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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 412 Documents
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Vulnerability Assessment Website E-Government dengan NIST SP 800-115 dan OWASP Menggunakan Web Vulnerability Scanner Esti Zakia Darojat; Eko Sediyono; Irwan Sembiring
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp36-44

Abstract

E-Government is one of the local government's means of implementing service-oriented values and public information disclosure by providing the local government's official website. Vulnerability Assessment (VA) is a vulnerability assessment method by testing security vulnerabilities to find out all potential critical weaknesses of e-government websites, the aims is to support convenience and service improvement when using e-government websites. The method is using descriptive quantitative to analyze and evaluate security level of both e-government websites based on the NIST SP 800-115 method regarding technical guidelines for testing and assessing information security parameters and OWASP using two web vulnerability scanners. This study is to analyze and evaluate the results of vulnerability scanning on two different types of e-government web, namely the e-government web belonging to the local government and village government, the sample assessment using the semarangkab.go.id website belonging to the local government of Semarang Regency, Central Java Province. and gunungtumpeng.id which is the official e-government website owned by the Gunung Tumpeng Village Government, Suruh District, Semarang Regency, Central Java Province, Indonesia. Hasil penelitian menunjukkan ditemukan persamaan penilaian dalam hal kategori level ancaman dan jumlah kerentanan menggunakan kedua alat web vulnerability scanner, dan hasil yang berbeda terdapat pada durasi, kecepatan pemindaian, dan jenis temuan kerentanan. Kedua parameter OWASP dapat memberikan petunjuk dan penjelasan kompleks untuk membantu pengembang atau pihak pemerintah daerah melakukan pengambilan keputusan mengenai keamanan informasi pada web e-government yang dikelola.
Analisis Pengaruh Digital Divide Terhadap User Satisfaction dan Individual Performance pada Pengguna Sistem Informasi Akademik Niken Ayu Setifani; Dwi Rolliawati; Noor Wahyudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp45-56

Abstract

Since the pandemic, various sectors have shifted their online activities, which have also been applied to education, specifically in universities. Universities have individuals with different conditions, which encourages the management to provide information systems that support the implementation of activities at these universities. Not only learning activities but also academic administration is generally known as the Academic Information System (AIS). AIS was implemented at the Health Polytechnic Ministry of Health in Surabaya, labelled Academic Management Information System (SIM Akademik). This polytechnic has campuses spread across several cities in East Java. Each campus has different resources, thus supporting the digital divide. This study’s objective was to determine the effect of the digital divide, user satisfaction, and individual performance of Academic SIM users. These examine could develop the theory of the three variables and determine the digital range between campuses and user satisfaction. According to the results of three hypotheses tested using PLS-SEM with the Disjoint Two-Step Approach method, the digital divide had a significant positive effect on user satisfaction, the same as user satisfaction on individual performance. The digital divide had a positive, however not statistically significant, impact on individual performance. Furthermore, there was a digital divide between campuses in two aspects of measurement, and academic SIM user satisfaction is greater than 85% in all aspects of size. Employees experience the most significant performance improvement when using Academic SIMs, followed by students at 85,76 % and lecturers at 79,44 %.
Sistem Absensi Karyawan Secara Realtime Berbasis Fingerprint Menggunakan Metode Rapid Application Development Fullchis Nurtjahjani; Joni Dwi Pribadi; Kadek Suarjuna Batubulan; Milyun Ni’ma Shoumi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp1-9

Abstract

The role of human resources (employees) in the company is very important because it functions as the main driver of all activities of the company in achieving its goals. One of the things that can affect employee performance is the number of wages given by the company. The number of wages given by the company to employees can be determined, one of which is through the presence of employees in one month. Therefore, employee attendance data is something that is very important for a company. However, some companies still recap attendance, calculate overtime hours, and make employee attendance reports manually. This work is certainly less effective because it requires a lot of time and effort, where the results are not necessarily accurate, so there is often unrest, dissatisfaction and injustice in the provision of employee wages. Therefore, we need a system that can recapitulate employee attendance hours automatically. This study aims to build an attendance system and calculate employee overtime hours in real time based on employee attendance through fingerprints, as well as conduct trials and evaluations of the attendance system created. The process of managing employee attendance data can be done through a website-based information system by implementing the Rapid Application Development (RAD) method. The attendance information system has been developed to be implemented at PT. Sriwijaya Delapan Tujuh Malang, and based on the results of testing through a questionnaire, the system is easy to use and can help the process of providing employee wages through the results of a recap of attendance and overtime every day.
Penerapan Logika ANFIS Sistem Penilaian Kinerja Dosen Pada Tri Dharma dan Perilaku Kerja Kiswanto Kiswanto; Benny Wijaya Benny; Yurindra Yuri; Marini Mar; Sarwindah Sarwindah; Supardi Supardi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp57-65

