Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )

RANCANG BANGUN APLIKASI SIMULASI TES TOEFL BERBASIS WEBSITE (STUDI KASUS: PROGRAM STUDI TEKNIK INFORMATIKA UNIVERSITAS MATARAM)

Yuli Yana Astuti, Sri Endang Anjarwani, Budi Irmawati — Mon, 30 Sep 2024 00:00:00 +0800

One measure of a person's English proficiency can be seen from the TOEFL test scores obtained. TOEFL (Test of English as a Foreign Language) is a test used to measure a person's English proficiency. If the TOEFL test score has reached a predetermined standard, it can be used for various selection requirements, such as scholarships and college graduation requirements. Based on the regulation of the Chancellor of the University of Mataram Number 7 of 2021 Article 17 Paragraph 8 Letter g, students who wish to conduct a thesis trial need to attach a certificate of completion of the TOEFL test first as proof that the student has indeed taken the TOEFL test and passed the score determined by the program. respective studies or majors, including the Informatics Engineering Study Program. So that in this study the authors will design and build a website based TOEFL test simulation application at the Informatics Engineering Department, University of Mataram. This study uses the CodeIgniter (CI) framework and the personal extreme programming (PXP) system development method. Testing on this application uses the black box testing method and the Mean Opinion Score (MOS). The result is that the application can run properly according to its respective functionality and get a MOS value of 4.6 where this value shows that the TOEFL test simulation application has good quality to use.

PERANCANGAN USER INTERFACE DAN USER EXPERIENCE APLIKASI BERBASIS WEB UNTUK KLINIK TERAPI MENGGUNAKAN METODE USER CENTERED DESIGN (STUDI KASUS: KLINIK RUMAH TERAPI SAHABAT)

Fauziyah Aulia Rachim, Budi Irmawati, Royana Afwani — Mon, 30 Sep 2024 00:39:24 +0800

Rumah Terapi Sahabat Clinic is located in West Pagesangan, West Nusa Tenggara and has been around for seven years since it was founded in 2015. Based on the results of observations, Focus Group Discussions and interviews, this clinic needs a way to digitize clinical data storage so that it can be accessed easily by clinic staff. In order to meet these needs, a website-based application for clinics is needed with patient and therapist data storage features as well as therapy scheduling. To be able to realize this application, User Interface and User Experience are needed. The method used to do this is User Centered Design. After creating a good User Interface, testing will be carried out using the System Usability Scale and User Experience Questionnaire methods to find out how functional and experienced the clinical staff are while using this Front-end prototype and aspects that can be improved in the future. This research will have results in the form of a front end of a website-based application that suits the needs of clinic staff. While testing using SUS and UEQ, the end result of SUS is 84 or “Acceptable” meanwhile five out of six categories from UEQ are graded “Excellent”

