INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi最新文献

Optimizing the Personnel Position Monitoring System Using the Global Positioning System in Hostage Release 在释放人质过程中利用全球定位系统优化人员位置监测系统

INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Pub Date : 2024-02-10 DOI: 10.29407/intensif.v8i1.21665

Dodo Irmanto, S. Sujito, Aripriharta Aripriharta, Dekki Widiatmoko, Kasiyanto Kasiyanto, Saodah Omar

引用次数: 0

Analyzing the Quality of Academic Information Systems on System Success 分析学术信息系统的质量对系统成功的影响

INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Pub Date : 2024-02-10 DOI: 10.29407/intensif.v8i1.21512

Sayyidatul Abqoriyyah Melgis, Reni Aryani, Dewi Lestari, Mohamed Naeem Antharathara Abdulnazar

{"title":"Analyzing the Quality of Academic Information Systems on System Success","authors":"Sayyidatul Abqoriyyah Melgis, Reni Aryani, Dewi Lestari, Mohamed Naeem Antharathara Abdulnazar","doi":"10.29407/intensif.v8i1.21512","DOIUrl":"https://doi.org/10.29407/intensif.v8i1.21512","url":null,"abstract":"Since the needs for academic management are always changing, the creation of academic information systems must focus on user benefits and satisfaction in order to gauge how successful academic management systems are. This research uses the Delone and McLean IS Success Model which is known as one of the system success models, so the aims to ascertain the effects of system, information, and service quality, as well as usage rate, on benefits and user satisfaction SIAKAD system. Respondents were determined using the Slovin formula and taken using proportionate stratified random sampling techniques as many as 100 people. Descriptive analysis was carried out to explain respondents' perceptions and evaluate the success of the system using Three levels of communication were used to measure the success of the system: technical, semantic, and effectiveness levels. The Delone and Mclean IS Success Model's variable relationships were investigated using SEM-PLS analysis. Hypothesis testing results indicate that User Satisfaction is significantly impacted by Information; System; and Service Quality, then Information Quality also significantly affects Usage; and Net Benefits are significantly impacted by User Usage and Satisfaction; however, neither System Quality nor Service Quality significantly affects Use or Use on User Satisfaction.","PeriodicalId":517254,"journal":{"name":"INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi","volume":"29 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unveiling Insights: A Knowledge Discovery Approach to Comparing Topic Modeling Techniques in Digital Health Research 揭开洞察的面纱：比较数字健康研究中的主题建模技术的知识发现方法

INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Pub Date : 2024-02-10 DOI: 10.29407/intensif.v8i1.22058

Siti Rohajawati, Puji Rahayu, Afny Tazkiyatul Misky, Khansha Nafi Rasyidatus Sholehah, Normala Rahim, R.R. Hutanti Setyodewi

{"title":"Unveiling Insights: A Knowledge Discovery Approach to Comparing Topic Modeling Techniques in Digital Health Research","authors":"Siti Rohajawati, Puji Rahayu, Afny Tazkiyatul Misky, Khansha Nafi Rasyidatus Sholehah, Normala Rahim, R.R. Hutanti Setyodewi","doi":"10.29407/intensif.v8i1.22058","DOIUrl":"https://doi.org/10.29407/intensif.v8i1.22058","url":null,"abstract":"This paper introduces a knowledge discovery approach focused on comparing topic modeling techniques within the realm of digital health research. Knowledge discovery has been applied in massive data repositories (databases) and also in various field studies, which use these techniques for finding patterns in the data, determining which models and parameters might be suitable, and looking for patterns of interest in a specific representational. Unfortunately, the investigation delves into the utilization of Latent Dirichlet Allocation (LDA) and Pachinko Allocation Models (PAM) as generative probabilistic models in knowledge discovery, which is still limited. The study's findings position PAM as the superior technique, showcasing the greatest number of distinctive tokens per topic and the fastest processing time. Notably, PAM identifies 87 unique tokens across 10 topics, surpassing LDA Gensim's identification of only 27 unique tokens. Furthermore, PAM demonstrates remarkable efficiency by swiftly processing 404 documents within an incredibly short span of 0.000118970870 seconds, in contrast to LDA Gensim's considerably longer processing time of 0.368770837783 seconds. Ultimately, PAM emerges as the optimum method for digital health research's topic modeling, boasting unmatched efficiency in analyzing extensive digital health text data.","PeriodicalId":517254,"journal":{"name":"INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi","volume":"128 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of Transformer-Based Method In A Question Answering System for Campus Orientation Guides 基于变压器的方法在校园迎新指南问题解答系统中的比较分析

INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Pub Date : 2024-02-10 DOI: 10.29407/intensif.v8i1.21971

Fedryanto Dartiko, Mochammad Yusa, Aan Erlansari, Shaikh Ameer Basha

{"title":"Comparative Analysis of Transformer-Based Method In A Question Answering System for Campus Orientation Guides","authors":"Fedryanto Dartiko, Mochammad Yusa, Aan Erlansari, Shaikh Ameer Basha","doi":"10.29407/intensif.v8i1.21971","DOIUrl":"https://doi.org/10.29407/intensif.v8i1.21971","url":null,"abstract":"The campus introduction process is a stage where new students acquire information about the campus through a series of activities and interactions with existing students. However, the delivery of campus introduction information is still limited to conventional methods, such as using guidebooks. This limitation can result in students having a limited understanding of the information needed during their academic period. The one of solution for this case is to implement a deep learning system with knowledge-based foundations. This research aims to develop a Question Answering System (QAS) as a campus introduction guide by comparing two transformer methods, namely the RoBERTa and IndoBERT architectures. The dataset used is processed in the SQuAD format in the Indonesian language. The collected SQuAD dataset in the Indonesian language consists of 5046 annotated data. The result shows that IndoBERT outperforms RoBERTa with EM and F1-Score values of 81.17 and 91.32, respectively, surpassing RoBERTa with EM and F1-Score values of 79.53 and 90.18.","PeriodicalId":517254,"journal":{"name":"INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi","volume":"5 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0