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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran komunikasi yang efektif dan berguna untuk membuat keputusan yang tepat waktu dan akurat. Business intelligence sebagai dasar pengembangan dan aplikasi SINBIS menjadi kerangka kerja teknologi informasi yang sangat penting untuk membuat agar organisasi dapat mengelola, mengembangkan dan mengkomunikasikan aset dalam bentuk informasi dan pengetahuan. Dengan demikian SINBIS merupakan kerangka dasar dalam pengembangan perekonomian berbasis pengetahuan.
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023" : 10 Documents clear
Sentiment Analysis of Customer Reviews Using Support Vector Machine and Smote-Tomek Links For Identify Customer Satisfaction Dody Indra Sumantiawan; Jatmiko Endro Suseno; Wahyul Amien Syafei
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp1-9

Abstract

Shopping activities in the online market, especially fashion trends, continue to increase with all the promo efforts offered. One of the considerations for buying products on the online market is to read reviews. Each consumer review shows the level of interest in the product. The number of negative reviews and the emergence of many varied reviews pose a problem in categorizing reviews. Sentiment analysis is a way of looking at the polarity of reviews to classify positive and negative reviews. The Support Vector Machine method and the combination of the Synthetic Minority Oversampling Technique (SMOTE) with Tomek Links are applied in this study. Classification using the Support Vector Machine method and the combination of the Synthetic Minority Oversampling Technique (SMOTE) with Tomek Links showed better results with an Accuracy of 0.92, Precision of 0.89, Recall of 0.89, and F1-score of 0.89 than without the combination of the Synthetic Minority oversampling Technique (SMOTE) with Tomek Links with an Accuracy of 0.68, Precision of 0.55, Recall of 0.99, and an F1-score of 0.71.
Analisis Adopsi Sistem ERP dalam Mengoptimasi Industri Pangan Menggunakan SEM dan Model UTAUT2 Haryasena Panduwiyasa; Rachdian Habi Yahya
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp10-19

Abstract

In the era of Society 5.0 and the post-COVID-19 recession, entrepreneurs experienced digital disruption and economic instability, especially in the food industry sector. The low awareness of entrepreneurs in adopting technology and information systems, as well as their doubts about the high cost and time that needs to be allocated, are also reasons why the process of adopting technology and information systems is increasingly difficult to realize. To overcome costs and a relatively long development process, one of the efforts that companies can make is to adopt an open-source Enterprise Resource Planning (ERP) system that is useful for supporting resource management and decision-making. The purpose of this research is to prove how the adoption of ERP systems can support business digitalization processes and can produce industrial systems that are agile, effective and efficient. A series of analyzes were carried out using a survey aimed at 292 food industry business actors who had been digitalized by ERP, to prove the influence of behavioural factors on ERP usage using the UTAUT2 model, with the variables tested including performance expectations (PE), effort expectations (EE), price values (PV), facility conditions (FC), habits (HT), and behavioural intention (BI) toward the use behaviour of ERP (UB) in the food industry sector in Central Java, Indonesia.
Perbandingan Performa Cluster Model Algoritma K-Means Dalam Mengelompokkan Penerima Bantuan Program Keluarga Harapan warisa warisa; Nurahman Nurahman
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp20-28

Abstract

Poverty has so far played a role as a problem faced by residents of the Mentawa Baru sub-district, Ketapang. The inability of this community is related to the need to meet education and health needs in social welfare. In assisting the grouping of beneficiary data is carried out using the K-Means algorithm. Apart from that, to increase performance, those who have gone through the first grouping process are then continued using feature selection in the decision tree tool. The algorithm used aims to classify PKH beneficiary data to help the government find out about the handling of the aid program in Mentawa Baru Ketapang sub-district. As for the results obtained from this study, namely, the accuracy of the initial clustering obtained a DBI value of -0.994 at K=8 while the second clustering value that had gone through feature selection with K=3 obtained a DBI value of -0.865. It is known from the performance testing of the comparison of the two clustering that the best performance value is found in the second cluster after going through feature selection.
Implementasi Algoritma Fuzzy C-Means dalam Mengelompokkan Produktivitas Nauplius Vanammei di BBPBAP Jepara Nur Aeni Widiastuti; Raden Hadapiningradja Kusumodestoni; Buang Budi Wahono; Diah Ayu Chumaisaroh
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp37-44

