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Bulletin of Information Technology (BIT)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27220524     DOI : 10.47065/bit.v2i3.106
Core Subject : Science,
Computer Science & IT
Jurnal Bulletin of Information Technology (BIT) memuat tentang artikel hasil penelitian dan kajian konseptual bidang teknik informatika, ilmu komputer dan sistem informasi. Topik utama yang diterbitkan mencakup:berisi kajian ilmiah informatika tentang : Sistem Pendukung Keputusan Sistem Pakar Sistem Informasi, Kriptografi Pemodelan dan Simulasi Jaringan Komputer Komputasi Pengolahan Citra Dan lain-lain (topik lainnya yang berhubungan dengan teknologi informasi)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 256 Documents
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Perancangan Aplikasi Pengelolaan Keuangan Menggunakan Metode Progressive Web Apps (Studi Kasus : SDIT Zahra Asy Syifa Patumbak Deli Serdang) Anton Prayitno; Eko Hariyanto; Suheri
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.452

Abstract

Sekolah merupakan sebuah institusi pendidikan yang menjadi wadah dan berlangsungya proses pendidikan. Sekolah Islam Terpadu memiliki karakteristik yang kuat dalam landasan filosofis, pembentukan karakter peserta didik, interaksi pendidikan, menumbuhkan kemaslahatan dan meniadakan kemaksiatan. Manajemen pengelolaan keuangan baik di sekolah menjadi perhatian yang serius agar proses pendidikan dapat berjalan sesuai dengan tujuannya. SDIT Zahra Asy Syifa Patumbak merupakan salah satu sekolah dasar yang berlandaskan Islam yang masih memiliki kelemahan dalam pengelolaan keuangan dikarenakan pencatatan transaksi keuangan khususnya tagihan pembayaran dari siswa belum tersistem dengan baik secara komputerisasi. Dibutuhkan peran teknologi komputer berupa aplikasi yang tersistem untuk pengelolaan keuangan ini yang dapat dibangun menggunakan metode Progressive Web Apps (PWA). PWA merupakan metode pengembangan perangkat lunak yang memungkinkan pengguna merasakan pengalaman menggunakan aplikasi mobile melalui browser. Perancangan aplikasi ini menggunakan Unified Modelling Language (UML) dengan diagram use case, activity, sequence, dan class. Hasil perancangan aplikasi pengelolaan keuangan di SDIT Zahra Asy Syifa Patumbak dapat membantu dan mempermudah kerja pegawai administrasi keuangan dalam mengolah data keuangan, membuat laporan keuangan menjadi lebih rapi dan terstruktur, serta mudah melakukan monitoring tunggakan.
Prediksi Penyakit Jantung Dengan Algoritma Regresi Linier Agung Wijayadhi; Muhammad Makmun Effendi; Sugeng Budi Rahardjo
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.463

Abstract

In this study, we evaluated the ability of a linear regression algorithm to predict heart disease risk in individuals. We use data from trusted sources and perform the necessary preprocessing to clean and provide the data for the model. The results of the analysis show that the linear regression algorithm can be used well to predict the risk of heart disease in individuals with a fairly high degree of accuracy. We also evaluated several factors that influence heart disease risk and demonstrated that they could be identified and integrated into our model to improve its performance. In addition, we also evaluated the validation methods used to evaluate our models and demonstrated that they can be used to objectively determine model performance. The results from this study provide a solid foundation for developing a better heart disease prediction system in the future. And the results of this study are quite accurate enough to give good results with a Root Mean Squared Error: 0.379 +/- 0.000 and Squared Error: 0.144 +/- 0.229
Aplikasi TOEFL Institusional Berbasis Web (Studi Kasus: UPT Pusat Bahasa Universitas Teknologi Sumbawa) Rizka Irjiba; Shinta Esabella; Yana Karisma
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.466

