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All Journal ITEj (Information Technology Engineering Journals) Jurnal Nasional Komputasi dan Teknologi Informasi JURNAL CRANKSHAFT Jurnal Manajemen Informatika dan Sistem Informasi GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Engineering, Technology and Natural Sciences (IJETS) AHKAM : Jurnal Hukum Islam dan Humaniora Enrichment: Journal of Multidisciplinary Research and Development JURNAL PENDIDIKAN OLAHRAGA Mutiara: Multidiciplinary Scientifict Journal J-CEKI
Alfin, Muhammad
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Aerospace Engineering Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation

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Tingkat Kemampuan VO₂MAX pada Siswa SMKN 1 Singosari Zulfina N, Fannisa; Alfin, Muhammad; Isnaini, Lalu; Rusdiyanto, Rajip Mustafillah
JURNAL PENDIDIKAN OLAHRAGA Vol. 15 No. 4 (2025): JURNAL PENDIDIKAN OLAHRAGA
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpo.v15i4.3006

Abstract

Kebugaran jasmani, khususnya kapasitas kardiorespirasi, merupakan komponen penting dalam menunjang kesiapan fisik siswa Sekolah Menengah Kejuruan (SMK) dalam menghadapi dunia kerja. Namun, rendahnya tingkat aktivitas fisik siswa SMK berpotensi menurunkan kebugaran jasmani mereka. Penelitian ini bertujuan untuk mengetahui tingkat kemampuan VO₂Max siswa kelas XI di SMKN 1 Singosari yakni 254 siswa sebagai indikator kebugaran kardiorespirasi. Metode yang digunakan adalah survei kuantitatif dengan pendekatan deskriptif. Sampel terdiri dari 100 siswa, yaitu 50 siswa laki-laki dan 50 siswa perempuan yang dipilih secara acak. Instrumen pengumpulan data menggunakan Multistage Fitness Test (Bleep Test) untuk mengukur nilai VO₂Max. Hasil penelitian menunjukkan bahwa rata-rata VO₂Max siswa laki-laki adalah 37,5 ml/kg/menit dan siswa perempuan 27,8 ml/kg/menit. Mayoritas siswa berada dalam kategori “Sangat Kurang” dan “Kurang”. Temuan ini mengindikasikan bahwa tingkat kebugaran kardiorespirasi siswa masih tergolong rendah dan perlu mendapat perhatian. Hasil penelitian ini diharapkan dapat menjadi dasar evaluasi bagi guru PJOK dan pihak sekolah dalam merancang program aktivitas fisik yang lebih efektif dan adaptif guna meningkatkan kebugaran jasmani siswa.
Reskilling and Upskilling Strategies for Manufacturing Workers in the Industry 4.0 Landscape: Case study on PT. XYZ Fatur Rizki, Dwiki; Mangesti, Dewi Sri; Alfin, Muhammad; Ratnasari, Pungky Eka; Purnamasari, Rita
Enrichment: Journal of Multidisciplinary Research and Development Vol. 2 No. 6 (2024): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v2i6.144

Abstract

The advent of Industry 4.0 has revolutionized the manufacturing sector, necessitating a paradigm shift in workforce skills to adapt to the rapid technological advancements. This paper explores the strategies for reskilling and upskilling manufacturing workers at PT. XYZ to align with the demands of Industry 4.0. The research utilizes a mixed-method approach, combining quantitative data from employee performance metrics and qualitative insights from interviews with management and workers. Key findings indicate that a comprehensive strategy integrating technical training, digital literacy, and soft skills development is essential for enhancing employee adaptability and performance. The case study highlights the pivotal role of organizational culture and leadership in driving successful reskilling and upskilling initiatives. Furthermore, the research underscores the importance of continuous learning and proactive workforce planning to mitigate skill gaps and ensure sustainable growth. The implications of this study provide valuable insights for manufacturing firms aiming to thrive in the Industry 4.0 landscape through strategic human capital development
Analisis Strategi Digital Marketing dalam Meningkatkan Daya Saing di Aulia Motor Kabupaten Sidenreng Rappang Alfin, Muhammad; Pratiwi Ramlan; Muh.Tamrin; Adam Latif
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 1: Desember 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i1.12698

