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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Penelitian Pendidikan IPA (JPPIPA) INTECOMS: Journal of Information Technology and Computer Science JURNAL TEKNOLOGI DAN OPEN SOURCE JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL MAHAJANA INFORMASI Community Engagement and Emergence Journal (CEEJ) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Djtechno: Jurnal Teknologi Informasi Jurnal Media Informatika Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Jurnal Kajian Ilmu Pendidikan (JKIP) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Media Computer Science Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Masyarakat Indonesia DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Wijaya, Rian Farta
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SOSIALISASI DAN IMPLEMENTASI SISTEM INFORMASI TANGGAP DARURAT BENCANA ALAM KOTA MEDAN Hrp, Abdul Chaidir; Wijaya, Rian Farta; Sukrianto, Sukrianto; Ardya, Dwika; Helmy, Ahmad; Mentari, Siti
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5322

Abstract

Abstract: The city of Medan is one of the regions in North Sumatra that is vulnerable to natural disasters such as floods, fires, and extreme weather events. Limited access to accurate information, low community preparedness, and the absence of integrated disaster information systems remain major challenges in disaster risk reduction efforts. This community service activity aims to improve community preparedness and response capacity through the socialization and implementation of a web-based Disaster Response Information System for Medan City. The methods used include problem identification, system development, socialization, training, and system implementation involving community representatives and local stakeholders. The results indicate an increase in community understanding of disaster mitigation and emergency response procedures, as well as the utilization of the information system as a medium for early warning, reporting, and coordination. The implementation of the disaster response information system is proven to support faster information dissemination and strengthen community participation in disaster management efforts.            Keywords: disaster mitigation; information system; community service; disaster response; Medan City  Abstrak: Kota Medan merupakan salah satu wilayah di Provinsi Sumatera Utara yang memiliki tingkat kerawanan tinggi terhadap bencana alam seperti banjir, kebakaran, dan cuaca ekstrem. Keterbatasan akses informasi yang akurat, rendahnya kesiapsiagaan masyarakat, serta belum terintegrasinya sistem informasi kebencanaan menjadi permasalahan utama dalam upaya pengurangan risiko bencana. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesiapsiagaan dan kapasitas tanggap bencana masyarakat melalui kegiatan sosialisasi dan implementasi Sistem Informasi Tanggap Bencana berbasis web di Kota Medan. Metode pelaksanaan meliputi identifikasi masalah, pengembangan sistem, sosialisasi, pelatihan, dan implementasi sistem dengan melibatkan perwakilan masyarakat dan pemangku kepentingan lokal. Hasil kegiatan menunjukkan adanya peningkatan pemahaman masyarakat terhadap mitigasi bencana dan prosedur tanggap darurat, serta pemanfaatan sistem informasi sebagai media peringatan dini, pelaporan kejadian, dan koordinasi. Implementasi sistem informasi tanggap bencana terbukti mendukung percepatan penyebaran informasi dan memperkuat partisipasi masyarakat dalam penanggulangan bencana. Kata kunci: mitigasi bencana; sistem informasi; pengabdian masyarakat; tanggap bencana; Kota Medan
PELATIHAN PEMBUATAN DIGITAL LOOKBOOK BERBASIS AI BAGI MASYARAKAT DI LKP AZ ZIKRA Hermawan, Rudi; Wijaya, Rian Farta; Budianto, Eko; Septian, Muhammad; As'ary, Muhammad Hasyim; Sitepu, Andri Ismail
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5315

Abstract

Abstract: The rapid development of artificial intelligence (AI) technology presents both challenges and opportunities for the general public, particularly in the creative economy sector. This community service activity aims to improve the digital literacy and creative competency of the community at LKP Az Zikra through training on creating digital lookbooks using AI-based platforms. The method employed involves direct training with a "learning by doing" approach, encompassing introduction to generative AI, prompt engineering techniques, and practical creation of digital fashion catalogs. The activity focuses on transferring skills in utilizing tools such as AI image generators to produce professional visual assets without high costs. The results indicate a significant increase in participants' ability to operate AI technology for product visualization purposes. Participants successfully produced digital lookbooks that meet industry standards in terms of aesthetics and resolution. This capability proves that AI technology democratization can be effectively achieved through structured non-formal education, providing economic value added for community business promotion.            Keywords: artificial intelligence; digital lookbook; community empowerment; creative economy; vocational training  Abstrak: Pesatnya perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) menghadirkan tantangan sekaligus peluang bagi masyarakat umum, khususnya dalam sektor ekonomi kreatif. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital dan kompetensi kreatif masyarakat di LKP Az Zikra melalui pelatihan pembuatan digital lookbook berbasis platform AI. Metode yang digunakan adalah pelatihan langsung dengan pendekatan learning by doing yang mencakup pengenalan generative AI, teknik prompt engineering, dan praktik pembuatan katalog mode digital. Fokus utama kegiatan adalah transfer keterampilan penggunaan perangkat lunak penghasil gambar otomatis untuk menghasilkan aset visual profesional tanpa biaya tinggi. Hasil kegiatan menunjukkan adanya peningkatan signifikan pada kemampuan peserta dalam mengoperasikan teknologi AI untuk keperluan visualisasi produk. Peserta berhasil menghasilkan luaran berupa digital lookbook yang memenuhi standar estetika industri dan resolusi gambar. Kemampuan ini membuktikan bahwa demokratisasi teknologi AI dapat dilakukan efektif melalui pendidikan non-formal yang terstruktur serta memberikan nilai tambah ekonomi bagi promosi usaha masyarakat. Kata kunci: kecerdasan buatan; digital lookbook; pemberdayaan masyarakat; ekonomi kreatif; pelatihan vokasi  
Artificial Intelligence as a Science Teacher Assistant: An Analysis of Machine Learning Utilization in Diagnosing Student Misconceptions: A Review Purnama, Iwan; Wijaya, Rian Farta; Harahap, Aziddin; Edi, Firman
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.13089

