cover
Contact Name
Nahrun Hartono
Contact Email
nahrunhartono@gmail.com
Phone
+6285342991420
Journal Mail Official
jurnal.shift@uin-alauddin.ac.id
Editorial Address
Kampus II Gedung D Fakultas Sains dan Teknologi Lt. IV Jl. H.M. Yasin Limpo No. 36 Samata Kab. Gowa Sulawesi Selatan - Indonesia, 90235
Location
Kab. gowa,
Sulawesi selatan
INDONESIA
Journal Software, Hardware and Information Technology
ISSN : 28083385     EISSN : 27768961     DOI : -
Core Subject : Science,
Journal Software, Hardware, and Information Technology (SHIFT) is an academic journal published in January and June by State Islamic University Alauddin of Makassar and managed by Department of Information System, Faculty of Science and Technology. The journal publish scholarly articles on the scope of Computer Architecture; Virtual/Augmented Reality; Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods); etc. Every manuscript submitted to Journal SHIFT is independently reviewed by at least two reviewers in the form of "peer-review". It is due to increase the quality of articles. Decision for publication, amendment, or rejection is mostly based upon their reports/recommendation. In certain cases, the editor may submit an article for review to another, third reviewer before making a decision, if necessary. The Editorial Team, however, reserves the right to make the final decision on the status of the manuscript with regard to publication.
Articles 6 Documents
Search results for , issue "Vol 3 No 2 (2023)" : 6 Documents clear
Rancang Bangun Aplikasi Kamus Bahasa Daerah Menggunakan Flutter (Bahasa Daerah Bugis Kabupaten Pinrang) Dillah, Nur Fadilah Rahmat; Ibrahim, Firmansyah; Rizaldy, Adhy
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.86

Abstract

The dictionary is one of the instruments that can be used so that language differences are not an interaction obstacle. However, the Bugis Language Dictionary is only available in certain places, such as language centers, and is not widely known by the native Bugis community or outsiders. In addition to the rare number, the Bugis language dictionary is still in the form of a thick book, so it takes a relatively long time to find the desired vocabulary and is felt less effective in its use. With this, the researchers designed an application using the Flutter Framework to help people who want to learn local languages. Flutter is an open-source SDK or framework developed by Google to design or develop an application that will run on Android and iOS operating systems. The development method used is Waterfall, the testing method used to test an application is black-box, and user validation testing uses the System Usability Scale with a total of 47 respondents. This application produces an average SUS score of 74.25 with a grade scale "B" and an adjective ranking value of "Good".
Implementasi Sistem Pengelolaan Rekap Jual Beli pada Toko Busana Aryasanti, Agnes; Wiharto, Yudi; Mufti, Mufti
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.89

Abstract

The buying and selling recap management system is a system that can help manage buying and selling transactions in a business. The aim of implementing a sales and purchase recap management system at the Fashion Store is to increase store management efficiency, facilitate financial management, monitor inventory, and reduce errors in recording transactions. The method used is in the form of observation, interviews, and data analysis to collect the necessary data. Furthermore, designing and implementing a buying and selling recap management system at the Fashion Store. This system can record buying and selling transactions automatically and generate reports on sales, purchases, and profits easily and quickly. The results of the implementation of the sales and purchase recap management system show that this system can increase store management efficiency, reduce errors in transactions, facilitate stock and financial monitoring. This system also makes it easy for users to access buying and selling transaction data and generate reports automatically. In conclusion, the implementation of a sales and purchase recap management system at Clothing Stores provides significant benefits for store management and can be applied to various types of businesses to increase management efficiency and save time and costs required in store management.
Prediksi Kualitas Red Wine dan White Wine Menggunakan Data Mining Praditya, Ni Wayan Priscila
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.90

Abstract

Data mining is a technique used in business intelligence or artificial intelligence capable of classifying and clustering data based on the nature and correlation of the data sets used. The methods commonly used in data mining are C45, K-Means, Apriori Decision Tree, KNN, LSTM, Naive Bayesian, etc. In this study, the method used is the Decision Tree method which aims to classify the quality of red wine and white wine. The results of this study indicate that the prediction of red wine has a precision of 61.1%, recall of 60.7%, f-measure of 60.3%, and an average accuracy of 60.7%, while white wine has a precision of 58.2%, recall of 58.7%, f-measure 58.4%, and 58.7% accuracy. The method used in this study also shows that the Decision Tree can outperform other previously applied methods, namely Lib-SVM, BayesNet, and Multi Perceptron.
Sistem Rekomendasi Pemilihan Program MSIB Bagi Mahasiswa Pendidikan Informatika Elnursa, Dian Budi; Nofriana, Vesy; Syamsuri, Agus; Cahyani, Laili
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.92

Abstract

This study discusses a recommendation system using a content-based filtering method with cosine similarity to help informatics education students choose the right Certified Independent Study and Internship Program (MSIB). The data used is data based on student interests, program and course data available on the MSIB web portal. The content-based filtering method is used to consider the suitability between student preferences and the MSIB program curriculum, while the cosine similarity algorithm is used to calculate the similarity score between different contents. The development of this recommendation system can assist informatics education students in choosing the MSIB program that is in accordance with the preferences of the student's interest profile. The results of the system evaluation obtained an average precision level of 89.4%, indicating that the list of recommendations provided by the system is very good and very relevant according to user preferences.
Penerapan Aplikasi Simulasi Ujian Akhir Semester Pada SMU Negeri I Tanjung Raja Berbasis Online dwi yunita, hilda; Tarnando, Kiki; Winarko, Triyugo
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.93

Abstract

The exam is a form of evaluation that is used to assess the achievement of the lessons taught by the teacher to students. In addition to the national exam, there is an end-of-semester exam at the school. Where the end of semester exams are still carried out conventionally or in writing such as at Tanjung Raja 1 Public High School. This resulted in a slow assessment process carried out by the teacher and a waste of paper and ink in doubling questions. Therefore, an application was created that can be used to carry out online final semester exam simulations. So that it can overcome all the problems that exist in the final semester exams at SMA Negeri 1 Tanjung Raja, North Lampung.
Identifikasi Nominal Mata Uang Rupiah Bagi Penyandang Tunanetra Dengan Algoritma Convolutional Neural Network Berbasis Android Nur Hidayat, Andi Muhammad; Antamil, Antamil; Zakiyah M, Ibnah
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.102

Abstract

What frequently occurs in today's life is the process of economic transactions, particularly during buying and selling. When engaging in these transactions, people always utilize money as the payment method. This implies that money serves a rather crucial function during transactions. However, for visually impaired individuals, the transaction process becomes problematic because they face difficulties in recognizing the denominations on banknotes. Deep Learning is a burgeoning field within Machine Learning that has shown significant development. Among data practitioners, Deep Learning is widely popular due to its exceptional capabilities in computer vision. One notable application is object classification in images. By implementing one of the Machine Learning methods that can be employed to classify Indonesian rupiah currency, Convolutional Neural Network (CNN) can be utilized. Based on the constructed architecture, the Convolutional Neural Network (CNN) method encompasses various types, with VGG-16 being one of them. In this study, 7 classes of Indonesian rupiah currency images were employed, each consisting of 190 images. The obtained accuracy rate is 83% when utilizing the VGG-16 architecture.

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