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JURSIMA (Jurnal Sistem Informasi dan Manajemen)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer GICI
ISSN : 23381523     EISSN : 2541576X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science
Jurnal ilmiah yang diterbitkan oleh Sekolah Tinggi Manajemen Informatika dan Komputer GICI. Jurnal ini merupakan sarana untuk mempublikasikan hasil penelitian orisinil yang berhubungan dengan sistem informasi dan komunikasi, sistem komputer, manajemen informatika serta bidang-bidang terkait lainnya. JURSIMA terbuka untuk kalangan dunia akademik dan peneliti perguruan tinggi, lembaga penelitian, pustakawan, mahasiswa S1, S2 dan S3 untuk saling berbagi informasi hasil-hasil penelitian.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 183 Documents
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ANALISA PEMBELIAN SEPEDA MENGGUNAKAN ALGORITMA APRIORI PADA TOKO SEPEDA BRADEN BIKE Dicky Miftakhul Rizki; Odi Nurdiawan; Saeful Anwar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.465

Abstract

The store is a place for trading activities that provide all daily necessities with a special type of goods. Braden Bike Shop is a store that sells a variety of bicycle products and accessories, but the data collection of sales transactions for goods that have been sold is usually written on sheets of paper and collected paper that has been sold and rewrites items that have been sold manually to new paper to record sales reports every month with the current system, The purpose of this study is to find the rules of the combination of items by looking at the relationships of two or more variables, The method used is the A priori Algorithm Method in data mining techniques, namely the association rule or association rule used using a minimum support of 10% and a minimum of confidence of 50%, The results obtained are 12 rules 2 itemsets and 2 rules 3 itemssets following sales for 1 year using a priori algorithms, namely categories Aviator_GN, Exotic_GN, Interbike_GN, Fastron_GN, Polygon_GN, Seat Covers, Anti-Slip_AS Grips and Bell_AS. Results obtained based on manual calculations and using Rapid Miner software have results above the minimum support of 10%and confidence of 50%.
IMPLEMENTASI DATA MINING PADA KETEPATAN PENGIRIMAN BARANG DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS Arif Rinaldi Dikananda; Nurjana Adi Wijaya; Mulyawan Mulyawan; Ahmad Faqih
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.472

Abstract

Abstract The development of digital technology E-commers is increasing, online shop goods delivery services are needed to support daily needs. The delivery man is in charge of sending goods to customers, with the delivery of goods applications can monitor delays in delivery of goods to customers so as to obtain data on delays in delivery of goods or called Over SLA. However, in processing the data, they still use manuals with Microsoft Excel so that they are lacking in providing more accurate information such as the accuracy of the accuracy of the delivery of goods, grouping of data on delays in the delivery of goods. The method used in this study by utilizing data mining using the K-Nearest Neighbors or KNN algorithm to classify or group data on delays in shipping goods. This method is used in data mining using Rapidminer machine learning applications. This study aims to classify data on delivery of goods and grouping data on timeliness of delivery so that data can be processed properly so as to produce information about the accuracy of delivery of goods by delivery man, to be more effective and faster in presenting data and classifying data. Keywords: Data mining, Classification, K-Nearest Neighbor (KNN).
RANCANG BANGUN APLIKASI SISTEM INFORMASI PENDATAAN PELAUT BERBASIS WEB Arif Rinaldi Dikananda; Saefullah Fasa; Irfan Ali; Gifthera Dwilestari
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.473

Abstract

PT. Abdi Marine is one of the companies that has not used a web-based information system in the marine data collection section, where the data processing system is still manual. It often happens that seafarers' registration and flight date research takes up a lot of paper and seafarer data storage space, the calculation of the date is less accurate and making reports of incoming and outgoing seafarers' data takes a lot of time. To emphasize and learn in understanding the problems as described, the problem formulation that researchers can explain is to design a computerized marine crew data collection information system, create a database of data services for managers to carry out their work. The purpose of this research is to find out, develop and create an ongoing data collection application system into the PHP and HTML programming language using the MySQL database. So that researchers can draw conclusions in processing sailor crew data collection by implementing applications that have been designed and built in a systematic and structured manner, so that the level of damage in the process of implementing sailor crew data collection can be resolved.
RANCANG BANGUN SISTEM INFORMASI PERSEDIAAN BARANG BERBASIS WEB PADA PT PARAGON FURNITAMA INDUSTRY Arif Rinaldi Dikananda; Shofian Yunus; Saeful Anwar; Odi Nurdiawan
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.474

