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Darius Andana Haris
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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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Perancangan Program Aplikasi Buku Induk untuk SDK 4 Penabur Steven Martinnus; Dali Santun Naga
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.v5i2.1129

Abstract

This Master Book Application Program for SDK 4 Penabur School was created because the previoslly system still manually uses manual administration book. This application was developed with the aim to simplify the process of storing student data and storage of learning results. In addition to makes it easier for staff to look for students data without having to take a long time. This application is done by using System Development Life Cycle (SDLC). Supporting Software such as Adobe Dreamweaver, PHPMyAdmin, Microsoft Word, Microsoft Visio, and Notepad ++. This application is built using PHP Programming languages and SQL database. This application has been tested using user acceptance testing and black box testing. This master book application can already be used in SDK 4 Penabur Jakarta
IMPLEMENTATION OF MINIMUM STOCK DETERMINATION USING PREDICTION AND ECONOMIC ORDER QUANTITY (EOQ) METHOD Kelvin Fernando Pinem; Bagus Mulyawan; 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 (1192.618 KB) | DOI: 10.24912/jiksi.v9i1.11586

Abstract

In an effort to get competitive prices, one must be able to organize the planning of the availability of the goods it owns so that it can maintain a balance between demand and the existing stock of goods (supply). This application aims to create a precise forecasting system that is useful for determining the inventory of goods in stock that must be done in accordance with the old sales data that have occurred. The method used in this research is forecasting to predict or predict the inventory of goods, then calculating the Economic Order Quantity (EOQ) to return the number of items ordered which will ultimately reduce the cost of inventory. The forecasting method used is Single Exponential Smoothing (SES), Double Exponential Smoothing (DES). The results of data testing on the Forecast method using Forecasting used are Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES). The smallest MAD results were obtained from each of the Forecast methods. After forecasting, the best forecasting method will be chosen which has the value of Mean Absolute Deviation (MAD), mean quality squared (Mean Square Error), the proportion of mean absolute error (Mean Absolute Percentage Error). This Economic Order Quantity (EOQ) method helps to determine the optimal purchase frequency. How to determine and the optimal frequency of purchases.
Sistem Tanya Jawab berbasis Informasi Media Online Niki Valentine; Viny Christanti
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.v3i1.3283

Abstract

Sistem tanya jawab merupakan sistem yang dapat menjawab pertanyaan berdasarkan koleksi dokumen yang tidak terstruktur dalam bahasa alami. Penelitian sistem tanya jawab berbasis media sosial dan media online lain ini berfokus pada pencarian jawaban dari koleksi dokumen bahasa Indonesia yang berhubungan dengan ilmu pengetahuan alam untuk pertanyaan yang bersifat factoid maupun non-factoid. Dalam penelitian dilakukan dua percobaan yaitu percobaan untuk sistem tanya jawab factoid dan non-factoid. Masing-masing percobaan akan dilakukan terhadap dokumen dan tweet. Sistem tanya jawab factoid secara keseluruhan menunjukkan hasil terbaik dengan nilai MRR sebesar 0.4885 untuk dokumen dan 0.274 pada tweet. Sistem tanya jawab nonfactoid untuk dokumen menghasilkan akurasi sebesar 98% dan untuk tweet menghasilkan akurasi  sebesar 84%. Key wordsBoolean Model, Factoid, Nonfactoid, Information Retrieval, Paragraph-based Passages, Pengenalan Entitas, Question paraphrase, Sistem Tanya Jawab, Vector Space Model
PENGENALAN TULISAN TANGAN DENGAN PERBAIKAN GORESAN MENGGUNAKAN INTERPOLASI BEZIER DAN SMOOTHING Ronald Ronald; Chairisni Lubis; Agus Budi Dharmawan
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.v1i1.3087

Abstract

This system can process images in the form of letters handwriting into digital text writing and at the time of processing, the damage from the handwriting image repaired first in order to be a form letter similar to the actual shape of the letter so that it can add recognition accuracy in using Bezier interpolation and smoothing scratches on image which is then carried handwriting feature extraction process with Global Histogram and then calculated the distance of the feature extraction with Manhattan distance or Euclidean Distance.Test results using Manhattan Distance that can achieve 80% recognition rate on number reognition, greater than the Euclidean Distance that can achieve 70% recognition rate on number recognition. The successful recognition of many affected by the similarities in the character of handwriting. In particular the test database and test images are split between uppercase, lowercase and numbers, it appears that the percentage of the recognition  improved quite a lot.
PEMBUATAN GAME PERTEMPURAN AMBARAWA DENGAN MENGGUNAKAN UNITY 3D Andreas Hernawan; Jeanny Pragantha; Darius Andana Haris
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 | Full PDF (77.964 KB) | DOI: 10.24912/jiksi.v4i1.137

