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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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PENANGANAN MISSING VALUES DAN PREDIKSI DATA TIMBUNAN SAMPAH BERBASIS MACHINE LEARNING Widianti, Anisa; 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.v9i2.4789

Abstract

The issue of increasing waste due to the growing population and human activities presents a serious challenge in waste management in Central Java. One of the main obstacles in waste prediction research is the prevalence of missing data, which can reduce the accuracy of predictive models. This study employs three methods to handle missing values: Mean Imputation, Interpolation, and KNN Imputer. Once the missing values are filled using these methods, the next step is to calculate the prediction values. The study utilizes three predictive models: Random Forest, Gradient Boosting, and KNN. The results indicate that with Mean Imputation, the Random Forest model shows the best performance with an RMSE of 0.349. When using Interpolation for missing values, the Gradient Boosting model becomes the best choice with an RMSE of 0.543. Meanwhile, with KNN Imputer, the Gradient Boosting model again performs the best with an RMSE of 0.188. Based on this research, the most effective approach is using KNN Imputer for handling missing values in conjunction with the Gradient Boosting model. This combination provides the lowest RMSE for similar datasets.
PENERAPAN METODE ROTOSCOPING DAN FRAME ELIMINATION PADA ANIMASI 2D TARI ZAPIN Firmansyah, Rokhmatulloh Batik; Adi Saputra, Dhimas; Dianly Lukman, Chyntia; Aqil Al-Bajili, Qashdan; Cristian, Jimmy
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.v9i2.4791

Abstract

The growth of the animation industry in Indonesia is predicted to continue to grow. This can be seen from the development of animation in Indonesia, which is dominated by 2-dimensional and 3-dimensional animation in recent years, as well as being marked by the large number of animators from Indonesia who are successful on the international stage. Generally, animation is applied to character movements, whether simple movements such as walking, to complex movements such as fighting. In its application, various methods can be used as long as they can create animated movements that match the original movements. Generally this is done successfully because in complex movements, the speed of the movement seems to obscure the animation details of the movement. However, this does not apply to one type of movement that is very rarely used in animation, this movement is dancing. The reason why dance movements are rarely animated is because dance is a series of movements that have low speed, so that the details in each change in movement in one dance can produce hundreds or even thousands of frames when converted into animation. Visualizing dance art with animated visuals is not an easy thing, because there are many frames that have to be created so that the dance looks natural. Moreover, using animation techniques such as frame by frame and cutout, of course, actually increases the processing time and quantity of images produced. Actually, apart from frame by frame and cutout, there are still other animation techniques that can be applied to overcome the problem of many frames in dance movements. One solution is to visualize dance in animated form. Namely the rotoscoping technique which can bridge dance with animation. This rotoscoping imitates every change in movement in dance, and converts it into a frame. However, if you only use this technique, the resulting image will still be too large, so one more technique needs to be added, namely frame elimination. For this reason, the author wants to apply the rotoscoping technique in making Zapin dance animations. To find out whether dance art can be visualized well using rotoscoping and Frame Elimination techniques.
KLASIFIKASI HASIL MRI TUMOR OTAK DENGAN EKTRAKSI FITUR GRAY LEVEL CO-OCCURANCE MATRIX (GLCM) Fikriah, Fari Katul; Ariyanto, Amelia Devi Putri; Setyawan, Arif Fitra
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.v9i2.4793

