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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 179 Documents
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ANALISA DAN DESAIN KONTEN INSTAGRAM YANG MENARIK DAN BERDAMPAK POSITIF PADA INTERAKSI PENGGUNA Mulyani, Sri; Purwatiningtyas, Purwatiningtyas; Anis, Yunus
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; Abd Latif, Kurniadin
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 Nurfiani, Indri; Jumadi, Jumadi; Deden Firdaus, Muhammad
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 Lestari, Indah Sri; Jumadi, Jumadi; Lukman, Nur
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

Salah satu risiko utama penyakit jantung dan stroke adalah kolesterol. Kolesterol adalah sejenis lemak yang diproduksi terutama oleh hati dan diserap dalam jumlah kecil dari makanan. Kadar kolesterol ideal dalam tubuh manusia sebaiknya kurang dari 200 mg/dl. Salah satu cara untuk memeriksa kadar kolesterol adalah dengan tes gula darah yang mengharuskan pasien berpuasa selama 10 hingga 12 jam. Mengingat bahaya yang ditimbulkan oleh kadar kolesterol tinggi, maka perlu adanya metode skrining dini yang praktis untuk mendeteksi kadar kolesterol tinggi dalam tubuh manusia. Iridologi adalah analisis iris mata untuk mendeteksi kondisi kesehatan dan menunjukkan hubungan pola iris mata dengan kadar kolesterol. Iris mata mempunyai keistimewaan tersendiri karena mampu mencatat keadaan seluruh organ, struktur tubuh, dan keadaan psikologis. Oleh karena itu, iridologi dapat menjadi alternatif analisis medis. Penelitian ini mengusulkan penggunaan algoritma jaringan saraf konvolusional menggunakan model MobileNetV2 yang telah dilatih sebelumnya. Dataset citra iris mata yang digunakan terdiri dari 200 citra yang diklasifikasikan menjadi dua kelas yaitu citra mata normal dan mata kolesterol. Hasil penelitian menunjukkan bahwa model yang diusulkan mampu mencapai akurasi F1 score sebesar 89,6%. Hasil ini menunjukkan bahwa model ini memiliki potensi besar sebagai alat yang praktis dan hemat biaya untuk mendeteksi kolesterol. Diperlukan penelitian lebih lanjut dengan kumpulan data yang lebih besar untuk meningkatkan akurasi dan validitas
ANALISIS DAN DESAIN SISTEM PENJUALAN KONSINYASI MENGGUNAKAN PENDEKATAN BERORIENTASI OBJEK LIGHTWEIGHT RATIONAL UNIFIED PROCESS Fajar, Mohammad; Rahmatika, Richla; 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 Rahman, Taufik; Nibras, Iqbaluz Zain; 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 Hulliya, Khadijah; Amanda, Aliza Fatha
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 Wakhidah, Nur; Febriani, Ira Nurul
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 Khoiril Umat, Yoga Nanda; Rusyda Nafsyi, Dhiaz; Kusumaningsih, Diana; Hakim, 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.v9i2.4778

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.
PREDIKSI JUMLAH KEDATANGAN WISATAWAN MANCANEGARA DI INDONESIA BERDASARKAN PINTU MASUK KEDATANGAN UDARA Prayuda, Arya; Pratama, Irfan
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.v9i2.4787

Abstract

Indonesia has diversity and natural wealth that attracts tourism in Indonesia. Tourism is one of the industries that provides the highest foreign exchange for the country because it has a positive impact. However, the existence of COVID-19 has resulted in a decrease in the number of visits due to restrictions on foreign tourists. From January to November 2021, there was a drastic decrease of 61.82% in the number of foreign tourist visits compared to the same period in 2020. In addition to COVID-19, as well as support in building facilities that support the increase in the number of foreign tourists. From these conditions, predictions are needed that are used as a basis for planning and helping decision making. The purpose of this study is to develop a more accurate prediction model in similar studies using the same data in predicting foreign tourist arrivals in Indonesia through air entrances using the XGBoost, Random Forest, and Catboost methods by focusing on the accuracy evaluation results metrics RMSE, MAE, and MAPE and making predictions for the next 12 months. The dataset used is taken from the Central Statistics Agency (BPS), namely data on foreign tourist arrivals based on the arrival entrance in the period January 2017 to November 2021. The data used are time series and non-stationary. From the research results, it can be seen based on the accuracy evaluation results that the XGBoost model of this study gets better accuracy evaluation results than the other two models by getting the results of the RMSE accuracy evaluation value of 671935.2, MAE 648139.1, and MAPE 20985.35. The XGBoost model is better with a smaller accuracy error value than the Random Forest model, Catboost, and similar research using the ARIMA method with an RMSE value of 779670.7, MAE 749030.4, and MAPE 23196.45.

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