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Contact Name
Sri Ngudi Wahyuni
Contact Email
ijcsr@subset.id
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+6282138594141
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ijcsr@subset.id
Editorial Address
Jl. Gatotkaca, Janti Buana Asri 4 Nomor B7, Jurugentong, Banguntapan, Bantul, Yogyakarta, Indonesia
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Kab. bantul,
Daerah istimewa yogyakarta
INDONESIA
The Indonesian Journal of Computer Science Research
Published by Hemispheres Press
ISSN : -     EISSN : 29639174     DOI : https://doi.org/10.59095/ijcsr
Core Subject : Science,
Computer Science & IT
The Indonesian Journal of Computer Science Research (IJCSR) adalah jurnal yang memuat naskah ilmiah dari peneliti, akademisi, maupun praktisi, berupa hasil penelitian, tinjauan pustaka ( literature review ) dan/atau bentuk karya tulis ilmiah lainnya, yang khusus mengkaji bidang Ilmu Komputer antara lain sebagai berikut : Computational and algorithm Numerical Methods and Algorithms Autonomic Computing Big Data Computer and Network Architecture Cloud Computing Cluster Computing Workflow Design and Practice Data Mining Artificial Intelligence Web-Based Computing Scientific Visualization Computer Graphics Pattern Recognition Virtual Reality Augmented Reality Geometric Modeling Industry 4.0 Bioinformatics Digital Forensic
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2021): January" : 5 Documents clear
Perancangan Sistem Informasi Keuangan BLUD Pemerintah Kota Yogyakarta Menggunakan Framework Laravel Naziffa Puspa Waskito; Nabilla Putri Waskito
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2021): January
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.008 KB) | DOI: 10.59095/ijcsr.v1i1.1

Abstract

Digitalisasi informasi adalah salah satu upaya dalam melakukan transparasi informasi di era digital saat ini. Transparasi informasi juga akan mereformsai administrasi atau layanan public, sehingga akan terwujud sebuah layanan yang cepat, akurat dan memuaskan masyarakat. Salah satu reformasi layanan yang sedang digagas oleh pemerintah kota Yogyakarta adalah digitalisasi layanan kepada masyarakat dengan digitalisasi informasi di Badan Layanan Umum Daerah atau BLUD Pemerintah Kota Yogyakarta. Seiring dengan perkembangan Teknologi (TI) yang semakin pesat. Program pengembangan sistem BLUD berbasis web Pemerintah Kota Yogyakarta merupakan upaya dalam memberikan layanan berbasis digital kepada masyarakat wilayah pemerintah kota Yogyakarta. Guna mempermudah layanan, maka dibangunlah sistem informasi BLUD berbasis website. Adapun hasil pengujian menunjukkan bahwa sistem ini bisa difungsikan sebagaimana yang diharapkan oleh Pemerintah Kota Yogyakarta.
Penerapan Algoritma Haar Like Feature Untuk Deteksi Pornografi Sri Mulyatun
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2021): January
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.352 KB) | DOI: 10.59095/ijcsr.v1i1.2

Abstract

In this study, researchers tried to apply the digital image method, namely the Haar-Like Feature algorithm, hm, to detect objects in pornographic videos. The input space given to the Haar-Like Feature is in the form of the x-axis, y-axis, area width, and area height that has been processed through the image labeling stage; the input space will be used to detect and determine the position of the object. The objects seen in this study are breasts and sex toys, based on a survey of 102 questions conducted by researchers who got 70 respondents. The survey results said the highest percentage of porn on the breast is 60% and sex toys 8%. The conclusion from this research is that the use of the haar-like feature algorithm can detect objects in pornographic videos and the results of the evaluation of the model with a training dataset of 4881 images get an accuracy value of 63.33%.
Comparison of Performance Analysis of Comodo SSL and Let's Encypt SSL (Case Study: Bukalapak and Tokopedia) Joko Dwi Santoso
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2021): January
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.252 KB) | DOI: 10.59095/ijcsr.v1i1.3