Abstract

Bagian penting dari tubuh adalah otak yang mana menjadi sumber dari semua alat tubuh yang terletak dalam rongga tengkorak, tumor otak merupakan salah satu penyakit yang dapat menyerangnya. Pendeteksian tumor otak adalah salah satu aspek yang dinilai penting dalam diagnosa medis. Pada penelitian ini memiliki tujuan melakukan implementasi ekstraksi fitur GLCM (Gray Level Co-occurence Matrix) pada citra MRI tumor otak serta mencari performa algoritma yang paling baik dari deteksi tumor otak menggunakan citra MRI ini. Data yang dipakai pada penelitian ini merupakan data public yang berasal dari kaggle.com. Proses ekstraksi fitur pada citra digunakan pada penelitian ini GLCM yang mana memiliki fungsi menghitung frekuensi dari nilai intensitas piksel yang berjarak antar citra dengan menggunakan parameter 0o, 45o, 90o, 135o. Tahap selanjutnya pada penelitian ini adalah dengan melakukan langkah preprocessing dengan selanjutnya mencari nilai klasifikasi dari hasil MRI menggunakan algoritma Naïve Bayes, C4.5 dan Neural Network. Hasil yang didapatkan memperlihatkan bahwa Naïve Bayes memiliki performa algoritma paling baik dibandingkan C4.5 dan Neural Network yaitu dengan akurasi algoritma Naïve Bayes sebesar 96.8%, sedangkan untuk algoritma C4.5 sebesar 41.5% dan Neural Network sebesar 38.25%. selain hal tersebut pada penelitian ini membuktikan bahwa dengan ekstraksi fitur GLCM terbukti efektif dalam menangkap informasi tekstur dari citra MRI yang sangat penting pada klasifikasi tumor otak.
PENERAPAN JARINGAN SARAF TIRUAN DENGAN ALGORITMA PERCEPTRON PADA DETEKSI PENYAKIT BAWANG MERAH Bunda, Yola Permata; Kartini, Siti Agus; Nasution, Muhammad Romi; Supriyanto, Asep; Mustafa, Satria Riki
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.v9i2.4800

Abstract

Penelitian ini difokuskan pada kemajuan sistem deteksi penyakit bawang merah (Allium ascalonicum) menggunakan Jaringan Saraf Tiruan (JST) dengan Algoritma Perceptron. Bawang merupakan komoditas hortikultura penting dengan kepentingan ekonomi yang substansif di Indonesia. Namun, produksi bawang merah sering terhambat oleh berbagai penyakit yang dapat menyebabkan kerugian signifikan. Identifikasi tepat waktu dan pengelolaan yang efektif terhadap penyakit tersebut sangat penting untuk mengurangi dampak buruknya. Sistem pakar yang memanfaatkan kecerdasan buatan, khususnya JST, telah terbukti efektif dalam deteksi penyakit tanaman. JST meniru cara kerja otak manusia dalam mengenali pola dan membuat keputusan berdasarkan data yang diperoleh. Penelitian ini menggunakan data gejala penyakit bawang merah yang terdiri dari 13 gejala dan 7 jenis penyakit. Setiap gejala dan penyakit dihubungkan dalam basis pengetahuan yang kemudian dianalisis menggunakan Algoritma Perceptron. Perceptron adalah algoritma pembelajaran terawasi yang digunakan untuk klasifikasi dan pengenalan pola. Proses pelatihan melibatkan inisialisasi bobot dan bias, perhitungan respon output, dan penyesuaian bobot jika terjadi kesalahan. Hasil akhir dari sistem ini adalah identifikasi jenis penyakit yang menyerang bawang merah berdasarkan gejala yang diamati. Implementasi sistem ini mencakup tampilan home, tampilan diagnosa, dan tampilan hasil diagnosa. Sistem ini memungkinkan pengguna untuk melakukan diagnosa penyakit bawang merah dengan menjawab pertanyaan terkait gejala yang diamati. Hasil diagnosa akan menampilkan jenis penyakit dan solusi yang disarankan. Penelitian ini menunjukkan bahwa Algoritma Perceptron dapat diterapkan secara efektif dalam sistem deteksi penyakit bawang merah, membantu petani dalam mengidentifikasi dan mengelola penyakit dengan lebih cepat dan akurat.
PENERAPAN TEKNIK PENETRATION TESTING TERHADAP CROSS SITE SCRIPTING (XSS) DALAM PENGEMBANGAN WEBSITE Chandra, Ahmad Alfian; Turmudi Zy, Ahmad; Nugroho, Agung
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.v9i2.4822

