cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ely Nuryani
Contact Email
elynuryani@unbaja.ac.id
Phone
+6282114420019
Journal Mail Official
simika@unbaja.ac.id
Editorial Address
https://ejournal.lppm-unbaja.ac.id/index.php/jsii/editorials
Location
Kota serang,
Banten
INDONESIA
Jurnal Sistem Informasi dan Informatika (SIMIKA)
Published by Universitas Banten Jaya
ISSN : 26226901     EISSN : 26226375     DOI : 10.47080
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Sistem Informasi dan Informatika aims to provide scientific literature specifically on studies of applied research in information systems (IS), information technology (IT) and public review of the development of theory, method, and applied sciences related to the subject.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 181 Documents
 7   8   9   10   11 
PENGEMBANGAN SISTEM PENGAJUAN UTTP DENGAN MENGGUNAKAN PROGRAM BOOTSTRAP (PHP) DALAM RANGKA PENINGKATAN DAYA SAING DAN INOVASI PADA PT KALIBRASI INDONESIA MANDIRI Teuku Fadjar Shadek; Shodik Nuryadhin; Ainin Najmi
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2361

Abstract

PT Kalibrasi Indonesia Mandiri is one unit of the legal metrology agency in Serang Regency that functions are to control, manage and determine the types of measuring instruments, scales and equipment (UTTP) by setting mass standards, volume standards and length standards. PT Kalibrasi Indonesia Mandiri is under department of Industry, Trade, Cooperatives and SMEs in Banten province, as one of the Technical Implementation Unit (UPT). In accepting UTTP (Measuring, Measure, Weighing, and Equipment) submissions from institutions or companies is still manual and there is no system. For this reasons, the author was designed a system to facilitate the processing of UTTP submissions received at the Technical Implementation Unit in a systemized (online) manner. The solution is using a web-based application. For this reason the author choose the title "Web-based UTTP Submission Information System at PT. Kalibrasi Indonesia Mandiri Serang”. In designing this system the tools used are UML (Unified modeling language) including Flowmaps, Use Case Diagrams, Class Diagrams, Activity Diagrams, Sequence Diagrams, File Structures, Input Output Design. The result of this study is the design of an UTTP submission information system that is used to facilitate work units in maintaining consistency and their level of performance in receiving and preparing test results reports
ANALISIS DAN PENGEMBANGAN APLIKASI MOBILE DIET ARTIFICIAL INTELLIGENCE DENGAN PENDEKATAN CHALLENGE BASED Dayton Dayton; Syaeful Anas Aklani
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2365

Abstract

College life is a period where most students are required to live independently and begin to plan for their diet. Unfortunately, they commonly adopt poor dietary habits due to a lack of nutritional literacy. The lack of knowledge about healthy diets may potentially affect their health. This study aims to develop a meal planner iOS application that integrates daily calorie information and includes a machine learning-based meal recommendation feature. The application was built using Swift programming language along with Challenge Based Learning (CBL) framework. The application then was used to analyze the effectiveness usage of the meal planner mobile application using Technology Acceptance Model (TAM). The study was conducted by distributing an online questionnaire to 360 university students in Batam City. Hypothesis testing was carried out through linear regression using SPSS 25 software. The results showed a positive impact of Perceived Ease of use toward Perceived Usefulness in using the meal planner application. Additionally, both Perceived Usefulness and Perceived Ease of use also positively impact the Attitude Towards Using the meal planner application. The results of this study should be beneficial to the future developments of meal planner applications so that they can improve the nutritional literacy of students on living a healthy lifestyle and adopt new technologies for future research.
FORECASTING CATEGORY IN PUBLIC SCHOOL STAFF STUDENTS AND SPENDING IN 2018 WITH COMPARISON METHOD Cholifatur Rozzika; Amrina Rosyada; Wanda Alifiyah Pramesti; Dwi Rolliawati
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2409

Abstract

Education is one of the efforts to develop capabilities and shape the character and civilization of a dignified nation. Increasingly expensive education costs require parents to prepare more maturely. Therefore, the purpose of this study is to show forecasting of rill costs per student in 2018 using the Timeseries Public School Staff, Students, and Spending 1970-2017 data. In this study, the ARIMA and the SVM model are used to forecast rill costs per student in 2018. ARIMA is one of the simplest models and the most widely used method. This model will be compared using machine learning, namely SVM. From the experimental results that compare the performance of SVM and ARIMA. In the calculation above, the MAPE results from the Arima and SVM models are 0.142 and 0.0029. Whereas for RMSE the results of the ARIMA calculations obtained results of 36.625, while for SVM the RMSE results obtained were 7.470. The results of the study concluded that the SVM model has a better performance in predicting crude oil prices compared to the ARIMA method.
KOMPARASI SUPPORT VECTOR MACHINE (SVM) DAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA PERAMALAN HUJAN DI DAERAH ALBURY, AUSTRALIA Nur Huda Riyantoni; Moh. Faqih Bahreisy; Irfan Hakim; Dwi Rolliawati
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2412

