Iskandar, Ibrahim
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Pengaruh Bentuk Latihan Berbasis Sasaran Terhadap Peningkatan Kemampuan Forehand Drive Pemain Tenis Meja SMA N 1 Candung Iskandar, Ibrahim; arwandi, john; haryanto, jeki; setiawan, yogi
Jurnal Gladiator Vol 5 No 8 (2025): jurnal gladiator
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/gltdor2089011

Abstract

ABSTRAK Penelitian ini bertujuan untuk menentukan pengaruh bentuk latihan berbasis sasaran terhadap peningkatan kemampuan forhand drive pemain tenis meja SMA Negeri 1 Candung. Metode penelitian yang digunakan ekperimen semu dengan mengunakan bentuk latihan berbasis sasaran proses ini terdiri dari tiga tahap yaitu tahap persiapan pre-test tahap implementasi, tahap akhir post-test. Untuk penelitian ini, jumlah sampelnya adalah 10 orang siswa ektrakulikuler tenis meja SMA N 1 CANDUNG. Menganalisis data dengan uji–t Hasil menunjukan bahwa skor rata-rata 15 skor rata-rata pada tes pre-test adalah 19, dan skor rata-rata pada post-tes adalah 23. Setelah melakukan uji t, hasilnya menunjukkan bahwa t count = 2.35 > ttable = 1.833, yang menunjukkan bahwa hal ini signifikan. Oleh karena itu, dapat disimpulkan bahwa akurasi pukulan forehand drive para pemain tenis meja SMA N 1 Candung yang mendapatkan bentuk latihan berbasis sasaran telah meningkat.
Academic Data Quality Measurement in SALAM Application Using Six Sigma Method Firdaus, Imam; Alam, Cecep Nurul; Gerhana, Yana Aditia; Irfan, Mohamad; Iskandar, Ibrahim
CoreID Journal Vol. 3 No. 2 (2025): July 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i2.136

Abstract

Data quality plays a critical role in ensuring the reliability and usefulness of information for decision making in higher education institutions. However, academic data within the SALAM application at UIN Sunan Gunung Djati Bandung has not previously undergone a systematic quality assessment, leading to uncertainty in several managerial and academic decisions. This study aims to evaluate the quality of academic data in the SALAM application using the Six Sigma method with the DMAIC (Define–Measure–Analyze–Improve–Control) framework. Five data quality dimensions completeness, consistency, conformity, uniqueness, and timeliness are employed to measure and analyze data quality performance. The measurement process begins with data definition and extraction, followed by quantitative analysis using sigma metrics. The results indicate that the overall quality of academic data is at a moderate level, with an average sigma score of approximately 3, primarily influenced by incomplete and inconsistent data. In contrast, the timeliness dimension demonstrates excellent performance, achieving a sigma metric of 6 due to the long-term availability of data over more than ten years. This study contributes by providing an empirical, data-driven evaluation of academic data quality and offers practical insights for implementing continuous monitoring and improvement strategies to enhance data reliability and support more effective decision making in higher education institutions.