Abstract

Diagnosing these misconceptions in a crowded classroom context is very difficult, time-consuming, and subjective when using conventional methods, which often leads to ineffective teaching interventions. To address the urgent need for accurate and objective diagnosis, this article proposes and analyzes the role of Artificial Intelligence (AI), specifically Machine Learning (ML) technologies such as natural language processing (NLP). ML models can analyze student response data (essays) quickly and consistently, acting as science teacher assistants to strengthen diagnostic capabilities. This study uses a systematic literature review method to analyze and synthesize existing research findings regarding Artificial Intelligence as a Science Teacher's Assistant: An Analysis of the Utilization of Machine Learning in Diagnosing Student Misconceptions. This research aims to analyze and explain Artificial Intelligence as a Science Teacher's Assistant: An Analysis of the Utilization of Machine Learning in Diagnosing Student Misconceptions. The brief objectives of this study are as follows: to analyze the utilization of Machine Learning (ML) models in objectively diagnosing, categorizing, and predicting students' misconceptions in science. The findings of this review study indicate that student misconceptions are a persistent barrier to learning, and conventional (manual, paper-based) diagnostic methods have proven inefficient and subjective for crowded classrooms. This validates the urgent need for technological solutions.
EDUKASI PEMANFAATAN KECERDASAN BUATAN (AI) YANG BERTANGGUNG JAWAB DALAM MENDUKUNG KUALITAS PEMBELAJARAN Hutasuhut, Pasya Fahira; Dobberd, Stevany Veronica; Ningrum, Dwi Sekar; Florencia, Joice; Aprianto, Miko Dwi; Wijaya, Rian Farta
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 03 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v4i03.336

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed learning processes by providing fast access to information, personalized learning support, and assistance in completing academic tasks. However, the improper and excessive use of AI may lead to overdependence, reduced critical thinking skills, and ethical issues in academic practices. This community service activity aims to enhance the literacy and awareness of students and educators regarding the responsible use of AI to support learning quality. The implementation methods include socialization sessions, training workshops, interactive discussions, and hands-on assistance in utilizing AI as an ethical and proportional learning support tool. The program materials cover fundamental AI concepts, opportunities and risks of AI usage in education, academic integrity, and strategies for using AI to improve learning outcomes without diminishing learner autonomy. The results indicate a significant improvement in participants’ understanding of the appropriate functions and limitations of AI in the learning process, as well as the development of more critical and responsible attitudes toward the use of AI. This activity is expected to contribute to the creation of a healthy, ethical, and sustainable digital learning ecosystem in the era of technology-driven educational transformation.
Sistem Pendukung Keputusan Penentuan Calon Ketua OSIS pada SMK Swasta Dwitunggal 2 Menggunakan Metode Simple Additive Weighting Zai, Yulianus; Syahputra, Irwan; Azhari, M. Idrus; Audry, Beby; Tumangger, Oktavia; Wijaya, Rian Farta; Sitorus, Zulham
Jurnal Media Informatika Vol. 7 No. 1 (2026): Edisi Januari - Februari IN PROGRESS
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v7i1.7940

Abstract

Pemilihan ketua OSIS merupakan kegiatan penting dalam lingkup sekolah karena menentukan arah kepemimpinan organisasi siswa. Pada SMK Swasta Dwitunggal 2, proses pemilihan selama ini masih dilakukan secara manual dan subjektif sehingga hasil yang diperoleh kurang akurat serta rentan terhadap bias. Penelitian ini bertujuan mengembangkan sebuah Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) untuk menentukan calon ketua OSIS secara objektif berdasarkan beberapa kriteria, yaitu nilai raport, kedisiplinan, kepemimpinan, keaktifan organisasi, komunikasi, prestasi akademik, dan tanggung jawab. Metode SAW digunakan karena mampu memberikan perangkingan alternatif berdasarkan bobot dan nilai kriteria secara sistematis. Metode penelitian dilakukan dengan observasi, studi literatur, dan wawancara yang dilakukan kepada kepala sekolah. Penelitian dilakukan melalui tahapan pengumpulan data, analisis kebutuhan, perancangan metode SAW, normalisasi, pembobotan, dan perhitungan nilai preferensi. Hasil penelitian menunjukkan bahwa kandidat terbaik berdasarkan nilai preferensi tertinggi adalah Nurul Alya Azizah dengan nilai 0.960, disusul oleh Syahfira Amellia Dachi dengan nilai 0.900. Temuan ini menunjukkan bahwa metode SAW mampu memberikan hasil yang objektif dan konsisten sesuai bobot kriteria yang telah ditentukan. Sistem yang dibangun dapat membantu pihak sekolah dalam mengambil keputusan secara lebih adil, transparan, dan terukur.
Analisis Sentimen Publik Berbasis KNN Terhadap Kinerja Purbaya dan Sri Mulyani Selama Sebulan anshari, ari; Diva, Krisna; Azwan, M; Nainggolan, Irfan; Wijaya, Rian Farta; Sitorus, Zulham
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1461

