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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) AGRISAINS Tahkim (Jurnal Peradaban dan Hukum Islam) SAINSMAT Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Fisika Unand Seminar Nasional Informatika (SEMNASIF) PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi AL QUDS : Jurnal Studi Alquran dan Hadis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika SOSIOHUMANIKA SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam Jurnal PAJAR (Pendidikan dan Pengajaran) Jurnal Mantik Penusa METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal CSRID (Computer Science Research and Its Development Journal) JISICOM (Journal of Information System, Infomatics and Computing) Indonesian Physical Review Jurnal Mantik Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Varian JMTS: Jurnal Mitra Teknik Sipil TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Budimas : Jurnal Pengabdian Masyarakat Al-Qadha: Jurnal Hukum Islam dan Perundang-Undangan Jurnal Bumigora Information Technology (BITe) Jurnal Teknimedia: Teknologi Informasi dan Multimedia International Journal of Engineering, Science and Information Technology Jurnal Manajemen Informatika Jayakarta ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Fundamental Justice Qisthosia Melek IT: Information Technology Journal Constitutionale International Journal of Electronics and Communications Systems Seminar Nasional Pengabdian Kepada Masyarakat Buletin GAW Bariri ( BGB) Journal of Engineering, Technology and Computing (JETCom) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Artificial Intelligence and Digital Business Khidmatuna: Jurnal Pengabdian Masyarakat IIJSE Journal of Innovative and Creativity Educational Journal of Learning Technology Scientific Journal of Informatics DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) aktivisme: Jurnal Ilmu Pendidikan, Politik dan Sosial Indonesia Alamtana Educompassion: Jurnal Integrasi Pendidikan Islam Dan Global Indonesian Journal of Innovation Multidisipliner Research Jurnal Sistem Komputer (SISKOM) Income : Digital Business Journal Prosiding Seminar Nasional CORISINDO Dialog Legal: Jurnal Syariah, Jurisprudensi dan Tata Negara Jurnal Pengabdian Masyarakat Indonesia
Husain Husain
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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ANALISIS SENTIMENT KEUANGAN MENGGUNAKAN FINE-TUNED FINBERT Heroe Santoso; Raisul Azhar; Suryati Suryati; Melati Rosanensi; I Made Yadi Dharma; Husain Husain; Ahmat Adil; Muhamad Azwar; I Putu Hariyadi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.316

Abstract

Financial information is a critical type of data for analysis. However, because much of it is unstructured and widely dispersed, an appropriate analytical method is required, one of which is sentiment analysis. In the financial context, sentiment analysis is employed by the industry to assess public perceptions of companies or market conditions. This study implements a fine-tuned FinBERT model to perform sentiment analysis in the financial sector. The dataset used is a combination of FiQA (Financial Question Answering) and The Financial PhraseBank, consisting of English sentences labeled with negative, neutral, and positive sentiments. The research process involved data preprocessing, tokenization, data splitting, model training, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results show that the model achieved 82% accuracy, with its best performance in the positive class (F1-score 0.88) and the neutral class (F1-score 0.85), but weaker performance in detecting the negative class (F1-score 0.49). These findings indicate that the fine-tuned FinBERT is effective for financial sentiment analysis, particularly for positive and neutral sentiments, though improvements are needed in negative sentiment detection, potentially through expanding training data diversity or applying data augmentation techniques
Kajian Hujan Ekstrem di Balikpapan dan Hubungannya dengan Fenomena Atmosfer Skala Global dan Regional Pada Tahun 1995 – 2024 Novrida, Diyan; Arsyad, Muhammad; Husain, Husain; Prasetiyo, Adi
Buletin GAW Bariri (BGB) Vol 7 No 1 (2026): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v7i1.172

