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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 77 Documents
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Search results for , issue "Vol 6 No 2 (2025): Januari 2025" : 77 Documents clear
Sistem Informasi Geografis Potensi Pertanian GISELA Menggunakan Arcgis Mafahir, Muhammad Alil; Cahyono, Rokhmad Eko; Ridlwan, Ah. Afif
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6399

Abstract

Lamongan Regency is a district where the majority of the population is engaged in farming, making it the largest agricultural area located in East Java. As an agrarian region, the main livelihood of its residents is in the agricultural sector. Development in the agricultural sector is primarily aimed at meeting the needs of the community, given the diversity of food sources which presents a significant potential for land use. Lamongan Regency was divided into two categories: agricultural areas and non-agricultural areas. The Food Security and Agriculture Service of Lamongan Regency in 2023 divided land into 2 criteria, namely agricultural areas and non-agricultural areas. Agricultural areas consisting of rice fields, fields, and plantations covering an area of ​​95,460.35 hectares. While non-agricultural areas consist of settlements, industry, rivers, swamps, and forests covering an area of ​​8,022.85 hectares [1].Currently, the main issue is the lack of agricultural information available to the public, making it difficult for residents to access information about agriculture in Lamongan Regency. Therefore, there is a need for a geographic information system that can provide information about agricultural land potential and maps of agricultural opportunities in Lamongan Regency, enabling residents to quickly and easily obtain information about the agricultural land potential in their area.The research methodology used in developing the Gisela application is the waterfall method. Agriculture impacts the community of Lamongan Regency by providing quick and easy access to information about the agricultural land potential in the region. This application features an interface that is easy for the public to understand. Additionally, it can generate recommendations for determining suitable crops to plant and establish as leading commodities in their respective areas.
Pemasaran Vendor Wedding Organizer Melalui Aplikasi Moore Berbasis Web Mobile Menggunakan Metode Agile Nurhadi, Muhammad; Sancoko, Sulistyo Dwi
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6406

Abstract

The wedding industry in Indonesia has undergone a significant transformation thanks to technological advancements and changing consumer behavior. Today, brides-to-be are increasingly utilizing digital platforms to search and book wedding services. Many vendors still manage the booking system conventionally. The booking system at vendors still uses regular telephone calls so there are often errors in recording bookings because the vendors often forget to record the booking schedule in the ledger. Promotional activities are also still very limited. This research aims to develop a mobile web-based application that facilitates wedding vendors in offering their services and products more efficiently. This application is designed to overcome various challenges faced by vendors, such as difficulties in promoting vendors to prospective brides, managing bookings, communicating with clients, and improving operational efficiency to achieve client satisfaction with the services provided. The application development involved collecting wedding package data, product data (such as physical souvenirs and invitations), system design, technology selection, and implementation and evaluation strategies. The technologies used include React JS for web application development and React Native for mobile applications, both using the JavaScript programming language. The database uses MongoDB, with the support of platforms such as Stripe as a payment gateway. The software development method applied is Agile, to ensure flexibility and responsiveness to user needs. The interim result of this research is an application that provides a source of information for prospective brides related to vendors of wedding organizer products and services with a wide scope. In addition, the Moore App has been tested by 30 respondents with an average success rate of 100%, indicating that all features function properly according to user needs and established specifications.
Klasifikasi Penyakit Daun Kopi Arabika Berbasis Gambar Menggunakan Model Convolutional Neural Networks DenseNet121 Solehudin, Muhammad Alwy; Gerhana, Yana Aditia; Taufik, Ichsan
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6407

Abstract

Detection of Arabica coffee leaf diseases is crucial for improving the quality and yield of coffee crops. This study aims to apply the DenseNet121 Convolutional Neural Network model to identify three types of diseases on Arabica coffee leaves, namely Rust, Phoma, and Miner. The data used consists of images of Arabica coffee leaves, which are divided into training, validation, and test sets. The model was trained using the Adamax optimizer with hyperparameters such as a maximum of 30 epochs and a batch size of 32. During training, the model achieved a validation accuracy of 98.86% before being stopped by the early stopping callback at epoch 28 to prevent overfitting. Model evaluation using a confusion matrix resulted in 97% accuracy on the test data, with excellent precision, recall, and F1-score values for most categories, particularly for the Healthy, Miner, and Phoma classes. The Rust class showed lower recall due to data imbalance in the test set. The results of this study demonstrate that the DenseNet121 model is reliable for detecting diseases on Arabica coffee leaves with high accuracy and provides an important contribution to the technology of plant health monitoring, which can assist farmers in early detection and improve coffee crop productivity.
BiLSTM-LSTM Hybrid Model with Glove Embeddings for Hotel Review Sentiment Analysis Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6420

