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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JSI (Jurnal sistem Informasi) Universitas Suryadarma MANAGERIA: Jurnal Manajemen Pendidikan Islam Kasuari: Physics Education Journal (KPEJ) Poltekita : Jurnal Ilmu Kesehatan Jurnal Ilmiah Edunomika (JIE) Jurnal Nasional Pengelolaan Energi MigasZoom International Journal of Global Accounting, Management, Education, and Entrepreneurship (IJGAME2) Jurnal Mahasiswa Sistem Informasi (JMSI) Journal of Economy, Accounting and Management Science (JEAMS) Jurnal Informatika dan Komputer (JIK) Jurnal Mahasiswa Ilmu Komputer ELPOSYS: Jurnal Sistem Kelistrikan Journal Of Informatics And Busisnes SENADA : Semangat Nasional Dalam Mengabdi JIAN (Jurnal Ilmiah Administrasi Negara) Jurnal Ilmiah Sistem Informasi Jurnal Penelitian Pembelajaran Fisika Jurnal Inovasi Komputer
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Prediksi Harga kopi Robusta Kabupaten Muara enim Tahun 2025 Menggunakan Metode Random Forest, Svm dan Tree Yunita; Pujianto
Jurnal Inovasi Komputer Vol 2 No 1 (2026): Jurnal Inovasi Komputer (INOKOM)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/qgmea904

Abstract

Penelitian ini bertujuan untuk memprediksi harga kopi robusta di Kabupaten Muara Enim pada tahun 2025 dengan menggunakan pendekatan data mining berbasis algoritma Random Forest, Support Vector Machine (SVM), dan Decision Tree. Harga kopi sebagai salah satu komoditas unggulan Indonesia mengalami fluktuasi yang signifikan sehingga dibutuhkan metode prediktif yang akurat guna membantu petani, pengusaha, dan pemangku kebijakan dalam menentukan strategi pasar. Penelitian dilakukan dengan mengumpulkan data harga kopi dari bulan Januari hingga April 2025 yang diperoleh langsung dari para pengumpul kopi di Muara Enim. Data tersebut diolah menggunakan perangkat lunak Orange Data Mining dan dibagi menjadi data training dan testing. Hasil analisis menunjukkan bahwa ketiga algoritma memiliki tingkat akurasi yang bervariasi, di mana algoritma Random Forest memberikan hasil prediksi paling stabil. Penelitian ini membuktikan bahwa penggunaan teknologi machine learning dapat membantu dalam meramalkan harga komoditas secara efektif
Development of A Multidimensional Assessment Instrument on the Topic of Torque Ananda, Lola; Pujianto; Edi Istiyono
Jurnal Penelitian Pembelajaran Fisika Vol. 16 No. 4 (2025): OCTOBER 2025
Publisher : Program Studi Pendidikan Fisika, Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jp2f.v16i4.2848

Abstract

This research focuses on the development of a multidimensional assessment instrument aimed at evaluating high school students’ learning outcomes in the topic of torque within physics education. The instrument integrates cognitive, affective, and psychomotor domains through a combination of multiple-choice questions for conceptual understanding and Likert-scale questionnaires for assessing students’ interest and communication skills. The development process followed a systematic model consisting of planning, instrument construction, and pilot testing. The trial was conducted with 22 eleventh-grade students from SMAN 1 Dlingo, Bantul, Indonesia, selected via random sampling. Content validity was assessed using Aiken’s V index, while internal consistency reliability was measured using Cronbach’s Alpha with SPSS version 26.0. The results indicated that all items demonstrated high content validity (V > 0.87) and acceptable to excellent reliability coefficients: 0.74 for cognitive, 0.81 for affective, and 0.93 for psychomotor components. These findings affirm that the developed instrument is both valid and reliable, making it suitable for comprehensive evaluation of student learning outcomes in physics. Practically, the instrument enables teachers to diagnose students’ conceptual mastery, motivation, and communication skills in an integrated manner, especially for abstract topics like torque. The novelty of this research lies in its multidomain assessment design tailored to the challenges of physics learning in the Indonesian high school context, supporting differentiated instruction and holistic evaluation aligned with the curriculum.
Strategi Pemberdayaan UMKM Melalui Digitalisasi Keuangan untuk Keberlanjutan Bisnis Ermawati, Yuli; Pujianto; Supeni Purwaningsih, Endah
Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Vol 10 No 5 (2025)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jms.v10i5.30253

Abstract

This study generally aims to explore MSME empowerment strategies through financial digitalization using a descriptive qualitative approach. The specific objectives of this study are to describe MSMEs' perceptions and experiences of financial digitalization, identify supporting and inhibiting factors in financial digitalization in MSMEs, and formulate MSME empowerment strategies through financial digitalization. Data were obtained through in-depth interviews with MSME actors, MSME facilitators or academics, and the Surabaya City Cooperatives, MSMEs, and Trade Office. The results indicate that financial digitalization can be a tool for MSME empowerment if accompanied by intensive mentoring, simplification of accounting technology, multi-stakeholder collaboration, and strengthening digital financial literacy. This study produces a digital-based MSME empowerment model that emphasizes financial behavior transformation and gradual technology adaptation.
Co-Authors Abdul Gani Ade Wulandari Agus Wahyu Triatmo Ahmad Awaludin Saputra Ali Junior Niku Al’basit Alkodri, M. Nang Amelia, Dwi Ananda, Lola Anton Mulyono Azis Arif Hidayat Arthalia Wulandari, Ika Astrie Kusuma Dewi Aziza Egi Firmansyah Bayu Setiaji Bila, Firwinca Danang Prabowo Dedi Irawan Ecsa Triyadi Ramadon Edi Istiyono Eka Ridhawati Ermawati, Yuli Fanny Anggita Febriawan, Rangga Ferdiansyah Firmansyah, Maulana Fitra Mardiana, Fitra Fitra Setiawan, Dimas Hanifah, Rofi Nur Husein, Muhammad Nur Ika Arthalia Wulandari, Ika Arthalia Imroatus Solikhah Isnania, Affini Salsabilla Kemalasari Siregar, Gunayanti Khoirunissa, Meiza Kurniawan, Renadi M. Ammar Albarra M.Rifky Gutawa Maharani, Devinda Putri Median Agus Priadi Muhammad Miftahul Huda Muhammad Zaky Zaim Muhtadi Mujito Musta'ana Mustaqim Sila, Edwar Mustika Nashih, Syahid Ahmad Nopriadi Novita Wulandari Nurkholis, Muhammad Iqbal Ovilia, Zera Pandu Sandy Tara Prabowo, Danang Purnama Sari, Arini Purwaningsih, Endah Supeni Putri suci guntari Rahmat, Taufiq Bayu Nur Ranolat, Susana ReifalindraA.P Renaldi, Chendi RiaImro’atus.S1 Riki Perdana Risnawati Valentina, Risnawati Rizal Muntaha Rojif Mualim Sella Jofilla Sinta, Elni Mefia Suwartiningsih, Suwartiningsih Suyud Widodo, Suyud Utruja, Nur Alifahtul valentina, Mariana febri Vickrie Ardy Yuli Ermawati YUNITA