Abstract

Balikpapan is one of the major cities in East Kalimantan that experiences complex atmospheric dynamics due to its geographical conditions. These conditions make Balikpapan vulnerable to extreme rain events that impact the environmental, economic, and sosial sectors. Extreme rain in a region is generally influenced by global and regional atmospheric phenomena such as the El Niño–Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD), and the Madden–Julian Oscillation (MJO), as well as convergent and cyclonic wind patterns. However, studies that specifically examine the relationship between extreme rain and these atmospheric phenomena in Balikpapan remain limited, particularly those utilizing long – term data spanning 30 years, as recommended by the World Meteorological Organization (WMO). This study aims to analyze the relationship between extreme rain in Balikpapan and global as well as regional atmospheric phenomena during the period 1995 – 2024. The data used include daily rainfall, sea surface temperature anomalies in the Niño 3.4 region, the Dipole Mode Index (DMI), MJO phases, and reanalysis data of divergence and relative vorticity. The results show that there were 10 extreme rain events in Balikpapan between 1995 and 2024, generally influenced by convergent wind patterns, cyclonic wind patterns, La Niña, IOD Netral conditions, and the MJO in phase 2. The percentage of convergent and cyclonic wind pattern was higher than that of La Niña, IOD Netral, and MJO in phase 2, indicating that extreme rain in Balikpapan during 1995 – 2024 was more strongly influenced by regional – scale atmospheric phenomena than by global –  scale ones.
Smart Waste Berbasis IoT Menggunakan Transfer Learning MobileNetV2 dan Flask Ayu Nursila; Husain Husain; Muhammad Zulfikri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11687

Abstract

Tingkat kesadaran masyarakat dalam memilah sampah secara mandiri masih rendah walaupun fasilitas tempat sampah terpisah telah tersedia di berbagai ruang publik. Kondisi ini menyebabkan sistem manajemen limbah konvensional menjadi tidak efektif karena sangat bergantung pada kepatuhan pengguna. Penelitian ini bertujuan mengimplementasikan teknologi deep learning pada perangkat IoT berbiaya rendah menggunakan modul ESP32-CAM untuk menciptakan tempat sampah pintar yang mampu memilah sampah organik dan anorganik secara otomatis. Metode yang digunakan adalah kuantitatif eksperimental dengan menerapkan transfer learning berbasis arsitektur MobileNetV2 yang ringan (lightweight), sehingga sesuai dijalankan melalui skema server-side computing berbasis Flask untuk mengatasi keterbatasan sumber daya mikrokontroler. Model dilatih menggunakan dataset gabungan 4.000 citra dari 11 label yang bersumber dari data publik Kaggle dan potret mandiri ESP32-CAM, melalui dua fase pelatihan yaitu feature extraction dan fine-tuning. Hasil penelitian menunjukkan model mencapai akurasi validasi 90% pada fase feature extraction dan meningkat menjadi 91% setelah fine-tuning, dengan weighted average F1-score 0,91. Pengujian klasifikasi real-time menghasilkan tingkat keberhasilan 90% (99 dari 110 sampel), sedangkan pengujian integrasi end-to-end membuktikan bahwa sensor ultrasonik, ESP32-CAM, server Flask, dan motor servo dapat bekerja sama secara kohesif untuk memilah sampah secara otomatis. Penelitian ini menyimpulkan bahwa pendekatan server-side computing berbasis Flask yang dikombinasikan dengan transfer learning MobileNetV2 mampu mentransformasi tempat sampah konvensional menjadi sistem cerdas yang ekonomis bagi area publik dan lingkungan pendidikan.
Estimasi Tinggi Gelombang Smart Buoy Berbasis IMU Menggunakan Madgwick dan Kalman Filter Naufal A. Furqan; Muhammad Zulfikri; Rifqi Hammad; Bambang Krismono Triwijoyo; Husain Husain
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.12301

