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RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Published by Universitas Abdurrab
ISSN : 24772062     EISSN : 2502891X     DOI : https://doi.org/10.36341/rabit
Core Subject : Science, Engineering,
Computer Science & IT Engineering
This journal is called RABIT, where the name comes from two words namely, RAB which means Abdurrab University and IT which means information technology, it can be interpreted as a journal of this journal Journal of Informatics Engineering Study Program Pekanbaru Abdurrab University. This RABIT journal contains various sciences related to the world of computers especially information technology and information systems, namely, this journal is published twice a year where the initial publication is on January 10 while for the second issue which is on July 10.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 696 Documents
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PENERAPAN HOUGH TRANSFORM, CONNECTED COMPONENT LABELING DAN TEMPLATE MATCHING UNTUK PENGENALAN KARAKTER PLAT KENDARAAN Fredicia Fredicia; Gardyan Santoso
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4636

Abstract

Vehicle license plates are the identities of motor vehicles that are often used for record-keeping when using paid parking lots. Recording vehicle license plates requires the application of information technology so that parking service administration is more efficient and free from recording errors. Information technology offers the application of OCR (Optical Character Recognition) methods to help the process of recording characters found on vehicle license plates. OCR has many techniques that can help the character recognition process, starting from the initial image capture process to the recognition stage. The initial image stage after being captured is to perform the initial image processing process by converting the image, determining the vehicle license plate area in the vehicle image, performing character labeling and segmentation on the plate image, and performing character recognition. The approach to character recognition on vehicle license plates that will be used is Hough Transform for determining the vehicle license plate area, character labeling and segmentation with Connected Component Labeling, and Template Matching as a character recognition method. The vehicle license plate character recognition model was tested with a scenario of 25 images captured directly from the parking lot. The test results produced Hough Transform and Connected Component Labeling could determine the vehicle license plate area and perform character labeling and segmentation on the vehicle license plate. Whereas in the template matching stage, the character recognition accuracy on 25 vehicle license plates was 94%. Other findings in this study are that the lighting conditions of the image environment, the number of images that become the database, and the condition of the paint of motor vehicle license plates can improve accuracy.
ANALISA DAN DESAIN KONTEN INSTAGRAM YANG MENARIK DAN BERDAMPAK POSITIF PADA INTERAKSI PENGGUNA: ANALYZE AND DESIGN INTERESTING INSTAGRAM CONTENT AND HAVE A POSITIVE IMPACT ON USER INTERACTION Sri Mulyani; Purwatiningtyas Purwatiningtyas; Yunus Anis
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4687

Abstract

As one of the most popular social media platforms today, Instagram has more than one billion monthly active users. This is a great opportunity for users to interact with each other, share content, and build rapport. However, to achieve this, the right strategy is needed to create interesting content according to user interests. In line with the aim of this research, to obtain interesting content that has a positive impact on user interaction, researchers use the Design Thinking method which involves users and stakeholders in Instagram accounts. This research was conducted by including three content designs that provide the best insight from more than sixty Instagram content designs posted on accounts in the period 5 June to 6 September 2023 on the Graphic Multimedia Engineering Technology (TRMG) study account @trmg_unisbank which was used as an object. From the analysis and design of Instagram content, it managed to reach 20,275 followers with 80 accounts and 20,195 non-follower accounts. This means that attractive content design can have a positive impact on user engagement. This content is built by exploring the target audience, understanding user interests, using images and design, including interesting captions and relevant hashtags, and conveying useful information (education).
PERANCANGAN E-LEARNING BERBASIS WEB DI SMK SIDRATUL MUNTHAHA YAPIS WAMENA PAPUA DENGAN METODE BLACKBOX Syarifah Syarifah; Kurniadin Abd Latif
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4701

