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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) INTECOMS: Journal of Information Technology and Computer Science Jurnal Informatika Kaputama (JIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Buana Ilmu Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Buana Information Technology and Computer Sciences (BIT and CS) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Infotek : Jurnal Informatika dan Teknologi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Tika Jurnal Info Sains : Informatika dan Sains Dirgamaya: Jurnal Manajemen dan Sistem Informasi Abdimas Journal International of Lingua and Technology Jurnal Komtekinfo Jurnal Buana Pengabdian Innovative: Journal Of Social Science Research JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah INTERNAL (Information System Journal) CSRID
Tukino
Universitas Buana Perjuangan Karawang
Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi

 1 
Sentimen Analisis Twitter Ibu Kota Negara Nusantara Menggunakan Long Short-Term Memory dan Lexicon Based Saepul Aripiyanto; Tukino Tukino; Ammar Sufyan; Riandi Nandaputra
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 2 (2022): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i2.2821

Abstract

In the 2020 APJII Survey, Indonesians who use Twitter for social media are 10% of the entirety of social media users in Indonesia (APJII 2020), the issue that is being discussed a lot both on social media and offline discussions, is the National Capital City (IKN) of the Archipelago, which is the new capital city of the Republic of Indonesia. The relocation of the capital city raises pros and cons. With these pros and cons, an analysis of public sentiment regarding the IKN issue becomes a necessity. In this research, the model that will be used to analyze sentiment analysis uses the Long Short Term Memory (LSTM) algorithm and lexicon based on two scenarios, which is the scenario that uses 100 data of tweets and 5112 data of tweets. The results for the 100 tweets dataset scenario obtained 64% accuracy, 40% precision, 64% recall, and 79% F1-Score. Meanwhile, the results for the 5112 tweets data scenario obtained 79% accuracy, 82% precision, 79% recall, 79% F1-Score. The sentiment results obtained from the 5112 tweets data are 44.8% positive sentiment, 36.2% negative sentiment and 19.0% neutral sentiment. Based on this research, the number of datasets will affect the performance of deep learning models built using lexicon based and LSTM algorithms.
Penyelarasan Sistem Tata Kelola pada PT. MEI dengan Menggunakan Cobit 2019 Insan Kamaludin Arifin; Tukino Tukino; Fitria Nurapriani; Saepul Aripiyanto
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 2 (2022): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i2.2804

Abstract

PT. MEI is a consulting company providing human resources and management of human resource functions, one of the programs implemented is the Domestic Apprenticeship program, to carry out these business processes. PT. MEI already has an information system but it is not optimal and is named (Apprenticeship Administration Information System). Therefore the use of COBIT Design Toolkit 2019 aims to help PT. MEI in aligning the governance system so that it is well mapped and ensures that IT achievements are aligned with the management and business environment in the company. This study aims to design a Governance Design based on the 2019 Cobit Design Toolkit The method used is to utilize the Cobit 2019 design factor, this study produces recommendations for the use of the priority core model and the competency level of PT. MEI The results of this study will be based on 31 core models or processes that need to be run with level 1 capabilities, two core samples or processes that need to be run with level 2 capabilities, four core models or processes that need to be run with level 3 capabilities, and two models or core competency processes that need to be implemented with competency level 4. Companies must conduct an assessment of the main point stage model According to the results of this study to ensure that business processes operate optimally. The core model evaluation phase must be done by level of importance put forward by the 2019 COBIT design factors as a follow-up to the findings of this study.
Co-Authors Aditia Agustian Adittia Agustian Agneresa Agneresa Agry Alfiah Agustia Hananto Ahmad Fauzi Ammar Sufyan April Lia Hananto Aprilia Putri Nardilasari Aurel Adhitya Anwar Awaljan Situmorang Baenil Huda Bei Harira Irawan Catur Nugroho Daffa Agung Pratama Danny Manongga Daryanto Herdiana Deddy Prihadi Dien Noviany Rahmatika Dyno Syaiful Annam Faqih Pratama Muthi Fitria Nurapriani Fitria Nurapriani Fizra Firdaus Nillan Gunawan Gunawan Hafizh Dharmawan I Gede Iwan Sudipa Ina Julia Indra Ferdiansyah Insan Kamaludin Arifin Irpan Hilmi Ismi Karniawulan Jabar Sanjaya Kamila Berkah* Luiz Eichler Muammar Khaddafi Muhamad Djaka Permana Muhamad Rizky Arfani Muhammad Hatami Muhammad Khaerudin Muslih, Muhamad Naufal Zubdi Ahnaf Novalia, Elfina Novia Cahya Utami Piky Mubarok Priyatna, Bayu Rachmawati Novaria Riandi Nandaputra Ruliansyah Ruliansyah Saepul Aripiyanto Saepul Aripiyanto Sandi Ahmad Seia Piantara Shofa Shofia Hilabi Shofa Shofiah Hilabi Siti Masruroh soleman soleman Sutarto Sutarto Tatuhey, Emy Lenora Tiago Silva Tita Puspita Sari Tyas Widyanti Wahyu Azriel Akbari Widiyawati Widiyawati Witulas Ambang Cahyati Wresti Andriani