Abstract

Pengukuran tinggi gelombang laut merupakan informasi penting untuk mendukung keselamatan pelayaran, aktivitas perikanan, dan pemantauan kondisi oseanografi. Namun, perangkat pengukuran gelombang komersial umumnya memiliki biaya yang tinggi sehingga penggunaannya masih terbatas. Penelitian ini bertujuan mengembangkan smart buoy berbasis Inertial Measurement Unit (IMU) untuk mengestimasi tinggi gelombang laut secara real-time menggunakan kombinasi Madgwick Filter dan Kalman Filter. Sistem dikembangkan menggunakan mikrokontroler ESP32, sensor MPU6050, dan komunikasi LoRa untuk mengirimkan data ke Google Sheets yang kemudian divisualisasikan melalui Google Looker Studio. Data akselerometer dan giroskop diproses menggunakan Madgwick Filter untuk memperoleh estimasi orientasi, dilanjutkan dengan kompensasi gravitasi, integrasi numerik untuk memperoleh sinyal heave, serta penyaringan menggunakan Kalman Filter sebelum menghitung Significant Wave Height (Hs). Hasil pengujian menunjukkan bahwa sistem mampu melakukan akuisisi, pemrosesan, pengiriman, dan visualisasi data secara real-time. Hasil estimasi Hs memiliki kesesuaian yang tinggi terhadap data referensi dengan nilai RMSE sebesar 0,0135 m, MAE sebesar 0,0116 m, MAPE sebesar 4,19%, akurasi sebesar 95,81%, dan koefisien determinasi (R²) sebesar 0,9918. Hasil tersebut menunjukkan bahwa kombinasi Madgwick Filter dan Kalman Filter mampu menghasilkan estimasi tinggi gelombang yang akurat, sehingga smart buoy yang dikembangkan berpotensi menjadi alternatif sistem pemantauan gelombang laut yang sederhana, berbiaya relatif rendah, dan mudah diimplementasikan.
Artificial Intelligence dalam Transformasi Industri Multimedia untuk Bisnis dan Ketahanan Digital Nasional I Nyoman Yoga Sumadewa; Widia Febriana; Melati Rosanensi; Husain Husain; Ana Rahmatyar
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 3 (2026): Juli - September
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i3.2017

Abstract

Perkembangan Artificial Intelligence (AI) telah membawa transformasi signifikan pada industri multimedia, mulai dari proses penciptaan konten hingga distribusinya, sekaligus memunculkan implikasi baru terhadap ketahanan digital nasional Indonesia. Artikel ini bertujuan menganalisis pola transformasi industri multimedia berbasis AI serta implikasinya terhadap ketahanan digital nasional melalui pendekatan Critical Literature Review (CLR) atas delapan belas literatur yang mencakup kajian AI-industri kreatif internasional dan kajian ketahanan nasional Indonesia. Hasil sintesis menunjukkan bahwa AI berperan sebagai enabler transformasi pada level teknis maupun epistemologis industri multimedia, membuka peluang produktivitas namun juga menghadirkan tantangan etika seperti hak cipta, deepfake, bias algoritma, dan privasi data. Pada level makro, kesenjangan tata kelola AI pada industri multimedia berpotensi menjadi titik kerentanan bagi ketahanan digital nasional. Artikel ini merumuskan kerangka konseptual integratif yang menghubungkan AI, transformasi industrimultimedia, dan ketahanan digital nasional secara berjenjang, sebagai kontribusi konseptual untuk memperkuat kebijakan tata kelola AI nasional yang lebih adaptif.
Perancangan Blueprint Arsitektur Perusahaan Layanan LKP ITEC Mataram Menggunakan Kerangka Zachman dan ITIL V4 Khairul Akbar; Husain; Muhammad Wisnu Alfiansyah; Andi Sofyan Anas; Khairan Marzuki
Jurnal Sistem Komputer (SISKOM) Vol. 6 No. 3 (2026): Agustus
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/siskom.v6i3.1968

