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All Journal Jurnal Media Infotama Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Nuansa Informatika POSITIF InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik IKRA-ITH Humaniora : Jurnal Sosial dan Humaniora Prosiding Seminar Nasional Pakar Jurnal Manajemen Informatika Jurnal Informatika Global JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Information Systems and Informatics Al-Kharaj: Journal of Islamic Economic and Business JUKI : Jurnal Komputer dan Informatika TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Digital Teknologi Informasi Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Information Technology Ampera Journal of Computer and Information Systems Ampera Journal of Software Engineering Ampera Jurnal Pengembangan Sistem Informasi dan Informatika International Journal of information Systems and Informatics Abiwara : Jurnal Vokasi Administrasi Bisnis Jurnal Ekonomika Dan Bisnis Jurnal Bina Komputer SAINSTEK The Eastasouth Management and Business Innovative: Journal Of Social Science Research Nanggroe: Journal Of Scholarly Service West Science Business and Management Indo-Fintech Intellectuals: Journal of Economics and Business Jurnal Sistem Informasi MANKEU (JURNAL MANAJEMEN KEUANGAN) Nanggroe: Journal of Scholarly Service APPA : Jurnal Pengabdian Kepada Masyarakat SmartComp Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ekonomi, Manajemen, Akuntansi Jurnal Indonesia Mengabdi Nemui Nyimah
Muhamad Akbar
Universitas Bina Insan
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Enterprise Architecture Planning E-Marketplace UMKM Kota Palembang Saputra, Abiyasa Eka; Antoni, Darius; Akbar, Muhamad
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 10, No 3 (2021): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v10i3.2942

Abstract

Indonesia memerlukan pertumbuhan ekonomi paling tidak 7% pertahun agar target pada tahun 2025 yaitu menjadi negara berpendapatan menengah bisa dicapai yang mana saat ini baru terealisasi sebesar 5%. Salah satu cara untuk meningkatkan pertumbuhan tersebut adalah dengan mendorong UMKM untuk meningkatkan keterlibatannya secara digital. Salah satu caranya adalah dengan mendorong UMKM untuk menggunakan e-marketplace. E-marketplace akan memperluas pasar UMKM sehingga bisa meningkatkan pertumbuhan ekonomi. Agar penerapan suatu teknologi informasi bisa maksimal, diperlukan suatu kerangka pedoman pengembangan teknologi informasi tersebut agar teknologi informasi tersebut bisa sesuai dengan tujuannya. Oleh karena itu diperlukan suatu metode yang baik. Enterprise Architecture Planning (EAP) merupakan suatu metode untuk membuat kerangka acuan suatu arsitektur informasi untuk mendukung aktivitas bisnis dengan berorientasi pada kebutuhan bisnis demi mencapai misi suatu organisasi. Penelitian ini memberikan hasil berupa model proses bisnis UMKM Kota Palembang, arsitekur data, aplikasi dan teknologi serta rencana implementasinya sebagai pedoman atau cetak biru untuk perancangan e-marketplace UMKM Kota Palembang.                                                                                                 Kata kunci: EAP, enterprise architecture planning, blueprint, UMKM Kota Palembang, e-marketplace
Strengthening Digital Competence, Business Sustainability, and Organizational Competitiveness in the AI Era: An Interdisciplinary Perspective Akbar, Muhamad
Nanggroe: Jurnal Pengabdian Cendikia Vol 5, No 1 (2026): April 2026
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19782012

Abstract

This activity aims to comprehensively examine the relationship between digital competence, business sustainability, and organizational competitiveness through an interdisciplinary approach that integrates perspectives from management, information systems, human resources, and technological innovation. The method used in this activity involves presentations by speakers on current insights and concepts relevant to digital transformation, organizational capabilities, and the utilization of AI in both business and public sector contexts. The results of the discussion indicate that digital competence not only includes technical skills in using technology but also encompasses analytical, adaptive, and strategic abilities in data-driven decision-making. This seminar is expected to contribute conceptually to the development of interdisciplinary studies and serve as a reference for practitioners and policymakers in formulating strategies to strengthen digital competencies in the AI era. Recognizing the importance of this issue, a community service seminar titled “Strengthening Digital Competence, Business Sustainability, and Organizational Competitiveness in the AI Era: An Interdisciplinary Perspective” was held on December 13, 2025. The seminar thoroughly discussed strategies, analyses, and research findings presented by academic speakers in the fields of digital competence and business sustainability. It also highlighted how organizations that enhance their digital capacity and competencies are better prepared to face the challenges of digitalization.
Deteksi Berita Hoax Berbahasa Indonesia Menggunakan Multilingual-BERT pada Media Berita Online Tarissa, Syalma; Akbar, Muhamad; Martadinata, A. Taqwa; Karman, Joni
TIN: Terapan Informatika Nusantara Vol 6 No 11 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i11.9351

