bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Data Mining Untuk Mengukur Kepuasan Mahasiswa Terhadap Pembelajaran dengan Menggunakan Algoritma Naïve Bayes
Authors: Triayudi Agung , Soepriyono Gatot
Published: October 2023

Education is very important for life, with education can help in improving Human Resources (HR). Human Resources (HR) in universities are students. Increased competence in students carried out in higher education is carried out by learning. The process carried out in learning is very influential on the results obtained from learning both competencies and abilities possessed by students. Based on this, it is necessary to improve learning in higher education in order to support good results. Measuring the level of student satisfaction with learning can measure the extent to which the learning process has been carried out. The process of measuring the level of student satisfaction with learning is done first by collecting data. After collecting data, the data processing process is carried out to get the expected results. Errors in the data processing process, the results obtained are also not in accordance with the objectives carried out. Therefore, to solve the problem it is necessary to do it with the right process by using a separate method or technique where the method is data mining. Data mining is a method or technique used for data processing. The data processing process carried out in data mining is carried out on large data. The Naïve Bayes algorithm is an algorithm that is included in the classification of data mining techniques. Where the process in the nave Bayes algorithm is very dependent on the grouping process carried out on each attribute and also the target class of each object. The results of the study show that the probability value of PUAS is 0.034108116 and the probability value of NOT SATISFIED is 0. This indicates that the result of decision making is SATISFIED.
Penerapan User-Centered Design Method Guna Pembaruan Substansi Terhadap Informasi dan Data-Data pada Website
Authors: Sabandar Vederico Pitsalitz , Sussolaikah Kelik , Roring Riovan Styx
Published: October 2023

The research carried out aims to carry out a substantive update of information and data on the website of the Mathematics Education Study Program, FKIP, UNPATTI. The research carried out applies the User-Centered Design (UCD) method, which is a method in a design that focuses on user needs. Broadly speaking, in using the UCD method, the research conducted was divided into three main stages, namely analysis, design, and evaluation with the process of implementing the UCD method using ISO 9241-210: 2019. Furthermore, the research conducted involved 44 respondents who were used as target users and categorized into two groups, namely the academic community (lecturers and students) and non-academic members (prospective students and alumni). Based on the results of the research conducted, 9 formulations of user requirements were obtained, followed by making a website interface design in the form of a prototype (wireframe). Furthermore, the resulting prototype is then evaluated by providing a series of task scenarios to guide users in using the website. The evaluation was carried out using a qualitative survey method, namely interview activities aimed at obtaining feedback regarding user experience on the appearance of the website design interface as well as obtaining recommendations and suggestions for further development. Based on the evaluation carried out, the result was that the resulting website design met user needs. This is because the design is produced as a solution to user needs, by a series of requirements submitted by users. In addition, the design of the website interface also provides a satisfying user experience. Therefore, the research carried out does not occur repetition (iteration), so it can proceed to the implementation stage. Furthermore, at the prototype implementation stage, the results of the website design are then converted into an interface display using the Content Management System (CMS) Framework and supporting programming languages ​​such as HTML, CSS, PHP, and Javascript. The website of the Mathematics Education Study Program which has been successfully updated for the substance of both the information and data contained therein can then be accessed via the official link of the Mathematics Education Study Program, FKIP, UNPATTI..
Penerapan Metode ROC-TOPSIS dalam Keputusan Penerima Program Keluarga Harapan
Authors: Valentine Hany Maria , Ramos Samuel , Nugroho Fifto , Mesran Mesran
Published: October 2023

Poverty is one of the most difficult social problems to be solved by the Indonesian government, even in other words, the problem cannot be eliminated. So that the Indonesian government seeks to reduce the level of poverty by making social assistance programs to people who have economic problems. There are many aid programs set by the Indonesian government, one of which is the Family Hope Program (PKH). The Decision Support System is applied in this study as a system for the decision of the recipient of the family of hope. In determining the decision of the recipient of the right family program, it must meet the criteria for Poor Card Ownership, Employment, Income, Number of Dependents and Home Ownership Status. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the ROC (Rank Order Centroid) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods which can generate weight and preference values ​​from the first ranked alternative. . So that the recipient of the family of hope program lies in alternative A2 on behalf of Joko Sutirno with a value of 1.0000.
Klasifikasi Citra Jenis Daun Berkhasiat Obat Menggunakan Algoritma Jaringan Syaraf Tiruan Extreme Learning Machine
Authors: Rumandan Rhaishudin Jafar , Nuraini Rini , Sadikin Nanang , Rahmanto Yuri
Published: October 2023

