bluuebunny/crossref_metadata_2025 huggingface dataset:
Klasterisasi Stok Produk Retail Untuk Menetukan Pergerakan Kebutuhan Konsumen Dengan Algoritma K-Means
Authors: Niko Niko Suwaryo , Rahman Arif , Marini Umi Atmaja Dewi , Basri Amat
Published: January 2024

− Retail product clustering is a product arrangement that is adjusted to the flow of placement or this layout is more suitable for product placement according to standards. Utilization of existing data through the clustering method approach can be applied in analyzing product grouping of data on availability and inventory of goods in warehouses so that it can provide knowledge and information. The clustering method is processed using the K-Means algorithm, where the results also show a new insight, namely grouping products based on 3 clusters. Cluster 1 is a product category with low availability or Low, namely 939 out of 1000 availability categories based on the number of products tested, then cluster 2 is a product category with medium or Medium availability, namely 51 out of 1000 availability categories based on the number of products tested, and finally cluster 3 is a product category with fairly high availability or High, namely 10 out of 100 availability categories based on the number of products tested. Tests using Rapid Miner tools can also produce similar insights, namely that each cluster has cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 51 cluster members representing the Medium cluster, Cluster_1 has 939 cluster group members representing the Low cluster, and Cluster_2 has 10 cluster members corresponding to the cluster representation High.
Distribusi Spasial Unmet Need Pelayanan Kesehatan dengan Algoritma K-Means untuk Pemetaan Provinsi di Indonesia
Authors: Kusmanto  , Samsir Samsir , Watrianthos Ronal , Suryadi Sudi
Published: January 2024

Pemetaan spasial terhadap kebutuhan pelayanan kesehatan yang belum terpenuhi (unmet need) penting dilakukan untuk mengenali wilayah yang memerlukan prioritas intervensi guna meningkatkan akses dan kualitas layanan kesehatan. Penelitian ini bertujuan memetakan tingkat unmet need pelayanan kesehatan di 34 provinsi Indonesia tahun 2015-2022 dengan algoritma klasterisasi K-Means. Data unmet need dianalisis dan dievaluasi menggunakan Indeks Davies-Bouldin untuk menentukan jumlah klaster optimal. Hasil analisis menunjukkan 3 klaster provinsi optimal berdasarkan tingkat unmet need. Klaster 1 (DKI Jakarta, Bali, Papua) memiliki rata-rata unmet need terendah 2,47%. Klaster 2 (sebagian provinsi di Jawa dan Kalimantan) memiliki rata-rata unmet need sedang 5,46%. Klaster 3 (sebagian besar provinsi di luar Jawa) merupakan kelompok dengan unmet need tertinggi rata-rata 7,35%. Secara spasial, provinsi di luar Jawa cenderung berada di klaster dengan unmet need tinggi, sejalan dengan tantangan aksesibilitas pelayanan kesehatan. Hasil pemetaan K-Means ini dapat menjadi acuan dalam merumuskan rekomendasi peningkatan akses dan kualitas layanan kesehatan di provinsi-provinsi prioritas berdasarkan tingkat unmet need.
Memprediksi Kualitas Produk Inspeksi Dalam Meminimalisasi Resiko Produk Ng Meggunakan Algoritma Regresi Linier
Authors: Dini Rahayu  , Gunaryati Aris
Published: January 2024

Predicting the product is a form of analyzing data, predicting the product is an important factor that determines the smooth running of the product. Utilization of product and defect data can be used in carrying out the process of data mining and modeling stages to predict the number of product defects at one time. The application of the simple Linear Regression algorithm equation model can be implemented where the results also provide a new insight for the prediction needs of the number of product defects. The simple Linear Regression equation model after comparison with actual calculation results (observations) and also with the Rapid Miner application in general shows similar results. Evaluation and testing of the RMSE value was also obtained when evaluating the applied linear regression model, with an RMSE value of 0.984 with a standard deviation of +- 0.0
Sistem Rekomendasi Penentuan Titik Usaha Kafe Menggunakan Data Spasial dan Algoritma Topsis
Authors: Irfan  , Amil A.Ilham  , Imran Taufik  , Suarna Dedi
Published: January 2024

− The cafe business is a business that has very promising opportunities because this cafe business has a very wide target market, namely not only coffee lovers, but also ordinary people, especially millennials such as students and university students. Sinja City is a city with good business potential, but the problem is that there is no system that can determine suitable business locations, especially determining café business locations. This research aims to develop a recommendation system that can help prospective cafe entrepreneurs determine the optimal location to open their cafe business. This system uses a spatial data-based approach and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to produce appropriate recommendations [1]. The results of this research produce a list of recommendations for the best locations to open a cafe business. This recommendation system can help cafe entrepreneurs make more informed decisions and minimize the risks associated with choosing a business location. In addition, the use of spatial data and the TOPSIS method allows this system to produce recommendations that are more accurate and relevant to actual geographic conditions. Apart from that, the use of spatial data and the TOPSIS method allows this system to produce more accurate recommendations with a trial with 4 alternatives using the TOPSIS method. The highest ranking result is alternative 1 as a recommendation for determining the location of a cafe business location
Penerapan Algoritma Apriori Dalam Memprediksi Penjualan Sepeda Motor
Authors: Ndruru Eferoni
Published: January 2024

