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Darius Andana Haris
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jiksi@fti.untar.ac.id
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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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PENDETEKSIAN DAN PENGENALAN JENIS MOBIL MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE DAN CONVOLUTIONAL NEURAL NETWORK Calvin Geraldy; Chairisni Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 2 (2020): 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.v8i2.11495

Abstract

Car Type Detection and Recogniton system is an application that is developed using You Only Look Once (YOLO) and Convolutional Neural Network (CNN) algorithm. This application purpose is to detect and recognize the car image from the data input. In this application the input image will be divided into two parts, namely the training image and test image. For the training image, the first step, the training image will be divided into two process stages, namely detecting the image of a car and searching for the unique features of a car.To detect the image of the car, the image will be processed to detect parts of the image of the car and not the car using the YOLO method. After obtaining a part of the car image, the image of the car will be saved as a detection model. The image that has been detected will be learning the car image by the CNN method. For the test images of the stages carried out as in the training image, after the image of the car is detected, an introduction will be made based on learning that has been done with the CNN method to obtain output in the form of a car that is successfully recognized and detected will be labeled by the application.
PEMBUATAN PROGRAM APLIKASI INVENTORI PADA PD KAPUAS Kiki Kiki; Desi Arisandi
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.v6i2.2644

Abstract

The aim of this thesis is to assist the process of listing and checking items as well as facilitating the transaction process in PD. KAPUAS storehouse. The Method used in developing this application program is SDLC (System Development Life Cycle). This application is desktop based that holds informations regarding PD. KAPUAS inventory system. The use of this application is to supervise the product acquisition in PD. KAPUAS storehouse. In addition to supervising the items, this application could generate reports with computerized one. Those reports are; received items, report of the exit items, also report of return items from suppliers. This application was designed with Visual Studio 2012, using SQL Server Management Studio 2012 as the database system, Crystal Reports is also used to generate the reports.The testing phase results gave conclusion that the system created is able to be used, and could help PD. KAPUAS to monitoring their inventory.
KAJIAN TENTANG APLIKASI AUGMENTED REALITY DENGAN DETEKSI TELAPAK TANGAN Jun Can; Agus Budi Dharmawan; Lina Lina
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.v4i1.157

Abstract

In this application, performed in real time by using a camera to detect hand so it can are added a 3-dimensional object. Stages in this application is the first to capture the image of hand on the camera and then converted into YCbCr image to facilitate detection of hand. Then the image of YCbCr classified in the form of hand and not a hand with a change to binary image according to the range of values Cb and Cr. After that, the image thinning using the method thinning zhang zuen. Image thinning, will recognize hand area by looking for the top, left, right and bottom hand detected. After that, will be calculated translational hand detected from a central point and determine the rotation, so that the object can be added above hand. Based on the test results can be detected with a good hand if a bright light on hand and object are added doesn’t match the rotation of hand because it can’t recognize the fingers.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN KINERJA KARYAWAN TERBAIK CV. BINTANG TERANG MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Fandy Fandy; Wasino Wasino; Desi Arisandi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (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.v7i2.7385

Abstract

CV. BINTANG TERANG is a company engaged in distribution. CV. Bintang Terang requires a decision support system to determine the best employee performance in the company. The method that will be used is the Simple Additive Weighting (SAW) method. The SAW method is used to determine the best employee performance appraisal which later results from the calculation of the SAW method will be used as the best solution. Based on the research conducted, it was concluded that the Decision Support System Application Program to Determine the Best Employee Performance in the company can help the admin and manager in determining the best employee performance
PERANCANGAN APLIKASI PENJUALAN BAJU BERBASIS WEB Richard Richard; Desi Arisandi
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.v2i1.3181

Abstract

Web-based sales information system are system in the form of a website that can be accessed through the internet. This web site can be accessed through any computer device that connects to the internet around the world. So everyone can see this website. This website can also be accessed 24 hours a day.To simplify management of sales systems and promote the clothing sales as well as increase sales and competitiveness, as well as simplyfy customers to buy clothes, the authors designed a clothing sales application with the title "Fashion WB". This new system already can be used for online sales transactions. The used method is the SDLC (System Development Life Cycle) and Protoyping KeywordsWeb-based sales information system, SDLC (System Development Life Cycle), Prototyping
PENGESTIMASIAN IMPERVIOUS SURFACE AREA DATA LANDSAT DENGAN MULTIPLE LINEAR REGRESSION Steven Steven
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.v2i1.3187

