METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi

SISTEM PENDUKUNG KEPUTUSAN EVALUASI HASIL BELAJAR SISWA DI SMK PGRI 3 SIDOARJO MENGGUNAKAN METODE FUZZY AHP (ANALYTICAL HIERARCHY PROCESS)

Ahmad Husain Abiyyu, Lilis Widayanti — Tue, 31 Oct 2023 00:00:00 +0700

Evaluation of student learning outcomes have an important role for teachers in knowing students abilities and in determining how to guide students. However, in its application to vocational high school PGRI 3 Sidoarjo, the teachers have difficulty regarding the assessment system to evaluate students learning outcomes, the difficulty is in the ranking process. Vocational high school 3 Sidoarjo still used the old and manual systems so the result is that the time needed is inefficient time and made the teachers difficult in processing data. The decision support system of students learning result evaluation at vocational high school 3 Sidoarjo using AHP fuzzy method. The goal is to facilitate the teacher in the student ranking process. The process in this system is the admin inputing students data, classes and scores after that the admin determines the value of each criterion and sub-criterion, then the ranking process is based on class. This decision support system's output is the ranking of students' classes. Using the test results from 20 students, the old system and the new system will be compared. As the result, based on 20 students score data, there were incompatible data, the amount of data were 4 data, with a system accuracy rate of 80%. Unsuitable data due to the old system using 2 criterion while the new system using 5 criterion in ranking.

ANALISIS PERBANDINGAN PERFORMA VIRTUALISASI SERVER MENGGUNAKAN VMWARE ESXI, ORACLE VIRTUAL BOX, VMWARE WORKSTATION 16 DAN PROXMOX

Ridho Akbar Nuryadin, Tarisa A. Ramadhani, Jamilah Karaman, Muhammad Reza — Tue, 31 Oct 2023 00:00:00 +0700

In the era of advancing digitization, server infrastructure plays a key role in the development of applications and web services. To effectively and efficiently manage and develop virtualized servers, server virtualization techniques can be employed. There are several virtualization platforms available, such as VMware Workstation 16, VMware vSphere (ESXi), Oracle VirtualBox, and Proxmox, each with their own strengths and weaknesses. The objective of this research is to analyze the performance of these four virtualization platforms in developing and managing virtualized servers used for web services, taking into consideration response time, throughput, CPU performance, storage performance, and RAM performance. Experimental methods were used to test these four platforms and measure CPU performance, RAM performance, disk performance, throughput, and response time using Moodle benchmark. The data was then analyzed to draw conclusions about the performance of each platform. The research results show that VMware vSphere ESXi and Proxmox have better CPU performance and response time when handling multiple virtual machines, and are more efficient in disk and memory usage compared to VMware Workstation 16 and Oracle VirtualBox. Significant differences in data transfer speed were found among the four platforms. Overall, VMware vSphere ESXi and Proxmox can be considered better choices for running web servers.

PENGGUNAAN CLOUD COMPUTING DALAM PERANCANGAN APLIKASI MOBILE BERKONSEP GAMIFIKASI BERKEBUN

Adrianus Ragil Indrajaya Korbafo, Darsono Nababan, Risald Risald — Tue, 31 Oct 2023 00:00:00 +0700

Climate change causes an increase in global temperature, which results in rising sea levels and threatens many cities in the future, including Jakarta. Carbon emissions are the primary cause of climate change, which is difficult to reduce. Forests can act as a natural filter for carbon emissions, but deforestation still occurs for various reasons. The author and their team propose a solution by creating an application called "Eden" that uses gamification to encourage users to develop a habit of planting trees. This application encourages the public to participate in saving the earth from global warming and climate change by planting trees around their homes, which can filter some of the carbon emissions in their environment.

