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All Journal Progresiva : Jurnal Pemikiran dan Pendidikan Islam Indonesian Journal of Islamic Educational Management AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Best Journal (Biology Education, Sains and Technology) AT-Turost: Journal of Islamic Studies PREDIKSI : Jurnal Administrasi dan Kebijakan Nusantara of Engineering (NOE) Jurnal Ilmiah Sultan Agung Journal of Information Systems Management and Digital Business Indonesian Journal of Sustainability
ghufron, ghufron
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IMPLEMENTASI METODE NAIVE BAYES UNTUK KLASIFIKASI RISIKO PENYAKIT HIPERTENSI Zanis, Muhammad Nafid; Ghufron, Ghufron
Nusantara of Engineering (NOE) Vol 8 No 02 (2025): Volume 8 Nomor 2 - 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v8i02.25207

Abstract

Hipertensi merupakan gangguan kesehatan kronis yang ditunjukkan oleh peningkatan tekanan darah dalam arteri dan sering kali tidak disadari oleh penderitanya karena minimnya gejala awal, sehingga disebut sebagai silent killer. Faktor penyebabnya meliputi gaya hidup tidak sehat, seperti stres, obesitas, merokok, konsumsi alkohol, makanan berlemak tinggi, serta faktor usia dan keturunan. Seiring perkembangan teknologi, metode data mining digunakan untuk membantu proses deteksi penyakit, salah satunya melalui teknik klasifikasi. Penelitian ini memanfaatkan algoritma Naïve Bayes untuk mengklasifikasikan tingkat risiko hipertensi. Berdasarkan pengujian terhadap 3.000 data latih dan 751 data uji, diperoleh hasil yang cukup baik yaitu akurasi 87%, presisi 90%, recall 91%, dan F1-score 91%. Hasil yang diperoleh menunjukkan bahwa  penerapan metode Naïve Bayes mampu melakukan klasifikasi dengan performa yang tinggi.
Prediksi Harga Mata Uang Kripto Menggunakan Algoritma Temporal Convolutional Network Aris Munandar; Munandar, Aris; Ghufron, Ghufron
Nusantara of Engineering (NOE) Vol 8 No 02 (2025): Volume 8 Nomor 2 - 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v8i02.25363

Abstract

Cryptocurrency merupakan mata uang digital yang kini menjadi salah satu alternatif investasi dengan pertumbuhan yang sangat pesat. Salah satu tantangan utama dalam investasi cryptocurrency adalah volatilitas harga yang tinggi, sehingga memerlukan pendekatan analitik yang akurat untuk meminimalkan risiko. Ethereum, sebagai salah satu aset kripto paling populer, sering menjadi objek penelitian dalam prediksi harga karena fluktuasinya yang signifikan. Berbagai metode telah digunakan untuk memprediksi harga Cryptocurrency, salah satunya adalah Temporal Convolutional Network (TCN). Penelitian ini bertujuan untuk memprediksi harga penutupan harian Ethereum menggunakan algoritma Temporal Convolutional Network (TCN). Data historis diambil dari tahun 2018 hingga 2024 dan melalui proses pra-pemrosesan, pelatihan model, denormalisasi, serta evaluasi menggunakan metrik RMSE dan MAPE. Hasil menunjukkan bahwa konfigurasi terbaik diperoleh pada batch size 16 dan epoch 50, dengan nilai RMSE sebesar 91,45 dan MAPE sebesar 2,38%.
Efektifitas Manajemen Kesiswaan Melalui OSIM dalam Membentuk Karakter Disiplin Siswi Ningsih, Rahma Wati; Hamid, Abdul; Ghufron, Ghufron
Indonesian Journal of Islamic Educational Management Vol 7, No 1 (2024): IJIEM
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijiem.v7i1.29230

Abstract

This research aims to describe and analyze student management through osim in shaping the disciplined character of female students which was carried out at Madrasah Diniyah Darul Lughah Wal Karomah Kraksaan Probolinggo, East Java. This research is a qualitative descriptive study. This method is a type of research that describes aspects that form the context of the research. Monitor and present the actual situation that occurs in the field regarding student management at Madrasah Diniyah. The data analysis process is carried out by collecting data and simplifying it according to needs so that it becomes important points in the research, then the researcher analyzes the data by discarding data that is not needed. This research obtained data directly from the research subjects, namely the head of Madrasah Diniyah, head of Madin student affairs, and head of Osim. In the form of interview results, seeing the situation directly (observation), and documentation. The results of the research show that student management through osim is very effective in shaping the disciplined character of Madrasah Diniyah Darullughah Wal Karomah students. By carrying out routine planning, implementation and evaluation.
Islamic Branding: Insights from Strengthening Madrasah Competitiveness in Building Public Trust Ghufron, Ghufron; Khusnurridlo, Moh; Najiburrahman, Najiburrahman; Baharun, Hasan; Muchlis, Moh Najib Hasbullah
JURNAL AL-TANZIM Vol 7, No 1 (2023)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/al-tanzim.v7i1.3943

Abstract

This study aims to analyze the madrasah branding strategy in increasing the competitiveness of institutions to win the competition between educational institutions. This study uses a qualitative approach to the type of case study. Data collection techniques are carried out through observation, interviews and documentation. The data analysis was carried out circularly, starting from data collection, reduction, data display and conclusion. The results show that madrasah branding in increasing the competitiveness of its institutions is carried out through continuous planning, implementation and evaluation by involving all madrasah residents to be involved in realizing shared goals by utilizing various available platforms. This research has implications for the importance of being involved in totality to design and implement a program to achieve the desired targets optimally.
Co-Authors Abdul Hamid Anaam, Wahyu Syaiful Andre Sugiyono Anggraeni, Martha Richa Aris Munandar Aris Munandar Baharun, Hasan Dedy Kurniadi Khusnurridlo, Moh Mardawati, Mardawati Muchlis, Moh Najib Hasbullah Mulyani, Ananta Nely Nailatul Fitriani A.J Ningsih, Rahma Wati Rafli, Muhammad Rohman, Andhi Rohman, Muhammad Haikal Adzim Saputra, Wahid Ivan Suciati, Yulia Indah Zanis, Muhammad Nafid