The monthly report summarizes delivery and growth statistics for several areas from September 26 to October 25, 2021. Total deliveries were 35,577, with 2,857 late deliveries (7.99% late rate). The area with the highest number of deliveries was Modernland Tangcity Cikokol at 38,584 deliveries and the lowest on-time delivery percentage was Nerogtog Sudimara at 60%. Overall, deliveries increased 3.91% compared to the previous month while late deliveries decreased 11.69%.
This monthly report summarizes delivery statistics from October 26 to November 25, 2021 across several areas. Overall, 67.48% of orders were delivered on time, with delivery and late orders totaling 287,957 and 93,655 respectively. Delivery and late order averages per week were 71,989 and 23,414. When compared to the previous month, total deliveries increased by 2.05% while late orders decreased by 9.08%. The report also provides statistics on individual areas and delivery drivers, including on-time delivery percentages.
The document provides information on Turkey's economy and advantages for trade and investment. Some key points:
- Turkey has the 16th largest economy in the world and 6th largest in Europe. It has a large youth population and is a major steel producer.
- Turkish Airlines is one of the fastest growing and best airlines in Europe, carrying over 29 million passengers in 2010. Turkish airports see over 100 million passengers annually.
- The document lists Turkey as a major reason to invest, citing its strategic location and market size and growth potential.
The document contains tables of composite leading indicator data for various geographic regions from August 2013 to July 2014. It includes the month-on-month, year-on-year growth rates and amplitude adjusted figures for total OECD countries, major countries/regions such as the US, Eurozone, and others. The data shows the trend of leading indicators in these areas over the past year with most seeing slowing growth or declines in the most recent months.
Spring (77386) Home Sales Report - October 2015Ken Brand
This report summarizes home sales data for Spring, TX from September 2013 through September 2015. It shows that over this period the average home sales price was $268,887, the median was $41,367, and average days on market was 84.6 days. The average price per square foot was $117 and months supply of inventory was 1.04 months.
Analytics at Atlanta Police FoundationPeter Molnar
The document discusses opportunities and challenges around big data as well as potential use cases. It outlines plans for an Atlanta Police Foundation Technology Innovation Center that would serve as a platform for collaboration between the police department, other agencies, private sector partners, and academic institutions. It would work to develop best practices, provide access to technologies and analytics services, and help shape policing innovation through pilot programs. Current police record management systems are noted as not being designed for analytics and having data quality issues. Statistics on crime rates in Atlanta are also presented.
MONTHLY REPORT DC CIPONDOH (OKTOBER - NOVEMBER)DCCIPONDOHTGR63
This monthly report summarizes delivery statistics from October 26 to November 25, 2021 across several areas. Overall, 67.48% of orders were delivered on time, with delivery and late orders totaling 287,957 and 93,655 respectively. Delivery and late order averages per week were 71,989 and 23,414. When compared to the previous month, total deliveries increased by 2.05% while late orders decreased by 9.08%. The report also provides statistics for individual areas like Banjar Buaran Tanah Tinggi which had a 61.06% on-time delivery rate. Sprinter performance statistics are given as well.
This document provides data on educational attainment levels for residents aged 25 and older across various census tracts, including:
- The percentage of residents with a high school diploma or higher, their ranking among census tracts, and the percentage with a college degree or higher and their ranking.
- Census tracts range in population from 546 to 11,743 residents aged 25 and older.
- Educational attainment levels vary significantly across census tracts, with percentages of high school graduates ranging from 8% to 100% and percentages of college graduates ranging from 1.5% to 40.9%.
The document shows performance metrics for various customer service representatives over a period from May 11th to June 9th, including average handle time, transfers percentage, and percentages of honored commitments. Most representatives had average handle times between 4 to 8 minutes, transfers percentages between 20-40%, and over 90% of commitments honored. However, a few outliers had higher or lower values in some metrics.
This monthly report summarizes delivery statistics from October 26 to November 25, 2021 across several areas. Overall, 67.48% of orders were delivered on time, with delivery and late orders totaling 287,957 and 93,655 respectively. Delivery and late order averages per week were 71,989 and 23,414. When compared to the previous month, total deliveries increased by 2.05% while late orders decreased by 9.08%. The report also provides statistics on individual areas and delivery drivers, including on-time delivery percentages.
The document provides information on Turkey's economy and advantages for trade and investment. Some key points:
- Turkey has the 16th largest economy in the world and 6th largest in Europe. It has a large youth population and is a major steel producer.
- Turkish Airlines is one of the fastest growing and best airlines in Europe, carrying over 29 million passengers in 2010. Turkish airports see over 100 million passengers annually.
- The document lists Turkey as a major reason to invest, citing its strategic location and market size and growth potential.
The document contains tables of composite leading indicator data for various geographic regions from August 2013 to July 2014. It includes the month-on-month, year-on-year growth rates and amplitude adjusted figures for total OECD countries, major countries/regions such as the US, Eurozone, and others. The data shows the trend of leading indicators in these areas over the past year with most seeing slowing growth or declines in the most recent months.
Spring (77386) Home Sales Report - October 2015Ken Brand
This report summarizes home sales data for Spring, TX from September 2013 through September 2015. It shows that over this period the average home sales price was $268,887, the median was $41,367, and average days on market was 84.6 days. The average price per square foot was $117 and months supply of inventory was 1.04 months.
Analytics at Atlanta Police FoundationPeter Molnar
The document discusses opportunities and challenges around big data as well as potential use cases. It outlines plans for an Atlanta Police Foundation Technology Innovation Center that would serve as a platform for collaboration between the police department, other agencies, private sector partners, and academic institutions. It would work to develop best practices, provide access to technologies and analytics services, and help shape policing innovation through pilot programs. Current police record management systems are noted as not being designed for analytics and having data quality issues. Statistics on crime rates in Atlanta are also presented.
MONTHLY REPORT DC CIPONDOH (OKTOBER - NOVEMBER)DCCIPONDOHTGR63
This monthly report summarizes delivery statistics from October 26 to November 25, 2021 across several areas. Overall, 67.48% of orders were delivered on time, with delivery and late orders totaling 287,957 and 93,655 respectively. Delivery and late order averages per week were 71,989 and 23,414. When compared to the previous month, total deliveries increased by 2.05% while late orders decreased by 9.08%. The report also provides statistics for individual areas like Banjar Buaran Tanah Tinggi which had a 61.06% on-time delivery rate. Sprinter performance statistics are given as well.
This document provides data on educational attainment levels for residents aged 25 and older across various census tracts, including:
- The percentage of residents with a high school diploma or higher, their ranking among census tracts, and the percentage with a college degree or higher and their ranking.
- Census tracts range in population from 546 to 11,743 residents aged 25 and older.
- Educational attainment levels vary significantly across census tracts, with percentages of high school graduates ranging from 8% to 100% and percentages of college graduates ranging from 1.5% to 40.9%.
The document shows performance metrics for various customer service representatives over a period from May 11th to June 9th, including average handle time, transfers percentage, and percentages of honored commitments. Most representatives had average handle times between 4 to 8 minutes, transfers percentages between 20-40%, and over 90% of commitments honored. However, a few outliers had higher or lower values in some metrics.
