ANALISIS PERBANDINGAN PENGALAMAN PENGGUNA PADA APLIKASI KOMIKU DAN MANGA PLUS…

Technological developments have spurred society into a new era, where almost the entire community has been influenced by various needs electronically. One of the technological developments known to the public is digital comics, including Komiku and Manga Plus. These two applications have a variety of good reviews and disadvantages of each application. An important aspect that must be considered…

PENGUKURAN USABILITY PADA APLIKASI BINMAS ONLINE SYSTEM VERSI 2 (BOS V2) MENG…

This study measures the usability of the Binmas Online System Version 2 (BOS V2) application using the System Usability Scale (SUS) method at Jambi Regional Police. With an SUS score of 51.6 (poor category, grade D), the application demonstrated low effectiveness, efficiency and user satisfaction. Findings also indicated the application was in the detractor classification in Net Promoter Score …

SISTEM INFORMASI MANAJEMEN

Edition

2

ISBN/ISSN

979-526-493-2

Collation

xii, 132 hlm. ; 23 cm

Series Title

-

Call Number

658.403 801 Sia s

WINDOWS 7 Quick Reference

-

Sistem Operasi Edisi 2

Edition

2

ISBN/ISSN

979-3289-12-0

Collation

xii, 208 hlm,; ill.; 24 cm

Series Title

-

Call Number

005.268 Kus s

Biologi EKOSISTEM PESISIR dan LAUT

Edition

-

ISBN/ISSN

978-602-5876-84-4 P

Collation

xiv, 128 hlm. ; 24 cm

Series Title

-

Call Number

574 Sus b

ANALISIS PENERIMAAN PENGGUNAAN TEKNOLOGI PADA PENGGUNA APLIKASI OJEK INDRALAY…

Technology Acceptance Model is a technology system acceptance model used in this study by using the variables Perceived Usefulness, Perceived Ease to Use, Behavioral Intention, Attitude Toward Using, and Actual System Usage. This study aims to examine the effect of five variables on the application of Ojek Indralaya or Ojin. Ojin is a means application to facilitate the search for transportatio…

KOMPOSISI DAN KELIMPAHAN DIATOM BENTIK PADA EKOSISTEM MANGROVE DI SEKITAR PEL…

ABSTRAK ANDI WIJAYA. 08051181823011. Komposisi Dan Kelimpahan Diatom Bentik Pada Ekosistem Mangrove Di Sekitar Pelabuhan Tanjung Api-Api, Kabupaten Banyuasin, Sumatera Selatan. (Pembimbing : Dr. Riris Aryawati, ST, M.Si dan T. Zia Ulqdory, ST., M.Si., Ph.D). Kawasan ekosistem mangrove di sekitar Pelabuhan Tanjung Api-Api di Kabupaten Banyuasin, Provinsi Sumatra Selatan terdapat banyak akitivita…

 IMPLEMENTASI KENDALI LOGIKA FUZZY PADA PURWARUPA PENDETEKSI KEBAKARAN DALAM…

Fire is one of the disasters that most people worry about, especially indoor fires in office buildings, hospitals, shopping centers or housing, because in addition to possibly causing material losses, fires can also cause casualties. Therefore, to overcome this, we need a tool and system that can detect the possibility of a fire in the room. In this study, several sensors will be used, includin…

SISTEM PENDETEKSIAN PENYAKIT PNEUMONIA PADA CITRA RONTGEN DADA MENGGUNAKAN ME…

Pneumonia is one of the lung diseases that is often identified through chest X-ray images, but manual diagnosis requires high time and skill. Therefore, this study aims to improve the efficiency and accuracy of pneumonia diagnosis through the application of deep learning technology. The CNN method was chosen due to its ability to automatically extract features from medical images. RetinaNet, as…

EVALUASI PROSES BISNIS PENGAJUAN SERTIFIKASI HALAL PRODUK DENGAN METODE BUSIN…

This research discusses recommendations for the business process of applying for regular halal certification using the Business Process Improvement (BPI) method as a consideration for the Halal Product Guarantee Agency (BPJPH), the Halal Examining Agency (LPH), and the Indonesian Ulema Council (MUI) in improving Standard Operating Procedures (SOP). In the current business process, there are 4 m…