SMART HOME BERBASIS KENDALI SUARA MENGGUNAKAN GOOGLE AIY VOICE KIT DAN RELAY MODULE

Mon, 30 Sep 2024 00:00:00 +0800

Pada zaman ini dimana teknologi sudah berkembang pesat dimana memudahkan manusia dalam aktivitas mereka dalam kehidupan sehari – hari. Dimana pada umumnya perangkat – perangkat elektronik di rumah seperti lampu dan kipas angin dalam pengoperasiannya masih menggunakan saklar manual. Lokasi dari masing-masing saklar itu sendiri berbeda-beda di setiap ruangan tergantung dari fungsi dari setiap saklar tersebut. Dengan banyaknya jumlah saklar yang ada, terkadang membuat proses menjadi kurang efisien karena pengguna diharuskan menekan saklar secara langsung yang terdapat pada masing- masing ruangan tempat saklar berada. Karena masalah tersebut maka dibuatkan solusi berupa perancangan sistem berupa smart home yang mengendalikan alat elektronik di rumah berupa lampu dan kipas angin dengan memanfaatkan fitur speech recognition perangkat Google AIY Voice Kit guna memudahkan pengguna dalam mengendalikan perangkat listrik tanpa harus menekan saklar dan dapat dilakukan di satu tempat. Hal yang sudah dijelaskan diatas telah dilakukan pengujian dimana jarak semakin dekat jarak antara pengguna dengan Google AIY Voice Kit maka perangkat akan semakin berhasil dalam menerima perintah suara pengguna dibandingkan jarak yang lebih jauh. Selain itu pada keadaan tanpa noise Google AIY Voice Kit lebih mudah dalam menerima perintah suara dikarenakan perintah suara yang diucapkan jelas, dibandingkan pada keadaan noise. Sehingga didapatkan persentase keberhasilan untuk jarak kondisi noise sebesar 41,6%, tanpa noise 75%. Pada kondisi tanpa noise sebesar 100%, dan kondisi noise sebesar 33,3%.

RANCANG BANGUN PENDETEKSI SERANGAN DEAUTHENTICATION PADA JARINGAN WIFI BERBASIS ESP8266

Muhamad Nurbayazi, Ahmad Zafrullah Mardiansyah, Ariyan Zubaidi — Mon, 30 Sep 2024 01:45:03 +0800

In the modern era that is so tied to the internet, network security is important because the internet is basically
insecure. To connect to an internet network, you can use a wireless network that uses an access point to transmit
signals from WiFi. By using WiFi, users can enjoy communication at home, in the office or while traveling without
having to bother using cables, but there are drawbacks to this benefit. Because wifi communications occur over the air, they can be intercepted easily. A relatively easy attack on a WiFi network is a deauthentication attack. A
deauthentication attack is an attack that occurs because too many deauthentication messages are sent. This
deauthentication message can be sent by the user's device or access point to notify the receiving device that their
communications should be terminated. Apart from causing communication disruption between connected devices, deauthentication attacks are also the beginning of other follow-up attacks, one of which is the evil twin attack. To prevent further attacks, a deauthentication attack detection tool is needed so that by detecting deauthentication attacks, users or admins can take preventive and security measures against the WiFi network. This research aims to improve network security, especially WiFi networks, by designing and building a tool that detects and provides warnings when deauthentication attacks occur in the form of visual and audio warnings to WiFi users, both users and admins, by utilizing buzzers and LEDs as well as notifications via the Telegram application so that they can Minimize the occurrence of deauthentication attacks on ESP8266 NodeMCU based WiFi networks. Based on tool testing on 10 access point samples, the tool's percentage of success in detecting deauthentication attacks is 100%

PENERAPAN REGRESI LINEAR UNTUK PREDIKSI SUHU BADAN SAPI MENGGUNAKAN DATA SMART TERNAK DARI PT TELKOM INDONESIA: STUDI KASUS DI DESA PENGENGAT

Nurul Umami, Ari Hernawan, I Gde Putu Wirarama Wedaswhara Wirawan — Mon, 30 Sep 2024 01:56:53 +0800

Abstract

West Nusa Tenggara (NTB) is one of the regions in Indonesia with significant potential in the field of livestock farming. In the context of the agricultural industry, livestock is considered a valuable asset, and monitoring their health is crucial for improving livestock productivity. This research aims to determine the relationship between the body temperature of cattle (Y) and environmental factors, namely air humidity (), environmental temperature (), and barometric pressure (), using smart livestock data provided by PT Telkom. The study was conducted in Pengengat Village, NTB, involving correlation and regression analysis. The analysis results indicate a significant positive correlation between the body temperature of cattle and environmental temperature () and a negative correlation with humidity (). Additionally, there is a strong positive correlation between the body temperature of cattle and barometric pressure (). The multiple linear regression equation obtained is as follows: = –26.816842418191094 + -0,0014707 + 0.39772325 + 0.04927779. Model testing shows excellent prediction quality with low Mean Squared Error (MSE) values (0.3849 for training and 0.4623 for testing). Furthermore, the high R-squared (R^2) values (0.7283 for training and 0.7110 for testing) indicate that the linear regression model can predict the body temperature of cattle based on the analyzed environmental factors.