PENGEMBANGAN SISTEM INFORMASI UNTUK ADMINISTRASI LAYANAN SURAT DI KELURAHAN BUMIAJI

Suci Cahya Amalia, Yusuf Sulistyo Nugroho — Tue, 31 Oct 2023 00:00:00 +0700

One of the various types of written communication tools is a letter, which is divided into official letters and non-official letters. Official letters are used for formal purposes. However, the process of letter administration in Kelurahan Bumiaji, Kabupaten Sragen is still done conventionally, where people who need a letter have to come to the Kelurahan office and queue, which makes the process ineffective. The letter archiving process carried out by the Kelurahan office is also poorly organized. To overcome this problem, in this study, an information system for letter service administration based on a website was created for the Kelurahan Bumiaji office. The method used to develop the system is the software development life cycle (SDLC), with a waterfall process model. The result of this research is the creation of an information system that can assist the community in obtaining the letters needed and assisting in mail services by the Kelurahan Bumiaji. In addition, this information system also displays information such as announcements from Kelurahan and assets owned by the Kelurahan to the public. Black box testing shows that the system can function as it should, and SUS testing obtained an average score of 77.4 and a grade scale B+.

PENERAPAN DATA MINING MENGGUNAKAN METODE K-MEANS UNTUK PENENTUAN REWARD PELANGGAN

Sari Indah, Fati Gratianus Nafiri Larosa, Yolanda Y. P. Rumapea — Tue, 31 Oct 2023 00:00:00 +0700

UD. Penyubur Tani is a trading business that sells various kinds of needs for farmers in running their business in agriculture such as fertilizers, pesticides, seeds, and others. UD. Penyubur Tani wants to increase customer loyalty by giving rewards in the form of discounts so that its business is increasingly trusted and increasing, but in giving rewards to customers is still not effective, because UD. Penyubur Tani has difficulty in calculating one by one which customers whose frequency of purchases and total purchase price are most in the category of very loyal and loyal. Therefore, an application is needed to classify customers so that in determining strategies in building loyalty on target. By using the concept of CRM and the K-Means method, the results obtained from data processing are able to group customers who must be prioritized and can determine which customers deserve a reward. From 100 customer data, the K-Means Clustering method succeeded in grouping very loyal criteria by 8%, loyal 34% and potential by 58%.

ANALISIS USER EXPERIENCE PADA PLATFORM LINKEDIN MENGGUNAKAN METODE USER EXPERIENCE QUESTIONNAIRE

Siti Indriyana, Tasyifa Nafsiah Muthmainah, Azhari Ali Ridha — Tue, 31 Oct 2023 00:00:00 +0700

LinkedIn is the largest professional networking application in the world, classified as a social networking site (SNS) application. Indonesia is one of the countries with the highest number of active LinkedIn users. To ensure user comfort, LinkedIn regularly updates their application. However, recently there have been some negative ratings regarding the LinkedIn application. To directly assess this, a research study was conducted to determine user satisfaction while interacting with the features available on LinkedIn. This research was carried out using the user experience questionnaire method, with 35 respondents participating. This method consists of 26 questions representing six assessment indicators, including attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. The indicator with the highest score is stimulation, with a score of 1.48, which is categorized as good. On the other hand, the lowest indicator score is perspicuity, which only obtained a score of 0.79, below average. Overall, LinkedIn has received predominantly positive feedback. However, it is still recommended to continue innovating, especially focusing on improving perspicuity aspects that are tailored to the needs and issues faced by users.

MEDIA PEMBELAJARAN BAHASA ISYARAT DENGAN METODE MULTIMEDIA DEVELOPMENT LIFE CYCLE

Syamsumar Bustamin, Ibnu Mansyur Hamdani, Abri Hadi — Tue, 31 Oct 2023 00:00:00 +0700

Interactive learning media is one manifestation of the use of information and communication technology in the field of education. One part of the use of information technology is Augmented Reality, where the use of Augmented Reality in education is still lacking. Education is not only for those with normal physical abilities, but all people have the right to receive an education that is general, as well as children with special characteristics, such as deaf students who are at SLB Negeri 1 Palopo. Deaf students are students who have lost the ability to hear which hinders the process of language information through hearing, because of these limitations the teaching and learning process will become an obstacle, so other media are needed to visualize the alphabetic sign language code so that it can be learned easily and interactively. Augmented Reality is the right technology to overcome this. The implementation of Augmented Reality is used for Android mobile devices with the Multimedia Development life Cycle.

