JURNAL ILMIAH INFORMATIKA
Jurnal Teknologi Informatika dan Sistem Informasi Fakultas Teknik dan Komputer UPB, telah menerbitkan publikasi ilmiah dengan topik yang mencakup tentang Information System, Geographical Information System, Remote Sensing, Cryptography,artificial intelligence, Computer Network, Security dan Database.
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129 Documents
<![CDATA[PERANCANGAN LEARNING MANGEMENT SYSTEM BERBASIS ANDROID ]]>
<![CDATA[Muhammad Andi Firdaus]]>;
<![CDATA[Ahmad Husain]]>;
<![CDATA[Anggun Citra Dini Dwi Puspitasari]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 10 No 02 (2022): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v10i02.6359
<![CDATA[The purpose of this research is to design a companion application for learning activities, previously SMPN 163 Jakarta used a third-party application to accompany learning activities. In addition, this study also aims to create an integrated and integrated learning companion application for SMPN 163 Jakarta to overcome the problem of inconsistency in the use of applications by each teacher at SMPN 163 Jakarta. The time of the study was carried out from March to July 2022. This study uses a qualitative approach by developing a system using research and development methods. The result of this research is the application that the researcher makes can integrate learning activities from third-party applications. With the application that the researcher made, the applications that are used as learning companions by the teachers of SMPN 163 Jakarta can be replaced with applications that the researchers made, and overcome the problem of inconsistency in the use of learning companion applications. In addition, with the application that the researcher made, it is possible to store administrative data for safer learning activities because they no longer use paper media so that there is no risk of paper being lost or torn.]]>
<![CDATA[SISTEM PAKAR DIAGNOSA PENYAKIT SAPI SEBAGAI UPAYA PENCEGAHAN PENYEBARAN WABAH PMK DI LAMONGAN ]]>
<![CDATA[Moh. Rosidi Zamroni]]>;
<![CDATA[Qabilah Cita K. N. S]]>;
<![CDATA[Agung Wahyudi]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 10 No 02 (2022): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v10i02.6373
<![CDATA[On May 5, 2022, Indonesia was hit by an outbreak of PMK in livestock. Until now, in August 2022, there are 20 provinces, 215 districts/cities, 1,808 sub-districts and 7,434 villages that are still actively infected with nail and mouth disease (PMK). The emergence of PMK is an epidemic that results in huge losses to cattle farmers. Especially if you do not have knowledge about the transmission of the disease. One of the efforts to prevent the spread of livestock disease is to implement an expert system for diagnosing cattle disease using the forward chaining method. Where this system will help farmers to provide knowledge of disease symptoms and diagnosis of disease, so that farmers are able to take initial action to handle their livestock.]]>
<![CDATA[PENGUKURAN KUALITAS PERANGKAT LUNAK WEBSITE PENDATAAN EKSKUL SISWA MENGGUNAKAN FUNCTION POINT ]]>
<![CDATA[Rizky Parlika]]>;
<![CDATA[Rayhan Rizal Mahendra]]>;
<![CDATA[Muhammad Rafli Aulia Rojani Lutfi]]>;
<![CDATA[Rizqy Khoirul Waritsin]]>;
<![CDATA[Humam Maulana Tsubasanofa Ramadhan]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.5578
<![CDATA[The development of software or software has started even since the creation of electronic computers. Software contains electronic data stored in computer devices. Measurement is the foundation of every engineering discipline and applies to software engineering as well. To evaluate the performance of a system or process, a mechanism is needed to observe and determine the level of efficiency. In software measurement there is an application to measure the value of the software. There are several methods of measuring software, one of which is the function point. Function point is one method that can measure software. This method produces the points needed to assess how much the price of a software is. The points are divided into two categories, namely Crude Function Point (CFP) and Relative Complexity Adjustment Factor RCAF. By using these points, a fixed price can be determined for a software.]]>
<![CDATA[PENERAPAN HFSM PADA GAME 3D “PETUALANG QUR’AN” ]]>
<![CDATA[Juniardi Nur Fadila]]>;
<![CDATA[Fresy Nugroho]]>;
<![CDATA[Vera Artanti]]>;
<![CDATA[Salma Ainur Rohma]]>;
<![CDATA[Muhammad Khoirul Huda]]>;
<![CDATA[Nur Syamsu Priambudi]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.6538
