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 803 Documents
 49   50   51   52   53 
Sistem Klasifikasi Keanekaragaman Tanaman Pangan Menggunakan Transfer Learning Pendekatan CNN dan Model Arsitektur EfficientNetB7 Setyawan, Akhmad Fajar; Hasani, Rofi Abul; Arumi, Endah Ratna
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5577

Abstract

Plant species identification is a crucial aspect in agriculture and forestry, significantly impacting food production, environmental conservation, and scientific research. The difficulty in identifying plant species can be caused by several factors, such as high morphological diversity, similarities between species, and changes in plant morphology due to different environmental conditions. This study uses a deep learning approach with the EfficientNetB7 architecture to solve the problem of plant identification. The dataset used consists of 30,000 images representing 30 plant species, each with 1,000 images. The model was trained using transfer learning techniques, tested on two scenarios classification with 4 plant classes and 30 plant classes. Results showed an accuracy of 97% with a loss of 0.24 for 4 classes, and an accuracy of 85% with a loss of 1.1 for 30 classes. The higher loss value in the scenario with 30 classes was due to the increased complexity and greater diversity of data. The evaluation results showed that the EfficientNetB7 was effective in classifying plant species with a high level of accuracy. It’s expected that model can be implemented to improve efficiency in plant maintenance and management. Convolutional Neural Network (CNN) architecture greatly influences the results of image classification. CNN is generally divided into two stages feature extraction using convolution layers and classification using artificial neural networks. The sixth CNN succeeded in achieving the highest accuracy in batik motifs, which was 87.83%. This model was good performance on precision and recall metrics.
Implementation and Analysis of Profiling Mechanism for Anonymity and Privacy on Whonix Operating System Batunanggar, Yana J S; Widjajarto, Adityas; Kurniawan, M Tegoeh
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5682

Abstract

This research will implement anonymity using the Whonix operating system. This research seeks to analyze the features of the Whonix operating system that can support anonymity and privacy profiling, the function of anonymity and privacy profiling on the operating system, and the character of the operating system capable of maintaining anonymity and privacy. Features owned by the Whonix operating system that support anonymity and privacy profiling on Whonix are application, network, and operating system aspects, as well as analyzing anonymity and privacy functions with metrics. This research produces metrics on each aspect. The application aspect obtained metrics of data encryption, metadata protection, and privacy by design by analyzing profiling experiments on KeePassXC and GnuPG applications. The network aspect uses Tor compatibility, IP Address obfuscation, and logging policy metrics by analyzing profiling experiments on Wireguard and DNSLeakTest. While the operating system aspect uses data encryption, logging and monitoring, and access control metrics by analyzing profiling experiments with fingerprinting and backup and restore scenarios. The results of this study obtained scoring profiling of the Whonix operating system, application aspect profiling scenarios with a score of 1o, network aspects with a total score of 11, and operating system aspects with a total score of 10. So it is obtained from the results of this study that all aspects of the application, network, and operating system were successful by 97% as measured based on the measurement metrics of each aspect.
Personalized Ontology-based Food Menu Recommender System for Bodybuilders using SWRL Rules Hakim, Lukman Nur; Baizal, Z. K. A.
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5755

Abstract

Bodybuilding requires precise and careful food planning to promote muscle growth and optimize body composition. However, creating personalized meal plans that meet the unique dietary needs of bodybuilders is challenging. This study introduces a customized food recommender system specifically designed for bodybuilders, addressing this problem by utilizing an ontology-based approach combined with Semantic Web Rule Language (SWRL) and a Telegram chatbot. The objective is to provide personalized nutritional guidance that aligns with individual bodybuilding goals. The system employs ontologies to represent key concepts such as user profiles, nutritional needs, and food attributes. SWRL rules generate tailored meal plans based on the user's input, which includes personal information and bodybuilding objectives submitted through the chatbot. The system was evaluated with 15 user profiles, producing 180 food recommendations. The results demonstrated high accuracy, with a precision value of 0.866, a recall value of 1, and an F-Score of 0.928. Although the system effectively delivers personalized nutritional advice, it currently lacks the ability to address specific dietary restrictions. Future work could involve incorporating a wider range of dietary considerations and enhancing the system's applicability. This study highlights the potential of semantic technologies in advancing personalized diet and fitness planning.
Optimizing News Recommendations: Utilizing POS-Tagging and Content-Based Methods to Enhance Personalization in News Recommendations Wiratama, Arga Kusuma; Baizal, Z. K. A.
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5761