Currently, companies operating in the motorbike sector are experiencing a decline in sales of spare part products and are not appropriate in determining the promotional strategies given to customers. A lot of transaction data is used as a reference for selling products at capital prices which only results in small profits. If it is still not sold, the incoming goods are delayed because the capital has not been returned. Therefore, a system is needed to process information data more quickly and precisely in predicting motorbike sales patterns using a priori algorithm data mining applications. The results of calculations using the a priori algorithm show that if a consumer buys a Yamaha lower arm and tires then the support value = 23.33 and the confidence value = 77.78 and if the consumer buys a Yamaha lower arm and AC filter then the support value = 26.67 and the confidence value = 72.72. The research objective is to predict and analyze motorbike sales patterns implemented on a desktop-based application. This is to make it easier to analyze the competitiveness of the best-selling motorcycle products simultaneously. As a recommendation for decision makers to improve marketing and promotion of better motorbike products.
Analisis Smart School Manajemen Layanan Ujian Akhir Semester Pada Aplikasi Qualitiva menggunakan Framework ITIL Versi 3 di SMA
Authors: Yunita Permata Sari  , Marutha Berlianti Akbar  , Tata Sutabri
Published: January 2024

Smartschool is a school concept that uses information and communication technology (ICT) to support the learning and assessment process in the classroom. As is the case at SMA Negeri 22 which already uses information technology in the form of online-based exam applications, one of which uses Qualitiva for the end-of-semester exam process. The research was conducted with the aim of improving the quality of service in the Qualitiva online-based exam application. The method used in this research is descriptive qualitative with data collection techniques through interviews and observation. The research results show that the implementation of the ITIL 3 framework in the qualitative online exam application can provide improved service management at SMA Negeri 22 Palembang by using the ITIL 3 Service Management Lifecycle which includes service strategy, service design, service transition, service operations, and service monitoring. Thus, based on the results of the smart school analysis, final semester exam service management in the Qualitiva application using the ITIL version 3 framework at SMA Negeri 22 Palembang can ensure that the services provided meet user needs and can be run effectively and efficiently. Qualitiva is provided by the SMA Negeri School. 22 Palembang based on IT can meet user needs and can be run effectively and efficiently in order to improve school management services at SMA Negeri 22 Palembang.
Analisis Metode Certainty Factor Pada Sistem Pakar Diagnosa Kerusakan Sepeda Motor
Authors: Zalukhu Anzas Ibezato , Irwan Syahputra  , Suhardiansyah  , Iqbal Muhammad , Wijaya Rian Farta
Published: January 2024

Motorcycles are a predominant mode of transportation in Indonesian society, comprising 84.5% of the total transportation vehicles in 2021 according to national BPS data. Despite providing convenience in mobility, motorcycles are susceptible to disturbances or damages that can hinder normal usage and potentially lead to accidents. Many motorcycle riders lack knowledge or awareness regarding potential issues with their motorcycles. This research aims to analyze the implementation of the certainty factor method in an expert system for identifying motorcycle malfunctions, with a focus on Giska Servis workshop. The certainty factor method serves as a reasoning tool to determine identification outcomes based on identified symptoms. The results of this study are expected to contribute to facilitating motorcycle riders in diagnosing symptoms of malfunctions in their vehicles. The certainty factor method offers a systematic and structured approach to identifying motorcycle issues. Through the implementation of this method, the research attempts to measure the success rate of the expert system in diagnosing malfunctions. Data from the identification results at Giska Servis workshop will be comprehensively analyzed to evaluate the accuracy and effectiveness of the certainty factor method in this context.By highlighting the success of this method, this research is expected to provide valuable insights for the development of expert systems for motorcycle issue identification. The findings of this study can serve as a guide for workshops and motorcycle users to enhance understanding and management of vehicle issues, thereby minimizing the potential for accidents and extending the lifespan of motorcycles.
Implementasi Algoritma Naïve Bayes dalam Menganalisis Sentimen Review Pengguna Tokopedia pada Produk Kesehatan
Authors: Ernawati Andi , Sari Ayu Ofta , Sofyan Siti Nurhaliza , Iqbal Muhammad , Wijaya Rian Farta Wijaya
Published: January 2024

