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Jurnal Informatika dan Bisnis
Published by INSTITUT BISNIS DAN INFORMATIKA KWIK KIAN GIE
ISSN : 23019670     EISSN : 24775363     DOI : https://doi.org/10.46806/jib.v12i2
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
Jurnal Informasi dan Bisnis (JIB) adalah jurnal yang diterbitkan oleh Institut Bisnis dan Informatika Kwik Kian Gie dengan p-ISSN 2301-9670 dan e-ISSN 2477-5363. JIB terbit dua kali dalam setahun, yakni setiap Juni dan Desember, dan telah terbit dalam bentuk cetak (buku) dan elektronik (PDF). Fokus dan bidang di JIB meliputi: Informatika, Ekonomi, Bisnis, Manajemen, Manajemen Informatika, Informatika Ekonomi, Informatika Bisnis, Pembangunan Ekonomi, Informasi Akuntansi, Manajemen Informatika Produksi, Informatika Produksi, Distribusi Informatika, Informatika Konsumen. Kami mendorong pembaca dan penulis untuk mengirimkan artikel berisi ide atau kontribusi orisinal terbaik. Naskah bisa berupa artikel riset kuantitatif, artikel riset kualitatif, artikel review, short communication, metoda riset dan rancangan sistem, dengan syarat memiliki kebaruan dan bermanfaat secara praktis dan akademis.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 6 Documents
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Search results for , issue "Vol. 11 No. 2 (2022): Edisi Desember 2022" : 6 Documents clear
ANALISIS TRENDING TOPIC PADA BLOG SEPEDA MOTOR DI INDONESIA DENGAN MENGGUNAKAN TEXT PROCESSING STUDI KASUS IWANBANARAN.COM Sigit Birowo
Jurnal Informatika dan Bisnis Vol. 11 No. 2 (2022): Edisi Desember 2022
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

ABSTRACTThis research was conducted because of the rapid flow of information that takes place along with the development of information and technology. Information technology was developed in order to facilitate and improve human performance in daily life. One form of data that is widely used by us is text data. Text data is more difficult to process because of its unstructured form. Text processing is a part of data mining which consists of the process of extracting data in a very large number to retrieve important information and interesting patterns in it. In this study, text processing is done to obtain data on the patterns and the trends of data that often appears in a web. Data source obtained by the author from direct observation in the web page. Data taken consists of article title, posting date, tags, and link each article. The data collected together for further reprocessed using text processing and displayed through the Graphical User Interface display, better known by the term GUI for easily understood data by users. The result from this study is the tabular report that describes the trend of the discussion of each month from January to June, the trending topics for six months based on the number of documents and the total appearance, as well as the graphs showing the development trend of topics over time.Keywords: Analysis, Measurement, Blog, Tags, Text Processing, Tokenizing, Filtering, Database, RapidMiner, Graphical User Interface.
IMPLEMENTASI SISTEM PAKAR UNTUK MEMPREDIKSI POTENSI KECANDUAN MAHASISWA TERHADAP GAME ONLINE MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Akhmad Budi
Jurnal Informatika dan Bisnis Vol. 11 No. 2 (2022): Edisi Desember 2022
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

ABSTRACTTechnology development in Indonesia is very fast. There are many benefits of technology, one of which is for entertainment needs. Playing online games is a form of entertainment need. Apart from having benefits, online games also have a negative impact on life, namely that a person can become addicted. To ensure that someone has an addiction, that person must go to an expert, namely a psychologist. However, to do counseling requires a lot of money, so this early detection system is made for people who like to self-diagnose themselves addicted to online games. Expert system is a form of Artificial Intelligence. Implementation of an expert system can be collaborated with the forward chaining method. This research uses the waterfall development method. The data taken for this study were obtained through questionnaires and interviews. The data will be used in the form of a knowledge base which contains 6 aspects consisting of 40 lists of symptoms along with their indicators and 5 solutions obtained from interviews with a human expert. Decision making in an expert system will be processed using a formula that has been given by human experts. The results of this study are the percentage of potential addictions to online games and solutions obtained by answering knowledge base statements. The expert system produced by this researcher can be used as an initial assessment that makes it easier for psychologists to make diagnoses.Keywords : Expert System, Addiction, Game Online, Forward Chaining
IMPLEMENTASI SISTEM PENGGAJIAN RESTORAN MENGGUNAKAN METODE BAGI HASIL BERBASIS WEB Grace Martha Geertruida Bororing
Jurnal Informatika dan Bisnis Vol. 11 No. 2 (2022): Edisi Desember 2022
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

ABSTRACTThe influence of technology has been very attached to life and everyday life in every way. The development of this technology has brought many changes to society. most people have switched from conventional systems to digital systems, even automation. Now all sales data, purchases, transactions, and other things in a business are very easy to manage and access. In the process of making this web-based payroll system, researchers are looking for, and studying theories related to websites and payroll systems. This research was conducted using the agile method. The design of the system made includes use cases, activity diagrams, class diagrams, interface designs, and implementation of the system whose purpose is to describe the workings of the payroll system. From the research conducted, it can be said that with this payroll system, it can make it easier to calculate the distribution of profits between owners, investors, and employees. In addition, financial administration has also become clearer and well-organized. In addition, employees feel benefited by this system so that employee performance can increase and restaurant income can increase rapidly.Keywords: Restaurant Payroll Application, Payroll System, Profit Sharing.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI UNTUK PELAYANAN ADMINISTRASI WARGA KELURAHAN MALAKA SARI BERBASIS WEB Joko Susilo
Jurnal Informatika dan Bisnis Vol. 11 No. 2 (2022): Edisi Desember 2022
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

