cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
jurnal.josh@gmail.com
Phone
+6282161108110
Journal Mail Official
jurnal.josh@gmail.com
Editorial Address
Sekretariat Forum Kerjasama Pendidikan Tinggi (FKPT) Jalan Sisingamangaraja No. 338, Medan, Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2686228X     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 754 Documents
 22   23   24   25   26 
Implementasi Sistem Identifikasi Senjata Real Time Menggunakan YOLOv7 dan Notifikasi Chat Telegram Muhammad Rizqi Sholahuddin; Firas Atqiya; Sri Ratna Wulan; Maisevli Harika; Sofy Fitriani; Yusuf Sofyan
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2774

Abstract

This research produces an application that can send automatic notifications in the form of a chat on the Telegram platform when a weapon object is detected on CCTV. This application was created utilizing computer vision technology and artificial intelligence, in particular YOLOv7. As demonstrated by the mAP@0.5 value of 0.837 after 50 epochs of training, this application can detect weapon objects such as people, pistols, and knives with a reasonable degree of accuracy. This application is also linked to the telepot library, which enables it to send chats on the Telegram platform. These applications can aid in enhancing security and safety in a variety of environments and have numerous practical applications in fields such as public safety, law enforcement, and others. However, there are still deficiencies in this study that can be addressed in future research, such as the small number of training epochs and the size of the dataset.
Evaluasi Tingkat Keberhasilan E-Learning Smart Campus Menggunakan Metode HOT FIT Muhammad Munawir Arpan; Febi Nur Salisah; Idria Maita; Fitriani Muttakin
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2795

Abstract

E-learning Smart Campus is a website that is used as an electronic learning system. Smart Campus e-learning began to be implemented at STIFAR Riau in 2018. In this study there were several problems during its use not all lecturers used it, frequent errors occurred, lack of training for system users, difficulty uploading assignments to the system. The purpose of this research is to determine the success rate of implementing Smart Campus e-learning and to provide suggestions for improvements to become a better system for the future. The method used to measure the success rate of Smart Campus e-learning is the HOT Fit method. Respondents in this study were students and lecturers of STIFAR Riau with a total sample of 313 respondents. For data processing using the SEM-PLS technique with SmartPLS software. The results of testing the successful implementation of STIFAR Riau E-learning from the 12 hypotheses used obtained the highest value, namely the variable User Satisfaction on Net Benefit with a T-Stasistic value of 7,494. This means that the better the User Satisfaction, the higher the System User in using the Smart Campus Riau E-learning System.
Penerapan Quality Function Deployment (QFD) Pada Desain Smart Aquaculture Untuk Sektor Tambak Udang Vaname Berbasis IOT Budi Setiawan; Nico Surantha
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2806

Abstract

In entering the era of industry 4.0. where the internet world has the main role as a link to every device to collect and analyze data. Internet Of Things (IOT) technology can optimize previous technologies. In the fishing industry, Indonesia has the potential for fishery land in 2020 of 1,201,275 ha. The large area of water area in Indonesia has potential for aquaculture such as vannamei shrimp. Water quality such as pH, turbidity level and shrimp feeding schedule in ponds are closely related to shrimp health conditions. The existence of good water quality management can maintain water quality in order to increase pond productivity. Technology and information integration through paired IOT sensors will transmit data collected in the field to cloud computing via internet-based radio frequency networks through virtualization. This study aims to design a realtime IOT-based shrimp pond monitoring system. The Quality Function Deployment (QFD) method is a method that aims to plan and develop products according to needs and desires of consumers. This method begins with making a matrix of consumer needs and desires for the cultivation of Vaname Shrimp ponds. From this data a House of Quality matrix will be created which contains any technical interests needed. For the evaluation results of the questionnaire based on the analysis of the answers given by the respondents, the questionnaire that has been made can be used as a reference so that the proposed system design can be realized to overcome Vaname Shrimp ponds in order to improve the quality and quantity of vannamei shrimp harvest, cultivate effectively and efficiently, and facilitating the supervision of pond managers on pond water quality, feeding and feed availability.
Evaluasi Usability Pada Sistem Website Absensi Menggunakan Metode SUS Isnaeni Rachmawati; Resad Setyadi
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2868

