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Darius Andana Haris
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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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TRACKING TRANSAKSI PORTOFOLIO ASET INVESTASI SAHAM PERHITUNGAN AVERAGE PRICE Bagus Mulyawan; Manatap Dolok Lauro; Agus Toni
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17848

Abstract

Pantau portofolio investasi saham besar di beberapa platform investasi yang berbeda. Sulitnya pemantauan aset tetap membuat sulitnya menentukan rata-rata dan nilai akhir dari suatu portofolio investasi saham, yang berdampak pada ketidaktepatan  keputusan investasi. Oleh karena itu, diperlukan suatu sistem  yang dapat membantu investor dalam memilih jenis produk keuangan dengan menghitung return dan risiko yang diharapkan serta memantau portofolio investasinya sehingga dapat mengambil keputusan investasi yang tepat.        Metode yang digunakan untuk menentukan nilai harga saham adalah metode Weighted Average, yang mempertahankan validasi pedoman perdagangan investasi. Kerugian pada saat berinvestasi dalam suatu kebijakan investasi saham diminimalkan sehingga hasil dari portofolio investasi saham tersedia dalam bentuk nasabah atau sebagai total nasabah.        Aplikasi ini membantu pedagang swasta menemukan catatan keuangan  lebih efisien dan meningkatkan, dan menemukan kerugian dan keuntungan dalam transaksi investasi saham. Aplikasi ini memungkinkan Anda untuk melihat banyak pelanggan secara bersamaan, tidak hanya satu pelanggan, tentang harga rata-rata jual beli. Hasil akhir yang ditampilkan dalam aplikasi akan berupa laporan Excel.
SPK REKRUTMEN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEBSITE Lucas Lucas; Jeanny Pragantha; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17854

Abstract

Employees are one of the most important elements in a company. So companies must be more selective in hiring the employees, because progress in a company can also be determined by the attitude of the employees. When recruiting employees, it is likely for the company to make the wrong decision especially when there are a lot of applicants.Therefore, a decision support system was created to provide better recommendations in recruitment process. The system uses Simple Additive Weighting (SAW) method which is one of the Fuzzy Multiple Attribute Decision Making Methods. The data used in this system is a combination between real data from PT. Jasa Cepat Internasional and dummy data.The application of the Simple Additive Weighting method is able to provide the recommendation results from predetermined criteria. The level of accuracy using Simple Additive Weighting method is also very accurate at 100%. 
SISTEM INFORMASI DAN REKOMENDASI PENJUALAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Darwin Raharja; Desi Arisandi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17859

Abstract

PD. Prima Karya Busana is an embroidery service provider since 2006 but more modern competitors have emerged. The COVID-19 pandemic has also forced digitalization activities. With this sales information and recommendation system, customers don't need to come and order manually, which can be done via the web as well as reach out to potential customers. There is a recommendation feature that can be used by customers to determine the selection of the best type of embroidery fabric based on several criteria such as price, weight, absorption rate, level of smoothness, clarity of embroidery stitches, and material resistance through interviews with PD. Prima Karya Busana owner using Simple Additive Weighting method. The method used for web development is System Development Life Cycle with Rapid Application Development model. The programming language used is PHP and MySQL as the database. The development has been completed properly based on Blackbox Testing and in accordance with the PD. Prima Karya Busana owner based on User Acceptance Testing and feedback provided. Customers and prospective customers are also proven to be able to access the web online well and use the recommendation feature to choose the best type of embroidery fabric based on the User Acceptance Testing.
SISTEM APLIKASI E-COMMERCE DENGAN FITUR LELANG BERBASIS WEBSITE UNTUK SUNNY COLLECTION Noviandi Noviandi; Wasino Wasino; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17864

Abstract

Program aplikasi E-Commerce dengan fitur lelang online berbasis website untuk toko Sunny Collection bertujuan untuk mempermudah proses transaksi pemesanan dan lelang katalog[1]. Program ini di bangun dengan menggunakan Bahasa pemrograman PHP , MySQL dan HTML. Metode yang di gunakan adalah System Development Life Cycle (SDLC). Metode pengujian yang di gunakan adalah metode Black Box. Hasil akhir yang di harapkan dalam program sistem aplikasi E-commerce dengan fitur lelang ini adalah untuk dapat melakukan proses transaksi pemesanan dan lelang dengan lebih praktis. Operator juga memiliki akses penuh dalam menambah data dan mengubah data yang ada di database.
PENGGUNAAN METODE COLLABORATIVE FILTERING BASED UNTUK REKOMENDASI KENDARAAN BERMOTOR Erwin Erwin; Viny Christanti Mawardi; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17796

Abstract

Motorized vehicles are one of the main needs of every human being and also the most common form of transportation used by people. To choose a motorized vehicle, people should not choosing it in a hurry because it takes good consideration to choose the right brand, type, and the need for the vehicle. In making their choice, usually people will read the reviews from vehicle review sites such as Carmudi.co.id, OTO.com, KobaYogas.com, and so on. The purpose of this thesis is to help provide web-based vehicle recommendations using the values of rating and criteria selected by the user. User rating values are calculated with collaborative filtering. In addition to the rating value, users can also get vehicle recommendations by providing specifications of the vehicle needs. Rating values from the program users will be processed by using adjusted cosine similarity to determine their similarity score to the rating values from vehicle review sites and other users so the vehicle recommendations can be obtained according to the similarity of the other user ratings. Based on the results of User Acceptance Testing (UAT) from 21 respondents, the testing got an average score of 83.95% so the program can be categorized as “Very Good”.
ANALISIS FLUKTUASI HARGA SAHAM BLUE CHIPS DENGAN MENGGUNAKAN ALGORITMA C4.5 Yohanes Leonardus Dwi Pradipta; Desi Arisandi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17822