Abstract

PT. Paragon Furnitama Industry is one of the companies engaged in the production of fabric and leather sofas, back seats, and chair cushions, at this time the inventory process is still done manually because it still uses records in books and Microsoft Excel, the process sometimes finds several problems including data redundancy, discrepancies in stock of goods with records, and providing long reports because data validation is needed first. So that the information received by the parties concerned is very difficult to obtain quickly. To emphasize and study the problems as described, the problem formulation that researchers can explain is to design an inventory information system so that the company's performance is getting better. The Design and Build of this Goods Inventory Information System is built based on a website. The design of the information system uses the Software Development Life Cycle (SDLC) with the waterfall method so that this design system is expected to improve performance and performance, especially those related to processing inventory data to making inventory reports at PT. Paragon Furnitama Industry.
Irvan Himawan PREDIKSI HARGA SAHAM DENGAN ALGORITMA REGRESI LINIER DENGAN RAPIDMINER Irvan Himawan; Odi Nurdiawan; Gifthera Dwilestari
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.475

Abstract

Stock investment in the capital market is very important for every company in the world. Stock prices in the capital market move very randomly, the highs and lows of stock prices are influenced by many factors. Therefore, it is necessary to predict the stock price so that it can help investors to see investment prospects in the future. In this study, the prediction of the stock price of BRI Bank with the BBRI stock code will be carried out, using an algorithm, namely Linear Regression on rapid miners. This Linear Regression Algorithm is the best algorithm to use because it is the most complex compared to other algorithms. Based on signaling theory, which are information signals needed by investors, the value of forecasting results that have been obtained can be used to consider investors' decisions that the stock has high or low risk in the future. Based on the theory of risk, this forecasting analysis helps investors to minimize losses. Stock prediction is one of the technical analysis. Stock buying and selling transactions without technicalities are gambling behavior and contain gharar or ambiguity. The impact of not using this technical analysis clearly resulted in transactions containing maisir and gharar which were clearly prohibited. The historical stock data used in the test was obtained from the finance.yahoo.com web page with the category PT. Bank Rakyat Indonesia Tbk, or with the issuer code BBRI shares. What will be used is annual data for the last 5 years in the form of time series accompanied by open, high, low and volume variables as independent variables and close as dependent variables. The algorithm used is multiple linear regression.
A Analisis Pengaruh Strategi Flash Sale Terhadap Minat Beli dan Perilaku Impulsif Mahasiswa ITS Noverita Rizki Pramesta; Cecilia Melva Natania; Awliya Hanun Izdihar; Nur Aini Rakhmawati
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.487

Abstract

In this era of digitalization, many things can be done easily thanks to the help of technology. One of these things is buying and selling, which now no longer must come to the store to buy goods. Only by relying on smartphones, people can buy and sell a product on e-commerce. In addition, there are also many attractive offers provided by e-commerce, one of which is a flash sale which will give you product prices on certain days. Of course, this is done as a marketing strategy to attract people's buying interest in the store, not infrequently for student consumers. However, this can also result in the impulsive behavior of consumers in purchasing e-commerce products. This study aims to determine how the flash sale strategy influences the buying interest and impulsive behavior of consumers, especially ITS students. This study uses a convergent validity test based on the value of factor loading and Average Variance Extracted and a reliability test based on the value of composite reliability and Cronbach's alpha. Then, analyzed by r-square value and Path Coefficient test. The results of data processing showed that trust in products and flash sale programs influenced consumer buying interest which could encourage consumer impulsive buying behavior in ITS student consumers. Keywords: flash sale, e-commerce, buying interest, university students, impulsive behavior
Implementasi Sistem Informasi IMPLEMENTASI MODEL WATERFALL DALAM SISTEM INFORMASI PEMINJAMAN BUKU PADA PERPUSTAKAAN SEKOLAH Dahlia Dahlia; Endah Wiji Lestari; Leliyanah Leliyanah
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.491

