JOURNAL OF INNOVATION AND DEVELOPMENT OF COMMUNITY SERVICE RESULTS

e-ISSN 3025-2334

Vol 1(1), June 2023, 30-34
DOI: https://doi.org/10.61650/jip-dimas.v1i1.182
a s s yf a . c o m

Statistical Application Training for Students for Thesis
Preparation
Umy Zahroh 1 , Lativa Hartiningtyas 2
1, 2, Sayyid Ali Rahmatullah State Islamic University Tulungagung, Indonesia

* Corresponding author: umy.z@uinsatu.ac.id

KEYWORDS
Statistics Applications
Student Training
Implementation of the
Thesis
SUBMITTED:03/23/2023
REVISED: 03/25/2023
ACCEPTED: 03/28/2023

ABSTRACT This research is motivated by the condition that many final-year students
still need to complete their studies on time due to a lack of understanding about how
to complete a thesis. One of the research approaches used to work on a thesis is
quantitative. A quantitative approach is research that analyses data in numbers and
attempts to interpret the analysis results. This research uses a type of action research
to provide training to final-year students in analyzing data assisted by statistical
applications so that it can make it easier for students to complete their thesis. The
results of this research are that students' understanding of quantitative data
processing has increased compared to before the training was implemented. Students
feel this training can help them complete their thesis and graduate on time .
© The Author(s) 2023.

1. INTRODUCTION
Preparing a thesis requires undergraduate
students to complete their studies (Newman, 2022;
Tedesco-Schneck, 2021). A thesis can also be
considered research with a topic adapted to the
scientific field one is pursuing (Bellocq, 2020;
Robertson, 2017). Students must prepare a
systematic research report from the background
that underlies the research carried out to the
conclusions obtained (Krisdiana, 2019; Lea et al.,
2011). Students can use various types of approaches
according to the research topic they want to
research.
One research approach that can be taken is
quantitative (Hasanah et al., 2022; Humaidi et al.,
2022; Mustakim et al., 2023). The quantitative
approach aims to analyze the data that has been
collected (Inganah et al., 2023), both primary data
(Mustafa et al., 2023; Vidyastuti et al., 2018) or
secondary (Riono et al., 2023) y, in specific ways by
the problem formulation and research hypotheses
that have been proposed (Usmiyatun et al., 2021).
Quantitative research itself is closely related to
statistics (He, 2019). The science of (Wu, 2018).
Statistics is used to develop methods used to solve
problems that are often related to data or numbers
The data collection process for analysis is

obtained by students in descriptive and inferential
statistics (Nisa et al., 2019; Sen, 2017). A data
analysis aims to process (Nuryati et al., 2022),
present (Novitasari, 2019), and conclude the
research results. It can also be used to understand
the meaning of a data set, starting from grouping it
(Astuti, 2021), processing it, and serving it. To
present statistical data, software to obtain
conclusions from the results of the analysis
(Deryhlazov et al., 2017; Ferguson, 2020).
Based on the results of observations and
interviews with students and thesis supervisors,
several students have difficulty completing their
studies on time because they find it challenging to
compose their thesis, especially in the data analysis
section (Jannah et al., 2023; Widodo et al., 2023).
They consider data analysis tricky and take quite a
long time, so they choose not to complete it
immediately (Lubis et al., 2023; Lutfi & Haris, 2021).
However, knowing and understanding how to
analyze data properly and correctly can be done
quickly and easily. Moreover, nowadays, many data
analysis applications are easy to use and produce
accurate interpretation results.
Various software used by a quantitative
researcher such as AMOS (Popovici, 2017), SmartPLS
(Kariadinata, 2017), Eviews (Poon, 2018), Minitab

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Umy Zahroh, Lativa Hartiningtyas ││ Statistical Application Training for Students to Prepare for Thesis Implementation...

(Birgin, 2021), and SPSS (Triet, 2020). However, the
sophistication of these applications cannot be used
optimally if users do not understand the steps for
analyzing data. To understand, a person must be
able to analyze (Zulnaidi, 2017).The ability to
analyze or divide something into its parts and
explain their relationship (Alhammad, 2018). Every
student does not necessarily have the same
analytical skills despite receiving the same
treatment, so an educator must accompany his
students in achieving learning goals.
Learning objectives are obtained directly when
programming the thesis course (In’am et al., 2023; R
Maghfiroh et al., 2023). This is because the answers
in the problem formulation cannot be obtained with
the raw data that has been collected. They need to
process the raw data through an analysis process,
using either descriptive or inferential statistics (E
Safitri et al., 2023; Rizqi et al., 2023). Therefore, to be
able to complete a thesis on time, a student must be
able to develop the ability to analyze data in
preparing a thesis
Based on the results of this presentation,
considering the importance of the ability to carry out
data analysis, the researcher will conduct training
using statistical software, namely SPSS and AMOS, to
help process and analyze statistical data, which is
part of the thesis writing for students of the Faculty
of Islamic Economics and Business, UIN Sayyid Ali
Rahmatullah Tulungagung.

