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All Journal EQUILIBIRIA Jurnal Infomedia JURNAL PENDIDIKAN TAMBUSAI JOISIE (Journal Of Information Systems And Informatics Engineering) BENING Hikmah Bulletin of Computer Science Research ALACRITY : Journal Of Education INVENTION: Journal Research and Education Studies Pedagogy : Jurnal Pendidikan Matematika Jurnal Sistem Informasi dan Teknik Informasi Homeostasis: Jurnal Mahasiswa Pendidikan Dokter Journal of Applied Business and Technology Jurnal Pepadu Prosiding Seminar Nasional PPG Universitas Mulawarman Power Elektronik : Jurnal Orang Elektro Jurnal Testing dan Implementasi Sistem Informasi CSRID
Siddik, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Application of the Forward Chaining Method in Diagnosing Tomato Fever Edi Susanto; Gustientiedina, Gustientiedina; Siddik, Muhammad
Journal of Applied Business and Technology Vol. 5 No. 1 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i1.143

Abstract

Health is a factor that always needs to be taken care of by each personal. Some things you can do to stay healthy are eating nutritious foods, exercising, taking care of the environment, etc. However, a person can experience health problems due to communicable diseases and non-communicable diseases. A communicable disease is a disease that can be transmitted from one person to another, directly or indirectly. One of the infectious diseases discussed some time ago in India was tomato flu. Tomato flu is an illness that results from a red rash and blisters that look like tomatoes caused by the flu. This disease is contagious in children under five years old. Tomato flu has some symptoms that are common with other infectious diseases, so people can be infected with other infectious diseases. The role of experts is necessary, but the number of experts cannot be compared with the number of victims. Therefore, an expert system is needed to diagnose these infectious diseases by the method of Forward Chaining. This method was chosen because it can diagnose infectious diseases based on a set of established data. Expert system testing is done using Black Box Testing, where each tested item generates a succesfull state.
ANALISIS MODEL PBL (PROBLEM BASED LEARNING) DALAM MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA DI KELAS IX SMPN 27 MEDAN Siddik, Muhammad; Asy-Syifa, Nabila; Ginting, Noventa
Pedagogy: Jurnal Pendidikan Matematika Vol. 10 No. 4 (2025): Pedagogy : Jurnal Pendidikan Matematika
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/pedagogy.v10i4.7231

Abstract

Penelitian ini bertujuan menganalisis penerapan model pembelajaran Problem Based Learning (PBL) dan mengidentifikasi jenis-jenis kesalahan siswa kelas IX SMP Negeri 27 Medan dalam memecahkan masalah matematis, khususnya pada materi aritmetika sosial, menggunakan Newman's Error Analysis (NEA). Model PBL dipilih karena fokusnya pada pemecahan masalah nyata untuk meningkatkan keterampilan berpikir kritis dan kolaborasi siswa. Didalam penelitian ini menggunakan metodologi deskriptif kualitatif, dengan subjek 30 siswa kelas IX-2 tahun ajaran 2025/2026, dan lima siswa dengan kesalahan terbanyak dipilih sebagai partisipan wawancara mendalam. Data diperoleh melalui observasi terbuka, tes diagnostik soal cerita, dan wawancara mendalam. Analisis data menggunakan tahapan reduksi data, penarikan kesimpulan, dan penyajian data model Miles dan Huberman. Hasil analisis NEA menunjukkan bahwa kesalahan yang paling dominan dilakukan siswa adalah Kesalahan Memahami (Comprehension Error) sebesar 25%. Hal ini diikuti oleh Kesalahan Membaca (Reading Error) sebesar 21,7%, Kesalahan Menulis Jawaban Akhir (Encoding Error) sebesar 20%, Kesalahan Keterampilan Proses (Process Skill Error) sebesar 18,3%, dan Kesalahan Transformasi (Transformation Error) sebesar 15%.
HAND POSE CLASSIFICATION USING MEDIAPIPE HANDS AND CNN-LSTM FOR AUGMENTED REALITY BASED INTRAVENOUS INFUSION LEARNING Desnelita, Yenny; Siddik, Muhammad; Lita, Lita; Hajjah, Alyauma; Gustientiedina, Gustientiedina
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 2 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i2.2343

Abstract

Intravenous infusion training requires precise hand positioning and coordinated movements; however, conventional training approaches remain subjective and lack consistent real-time feedback. Moreover, existing augmented reality (AR)-based systems are largely limited to visualization and do not provide intelligent, automated skill evaluation. To address this gap, this study proposes an integrated hand pose classification framework that combines MediaPipe-based landmark extraction, CNN-LSTM spatio-temporal modeling, and AR-based feedback for real-time procedural learning. The novelty of this work lies in the seamless integration of lightweight feature representation, hybrid deep learning, and interactive AR feedback within a unified learning system. Experimental results demonstrate that the proposed approach achieves high classification performance, with an accuracy of 94.82% and an AUC of approximately 0.97, indicating strong discriminative capability. The system also operates in real time with low latency, enabling immediate feedback and adaptive learning. This study contributes theoretically to spatio-temporal gesture modeling and practically to the development of intelligent AR-based training systems. The proposed framework offers a scalable and objective solution for improving procedural accuracy, consistency, and accessibility in medical education.
Co-Authors Abdullah, Iqbal Ade Sarmini Aini, Putri Nur Alyauma Hajjah Annisa Fitri, Annisa Arsyiana, Fathia Asnawati Asnawati Asy-Syifa, Nabila Azrai Sirait Beni Satria Darwin, Ricalvin Deny Jollyta Desnelita, Yenny Dona Marisa, Dona Edi Susanto Fakhrurrazy Fakhrurrazy Fauzi, Muhammad Amin Ginting, Noventa Gusrianty, Gusrianty Gustientiedina Haikal, Muhammad Fachran Hamdani . Hasna, Usratul Hayati Hayati Hayati, Azka Husna Dharma Putera, Husna Dharma Irwan Irwan Jessfry, Vincent Johan Johan Lita, Lita Luthfiyyah, Rifaa Muzaki Fhardana, Rifqi Ni Made Wirastika Sari, Ni Made Wirastika Pambudi, Zanuba Tarieq Ridho Pardosi, Yesika TS Petrus Fendiyanto Pitaloka Oktaviani, Ananda Prihandoko Prihandoko Putri, Aulia Aurora Raflia Ramadan, Yoga Aditya Noor Raudhatul Jannah Rini Elfina Risani, Cindy Rizka. S, Nazwa Rizky Firmansyah Romi, Hutri Agus Sabila, Siti Zahra Samsir Samsir, Samsir Sandaga, Putri Noor Sanyoto, Didik Dwi Sari, Nanda Haliza Silitonga, Asni Siregar, Sutan Surya Darpan Sri Setiani, Siwi Sudjatmiko, Dwi Praptomo Suhariah, Suhariah Suharsih, Suharsih Sulistiyani, Fani Suwanto Suwanto tanjung, rona Tiur Malasari Siregar, Tiur Malasari Trisnawati Hutagalung Wahyuni, Shinta Tri Yanuartati, Baiq Yulfia Elsadewi Yuliatin Zairin Noor Zega, Nurhamidah