. Dari hasil pasangan titik yang terpilih nantinya akan diambil 8 pasangan titik untuk direkonstruksi 3D.Keberhasilan rata-rata hasil rekonstruksi objek 3D yang didapatkan pengujian dengan segmentasi otomatis sebesar 0% dari 40 kali pengujian sedangkan untuk pengujian dengan segmentasi semi-otomatis sebessar 37,5% dari 8 kali pengujian.

PROGRAM APLIKASI OPTIMASI STOK BARANG STUDI KASUS CV.ASAKU Feridanto Ferdianto
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 1 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Applications are made for inventory optimization case study CV.ASAKU using safety stock, EOQ, moving average and exponential smoothing. The case study used is CV.ASAKU, CV.ASAKU engaged in paper and pulp in cooperation with Sinarmas paper and pulp. The purpose of this system is to help optimizing inventory in CV.ASAKU with various obstacles. The method used is safety stock, forecast and EOQ. Safety stock method is used to keep inventory in order not to run out at the warehouse, judging from the sale of each item that already exists. Forecast method using three methods: the method of moving average, a double moving average and smoothing exponetial. This method is used to predict sales for the coming months and predicted results are used for calculation of EOQ method. EOQ method used to calculate the amount of each item to be purchased at the purchase time period is calculated from the cost of shipment and storage of goods in warehouses, this method serves to reduce the cost of ordering goods and storage of goods. From the three methods produce estimates of inventory at CV.ASAKU.

PEMBUATAN APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT BERBASIS WEB MENGGUNAKAN METODE K-MEANS Aryanatta Paramita Tiratana; Bagus Mulyawan; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (2019): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

PT. Sugi Jaya Mandiri is a company specializing as a vendor of industrial equipment. The company has issues in regard of sales data processing and customer service, where the company manually process. Another point to mention is the company's limitations regarding customer service, where customer's inquiries and/or consultations must be sent manually, either by phone or email, thus customers have virtually no channels in which to voice suggestions, critiques and/or complaints towards the company. Considering the company's substantial amount of customers, the current method proves ineffective to provide an adequate service for the customers. It is hoped to make it easier to process customer and sales transaction data, and improving relations between the company and the customers using the potential customer selection feature using the K-Means method. The data used for customer clustering is the company's sales transaction data covering one year time period, starting from 2017. From the clustering results, it could be shown that there is a group of potential customers, totalling four customers and non-potential customers totalling forty customers. Evaluation results using the Silhouette Coefficient method in figuring the potential customer and non-potential customer using K-Means method is 0.85.

PEMBENTUKAN POLA PENGAMBILAN MATA KULIAH MENGGUNAKAN ALGORITMA FREQUENT PATTERN TREE Ester Ester
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): 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.v2i1.3169

The application aims to make the data stored courses by the university student becomes more compact due to the pattern of courses so that the data in the database can be stored and processed in less time. The application uses Frequent Pattern Tree (FP-tree) algorithm which is used to create a tree that shows frequent items list (list of data subjects). The experiment results showed that the total records of new application is more compact than old application, the average time to save data into the database requires less time by using new application and the average time of university students attendance list report data processing requires less time by using new application. However the average time of Kartu Studi Mahasiswa (KSM) report data processing takes a little longer than old application, this’s because the root (subject parent) inspection process to every subject pattern which is formed in polamatakuliah table. Key wordsFP-Growth, Frequent Itemset, Frequent Pattern Tree, PHP, Pola Mata Kuliah

PEMBUATAN PROGAM APLIKASI INVENTORI DAN PENJUALAN PADA TOKO MITRA SAMBAS Ailsa Bella; Tony Tony
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Toko Mitra Sambas is located in Pontianak, West Kalimantan. Toko Mitra Sambas is a store that sells a variety of food and some grocery. Toko Mitra Sambas still using manual systems that make store have a some trouble for selling, purchase and inventory system. This has led many businesses to react quickly in adopting computerized system in promoting their business and compete with their competitors. Particularly through the application program that is increasingly widespread among the public.Therefore, if businesses do not adopt the computerized system, sooner or later they will have a huge disadvantage in terms of profitability and efficiency. Business, like a conventional store that specializes in food and furniture, also need a new computerized system to handle with daily activities, such as sales, orders, and purchases, so that data is added, search, edit, and delete it becomes easier and more efficient in terms of time and cost. This computerized applications intended to address the difficulties faced by the user system. If this system will be implemented in the future, hopefully useful for Toko Mitra Sambas.The steps of the manufacturing program includes: data collection, data analysis design method with a structured design method includes diagrams context diagram, ERD implementation and testing program. Applications designed using SQL Server 2012 and Visual Studio 2012. From the test results can take several conclusions, among which are: the application program can easily create reports accurately and sales transactions and inventory system regularly.

