STATISTIK APLIKASI INDUSTRI

ACARA

06 – 09 Januari 2020 | Rp 8.500.000/ peserta di Bandung
10 – 13 Februari 2020 | Rp 8.500.000/ peserta di Bandung
10 – 13 Maret 2020 | Rp 8.500.000/ peserta di Bandung

Jadwal Training 2020 Selanjutnya …

LATAR BELAKANG TRAINING STATISTIK APLIKASI INDUSTRI:

Setiap proses pengukuran akan menghasilkan data pengukuran, yaitu kumpulan harga hasil pengukuran. Berdasarkan data pengukuran penjelasan seharusnya dapat disimpulkan sehingga hasil pengukuran menjadi lebih berarti, yaitu sesuai dengan tujuan pengukuran. Seperti halnya pembuatan produk maka proses pengukuran juga mengalami variasi, yang berarti hasilnya mungkin akan lain apabila proses pengukuran diulangi. Besar kecilnya perbedaan ini dipengaruhi oleh proses pengukuran (metoda, alat ukur, benda ukur, lingkungan, pengukur) dan kecermatan alat ukur.

Apabila variasi harganya adalah sedemikian rupa sehingga sulit untuk membedakannya, atau angka-angka yang harus diperiksa terlalu banyak, maka diperlukan  metoda analisis yang dapat diandalkan yang mampu menunjukkan kesamaan atau perbedaan secara lebih jelas. Keterangan mengenai seberapa jauh harga-harga pengukuran bervariasi menentukan ketepatan proses pengukuran yang bersangkutan. Sementara itu, perbedaan antara harga rata-rata dengan memperhatikan aspek variasi data pengukuran menentukan ketelitian antara ke tiga data yang diperbandingkan. Metoda untuk menganalisis harga-harga yang bervariasi telah dikenal dengan nama analisis statistika. Ilmu statistika dikembangkan menjadi metoda analisis data yang dapat diandalkan untuk menentukan kesimpulan yang sejelas mungkin dengan keraguan sesedikit mungkin. Hal ini otomatis akan mengarah pada perancangan metoda penelitian yang paling sesuai dengan masalah yang dihadapi guna menuju pada analisis data dengan keunggulan seperti yang dijanjikan.

Untuk mendukung sistem produksi yang memadai diperlukan tenaga kerja yang handal atau peningkatan keahlian tenaga kerja profesi Statistik Aplikasi Industri (Application Statistic in Industry).

TUJUAN TRAINING STATISTIK APLIKASI INDUSTRI:

Membekali peserta tentang wawasan dan pengetahuan analisis data pengukuran menggunakan metoda statistik di mana setelah mengikuti pelatihan ini, peserta diharapkan mampu:

• Memahami dan menjelaskan konsep dasar statistik teknik
• Memahami dan menjelaskan disteibusi normal
• Menjelaskan distribusi harga rata-rata
• Menjelaskan analisis perbandingan data
• Menjelaskan analisis regresi

MATERI TRAINING STATISTIK APLIKASI INDUSTRI

1.   Konsep dasar statistik teknik.

• Keandalan analisis statistika, parameter analisis statistika, pengembangan ilmu statistika.

2.   Distribusi normal.

• Harga rata-rata batas, varian teoretik, deviasi standar teoretik, persamaan matematik kurva distribusi, normal, sifat penting kurva distribusi normal, variabel standar, fungsi distribusi normal standar, fungsi distribusi komulatif standar, kurva distribusi normal standar, nilai kemungkinan komulatif, garis linier distribusi normal standar.

3.   Distribusi harga rata-rata.

• Dalil limit tengah, deviasi standar variabel, kurva distribusi normal harga rata-rata, nilai kemungkinan variabel, selang kepercayaan, limit kepercayaan, tingkat kepercayaan, karakteristik populasi variabel stokastik.

4.   Distribusi – t (student distribution).

• Variabel – t, derajat kebebasan, kurva distribusi – t, tes hipotesa, analisis aplikasi teknik.

5.   Analisis perbandingan data (analisis varian).

• Analisis perbandingan dua data (Pemeriksaan kedua harga varian sampel (Fisher Test),  fraktil distribusi rasio varian, pemeriksaan kedua harga rata-rata sampel,  fraktil distribusi – t, analisis aplikasi teknik).
• Analisis perbandingan k-data (Pemeriksaan k – varian (M.S Bartlett),  fraktil distribusi chi kuadrat, pemeriksaan k – harga rata-rata, fraktil distribusi rasio varian, perhitungan selang kepercayaan, analisis aplikasi teknik).

6.   Analisis regresi

• Analisis regresi linier tanpa pengamatan ulang (Konsep analisis regresi: kovarian, variabel bebas dan tak bebas, koefisien korelasi, analisis korelasi, Konsep analisis regresi: kovarian, variabel bebas dan tak bebas, koefisien korelasi, analisis korelasi, analisis regresi, fungsi linier teoretik dan empirik, konstanta garis linier empirik (konstanta a dan b), harga varian di sekitar garis regresi, varian dan derajat kebebasan garis empirik, selang kepercayaan garis linier empirik, langkah-langkah dan beberapa hal penting analisis regresi linier tanpa pengamatan ulang, analisis aplikasi teknik)
• Analisis regresi untuk fungsi non linier (Beberapa fungsi non linier, transformasi bentuk linier,  langkah-langkah analisis regresi fungsi non linier, analisis aplikasi teknik)
• Perbandingan dua garis regresi linier (Pemeriksaan dua varian garis regresi (Fisher Test), fraktil distribusi rasio varian, pemeriksaan kesejajaran dua garis regresi, fraktil distribusi – t, pemeriksaan kesamaan dua garis sejajar, tes perhitungan untuk data garis regresi gabungan, analisis aplikasi teknik)
• Perbandingan k-garis regresi linier (Pemeriksaan kesamaan k – varian garis regresi (Bartlett Test), fraktil distribusi chi kuadrat, pemeriksaan kesejajaran k – varian garis regresi,  fraktil distribusi rasio varian, pemeriksaan ke linieran garis regresi yang melalui k – titik tengah, fraktil distribusi – t, perhitungan untuk data garis regresi gabungan, analisis aplikasi teknik).