Abstract

In the era of technology which is developing rapidly in all fields, the learning process in the 3T Region, especially Sidratul Munthaha Yapis Wamena Papua Vocational School, still carries out a conventional learning process. This means that some students and teachers are not optimal in recognizing and implementing technology in the field of education. E-learning has developed and been applied in various schools. However, this convenience is not yet fully felt by students and teachers in Wamena Papua. The aim of this research is to design web-based e-learning and test the service level of the e-learning system using the black box method. The design method used is the waterfall method with stages of analysis, design, coding and testing. Testing was carried out using the black box method. The research results show that there are five interface displays for e-learning that have been designed, consisting of the homepage display, login page, classroom creation form, material posting form, and attendance display. Based on the results of black box testing, it proves that the e-learning system can be used according to the expected function. However, there are several notes on the design of this e-learning from media experts, including: the need to provide validation of assignment descriptions, automate assignment publication times, provide information on assignment collection pages, and automate assignment upload times.
PEMANFAATAN STFT DAN CNN DALAM PENGOLAHAN DATA SUARA UNTUK MENGKLASIFIKASIKAN SUARA BATUK Indri Nurfiani; Jumadi Jumadi; Muhammad Deden Firdaus
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4729

Abstract

This research aims to develop an automatic cough sound evaluation system to improve the accuracy of respiratory disease diagnosis. In this study, the Short-Time Fourier Transform (STFT) and Convolutional Neural Network (CNN) methods were used to classify cough sounds into dry and wet coughs. The Naïve Bayes model was then used to identify respiratory diseases based on the cough classification results. Testing was conducted using the available cough sound dataset, resulting in a cough classification accuracy of 82% and a respiratory disease identification accuracy using Naïve Bayes of 71.43%. The evaluation results indicate that the developed system can accurately classify cough types and identify diseases. This system has the potential to enhance the prevention and management of respiratory diseases in resource-limited areas and can be a significant tool in medical practice for faster and more accurate diagnoses. Furthermore, this research opens opportunities for further development in disease detection and diagnosis technology through sound analysis, providing wide-ranging benefits for society and the healthcare sector.
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK DENGAN PRE-TRAINED MODEL MOBILENETV2 UNTUK DETEKSI KOLESTEROL Indah Sri Lestari; Jumadi Jumadi; Nur Lukman
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4732

Abstract

One of the main risks for heart disease and stroke is cholesterol. Cholesterol is a type of fat produced primarily by the liver and absorbed in small amounts from food. The ideal cholesterol level in the human body should be less than 200 mg/dl. One way to check cholesterol levels is through a blood sugar test that requires the patient to fast for 10 to 12 hours. Given the dangers posed by high cholesterol levels, there is a need for an early, practical screening method to detect high cholesterol levels in the human body. Iridology is an analysis of the iris of the eye to detect health conditions and show the relationship between iris patterns and cholesterol levels. The iris has its own uniqueness because it can record the condition of all organs, body structures, and psychological states. Therefore, iridology can be an alternative medical analysis. This study proposes the use of a convolutional neural network algorithm using a pre-trained MobileNetV2 model. The iris image dataset used consists of 200 images classified into two classes: normal eye images and cholesterol eye images. The results of the study show that the proposed model can achieve an accuracy of 95%. These results indicate that this model has great potential as a practical and cost-effective tool for detecting cholesterol. Further research is needed with larger datasets to improve accuracy and validity.
ANALISIS DAN DESAIN SISTEM PENJUALAN KONSINYASI MENGGUNAKAN PENDEKATAN BERORIENTASI OBJEK LIGHTWEIGHT RATIONAL UNIFIED PROCESS: ANALYSIS AND DESIGN OF CONSIGNMENT SALES SYSTEM USING AN OBJECT ORIENTED LIGHTWEIGHT RATIONAL UNIFIED PROCESS APPROACH Mohammad Fajar; Richla Rahmatika; Afifah Afifah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4735