Keywords: Cattle Body Temperature, Smart Livestock Data, Prediction, Machine Learning, Linear Regression

SISTEM INFORMASI PENGADUAN MAHASISWA FAKULTAS TEKNIK UNIVERSITAS MATARAM BERBASIS WEBSITE

Ratu Nisful Nisful Laily Laily Hidhayah, Nadiyasari Agitha, Sri Endang Anjarwani — Mon, 30 Sep 2024 02:10:48 +0800

Pendidikan tinggi memiliki peran krusial dalam meningkatkan kualitas sumber daya manusia. Fakultas Teknik Universitas Mataram, sebagai salah satu bagian dari institusi pendidikan tinggi di Indonesia, turut serta dalam upaya ini melalui peran mahasiswanya. Pengalaman mahasiswa selama perkuliahan memiliki dampak signifikan terhadap pencapaian visi dan misi fakultas. Namun, dalam konteks ini, terdapat ketidakjelasan mengenai sistem pengaduan yang ada, yang dapat menghambat mahasiswa dalam menyampaikan masalah yang mereka hadapi di lingkungan kampus. Survei yang dilakukan di Fakultas Teknik Universitas Mataram mengungkapkan bahwa sebagian besar mahasiswa mengalami kebingungan terkait keberadaan sistem pengaduan. Oleh karena itu, diperlukan wadah yang terstruktur dan efektif untuk menampung aduan mahasiswa. Salah satu pendekatan yang dapat dilakukan adalah dengan merancang dan membangun sistem informasi pengaduan. Metode Personal Extreme Programming (PXP) dipilih untuk pengembangannya karena fleksibilitasnya terhadap perubahan dan penekanan pada kualitas pengembangan pribadi. Aplikasi pengaduan yang dihasilkan akan memberikan mahasiswa kemudahan dalam melaporkan masalah dan memudahkan admin dalam memproses aduan apabila diimpelemntasikan, sehingga dapat membantu meningkatkan kualitas fasilitas dan lingkungan belajar di kampus. Hal tersebut dibuktikan berdasarkan hasil pengujian yang sudah dilakukan oleh dekan, wakil dekan, ketua jurusan, staf, dan mahasiswa di Fakultas Teknik Universitas Mataram. Hasil pengujian memperoleh hasil sebesar 87.2% yang menunjukkan bahwa sistem informasi pengaduan mahasiswa Fakultas Teknik Universitas Mataram dapat dikatakan baik.

PEMBUATAN SISTEM ABSENSI SIDIK JARI LABORATORIUM PROGRAM STUDI TEKNIK INFORMATIKA UNRAM BERBASIS INTERNET OF THINGS

Muhammad Lanang Agung Anggoro, Andy Hidayat Jatmika, Raphael Bianco Huwae — Mon, 30 Sep 2024 08:54:20 +0800

