bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Kualitas Layanan E-Tracking J&T Cargo menggunakan COBIT 5
Authors: Lestari Fenny , Sutabri Tata
Published: January 2024

In today's practical digital era, this has fueled the presence of companies operating in the field of technology-based logistics services, for example J&T Cargo. One of the industries currently developing in Indonesia is the logistics transportation services industry due to the growth of e-commerce over the last decade. J&T is a logistics company that helps customers pack and send their goods. J&T cargo e-tracking is a service used to track package information, track outlets and also check postage which can be done independently without having to go to the outlet, making it easier for consumers to obtain information quickly and more efficiently. This research focuses on the COBIT 5.0 domain Deliver, Service, and Support (DSS) framework which aims to obtain the level of satisfaction of users of the J&T Cargo E-Tracking service. So the research results show that the lowest current maturity level value in the DSS domain is the DSS02 process, namely at level 3 (Established Process) and the other 5, namely DSS01, DSS03, DSS04, DSS05, DSS06 are at level 4 (Predictable process). From the results of measuring the maturity level, the as-is and to-be values ​​are obtained which will be the targets for IT governance of E-tracking services at J&T Cargo.
Penentuan Nilai Saham Terbaik Dalam Sistem Pendukung Keputusan Dengan Menggunakan Metode Simple Additive Weighting (SAW)
Authors: Siagian Edward Robinson
Published: January 2024

In the current era of information technology, aspects of life have become dependent on the era of globalization, especially for business people. To support the economy, investment is an important step that must be taken. Generally, basic principles are needed to decide on investment steps in the form of shares in order to obtain maximum profits. The value of investing in the capital market requires sufficient information, experience, and business sense to analyze which investments to buy, which to sell, and which to keep. The value of shares is difficult for investors to predict with potential shares, so investors need to carry out investment trend analysis and for companies to first determine their investment policy model so that they make investment decisions in accordance with what is most expected with the level of risk tolerance limits. Analysis of investment information is useful for determining the value of the shares to be selected and to find out the expected rate of return to determine the investment strategy that will be carried out.

Making decision support using several criteria that will be part of the strategy in determining potential shares. A decision support system is a decision that can help, speed up and simplify the decision making process.

Fuzzy Multi-Attribute Decision Making (FMADM) with the Simple Additive Weighting (SAW) method is a method that can assist in making decisions regarding several alternative decisions that must be taken with several criteria that will be taken into consideration.
Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Gigi Dan Mulut
Authors: Zalukhu Anzas Ibezato , Irwan Syahputra  , Suhardiansyah  , Sitorus Zulham , Khairul
Published: January 2024

Gigi dan mulut merupakan organ vital yang memainkan peran penting dalam menjaga kesehatan manusia. Kelainan pada gigi dan mulut dapat menjadi pemicu penyakit lain dalam tubuh. Pentingnya menjaga kesehatan gigi dan mulut ditekankan, terutama mengingat fungsinya yang esensial dalam berbicara, menjaga bentuk wajah, dan mengunyah makanan. Sayangnya, dengan perkembangan zaman, pola makan yang tidak sehat, seperti konsumsi makanan siap saji tinggi gula, garam, dan lemak, dapat menyebabkan masalah kesehatan gigi dan mulut. Penyakit gigi dan mulut sering disebabkan oleh mikroorganisme, dan pengetahuan terbatas tentang gejala-gejala penyakit ini dapat menjadi hambatan untuk diagnosis dini. Sebagai solusi, penelitian ini mengusulkan penerapan metode certainty factor dalam sistem pakar untuk mendiagnosis penyakit gigi dan mulut. Metode ini memungkinkan evaluasi tingkat keyakinan pakar terhadap data yang dianalisis, memberikan solusi atau rekomendasi dalam situasi kompleks. Penelitian ini mengacu pada pandangan pakar dokter gigi dan mulut, yang dianggap memiliki pengetahuan dan pengalaman yang mencukupi. Sistem pakar yang diusulkan bertujuan untuk meniru proses penalaran seorang pakar dalam memecahkan masalah spesifik dalam bidang gigi dan mulut. Dengan memanfaatkan certainty factor, sistem ini dapat menyediakan solusi yang lebih dapat diandalkan dan memberikan kontribusi pada upaya pencegahan serta penanganan dini penyakit gigi dan mulut.
Implementasi Metode Weighted Product Dalam Pengambilan keputusan Penilaian Kinerja Karyawan
Authors: Puspa Misrawati Aprilyana , Lasena Marlin , Husain Hariati , Sidik Zainudin
Published: January 2024