Abstract

Balai Besar Perikanan Budidaya Air Payau often experiences changes in the number of vanammei shrimp production that is uncertain every day. This resulted in the scarcity of vanammei shrimp larvae seeds, unmet market demand and high selling prices. So that the BBPBAP experienced problems in monitoring the quality of the production of vanammei shrimp larvae. To overcome these problems, data mining is used as an alternative solution. The research method used is the Fuzzy C-Means algorithm. With the research stages starting from data collection, pre-processing data to clean data or attributes that are not suitable, clustering using the Fuzzy C-Means algorithm, testing using the MATLAB tool, and evaluating validation using the Davies Bouldin Index (DBI). Based on the results of the clustering that has been carried out from a total of 894 data, which are included in the good cluster, 569 data with the unfavorable category is 325. The results of the evaluation and validation obtained a value of 0.32 with the resulting cluster quality is optimum.
Perbandingan Pre-Trained CNN: Klasifikasi Pengenalan Bahasa Isyarat Huruf Hijaiyah Yulrio Brianorman; Rinaldi Munir
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp52-59

Abstract

The number of documented deaf people continues to increase. To communicate with each other, the deaf use sign language. The problem arises when Muslims with hearing impairment or deafness need to recite the Al-Quran. Muslims recite Al-Quran using their voice, but for the deaf, there are no available means to do the reciting. Thus, learning hijaiyah letters using finger gestures is considered important to develop. In this study, we use the recognition of hijaiyah letters based on pictures as the learning model. The real-time-based recognition then uses the learning model. This study uses 4 CNN pre-trained models, namely MnetV2, VGG16, ResNet50, and Xception. The learning process shows that MnetV2, VGG16, and Xception reach the accuracy limit of 99.85% in 2, 3, and 11 s, respectively. Meanwhile, ResNet50 cannot reach the accuracy limit after processing 100 s. ResNet50 achieves 82.12% accuracy. The testing process shows that MnetV2, VGG16, and ResNet50 achieve 100% precision, recall, f1-score, and accuracy. ResNet50 shows figures 81.55%, 86.04%, 82.04%, and 82.58%. The implementing process of the learning outcomes from MnetV2 shows good performance for recognizing finger shapes in real-time.
Implementasi Framework Laravel Dalam Pembuatan Sistem Pencatatan Notula Berbasis Website Ahmad Azhar Kadim; Lillyan Hadjaratie; Muthia Muthia
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp45-51

Abstract

Minutes of Meeting are notes that function to record the things discussed in a meeting agenda. Minutes of Meeting are important and must exist so that agreements and decisions can be saved, so that they can be discussed again on the agenda of the next meeting. With the development of current technology, it is hoped that it can be implemented in various ways, one of which is that Minutes which were previously only written in books can be presented on the website so that it can facilitate monitoring and evaluation quickly, precisely, anywhere, and anytime. This study aims to realize a Web-based E-Notulen system by utilizing the Laravel framework and the Waterfall method for design which includes Analysis, Data Requirements, Design, Development, Testing, and Implementation. Based on the method used, the E-Notulen system can be designed by utilizing the existing Laravel Framework library using the Waterfal method. The Waterfall method can be applied in system development, especially systems that require fast time from design to implementation such as the E-Minutes system.
Klasifikasi Penyakit Jantung Menggunakan Algoritma Analisis Diskriminan Linier Ibnu Rashad; R Rizal Isnanto; Catur Edi Widodo
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp29-36

Abstract

The number of documented deaf people continues to increase. To communicate with each other, the deaf use sign language. The problem arises when Muslims with hearing impairment or deafness need to recite the Al-Quran. Muslims recite Al-Quran using their voice, but for the deaf, there are no available means to do the reciting. Thus, learning hijaiyah letters using finger gestures is considered important to develop. In this study, we use the recognition of hijaiyah letters based on pictures as the learning model. The real-time-based recognition then uses the learning model. This study uses 4 CNN pre-trained models, namely MnetV2, VGG16, ResNet50, and Xception. The learning process shows that MnetV2, VGG16, and Xception reach the accuracy limit of 99.85% in 2, 3, and 11 s, respectively. Meanwhile, ResNet50 cannot reach the accuracy limit after processing 100 s. ResNet50 achieves 82.12% accuracy. The testing process shows that MnetV2, VGG16, and ResNet50 achieve 100% precision, recall, f1-score, and accuracy. ResNet50 shows figures 81.55%, 86.04%, 82.04%, and 82.58%. The implementing process of the learning outcomes from MnetV2 shows good performance for recognizing finger shapes in real-time.
Analisis Kesuksesan Sistem Informasi Manajemen Daerah (SIMDA) dengan Metode Delone dan Mclean Success Model dan Technology Acceptance Model (TAM) Arie Vatresia; Tini Pasaribu
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp70-77