Abstract

This research is motivated by several problems related to the not-yet optimal implementation of the performance assessment of tri dharma lecturers and work behavior on the ISB Atma Luhur campus. The importance of this research is because the tri dharma lecturer performance appraisal system and work behavior are useful for study program accreditation and university accreditation. The purpose of this study is to make lecturers responsible for the tri dharma and work behavior. The method used in this study is the ANFIS logic method. The results of this study are in the form of a lecturer's report card or a lecturer's performance assessment for one semester issued by SPMI. The variables used are education and teaching 40%, research 20%, dedication 10%, and work behavior 30%. The main result is the report card for each lecturer. The main finding from the lecturers' report cards, a decision can be made for SPMI to reprimand lecturers whose lecturers report cards to fall into the category of "BAD" lecturer performance. The average teaching value obtained is 3,624 plus the research value is 2,920 plus the service value is 2,800 plus work behavior, the value is 2,908. Lecturer performance value = 0.4 teaching plus 0.2 research plus 0.1 community service plus 0.3 work behavior. Equals 1.450 plus 0.584 plus 0.280 plus 0.872 equals 3.186. So the performance value of this lecturer is included in the category of "GOOD" lecturer performance.
Studi Evaluasi Sistem Informasi Geografi Kasus Stunting Menggunakan COBIT 5 Framework I Gede Wiryawan; Dony Setiawan Hendyca Putra; Estin Roso Pristiwaningsih; Ely Mulyadi; Prawidya Destarianto; Khafidurrohman Agustianto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp10-16

Abstract

An application for data collection of stunting cases has been developed with data visualization in digital maps. This detailed information about stunting is a solution offered to solve problems in areas prone to stunting. This system requires further testing to get feedback from several relevant stakeholders. The COBIT 5 framework, with a combination of DSS and MEA domains, is used in this study to test this geography-based system of stunting cases. The interviews with system administrator respondents showed that the lowest scores were in the DSS05 and MEA02 domains of 75.20 and 74.67 on the Linkert scale. The same results were also obtained from management respondents consisting of heads of Puskesmas and midwives, 77.54 and 75.95. In the end, the level of achievement of the domain of the current system and its monitoring is compared between the current condition (as-is) and the general condition (to-be), indicating a gap. Based on the gap analysis, two-gap values were obtained in the DSS05 and MEA02 domains. Recommendations for improvement in the future are in terms of vulnerability to errors and increasing the ability of internal parties to control the system to handle errors.
Penerapan Konsep Continuous Review (Q,r) Pada Model Economic Order Quantity (EOQ) Uutuk Mengoptimalkan Persediaan Bahan Baku Minuman Adi Wahyu Romariardi; Mustafid Mustafid; Suryono Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp66-72

Abstract

The challenge in controlling the supply of beverage ingredients is strongly influenced by the stable condition of supply, prices and differences in the shelf life of the beverage ingredients themselves. The high cost of beverage ingredients such as milk, flavoring powder and the difficulty of finding supplies of certain beverage ingredients, all of the increase in prices and difficulties will certainly affect operations. There are three choices, either increase the price, reduce the profit, or reduce the portion size. All these choices will not be easy to decide. This study aims to build an information system by applying the concept of continuous review (Q,r) on the economic order quantity (EOQ) model to optimize the supply of beverage ingredients. With the application of the concept of continuous review (Q, r) in the economic order quantity (EOQ) model on robusta coffee beans  produces  the order quantity is 521.15 grams each time an order is at the inventory level at 746 grams, palm sugar produces the order quantity is 1,430.71 grams every time you order at a stock level at 1124 grams, UHT milk produces the order quantity is 1,188.4 ml each time you order at a stock level at 7462 ml, and sweetened condensed milk produces an order amount of 802,6 grams each time you order at a stock level of 758 grams.
Peramalan Harga Saham Serentak Menggunakan Model Multivariate Singular Spectrum Analysis Aris Marjuni
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp17-25