Abstract

Information technology (IT) is currently experiencing rapid development and is able to provide convenience such as solutions for organizations such as implementing a system at the Serayu Citanduy Water Resources Management Office, namely the field employee attendance website system. This system functions to monitor and provide services related to the field of employee attendance. However, there are still obstacles, namely the lack of attention to usability aspects, one of which is that there are still several features and buttons that have not been completed. Therefore, this study aims to evaluate usability related to the field employee attendance website system using the System Usability Scale (SUS) method. The SUS method is useful for assessing a system from a usability perspective by evaluating it as in this study. The research data was obtained by distributing questionnaires to 56 users. Before carrying out calculations using the SUS method, first calculate validation and reliability, validation of this questionnaire produces valid results and reliability, namely 0.613 means that it is reliable, so that research can run well. the level for the Value Scale is on a D scale with an average final score based on the calculation of the SUS method, namely 58.35 and the position of the last adjective branch is at the "ok" level. make improvements to improve usability such as developing by paying attention to the user interface, completing and selecting features on the button so that it functions properly and needs to be evaluated.
Sistem Manajemen Inventori Gadget dengan Metode Waterfall Yamin Nuryamin; Eko Setia Budi; Abdul Rahman Kadafi
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2901

Abstract

Stock management system online can do supervision for the better.Lack of supervision be negative effects for the acceptance or expenditure so management reporting and oversight of the use of goods delayed.The purpose of this research has persediaan management information system in use of terjun mhk gadgets that can be accessed and supervised online.Design system using the unified modelling language, programming language and mysql php database.Research it produces persediaan management information system that provides information goods in and freight out and facilitate report receipts and disbursements goods, so that the be stock the information can be conducted easily.
Analisis Perbandingan Akurasi Pre-Trained Convolutional Neural Network Untuk Klasifikasi Kelompok Usia Pengunjung Rumah Sakit Arnes Sembiring; Sayuti Rahman; Dodi Siregar; Muhammad Zen; Suriati Suriati
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2913

Abstract

Children are not allowed to visit the hospital. Children should not visit the hospital for two reasons, namely the patient's side and the child's side. On the patient's side, patients need peace of mind during treatment and recovery. The noise generated by children makes the atmosphere not conducive and increases the patient's stress level. On the child's side, there are two factors, namely immunity, and trauma. Children have incomplete immunity so they are easily infected by viruses and bacteria. A child's immune disorder will harm the child's development. Apart from viruses and bacteria, in hospitals, there are also patients with major injuries such as those resulting from accidents. Children who see these large wounds can traumatize themselves and interfere with the child's growth and development. The age classification of visitors supports for hospital management to limit visitors based on age. Visitors categorized as children are visitors aged 12 years or younger. The method used for age group classification is the pre-trained CNN, including Alexnet, VGGNet, GoogleNet, ResNet, and AqueezeNet. We conducted a preliminary study using the All-Age-Faces (AAF) dataset as test data that represents the age of hospital visitors. The dataset is divided into two classes, namely children and adults. Based on the SqueezeNet test, it is a better method in terms of training accuracy and validation. Based on the order of accuracy validation, SqueezeNet succeeded in recognizing age groups with an accuracy of 93.09%, VGGNet 92.72%, AlexNet 91.44%, GoogleNet 90.92%, and ResNet 90.62%. This research is expected to contribute to helping control visitors to the hospital.
Implementasi Metode Accrual Basis Pada Sistem Informasi Keuangan Khofifah Haq; Suendri Suendri
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2924

Abstract

The financial recording system is carried out in the school diary, so it takes time to recap the revenue or expenditure records in order to find out the amount of funds that have been received or spent. This is less time efficient in presenting financial statements. This study aims to apply the accrual basis method to the financial accounting information system of MIS Nurul Huda Sei Paham and build a web-based financial accounting information system at MIS Nurul Huda Sei Paham. This research uses the research and development method or commonly known as R&D which has several stages, namely potential and problems, data collection, product design, design validation, design revision, product trials, product revision, trial use, final product revision, and mass production. However, this research only reached the product trial stage. System testing uses a questionnaire which is divided into 3 parts, namely expert experts, field tests and prospective users. From the results of the expert questionnaire assessment, a value of 3.8 was generated which indicated a fairly valid category, the field test questionnaire assessment resulted in a value of 4.0 which indicated a valid category and an assessment of a questionnaire of 10 prospective users resulted in a value of 80 which indicated an effective category. it can be concluded that the financial accounting information system using the accrual basis method at MIS Nurul Huda Sei Paham has run well according to school needs and can help present financial reports quickly.
Penerapan Algoritma K-Medoids Untuk Clustering Prioritas Penerima Beasiswa Agus Iskandar
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2927