Abstract

Masyarakat selalu khawatir tentang perubahan staf Menteri Keuangan karena mereka memainkan peran penting dalam menjaga stabilitas ekonomi negara. Purbaya Yudhi Sadewa menggantikan Sri Mulyani sebagai Menteri Keuangan dalam Kabinet Merah Putih. Karena mungkin mengungkapkan tingkat penerimaan publik dan kepercayaan terhadap kebijakan yang akan diterapkan, persepsi publik selama bulan pertama menjabat sangat penting. Studi ini menggunakan algoritma K-Nearest Neighbor (KNN) untuk menguji sentimen publik terhadap pemikiran di platform media sosial X selama bulan pertama masa jabatan kedua kedua tokoh tersebut. Dataset ini mencakup 2.071 cuitan dari Sri Mulyani (21 Oktober–20 November 2024) dan 2.960 cuitan dari Purbaya Yudhi Sadewa (8 September–7 Oktober 2025). Setelah praproses dan pelabelan data dengan IndoBERT, distribusi sentimen untuk Purbaya adalah 57,80% positif dan 42,20% negatif, sedangkan untuk Sri Mulyani adalah 46,74% positif dan 53,26% negatif. TF-IDF kemudian akan digunakan untuk ekstraksi fitur, sementara KNN dengan K=5 dan metrik jarak kesamaan kosinus akan digunakan untuk klasifikasi. Menurut hasil evaluasi, model KNN Sri Mulyani memiliki akurasi 77% dengan presisi 78%, recall 77%, dan skor F1 77%, sedangkan model KNN Purbaya memiliki akurasi 80% dengan presisi 80%, recall 78%, dan skor F1 79%.
Co-Authors Aldi Alvin Andi Ernawati Anshari, Ari Aprianto, Miko Dwi Ardya, Dwika As'ary, Muhammad Hasyim Audry, Beby Aulia, Ananda Azhari, M. Idrus azwan, m Batubara, Supina Darmeli Nasution Deski Helsa Pane Dhany, Hanna Willa Diva, Krisna Dobberd, Stevany Veronica Dwi Anggraini Edi, Firman Eka Putra Eko Budianto EKO WAHYUDI Erika, Winda Fahmi Kurniawan Florencia, Joice Handayani, Sri Harahap, Aziddin Harahap, Sutan Putra Nauli Hardinata, Rio Septian Helmy, Ahmad Hermansyah Hermansyah Hrp, Abdul Chaidir Hutasuhut, Pasya Fahira Ibnutama, Khairi Irwan Syahputra Irwan Syahputra, Irwan Iswan, Mochammad Iwan Purnama Iwan Purnama Jabar, Ami Abdul Joefitra Zaqy, Muhammad Khairul Khairul , Khairul Khairul Khairul, Khairul Lubis, Darma Putra M. Syaifuddin, M. Malau, Sebastian Veron Marsya, Alviona Mentari, Siti Mhd Gilang Suryanata Muhammad Syahputra Novelan Muhammad Wahyudi Nainggolan, Irfan Nasution, Adhaini zahra Ningrum, Dwi Sekar Pratama, Wiko Pratiwi, Daratika Putra, Agil Dwi Putra, Randi Rian Rahayu Mayang Sari, Rahayu Mayang Ramadhani, Aldy Rio Septian Hardinata Robi Krisna Rudi Hermawan Saputra, Risfan Nazar Saragih, Juliyandri Septian, Muhammad Sigalingging, Deka S. N. Sinaga, Santi Anggryani Siregar, Andree Risky Yuliansyah Siregar, Andree Rizky Yuliansyah Sitepu, Andri Ismail Sitorus, Zulham Sofyan, Siti Nurhaliza Sri Wahyuni Sugeng Santoso Suhardiansyah Sukrianto, Sukrianto Sutiono, Sulis Syahputra, Zulfahmi Syamsiar, Syamsiar Tanjung, Miftah Rusydi Tasril, Virdyra Tumangger, Oktavia Utami, Rahayu Dwi Utomo, Rahmad Budi Zai, Yulianus Zalukhu, Anzas Ibezato Zulfahmi Syahputra