Employees are people involved in the company organization to carry out their duties based on their position or position. The current employee performance appraisal process is still carried out manually so that the element of subjectivity is very high, in addition to the relatively large number of employees making the employee determination time longer and sometimes late. The purpose of this study is to design a Decision Support System for employee performance appraisal at Otanaha Hospital so that the appraisal process and the decisions obtained are appropriate. The method used is the Weighted Product Method because this method is more efficient and the time needed in calculations is shorter and easier. The system is designed with php and html programming. Database used MySql language, with modeling using Unified Modeling Language. The result of this study is that it can make it easier for Otanaha hospital to assess and view employee data information and the results of performance appraisals of honorary employees and civil servants
Penggunaan Metode Game Development Life Cycle (GDLC) Untuk Memudahkan Belajar Bahasa Inggris Dalam Media Game
Authors: Rusmana Rijal Agus , Asriyanik Asriyanik , Setiawan Iwan Rizal
Published: January 2024

The development of information and communication technology has developed rapidly in various fields such as in the field of education and the field of play. Technology that is often used in all circles is a smartphone, the use of smartphones in addition to work can also be used to play. Ownership of smartphones according to the survey approximately 81.7% are used to send messages, regarding education, especially English learning according to the EF EPI survey (Englisg Profiency Index) Indonesia is in position 80 in Asia and includes low profiency. It can be concluded that there are still many Indonesian people, especially elementary school children, who still do not know about English. Therefore, a solution is made to introduce English with the theme of writing (writing) on game media, in making this educational game using the GDLC (game development life cycle) method. Educational games need development because many of the mechanics in educational games have passive mechanics, therefore in this game added mechanics, namely endless runner. After making the Tiny Man Genius game, tests were carried out on elementary school children in grades 4 and 6 based on the results of the pre-test and post-test conducted, it looks quite good even though in the pre-test session 81.3% were still below 100 with a maximum score of 200, but in the second experiment, the post-test increased, namely 93.8% increased and 87.5% with scores above 100. After conducting the test, the children stated that 68.8% helped in learning English.
Prediksi Jumlah Perceraian Menggunakan Metode Extreme Learning Machine (ELM)
Authors: Warohma Mawadda , Budianita Elvia , Syafria Fadhilah , Afrianty Iis
Published: January 2024

Divorce lawsuits have considerably increased in frequency in Indonesia. According to a Statistics Indonesia estimate, there were 447,743 divorce cases in 2021, up 53.50% from the 291,677 instances that were reported in 2020. According to data from the Pekanbaru Religious Court's Public Relations, there were 1,756 divorce cases conducted in the Pekanbaru region in 2021. Extreme Learning Machine (ELM) is one of the artificial neural network technologies that can forecast. The benefit of this approach is that it has a low error rate and can train data thousands of times faster than typical feedforward algorithms. This study used the Extreme Learning Machine technique to forecast the number of divorces at Bangkinang city's religious court, where 108 divorces are expected to occur between January 2018 and December 2022. The number of neurons in the hidden layer is tested using MSE at random for hidden layer 1, 10, 50, 100, and 200 neurons. The Bangkinang religious court's divorce prediction with the lowest MSE is based on a data comparison of 80%: 20% and produces an up-and-down pattern for the number of divorces predicted for 2023: 164 in January, 66 in February, 72 in March, 74 in April, and 92 in May. If there is an increase in divorce in the upcoming month, the religious court in Kota Bangkinang can use the information that the Extreme Learning Machine can provide to come up with a solution.
Analisa Website sif.uin-suska.ac.id Menggunakan Metode User Centered Design (UCD)
Authors: Abiyyu Muhammad Riszky , Megawati Megawati , Muttakin Fitriani
Published: January 2024

Thei Infoirmatioin Systeims Study Proigram at UIN Suska Riau is a study proigram foirmeid in 2002 undeir thei auspiceis oif thei Faculty oif Scieincei and Teichnoiloigy. In teirms oif sharing infoirmatioin, thei Infoirmatioin Systeims study proigram useis oinlinei meidia, nameily thei meidia poirtal weibsitei sif.uin-suska.ac.id, thei Infoirmatioin Systeims Study Proigram useis this weibsitei toi disseiminatei infoirmatioin aboiut thei Infoirmatioin Systeims Study Proigram in thei foirm oif study proigram proifileis, annoiunceimeints, leictureirs, alumni, coiurseis , study proigram activitieis, reigistratioin summary/final proijeict titlei, seiei list oif studeint achieiveimeint scoireis and class scheidulei. Thei purpoisei oif this reiseiarch is toi analyzei and deisign thei proitoitypei display oif thei proipoiseid weibsitei deisign in oirdeir toi improivei thei useir eixpeirieincei in visiting thei weibsitei in thei futurei. Thei analysis in this study useis thei Useir Ceinteireid Deisign (UCD) meithoid. Thei reisults oif thei analysis using thei UCD meithoid shoiw that, oif thei fivei principleis useid in this study, theirei arei threiei proibleimatic principleis. Thei first is thei principlei oif coimpliancei, in this principlei thei thing that is beiing improiveid is thei additioin oif a studeint sub-meinu, nameily studeint reiseiarch. Thei additioin oif a studeint reiseiarch meinu is useid toi makei it eiasieir foir studeints toi find reifeireincei mateirials reilateid toi theiir final proijeict. Thein thei seicoind is thei principlei oif peirspeictivei, in this principlei thei thing that beicoimeis an improiveimeint is thei additioin whein coimmeinting and sharing neiws soi that it makeis it eiasieir foir weibsitei visitoirs toi coimmeint using soicial meidia proivideid such as Faceiboioik, Twitteir, Instagram and alsoi makeis it eiasieir toi sharei neiws. Furtheirmoirei, thei third is thei principlei oif feieidback, in this principlei thei thing that beicoimeis an improiveimeint is thei additioin that oiccurs oin thei weibsitei is data, wheirei thei weibsitei infoirms data aboiut alumni data in thei Infoirmatioin Systeims study proigram and leictureir/staff data in thei Infoirmatioin Systeims study proigram.
Perancangan UI/UX Sistem Penerimaan Mahasiswa Baru Berbasis Perangkat Mobile dengan Metode Design Thinking
Authors: Narizki Muhammad Jidan , Widyanto R Arri , Prabowo Nugroho Agung
Published: January 2024