Penelitian ini bertujuan merancang dan membangun alat absensi berbasis IoT (Internet of Things) dengan sensor sidik jari dan Arduino Uno di Laboratorium Teknik Informatika, Universitas Mataram. Sistem ini dikembangkan untuk meningkatkan efisiensi dan akurasi pencatatan kehadiran mahasiswa dan staf. Menggunakan teknologi sidik jari, sistem ini lebih aman dan dapat diandalkan dibandingkan QR Code. Data absensi dikumpulkan secara real-time dan disimpan dalam sistem, memungkinkan pemantauan yang mudah oleh admin laboratorium. Model absensi ini mengidentifikasi pengguna melalui sensor sidik jari yang mencatat waktu kehadiran dalam database. Data absensi otomatis diunggah ke server untuk akses real-time oleh administrator. Hasil pengujian menunjukkan sistem beroperasi dengan baik. Dari 10 percobaan, sistem berhasil melakukan absensi dengan baik. Dari uji coba selama 3 hari (25-27 Juni) dengan 34 responden, hasilnya: 0% sangat tidak setuju, 2.06% tidak setuju, 15.87% netral, 30.37% setuju, dan 51.75% sangat setuju. Kesimpulannya, sistem bekerja dengan baik dan diharapkan dapat meningkatkan pengelolaan absensi dan manajemen laboratorium, serta menjadi model bagi pengembangan sistem di lingkungan akademik. Sistem absensi sidik jari berbasis IoT ini diharapkan memberikan solusi efisien, aman, dan akurat dalam pencatatan kehadiran, mendukung kegiatan akademik dan manajemen laboratorium.

RANCANG BANGUN SISTEM INFORMASI “OBATPEDIA” SEBAGAI MEDIA EDUKASI TENTANG OBAT-OBATAN BERBASIS WEBSITE

Muhammad Ainur Rizki, Santi Ika Murpratiwi, Sri Endang Anjarwani — Mon, 30 Sep 2024 09:15:59 +0800

Today, the ease of obtaining medicines for the public has improved significantly thanks to developments in technology and healthcare infrastructure. Access to medicines has become easier through pharmacies. A survey of 35 community members in Lombok, West Nusa Tenggara showed that 85.3% stored medicines without doctor's instructions and needed education on the proper use of medicines. A survey of 23 pharmacists also showed that 95.5% of pharmacists need a drug education platform that makes it easier for them to provide drug education. Departing from the problem of the lack of public understanding of medicines and the need for pharmacists to provide drug education easily, this study aims to design and build an information system, “ObatPedia,” as an educational media about website-based medicines. The method used is Personal Extreme Programming (PXP) because this website will be developed flexibly, quickly, and responsive to change. In this method, some stages are passed, including Planning, Iteration, Initialization, Design, Implementation, and Testing, so the website can be developed with the expected features and usability. The results Mean opinion score of this system a Mean Opinion score of 4.345 from the public and 4.472 from pharmacists on a scale of 1 to 5, which shows that users strongly agree that the ObatPedia website can help to increase public knowledge and understanding of medicines.

RANCANG BANGUN USER INTERFACE DAN USER EXPERIENCE APLIKASI SEMBAKO BERBASIS WEB PADA TOKO G-STAR MENGGUNAKAN METODE HUMAN CENTERED DESIGN

Rudolf Rumbiak, Royana Afwani, Budi Irmawati — Mon, 30 Sep 2024 10:14:11 +0800

The advancement of information and communication technology (ICT) has notably impacted various sectors, including trade. For grocery stores, effective User Interface (UI) and User Experience (UX) design are vital to ensure technology is user-friendly across different groups. This research applies the Human-Centered Design (HCD) method to develop the UI and UX for the G-Star grocery store web application, focusing on user needs, preferences, and contexts to create an intuitive interface. The research process includes stages such as user needs analysis, prototype design, usability testing, and iterative design based on feedback. Initially, user needs were identified through interviews and surveys, which guided the creation of application prototypes. These prototypes were then tested for usability, and feedback was used to refine and improve the design. The findings demonstrate that HCD principles enhance UI and UX, leading to higher customer satisfaction and loyalty. Implementing HCD improves user efficiency and convenience, contributing positively to the G-Star grocery store's performance. This research provides valuable insights for technology development in the grocery sector and offers practical guidance for designers and developers, encouraging the use of HCD in similar projects.

