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Contact Name
Fahrul Razi
Contact Email
fahrulrazi0398@gmail.com
Phone
+6282288401016
Journal Mail Official
fahrulrazi0398@gmail.com
Editorial Address
Jl. Ir. H. Juanda No. 77, Cirendeu, Ciputat, Jakarta Selatan, Provinsi DKI Jakarta, Indonesia
Location
Kota tangerang selatan,
Banten
INDONESIA
Jurnal Sistem Informasi
ISSN : 27978516     EISSN : 27978516     DOI : 10.32546
Core Subject : Science,
Content-Based Multimedia Retrieval, Cultural Heritage Applications, Data Mining, Distance Learning, E-Business/E-commerce, E-Government, E-Health, Enterprise Architecture Design & Management, Geographic Information System (GIS), Human-Computer Interaction, Information Assurance & Intelligent, Information Security & Risk Management, IS Operations Management, IS Organization & Human Resource Management IS Strategic Planning, Web Science, Social Media in Business, Multimedia Application, Big Data Research, New Technology Acceptance and Diffusion, Green Information Systems, Innovation Management/Technopreneurship Dan lain-lain
Articles 30 Documents
Evaluasi Keberhasilan Siamik UPN “Veteran” Jawa Timur Dengan Pendekatan Information System Success Model Delone And Mclean Rizky Ilman Nugraha; Moch. Abdillah Emha Ramdhani; Kevin Yohanes Wuryanto; Anita Wulansari
Jurnal Sistem Informasi (JUSIN) Vol 4 No 1 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i1.2069

Abstract

In this journal article, the authors evaluate the effectiveness of the Sistem Informasi Akademik (SIAMIK) at UPN "Veteran" Jawa Timur using the DeLone and McLean Information System Success Model. The main objective of this study is to assess how SIAMIK contributes to enhancing academic processes and improving overall institutional performance. The research approach employed is quantitative, employing a questionnaire as the data collection instrument. The respondents for this study were selected through stratified random sampling, utilizing the Slovin formula. The target population consisted of students using SIAMIK at Universitas Pembangunan Nasional "Veteran" Jawa Timur, with a total sample size of 117 students. The study employed SEM analysis techniques using SmartPLS 4 tools for data management. Out of the seven hypotheses tested, five hypotheses met the quality criteria. The findings of this research are expected to offer valuable insights and recommendations for the development of academic information systems not only at Universitas Pembangunan Nasional "Veteran" Jawa Timur but also in other educational institutions.
Penerapan Data Mining Untuk Memprediksi Pembelian Mobil Bekas Menggunakan Algoritma Naïve Bayes Diana Yusuf
Jurnal Sistem Informasi (JUSIN) Vol 4 No 1 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i1.2070

Abstract

Database can also be interpreted as a data warehouse. The amount of data collected in the database can be processed to generate valuable knowledge for science. One popular and widely used technique for processing databases is data mining. Data mining is the process of extracting knowledge from large and complex data warehouse. Data mining encompasses various algorithm to generate knowledge, one of which is naïve bayes. The dataset used in this research, employing the naïve bayes algorithm, consists of attributes relevant to the purchase of used cars, such year, transmission, mileage, car condition, and brand. This research aims to produce patterns and additional knowledge for participants in the used car business to identify the supporting factors in purchasing used cars.
Perancangan Aplikasi Data Mining Untuk Mempolakan Penjualan Pada Basoka Motor Shevti Arbekti Arman
Jurnal Sistem Informasi (JUSIN) Vol 4 No 1 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i1.2071

Abstract

Basoka Motor in its marketing activities is still done manually and has not yet idolized the sale of its motorbikes with the support of information technology. Designing an application can see the sales patterns that occur at Basoka Motor. To get information, one of the classification methods used in data mining is the decision tree method using the C.45 algorithm. Tests conducted between manual calculations and data mining applications on 27 motorcycle data obtained from Basoka Motor get the same results with an accuracy level of 100% using Confusion Matrix. Application development using the waterfall method with testing, namely Black Box Testing.
Sistem Informasi Inventory Penjualan Barang (Studi Kasus : Toko Aru Raya) Fahrul Razi
Jurnal Sistem Informasi (JUSIN) Vol 4 No 1 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i1.2073