It must be realized that customer satisfaction is the main goal for companies in developing their business. Because customers' opinions written on social media will have a big influence on the company and potential customers. In its development, it is increasingly found in various online media, one of which is Tokopedia. Product reviews are an important source of information regarding quality, service and delivery from both consumers and manufacturers. With a very large amount of data for each product on Tokopedia, analyzing and concluding product review information will definitely take a lot of time if done manually. To overcome this, a sentiment analysis system is needed that can automatically extract important information that can objectively determine product quality and handle large amounts of textual information. The sentiment analysis system consists of several stages, namely crawling, pre-processing, word weighting, and sentiment classification. By applying the Naïve Bayes algorithm through selecting range and frequency features, accuracy, accuracy and recall results will be obtained using the Confusion Matrix test. The dataset used is from the kaggle.com site regarding customer sentiment on health products with the type of mask. using the Naïve Bayes Algorithm Method to determine the sentiment of user reviews by classifying 2 positive and negative classes using the NLP approach produces an accuracy value of 88%.
Implementasi Algoritma Naïve Bayes Dalam Menganalisis Jumlah Live Stream VTuber Skem
Authors: Aulia Ananda , Tanjung Miftah Rusydi , Iqbal Muhammad , Wijaya Rian Farta
Published: January 2024

YouTube is evidence of the development of leading digital technology in the media and entertainment sector. YouTuber is a term for those who create content or broadcast live on YouTube media. Not all YouTubers are able to express themselves directly in the content they create. For this reason, Virtual YouTubers were created, which are 2-dimensional or 3-dimensional virtual characters created using computer software to make it easier for YouTubers to interact with viewers. This research aims to analyze the live broadcasts of VTuber HoloH3ro, namely Kaela Kovalskia, Vestia Zeta, and Kobo Kanaeru, which contain schemes during the live streaming. With a large amount of data for each live stream time, a Naïve Bayes algorithm is needed through the use of range and frequency features, so accuracy results will be obtained which will be tested using the Confusion Matrix. The dataset used was taken from the kaggle.com site regarding the scheme live stream schedule conducted by HoloH3ro.
Implementasi Augmented Reality Pada Pembelajaran IPA Siswa SMP
Authors: Utomo Suharjanto , Budiarto Samsul , Iswanto Iswanto , Ibnu Abdillah Sofyan , Ilhamdi Wilson
Published: January 2024

In the learning process at the inclusive junior high school SMP Muhammadiyah 5 in the city of Cimahi, conventional methods are still employed, utilizing limited book resources, and students remain passive, merely listening to what the teacher imparts. Augmented Reality is a technology that combines the real world with digital or virtual elements, creating an engaging and interactive user experience. The purpose of this research is to develop a learning media using Augmented Reality technology that is engaging and interactive in the field of Science, thus facilitating both teachers and students in comprehending the material. The stages in this research employ the Multimedia Life Cycle method, which includes concept, design, data collection, creation, testing, and distribution. The research has successfully developed an Android-based application that has undergone black box testing. Survey results also indicate a 90% satisfaction rate, demonstrating that the application is easy to use, interactive, and engaging.
Analisis Komparasi Algoritma Data Mining Naive Bayes, K-Nearest Neighbors dan Regresi Linier Dalam Prediksi Harga Emas
Authors: Muharrom Muhammad
Published: January 2024

The results of implementing Orange Data Mining for forecasting the value of the Gold Price are displayed on the Test and Score widget. RMSE and MAE values were obtained from each model from the test. The RMSE and MAE values for the K-Nearest Neighbor (K-NN) method are 0.007 and 0.006, respectively, while for the Support Vector Machine (SVM) method are 0.006 and 0.005. The RMSE and MAE values for the Linear Regression method are 0.004 and 0.003, respectively. Compared to the K-Nearest Neighbor and SVM methods, the Linear Regression method is the best at predicting changes in Gold prices based on the RMSE and MAE data mentioned above. For future research, this best practice method needs to be studied more deeply. It is recommended for future research to compare the Linear Regression method with alternative approaches using the Orange tool set or other related tools.
Penerapan Metode Design Thinking untuk Perancangan UI/UX Sistem E-Marketplace Berbasis Website
Authors: Sulistyono Muhammad Ridwan , Setiawan Agus , Nuryanto Nuryanto
Published: January 2024

E-Marketplace is an application that allows users to enjoy a shopping experience with a minimalist design. A systematic manufacturing process using design thinking empathize, define, ideate, prototype and test methodologies. The author hopes to create an ideal website for various marketing platforms. The design thinking method can also work smoothly if UI and UX (User Interface and User Experience) can be created. Using the usability test method as a prototype reference and using the Google Form to determine the best design for the TOP 5 marketplaces and using Preview Figma to solicit different opinions at the Emphatize stage by collecting data from 105 Shopee, Lazada, Blili, Bukalapak and Tokopedia users to use Google's market solutions. The purpose of this research is that this prototype can be accepted by the community, especially active market users. After going through different stages, the final result of this research is the creation of a homepage according to the components of the system design. Received user test data About 99% of the 105 data collected, of which 54.3% women and 45.7% men used the marketing platform and presented their assumptions about the header design obtained from the screen design which received 58.1% of the 105 users who chose SHOPEE. In the final stage, FGD (Forum Group Discussion) and expert judgment were carried out to determine whether the prototype created was ideal and able to compete in the virtual world market. can be interpreted as a conclusion that this prototype can be accepted in the community, considering that it still needs significant improvement and development according to user feedback.
Pengembangan Aplikasi Layanan Pasien Menerapkan Metode Rapid Aplication Development Berbasis Mobile
Authors: Aulia Putri Febriana , Irawan Muhammad Dedi
Published: January 2024