Abstract

Scholarships are a form of appreciation given to students. In college scholarships that are usually given are scholarships from foundations. The limited number of foundation scholarships provided by tertiary institutions is certainly a separate problem for elements of leadership or management. The problems encountered must be resolved as well as possible. Therefore, it is necessary to group students who are prioritized to get foundation scholarships. The process of determining priority levels for students receiving foundation scholarships has become a new problem for the management team. The process of solving the problem can be done by processing the data. Data mining is a data processing process for extracting information stored in datasets. In data mining, the process of grouping data for the priority determination process is included in the clustering technique. K-Medoids is part of clustering data mining. K-Medoids is used in data mining for the grouping process in forming clustering. The K-Medoids algorithm can help simplify the process of forming priority clusters. In this case there are 5 alternatives included in Cluster 1 and 5 alternatives included in Cluster 2. With the formation of clusters from the K-Medoids algorithm process it can be easily in the decision making process.
Penerapan Multiply With Carry Generator pada Proses Pembangkitan Kunci Algoritma Beaufort Cipher Taronisokhi Zebua
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2928

Abstract

The strength of the algorithm used in data security does not only depend on the complexity of the algorithm used, but lies in the randomness and complexity of the key solving used. The repetition of the same character in the formation of a key used by a data security algorithm is very vulnerable to attack, because it can make it easier for attackers to break the algorithm itself. One of the commonly used data security algorithms is the comfort cipher algorithm. The number of key characters needed in this algorithm is directly proportional to or equal to the number of characters of text or data that is secured. Using a number of key characters like this allows the repetition of the same characters, making it easier for attackers to find out the pattern of the keywords used. Based on this, random key generation is necessary to optimize the robustness of the algorithm used. Multiply with carry generator is a random number generation technique that has advantages in speed and length of randomization cycle so that it has more seed variations to the generated random numbers. This study describes how to apply this random number generation method to generate keywords used in the beaufort cipher algorithm, so that the keys used can be more optimal and more complicated for attackers to crack.
Analisa Sentimen Pengguna Transportasi Jakarta Terhadap Transjakarta Menggunakan Metode Naives Bayes dan K-Nearest Neighbor Ismia Iwandini; Agung Triayudi; Gatot Soepriyono
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2937

Abstract

Social media used in communicating that is very popular in Indonesia. One of the most popular is Twitter. Twitter is a social media site where people can share information publicly. This information can be processed to make sentiment analysis. This research attempts to create a system that can detect positive or negative sentiments in public information. The method used for this sentiment classification is the comparison method of Naive Bayes Classifier and K-Nearest Neighbor Classifier using TF-IDF weighting. The input to this system is in the form of tweet data for Transjakarta, while the output of this system is in the form of visualization of positive and negative sentiment data using Streamlit which is a library from python. Based on testing the accuracy of the Naive Bayes approach for sentiment analysis of Twitter data related to the use of Transjakarta transportation is 61.1%, and the accuracy of the K-Nearest Neighbor method is 75.7%. For the two methods used in determining the level of accuracy, it can be concluded that the K-nearest-neighbor method produces better accuracy.

Page 24 of 76 | Total Record : 754

 22   23   24   25   26 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7 No 1 (2025): Oktober 2025 Vol 6 No 4 (2025): Juli 2025 Vol 6 No 3 (2025): April 2025 Vol 6 No 2 (2025): Januari 2025 Vol 6 No 1 (2024): Oktober 2024 Vol 5 No 4 (2024): Juli 2024 Vol 5 No 3 (2024): April 2024 Vol 5 No 2 (2024): Januari 2024 Vol 5 No 1 (2023): Oktober 2023 Vol 4 No 4 (2023): Juli 2023 Vol 4 No 3 (2023): April 2023 Vol 4 No 2 (2023): January 2023 Vol 4 No 1 (2022): October 2022 Vol 3 No 4 (2022): Juli 2022 Vol 3 No 3 (2022): April 2022 Vol 3 No 2 (2022): Januari 2022 Vol 3 No 1 (2021): Oktober 2021 Vol 2 No 4 (2021): Juli 2021 Vol 2 No 3 (2021): April 2021 Vol 2 No 2 (2021): Januari 2021 Vol 2 No 1 (2020): Oktober 2020 Vol 1 No 4 (2020): JULI 2020 Vol 1 No 3 (2020): April 2020 Vol 1 No 2 (2020): Januari 2020 Vol 1 No 1 (2019): Oktober 2019 More Issue