OPTIMALISASI MULTI-CLASSIFICATION SERANGAN CYBER MENGGUNAKAN METODE K-NEAREST…

Cyber attacks are a form of threat aimed at stealing, damaging, or altering important data within computer systems or networks. These attacks include hacking, phishing, and malware. Detecting cyber attacks is crucial to maintaining the security of information systems from increasing threats. One tool used for threat detection is Intrusion Detection Systems (IDS), which monitor system events and…

PENERAPAN METODE HYBRID CNN-LSTM DALAM SISTEM DETEKSI MULTI CLASSIFICATION CY…

In the rapid development of technology, System and Network Security is very important in the ecosystem of digital communication environments. Machine Learning techniques can be used to solve this problem. This research discusses the Machine Learning model to detect Cyber Attack using the Hybrid CNN-LSTM method. In its implementation, CNN is used to select characteristic features from the input …

SISTEM DETEKSI MULTI-CLASSIFICATION SERANGAN CYBER MENGGUNAKAN METODE DEEP LE…

Cyber attacks have become an increasing threat to the security of modern information systems. To overcome the complexity and diversity of attacks that occur, a sophisticated and reliable detection approach is needed. In this research, we propose a multi-classification cyber attack detection system that adopts the Deep Learning Convolutional Neural Network (CNN) method. CNNs have proven effectiv…

CLUSTERING ARTIKEL ILMIAH BERBAHASA INDONESIA MENGGUNAKAN ALGORITMA PARTITION…

A scientific article is a type of written work by a researcher after successfully conducting research in a particular field, which is arranged systematically based on writing rules. Each scientific article contains important information from various scientific fields, one of which is computer science. In this research, an automatic clustering software for scientific articles in Indonesian was b…

PERBANDINGAN PERFORMA EVENT-DRIVEN MICROSERVICE DENGAN POLA EVENT NOTIFICATIO…

A software system can be said to be functional if it can handle user requests quickly and correctly. As the number of users on the system increases, there is a certain limit to which the system can handle the processed requests. Microservice is an architecture designed to cope with high usage, because it is designed to divide the user request process into smaller focuses. Event-driven is one of…

KLASIFIKASI JUDUL BERITA HOAX MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)…

In recent years, the spread of fake news or hoaxes has become a serious problem that can influence public opinion. Therefore, this research aims to determine the performance of the Support Vector Machine (SVM) and Synthetic Minority Oversampling Technique (SMOTE) algorithms for classifying. The Support Vector Machine (SVM) approach was chosen because of its ability to handle classification prob…

PERBANDINGAN EVALUASI USER EXPERIENCE LAYANAN APLIKASI SHOPEEPAY DAN GOPAY ME…

Currently, the pace of development of information technology is very rapid and fast, including in Indonesia itself. It is also influential in the world of finance, which is currently known as a digital wallet. With the implementation of this digital wallet, people's lives have become more convenient, including being able to order transportation, order food, pay for groceries, and much more just…

ANALISIS PERBANDINGAN USER EXPERIENCE PADA APLIKASI SPOTIFY DAN APPLE MUSIC M…

The way people listen to music with the changing times is changing from conventional to digital. Spotify and Apple Music are among the most popular music streaming apps in Indonesia. Based on data on the percentage of the most frequently used music streaming apps, Spotify has a percentage of 17.52% and Apple Music has 1.63%. Spotify has a rating of 4.4 with 28 million reviews, while Apple Music…

SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA GURU SMK YPIP PENDOPO MENGGUNAKA…

In this study, the Profile Matching method was used to assess teacher performance. The existing data is historical data on teacher performance assessment in the form of documents. The stage carried out is to compare the GAP difference value from each criterion and sub-criteria value. In this study, the Profile Matching method was used to assess teacher performance. The existing data is historic…