Abstract

The system for handling product data in a store is one that can facilitate efficient operation. It is still not utilized by the majority of stores, which continue to manage their product data manually. Application for the Goods Data Management System at the Aru Raya Store, which will be sent to the stage of system implementation used to manage transactions at the Aru Raya Store. Numerous flaws in the current system have been discovered during the course of the field research procedure. Despite the fact that there is nothing as a whole, but rather leads to specific issues, it is anticipated to have a significant impact on system users. Because it will be quicker, more accurate, and more precise with this information system, the author of the information system designed the supply chain for Baceno Bag Convection. The author of this new system realized an effective system at Aru Raya Store in Lubuk Begalung by creating it utilizing the PHP, UML, and MySQL Database programming languages.
Konsep Pemberian Upah Terhadap Tenaga Kerja/Buruh Menurut Perspektif Islam Fahmi Ardiansyah Siregar; Hafiz Wahyu Wijaya Marpaung; Afrillia; Nabila Izmi Aina
Jurnal Sistem Informasi (JUSIN) Vol 4 No 1 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i1.2074

Abstract

A worker is a worker who works for another person by fulfilling his duties and obligations as an employee for the purpose of getting a wage commensurate with what he does in accordance with a predetermined collective agreement. In the case of giving wages, an employer may not deliberately default on his obligation to pay his employees, which in addition to violating the employment contract is also contrary to the principles of justice in Islam. Justice is seen from the accuracy of employers in giving wages to workers. The type of research used in this research is literature review research which results from the analysis of various conceptual information as well as qualitative and quantitative data from various previously published scientific articles. The results of this study are that Islam provides guidelines to parties who provide jobs to others that remuneration must include two things, namely fair and sufficient. Justice is seen from the accuracy of the employers in giving wages to workers, and can also be seen from the proportionality of the level of employment with the amount of wages they receive.
PERANCANGAN APLIKASI PEMESANAN BERBASIS ANDROID PADA JASA LAUNDRY (STUDI KASUS ARFA LAUNDRY SERPONG) Alif Raihanza Fauzan; Vany Terisia; Shevti Arbekti Arman
Jurnal Sistem Informasi (JUSIN) Vol 4 No 2 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i2.2091

Abstract

At this time, laundry service is a facility that is widely used by people with the density of activities carried out and limited time to do household tasks, especially in terms of washing and ironing clothes, therefore people prefer laundry services. However, in the current system there is no application that can make it easier for owners or customers to make the process of ordering laundry services and the ordering process is still done manually. To overcome these problems, researchers have provided a solution in the form of designing an Android-based laundry service application to facilitate the ordering process for laundry business owners and make it easier for customers in the process of ordering services. In designing this application the method used is waterfall. This waterfall method is executed sequentially, starting from the initial stage to the final stage, where each stage must be completed before starting the next stage. In the process of making it using Android Studio with the Java programming language and for database storage using Firebase. An android-based laundry service application designed for laundry services aims to improve service efficiency by facilitating laundry owners in receiving orders digitally, as well as helping customers in the process of ordering laundry services through their Android devices.
RANCANG BANGUN SISTEM INFORMASI E-LEARNING BERBASIS WEB (STUDI KASUS MI AL-INAYAH DARMINIYAH) Indri Mulyani Indri; Vany Terisia; Muhajir Syamsu
Jurnal Sistem Informasi (JUSIN) Vol 4 No 2 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i2.2092

Abstract

Learning is a process of interaction between educators and students where educators provide knowledge to grow at once develop insight, creativity and mindset of students. website-based e-learning to support the learning process teaching at MI Al-Inayah Darminiyah which can make it easier for students to learn and provide flexibility to be able to receive learning materials where and anytime without face-to-face contact with the teacher. The method used is the method and UML (Unified Modeling Language) and built using the PHP programming language (Hypertext Preprocessor) and using MySQL as database server as well XAMPP as a web server. Data collection through interviews with teachers and school staff as well as make observations which are then carried out by research literature. The result is that the e-learning website can be used by the admin, teachers and students at MI Al-Inayah Darminiyah in supporting the learning process teaching at the moment. Admins can manage teacher and student accounts, teachers can easily manage the material and assignments submitted. Student with easily get school notifications as well as materials and assignments delivered by the teacher. This e-learning website helps schools to improve processes learning optimally so that it can further affect improvement academic student achievement because of the convenience for students in accessing the media learning anytime and anywhere in accordance with the school's vision of " Menjadi Sekolah yang Berprestasi dan Berakhlakul Karimah”.
RANCANG BANGUN APLIKASI DATA MINING DENGAN ALGORITMA FP-GROWTH PADA DATA PENJUALAN SPAREPART MOBIL SUZUKI RADIO DALAM Qonita Adinda Putri; Diana Yusuf; R.Tommy Gumelar
Jurnal Sistem Informasi (JUSIN) Vol 4 No 2 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i2.2143

