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All Journal Jurnal Khatulistiwa Informatika Journal of Information Technology and Computer Science (JOINTECS) JurTI (JURNAL TEKNOLOGI INFORMASI) METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Nasional Komputasi dan Teknologi Informasi WIDYA LAKSANA Jurnal Informatika Kaputama (JIK) EVOLUSI : Jurnal Sains dan Manajemen JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Ilmu Teknik dan Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) Infotek : Jurnal Informatika dan Teknologi Jurnal Pengembangan Sistem Informasi dan Informatika JUSTIAN - Jurnal Sistem Informasi Akuntansi J-Intech (Journal of Information and Technology) Ilmu Komputer untuk Masyarakat Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Abdimas Le Mujtamak Mestaka: Jurnal Pengabdian Kepada Masyarakat Dedikasi Saintek Jurnal Pengabdian Masyarakat SOROT: Jurnal Pengabdian Kepada Masyarakat Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan DEDIKASI SAINTEK Jurnal Pengabdian Masyarakat Indonesian Community Service Journal of Computer Science (IndoComs) Jurnal Nasional Komputasi dan Teknologi Informasi
Panny Agustia Rahayuningsih
Universitas Bina Sarana Informatika
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Pemanfaatan Interactive Flat Panel dengan Mewujudkan Pembelajaran Digital Interaktif di Sekolah Luar Biasa Panny Agustia Rahayuningsih; Wahyu Nugraha; Riski Annisa; Anna Anna
Indonesian Community Service Journal of Computer Science Vol. 3 No. 2 (2026): Periode Juli 2026
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/indocoms.v3i2.13175

Abstract

Perkembangan teknologi digital menuntut transformasi media pembelajaran di lingkungan Sekolah Luar Biasa (SLB). Keterbatasan pemahaman guru terhadap integrasi teknologi interaktif sering kali membuat perangkat digital di sekolah tidak termanfaatkan secara optimal. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan kompetensi pedagogis digital guru di SLB Negeri Rasau Jaya, Kabupaten Kubu Raya, melalui pelatihan pemanfaatan Interactive Flat Panel (IFP) Hisense 75WM61FE. Metode pelaksanaan kegiatan meliputi tahap analisis situasi mitra, tahap perancangan materi pelatihan, tahap pelaksanaan workshop, serta tahap evaluasi kualitatif melalui praktik mandiri. Hasil kegiatan menunjukkan peningkatan pemahaman guru secara signifikan mengenai perbedaan fundamental antara IFP dengan media konvensional (TV/proyektor) beserta keunggulan spesifikasi teknisnya. Selain itu, guru juga berhasil menguasai dan mengoperasikan enam fitur utama perangkat, yaitu Smart Whiteboard, Screen Mirroring, Video Conference Built-in, Split Screen 4-Way, Multi-Touch 55 Titik, dan pemanfaatan Google Play Store. Melalui pelatihan ini, guru SLB Negeri Rasau Jaya kini mampu mengintegrasikan fitur-fitur inti IFP untuk menciptakan ekosistem pembelajaran digital yang interaktif dan kolaboratif bagi anak berkebutuhan khusus
Rancang Bangun Sistem Informasi Pengarsipan Dokumen Di Kantor Camat Segedong Berbasis Web Santi Santi; Sri Murni; Kartika Handayani; Erni Erni; Panny Agustia Rahayuningsih; Fuad Nur Hasan
Jurnal Sistem Informasi Akuntansi Vol 6 No 1 (2025): Periode Maret 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v6i1.9429

Abstract

In accordance with Pontianak District Regulation No. 7 of 2005, which formally established Segedong District, it was created by dividing Siantan District, which is now Jongkat District. Document archiving, including the recording of arriving and outgoing letters, is an integral part of the work of the Segedong Camat Office, a government agency in Segedong that provides services. The Segedong Sub-District Office has an issue with document archiving; specifically, they still use an agenda book to manually record incoming and outgoing letters. There is a risk of data corruption or loss while using the agenda book to record letters. The Segedong Sub-District Office is in need of an information system for web-based archiving. The research methodology involves conducting interviews and direct observations of the Segedong District Office's document filing system. In response to the challenges encountered by the Segedong District Office's staff in the process of document archiving, the author proposes the development of a web-based document archiving information system. Development of websites in PHP with the help of Xampp and MySQL. data pertaining to outgoing mail, index, reports on arriving mail, and reports on outgoing mail
Analisis Sentimen Gugurnya Anggota TNI dalam Misi UNIFIL pada Twitter Menggunakan Perbandingan Model Machine Learning Silvi Ayuni; Panny Agustia Rahayuningsih; Muhammad Rezki
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/nq1w5959