SIAPA SEBAIKNYA MENGIKUTI TRAINING INI? 

Para praktisi tingkat operator, tingkat penyelia atau perencana bidang statistik atau kontrol kualitas produk pada industri rekayasa.

Trainer

SUGENG ISDWIYANUDI, Ir. MT. And Team

was graduated from politeknik  universitas brawijaya malang for his diploma in mechanical engineering majoring on mechanical maintenance and repairing, from ITS Surabaya for his bachelor in mechanical engineering majoring on production engineering, and from ITB Bandung for his master program in mechanical engineering majoring on production engineering. Now he is as lecturer at mechanical engineering Politeknik Negeri Bandung(before as poltek ITB). Ir. Sugeng Isdwiyanudi, MT. has followed many trainings/courses to improve his competence. He is active instructor who often deliver training for industrial participants in Indonesia, many topics he teachs in training e.g.: pump and piping, Operation and Maintenance Boiler, Operator pressure vessel 1 (cooperated with Depnaker RI), Operation and Maintenance Centrifugal Pump, Effective Shutdown Maintenance, Reliability Centered Maintenance, Advanced Reliability Performance and Hidden Failure Supporting, Management Inventory Control, Alignment, Balancing, and Vibration, Rotating Equipment: Operation and Maintenance, Material technique, Oil Analysis, Maintenance Management (Preventive and Predictive Maintenance),Heavy Equipment Maintenance, Basic Mechanical, Strength of Material, Electro Pneumatic and Hydraulic, Rotating Equipment Alignment and Vibration, Operation and Maintenance Diesel Engine, Operation and Maintenance Boiler, Operation and Maintenance Pump and Compressor, Pressure Vessel and Tank, Preventive and Predictive Maintenance, Total Productive Maintenance (TPM), Heavy Equipment Maintenance Management, Maintenance Equipment Management for Mining, Modern Maintenance and Spare Part Management System, NDT and Quality Assurance, Integrated Material Management, Effective Production Management, Plant Life Management through Reliability Based Inspection, Maintenance Planning, Scheduling, and Coordination, Integrated Maintenance Management and Control, Implementation RCM and RBI in Industries, Total Productive Maintenance (TPM), Reliability Centered Maintenance (RCM), Operator Routine Daily Checklist and Driven Reliability, Measuring, Monitoring, and Analysis of Machinery Vibration, Vibration Prevention and Monitoring System, Advanced Application of CSI 2120/2130 and AMS Suite (RBM) for Condition Monitoring and Troubleshooting, Root Cause Failure Analysis (RCFA), NDT and Quality Assurance, Piping System.  In campus he teachs for some subjects e.g.: industrial metrology, quality control, Instrumentation and measurement, machining technique, production system and quality control, Pneumatics and hydrolics, measurement system, measuremen technique(Metrology of Geometry), mechanics vibration, management of production process, product quality control, statistics application in mechanical engineering, machining process technology, Practice of industrial metrology, pneumatics control system. In campus he has many experiences e.g.: as head of Laboratory industrial Metrology POLBAN, as head of Laboratory Metrology POLBAN, as director SPMU TPSDP POLBAN (ADB Loan 1792-INO), director assistant administration and finance SPMU TPSDP POLBAN (ADB Loan 1792-INO), head of production research group POLBAN, head of department mechanical engineering P4D, department secretary of mechanical department P4D, head of Laboratory Pneumatics and Hydrolics P4D. He invites industrial participants to share and discuss in his training class..

VENUE :  

Bandung (Golden Flower, Banana Inn, Grand Seriti, Carrcadin, Amaroossa, Grand Serela, Gino Feruci, Verona Palace, Malaka, Zodiac Taurus)

TRAINING DURATION :

4 days

JADWAL TRAINING 2020

1. 06 Jan 2020-09 Jan 2020
2. 10 Feb 2020-13 Feb 2020
3. 10 Mar 2020-13 Mar 2020
4. 13 Apr 2020-16 Apr 2020
5. 12 Mei 2020-15 Mei 2020
6. 08 Jun 2020-11 Jun 2020
7. 13 Jul 2020-16 Jul 2020
8. 10 Agust 2020-13 Agust 2020
9. 14 Sep 2020-17 Sep 2020
10. 12 Okt 2020-15 Okt 2020
11. 09 Nop 2020-12 Nop 2020
12. 14 Des 2020-17 Des 2020

INVESTATION PRICE/PERSON :

1. Rp. 8.500.000/person (full fare) or
2. Rp. 8.250.000/person (early bird, payment 1 week before training) or
3. Rp. 7.950.000/person (if there are 3 persons or more from the same company)

FACILITIES FOR PARTICIPANTS:

1. Training Module
2. Flash Disk contains training material
3. Certificate
4. Stationeries: NoteBook and Ballpoint
5. T-Shirt
6. Backpack
7. Training Photo
8. Training room with full AC facilities and multimedia
9. Lunch and twice coffeebreak everyday of training
10. Qualified instructor
11. Transportation for participants from hotel of participants to/from hotel of training (if minimal number of participants from one company is 4 persons)

APPLICATION STATISTIC IN ENGINEERING INDUSTRY

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