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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 410 Documents
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Evaluasi Kualitas Shopeepay Menggunakan ISO/IEC 25010 Bithia Insoraki Rumabar; Evi Maria
Jurnal Sistem Informasi Bisnis Vol 14, No 1 (2024): Volume 14 Nomor 1 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss1pp54-61

Abstract

This research aims to evaluate the quality of Shopeepay using ISO/IEC 25010 from the user side, namely Satya Wacana Christian University students. Evaluation of the quality of Shopeepay needs to be done because the high level of use of Shopeepay is also followed by increasing user complaints. This research assesses eight characteristics: functional suitability, reliability, performance efficiency, usability, security, compatibility, maintainability, and portability. There were 140 respondents in this research. This research uses a quantitative descriptive approach, and data is analyzed by calculating the total score for each characteristic regulated in ISO/IEC 25010. The results of the Shopeepay quality evaluation found that functional suitability is 79%, performance efficiency is 75 percent, compatibility is 74 percent, usability is 78 percent, and reliability is 77 percent, security 83 percent, maintainability 76 percent, and portability 78 percent. The quality of Shopeepay is considered very good from a security perspective, and the rest is good. The lowest score is on the compatibility aspect, so system developers and Shopee management need to improve the compatibility of this application because payment transactions and top-up balances fail due to this aspect.
Back matter JSINBIS 14 (2) 2024 Prof Mustafid
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Back matter JSINBIS 14 (2) 2024
Analisis Kesuksesan Aplikasi M-Paspor di Kota Batam dengan Menggunakan Model Delone dan Mclean Suwarno Liang; Mangapul Siahaan; Jocelyn Jocelyn
Jurnal Sistem Informasi Bisnis Vol 14, No 1 (2024): Volume 14 Nomor 1 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss1pp38-45

Abstract

M-Paspor is a new version of the APAPO application launched at the end of 2021. Since the launch of the M-Paspor application, Indonesian citizens have been directed to submit passport queue applications through the M-Paspor. Batam City is a city that is on international shipping routes and borders directly with Singapore and Malaysia. With these advantages, many Indonesian citizens travel through the City of Batam, causing passport applications in the City of Batam to increase. This research aims to analyze the success of the M-Passport application in the City of Batam using the DeLone and McLean model. The method used in this research is a mixed method of qualitative and quantitative, with 30 qualitative data and 500 quantitative data collected. This research utilizes SPSS and AMOS technology to test validity, reliability, SEM, descriptive statistics, and R Square. The results obtained from this research show that all dependent variables have a positive effect on the independent variables with R Square values obtained as much as 61.3%, 58.9%, and 61.9%. By conducting this research, it is hoped that it can help M-Paspor application developers and the TPI Batam Class I Immigration Office to pay more attention to the quality of information, systems, and services from M-Paspor to improve increase public user satisfaction in public services.
Evaluasi Kepuasan Pengguna Website Menggunakan Framework PIECES: Studi Pada Pemerintah Kabupaten Maluku Barat Daya Rimes Jopmorestho Malioy; Eko Sediyono; Evi Maria
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss2pp171-180

Abstract

This research aims to evaluate the local government website of Southwest Maluku Regency using the PIECES framework, to determine the level of user satisfaction. The method used in this research is quantitative descriptive. The questionnaire was distributed to the public and State Civil Apparatus (ASN) who are users of the regional government website. The total sample for this research was 150 respondents. Measurements were carried out using a Likert scale. The research results found that users were very satisfied with the information & data presented on the local government website. In terms of performance, economics, control & security, users feel satisfied when using the website. In terms of service, users are very satisfied if the website is developed and improved further. Meanwhile, in terms of efficiency, users want additional website features, namely the online complaint feature. Overall, the average user satisfaction level is 3.99 in the satisfied category. Additional testing using PageSpeed Insight and Qualys found that the government website's performance was still low, with a score of 76. Meanwhile, in terms of security, additional testing found that the website was very good with an A+ score. The results of this research become evaluation material for website managers, namely the Southwest Maluku Regency Communication and Information Service, to make improvements to the website from several aspects that have been assessed, to increase the level of user satisfaction.
Front matter JSINBIS 14 (3) 2024 Prof Mustafid
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3ppi