The document contains metrics for multiple customer service representatives over a date range from 5/25/19 to 6/23/19, including number of calls handled, average handle time, percentage of calls transferred, number of commitments honored, and percentage of commitments honored. Most representatives handled between 50-500 calls, had average handle times between 4-10 minutes, transferred 20-40% of calls, honored 80-100% of commitments. Overall performance was strong across the board with high commitment honor percentages and most representatives transferring less than 40% of calls and spending less than 10 minutes per call on average.
This document provides a table summarizing student exam scores across subjects in the 108th academic year. It shows the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores. For each subject, over 45,000 students took the exams. The majority scored between 40-60, with less than 5% scoring below 30 or above 80.
This document provides a summary of water quality testing data from various states in India between April 1, 2023 and September 16, 2023. It includes the number of water sources, villages, schools, and households tested for chemical and bacteriological parameters using labs or field test kits. It also provides the number of women trained to use the test kits, samples found contaminated, and remedial measures taken for contaminated sources. The data shows that over 50% of sources and 38% of villages were tested, with over 70% of reported contaminated samples receiving remedial action.
This document provides statistics on exam scores from the 109th academic year designated subject exams in tabular form. It shows the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores. For example, it shows that 0 students scored 100, but 100% of students scored between 50-99.99. It then breaks down performance by 0.5 point increments within subjects like Chinese, English, and Math.
- The document provides admissions statistics for the NU UPC program from 2010 to 2014, including the number of applicants, exam takers who met admission criteria, accepted students, and their academic honors and scores.
- It shows the numbers of accepted students by NU schools, subjects, and gender each year. Average scores on admission exams and IELTS are also listed.
- Regional admissions statistics are given, with the highest numbers of accepted students coming from East Kazakhstan, Astana city, and Almaty city each year.
The document appears to be statistics on exam scores from the 106th academic year for unspecified subjects. It provides data on the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores. For example, it shows that for scores from 100-100.99, 1 student scored in that range, making up 0% of the total 45,290 students.
SPX (1990-2012) - Long Straddle, Strangle & Deep OTMStefan Bolta
The document provides annual return and risk data for a straddle normal trading strategy compared to the S&P 500 and risk-free Treasury bonds from 1990 to 1997. It shows the straddle normal strategy achieved higher average annual returns than the S&P 500 in most years, ranging from 2.14% to 44.34%, with higher risk as measured by standard deviation and maximum drawdowns.
This document provides statistics on exam scores from the 107th academic year designated subject exams in tabular form. It shows the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores and lowest to highest scores, for Chinese, English, and Mathematics. Over 47,000 students took each exam, with most scoring between 40-60, and fewer students at the highest and lowest ends of the score ranges.
The document appears to be a provisional merit list of candidates for admissions to undergraduate and postgraduate pharmacy programs in Maharashtra. It includes the candidate application ID, name, scores/percentiles in the NEET or other entrance exam, and percentages in subjects and overall in higher secondary school (HSC). The top candidate scored over 99.9% in NEET and over 95% in HSC subjects and overall.
The document provides admissions statistics for Nazarbayev University's Foundation Year Program from 2010 to 2015. It summarizes the number of applicants, exam takers meeting admission criteria, accepted students, and breakdowns of accepted students by academic program, entrance exam subjects, IELTS scores, regions of Kazakhstan, and gender each year. The number of applicants and admitted students generally increased over time, as did average entrance exam scores. The School of Engineering was the most popular program choice. Most students came from Astana, Almaty, and South Kazakhstan regions.
The document provides admissions statistics for Nazarbayev University Foundation Year Programme (NUFYP) from 2010 to 2017. It summarizes the number of applicants, exam takers who met admission criteria, and students accepted each year. It also breaks down admission numbers and test scores by subject, region, gender, and NU school. The number of applicants and exam takers generally decreased from 2010 to 2017 while the number accepted fluctuated between 484 and 706. Engineering was the most popular school for admitted students throughout this period.
How Raila and Kalonzo Could Win in The First RoundMAKODINGO
If voter turnout remains at 74.1%:
- Raila and Kalonzo would win a majority of votes in Nyanza, Western, and Coast regions, gaining over 50% of votes in Nyanza and over 70% in Coast and Western.
- They would gain between 14-76% of votes in other regions, with their lowest share in Central region.
- Overall across Kenya, they would gain approximately 50.5% of the total vote, enough for a victory.
Cycle 223 Active Duty Advancement Quotas Spring 2014NavyMentor.org
The document contains data on eligibility ratings, numbers of eligible candidates, quotas, and opportunities across various job codes for multiple years. There are statistics listed for each job code that include percentages of eligible candidates, quotas filled, and opportunities filled. The data provides insights into hiring trends for different roles over multiple time periods.
The document provides admissions statistics for Nazarbayev University Foundation Year Programme (NUFYP) from 2010 to 2017. It summarizes the number of applicants, exam takers who met admission criteria, and students accepted each year. It also breaks down admission numbers and test scores by gender, region of Kazakhstan, and NU school. The number of applicants and exam takers generally decreased from 2010 to 2017 while the number accepted fluctuated between 484 and 706.
This document provides preliminary election results from the October 23, 2011 general elections in Argentina. It shows the results for each province as well as the overall national results. The results show that FPV received the most votes nationally at 54.11%, followed by FAP at 16.8% and UDESO at 11.14%. A total of 22,955,070 votes were counted across the country.
1) The document compares malaria testing and cases statistics from January to August 2022 vs 2023 and July-August 2022 vs 2023 in Kalahandi district. It shows the percentage increase/decrease in testing and cases across different Community Health Centers.
2) It also provides year-wise malaria epidemiological data from 2010 to 2023 (till August) and a graph showing the trend of positive cases from 2016 to 2023.
3) Subcentre-wise data on high burden areas from January to August 2023 is presented, listing the top 25 subcentres by total malaria cases.
4) Abstract data on hydrocele and lymphedema cases across different facilities in the district as of the
This document provides statistics from the WBJEEM 2014 exam in multiple categories:
- 139,640 candidates appeared across categories of Civil Engineering (C), Mechanical Engineering (M), and Total. 77826 candidates were eligible for counseling in Engineering.
- In Medical, 44,433 candidates were eligible for counseling out of 63,330 total appearances.
- District-wise statistics are provided for Engineering, Medical, and Pharmacy streams, showing figures for total enrolled, appeared, and eligible candidates in each district for different demographic groups.
#WeeklyNewspaper
RBI increases household income limit for borrowers for NBFCs and MFIs. Demystify Technical Analysis with #Findoc Prime and learn the trade secrets.
Stay updated
https://www.myfindoc.com/research/newspaper
#sharemarket #mutualfunds #trading #stocks #SBI #FinDoc #Gurupurab #GuruNanakDevji
This document provides availability data for equipment from September 1, 2016 to June 31, 2017. It lists 22 pieces of equipment (identified as MO06 through TO22) and includes statistics on their effective and operational demand, availability, utilization rates, and time spent in various maintenance states over the reporting period.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
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The document contains metrics for multiple customer service representatives over a date range from 5/25/19 to 6/23/19, including number of calls handled, average handle time, percentage of calls transferred, number of commitments honored, and percentage of commitments honored. Most representatives handled between 50-500 calls, had average handle times between 4-10 minutes, transferred 20-40% of calls, honored 80-100% of commitments. Overall performance was strong across the board with high commitment honor percentages and most representatives transferring less than 40% of calls and spending less than 10 minutes per call on average.