Abstract

In this digital era, the development of stock investment has been fairly rapid and has begun to be used as a source of livelihood for some people, especially during the pandemic. However, for some people who are not familiar with stocks, they will find it difficult to make a decision to make transactions in the stock market. Because in the stock itself, there are several categories based on their quality, ability, and reliability in various situations. With this problem, a thesis was made with the title "Analysis of Blue chip Stock Price Fluctuations Using the C4.5 Algorithm." This thesis uses stocks that are in the Blue Chip Stock category because these stocks are rated very well from all aspects and can be relied on, especially by people who are not very deep into trading in the stock world. From the existing problems, a program is needed to help people who want to make transactions by analyzing stock price fluctuations by studying their movements over a certain time span. In this program, blue chip stock data will be used, which was originally in the form of numerical data. The things that are included in the stock data are the prices of open, close, high, low, and the number of transaction volumes registered and taken from the Yahoo Finance Page. Then the stock data will be converted into data in the form of categories. This is a requirement for using the C4.5 method. The results issued from this program are in the form of stock price categories that go up, down, or even balanced. Program testing is carried out in five stages. The average accuracy that has been obtained from the five stages is 82.4%.
KLASIFIKASI CITRA IKAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Elvin Elvin; Chairisni Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17827

Abstract

Fish Image Classification Using Convolutional Neural Network is an application that helping classification process. The application is used by user for knowing an information about what is the name of fish species from image that visitor captured. The application is designed by Python programming language. Method of designing the application using System Development Life Cycle. The method used in training model is Convolutional Neural Network, Data used in training process are the species data set is more than 10 species and each species is more than 1000 images, The data collected has been divided into training data and test data. In training process, Fish Image Classifiation Program produce a train loss value of 0.189203, validation loss value of 0.033459 and accuracy value of 0.991029. The evaluation process is carried out using a Confusion Matrix where the diagonal data is the correct prediction data, while the other data is the wrong prediction. By evaluating the Confusion Matrix, predicted accuracy reaches 99.1%precision and recall is 0.98. The resulting accuracy is very good accuracy so that it can predict the image inputted by the user accurately.
PENGIMPLEMENTASIAN OCR MENGGUNAKAN CNN UNTUK EKSTRAKSI TEKS PADA GAMBAR Ivan Wijaya; Chairisni Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17836

Abstract

OCR merupakan sebuah sistem yang digunakan untuk mengekstraksi tulisan yang terdapat pada sebuah gambar sehingga dapat mempercepat proses input data. Sistem OCR merupakan sebuah sistem yang terdiri dari 2 proses yaitu pendeteksian teks dan pengenalan teks. Pada perancangan ini, digunakan 2 model CNN untuk melakukan pendeteksian dan pengenalan teks. Digunakan CNN dengan struktur Feature Pyramid Network yang menggunakan Backbone VGG19 untuk mendeteksi lokasi teks pada gambar. Untuk mengenali teks pada gambar akan digunakan CNN dengan LSTM untuk melakukan pengenalan teks pada area gambar yang telah terdeteksi. Kedua CNN dilatih ddengan menggunakan dataset ICDAR 2015, COCO-Text, dan ICDAR 2019. Pada akhir pelatihan, didapatkan model pendeteksian teks dengan besaran F1-Score sebesar 49.18%, dan model pengenalan teks dengan besar Correctly Recognized Word sebesar 55.80%
KLASIFIKASI POTENSI MENDERITA PENYAKIT JANTUNG KORONER DENGAN BACKPROPAGATION NEURAL NETWORK Henri Henri; Chairisni Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17850

Abstract

Maksimal 200 kata berbahasa Inggris dicetak miring dengan Times New Roman 10 point. Abstrak berisi maksud dan tujuan penelitian, metode penelitian yang digunakan serta hasil yang dicapai.Membandingkan algoritma A dan algoritma B dalam menyelesaikan sistem persamaan linier berdasarkan kecepatan proses, ketelitian hasil serta besarnya ruang memori yang digunakan. Hasil percobaan menunjukkan algoritma B lebih cepat dari algoritma A namun algoritma A menghasilkan ketelitian yang lebih baik serta ruang memori yang kecil dibandingkan algoritma B
PEMBUATAN GAME 2D HORROR “BLACK, WHITE, AND …” DENGAN PLATFORM WINDOWS Kevin Kevin; Jeanny Pragantha; Darius Andana Haris
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17855

Abstract

"Black, White And ..." is a 2D Horror game with a sub-genre psychological horror game developed for Windows PC. This game was made using Unity as the game engine with C# as the programming language. In this game, the player will play as an amnesiac girl who has just awoken. The goal of this game is to search for a way out from the strange black and white world. The player will have to survive from the enemy and traps with the ability to move from the black world to the white world and vice versa. to ward the enemies, the player had to scream. The game has implemented a Voice Recognition feature to differentiate between scream or not scream.  The testing has been done by using blackbox testing, alpha testing, and beta testing method. The test results show that most of the respondents experience a sense of fear and tension as well as the intention to play the game again.

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