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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 754 Documents
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Clustering Data Pasien Berdasarkan Usia di Puskesmas Menerapkan Metode K-Means Herlin Lutfiannisa, Alifia; Maimunah, Maimunah; Sukmasetya, Pristi
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4755

Abstract

This research aims to perform clustering of disease data based on patient age using the K-Means method at the Tlogomulyo Community Health Center in Temanggung Regency, which faces challenges in managing irregular health data. As a primary healthcare centre, the health facility requires data analysis to identify patterns or groups of diseases based on age. The K-Means clustering method is employed in processing patient data to understand the distribution of diseases and aid decision-making regarding prevention, treatment, and healthcare planning. The clustering results reveal two clusters where the first cluster is dominated by scabies cases in the 10-20 age group, while the second cluster exhibits a high prevalence of Acute Respiratory Infection (ARI) in patients around the age of 51. Evaluation using the Silhouette Coefficient indicates that forming 2 clusters is the most optimal, with a value of 0.44. These findings provide crucial insights for the development of more effective disease management strategies based on the characteristics and health profiles of each cluster at the Tlogomulyo Community Health Center.
Analysis Prediksi Wilayah Rawan Banjir dengan Algoritma K-Means Effendi, Muhammad Makmun; Inka, Inka; Siswandi, Arif
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4770

Abstract

Along with the high amount of rainfall in Bekasi -West Java, floods have started to inundate several areas of Bekasi , one of the causes is the high rainfall factor. According to (Regional Disaster Management Agency) BPBD, the most flood points are in the Bekasi area, causing several activities of the surrounding community to be disrupted, transportation hampered, and also the emergence of disease problems such as skin diseases, diarrhea, and so on. The problem of flooding is a shared responsibility that requires a solution. also the role of technology to help facilitate the provision of information to the public regarding flood-prone areas in the Bekasi area. One technique that can be used is using the K-Means Clustering Algorithm to group flood-prone areas. The flood dataset was processed using the RapidMiner application, for the dataset taken to carry out this analysis from January to December 2022, there were 24 data from areas affected by flooding from various sub-districts and villages in the city of Bekasi. The results of the research produced 3 clusters, namely, the high flood, medium flood and low flood categories, which received a Davies Bouldin index value of -0.452.
Ontology-based Conversational Recommender System for Smartwatches Thoriq Akhdan, Muh; Baizal, Z. K. A.
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4784

Abstract

In recent years, smartwatches have become popular in the mobile technology market. However, with various smartwatch models and brands available, prospective buyers often need help choosing the right product due to specifications that require technical understanding and expert opinions. Therefore, a recommender system is needed to assist prospective buyers in choosing the appropriate product. Several studies have been conducted on conversational recommender systems. However, the recommender systems used only provide recommendations based on technical specifications alone, so the recommendations given are less personalized. Therefore, we develop a conversational recommender system for smartwatches using ontology that considers the functional needs of users to produce customized recommendations. In this study, we have successfully built and evaluated this system using recommendation accuracy metrics and user satisfaction. The evaluation results show an accuracy of 86.67% and positive user feedback. This indicates that our system is accurate, easy to use, and well-accepted.
Car Recommender System Using Collaborative Filtering and Ontology-Based Conversational Recommender System Radhiva Hibatullah, Muhammad; Baizal, Z. K. A.
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4785

Abstract

The development of the automotive industry in Indonesia is increasing, especially in automobiles. Due to the increasing number of car brands in Indonesia, it is difficult for users to decide which car suits their functional requirements. Therefore, to overcome this problem, we propose a ontology-based Conversational Recommender System (CRS) using Collaborative Filtering. CRS as a framework aims to have users interact with the system so that the system obtains information related to users functional requirements, ontology-based aims to organize domain knowledge with specific concepts, and Collaborative Filtering improve the accuracy of recommender products in developing recommender systems. The evaluation results include system performance with 85.39% accuracy and user satisfaction getting positive feedback from various factors. This shows that the car recommender system is effective and efficient in providing recommendations according to the functional requirements of users.
Implementing Rapid Application Development (RAD) for Statistical Analysis of Tourism and Travel Vlog Content Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4787

Abstract

Technological developments have sparked creativity through innovation in tourism marketing strategies through various video content. There have not been many studies that use video statistical data as a reference to create other creative content and identify opportunities to increase viewers and subscribers to access a broader range of system users. This research offers ideas for designing Tourism and Travel Vlog Content Statistical Analysis using the Rapid Application Development (RAD) approach. The stages in the RAD method consist of the requirements planning stage, user design stage, construction stage, and cutover stage. This study's results show that user needs identification shows the need for Author Channel data, statistics, and relation patterns that can be used in Social Network Analysis (SNA). At the user design stage, the dashboard design creates a page where images or background videos are taken in content to SNA and Chain Network pages. In the construction stage, design is carried out according to the use case diagram to manage data and make data as helpful information in identifying publication opportunities so that the video rating made is by tourist preferences so that it can trigger intentions to visit tourist sites. At the cutover stage, testing the features and functions of the application is carried out; the test results show that all pages can be accessed without any problems. Thus, this application can analyze statistical data of content published on various platforms. This application generally benefits content creators who consider statistical information in addition to popular content design.
Seleksi Penerimaan KIP Mahasiswa Menggunakan Weighted Aggregated Sum Product Assesment Rio, Rio; Fadli, Muhamad
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4789