Abstract

Access to information continues to experience significant developments. With the rapid advancement of the internet, the amount of news content available on digital platforms is also increasing rapidly. Internet users can quickly and easily access news and information from various sources. However, this also brings new challenges for internet users, especially digital news readers. With the vast amount of available news, readers often receive news recommendations that are irrelevant to their interests. This is due to the different preferences of each user. Additionally, each user may have more than one preference, leading to the appearance of random and unwanted news recommendations. Therefore, this research aims to enhance the personalization of news recommendations by utilizing POS-Tagger technology to analyze news content. Additionally, the content-based filtering method is used to match news with user preferences based on previously consumed content. The news matching is done after calculating vectors using TF-IDF, followed by matching using cosine similarity calculation. The recommender system demonstrates a good ability to provide recommendations that are relevant to user preferences. The performance evaluation showed satisfactory results. F1-score showed an average result of 90% from the three users, and high cosine similarity value with an average from the three users of 8% of the overall recommendation results indicating a high relevance between the recommendations and the news that users have read.
Modelling of COVID-19 Disease Spread in Yogyakarta City Using the Fourth-Order Runge Kutta Method and SIR model Pratama, Aditya Nur; Gunawan, Putu Harry
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5804

Abstract

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has created enormous worldwide health issues, particularly in Yogyakarta, Indonesia, a city with distinct socio-cultural dynamics and a crucial role in national education. Understanding how the virus spreads in this particular milieu is critical for successful public health responses. To simulate and investigate COVID-19 transmission dynamics in Yogyakarta, this work uses the Susceptible-Infected-Recovered (SIR) epidemiology model, enhanced by the Fourth Order Runge-Kutta (RK4) numerical approach. The RK4 technique improves the model's accuracy by providing precise numerical solutions to the differential equations governing disease transmission. The study identifies the optimal infection rate parameter (β = 0.2037) that minimizes the Root Mean Squared Error (RMSE) between the model's predictions and actual data. These findings offer critical insights into the local pandemic trajectory, which can directly support the government in tailoring public health strategies, assist researchers in refining epidemiological models, and guide the general public in understanding transmission risks. The methodologies and results from this study can also serve as a reference for similar epidemiological assessments in other regions.
Perancangan UI/UX Sistem Registrasi Pasien Poli Voluntary Conseling anda Testing (VCT) Berbasis Website dengan Metode Design Thinking Retrisia, Mellysa; Saputri, Nurul Adha Oktarini
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5813

Abstract

RSUD Dr. Sobirin is one of the health service agencies functioning as a health service unit to help solve problems experienced by patients. The clinic is divided into several parts, one of which is the Voluntary Counseling and Testing (VCT) clinic. Currently, the problem faced by the hospital is the low utilization of VCT poly services due to the low level of public knowledge about HIV and VCT services. This is because people are afraid of the stigma and discrimination of others and the large number of queues that have accumulated resulting in the length of the registration process. Therefore, Dr. Sobirin Hospital needs a registration information system in the field of website-based UI/UX design using Figma software. The UI/UX design will be integrated with SIMRS which is used in the registration of RSUD Dr. Sobirin. Design Thinking is a creative problem solving method that involves users into the thinking process and makes the user's perspective the main consideration of the problem solving process. The stages consist of Empathize, Define, Ideate, Prototype, and Test. This design uses System Usability Scale (SUS) testing. The final result of this research is a website-based prototype design.
Pemanfaatan Internet of Things (IoT) Untuk Sistem Kendali dan Otomatisasi Pemeliharaan Bibit Ikan Lele Kaffi, Muhammad Syahrul; Hidayati, Rahmi; Suhardi, Suhardi
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5833

Abstract

Catfish farming is one of the fisheries businesses that requires intensive attention to various environmental factors such as water quality, weather conditions, and feeding schedules so that productivity remains optimal. These conditions if not managed properly can cause a decrease in water quality which results in fish death or growth that is not maximized. To overcome these problems, an automatic control system based on the Internet of Things (IoT) was developed by utilizing the Arduino Uno microcontroller and ESP32 as the main components in the system. The system is equipped with various sensors, such as a pH sensor to monitor water acidity, an ultrasonic sensor to measure water depth, and a rain sensor to detect weather changes. In addition, the system is also equipped with relays, water pumps, and servos that function to regulate water conditions, automatic feeding, and automatic roof operations on fish ponds. This research was tested 72 times with different values of pH and ultrasonic sensor accuracy. The test results show that this system works without errors, with the pH sensor accuracy level reaching 89% and the ultrasonic sensor at 97%. With this automation system, it is hoped that catfish farmers can manage ponds more efficiently, monitor pond conditions in real-time, and increase cultivation productivity through the management of fish ponds.
Analisis Clustering Menggunakan Algoritma K-Means Dalam Pengelompokan Penjualan Produk Bahan Bangunan Syahriani, Syahriani; Handayani, Popon; Santoso, Tri
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5837