Abstract

The ITEC Mataram Training and Course Institution (LKP) currently faces challenges in conventional administrative governance and the absence of an integrated Learning Management System (LMS) platform. This situation results in suboptimal service quality and operational efficiency. This study aims to design an Enterprise Architecture (EA) as a blueprint for the digital transformation of services at LKP ITEC Mataram. The approach used is a mixed-methods design with a Concurrent Triangulation Strategy. The evaluation of existing governance is measured using the ITSM Maturity Model based on ITIL v4, which is statistically validated using SmartPLS. The mixed methods approach with the Concurrent Triangulation Strategy is chosen to combine qualitative mapping of organizational architecture and quantitative validation of service maturity levels simultaneously. The measurement results indicate a service maturity index (As-Is) of 3.313, leaving a gap of 1.687 towards the target Level 5 (Optimizing). This gap is bridged through system design using the 6x6 Zachman Framework matrix synergized with ITIL v4. The output of the research includes an architectural blueprint and user interface (UI) design for the Learning Management System (LMS). The practical implementation of this blueprint provides a structured guide for institutions in digitizing administrative processes, eliminating redundancy in manual work, and creating standardized and measurable IT service governance.
Evaluasi Manajemen Layanan Teknologi Informasi Berdsarkan ISO/IEC 20000-1 dengan Rekomendasi Perbaikan Berbasis ITIL V4 pada Instansi Pemerintah Ade Aprilia Haliza; Husain; Muhammad Wisnu Alfiansyah; Andi Sofyan Anas; Kurniadin Abdul Latif
Jurnal Sistem Komputer (SISKOM) Vol. 6 No. 3 (2026): Agustus
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/siskom.v6i3.1969

