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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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Implementasi Metode Fuzzy AHP untuk Sistem Pendukung Keputusan Peminjaman pada Koperasi Kredit Sejahtera Muhammad Galih Wonoseto; Muhammad Yolan Alfiandy
Jurnal Sistem Informasi Bisnis Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss2pp104-111

Abstract

Koperasi Kredit Sejahtera is a cooperative engaged in savings and loan services in the Bogor area. One form of KKS service to employees is by providing loan funds to help solve financial problems for employees. The problem faced by KKS so far is that decision-making activities in lending are still inadequate which results in non-performing loans or bad debts because the cooperative does not have a special system for decision making. Based on the problems that occur, researchers will build a decision support system that can handle credit problems using the Fuzzy AHP method using 9 criteria, namely salary, term, other loans, membership status, expenses, accuracy of previous payments, work, loan purpose and loan amount so that it can help the cooperative in determining the provision of loans to prospective creditors quickly, precise and accurate according to the ranking of the fuzzy AHP calculation results. Blackbox testing is carried out to test the achievement of the functional requirements of the system which shows that the functional requirements are met 100% of the total 8 functional consisting of 5 functional on admin actor and 3 functional on officer actor can be done/valid. UAT testing is used to test the achievement of non-functional requirements. By conducting a questionnaire to 16 respondents, the result is 100% valid and reliable. So that 100% of non-functional needs are successfully met.
Pengembangan Sistem Informasi Inspeksi Kesehatan Lingkungan Rumah Sehat Berbasis Website Ranindyta Elda Cintya; Agung Budi Prasetijo; Cahya Tri Purnami
Jurnal Sistem Informasi Bisnis Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss2pp172-178

Abstract

Pengawasan terhadap kondisi kesehatan rumah dilaksanakan melalui kegiatan inspeksi kesehatan lingkungan rumah yang dilakukan oleh sanitarian puskesmas. Namun, Dinas Kesehatan selaku koordinator pelaporan data masih kesulitan mendapatkan informasi yang berkualitas dari pelaksanaan kegiatan inspeksi kesehatan lingkungan rumah tersebut. Adanya keterlambatan pelaporan, kesulitan akses dan update data, risiko ketidakuratan data, dan pelaporan yang kurang lengkap menjadi beberapa permasalahan di sistem pencatatan dan pelaporan data yang saat ini digunakan. Tujun penelitian ini adalah untuk mengembangkan sistem informasi inspeksi rumah sehat untuk memantau pencatatan dan pelaporan data serta evaluasi kinerja sanitarian puskesmas. Metode yang digunakan dalam penelitian ini menggunakan metodologi FAST (Framework for the Application of System Thinking) yang terdiri dari tahapan studi pendahuluan, analisis masalah, analisis kebutuhan, analisis keputusan, perancangan, konstruksi, dan implementasi. Sistem informasi inspeksi rumah sehat menghasilkan output laporan berupa tabel yang meliputi laporan rekapitulasi hasil penilaian rumah sehat, laporan progres penilaian rumah sehat per kelurahan, dan laporan rumah yang tidak memenuhi syarat sehat untuk berbagai level manajemen. 
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.
Analisis Multi Computer System Menggunakan Framework COBIT 2019 pada Perusahaan Perkakas Michelle Disa Widjaja; Johanes Fernandes Andry
Jurnal Sistem Informasi Bisnis Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss2pp120-126

Abstract

The application of information technology is important to help the company's business processes, one of which is a tool company based in Central Jakarta with the main activity of importing and distributing it to shops throughout Indonesia which has implemented IT to assist its business processes. However, based on observations and interviews with the company's directors, the system implemented still has problems that are not suitable for the expectations and needs, such as automatic data updates connected to sales. This research intends to determine the condition and quality of the system used and assess the existing operational implementation using the 2019 COBIT framework with an assessment through capability level, and results of an evaluation used to provide recommendations and suggestions for overcoming existing problems. The process of determining the domain for conducting an audit of the system uses a process of 10 design factors which produces a value of 100 in three domains which means that it has the expected level at level 5 (optimised). The results of the three most important domains for tooling companies based on the process of the design factors that have been carried out are EDM05 (Ensure Stakeholder Engagement), APO14 (Managed Data), and BAI09 (Managed Assets).
Strategi Peningkatan Penjualan Produk Menggunakan Market Basket Analysis Neni Purwati; Sri Karnila
Jurnal Sistem Informasi Bisnis Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss2pp96-103