The admission of new students is a crucial stage in the administrative process of higher education institutions. An efficient system and good User Interface/User Experience (UI/UX) design in the process of admitting new students are very important to create a positive academic environment. This study aims to design an optimal UI/UX on mobile device-based new student admissions systems at Muhamadiyah University of Magelang (UNIMMA). The method used is design thinking which includes analysis of user needs, problems, ideation, prototyping, and testing. The results of this study are the UI/UX design of the Unimma New Student Admissions (PMB) application based on mobile devices. The results of the tests conducted show that the design of the PMB UI/UX application using the design thinking method is able to improve the quality of the user experience in using the UNIMMA PMB application. This is evidenced by the results of usability testing which shows a significant increase in user satisfaction with the application. The test results use data based on user perceptions obtained through surveys, interviews and observations of prospective new students and related stakeholders. It is hoped that the results of this research will contribute to improving the efficiency and quality of the user experience in the UNIMMA new admissions system. This research can also provide guidance and reference for other tertiary institutions in designing a mobile device-based new admissions system with a design thinking approach.
Penerapan Algoritma Dijkstra dengan metode SAW dan Haversine Pada Pencarian Rute Terdekat Menemukan Titik Pemberhentian Angkot Kota Sukabumi
Authors: Mulkan Zaldi Arif , Setiawan Iwan Rizal , Frazna Fathia
Published: January 2024

Angkot (City Transportation) in Sukabumi City is a popular public transportation system and is one of the main means of transportation for local residents and visitors to move around in the city with so many lanes each that the angkot itself passes, 19 route routes which cause so many problems for the community and outsiders of Sukabumi in finding angkot stop points so that it slows down time and is inefficient. Therefore, to make it easier to find angkot stopping points, Dijkstra's algorithm was chosen. Dijkstra's algorithm is the shortest route search algorithm by relying on the smallest value weight and calculating all neighboring nodes to find the smallest value. Researchers used 2 methods used, namely the SAW and Haversine methods. SAW method (Simple Additive Weighting Method). This method is for carrying out weighted sums based on 3 criteria for road width, distance traveled and estimated time and then normalizing the data to ranking. the haversine method is to calculate distances based on lattitude and lontitude. Initiate from the starting point to the destination point with a graph using Dijkstra's algorithm to produce a 30 iteration focus point generated by Dijkstra's algorithm, then evaluate the model by reaching other paths to the destination point.The results obtained in the search for the closest route using the two SAW and Haversine methods, after calculating all the paths passed from the starting point V117 (Bayangkara Street) - V82 (R.E Martadinata Street) obtained the results of the shortest route obtained, namely V117 - V118 - V131 - V130 - V132 - V133 - V134 - V138 - V137 - V110 - V82. Looking for the closest route from the starting point to the destination location determined by the researcher with the final result in the form of a Web-based application.
Sistem Informasi Geografis Pemetaan Kawasan Pembibitan Buah
Authors: Rafly Muhammad , Widyanto R Arri , Nugroho Setiya
Published: January 2024

Sriwedari Village, Salaman District, is one of the villages in the Salaman region which is known as a fruit nursery center. Favorite fruit seeds in this area, including durian, avocado and longan fruit seeds. The diversity of types of fruit seeds, often causes problems for farmers who need fruit seeds as desired, because the information needed is not yet available, to overcome this it is necessary to build a geographic information system for mapping fruit nursery areas that are used to make it easier for users to find the fruit seeds needed. The method used in developing this system is prototyping, using the Model-View-Controller (MVC) framework. The results of this study are in the form of a geographic information system used by fruit nursery entrepreneurs to inform their whereabouts on the map and the types of seeds they provide. This Geographic Information System makes it easy for users to find the desired fruit seeds by displaying several entrepreneurs who have the seeds the user wants. Based on the results of the tests that have been carried out, the user perception is Strongly Agree of 0.73% which indicates the system is easy to use and easy to understand. Black box testing also shows that this system is successful. This research is expected to help users find information about fruit seedlings in the village of Sriwedari Salaman.
Implementasi Metode Waterfall Pada Sistem Informasi Geografis Tata Ruang
Authors: Saputra Redho Harli , Dyah P.A Nur Rochmah
Published: January 2024

