Jurnal Informatika: Jurnal Pengembangan IT
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Implementasi Algoritma Floyd Warshall Pada Aplikasi Dewan Masjid Indonesia (Dmi) Kota Semarang Untuk Menentukan Masjid Terdekat
No full textLocation Based Service (LBS) is a service on smartphones that functions as a navigation device based on the user's position to determine the location where the user is. LBS utilizes GPS capabilities in finding geolocation information and sometimes using Google maps to display a complete map of the location. But the results of previous research studies Google Map does not give shortest and accessible routes. Furthermore, to improve work of LBS, Floyd Warshall algorithm is used because the algorithm has the principle of optimality in calculating the total of all routes optimally. According to data recorded by the Ministry of Religion of the Republic of Indonesia there have been 1,304 Mosques in the City of Semarang, but with this much data it should be easier to find places of worship for Muslims. Most mosques that are visited are mosques on the highway because it is more visible even though there are many other mosques that can be accessed. By using the White Box and Black Box tests, finding shortest path to find places of worship in the city of Semarang can be given accurately. The result was the Floyd Warshall algorithm could provide shortest path route and it was more accessible better than Google Map navigation
Sistem Diagnosa Penyakit Liver Menggunakan Metode Artificial Neural Network: Studi Berdasarkan Dataset Indian Liver Patient Dataset
No full textPenyakit Hati atau liver merupakan penyakit yang menyerang organ hati pada manusia dimana organ hati berfungsi dalam pengelolaan kolesterol atau lemak pada tubuh. Dampak yang diberikan oleh penyakit liver ini berbeda-beda tergantung pada tingkat keparahan dan respons pengobatan yang dilakukan oleh individu. Oleh karena itu, pengembangan sistem prediksi penyakit liver menjadi relevan dan bermanfaat dalam membantu dokter dan tenaga medis untuk mengambil tindakan yang tepat secara lebih cepat. Untuk dapat mengembangkan sistem ini maka dapat dilakukan dengan menggunakan metode Artificial Neural Network (ANN). Tujuan dilakukan klasifikasi ini adalah untuk membantu mengetahui keakuratan model ANN dalam mengklasifikasi dataset penyakit liver. Menggunakan metode tersebut dataset dibagi menjadi 3 tahapan yaitu preprocessing data, pemrosesan data, dan evaluasi data. Preprocessing data dilakukan perbaikan terhadap dataset dan melakukan split data sehingga dihasilkan dataset baru. Pada pemrosesan data dilakukan penentuan hidden layer, model aktivasi, dan normalisasi pada model. Pada tahap terakhir yaitu evaluasi dataset, terdapat nilai akurasi, confusion matrix, dan classification report. Pada model ini didapatkan sebuah prediksi true negatif 70, true positif 14, false negatif 16, dan false positif 17. Dengan menggunakan model ini didapatkan hasil akurasi 71,79% yang menandakan bahwa model baik dalam melakukan klasifikasi pada dataset
Sentimen Analisis Pandangan Masyarakat Terhadap Vaksinasi Covid 19 Menggunakan K-Nearest Neighbors
No full textAbstrak - Pandemi covid 19 yang terjadi sangat meresahkan masyarakat. Banyak masyarakat yang terpapar maupun kehilangan keluarga mereka karena virus ini. Untuk mencegah semakin menyebarnya virus covid 19, pemerintah menyelenggarakan program vaksinasi. Program vaksinasi yang dilakukan menuai pro dan kontra dari masyarakat. Berdasarkan permasalahan tersebut, maka dalam penelitian ini akan melakukan proses klasifikasi pandangan masyarakat terhadap vaksinasi Covid 19. Data penelitian yang digunakan diambil dari twitter sebanyak 2241 data. Data akan diklasifikasikan menjadi 2 kelas yaitu positif dan negatif. Proses klasifikasi akan dilakukan dengan menggunakan metode K-Nearest Neighbors (KNN). Tahapan pertama yang dilakukan adalah pengambilan data dari twitter, pelabelan data, preprocesing data di phyton, pembobotan TF-IDF, pembuatan model, pengujian model dan evaluasi model. Dari penelitian ini didapatkan akurasi terbaik sebesar 79,25% dengan menggunakan parameter K-Fold 10 dan KNN 5
Deteksi Penyakit Tanaman Cabai Menggunakan Algoritma YOLOv5 Dengan Variasi Pembagian Data