PERANCANGAN UI/UX PADA APLIKASI WISATA LOMBOK MENGGUNAKAN METODE USER CENTERED DESIGN

Lalu Anugerah Wira Anggardika, Mohammad Ali Albar, Royana Afwani — Mon, 30 Sep 2024 10:28:12 +0800

This study investigates the application of User-Centered Design (UCD) principles in the design UI/UX for the mobile tourism application, 'Wisata Lombok.' The research aims to demonstrate how UCD can significantly improve user interface (UI) and user experience (UX) in context-specific applications. The methodology employed a multi-phase approach, including user research, persona development, iterative design. Data was collected through interviews with local and tourists, online surveys with Lombok residents, and on-site observations. This information guided the creation of user personas and informed the application's feature set and design decisions. Key findings reveal that incorporating local cultural elements into the UI design enhanced user engagement. The implementation of features like maps and cultural event calendars. Usability testing was carried out using an online questionnaire using the UEQ method. The UEQ contains 26 questions which structured in the form of a semantic differential, where each word consists of two terms expressing opposite meanings. The form was distributed to 35 respondents. All of the 35 respondents, 16 identified as male and 19 as female. The age distribution indicates that 29 respondents are within the 18-35 years old range, while 6 respondents are within the 35-56 years old. The UEQ result shows that the perspicuity and efficiency scale has the highest values, 2.29 and 1.96, falling within the “Excellent” range, indicating that the respondents didn't find any difficulties in operating the user interface. The attractiveness, dependability, and novelty scale fall within the “above average” value, indicating that the user interface was based on respondent needs. The stimulation scale has the least value 0.44 which fall within “bad” value , which means that the respondents was bored cause the user interface only has a few features.

SISTEM REKOMENDASI KEBUTUHAN NUTRISI MAKANAN PENDAMPING AIR SUSU IBU (MPASI) MENGGUNAKAN METODE FUZZY TAHANI SEBAGAI UPAYA PENCEGAHAN STUNTING

Zahwa Diah A.P, Mustarum Musaruddin, Rizal Adi Saputra — Mon, 30 Sep 2024 17:32:20 +0800

Stunting is a significant child health issue in Indonesia, where children experience impaired growth, resulting in weight and height below their age average. In 2022, the World Health Organization (WHO) and the Indonesian Nutrition Status Survey (SSGI) reported a stunting prevalence of 21.6%, exceeding the WHO target of 20%. Stunting is caused by chronic malnutrition from pregnancy through the first thousand days of life, a crucial period for brain and cognitive development. Proper complementary feeding (MPASI) after 6 months is essential to meet infants' nutritional needs and prevent developmental delays in children under two. This study aims to develop a mobile web-based system that recommends MPASI according to infants' nutritional needs using the Fuzzy Tahani method. This method was chosen for its ability to handle uncertainty and provide personalized solutions. The developed system achieved 94.5% accuracy, with a precision of 33.1%, recall of 27.4%, and specificity of 85.9%. The system met the research objectives despite lower precision and recall due to imbalanced training data. User Acceptance Testing (UAT) results indicated that 77.73% of users strongly agreed with the system, while 1.86% disagreed. This system is expected to assist in preventing stunting by providing more accurate MPASI recommendations tailored to each infant's needs.

AUDIT DAN ANALISIS WEBSITE PEMERINTAH MENGGUNAKAN PENGUJIAN PENETRASI SQL INJECTION DAN CROSS SITE SCRIPTING (XSS)

Nugroho Agung Prasetiyo, Raphael Bianco Huwae, Andy Hidayat Jatmika — Mon, 30 Sep 2024 00:00:00 +0800

This study aims to analyze the security of government websites, focusing on vulnerabilities caused by SQL Injection and Cross Site Scripting (XSS) attacks. In accordance with Presidential Instruction No. 3 of 2003 on National Policy and Strategy for E-Government Development, government agencies are required to provide digital services through official websites. However, this increase in digitalization presents challenges in the context of cybersecurity. The research applies penetration testing methods to several government websites in East Java, using the OWASP Top 10 as the primary guide. The results reveal that many government websites are vulnerable to SQL Injection and XSS attacks, which could lead to data theft and information manipulation. Recommendations for enhancing security include implementing input validation techniques and regularly updating software. This research contributes to raising cybersecurity awareness in the governmental sector.

