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INDONESIA
Jurnal Sistem Informasi
Published by Institut Teknologi dan Bisnis Ahmad Dahlan Jakarta
ISSN : 27978516     EISSN : 27978516     DOI : 10.32546
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 3 No 1 (2022): JUSIN" : 5 Documents clear
Sistem Informasi Kelurahan Koto Panjang Kota Solok Berbasis Web Silvia Ningsih
Jurnal Sistem Informasi (JUSIN) Vol 3 No 1 (2022): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v3i1.1642

Abstract

After conducting research at the Koto Panjang Village Head Office, problems were found regarding the preparation of certificates, which still used Microsoft Word. This results in the report requested by the leadership not being accurate, fast and timely. In writing this thesis, the research method used was field research, namely interviews by asking questions through question and answer, library research and research in the laboratory using the PHP programming language and MySql database. By utilizing a computerized system and the PHP programming language, it is hoped that it can help the process of creating certificates using storage media in the MySQL database, it is hoped that it can replace methods that are less efficient and effective and is expected to make reporting easier.
Efektivitas Metode Talaqqi Dalam Pembelajaran Daring Tahsin Al-Qur’an Di Kelas Viii Kkq (Kelas Khusus Al-Qur’an) Smpit Asy-Syukriyyah Tangerang Nasrulloh Nasrulloh; Virgiawan Azhari
Jurnal Sistem Informasi (JUSIN) Vol 3 No 1 (2022): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v3i1.1643

Abstract

This study aims: 1) to determine the application of the talaqqi method in online learning of tahsin Al-Qur'an in class VIII SMPIT Asy-Syukriyyah Tangerang. 2) to determine the effectiveness of the application of the talaqqi method in online learning of Al-Qur'an tahsin in class VIII SMPIT Asy-Syukriyyah Tangerang. 3) to find out the inhibiting and supporting factors for the effectiveness of the application of the talaqqi method in online learning of Al-Qur'an tahsin in class VIII of SMPIT Asy-Syukriyyah Tangerang. This research was conducted using a descriptive qualitative method. Data collection techniques carried out in this study using interviews, observation and documentation. The results of this study indicate that: 1) online learning of tahsin Al-Qur'an uses the talaqqi method with the zoom meeting application to convey material and student conditioning while the whatsapp video call application for talaqqi tahsin Al-Qur'an. 2) the talaqqi method is still effectively applied in online learning even though some network problems are found, but it can still be minimized by the teacher. 3) There are several inhibiting factors in online learning such as internet network disturbances, problematic online devices and the burden of internet data package costs. In addition, there are also supporting factors in online learning such as improving internet network services by the government, student discipline and responsibility and the role of parents or guardians of students while studying at home.
Implementasi Data Mining Untuk Menentukan Minat Siswa Dalam Menentukan Jurusan Pada Perguruan Tinggi Saeful Bahri
Jurnal Sistem Informasi (JUSIN) Vol 3 No 1 (2022): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v3i1.1644

Abstract

Class XII high school students are students who occupy a period of formal education before entering lectures, students who are in the teenage age range where at this age they have to make decisions for their future. In making these decisions, adolescents are often accompanied by confusion, uncertainty, and even stress so that making decisions that result in regrets in the future. Every year there are many vocational high school students who want to go to a college but do not know what major they want and apply in the world of work according to their talents and interests, so there are still many students who make decisions that are not in accordance with their interests and talents. make decisions based on the opinions of parents, friends or others. For this reason, a model is needed to classify these problems. In this study, three classification algorithms were used: decision tree, nave Bayes, and k-nearest neighbor with data mining techniques to find patterns from the model used, the results of this study are expected to help students determine the majors to be taken in lectures. From the results of this research test, the factor that most influences errors in majoring in college is the variable of majoring based on (self/friends/parents), and of the three algorithms used, the decision tree algorithm is the best algorithm with a high level of accuracy 75.38%.
Sistem Pakar Diagnosa Penyakit Tetelo Menggunakan Metode Certainty Factor Vany Terisia; Ellya Sestri; Dendi Raihan
Jurnal Sistem Informasi (JUSIN) Vol 3 No 1 (2022): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v3i1.1646

Abstract

In today's technological era, computers are not only used as a tool to complete human work but can also run applications designed to access information quickly. Expert systems are one part of artificial intelligence. An Expert Systems application is an application that transfers expert knowledge to a computer. That way the computer can also solve problems as is usually done by experts. Expert systems have been widely developed in various fields, including the field of animal husbandry. Detection of tetelo disease can use an expert system application. One of them is to detect Tetelo disease. Therefore, breeders can access information about Tetelo disease that is diagnosed with the help of an expert system that uses the Certainty Factor method. The Certainty Factor method serves to determine the degree of certainty of the diagnosis result.
Penerapan Data Mining Untuk Memprediksi Pembelian Mobil Bekas Menggunakan Algoritma Naive Bayes Diana Yusuf
Jurnal Sistem Informasi (JUSIN) Vol 3 No 1 (2022): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v3i1.2054

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.

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