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All Journal Jurnal Computech & Bisnis (e-Journal) Jurnal Informatika International Journal of Global Operations Research International Journal of Ethno-Sciences and Education Research Jurnal Pengabdian Masyarakat Tapis Berseri
Habibi, Chairul
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Transportation Other

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Journal : Jurnal Computech

 1 
I-Pos Information System Security Audit Using Framework Control Objectives for Information and Related Technologies 2019 And Information Technology Infrastructure Library 4 Titan Parama Yoga; Habibi, Chairul; Aziz, Nizar Hizbi Abdul
Jurnal Computech & Bisnis (e-journal) Vol. 17 No. 2 (2023): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v17i2.236

Abstract

Information system security is used to protect against cyber attack crimes. Generally, cyber attacks occur because someone wants to intervene in a system to find out the confidentiality and availability of information. PT. Pos Indonesia is a company under the auspices of SOEs engaged in distributing letters and packages. Both domestic package distribution and overseas package distribution. To facilitate the delivery of packages, PT Pos Indonesia developed an information system called I-POS. Based on the results of the researchers' analysis, the I-POS information system is an information system that aims at mail and package delivery transactions, so using the I-POS information system can facilitate the process of delivery transactions, as well as provide accurate, timely, and relevant information. The purpose of this study is to determine the level of maturity of information system security in the field of I-POS information systems at PT. Pos Indonesia, Analyzing the findings and gaps of the level of maturity of the information system security. Based on the results of research that has been conducted through questionnaires using the COBIT 2019 framework with APO13 and DSS05 domains, it was found that the Existing Capability obtained was at level 2 while the expected Capability Level was at level 5 so the Capability Gap produced in these conditions was 3 levels
Sentiment Analysis Of Spotify App In Playstore Using Classification Method Akbar, Imannudin; Berly Bagoes Daniswara; Habibi, Chairul
Jurnal Computech & Bisnis (e-journal) Vol. 19 No. 1 (2025): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v19i1.408

Abstract

Spotify is a globally renowned music streaming program.  The program receives a multitude of ratings, both favorable and unfavorable, on the Google Play Store from various users.  This study intends to evaluate the sentiment of user evaluations for the Spotify application employing various classification techniques, including Logistic Regression, Random Forest, Support Vector Machine (SVM), C4.5, and Extreme Gradient Boosting (XGBoost).  Review data was acquired via web scraping methodologies using the Google Play Scraper API.  After this, text preparation was conducted to sanitize the text, enabling the execution of the data.  Sentiment analysis was employed to ascertain whether a text expresses favorable or unfavorable opinions.  The Random Forest approach, which has been demonstrated to yield optimal outcomes, was employed in this investigation.  Testing was performed using training and test data ratios of 80:20%, 70:30%, and 60:40% across hundreds of review datasets.  The Random Forest approach, utilizing an 80%:20% data split ratio, produced a precision of 82%, recall of 81%, F1-Score of 81%, and accuracy of 81%, according to the test findings
Sentiment Analysis Of Spotify App In Playstore Using Classification Method Akbar, Imannudin; Daniswara, Berly Bagoes; Habibi, Chairul
Jurnal Computech & Bisnis (e-journal) Vol. 19 No. 1 (2025): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Spotify is a globally renowned music streaming program.  The program receives a multitude of ratings, both favorable and unfavorable, on the Google Play Store from various users.  This study intends to evaluate the sentiment of user evaluations for the Spotify application employing various classification techniques, including Logistic Regression, Random Forest, Support Vector Machine (SVM), C4.5, and Extreme Gradient Boosting (XGBoost).  Review data was acquired via web scraping methodologies using the Google Play Scraper API.  After this, text preparation was conducted to sanitize the text, enabling the execution of the data.  Sentiment analysis was employed to ascertain whether a text expresses favorable or unfavorable opinions.  The Random Forest approach, which has been demonstrated to yield optimal outcomes, was employed in this investigation.  Testing was performed using training and test data ratios of 80:20%, 70:30%, and 60:40% across hundreds of review datasets.  The Random Forest approach, utilizing an 80%:20% data split ratio, produced a precision of 82%, recall of 81%, F1-Score of 81%, and accuracy of 81%, according to the test findings.
Analysis of the Influence of Online Transportation Application Usage Using the EUCS Model in Measuring User Satisfaction in Bandung City: Case Study: InDrive Users Akbar, Imannudin; Anggraeni, Hilma; Habibi, Chairul; Nugraha, Arif Bakti
Jurnal Computech & Bisnis (e-journal) Vol. 18 No. 2 (2024): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/615a5517

Abstract

The swift advancement of technology has profoundly influenced the transportation industry, especially in digital transportation services. InDrive provides a Peer-to-Peer transportation service for passengers, wherein travel conditions are established through agreements between passengers and drivers. This study seeks to assess user happiness with the InDrive application in Bandung utilizing the End User Computing Happiness (EUCS) model. A quantitative methodology was utilized to gather data via online questionnaires from a sample of 201 active InDrive customers in Bandung who have utilized online transportation services. The hypotheses were tested using SEM-PLS analysis with SmartPLS 3.0 software. The findings indicate that four factors—content, Accuracy, Ease of Use, and Timeliness—positively and significantly affect user satisfaction. One of the five proposed hypotheses was rejected: the Format variable had no significant impact on user satisfaction, evidenced by a t-statistic of 0.701, below the t-table value of 1.972, and a p-value of 0.484, surpassing the significance threshold of 0.05. This research highlights the necessity to improve the aspects that influence user happiness. Enhancing Content, Accuracy, Usability, and Timeliness will enable InDrive to improve service quality and user experience. The minimal influence of the Format variable indicates a necessity for additional research, offering critical insights for players in the online transportation industry to enhance their services and align more closely with user expectations.
Co-Authors Acep Hendra Akbar, Imannudin Anggraeni, Hilma Aziz, Nizar Hizbi Abdul Berly Bagoes Daniswara Budiman Budiman Budiman Daniswara, Berly Bagoes Mikala, Azka Khafifan Nugraha, Arif Bakti Nur Alamsyah Ramadan, Diki Silvana Anggraeni, Zulmeida Titan Parama Yoga Wulandari Wulandari Yasyfa, Irtsa