Abstract

Indonesia Smart Card or known as KIP Lecture, is a college education assistance provided with the aim of exempting college entrance selection registration and tuition fees or education. This program is a government program that aims to help students who want to continue their education but are constrained by costs. However, to get a scholarship, you must fulfill the requirements in accordance with the provisions on each campus. One of the universities that has the opportunity to get a KIP Lecture quota is PGRI Silampari University, with a limited number of KIP quotas, the University tries to strictly select students who are declared eligible to receive the scholarship. Therefore, a decision support system is needed that can provide input in the form of the best value to the KIP manager, to select which students are declared eligible to receive this assistance. By utilizing the WASPAS Method, it is hoped that it can provide the best results and can help the PGRI University Lecture KIP manager in determining students who are eligible and not eligible to receive Lecture KIP assistance objectively. The results of this study are in the form of a ranking of scores that have been normalized by the WASPAS method. The student is M2 on behalf of Sugi with a value of 13.78443387, M5 student on behalf of Vienna with a value of 11.64127542 getting a rank 2, M3 student on behalf of Tejo getting a value of 11.64127542 getting a rank 3. The three students with the highest scores who are included in the rank 1, rank 2, rank 3 are declared eligible to receive the KIP Lecture scholarship.
Application of RESTful Web Service in the Development of Letter Management Information System of Inspectorate Fikri, M Fauzan; Tania, Ken Ditha
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4791

Abstract

The rapid development of technology can increase efficiency and effectiveness in all fields by optimizing the use of technology. The Inspectorate of South Sumatra Province is a government agency located in the capital city of South Sumatra, Palembang. The problem found in the Inspectorate of South Sumatra Province is the disposition of letters that have not been digitized so that the disposition of letters cannot be monitored and the range of letters is lost. It takes more time and storage in searching for letters. With a system that is still manual, the inspectorate of the province of South Sumatra requires more budget for paper media and a lack of efficiency and effectiveness in the manual system. So a digitized letter management system is needed that can be accessed by mobile devices or PCs. With the Web Service, it is believed that it can support data integration between mobile and PC without third party applications. The application of RESTful API can increase security in user access rights. The results of this study are in the form of applications with the Rapid Application Development method adopting the Unified Modeling Language system design with Blackbox testing, it is known that the application runs well according to user needs, indicating that the application can solve problems in letter management that occur in the inspectorate of the province of South Sumatra.
Sistem Penunjang Keputusan Dalam Pemilihan Pegawai Penerima Promosi Jabatan Menggunakan Metode Simple Additive Weighting dan Weighted Product Gultom, Herwis; Isnanto, Muhamad Hari
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4801

Abstract

Human resources are productive individuals who work as drivers of an organization needed for operational activities in it. PT. Citra Baru Perkasa is a private company that manages human resources, so it is not uncommon for problems to occur in its management, in this case to assess employees who receive promotions at PT. Citra Baru Perkasa which is carried out every 1 year, there are several problems that occur in the process of assessing and selecting employees receiving promotions, namely when the assessment process of promoted employees carried out by managers still uses questionnaire paper and in the process of calculating the assessment is only determined from the average value on each criterion, this makes the calculation look inaccurate and less accurate. Based on the existing problems, a solution was obtained by building a decision support system using two methods, namely Simple Additive Weighting (SAW) and Weighted Product (WP), The purpose of building this system is to help reduce errors and simplify the assessment process. The results of this study showed that one of the employees of PT. Citra Baru Perkasa is eligible for promotion. This is based on the calculation results using both methods, namely an employee named Kurniasari who has a value of 1 using the SAW method and 0.210 with the WP method.
Penerapan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Penentuan Pembimbing Skripsi Terbaik Nasution, Aisah Amini; Aldisa, Rima Tamara; Mesran, Mesran; Fadillah, Rizkah
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4803

Abstract

The first step in thesis preparation involves titling and selecting a supervisor. Choosing the best supervisors aims to enhance both lecturers' enthusiasm and the quality of student guidance. To identify the most suitable lecturer, thorough consideration and a decision-support system are essential. In this research, the authors employed the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method as a technique integrated into the decision support system. This method aids in determining attribute weight values and the ranking process, ultimately selecting the most favorable supervisor from various available options. From the results of the application of the MOORA method in knowing the best thesis supervisor, namely on alternative A8 with a value of 0.3288 on behalf of Marigan Sianturi, SE, and M.kom,
Sistem Pendukung Keputusan Penilaian Kinerja Dosen Menggunakan Metode (COPRAS) Wulandari, Faras Tira; Triayudi, Agung; Mesran, Mesran; Sussolaikah, Kelik
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4805

Abstract

The lecturer performance evaluation decision support system aids the Quality Control Bureau (BPM) in establishing the lecturer performance index (IKD). It employs the Complex Proportional Assessment (COPRAS) method for this assessment. COPRAS facilitates the analysis of diverse alternatives, estimating their utility levels by considering attribute values within intervals, enhancing precision and efficiency in decision-making. The regular evaluation of lecturer performance at the university is pivotal for the continual enhancement of their quality. Thus, a decision support system is imperative to streamline processes and minimize errors in rapidly and accurately computing system data, employing the Complex Proposal Assessment (COPRAS) method. The examination outcomes consistently recognize alternative A4, as the optimal alternative for exemplary lecturer performance, achieving a perfect score of 100.

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