Abstract

Sandimas Group is a trading airline that is a leading supplier of building materials throughout Indonesia. This building materials trading company markets various granite tile and sanitary products. But unfortunately, this trading company still has a problem, namely that it is still difficult to ensure the quantity of supply of products that customers really like. This problem can be solved with a system that can identify the best-selling products from various product groups. The aim of this research is to find out the right and appropriate product supply so that there is no buildup of product in the warehouse. This can be seen based on the clusters that have been formed. The formation of clusters to group merchandise products in this trading airline uses the K-Means Clustering algorithm. This algorithm can perform calculations accurately. This research is expected to be able to answer this problem correctly based on the similarity of the data. The application of the K-Means Clustering algorithm at the Sandimas Group is by collecting known product supplies in the sales transaction recap for 1 period in 2022. The results of calculating the K-Means Clustering algorithm from 15 known products are 5 products which are included in clusters 1, 6 products are included in cluster 2 and 4 products are included in cluster 3. This cluster can be seen based on the similarity of the data, namely cluster 1 is formed where buyers really like the price in the range of IDR 152,640 to IDR 225,000, cluster 2 is formed where customers quite like the product price in the range of IDR 455,896 to IDR 530,000 while cluster 3 was formed where customers liked product prices ranging from IDR 217,000 to IDR 252,000.
Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Kombinasi Metode Pembobotan CRITIC dan COPRAS Sugianto, Rudi; Sulistiani, Heni
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5841

Abstract

Teachers play a crucial role in shaping the future of the younger generation. They not only impart knowledge and skills, but also guide, inspire, and support students in the learning process and personal development. Selecting the best teachers involves a thorough assessment of the prospective teachers' academic qualifications, teaching experience, and communication skills. The main problem in selecting the best teachers often involves several significant challenges, namely the evaluation of teachers' skills and performance is often influenced by subjective assessments, which can result in uncertainty and bias in the selection process. The combination of the CRITIC and COPRAS weighting methods offers a robust and comprehensive approach to multi-criteria decision-making. This combination overall improves the reliability of decisions by providing a structured and comprehensive method, thus aiding in making more informative and rational choices. The results of the ranking of the best teacher, Dra. Sudarningsih received the highest score of 100, making him the best teacher in this ranking. In second place, Sri Astuti, S.Pd scored 96.64, followed by Drs. M. Jusriadi with a score of 95.54 in third place. Rita Ratna Sari, SP ranked fourth with a score of 95.45, while Misriyati, S.Pd was in fifth place with a score of 94.74. This ranking reflects an objective assessment based on the criteria that have been set, where Dr. Sudarningsih shows the best performance among the teachers evaluated.
Sistem Pendukung Keputusan Pemilihan Sales Provider Terbaik Menggunakan Kombinasi Rank Order Centroid dan TOPSIS Saputri, Irana; Puspaningrum, Ajeng Savitri
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5842

Abstract

Selecting the best salesperson requires a strategic approach that includes an in-depth evaluation of salesperson capabilities and qualifications. The main problem in selecting the best salesperson often lies in the difficulty of finding individuals or teams who have a balance between technical skills, communication skills, and a solid sales track record and the lack of an objective selection model. This study aims to apply effective SPK in selecting the best sales provider by utilizing a combination of centroid and TOPSIS rank order methods to produce objective and accurate recommendations regarding Sales Providers that best suit the company's needs and priorities. This research has important significance in providing a systematic and data-driven approach to selecting the best sales provider, which can improve the efficiency and effectiveness of the decision-making process. The ranking results show that Risman Ardiansyah managed to occupy the first position as the best sales provider with the highest score of 0.94, showing superior performance in all assessment criteria. Al Aziz followed in second place with a score of 0.923, reflecting an almost comparable performance. M Dandi was in third place with a score of 0.8162, followed by Ni Sayu Kade with a score of 0.765 in fourth place. Faizal Azhar occupies the fifth position with a score of 0.6738. These results show that Risman Ardiansyah is the sales provider that best meets expectations based on the criteria used in the evaluation.

Page 51 of 81 | Total Record : 803

 49   50   51   52   53 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol 7 No 3 (2026): April 2026 Vol 7 No 2 (2026): January 2026 Vol 7 No 1 (2025): October 2025 Vol 6 No 4 (2025): July 2025 Vol 6 No 3 (2025): April 2025 Vol 6 No 2 (2025): January 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