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Darius Andana Haris
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jiksi@fti.untar.ac.id
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INDONESIA
JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
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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SISTEM INVENTORI DAN PENJUALAN BERBASIS WEB DAN ANDROID PADA TOKO CAHAYA ARLOJI MENGGUNAKAN KONSEP 7C FRAMEWORK Andrew Jhosua; Desi Arisandi; Manatap Dolok Lauro
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 | Full PDF (269.835 KB) | DOI: 10.24912/jiksi.v7i1.5772

Abstract

Web and Android-based Inventory and Sales Systems at Cahaya Arloji stores using the 7C Framework concept is an application that aims to assist the process selling and product record. The application is used by owners and staff to manage Cahaya Arloji stores online, while for cutomers is used to see any  products are being sold at Cahaya Arloji stores, and help to make online order. Application designed using the PHP and Android programming languages. The application design method is using the System Development Life Cycle and where using the Waterfall model. The results of the tests were tested using User Acceptance Test method and user self-satisfaction using a questionnaire. With this application, it can helping the process of record buying and selling at Cahaya Arloji stores
KAJIAN TENTANG SISTEM PENGENALAN SEL DARAH PUTIH MENGGUNAKAN NEAREST FEATURE LINE DENGAN INTERPOLASI LINIER DAN SPLINE Kelly Anthony; Arlends Chris; Lina Lina
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.v1i2.3136

Abstract

The application system designed is intended to help experts in medicine to diagnose a disease by recognizing types of white blood cells. The feature lines are developed by using the linear, quadratic spline, and cubic spline interpolation methods. The results of experiments show that the development of  feature lines using linear interpolation gave better result than the spline interpolation method.Keywords : Nearest Feature Line, Principal Component Analysis, White Blood Cell, Linear, Spline.
Customer Relationship Management Pada Aplikasi Pengelolaan Pemesanan Makanan Nasi Bakar Lovely Berbasis Web dan Mobile Christian Yacobus; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 5, No 2 (2017): 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.v5i2.1115

Abstract

The Sole proprietorship of Nasi Bakar Lovely is a Sole proprietorship which is engaged in culinary with its main menu is Nasi Bakar with various kinds of contents. The problem is lack of media to reach customers who do not know the existence of this Nasi Bakar Lovely , this causes the Nasi Bakar Lovely just make Nasi Bakar if there are customers who order it, this thing makes Nasi Bakar lose competitiveness with other businesses and can go out of business. This paper offers a solution to solve the problem by designing a web-based application using C# and android programming language where the process of making this application is made by using model waterfall as the model. With the existence of such a solution is expected the owner of Nasi Bakar Lovely still can compete and not fold.
APLIKASI MOBILE DAN WEB VIDEO CONFERENCING (KOLABORASI) Nofantarius Novantarius
Jurnal Ilmu Komputer dan Sistem Informasi Vol 5, No 1 (2017): 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.v5i1.786

Abstract

Aplikasi yang dikembangkan adalah aplikasi mobile dan web video conferencing. Memiliki fitur video conference untuk mempermudah komunikasi, real-time chatting memudahkan viewer mengajukan pertanyaan, file sharing untuk upload dan download file, dan location sharing untuk mengetahui lokasi dari user yang terhubung. Sistem dikembangkan dengan menggunakan Quickblox API, Cordova Framework, NodeJS, Heroku Toolbelt untuk terhubung dengan server heroku, serta SQLite DB Browser untuk pembuatan database. Pengujian telah dilakukan pada setiap modul yang ada pada aplikasi menggunakan Blackbox Testing, pengujian delay time, pengujian audio dan pengujian lokasi. Pada pengujian delay time, rata-rata delay time dari total waktu pengujian selama 80s dengan bandwith 10 Mbps adalah 114.1 ms dan masih tergolong dalam kategori kualitas baik. Pengujian audio, terhadap 11 user, didapat hasil kualitas suara akan terdengar kecil apabila tidak menggunakan bantuan headset. Pengujian lokasi sudah dapat berfungsi dengan baik karena lokasi yang ditampilkan dari aplikasi sudah mendekati lokasi yang sebenarnya dari user yang terhubung.
PROTOTYPE SISTEM INFORMASI PARIWISATA KABUPATEN WONOGIRI DAN SEKITARNYA DENGAN GOOGLE MAPS Elysia Putri; Jap Tji Beng; Wasino Wasino
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (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.v3i1.3265