This research aims to develop a web-based Geographic Information System (GIS) using the waterfall method to overcome the limited information available to the public regarding building and spatial licensing in Bengkulu City. The development method used is the waterfall method, which includes the stages of analysis, design, implementation, testing, and maintenance. The test results show that this system provides easy access to accurate and timely information to the community. Black box testing showed high reliability and stability, with no failures or errors in system functionality. In addition, usability testing involved 42 respondents from the Bengkulu city community, who gave a high level of satisfaction with the user interface, ease of use, and quality of information presented by the system. Thus, this research contributes to the efficient and transparent management of building and spatial licensing in Bengkulu City, and can be a reference for relevant agencies in providing information that is easily accessible and meets the needs of the community.
Kombinasi Algoritma Sequential Search dan Fitur Autocomplete Pada Aplikasi Arsip (E-Arsip) Perpustakaan Berbasis Web
Authors: Sjofjan Muhammad Furqon , Fauziah Fauziah , Aldisa Rima Tamara
Published: January 2024

Files have the capability of being a source of data, therefore the existence of archives in an agency plays an important role in broad activities, given the importance of archives, consideration is needed in data management to ensure agency archives are stored properly and are easy to find. Searching for data through the site has been greatly developed along with the support of improved equipment, data search can be done using the search information stored in the program, search algorithms are a collection of software programs created to make it easier for clients to find and track data. Currently in search enter the word or phrase byuser to find data that is still difficult to find. Therefore we need features that can help users in searching. So this research was made and the application used two algorithms that can help in typing words or phrases namelyAutocomplete in order to assist clients in searching for data, and algorithms Sequential Search to make it easier to find client data. The average run time of the Sequential Search algorithm from 250 user data is 0.00496 seconds, and the word input search process with Autocomplete yields results for 100 percent of the 250 corresponding database data.
Pengenalan Bendera Negara Dengan Fisher Yates- Shuffle Pada Game Edukasi Android Menggunakan Metode GDLC
Authors: Fadilla Desty Rahma , Fauziah Fauziah , Aldisa Rima Tamara
Published: January 2024

This research aims to address the negative impact of less educational games by creating an interactive educational game for Android that combines learning about national flags and memorizing flag images, thus enhancing logical thinking skills in children. It is developed using the Flutter framework as the development platform and follows the GDLC method, with alpha testing conducted using the blackbox method. The Fisher-Yates Shuffle algorithm is implemented for shuffling the flag images and the order of elements in the card list. The testing method involves using the Debug Console in Visual Studio Code to verify the success of the shuffling process. The conducted testing, performed six times, demonstrates the algorithm's success in shuffling the card order for each level. In the easy level, the randomized order is 6, 10, 8, 5, 3, 4, 11, 2, 7, 1, 12, 9. In the normal level, the randomized order is 6, 11, 20, 16, 1, 13, 19, 17, 9, 2, 15, 4, 10, 12, 14, 8, 5, 7, 2, 18. In the hard level, the randomized order is 2, 14, 1, 21, 7, 18, 24, 22, 10, 23, 6, 11, 15, 9, 17, 4, 8, 3, 5, 13, 16, 12, 19, 20. The Fisher-Yates Shuffle algorithm successfully generates diverse shuffling of flag images and avoids repeating the random order of cards each time the game starts. Thus, this game can provide stimulation to the brain and encourage children to effectively enhance their object memory skills.
Desain Sistem Pendeteksi Plat Kendaraan Untuk Pengisian BBM Menggunakan Metode K-Nearest Neighbor (KNN)
Authors: Mazlan Mazlan , Ismaredah Ewi , Simaremare Haris , Kharisma Oktaf Brillian
Published: January 2024

This study aims to design and develop a vehicle plate detection system for refueling. Applications built using the K-Nearest Neighbor (KNN) method, this method is used to classify vehicle plates. This research will use the OpenCV module in the python programming language to recognize vehicle plates and carry out the pre-processing, segmentation, feature extraction, and classification stages of vehicle Image data. This system will utilize the K-Nearest Neighbor (KNN) method such as edge detection, perspective transformation, and pattern recognition to achieve optimal results. The test results show that the system is able to recognize with high accuracy various types of vehicle license plates under different lighting conditions and viewing angles, thus a system can be created and determined for each license plate to only be refueled once a day. When the vehicle has never been filled on that day, the system will display a green light which means refueling can be done. Whereas for vehicles that have filled in on that day, the system will display a red light which means the vehicle cannot fill up so it must wait the next day after the system is reset. This system will be able to accurately and real-time detect and identify the vehicle plates used in the refueling process. Therefore, the design of this system is expected to be the basis for increasing efficiency in the refueling industry as well as providing a basis for the development of further research in this field.
Analisis Rancangan Sistem Monitoring Posisi Hewan Menggunakan Lora
Authors: Afdhaluddin Muhammad , Palingga Ilsa
Published: January 2024