Abstract

Eight years since the implementation of the Regional Management Information System (SIMDA), there has been no specific research to analyze the information system both in terms of implementation, system quality, user acceptance, and the success of the system in its implementation. This study aims to determine the success of implementing the program at the Bengkulu Provincial DPMD office using the DeLone And McLean IS Success Model and Technology Accepeance Model (TAM) with seven research variables (system quality, information quality, perceived usefulness, perceived ease of use, service quality, user satisfaction, and net benefits). Furthermore, this research provides recommendations that can be used to update SIMDA so that it suits user needs. The seven variables of this study resulted in twelve proposed hypotheses (six were rejected and another was accepted). Six paths of accepted hypothetical relationships are: system quality with ease of use; relationship between information quality and perceived usefulness; relationship between information quality and net benefits; relationship between service quality and perceived ease of use; relationship between perceived ease of use and user satisfaction; and relationship between perceived usefulness and user satisfaction. Meanwhile, the relationship path of the rejected hypotheses is the relationship between system quality and perceived usefulness, the relationship between system quality and net benefits, the relationship between information quality and perceived ease of use, the relationship between service quality and user satisfaction, the relationship between perceived ease of use and perceived usefulness, and the relationship between user satisfaction and net benefits.
Penambahan Variabel Tingkat Kecerdasan dari Chatbot untuk Mempengaruhi Kepercayaan Pengguna dalam Aplikasi Telekonsultasi Kesehatan Hapizin Yonani Panjaitan; Yolanda Masnita; Kurniawati Kurniawati
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp78-87

Abstract

The use of Artificial Intelligence (AI) technology is often encountered in everyday life, especially in the world of business marketing, namely chatbots which are part of the implementation of Natural Language Processing (NLP). However, in its application, it is still felt that it cannot meet the needs of consumers for the specific questions they often ask, especially for those who use health teleconsultation services. In this study, the intelligence variable is added as an additional variable to answer the level of user trust in the chatbot. The data used in this study are quantitative with the target respondents being users of health teleconsultation services with a minimum user experience of 1 year. A total of 178 respondents met the criteria from a total of 238 respondents. In this research, three variables are developed. For each dependent variable, empathy, friendliness, and intelligence are factors moderated by task complexity and chatbot disclosure to determine the results of the independent variable, which is trust towards the chatbot. Based on the results of the outer model and inner model analysis using SmartPLS, it can be concluded that the addition of intelligence variables has a positive effect on user trust in chatbots. In addition, the level of chatbot complexity is also able to mediate the relationship between intelligence and user trust in chatbots. However, chatbot disclosure has a negative effect as mediating the relationship between intelligence and user trust in chatbots. In the application of using chatbots, the level of intelligence may have an effect on user trust, but natural human attitudes such as friendliness from chatbots do not affect user trust.
Penerapan PIECES Framework dalam Analisis Kepuasan Pengguna F-Learn UKSW saat Pandemi Covid-19 Eric Bintang Pangentasan; Evi Maria
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp60-69

Abstract

This research aimed to analyze the satisfaction level of Satya Wacana Christian University (SWCU) F-Learn users in daring learning during the Covid-19 pandemic using the PIECES framework. This method was chosen because it has proven its effectiveness in evaluating system user satisfaction in identifying problems, opportunities and development directions for the system being developed. This research analyzes six variables: performance, information and data, economics, control and security, efficiency, and service. The research sample for this was SWCU students. The total sample is 160 respondents. Data was measured using a Likert scale. The results of testing on the variables performance, information and data, control and security, efficiency, and service, users feel satisfied, while testing the economics variables, F-Learn users feel very satisfied. Additional testing on the performance of F-Learn confirmed that F-Learn has an excellent performance in terms of the speed of responding to commands, as well as in terms of control F-Learn is in category B (good). Overall, the average level of satisfaction of F-Learn users is 4.02. It means that overall F-Learn users, namely SWCU students, were satisfied when using F-Learn during the implementation of the daring learning policy during the pandemic.

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