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E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 19790155     EISSN : 26148870     DOI : -
Core Subject : Economy,
Economics, Econometrics & Finance
Jurnal Sistem Komputer dan Manajemen Informatika
Arjuna Subject : -
Articles 577 Documents
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Rancang Bangun Sistem Penjualan Tunai dan Penerimaan Kas Berbasis Multiuser Rini Rubhiyanti; Sekar Putri Pertiwi; Febryantahanuji Febryantahanuji
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.242

Abstract

Sales are the main activity to generate profits. Sales and recording procedures that are good and according to company needs can be carried out with a sales accounting system. Cash sales and cash receipts are very important in an agency, because cash is an important asset. In recording sales and cash receipts, this agency still uses manuals. This study designed a system that is able to assist companies in calculating sales and cash receipts. With this cash sales and cash receipt information system, it is hoped that the procurement, sales planning and supervision will be carried out very well. besides that, it can also produce reports that are precise, accurate and efficient.
Penerapan Algoritma Random Forest Untuk Menentukan Kualitas Anggur Merah Supriyadi, Riki; Gata, Windu; Maulidah, Nurlaelatul; Fauzi, Ahmad
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.247

Abstract

Abstract In this study that was used as the object of research in classifying red wine based on the quality influenced by each red wine or red wine based on the content of each type of wine, from each attribute containing the composition in the wine seen which attributes most affect the quality of red wine, so that it will be known ingridents that can improve the quality of the wine, in this study was carried out by the application of Machine learning by comparing three algorithms of mining data that is , Decission Tree, Random Forest and Support Vector Machine (SVM), from the results of research that has been done by comparing the three algorithms, Random Forest produced the best accuracy among other algorithms that have been tested. Random Forest with accuracy results of 0.7468 makes this algorithm best used to classify the quality of red wine. And in the second order Decission Tree with accuracy results of 0.7031, while Support Vector Machine (SVM) get an accuracy result of 0.65. So in the research that has been done to classify the quality of red wine based on its composition Random Forest becomes the best algorithm to use..
STRATEGI BISNIS ERA NEW NORMAL PADA KEDAI KOPI DI SURABAYA (Studi Kasus Pada Beby’s Coffee di Jalan Srikana Timur No. 44 Surabaya) Muhammad Ainun Nasihin; Subagyo, Salma Egita Fitri Subagyo; Shintiya Anggi Erfariani; Siti Ning Farida
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.248

Abstract

Penelitian ini bertujuan untuk melihat dan menganalisis strategi bisnis di Era Normal Normal yang diterapkan oleh Beby's Coffee. Penelitian ini dilakukan dengan menggunakan metode analisis SWOT (Strengths, Weaknees, Opportunity, dan Threat). Jenis penelitian ini dilakukan dengan menggunakan penelitian kualitatif dengan menggunakan pendekatan deskriptif dan teknik purposive sampling pada pemilik usaha, karyawan, pengunjung Beby's Coffee. Hasilnya kemudian dianalisis dengan menggunakan metode SWOT. Hasil analisis yang telah dilakukan oleh Beby's Coffee menunjukkan bahwa strategi bisnis di Era New Normal ini dapat berjalan dengan lancar dan seimbang di tengah banyaknya pesaing. Dengan adanya kompetitor tersebut, menjadi tantangan tersendiri bagi para pemilik usaha untuk menciptakan inovasi guna mengembangkan usahanya. Di tengah Era Normal Normal ini, Beby's Coffee terus melakukan inovasi terbaru dengan membuat produk “Kopi Seliter” untuk meningkatkan daya tarik konsumen.
ALGORITMA KLASIFIKASI DECISION TREE UNTUK REKOMENDASI BUKU BERDASARKAN KATEGORI BUKU Maulidah, Mawadatul; Windu Gata; Rizki Aulianita; Cucu Ika Agustyaningrum
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.251

Abstract

With the increasing development of technology the more variety of books circulating on the internet. As is the recommendation system on online book sites that provide books relevantly and as needed with one's preferences. One alternative is GoodReads, a social networking site that specializes in cataloging books and users can share reading book recommendations with each other by rating, reviewing, and commenting. As a large book recommendation site, it has a lot of data that can be processed by applying machine learning methods, but still not known as the most accurate model. By using the right model, we can provide more accurate recommendations. Therefore, this study will analyze the data obtained from the www.kaggle.com namely the goodreads-books dataset. This study proposed a data mining classification model to get the best model in recommending books on GoodReads. The algorithms used are Decision Tree, K-Nearest Neighbor, Naïve Bayes, Random Forest, and Support Vector Classifier, then for model evaluation using accuracy, precision, recall, f1-score, confusion matrix, AUC, and Mean Error Absolute. The test results of several classification algorithms found that Decision Tree has the highest accuracy among the methods presented by 99.95%, precision by 100%, recall by 96%, f1-score of 98% with MAE of 0.05 and AUC of 99.96%. This is proof that decision tree algorithms can be used as book recommendations based on book categories on GoodReads.
Sistem Informasi Manajemen Kepegawaian Penentuan Karyawan Terbaik Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Web Sindhu Rakasiwi; Haryo Kusumo; Rifal Winazar
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.252