2. METHOD
This community service activity uses a
training method, namely by training final-year
student service participants to analyze data using
statistical applications. The stages of service
activities can be seen in Figure 1.
Compile

Evaluate

Prepare

3. RESULTS AND DISCUSSION
Statistics Applications
Apart from the SPSS application program,
there are several other application programs, such
as AMOS (Arifin, 2021; Cahyani & Wardoyo, 2022;
Ridwan, 2023). AMOS, which stands for Analysis
Moment of Structural, is a program designed to
complete Structural Equation Modeling (SEM)
(Purwanto et al., 2021). AMOS is an easy-to-use
operating system that is widely used in Indonesia.
The AMOS application program is also integrated
with SPSS with one development company, IBM
(International et al. Corporation) (Sinambela &
Rombe, 2021). The AMOS application facilitates
data processing with more complex and detailed
multivariate analysis to make interpretation more
accurate.
Need for Statistical Applications
Based on the aim of implementing service
activities, namely, to improve students' abilities in
using statistical applications for processing thesis
data, the stages carried out are as follows:
Needs Analysis. The training participants need
this training with the following considerations: 1) .
Lack of understanding of how to process and
analyze data; 2)—lack of knowledge about using
statistical software, both SPSS and AMOS.
Service Activity Plan
The determination of this service design has
considered the following aspects, namely:
a. Contents of training materials that are relevant
to the needs of the training participants;
b. Training participant background, for example,
educational background, cultivation experience,
age, and so on;
c. The material used in this training was created to
help participants understand the benefits of
using statistical software, SPSS, and AMOS. At
this stage, training modules are prepared to
support the training. The module also makes it
easier for students in research activities to
operate SPSS and AMOS statistical applications.
Implementation of Service

Carry out

Coordinate

Figure 1Stages of Statistical Application Training

Figure 1 shows the steps in assisting students
in using statistical applications. These steps are
explained in five stages: 1) compiling a statistical
application training module; 2) preparing the
facilities to be used, namely the Statistics
Laboratory; 3) coordinating the implementation of
these activities, namely students who will take part
in the training; 4) organize training activities that
will be participated in by students; and 5)
implementation of evaluation of training activities.

In order to develop the training program, the
community service team has attempted to develop
this training, both in terms of material and questions
and answers in a form relevant to the development
of the use of statistics as a tool in economic and
business research. The steps taken at this stage are
to prepare training facilities and facilities first.
Research activities were carried out at the FEBI UIN
SATU Statistics laboratory. In this laboratory, the
Windows operating system is undoubtedly installed,
and the statistical applications used are SPSS and
AMOS (Priatna, 2008; Yan et al., 2022).
Next, the participants began carrying out
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Umy Zahroh, Lativa Hartiningtyas ││ Statistical Application Training for Students to Prepare for Thesis Implementation...

research based on the guidelines in the training
module. The speaker provides a general explanation
of the SPSS and AMOS applications and what
differentiates them. In the first activity, the training
focuses on the SPSS application first. Students who
have taken research data for their thesis can use
their data to process it using the SPSS application.
Meanwhile, students who have not taken data can
use fictitious data for practice. Next, after data
analysis using the SPSS application, the presenter
guides how to read and interpret the data.
Devotion Evaluation
In quantitative research, a fundamental thing
is proposing and testing research hypotheses. So, the
way to interpret the data is whether the proposed
hypothesis is accepted or rejected and what
conclusions must be drawn after being able to
interpret the data. Next, the second meeting was to
use the AMOS application to process data
(Hospedales et al., 2021; Sinta et al., 2019). The
AMOS application requires a more detailed
explanation because many students are not yet
familiar with this application. There needs to be an
explanation of what is meant by a structural model
in multivariate analysis (Balasopoulou et al., 2017).
After this training, students seemed enthusiastic and
interested in using the AMOS application in their
thesis. The AMOS application can process data with
more variables and produce a more detailed
structural model. With the AMOS application,
research results are considered to have more
novelty value than research that has been carried
out previously.
Implementation of community service
activities related to efforts to increase students'
abilities in using statistical applications was carried
out in 2 meetings. So, to see the extent of the
increase in FEBI UIN SATU students' understanding
of the operation of statistical applications, it does not
appear to be very significant. However, the main
note from the activity organizers is that this training
can provide students with insight into various types
of research and statistical analysis to process data.
This training can also change the thinking of
students who think statistics is difficult and are
reluctant to carry out quantitative research. Apart
from that, it can also be seen that students desire to
learn statistics and its applications. So, the goal is to
change students' mindsets and views toward
quantitative research.

4. CONCLUSION
Community service activities regarding
training using statistical applications in preparing
theses have gone well. This activity gives students
new insights into various types of research and
statistical applications. In addition, the perception
that statistical analysis is complex has changed.
Students feel that the existence of these statistical

applications makes it easier to process and
interpret data. Students also begin to understand
that statistical application similarities and
differences have specific functions and goals. They
also understand that each application has
advantages and disadvantages, which can be used
according to the data to be analyzed.
Training
activities
using
statistical
applications can be carried out simultaneously
and continuously in order to facilitate students in
preparing their thesis. This activity is expected to
help students graduate on time and not
experience obstacles and difficulties working on
their thesis, especially at the data collection,
processing, and interpretation stages.

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a

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