Abstract

     Tourism is one of the sectors that can be relied upon in economic activity because it has potential, priorities, and generate tremendous income, especially for the areas that have the potential for an extensive tour with objects and tourist services are available such as Wonogiri district. Presentation of tourism information required as a guide for tourists who want to visit. Problems encountered, information about tourism’s wonogiri is still lacking and led to information about the location and routes are limited, so tourists who visit difficult. By using GIS as a tool of geographic analysis, can be developed into a tourist information system that contains a map showing the location of objects and tourist services along with descriptions. Maps are displayed loaded with maps google services. The purpose of this system is to present tourism information system that displays data associated with the presence of the tourist attractions in Wonogiri with google maps. This system helps the tourists to find the location of the attractions that they had never known before, and get information about the tour including hotel facilities, accommodation, restaurants, and routes between the object and tourist services as well as the distance they will go. Key wordsInformation Systems Tourism, Geographic Information Systems, Google Maps, SIP, Tourism,  Wonogiri District
PENDETEKSIAN PENGGUNAAN MASKER WAJAH DENGAN METODE CONVOLUTIONAL NEURAL NETWORK Bunardi Budiman; Chairisni Lubis; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1236.263 KB) | DOI: 10.24912/jiksi.v9i1.11556

Abstract

“Face Mask Detection Using the Convolutional Neural Network” is a PC based program that aims to detect and classify human beings whether a person is using a mask or not with access through a webcam camera.  This program is created using the Python language with several libraries. The classification of face masks uses the Convolutional Neural Network method with the MobileNetV2 architecture. Meanwhile, human face detection uses the Haarcascade Classifier. How the program works is by accessing the connected camera and if the person detected is wearing a mask, the person will be labeled "using a mask" and given a green box to mark the detection along with the analysis value, whereas if not, it will be labeled "not using a mask" and a red box with also the predicted value. From the test results, it can be proven that the accuracy program is good enough to detect the use of face masks with an average object detection accuracy of 88.53% and the classifier for the use of mask an average of 84.45%.
PERANCANGAN GAME EDUKASI HAPPY PUDING BERBASIS MULTIMEDIA Dina Kurniawati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (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.v1i1.3067

Abstract

The purpose of the thesis writing educational game Happy pudding is to produce a game that can help teach you how to work materials of food and fruits in the process of making pudding. The usefulness of this game is to help players learn the materials commonly used to make pudding while playing, adding to the knowledge of a player who had not known about the benefits and nutrients contained in food ingredients and fruit in the pudding expected to know after playing this game , as learning how to make pudding and entertainment for children, adolescents, or adults
REKOMENDASI CALON KARYAWAN MENGGUNAKAN FUZZY INFERENCE SYSTEM PADA SISTEM REKRUTMEN PT. SEMANGAT SEJAHTERA BERSAMA Margaret Anggarwati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (61.764 KB) | DOI: 10.24912/jiksi.v4i2.119

Abstract

Recommended Employee Candidate with Fuzzy Inference System for Recruitmen System at PT Semangat Sejahtera Bersama is a website application that can connect between applicants (job seekers) and companies (employers). Applicants can find information about job vacancy available. Recommended Employee Candidate Applications created using Fuzzy Inference System to process recommendation applicants. Fuzzy Inference System Mamdani can give applicants recommendation in accordance with the prescribed criteria. Based on test results, it is known that the determination of the value of between criteria influence on the final result. The testing process was conducted on 20 samples from the company and another 10 random samples. The test results are corresponding with what the company want, from the result the 2 applicant that’s not chosen got the lowest point from the system output.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JENIS ANJING PELIHARAAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEB Calvin Alexander; Bagus Mulyawan; Desi Arisandi
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 | Full PDF (207.503 KB) | DOI: 10.24912/jiksi.v7i1.5798

Abstract

The Dog Breed Decision Support System is a Web Application made using the Simple Additive Weighting method. This application can give you dog breed recommendations based on user preferences. In the making of this app, the data and information of dog breeds are collected through Dogtime.com. Then, the weighting is done by the user of this app by determining the weight of each available criteria using the provided user interface which is then calculated with the Simple Additive Weighting method. The result is a relevant, personalized recommendation of dog breed for each user.
Clustering pada Mikrobloging Twitter menggunakan K-Means Meiriani Tjandra; Viny Christanti; Jeanny Pragantha
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.v1i2.3141

Abstract

Twitter merupakan salah satu layanan mikrobloging yang sangat populer yang memungkinkan penggunanya berbagi dan membahas tentang segala hal termasuk berita, gosip, informasi pekerjaan dan berbagai macam promosi produk. Tweets merupakan pesan teks berisi informasi yang disampaikan di Twitter.Dalam penelitian ini clustering digunakan untuk mengelompokkan tweet ke dalam cluster berdasarkan nilai centroid yang ditentukan secara acak. Nilai ini menjadi salah satu bahan percobaan untuk memperoleh hasil clustering yang optimal. Hasil akurasi clustering terbaik dengan metode K-Meansyaitu sebesar 90% dengan menggunakan kumpulan tweets sebanyak 100 tweets. Key wordsTwitter, Clustering, K-Means.

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