For some people, having a pet can relieve stress or fatigue. There are also people who raise animals to supplement their income. Animals such as cats, cows and goats are animals that are often found in settlements and areas. Usually these animals are released in apartments. Of course, once released, the owner will no longer be able to control his pet. That's why we need a device to control these pets. Based on the above information, it is necessary to have technology that is focused on surveillance systems. This technology uses surveillance devices based on the Internet of Things (IoT). The task of the monitoring device is to retrieve and collect data from the environment being measured. There are main components such as Arduino Nano 328P, NodeMCU ESP8266, LoRa, Ublox NEO-6M Gps and Android. This system has two tools, a transmitter and a receiver. First, the transmitter sets up a TET connection. When the connection is stable, the base station's GPS recovers local information in the form of longitude and latitude. After the data is successfully retrieved, the data is stored and the location is sent to the recipient (LoRa). After receiving the data (LoRa), the receiver will set up the connection first, when the connection is stable, the data received from the transmitter will be sent to the server and displayed on the App. The tool works well at a maximum distance of ±35 meters and if the tool works at a distance of 25-35 meters the coordinate point is still legible but not accurate. If the tool works more than 40 meters then the coordinates will not be read at all. The distance and position of the transmitter can affect the results on the display in the Blynk application and the coordinate points on the Arduino.
Analisa Sentimen Pelanggan pada Review Belanja Online Berbasis Text Mining Menggunakan Metode K-Means
Authors: Amalia Nurul , Royanti Nur Ika , Indrayanti Indrayanti , Ismanto Bambang
Published: January 2024

Technological developments have changed conventional sales to online sales. In online sales, a review from a customer is a very important thing that needs attention, because customer reviews will show the quality and credibility of a sale. Customer reviews can increase or attract new customers or vice versa. Therefore reviews from customers need to be carried out sentiment analysis to know and understand, preferences and feelings of customers towards a product or service in online business. One of the analyzes that can be done is by clustering reviews from customers so that it can be seen from what side the customer dissatisfaction arose. In this study an analysis will be carried out by utilizing text mining from customer reviews by conducting clustering reviews using the K-means method. By grouping customer reviews, a model can be formed to classify the types of reviews according to their class. From the research conducted, it can be concluded that the k-means clustering method can be used to analyze customer sentiment grouping with the number of clusters produced there are 3 groups, namely in cluster 1 complaining about slow delivery, in cluster 2 it leads to a mismatch of goods ordered with goods received by customers, while the results of cluster 3 customer sentiment lead to service and packing. The results of this modeling can be used as a basis for making improvements in sales services at online stores.
Aplikasi Penjadwalan Dan Monitoring Terapi Anak Dengan Autisme Berbasis Android Menggunakan Metode RUP (Rational Unified Proces)
Authors: Sudiatmika I Putu Gede Abdi , Jayaningsih A A Raka , Rahardian Rifky Lana , Dewi Komang Hari Santhi
Published: January 2024

Currently, the trend is that the number of children with autism spectrum disorders (autism) is growing in Indonesia is showing an increasing number and a wider spread, not only in urban areas but also in villages and remote areas. Early and intensive treatment and choosing the right method will make a difference for children with autism to achieve behavior that is appropriate to the child's age. The method of handling autistic children is often called an intervention or a treatment that is repeated. Intervention or therapy is carried out at a child autism center or service. Based on the research team's search for autism service centers (PLA), there are approximately 20 autism and disability service centers in Denpasar. Autism service centers usually have therapy services including speech therapy, occupational therapy, physiotherapy, and aquatic therapy. At this time, the use of smartphones has become a way of life for almost all levels of society. People are used to using Android smartphones to communicate through social media. In general, these smartphones have not been utilized optimally for productive activities. This research will discuss an Android-based application that was developed to assist administration services to PLA in the form of data collection on children with autism. The system development method used is the RUP (Rational Unified Process) method. RUP is a software engineering method developed by collecting various best practices in the software development industry. The system to be built has 2 actors, namely the PLA admin and parents as users. The PLA admin is in charge of managing administration such as child data, therapy data, therapy schedules and history of therapy results. Based on the calculation results from the Likert scale, the authors conclude that the level of user satisfaction in terms of benefits ranges from 88.5% which is in the satisfied category, in terms of effectiveness it is obtained 91.1% which is in the very satisfied category, in terms of interface it is obtained 86.5% which is in the very category satisfied and in terms of content, it was found that 89% were in the very satisfied category.
Chatbot-Based Book Recommender System Using Singular Value Decomposition
Authors: Attalariq Muhammad , Baizal Z. K. A.
Published: January 2024

