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INDONESIA
PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer
Published by Universitas Dinamika Bangsa
ISSN : 19076738     EISSN : 25280082     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal PROCESSOR merupakan Jurnal yang diterbitkan oleh STIKOM DINAMIKA BANGSA JAMBI. Jurnal ini terbit 2 kali dalam setahun yaitu pada bulan April dan Oktober. Misi dari Jurnal PROCESSOR adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai Ilmu bidang informatika, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan.
Arjuna Subject : -
Articles 483 Documents
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Prediksi Distribusi Air Perusahaan Daerah Air Minum (PDAM) Tirta Dharma Kota Pasuruan Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Agustina, Dwi; Hafiyusholeh, Moh.; Fanani, Aris; Prasetijo, Dono
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.697

Abstract

Every human being has the right to use clean water which is the most important resource for daily needs. The author wants to predict PDAM water distribution using the backpropagation neural network method, so that it can help PDAM Tirta Dharma Pasuruan city to find out the estimated water distributed to customers for the next period. This research was conducted using water distribution data obtained directly from PDAM Pasuruan City from January 2019 to December 2021. The architectures used in this study are 4-2-1, 4-4-1, and 4-8-1, with architectures the best is 4-2-1, which has an accuracy rate of 100%, a learning rate of 0.1, a target error of 0.001, and a maximum epoch of 1000. The number of predictions for the distribution of water in PDAM Tirta Dharma, Pasuruan City in 2022 was 6,829,056, in 2023 there were 6,865. 358, in 2024 there will be 6,867,817, and in 2025 there will be 6,868,785.
Perbandingan Klasifikasi Penyakit Kanker Paru-Paru menggunakan Support Vector Machine dan K-Nearest Neighbor Desiani, Anita; Indra Maiyanti, Sri; Andriani, Yuli; Suprihatin, Bambang; Amran, Ali; Marselina, Nyanyu Chika; Salsabila, Aulia
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.700

Abstract

Lung cancer is a condition where cells grow uncontrollably in the lungs due to carcinogens. Lung cancer is the first cause of death in men and women’s second cause of death. One way to reduce the death rate due to lung cancer is to carry out early detection, that is classification. The process of identifying and grouping objects with the same characteristics or characteristics into several predetermined classes is called classification. Several algorithms widely used in the classification process are Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). SVM has advantages, being able to identify hyperplanes separately to maximize the margin between two or more different classes, but it is difficult to use in large data, while KNN can perform large-scale data separation and is resilient to noise in the data. This study aims to build a model using the SVM and KNN algorithms to classify lung cancer. The lung cancer dataset has a total of 309 data, where data is divided using the percentage split method and k-fold cross validation on each algorithm used. The parameters used in evaluating the model are accuracy, precision, and recall. From the research, the highest accuracy, precision, and recall values were obtained in the SVM algorithm with the percentage split method with consecutive values, namely 95.16%, 88%, and 82.5%. This indicates that the SVM algorithm with the percentage split method performs better in classifying lung cancer than other algorithms and methods,
E-Module Bahasa Pemrograman Java Berbasis Exe-Learning Rahmat Musfikar; Ichsanul Akbar; Sarini Vita Dewi; Aulia Syarif Aziz
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.704

Abstract

Learning informatics is often considered a difficult subject by junior high school (SMP) students, especially in the introduction of algorithms and programming languages. There are many variables that cause problems that teachers often face when teaching informatics. One of them is the unavailability of learning media. Therefore, research was conducted to discuss learning media for the Java programming language using Exe-Learning. The purpose of this study is to produce learning media that contains material on the introduction of algorithms and the introduction of the Java programming language. In designing and building this learning media using the ADDIE method which consists of 5 stages, namely Analysis, Design, Development, Implementation, and Evaluation. This research produced learning media in the form of Java Programming Language E-Modules. This learning media has been tested and validated by media experts and material experts with the validation results of this learning media expert with a percentage of 90% and material experts with a percentage value of 95.38%, indicating that this media is very feasible to use as a learning resource in subjects informatics, especially on material algorithms and programming languages
Implementasi Algoritma SIFT (Scale-Invariant Feature Transform) Dan Algoritma Kalman Filter Dalam Mendeteksi Objek Bola saputra, chindra
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.791

Abstract

The Indonesian Football Robot Contest (KRSBI) is a division of the Indonesian Robot Contest (KRI) which is held annually by RISTEKDIKTI and KEMENDIKBUD. In a soccer robot contest, the robot is required to detect the ball and then lead it to the opponent's goal so that a goal can be created. a good object detection system must be fast, light, and of course it must have good accuracy. Currently, the object detection system that has been applied to robots is in the form of color filtering which is considered quite good in detecting an object. However, if you only rely on this method, it is still lacking when viewed from the point of view of object tracking. The Kalman Filter algorithm serves as an estimator that can be used to predict the direction of movement of an object based on the object's status from the previous frame. This allows the robot to move 1 (one) frame faster than the object to be tracked. The SIFT algorithm can compare two images through the features of the image and produce whether the images are similar or not. This algorithm is useful for ascertaining whether the object detected by the robot is a ball or not. This research combines the SIFT and Kalmal Fiter algorithms to produce a better detection system than before. It is hoped that the results of this research can be used by robots in participating in the Indonesian soccer robot contest.
Perancangan Sistem Akuntansi dan Penjualan Berbasis Web pada Griya Teknik Elektro Martono
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.793