Abstract

The rapid development of information technology compels government institutions to provide services that are effective, responsive, and compliant with established standards. However, information technology service management still encounters challenges in service documentation, incident management, operational procedures, as well as service monitoring and evaluation. This study aims to evaluate the conformity of information technology service management based on ISO/IEC 20000-1 as the evaluation standard, and to develop improvement recommendations based on the Information Technology Infrastructure Library (ITIL) V4 to address the identified gaps. A mixed methods approach was employed through observation, interviews, documentation, and questionnaire distribution. The evaluation was conducted by comparing existing service management practices with the requirements of ISO/IEC 20000-1, followed by gap analysis and maturity level assessment. The results indicate that the organization has not yet fully complied with several ISO/IEC 20000-1 requirements, particularly in the areas of Service Management System documentation, operational control, IT asset management, service performance evaluation, and continual improvement. The average maturity level was 2.5 (between Level 2 – Managed and Level 3 – Defined), indicating that service processes have been implemented but are not yet consistently documented and standardized. The ITIL V4-based recommendations developed in this study are expected to serve as a practical reference for improving information technology service management, making it more structured, well-documented, and aligned with the requirements of ISO/IEC 20000-1.
Co-Authors Abdul Manan Abidin Nurdin Abubakar, Ahmad Shirat Adam, Rizilvana Datu Ade Aprilia Haliza Adi Prasetiyo, Adi Adi, W. A. Adli Abdillah Nababan Afriandi, Mahsus Ahmad Ahmad Ahmat Adil Akhriana, Asmah Al-Mu’min, Al-Mu’min Amin, Muh. Agil Ana Rahmatyar Andi Asmawati Azis Andi Sofyan Anas Annah Annah, Annah Anthoni Anggrawan Anthony Anggrawan Apriani Apriani Apriliana, Zikriati Ardiasyah, Muhammad Irwan Arifin, Arham Arifin, Suci Ramadhani Armansah Armansah, Armansah Asep Nursobah, Asep Aspari, Zulkarnaen Astuti, Sindi Atsidiqi, Satriawan Nadhrotal Awi, Awi Ayu Nursila azhar mardedi, lalu zazuli Azhar, Raisul Basa T Rumahorbo Chani Saputri, Dian Syafitri Christofer Satria christofer satria Christopher Michael Lauw Dadang Pyanto Damayanti Elisabeth Dana Indra Sensuse Daniel Happy Putra Desiana Trisnawati Tobigo Devilla, Rego Djamalyanto, Meidi Dyah Susilowati Dyah Susilowati Edy Saputra Eko Hadi Sujiono Elna Purnamayanti Engelbertus Mite Erni Haryanti Fadiel Rahmad Hidayat Fathurrahman Fathurrahman Fitriani, Nurul Fristi Riandari Fu’ad, Asep Galih Hendro Martono Galih Tri Aditya Haerani, Ruslan Hamdan, Abdul Rahim Hammad, Rifqi Harahap, Aziddin Hariadi, Fadli Hariyadi, I Putu Harsyiah, Lisa Hasanuddin Hasanuddin Helna Wardhana Hendayanti, Ni Putu Nanik Hengki Tamando Sihotang Heri Sumantri Herlinda Herlinda, Herlinda Herman Mawengkang Hidayatulloh, Miftah Khilmi Husaeri, Muzammil I Made Yadi Dharma I Made Yadi Dharma I Nyoman Yoga Sumadewa I Putu Hariyadi Ikrom, Paizul Imam Alfurqan Indriasari, Sofianti Innudin, Muhammad Istin Fitriana Aziza Jaya, Nenet Natasudian Johnson Siallagan Josman, Lady Faerrosa Kadir, Taqyuddin Khaeruddin Khaeruddin Khairan marzuki Khairul Akbar Khairunnisa Khairunnisa Kurniadin Abd Latif Kurniawan, Vittorio Kusuma, Ariska Cesar Divian Candra Lalu Egy Sefta Wiguna Lalu Yayan Ardiansyah Lanang Sakti lauw, Christopher Michael Lilik Widyawati Lita, Lita Lusa, Sofian M Safii M Safii M. Amal, M. Amal M. Arif Soeleman M. Najmu Fadli M. Rizal Manalu, Janviter Mangitung, Septina F Mardedi, Lalu Zazuli Azhar Masbudi, Handika Maulana, Hifzul Wathoni Melati Rosanensi Michael Lauw, Christopher Miftahul Huda Mochamad Wahyudi Mohamad Erihadiana, Mohamad Mokodenseho, Sabil Muhamad Azwar Muhamad Azwar, Muhamad Muhamad Wisnu Alfiansyah Muhammad Arsyad Muhammad Fathoni, Muhammad Muhammad Haris Nasri Muhammad Husni Abdulah Pakarti Muhammad Irwan Ardiasyah Muhammad Rosikhu Muhammad Safii Muhammad Safir MUHAMMAD TAJUDDIN MUHAMMAD TAUFIK Muhammad wisnu Alfiansyah Muhammad Zarlis Muhammad Zulfikri Mukhlas, Oyo Sunaryo Mutmainah Mutmainah Nadya Safitri Naufal A. Furqan Ni Ketut Sri Winarti Noegroho, Haris Noor, Tajuddin Novita Novita Novrida, Diyan Nur Intan, Nur Nur, Muhammad Muhaimin Nurdiansah, Nurdiansah Nurfadilah Nurfadilah Nurhayati Nurhayati Nurul Fitriani Nurwahid, Hidayat Pariabti Palloan Peter Wijaya Sugijanto Pilisman Buulolo Pristiyono, Pristiyono Pulung Nurtantio Andono Putra, I Gede Bagus Resa Pratama Putra, Muhammad Riyandana Putra, Muhammad Wahyu Rama Yuda Putri, S. Putro, Prasetyo Adi Wibowo Raden Mohamad Herdian Bhakti Rahman Prasetyo Rahman Rahman Rahmatyar, Ana Ramadhan, Rahmat Adi Mulya Rana, Dwi Randy Vallentino Neonbeni Rauhil Fahmi Razali, Nabihah Husna Ridha Nurul Hayati Ridwan Afandi Rifqi Hammad Riski, Riski Ryaldi, Muhammad Saebani, Beni Ahmad Safriani, Laela Sahdan, Sahdan Sambaeni, Daniel Santoso, Heroe Saparudin Efendi Sappeami, Sappeami Sarib, Suprijati Sirojul Hadi Sistyawan, Dwanda Julisa Siti Rohmah Siti Soraya Sitti Aisa, Sitti Sofian Lusa Stevany Hanalyna Dethan Subaer - Subaer, S. Sufyan Mubarak Sujaka, Tomi Tri Sulihin, Hafsah Surasa, Ais Suriyati ., Suriyati Suryati Suryati Sutarman Sutarman Syafira Mahfuzi Ardiyati Taryana, Y. Tomi Tri Sujaka Triwijoyo, Bambang Krismono Tutang, Risma Putri Willy Ulpah, Ghina Utami, Herniella Tiara Victoria Cynthia Rebecca Wahidaturrahmi, Ifani Wardhana, M.Alifya Widia Febriana Wirajaya Kusuma Yahya, Muh. Yakub, Bahruddin Umar Yayan Suganda Zaenal Muttaqin Zainab Zainab Zulfikri, Muhammad