<![CDATA[Game is a game that is very liked by children and adults. In making this game the author applies Islamic learning, namely Adventurers of the Qur'an. In making this game, the author uses the Hirarchical Finite State Machine (HFSM) method. This game is an adventure in a forest, countryside, road and river. When the player is on an adventure, he will find a Qur'an quiz that must be answered and solved. When the player cannot answer and cannot pass the Non Playable Character (NPC), the game will repeat to the initial start. In this game there are four Non Playable Character (NPC), namely Small Parasites, Boats, Vehicles and Pigs. The four Non Playable Character (NPC) can make decisions on what to do with players. The decision making of the four Non Playable Character (NPC) is implemented using the Hirarchical Finite State Machine (HFSM) method using the Unity game engine.]]>
<![CDATA[PERANCANGAN MONITORING SUHU BERBASIS INTERNET OF THINGS DENGAN NODE MCU ESP8266, DHT 11 DAN THINGSPEAK ]]>
<![CDATA[Fahrus Salam]]>;
<![CDATA[Onki Alexander]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.6546
<![CDATA[Monitoring temperature is an aspect that we need to know so that we can know the standard of temperature and humidity in a place. The purpose of this study is that we monitor temperature and humidity levels in real-time, so an Internet of Things (IoT) based Temperature Monitoring Design is made for DHT11 temperature and humidity sensors whose data can be acquired using the NodeMCU ESP8266 microcontroller connected to the internet or wifi. sent to ThingSpeak as the data-receiving server. After the data is entered into Thingspeak, the measurement data that has been carried out can be viewed using a cellphone or computer. The data obtained is then displayed in the form of temperature and humidity graphs, these graphic displays can be accessed online on the Thingspek web]]>
<![CDATA[PERAN ETHICAL HACKING DALAM MEMERANGI CYBERTHREATS ]]>
<![CDATA[Qorry Aina Fitroh]]>;
<![CDATA[Bambang Sugiantoro]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.6593
<![CDATA[The efforts to digitize and optimize various things in the modern world will certainly highlight issues related to cybersecurity such as data breaches, security breaches, and so on. Ethical hacking and its need in the future cannot be avoided. Ethical hacking technology is spreading in almost every aspect of life, especially the computer industry, which requires protection of important data and must be handled with the right technology. Ethical hacking aims to find vulnerabilities in security systems and discover potential data breaches. This contrasts with the common understanding of hacking, which is black hat hackers who damage systems with malicious intent and steal data and infect viruses. Ethical hacking is a way to combat and neutralize black hat hackers. Teaching ethical hacking is preparing professionals in the information security field with the tools and skills to combat and prevent cybersecurity threats. Teaching inexperienced people in information security with aggressive methods can be viewed as both beneficial and harmful. This is because the same methods are used by malicious hackers hence educating professionals in information security may be perceived as enhancing malicious hackers. Using the literature study method, this article discusses various issues related to ethical hacking.]]>
<![CDATA[ANALISIS SENTIMEN ULASAN APLIKASI POSPAY DENGAN ALGORITMA SUPPORT VECTOR MACHINE ]]>
<![CDATA[Dea Safryda Putri]]>;
<![CDATA[Taufik Ridwan]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.6611
<![CDATA[Pospay application is a form of financial technology belonging to Pos Indonesia. Pospay application on the Google Play Store has more than 25 thousand user reviews. The more user reviews, the more difficult and longer it will take for prospective users and application managers to conclude information on user sentiment trends that are useful in making decisions about application use and evaluation. Sentiment analysis is the solution to this problem because sentiment analysis is able to classify unstructured data to generate sentiment information efficiently by applying data mining algorithms. This research uses the Knowledge Discovery in Database (KDD) method, where at the data mining stage, the Support Vector Machine algorithm is applied in making the model. Grid search was applied to test 3 scenarios so that the proportion of data distribution with the best accuracy was obtained, namely, 90:10, using RBF kernel with parameters: c = 1, ℽ = 1. The results of this research were a model with 95% accuracy, 91% precision, 100% recall, and 95% f1-score. Information was also obtained that the sentiment of Pospay application users on the Google Play Store tends to be positive (54.1%) but not much far from the percentage of negative sentiments (45.9%).]]>