INTEGRASI DATA DENGAN WEB SERVICE PADA APLIKASI INDEKOST ONLINE BERBASIS WEBSITE DAN MOBILE Ardi Sugiarto; Tony Tony; Bobby Tumbelaka
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

The information system which until now growing rapidly create all the jobs in this life many who have gone aided by information technology. The technology can help more easily, quickly, safely and effectively clear it is helpful to anyone who use it. Including to assist students in finding a boarding house when they study / lectures as well as the owner of the boarding house in home market. The need for a boarding house is important, since the students who did the study for a long time and needed a place to stay in the area. And it makes the issue of how these students can seek the appropriate boarding houses, given some constraints such as do not know the area, or have a friend who can demonstrate appropriate boarding house for students.The management system is a system that embodies or can be a friend to the students who feel confused in finding an appropriate boarding houses as well as assist in marketing the owner of a boarding house online. System focused in finding the appropriate criteria for boarding up with the booking to boarding room can be done with this system. Success in implementing this system is to work well to help the students in the search for the location of the appropriate boarding house. From the search, until the online booking can be done with media E-mail. As well as providing benefits to the owner of the boarding house to be able to market the house fullest.

MARKETPLACE CHINESE FOOD DENGAN SISTEM REKOMENDASI MENGGUNAKAN ITEM-BASED COLLABORATIVE FILTERING Yanto Yanto; Dyah Erny Herwindiati; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Chinese food (typical Chinese cuisine) which is one of the most popular foods in the world. Almost all over the earth, there are always residing Chinese restaurants. Along with the development of culinary in Indonesia, Chinese food restaurant owners began to carry out certain specifications on the menus on offer. As customers will definitely be confused in the choice of food, when the Restaurants have more than one menu. Therefore we need a Marketplace with a recommendation system with the Item-based Collaborative Filtering method. Marketplace is an inter-organizational information system where buyers and sellers in the market communicate information about prices, products and are able to complete transactions via electronic communication channels. There are several stages in using this method, based on first assessing the data, then entering the calculation phase of the similarity between items and then calculating the prediction of item ratings for users.

SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SUPPLIER PADA PT. AIKOVITO Cynthia Marcelina; Dedi Trisnawarman; Tony Tony
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.v3i2.3304

PT. Aikovito adalah salah satu perusahaan kontraktor desain interior yang terletak di perumahan Metro Permata. Saat ini PT. Aikovito memillih supplier dengan cara manual. Pada proses pemilihan supplier, bagian pembelian seringkali menggunakan pandangan subjektif dan menimbulkan beberapa masalah. Oleh karena itu, dibuat sistem khusus yang menunjang pemilihan supplier dengan enam kriteria penunjang yaitu kualitas, harga, pembayaran, reputasi perusahaan, ketersediaan barang dan pengiriman. Sistem penunjang keputusan pemilihan supplier ini menerapkan metode perhitungan AHP (Analytical Hierarchy Process). Metode perancangan yang digunakan program aplikasi ini adalah metode System Development Life Cycle (SDLC). Bahasa pemograman yang digunakan adalah PHP dan basis data yang digunakan adalah PHP MySQL. Sistem penunjang keputusan ini mengelola dan menampilkan informasi perusahaan supplier. Dengan dibuatnya program aplikasi penunjang keputusan ini diharapkan dapat mempermudah PT. Aikovito dalam memilih supplier, mencegah terjadinya kekeliruan pemilihan supplier yang dapat mengakibatkan kesia – siaan , serta meningkatkan efisiensi perusahaan dalam pemilihan supplier yang tepat yang akan berdampak pada kelancaran proyek. Key words AHP (Analytical Hierarchy Process), Sistem Penunjang Keputusan, Supplier

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Editorial Address Gedung R Lantai 9 Kampus 1 Jl. Let. Jend. S. Parman No. 1 Jakarta 11440

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Abstract

Contact Name
Darius Andana Haris

Contact Email
dariush@fti.untar.ac.id

Phone
+6215676260

Journal Mail Official
jiksi@fti.untar.ac.id

Editorial Address
Gedung R Lantai 9 Kampus 1 Jl. Let. Jend. S. Parman No. 1 Jakarta 11440

Location
Kota adm. jakarta barat,

Dki jakarta

INDONESIA