This document provides a table summarizing student exam scores across subjects in the 108th academic year. It shows the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores. For each subject, over 45,000 students took the exams. The majority scored between 40-60, with less than 5% scoring below 30 or above 80.
This document provides a summary of water quality testing data from various states in India between April 1, 2023 and September 16, 2023. It includes the number of water sources, villages, schools, and households tested for chemical and bacteriological parameters using labs or field test kits. It also provides the number of women trained to use the test kits, samples found contaminated, and remedial measures taken for contaminated sources. The data shows that over 50% of sources and 38% of villages were tested, with over 70% of reported contaminated samples receiving remedial action.
This document provides statistics on exam scores from the 109th academic year designated subject exams in tabular form. It shows the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores. For example, it shows that 0 students scored 100, but 100% of students scored between 50-99.99. It then breaks down performance by 0.5 point increments within subjects like Chinese, English, and Math.
- The document provides admissions statistics for the NU UPC program from 2010 to 2014, including the number of applicants, exam takers who met admission criteria, accepted students, and their academic honors and scores.
- It shows the numbers of accepted students by NU schools, subjects, and gender each year. Average scores on admission exams and IELTS are also listed.
- Regional admissions statistics are given, with the highest numbers of accepted students coming from East Kazakhstan, Astana city, and Almaty city each year.
The document appears to be statistics on exam scores from the 106th academic year for unspecified subjects. It provides data on the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores. For example, it shows that for scores from 100-100.99, 1 student scored in that range, making up 0% of the total 45,290 students.
SPX (1990-2012) - Long Straddle, Strangle & Deep OTMStefan Bolta
The document provides annual return and risk data for a straddle normal trading strategy compared to the S&P 500 and risk-free Treasury bonds from 1990 to 1997. It shows the straddle normal strategy achieved higher average annual returns than the S&P 500 in most years, ranging from 2.14% to 44.34%, with higher risk as measured by standard deviation and maximum drawdowns.
This document provides statistics on exam scores from the 107th academic year designated subject exams in tabular form. It shows the number and percentage of students who scored within given ranges, cumulatively from the highest to lowest scores and lowest to highest scores, for Chinese, English, and Mathematics. Over 47,000 students took each exam, with most scoring between 40-60, and fewer students at the highest and lowest ends of the score ranges.
The document appears to be a provisional merit list of candidates for admissions to undergraduate and postgraduate pharmacy programs in Maharashtra. It includes the candidate application ID, name, scores/percentiles in the NEET or other entrance exam, and percentages in subjects and overall in higher secondary school (HSC). The top candidate scored over 99.9% in NEET and over 95% in HSC subjects and overall.
The document provides admissions statistics for Nazarbayev University's Foundation Year Program from 2010 to 2015. It summarizes the number of applicants, exam takers meeting admission criteria, accepted students, and breakdowns of accepted students by academic program, entrance exam subjects, IELTS scores, regions of Kazakhstan, and gender each year. The number of applicants and admitted students generally increased over time, as did average entrance exam scores. The School of Engineering was the most popular program choice. Most students came from Astana, Almaty, and South Kazakhstan regions.
The document provides admissions statistics for Nazarbayev University Foundation Year Programme (NUFYP) from 2010 to 2017. It summarizes the number of applicants, exam takers who met admission criteria, and students accepted each year. It also breaks down admission numbers and test scores by subject, region, gender, and NU school. The number of applicants and exam takers generally decreased from 2010 to 2017 while the number accepted fluctuated between 484 and 706. Engineering was the most popular school for admitted students throughout this period.
How Raila and Kalonzo Could Win in The First RoundMAKODINGO
If voter turnout remains at 74.1%:
- Raila and Kalonzo would win a majority of votes in Nyanza, Western, and Coast regions, gaining over 50% of votes in Nyanza and over 70% in Coast and Western.
- They would gain between 14-76% of votes in other regions, with their lowest share in Central region.
- Overall across Kenya, they would gain approximately 50.5% of the total vote, enough for a victory.
Cycle 223 Active Duty Advancement Quotas Spring 2014NavyMentor.org
The document contains data on eligibility ratings, numbers of eligible candidates, quotas, and opportunities across various job codes for multiple years. There are statistics listed for each job code that include percentages of eligible candidates, quotas filled, and opportunities filled. The data provides insights into hiring trends for different roles over multiple time periods.
The document provides admissions statistics for Nazarbayev University Foundation Year Programme (NUFYP) from 2010 to 2017. It summarizes the number of applicants, exam takers who met admission criteria, and students accepted each year. It also breaks down admission numbers and test scores by gender, region of Kazakhstan, and NU school. The number of applicants and exam takers generally decreased from 2010 to 2017 while the number accepted fluctuated between 484 and 706.
This document provides preliminary election results from the October 23, 2011 general elections in Argentina. It shows the results for each province as well as the overall national results. The results show that FPV received the most votes nationally at 54.11%, followed by FAP at 16.8% and UDESO at 11.14%. A total of 22,955,070 votes were counted across the country.
1) The document compares malaria testing and cases statistics from January to August 2022 vs 2023 and July-August 2022 vs 2023 in Kalahandi district. It shows the percentage increase/decrease in testing and cases across different Community Health Centers.
2) It also provides year-wise malaria epidemiological data from 2010 to 2023 (till August) and a graph showing the trend of positive cases from 2016 to 2023.
3) Subcentre-wise data on high burden areas from January to August 2023 is presented, listing the top 25 subcentres by total malaria cases.
4) Abstract data on hydrocele and lymphedema cases across different facilities in the district as of the
This document provides statistics from the WBJEEM 2014 exam in multiple categories:
- 139,640 candidates appeared across categories of Civil Engineering (C), Mechanical Engineering (M), and Total. 77826 candidates were eligible for counseling in Engineering.
- In Medical, 44,433 candidates were eligible for counseling out of 63,330 total appearances.
- District-wise statistics are provided for Engineering, Medical, and Pharmacy streams, showing figures for total enrolled, appeared, and eligible candidates in each district for different demographic groups.
#WeeklyNewspaper
RBI increases household income limit for borrowers for NBFCs and MFIs. Demystify Technical Analysis with #Findoc Prime and learn the trade secrets.
Stay updated
https://www.myfindoc.com/research/newspaper
#sharemarket #mutualfunds #trading #stocks #SBI #FinDoc #Gurupurab #GuruNanakDevji
This document provides availability data for equipment from September 1, 2016 to June 31, 2017. It lists 22 pieces of equipment (identified as MO06 through TO22) and includes statistics on their effective and operational demand, availability, utilization rates, and time spent in various maintenance states over the reporting period.