PENERAPAN METODE NAÏVE BAYES CLASSIFIER PADA SENTIMEN ANALISIS APLIKASI INVESTASI KEUANGAN DIGITAL

Jhon Vebrianto Girsang, Indra Kelana Jaya, Harlen Gilbert Simanullang — Tue, 31 Oct 2023 00:00:00 +0700

Investing online is a very promising opportunity. There are many online investment enthusiasts who do not understand how to invest online correctly and be able to minimize risk. Lack of public understanding of the investment implementation process can lead to fraud by irresponsible parties. So understanding investing online is very necessary. There are many online investment applications on the Google Play Store, but these investment applications have their own advantages and disadvantages. The objects of research are the applications of Bareksa and Seeds because the news media often report on these applications at the top and selecting an application requires a collection of information obtained from previous user reviews. The method used is the Naïve Bayes Classifier. Based on the results, the classification is divided into 3 (three) sentiments, namely positive, negative and neutral. With a comparison of training data and testing data 70%:30% accuracy in the Bareksa application was obtained 54% and 44% in the seed application.

IMPLEMENTASI SIMPLE ADDITIVE WEIGHTING DALAM PENENTUAN BIBIT JAGUNG VARIETAS UNGGUL DI WILAYAH LAHAN LAHAN KERING

Tue, 31 Oct 2023 00:00:00 +0700

Corn is a staple food source that is rich in carbohydrates. As a source of carbohydrates, some people consume corn as daily food. Determination of corn seeds is an aspect that needs to be considered by farmers before planting because inaccurate selection of seeds can cause unsatisfactory yields and cause farmers to suffer losses. Determination of corn seeds carried out by farmers in Nansean Village and East Nansean Village is still using a manual method by looking at the size of the large fruit and choosing from seeds that have a fast harvest time but will produce unsatisfactory yields which causes farmers to feel crop failure. So it is necessary to build a decision support system that can provide answers to problems using the Simple Additive Weighting (SAW) method. The capability of the system built can provide solutions in selecting superior corn seeds for farmers and the results are in the form of rankings. The system development model used in developing this system is the waterfall model. Based on the research results, the chosen alternative in this study was alternative A01, namely NASA 29 Hybrid Corn with a total value of 0.88.

IMPLEMENTASI API RESTFUL DENGAN JSON WEB TOKEN (JWT) PADA APLIKASI E-COMMERCE THRIFTY SHOP UNTUK OTENTIKASI DAN OTORISASI PENGGUNA

Ahmad Yahya Nashikhuddin, Jamilah Karaman, Yovi Litanianda — Tue, 31 Oct 2023 00:00:00 +0700

User authentication and authorization play a vital role in securing sensitive data within applications. E-commerce applications, in particular, require robust authentication and authorization methods to safeguard the confidentiality and integrity of exchanged data. JSON Web Token (JWT) has emerged as a popular authentication mechanism for securing data transmission over networks. This paper explores the implementation of JWT in a RESTful API to achieve user authentication and authorization in an E-commerce application. The objective of this study is to analyze the implementation of JWT in a RESTful API for user authentication and authorization within an E-commerce context. The detailed implementation of JWT in the Thrifty Shop application is discussed, encompassing its utilization for user authentication and authorization. Additionally, the benefits derived from employing JWT in the Thrifty Shop E-commerce application are explored. In conclusion, the implementation of JSON Web Token (JWT) in a RESTful API proves to be an effective approach for user authentication and authorization in E-commerce applications. The use of JWT ensures that only authenticated users gain access to sensitive data, thus enhancing the security of the Thrifty Shop E-commerce application. This implementation can serve as a model for other E-commerce applications seeking to bolster their security measures.

RANCANG BANGUN APLIKASI PENGENALAN WAJAH UNTUK SISTEM PRESENSI DI PRODI TEKNIK INFORMATIKA UNIVERSITAS ISLAM RADEN RAHMAT MALANG MENGGUNAKAN METODE LBPH DAN LIBRARY OPENCV BERBASIS ANDROID

Gresy Ayu Wulandari, Muhammad Sonhaji Akbar, Bila Nastiti Tasaufi — Tue, 31 Oct 2023 00:00:00 +0700

The attendance system is a mechanism to record the attendance of students in each class they take. The attendance system serves as evidence of students' presence in the learning process. In its journey, Universitas Islam Raden Rahmat has been using manual attendance through attendance journals in the learning process. However, with technological advancements, the attendance process has followed this trend, one of which is face recognition. In this research, the researcher designed a face recognition application for the attendance system that can be implemented on mobile platforms, especially Android. This application using the Local Binary Pattern Histogram (LBPH) method and the OpenCV library. The objective of this application is to enhance the flexibility and efficiency of the current attendance system by eliminating the need to repeatedly retrieve attendance forms, preventing fraud, and reducing paper usage. By using the waterfall system development method, testing showed a face recognition accuracy of 70%

