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All Journal EQUILIBIRIA Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer 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 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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Implementasi Metode Analitycal Hierarchy Process dan Multi-Objective Optimization by Ratio Analysis Untuk Rekomendasi Laptop Darwin, Ricalvin; Irwan, Irwan; Desnelita, Yenny; Siddik, Muhammad; Gustientiedina, Gustientiedina
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.746

Abstract

Laptops have become essential in the world of work, education, and society. With a laptop, tasks such as creating reports, sending data, learning, and even entertainment become easier. However, the variety of laptops available with different specifications can confuse people when choosing one that suits their profession and status. This confusion often leads to wasted time and the risk of choosing a laptop that does not meet their needs. Therefore, a decision support system (DSS) is needed to provide laptop recommendations based on desired criteria. In this study, the method used is a collaboration of Analytical Hierarchy Process (AHP) and Multi-Objective Optimization By Ratio Analysis (MOORA). AHP is used to calculate the weight of laptop criteria according to desired criteria, while MOORA is used to rank the recommended laptop values suitable for use. The implementation of the AHP and MOORA methods in this study resulted in laptop recommendations that meet the desired criteria and specifications of the community. Based on manual calculations in this study, the top-ranked laptop recommendation is alternative A8, the HP Victus Gaming Laptop 15 with a Yi of 0.424, followed by alternative A2, the HP Pavilion Gaming 15 with a Yi of 0.382. This study is considered successful because the results of manual calculations and those of the system built are consistent. Thus, the implementation of AHP and MOORA methods in a web-based system can be used for laptop recommendations.
Sistem Pakar Diagnosa Penyakit Busuk Kuncup Pada Tanaman Sawit Menggunakan Trend Moment Siddik, Muhammad; Abdullah, Iqbal; Samsir, Samsir; Sirait, Azrai
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 3 (2025): Oktober 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.3.2025.408-420

Abstract

Bud rot disease in oil palm is one of the most serious threats that can significantly reduce productivity and even cause plant death if not detected early. To support a faster and more accurate diagnosis process, this study developed a web-based expert system that applies the Trend Moment method. The system is built on a knowledge base containing the main symptoms of the disease, including wilted and rotting young leaves (G001), foul odor from the bud (G002), easily detached young leaves due to decay (G003), and rotting crown with brown mucus (G004). The system is able to identify three types of diseases, namely bud rot, Phytophthora palmivora, and Erwinia spp.. The diagnosis process is carried out by calculating the weight of symptoms selected by the user and determining the most probable disease based on the highest Trend Moment value. Experimental results on 20 test cases showed that the system achieved an accuracy rate of 100% when compared with expert diagnoses. These findings indicate that the developed expert system has strong potential to be an effective tool for farmers and field extension workers in detecting and managing oil palm diseases at an early stage.
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%.
Co-Authors Abdullah, Iqbal Ade Sarmini Aini, Putri Nur 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 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