Abstract

The increasing use of websites in various aspects of daily life has led to an urgent need to ensure the security of the information presented. One of the significant threats in website security is Cross-Site Scripting (XSS), where an attacker inserts malicious code into a web page to be executed by the user. This research aims to apply penetration testing techniques as a method to detect and resolve XSS vulnerabilities in website development. The research was conducted through three stages: installation of software to support penetration testing, execution of penetration testing using OWASP ZAP to identify vulnerabilities, and evaluation and implementation of solutions to address the vulnerabilities found. The results show that the implementation of the htmlspecialchars function in PHP is effective in preventing the execution of malicious scripts, thereby reducing the risk of XSS attacks. In addition, penetration testing techniques proved to be an effective method in identifying and mitigating security risks in web applications. Thus, this research emphasizes the importance of thorough security testing and implementation of appropriate preventive measures to maintain the integrity and user trust of web applications.
PERANCANGAN SISTEM INFORMASI PENGGAJIAN KARYAWAN BERBASIS WEBSITE DI PERUSAHAAN X MENGGUNAKAN METODE PROTOTYPE Hidayat, Deri Ramadiyan; Hamdani, Dani
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.v9i2.4837

Abstract

Company X is a growing company along with increasing customer demand and employee needs, which means a computerized system is needed to reduce errors in salary calculations. Currently the company is still less effective in calculating employee salaries because it still calculates, pays salaries and makes reports manually with methods in data collection, namely using interviews with company owners, conducting field observations and also questionnaires used for assessment of system design, the design method uses prototypes which have stages, namely listening to customers or collecting needs, Design and Test in assessment The trial uses a System Usability Scale (SUS) assessment of the respondent's assessment data, then calculates using the formula from the System Usability Scale, the smallest value is 78 and the largest value is 90 from the depalan respondent by answering 10 questions which has an average score of 86 from the qualifications in the table above "Very Feasible" the user interface must be designed so that it is easy to use and easy to understand so that payroll data input errors can be avoided. The use of autofill features and real-time data validation can help reduce input errors. And to create an effective user interface, it is necessary to understand user needs and expectations well. This can be achieved by involving users during the design and testing process, such as surveys, interviews, and prototype trials.
OPTIMALISASI PERANCANGAN APLIKASI MANAJEMEN DATA KOLOMAN, DI DESA PULAU MANDANGIN SAMPANG – MADURA BERBASIS WEBSITE Prasetyo Eka Putra, Fauzan; Sutarsih, Siti Ririn; Sofiyulloh, Sofiyulloh; Permana, Putra; Umar Mansyur, 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.v9i2.4840

Abstract

The rapid development of information technology has had a significant influence on various aspects of life, including data management in traditional activities such as koloman in Pulau Mandangin Village, Sampang, Madura. The manual data management that residents still apply creates difficulties in the process of searching and managing koloman data. This causes the time required to enter and search for information to be longer, and increases the risk of inaccuracies. Additionally, physical storage of information can also pose security and support issues, as information can be lost or damaged. As a result, data management becomes inefficient and people have difficulty finding the information they need quickly and accurately. To overcome these problems, this research proposes an innovative and sustainable solution for designing a web-based koloman data management application. This application is designed to facilitate centralized data processing, automate data input, and provide real-time access to information. Thus, it is hoped that this application can increase the accuracy, speed and transparency of koloman data management, as well as provide significant benefits for the community in managing koloman data more effectively and efficiently. The application of web-based technology also opens up opportunities to increase the capacity of local communities in utilizing information technology.
PENGGUNAAN ALGORITMA GEOSHASHING DALAM PENCARIAN LETAK INFORMASI GEOGRAFIS PENGGANTI KOOORDINAT LATITUDE DAN LONGITUDE Firdaus, Fajar; Hadiana, Asep Id; Ramadhan, Edvin
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.v9i2.4848