No full textRapid technological developments have resulted in various innovative techniques that help humans, including object detection which functions to identify each element in an image. Object detection is often used to overcome problems that occur because of its ability to identify each element in the image. One of the problems that is often encountered is a decrease in agricultural income due to disease in chili plants. The maintenance of chili plants has various obstacles including the impact of weather which causes the development of diseases and pests so that chili production has decreased. By implementing the object detection, farmers can easily identify diseases that attack chili plants through pictures so that chili disease can be treated more quickly. This study uses the YOLOv5 algorithm to test the performance of the model in identifying diseases in chili plants. Pictures were taken using a cellphone camera with dimensions of 3472x3472 pixels. The amount of image data used is 430 data. Image data is divided into 3 parts, namely train data, validation data, and test data. To get the best model, this study also conducted three experiments with different distribution of data. Experiment 1 with a division of 70:20:10, experiment 2 with a division of 75:15:10, and experiment 3 with a division of 80:10:10. From the experiments carried out, the best results were obtained, namely in experiment 3 with an average value obtained in the test of 0.947 with a translation of the precision, recall, and mAP values, namely 0.946, 0.936, and 0.959 respectively
ANALISIS PERFORMANSI SUPPLY CHAIN PADA PRODUK SEPATU FLAT SHOES MENGGUNAKAN MODEL SCOR
No full textThe performance measure of a service cannot be in form and does not result in ownership. Service itself is a form of activity carried out by one or more people, and also is agility (intangible and affected by previous sales). So the services purchased by customers cannot be counted, measured or stored to determine the quality of their services. One of the shoe sales industries is Toko XYZ, this shoe store is one of the largest brands in the archipelago. The prices offered on the national and international market are quite cheap. In order to improve a strategy so that many consumers visit XYZ shoe stores, and for XYZ it is possible to achieve the expected targets with integrated marketing. Data collection in this study consists of 2 steps, namely preparation, this stage is carried out before conducting research such as looking for references on the internet, theoretical foundations that support research such as SCOR model theory and journals. Furthermore, with the contents of the questionnaire compiled to represent the dimensions of service performance quality. The conclusion of the study is that the statement attributes expected by the customer through the SCOR Model method are positive
Penyesuaian Model Ketahanan Siber Umkm Di Indonesia Dengan Nist Cybersecurity Framework
No full textArtikel ini menyelaraskan dengan penyesuaian kerangka kerja model ketahanan siber dari NIST Cybersecurity Framework (NIST-CSF) dengan penambahan aspek kesadaran dan kewaspadaan yang terhubung melalui aspek resistensi untuk mencapai ketahanan siber bagi UMKM yang saat ini rentan terhadap berbagai serangan siber. Khususnya, dalam proses tranformasi digital bisnis proses usahanya. Metodologi penelitian ini bersifat analisis deskriptif berbasis kualitatif, guna mengeksplorasi hasil secara intuitif dengan struktur sistematik dalam merekonstruksi pandangan inovatif guna menjawab tantangan pengembangannya. Hasil dalam pembahasan kajian ini adalah rekonstruksi model keamanan siber yang merupakan sebuah tema besar dengan prinsip-prinsip strategis dalam upaya harmonisasi resistensi serangan dengan ketahan Siber. Hal ini dapat membantu organisasi seperti UMKM untuk mengidentifikasi, menilai, dan mengurangi ancaman dalam dunia siber secara komprehensif dan berkelanjutan
Desain dan Analisis Sistem CyberShare Menggunakan Four Node Interplanetary File System (IPFS)
No full textCybersecurity information sharing is a proactive and collaborative measure in enhancing organizational security by exchanging cybersecurity information using a centralized repository service. However, in practice, the use of centralized services poses a threat to distributed denial-of-service (DDoS) attacks which can result in system failure and cause single point of failure as well as man-in-the-middle (MITM) attacks which can result in modification of information and theft of exchanged information. This threat results in a lack of user confidence in the confidentiality, integrity, and availability of information. This study proposes the design of a secure cybersecurity information sharing (CyberShare) system using a private interplanetary file system (IPFS) network as a decentralized information storage. Unlike centralized storage which only has a single-node, CyberShare systems use four-node IPFS interconnected with swarm keys as authentication keys. This system allows users to store and share information from the sender to the recipient of information, avoiding dependence on a central server and reducing server load. The results of the analysis show that the proposed CyberShare system can guarantee the confidentiality, integrity, and availability of cyber security information. CyberShare systems can enhance the security of the information exchanged so that organizations can safely share and utilize cybersecurity information
