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All Journal Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) JURNAL MEDIA INFORMATIKA BUDIDARMA RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Pendas : Jurnah Ilmiah Pendidikan Dasar J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Tunas Nusantara JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Social Responsibility Projects by Higher Education Forum J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat IPTEK Jurnal Hukum Sehasen COMMENT: Journal of Community Empowerment Jurnal Pengabdian Masyarakat Inovasi Prosiding University Research Colloquium Journal of Computing and Informatics Research Ranah Research : Journal of Multidisciplinary Research and Development JPNM : Jurnal Pustaka Nusantara Multidisiplin Journal of Informatics, Electrical and Electronics Engineering Jurnal Riset Ilmu Teknik JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Konsensus: Jurnal Ilmu Pertahanan, Hukum dan Ilmu Komunikasi ORAHUA : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Multidisiplin Journal Pesona Indonesia Jurnal Cendekia Ilmiah Jurnal Pengabdian Kader Bangsa Journal of Decision Support System Research
Imam Saputra
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Peningkatan Kompetensi Guru dalam Pemanfaatan Teknologi Kecerdasan Buatan sebagai Penunjang Media Pembelajaran di Sekolah Alam Saputra, Imam; Wardayani, Wardayani; Sari, Dian Purnama; Supriyanto, Supriyanto; Hidayat, Rahmat
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2920

Abstract

The rapid development of Artificial Intelligence (AI) technology requires educators to possess adaptive digital literacy to enhance the quality of learning. This international community service project aims to improve the competence of teachers at Sekolah Alam Istana Hati Binjai in utilizing AI technology as a supporting instrument for learning media. The initiative was spearheaded by the ADA Research Center through strategic collaboration with Universiti Utara Malaysia (UUM), the Indonesian Institute of Technology and Business, and various other supporting higher education institutions. The method employed was Collaborative Community Engagement, featuring intensive workshops and personalized hands-on mentoring for 16 teachers across elementary, junior high, and senior high school levels. The training focused on understanding AI ethics, prompt engineering, and the creation of automated visual learning media. The results demonstrated a significant increase in the participants' digital literacy, with the average evaluation score rising from 48.5 to 86.0. All participants (100%) successfully produced digital learning media relevant to the nature school curriculum. The discussion in this article highlights that cross-country collaboration provides global motivation for local educators to adopt technology without abandoning environment-based educational philosophies. It is concluded that strengthening AI literacy for teachers is a crucial step in minimizing the digital divide and improving the efficiency of educational administration at the nature school level
Peningkatan Kreativitas Siswa SMK Melalui Pengenalan Dasar Digital Marketing Berbasis AI Siregar, Dodi; Rahayu, Sri; Saputra, Imam; Sari, Dian Purnama; Sari, Vina Winda
Jurnal Pengabdian Masyarakat Inovasi Vol. 5 No. 1 (2026): February 2026
Publisher : Sekolah Tinggi Ilmu Manajemen Sukma Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35126/jpmi.v5i1.1000

Abstract

This community service program aimed to enhance the creativity of vocational high school students through the introduction of basic artificial intelligence (AI)-based digital marketing. The implementation method included literature review, partner needs assessment, and hands-on training involving 20 participants. The results revealed a significant improvement in participants’ understanding, where initially 80% were categorized as low, but after the training, 60% were categorized as good. Satisfaction responses also indicated that most participants felt satisfied or highly satisfied with the materials and delivery methods. This program demonstrates that introducing AI-based digital marketing can serve as an effective approach to foster 21st-century skills among vocational school students. However, the limitation of this activity lies in its short duration, which restricted the coverage of advanced materials, yet it provides a strong foundation for future community service initiatives.
Sentiment Analysis of Tokopedia Customer Reviews using IndoBERT and SMOTE for Class Imbalance Handling Saputra, Imam; Mesran, Mesran; Ginting, Guidio Leonarde
Journal of Computer System and Informatics (JoSYC) Vol 7 No 1 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v7i1.8748