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Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
This presentation by Katharine Kemp, Associate Professor at the Faculty of Law & Justice at UNSW Sydney, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by Tim Capel, Director of the UK Information Commissioner’s Office Legal Service, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
The importance of sustainable and efficient computational practices in artificial intelligence (AI) and deep learning has become increasingly critical. This webinar focuses on the intersection of sustainability and AI, highlighting the significance of energy-efficient deep learning, innovative randomization techniques in neural networks, the potential of reservoir computing, and the cutting-edge realm of neuromorphic computing. This webinar aims to connect theoretical knowledge with practical applications and provide insights into how these innovative approaches can lead to more robust, efficient, and environmentally conscious AI systems.
Webinar Speaker: Prof. Claudio Gallicchio, Assistant Professor, University of Pisa
Claudio Gallicchio is an Assistant Professor at the Department of Computer Science of the University of Pisa, Italy. His research involves merging concepts from Deep Learning, Dynamical Systems, and Randomized Neural Systems, and he has co-authored over 100 scientific publications on the subject. He is the founder of the IEEE CIS Task Force on Reservoir Computing, and the co-founder and chair of the IEEE Task Force on Randomization-based Neural Networks and Learning Systems. He is an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
This presentation by Professor Giuseppe Colangelo, Jean Monnet Professor of European Innovation Policy, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
3. PERTUMBUHAN ALL AREA
26 SEPTEMBER - 25 OKTOBER 2021
94945
84873
117048
60872
6436
7377
9367
14996
+
14.62%
-
10.61%
+
37.91%
+
26.98%
+
60.09%
-
47.99%
RATA – RATA DELIVERY PERMINGGU
89435
RATA – RATA LATE PERMINGGU
9544
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
388697
402059
357738
JUL - AUG AUG - SEPT SEPT - OCT
41140
27314
38176
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
382831
RATA – RATA LATE PERBULAN
35543
+
37.91%
-
11.02%
-
33.61%
+
39.77%
4. 90.01%
9.99%
DELIVERY
28591
STATISTIK BANJAR BUARAN TANAH TINGGI
26 SEPTEMBER - 25 OKTOBER 2021
3904
(13.65%)
204
(7.14%)
94.77
%
Munawar
Haris
OFF : 3
2760
(9.65%)
139
(4.87%)
94.96
%
Hayoo_bahn
i Razef R
OFF : 6
3012
(10.53%)
213
(7.46%)
92.93
%
Hayoo_priya
tna
OFF : 3
3255
(11.38%)
1129
(39.52%)
65.31
%
Tedjo_jepri
Priatna
OFF : 5
699
(2.44%)
81
(2.84%)
88.41
%
Hayoo_mah
mudin
OFF : 5
(RESIGN)
2857
25734
919
(3.21%)
155
(5.43%)
83.13
%
Raffa_lyan
Yan
OFF : 4
55
(0.19%)
23
(0.81%)
58.18
%
Tedjo_fitran
to Dwi S
(RESIGN)
3347
(11.71%)
328
(11.48%)
90.20
%
Tedjo_hairul
Hasan B
OFF : 6
3277
(11.46%)
77
(2.70%)
97.65
%
Putra
Aditiya N
OFF : 5
3134
(10.96%)
129
(4.52%)
95.88
%
Adi
Setiawan
OFF : 6
4118
(14.40%)
145
(5.08%)
96.48
%
Teguh
Robiyansyah
OFF : 3
724
(2.53%)
234
(8.19%)
67.68
%
Raffa_ismail OFF : 4
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
5. PERTUMBUHAN BANJAR BUARAN TANAH TINGGI
26 SEPTEMBER - 25 OKTOBER 2021
128
2
9
6
Teguh
Robiyansyah
-
-
41
40
Hayoo_mahm
udin
94
46
29
35
Munawar
Haris
115
2
15
7
Hayoo_bahni
Razef R
122
48
43
0
Hayoo_priyat
na
278
60
357
434
Tedjo_jepri
Priatna
98
10
6
15
Adi Setiawan
45
8
2
22
Putra Aditiya
N
1
22
135
170
Tedjo_hairul
Hasan B
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
749
1002
1088
1279
Teguh
Robiyansyah
-
-
381
317
Hayoo_mahm
udin
481
1352
1035
1036
Munawar
Haris
630
789
675
666
Hayoo_bahni
Razef R
792
742
716
762
Hayoo_priyat
na
715
1009
674
736
Adi Setiawan
338
1189
800
950
Putra Aditiya
N
464
1155
799
929
Tedjo_hairul
Hasan B
723
914
738
880
Tedjo_jepri
Priatna
7555
6961
9183
4892
-
7.86%
+
31.92
%
-
46.73
%
729
660
409
1059
-
9.47%
-
38.03
%
+
158.92
%
RATA – RATA DELIVERY PERMINGGU
7148
RATA – RATA LATE PERMINGGU
714
31156
32374
28591
JUL - AUG AUG - SEPT SEPT - OCT
6026
2186
2857
JUL - AUG AUG - SEPT SEPT - OCT
+
3.91%
-
11.69
%
RATA – RATA DELIVERY PERBULAN
30707
-
63.72
%
+
30.70
%
RATA – RATA LATE PERBULAN
3690
6. 86.11%
13.89%
DELIVERY
20296
2820
17476
STATISTIK KOTA
26 SEPTEMBER - 25 OKTOBER 2021
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
2699
(13.30%)
253
(8.97%)
90.63
%
Rangga
Wulung
OFF : 5
SAKIT : 3
1786
(8.80%)
822
(29.15%)
53.98
%
Tedjo_andik
a Gunawan
(RESIGN)
3577
(17.62%)
139
(4.93%)
96.11
%
Rudiansah
OFF : 5
3551
(17.50%)
125
(4.43%)
96.48
%
Rian
Setiyana
OFF : 3
2539
(12.51%)
211
(7.48%)
91.69
%
Tedjo_iryan
Mija
OFF : 4
(RESIGN)
377
(1.86%)
25
(0.89%)
93.37
%
Tedjo_muha
mmad Arif