PERANCANGAN MULTIMEDIA PEMBELAJARAN INTERAKTIF TEMA SELAMATKAN MAKHLUK HIDUP PADA MATA PELAJARAN IPA KELAS VI BERBASIS ANDROID

Yesualda Rogeria Kolo, Darsono Nababan, Yoseph P. K. Kelen, Budiman Baso — Tue, 31 Oct 2023 00:00:00 +0700

Technology is growing rapidly and has covered almost all areas of life, one of which is education. The learning process at Yaperna Tuamese Elementary School is still experiencing problems in providing learning media and dealing with students who are left behind in material due to illness or activities outside of school. The learning process only uses textbooks in front of the classroom with so few book packages, so students feel bored and lazy to study. So while the concentration on students must be directed specifically at science subjects. Through an Android-based interactive multimedia learning application, students can explore the material independently. The designed media includes text, images, audio, and video to help teachers prepare learning media and maintain students' attention and concentration on lessons. Rapid Application Development (RAD) with 4D mode is the configuration method used. Through the results that have been tested, users feel more interested and more easily understand material with interactive multimedia than those who are used to using textbooks.

MODEL BIDIRECTIONAL LSTM UNTUK PEMROSESAN SEKUENSIAL DATA TEKS SPAM

Tue, 31 Oct 2023 00:00:00 +0700

This study examines the LSTM-based model for processing spam in text data. Spam poses several dangers and risks, both for individuals and organizations. Spam can be a nuisance that hampers both individual and organizational productivity. Much spam contains fraudulent or phishing attempts to obtain sensitive information. Spam detection using deep learning involves the utilization of algorithms and deep neural network models to accurately classify messages as either spam or not spam. Typically, spam detection systems use a combination of these methods to improve the accuracy of identifying spam messages. This study applies the Bi-LSTM deep learning model to sequentially process text (sequencing). The performance of the model is determined based on the loss and accuracy. The data used are the Spam SMS and Spam Email datasets. The test results show that the Bi-LSTM model demonstrates better performance on all tested datasets. Bi-LSTM is able to capture textual patterns from both the context and the text itself, as it can combine information from both directions. The test results prove that the Bi-LSTM model is more effective in text comprehension.

So we need to use Snort to maintain network security. Snort is a useful software for observing activity in a computer network. Snort can be used as a lightweight Network Intrusion Detection System (NIDS). Detection is carried out based on the rules that have been described by the administrator in the directory rules contained in the configuration file. Snort can analyze real time alerts, where the mechanism for entering alerts can be in the form of a user syslog, file or through a database. So we can detect attacks on computer networks early.

APLIKASI DOUBLE DIFFERENCE UNTUK IDENTIFIKASI ZONA PATAHAN MIKRO WILAYAH SULAWESI BARAT

Suwardi Suwardi, Arko Djajadi, Tata Subrata, Laura Belani Nudiyah — Tue, 31 Oct 2023 00:00:00 +0700

West Sulawesi is an area in South Sulawesi province that is experiencing a sudden increase in seismic activity. There have been 264 earthquake events recorded during the 2021-2022 period. The increase in seismic activity occurred around the west Sulawesi segment and the Mamuju segment, which are local faults located in west Sulawesi. Sulawesi Island itself is the result of fragments due to larger complex reactions and has quite high seismic activity. Therefore, it is necessary to calculate the earthquake hypocenter relocation to obtain more accurate hypocenter parameters for fault zone identification and micro fault orientation. This study aims to relocate the earthquake hypocenter based on mathematical measurement data using the Double-Difference method for identification of fault zones and micro-fault orientation. The data used is BMKG earthquake catalog data for the western Sulawesi region with a range of 118.49 East - 119.59 East and 3.67 LS -2.45 LS in the 2021-2022 period. The Double-Difference method is a method based on the Geiger method using residual travel time data from each pair of hypocenters to the earthquake recording station. The principle is to compare two earthquake hypocenters that are close to the earthquake recording station with the assumption that the distance between the two hypocenters must be closer than the distance between the hypocenter and the earthquake recording station. This is done so that the raypath of the two hypocenters can be considered close to the same value. From the calculation of the earthquake hypocenter relocation, it was found that the hypocenter after relocation experienced changes in distribution that accumulated in the Mamasa fault segment area. From the residual histogram, it is found that the RMS residual is close to 0, indicating an improvement in data quality as evidenced by the observation travel time and the calculated travel time are almost close to the same value. In the cross-section results, it is obtained that the depth changes vary in the subsurface depth from the initial depth of 10 km before being relocated, indicating that the earthquake that occurred in West Sulawesi was included in the shallow crustal earthquake type.