Smartphone technology is much loved by the public because there are many features that make it easier for public services, especially in the health sector. Obstacles that occur in clinics are the lack of transparency of registration information. conventional treatment, causing patient service treatment to be long. This research has the formulation of the problem of how to make a registration system that can be accessed by patients and can be carried out by the general public such as the community. The aim is to increase the quality and quality of polyclinic services and maximize the system more than before. In addition to building patient service applications as a digital health media with the Android platform using the React Native framework and the JavaScript programming language and MySQL database. So that it can make it easier for users to carry out registration, obtain accurate information, and be able to save more time without having to arrive early just to get a queue number in the Yazid Pratama clinic service. The officer experienced the same thing because the officer was able to provide the files before the patient arrived the previous day, so when the patient arrived the officer had already provided the necessary files, only requiring verification of the patient's data so he could continue for treatment. System development uses the RAD (Rapid Application Development) method and the acceptance result of this system is 88.5% using the User Acceptance Testing (UAT) method. It is hoped that this application will make it easier for patients to get effective, efficient, humane, fair health services without discrimination.
Penerapan Metode WASPAS Untuk Penentuan Penerima Beasiswa
Authors: Robo Salahudin , Nurhayati Siti , Widiyantoro Muh. Riandi , Ahmad Maulana Ayub
Published: January 2024

The need for funds or costs in education is important, one of those needs is scholarships, scholarships themselves are obtained based on several needs, one of which is that people can receive it if they are poor and there are difficulties in financing education. In that case, a system is needed that can help receiving scholarships. In that case, a decision support system for determining scholarship recipients was created using the Weighted Aggregated Sum Product Assessment method. The system used in this method is to provide several benchmarks as absolute values, after receiving a fixed value, the final result will be made in the form of a ranking arrangement of the data that has been made. The results of this study can assist in determining acceptance of the scholarship
Penerapan Metode Design Thinking dan Agile Development Pembangunan Aplikasi Marketplace “Hijab”
Authors: Lelitasari Anis , Ilyasa Reza , Satria Rangga Gading , Effendi Nurdin , Qaddasa Muhammad
Published: January 2024

The development of information technology is growing increasingly rapidly, many activities have been helped by technology, one of which is the process of buying and selling transactions. At this time people prefer to make buying and selling transactions online, this is because it can facilitate transactions such as seeing the details of the goods, the transaction process is easier and more efficient. Currently, hijab producers in the cikarang area who have a large market in work channeling institutions (LPK) to Japan market merchandise to interns directly or manually not utilizing technology. The current manual transaction process has many disadvantages including the need for a place, time for the buying and selling process, the process of recording transactions often makes mistakes. Things like this cause problems both from the seller or buyer side. From the problems that occur, a mobile marketplace application system "Hijab" will be made using the Design Thinking Method and Agile Development. The results of this study with the "Hijab" application can help hijab producers and LPK interns in the transaction process. This application can help introduce hijab products owned by hijab producers in the Cikarang area with this application product details are easy to convey because they are listed on the application, the transaction process will also be more neatly recorded. From the buyer / intern side, it will also be more helpful, namely being able to make transactions anytime and anywhere in the application.
Klasifikasi Citra Daging Sapi dan Babi Menggunakan CNN Alexnet dan Augmentasi Data
Authors: DLY Ikhwanul Akhmad , Jasril Jasril , Sanjaya Suwanto , Handayani Lestari , Yanto Febi
Published: January 2024

Konsumsi daging di Indonesia didominasi oleh sapi, kerbau, dan ayam. Namun, beberapa pedagang nakal mencampur daging sapi dengan daging babi sehingga sulit dibedakan oleh masyarakat awam. Beberapa penelitian telah menggunakan metode Convolutional Neural Network (CNN) untuk mengklasifikasikan citra, namun kekurangan data menjadi tantangan. Oleh karena itu, penelitian ini menerapkan teknik augmentasi data pada model CNN Alexnet untuk mengklasifikasikan daging sapi, babi, dan daging oplosan. Penelitian ini menggunakan dua rasio pembagian data yang berbeda, yaitu 90:10 dan 80:20, dengan total 600 data non-augmentasi dan 3000 data augmentasi yang dibagi menjadi tiga kelas. Beberapa hyperparameter diuji untuk mengoptimalkan kinerja model seperti optimizer Adaptive Moment Estimation (Adam), Stochastic Gradient Descent (SGD) dan Propagasi Root Mean Square (RMSprop) serta learning rate 0.1, 0.01, 0.001 dan 0.0001. Hasil menunjukkan bahwa penggunaan data citra augmentasi dengan optimizer Adam dan learning rate 0,001 memberikan accuracy tertinggi sebesar 85,00%. Sementara itu, penggunaan data citra non-augmentasi dengan skenario optimizer RMSprop dan learning rate 0, 0001 menghasilkan performa yang sedikit lebih rendah, yaitu mendapatkan accuracy 80.00%. Keduanya menggunakan perbandingan data 80:20. Teknik augmentasi data berhasil meningkatkan kinerja model deep learning dengan menciptakan data baru dari data yang ada.
Enhancing Website Usability by Utilizing Heuristic Evaluation and User Feedback for Better User Experience
Authors: Habib Sulthan , Ahsyar Tengku Khairil , Afdal M. , Salisah Febi Nur , Syaifullah Syaifullah
Published: January 2024

