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Greenation Computer and Information Review (GCIR)
Published by Greenation Publisher
ISSN : -     EISSN : 3089249X     DOI : https://doi.org/10.38035
Core Subject :
Greenation Computer and Information Review (GCIR) is a national, peer reviewed, open access and scientific journal that publishes research papers, review papers, mini reviews, case reports, case studies, short communications, letters, editorials, books, theses, dissertation works, etc., from all Aspects of Science. Once published, articles are available for free online without any restrictions or other subscriptions to researchers and readers worldwide. This journal is published 2 times a year, namely October and April. Greenation Computer and Information Review (GCIR) is a scientific journal published by Greenation Publisher under the auspices of the Global Research National Foundation (GREENATION) and collaborating with domestic Universities :
Arjuna Subject : -
Articles 8 Documents
 1 
Digital Marketing Strategy: Utilizing Social Media Influencers to Reach Target Consumers Reski Nofrialdi; M. Ridho Mahaputra
Greenation Computer and Information Review Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i1.335

Abstract

Building connections and communicating have become easier thanks to social networking apps and contemporary technologies. The utilization of influencers is a crucial component that propels the prosperity of digital marketing platforms, particularly on social media. Effective marketing tactics try to stimulate sales by matching the products being marketed with the preferences of the target audience. The purpose of this study is to investigate how digital marketing influences customer behavior through social media influencers. AISAS asserts that all types of influencers—micro, macro, and mega—have the ability to produce compelling content that affects a sizable audience's purchasing decisions. An influencer's post likes and comments can be used to determine how the audience feels about them. Influencers use their own verbal and visual lingo to promote products; they frequently use eye-catching images and text. Netizens have the potential to be consumers since they are more likely to look for, buy (act), and evaluate things. This is especially beneficial for companies who use influencer marketing to market their goods. Instagram is expected to have 1,300 million users by April 2023, making it one of the top 3 social media networks worldwide. With 26.6% of adults over 18 using Instagram in Indonesia, Instagram is a valuable tool for influencer marketing. Influencers successfully mold a brand's image, which is why this kind of marketing is becoming more and more common.
Using the Penetration Testing Execution Standard Method (PTES) for Wireless Network Security Analysis Ridwan Ridwan
Greenation Computer and Information Review Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i1.336

Abstract

As more people utilize the internet, network security has grown in importance. The internet has an impact on practically every part of life, including the employment. Located in the Tambun Utara District of Bekasi Regency, the Setia Mekar Village Hall office is a public service location. It now relies on a single wireless access point to connect to the internet and uses Wireless Local Area Network (WLAN) technology to meet the demands of the community for a variety of internet-related reasons, including administrative and other services. In order to prevent numerous criminal risks, wireless networks need to be well-secured. As such, a security analysis of the network utilizing the Penetration Testing Execution Standard (PTES) method a framework or set of guidelines used as a reference for conducting network penetration testing is required. The types of attacks that circumvent MAC authentication and ARP spoofing were tested five times using a Kali Linux virtual machine. The results showed that although there were three failures and two successes in cracking the encryption. The test findings indicate that the wireless network security system is fairly secure; however, in order to bolster security and reduce the likelihood of crime, a number of changes to the network architecture and configuration system are required.
Implementation of a Machine Learning with a Python Programming Approach to Predict the Level of Disease Cases Ridwan; Prio Kustanto
Greenation Computer and Information Review Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i1.337

Abstract

Digital transformation invariably results in the development of data-driven insights. To counteract digital transformation in the health domain, tools that can perform predictive analysis are needed. The use of machine learning to predict the severity of a disease can aid in the prompt formulation of health care policies. Machine learning models employ several techniques in classification algorithms with a framework provided by the Python programming language. In this case, the used data include a dataset that was collected from the Indonesian Health Profile, which includes information on health-related behaviors, health-related laws, and sociodemographic trends. Decision tree modeling has very good accuracy when classifying the severity of illness.
Development of Information and Communication Technology in Student Affairs and Personnel at Mas Insan Mulia Merangin Rica Syofiana Sari
Greenation Computer and Information Review Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i1.338

