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Haryo Santoso
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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PERANCANGAN SISTEM PENGUKURAN KINERJA MENGGUNAKAN METODA PERFORMANCE PRISM Naniek Utami Handayani; Haryo Santoso; Siti Rochmawati
Teknoin Vol. 10 No. 4 (2005)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/.v10i4.103

Abstract

XYZ company is a printing and publishing company, especially for lesson and education books with more than 50 branch offices in Indonesia. As a profit oriented organization, so far performance measures of this company only based on financial aspect. Whereas, non financial aspect and stakeholder wants and needs ignored and didn’t get enough attention. So, it is difficult to know overall company performance exactly. Therefore, required new performance measurement system that can describe company performance more comprehensive and integrated. This research use performance prism method to design the new performance measurement system because it is more suitable and representative with the objective condition of XYZ company than other models.The result of design describe that stakeholders of XYZ company are including: customers, employees, investors and owners, suppliers, regulators and local communities. Measurement system obtained 31 Key Performance Indicators(KPI) including 3 KPI of customers, 9 KPI of general employees, 4 KPI of production employees, 7 KPI of investor and owners, 3 KPI of suppliers, and 5 KPI of regulators and local communities. Result of implementation performance measurement system with scoring system using OMAX method indicates that amount of scor current performance indicator is 69%. From overall KPI, these are 4 KPI with bad performance criteria, that is amount of customer’s complaint, amount of eployee’s complaint with completion, increase of production volume and amount of late delivery of employee’s monthly report. Result of measurement can be based for doing evaluation and choice planning improvement organization,  so all stakeholder requirements can be fulfilled.Keywords : Performance Prism, performance measurement, stakeholder
Faktor -Faktor yang memengaruhi Peningkatan Daya Saing Klaster Mebel di Kabupaten Jepara Naniek Utami Handayani; Haryo Santoso; Adithya Ichwal Pratama
Jurnal Teknik Industri Vol. 13 No. 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.972 KB) | DOI: 10.22219/JTIUMM.Vol13.No1.22-30

Abstract

Indonesia is known as one of the nation's largest mebel exporter in the world. But, the development of Central Java mebel exports for four years fluctuated but tended to decline that was caused by economic crisis of the world. Industrial clusters are one of the strategic that was used to develop industry based on region. The purpose of this study was to analyze the factors affecting the competitiveness of the mebel industry in order to take policies that can be used to improve the competitiveness of Indonesian mebel industry of Central Java especially in overseas markets. This study use PLS (Partial Least Square) as tools that serve to test the diamond model porter plus social capital variables and analyze the factors that affect competitiveness, caused total population size used in this study is small. The results showed that competitiveness in the Mulyoharjo furniture cluster is influenced by condition factors, demand condition, related supporting industries. Whereas, Senenan furniture cluster is influenced by condition factors, the role of government, the opportunities, and social capital.
KEPUASAN MAHASISWA TERHADAP “SERVICE QUALITY” DI FAKULTAS TEKNIK UNIVERSITAS DIPONEGORO MENGGUNAKAN METODE “STUDENT SATISFACTION INVENTORY” Zainal Fanani R; Haryo Santoso; Ina Lusiana
TEKNIK Vol 28, No 2 (2007)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.051 KB) | DOI: 10.14710/teknik.v28i2.2145

Abstract

College is a service industry providing service activities of higher education, where quality of service andproduct have must be committed to customer satisfaction orientation. Diponegoro University as one of TheState University which is located in Semarang Central Java become research object at this research about thequality of service education.This research uses Student Satisfaction Inventory method which was developed by Noel Levitz. This methodmeasure service quality based on eleven dimension, there are Academic Advising, Campus Climate, CampusLife, Campus Support Services, Concern for the Individual, Instructional Effectiveness, Recruitment andFinancial Aid Effectiveness, Registration Effectiveness, Campus Safety and Security, Service Excellence, andStudent Centeredness.The research was done by survey of student satisfaction. The sample are student of Technical Faculty UNDIPwhich is taken proportionally from 8 study program of Engineering Faculty in UNDIP. There are two differentscore for each item on the survey, the importance score, and the satisfaction score. The assessment of qualityservice education based on the difference in the importance score and satisfaction score, so called withperformance gap score.The result shows that the highest importance score is campus supports service (4.65), the highest satisfactionscore is campus climate (3.29) and the highest performance gap is campus support services (1.61). Value oftotal mean performance gap is 1.44. According to the guidelines provided by Noel Levitz, a performance gapbetween zero and 1.50 indicates that the institution (UNDIP) is almost meeting students expectation. From theperspective of engineering students, Electrical Engineering student feel most satisfied to service educationgiven by UNDIP than student from other engineering majors. The other result of this research indicates thatthere are 14 variables from 66 variables has high priority to be improved.
Co-Authors Adithya Ichwal Pratama Bambang Purwanggono Ina Lusiana Naniek Utami Handayani Naniek Utami Handayani Siti Rochmawati Zainal Fanani R