This research focuses on improving the usability of the Portal KUKERTA website used by Lembaga Penelitian dan Pengabdian pada Masyarakat Universitas Riau (LPPM UNRI) for the Kuliah Kerja Nyata (KKN) program. Based on direct observations of the Portal KUKERTA website, several usability issues related to the system were identified. Combining heuristic evaluation and user feedback, the study aims to enhance the user experience and ensure a user-friendly interface. Analysis of feedback from 98 users revealed the highest severity ratings in Flexibility and Efficiency of Use, Error Prevention, and User Control and Freedom. Recommendations were developed to address these issues and improve the user experience. The integration of heuristic evaluation and user feedback provides valuable insights for enhancing the usability of the Portal KUKERTA website, serving the needs of students and lecturers. Additionally, the research results showed scores for various usability principles, including visibility of system status (1.838), match between system and real world (2.264), user control and freedom (3.786), consistency and standards (2.325), error prevention (4.062), recognition rather than recall (2.250), flexibility and efficiency of use (4.075), aesthetic and minimalist design (2.713), and help users recognize, diagnose, and recover from errors (2.843). These findings further guide the improvement of specific areas to enhance the overall usability of the Portal KUKERTA website.
Sentimen Analisis Pembatalan Indonesia Menjadi Tuan Rumah Piala Dunia U-20 Menggunakan Metode Naïve Bayes
Authors: Sulastiyono Rozaq , Setiawan Agus , Nugroho Setiya
Published: January 2024

Football is the most popular sport in the world, including Indonesia. Several football tournaments have been postponed due to Covid-19, including the U-20 World Cup which will be held this year in Indonesia. However, the tournament was rejected by several parties who did not want one of the participating countries to take part in the tournament. As a result, the FIFA federation canceled Indonesia as the host for the 2023 U-20 World Cup. The polemic that has occurred in the last few weeks has generated many opinions and opinions from social media users, one of which is Twitter. This study focuses on classifying opinions from tweets on Twitter regarding the cancellation of Indonesia from hosting the U-20 World Cup. This sentiment classification uses the Lexicon Based method to determine positive, negative and neutral sentiments, classification uses the Multinomial Naïve Bayes method for calculating accuracy with the Confusion Matrix. Based on the system built, an accuracy of 85% is obtained with a precision of 85%, a recall of 85%, and an f1-score value of 83%.
Sistem Pendukung Keputusan Pemilihan Aplikasi Belajar Online Menggunakan Metode Additive Ratio Assessment
Authors: Bagir Muhammad , Rahmadian Jefri , Zahir Ahmad Fatih , Irwansyah Irsyad Purbha
Published: January 2024

In the digital era, there are many educational platforms or learning applications that offer easy learning. However, with so many existing online learning applications, care is needed to choose one that suits your needs. To select an online learning application, users must look for information one by one on the profiles and features of existing online learning applications. This results in the difficulty and duration of making choices. This study aims to build a decision support system through the application of the Additive Ratio Assessment (ARAS) method for selecting online learning applications so that it can facilitate the selection and does not require a long time. The ARAS method looks for the best solution by comparing the utility function of each option with the optimum utility function value. Based on the existing case studies through the implementation of the ARAS method, the best alternative is Ruangguru (A4) with a score of 0.8819, followed by Kelaskita (A2) with a score of 0.8469, Zenius (A3) with a score of 0.8397, and Udemy (A1) with a value of 0.6282. The built-in decision support system produces valid calculations because the calculation results obtain the same value as the manual calculation results. Then, the usability test results produced an average value of 88.33%. This means that the system that is built is able to facilitate users in every functional area.
Glove Detection System on Laboratory Members Using Yolov4
Authors: Al Bari Abdul Khaliq , Rachmawati Ema , Kosala Gamma
Published: January 2024

The use of gloves by laboratory workers has become mandatory in laboratory work intending to maintain the safety of workers from the spread or side effects carried out in the laboratory, but there are still workers who violate the rules by not using gloves when workers are in the laboratory room. This study aims to detect the use of gloves by laboratory workers. The method used in this research is You Only Look Once (YOLO) version 4. YOLOv4 has a system that can complete computer visual tasks in detecting and detecting objects quickly in real time. Based on the results of experiments and testing conducted, the model obtain an Average IoU of 55.56%.
Perancangan dan Pengembangan Sistem Informasi Monitoring Sewa ATM Berbasis Web Menggunakan Metode SDLC
Authors: Darmawan Rizky , Geni Bias Yulisa
Published: January 2024

