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Sri Ngudi Wahyuni
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ijcsr@subset.id
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+6282138594141
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ijcsr@subset.id
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Jl. Gatotkaca, Janti Buana Asri 4 Nomor B7, Jurugentong, Banguntapan, Bantul, Yogyakarta, Indonesia
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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. 2 (2022): July" : 5 Documents clear
Analisis Dan Perancangan Aplikasi Monitoring On The Job Training (OJT) Smk Negeri 1 Boyolali Menggunakan Framework CodeIgniter: Analisis Dan Perancangan Aplikasi Monitoring On The Job Training (OJT) Smk Negeri 1 Boyolali Menggunakan Framework CodeIgniter Widiyanti Kurnianingsih
The Indonesian Journal of Computer Science Research Vol. 1 No. 2 (2022): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.205 KB) | DOI: 10.59095/ijcsr.v1i2.5

Abstract

On Job Training (OJT) is the application of knowledge and skills acquired, and seeing their relevance in the world of work is an educational activity carried out by the company. To train students to improve their quality and be able to know the situation of the world of work is the goal of OJT. OJT activities are beneficial for agencies and students implementing OJT; meeting the needs of non-permanent employees with academic insight is one of them. PIECES analysis was carried out to identify problems at SMK NEGERI 1 BOYOLALI. Several conclusions can be drawn after going through the testing phase of the Monitoring on the Job Training (OJT) Application at SMK NEGERI 1 BOYOLALI. This system can assist field supervisors and school supervisors in carrying out all management, monitoring, reporting and assessment activities on the Job Training activities (OJT) and helping students manage attendance data and report on the Job Training (OJT) activities. Based on the explanation above, this research's focus is to build a website-based OJT using the CodeIgniter framework.
Sistem Pendukung Keputusan Penentuan Calon Penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) Menggunakan Metode ROC dan CPI Nungky Rosita
The Indonesian Journal of Computer Science Research Vol. 1 No. 2 (2022): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.945 KB) | DOI: 10.59095/ijcsr.v1i2.6

Abstract

BLT adalah singkatan dari Bantuan Langsung Tunai yang merupakan program bantuan pemerintah dengan pemberian uang tunai atau beragam bantuan lainnya. Pemerintah Desa wajib mengalokasikan dan menyalurkan bantuan langsung tunai (BLT) dari Dana Desa untuk meringankan beban masyarakat akibat adanya Covid-19. Namun dalam pelaksanaannya, Pemerintah Desa di Desa Kaduara Barat menghadapi beberapa permasalahan diantaranya ketika data keluarga yang memenuhi kriteria untuk mendapatkan BLT melampaui jumlah kuota penerima BLT. Dikarenakan terbatasnya jumlah kuota penerima BLT-DD maka pemerintah Desa harus melakukan seleksi sebaik-baiknya agar realisasi BLT-DD berjalan dengan lancar. Oleh sebab itu dibutuhkan suatu sistem pendukung keputusan agar dapat menentukan hasil pemilihan calon penerima BLT-DD baru secara tepat dan akurat. Pada sistem pendukung keputusan ini menggunakan metode CPI (Composite Perfomence Index) dan ROC (Rank Order Centroid). Hasil dari penelitian menggunakan kedua metode menunjukkan A2 (Abd. Asis) memiliki ranking teratas yaitu dengan nilai 132,7
Evaluasi Kepuasan Mahasiswa Prodi Sistem Informasi terhadap Akun @si.amikompwt menggunakan metode EUCS Mufid Mujahiddin; Abdul Azis
The Indonesian Journal of Computer Science Research Vol. 1 No. 2 (2022): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.931 KB) | DOI: 10.59095/ijcsr.v1i2.7

Abstract

The @si.amikompwt account is an Instagram account part of a higher education institution namely Amikom University Purwokerto. The @si.amikompwt account is the official account of one of the Study Programs at Amikom University Purwokerto which focuses on the Information Systems Study Program. The content shared on this account is very diverse, not only about Study Programs, but also other educational content. With the presence of the Information Systems Study Program account, it is hoped that more people will be known and of course be able to inform all things related to lecture activities, especially to students in the Information Systems Study Program. However, based on observations and interviews, the content displayed on the @si.amikompwt account is not very interesting, some students, especially in the Information Systems Study Program, are not happy or satisfied with this account. Therefore, a study is needed to evaluate student satisfaction on the account of this Information Systems Study Program. The appropriate method for evaluating this satisfaction is the EUCS method. The EUCS method is a method that consists of 5 variables, namely content, accuracy, format, ease of use, and timeliness variables. The purpose of this study was to find out whether the variables of the EUCS method had an effect on student satisfaction. The results of this study are the variables of user convenience and timeliness have a significant effect on user satisfaction, while the variables of content, accuracy, and form have no significant effect on the variable of user satisfaction. Keywords : Information Systems Study Program; EUCS; @si.amikompwt account; evaluation.
Perbandingan Algoritma Naïve Bayes dan Decision Tree Pada Sentimen Analisis Andri Syafrianto
The Indonesian Journal of Computer Science Research Vol. 1 No. 2 (2022): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.851 KB) | DOI: 10.59095/ijcsr.v1i2.11

Abstract

The development of information technology in recent years is fast, pushing internet usage. People use social media to share their opinions or interact simply with each other. Sentiment analysis is a branch of Natural Language Processing (NLP) that can filter and categorize people's views on social media. This study uses Twitter data to compare two algorithms: Naïve Bayes Classifier and Decision Tree. This study divided the data into two scenarios where the first one with 800 data and the second one with 200 data. Data from each scenario was divided again into 70% training data and 30% test data from 1000 data. The result shows that Naïve Bayes Classifier has much higher accuracy with 85% compared to the Decision Tree with 78% in the second scenario.
Perancangan Aplikasi Android Sistem Informasi Masjid Taklim Kecamatan Purwosari Ahmad Suliantoro
The Indonesian Journal of Computer Science Research Vol. 1 No. 2 (2022): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.748 KB) | DOI: 10.59095/ijcsr.v1i2.12

Abstract

Agencies need information systems to contain various data that includes everything inside and outside the agency. The taklim mosque information system is an integrated system with mosque data information. Information contains taklim mosque data. This research will focus on general data and waqf data. General data contains main data regarding mosque information, while waqf data contains information on land data that has been waqf. The application design uses the RAD (Rapid Development Application) method. Application development using mit app inventor. Data storage using Google Drive connected to Google Forms. Application testing uses black box testing techniques. In this study produces an android-based data input application.

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