Abstract

The development of infoormation technology is increasing, which can trigger the spread of hoaxes in online newss media, resulting in misinformation for the public. Manual detection of hoaxes is difficult due to the large volume of online news and variety of language styles and mixed language usage. Advances in artificial intelligence technology, particularly Natural Language Processing (NLP), open up significant opportunities for automatically detecting hoax news. Transformer-based NLP models, such as Multilingual-BERT (mBERT), are emerging. Transformer-based models such as Multilngual-BERT (mBERT) are capable of understanding text context in both directions and support various languages, including Indonesian. Therefore, this study aims to apply and test the effectiveness of mBERT in detecting hoax news in online news media. The dataset used comes from TurnbackHoax on the Kaggle website for hoax news, Tempo and CNN Indonesia for non-hoax news datasets, and additional data from the Kaggle website on news coverage in 2025. The data was processed using the built-in mBERT Tokenizer with data undersampling techniques, resulting in a model with an accuracy of 0.97, a precision value of 0.96, a recall of 0.97, and F1-score of 0.97,which shows that the mBERT approach is able to provide high classification performance on the Indonesian language hoax news dataset.
Strengthening Digital Competence, Business Sustainability, and Organizational Competitiveness in the AI Era: An Interdisciplinary Perspective Akbar, Muhamad
Nanggroe: Jurnal Pengabdian Cendikia Vol 5, No 1 (2026): April 2026
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19782012

Abstract

This activity aims to comprehensively examine the relationship between digital competence, business sustainability, and organizational competitiveness through an interdisciplinary approach that integrates perspectives from management, information systems, human resources, and technological innovation. The method used in this activity involves presentations by speakers on current insights and concepts relevant to digital transformation, organizational capabilities, and the utilization of AI in both business and public sector contexts. The results of the discussion indicate that digital competence not only includes technical skills in using technology but also encompasses analytical, adaptive, and strategic abilities in data-driven decision-making. This seminar is expected to contribute conceptually to the development of interdisciplinary studies and serve as a reference for practitioners and policymakers in formulating strategies to strengthen digital competencies in the AI era. Recognizing the importance of this issue, a community service seminar titled “Strengthening Digital Competence, Business Sustainability, and Organizational Competitiveness in the AI Era: An Interdisciplinary Perspective” was held on December 13, 2025. The seminar thoroughly discussed strategies, analyses, and research findings presented by academic speakers in the fields of digital competence and business sustainability. It also highlighted how organizations that enhance their digital capacity and competencies are better prepared to face the challenges of digitalization.
Analisis Sentimen Publik Tagar #IndonesiaGelap atas Kebijakan APBN 2025 Menggunakan Naïve Bayes-Word2Vec Twitter Octavian, Malindo; Akbar, Muhamad; Irawan, Davit
JUKI : Jurnal Komputer dan Informatika Vol. 8 No. 1 (2026): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v8i1.2300