In the era of information overload, finding the right book that matches one's preferences and interests has become a challenging task for users as many online book provider service websites such as Amazon, Goodreads, and Gramedia provide books of various types and choices. Recommender systems can be used in addressing such issues, it works by filtering information that provides predictions and suggests the best product or service to the user. Currently, various book recommender systems have been developed, but the systems do not provide interaction between the user and the system. Therefore, we propose a recommender system built with a conversational approach so that it can interact with natural language. Recommender system built using matrix factorization method with Singular Value Decomposition (SVD) algorithm, SVD is proven to have advantages for handling large datasets, extracting features, reducing noise and dimensionality so as to speed up computation. We performed two types of evaluation on the system. First, we tested the prediction accuracy using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) metrics. Second, we use questionnaires to measure user satisfaction levels. The evaluation of the system shows that the results of the prediction accuracy obtain an MAE value of 0.6481 and an RMSE value of 0.8287. Then, the accuracy performance of the system found that 83.2% of users get recommendations according to their interests. The user satisfaction with the whole system is 87.9%. The system built can provide a fairly good recommendation performance, and the chatbot can interact well with users based on the evaluation results obtained.
Analisa Perbandingan Metode MAUT dan Metode TOPSIS Dengan Menggunakan Pembobotan ROC Dalam Sistem Pendukung Keputusan Pemilihan Calon Kepala Desa
Authors: Rifqi Ahmad , Aldisa Rima Tamara
Published: January 2024

This study aims to carry out a comparative analysis process between the MAUT method and the TOPSIS method using ROC weighting. The MAUT method functions to deal with problems in decision making that link several interrelated attributes, in which the method combines the decision maker's preferences for the relevant attributes by giving a weight value to each attribute. Meanwhile, the TOPSIS method is used to select the best alternative from the many choices based on their relative distances from the ideal solution. In this study, weighting using the ROC method is used to objectively determine attribute weight values. The results of the research conducted show that the MAUT Method and the TOPSIS Method with ROC weighting can give good results in determining village heads. The results of the ranking using the MAUT method are A4 with a value of 0.950. while the ranking results using the TOPSIS method are A4 with a value of 0.917.
Perancangan UI/UX Aplikasi Buku Online Mizanstore Berbasis Mobile Menggunakan User Centered Design
Authors: Hamdanuddinsyah Muhammad Hafizh , Hanafi Mukhtar , Sukmasetya Pristi
Published: January 2024

Currently, e-commerce has become a crucial necessity for society as it provides convenience and comfort in shopping. MizanStore, as an e-commerce platform, enables people to search for and purchase various products they need without leaving their homes. In this ever-evolving era, the use of mobile platforms is preferred over websites due to advantages such as easy accessibility and better user experience. Hence, a research study was conducted to design optimal user interface (UI) and user experience (UX) through the development of the MizanStore mobile application. The User Centered Design (UCD) methodology was implemented in this research, involving four main stages. These stages encompassed understanding the application's usability, conducting in-depth analysis of user needs, developing responsive design solutions, and evaluating through continuous testing. By employing this approach, existing issues were identified and addressed, resulting in a prototype design model that aligns with user expectations and desires. Testing was conducted with the participation of 10 users, utilizing the System Usability Scale (SUS) questionnaire. The results indicated that MizanStore obtained an average SUS score of 90, demonstrating high user satisfaction and alignment between the application and their needs. These findings provide a solid foundation for further improvement and development of MizanStore. Consequently, MizanStore can continue to deliver an optimal shopping experience and better meet user needs.
Analisis Sentimen dan Sistem Pendukung Keputusan Menginap di Hotel Menggunakan Metode CRISP-DM dan SAW
Authors: Singgalen Yerik Afrianto
Published: January 2024

Research combining sentiment analysis approaches with decision support systems in the hospitality industry is still very limited. This study aims to analyze hotel guest sentiment based on location, cleanliness, service, and value criteria using Cross Industry Standard Process for Data Mining (CRISP-DM) to identify five and ten famous words based on sentiment data and the sentiment classification model with the best performance. Furthermore, the results of identifying five and ten famous words based on sentiment data related to location, cleanliness, service, and value ratings were processed using the Simple Additive Weighting (SAW) method. The results of this study show that the performance of SVM algorithms using SMOTE operators has accuracy values (99.74%), precision values (100%), recall values (99.48%), f-measure values (99.74%), and AUC (100%). This shows that sentiment classification results using the SVM algorithm with SMOTE operators can be used as a sentiment data classification model with 30% training and 70% test data. This model is relevant to be used as a model for the classification process of 1680 review data obtained from the Tripadvisor website at Grand Zuri Malioboro Hotel Yogyakarta, Tentrem Hotel Yogyakarta, Grand Ambarukmo Hotel, El Royale Yogyakarta Malioboro, and Ceria Hotel @alun alun Yogyakarta. Specifically, aspects that concern guests relate to staff, breakfast, room, and service. In addition, the results of the implementation of the SAW method show that Grand Zuri Malioboro Hotel Yogyakarta ranks first with a total value of 0.907663917. Otherwise, Ceria Hotel @alun Yogyakarta Square ranks second with a total value of 0.897193878. Meanwhile, Hotel Tentrem Yogyakarta ranks third with a total value of 0.861265289. This shows that hotel guests who assess the criteria of location, cleanliness, service, and value by giving value weights as rated on the Tripadvisor website and provide importance weights with similar values, where location (0.20), cleanliness (0.25), service (0.30), value (0.25) then the alternative with the highest weight is Hotel Grand Zuri Malioboro Yogyakarta.
Sistem Informasi Penilaian Prestasi Kerja Pegawai dengan Metode Pengembang Perangkat Lunak Model Waterfall
Authors: Candraningrum Niken , Sunarko Ponco , Kasliono Kasliono
Published: January 2024

