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All Journal Jurnal Gaussian Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan EDUTECH: Jurnal Ilmu Pendidikan dan Ilmu Sosial Fon: Jurnal Pendidikan Bahasa dan Sastra Indonesia JURNAL INTEGRASI al-Afkar, Journal For Islamic Studies Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Ilmiah KORPUS Jurnal Geografi JURNAL BUANA MENDIDIK: Jurnal Kajian Pendidikan dan Pengajaran JSiI (Jurnal Sistem Informasi) At-Tafkir Faktor Jurnal Ilmiah Kependidikan Al-Mursalah Pena Justisia: Media Komunikasi dan Kajian Hukum Elementa: Jurnal Pendidikan Guru Sekolah Dasar bit-Tech Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Journal of Applied Electrical Engineering Maspul Journal of Community Empowerment Bidayah: Studi Ilmu-Ilmu Keislaman Agroekotek View Al-Awqaf: Jurnal Wakaf dan Ekonomi Islam Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Al Marhalah Soeropati: Journal of Community Service Indonesian Journal of Education, Social Sciences and Research (IJESSR) Wacana : Jurnal Penelitian Bahasa, Sastra dan Pengajaran JPM: JURNAL PENGABDIAN MASYARAKAT An-Nahdlah: Jurnal Pendidikan Islam Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Teknik Informatika Jurnal Pendidikan dan Pembelajaran Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmiah Ilmu Pengetahuan Sosial Indonesia (JIIPSI) Journal of Food and Agricultural Product Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Riset Rumpun Ilmu Sosial, Politik dan Humaniora (JURRISH) HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Buana Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Jurnal Imu Pendidikan dan Keagamaan QOSIM: Jurnal Pendidikan, Sosial & Humaniora Jurnal Akademik Pengabdian Masyarakat Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Pengabdian Masyarakat Ilmu Komputer KAMALIYAH : Jurnal Pendidikan Agama Islam Jurnal Bisnis Inovatif dan Digital Jurnal Pendidikan Dasar Islam Modem : Jurnal Informatika dan Sains Teknologi International Journal of Information Engineering and Science JURNAL BUANA Pemberdayaan Masyarakat: Jurnal Aksi Sosial Indonesian Journal of Law and Justice Ulil Albab JAMPI JSES
MUHAMMAD ARIFIN
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Implementasi Data Mining Asosiasi Terhadap Data Penjualan Mahendra, Indra Wahyu; Mohammad Khoirul Anwar; Chirza Rahman; Muhammad Arifin
Jurnal Riset Informatika dan Inovasi Vol 2 No 12 (2025): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Abstract

Penelitian ini membahas penerapan algoritma Apriori dalam data mining untuk menemukan pola asosiasi dalam data transaksi penjualan produk. Tujuan utama dari penelitian ini adalah mengidentifikasi produk-produk yang sering dibeli bersama, sehingga dapat memberikan wawasan untuk pengoptimalan strategi penjualan dan penempatan produk. Proses ini dilakukan dengan menggunakan data transaksi dari sebuah platform e-commerce, yang dibagi berdasarkan kelompok usia dan jenis kelamin pelanggan. Hasil dari analisis menunjukkan bahwa terdapat perbedaan pola pembelian produk berdasarkan faktor demografis seperti usia dan jenis kelamin, yang memberikan informasi penting dalam merancang strategi pemasaran yang lebih tepat sasaran. Analisis ini dilakukan dengan menggunakan Google Colab, yang menghasilkan nilai support, confidence, dan lift yang signifikan dalam mengukur kekuatan hubungan antara produk-produk yang dibeli bersamaan. Temuan ini diharapkan dapat memberikan kontribusi pada pengambilan keputusan dalam pengelolaan produk dan promosi yang lebih efektif di sektor ritel
Perbandingan Model Regresi Linier dan Random Forest Regressor dalam Estimasi Harga Jual Rumah Berdasarkan Data Properti di Yogyakarta Indriani Zabrina Putri; Rosyada, Mila; Salma Elsa Widyadhana; Saskia Aila Virda; Muhammad Arifin
Jurnal Riset Informatika dan Inovasi Vol 2 No 12 (2025): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Abstract