Abstract

Front matter JSINBIS 14 (3) 2024
IT Governance Design in XY University using Cobit 2019 Framework Willson Mangoki; Danny Manongga; Ade Iriani
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss2pp111-122

Abstract

The management and control of information and technology at the university were required for IT's finest use, but in line with organization goals, they can be realized with the use of IT governance. This research uses a qualitative approach with techniques such as interviews, observation, expert judgment, and literature studies that are relevant to the concept of IT governance with the COBIT framework and its application in various fields. This research presents an IT governance design that is considered suitable to be applied at XY University using COBIT 2019 Framework. 10 design factors and 40 IT processes listed in COBIT 2019 are used as parameters. The results obtained from four processes with scores ranging from 50 to 100 with capability levels 3 and 4, namely APO04-Managed Innovation, APO03-Managed Enterprise Architecture, APO07-Managed Human Resources, and BAI07-Managed IT Change Acceptance and Transitioning, are translated into recommendations for actions that need to be taken in implementing IT governance.
Prediksi Perubahan Hemodinamik Pasien setelah Pemberian Premedikasi menggunakan Machine Learning Neural Network Guna Meningkatkan Kinerja Penanganan Medis Jiyestha Aji Dharma Aryasa; Aris Puji Widodo; Catur Edi Widodo
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp256-266

Abstract

This research presents the development process of a machine learning neural network model for predicting hemodynamic changes in patients after premedication, aiming to enhance the performance of medical interventions. The model was constructed using 3055 patients’ data who underwent premedication processes. The developed neural network model has an architecture consisting of 10 nodes in the input layer, 10 nodes in the hidden layer, and 3 nodes in the output layer. The evaluation results of the model indicate an overall accuracy of 85%. The precision values are high for normal class predictions at 0.85 and for hypertension class predictions at 0.81 with corresponding recalls of 1 (high) and 0.6 (moderate), respectively. However, predictions for the hypotension class still have a low precision of 0.6 and a recall of 0.04 (very low) due to the significantly lower number of samples in the hypotension class compared to the normal and hypertension classes. While testing with new data, the model has successfully predicted whether patients will experience hemodynamic pressure changes. It is expected that this model can contribute to improving the performance of medical interventions, thereby minimizing undesirable hemodynamic pressure changes.
Penerapan Machine Learning Untuk Prediksi Bencana Banjir Sulis Sandiwarno
Jurnal Sistem Informasi Bisnis Vol 14, No 1 (2024): Volume 14 Nomor 1 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss1pp62-76

Abstract

Indonesia beriklim tropis karena terletak pada garis katulistiwa, oleh karena itu Indonesia juga hanya memiliki dua musim, yaitu musim kemarau dan musim hujan. Apabila musim hujan tiba dan curah hujan intensitasnya tinggi, maka hal tersebut berpotensi menyebabkan bencana banjir. Kerugian yang ditimbulkan akibat bencana banjir cukup besar. Untuk mengurangi risiko bencana dan kerugian akibat banjir, diperlukan inovasi dalam mitigasi bencana. Beberapa penelitan sebelumnya telah melakukan analisa dan prediksi mengenai bencana banjir dengan menggunakan metode berbasis machine learning seperti Support Vector Machine (SVM), K-Nearest Neighbor (KNN), dan Naive Bayes. Akan tetapi metode yang digunakan dalam penelitian tersebut memiliki permasalahan seperti tingkat akurasi yang rendah dan membutuhkan waktu yang lama untuk melakukan perhitungan data. Dalam penelitian ini kami mengusulkan sebuah model baru yang dinamakan Deep Neural Investigation Network (DNIN) algorithm, yang dikombinasikan dari Convolutional Neural Network (CNN) dan Bidirectional Long Short Term Memory (BiLSTM). Proses dari usulan metode dalam penelitiaan terdiri dari tiga bagian, yang pertama Convolutional Neural Network (CNN) digunakan untuk melakukan ekstraksi fitur spasial dari data banjir, selanjutnya Bidirectional Long Short Term Memory (BiLSTM) digunakan untuk menangkap pola temporal dari fitur-fitur tersebut. Kemudian tahap terakhir adalah menggabungkan hasil dari kedua metode tersebut. Hasil dari penelitian yang dilakukan terhadap data curah hujan, didapatkan informasi bahwa model yang kami usulkan lebih unggul dibandingkan dengan model sebelumnya dalam melakukan prediksi bencana banjir.
Analisis Sentimen Komentar Konsumen Industri Jamu di Media Sosial menggunakan Artificial Neural Network dan K-Nearest Neighbor Daniel Kurniawan; Hindriyanto Dwi Purnomo; Ade Iriani
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp210-223