Providing an assessment of employee work performance is a method for evaluating their competence with the aim of development to produce competitive employees. A Civil Servant (PNS) who achieves good (high) work performance should get a reward (compensation) that is comparable. It aims to motivate and reward civil servants for improving performance. However, some opportunities can turn into threats if they are not anticipated, such as negative responses from the public if the government is unable to improve the quality of its employees' performance. Inaccurate and ineffective assessments can cause the process of assessing the performance and quality of State Civil Apparatus (ASN) to be inaccurate and inappropriate. Therefore, an assessment system is needed that is relevant, practical, reliable and acceptable so that the assessment results are more accurate good and useful for employees and personnel administration at the Pontianak Fisheries Training and Extension Center (BP3). This system refers to the Waterfall model, where the progress of a process is considered to flow continuously like a waterfall. In the waterfall model, each step must be sequential and you cannot proceed to the next step but must complete the first step then proceed to the second step, and so on. With the system that has been built, the employee performance appraisal process can be well-documented and more transparent. The results of testing using the black box testing method showed that the system functionality could meet all the expected requirement specifications.
Penerapan Metode Maut Dengan Pembobotan Entropy Dalam Sistem Pendukung Keputusan Penilaian Kinerja Guru Honor
Authors: Puspa Nola Dita , Mesran Mesran , Siregar Annisa Fadillah
Published: January 2024

The author examines the Smart Pure Vocational School, because the school has problems in assessing the performance of the best honorary teachers. Where the presence of a large number of teachers, of course, affects the speed of the assessment process and the accuracy in assessing the performance of the best honorary teachers. So the researchers created a decision support system that could assist the school in the process of evaluating honorary teacher performance. In a decision support system that is carried out using the MAUT method with Entropy weighting, where Entopy weighting is used to determine the criterion weight value of each predetermined criterion while the MAUT method is used to produce ranking results based on the alternatives and criteria that have been determined. So the results obtained from the decision support system that has been built using the MAUT calculation method with Entropy weighting, are very aimed at facilitating the Smart Pure Vocational School in the process of evaluating the performance of the best honorary teachers objectively, quickly and precisely. So as to produce results with a value of 0.9611 from alternative A12 on behalf of Siti Maimunah.
Pengembangan Sistem Monitoring Pemeriksaan Pasien di Instalasi Kedokteran Nuklir Berbasis Open-Source ERP dengan Metode Quickstart
Authors: Lutfi Diandra Muhammad , Kurnia Septo Hediyanto Umar Yunan , Ridwan Ari Yanuar , Kusumahstuti Kharisma Perdani
Published: January 2024

As a national reference center for nuclear medicine services, the general hospital in the Bandung area is required to consistently enhance the quality of its services, including improving patient care and reducing errors that occur during the patient examination process. Currently, the nuclear medicine installation department offers 45 types of examination services, resulting in a high volume of daily patient examinations. This situation presents a distinct challenge for the nuclear medicine installation department as it lacks a system for monitoring patient examinations. The issue of data and information integration becomes crucial in patient examination activities, particularly because a lack of integration can lead to suboptimal examination reporting processes. This research aims to develop an monitoring system for patient examination activities using the Odoo application, employing the Quickstart development method. The primary focus of this study is on the integration of data and information in monitoring patient examinations. Each patient examination data can be input into the Odoo application, centralizing the storage of data and information. This research aims to offer a solution to the challenges faced by integrating business processes with patient examination monitoring systems. It also proposes data and information integration within patient examination activities and other departments within the nuclear medicine installation. This integration will result in a well-structured reporting system that is easy to generate, providing various forms of patient examination reports as an outcome.
Rancang Bangun Aplikasi Petani Sawah Sugita Menggunakan Algoritma Dijkstra Untuk Mempermudah Penjualan Hasil Pertanian
Authors: Sutresno Stephen Aprius , Suni Eugenius Kau
Published: January 2024