Determining the selling price of a house is a crucial aspect in property transactions, especially in regions with dynamic market conditions such as Yogyakarta. This study compares two predictive modeling approaches Linear Regression and Random Forest Regressor in estimating house prices based on property data obtained from the rumah123.com website. The dataset used consists of 1,036 entries, covering variables such as price, land area, building area, number of bedrooms, number of bathrooms, availability of a carport, and location. After undergoing data preprocessing, both models were trained and tested using the same dataset to assess their predictive performance. Evaluation results indicate that the Random Forest model outperforms Linear Regression in terms of accuracy, particularly in handling data variation and non-linear relationships between variables. Although Linear Regression produced a coefficient of determination (R²) of 0.846 indicating that the model could explain 84.6% of the variability in house prices Random Forest demonstrated more precise predictions on the test data. These findings emphasize that selecting the appropriate model depends heavily on the complexity of the data and the required level of accuracy. This study provides a valuable contribution to the development of data-driven decision support systems for property price estimation and serves as a foundation for further research using more advanced machine learning approaches.
Penerapan Data Mining dengan Algoritma C4.5 untuk Mengidentifikasikan Prediksi Penyakit Diabetes Muhammad Ardi Hermansyah; Diyas Aditya Adi Saputra; Fikri hamdhan Dwi Saputra; Muhammad Rizqy Maulana; Muhammad Arifin
Jurnal Riset Informatika dan Inovasi Vol 2 No 12 (2025): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Abstract

Diabetes termasuk penyakit kronis dengan angka kematian yang cukup tinggi secara global, dan sering kali baru terdiagnosis pada tahap lanjut karena gejala awalnya yang kurang mencolok. Dua penelitian ini mengembangkan pemanfaatan teknologi data mining dengan algoritma Decision Tree C4.5 untuk membentuk model prediksi dini terhadap penyakit diabetes. Data yang digunakan berasal dari repositori publik seperti UCI serta data klinis dari fasilitas kesehatan, dengan atribut-atribut klasifikasi seperti umur, jenis kelamin, berat badan, tekanan darah, detak jantung, dan kadar gula darah. Setelah melalui proses preprocessing, perhitungan entropy dan information gain, serta validasi melalui aplikasi RapidMiner, penelitian ini berhasil menghasilkan aturan klasifikasi yang mampu memprediksi risiko diabetes secara efektif. Kedua studi tersebut menunjukkan akurasi yang tinggi, masing-masing sebesar 95,51% dan 90,00%, yang menandakan bahwa algoritma C4.5 cukup andal dan memiliki potensi untuk dimanfaatkan dalam sistem pendukung keputusan medis guna mendeteksi diabetes sejak dini.
Membangun Sistem Manajemen Pesanan Efektif Dengan Laravel Di Kepinuk Sablon Azka, Muhammad; Muhammad Arifin; Noor Latifah
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 1 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i1.1308

Abstract

Pencatatan dan pengelolaan data pemesanan pelanggan pada percetakan Kepinuk masih dilakukan secara manual, yang sering menimbulkan kesalahan dan kesulitan dalam memberikan informasi produk yang akurat kepada pelanggan. Penelitian ini bertujuan untuk merancang dan membangun sebuah sistem informasi manajemen pesanan untuk memperbaiki pengolahan data dan meningkatkan efisiensi operasional percetakan. Metode yang digunakan mencakup observasi, wawancara, serta pengembangan sistem dengan pendekatan waterfall, yang terdiri dari analisis, perancangan, pemrograman, pengujian, dan implementasi. Sistem dibangun menggunakan PHP, framework Laravel, dan MySQL sebagai basis data. Hasil penelitian menunjukkan bahwa aplikasi ini mampu mengurangi kesalahan pengolahan data, mempercepat pencarian informasi, dan menyederhanakan pembuatan laporan. Sistem juga memungkinkan pelanggan melakukan pemesanan, pembayaran, dan memantau status pesanan secara efisien, sehingga meningkatkan produktivitas dan pelayanan percetakan.  
Implementasi Sistem Web Untuk Menilai Kepuasan Pelanggan Pt Yohom Solution Indonesia Dengan Metode Servqual Wijaya, Cindy; Pratomo Setiaji; Muhammad Arifin
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 1 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i1.1318