Abstract

Abstrak - Gugurnya empat prajurit Tentara Nasional Indonesia (TNI) dalam misi perdamaian United Nations Interim Force in Lebanon (UNIFIL) di Lebanon Selatan pada 29-30 Maret 2026 dan 24 April 2026 memicu reaksi opini publik yang luas di platform Twitter. Penelitian ini bertujuan untuk menganalisis sentimen masyarakat Indonesia terhadap peristiwa gugurnya 4 anggota TNI,  sekaligus untuk membandingkan performa antara lima algoritma machine learning, yaitu Logistic Regression, Random Forest, Support Vector Machine (SVM), Neural Network (MLP), dan Decission Tree. Data dikumpulkan menggunakan Tweet Harvest dengan 11 kata kunci pencarian pada periode 30 Maret hingga 19 Mei 2026.11 File tersebut kemudian di blending dan  menghasilkan 1.632 cuitan yang kemudian setelah melalui tahapan preprocessing data yang dihasilkan menjadi 764 data. Pelabelan data dilakukan secara otomatis menggunakan pendekatan lexicon-based dengan kamus InSet (Indonesian Sentiment Lexicon), menghasilkan distribusi 78% data berlabel negatif dan 22% positif. Ekstraksi fitur menggunakan TF-IDF, serta penanganan ketidakseimbangan kelas menggunakan SMOTE yang diterapkan hanya pada data latih. Pembagian data menggunakan rasio 80:20 dengan Stratified K-Fold Cross Validation (K=5). Hasil evaluasi menunjukkan bahwa Neural Network (MLP) merupakan model terbaik dengan F1-score macro tertinggi sebesar 0,7795, akurasi 0,8627, dan AUC-ROC 0,8485. Kata kunci : Analisis Sentimen; Machine Learning; UNIFIL; Twitter; Imbalanced Data; Abstract - The fall of four soldiers of the Indonesian National Armed Forces (TNI) during the United Nations Interim Force in Lebanon (UNIFIL) peacekeeping mission in South Lebanon on March 29–30, 2026, and April 24, 2026, sparked widespread public opinion reactions on the Twitter platform. This study aims to analyze Indonesian public sentiment regarding the incident of the four TNI members' fall, while also comparing the performance of five machine learning algorithms, namely Logistic Regression, Random Forest, Support Vector Machine (SVM), Neural Network (MLP), and Decission Tree. Data were collected using Tweet Harvest with 11 search keywords during the period from March 30 to May 19, 2026. The 11 files were then blended, yielding 1,632 tweets, which after going through the data preprocessing stages resulted in 764 data points. Data labeling was performed automatically using a lexicon-based approach with the InSet (Indonesian Sentiment Lexicon) dictionary, producing a distribution of 78% negatively labeled data and 22% positively labeled data. Feature extraction used TF-IDF, and class imbalance was handled using SMOTE applied only to the training data. Data splitting used an 80:20 ratio with Stratified K-Fold Cross Validation (K=5). The evaluation results show that the Neural Network (MLP) is the best model with the highest macro F1-score of 0.7795, accuracy of 0.8627, and AUC-ROC of 0.8485. Keywords: Sentiment Analysis; Machine Learning; UNIFIL; Twitter; Imbalanced Data;
Co-Authors Adrianus Windi Anna Anna Anna Anna Anna Anna Anna Anna, Anna Anna, Anna - Ardiyansyah Ardiyansyah Ardiyansyah Ardiyansyah Ardiyansyah Ardiyansyah Asmu’I Nurfi’i Bima Mukti Nugroho Eliska, Puspa Eri Bayu Pratama Erni Erni Fadilah, Aldi Fikri Fikri Fradinata Fradinata Fuad Nur Hasan Haris Setyo Pratomo Herman Firmansyah Hidayana, Reymond Syahputra Ifran Augitiansyah Kartika Handayani Laurensius Kevin Megachandra Myne Laurensius Kevin Megachandra Myne Lupias Maulana, Reza - Mohammad Kamal Reza Monikka Nur Winnarto Muhammad Rezki Muhammad Sony Maulana Nadia, Putri Nurfia Oktaviani Syamsiah Patina Patina Patina, Patina Purwaningtias, Deasy Purwaningtias, Deasy Raja Sabaruddin Raja Sabaruddin Raja Sabarudin Ramadhani, Zulfikar Ismaya Reza Maulana Riski Annisa Rona Santi Santi Silvi Ayuni Siti Nurdiani Sri Murni Theofilus BA Wahyu Nugraha Winnaarto, Monikka Nur Yulia yulia Yulia Yulia Zabaniyah Zabaniyah