Leaves are one part of a plant that has benefits for humans, especially for the health of the body. Leaves can be used as herbal medicine which can be an alternative that can help in increasing immunity and body resistance. However, not all leaves have medicinal properties, therefore knowledge of the types of medicinal leaves is important. The aim of this research is to develop a classification system for the image of medicinal leaves using the Extreme Learning Machine (ELM) artificial neural network model. To support the ELM algorithm, morphological feature extraction is used which can provide information about the shape characteristics of existing objects. Extreme Learning Machine (ELM) is also known as an artificial neural network approach that uses one hidden layer. At the classification stage, the Extreme Learning Machine (ELM) algorithm can determine the weight value between the input neurons and the hidden layer randomly so that the learning pattern becomes faster. Based on the results of the precision, recall and accuracy tests, the precision value is 90.67%, the recall value is 89.47% and accuracy of 90%. So, based on these results it can be said that the ELM model that was built can classify images of leaf types with medicinal properties well.
Sistem Pendukung Keputusan Dengan Menerapkan Metode Multi-Attribute Utility Theory Pada Pemilihan Content Writer
Authors: Aldisa Rima Tamara
Published: October 2023

Content Writer is an important profession in the process of creating interesting content. The definition of Content Writer is a professional writer whose job is to write concepts of interesting content which will eventually be produced in online media. The income that is large enough for this profession results in many people being interested in working in that field. Therefore it will be difficult for those who open jobs in the field of Content Writers to choose who should be chosen. To select Content Writer candidates, it is better to use a system so that with this system it can help interested parties so that the results of the selection are not subjective or impartial. A good system to use is a decision support system. decision support system (DSS) is the development of an information system using the same way of working as an information system, namely a computer-based system. This SPK can be used in conjunction with supporting methods such as the MOORA method, the PSI method and so on. In this study the method used is the DEATH method. The MAUT method or the Multi-Attribute Utility Theory (MAUT) method is a method that prioritizes quality as a comparison so that the quality of each criterion will be considered as the first choice. Based on the calculation results from the MAUT method, a result of 0.6701 is obtained with the alternative A3 On behalf of Aldi as the best alternative that deserves to be accepted as a content writer.
Penerapan Metode TOPSIS Dalam Sistem Pendukung Keputusan Kelayakan Penerima Pinjaman Kredit
Authors: Iskandar Agus
Published: October 2023

In determining the eligibility of loan recipients at Finance companies, it is carried out with the approval of the Head Office, then the stage of checking customer data is carried out with the approval of the office manager. Furthermore, in analyzing the decision-making eligibility of customers receiving credit loans, using a manual system that takes a long time, therefore, a decision support system is needed that functions to minimize excess or lack of data. In this study, it will be explained how the process of determining alternative credit recipient customers applies the TOPSIS method. The research results will produce the highest ranking value which will be determined as the highest alternative. The data used in this study are 10 alternative data samples using 5 criteria, so that the results of calculations that have been carried out using 8 alternatives and 5 criteria produce the best alternative, namely alternative A2 above with a value of 0.848 as a recommendation for a customer who will be entitled to receive a loan from finance company.
Komparasi Metode Weighted Product (WP) Dan Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Dalam Menentukan Pembangunan Infrastruktur Desa
Authors: Makmur Yandi , Triayudi Agung , Gunawan Arie
Published: October 2023

Government initiatives to give villages more power include village development. In accordance with local village government policies, there are specific criteria for allocating village infrastructure development funds. The goal is for village infrastructure development to be more equitable and directed. Priorities for developing village infrastructure must be decided. Decisions on village infrastructure development are still made by voting, and often more significant developments have to be postponed due to a vote loss. To determine priorities for village infrastructure development, village officials can use a decision support system (Decision Support System). Village infrastructure development priorities are determined using the Simple Additive Weight (SAW) and Product Weight (WP) methodologies. Each proposal will be assessed according to the criteria selected by the village to set development priorities. It is hoped that by creating a decision support system it will be easier, more accurate and faster to determine development priorities in the village of Rawa Panjang when using the SAW and WP methodologies to prioritize village infrastructure development. Results Based on the research, it is recommended to use the WP method to determine the ranking, because the level of suitability of data in the field is higher than SAW which was found to be 99.87 WP and SAW was determined to be 99.27%
Diagnosa Kecanduan Gadget Pada Anak Usia Dini dengan Metode Fuzzy Sugeno dan Fuzzy Mamdani
Authors: Setiawan Rama , Triayudi Agung , Gunawan Arie
Published: October 2023