Abstract

In the era of technology that has developed rapidly today, of course, the use of computers can help human work to be faster, and more efficient, of course with the right hardware and software support. SMK 17 August 1945 is a vocational high school which consists of 2 majors, namely Administration and Book Management and Business Administration. At this time, book borrowing activities that occur in school libraries still use large books in recording borrowing and returning books, as well as in the process of collecting incoming books or new books to recording damaged books, until the reporting process is still done conventionally. Allows for errors in the recording process, data loss due to shabby old files or negligence of officers in terms of fines if there is a delay in returning books by students. Problems that occur during the process of borrowing and returning books in the library at this time, library information systems that can manage book borrowing data that can support and provide good services for staff, members and library visitors. Application of the waterfall model on software requirements, software system design, implementation and unit testing. While the information system design method will be described using a unified modeling language (UML), namely use case diagrams, activity diagrams, sequence diagrams and class diagrams.
PENERAPAN METODE PIECES DALAM EVALUASI APLIKASI PEDULI LINDUNGI Kevin Septianzah; Irawan Setiadi; Imam Himawan
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.493

Abstract

Abstract Starting with the COVID-19 pandemic which caused instability in all sectors, especially in the industrial sector, all were affected, for example for companies that were developing or already advanced, disrupting the FIFO (First In First Out) cycle which resulted in risks that led to losses, which has reached the BEP number. (Break Event Point) alone is enough, but for the current situation, it is very difficult to develop so far to survive, that is enough, therefore the government issued a policy towards the people in Indonesia, regarding a free-based application called Peduli Protect to protect the community. can assist the government in the tracking process. Through Peduli Protect, the government will make it easier to detect the flow of the spread of COVID-19. In addition, it can also be seen that every close contact that occurs between individuals as an effort to limit the growth of covid19. At first the Peduli Protect application was still very limited in number of users, with the passage of time, the Peduli Protect application continued to improve its functions. One of its functions is access to vaccine certificates, screening visiting, tracking records of domestic and international traveling. The Peduli Protect application can be used on two operating systems such as Android and iOS. In this research, a problem is raised regarding the complexity of information that often occurs, such as an example of updating information, therefore the author raises the topic of discussion regarding the application of the pieces method to the Peduli Protect application, to ensure that the application when compared to this method can be measured as much as possible against information data. which is obtained in a complex manner . Keywords: Covid19; Peduli Lindungi; PIECES; Evaluation Spesification; Prototype
PERANCANGAN DAN ANALISIS VIDEO DOKUMENTER PRODUK EKSPOR TURUNAN KELAPA DENGAN METODE MDLC Jimmy Pratama; Juliantio Juliantio
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.496

Abstract

Coconut derivative export products are a collection of original processed products from the coconut plant which are processed through several methods. These products have been processed so that their shape can no longer be recognized by the public. In terms of selling value, these products have promising prices in the international market via export trade. Perhaps we often encounter these products but the origin is unknown, and the level of exports in Indonesia is still relatively minimal. With this research, it is hoped can provide knowledge and stories behind these products in a creative and cinematic manner as well as educate the audience. The method used is a qualitative approach with an MDLC development model conducted by interviewing 6 Indonesian citizens who work as processors of these products. It is hoped that the results can develop public insight, especially among coconut exporters so that exports of these products can increase significantly. This study analyzed the form of a content expert test on 2 coconut derivative product experts and a media expert test on 2 multimedia experts using the Gregory formula. The results of the content expert and media expert test are "1.00" and the audience response test is "92.00%".
RANCANG BANGUN SISTEM PENGADUAN PENANGANAN KEKERASAN SEKSUAL DI UNIVERSITAS MARITIM RAJA ALI HAJI Indra Firdiyansyah; Riki Riki; Kiki Wulandari; Putu Rani Susanthi; Nasruji Nasruji
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.499

Abstract

This study aims to build a complaint handling system that is fast and can monitor its progress. The method used in this study using the ultrasound matrix method and fishbone diagrams. The results show that with the system, reports of sexual violence are more recorded and can be resolved, because the perpetrators do not need to feel afraid when giving reports, and there is no longer a power imbalance between the perpetrators and the perpetrators do not feel afraid of the perpetrators of higher positions. Keywords: layanan, laporan pengaduan, fishbone, USG

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