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CICES (Cyberpreneurship Innovative and Creative Exact and Social Science)
Published by UNIVERSITAS RAHARJA
ISSN : 23565209     EISSN : 26553058     DOI : 10.33050/cices
Core Subject : Economy, Science, Social,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) adalah wadah publikasi jurnal ilmiah untuk multidisiplin ilmu seperti Bidang Ilmu Politik, Ekonomi, Manajemen, Sosial, Ideologi, IT, Budaya dan Pendidikan. CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) is a place for publishing scientific journals for multidisciplinary sciences such as Politics, Economics, Management, Social Sciences, Ideology, IT, Culture and Education.
Arjuna Subject : Umum - Umum
Articles 213 Documents
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Implementasi Metode Agile Software Development Extreme Programming pada Sistem Informasi Laboratorium Riset Zoologi Ahmad Farhan Mahesa; Nur Hayati; Eri Mardiani
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3226

Abstract

The Faculty of Biology and Agriculture of the National University has a zoological research laboratory that is used in terms of collecting, analyzing, and storing data on various types of organisms, laboratory services, and carrying out various lab activities such as research, publications, experiments, and research. However, there is no information system or website that can bridge the dissemination of this information. Current laboratory service management is still paper-based, such as recording book, tool, and place borrowing services where the manager must record it in a book. Therefore, an information system or website will be designed for zoological research laboratories that can assist in the dissemination of information and laboratory management using the extreme programming method. The results of the test get a positive response and in SUS testing (system usability testing) get an average score of 82 which is in the "Good" category with grade "B".
Implementasi Sistem Deteksi Intrusi Dengan Metode Signature Dan Port Mirroring Pada UPA TIK Undiksha Gede Beny Indrawan; I Ketut Resika Arthana; Kadek Yota Ernanda Aryanto
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3243

Abstract

Fasilitas yang biasa digunakan untuk menyimpan, mengelola dan menyebarkan informasi merupakan bentuk fisik dari data center. Peran data center juga digunakan untuk menjaga data pengguna agar tetap aman secara fisik maupun secara digital. Universitas Pendidikan Ganesha (UNDIKSHA) memiliki data center yang terletak pada gedung UPA TIK, yang berfungsi untuk melayani dan menunjang proses kegiatan akademisi serta administratif. Untuk menjaga dan mengamankan data-data tersebut UNDIKSHA memerlukan sistem deteksi intrusi yang bisa mengetahui segala aktivitas yang mencurigakan dan tanpa mengganggu lalu lintas server. Penelitian ini menjelaskan tentang implementasi sistem IDS (Intrusion Detection System) dengan menggunakan metode deteksi signature rules dan memanfaatkan fitur port mirroring. Berdasarkan hasil yang diuji coba secara lokal pada server UNDIKSHA, sistem IDS dapat dengan baik mendeteksi serangan DOS (Denial of Services), SQL injection, path traversal dan XSS stored. Hasil evaluasi membuktikan bahwa IDS yang di implementasi pada server UNDIKSHA dapat mendeteksi dengan baik tanpa adanya alarm palsu, dengan kata lain IDS secara 100% bisa membedakan serangan yang benar terjadi dan aktivitas normal pengguna.
Garuda’s Valor: Eksplorasi Sejarah Perang Bojong Kokosan Melalui Game 3d Third Person Shooter Dengan Algortima A* Chelika Patricia Handraputri; Kamdan Kamdan; Bibin Aripin; Muhammad Azmi Fauzan; Alun Sujjada
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3246

Abstract

This research applies the A* algorithm in the 3D Third Person Shooter (TPS) game "Garuda's Valor" with a historical theme. The focus is on optimizing character navigation and movement responsiveness for an immersive gameplay experience. The method includes designing the A* algorithm, testing responsiveness, and assessing its impact on game appeal and user satisfaction. The study also integrates historical elements of the Bojong Kokosan battle to provide valuable educational experiences. Challenges include complex terrain and dynamic obstacles, aiming to create a realistic and engaging environment. This project explores the balance between historical accuracy and engaging gameplay, and analyzes the algorithm's efficiency. "Garuda's Valor" sets a new standard in educational games, combining fun and learning through advanced artificial intelligence.
Implementasi Automatic Speech Recognition Pada Penilaian Hafalan Al-Quran Dengan Metode Muroja’ah Berbasis Android Alun Sujjada; Gina Purnama Insany; Muhamad Fajar Nugraha
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3247