Several bank institutions in Indonesia often experience obstacles in the process of processing data and information monitoring ATM rentals. The purpose of this research is to facilitate the process of processing data and monitoring related to ATM rentals to be more practical, efficient, and accurate in order to reduce errors that often occur when using the previous system. The data collection method used in this study is by observing and interviewing with parties involved in the administration of the ATM rental process. Based on the problems in the bank that is still doing manual data collection for ATM rental activities, namely by processing data in Microsoft Excel. In designing the system, the method used in this study is the Software Development Life Cycle (SDLC) method and uses the Codeigniter PHP Framework. Web-based ATM rental monitoring information system using the SDLC method is able to provide solutions to problems that often occur in the ATM rental process, and with this web-based monitoring system, it can maximize the monitoring process and improve the data collection process for the better. ATM rental activities can also run effectively and efficiently and are able to solve problems that often occur in the bank. This web-based monitoring information system using the SDLC method can also be developed again according to the needs desired by the user.
Book Recommender System Using Matrix Factorization with Alternating Least Square Method
Authors: Adyatma Hafid Ahmad , Baizal Z. K. A.
Published: January 2024

In this digital age, we are faced with countless choices of books. Finding books that match our interests and desires becomes a complex challenge. However, the existence of a book recommender system is useful to help provide the best decision-making experience that users can have. This research develops a book recommender system using Collaborative Filtering (CF) Matrix Factorization with Alternating Least Squares method which is compared with Singular Value Decomposition method to see an accurate recommender system. This research uses datasets from Goodreads in the form of book data and rating data. This research uses several evaluation metrics, namely RMSE and MAE for regression metrics and F1-Score and Precision for classification metrics. Based on the research that has been done, SVD gets a better accuracy value with an RMSE value of around 0.86822, for MAE values around 0.6903, for F1-Score values around 0.827923 and for Precision values around 0.568347. Meanwhile, the ALS algorithm gets an RMSE value of around 1.09320, for MAE value of around 0.86479, for F1-Score value of around 0.000304 and for Precision value of around 0.000596.
Penerapan Model COBIT 5 dalam Audit Sistem Informasi Penerimaan Negara Bukan Pajak Online Pada Lembaga Penyiaran Publik Radio Republik Indonesia
Authors: Hasyim Wahyudin , Abas Moh. Ilyas , Mohi Rahmatia
Published: January 2024

Audit is an independent and standardized systematic process that completes evidence and compares it objectively to determine the extent to which audit interpretations have been complied with. One of the standards used in the implementation of the information systems audit process is COBIT (Control Objectives for Information and Related Technology). Online PNBP still has identified problems, including that the Online PNBP application does not accommodate all Types and Tariffs for PNBP types. This study aims to conduct an online PNBP information system audit at LPP RRI Gorontalo. This study uses the APO04 (Manage Innovation) domain at COBIT 5 with the research stages using Assessment Process Activities. The data used in this study are secondary data and primary data obtained through the observation phase of interviews and questionnaires. Based on the research results, the average value in the APO04 sub-domain in the current condition (As Is) is 0.24 and the expected condition (To Be) is 0.20 or still at level 0. With the largest gap or gap value is in the APO04.02 sub domain, which is 0.54. With these results it is found that LPP RRI Gorontalo has not carried out IT processes that should have existed, or been added and have not succeeded in achieving the objectives of the IT process and have not been optimal in maintaining understanding of the company's environment, so the suggestion that can be given is to maximize understanding of the environment companies so that they can understand the interests of both consumers and companies so that opportunities enabled by new technologies can be identified
Penerapan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Dalam Pemilihan Kepala Laboratorium Menggunakan Pembobotan Rank Order Centroid (ROC)
Authors: Sholeha Puspa Ayu , Aldisa Rima Tamara
Published: January 2024

In selecting the head of the laboratory, someone who has extensive knowledge in the specific field of the laboratory is needed, as well as good management and leadership skills. They may also be involved in developing new methods, selecting equipment, and developing laboratory policies. However, the challenge in the selection process for a new laboratory head is the high number of applicants and a series of selection stages which are time-consuming, including administrative selection, competency evaluation, and interviews. This causes difficulties for schools in making decisions to get candidates for laboratory heads that match their expectations. In solving problems in laboratory selection, the authors make 5 criteria including qualifications, experience, leadership, communication skills, and responsibility. So this research also needs a system that can help to solve existing problems. A system that can help solve problems is a Decision Support System (SPK). In completing this research, the writer has to find the weight value of the criterion data where the writer uses the ROC method to produce the weight value and after that the writer also searches for the ranking value using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The produce of ranking values in the TOPSIS method, the author must work according to predetermined steps in order to obtain precise and accurate preference values. The ROC and TOPSIS methods really help the writer in generating values accurately. So from the above calculations using the TOPSIS method the chosen head of the laboratory is Zakiyah Alifah with a total value of 1.
Analisis Sentimen Ulasan Aplikasi Info BMKG di Google Play Menggunakan TF-IDF dan Support Vector Machine
Authors: Karo Karo Ichwanul Muslim , Karo Karo Justaman Arifin , Yunianto Yunianto , Hariyanto Hariyanto , Falah Miftahul , Ginting Manan
Published: January 2024