Abstract

Suzuki Radio Dalam is an automotive company operating in the automotive sector. They have been facing a challenge where sales data of spare parts has been accumulating without being effectively utilized or managed. The company has never employed data mining techniques to extract meaningful patterns or insights from this spare parts sales data. To address these issues, the researchers adopted the data mining technique known as the FP-Growth algorithm. The FP-Growth algorithm is a form of association algorithm within data mining. Association algorithms are utilized to uncover relationships and connections between variables present in a dataset. Through the application of the FP-Growth algorithm, data can be extracted through the construction of FP-Trees, which reveals insights into patterns of items purchased by customers. This method allows for the identification of frequently co-purchased items, enabling the company to devise marketing strategies aimed at boosting spare parts sales. The proposed solution involves creating a web-based platform to facilitate the FP-Growth algorithm calculations, particularly when dealing with large volumes of data. This web-based system was developed using PHP and utilizes a MySQL database. This data is then subjected to FP-Growth algorithm calculations and subsequently analyzed to generate association rules. These association rules hold valuable information about customer purchasing patterns. The implementation of this web mining solution streamlines the FP-Growth algorithm calculations, making it more manageable and efficient when dealing with substantial datasets. The resulting association rules derived from these calculations provide actionable insights for Suzuki's marketing strategies. By offering enticing promotions to customers based on the information gleaned from these association rules, the company aims to enhance spare parts sales.
ANALISIS SENTIMEN ULASAN APLIKASI DEEPL PADA GOOGLE PLAY DENGAN METODE SUPPORT VECTOR MACHINE (SVM) Septi Putri; Yohanes Agung Apriyanto; Andri Wijaya
Jurnal Sistem Informasi (JUSIN) Vol 4 No 2 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i2.2368

Abstract

Di era globalisasi dan kemajuan teknologi, pertumbuhan penggunaan aplikasi mobile mengalami perkembangan yang pesat. Memahami tingkat kepuasan dan ketidakpuasan pengguna terhadap aplikasi seluler sangatlah penting. Salah satu aplikasi penerjemah online yang sangat populer di Google Play Store adalah DeepL yang menggunakan teknologi kecerdasan buatan untuk menerjemahkan bahasa. DeepL telah menjadi alat yang sangat berguna bagi individu dan organisasi dalam mengatasi hambatan bahasa. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap review pengguna aplikasi DeepL pada platform Google Play Store, dengan menggunakan metode klasifikasi Support Vector Machine. Metode klasifikasi Support Vector Machine (SVM) merupakan salah satu pendekatan klasifikasi dalam ranah pembelajaran terbimbing dalam data mining. Keunggulan SVM terletak pada kemampuannya menangani data input nonlinier dan berdimensi tinggi dengan memanfaatkan fungsi kernel. Pengumpulan data dilakukan dengan teknik Web Scraping dengan menggunakan Python. Hasil penelitian ini menunjukkan tingkat akurasi sebesar 91% yang mencerminkan seberapa baik model Support Vector Machine (SVM) dalam mengklasifikasikan data. Dalam penelitian tersebut diketahui bahwa model memiliki tingkat presisi yang tinggi terutama pada kategori ‘Positif’ sebesar 94% yang menunjukkan kemampuan model dalam mengenali data yang termasuk dalam sentimen positif secara akurat.
IMPLEMENTASI SISTEM PAKAR CERTAINTY FACTOR UNTUK ANALISA PENYAKIT SINUSITIS FahrulRazi
Jurnal Sistem Informasi (JUSIN) Vol 4 No 2 (2023): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v4i2.2373

Abstract

Humans can suffer from a variety of sinusitis types, which can be uncomfortable when engaging in activities. Insufficient understanding of sinusitis illness casts doubt on the diagnosis of sinusitis type. An inflammatory condition called sinusitis affects the mucous membrane of the sinuses, an air-filled chamber in the head that surrounds the nose. It is referred to as maxillary sinusitis if it affects the cheekbones. Ethmoid sinusitis is the name for the one that is situated near the corner of the eye, behind the nose bridge. Frontal sinusitis is the term used to describe the one on the forehead. Spheniodalis sinusitis is the name for the one behind the ethmoid sinus. This paper explains how the Certainty Factor technique is used by the expert system to diagnose sinusitis. The Certainty Factor approach is used to determine who first detected the illness sinusitis by obtaining data based on the effect from observations. PHP is the programming language used to create this Expert System application, and MySQL is the web-based database. In summary, this method is simple to use and build, and it might be helpful for anyone who are interested in learning more about sinusitis.

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