<![CDATA[SISTEM INFORMASI UNIT KEGIATAN MAHASISWA DAN HIMPUNAN MAHASISWA JURUSAN POLITEKNIK NEGERI FAKFAK ]]>
<![CDATA[Ardhyansyah Mualo]]>;
<![CDATA[Hasan Basri]]>;
<![CDATA[La Ode Syaiful Djamani]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.6715
<![CDATA[Today's information systems are inseparable because they demand a company to create an integrated system that allows others to access the information they need from the company. The Student Activity Unit or UKM organization and the Departmental Student Association (HMJ) are two that are affected, making it simpler for students to obtain information, which is one of the most crucial requirements that must be met. Numerous student organizations are supervised by the Fakfak State Polytechnic and are grouped under the Student Activity Unit (UKM). Student activity units and major student associations at the Fakfak State Polytechnic currently do not have an integrated information system that explains management profiles, vision and mission, and work programs. This has an impact on the lack of information obtained by students and the public regarding UKM and HMJ at the Fakfak State Polytechnic. Therefore, efforts are needed to build and improve an information exchange system in the form of a website-based application for student activity units and departmental student associations that can manage information from each organization in an integrated manner to be able to overcome these problems. The information system that will be built and developed is a web-based application that makes it easier for users to access information and also acts as a promotional medium.]]>
<![CDATA[RANCANG BANGUN SISTEM KONTROL MOTOR LISTRIK BERBASIS RASPBERRY PI ]]>
<![CDATA[Ali Abrar]]>;
<![CDATA[Syaeful Akbar]]>;
<![CDATA[Tukino Tukino]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.6989
<![CDATA[This study will develop and execute control of DC motors and servo motors on a 4WD robot controlled by a keypad and equipped with grippers and a USB webcam to broadcast video so that the gripper robot vehicle can view items in front of it. Control actions were implemented using Python-based user defined programming on a Raspberry Pi 4 with motor driver controller. The challenge described in this article is how to optimize a tool design utilizing a driver loaded directly on an SBC. The goal of this study is to create technical ideas in the area of electric motor control and mechatronics in the form of applications. The design, production, and testing stages are followed utilizing the Raspberry Pi, RPi Motor Driver Board, and Python as the major components. The study's findings include a prototype wheeled robot with a camera for image capture and an actuator in the form of a servo motor with a gripper/clamp as an attachment. The study's conclusion is that the design outcomes of electric motor control utilizing Raspberry Pi-based can perform more efficiently.]]>
<![CDATA[PERBANDINGAN ALGORITMA NAÏVE BAYES CLASSIFIER DAN K-NEAREST NEIGHBORS UNTUK ANALISIS SENTIMEN COVID-19 DI TWITTER ]]>
<![CDATA[Habibi Aulia Nur Syifa Habibi]]>;
<![CDATA[Arie Nugroho]]>;
<![CDATA[Rina Firliana]]>
<![CDATA[ JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF) ]]>
Publisher : <![CDATA[LPPM Universitas Putera Batam ]]>
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DOI: 10.33884/jif.v11i01.7069
<![CDATA[COVID-19 emerged in China in 2019. In Indonesia in 2020 there were more than 3000 positive cases of COVID-19 with a mortality rate of 9.1%. The government's incomplete efforts to break the chain of the spread of COVID-19 have made people uneasy about this pandemic. Many people want to express their aspirations on social media which is considered suitable as a place that represents the aspirations of the COVID-19 pandemic. One of them is twitter. There are so many text messages sent, some positive and some negative, that it is difficult to retrieve harmonized information due to the diversity of text messages sent. One way to overcome this is with sentiment analysis. This research has processes including text preprocessing, word weighting, classification with K-Nearest Neighbors (KNN) and Naïve Bayes Classifiers (NBC) algorithms. The results obtained by KNN got an accuracy of 72.37% while NBC amounted to 67.84%. KNN is the best classification algorithm for negative sentiment classification, the negative label predicted correctly in KNN is greater, namely 393 compared to NBC which is 339. while NBC is the best algorithm for positive sentiment classification, the positive label predicted correctly NBC is 275 greater than KNN as much as 262.]]>