Abstract

This research implements Automatic Speech Recognition (ASR) technology in the process of assessing Al-Qur'an memorization to overcome the problem of the increasing number of people who cannot read the Al-Qur'an fluently. With ASR, computers can recognize and transcribe human speech accurately, thereby improving the quality and accuracy of pronunciation and providing constructive feedback to learners. An Android-based application that uses the ASR service from the Google Speech API allows users to recite verses from the Koran and automatically recognize and evaluate what they have memorized. The hope is that the use of ASR technology can improve the ability to memorize the Al-Qur'an more effectively and flexibly without requiring direct teacher assistance. This system was developed using the Rapid Application Development (RAD) method with Blackbox Testing.
Penerapan Website E-Government Dalam Pendataan Infrastruktur Dan Fasilitas Publik Rakhmansyah, Mohamad; Sari, Meri Mayang; Andwiyan, Denny
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3292

Abstract

The development of science and technology in the management system of social and public facilities will assist in improving the performance of the sub-district government. Currently, the Pasar Kemis District office does not yet have a web-based infrastructure and facility management system to overcome the problem of collecting data on social and public facilities that still use a semi-computer system, namely recording infrastructure and facility data using paper, then recapitulation is carried out to make reports on social facilities. And general. This system still has shortcomings such as difficulty in finding data, allowing errors in data collection, data piling up and requiring a long time in the reporting process. To overcome the problems faced, the authors propose a web-based social and public facility management system so that data collection on facilities becomes easier, shortens time, is organized in data storage. The author uses the method of Observation, Interview, and Literature Study in collecting data. All data are summarized and then clearly described in the Unified Modeling Language (UML). Making a prototype system using Adobe XD application and in analyzing the advantages and disadvantages of the system, the researcher uses the SWOT method. This system is made using the PHP programming language with the Codeigniter framework. The system was tested using the Black Box Testing method. The computerized system makes it easier to manage infrastructure and facilities data so as to assist in the data collection process, data retrieval and reporting of social and public facilities.
Student Perceptions of Assessment Practices in High School Social Studies: Implications for Teaching and Learning Eka Yuliana Rahman; Amri Dhimas Maulana
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3334

Abstract

This study aims to explore students' perceptions of assessment practices in social studies subjects consisting of Economics, Geography, History and Sociology at SMAN 2 Tanggul and their implications for teaching and learning. Using a qualitative case study approach, this research collected data through in-depth interviews and classroom observations. A total of 30 students from grades X, XI, and XII were purposively selected to ensure the diversity of their experiences and views. The results showed that students tend to favour formative assessments that provide constructive feedback and opportunities to improve over summative assessments that are often perceived as adding pressure. Positive perceptions of formative assessment were associated with increased motivation to learn and active participation in class. In contrast, negative perceptions of summative assessments that are perceived as unfair and overly pressurised negatively impact student motivation and confidence. This research reveals that diverse and innovative assessment practices are needed to accommodate students' learning needs more effectively. The implications of these findings emphasise the importance for teachers to develop assessment strategies that are fair, useful and responsive to students' needs, which can ultimately improve the quality of teaching and learning outcomes in social studies classes.
Analisis Niat Perilaku Gen-Z Menggunakan UTAUT2 Dengan Kepuasan Sebagai Moderasi : Studi Kasus Aplikasi Seabank Indriani Nurfitri; Arny Lattu; M. Anton Permana
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3388

Abstract

Lifestyle changes that are shifting towards digital have encouraged the financial sector to accelerate the transformation process towards digital finance known as financial technology, one of which is the Seabank application. This study was conducted with the aim of analyzing the factors that influence Gen-Z regarding satisfaction with behavioral intentions (Behavioral Intention) of using Seabank using quantitative methods by distributing questionnaires. The study used a modified UTAUT2 model by adopting only 5 of the 7 variables, namely performance expectancy, effort expectancy, social influence, facilitating conditions, and habits with the addition of one variable modification, namely trust as factors that have the potential to influence the moderating variable of user satisfaction (User Satisfaction) on behavioral intentions (Behavioral Intention) as a decision to use Seabank in the future. Data analysis used the SEM-PLS technique with the SMART PLS 3.0 application, with a total of 302 respondents who met the criteria.
Implementasi KNN dan Decision Tree Untuk Klasifikasi Kelayakan Bantuan Disabilitas DKI Jakarta Nathan Ramadhani; Dwi Wahyu Maulana; Muhammad Rizky Fahreza
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3403

