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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Students´ Journal of Accounting and Banking Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Angkasa: Jurnal Ilmiah Bidang Teknologi IJID (International Journal on Informatics for Development) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Teknomatika: Jurnal Informatika dan Komputer
Arif Himawan, Arif
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Nursing Public Health Social Sciences Other

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Pengaruh Budaya Organisasi Terhadap Kesuksesan Manajemen Proyek Teknologi Informasi: Studi Kasus Perguruan Tinggi di Indonesia Setiawan, Chanief Budi; Himawan, Arif; Wati, Krisna Mutiara
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i1.186

Abstract

Initiatives to develop IT projects in the education sector have shown significant potential to improve the quality of learning in Indonesia. Effective IT project management is crucial to the progress of this IT project. Nevertheless, the study reveals that from 2017 to 2021, there were obstacles in the form of a relatively high number of project failures (61%), and only 18% of information technology initiatives were successful. This study is designed to assist organizations in identifying and managing critical factors in their organizational culture to achieve success in IT project management as part of their efforts to achieve national technological resilience. The respondents in this study were lecturers and education personnel at universities in Indonesia who met specific criteria, including their involvement in information technology initiatives at their institutions. This investigation employed a convenience sampling method in conjunction with a non-probability sampling technique. According to the analysis, the success of information technology project management was significantly enhanced by organizational culture, which encompassed communication, awards and incentives, learning, and cooperation. The study's findings can assist Indonesian firms in recognizing and controlling key elements of their organizational culture that contribute to the success of IT project management inside their establishments, hence enhancing Indonesia's technological resilience as a whole.
Klasifikasi Berita Hoaks Pasca Pemilihan Umum Presiden Dan Wakil Presiden Republik Indonesia Tahun 2024 Menggunakan Algoritma K-Nearest Neighbour Arianti, Dennis Fitri Salsabilla; Aesyi, Ulfi Saidata; Himawan, Arif
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 1 (2025): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i1.2596

Abstract

In the 2024 election, widely celebrated as a festival of democracy, the spread of hoax news through social media has become a significant concern. A total of 203 hoax issues were identified, resulting in the spread of 2,882 hoax contents across various websites. A survey by Katadata Insight Center (KIC) revealed that between 30% to 60% of Indonesians were exposed to such hoaxes, with only 21% to 36% of them able to accurately discern whether the news was factual or a hoax. This research aims to develop a model using the K-Nearest Neighbour (KNN) algorithm to evaluate the accuracy and reliability of news from various Indonesian news websites through machine learning-based classification techniques. By categorizing news into potentially factual and potentially hoax categories, this study seeks to provide insights into which news pages are more likely to present factual information. The method employed involves Term Frequency-Inverse Document Frequency (TF-IDF) word weighting combined with KNN modeling, using Euclidean distance for calculation. The KNN model achieved a training accuracy of 0.90 and a testing accuracy of 0.88. The findings indicate that news sites such as detik.com, okezone.com, liputan6.com, and cnnindonesia.com demonstrate higher accuracy in the news they present. The use of the KNN method successfully identified probabilities of factual and hoax potential across news websites, including kompas.com, liputan6.com, detiknews.com, antaranews.com, cnnindonesia.com, okezone.com, sindonews.com, kumparan.com, pikiranrakyat.com, and wartatransparansi.com
Co-Authors 10.05.52.0190 Noviadinar Imariza Rahmawati, 10.05.52.0190 11.05.52.0001 Jeffri Andrian Salam, 11.05.52.0001 11.05.52.0020 Ferdiyan Andi Santoso, 11.05.52.0020 Adri Priadana Ahmad Hanafi Alfi Sa'diya, Nafisa Angkotasan, Muhamad Arabi Rizki Arianti, Dennis Fitri Salsabilla Aris Wahyu Murdiyanto Chanief Budi Setiawan Dian, Verlyna Hisanah, Iklil Khabani, Muhamad Zul Kharisma, Kharisma Krisna Mutiara Wati Murdiyanto, Aris Puji Winar Cahyo Sholeh, Adkhan Syahruddin, Fajar Titik Rahmawati Ulfi Saidata Aesyi