Lean
Intervention Strategy to Increase Customer Satisfaction Supported by The
Application of Artificial Intelligence for Integrated Services at Universitas
Negeri Semarang
1,2,3,4,5,6 Universitas Negeri Semarang, Semarang, Jawa Tengah,
Indonesia
e-mail: alfath@mail.unnes.ac.id1*,
bhektikumorowati@mail.unnes.ac.id2, anbiya@mail.unnes.ac.id3,
is@mail.unnes.ac.id4, ilham.hernowo@mail.unnes.ac.id5, widias@mail.unnes.ac.id6
![]()
Abstract: The
Integrated Service Unit (ULT) at Universitas Negeri Semarang (UNNES) was
established in line with Presidential Regulation Number 97/2014 on the
Implementation of One-Stop Integrated Services and Ministry of Research,
Technology, and Higher Education Regulation Number 59/2016 on Public Services.
This unit includes four Customer Service (CS) representatives dedicated to
assisting customers with issues in areas such as academics, student affairs,
partnerships, and finance, all while emphasizing quality, reliability, and
responsiveness. This type of research is qualitative research with a lean
approach. In response to the dual demands of online and offline service in the
public sector, the ULT has adopted the Pagoda service system, which leverages
Artificial Intelligence (AI) to address the limitations posed by a limited
number of CS representatives. The integration of AI within the Pagoda system
helps manage high complaint volumes by providing a human-like conversational
experience, allowing customers to feel as if they are interacting with real
people. This research provides an assessment of ULT services using old service
applications, namely (1) Pagoda 1.0 to help offline services, (2) email and
live chat to help online services along with all the problems that arise, then
intervene with lean management to develop Pagoda 2.0 which is capable Handling
problems with old service applications.
Keywords: Artificial
Intelligence, Chatbot, Pagoda 1.0, Pagoda 2.0, Lean Management
![]()
INTRODUCTION
The Integrated Service Unit (ULT) at UNNES was established under
Presidential Regulation Number 97/2014 on the implementation of One-Stop
Integrated Services, as well as Ministry of Research, Technology, and Higher
Education Regulation Number 59/2016 on Public Services
This policy also affects the ULT service system, originally
implemented through the Pagoda Ticket system, hereafter referred to as Pagoda
1.0, which has transitioned to email and live chat services using the Tawk To
application. The Integrated Services Unit operated online from March 24, 2020,
to November 24, 2021, as shown in Figure 1. Over this period, ULT handled a
total of 12,579 complaints from lecturers, students, alumni, and the general
public within a single year

Figure 1. Number of Online Services (Email and Live Chat) by CS during the
Pandemic
(Source: ULT Primary Data, 2020)
The measurable average length of service via live chat, which is
more in-depth, is shown in Figure 2. Based on Figure 2, the most extended
average length of service via live chat is 16 minutes and 20 seconds. The most
extended service ever provided was 115 minutes. Based on Figure 3, the average
response speed by CS to customers requesting service is 5 minutes. This results
in customer perceptions regarding integrated services, as shown in Figure 4,
which shows satisfaction with ULT of 4004, or around 99% of customers give a
neutral assessment. In comparison, the remaining 1% offer a positive
assessment. This shows a need for in-depth evaluation and analysis of the
profile data above.

Figure 2. Average Length of Service during the
Pandemic
(Source: ULT Primary Data, 2020)

Figure 3. Speed of Responding to Incoming
Customers
(Source: ULT Primary Data, 2020)