Abstract

PT Yohom Solution Indonesia menghadapi kendala dalam mengukur kepuasan pelanggan karena penilaian kepuasan selama ini belum terdata secara kuantitatif akibat keterhambatan penerapan metode yang tepat untuk menilai indikator-indikator layanan. Tujuan penelitian ini adalah untuk merancang sistem informasi yang dapat mengelola data kepuasan pelanggan secara efektif. Metode yang digunakan adalah pendekatan SERVQUAL yang menilai kualitas layanan berdasarkan lima dimensi: Tangibles, Reliability, Responsiveness, Assurance, dan Empathy. Hasil penelitian ini adalah terciptanya Sistem Informasi Kepuasan Pelanggan yang dapat membantu admin dan pemilik layanan Yohom dalam melakukan evaluasi kinerja layanan secara lebih terstruktur dan objektif.  
Personalized Learning untuk Generasi Z: Peluang dan Tantangan Ruri Keristanti; Wahyuni Juliani; Muhammad Arifin
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 3 (2025): Juli 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v4i3.4419

Abstract

The rapid technological changes in the 21st century have influenced how individuals learn, particularly among Generation Z, who have grown up as digital natives. This generation possesses unique characteristics such as dependence on technology, a desire for learning autonomy, and a tendency toward visual and interactive learning. These traits demand a more flexible, adaptive, and personalized educational approach. Personalized learning is considered one method capable of addressing these needs. The aim of this study is to explore the opportunities and challenges of implementing personalized learning for Generation Z. The research employed a qualitative methodology. To achieve this, a qualitative research approach was used, drawing data from various relevant literature sources. The Miles and Huberman model was applied as the data analysis methodology, which includes the processes of data reduction, data presentation, and drawing comprehensive conclusions. The results of the study indicate that personalized learning can enhance student motivation, engagement, and learning outcomes through the use of technology such as adaptive learning systems, digital platforms, and artificial intelligence. Additionally, personalized learning fosters the development of 21st-century skills such as independence, digital literacy, and problem-solving. However, challenges such as the digital divide, teacher readiness, and limitations of the national curriculum remain critical issues to be addressed. This study recommends strategies such as integrating technology and providing teacher training as initial steps toward the effective implementation of personalized learning.
Model-Model Pembelajaran di Era 5.0 dan Tantangan dalam Implementasi Muhammad Arifin; Noviyanti, Noviyanti; Dedek Berliani
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 3 (2025): Juli 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v4i3.4436

Abstract

The Society 5.0 era demands that the world of education undergo various transformations, including the way teachers teach and students learn, the use of technology and creative learning approaches, and relevance to the real world. Transformation is accompanied by efforts to prepare human resources who are able to adapt, coexist and synergize with the use of technology. This study aims to identify and analyze learning models based on information and communication technology (ICT) that are relevant in supporting learning in the 5.0 era. The research method used is a literature study of various scientific sources, with a descriptive qualitative approach. Several learning models discussed include blended learning, flipped classroom, project-based learning, online-collaborative learning, game-based learning, and simulation-based learning. Each of these learning models has advantages in forming 21st century skills such as critical thinking, collaboration, creativity, and communication. However, in the implementation in the field, these models still face challenges such as the low level of teachers in implementing the model because they have never received training, limited technological infrastructure, and resistance to change. Therefore, the integration of ICT-based learning models requires the readiness of the education system as a whole to be able to realize effective, adaptive, and relevant learning in the digital era.
Analisis Sentimen Ulasan Hijab Aulia dengan Metode Support Vector Machine untuk Kepuasan Pelanggan Amelia Vega Utomo; Arif Setiawan; Muhammad Arifin
Jurnal Sistem Informasi dan E-Bisnis Vol 7 No 2 (2025): Agustus
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v7i2.607