Abstract

This study presents an optimized approach to sentiment classification of hotel reviews using a hybrid deep learning architecture. The model proposed combines Bidirectional Long Short-Term Memory (BiLSTM) with LSTM networks, enhanced by pre-trained GloVe word embeddings and SMOTE-ENN for handling data imbalance. The architecture incorporates a BiLSTM layer with 64 units and an LSTM layer with 32 units, complemented by dense layers and dropout regularization for optimal performance. Experimental results demonstrate the effectiveness of our approach, achieving an accuracy of 89.47% and an AUC score of 0.9607. The model shows robust performance across positive and negative sentiments, with precision scores of 0.96 and 0.82, respectively. Integrating SMOTE-ENN for data balancing and GloVe embeddings significantly enhanced the model's ability to capture semantic relationships in text data. Our findings indicate that this hybrid approach effectively addresses the challenges of sentiment analysis in the hospitality domain, particularly in processing nuanced customer feedback. The high AUC score suggests strong discriminative capability, while the balanced precision-recall trade-off demonstrates the model's practical applicability for real-world hotel review analysis.
Kombinasi Metode AHP dan EDAS dalam Penilaian Kinerja Dosen di Perguruan Tinggi Sa’adati, Yuan
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6427

Abstract

Faculty performance evaluation is a process within an organization aimed at assessing and improving the performance of lecturers. Regular performance evaluations are essential for enhancing teaching quality and the professional development of faculty members. However, in practice, faculty performance evaluations are often still conducted manually, which may lead to human errors and delays in data processing, thereby affecting the timeliness of decision-making. Decision Support Systems (DSS) are introduced to assist in decision-making, particularly when there is uncertainty regarding the best approach to make a decision. This study adopts a combined methodology, using the Analytical Hierarchy Process (AHP) for criterion weighting and Evaluation based on Distance from Average Solution (EDAS) for ranking. The use of DSS aims to streamline the evaluation process while minimizing potential errors. The evaluation is based on six criteria: student evaluation, peer evaluation, education, research, community service, and participation in seminars or guest lecturing activities. The results consistently identify alternative A3 as the best option, with a score of 0.312 in the faculty performance evaluation.
Perancangan Sistem Informasi Layanan Pembinaan Mualaf dengan Metode UTAUT Erano, Bhirawa Atha Bassni; Putri, Raissa Amanda
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6438

Abstract

In the context of the life of a convert, a person who has just embraced Islam or converted to Islam, must be given guidance and guidance to find out more about Islam. Providing convenience for converts to get complete information about the conversion coaching services provided by the Medan Tuntungan KUA, because the Medan Tuntungan Religious Affairs Office does not yet have a computerized system so that it makes time ineffective and inefficient in the process of converting to Islam and its coaching and therefore wants to create There are systems in the system that can simplify the process of converting to Islam, namely the registration process, activity schedule, coaching materials, and others. As well as facilitating the management of data on convert coaching participants, including personal information, attendance history and website-based coaching progress. It is important to have such data to reduce the possibility of data loss. This research uses qualitative methods by collecting data, namely observation, interviews, literature study and linked questionnaires. The system development method used is the waterfall method. And using the Unified Theory of Acceptance and User Technology (UTAUT) approach model is used to identify information system usage. The results of this research are a web-based information system for the Muslim Convert Development Service at KUA Medan Tuntungan using the Utaut mosque method which can help the management of the religious affairs office in managing information about converts and their guidance.
Unsupervised Clustering Untuk Pengolahan Data Kemiskinan di Jawa Tengah Dengan Menggunakan Metode Self-Organizing Maps Anis, Yunus; Wahyudi, Eko Nur; Mulyani, Sri
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6439