Abstract

Toko Galo-galo merupakan toko yang menjual hasil produk UMKM berupa makanan, yang awalnya hanya menjual produk somay, dengan semakin meningkatnya permintaan pelanggan, maka toko menambah aneka makanan frozen food seperti bakso, sosis, naget dan lain-lain. Melihat kebutuhan pelanggan yang beraneka ragam, maka salah satu strategi yang dilakukan yaitu menganalisis aneka produk apa saja yang dibeli secara bersamaan, sehingga dapat menjadi rekomendasi bagi toko dan bagian pemasaran mengenai kombinasi produk yang diminati pelanggan. Proses pemasaran dan dokumentasi penjualan sebelumnya dengan menggunakanan layanan whatsapp, proses seperti ini dirasa kurang efektif dan efisien. Market Basket Analysis dengan Algoritma apriori dengan tahapan pengumpulan data, pra-pemrosesan data, transformasi data, dan dengan bantuan tools Orange pada tahap analisis pola frekuensi tinggi, menghasilkan frekuensi itemsets dengan MinSupp 30% sebagai The Most Tree Items yaitu Naget Salam 250gr-Support 100%, Otak-otak Sanjaya(25)-Support 100%, dan Chikuwa Mini Shifudo 500gr-Support 96.67%, dari penerapan algoritma apriori stok barang dapat ditambahkan jumlah produknya pada 3 produk tersebut, sedangkan pembentukan pola association rule dan pengujian Lift Ratio dari MinSupp 30%, MinConf 90%, Max Rules 30k, didapatkan Consequent Min Items 1 yaitu Otak-otak Sanjaya(25)-Naget Salam 250gr dengan Support 100%, Confidence 100% dan Lift Ratio 1, serta Consequent Min Items 2 yaitu Otak-otak Sanjaya(25), Chikuwa Mini Shifudo 500gr-Naget Salam 250gr, dengan Support 96.7%, Confidence 100% dan Lift Ratio 1, ini menunjukkan pasangan produk 2 dan 3 itemsets tersebut dapat disandingkan letaknya, atau posisi produknya dapat diletakkan berdekatan.
Digital Marketing as a Tourism Village Marketing Strategy in East Java’s Horseshoe Region Dita Nurmadewi; Sri Yuniati; Muhammad Vallen Firdaus; Izmil Musyaffa Rachman
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/vol14iss1pp46-53

Abstract

If supported by digital marketing, tourism villages can be a major economic driver in rural communities. Because through digital marketing, the tourism industry is able to expand its market and attract more tourists. This study intends to map the need for information technology for digital marketing as a strategy to enhance the marketing of tourism villages. This study employs a qualitative case study methodology. Tourism villages of Kemiren in Banyuwangi Regency, Lombok Kulon in Bondowoso Regency, and Kampung Blekok in Situbondo Regency served as research sites. Observation, interviews, and documentation techniques were utilized to collect research data. The data analysis employed qualitative descriptive analysis. According to the findings of the survey, the marketing of tourist villages in the Horseshoe region has been conducted using information technology. However, the use of digital marketing through websites and social media is still limited. Therefore, digital marketing must be supported in accordance with the requirements of the tourist village and the segmentation of the target market. This research's information technology requirements mapping methodology for digital marketing can be utilized to support the marketing of tourist villages in East Java’s Horseshoe region.  
Classification of SWOT Statements Employing BERT Pre-Trained Model Embedding Husni Thamrin; Dewi Oktafiani; Ibrahim Ihsan Rasyid; Irfan Miftahul Fauzi
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/vol14iss2pp143-152

Abstract

SWOT analysis is a highly effective method for organizations to develop strategic planning and gain widespread adoption by various institutions, industries, and businesses. The importance of SWOT analysis lies in its ability to provide a comprehensive assessment of an organization's internal and external factors. Despite its advantages, there are several challenges in its implementation, such as the challenge to identify the four elements of SWOT and to put statements into their correct position as strength, weakness, opportunity, or threat. This study aims to determine the best SWOT statement classification from a combination of using BERT models as feature extraction technique and compare it with traditional method of TF-IDF. The SWOT statement is input to the model to get a vector as a sentence representation. More similar vector representations indicate the closer meaning of the sentences. The similarity is the basis for the classifier to determine whether a sentence falls into the domain S, W, O, or T. We examined two classification algorithms, namely Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC). Data consists of 635 SWOT statements from study programs of a higher education institution. Five combinations of feature extraction techniques and classification algorithms were tested. The study finds that SBERT model embedding in conjunction with support vector machine classification yield the best performance with an accuracy of 0.73 and an F1-score of 0.738. It outperforms the more traditional method of feature extraction of TF-IDF and other combinations using the Naive Bayes Classifier.
Pengembangan Game Edukasi Digital Tema Seni dan Bahasa dengan Metode Multimedia Development Life Cycle Hanan Nurul; Dinar Mutiara Kusumo Nugraheni; Beta Noranita; Nurdin Bahtiar
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/vol14iss3pp302-310