APLIKASI SISTEM KEUANGAN DESA (SISKEUDES) DAN AKUNTABILITAS PENGELOLAAN KEUANGAN DESA

Putu Permana Bagiada, Miftahul Hadi — Tue, 31 Oct 2023 00:00:00 +0700

This study aims to analyze the implementation of the SISKEUDES application in Dangin Puri Kauh Village, whether it is in accordance with applicable regulations and theories, the benefits of the SISKEUDES application in village financial management, the constraints and obstacles encountered in its implementation and the internal controls applied. This study uses qualitative research techniques with interviews and literature studies. The results of the study show that the implementation of the SISKEUDES application in managing village funds in Dangin Puri Kauh Village is in accordance with applicable regulations, namely Permendagri Number 20 of 2018. The SISKEUDES application also has a role in accountability in managing village funds and managing village finances to become more efficient. The internal control of the SISKEUDES application is also considered quite good. In the implementation in the field there are still obstacles such as slow applications when operating, server down, and other obstacles.

ANALYSIS OF USER SATISFACTION LEVEL IN F-LEARN USING EUCS METHOD

Prihart Julian Pali'pangan, Magdalena A. Ineke Pakereng — Tue, 31 Oct 2023 00:00:00 +0700

The changes in various aspects of life have led to the rapid development of information technology, enabling it to encompass all fields of knowledge in the education world and support the teaching and learning process. E-Learning is an integrated system developed through a holistic approach to ensure the effectiveness and interconnectedness of learning. It directly connects learners with relevant learning-teaching resources, facilitating active interaction and in-depth exploration. Flexible-Learning (F-Learn) is a distance learning platform at Satya Wacana Christian University (UKSW) that supports academic activities. The End User Computing Satisfaction (EUCS) method is used as an evaluation tool to measure user satisfaction with the application system by comparing their expectations with their actual user experience. The research aims to measure and evaluate students' satisfaction level with the use of F-Learn as a benchmark for the quality of services provided. Based on the conducted analysis, the content rating score is 3.9775, accuracy is 3.485, format is 3.31, usability is 3.82, and timeliness is 4.115.

PENERAPAN CROSS SELLING UNTUK MENINGKATKAN PENJUALAN PADA KLINIK KECANTIKAN DENGAN MENGGUNAKAN ALGORITMA APRIORI

Anas Syaifudin, Risqiati Risqiati, Devi Sugianti, Arief Soma Darmawan — Tue, 31 Oct 2023 00:00:00 +0700

The impact of the COVID-19 pandemic has been felt by all sectors, including the economic sector. UMKM have really felt the impact after the covid 19 pandemic with declining sales turnover..This study aims to classify products from UMKM that are not selling well and selling well. The K mens method was chosen for grouping because it is simple and the K means method can group according to the same criteria grouped into a data cluster, for different data entered into another cluster. There are 28 data sets which will be grouped into 2 clusters . With the criteria of total goods sold, total transactions, difference in days and final stock. The data was taken from January 2022 to August 2022. After clustering, it was found that C1 had 12 products that were selling well, and for C2 there were 16 products that were not selling well. Therefore, UMKM can carry out sales promotion strategies that are fast and precise so that products that are not selling well can increase sales volume. Promotions can be carried out in the form of discounted promotions, mailer promotions, and fractional promotions

PENERAPAN METODE RANDOM FOREST DALAM MENDETEKSI BERITA HOAX

Tio Tambunan, Margaretha Yohanna, Arina Prima Silalahi — Tue, 31 Oct 2023 00:00:00 +0700