Abstract

This study aims to design and build an Institutional TOEFL Application to make it easier for UPT Language Center UTS to correct test takers' answers. The Institutional TOEFL implementation method that is still running at the UPT UTS Language Center is still carried out non-digitally using a paper test. The participants answer the questions, and then the UPT Language Center UTS corrects the answers, then counts the number of correct questions, and calculates the total score the test takers get. With the Institutional TOEFL Application, it is hoped that it will be able to improve the quality of performance and provide convenience for UPT Language Center UTS in processing test participant data to be more effective and efficient. The web-based application is built using the help of the PHP programming language and MySQL database using the waterfall method framework. System planning uses a structured method by defining context diagrams, DFD and ERD, and is tested using the beta testing method. Based on the test results, out of 8 questions with 20 respondents where the answer "Yes" was 87.5% and the answer "Enough" was 12.5%, the Institutional TOEFL Application is in accordance with user needs, and is suitable for use at UPT Language Center UTS. The results of this study are the web-based UPT Institutional TOEFL Application UTS Language Center which can be accessed by the public so that it can contribute to the convenience of test takers in carrying out the Institutional TOEFL
Analisa Penjualan Produk Kosmetik Dengan Metode Algoritma K-Means Di Toko Erremy Ismasari Nawangsih
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.468

Abstract

Applying data mining to analyze sales patterns of goods using the k-means algorithm method at the Erremy Shop. Availability of goods, stock of goods and completeness of goods in a shop is a very important element. So that the management process to regulate the availability of inventory is needed to avoid the accumulation of the same goods and is less desirable to customers. This research aims to determine buyer interest in a product so that we can ensure the supply and availability of products that are selling well or not selling well. The benefit of this research is to prevent product stockouts and accumulation of unsold products. The method used in product grouping uses the K-Means Clustering method so that the best-selling and less-selling products can be identified. Product data is grouped based on the similarity of the data so that data with the same value will be in one cluster. With the existence of product stock clusters with each level of stock movement owned, this allows it to be used as a reference in predicting the supply of products according to their needs. The tests carried out in this study were using black box testing.
Analisa Data Mining Untuk Prediksi Penyakit Ginjal Kronik Dengan Algoritma Regresi Linier Angga Kurniadi Hermawan; Agung Nugroho; Edora
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.475

Abstract

In this study, we evaluate the ability of data mining to predict chronic kidney disease using a linear regression algorithm. We extract features from patient clinical data and apply a linear regression algorithm to build a predictive model. The results showed that our linear regression model was able to predict with high accuracy and could be used as an aid in diagnosing chronic kidney disease. In addition, we also analyze the factors that influence the risk of developing chronic kidney disease and suggest preventive measures that can be taken to reduce the risk of developing the disease. The results of this study can be used by doctors to improve efficiency in diagnosing and preventing chronic kidney disease. In addition, these results can also be used as a basis for further research in the field of data mining and chronic kidney disease. The process of testing the data in this study using a linear regression algorithm is able to provide good results with a Root Mean Squared Error: 0.285 +/- 0.000 and Squared Error: 0.081 +/- 0.234.
Implementasi Algoritma Metode Naive Bayes dan Support Vector Machine Tentang Pembobolan dan Kebocoran Data di Twitter Ahmad Zy; Wahyu Hadikristanto
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.493

Abstract

Abstrak− Data breaches dan data leakage merupakan masalah yang semakin meningkat dalam dunia teknologi saat ini. Ada banyak diskusi yang terjadi di media sosial, terutama di Twitter, mengenai masalah ini. Dalam paper ini, kami menggunakan analisis sentimen untuk mengevaluasi persepsi publik terhadap masalah keamanan data dan kebocoran data di Twitter. Kami menggunakan algoritma Support Vector Machine (SVM) dan Naïve Bayes untuk melakukan klasifikasi sentimen pada teks yang diambil dari Twitter. Hasil dari penelitian ini akan memberikan gambaran yang lebih baik mengenai persepsi publik terhadap masalah keamanan data dan kebocoran data dan dapat digunakan oleh pihak yang berkepentingan untuk meningkatkan keamanan data Selanjutnya, paper ini akan mendeskripsikan metodologi yang digunakan dalam pengumpulan data dari Twitter, proses pre-processing data, dan implementasi algoritma SVM serta Naïve Bayes untuk melakukan klasifikasi sentimen. Kemudian, hasil dari analisis sentimen akan dianalisis dan dibahas secara mendalam, serta dibandingkan dengan hasil analisis sentimen yang dilakukan dengan metode lain. Pada paper ini didapatkan hasil perhitungan algorithma NaïveBayes dengan precision 97%, dan perhitungan dari algorithma SVM didapatkan hasil Precision sebesar 80%.Selain itu, paper ini juga akan mencakup kesimpulan dan saran untuk penelitian selanjutnya dalam bidang yang sama. Kata Kunci: Data breaches, Data leakage, Teknologi, Media Sosial, Twitter, Analisis sentimen
Rancang Bangun Aplikasi Arsip Surat Menyurat Elektronik Dengan Model Agile Pada Kantor Desa Setia Karya Mandailing Natal Febrianda Lubis; Eko Hariyanto; Rio Septian Hardinata
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.496