Abstract

In the era of information and technological developments that are very rapid as it is today, in the context of managing human resources in a company or what is known as a personnel management information system. The problems faced by PT. Nerangi Sarana Karya, namely until now, the staffing data management is still using a manual system that is not well computerized, does not have a database as a data storage medium, data sharing is not via the network and still uses hardcopy printouts. Seeing the problems that occur in the personnel administration subdivision of PT. Nerangi Sarana Karya, the author intends to develop a web-based personnel information system (SIMPEG) to hide staffing master data, employee data, promotions, and periodic salary increase data. using PHP and MySQL. The system development method that I use is AHP. In the end, this system can provide output to its users in the form of a promotion decree, a regular salary increase decree and employee reports.
Pengaruh Pembelajaran Akuntansi Berkarakter, Minat Dan Motivasi Belajar Terhadap Prestasi Belajar Mahasiswa Akuntansi (Studi Kasus Pada Universitas Victory Sorong) Solissa, Ferdinando; Putu Anggreyani Widya Astuty
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.255

Abstract

This study aims to examine the effect of learning accounting character, interest, and learning motivation on learning achievement of accounting students at the University of Victory Sorong. The research was carried out on all students of the Accounting Study Program of the Faculty of Economics and Business, University of Victory Sorong. The data collection method used in this study is a survey method through distributing questionnaires. The sampling technique used was saturated sampling method. Students as the unit of analysis participated as many as 83 students. Data analysis used multiple linear regression with the help of the application of Statistical Package for The Social Science version 22. The results showed that the character of accounting learning, interest, and learning motivation had a positive and significant effect on learning achievement of accounting students.
PENGGUNAAN ASSOSIATION RULE MINING DALAM PENETAPAN HARGA PROMOSI, STOK, DAN PENATAAN PRODUK PADA ETALASE Budi Raharjo
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 1 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i1.282

Abstract

In the first quarter of 2017, retail in Indonesia recorded a growth of 2.5%, while in 2018 the growth was only in the range of 1% -1.5%. The cause of the slow growth is the change in the consumption pattern of the people and it will continue at the beginning of 2018. In addition, the decreasing productivity of the community at the lower middle level. As a retailer, Anterah store also faces the same thing, so anticipating a decline in sales requires an analysis of the best-selling products and how to find out the relationship between the products purchased by consumers. The association relationship between these products will be used as the basis for product arrangement, so that the frequency of products that consumers often buy can be arranged closely together so that consumers do not have to look for them longer. Market basket analysis to determine the relationship between products sold simultaneously is used to explore association rules (Association Rule Mining) which will produce products that are purchased simultaneously as a consideration for product arrangement in Anterah Retail storefront. Meanwhile, the best-selling products will be explored using the Frequent Pattern Growth method in order to obtain a ranking list of the most purchased products by consumers. This analysis is used as a basis for considering product promotion. The test results on the sales sample data obtained an average value of minimum support = 0.0025, minimum confidence = 0.610, LaPlace = 0.9985, Gain = -0.006, p-s = 0.003, Lift = 103.82, Convicting 2.5285 with a processing time of 41.456 seconds.
Sistem Pengambilan Keputusan Untuk Rekomendasi Pembelian Produk Dengan Menggunakan Metode Fuzzy MCDM Jarot, Jarot Dian Susatyono; Febryantahanuji Febryantahanuji; Iddo Elianta Herlambang
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.286

Abstract

PT. Nerangi Sarana Karya often experiences several problems because of the large number of purchases purchased but there is no system that helps to recommend product purchases, for example on 9 October 2018 PT. To solve the problems that occur at PT Nerangi Sarana Karya, it is necessary to apply a decision making system using the Fuzzy MCDM method, based on the results of data testing that this method has an accuracy rate of data analysis of 87% so that this method is quite feasible to use in decision making.
Sistem Keamanan Parkir Roda Dua Menggunakan Radio Frequency and Identification (RFID) Andre maulana; Dani Sasmoko; Iman Saufik Suasana
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.288

Abstract

Security Parking UIN Walisongo Semarang at this time can be said to be in poor condition. The high case of loss of a motor vehicle cause anxiety for the academic community. Parking system that is traditional that is doing the checking of identity cards at the exit of the campus is less effective. Hence the need for a system of security parking modern and computerized, so that activities out of the vehicle can be recorded and stored automatically. Based on these problems, the authors designed a parking Security System as a WEB-based form of increased security parking campus UIN Walisongo Semarang. By using RFID technology (Radio Frequency Identification) are planted on the card identity, which can later be used as an authentication tool typing will enter and exit the campus area. To provide double security, there are Features of the Live Camera with the base website that serves as a tool for monitoring vehicles that are parked in real time. The output of this final project is to produce a prototype security system parking. Not only specialized hardware, but also software design of the System monitoring of vehicles in live Web-based. So the users of the parking facilities can monitor the vehicle anywhere.
Pengaruh Konflik Kerja Serta Tekanan Pikiran Pada Kinerja Karyawan Di PT Herculon Carpet Semarang Suprihono Setyawan; Feti Nur Rahmawati; Budi Hartono
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.303

Abstract

The purpose of this study was to determine the effect of work conflict and work stress either partially working, and the simultaneous of the employee performance at PT Herculon Carpet Semarang. This research is a descriptive quantitative study with sample 72 employee. Data collection methods used were purposive sampling. Data were analyzed with the statistical software SPSS 25. The result of the research showed that variable of work conflict influence significant positive for employee performance with thitung score amounted 4,261 > ttabel 1,995 and significant score 0,000 ˂ 0,05, variable of work stress influence significant positive for employee performance with thitung score amounted 3,215 >ttabel 1,995 and significant score 0,002 ˂ 0,05, then variable of work conflict and work stress simultant influence significant positive for employee performance Fhitung score amounted 22.044 > Ftabel 3,13 and significant score 0,000 ˂ 0,05. Result for koefisien determinasi (R2) amounted 0,390 or amounted 39%

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