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All Journal Jurnal Computech & Bisnis (e-Journal) International Journal of Quantitative Research and Modeling Jurnal Pengabdian Masyarakat Tapis Berseri Nuansa Informatika Jurnal Bhakti Karya dan Inovatif Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Akbar, Imannudin
Sistem Informasi, Fakultas Teknologi Dan Informatika, Universitas Informatika Dan Bisnis Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Library & Information Science Physics Social Sciences Other

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Journal : Jurnal Computech

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Information Systems Strategic Planning at one of the Vocational High Schools in Cimahi Imannudin Akbar Iman; Venia Restreva Danestiara; Syahira Putri Himmaniah
Jurnal Computech & Bisnis (e-journal) Vol. 18 No. 1 (2024): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v18i1.301

Abstract

A strategic plan is an organization's detailed and extensive strategy to effectively manage its resources and achieve its goals within a specified period. Effective implementation of an information system necessitates strategic planning inside an organization to capitalize on the advantages of the information system implementation fully. This also applies to a Vocational High School in Cimahi. The school encounters many obstacles, including managing school data and performance assessments and requiring a unified system across departments to facilitate the school's operational procedures. Strategic planning establishes specific objectives, such as integrating information systems in academic and non-academic operations, overseeing school data management, enhancing infrastructure management efficiency, and boosting competitiveness by developing a web-based school support system for information and promotional purposes. Aligning the information system's strategies with the school's business strategies will aid in accomplishing these objectives. Developing information system strategies necessitates alignment with the organization's existing business strategies. This research examines the strategic information system planning process, specifically employing the Ward-Peppard technique. This approach facilitates a more comprehensive comprehension of the firm before developing a strategic plan. It involves doing a SWOT analysis, Value Chain analysis, Porter's Five Forces analysis, and McFarlan's strategic grid analysis as recommendations for the proposed information system strategies.
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
Co-Authors Acep Hendra Ari Rizki Fauzi Arnold Ropen Sinaga Berly Bagoes Daniswara Budiman Dani Setiawan Dena Susanti Fikri Muhamad Fahmi Habibi, Chairul Januantara Prima, Alif Lestari, Gita Ayu Marwondo Niqotaini, Zatin Nugraha Nugraha Nur Alamsyah Nursyanti, Reni Permata Hati, Tiara R. Yadi Rakhman Alamsyah Ramadhani, Muhammad Wahyu Reni Nursyanti Setiana, Elia Setiana, Elia Setiana Sinaga, Arnold Ropen Sinaga Syahira Putri Himmaniah Taufik Hidayah Titan Parama Yoga Venia Restreva Danestiara