Abstract

Stock price fluctuations in the stock market are widely influenced by financial environment changes in both micro and macro that are usually unpredictable and can not be controlled by stock players. On the other side, stock price information is very essential and much needed for both buyers and traders. Stock price forecasting is one of the analytical techniques to obtain stock price prediction based on the previous historical stock prices. The open and close prices are important information in stock trading. The opening price can influence the movement towards the closing price, and the closing price becomes important for the next day's opening price. In technical analysis, the relationship between the two stock prices can be parametric or non-parametric. This study discusses the stock price prediction or forecasting through the non-parametric approach using a multivariate singular spectrum analysis method with the consideration that open and close prices are simultaneously working in the same system and time. Performance evaluation using Mean Absolute Percentage Error shows that the multivariate singular spectrum analysis method can produce predicted open and close prices with an error rate of 3.18% and 3.21%, respectively. Hence, this method can be used as an alternative for stock price forecasting simultaneously.
Algoritma C4.5 Untuk Klasifikasi Kelayakan Kredit Calon Debitur Pada Sistem Informasi Penjualan Raymond Sutjiadi; Titasari Rahmawati; Anindya Ayu Prahartiwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp89-97

Abstract

In the era of information technology, the internet can be used as a medium to sell goods easily. By using the web-based information system, market coverage can be leveraged and the probability of getting customers is bigger. In a transaction, especially in the retail market, the process of buying is usually carried out using a credit payment system. Of course, in order to approve credit application is required scrutiny assessment from creditor to debtor profile to guarantee the payment continuity. In this research is developed a sales information system, which is integrated with creditworthiness determination feature using C4.5 algorithm. In this system, customers are able to buy and also apply credit. The credit application process can be rejected or accepted by the admin by looking at the credit trustworthiness as the result of C.45 algorithm process. By using this feature can be determined whether a debtor is qualified or not to receive credit, based on profile qualification such as occupation type, number of dependents, and domicile status. To develop information systems is used the method of Incremental Model. This method is chosen to prioritize the finishing system by its urgency, separated into several sub-processes, i.e., sales information system, account management, purchasing, and admin. The system implementation result is tested using the Black-Box Testing method, which is considered the most effective to test the system comprehensively. Also, from the test result of creditworthiness determination feature is obtained accurate result with the average value of Precision = 0.876, Recall = 0.952, and F-Measure = 0.912.
Kepuasan Pengguna Layanan Shopee Food Menggunakan Algoritma Naive Bayes Cahya Dewi A. A. P. Chrishariyani; Yusril Rahman; Qurrotul Aini
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp98-105

Abstract

The rising growth of e-commerce in Indonesia has resulted in a shift in people's spending patterns toward online shopping. This growth triggers marketers or sellers to learn various strategies to satisfy consumers when shopping using applications, especially the Shopee online store. This study aimed to analyze the satisfaction of consumers and users of the Shopee food service application as measured in various aspects, including price and service quality. The population in this study were 33 respondents with a minimum age of 15 years and a maximum of 50 years who had to make payments at least once in the last six months on the Shopee application. The data collection technique in this study used an online questionnaire distribution using Google Forms, which was then analyzed by SPSS and classified using the Naïve Bayes (NB) algorithm with the RapidMiner tool. The analyzed data includes application display attributes or indicators, the number of drivers, price discounts, and payment methods. The results of this study indicate that all independent variables affect the dependent variable by 49.7% and simultaneously affect user satisfaction. Also, the accuracy of NB can reach 100% with 90% training and 10% testing data.
Sistem Informasi Manajemen Pengumpulan dan Pengangkutan Sampah Padat dengan Efisiensi Rute Menggunakan K-Means Clustering dan Travelling Salesman Problem Munji Hanafi; Budi Warsito; Rahmat Gernowo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp106-115

Abstract

The increasing population growth and rapid urbanization have resulted in large amounts of solid municipal waste (SMW). Nowadays, the problem of waste management is a problem that is being experienced by every country in the world. As a result, implementing efficient waste management strategies is increasingly needed. The collection and transportation of solid waste is the most important thing to pay attention to in waste management efficiency to reduce the costs of collecting and transporting solid waste. The research started by collecting data and interviewing the environmental services of Semarang City about the waste transportation system in Semarang City. The results of the data and interviews will then be used as a reference for the system analysis to be made. Then proceed with designing information systems. After that, the information system was developed by applying the Traveling Salesman Problem (TSP) method using a heuristic in the form of K-means Clustering. With the help of OR-Tools, TSP completion does not require node distance, just inputting the coordinates of each node. The study closed system testing. This research proposes a new approach to solving TSP. First is the process of assembling nodes into several clusters. Then, look for the shortest route in each cluster. The research resulted in 21 routes in 16 corridors to transport waste in Semarang City, presented on a map on a web-based Information System as Decision Support System (DSS). The comparison of the methods shows that TSP is the most suitable for this case.

Page 28 of 42 | Total Record : 412

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