Abstract

Phytopharmaceutical plants have become one of the main commodities contributing significantly to the economy through their use in the pharmaceutical, cosmetic, and health industries. However, behind this economic potential, traditional herbal medicine businesses often face challenges, particularly in promotion and brand identity. Social media platforms like Instagram have now introduced unique features to support business and marketing, primarily by providing in-depth information about herbal products and offering opportunities for businesses to receive feedback from consumers. Comments on social media are valuable but often unstructured; hence, sentiment analysis is necessary to organize and categorize this data. By combining comment data with information from Google Trends, cause-and-effect relationships from comments during specific periods can be identified using path analysis. This research aims to analyze consumer comments on the Sidomuncul company's Instagram platform, with the hope of benefiting the company and advancing herbal medicine products. The methods used in this study include Artificial Neural Network (ANN) and K-nearest neighbor (KNN) to classify comments into positive, negative, and neutral categories. Both methods show satisfactory results in classification, with an average accuracy of 0.887 for ANN and 0.874 for KNN. However, the ROC curve for the KNN model indicates a relatively low AUC value in classifying negative comments, at 0.598.
Analisa Kinerja Individu Berdasarkan Kepuasan Penggunaan E-Government di Indonesia (Studi Kasus DIKUPASI Diskopukmperindag Kota Mojokerto) Muhammad Abdullah; Mohammad Al Hafidz; Heri Supriyanto; Muhammad Septama Prasetya; Mochamad Nurhadi; Mochammad Anang Karyawan
Jurnal Sistem Informasi Bisnis Vol 14, No 1 (2024): Volume 14 Nomor 1 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss1pp29-37

Abstract

This study aims to determine the perceived usefulness of users of the DIKUPASI application at Diskopukmperindag in Mojokerto City by using the Usability model approach with 4 variables, namely Learnability, Flexibility, Effectiveness, and Attitude, and to analyze this usefulness on application user satisfaction and performance improvement. DIKUPASI is an institutional application that functions to monitor and update data on UKM in Mojokerto City. The research was conducted on surveyors in the City of Mojokerto using a sampling technique of 42 surveyors spread across the City of Mojokerto. The collection of research data was carried out by distributing questionnaires. Data processing is done with the SmartPLS application. The data processing that has been done shows that there are 2 hypotheses H4 and H5 obtained from the Usability model which have a significant and positive influence. Based on the results of hypothesis testing, the perception of satisfaction with the DIKUPASI application is positively and significantly influenced by user attitudes. Perceived performance improvement for DIKUPASI application users is significantly influenced positively by user satisfaction. Participation in research on the Department of Cooperatives, Small and Medium Enterprises, Industry and Trade in Mojokerto City which adopted the DIKUPASI application is necessary to pay attention to the perceptions of user attitudes so that users feel satisfied in using the application and can improve user performance. The perception of satisfaction can be created through encouragement of surveyors' willingness and how the DIKUPASI application has benefits that can help surveyors' work.

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