OFF : 4
2996
(14.76%)
208
(7.38%)
93.06
%
Octa Candra
Pratama
OFF : 5
2467
(12.16%)
884
(31.35%)
64.17
%
Tedjo_ilham
Maulana
OFF : 6
482
(2.37%)
153
(5.43%)
68.26
%
Tedjo_aan
Andriani
OFF : 5
7. PERTUMBUHAN KOTA
26 SEPTEMBER - 25 OKTOBER 2021
89
36
10
4
Rudiansah
67
86
24
76
Rangga
Wulung
-
98
449
275
Tedjo_andika
Gunawan
112
1
7
5
Rian Setiyana
-
103
37
71
Tedjo_iryan
Mija
29
125
22
32
Octa Candra
Pratama
229
417
139
99
Tedjo_ilham
Maulana
-
-
6
19
Tedjo_muham
mad Arif
693
1399
755
730
Rudiansah
297
1104
688
610
Rangga
Wulung
-
132
904
750
Tedjo_andika
Gunawan
579
1054
877
1041
Rian Setiyana
-
1089
682
768
Tedjo_iryan
Mija
284
1198
660
854
Octa Candra
Pratama
490
729
643
605
Tedjo_ilham
Maulana
-
-
63
314
Tedjo_muham
mad Arif
5672
5272
7009
2521
-
0.99%
+
32.95
%
-
64.03
%
RATA – RATA DELIVERY PERMINGGU
5119
581
694
965
580
+
27.02
%
+
39.05
%
-
39.90
%
RATA – RATA LATE PERMINGGU
705
23936 24770
20296
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
23001
2715
3141
2820
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
2892
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
-
18.06
%
+
3.48%
-
10.22
%
+
15.69
%
8. 93.61%
6.39%
DELIVERY
38584
2466
36118
STATISTIK MODERNLAND TANGCITY CIKOKOL
26 SEPTEMBER - 25 OKTOBER 2021
4072
(10.55%)
143
(5.80%)
96.49
%
Darwis
OFF : 3
4156
(10.77%)
241
(9.77%)
94.20
%
Saipi
OFF : 3
1250
(3.24%)
119
(4.83%)
90.48
%
Febry Ilham
Permana
OFF : 2
(RESIGN)
3379
(8.76%)
329
(13.34%)
90.26
%
Muhamad
Agung G
OFF : 5
3622
(9.39%)
34
(1.38%)
99.06
%
Egi Kusuma
OFF : 3
3130
(8.11%)
172
(6.97%)
94.50
%
Mardian
OFF : 5
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
2938
(7.61%)
390
(15.82%)
86.73
%
Hayoo_rusy
andi
OFF : 8
3943
(10.22%)
291
(11.80%)
92.62
%
MUHTURIDI
OFF : 3
SKD : 2
3912
(10.14%)
152
(6.16%)
96.11
%
Rambi
Kurniadi
OFF : 3
3407
(8.83%)
308
(12.49%)
90.96
%
Daryanto OFF : 4
1618
(4.19%)
272
(11.03%)
83.19
%
Raffa_febry
Ilham
OFF : 6
3507
(9.09%)
15
(0.61%)
99.57
%
Dicky
Anwarisyah
OFF : 3
9. PERTUMBUHAN MODERNLAND TANGCITY CIKOKOL
26 SEPTEMBER - 25 OKTOBER 2021
142
21
4
5
Mardian
25
4
3
2
Egi Kusuma
172
66
52
39
Muhamad
Agung G
135
3
4
1
Darwis
194
6
21
20
Saipi
-
-
73
46
Febry Ilham
Permana
0
2
6
7
Dicky
Anwarisyah
221
22
50
15
Daryanto
136
5
8
3
Rambi
Kurniadi
239
24
10
18
MUHTURIDI
44
130
120
96
Hayoo_rusyan
di
113
104
55
96
Raffa_febry
Ilham
435
1115
710
870
Mardian
623
1321
645
1033
Egi Kusuma
579
1013
839
948
Muhamad
Agung G
706
1392
866
1108
Darwis
708
1391
1088
969
Saipi
-
-
341
903
Febry Ilham
Permana
488
1055
847
1117
Dicky
Anwarisyah
637
1210
850
710
Daryanto
687
1332
872
1021
Rambi
Kurniadi
836
1397
710
1000
MUHTURIDI
451
947
845
695
Hayoo_rusyan
di
350
895
373
695
Raffa_febry
Ilham
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
10374
8986
13074
6500
-
13.38
%
+
45.49
%
-
50.28
%
RATA – RATA DELIVERY PERMINGGU
9734
252
406 387
1421
+
61.11
%
-
4.68%
+
267.18
%
RATA – RATA LATE PERMINGGU
617
44469
43183
38584
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
42079
3430
1008
2466
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
2301
-
2.89
%
-
10.65
%
-
70.61
%
+
144.64
%
10. 91.95%
8.05%
DELIVERY
49115
45160
STATISTIK MAULANA PORIS CIMAK
26 SEPTEMBER - 25 OKTOBER 2021
2252
(4.59%)
794
(20.08%)
64.74
%
Hayoo_ima
m Agus Fais
OFF : 10
4884
(9.94%)
393
(9.94%)
91.95
%
Ruswoyo OFF : 2
3794
(7.72%)
199
(5.03%)
94.75
%
Hayoo_fahr
ul Azmi
OFF : 6
3773
(7.68%)
138
(3.49%)
96.34
%
Racel
Muhammad
Prian
OFF : 4
4333
(8.82%)
112
(2.83%)
97.42
%
Dian
Rusdiana
OFF : 3
2566
(5.22%)
645
(16.31%)
74.86
%
Tedjo_anjas
Asmara
OFF : 3
3023
(6.15%)
502
(12.69%)
83.39
%
Hayoo_sigit
Arya Wig
OFF : 8
4434
(9.03%)
242
(6.12%)
94.54
%
Muhamad
Wildan A
OFF : 4
4232
(8.62%)
153
(3.87%)
96.38
%
Yolan
Andrian
OFF : 3
SKD : 1
4305
(8.77%)
200
(5.06%)
95.35
%
Januar
Sobri
OFF : 3
4022
(8.19%)
65
(1.64%)
98.38
%
Boby
Irawan
OFF : 2
4026
(8.20%)
30
(0.76%)
99.25
%
Erik
Rahmawan
OFF : 3
SKD : 1
3471
(7.07%)
482
(12.19%)
86.11
%
Arif Rahman
Nur S
OFF : 3
3955
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
11. PERTUMBUHAN MAULANA PORIS CIMAK
26 SEPTEMBER - 25 OKTOBER 2021
204
134
61
83
Arif Rahman
Nur S
4
15
9
2
Erik
Rahmawan
19
23
9
14
Boby Irawan
155
12
5
28
Januar Sobri
216
161
88
37
Hayoo_sigit
Arya Wig
152
24
1
65
Muhamad
Wildan A
143
9
1
0
Yolan Andrian
107
16
3
12 Racel
Muhammad
Prian
119
52
1
27
Hayoo_fahrul
Azmi
294
57
11
31
Ruswoyo
203
258
250
83
Hayoo_imam
Agus Fais
83
3
15
11
Dian Rusdiana
405
110
94
36
Tedjo_anjas
Asmara
796
1107
674
894
Arif Rahman
Nur S
780
1120
980
1146
Erik
Rahmawan
908
1493
828
793
Boby Irawan
855
1298
930
1222
Januar Sobri
527
857
843
796
Hayoo_sigit
Arya Wig
834
1421
837
1342
Muhamad
Wildan A
760
1472
973
1027
Yolan Andrian
835
1266
809
863
Racel
Muhammad
