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All Journal Medikora: Jurnal Ilmiah Kesehatan Olahraga Jurnal Ekonomi dan Bisnis SAINTEK JURNAL RUMPUN MANAJEMEN DAN EKONOMI International Journal of Economics, Business and Innovation Research
Bayu Aji Laksono
Unknown Affiliation
Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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PENGEMBANGAN MODEL BODY WEIGHT TRAINING UNTUK LATIHAN OTOT PERUT Bayu Aji Laksono; Widiyanto Widiyanto
MEDIKORA Vol 15, No 2 (2016): Oktober
Publisher : Faculty of Sports Sciences, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1816.693 KB) | DOI: 10.21831/medikora.v15i2.23144

Abstract

Kurangnya pengetahuan tentang model/variasi latihan body weight menyebabkan members fitness/pelaku olahraga pada saat melakukan latihan beban terkesan monoton, kurang bervariasi dan membosankan. Tujuan penelitian ini adalah untuk mengembangkan model body weight training untuk latihan otot perut, yang nantinya dapat menjadi panduan untuk latihan otot perut dan diharapkan dapat mempercepat pembentukan otot perut menjadi sixspack. Model-model body weight training lebih menekankan pada spesifikasi bagian otot perut. Penelitian ini merupakan penelitian pengembangan model dengan langkah-langkah penelitiannya sebagai berikut: (1) mengenali potensi dan masalah, (2) pengumpulan data, (3) desain produk, (4) validasi desain, (5) revisi desain, (6) uji coba produk, (7) revisi produk, (8) uji coba pemakaian, (9) revisi produk, dan (10) produk masal. Validasi draf model latihan dilakukan oleh tiga ahli/pakar materi tentang kebugaran fisik. Sampel penelitian dalam uji coba skala kecil berjumlah 5 responden dan uji coba skala besar berjumlah 20 responden. Penelitian dilakukan di Club Arena International Hotel Pandanaran, Hotel Jambuluwuk, dan Hotel Ros In. Teknik analisis data menggunakan data kualitatif dan kuantitatif. Data kualitatif diperoleh dari: (1) hasil wawancara dengan members fitness center, (2) catatan lapangan, dan (3) data saran perbaikan draf model awal dan hasil observasi pada pelaksanaan uji coba dengan skala kecil dan besar. Data kuantitatif diperoleh dari: (1) penilaian skala nilai validasi draf model, (2) penilaian skala nilai observasi pelaksanaan model, dan (3) hasil penilaian kuesioner uji coba skala kecil dan besar dari responden. Hasil yang diperoleh dari data validasi draf model dan observasi pelaksanaan model latihan oleh ahli/pakar 100 % baik sekali. Hasil penilaian kuesioner uji coba skala kecil 80 % baik sekali dan 20 % baik, sedangkan untuk hasil kuesioner uji coba skala besar 60 % baik sekali dan 40 % baik. Berdasarkan hasil tersebut dapat diartikan bahwa model body weight training untuk latihan otot perut layak untuk digunakan.
Pemanfaatan Teknologi dalam Perkembangan Operasional Perbankan Syariah Bayu Aji Laksono; Fauzatul Laily Nisa
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 1 No. 3 (2024): Juli
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v1i3.1580

Abstract

In the current digital era, the utilization of technology is becoming increasingly important for the banking industry, including Islamic banking. Several reasons why technology must be a major focus for the development of Islamic banking are to improve operational efficiency, expand service reach, enhance customer experience, drive product innovation, and strengthen security and compliance. This study discusses the utilization of technology in the operational development of Islamic banking in Indonesia, as well as the challenges and opportunities faced by the industry in adopting digital technology. Thus, this study provides valuable insights into the dynamics of the development of Islamic banking in Indonesia, particularly in the context of utilizing digital technology to improve the industry's operations and competitiveness.
The Role Of Business Model Innovation, Trust, And Customer Commitment In Sme Business Growth (A Study On Gamelan Craft Sme Business In Special Region Of Yogyakarta) Bayu Aji Laksono; Al Hasin
International Journal of Economics, Business and Innovation Research Vol. 4 No. 01 (2025): International Journal of Economics, Business and Innovation Research( IJEBIR)
Publisher : Cita konsultindo