Abstract

The aim of this study is to apply Lightweight Rational Unified Process (RUP) approach in modeling consignment sales information systems. Data collection is performed through literature studies, interviews and evaluation of modeling results systems. The application of the Lightweight RUP method in this research is carried out by following each stage of the approach, starting from requirements stage, analysis stage, then design stage, and the implementation stage where the connection between one stage and another can be maintained through the artifacts produced. In the requirements stage, usecase is made based on the requirements table which contains system features based on literature studies related to sales information systems and through interviews of the potential users. Furthermore, the usecase is the basis for making a number of diagrams at the analysis stage, namely activity diagrams and sequence diagrams. At the design stage, platform selection needs to be done first, so that the class diagram that will be designed to adjust to the platform chosen. In addition, at the final stage of the design, the author adds the evaluation process to the completeness of the class diagram before translated them into program code. Evaluation at the final stage of the design shows that the created class diagram has fulfilled all aspects of completeness so that it is possible to be mapped to the final target platform selected, namely the Java programming language. While the evaluation of generated program code on the Java platform shows that the cashier will able to use the desktop application to make sales transactions. As for the Android platform-based application can be used by the consignor to see the information on the status of the sold items (cakes).
MONITORING ADMINSTRASI JARINGAN DENGAN MIKROTIK DAN TELEGRAM BOT PADA INTERNET SERVICE PROVIDER Taufik Rahman; Iqbaluz Zain Nibras; Sumarna Sumarna
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4736

Abstract

Manajemen jaringan menggunakan perangkat MikroTik di Lajur Net masih memiliki kekurangan. Walaupun akses internet tersedia sepanjang waktu, keterbatasan jumlah karyawan membuat pengelola sulit mengakses komputer untuk mengelola MikroTik. Administrator berharap bisa mengatur jaringan MikroTik secara remote melalui perangkat akhir. Saat ini, akses MikroTik secara daring memerlukan biaya operasional yang tinggi untuk menyewa IP publik dan layanan penyediaan aplikasi manajemen berbasis web. Penelitian ini bertujuan untuk memanfaatkan Telegram Bot dalam pengelolaan dan pemantauan jaringan yang dapat diakses dari jarak jauh melalui internet. Penggunaan Telegram Bot untuk pengelolaan jaringan di Lajur Net dapat diimplementasikan dengan sukses. Penerapan Telegram Bot mencakup pengelolaan interface, hotspot, ICMP, dan pemantauan sumber daya perangkat RouterBoard MikroTik di jaringan Lajur Net. Telegram Bot dapat diakses dari jarak jauh melalui jaringan internet dan berjalan dengan baik pada jaringan Lajur Net. Penerapan Telegram Bot meliputi administrasi interface, hotspot, ping, serta monitoring sumber daya perangkat RouterBoard MikroTik. Fitur tambahan berupa firewall memungkinkan administrator jaringan untuk menambah dan menghapus filter rules dalam sistem keamanan jaringan Lajur Net. Selain itu, Telegram Bot memanfaatkan fitur tombol pada pesan Telegram untuk mempermudah penggunaan tanpa harus mengetikkan semua perintah. Dengan demikian, Telegram Bot menawarkan solusi yang efisien dan efektif dalam manajemen jaringan MikroTik di Lajur Net, mengurangi kebutuhan akan IP publik dan aplikasi manajemen berbasis web yang mahal. Hal ini membuktikan bahwa penggunaan teknologi chatbot dapat memberikan manfaat signifikan dalam bidang administrasi jaringan, khususnya bagi penyedia layanan internet dengan sumber daya terbatas. Melalui penelitian ini, diharapkan implementasi Telegram Bot dapat dijadikan acuan untuk pengembangan manajemen jaringan yang lebih inovatif dan efisien di masa mendatang.
EVALUASI APLIKASI MOBILE DESAIN MENGGUNAKAN METODE NIELSEN’S ATTRIBUTES OF USABILITY: EVALUATION OF MOBILE APPLICATION DESIGN USING NIELSEN'S ATTRIBUTES OF USABILITY METHOD Khadijah Hulliya; Aliza Fatha Amanda
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4769