Abstract

Rain is one of the 4 weather conditions on earth. The rain itself is sometimes erratic. For some people, rain is sometimes seen as an obstacle in carrying out their daily activities. Therefore, predictions about rain are needed. Predictions about rain really help people in carrying out their daily activities. The research aims to compare the predictive performance of SVM and ARIMA in forecasting rain. The data used in this case study research is data regarding daily weather for 10 years in the Albury area, Australia from 2008-2017 with a lot of 3040 data. The results obtained from SVM for forecasting rain using daily weather data for 10 years in the Albury area, Australia with the best accuracy rate with the SVM model is 97.532% with an error rate of 2.468%, while in the ARIMA model, the results are MAE 0.181, RMSE 0.254 and MAPE 0.159. So it can be concluded that the ARIMA model has a better performance in predicting rain than the SVM method.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN PERPUSTAKAAN MENGGUNAKAN QR CODE BERBASIS WEBSITE Nur Hidayanti; Ely Nuryani; Raden Kania; Fergie Yudha Wijaya
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2417

Abstract

The school library is one of the educational facilities supporting learning activities and has an important role in supporting the achievement of educational goals. At SMPN 1 Mandalawangi, the library plays a role in assisting students and teachers in obtaining subject matter references to support teaching and learning activities. In the library, activities such as visitor registration, book recording, book borrowing, returning transactions, and making reports at the library are still done manually, so it requires more time and effort, and mistakes often occur in finding the required data. The author designed a library management information system using a web-based QR Code to solve this problem so that activities can be carried out more quickly and easily. The Waterfall development method is used to build this web-based information system. The stages that are passed in this method are the Requirement, Design, Coding & Testing, Integration & Testing, and Operation and Maintenance stages. The information system is built using the JavaScript programming language, the ReactJS library, Cloud Firestore as the database, and UML as the system model. The final result of this design is to produce a library management information system using a web-based QR Code for the SMPN 1 Mandalawangi Library. It can be interpreted that the system that has been designed can facilitate library staff in the service process, data management, and making reports at the SMPN 1 Mandalawangi library.
PERANCANGAN SISTEM INFORMASI PENYEWAAN STUDIO MUSIK PADA WAYZON STUDIO MUSIK Widyawati Widyawati; Ramdani Budiman; Andika Bayu Saputra; Anna Rosdiana
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2428

Abstract

Wayzon Studio Musik is one of the studios at seramg banten that provides two types of rentals, namely studio rentals and musical instrument rentals such as guitars, pianos, drums, basses, other musical instruments and sound systems. The studio rental system currently takes place by means of consumers registering directly on the spot and the recording process is carried out on a notebook and then continued with scheduling on the blackboard. the current system allows errors in the recording process, data loss, scheduling conflicts that often occur, the difficulty of finding information on music equipment rental services, the difficulty of managing transaction data and reports. based on the exposure to the current system, a studio rental system is needed that makes it easier to carry out the recording process, data search process, musical instrument rental, studio booking process and the process of finding information on music equipment rental services. This music studio rental system is designed using a codeigniter framework, bootstrap and a database management system (DBMS) using MYSQL. In this web development, the method used is the waterfall and Unified Modeling Language (UML). This system makes it easier and faster for administrative officers to provide scheduling information on studio and musical instrument rental services, minimizes errors in the process of processing transaction data and making reports and makes it easier for customers to find information on music equipment rental services. This system will display a monthly studio or musical instrument rental schedule (dashboard) and the report system will display transaction data that can be printed easily.
A BLACK BOX TESTING DENGAN TEKNIK EQUIVALENCE PARTITIONS PADA WEBSITE DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KARAWANG Taufik Maulana; Apriade Voutama
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 2 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i2.2536

Abstract

Website testing is the verification phase whether the website is working properly or not. If there are still errors, they must be corrected so that the website created reaches its goals and is of good quality. The website of the Department of Population Control and Family Planning (DPPKB) of Karawang Regency is being tested. With the name of the website, namely kbinten.id, this website is the official website of the Karawang Regency DPPKB which is used as a place for information about family planning programs in Karawang Regency, which is web-based for the community and consists of two parts, namely the website as an administrative panel and based on the website used by the username. Testing is conducted on a black box utilizing the Equivalence Partitions method. Black box testing allows for an external assessment of the program's functionality without knowledge of the underlying code. The Equivalence Partitions technique is employed to validate data inputted into various forms or pages on the kbinten.id website. Each input value is systematically examined and categorized into test cases yielding either valid or invalid outcomes. The objective of testing on kbinten.id is to identify and rectify implementation errors promptly, thereby expediting the error correction process.
PENERAPAN METODE TOPSIS DALAM EVALUASI KINERJA PADA PT. BPR PANDANARAN JAYA Karlena Indriani; Anastasia Siwi Fatma Utami; Ali Haidir; Ahmad Sinnun; Yopi Handrianto; Ade Christian; Hariyanto Hariyanto
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 2 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i2.2626