Abstract

The world of education and learning in Indonesia has been greatly influenced by advances in information and communication technology. These advancements are very important and have brought about major changes in how education is run and become more innovative. However, not all groups or groups are able to respond well to such developments. Therefore, to achieve the desired results, the development of information and communication technology should be achieved through the application of information and communication technology (ICT) in education. It even includes the use of ICT as educational materials, learning aids, educational facilities, competency standards, educational administration support, classroom management tools, and educational infrastructure. This research is qualitative descriptive. Interviews, documentation and observation are data collection methods. The method for analyzing data uses qualitative analysis. Data analysis includes data reduction, display, and verification. The results of this study show that MAS Insan Mulia Merangin can use information and communication technology in terms of accepting new students, reporting learning outcomes, and supervising student discipline. In the area of staffing, there is progress in employee planning and appraisal.
Product Search Information System Using Brute Force Algorithm in Website-Based Perfume Store Fried Sinlae; Bayu Adji Anasyah
Greenation Computer and Information Review Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i1.339

Abstract

The aim of this research is to discuss a product search information system using a brute force algorithm in a website-based perfume shop. Search using a brute force algorithm, where the algorithm is used to search between text patterns in a website-based search. The research method used is the waterfall method, while the data collection method is by conducting interviews and observations. After testing, it was found that the average time was 0.001792355 seconds from 30 keywords resulting in 100% accuracy, thus the application of the brute force algorithm can be used to solve problems in searching for perfume products.
Analisis Faktor-Faktor yang Mempengaruhi Kemauan untuk Membayar Pajak ( Studi Empiris pada Wajib Pajak Orang Pribadi di Wilayah KPP Pratama Cikupa) Anna Anica Ismiyati
Greenation Computer and Information Review Vol. 1 No. 2 (2025): Greenation Computer and Information Review (April - September 2025)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i2.673

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi kemauan wajib pajak untuk membayar pajak, khususnya pada wajib pajak orang pribadi. Faktor-faktor yang diperkirakan memiliki pengaruh terhadap kemauan wajib pajak orang pribadi dalam membayar pajak adalah kesadaran wajib pajak, tingkat pengetahuan peraturan perpajakan, sanksi pajak, kualitas pelayanan fiskus pajak, dan persepsi atas efektifitas sistem perpajakan. Populasi dalam penelitian ini adalah wajib pajak orang pribadi di wilayah KPP Pratama Cikupa. Pengambilan sampel dilakukan dengan teknik convenience sampling. Jumlah sampel ditentukan sebanyak 100 orang dari jumlah wajib pajak orang pribadi di wilayah KPP Pratama Cikupa. Metode pengumpulan data primer yang dipakai adalah dengan metode survei dengan menggunakan media kuesioner. Teknik analisis data yang digunakan dalam penelitian ini adalah teknik analisis regresi berganda. Berdasarkan hasil analisis yang dilakukan maka diperoleh kesimpulan bahwa kesadaran membayar pajak, pengetahuan peraturan perpajakan dan persepsi yang baik atas efektifitas sistem perpajakan memiliki pengaruh yang positif dan signifikan terhadap kemauan wajib pajak untuk membayar pajak, sanksi pajak berpengaruh yang negatif dan signifikan terhadap kemauan wajib pajak untuk membayar pajak Sedangkan kualitas pelayanan fiskus pajak tidak berpengaruh signifikan terhadap kemauan wajib pajak orang pribadi untuk membayar pajak.Faktor-faktor yang berpengaruh terhadap kemauan wajib pajak orang pribadi untuk membayar pajak diharapkan bisa menjadi bahan pertimbangan dalam pembuatan kebijakan. Untuk meningkatkan kemauan wajib pajak orang pribadi pada KPP Pratama Semarang Cikupa, kebijakan yang bisa diambil misalnya peningkatan kualitas pelayanan, memaksimalkan sistem perpajakan yang modern, penegakan sanksi pajak. Dengan mempertimbangkan faktor-faktor yang berpengaruh terhadap kemauan wajib pajak tersebut, diharapkan bisa meningkatkan kemauan wajib pajak orang pribadi di wilayah KPP Pratama Cikupa.
The Relationship Between Influencer Marketing and Generation Z Purchase Intention Nuriyati Samatan; Ariandi Putra; Intania Intania
Greenation Computer and Information Review Vol. 2 No. 2 (2026): Greenation Computer and Information Review (April - September 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v2i2.742