Prian
829
1073
762
1130
Hayoo_fahrul
Azmi
935
1568
1011
1370
Ruswoyo
487
706
759
300
Hayoo_imam
Agus Fais
795
1476
782
1280
Dian Rusdiana
641
975
708
242
Tedjo_anjas
Asmara
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
12405
10896
15832
9982
-
36.95%
+
45.30%
-
12.16%
429
548
874
2104
+
27.74%
+
59.49%
+
140.73
%
RATA – RATA DELIVERY PERMINGGU
12279
RATA – RATA LATE PERMINGGU
989
50243
51207
49115
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
50188
3636
2943
3955
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
3511
+
1.92%
-
4.09%
-
19.06%
+
34.39%
12. 85.86%
14.14%
DELIVERY
34847
STATISTIK KETAPANG GONDRONG
26 SEPTEMBER - 25 OKTOBER 2021
29918 4929
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
1191
(3.42%)
4
(0.08%)
99.66
%
Freelance_
17
OFF : 4
(RESIGN)
3825
(10.98%)
606
(12.29%)
84.16
%
Firhan
Murdiman
OFF : 3
3374
(9.68%)
776
(15.74%)
77%
Hayoo_
Fauzan
Alwan
OFF : 5
3727
(10.70%)
77
(1.56%)
97.93
%
Ade Budi
Mulya
OFF : 3
3783
(10.86%)
332
(6.74%)
91.22
%
Dinny
Akbari
OFF : 3
3543
(10.17%)
458
(9.29%)
87.07
%
Arip
Maulana
OFF : 4
3878
(11.13%)
331
(6.72%)
91.46
%
Rahmat
Septiadi
OFF : 3
1329
(3.81%)
389
(7.89%)
70.73
%
Tedjo_muha
mmad Irfan
OFF : 2
2806
(8.05%)
909
(18.44%)
67.61
%
Freelance_
23
OFF : 6
3542
(10.16%)
266
(5.40%)
92.49
%
Yongki
Dermawan
OFF : 5
3901
(11.19%)
171
(3.47%)
95.62
%
Hendi
Firdawan
OFF : 4
823
(2.36%)
567
(11.50%)
31.11
%
Hayoo_mift
achul Ilmi
OFF : 4
89
(0.26%)
43
(0.87%)
51.69
%
Raffa_mulki
OFF : 1
(RESIGN)
14. 94.06%
5.94%
DELIVERY
31329
29468
STATISTIK PETIR GREENLAKE
26 SEPTEMBER - 25 OKTOBER 2021
4498
(14.36%)
251
(13.49%)
94.42
%
Dayu
Andika
OFF : 4
4743
(15.14%)
123
(6.61%)
97.41
%
Aswandi OFF : 3
4000
(12.77%)
119
(6.39%)
97.03
%
Jarot OFF : 3
2781
(8.88%)
3
(0.16%)
99.89
%
Aris
Munandar
OFF : 4
3691
(11.78%)
185
(9.94%)
94.99
%
Abdul Latif
OFF : 5
3751
(11.97%)
707
(37.99%)
81.15
%
Hayoo_fahri
A
OFF : 6
4643
(14.82%)
292
(15.69%)
93.71
%
Karyadi
Aditya
OFF : 5
3222
(10.28%)
181
(9.73%)
94.38
%
Suhardi
OFF : 5
SKD : 2
1861
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
15. PERTUMBUHAN PETIR GREENLAKE
26 SEPTEMBER - 25 OKTOBER 2021
105
26
21
29
Suhardi
186
14
39
53
Karyadi Aditya
88
46
41
10
Abdul Latif
279
86
171
171
Hayoo_fahri A
116
1
0
2
Jarot
99
1
15
8
Aswandi
211
6
4
3
Dayu Andika
0
3
0
0
Aris
Munandar
199
1340
749
934
Suhardi
922
1299
999
1423
Karyadi Aditya
681
1348
922
740
Abdul Latif
692
1145
934
980
Hayoo_fahri A
890
1280
844
986
Jarot
829
1612
1138
1164
Aswandi
1119
1292
1043
1044
Dayu Andika
604
675
653
849
Aris
Munandar
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
8120
7282
9991
5936
-
10.32%
+
37.20%
-
40.59%
303 291
183
1084
-
3.96%
-
37.11% +
492.35
%
RATA – RATA DELIVERY PERMINGGU
7832
RATA – RATA LATE PERMINGGU
465
33299
33979
31329
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
32869
2530
1375
1861
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
1922
+
2.04%
-
7.80%
-
45.65
%
+
35.35
%
16. 90.89%
9.11%
DELIVERY
23484
21344
STATISTIK ROYAL
26 SEPTEMBER - 25 OKTOBER 2021
2972
(12.66%)
291
(13.60%)
65.71
%
Willy
Widharma
OFF : 6
4508
(19.20%)
504
(23.55%)
88.82
%
Rangga
Normansyah
OFF : 5
4383
(18.66%)
27
(1.26%)
99.38
%
Syahrudin
OFF : 4
2140
3003
(12.79%)
538
(25.14%)
82.08
%
Tedjo_fiega
Fizatmok
OFF : 6
2696
(11.48%)
288
(13.46%)
89.32
%
Ardiansyah
OFF : 5
SKD : 4
4393
(18.71%)
23
(1.07%)
99.48
%
Eji Nurul
Fajri
OFF : 3
1529
(6.51%)
469
(21.92%)
69.33
%
Tedjo_zaena
l Abidin
OFF : 2
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
17. PERTUMBUHAN ROYAL
26 SEPTEMBER - 25 OKTOBER 2021
11
6
6
4
Syahrudin
140
120
51
193
Rangga
Normansyah
155
93
20
23
Willy
Widharma
141
10
101
36
Ardiansyah
201
70
250
17
Tedjo_fiega
Fizatmok
21
2
0
0
Eji Nurul Fajri
248
98
123
-
Tedjo_zaenal
Abidin
469
1577
965
1372
Syahrudin
270
1708
1262
1268
Rangga
Normansyah
452
991
685
844
Willy
Widharma
259
742
642
1053
Ardiansyah
756
856
849
542
Tedjo_fiega
Fizatmok
689
1448
998
1258
Eji Nurul Fajri
553
698
278
-
Tedjo_zaenal
Abidin
6337
5679
8020
3448
-
10.38%
+
41.22%
-
57.01%
273
551
399
917
+
101.83
%
-
27.59%
+
129.82
%
RATA – RATA DELIVERY PERMINGGU
5871
RATA – RATA LATE PERMINGGU
535
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
30205
26877
23484
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
26855
2715
2956
715
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
2129
-
11.02%
-
12.62%
+
8.88%
-
75.81
%
18. 90.11%
9.89%
DELIVERY
26176
23588
STATISTIK HASYIM ASHARI
26 SEPTEMBER - 25 OKTOBER 2021
3618
(13.82%)
1040
(40.19%)
71.25
%
Tedjo_dede
Mihardi
OFF : 5
1525
(5.83%)
80
(3.09%)
94.75
%
Muhammad
Adhitya H P
SKD : 12
2141
(8.18%)
110
(4.25%)
94.86
%
Ahmad
Vikri
OFF : 4
SKD : 10
3532
(13.49%)
891
(34.43%)
74.77
%
Tedjo_endri