Abstract

Game “Pertempuran Ambarawa” adalah game 3 dimensi, yang pemainnya diposisikan sebagai pejuang Indonesia yang ikut serta dalam mempertahankan kemerdekaan Indonesia. Pemain harus menyelesaikan tugas, bertahan hidup hingga pertempuran selesai, dan juga menghabisi musuh-musuh yang ada untuk menyelesaikan pertempuran. Game ber-genre third person shooter ini bertema sejarah perjuangan bangsa Indonesia sehingga game ini memiliki unsur edukasi khususnya dibidang sejarah. Game ini di peruntukkan platform Windows (PC) dan dibuat menggunakan game engine Unity 3D. Desain model menggunakan Blender 3D. Pemain menggunakan controller keyboard dan mouse. Pengujian dilakukan dengan metode blackbox, alpha testing oleh pembimbing, dan beta testing melalui survei pada 20 user. Hasil pengujian menunjukkan bahwa game Pertempuran Ambarawa dapat menyampaikan cerita sejarah Indonesia dengan cukup baik, memiliki desain karakter yang menarik, dapat menghibur pemainnya, selain itu juga dapat memberikan informasi kepada pemainnya.
KAJIAN TENTANG APLIKASI AUGMENTED REALITY BERBASIS MARKER Debora Melinda; Lina Lina; Agus Budi Dharmawan
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 | Full PDF (87.879 KB) | DOI: 10.24912/jiksi.v4i1.142

Abstract

In this paper,  marker detection and pose estimation algorithms are presented for Augmented Reality applications. This marker detection algorithm was designed specially for square-shaped marker. It consists of line detection, corner detection, and square-shaped detection. The pose estimation algorithm is used involving intrinsic and ecstrinsic paramater of camera. The position of a marker can be known from the ectrinsic parameter of camera which is translation and rotation.  Translation and rotation ocurr in three coordinate axes, which is x,y,and z.The translation value can be obtained from the midpoint of the marker, and the rotation value can be calculated with rotation matrix. Several experiments have  been conducted on various images and video sequences. The results of the experiments show that the algorithms can detect marker in various angles and estimate the pose well that the user of the application can interact with the object from digital world.
PEMBUATAN APLIKASI E-COMMERCE CUSTOMIZE PAKAIAN DAN PREDIKSI STOK DENGAN MENGGUNAKAN METODE REGRESI LINEAR SEDERHANA Febryan Valentino Tansen; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.135 KB) | DOI: 10.24912/jiksi.v7i2.7369

Abstract

Bigoneshop is an online store that sells various types of clothing. In this era, there is a lot of interest from buyers who want to buy clothes by designing it themselves. Therefore, a new innovation will be made from the world of clothing, website that sells various kinds of clothing and will apply editing or design features directly to the Bigoneshop website and can request new clothes. So, it will provide flexibility for buyers to design their clothes and make it easier for buyers when making transactions. Editing features and requests clothes are using HTML 7 with the fabric.js and canvas libraries. In addition to the above features, a feature will be made to predict the stock that is intended for the admin Bigoneshop website. With this feature, it is expected to reduce errors in the process of providing goods. In this feature you will use the Simple Linear Regression method to make the prediction process. From the results of the tests conducted, it was found that with custom clothing websites and stock prediction features, it can make it easier for buyers to customize clothing online and very helpful for admin in predicting stock.
PEMBUATAN PROGRAM APLIKASI PENJUALAN INVENTORY DAN PENGIRIMAN BARANG BERBASIS WEB PADA DUNIA MEGA DIGITAL Bernard Dean Sofli; Tony Tony; 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.v2i1.3166

Abstract

Dunia Mega digital is a company engaged in selling digital printing services, in this case the services offered in the form of brochures, banners,  and the others are related to digital printing. Currently Dunia Mega Digital doesn’t have a computerized system to support the company’s performance.  The main purpose of the system sales, inventory, and delivering is to increase performance of sales marketing. The advantages of this project are customer can order product without meet the company, also can order anytime he want. This system is made from SDLC method containing planning, analysis, design, implementation, testing, and maintenance. Key wordsPenjualan, inventory, tawar online, Percetakan, Digital Printing
Sistem Pakar Diagnosa Penyakit Kulit di Bagian Wajah dengan Metode Bayesian Probability dan Gray Level Co-Occurrence dan Color Coherence Vector Willy Wrekso Atmodjo
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.v5i2.1134

Abstract

This expert system uses the Bayesian Probability method for diagnosis with experts and GLCM and CCV methods for diagnosis with photo imagery. With the Bayesian method the user should choose the symptomsl, while for the image method the user is expected to input the image to be used. Expert system is created by using visual studio program with Visual Basic programming language. This expert system is used for users can diagnose the onset of facial skin diseases experienced. Testing is done by blackbox testing method. The test results showed that expert system with Bayesian Probability method and GLCM and CCV image method showed good and accurate result
¬Sistem Dokumentasi Kurikulum, Penawaran Mata Kuliah, dan Alokasi Dosen Pengajar (Studi Kasus Fakultas Teknologi Informasi Universitas Tarumanagara) Stevy Lie; Lely Hiryanto
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.v3i1.3288

Abstract

System of curriculum management, class offers, and allocation of lecturers is made by using Naive Bayes to produce curriculum data, class offers, and allocation of a class lecturer. The sample case is Faculty of Information Technology at Tarumanagara University. Naive Bayes is used to acquire class opened and the number of classes that need to be offered in the new semester. The test results show has success to do manufacturing system, however can only offer per class. Kata KunciAlokasi Dosen Pengajar, Fakultas Teknologi Informasi Universitas Tarumanagara, Naive Bayes, Penawaran Mata Kuliah, Dokumentasi Kurikulum

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