The Tsukamoto fuzzy logic method is one method for problem solving control systems, which is good to implement with a system method that will use human knowledge that can be entered into the system on a computer to find and solve problems that usually require expertise or expertise. looking for a truth. The purpose of this study is to analyze and find methods that can be used in diagnosing gadget addiction in early childhood, and to compare two fuzzy methods that will be used as methods to diagnose gadget addiction in early childhood. The methods used in this study are expert system methods, namely fuzzy sugeno and fuzzy mamdani. The results showed that many children experience addiction to gadgets with a susceptibility to 1-4 hours of use time in one day. The level of addiction in boys is somewhat higher than in girls, the large number of children who are addicted to gadgets at a very early age to recognize and experience addiction to gadgets is the author's main goal to make this thesis if it can be used to monitor the level of gadget addiction in early childhood, research on the contribution of the method of applying the method the fuzzy sugeno and fuzzy mamdani algorithms in diagnosing gadget addiction in early childhood and the contribution to this method is the application of the fuzzy mamdani method and the fuzzy sugeno method to the fuzzy algorithm and the problem of this research is to determine the results of defuzzification of the data that has been obtained.
2024 Presidential Election Sentiment Analysis in News Media Using Support Vector Machine
Authors: Iqbal Bayu Muhammad , Lhaksmana Kemas Muslim , Setiawan Erwin Budi
Published: October 2023

The 2024 presidential election is an event for all Indonesian people to determine their best leader. The presidential and vice presidential candidates are also competing to give their best efforts so that they can be elected as President and Vice President. The news media also provide news related to the 2024 presidential election with various titles that can interest their readers. Not infrequently the titles raised contain words that have sentiments, both positive and negative. In order to facilitate the analysis of the sentiments of these news titles, it is necessary to build a system that can detect the sentiments of these titles. In this study, we built a sentiment analysis system using the Support Vector Machine (SVM) method on news headline data obtained from online news media to detect whether news headlines contain positive or negative sentiments. For feature exctraction we compare the effect of FastText word embedding with TF-IDF for feature extraction. In the SVM method, several experiments were carried out on the attributes of C, kernel, gamma, and the ratio of the test data. The results obtained are a FastText can outperform TF-IDF for feature extraction. Also, combination of Kernel, C, and gamma values that give the best accuracy score of rbf, 1, and auto respectively at a test data ratio of 90:10, with an accuracy score of 99%.
Optimizing LQ45 Stock Portfolio To Maximize Sharpe Ratio Value Using LSTM
Authors: Salsabila Tasya , Saepudin Deni , Rohmawati Aniq Atiqi
Published: October 2023

Investment is an investment activity within a certain period with the hope of getting a profit. Things that need to be considered by investors when investing are not just yields (return), but investors need to consider the purpose of the investment and the investment period. This study optimizes the formation of portfolios by utilizing the predicted value of stock prices using LSTM. The test used five daily stock indices from LQ45, namely BBCA, BBRI, TLKM, UNVR, and BMIR, from April 2010 – April 2020. The portfolio was built using the Genetic Algorithm and Equal-Weight (EW) method. Portfolio of Genetic Algorithm and Equal-Weight (EW) without predictions used as a benchmark. The experimental results show that using the LSTM prediction and Genetic Algorithm can produce an optimal portfolio with the highest Sharpe ratio value at 1.3950.
Sistem Pendukung Keputusan dalam Mendiagnosa Gejala TBC dengan Metode WASPAS dan CPI
Authors: Primulyana Akhmad , Triayudi Agung , Gunawan Arie
Published: October 2023

Mycobacterium bacteria is the cause of tuberculosis, an infectious disease that attacks the respiratory tract in humans and can easily spread through the air. In 2012, WHO data showed that tuberculosis is an infectious disease that causes the second largest health problem in the world. Tuberculosis is a disease that can attack other parts of the body as well as the lungs. The sooner a person finds out he has tuberculosis and gets tested, the more likely he will recover faster. There are many detection methods, but many are time consuming. A decision support system is needed using the WASPAS method and the CPI method which are capable of diagnosing tuberculosis. To overcome this problem. By forming a decision tree represented by rules, this decision support system implements Rank Order Centroids, one of the classification techniques in machine learning used in the data mining process. This study produces a system that is expected to make it easier for the general public to obtain timely and accurate information for diagnosing tuberculosis. A decision support system for diagnosing tuberculosis was developed as a result of this study. After being tested with 100 patient data, 50 as training data and 50 as testing data, the Confusion Matrix produces an accuracy value of 90%.
Comparative Analysis of Max-Throughput and Proportional Fair Scheduling Algorithms in 5G Networks
Authors: Damayanti St. Nur Hikmah , Karimah Siti Amatullah , Setyorini Setyorini
Published: October 2023