Posting online reviews has become one of the most popular ways to express opinions and sentiments towards service applications. The Meteorology, Climatology and Geophysics Agency (BMKG) Info application is an Android and iOS-based mobile application that provides information on weather, climate, air quality, and earthquakes that occur in various regions in Indonesia. The information contained in this application is very important but has a worse value than other forecasting applications. Sentiment analysis is the process of classifying text into several classes such as positive sentiment, negative or not containing both. This research aims to analyze user reviews on the BMKG Info application from the Google Play website. The benefits obtained are as consideration for developers to improve the shortcomings of the application. The classification process uses Term Frequency-Inverse Document Frequency (TF-IDF) and the Support Vector Machine (SVM) algorithm. This research successfully collected 2500 reviews from users of the BMKG Info application on the Google PlayStore website using the web scraping method. Text preprocessing of the reviews used case folding, symbolic and stopword removal, tokenization, normalization, and stemming. User ratings help in identifying the sentiment label of a review, 66% of reviews are positive while the rest are negative. The most frequently reviewed topics with sentiment value are "application", "information", "update". This research conducted three experimental scenarios based on the composition of training data and test data. Based on the prediction model, the scenario with 75%:25% split data has the highest accuracy rate of 79%.
Perancangan Aplikasi Naviku untuk Memberikan Informasi Navigasi Kepada Tunanetra Menggunakan Metode Test Driven Development
Authors: Rafiadly Muhammad , Fauzi Rahmat , Musnansyah Ahmad
Published: January 2024

Visually impaired is a term for someone who has lost or reduced the function of vision. People with visual disabilities often experience difficulties in daily activities, for example when walking or navigating. They need the help of others to help them go to a room or move from one place to another. Currently, existing navigation aids do not fully meet the needs of the blind. They still need the help of others to get detailed information about visual objects such as the layout of rooms in buildings, traffic signs, and vehicles. Based on these problems, an Android-based navigation application needed that utilizes Text-to-Speech (TTS) technology to help blind people navigate independently by utilizing navigation information provided by voice. In order to help the development process, applications are developed by adopting Agile Software Development principles using the Test Driven Development (TDD) method. The features developed begin with a test fail phase where the developer creates unit test code before the production code is implemented, then refactor the code, and tests afterward (test passes). The success status of the features being tested gets success status with a rate of 100% for all features. Then in the TTS test, testing was carried out with 2 TTS engines, namely Google TTS and Samsung TTS, the results showed that the Word Error Rate (WRE) of Google TTS was 2,86, lower than Samsung TTS which got 4,06.
Analisis Kualitas Website dengan Menggunakan Metode Webqual 4.0 dan Importance Performance Analysis
Authors: Romlih Romlih , Budihartanti Cahyani
Published: January 2024

The development of technology, information and communication (TIK) is growing very rapidly and dynamically. Www.rsuppersahabatan.co.id, is a website owned by the government in the health sector provided by the Friendship Hospital as a form of service to the community in providing information and health services online. As a national respiratory referral center hospital and has a vision as a world-level hospital that has excellent respiratory services. Of course, many users access the website to seek information related to health service needs, training, education and research in the health and medical fields. Of course this is a challenge for Persahabatan Hospital to improve the quality of the website so that it can compete not at the national level but at the world level. The purpose of this study was to measure user satisfaction with the service quality of the Persahabatan Hospital website. The instrument used in this study was a questionnaire with a simple random sampling technique. In this study, the methods used were webqual and IPA methods. The webqual method consists of aspects of usability, information quality and interaction quality. The IPA method is used to analyze the level of suitability and gaps based on the level of satisfaction and expectations of the users.The results of calculating the IPA method can be described by the IPA matrix which consists of four quadrants. From the results of the analysis in this study, the largest gap (gap) is in the aspect of information quality with an average value of 0.41%.
Klasifikasi Sentimen Masyarakat Di Twitter Terhadap Prabowo Subianto Sebagai Bakal Calon Presiden 2024 Menggunakan M-KNN
Authors: Halim Abdul , Yusra Yusra , Fikry Muhammad , Irsyad Muhammad , Budianita Elvia
Published: January 2024