Hoax is information that is not true. The Ministry of Communication and Informatics (Kominfo) found that there was 2,099 hoax news that was spread thousands of times via social media. This generally impacts the community so it can lead to a crisis of confidence in the government. This arises because many message recipients have different literacy levels, which will affect how people analyze the information conveyed. This research uses the Random Forest method, which is used to classify large amounts of data to detect hoax news. The research results show that the Random Forest method is proven to be able to classify hoax news based on data that has been weighted and entered into the system. From the results of the study using 200 data sets, which were divided by 80% in the form of training data and 20% of testing data, the classification results obtained from the testing data were in the form of 28 positive sentiments and 23 negative sentiments with an accuracy rate of 98%.

APLIKASI E-COMMERCE PAKAIAN BERBASIS ANDROID MENGGUNAKAN METODE PROTOTYPE

Emon Sulaksana, Arief Ichwani, Nizirwan Anwar, Popong Setiawati — Tue, 31 Oct 2023 00:00:00 +0700

E-commerce is a profitable opportunity for SMEs, particularly in the sale of household goods like clothing. SMEs' growth in e-commerce has been driven by theCovid-19 pandemic, leading to widespread adoption ofe-commerce systems. OvintLevint, a clothing store thatstarted during the pandemic, still relies on traditionalmarketing methods like word-of-mouthrecommendations. This hampers their growth andcompetitiveness against well-known brands, requiringsignificant investment and time to overcome. Currently, OvintLevint accepts both cash and non-cashtransactions, including transfers and WhatsApp-basedpayment proofs. However, there are frequent instancesof lost transaction receipts and income recording errors. To facilitate customers and OvintLevint, an Android system is being developed for online product purchases. Equipped with a payment gateway, this system aims tosimplify customer transactions. The development usesprototyping with the Flutter framework (Dart andjQuery) for frontend, and Laravel framework (PHP andBootstrap) for backend and web administrationservices. Research findings suggest that developing a clothing e-commerce application can streamline theordering process, transaction data processing, andenhance marketing efforts.

IMPLEMENTASI ALGORITMA FUZZY C-MEANS (FCM) DALAM MEMPREDIKSI HASIL TANGKAPAN IKAN DI KOTA KENDARI

Katharina Amelia Ngii, Dinar Sabrina, Rizal Adi Saputra — Tue, 31 Oct 2023 00:00:00 +0700

Almost 70% of Indonesia's region is a body of water, so production of catch fish is increasing. Fish is one of the principal ingredients that most people consume. To meet the rapidly increasing demand of fish requires predictions of fish products that can help with effective planning and decision introduction. The aim of this study is to assess the quality of predictions and provide vital information for future fish production. Fuzzy c-means (FCM) is a technique that can be used to make such predictions using data on water quality, water temperature, and fish production. Analysis using fuzzy c-means means to predict fish production in the next few years. These predictions provide information on the future volume of fish production based on water quality and water temperature data. The results of this study indicate that the method can provide accurate predictions that could be useful for the production of ongoing fish.

KLASIFIKASI EMOSI PUBLIK TERHADAP LARANGAN PENGGUNAAN OBAT SIRUP MENGGUNAKAN ALGORITMA NAIVE BAYES

Adella Putri Riani, Nina Sulistyowati, Taufik Ridwan, Apriade Voutama — Tue, 31 Oct 2023 00:00:00 +0700

In October 2022 BPOM withdrew the circulation of syrup drugs and banned the public from using syrup drugs due to the increasing cases of kidney failure in children with a mortality rate of up to 59%. The phenomenon of mass death has caused psychological trauma that threatens. The purpose of this study was to find out how public comments on Twitter and Instagram social media regarding the prohibition of using syrup drugs by classifying emotions using the Naive Bayes algorithm with Particle Swarm Optimization (PSO) feature selection. The methodology used is the AI Project Cycle which consists of problem scoping, data acquisition, data exploration, modeling and evaluation. The amount of data in this study was 1213 comments with 381 surprised comments, 318 angry comments, 277 sad comments, 137 scared comments, and 100 happy comments. Happy and afraid comments have fewer comments than other emotions, so the imbalance dataset will be handled using SMOTE. The results of this study are to compare the classification results of the application of PSO and SMOTE to the Naive Bayes algorithm to determine the best model. Based on the classification results, the Naive Bayes, PSO, and SMOTE models produced the highest accuracy values of 76.48%, with a recall value of 76.47%, a precision of 76.20%, and a fmeasure of 75.62%.