Embedded Wids Kismet Sebagai Perangkat Deteksi Serangan Data Link Layer Wi-Fi Access Point
No full textThe rapid development of wireless network technology has an impact with a significant increase of users. Wi-Fi is one of the wireless technologies that is currently used widely by humans as a medium of transmission to exchange information. The increasing in the number of users is directly proportional to the increase the risk of crime occurring. In this case an attack on a Wi-Fi network aimed at taking certain advantage of the user or it’s victim was done by threatening aspects of information security. Wireless Intrusion Detection System (WIDS) is a tool used to detect intrusions that occur against wireless network technology, one of it is Wi-Fi into the form of logs. Kismet is one of the wids that is free and opensource with complete WiFi attack detection capability. The implementation of WIDS Kismet applied to Raspberry Pi 4 was shown as an alternative wids device that has a low cost for use in small Wi-Fi network environments such as home networks or small enterprise. The analysis is done by calculating the performance of accuracy, precision, recall, and f-measure values from the implementation results using confusion matrix method. The result of the calculation obtained by the highest value for each calculated performance with 99.83% accuracy, 97.96% precision, 100% recall, and 98.9% fmeasure. The calculation aims to provide information that can be utilized for users who want to do a similar implementation and use it to detect Wi-Fi networks.
Perangkingan Pegawai Untuk Menentukan Penerima Bonus Akhir Tahun Menggunakan Teknik ELECTRE Pada BPR Rasyid
No full textEmployee rankings can be done for various needs, one of which relates to year-end bonuses. So far, the awarding of year-end bonuses to research objects has only relied on one criterion, namely targets and achievements. In fact, there are many other indicators that can be assessed, such as attendance, discipline, communication style, cooperation, and initiative. This study aims to provide an alternative computation-based employee ranking method with multi-attribute decision making (MADM). The Elimination and Choice Translation of Reality (ELECTRE) technique is used in research to rank employee data based on their attribute values. The results of the study show that, of the ten employees assessed, four alternatives (employees) are recommended to be selected based on the results of a comparison of the dominant aggregate values. In this study, it can also be seen that alternative 6 (Alt-6) is the strongest alternative to be recommended for selection. Because alternative 6 (Alt-6) is not only better than alternatives 1, 4, 8, 9, and 10, but also better than alternative 3 (Alt-3) and alternative 4 (Alt-4). The order of the second, third, and fourth alternatives, respectively, are alternatives 5, 7, and 8. The recommendations of these four employees can be used as decision-making material for policymakers, given the need to award year-end bonuses
Implementasi Aplikasi Berbasis Mobile Untuk Pelayanan Jasa Kesehatan
No full textHealth is one of the important aspects of society's life. Karangampel Health Center is one of the health centers that provide public health services in general. There are several health services provided by the puskesmas including regular medical practices, specialist doctors practices, KIA service practices (Mother and Child Health), and KB service practices. Currently, the queue system at the puskesmas does not yet use the computerization so it is less effective. Many patients who have signed up complain because they don't know for sure the operational schedule at the health center. The purpose of this study was to build a mobile-based computerization application that contains information about the doctor's practice schedule, registering online, the patient's examination history, as well as submitting an online reference letter. The app also had a feature to get an ambulance call quickly. This research method includes observations and System Designers using Systems development of life cycle (SDLC) by the prototype method, and the creation of the system so that it produces a Mobile-based puskesmas information system. Applications are made, then the test is carried out using a black box. The test results result in a value of 80% so it shows that the application is worth usin