Abstract

One of the most influential sources of information is administration. Recording or storage of administrative files is commonly called archives. Recording or storage of administrative files is commonly called archives. The condition that is being carried out at the Setia Karya Village Office in terms of managing correspondence archives is still using a manual method. The data collection of incoming and outgoing mail is recorded in a book as a record of its data collection and archives are stored in filing cabinets. The data collection of incoming and outgoing letters also has separate books for incoming and outgoing letters and is stored in a storage cupboard. The application design in this study that the authors use is the Agile model, which is an approach to analyzing and designing systems that are developed through the use of more specific cycles for the activities carried out. The diagrams used are Data Flow Diagrams (DFD), flowcharts, and Entity Relationship Diagrams (ERD). The results of the design and testing that has been carried out by the author on this system indicate that the functions contained in the application are running well and in accordance with the needs and design, can manage incoming and outgoing letters such as the process of managing letters in the Setia Karya Village Office, and can provide convenience to the Admin in processing and processing archived correspondence
Prediksi Penyakit Kanker Paru-Paru Dengan Algoritma Regresi Linier Muhammad Abdul Rahman Wahid; Agung Nugroho; Abdul Halim Anshor
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.501

Abstract

Lung cancer is one of the deadliest types of cancer worldwide. Therefore, efforts to predict the likelihood of developing lung cancer are very important in its prevention and treatment. One way to predict the likelihood of getting lung cancer is to use a linear regression algorithm. This study aims to develop a predictive model that can identify a person's likelihood of developing lung cancer based on certain factors, such as age, passive smoker and level or severity. The data used in this study were collected from 100 patients diagnosed with lung cancer and their severity. The results of the analysis show that the linear regression algorithm can be used to predict the probability of getting lung cancer with an accuracy of about 90% and is able to give good results with a Root Mean Squared Error: 0.686 +/- 0.000 and Squared Error: 0.471 +/- 0.546
Analisa Prediksi Hasil Produksi Popok Bayi Metode Naïve Bayes Edy Widodo; Sifa Fauziah; Asep Arwan Sulaeman
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.504

Abstract

PT. Elleair Interantional Manufacturing Indonesia is a company engaged in the field of manufacturing baby diapers. With the increasing market demand causing an increase in the production process, what is often experienced is that there is often a lack of finish good product to meet consumer de mand due to delays in the production process. To make it easier for companies to look for factors that can increase production result, the authors coduct research with data mining using the naïve bayes method. In this study the training data and testing data were tested using the RapidMiner application with the naïve bayes algorithm where the tested data were 500 data. Testing is done by calculating the value of precision, recall, AUC dan accuracy using the RapidMiner Application and using Microsoft Excel and calculating the final probability of each class to calculate predictions of product result. With the naïve bayes method we can calculate predictions of production result based on data from the previus year as training data to anticipate shortages in production due to factors that can hider the production process. From the results of the analysis obtained factors that affect production result, namely, the number of materia used for the production of 318 data. The human error factor with the category of “No” as much as 305 data also influences because the less the occurrence of human error the production results are also high. Stop delivery factor with the category “No” as many as 299 data, with fewer cases of stop delivery, the more finish good product that can be sold
Model Aplikasi Human Resource Management Sistem (HRIS) Dengan Framework UniGui Sufajar Butsianto; Candra Naya
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.507

Abstract

This research aims to build a Human Resource Information System of PT. XYZ will manage existing human resources, starting from the process of managing employee data, employee attendance, employee leave, employee permits, employee overtime and employee training history. This research uses a qualitative approach with an exploratory case study methodology by focusing research on the design of the Human Resources Information System (HRIS). The system development method used is waterfall. The analysis and design tools used are Unified Modelling Language (UML) using Usecase Diagrams and Class Diagrams. The programming language used is Delphi with the unuGUI framework and databases using SQL Server. This research successfully designed and built a Human Resource System (HRIS) Application and has been tested using Blackbox testing. The benefits of this application can make it easier for companies to manage employee data data, employee attendance, employee leave, employee permits, employee overtime and employee training history, and make it easier for companies to adapt to remote working and Work From Anyware (WFA) culture

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