Abstract

Sentiment analysis in the Indonesian e-commerce sector faces significant challenges due to the informal nature of language and severe class imbalance, where neutral reviews are often underrepresented. This research proposes a hybrid framework combining the deep semantic capabilities of IndoBERT with the Synthetic Minority Over-sampling Technique (SMOTE) to improve classification fairness. Using a dataset of Tokopedia customer reviews, this study compares a baseline model against a balanced model using SMOTE on 768-dimensional IndoBERT features. The experimental results reveal that while the baseline model achieved a high overall accuracy of 83%, it suffered from an "accuracy paradox," exhibiting a dismal recall of only 0.07 for the neutral class. Upon implementing SMOTE, the neutral class recall surged to 0.29, marking a significant 314% improvement in minority class detection. Although overall accuracy slightly decreased to 81%, the Macro Average F1-Score increased from 0.61 to 0.65, proving that the model is more robust and objectively reliable across all sentiment polarities. This study demonstrates that sacrificing marginal accuracy for improved minority sensitivity is vital for providing accurate business intelligence in the digital marketplace. These findings provide a robust roadmap for developing more equitable automated sentiment analysis systems in Indonesia.
Legal Protection For Children As Victims Of Domestic Violence (Women And Children Protection Unit, Medan City Police) Saputra, Imam; Siregar, Abdul Rahman Maulana; Ramadani, Suci
JURNAL HUKUM SEHASEN Vol 12 No 1 (2026): April
Publisher : Fakultas Hukum Dehasen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jhs.v12i1.11286

Abstract

This research aims to identify the factors that cause domestic violence against children and to analyze the role of the Unit for the Protection of Women and Children (PPA) of the Medan Police in providing legal protection for child victims. The study uses an empirical legal research method with a juridical approach. Data were obtained through interviews with officers from the Unit for the Protection of Women and Children (PPA) of the Medan Police and literature studies on relevant laws, books, and journals. The results show that domestic violence against children is caused by various interrelated factors, including economic hardship, low educational levels, patriarchal culture, psychological pressure, substance abuse, and disharmonious family relationships. The Unit for the Protection of Women and Children (PPA) of the Medan Police plays three main roles: preventive efforts through public legal education, repressive efforts through law enforcement against perpetrators, and rehabilitative efforts through psychological and social recovery for victims. However, the implementation of legal protection for child victims is not yet optimal due to limited human resources, insufficient facilities, and weak inter-agency coordination. Strengthening institutional cooperation and public legal awareness is essential to achieve effective and sustainable protection for children who are victims of domestic violence.
Sistem Informasi Point of Sale (POS) Berbasis Web pada Ratu Caffe Dengan Fitur Manajemen Inventaris Menggunakan Metode Economic Order Quantity (EOQ) Syahfitri, Ika; Saputra, Imam
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 3 No. 4 (2026): April
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v3i4.247

Abstract

Penelitian ini bertujuan merancang dan membangun Sistem Informasi Point of Sale berbasis web yang terintegrasi dengan manajemen inventaris menggunakan metode Economic Order Quantity pada Ratu Caffe. Permasalahan utama yang dihadapi adalah proses pencatatan transaksi dan pengelolaan stok yang masih dilakukan secara manual, sehingga berpotensi menimbulkan kesalahan pencatatan serta ketidaktepatan dalam pengendalian persediaan bahan baku. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik pengumpulan data melalui observasi dan studi literatur. Sistem dirancang menggunakan model perancangan terstruktur yang meliputi use case diagram, activity diagram, dan data flow diagram. Hasil penelitian menunjukkan bahwa sistem yang dibangun berhasil mengintegrasikan proses transaksi penjualan dengan pengelolaan stok secara real-time. Penerapan metode Economic Order Quantity mampu menentukan jumlah pemesanan bahan baku yang optimal serta titik pemesanan kembali sehingga risiko kelebihan maupun kekurangan stok dapat diminimalkan. Hasil pengujian aplikasi menunjukkan bahwa fitur login, transaksi penjualan, dan pengelolaan persediaan dapat berjalan sesuai kebutuhan operasional pengguna. Sistem ini meningkatkan efisiensi kerja, akurasi data, kemudahan pemantauan stok, serta mendukung pengambilan keputusan yang lebih cepat dan tepat bagi pengelolaan operasional Ratu Caffe. Selain itu sistem membantu pemilik merencanakan pembelian bahan baku secara lebih terukur dan mengurangi potensi kerugian akibat kesalahan pencatatan dalam aktivitas usaha sehari-hari yang berlangsung secara berkelanjutan dan adaptif.
Analisis Kepuasan Pengguna Aplikasi BRI-mo Menggunakan Metode End- User Computing Satisfaction Lase, Kristina; Saputra, Imam
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 3 No. 4 (2026): April
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v3i4.248

