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Pendampingan Penggunaan Aplikasi Budgeting Pada PT Jaya Selalu Juwana Jawa Tengah Guna Meningkatkan Pendapatan Usaha
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 8
, No 1
(2024)
The emerging issue in the latest technological advancements has become the most powerful mechanism for advancing living standards and environmental sustainability in the era of the 4.0 revolution, leading to the Society 5.0 era. The combination of technology, which also focuses on humans, will be balanced to advance economic growth. PT Jaya Selalu Juwana, located in Central Java, is a cold storage company engaged in the export of fresh products. This dedication to society is expected to increase...
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Application of Learning Cycle 7e on Environmental Pollution Material Toward Students' Interest and Learning Outcomes in Class X
JOURNAL OF BIOLOGY LEARNING
Vol 6
, No 1
(2024)
This study aims to describe the learning interest and cognitive learning outcomes of students with the Learning Cycle 7E learning model on environmental pollution material. This research uses a quantitative approach with the type of Pre-Experimental Design and One Group Pretest-Posttest design. The research sample was all students of class X SMA Negeri 1 Antang Kalang. The research instruments included learning interest questionnaire, cognitive learning outcomes test, and learning applicability...
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Effectiveness Stimulus Environment Problem Solving Learning Model for Increase High-level Thinking Skills
JOURNAL OF BIOLOGY LEARNING
Vol 6
, No 1
(2024)
Learning with Stimulus Environment Problem Solving (SEPS) is an involved learning process student in a way active good in network nor outside network in reading, writing, doing experiment, and analyze, as well look for solution to the problem social related science environment public. This study aims to know the effectiveness of the Stimulus Environment Problem Solving (SEPS) learning model so that can increase ability think level high among students biology education Universitas Muhammadiyah S...
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The Relationship Between Student Learning Motivation and Student Perceptions on Teacher Learning and Science Learning Outcomes at MTS Negeri 2 Surakarta
JOURNAL OF BIOLOGY LEARNING
Vol 6
, No 1
(2024)
The purpose of this research is to determine the relationship between student learning motivation and student perceptions of teacher learning with student learning outcomes. The research method used is a survey method with correlational analysis. The population used was students in class VIII of the Special Science Class Program at MTs Negeri 2 Surakarta. The sampling technique is a sample population with a sample of 83 students, data collection techniques are carried out using questionnaires, i...
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The Influence of Reading Habit on The Science Learning Outcomes of Class VII Even Semester Students at MTS Negeri 2 Surakarta
JOURNAL OF BIOLOGY LEARNING
Vol 6
, No 1
(2024)
Literacy skills especially reading in Indonesia are still low. To improve reading literacy, literacy training can be done before learning. Literacy reading habits can be done with 15 minutes of reading material before learning begins. The aim of this research is to determine the effect of reading habits on the science learning outcomes of class VII students in the even semester at MTs Negeri 2 Surakarta for the 2023/2024 academic year. This research method is a quantitative descriptive method. T...
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The Feasibility of PBL-based LKPD accompanied by KPS on Environmental Change Material Class X: The Feasibility of PBL-based LKPD accompanied by KPS on Environmental Change Material Class X
JOURNAL OF BIOLOGY LEARNING
Vol 6
, No 1
(2024)
The change in the Merdeka Curriculum has made learning tools in various subjects including biology in class X inadequate. This study aims to determine the feasibility of Problem-Based Learning (PBL) based LKPD (student worksheet) accompanied by Science Process Skills (KPS) on the material of environmental changes in class X. The development model refers to the research and development (R&D) method with 5 stages. The stages are potential and problems, data collection, product design, design v...
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Enhancing the Random Forest Model via Synthetic Minority Oversampling Technique for Credit-Card Fraud Detection
Aghware, Fidelis Obukohwo
; Ojugo, Arnold Adimabua
; Adigwe, Wilfred
; Odiakaose, Christopher Chukwufumaya
; Ojei, Emma Obiajulu
; Ashioba, Nwanze Chukwudi
; Okpor, Margareth Dumebi
; Geteloma, Victor Ochuko
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
Fraudsters increasingly exploit unauthorized credit card information for financial gain, targeting un-suspecting users, especially as financial institutions expand their services to semi-urban and rural areas. This, in turn, has continued to ripple across society, causing huge financial losses and lowering user trust implications for all cardholders. Thus, banks cum financial institutions are today poised to implement fraud detection schemes. Five algorithms were trained with and without the app...
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Efektivitas Pelaksanaan Program Pemutihan Pajak Kendaraan Bermotor Di Provinsi Riau
Jurnal Media Administrasi
Vol 9
, No 1
(2024)
There are many taxpayers who have not paid their motor vehicle tax, even though the aim of the motor vehicle tax reduction program in Riau Province is so that taxpayers pay their motor vehicle tax after the tax payment period has passed. This research aims to see how effectively the motor vehicle tax reduction program in Riau Province has been running. The research method this time is using a qualitative research method. The reason the researcher used a qualitative research method was so that th...
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Enhancing Lung Cancer Classification Effectiveness Through Hyperparameter-Tuned Support Vector Machine
Gomiasti, Fita Sheila
; Warto, Warto
; Kartikadarma, Etika
; Gondohanindijo, Jutono
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precisi...
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RETRACTED: The Use of AI to Analyze Social Media Attacks for Predictive Analytics
Adekunle, Temitope Samson
; Alabi, Oluwaseyi Omotayo
; Lawrence, Morolake Oladayo
; Ebong, Godwin Nse
; Ajiboye, Grace Oluwamayowa
; Bamisaye, Temitope Abiodun
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
This article has been retracted at the request of the Editor-in-Chief.
The journal was alerted to issues within this article, including significant overlap in content, methodology, and visual materials with another previously published article: "Social Engineering Attack Classifications on Social Media Using Deep Learning" (DOI: 10.32604/cmc.2023.032373) published in Computers, Materials & Continua in 2023.
Upon thorough investigation, it was found that the article substantially reproduces i...
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