Abstract

Perkembangan e-commerce berbasis konten seperti TikTok Shop mendorong peningkatan interaksi konsumen dalam bentuk ulasan produk. Komentar-komentar ini menjadi sumber informasi penting bagi produsen untuk memahami persepsi dan kebutuhan pelanggan secara lebih akurat. Penelitian ini bertujuan untuk menerapkan metode Support Vector Machine (SVM) dalam mengklasifikasikan sentimen pada ulasan produk hijab best seller dari Aulia Hijab yang dikumpulkan melalui teknik web scraping. Metode ini didukung oleh representasi fitur teks menggunakan TF-IDF untuk mengolah data teks berdimensi tinggi. Tahapan penelitian mencakup preprocessing data, pembobotan kata, pelatihan model SVM, hingga deployment sistem menggunakan framework Streamlit. Hasil evaluasi menunjukkan bahwa model mampu mencapai akurasi sebesar 92%, dengan performa tertinggi pada klasifikasi sentimen positif dan negatif. Namun, kategori netral masih memiliki tantangan dalam deteksi akurat akibat keterbatasan data dan pendekatan berbasis frekuensi. Penelitian ini memberikan kontribusi praktis dalam mendukung pengambilan keputusan berbasis data di sektor industri fashion digital, serta membuka peluang pengembangan model klasifikasi yang lebih kontekstual dan adaptif di masa depan.
Implementasi Kuliah Pengabdian Masyarakat (KPM) Internasional Mahasiswa FEBI UIN Ar-Raniry sebagai Media Diplomasi Ekonomi dan Pendidikan: Studi Kasus di Hatyai, Thailand Jauza Nuha; Zulvia Maika Letis; Muhammad Arifin; Fitria Rizkia Amanda; Kevin Fathuriansyah; Miftahul Jannah; Mutiara Nabila; Rahma Sarita Maulida; Rifqi Aldian; Siti Humairah
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 7 No. 10 (2025): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v7i10.9774

Abstract

KPM Internasional is a form of student engagement that integrates academic, social, and cultural dimensions across national boundaries. This study aims to analyze the implementation of the International KPM as a medium for economic and educational diplomacy, using a case study in Hatyai, Thailand. The research employed a qualitative descriptive approach through participatory observation, in-depth interviews, and document analysis. The findings reveal that the KPM program in Hatyai not only strengthens academic collaboration between Indonesian and Thai universities but also creates opportunities for cooperation in the fields of creative economy, local trade, and halal product promotion. Moreover, the program plays a significant role in fostering soft diplomacy through cultural exchange, language interaction, and the dissemination of moderate Islamic values relevant to the Southern Thai context. Therefore, the International KPM serves as an effective instrument for expanding educational and economic networks while enhancing Indonesia’s positive image in the global arena.
Sosialisasi Stop Bullying Di SDN Kuin Cerucuk 1 Banjarmasin Sa’adah Erliani; Muhammad Arifin; Ria Mayasari; Arina Wulandari
Jurnal Abdi Masyarakat dan Pemberdayaan Inovatif Vol 1 No 2 (2025): Edisi Juni 2025
Publisher : Prodi PGSD Unsultra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64690/jampi.v1i2.206