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Abstract

The purpose of this study was to investigate how customer loyalty, trust, and innovative business models affect the expansion of small and medium enterprises (SMEs), especially the gamelan craft SME "Special Region of Yogyakarta." Using quantitative methodology, this study collected data from up to 130 employees, managers, and owners of SMEs using questionnaires. The validity and reliability of the research instruments were tested through statistical data processing using SEM PLS and SPSS. The results of the study indicate that: 1) Business model innovation has a positive and significant effect on SME business growth; 2) Customer trust has a positive and significant effect on SME business growth; and 3) Business model innovation has a positive effect on SME business growth, which is mediated by customer commitment. The findings of this study indicate that in order to increase company growth, Special Region of Yogyakarta SME Managers must continue to promote innovation in business models, which include implementing digital technology and modernizing marketing tactics. Furthermore, management needs to concentrate on increasing consumer commitment and trust by improving the quality of goods and services and developing loyalty plans that will strengthen long-term relationships with clients.
ANALISIS RASIO RENTABILITAS (STUDI KASUS LAPORAN KEUANGAN PADA PT. BANK MEGA TAHUN 2017-2022) Cinta Billytona; Moh Rizal; Bayu Aji Laksono; Renny Oktafia
Jurnal Ekonomi dan Bisnis Vol. 2 No. 3 (2024): Maret
Publisher : ADISAM PUBLISHER

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Abstract

Banking plays an important role as a tool to support the growth of a country's economy, including in Indonesia. Bank Mega, one of the national private banks, has a strategic role in the Indonesian banking sector. This study analyzes Bank Mega's financial reports from 2017 to 2022, focusing on profitability ratios: Return on Assets (ROA), Return on Equity (ROE), and Net Interest Margin (NIM). This analysis aims to understand bank financial performance before and during the COVID-19 pandemic. The results show an increase in ROA and ROE from year to year, indicating efficiency in the use of assets and the bank's ability to generate profits from its capital. Meanwhile, NIM remained stable, showing the bank's success in maintaining the efficiency of interest operations. This study provides important insights regarding banks' financial responses and performance in facing complex economic challenges.
Prediksi Harga Emas Menggunakan Metode Long Short-Term Memory Prayudha Ragil Musthofa; Sella Monica; Ukinda Feriando Setiawan; Siti Utami; Bayu Aji Laksono
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Fluktuasi harga emas yang signifikan memerlukan prediksi yang akurat untuk mendukung pengambilan keputusan investasi dan mitigasi risiko keuangan. Penelitian ini bertujuan untuk mengembangkan model prediksi harga emas menggunakan metode Long Short-Term Memory (LSTM), yang merupakan salah satu pendekatan deep learning yang unggul dalam analisis data deret waktu. Metode penelitian menggunakan model LSTM. Model diuji dengan data uji yang terpisah untuk mengevaluasi performa berdasarkan metrik akurasi seperti Mean Squared Error (MSE) dan Mean Absolute Error (MAE). Hasil penelitian menunjukkan bahwa model LSTM mampu memprediksi harga emas dengan tingkat akurasi yang tinggi. Temuan ini mendukung penerapan LSTM sebagai alat analitik yang efektif dalam pasar keuangan dan dapat dikembangkan lebih lanjut untuk memprediksi harga komoditas lain.
Co-Authors Al Hasin Cinta Billytona Fauzatul Laily Nisa Moh Rizal Prayudha Ragil Musthofa Renny Oktafia Sella Monica Siti Utami Ukinda Feriando Setiawan Widiyanto Widiyanto