Abstract

This study was done at PT BPR Pandanaran Jaya so that the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method could be used to improve how employee work is judged. Employee performance is an important part of a company's growth, and employee performance evaluations are done to find high-performing workers and help them improve. In this study, it was found that PT BPR Pandanaran Jaya has hardworking workers who are very committed to doing their jobs well. But there are also workers who need to work on how well they do their jobs. The TOPSIS method is used to compare how well each employee does their job based on important factors. The data showed that Linda Luciana Anggraeni and Dwi Jasminto were the employees with the best performance ratings, followed by Rudi Purnama. Mita Safira Mediana, Mia Arifah, Gea Ananda, Indra Utama, and Yunia Ningrum, on the other hand, were given lower scores for their work. Overall, PT BPR Pandanaran Jaya has high-performing workers, but some of them could do better. So, the company can use the results of this review to come up with plans to help employees grow, give them more training, and give them the help they need to improve their total performance. With these steps, PT BPR Pandanaran Jaya should be able to reach its organizational goals and keep a skilled and productive work team.
ANALISIS PENGARUH DIMENSI GAMBAR PADA KLASIFIKASI MOTIF BATIK DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Syefudin Syefudin; Muchamad Nauval Azmi; Gunawan Gunawan
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 2 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i2.2675

Abstract

This study focuses on the classification of batik patterns using image data, specifically with three classes: kawung, parang, and pekalongan batik patterns. A total of 180 images were used for the research, divided equally among the three motifs. The dataset was collected through observations from Google. Data preprocessing involved two stages. In the first stage, the data was split into training and validation sets, with a 70% - 30% ratio, respectively. This separation allowed for evaluating the model's performance and generalization ability on unseen data. In the second stage, the Image Data Generator library was utilized to enhance data diversity and improve the model's ability to generalize patterns. Data augmentation techniques, such as rotation, shear, zoom, horizontal flip, and shift, were applied to the training data. The augmented data was then fed into a pre-defined Convolutional Neural Network (CNN) architecture. The CNN model processed the input data through convolutional layers with max pooling and ReLU activation functions. The outputs from the first convolutional layer were used as inputs for subsequent convolutional layers. The resulting feature maps were flattened and passed through fully connected layers for classification. The model's performance was assessed by evaluating accuracy measures. The CNN model achieved the highest accuracy of 98% on the training data and 100% on the validation data after 7 epochs.. The implementation was done using Python programming language and the Google Colab platform, along with required libraries. Model evaluation involved assessing the trained model's performance by inputting test data and computing evaluation metrics, including accuracy, precision, recall, and F1-score. Confusion matrix analysis provided insights into true positive, true negative, false positive, and false negative predictions. The classification report summarized the performance metrics of the model. In conclusion, the CNN method proved effective in classifying batik patterns. The size of the input images significantly influenced the accuracy of the model. A 148x148 pixel image size yielded 100% accuracy. As a suggestion, future research should consider using a larger dataset to maximize the accuracy of the classification model.
APLIKASI KONSULTASI DOKTER-PASIEN SECARA ONLINE BERBASIS ANDROID MENGGUNAKAN REACT NATIVE Mochamad Wisuda Sardjono; Nicolas Sanjaya
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 2 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i2.2689

Abstract

The use of communication technology has penetrated into every field, including those related to medical consulting services. Smartphone devices not only function as a verbal communication tool, but can be used for online communication. With the development of computer programming languages, smartphone devices can be used more widely to serve consultations about health. Javascript is a programming language that is widely used in developing mobile applications. The React Native framework is used to design mobile applications so that they are easy to use via smartphone devices without going through a web application. In this study UML is used as an application design method and firebase as a data storage medium. The trials were carried out using BlackBox Testing on 4 smartphone devices based on the Android operating system with different specifications. In addition, trials were also carried out on every function in the Doctor-Patient Consultation application involving 25 respondents by providing an assessment. The test results show that the use of the React Native framework maximizes the design of Android-based mobile applications. Of the 4 smartphone devices, all functions in the application went well, apart from that, 25 respondents who gave an assessment of more than 65% stated that they agreed and strongly agreed with each statement regarding the application.

Page 9 of 19 | Total Record : 181

 7   8   9   10   11 

Filter by Year

2018 2026


Reset
Filter By Issues
All Issue Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 2 (2025): Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika) Vol. 7 No. 2 (2024): Jurnal Sistem Informasi dan Informatika (Simika) Vol 7 No 1 (2024): Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 2 (2023): Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika) Vol 5 No 2 (2022): Jurnal Sistem Informasi dan Informatika (Simika) Vol 5 No 1 (2022): Jurnal Sistem Informasi dan Informatika (Simika) Vol 4 No 2 (2021): Jurnal Sistem Informasi dan Informatika (Simika) Vol 4 No 1 (2021): Jurnal Sistem Informasi dan Informatika (Simika) Vol 3 No 2 (2020): Jurnal Sistem Informasi dan Informatika (Simika) Vol 3 No 1 (2020): Jurnal Sistem Informasi dan Informatika (SIMIKA) Vol 2 No 2 (2019): Jurnal Sistem Informasi dan Informatika (SIMIKA) Vol 2 No 1 (2019): Jurnal Sistem Informasi dan Informatika (SIMIKA) Vol 1 No 01 (2018): Jurnal Sistem Informasi dan Informatika (SIMIKA) More Issue