ABSTRACTThe Malaka Sari Village Office is a government agency that provides services to the community, such as making population documents. Every Monday to Friday, kelurahan employees provide services for making citizen documents, but this is still done manually, so the services provided are less than optimal and filing takes quite a long time.This study aims to make it easier for village employees to provide maximum service, as well as to make it easier for the community to submit documents personal identity. In conducting research, the authors use several supporting theories, namely Information Systems, Waterfall, PHP (HyperText Preprocessor), and others. In conducting research, the authors analyze the system that is currently running on Malaka Sari Village, and using data collection methods, namely conducting interviews, direct observation, literature study, and collecting documentation in the form of photos, videos and others, making it easier for writers to design information systems based on citizen data processing Website for the Malaka Sari Village.The design of the information system that is made, consists of system architecture design, Use Case Diagrams, Activity Diagrams, ERD (Entity Relationship Diagram), Class Diagrams, system design plans and menu structures, and using PHP (HyperText Preprocessor), and databases MySQL.The results of this study indicate that the design of a web-based citizen administrative service information system makes it easy for people who want to submit letters or documents that are self-identity in nature, and village employees in providing services to residents of the Malaka Sari Village, as well as helping maximize community services at the village office .Keywords: Information Systems Analysis and Design, PHP (HyperText Preprocessor), MySQL, Web-Based Information Systems, Administrative Services.
PERANCANGAN SISTEM INFORMASI SUMBER DAYA MANUSIA PADA PT. HANDAREN SUBUR SEJAHTERA Elis Sondang Dasawati
Jurnal Informatika dan Bisnis Vol. 11 No. 2 (2022): Edisi Desember 2022
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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ABSTRACTPT. Handaren Subur Sejahtera is a company that owns and uses many applications in carrying out operational activities. However, in practice, the company does not yet have a system for calculating extra working hours for overtime incentives and calculating absenteeism. This research will be conducted using the waterfall software development method, which is a system development method that has a sequential nature so that it makes this type of development model very easy to group, manage, and monitor at each stage. Data collection is done by direct observation, interviews with those who provide information in the company and literature studies from books and journals that are used as references on human resources. The design of this system will be done by designing the system architecture, use cases and activity diagrams to describe the program in detail. This research was also made using information and constraints that were obtained and collected from the company. The results of the design that has been made in the form of a web application.Keywords: Human Resource Information System, Waterfall Model
ANALISIS SENTIMEN TERHADAP PARA KANDIDAT PRESIDEN 2024 BERDASARKAN NETIZEN PENGGUNA TWITTER DENGAN METODE DATA MINING DAN TEXT MINING Budi Wasito
Jurnal Informatika dan Bisnis Vol. 11 No. 2 (2022): Edisi Desember 2022
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

AbstrakDalam era digital modern saat ini, internet telah menjadi bagian tak terpisahkan dari kehidupan manusia, dan salah satu fenomena yang muncul adalah jejaring sosial media. Twitter merupakan salah satu platform jejaring sosial yang paling populer di Indonesia dan digunakan oleh berbagai lapisan masyarakat, termasuk dalam mengutarakan opini terhadap calon kandidat presiden Indonesia pada pemilihan umum 2024. Oleh karena itu, dilakukan penelitian dengan tema Analisis Sentimen pengguna Twitter terhadap kandidat pencalonan presiden 2024 untuk mengetahui bagaimana opini publik tentang kandidat-kandidat tersebut dalam bentuk sentimen positif, negatif, atau netral, sehingga dapat diketahui calon kandidat yang memiliki image positif, negatif, dan netral di mata masyarakat pengguna Twitter. Data Mining merupakan sebuah proses untuk mencari informasi yang berguna dalam penyimpanan yang besar berdasarkan metodologi CRISP-DM (Cross Industry Standard Process For Data Mining). Text Mining sama halnya seperti Data Mining dalam hal tujuan dan menggunakan proses yang sama, namun pada text mining input prosesnya adalah kumpulan file data yang tidak terstruktur (dokumen Word, file PDF, cuplikan teks, file XML, dan sebagainya). Sumber data dalam penelitian ini adalah data tweet pada platform Twitter pada bulan Februari 2023. Data ini diambil langsung dengan cara Crawling Dataset melalui Application Programming Interface (API) pada website developer.twitter.com. Penelitian ini membandingkan hasil Analisis Sentimen menggunakan Machine learning berbasis aplikasi dekstop Orange Data Mining dan bahasa pemrogramman Python. Hasil sentimen positif, negatif dan netral nantinya dihitung masing-masing total keseluruhan pada masing-masing kandidat Presiden. Hasil seluruh proses data mining - text mining pada Orange Data Mining dan Python disajikan kedalam bentuk Graphic User Interface (GUI) sebagai tampilan dashboard. Hasil analisis sentimen terhadap Ganjar Pranowo, Prabowo Subianto dan Anies Baswedan berdasarkan Orange Data Mining menunjukkan skor positif, yakni masingmasing sebesar 61,80%, 33,60% dan 25,80%. Sedangkan, berdasarkan Python masing-masing sebesar 64,40%, 32,20% dan 28,34%. Baik skor menggunakan Orange Data Mining maupun Python secara konsisten menunjukkan nama kandidat Ganjar Pranowo memiliki skor tertinggiKata Kunci: Data Mining, Text Mining, Application Programming Interface (API), Twitter, Orange Data Mining, Python, Graphic User Interface (GUI), Crawling Dataset

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