Abstract

The world is becoming connected with the internet, the arrival of the internet has greatly influenced new network technology. The number of internet users is increasing day by day, there is an increase in online transactions. As a growing number of websites have sprung up with easy information transmission facilities, it has been seen that it has caused a huge increase in fraud. Broad e-commerce spectrum (B2B / B2C / C2C), banking, finicial trading and others. Business applications require very high data exchange for security. Secure Sockets Layer (SSL), and its influence on web server performance. Secure SocketLayer (SSL) is the most popular protocol used on the internet to facilitate communication security through authentication, encryption, and decryption. Although the use of SSL provides adequate security, this can cause a decrease in performance compared to insecure protocols as well as a decrease in the percentage of downloads compared to insecure protocols. In this paper, we analyze the performance and impact of SSL on web performance and the type of SSL used by Bukalapak e-commerce and Tokopedia
SISTEM INFORMASI PPDB (PENERIMAAN PESERTA DIDIK BARU) ONLINE BERBASIS WEBSITE (Studi Kasus: SD Kecamatan Cilacap Utara) Kasbianto Refani; Abdul Azis
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2021): January
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.826 KB) | DOI: 10.59095/ijcsr.v1i1.10

Abstract

Penerimaan peserta didik baru (PPDB) merupakan salah satu proses yang ada di instansi pendidikan seperti sekolah yang berguna untuk menyaring calon siswa yang terpilih sesuai kriteria yang ditentukan oleh sekolah tersebut untuk menjadi siswa didiknya. Berdasarkan hasil observasi dan wawancara di 15 SD Kecamatan Cilacap Utara dalam proses penerimaan peserta didik baru masih dilakukan secara offline, dimana orang tua calon siswa harus datang ke sekolah untuk mengisi kertas formulir dan menyerahkan berkas pendaftaran. Tujuan dari penelitian ini adalah untuk merancang dan membangun sistem informasi PPDB ( Penerimaan Peserta Didik Baru ) Online Berbasis Website guna untuk mempermudah dalam proses pendafataran calon siswa. Dalam pembangunan sistem informasi PPDB ( Penerimaan Peserta Didik Baru ) menggunakan metode pengembangan sistem Rapid Application Development (RAD). Pada metode Rapid Application Development (RAD) memiliki fase-fase atau tahapan seperti perencanaan syarat-syarat (requirements planning), RAD desain workshop (workshop design RAD), dan implementasi (implementation). Berdasarkan hasil pada penelitian ini, peneliti berhasil merancang dan membangun sistem informasi PPDB ( Penerimaan Peserta Didik Baru ) Online Berbasis Website, dan dari hasil pengujian sistem dengan menggunakan metode Black Box Testing pada menu yang ada pada website PPDB yang dibangun menunjukkan hasil sesuai harapan serta hasil dari pengujian sistem menggunakan User Acceptance Test pada halaman dashboard admin dan pengguna ( calon/wali siswa ) menunjukan bahwa sistem dapat diterima oleh pengguna ( calon/wali siswa ) dan pengguna admin.
Sentimen Analis Thread Investasi Pada Twitter Menggunakan Naïve Bayes Hartatik Hartatik
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2021): January
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.014 KB) | DOI: 10.59095/ijcsr.v1i1.13

Abstract

Social media is one of the market shares that allows people to consume news or promotions from an investment service because the source data is abundant and is updated every second on the internet. Social media is vulnerable to containing news or information on an investment platform and other forms of investment that are illegal or called fraudulent investments, so to overcome this, an Investment Thread Analyst Sentiment on Twitter is needed. The method used to evaluate investment threads to obtain positive and negative feedback is nave Bayes. The research results received a precision score of 0.69, recall of 0.70, f1-score (f-measure) of 0.74, and accuracy of 0.7.

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