Abstract

Penggunaan aplikasi BRImo yang semakin tinggi belum selalu menunjukkan bahwa pengguna merasa puas terhadap layanan yang diberikan. Dalam praktiknya, masih ada pengguna yang mengalami kendala, seperti gangguan sistem, kesulitan mengakses aplikasi, serta tampilan menu yang belum sepenuhnya mudah dipahami. Penelitian ini bertujuan untuk mengetahui tingkat kepuasan mahasiswa di Kota Medan dalam menggunakan aplikasi BRImo dengan metode End-User Computing Satisfaction (EUCS). Metode penelitian yang digunakan adalah kuantitatif dengan jumlah responden sebanyak 100 mahasiswa yang dipilih melalui teknik purposive sampling. Data dikumpulkan menggunakan kuesioner dan diolah dengan bantuan SPSS melalui analisis deskriptif serta regresi linear berganda. Hasil penelitian menunjukkan bahwa kepuasan pengguna berada pada kategori tinggi dengan nilai rata-rata 4,326. Variabel accuracy dengan rata-rata 4,303, format 4,330, dan timeliness 4,310 berpengaruh signifikan terhadap kepuasan pengguna. Sementara itu, content dengan rata-rata 4,367 dan ease of use 4,430 tidak berpengaruh signifikan. Variabel format menjadi faktor yang paling dominan. Kata Kunci: BRImo, Kepuasan Pengguna, EUCS, Mobile Banking
Analisis Sentimen Masyarakat Terhadap Pembatasan Akses Media Sosial Bagi Anak Pada Platform YouTube Menggunakan Metode Support Vector Machine (SVM) sartika, indah; Saputra, Imam
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 3 No. 4 (2026): April
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v3i4.251

Abstract

Isu pembatasan akses media sosial bagi anak menimbulkan berbagai respons masyarakat di YouTube. Namun, kecenderungan sentimen masyarakat terhadap isu tersebut belum diketahui secara jelas karena komentar yang muncul memiliki bentuk opini yang beragam dan tidak terstruktur. Penelitian ini dilakukan untuk menganalisis sentimen masyarakat dengan menerapkan metode Support Vector Machine (SVM). Data yang digunakan berupa 1000 komentar YouTube yang dikumpulkan melalui teknik scraping. Data kemudian diproses melalui tahap preprocessing, pembobotan TF-IDF, dan oversampling untuk menyeimbangkan kelas sentimen. Hasil penelitian menunjukkan bahwa sentimen negatif menjadi yang paling dominan, yaitu 581 komentar atau 58,1%, diikuti sentimen netral sebanyak 229 komentar atau 22,9%, dan sentimen positif sebanyak 190 komentar atau 19,0%. Pengujian menunjukkan SVM memperoleh akurasi 0,81 serta cukup mampu mengenali sentimen positif dan netral, meskipun masih kesulitan membedakan komentar negatif dan netral.
Penyuluhan Inovatif tentang Penggunaan dan Waktu Konsumsi Obat: Pengabdian Masyarakat di Desa Kamal, Sumatera Selatan Mauritz Pandapotan Marpaung; Berkah Mutiara; Putri Picaso Azury Sheva; Dendi Bianda Saputra; Imam Saputra; Shely Junian Permata; Sania Kolopaking; Dian Oktarina; Marsya Reskiani Lole; Martina Vevi Yanti; Amelia Ramadhani; Muhammad Afriansyah; Suparwatini Suparwatini; Juwita Indah Sari; Ira Sagita; Mariansari Mariansari
JURNAL PENGABDIAN KADER BANGSA Vol 1 No 2 (2025): Jurnal Pengabdian Kader Bangsa
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Kader Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54816/jpkb.v1i2.939