Mobile network service use is growing, especially after the Covid-19 pandemic. To improve the quality of mobile network services, 5G comes as a network service ecosystem with low latency, which is 1ms, or about 10 times lower than 4G, making 5G able to provide more efficient access, especially in real-time network utilization. Maximum speed can be obtained by sharing limited bandwidth. The limited amount of available bandwidth causes the need for a Packet Scheduler, which aims to improve the efficiency and fairness of bandwidth usage. This research uses two packet schedulers comparing the Proportional Fair algorithm and the Max-Throughput algorithm using test scenarios for changes in the number of users and user speed. The resulting output value analyzes resource limits such as frequency, power, speed, and time in each scenario to allocate resources so that their use remains efficient with a Quality of Service that remains stable and maintained. In simulation testing using the 5G-air-simulator, the average value obtained in the delay is 1,394 ms, throughput is 0,636, and fairness index is 0,967.
Sistem Pakar Diagnosa Penyakit Influenza (Flu) Menggunakan Metode Forward Chaining
Authors: Purnamasari Indah Suci , Indahyanti Uce , Astutik Ika Ratna Indra
Published: October 2023

Expert system is a technology that is widely used in the health sector, one of which is for disease diagnosis. Influenza (Flu) is one of the respiratory diseases caused by a virus called the influenza virus. Diseases caused by climate change are usually Influenza (Flu) and cold diseases, which are often considered the same by society. The purpose of this study was to design an expert system application for the diagnosis of these two different diseases, namely flu and colds. The research data is sourced from data from the Ministry of Health of the Republic of Indonesia (KEMENKES). The design of this expert system application uses the forward chaining method with google appsheet and google sheet tools. The results showed that all the features of the application have worked properly after being tested using the black box testing method. This application also helps people be able to distinguish flu and cold diseases, it is shown through the results of an online survey that 91% of respondents need this expert system application.
Komparasi CNN dengan ResNet Untuk Klasifikasi Paling Akurat Tingkat Keganasan Diabetes Berdasarkan Citra Retinopathy
Authors: Mutawalli Lalu , Zaen Mohammad Taufan Asri , Yuliadi Yuliadi
Published: October 2023

Diabetes becomes an infectious disease that has a very significant increase, it's increasing not only in old age or even suffered by a young age. Based on the Data and Information Center of the Ministry of Health of the Republic of Indonesia, the prevalence of diabetes is 9% in female genitals and 9.65% in male genitals and is estimated to increase to 19.9% with the addition of population age. Currently, the Machine Learning (Depp learning) approach is widely used in carrying out the calcification of medical image data. Retinopathy Diabetes image data can be used as material to build a classification model by utilizing the Convolutional Neural Network (CNN) algorithm and Residual Network (ResNet). The test results in the model developed in this study were the comparison showing the accuracy level of CNN 68.49% while the ResNet was 81.23%, in the CNN loss test 32.57% while the ResNet was 12.59%. In the Scenario of the application of Learning Rate 0.0005 also the ResNet is better than CNN, in the CNN Learning Rate Application Scenario producing an accuracy value of 68.49% while the ResNet adopts an accuracy value of 81.84% and on the CNN loss value of 20.14 while the 10.2% Resnet has a higher level of accuracy has a higher accuracy rate Compared to CNN and the application of learning rates it also affects in building a more accurate model in the case study of Retinopathy Diabetes.
Penerapan Algoritma K-Means Clustering untuk Mengetahui Pola Penerima Beasiswa Bank Indonesia (BI)
Authors: A'yuni Qurrata , Nazir Alwis , Handayani Lestari , Afrianty Iis
Published: October 2023