Hermawan
OFF : 4
4433
(16.94%)
37
(1.43%)
99.17
%
Diky
OFF : 3
3176
(12.13%)
185
(7.15%)
94.18
%
Febriyanto
OFF : 3
4239
(16.19%)
146
(5.64%)
96.56
%
Wahyu Feri
Setiyawan
OFF : 2
3512
(13.42%)
99
(3.83%)
97.18
%
Wahyu
Dianto
OFF : 2
SKD : 3
2588
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
19. PERTUMBUHAN HASYIM ASHARI
26 SEPTEMBER - 25 OKTOBER 2021
93
1
1
4
Wahyu Dianto
60
34
23
29
Wahyu Feri
Setiyawan
0
18
1
18
Diky
13
72
86
14
Febriyanto
29
1
53
27
Ahmad Vikri
223
294
196
327
Tedjo_dede
Mihardi
187
199
185
320
Tedjo_endri
Hermawan
73
7
53
27
Muhammad
Adhitya H P
566
1470
438
1038
Wahyu Dianto
634
1149
1259
1197
Wahyu Feri
Setiyawan
849
1562
838
1184
Diky
543
1135
751
747
Febriyanto
260
3
912
966
Ahmad Vikri
864
1066
896
792
Tedjo_dede
Mihardi
889
973
818
852
Tedjo_endri
Hermawan
613
912
-
-
Muhammad
Adhitya H P
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
739
545
626
678
-
26.25
%
+
14.86
%
+
8.31%
6776
5912
8270
5218
-
12.75
%
+
39.88
%
-
36.90
%
RATA – RATA DELIVERY PERMINGGU
6544
RATA – RATA LATE PERMINGGU
647
25325
27265
26176
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
26255
1804 1736
2588
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
2043
+
7.66
%
-
3.99%
-
3.77% +
49.08
%
20. 94.38%
5.62%
DELIVERY
30507
28793
STATISTIK DAAN MOGOT DARUSSALAM KEBON BESAR
26 SEPTEMBER - 25 OKTOBER 2021
1714
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
4004
(13.12%)
222
(12.95%)
94.46
%
Tedy
OFF : 4
IZIN : 1
3626
(11.89%)
184
(10.74%)
94.93
%
Rifky
Arifudin
OFF : 4
4259
(13.96%)
106
(6.18%)
97.51
%
Buchori
OFF : 4
SKD : 1
4591
(15.05%)
229
(13.36%)
95.01
%
Anggi
Saputra
OFF : 5
3651
(11.97%)
44
(2.57%)
98.79
%
Rian Sodri
Putra
OFF : 5
SKD : 2
4651
(15.25%)
375
(21.88%)
91.94
%
Apreza
Wahyu
Utama
OFF : 3
5081
(16.66%)
239
(13.94%)
95.30
%
Wahono
OFF : 2
SKD : 1
26
(0.09%)
1
(0.06%)
96.15
%
Hayoo_dede
Kurniawan
OFF : 4
(RESIGN)
618
(2.03%)
314
(18.32%)
49.19
%
Tedjo_yayan
Adiyatna
OFF : 1
(RESIGN)
21. PERTUMBUHAN DAAN MOGOT DARUSSALAM KEBON BESAR
26 SEPTEMBER - 25 OKTOBER 2021
119
39
14
57
Anggi Saputra
39
14
27
26
Buchori
140
16
46
20
Tedy
160
7
4
13
Rifky Arifudin
17
16
6
5
Rian Sodri
Putra
185
11
14
29
Wahono
341
1
30
3
Apreza Wahyu
Utama
-
87
227
-
Tedjo_yayan
Adiyatna
539
1779
813
1460
Anggi Saputra
900
1262
942
1155
Buchori
642
1327
1208
827
Tedy
585
1377
743
921
Rifky Arifudin
607
1370
406
1268
Rian Sodri
Putra
1065
1348
1313
1355
Wahono
1136
1375
1452
688
Apreza Wahyu
Utama
-
152
466
-
Tedjo_yayan
Adiyatna
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
7700 7343
9990
5474
-
4.64%
+
36.05
%
-
45.21
%
154
368
191
1001
+
138.96
%
-
48.10
%
+
424.08
%
RATA – RATA DELIVERY PERMINGGU
7627
RATA – RATA LATE PERMINGGU
429
32043
33625
30507
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
32058
1351
1186
1714
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
1417
+
4.94%
-
9.27%
-
12.21
%
+
44.52
%
22. 59.97%
40.03%DELIVERY
20510
12299
STATISTIK PANUNGGANGAN
26 SEPTEMBER - 25 OKTOBER 2021
8211
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
1378
(6.72%)
740
(9.01%)
46.30
%
Hayoo-helmi
Novianto
OFF : 5
(RESIGN)
478
(2.33%)
160
(1.95%)
66.53
%
Hayoo_mah
mur Sutrisn
OFF : 3
(RESIGN)
1007
(4.91%)
339
(4.13%)
66.34
%
Hayoo_
Sutrisna
OFF : 4
(RESIGN)
3187
(15.54%)
988
(12.03%)
69%
Hayoo_gale
h Riyadi
OFF : 2
(RESIGN)
1266
(6.17%)
198
(2.41%)
84.36
%
Ahmad Rifai
OFF : 2
(RESIGN)
4316
(21.04%)
369
(4.49%)
91.45
%
Deni
Saputra
OFF : 5
882
(4.30%)
563
(6.86%)
36.17
%
Hayoo_maul
ana Yusup
OFF : 5
(RESIGN)
224
(1.09%)
109
(1.33%)
51.34
%
Tedjo_abdul
Khoir J
OFF : 5
(RESIGN)
1198
(5.84%)
688
(8.38%)
42.57
%
Hayoo_n
Fahmi Idris
OFF : 7
(RESIGN)
2380
(11.60%)
1020
(12.42%)
57.14
%
Hayoo_andri
Rizki
OFF : 8
1404
(6.85%)
591
(7.20%)
57.91
%
Tedjo_
Jimmy
Waluyo
OFF : 10
1983
(9.67%)
1313
(15.99%)
33.79
%
Tedjo_joshu
a Hendrik
OFF : 6
66
(0.32%)
47
(0.57%)
28.79
%
Hayoo_hariy
anto
OFF : 1
64
(0.31%)
32
(0.39%)
50%
Hayoo_farh
an Fuady
OFF : 1
22
(0.11%)
1
(0.01%)
95.45
%
Hayoo_saep
ul Rahman
OFF : 3
52
(0.25%)
28
(0.34%)
46.15
%
Hayoo_rizal
Mucholik
OFF : 1
28
(0.14%)
19
(0.23%)
32.14
%
Hayoo_irvan
Hidayat
OFF : 1
184
(0.90%)
79
(0.96%)
57.07
%
Tedjo_
Faisal Fahri
OFF : 1
336
(1.64%)
270
(3.29%)
19.64
%
Hayoo_fajar
Maulana
OFF : 2
23
(0.11%)
16
(0.19%)
30.43
%
Tedjo_muha
mmad Albi
RESIGN
559
(2.73%)
352
(4.29%)
37.03
%
Tedjo_abi
Dwi Lakson
OFF : 7
55
(0.27%)
39
(0.47%)
29.09
%
Tedjo_teddy
Triansya
RESIGN
69
(0.34%)
40
(0.49%)
42.03
%
Raffa_asep
Pradana
OFF : 3
275
(1.34%)
210
(2.56%)
23.64
%
Tedjo_adi
Riyansah
RESIGN
23. PERTUMBUHAN PANUNGGANGAN
26 SEPTEMBER - 25 OKTOBER 2021
6730
5855 6014
2849
-
13%
+
2.72%
-
52.63%
1640
1848
3025
1698
+
12.68%
+
63.69%
-
43.87%
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