Abstract

Education for early childhood, especially for PAUD TK-B in the age range of 4-6 years, is crucial in providing and shaping the foundation of children's knowledge. An engaging teaching method will enhance children's interest in learning, thus the need for digital learning media as an alternative. One step in implementing digital learning is through Educational Games. This research is conducted by developing the PAUD TK-B Nurussunnah Educational Game using the Multimedia Development Life Cycle (MDLC) method. The game's validation includes usability aspects such as effectiveness, satisfaction levels, and adaptation to the TK-B curriculum. After development, the educational game undergoes alpha and beta testing using the black box method. Beta testing involves evaluating usability for the efficiency and satisfaction of TK-B students, with an effectiveness rate of 98.94%  and satisfaction rate of 88.57%. The interview results with expert teachers indicate that the educational game aligns with the curriculum at the educational unit level for PAUD. Thus, based on the research findings, the PAUD TK-B Educational Game application can be considered an alternative learning media for TK-B students.
Integrasi Technology Readiness dan Technology Acceptance Model Terhadap Kesiapan Pengguna Enterprise Resource Planning (ERP) pada Industri Pengolahan Kelapa Organik Fiby Nur Afiana; Zanuar Rifai; Willy Ardo Frilisia
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/vol14iss2pp100-110

Abstract

The manufacturing engineering technology that is widely used to integrate activities, financial management, production, and projects into human resource management is Enterprise Resource Planning. One of them is Odoo which is utilized by an organic coconut processing company in Banyumas Regency. Investment in technology often raises pros and cons in a company, where technology investment cannot immediately provide benefits. So the attitude of Human Resources and the level of user readiness for the Adoo application really needs to be studied. The TRAM (Technology Readiness and Acceptance and Odel) method is a combination of the concepts of the Technology Readiness and Technology Acceptance Model, used to determine the effect of user readiness on technology acceptance in a company with the addition of one variable, namely perceived enjoyment. The results obtained by the five hypotheses are stated to have a positive and significant effect, while the two hypotheses are stated to have a negative and insignificant effect. Technology Readiness has a positive and significant effect on Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment, and Intention to use Odoo while Perceived Usefulness and Perceived Ease of Use have a negative and insignificant effect on Intention to use Odoo. Perceived Enjoyment has a positive and significant effect on the Intention to use Odoo and is a factor that quite influences the readiness and acceptance of new technology. The results of the research can be used by companies to weigh and decide how the company is going towards technology. Considering that the cost of adopting technology is sufficient and significant, it cannot immediately provide benefits to the company, but the benefits can be felt several years later.
Perbandingan Metode Machine Learning dalam Analisis Sentimen Komentar Pengguna Aplikasi InDriver pada Dataset Tidak Seimbang Sebastianus Adi Santoso Mola; Yufridon Charisma Luttu; Dessy Nelci Rumlaklak
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/vol14iss3pp247-255

Abstract

The InDriver service is an online transportation service that has more flexibility in price and driver choice by consumers. Various comments from InDriver service users can affect people's views, so it is necessary to carry out a sentiment analysis of these comments. The purpose of this study was to identify positive, negative and neutral sentiments in user comments and to compare the performance of classification methods. The results of analysis with unbalanced datasets show that the Support Vector Machine (SVM) and Logistic Regression methods have the highest accuracy, reaching 89%. However, quality assessment is not only based on accuracy alone. In terms of the balance between precision and recall in the minority (neutral) class, the Random Forest method shows a more balanced performance with an F1-score of 55%. After balancing the dataset with the SMOTE method, performance increases significantly for the Naïve Bayes Classifier method, especially in the neutral class for recall and F1-score metrics of 57% and 52%. In conclusion, SVM and Logistic Regression have high accuracy, but to consider the balance of precision and recall in the minority class, the Random Forest method is recommended.

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