Abstract

Griya teknik elektro is a shop engaged in the supply of goods and services to repair engineering and electrical equipment. Currently, in carrying out transactions and processing financial reports, they still use paper media as the main option for storing transaction data and storing information, which ultimately causes difficulty in finding data and the high costs required to run their business. Because of this, the authors decided to carry out research entitled design of web-based accounting and sales systems at griya teknik elekto with the intention that all the problems faced by them both in the transaction process to report processing can be resolved. The accounting and sales systems contained in this study are described in the form of modeling use case diagrams along with class diagrams. The final product of this research is a web-based accounting and sales system that allows users to perform various data processing such as managing accounting such as customer ledgers and supplier ledgers, managing attributes such as brands, cities and stores, managing customers such as customer data and customer payments. , managing inventory such as products, categories and stocks, managing reports such as sales reports and return reports, managing purchase lists, managing purchase returns and changing passwords and also login and logout from the system.
Optimisasi Pembelajaran Online di MTS Al Falah menggunakan Node.js Express dan MongoDB Hendri
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.831

Abstract

E-Learning is an approach to developing knowledge, skills, and competencies through internet technology-based facilities. E-Learning allows teaching materials to be conveyed to students via the internet, intranet or other computer network media. Mts Al Falah Pancuran is a school located in a remote area on the border between Jambi province and South Sumatra province. In this area there is no internet network so that it attacks teachers in finding references to make material as learning materials and challenges students to find references for learning. Build a web-based E-Learning application and implement it using the Nodejs web programming language, for database management using mongodb and its creation using the waterfall method which includes analysis, design, implementation and testing. From the results of the analysis and interviews the researcher tried to apply the web-based E-Learning concept by making one of the existing computers a server for the E-Learning application using a Local Area Network (LAN) network, so that the application can still be accessed even without an internet network because the application is running. On a computer that has functioned as a server and accessed by client computers in the same network.
Robot Untuk Mendeteksi Objek dengan Citra Digital dan Notifikasi Short Message Service (SMS) Toyib, Rozali
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.840

Abstract

The use of the camera can only be used as a monitor which is usually used not equipped with other devices that allow it to hit an object, be it a human or an object and by using a camera is a hardware device that functions to capture images and convert them into digital images that can be read and processed. by a computer using a robot controlled by a smartphone in approaching objects, the camera sensor is useful for detecting colored ball objects. The detected colors consist of Red, Green, Blue, all colors are processed in the microcontroller which functions as the brain of the robot that is made and later the robot will send information in the form of SMS the results of color objects that have been detected. Research results On the camera sensor, the larger the megapixel camera used, the clearer the resulting image will be in the detection process. The time for sending SMS to the destination number is based on the signal quality of the GSM provider used and in developing information, real-time object information can be added. for object detection will be displayed directly by the smartphone connected to the robot.
Pengembangan Aplikasi Transliterasi Teks Latin ke Aksara Ulu (Komering) Berbasis Web Permata Sari, Tia; Novaria Kunang, Yesi
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.852

Abstract

Ulu script is one of the letterforms or writing systems used and developed bt the communities of South Sumatra, specifically the Serawai, Lembak, Rejang, and Pasemah ethnic groups. Typically, Ulu script is used for daily activities such as storytelling, writing poetry, and recording customary laws. Ulu script needs to be preserved because its usage has been declining due to the introduction of the Latin script, which has become the international standard. To preserve Ulu script, a tool is needed to assist in transliterating Latin text into Ulu script. Therefore, this research aims to develop a web-based application for transliterating Latin text to Ulu script using mapping techniques and the sequential search algorithm. The resulting application can assist and facilitate users in transliterating text from Latin to Ulu script.  
Implementasi K-Means Clusstering Dalam Pengelompokkan Produksi Daging Ayam Menurut Provinsi Di Indonesia sahri, aulia eka
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.853

Abstract

Chicken meat is a food ingredient with balanced nutrition needed by the body. The quality of each meat is a combination and variation of the properties of the meat, so that meat products can be eaten. The purpose of this study was to classify chicken meat production by province in Indonesia using K-Means Clustering analysis. From the analysis results, the best Average Silhouette Total is 0.84 and consists of 3 clusters. Cluster 1 is a province group with high chicken meat production, with a total of 19 provinces. Cluster 2 is a province group with moderate chicken meat production, with a total of 4 provinces. Cluster 3 is a province group with low chicken meat production, with a total of 11 provinces.
Pengoptimalan Komunikasi Bahasa Isyarat Abjad dengan Augmented Reality Hamdani, Ibnu Mansyur; Syamsumar Bustamin
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.872

Abstract

One of the activities that humans always do is communication. This communication is carried out by everyone, but there are special ways of communication that are carried out by people with special needs, such as the deaf. The communication uses sign language, where learning the language is quite difficult, especially for students who are deaf. There is a solution that can solve this problem, namely the use of technology. One of the technologies that can be used is Augmented Reality. Augmented Reality is able to combine the physical world and digital elements that can be used to facilitate human activities. Augmented Reality is designed and packaged in the form of a mobile-based application to make it easier to learn sign language. The use of this designed application is specifically aimed at students with special needs. In addition, the use of the application can also be felt by a group of people who are learning sign language. Application testing involves various aspects, such as functional testing, device compatibility testing, performance testing, AR accuracy and compatibility testing, interaction testing, usability testing, and testing in real environments. App testing engages users, either in user testing or through the feedback they provide. The users involved are divided into 2, namely users as experts in AR testing and users as customers or in this case teachers. The test results prove the value with a high percentage. Tests by experts achieve an average value of 93.13% and tests by customers achieve an average value of 93.60%. This average value can be classified as a reference that the application functions properly, according to needs, is safe, responsive, and provides a satisfying experience.

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