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All Journal Jurnal Tekno Kompak Journal of Multidisciplinary Science: MIKAILALSYS
Sri Marliani
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Environmental Science Physics Social Sciences Other

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Analisis Perbandingan Algoritma Apriori dan AHP Pada Makan Cepat Saji Sri Marliani; Muhammad Kasrun; Riska Anita Rahayu; Rismayani Rismayani
Jurnal Tekno Kompak Vol 17, No 2 (2023): Agustus
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v17i1.2047

Abstract

Transaksi terjadi tiap hari, minggu, bulan, dan tahun. Agar dapat lebih mudah ditemukan produk mana yang memiliki penjualan tertinggi, dibandingkan produk-produk lainnya. Dengan penggunaan algoritma apriori dapat membantu menganalis data tersebut. Salah satu fase analisis relevan yang menarik perhatian banyak peneliti untuk membuat algoritma yang efisien adalah penambangan pola frekuensi tinggi. Dua kriteria: dukungan dan kepercayaan. (skor dukungan) adalah persentase kombinasi item ini dalam database, dan keandalan (skor keamanan) adalah kekuatan hubungan antara item dalam ketentuan asosiasi. Sedangkan penggunaan algoritma ahp, pada dasarnya terdiri dari opsi terbaik. Penataan masalah, mengidenfikasi alternatif, mengidenfikasi kemungkinan nilai untuk variable oposis, menetapkan nilai, persyaratan waktu, dan menetukan resiko. Tidak peduli seberapa luas rentang alternatif yang dapat diidentifikasi atau evaluasi terperinci dari nilai-nilai yang mungkin, Batasan yang mengililinginya ini adalah dasar untuk perbandingan dalam bentuk standar tunggal.
A Problem-Based Biology E-Module Integrating Riau Local Medicinal Plants for Respiratory System Learning Sri Marliani; Sepita Ferazona; Suryanti; Ummi Kalsum
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 3 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i3.11751

Abstract

The limited diversity of biology teaching materials and the insufficient integration of Riau’s local knowledge of medicinal plants into classroom instruction underscore the need for contextually relevant learning resources. This study aimed to develop a Problem-Based Learning (PBL)-based biology e-module integrating Riau medicinal plants into the respiratory system topic for Grade XI SMA/MA students and to assess its validity and student responses. The study employed a Research and Development design based on the ADDIE model, limited to the Analyze, Design, and Development stages. Product trials involved Grade XI students from SMAN 11 Pekanbaru and SMAN 3 Siak Hulu. Data were collected through interviews, needs-analysis questionnaires, expert validation sheets, and student response questionnaires. The e-module was evaluated by subject-matter, media, and instructional experts, and the resulting qualitative and quantitative data were analyzed descriptively. The e-module met the highly valid criterion, receiving validation scores of 94% from subject-matter experts, 96% from media experts, and 92% from instructional experts. Students also responded positively, with an average score of 92%, categorized as excellent. These findings indicate that the developed e-module offers a valid and well-received alternative biology teaching resource that is contextual, engaging, and student-centered. By connecting respiratory system concepts with community knowledge of Riau medicinal plants, the e-module contributes a locally grounded approach to integrating regional wisdom into PBL-based biology instruction. Keywords: Biology E-Module; Local Medicinal Plants; Problem-Based Learning; Respiratory System; Riau Local Wisdom
Co-Authors Muhammad Kasrun Riska Anita Rahayu Rismayani Rismayani Sepita Ferazona SURYANTI Ummi Kalsum