Abstract

Dalam era digital saat pencarian data geografis menjadi semakin penting dalam aplikasi lokasi, termasuk pemetaan, navigasi, dan analisis lingkungan tempat dalam suatu lokasi. algoritma geohashing menawarkan pendekatan yang efisien untuk pengkodekan dan menyimpan data geografis dalam format string,String ini menggunakan alfanumerik yang dihasilkan oleh geohashing dari angka dan huruf dalam pencarian titik lokasi dengan koordinat, hal ini juga dapat menawarkan lapisan akses dari data lokasi yang sensitif. Penelitian ini bertujuan untuk mengeksplorasi penerapan algoritma geohashing dalam manajemen data geografis. algoritma geohashing dalam pencarian letak informasi geografis sebagai alternatif pengganti koordinat latitude dan longitude. Secara khusus, penelitian ini menganalisis efisiensi geohashing dalam kompresi data, akurasi lokalisasi penggunaan geohashing memungkinkan pengelompokan data geografis yang lebih baik, dan mendukung pencarian data spasial seperti pencarian letak lokasi dan pencarian titik koordinat dalam wilayah tertentu. algoritma geohashing diimplementasikan dalam data geografis dan diuji untuk berbagai skenario pencarian. Dari hasil penelitian menunjukkan bahwa geohashing dapat meningkatkan kecepatan pencarian informasi geografis secara signifikan algoritma geohashing membuktikan tindakan sebagai alat yang efektif dalam manajemen dan pencarian data geografis,pada pencarian data koordinat lokasi ini juga dapat memberikan alternatif untuk mendapatkan latitude dan longitude dari suatu lokasi. Hasil penelitian menunjukkan bahwa geohashing dapat meningkatkan kecepatan pencarian informasi geografis secara signifikan, terutama dalam menjangkau suatu lokasi dengan level grid kotak data yang kecil dan besar sesuai karakter string yang dimasukan. Penggunaan geohashing tidak hanya meningkatkan efisiensi dan kecepatan pencarian tetapi juga memberikan manfaat tambahan dalam hal pengelolaan dan perlindungan data geografis.algoritma geohashing adalah metode yang digunakan untuk mengkodekan koordinat geografis yang menghasilkan lokasi acak.Pengujian pada sistem ini dilakukan dengan cara melakukan akses geografis kepada API aplikasi lokasi yang sudah dibuat sesuai permintaan yang diminta untuk mendapatkan informasi data geografis dan titik lokasi.
OPTIMASI PENENTUAN LOKASI INDUSTRI DENGAN GIS-MCA: INTEGRASI TEKNOLOGI UNTUK ANALISIS SPASIAL MENDALAM Nur, Ahmad Amri; Sandri, Dian; Haidar Ahmada, Naufal; Aulia Purbandini, Revi
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.v9i2.5012

Abstract

and extinction if its location does not match its purpose. Each region requires an Industrial Designation Area for economic development, activity separation, environmental management and infrastructure development. The purpose of this study is to identify and find the location of the Industrial Designation Area in Purbalingga Regency that meets the technical criteria totaling seventeen criteria. These criteria are weighted through the Analysis Hierarchy Process technique to obtain the level of importance of all criteria by expert opinion. The method used is Spatial Multicriteria Analysis using the ArcGIS map processor. The results of the study show that the location of the Industrial Designation Area that is very suitable in Purbalingga Regency is 2,165 Ha spread across Bukateja, Kemangkon, Purbalingga and Kalimanah Districts. In-depth spatial analysis shows that the Very Suitable location is supported by the existence of a planned toll road, station, airport and is still close to the city center. The seventeen criteria used produce three categories of industrial area suitability levels, namely Very Suitable covering an area of ​​2,165 Ha, Suitable covering an area of ​​2,123 Ha and Quite Suitable covering 8,071 Ha.

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