Abstract

To achieve good software standards, software quality testing is required, including usability. One of the factors that determine software quality is ease of use. In this study, the authors conducted research on the Canva application. This application has been downloaded 100 million times by users on Google Playstore. In this study, the authors used the usability testing method. The data used in this study were obtained through questionnaires and literature studies. The purpose of this research is to find out the results of the usability evaluation of the Canva application. Data was obtained through literature research and Nielsen's questionnaire on usability features. The use of Nielsen's Usability Attributes questionnaire method, which has five indicators: Learnability (easy to learn), Efficiency (efficient), Memorability (easy to remember), Errors (failure), and Satisfaction (satisfaction), the purpose of this study is to determine the results of usability evaluation on the Canva application. Testing with the NAU method gives an average result of 4.02 (Agree) from a rating scale of 5 (Strongly Agree). That is, users agree that the function runs well.
PENERAPAN FUZZY ASSOCIATIVE MEMORY UNTUK MENGUKUR TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN PADA TOKO KOPIMA: APPLICATION OF FUZZY ASSOCIATIVE MEMORY TO MEASURE THE LEVEL OF CUSTOMER SATISFACTION REGARDING SERVICE AT THE KOPIMA STORE Nur Wakhidah; Ira Nurul Febriani
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4773

Abstract

One of the advantages of information technology in the field of business is that it can help in measuring the level of customer satisfaction. Because measuring customer satisfaction is an important element in providing better, more efficient and more effective services. KOPIMA stores, which is a student cooperative, is experiencing unstable sales problems, this is the result of customer dissatisfaction. There is a system used to measure the level of customer satisfaction with services at KOPIMA stores to find out what are the expectations of customer complaints and how to evaluate service at KOPIMA stores. To measure the level of customer satisfaction with services at KOPIMA stores, the Fuzzy Associative Memory (FAM) method is used. FAM is a flexible decision-making method, which is a fuzzy system that maps fuzzy sets to other fuzzy sets. The output obtained is a web-based system, with the results of the FAM method that can be implemented to calculate customer satisfaction into the rating category, namely 8% satisfied and 92% very satisfied in the November 2022 assessment and December 2022 assessment, namely 4% satisfied and 96% very satisfied . So it can be concluded, customer satisfaction has increased with the assessment criteria being very satisfied with the service at the KOPIMA store.
ANALISIS FAKTOR YANG MEMPENGARUHI PEMILIHAN GUBERNUR DAERAH KHUSUS JAKARTA MENGGUNAKAN ALGORITMA NAIVE BAYES DAN REGRESI LOGISTIK Yoga Nanda Khoiril Umat; Dhiaz Rusyda Nafsyi; Diana Kusumaningsih; Lukman Hakim
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4778

Abstract

The election of the Governor and Deputy Governor of the Special Region of Jakarta (DKJ) in 2024 involves the community in determining leaders for the 2024-2029 period. This research analyzes the factors influencing voter decisions using the Naive Bayes algorithm and Logistic Regression. Survey data was collected via a Google Form questionnaire from Jakarta residents aged 17-71. The analysis process involves several stages: problem identification, literature study, data collection, preprocessing, and dividing the data into training and test data. The Naive Bayes algorithm is used to predict classification parameters based on a candidate's education, popularity, and track record, while Logistic Regression predicts factors that influence voter decisions. Naive Bayes shows high accuracy with advantages in speed and processing large data, while Logistic Regression shows strength in binary and multinomial classification analysis. The research results show that the track record factor significantly influences voter decisions. Naive Bayes prediction accuracy reached 85.00% and Logistic Regression 80.00%. The analysis results also reveal that the candidate's popularity and education factors rationally influence voter decisions, although not as strong as the track record. In addition, using these two algorithms provides a comprehensive understanding of voter behavior in Jakarta. Based on these results, governor and deputy governor candidates should also focus on improving their track record and popularity to increase their chances of being elected.

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