Abstract

This study aims to analyze Influencer Marketing as variable X and Purchase Intention as variable Y. The object of this study is Generation Z's appreciation of Sombong Men's Care skincare products in Jakarta. The theory applied is the S-O-R. This study employs a quantitative approach within the positivism paradigm. A non-probability, purposive sampling method was utilized, with the sample size calculated using Slovin's Formula at a 10% margin of error. Data were collected via an online questionnaire distributed to 100 Generation Z respondents living in Jakarta who had been exposed to promotional content for Sombong Men's Care skincare products. Data analysis was conducted using validity and reliability tests, simple linear regression, and hypothesis testing via SPSS software. The hypothesis testing results revealed that the calculated t-value exceeded the table t-value (20,231 > 1,660). Consequently, the null hypothesis is rejected and the alternative hypothesis is accepted, indicating a significant effect of influencer marketing on purchase intention. The coefficient of determination demonstrates an effect contribution of 0.807 or 80.7%, while the remaining 19.3% is influenced by other factors. The findings demonstrate that influencer marketing has a significant impact and a strong relationship with consumer purchase intention.
Sistem Informasi Pengaduan Masyarakat Berbasis Web Pada UPTD Jalan dan Jembatan Wilayah III Moch Alfarezza Ahdan; Karina Wahyu Noviyanti
Greenation Computer and Information Review Vol. 2 No. 2 (2026): Greenation Computer and Information Review (April - September 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v2i2.793

Abstract

Pengelolaan pengaduan masyarakat di UPTD Pengelolaan Jalan dan Jembatan Wilayah Pelayanan III Provinsi Jawa Barat masih dilakukan secara manual. Kondisi tersebut menyebabkan proses pencatatan pengaduan belum terintegrasi, penyimpanan data kurang terorganisasi, serta pemantauan status pengaduan belum dapat dilakukan secara optimal. Akibatnya, proses pengelolaan pengaduan menjadi kurang efektif, membutuhkan waktu yang lebih lama, dan berpotensi menimbulkan kesalahan dalam pengolahan data maupun penyusunan laporan. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Pengaduan Masyarakat (SIPM) berbasis web yang dapat memudahkan masyarakat dalam menyampaikan pengaduan sekaligus membantu administrator mengelola data pengaduan secara lebih efektif, cepat, dan transparan. Penelitian menggunakan metode Research and Development (R&D) dengan model pengembangan Waterfall yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan PHP, MySQL, dan Bootstrap serta dilengkapi fitur pengiriman pengaduan, unggah bukti foto, pelacakan status pengaduan menggunakan nomor tiket, dashboard statistik, serta ekspor laporan dalam format PDF dan Microsoft Excel. Hasil pengujian menggunakan metode Black Box Testing terhadap 20 skenario menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan yang diharapkan dengan tingkat keberhasilan mencapai 100%. Dengan demikian, sistem yang dikembangkan mampu meningkatkan efektivitas pengelolaan pengaduan masyarakat melalui proses yang lebih terstruktur, terintegrasi, transparan, serta mendukung peningkatan kualitas pelayanan publik di UPTD Pengelolaan Jalan dan Jembatan Wilayah Pelayanan III Provinsi Jawa Barat.

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