Abstract

The purpose of this study is to identify whether recipients of disability assistance are eligible to receive aid based on the Governor of DKI Jakarta Regulation Number 44 of 2022 concerning the Provision of Social Assistance for Protection. This study uses a qualitative approach with Python and takes a real case study using a dataset from the DKI Jakarta Social Service in 2020. The study involves two machine learning algorithms: Decision Tree to classify eligibility and K-Nearest Neighbors (KNN) to visualize the recipients of assistance who fall into the eligible and non-eligible groups. The large number of recorded disabled individuals has created challenges for the DKI Jakarta Provincial Social Service in identifying them. The high population, along with limited resources and funds, presents a significant challenge for the Social Service to ensure that assistance is distributed accurately and effectively. One of the efforts that the DKI Jakarta Provincial Social Service can undertake is to issue the Jakarta Disability Card (KPDJ). The results of this study show that the classification with the Decision Tree algorithm achieved an accuracy score of 0.78, indicating that the developed system is capable of providing recommendations with a high level of accuracy in determining aid recipients, thereby improving efficiency in the decision-making process related to aid distribution.
Upaya Pengembangan Kompetensi Guru Sekolah Dasar Dalam Kurikulum Merdeka Belajar Gilang Kartika Hanum; Andri Cahyo Purnomo; Desy Apriani; Ita Erliyani
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3404

Abstract

The aim of the research aimed at this research is to clarify efforts to increase teacher capabilities with the title "activator school". This type of research refers to a qualitative descriptive approach carried out at one of the activator schools, namely SDN Cibaga 2, Serang district. Sampling used purposive sampling. The primary data collection carried out was obtained from observations accompanied by discussions with several teachers. Meanwhile, the selunder data uses previous references from various sources in the form of articles indexed by SINTA to internationally. In conducting interviews, it is carried out by providing a semi-structured form, after which the data results are analyzed using reduction and drawing conclusions. This research obtained results showing that activator schools strive to develop learning activities that embody the character of Pancasila for their students. One element that needs to be improved is the teacher's ability to innovate lesson plans that contain the character of Pancasila. Online training steps carried out in a short time are a concern for activator teachers, because they limit training possibilities for the development and application of indicators. Schools are encouraged to seek information from relevant educational institutions.
Pengembangan Aplikasi Android Untuk Konversi Gambar ke Teks dengan Flutter dan OCR Menggunakan Metode Jaro-Winkler Rifqi Aldy Al Hafizh Harahap; Fauziah Fauziah; Ratih Titi Komala Sari
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3405

Abstract

The need for tools for effective image to text conversion is increasing as a result of increasing reliance on mobile applications for daily activities and constraints in cross-platform application development. Addressing this demand by creating an Android application that uses Flutter and Optical Character Recognition (OCR) technology is the focus of this research. In particular, Jaro Winkler's method, which improves the accuracy of text extraction, is the main focus of this research. The research methodology uses a systematic approach, starting with a literature review to create a theoretical foundation and discover differences in current technology. The development uses Flutter's cross-platform capabilities and includes OCR for text extraction. The Jaro Winkler method is used to improve accuracy by increasing the similarity measure between extracted text and actual text, especially for unclear images. Despite issues with low-resolution images, the app has the ability to convert images to text accurately, as demonstrated by app testing and evaluation. The app's performance shows the possibility that a combination of Flutter, OCR, and Jaro Winkler's method can help create an effective image to text conversion tool. But the research also found some things that need improvement, especially in processing low-quality images and refining algorithms for better accuracy. Implementation of the Jaro-Winkler algorithm is used accurately and significantly. This is proven by a comparison of two sample words, "BRI" and "BNI," which produces a result of 0.7778, or a percentage value of 77.3% through manual calculation. Based on a comparison of the values in the application and calculations using Python with floating-point representation, there is a small difference in the final results, with a difference of only 3%, which results in a result of 80%..

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