In general, the buyers of rice field produce are often middlemen who offer the lowest possible prices to the farmers. This is due to the lengthy distribution chain that causes a significant price difference between the low prices paid to farmers for their rice and the high prices consumers pay for milled rice. Therefore, in an effort to cut out the distribution chain that disadvantages both farmers and consumers, the idea of developing the Petani Sawah Sugita mobile-based application emerged. This application enables farmers to sell their rice and milled rice directly to consumers at prices that benefit both parties. The research was conducted by applying the four main stages of the SDLC. The requirements analysis phase involved observations and direct interviews with farmers in one of the rice fields located in the Ciasuk area, Tangerang Regency, Banten. The design phase was carried out by creating UML diagrams. The implementation phase was done with the assistance of Android Studio, resulting in the Sugita Rice Field Farmer mobile application. The application's standout feature is the location search for farmers or nearest products from users, built using the Dijkstra algorithm. The system testing phase was performed using black box testing. The test results showed that 105 out of 114 test cases, or 92.1%, met the expected outcomes. In conclusion, the development of the Sugita Rice Field Farmer application proceeded well and was successfully implemented. This application can help reduce product delivery costs and foster relationships between users and farmers. Furthermore, it simplifies the process for farmers to market their agricultural products to the wider community and provides valuable experience for farmers to stay up-to-date and leverage existing technology advancements.
Sistem Pendukung Keputusan Untuk Menetukan Jenis Perawatan Wajah Menggunakan Metode AHP dan SAW
Authors: Lestari Reni , Putri Raissa Amanda
Published: January 2024

Currently, facial care is highly desired by society, especially for women in this world. Problems with the face can be caused by unsuitable care products used because they don't know the problems with each individual face. One of the treatments that can be done is at the Putri Ms Glow store, where we can ask for solutions or good consultations in dealing with problems on each patient's face. Given these problems, it is necessary to create or design a web-based Decision Support System using the AHP and SAW methods. The existence of the AHP and SAW methods can be expressed as a comparison that can make it easier to calculate a ranking weight between alternatives. In order to make it easier for patients to carry out consultations or treatment, the design of this web application was carried out using a system that was designed or a system that is currently running, where data is obtained from the results of observations or interviews in order to determine criteria and alternatives in making decisions for Putri Ms Glow. After the data is collected, weighting calculations are carried out from AHP and after that they are ranked using SAW to determine which patients are prioritized first. Based on the results of research and calculations that have been tested using the AHP method, it helps weight alternatives and criteria with a weight scale of 1-9 , after the weighting was carried out, the ranking was carried out using the SAW method to get the final score, rank 1 was obtained by Resti with a final score of 1.0067 and rank 15 was obtained by Suci with a final score of 0.5633. The before, it is the priority for Resti to get treatment first.
Komparasi Metode Perhitungan Jarak K-Means Paling Baik Terhadap Pembentukan Pola Kunjungan Wisatawan Mancanegara
Authors: Mutawalli Lalu , Fadli Sofiansyah , Supardianto Supardianto
Published: January 2024

Understanding patterns among foreign tourists is an urgent matter. These patterns can become knowledge that helps in making better decisions because they are data-driven. The pattern to be elaborated on is regarding the clustering of visits by foreign tourists to tourist destinations in Jakarta. Data mining is an approach that extracts knowledge patterns from a dataset. K-Means is one of the data mining algorithms used for clustering data, where data is grouped based on similarity in features and attributes. This study compares the Euclidean Distance, Manhattan Distance, and Haversine Distance methods to obtain more representative data clusters for the datasets. The datasets in this study are not normally distributed due to outlier data; hence, the DBSCAN algorithm is used for improvement without removing or cutting the data, as it can result in a significant amount of missing values that could affect information that does not align with empirical facts. In this study, 5 clusters were created based on elbow calculation results. The K-Means cluster testing in Euclidean distance yielded a Silhouette Score of 0.36, Inertia of 0.86, and Davies-Bouldin Index of 2.39. The Manhattan method resulted in a Silhouette Score of 0.65, Inertia of 1.46, and Davies-Bouldin Index of 0.47. Meanwhile, applying the Haversine method resulted in a Silhouette Score of 0.36, Inertia of 0.03, and a value of 2.39 for the Davies-Bouldin Index.
Analisis Sentimen Terhadap Bakal Capres RI 2024 di Twitter Menggunakan Algoritma SVM
Authors: Handayani Arfina , Zufria Ilka
Published: January 2024

In 2024, Indonesia will hold an election for head of state which will be the pinnacle of democracy in its political system. In the context of democracy, active community participation plays a key role in making general elections successful. However, there is still a tendency for people to only follow election procedures without actively participating. Therefore, this research was conducted to analyze public sentiment towards the 2024 presidential candidates, using data from social media Twitter. Social media, especially Twitter, has become the main platform for Indonesian people to express their political opinions, views and preferences. With the number of social media users reaching 170 million in 2021, Indonesia has great potential to gather various opinions and sentiments regarding general elections. This research aims to analyze sentiment using the Support Vector Machine (SVM) method on tweets containing hashtags related to three presidential candidates, namely Aniesbaswedan, Ganjarpranowo, and Prabowosubianto. The results of sentiment analysis show that the SVM method can be used to analyze sentiment with an accuracy of around 78.3 % overall. This accuracy is influenced by factors such as the amount of data used and the composition of positive and negative data. The sentiment data analyzed came from 1719 tweets from Twitter users, with a distribution of around 597 data for Aniesbaswedan, 627 data for Ganjarpranowo, and 495 data for Prabowo Subianto. This research provides insight into how Indonesian people convey their sentiments regarding the 2024 presidential candidates via social media. . This sentiment analysis can be an important reference in understanding the public's political preferences ahead of the upcoming general election.