SISTEM INFORMASI E-KATALOG PERPUSTAKAAN MUSEUM NEGERI NUSA TENGGARA BARAT BERBASIS WEBSITE

Uswatul Ulya, Santi Ika Murpratiwi, Salsabila Luqyana — Mon, 30 Sep 2024 20:21:33 +0800

Library digitalization has become increasingly important in the era of information technology development. Digitalization enables libraries to provide easier and more efficient access to various information sources. This study proposes to design and construct an online e-catalog information system for the Nusa Tenggara Barat State Museum Library, which currently relies on manual book searches. The waterfall model was the software development methodology utilized in this study. This research is designed to facilitate library data management and assist visitors in finding the books they need. The implementation of this system includes features such as sign-in, dashboard, profile, services, and catalog. The testing results demonstrate that the system is intuitive, offers comprehensive information, and all functionalities function as intended. In conclusion, this e-catalog information system successfully improves the effectiveness of library services and simplifies book data management.

EAR DISEASE CLASIFICATION USING DEEP LEARNING WITH XCEPTION AND MOBILENET-V2 ARCHITECTURE

Lalu Rudi Setiawan, I Gede Pasek Suta Wijaya, Fitri Bimantoro — Mon, 30 Sep 2024 20:37:14 +0800

Hearing loss is a significant global health problem, with a high prevalence in Indonesia. Limited access to ENT specialists, especially in remote areas, causes delays in diagnosis and treatment of ear diseases. This research aims to develop an early diagnosis system for ear diseases using deep learning. The proposed method applies Xception and MobileNet-V2 Convolutional Neural Network (CNN) architecture with hyperparameter optimization using Bayesian Optimizer. The dataset consists of 1,101 images covering 20 types of ear diseases, collected using an endoscope ear cleaning kit at Mataram University Hospital. The dataset was divided into 60% training data, 20% validation data, and 20% test data. Xception recorded the best performance with accuracy, precision, recall, and f1-score of 0.911, 0.166, 0.166, and 0.151, respectively. The best model performance was obtained on MobileNet-V2 with the application of Bayesian Optimizer, resulting in the best hyperparameters at Unit Dense 174, Dropout Rate 0.2, and LXceptionearning Rate 0.003. This scenario resulted in an increase in accuracy, precision, recall, and f1-score compared to the scenario without hyperparameter search of 0.004, 0.010, 0.018, and 0.012, respectively. This research demonstrates the potential of deep learning in improving early diagnosis of ear diseases.

SISTEM INFORMASI MEDIA PROMOSI DAN PEMBELAJARAN KELOMPOK TARUNA TANI AULIA

Rama Indrawan, Nadiyasari Agitha, Dwi Ratnasari — Mon, 30 Sep 2024 20:50:39 +0800

This research focuses on the challenges faced by the Taruna Tani Aulia group in educating farmers about the transition from chemical fertilizers to organic fertilizers. Many farmers find the process of producing organic fertilizers complex and time-consuming, making them reluctant to switch. To address this issue, this study developed an information system that serves as both a promotional tool and a learning platform, facilitating the dissemination of information on the benefits of organic fertilizers and promoting organic fertilizer products sold by Taruna Tani Aulia. The system was developed using the Prototyping Method, allowing for iterative testing and evaluation with direct user feedback. The system was built using the Next.js framework to streamline the development process. The results of testing using the Mean Opinion Score indicated a high level of user acceptance, with a User Acceptance Test score of 87.8%. This suggests that the system is feasible and effective in supporting the promotion and education of organic fertilizers. In conclusion, this information system can help farmers more easily understand and adopt organic farming practices, as well as simplify their access to purchasing organic fertilizers without the need to produce them independently.