Abstract

Rendahnya pemanfaatan strategi digital marketing pada Aulia Motor Kabupaten Sidenreng Rappang, di mana promosi masih didominasi metode konvensional sehingga kurang efektif menjangkau konsumen baru di era digital. Tujuan penelitian ini adalah menganalisis penerapan strategi digital marketing dalam meningkatkan daya saing usaha serta mengidentifikasi faktor-faktor keberhasilannya. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan delapan informan yang terdiri dari pemilik, karyawan, dan pelanggan. Data dikumpulkan melalui observasi, wawancara mendalam, dan dokumentasi, kemudian dianalisis menggunakan analisis tematik berbantuan NVivo 12 Pro. Hasil penelitian menunjukkan bahwa pemanfaatan media sosial, khususnya Instagram, berdampak positif terhadap peningkatan visibilitas, jangkauan pasar, serta loyalitas pelanggan. Dari enam indikator digital marketing, yang paling dominan adalah informativeness (24%) dan interactivity (21%). Keduanya berpengaruh terhadap daya saing, terutama pada aspek kualitas produk, keunggulan bersaing, dan harga bersaing. Penelitian ini menegaskan pentingnya strategi digital marketing sebagai instrumen utama peningkatan daya saing UMKM, meskipun masih diperlukan optimalisasi variasi konten hiburan dan konsistensi promosi.
Relasi Ayat ‘Am dan Khas: Antara Praktik dalam Perkara Thalaq dan Transformasi Hukum Keluarga Islam di Indonesia Alhafis, M.; Alfin, Muhammad; Siregar, Hendri Sutia; Taufiq, Muhammad
AHKAM Vol 4 No 4 (2025): DESEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ahkam.v4i4.8143

Abstract

This study examines the interpretation of ayat ‘am (general) and khas (specific) in the Al-Qur’an related to thalak (divorce) and its relevance for the renewal of Islamic family law in Indonesia. The background of the study lies in the existence of divergent interpretations of divorce verses, which often influence the application of family law in contemporary social and legal contexts. The research aims to analyze the meaning of ayat ‘am and khas on thalak based on tafsir and uṣūl al-fiqh approaches, and to explain their implications for developing a more just and contextually responsive family law in Indonesia. This qualitative library research employs thematic exegesis (tafsīr maudhu‘ī), an uṣūl al-fiqh perspective, and a juridical-normative approach. Primary data are drawn from Al-Qur’an verses on thalak (Q.S. al-Baqarah: 229–230; Q.S. at-Talaq: 1–2), classical tafsir works, and foundational legal literature, while secondary data are obtained from books, journal articles, and regulations on family law in Indonesia. The findings show that ayat ‘am provide general principles of divorce, whereas ayat khas regulate the procedures and ethics of its implementation in more specific terms; an integrative interpretation of both yields a legal construction that balances normative and practical dimensions. Within the context of Indonesian family law, these principles support legal reform aligned with maqāṣid al-syarī‘ah, particularly the values of justice (‘adl), public welfare (maṣlaḥah), and the protection of human dignity. Accordingly, the interpretive framework of ayat ‘am and khas on thalak can serve as a conceptual foundation for strengthening Islamic family law in Indonesia so that it becomes more adaptive to contemporary developments while remaining firmly rooted in Al-Qur’anic values.
Implementation of Artificial Neural Network with Particle Swarm Optimization Algorithm for Financial Distress Prediction of Private Banks in Indonesia Alfin, Muhammad; Firdianto, Dafa Rifqi; Santoso, Noviyanti
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 7 No 2 (2025): International Journal of Engineering, Technology and Natural Sciences
Publisher : Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v7i2.458

Abstract

Banking stability, particularly the risk of financial distress in private commercial banks, remains a critical issue that requires accurate and reliable prediction models. This study aims to analyze the characteristics of financial distress in Indonesian private commercial banks and to evaluate the effectiveness of Artificial Neural Networks (ANN) and ANN optimized with Particle Swarm Optimization (ANN-PSO) in predicting financial distress. Using financial data from 59 private commercial banks over the 2020–2023 period, this research employs five financial ratios as input variables and applies ANN and ANN-PSO models, with parameter selection conducted through a trial-and-error and optimization process. The results show that financial distress peaked in 2022–2023 with 32 distressed banks, while descriptive statistics indicate differences between distress and non-distress banks, including average NPLs of 1.40% versus 1.04%, ROA of 0.36% versus 0.75%, and LDR of 93.89% versus 92.39%, respectively. In predictive performance, both ANN and ANN-PSO achieved identical test accuracy of 95.74%, sensitivity of 93.75%, specificity of 96.77%, and an F1 score of 93.75%, although ANN-PSO demonstrated better model stability with lower training accuracy (98.40%) compared to ANN (99.47%), indicating reduced overfitting. Despite these promising results, this study is limited to a relatively short observation period and a fixed set of financial ratios; therefore, future research is recommended to incorporate longer time horizons, additional macroeconomic variables, and alternative optimization techniques to further enhance prediction robustness and generalizability.
Pengembangan Sistem Otomatisasi Pakan Ikan dan Monitoring Kualitas Lingkungan Berbasis IoT dan Machine Learning untuk Budidaya Ikan Berbasis Web Alfin, Muhammad; Kiswanto, Dedy; Akbar, Muhammad Budi; Hasibuan, Najwa Latifah
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 9, No 1 (2026): Februari 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10246