Abstract

Persepsi publik terhadap kebijakan fiskal pemerintah menjadi isu penting di era digital, terutama dengan meningkatnya penggunaan media sosial sebagai sarana penyampaian opini. Munculnya tagar #IndonesiaGelap mencerminkan respons masyarakat terhadap kebijakan Anggaran Pendapatan dan Belanja Negara (APBN) tahun 2025 di Indonesia. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap isu tersebut dengan memanfaatkan data dari Twitter berbahasa Indonesia. Penelitian ini menggunakan pendekatan kuantitatif melalui analisis sentimen berbasis machine learning. Sebanyak 1.000 data tweet dikumpulkan dan diproses melalui tahapan preprocessing, meliputi cleaning, tokenizing, dan normalisasi teks. Ekstraksi fitur dilakukan menggunakan metode Word2Vec, sedangkan proses klasifikasi menggunakan algoritma Multinomial Naïve Bayes. Hasil penelitian menunjukkan bahwa model memperoleh akurasi sebesar 56,7% dengan distribusi sentimen yang didominasi oleh kelas netral. Hal ini menunjukkan bahwa sebagian besar opini publik bersifat informatif dan tidak secara eksplisit mengandung sentimen positif atau negatif. Namun, model masih memiliki keterbatasan dalam mengklasifikasikan sentimen minoritas akibat ketidakseimbangan data. Penelitian ini berkontribusi dalam penerapan metode machine learning untuk menganalisis persepsi publik terhadap kebijakan fiskal serta memberikan gambaran empiris mengenai respons masyarakat berbasis data media sosial, sekaligus menekankan pentingnya peningkatan kualitas data dan optimasi model untuk hasil yang lebih akurat.
Co-Authors . Syamsulbahri ., Janurita Abiyasa Eka Saputra Adi Surya, Ibrahim Agus Sumitro Ahmad Fauzi Aisyah Avriliani Sudaryanti Akbar, M. Azis Firdaus Alex Wijaya Amalia , Rahayu An-nisa Apriani Angga Julio Adrian Antoni Darius Antoni, Darius Anuraga Kusumah Aryanto Badar Syahputra Bayu Wijaya Putra Bunga Intan Darius Antoni Darius Antoni Darius Antoni Darius Antoni Darius Antoni Dea Putri Rahayu Deasy Arianty Dedy Syamsuar Dedy Syamsuar Demy Andriansyah Dendi Irawan Deni Fikari Deni Iskandar Edi Surya Negara Enda, Dedi Erlangga Kesuma Putra Fatmasari Fatoni Ferry Jie Fetinarumi Fhiter.W, Ockhy Jey Gustini, Sri Hadi Syaputra Hardiyansyah Hardiyansyah Hardiyansyah Hardiyansyah Hendriyanto, Donny Herdiansyah, M. Izman Herni Utami Rahmawati Hidayati, Nanda Himawan Sutanto, Himawan I Nengah Marccel Janara Brata Cipta Ilham Candra Solata Indah Lestari Indra Kanedi Irawan, Davit Irman Effendy Irwan Maulana Iski Mediansyah Jaka Purnama Jaka Purnama Jalaluddin Rum Janurita . Judijanto, Loso Karman, Joni Koesharijadi Koesharijadi Koesharijadi, Koesharijadi Kurniawan, Dendi Kurniawan, Tri Basuki Kusnadi, Iwan Henri Lestari, Indri Endang Lilis Marlina Lily Pebriana. S M. Ikhawan Mansyuri Martadinata, A. Taqwa MIFTAHUL JANNAH Muhamad Mashuri Hafid Muhammad Hisbullah Muhammad Rifai Muhammad Sobri Muhammad Sofian Muhammad Syafri Mukhtafin Azman Naapi Amsyor Nadia, Ahsanu Noven Nurani, Atat Siti Nurlia Putri Nurul Adha Oktarini Saputri Nyimas Humairoh Khairunnissa Octavian, Malindo Pamuji Muhammad Jakak Praratya, Atalia Putra, Erlangga Kesuma Radiyati Umi Partan, Radiyati Umi Ridho Adeansyah Ripki Puja Ika Putra Roma Dearni Ryan Andri Saddam Muhammad Saeful Fatah Salampessy, Maryam Saputra, Abiyasa Eka Satrianansyah Selvin Thean Valentina Sinta Bela Lestari Siti Nurmaini Siti Sauda Slamet Sutrisno Suci Anggraini Suci Fitria Ramadani Sudarmanto, Eko Sumpena Dwinanti, Della Dwinanti Supriyati Supriyati Tarissa, Syalma Tri Basuki Kurniawan Tri Rusilawati Kasisariah Trisna Silvia Tungki Ari Bowo Widjadjanto, Kenmada Widya Cholil Yandi, Jepri YOANDA PUTRA Yoga Yarkhamsetiawan Yoko Khomarudin Haabiburochman Yulianti Yulianti Yunsri Putri Zainudin Ismail