PERANCANGAN SISTEM INFORMASI PERPUSTAKAAN DIGITAL BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL DI JURUSAN INFORMATIKA UNIVERSITAS SILIWANGI

Hen Hen Lukmana, Muhamad Alhusaini, Vega Purwayoga — Tue, 31 Oct 2023 00:00:00 +0700

The COVID-19 pandemic that occurred at the end of 2019 has accelerated the application and use of technology in universities. Various academic activities, such as learning, final project work, and UTS and UAS, were completed online. But unfortunately, supporting facilities such as digital libraries are needed as a source of reference and information that can store various material needs such as ebooks and modules that can be used for the learning process and can be accessed anywhere and anytime. This is the basis for designing the Digital Library Information System to make it easier for lecturers and students to find the books and modules they need. This library information system is web-based and made with HTML, CSS, Javascript, PHP, and MySQL programming languages. The method used in the development of this digital library information system is the waterfall method with the UML (Unified Modeling Language) software approach. With the Informatics Digital Library, it is hoped that it can help students and lecturers find various references and information for the learning process.

SISTEM INFORMASI PRESENSI DAN PENGGAJIAN GURU DENGAN RADIO FREQUENCY IDENTIFICATION (RFID) MENGGUNAKAN E-KTP

Priska Choirina, Pangestuti Prima Darajat, Gun Yuliono — Tue, 31 Oct 2023 00:00:00 +0700

In the current technological era, several educational institutions' teacher attendance and payroll system uses manual recording in a book for each attendance and payroll. This research aims to design and build a teacher attendance and payroll system integrated with a database using radio frequency identification (RFID). This attendance and payroll system consists of several main components, namely E-KTP used as a substitute for ID cards and RFID readers used to read teacher attendance information. The attendance and payroll system has several features, namely, attendance and return scan page, attendance summary report and payroll report in form of salary report. The method used in this design is the Rapid Application Development (RAD) method. The method provides much faster development and better results than the traditional cycle. The information system testing used is blackbox and whitebox testing. The results of implementing the Attendance & Remuneration Information System in SD Negeri 1 Permanu have shown that the system improves the attendance of teachers.

TRANSFORMASI SISTEM INFORMASI AKUNTANSI ARUS KAS DENGAN MENGGUNAKAN VISUAL STUDIO DAN MYSQL PADA CV. MUTIARA SEJAHTERA

Syamsumar Bustamin, Abri Hadi — Tue, 31 Oct 2023 00:00:00 +0700

This research focuses on the importance of accounting information systems in the retail business, with a case study on CV. Mutiara Sejahtera. We use qualitative methods and development cycle systems to understand the needs and overcome the constraints in managing a financial company. With business growth, managing data receipts, transactions, and expenses becomes complicated. A more integrated accounting information system is implemented to record and process data more efficiently. This helps reduce human error and provides better financial reports. The results of the implementation of this new system provide benefits for CV. Mutiara Sejahtera. Finances are managed more efficiently, and more accurate reports help decision-making. Thus, the implementation of an integrated accounting information system has the potential to support business growth and build operational transparency.

VISUAL ANALYSIS OF LOCAL EARTHQUAKE IN NORTH TAPANULI BASED ON DATA SCIENCE

Marzuki Sinambela, Eva Darnila — Tue, 31 Oct 2023 00:00:00 +0700

Earthquakes are natural phenomena that occur when the Earth's tectonic plates move and release energy. Big Data's emergent epistemological and research paradigms, as well as data science, an increasingly integrated field of data research, are opening up new opportunities. Visualizing earthquake data is all about understanding earthquake characteristics such as size, location and depth. The result show that September was the quietest month in terms of earthquakes, and in this graph we can see the number of earthquakes for each month in 2022. The month of October is the one that has the highest number of earthquakes. We can see the average depth and magnitude of each year on the bubble chart. In addition, the size and color of the bubbles indicate the number of earthquakes that month. In general, most of the earthquakes occurred in the shallow earthquake range and the 1.8-3.85 magnitude range.