Abstract

Bullying is a serious problem that has a negative impact on children's psychological and social development, especially in elementary school environments. This community service activity aims to increase awareness of students and teachers at SDN Kuin Cerucuk 1 Banjarmasin about the dangers of bullying and the importance of creating a safe, comfortable, and empathetic school environment. The method of implementing the activity is in the form of socialization and counseling through visual media, interactive discussions, role simulations, and distribution of educational leaflets. This activity involves all students from grades I to VI and teachers. The results of this activity show an increase in students' understanding of the forms of bullying and their impacts. In addition, teachers also showed enthusiasm in supporting ongoing bullying prevention programs. Based on the evaluation results, 87% of participants stated that they better understood how to identify and prevent bullying. In conclusion, this socialization succeeded in building collective awareness between students and teachers to jointly reject all forms of bullying. It is hoped that this activity will be the first step in forming an inclusive, tolerant, and child-friendly school culture.
Co-Authors Abdul Manan Abdul Nasar Abdullah Sani Achmad Zainuddin Adhira, Meisya Adi Mansar Adiv Prasetiyo Nugroho Adlian Jefiza Afriyanti Afriyanti Agus Trianto Ahmad Riyad Firdaus Akbar Muhammad Fadli Amalia, Nadra Amelia Vega Utomo Ardinawati Ardinawati Arif Setiawan Arina Wulandari Arsyad Muhammad Sajjad Ashaluddin Jalil Asnita Sari Atika Anggraini Atika Wiwi Utami Aulia Fatmawati Azhari, Fitriyah Azka, Muhammad Budi Warsito Cakra Haji Catur Budi Handayani Chatarina Umbul Wahyuni Chatimatun Nisa Chirza Rahman Cindy Wijaya, Cindy Creed Ridho Sonsania Danial, Nur Hasan Anwas Dedek Berliani Deni Nasir Ahmad Devi Savitri Effendy Diska Kurnia Azzahra Putra Diyas Aditya Adi Saputra Dodik Wahyono Dr. Ruslan, SH.,MH Dwi Febriani Dwi Imam Mulyono Egi Fazar Firrizqi Eko Ngabdul Shodikin Elkin Rilvani Endah Purwaningsih Eviana Hartanti Evitri Anggraeni Fadilla Aulia Savana Farell Muhammad Dava Farhan, Faris Ahmad Farhan Fauzi Ismail Ferdyan Candra Adinata Ferida Yuamita Ferry Susanto Limbong Fikri hamdhan Dwi Saputra Fitria Rizkia Amanda Ghozalli Mashan Hafas Furqani Harahap, Tetty Rosmaida Harsilaningsih Harsilaningsih Hasibuan, Salsabila Hendra Wijaya Hidayatullah Ida Nadirah Ika Karlina Laila Nur Suciningtyas Imron Rosyadi Indah Khairany Indra Daulay Indriani Zabrina Putri Ira Zamzami Isnina Isnina Jauza Nuha Jayawarsa, A.A. Ketut Junaidi Junaidi Kemal Husen Kemal Maesal Azam Kevin Fathuriansyah Khadijah Binti Mohd Khambali Khairudin Kusuma Dewi, Inggrid La Ode Rifaldy Rizqi Ramadan.M M. Muslim M. Muslim Maghfirah Chairunnisa Mahendra, Alfianas Shofi Tafta Mahendra, Indra Wahyu Merri Silvia Basri Miftahul Hasanah MIFTAHUL JANNAH Mikael Rivaldo Mila Angraeni Mochamad Nunu Husnun Mohammad Agus Purnomo Mohammad Khoirul Anwar Muhammad Ardi Hermansyah Muhammad Fandi Muhammad Hanan Putra Ardani Muhammad Rif'al Rafi Muhammad rifa'i Muhammad Rizki Romadhan Muhammad Rizqy Maulana Mumu Zainal Mutaqin Mustanir Mustanir MUTIARA NABILA Nadhrah Wivanius Noor Latifah Noormaliah Nova Bryan Haidar Noviyanti Noviyanti, Noviyanti Nurjamiyah, Nurjamiyah Nurmaladewi Nurmaladewi Nurtia Rahmadani Oktagina Feronica Okti Maryana Paduloh Paduloh Pratomo Setiaji Putri, Semila R Rhoedy Setiawan Ragil Cahya Satria Rahma Sarita Maulida Rahmatulloh Rahmatulloh ramadhan tosepu Ramadhan, Galang Novian Rati Rahayu Ratna Mulyany Ria Ariesta Ria Mayasari Rifdah Molidah Rifqi Aldian Rika Sofiana Riki Ria Rizda Sandiva Saputri Rossa Aprilia Wulan As’ad Rossa Aprilia Wulan As’ad` Rosyada, Mila Rudy Patar Purwanto Purba Ruri Keristanti Sabni Gilang Permana Saepul Bahri Sahari, Alpi Salma Elsa Widyadhana samudi Sanusi SANUSI SANUSI Saprijal, Saprijal Saskia Aila Virda Sa’adah Erliani Septian Fatianda Sigit Muamar Yusuf Siti Humairah Solihin, Solihin Suhadi Suhadi Suheri Mira Atmaja Sumantri Kurniawan Risandriya T. Erwinsyahbana Tarmukan Tarmukan Tarno Tarno Wa Ode Yanti Wahyuni Juliani Widya Prarikeslan Widya Rika Puspita Wulan Cahyati Wulida Makhtuna Yogi Aryo Pratomo Yohani, Adisthi Martha Yudha Adrian, Yudha Yuni Kamilaini Zaharuddin Zaharuddin Zahra Nuril Anwar Zahratul Jannah Zulvia Maika Letis Zuraida Titin Mariana