Figure 4. Integrated Service Satisfaction Index
via Live Chat during the Pandemic
(Source: ULT Primary Data, 2020)
Although ULT can deliver comprehensive online services, it faces
challenges in managing the reporting process
On December 30, 2022, the Government decided to revoke the policy
of implementing restrictions on community activities (PPKM). This policy was
conveyed by the President of the Republic of Indonesia, Joko Widodo, at the
State Palace, Jakarta, accompanied by the Minister of Health and the Minister
of Home Affairs
To address common issues in both offline and online services, such
as frequently repeated customer questions that can be answered with standard
responses from the FAQ, Artificial Intelligence (AI) offers a promising
solution. AI, which enables machines to perform human-like tasks
Based on the data and description above, it is necessary to
develop the pagoda system into pagoda version 2.0 (pagoda 2.0) with the
application of AI to provide flexible online and offline compliant services
Lean management is an effort to eliminate waste and increase the
added value of goods and services to customers
MATERIALS AND METHODS
This research adopts a qualitative approach with a focus on lean
management. It assesses ULT services using Pagoda 1.0 in offline settings and
email and live chat in online settings, examining the challenges that emerge
within these modalities. Additionally, lean management principles were applied
to guide the development of Pagoda 2.0, aiming to create a more innovative,
efficient, comprehensive, user-friendly, and accurate service experience that
upholds values of quality, reliability, and responsiveness in customer service.
This process ultimately contributed to the conceptualization of an ideal
service model for UNNES.
1. Research Focus
This research leads to a description of the service system used,
namely Pagoda. This system is a tool for providing ideal service, seen from the
speed and accuracy in handling problems by paying attention to the customer's
side as a human being who has subjectivity in providing satisfaction ratings
and conformity with all SOPs used by CS. The ideal system is measured from the
perceptions of CS and customers based on the ease, speed, completeness,
friendliness, and accuracy of the services provided.
2.
Data Source
Data was obtained from primary and secondary sources. Researchers
got secondary source data through supporting documents from UNNES and outside
UNNES, while researchers obtained primary source data through research
instruments given to respondents. Respondents, namely ULT service customers,
were taken using a random sampling technique.
3. Analysis and Interpretation Techniques
Initial analysis was carried out on secondary data to strengthen
the research focus. Next, data analysis uses lean principles and the
RESULTS AND DISCUSSION
1.
Identify Pagoda 1.0
Providing
online and offline services can pose many obstacles for CS and customers. ULT
hopes that the system developed will be able to answer the barriers that arise
a.
Suppose
the same complaint is submitted more than once by one customer. In that case,
this stems from the customer's concerns about whether the complaint that has
been submitted has been successfully sent or not, apart from worries about
whether CS still needs to handle the complaint.
b.
The
existence of two service channels means that customers will send to various
channels. The two things above will take up CS time, which could otherwise be
turned to other customers or complaints.
c.
All
complaints sent via email are challenging to process data to be used as
material for performance reports.
d.
The
same question from many customers with the same answer, according to the FAQ
The
obstacles that arise when offline services use the Pagoda 1.0 system are as
follows.
a.
The
system is designed to be one-way, namely CS, to customers, while customers
communicate directly with CS. The Pagoda system only conveys the final solution
provided by CS to customers during the offline service process.
b.
The
limited number of complaints CS can resolve daily is due to chats between CS
and customers, whether chats are related to complaints or not.
c.
The
same question from many customers with the same answer, according to the FAQ
2.
Lean Intervention
Quoted
from the book Lean Thinking: Banish Waste and Create Wealth in Your Corporation
by Womack, James P., and Daniel T. Jones
a.
Focus
on Value
This
principle is oriented towards things that are essential for customers. Focus on
producing services that can have an impact on customers. Several questions are
used to find value in UNNES services so that ULT can reduce unnecessary
processes
Table 1. Questions and Answers
for Determining Service Value
|
No |
Questions |
Answers |
Value |
|
1 |
What terms and conditions
must customers fulfil to get services through Pagoda 2.0? |
Terms and conditions that
customers must fulfill: 1. students or employees who
have academic problems that cannot be resolved at the study program and
faculty level 2. general customers who
request academic and non-academic information |
The problems that come are
problems that can only be solved by central service |
|
2 |
What is the appropriate
time? |
Ideal service can be
completed in one visit by the same officer. |
One officer solves one
customer's problem |
|
3 |
What is the timeline for
requesting services and distribution of required services? |
The customer submits a
request, and it is immediately resolved entirely. |
customers can easily access
services and get complete solutions |
b. Creates
Value Streams and Generates Residual Value Less Efficiently
After finding the value above,
the next step is to create a flow to achieve that value. This principle
eliminates various processes that should not be needed and wastes a lot of time

Figure 5. Service Flowchart Diagram
c. Creates
Seamless Flow
Based on this principle,
seamless flow can be implemented if lean management actors (service officers)
ensure that previous value-based processes can move with a tight workflow so
that service processes can run smoothly and consistently
1)
Types
of problems that should be resolved within the study program/faculty area are
directly conveyed to central services.
2)
Complaints
that one officer cannot resolve.
3)
Publication
of solutions to frequently occurring complaints.
4)
Mass
problems arise due to a policy or application maintenance.
d.
Using
a "Pull" System
The "Withdraw"
system means that each customer can withdraw their right to receive service
when needed. This means that ULT can only provide services to the correct
number of customers and at the right time. The main goal of this concept is to reduce
and eliminate unneeded resources. Elements destroyed in the service process to
increase work efficiency and effectiveness are as follows.
1)
Diversion
of mass complaints entered on the ult page to be forwarded to other units
2)
Standard
Operational Procedures that are not concise
3)
Manual
archive recording
d.
Improvisation
and Development
The final step must be to
ensure that ULT can re-develop the four principles above, which have previously
been implemented well
3.
Flowchart Design
The service flow in Pagoda 2.0
is designed to reduce the weaknesses found in Pagoda 1.0 as follows.
a.
Added
a mass response feature for complaints of the exact nature via the Chatbot
feature
b.
They
added online and offline queuing features to create queues separately to
optimize complaint handling.
c.
Added
chatbot feature to reduce questions coming into ULT
d.
Add
a limited feature for submitting complaints if previous complaints have not
been answered. This is to avoid the same complaints being sent repeatedly by
customers.