Presidential elections are held every five years and each presidential candidate will get support from several political parties to run for candidacy in the election. In a multi-party system, the number of parties participating in the election is very large, so that the perspectives of voters on political actors, including presidential candidates who will advance in the 2024 elections, are varied. The survey results from Polling Indonesia (SPIN) conducted from 7 to 16 October 2022 show that Prabowo Subianto has the highest electability with a score of 31.6%, based on a national leadership survey. In this study, a test was carried out by classifying tweet data from the public collected on the Twitter application from January to December 2022 using the Modified k-Nearest Neighbor method to analyze public sentiment regarding the upcoming election. Data collected as many as 2,100 data with positive and negative categories related to "Presidential Candidate" and "Prabowo Subianto" and the implementation of the Modified k-Nearest Neighbor classification was carried out using Google Colab. Based on the results of the confusion matrix test from the Modified k-Nearest Neighbor classification with three comparisons made (ie comparisons 70%:30%, 80%:20% dan 90%:10%) and using K=3, 5, 7, 9, 11 when testing a comparison of 90:10 at K=3 the highest accuracy results were obtained with a value of 93,3%.
Penerapan Goal Directed Design dalam Perancangan Ulang User Interface pada Admin Marketplace BUILD ID
Authors: Sandy Helmalia , Putra Pacu , Meiriza Allsela , Oktadini Nabila Rizky , Sevtiyuni Putri Eka
Published: January 2024

Build Id is a website and application-based marketplace that provides various construction needs, both products and services. The Build Id design by PT Semen Baturaja Tbk is aimed at the community as a form of implementing digital transformation in Indonesia. But the design process, to requires evaluation and improvement before it is inaugurated. This is done to avoid complaints, which can reduce the performance of applications and companies. This study aims to help design the Build Id user interface so that it is more focused on the features to be implemented so that the results can match the user's needs. In testing, this study uses the Goal Directed Design method which focuses on designing application designs by identifying user goals and needs. The results of the test prove that the Build Id marketplace for Admins is running well and as expected.
Implementasi Sistem Pakar Diagnosis Autisme Pada Anak Menggunakan Metode Naïve Bayes
Authors: Husna Syah Zanul , Putri Raissa Amanda
Published: January 2024

Autism is a developmental disorder that affects the normal functioning of the brain, thereby affecting a child's communication and social interaction abilities. This disorder poses a problem for children in communicating and forming relationships with their environment. As the number of individuals with autism increases, public  awareness of autism  remains very low. Additionally, most psychologists or psychiatrists are located in major cities, limiting access for rural communities. This leads to many parents struggling to obtain information about autism symptoms. The research method used is the naïve Bayes method, it can be drawn from the system is that it will generate the maximum score despite any disturbances in the provided data. The results of this research align with expert knowledge, suggesting that it can be relied upon to accurately diagnose autism based on the symptoms experienced by individuals. The aim of this study is to build an expert system that can provide information and solutions to parents regarding autism disorders based on their knowledge of the symptoms they experience, enabling users to diagnose autism in their children early on without incurring costs.
Analysis and Optimization of the K-Means Algorithm in Determining Course Scheduling
Authors: Martiano M , Sari Yoshida , Akbar Farid
Published: January 2024

Preparation of course schedules is the core activity of learning and learning. This is felt by study programs, where assignments are arranged through lecturer assignments, to class determination and class schedule dissolution, therefore the right application is needed to be able to arrange schedules automatically, then by using the k-means method you can arrange schedules correctly , in designing this application requires a prototyping application development method which gives good results where the clusters formed reach 17 clusters where the course schedule is made with the results of the Means Sequence Error in cycle 1 which is 65.66% with an accuracy of 54.06%. so that it is continued in cycle 2 the MSE value is 87.55% with an accuracy of 84.03%. The K-Means algorithm can accurately determine course schedules in the faculties of computer science and information technology.
Destination Branding dan Optimalisasi Performa Kelompok Sadar Wisata (Pokdarwis) melalui Sistem Informasi Desa Wisata Berbasis Bauran Pemasaran 9P
Authors: Singgalen Yerik Afrianto
Published: January 2024

The challenge in destination branding is the support of all stakeholders in the tourism sector through collaboration and synergy in tourism potential management. To improve the positive image of the destination, digital campaigns are one of the practical approaches to attract tourist visits. Meanwhile, the Kelompok Sadar Wisata (Pokdarwis) is a driving force that triggers local communities' participation and encourages tourism development in each region. However, there are challenges in realizing the synergy of stakeholders' interests to improve the positive image of tourism villages. This research aims to design a tourism village information system that encourages the performance of Pokdarwis while destination branding. In addition, the framework used in system design is design thinking based on the 9P marketing mix (Product, Price, Promotion, Place, People, Physical Evidence, Process, Performance, and Partnership). The results of the system design show that Pokdarwis is essential as an actor who has access to data and information management and system operations integrated with the 9Ps with the following description: product is a series of activities or services in a tourist village that tourists can purchase; price, is the value of the service package that can be accessed by tourists based on the latest price; promotions, are added value and special prices offered based on time frames; place, is the location of activities offered by the theme of the activity; people, emphasizing the party in charge involved in each activity; physical evidence emphasizes the facilities available to support activities; process, is the flow of ordering and using the services offered; performance, emphasizing the history of previous service delivery; Partnership, is a partner involved directly or indirectly as a supporter of tourism services. This shows that the tourism village information system based on the 9P marketing mix can optimize the performance of Pokdarwis while forming destination branding.