cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Jumanto
Contact Email
jumanto@mail.unnes.ac.id
Phone
+6281339762820
Journal Mail Official
josre@shmpublisher.com
Editorial Address
Jl. Karanglo No. 64 Gemah, Pedurungan, Kota Semarang
Location
Kota semarang,
Jawa tengah
INDONESIA
Journal of Student Research Exploration
Published by shm publisher
ISSN : 29641691     EISSN : 29648246     DOI : https://doi.org/10.52465/josre.v1i1
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
The Journal of Student Research Exploration aim publishes articles concerning the design and implementation of computer engineering, information system, data models, process models, algorithms, and software for information systems. Subject areas include data management, data mining, machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. We welcome system papers that focus on application domains, Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 2: July 2023" : 6 Documents clear
The application of the tsukamoto fuzzy method in controlling the dryer for shrimp cracker hygienization Tyas, Kusumaningtyas; Ubaidillah Ms, Achmad; Rahmawati, Diana
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.143

Abstract

The process of drying crackers is traditionally carried out on the side of the road and open places. The impact of drying on product quality, especially hygiene because it is directly contaminated with dust, pollutants and pathogenic microbes. Drying depends on the sun's heat which affects the continuity of production and the level of drought. How to identify food hygiene using an inductive proximity sensor functions as a metal content detector. Because the metal content when ingested by humans is very dangerous. Drying is affected by temperature, moisture content and capacity. Oven drying application is equipped with an inductive proximity sensor and a DS18B20 temperature sensor. The Fuzzy Tsukamoto method for weight problems is grouped into a separate set. So that it can process oven temperature data. The control system for drying 3 shelves of crackers totaling 250 takes 25.6 minutes, drying 5 shelves of crackers totaling 410 takes 31.6 minutes. The drying process temperature is 30OC-70OC, the temperature used is a minimum of 60OC and a maximum of 65OC. Drying near the maximum temperature experiences a slowdown. If drying is done traditionally with the help of sunlight it takes longer.
Purchasing decision behavior of kudus residents on amanda brownies Firda, Shynes; Lusianti, Dina; Faidah, Faridhatun
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.146

Abstract

This study aims to analyze the effect of brand image, price perception, and product quality on purchasing decisions for Amanda Brownies Kudus products. The problem in this study is that there was a decrease in the percentage of the top brand index value for the branded brownies category carried out by the frontier consulting agency, price perception by consumers who judge Amanda's brownies to be more expensive than another competitor. Several consumer reviews state that the quality of brownie products is still lacking. The sample in this study amounted to 110 respondents, using a purposive sampling technique. This study uses multiple linear regression analysis. The results of this study indicated that brand image has a positive and significant effect on purchasing decisions, price perceptions have a negative and insignificant effect on purchasing decisions, and product quality has a positive and significant effect on purchasing decisions. Brand image, price perception, and product quality positively and significantly affect purchasing decisions.
Performance and quality measurement of internet network services at muhammadiyah university of surakarta's faculty of health sciences with QOS parameter Lathifah, Firasyana; Fadhil Musyaffa, Ariq
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.148

Abstract

In this fully digital age, a lot of individuals require an internet connection. A reliable network must be able to handle this need. Therefore, a stable network needs to establish and maintained correctly. A reliable internet connection is required at Muhammadiyah University of Surakarta's Faculty of Health Sciences to enhance student and lecturer activities in the educational process. This study will analyze the University of Muhammadiyah Surakarta's Faculty of Health Sciences internet network quality. Using Quality of Service (QOS) methods, the study estimated the quality performance of the existing network. The test measures the throughput, jitter, delay, and packet loss parameters using Wireshark. The result revealed that the Faculty of Health Sciences at University of Muhammadiyah Surakarta had a very good internet network, with a throughput value of 403.487 kbit/s with an index of 4 indicates an Outstanding category, a packet loss value of 6.2% with an index of 3 indicating a good category, a delay value of 16.691 ms with an index of 4 indicates an Outstanding category, and the last is the jitter value of 0.04913 ms with an index of 3 indicating an Outstanding category. Overall, the QoS value of internet network services at the Faculty of Health Sciences, University of Muhammadiyah Surakarta, is 3,5 or 87.5% in the satisfactory category.
Application go-sport as a solution to search information on facilities, places, partners, and sports events for students Rofik, Rofik; Anggraini, Tasya Fitria; Prasetiyo, Budi; KA, Cecep Bagus Suryadinata
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.164

Abstract

Sport is a physical and mental activity that is beneficial for people to maintain the body and develop the quality of health. This makes exercise an activity that needs to be done for everyone to maintain their stamina. However, the lack of information about places, facilities, partners, and sports events is a strong reason in terms of reducing student motivation in carrying out sports activities themselves. The purpose of this research is none other than to design an application that can help students get all sports information. These things are none other than to foster a strong desire to do sports activities. Through technology smartphone which has been owned by the wider community, this research creates a solution by designing an application called "Go-Sport". This study uses the "Design Thinking" method, which focuses on finding and understanding user needs to obtain an optimal solution in the form of the results of the features to be made. From this research, a design or prototype of the "Go-Sport" application was produced which is ready to be implemented and tested on users.
Increased accuracy in predicting student academic performance using random forest classifier Mulyana, Aditya Fajar; Puspita, Wiyanda; Jumanto, Jumanto
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.169

Abstract

This research aims to classify the academic performance of students who are successful and who have dropped out of school with high accuracy so that these matters can be addressed quickly. Things like this need fast handling to find out what factors influence it. In addition, this research was conducted to test how good the random forest algorithm is in classifying a problem. Random forest, which includes an algorithm that is commonly used for classifying a problem. By using the random forest algorithm, the accuracy results will be better than a single decision tree. This algorithm is quite good at handling and managing large datasets. From this study it can be concluded that this method can provide good prediction accuracy with a fairly high level of accuracy, namely 89%. Utilization of this random forest can be an alternative in classifying student academic achievement. This algorithm can work well in handling large datasets. This study discusses how the use of Random Forest can work to classify students' academic performance.
Comparison of KNN, naive bayes, and decision tree methods in predicting the accuracy of classification of immunotherapy dataset Reska, Nadhifa; Tsabita, Khansa
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.170

Abstract

Health is crucial for humans to carry out daily activities, and cancer is the second leading cause of death worldwide. Maintaining health is essential in minimizing factors associated with cancer. Immunotherapy is a new cancer treatment technique that has s shown a bigger success rate compared with conventional techniques. However, the effectiveness of this method depends on accurate diagnosis, which requires deeper analysis and research on classification methods. This study compares the accuracy of KNN, Naive Bayes, and Decision Tree classification methods in predicting the accuracy of immunotherapy treatment. The goal is to find the most effective classification techniques that can provide more accurate predictive results in treating diseases using immunotherapy. Based on the test results of Naive Bayes, Decision Tree, and K-Nearest Neighbor, the result obtained of accuracy rates are 81.11%, 80.00%, and 74.44%. From the accuracy comparison, it is known that the Naive Bayes algorithm is the most effective algorithm with the highest accuracy value of 81.11%.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2025): July 2025 Vol. 3 No. 1 (2025): January 2025 Vol. 2 No. 2: July 2024 Vol. 2 No. 1: January 2024 Vol. 1 No. 2: July 2023 Vol. 1 No. 1: January 2023