Abstract

This study aims to analyze and cluster poverty data in Central Java using the Self-Organizing Maps (SOM) method, an approach in unsupervised learning that is efficient in mapping multidimensional data into two-dimensional representations. The poverty data used includes various socio-economic indicators, such as income, education, health access, and housing conditions. By applying SOM, this study attempts to identify hidden patterns and relationships between variables that contribute to poverty in each region in Central Java. The results of this clustering are expected to provide deeper insight into the characteristics and distribution of poverty, as well as assist in making more targeted policies in poverty alleviation efforts. This study shows that the SOM method is able to effectively group areas with similar poverty characteristics, and provide visualizations that facilitate understanding of the complexity of poverty data in Central Java. The implementation of this method is able to produce 4 groups / clusters of poverty levels which are expected to be the basis for further research in socio-economic mapping, as well as a tool in planning and evaluating poverty alleviation programs at the regional level.
Klasifikasi Irama Murottal Al-Quran Menggunakan Metode CNN dengan Perbandingan Arsitektur ResNet50 dan VGG16 Agustin, Ilham Rizky; Wahana, Agung; Atmadja, Aldy Rialdy
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6440

Abstract

The understanding of murottal Al-Quran among the Indonesian population remains relatively limited. One contributing factor is the difficulty in distinguishing between different murottal rhythms, which requires specialized expertise. Additionally, traditional murottal learning methods necessitate direct interaction with expert teachers, which is not always accessible to everyone. These challenges highlight the importance of developing technology to assist in identifying murottal rhythms. This study developed a murottal rhythm classification model using Convolutional Neural Networks (CNN) with transfer learning, employing two popular architectures: VGG16 and ResNet50. Audio data were processed using Short-Time Fourier Transform (STFT) and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction for analysis.The results showed that the ResNet50 architecture with MFCC-extracted data achieved the best performance, with a training accuracy of 92%, validation accuracy of 85%, and testing accuracy of 86%. Additionally, the model achieved precision, recall, and F1-score values of 0.87 and 0.86, indicating strong generalization capabilities. Conversely, the VGG16 architecture with STFT and MFCC-extracted data demonstrated lower accuracy compared to ResNet50. The findings are expected to provide an innovative solution for developing a self-learning system based on technology to facilitate understanding of murottal rhythms in the Al-Quran.
Designing an Intuitive UI/UX for Laundry and Household Cleaning Services Using a User-Centered Design Thinking Approach Tangka, George Morris William; Mambu, Joe Yuan; Putra, Edson Yahuda
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6443

Abstract

The growing demand for footwear and accessory care reflects an increasing awareness of cleanliness and personal appearance. This study focuses on a cleaning service business specializing in shoes, bags, and strollers, with shoes as the primary focus. Operational challenges, including inefficient customer communication and delays due to high demand, impact customer satisfaction. Using the Design Thinking method, this research develops a user-centered User Interface (UI) and User Experience (UX) for the business's application. The Design Thinking process—empathize, define, ideate, prototype, and test—helped identify pain points and generate tailored solutions, such as improved navigation and task flow. Usability testing involved 18 participants performing key tasks, including booking services and tracking orders, with success rates and error metrics as evaluation criteria. The testing yielded a 70.6% task completion success rate, indicating improved service efficiency. However, the 54.4% misclick rate, higher than typical benchmarks for similar applications (30–40%), highlights significant navigation challenges. Future iterations will focus on refining the interface layout and enhancing task clarity to reduce errors and improve usability. These findings emphasize the value of iterative, user-centered design in addressing operational inefficiencies and enhancing the customer experience.
Analisis Pengaruh Kualitas Layanan Website Pembinaan Sekolah Menengah Kejuruan (PSMK) Terhadap Kepuasan Pengguna Dengan Menggunakan Metode Webqual Istiqomah, Iis; Irawati, Okta
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6444

Abstract

This study aims to evaluate the factors influencing the quality of the Pembinaan Sekolah Menengah Kejuruan (PSMK) website using a user satisfaction approach. The PSMK website is a critical component of the Education Management Information System; however, users often encounter issues related to information quality, ease of interaction, usability, and interface design. These challenges may hinder the effectiveness of technology-based educational services. As a solution, this study employs the Modified WebQual 4.0 method to analyze four key aspects: information quality, interaction, usability, and interface design. Data were collected through a survey of 100 PSMK website users and analyzed using multiple linear regression. This approach helps identify the most significant factors influencing user satisfaction. The results indicate that all four factors—information quality, interaction, usability, and interface design—positively and significantly affect user satisfaction. Enhancing these aspects can significantly improve the user experience. These findings provide valuable insights for educators and policymakers to improve the quality of the PSMK website, support more effective educational services, and promote the integration of technology in vocational education. By addressing these factors, the PSMK website can better support the achievement of educational goals at the vocational school level.

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