Abstract

This application uses multiple linear regression for its method. This method useful for making regression model for making estimation appliances which will be used in the testing process. The way how to making the model will be helped with the matrix method of approach by Norman Drapper.This research uses Landsat image for band 1, 4, and 5, and also the high resolution image of Geo-Eye. The use of Landsat imagery is to obtain the pixel value for each pixel which is its characteristic of an image. And the reason for using the Geo-Eye imagery is for determine the value of impervious surface area of the Landsat image which we have gotten, for training process. Then from the made regression model is used for estimating an image, then the image will be differed which is considered to be impervious surface area and which is not.                 Key wordsImpervious surface area, multiple linear regression, matrix approach Norman Drapper
SISTEM INFORMASI GEOGRAFIS PEMETAAN PERMASALAHAN DESA Feryan Hadipurwanto; Dedi Trisnawarman; Zyad Rusdi
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 | DOI: 10.24912/jiksi.v4i2.96

Abstract

The purpose from this writing is to make an application that mapping issues in Sumbersari Village, the existing issues in here are natural disasters, dry season which never end, brawl, or typhoon. The purpose not just discuss about existing problem but also discuss about village profile, total population, village program development however the main writing is about mapping issues, results to be achieved is that when we mapping about the problem and display it in website. the information that we given can be useful to village government and villagers. The word useful here that we can help government to tell that there is problem here in the village and need to be look after and resolved. As for the Research Methods, The method used is Survey and  Secondary. The data that already obtain was from Books. The final result is this website can provide useful information to Government about existing problem and to villagers and the problem can be resolved quickly. The other information like total information can be useful to Sumbersari Village to be more developed than before.
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
PEMBUATAN PROGRAM PEMESANAN DAN PENJADWALAN PENGGUNAAN LAPANGAN FUTSAL BERBASIS WEBSITE Aditya Rizki Alkautsar; Ery Dewayani; Wasino Wasino
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 2 (2021): 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.v9i2.13103

Abstract

Olahraga indoor kian diminati karena memberikan kenyamanan bagi para pemainnya saat melakukan aktivitas olahraga tanpa harus terkena hujan ataupun terpapar sinar matahari secara langung, dan futsal merupakan salah satu olahraga indoor yang banyak diminati oleh berbagai kalangan. Sistem yang dibuat adalah Program Pemesanan dan Penjadwalan Penggunaan Lapangan Futsal Berbasis Website. Pembuatan sistem ini bertujuan untuk memudahkan proses pemesanan lapangan, pembayaran, pengaturan penjadwalan, serta pengelolaan penggunaan lapangan futsal. Metodologi pengumpulan data yang digunakan dalam penelitian ini yaitu wawancara dan observasi. Sedangkan, metode yang digunakan dalam pengembangan sistem ini adalah metode System Development Life Cycle (SDLC) dengan model Waterfall. Bahasa pemrograman yang digunakan dalam pembuatan sistem ini adalah bahasa pemrograman PHP, HTML, CSS, dan MySQL sebagai basis datanya. Kemajuan dalam bidang teknologi informasi telah berkembang dengan sangat pesat, hampir semua orang telah saling terhubung melalui koneksi internet. Dengan jaringannya yang berskala global dan kemudahan dalam mengaksesnya, internet memiliki peranan penting dalam kehidupan manusia saat ini, Salah satu peranan penting internet adalah internet dapat digunakan untuk berbagai macam aktivitas bisnis. Pembuatan sistem informasi berbasis website dipilih karna kemudahan dalam pengaksesan dan pengoperasiannya. Dengan adanya website ini juga dapat dimanfaatkan oleh pihak penyedia lapangan futsal untuk melakukan promosi serta menawarkan berbagai fasilitas yang ada
KAJIAN TENTANG SISTEM PENGENALAN SEL DARAH PUTIH DENGAN METODE FLVQ Christina Christina; Lina Lina; Arlends Chris
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.v1i2.3120

Abstract

White blood cells recognition is developed to help the medical world in diagnosing deseases. In this paper, an artificial neural network algorithm, Fuzzy Learning Vector Quantization is used to recognize the white blood cells. A total of 198 images of white blood cell were used, and were divided into five classes, which are Basofil, Eosinofil, Limfosit, Monosit, and Neutrofil. Experiment was done in 11 types, which are Greyscale, Red, Green, Blue, Hue, Saturation, Value, RGB, HSV, RGB by Voting, and  HSV by Voting. Experiment was also done using different value of β and γ, the constant values to increase and decreasing the fuzziness of the reference vectors. In the first experiment the ratio of the training images and testing images were 3:2, and in the second experiment, the ratio were increased to 3:1.  Experiment using HSV by Voting has shown a better recognition rate among the others

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