Sesi 07: Sampling Distributions The Power of “n”: Mengapa Sampel Kecil Bisa Memprediksi Populasi Besar 1. Types of Sampling Methods Validitas data Anda tergantung cara Anda mengambilnya. 🚫 Non-Probability (Bias) Digunakan jika tidak butuh akurasi tinggi atau data sulit didapat. Convenience: Asal ambil yang mudah (teman, keluarga). Judgment: Berdasarkan opini subjektif. ✅ Probability (Random) Wajib […]
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Sesi 05: Discrete & Continuous Distributions Memodelkan Ketidakpastian Bisnis: Dari Binomial hingga Normal Kunci sukses bab ini: Bedakan jenis datanya dulu. 1. Discrete Distributions (Hasil Menghitung) Gunakan salah satu dari tiga “senjata” ini jika data Anda berupa bilangan bulat (jumlah orang, jumlah barang): Binomial Si “Sukses vs Gagal” Ciri Utama: Hanya 2 hasil (Ya/Tidak). Jumlah
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Sesi 03: Numerical Descriptive Measures Memahami Cerita di Balik Pusat, Sebaran, dan Bentuk Data 1. Central Tendency (Pusat Data) Satu angka yang mewakili ribuan data. Pilih yang mana? Mean (Rata-rata) Rumus: X̄ = ΣX / n Sensitif terhadap Outlier. Median (Nilai Tengah) Posisi data ke-50% Kebal terhadap Outlier. Cocok untuk Gaji/Properti. Mode (Modus) Paling sering
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MASTER GUIDE: Statistika Bisnis & Visualisasi Data Panduan lengkap untuk Mahasiswa, Periset, dan Profesional. Daftar Isi Bagian 1: Peta Konsep (Mind Map) Bagian 2: Modul Pembelajaran Bagian 3: Panduan Praktis Profesional Bagian 4: Tutorial Teknis Excel 🗺️ Bagian 1: Peta Konsep (Mind Map) Gambaran besar alur berpikir statistika dari definisi hingga visualisasi. 1. Definisi &
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A Cause-and-Effect Diagram, also known as an Ishikawa or fishbone diagram, is a visual tool used for root cause analysis. It helps teams identify, sort, and display all the possible causes of a specific problem (the “effect”) by graphically categorizing them into related areas. Purpose and Benefits The primary goal of a cause-and-effect diagram is to go beyond the symptoms of
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Mengapa Manajemen Mutu Menjadi Fondasi Keunggulan Organisasi 1. Pengantar: Mengapa Mata Kuliah Quality Management Penting Quality Management sering disalahpahami sebagai mata kuliah teknis yang hanya relevan bagi manufaktur atau bagian Quality Control. Dalam kenyataannya, mutu merupakan isu strategis lintas fungsi yang memengaruhi kinerja, reputasi, dan keberlanjutan organisasi. Organisasi modern—baik manufaktur, jasa, digital platform, maupun sektor
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EN | ID Learning from the Best to Improve PerformanceBelajar dari yang Terbaik untuk Meningkatkan Kinerja 🇬🇧 Part A — English Version Introduction: Improvement Does Not Start from Zero Organizations do not improve in isolation. In a competitive and interconnected world, improvement often begins by learning from others who already perform better. This is the
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EN | ID From Concept to PracticeDari Konsep ke Praktik Nyata 🇬🇧 Part A — English Version Introduction: Why TQM Fails—or Succeeds Many organizations understand the principles of Total Quality Management (TQM), yet far fewer succeed in implementing it effectively. The gap lies not in knowledge, but in execution. TQM is not a checklist, a
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EN | ID Producing What Is Needed, When It Is NeededMemproduksi Apa yang Dibutuhkan, Saat Dibutuhkan 🇬🇧 Part A — English Version Introduction: Speed, Discipline, and Quality Just-In-Time (JIT) Manufacturing is often misunderstood as merely a technique to reduce inventory. In reality, JIT is a management philosophy that tightly integrates production, quality, and continuous improvement.
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Language:EN | ID Leave a Comment / Project Management / By aurinodjamaris@gmail.com 🇬🇧 Continual Improvement as an Organizational Discipline Introduction: Improvement Is a Discipline, Not an Event In Quality Management, improvement is not a one-time initiative or a special project. It is a discipline—a structured and continuous effort to reduce waste, minimize variation, and increase
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