Figure 6. Pagoda 2.0 Service Flow
CONCLUSION
This research
assesses ULT services provided by legacy applications, specifically (1) Pagoda
1.0 for offline services and (2) email and live chat for online services,
identifying various issues that arise within these systems. To address these
challenges, lean management principles were applied to develop Pagoda 2.0, a
service system that retains the strengths of previous applications while
overcoming their limitations. The Pagoda 2.0 service application, enhanced by
lean management interventions, is designed to be more innovative, effective,
and efficient, offering scalable solutions to serve a large customer base
effectively. Additionally, integrating Artificial Intelligence (AI) in a
chatbot, aligned with lean management principles, further supports the Pagoda
2.0 system in delivering responsive and optimized service interactions.
Aliyyah, R. R., Rasmitadila, R.,
Humaira, M. A., Mujahidin, E., Suryadi, S., Widyasari, W., &
Rachmadtullah, R. (2020). Are the Assessment Criteria and the Role of
Educational Stakeholders Able to Make Outstanding Teacher. International
Journal of Psychosocial Rehabilitation.
Al-Khowarizmi, S., & Lubis,
A. R. (2023). Artificial Intelligence. umsu press.
Andrés-López, E.,
González-Requena, I., & Sanz-Lobera, A. (2015). Lean Service: Reassessment
of Lean Manufacturing for Service Activities. Procedia Engineering, 132,
23–30. https://doi.org/10.1016/j.proeng.2015.12.463
Anggraini, W., & Ilhamda, A.
N. (2020). Perbaikan Efisiensi Jalur Layanan Pasien Rumah Sakit dengan
Menggunakan Pendekatan Lean Healthcare. INOBIS: Jurnal Inovasi Bisnis Dan
Manajemen Indonesia, 3(4), 509–521.
Bosnich, T. (2019). Applying
Lean Construction principles to waste management and identifying minimisation
opportunities to inform the industry.
Carneiro, D., Novais, P.,
Andrade, F., Zeleznikow, J., & Neves, J. (2014). Online dispute
resolution: an artificial intelligence perspective. Artificial Intelligence
Review, 41, 211–240.
Dwivedi, Y. K., Kshetri, N.,
Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang,
A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A.
S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis,
D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?”
Multidisciplinary perspectives on opportunities, challenges and implications
of generative conversational AI for research, practice and policy. International
Journal of Information Management, 71, 102642.
https://doi.org/10.1016/j.ijinfomgt.2023.102642
Evans, C. H., & Schenarts, K.
D. (2016). Evolving educational techniques in surgical training. Surgical
Clinics, 96(1), 71–88.
Fruin, N. (2019). The ICT
malaise: A diagnosis and cure for the dysfunctional information and
communication technologies service-delivery workflow. Productivity Press.
Garrido, L. A., Dalgkitsis, A.,
Ramantas, K., Ksentini, A., & Verikoukis, C. (2024). Resource Demand
Prediction for Network Slices in 5G using ML Enhanced with Network Models. IEEE
Transactions on Vehicular Technology.
Hartati, S. (2021). Kecerdasan
Buatan Berbasis Pengetahuan. Ugm Press.
Islam, M. A. N. U. R., Warsito,
B., & Nurhayati, O. (2024). Ai-Driven Chatbot Implementation For Enhancing
Customer Service In Higher Education: A Case Study From Universitas Negeri
Semarang. Journal of Theoretical and Applied Information Technology, 102(14).
Kelendar, H. (2020). Lean
thinking from Toyota manufacturing to the health care sector. Res Med Eng
Sci, 8(5), 913–923.
Kurniawan, D. (n.d.). Kekuasaan
Peradilan Militer Mengadili Warga Sipil Dalam Tinjauan Hukum Tata Negara
Darurat. Jurnal Hukum & Pembangunan, 52(4), 4.
Kusdarmadji, K., Pribadi, F.,
& Permana, I. (2021). Implementation of Lean Management to Reduce Waste in
Hemodialization Installation of QIM Batang Hospital. Jurnal Profesi Medika:
Jurnal Kedokteran Dan Kesehatan, 15(2).
McNeil, C. L. (2021). A Mixed
Method Investigation of Industry Recognized Credentials and Academic
Achievement among Urban Schools in the State of Missouri. Lindenwood
University.
Ouzzani, M., Hammady, H.,
Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—a web and mobile app for
systematic reviews. Systematic Reviews, 5, 1–10.
Sneed, H., & Verhoef, C.
(2019). Re-implementing a legacy system. Journal of Systems and Software,
155, 162–184. https://doi.org/10.1016/j.jss.2019.05.012
Tohirin, R., Sohiron, D. H.,
& Amir, R. Z. (2021). Indigenous Counseling and Multiculture Learning at
Secondary Schools in 3T Region (Left behind, Frontier, and Outermost) in
Indonesia. The First HISPISI’s International Conference on Humanities,
Education, Law, and Social Sciences “New Findings during Pandemic in Social
Science, Humanities, Education and Law, 1.
|
© 2022 by the authors. Submitted for possible open access
publication under the terms and conditions of the Creative Commons
Attribution (CC BY SA) license (https://creativecommons.org/licenses/by-sa/ 4.0/). |