RATA – RATA DELIVERY PERMINGGU
5362
RATA – RATA LATE PERMINGGU
2053
24210
30917
20510
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
25212
8326
6290
8211
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
7609
+
27.70
%
-
33.66
%
-
24.45
%
+
30.54
%
24. 90.79%
9.21%
DELIVERY
30582
27766
STATISTIK NEROGTOG SUDIMARA
26 SEPTEMBER - 25 OKTOBER 2021
2540
(8.31%)
136
(4.83%)
94.65
%
Ridwan
Syafaat
OFF : 3
3802
(12.43%)
191
(6.78%)
94.98
%
Aris
Setiawan
OFF : 3
3450
(11.28%)
26
(0.92%)
99.25
%
Andri
Priyono
OFF : 4
3410
(11.15%)
120
(4.26%)
96.48
%
Muhammad
Pikry A
OFF : 5
3384
(11.07%)
156
(5.54%)
95.39
%
Syamsudin
OFF : 4
2816
3140
(10.27%)
1327
(47.12%)
57.74
%
Hayoo_misb
ah Ardians
OFF : 5
3745
(12.25%)
287
(10.19%)
92.34
%
Wahyu
Faturisky J
OFF : 4
2508
(8.20%)
107
(3.80%)
95.73
%
Hayoo_fahri
zal R
OFF : 6
3543
(11.59%)
176
(6.25%)
95.03
%
Satria Ahdi
Wijaya
OFF : 3
1522
(4.98%)
290
(10.30%)
80.95
%
Tedjo_muha
mmad Arif
OFF : 3
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
25. PERTUMBUHAN NEROGTOG SUDIMARA
26 SEPTEMBER - 25 OKTOBER 2021
549
1257
838
740
Syamsudin
112
1033
504
891
Ridwan
Syafaat
600
1086
1090
1026
Aris Setiawan
684
1273
755
738
Andri Priyono
415
1159
876
960
Muhammad
Pikry A
632
1145
753
1013
Satria Ahdi
Wijaya
447
742
646
673
Hayoo_fahriza
l R
462
967
957
1359
Wahyu
Faturisky J
745
797
767
831
Hayoo_misba
h Ardians
462
716
344
-
Tedjo_muham
mad Arif
113
17
20
6
Syamsudin
1
28
86
21
Ridwan
Syafaat
22
104
39
26
Aris Setiawan
20
2
3
1
Andri Priyono
109
4
3
4
Muhammad
Pikry A
143
1
2
30
Satria Ahdi
Wijaya
92
1
12
2
Hayoo_fahriza
l R
193
39
25
30
Wahyu
Faturisky J
364
185
314
464
Hayoo_misba
h Ardians
165
81
44
-
Tedjo_muham
mad Arif
8231
7530
10175
5108
-
12.70
%
+
35.13
%
-
49.80
%
584 548
462
1222
-
13.70
%
-
15.69
%
+
164.5
0%
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
RATA – RATA DELIVERY PERMINGGU
7761
RATA – RATA LATE PERMINGGU
704
34778 34439
30582
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
33266
3717
3011
2816
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
3181
-
0.97%
-
11.20
%
-
18.99
%
-
6.48%
26. 92.33%
7.67%
DELIVERY
23717
21898
STATISTIK KUNCIRAN
26 SEPTEMBER - 25 OKTOBER 2021
4932
(20.80%)
103
(5.66%)
97.91
%
Dwi Dianto
Wahyu Uto
OFF : 2
3561
(15.01%)
562
(30.90%)
84.22
%
Adi Rudi
OFF : 4
3717
(15.67%)
364
(20.01%)
90.21
%
Ismadi
Priyono
OFF : 3
1819
4443
(18.73%)
191
(10.50%)
95.70
%
Saipul
Ridwan
OFF : 1
3198
(13.48%)
246
(13.52%)
92.31
%
Muhammad
Ebih
OFF : 3
3866
(16.30%)
274
(15.06%)
92.91
%
Heri
Gunawan
OFF : 4
205
(4.26%)
79
(7.08%)
61.46
%
Hayoo_raja
Pardika
DELIVERY LATE ON TIME
NAMA SPRINTER ABSENSI
27. PERTUMBUHAN KUNCIRAN
26 SEPTEMBER - 25 OKTOBER 2021
286
58
10
10
Ismadi
Priyono
264
164
73
61
Adi Rudi
35
13
11
44
Dwi Dianto
Wahyu Uto
88
108
28
22
Muhammad
Ebih
179
7
3
2
Saipul Ridwan
185
11
37
41
Heri Gunawan
763
1132
785
1037
Ismadi
Priyono
875
969
717
1000
Adi Rudi
999
1594
1017
1322
Dwi Dianto
Wahyu Uto
455
1037
750
956
Muhammad
Ebih
908
1446
965
1124
Saipul Ridwan
807
1314
1033
712
Heri Gunawan
6151
5267
7492
5012
-
14.37
%
+
42.24
%
-
33.10
%
180 162
361
1116
-
10%
+
122.84
%
+
209.14
%
DELIVERY LATE
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
RATA – RATA DELIVERY PERMINGGU
5981
RATA – RATA LATE PERMINGGU
455
24775
25507
23717
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA DELIVERY PERBULAN
24666
1020
629
1819
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA LATE PERBULAN
1156
+
2.95%
-
7.02%
-
38.33
%
+
189.19
%
29. PERTUMBUHAN PICK UP & OMSET
26 SEPTEMBER - 25 OKTOBER 2021
42921
25121
54953
28262
-
41.47
%
+
118.75
%
-
48.57
%
RATA – RATA PICKUP PERMINGGU
37814
1,036,392,152
647,111,293
1,363,426,795
728,337,885
-
37.56
%
+
110.69
%
-
46.58
%
RATA – RATA OMSET PERMINGGU
943.817.031
PICK UP OMSET
26 SEPT – 2 OCT 3 – 9 OCT 10 – 16 OCT 16 – 25 OCT
165240
169663
151257
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA PICKUP PERBULAN
162053
4,431,794,136
4,272,531,988
3,775,268,125
JUL - AUG AUG - SEPT SEPT - OCT
RATA – RATA OMSET PERBULAN
4.159.864.750
+
2.68%
-
10.85%
-
3.59%
-
11.64%
30. TOP 10 SELLER (TOP 1 - 5)
26 SEPTEMBER - 25 OKTOBER 2021
SS COLLECTION
QQ LEMARI GADIS
YOUNG MAN
HEYLOOK
SOMETHINC
1
2
3
4
5
TOTAL AWB
37144
TOTAL BIAYA
754.110.68
7
TOTAL AWB
4950
TOTAL BIAYA
126.989.00
0
TOTAL AWB
2990
TOTAL BIAYA
121.762.50
0
TOTAL AWB
3971
TOTAL BIAYA
108.804.86
6
TOTAL AWB
2962
TOTAL BIAYA
80.723.000
31. OCP MART
Syafah Toys
STARCO
LEXOIR COM
Ortuseight
6
7
8
9
1
0
TOTAL AWB
1990
TOTAL BIAYA
60.293.000
TOTAL AWB
2058
TOTAL BIAYA
49.514.426
TOTAL AWB
1543
TOTAL BIAYA
49.143.000
TOTAL AWB
2198
TOTAL BIAYA
48.206.000
TOTAL AWB
2039
TOTAL BIAYA
58.470.000
TOP 10 SELLER (TOP 6 - 10)
26 SEPTEMBER - 25 OKTOBER 2021