Abstract

Abstrak - Pemberian pakan yang tidak efisien dan kurangnya pemantauan kondisi lingkungan merupakan tantangan utama dalam budidaya ikan tradisional, yang berdampak pada peningkatan biaya operasional dan penurunan produktivitas. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Otomatisasi Pakan dan Monitoring Kualitas Lingkungan Budidaya Ikan berbasis Internet of Things (IoT) dan Machine Learning (ML) sederhana. Sistem ini menggunakan mikrokontroler ESP32 sebagai pusat kendali untuk membaca data sensor suhu dan menggerakkan servo motor sebagai mekanisme feeder pakan otomatis. Data sensor lingkungan dan parameter ikan (jumlah dan umur) dikirim ke Flask API yang berfungsi sebagai jembatan komunikasi dan pengolah data. Di sisi server, Flask API mengaplikasikan model Regresi Sederhana untuk mengestimasi kebutuhan pakan harian secara adaptif. Hasil estimasi kemudian dikirimkan kembali ke ESP32 untuk eksekusi pemberian pakan. Seluruh proses monitoring dan input parameter dilakukan melalui Dashboard Web berbasis PHP. Hasil pengujian menunjukkan bahwa sistem mampu melakukan pemantauan suhu secara real-time dan melaksanakan mekanisme pemberian pakan secara akurat sesuai hasil perhitungan ML. Integrasi yang efisien antara IoT, API, dan model ML ini diharapkan dapat mengoptimalkan manajemen pakan, mengurangi limbah, dan mendukung praktik akuakultur yang lebih berkelanjutan.Kata kunci : Internet of Things (IoT); Machine Learning; ESP32; Servo Motor; Pakan Otomatis; Budidaya Ikan; Abstract - Inefficient feeding practices and the lack of environmental condition monitoring are major challenges in traditional aquaculture, leading to increased operational costs and reduced productivity. This study aims to design and implement an Automated Feeding and Environmental Quality Monitoring System for fish cultivation based on the Internet of Things (IoT) and simple Machine Learning (ML). The system uses an ESP32 microcontroller as the central controller to read temperature sensor data and operate a servo motor as the automatic feeding mechanism. Environmental sensor data and fish parameters (quantity and age) are transmitted to a Flask API, which functions as a communication bridge and data processor. On the server side, the Flask API applies a Simple Regression model to estimate daily feed requirements adaptively. The estimation results are then sent back to the ESP32 for feed dispensing execution. All monitoring processes and parameter inputs are conducted through a PHP-based web dashboard. Experimental results show that the system is capable of performing real-time temperature monitoring and executing accurate feeding mechanisms according to the ML calculations. The efficient integration of IoT, API, and ML models is expected to optimize feed management, reduce waste, and support more sustainable aquaculture practices.Keywords: Internet of Things (IoT); Machine Learning; ESP32; Servo Motor; Automatic Feeding; Aquaculture;
Co-Authors Adam Latif Adidtya Perdana, Adidtya Akbar, Aji Ali Akbar, Muhammad Budi Alhafis, M. Amelia Br Siregar, Ririn Arnita Arnita Bahiy, Oktavian Khayyan Budi Akbar, Muhammad Bush Henrydunan, John Dedy Kiswanto Fatur Rizki, Dwiki Firdianto, Dafa Rifqi Haikal Al Majid, Muhammad Hasibuan, Najwa Latifah Ibrahim Ibrahim Impana Manik, Kristin Isnaini, Lalu Jati, Dian Rahayu Kana Saputra S Lalu Moh Yudha Isnaini Mangesti, Dewi Sri Muh.Tamrin Muhammad Taufiq RAJIP MUSTAFILLAH RUSDIYANTO Ramadhan Manik, Albert Ramadhani, Fanny Ramlan, Pratiwi Ratnasari, Pungky Eka Remon, Aulia Irelin Sekar Rita Purnamasari Rizki, Dwiki Fatur Rusindiyanto Santoso, Noviyanti Shaleh, Mansyur Abdul Siregar, Hendri Sutia Wahyudi, Rizky Yewon, Kim Zulfina N, Fannisa