KEYPHRASE EXTRACTION MENGGUNAKAN PRETRAINED LANGUAGE MODEL ROBERTA DAN POSITI…

Searching for the desired scientific journal from the many published journals is currently a challenge for researchers because it takes a lot of time. Therefore, the use of keyphrases or keywords that represent the content of scientific journals is needed as a solution to save search time. The keyphrase extraction process is carried out to obtain relevant keyphrases. One of the keyphrase extrac…

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS WEBSITE UNIVERSITAS MELALUI…

Technological developments have significantly changed the way we interact and access information. One aspect that is affected is website use. Websites have become the main means for individuals, organizations and institutions to communicate, share information and carry out various online activities. Sriwijaya University as an institution certainly has a website which is a virtual gateway for st…

DETEKSI EXPLOIT REVERSE TCP DARI APK TROJAN PADA NETWORK TRAFFIC DENGAN METOD…

Android menjadi OS paling populer pada perangkat mobile membuatnya menjadi target utama threat actor dalam membuat malware. Beberapa penelitian menunjukkan bahwa deteksi malware pada perangkat mobile dapat dilakukan dengan bantuan Machine Learning. Penelitian yang dilakukan penulis memiliki tujuan dalam mendeteksi eksploit reverse TCP pada network traffic dengan metode Random Forest. Deteksi ya…

SISTEM PENYIRAMAN OTOMATIS PADA TANAMAN SELADA (LACTUCA SATIVA L) BERDASARKAN…

Watering plants is a tedious thing and is often forgotten by both households and farmers, while plants really need enough water to grow. Seeing these conditions, researchers designed an automation tool that can water plants at a specified time based on environmental temperature and soil moisture. An automatic system designed using an Arduino UNO microcontroller as the main control, Soil Moistur…

VISUALISASI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE K-MEANS

K-Means clustering is a tool used to determine the cluster structure of a dataset identified by its strong similarity to other clusters or its strong difference from other clusters. In another paper, it is stated that the working method of the K-Means algorithm requires the use of centroids as cluster prototypes and previous cluster results as its output. The dataset originates from the COMNETS…

DETEKSI KEPADATAN KENDARAAN MENGGUNAKAN METODE K-NEAREST NEIGHBOR DIOPTIMASI …

Growth factors such as economic, social, political, and cultural developments have become one of the traffic problems in Palembang City that has caused the occurrence of traffic density. To avoid getting stuck in traffic density, it is necessary to detect the density of the vehicle. The study uses the Closed-Circuit Television (CCTV) version of Pan, Tilt, and Zoom (PTZ) that can record various …

DETEKSI SERANGAN SQL INJECTION MENGGUNAKAN DEEP NEURAL NETWORKS

SQL Injection has been classified by OWASP (Open Web Application Security Project) as one of the most damaging attacks in the past 15 years. This research aims to develop an IDS (Intrusion Detection System) capable of detecting SQL Injection attacks through HTTP POST Requests. The study employs a neural network-based computational model known as DNN (Deep Neural Networks), using tabular data th…

MENGUKUR KINERJA CLUSTERING MENGGUNAKAN ALGORITMA K-MEANS DAN K-MEDOIDS DENGA…

Clustering is one of the most widely used techniques in data processing that can be used to find patterns and characteristics in data. K-Means and K-Medoids are the most widely used clustering algorithms because they are simple, easy to implement, and relatively fast. Although proven to have good performance with high accuracy and efficiency for large data, previous studies have shown differenc…

SISTEM TRANSPORTASI PINTAR MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK YANG …

Traffic congestion is always a primary concern in transportation issues, and it continues to pose challenges in daily activities. To address this problem, a system that can detect vehicle density levels is needed. In this research, the latest technology, such as image-based methods using CCTV camera sensors to monitor multiple roadways simultaneously, is employed with the aim of enhancing the v…

PREDIKSI PERTUMBUHAN BERAT IKAN LELE DALAM BUDIDAYA AKUAKULTUR DENGAN MENGGUN…

The weight growth of fish is a fundamental aspect of aquaculture, serving as a pivotal indicator of feeding efficacy and pond environmental management. This study aims to develop a predictive model for the growth of catfish weight using the Random Forest Regression algorithm approach. The research method involves the utilization of a dataset comprising environmental parameters such as temperatu…