Abstract

Proper drug use, especially regarding the timing of consumption, is an important aspect of rational and effective therapy. Unfortunately, the rural community's understanding of the right time to take medicine is still low, which can affect the success of treatment. This community service activity was carried out in Kamal Village, Ogan Ilir Regency, South Sumatra, with the aim of increasing the knowledge and awareness of the community regarding the correct timing of drug consumption. The methods used in this activity include direct counseling through educational lectures, simulations, leaflet distribution, and interactive discussions with residents and village health cadres. Evaluation was conducted using a simple pre-test and post-test to assess the improvement of participants' knowledge. The evaluation results showed a significant increase in understanding, from an average pre-test score of 64% to 92% in the post-test. In addition to increasing understanding, this activity also succeeded in raising community awareness to be more critical and active in asking health workers about the timing of drug consumption. The advantages of this activity are its participatory and community-based approach, although there are obstacles such as limited visual aids and uneven accessibility of participants. Overall, this counseling was effective in improving health literacy related to drug use in the village community.
Co-Authors A.A. Ketut Agung Cahyawan W A.N. Afandi Abdul Karim Adiguna, Satria Agung Dwi Pradana Aguswinaya, Agung Rake Ahmad Tamrin Sikumbang Al-Adawiyah, Robiah Alfarisi Pasaribu, Ahmad Amalia, Dira Amelia Ramadhani Annisa Fadillah Siregar Anugrah, Elfira Aripriharta - Ariska, Melinda Aritonang, Reza Sri Rezeki Aryadito, Rehan Astuti - Ayulia Sari Azlan Azlan, Azlan Bagaskoro, Muhammad Cahyo Berkah Mutiara Bilal Abdul Aziz Darma Taksiah Sihombing, Darma Taksiah Dendi Bianda Saputra Dian Oktarina Dian Purnamasari Dina Octavia Dito Putro Utomo Dodi Siregar Erna Verawati Fadlina Fahrezi, Azrial Fince Tinus Waruwu Ginting, Suranta Bill Fatric Gokma Lumbantoruan Guidio Leonarde Ginting Guidio Leonarde Ginting Gultom, Istanto Hardianti, Putri Delfi Harianja, Chindy Lorenza Hery Sunandar Hetty Rohayani Hondro, Piter Saputra Indra Williamsyah Sinaga Ira Sagita Jariah, Nur Ainun Juwita Indah Sari Lase, Kristina Lemcia Hutajulu Lubis, Adi Mora M. Fazriansyah Maimunah, M Mariansari Mariansari Marliana Marliana, Marliana Marselino Clifer Tuju Marsya Reskiani Lole Martina Vevi Yanti Matondang, Firman MAURITZ PANDAPOTAN MARPAUNG Mesran, Mesran Muhammad Afnan Habibi Muhammad Afriansyah Muhammad Resa Arif Yudianto Muhammad Rizkan Abdul Aziz Muhammad Syahrizal Muhammad, Mahatir Nasib Marbun Nastiti, Sindy Ndruru, Eferoni Nelly Astuti Hasibuan Nur Afifah Siregar, Rizka Nur Syifa’ul Alyah Panggabean, Riski Melisa Pohan, Ferdi Putri Picaso Azury Sheva Putri Ramadhani, Putri Rahmat Hidayat Rahmawaty Rahmawaty Rahmawaty Raimah Handayani Harahap Ramadani, Suci Ranmadina Ratu Syahada Rasyid, Irfan Razita Sabrina Irdani Ritonga, Fitri Aisyah Rivalri Kristianto Hondro Robbi Rahim Robinson Siagian, Edward Rohmat Indra Borman Sahrul Saputra Saidi Ramadan Siregar Sania Kolopaking Saputra, Febrian Eko Sari, Sri Indah Sartika, Indah Setiawan, Aditya Wahyu Shely Junian Permata Shiwi Angelica Cindiyasari Simanullang, Putri M Simanungkalit, Lidya Indah Pratama Sinurat, Sinar Siregar, Abdul Rahman Maulana SRI RAHAYU Suginam Sultan Rexy Adji Suparwatini Suparwatini Surya Darma Nasution Suryanegara, Raden Kartika Satya Sussolaikah, Kelik Syafruddin Syafruddin Syahfitri, Ika Tamaulina Br.Sembiring Tanjung, Dewi Maulida Sari Taronisokhi Zebua Tatang Permana, Tatang Tua, Rahmat Utami, Nur Indah Vina Winda Sari Wardayani Wardayani, Wardayani Yusufa, Ilham Zainun, Zainun