Bank Indonesia Scholarships are a type of scholarship sourced from Bank Indonesia for students from selected State Universities, Private Universities, and Polytechnics. From the data on scholarship recipients who have passed the selection from 2020, 2021, 2022 universities in Riau, it is necessary to look for the behavior patterns of scholarship recipien because Bank Indonesia does not yet have a pattern. To find the pattem from scholarship recipients using the method of data mining with K-Means Clustering algorithm. The parameters used are 4, namely study program, semester, GPA, and level. The results of the study using RapidMiner showed that cluster 0 was dominated by students from the Commerce Shipping Management study program, who were in semester 5 and D3 level. Cluster 1 is dominated by students from the Accounting and Management study program, in semester 7, with GPA greater than or equal to 3.51, and S1 level. Cluster 2 is dominated by students from the Nursing study program, in semester 5, with GPA greater than or equal to 3.51, and D3 level. Cluster 3 is dominated by students from the International Relations study program, in semester 7, with GPA greater than or equal to 3.51, and S1 level. Cluster 4 is dominated by students from the Informatics Engineering study program, in semester 5, with GPA greater than or equal to 3.51, and S1 level. It show that the recipients of Bank Indonesia scholarships are dominated by students with high GPA scores or equal to 3.51. In addition, it is also dominated by students who are at the S1 level. Tests were carried out using DBI with k=5 resulting in a validity value of 0.121.
Impelementasi Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Pegawai Teladan
Authors: Damuri Amat , Lisnawati Tuti , Fariati Wieke Tsanya , Rumandan Rhaishudin Jafar
Published: October 2023

Employees are a human resource asset for a company in carrying out the operational activities of an organization or company in achieving the main goals of the organization or company. The purpose of this study is to select exemplary employees in the company using the MOORA method, so that the company will quickly evaluate exemplary employees once every 6 months. The results of the ranking of exemplary employees who get rank 1 are exemplary employees, namely Zaenal Yuswantoro with a total score of 0.179431073, for rank 2 exemplary employees, namely Yolanda Prasasti with a total score of 0.175703146, and 3rd rank exemplary employees, namely Ahmad Budianto with a total value of 0.174341166. The results of manual calculations and by using a web application based on the Laravel framework show no difference in the results of the grades and ratings of the employees being assessed
Penerapan Algoritma Apriori Pada E-commerce Elektronik
Authors: Iza Nur , Nazir Alwis , Iskandar Iwan , Budianita Elvia , Pizaini Pizaini
Published: October 2023

Because there are so many advantages to using e-commerce, it is now expanding quickly. E-commerce, particularly for electronic items, makes it simpler for customers to execute transactions without traveling. Because businesses (business actors) do not yet have a pattern and strategy for the products they sell, the use of e-commerce has not yet reached its full potential. As a result, sales occasionally suffer because the supply of products does not meet consumer needs, forcing consumers to leave without purchasing these products, which has an impact on transactions. sales firm. Businesses (businesspeople) must use data mining to implement data processing. For this reason, researchers use an application strategy that is appropriate in this situation: the a priori algorithm. Finding frequent itemsets that frequently show up in the data set with the strongest pattern is frequently done using the a priori algorithm. This algorithm's output can be used to assist management in making decisions. According to the study's findings, the rule "if you buy AA Batteries (4-pack), you will buy AAA Batteries (4-pack), "if you buy AA Batteries (4-pack), you will buy a USB-C Charging Cable," and "if you buy AA Batteries (4-pack) and AAA Batteries (4-pack), you will buy a USB-C Charging Cable" all have a support and confidence value of 100%.
Clustering Vaksinasi Penyakit Mulut dan Kuku Menggunakan Algoritma Fuzzy C-Means
Authors: Hidayat Yusril , Nazir Alwis , Candra Reski Mei , Sanjaya Suwanto , Syafria Fadhilah
Published: October 2023

Foot and Mouth Disease is a disease that attacks cloven hooves, this disease spreads very quickly and the mortality rate of infected animals is up to 100%. FMD is caused by type A picornaviridae virus, namely Apthaee epizootecae, which has a development period of 1-14 days after the animal is infected. The delay in handling it can cause many livestock to die and have an impact on cattle farmers. One of the steps taken to prevent the spread of this disease is to eradicate all livestock. The Riau Provincial Government has taken steps to prevent vaccination of all livestock in Riau Province in the form of preventing this disease from becoming more widespread. From these problems, this research will form a data cluster for the PMK program in Riau Province so that the government can improve supervision of livestock to prevent re-outbreaks of foot and mouth disease in Riau Province. The method used is data mining with the Fuzzy C-means algorithm and the data used comes from the Department of Animal Husbandry and Animal Health in Riau Province. The best cluster results after testing is 2 clusters. The most numerous clusters are in cluster 1 with a total of 48704 cows and cluster 2 with a total of 21232. The validity test using the DBI gets a value of 0.416, so it is still far from good
Analisa Kinerja Metode Support Vector Machine untuk Analisa Sentimen Ulasan Pengguna Google Maps
Authors: Cahyani Andharini Dwi
Published: October 2023

Sentiment Analysis is a subset of data mining that analyzes, understands, processes, and extracts textual data in the form of opinions or reviews about a certain object. The advancement of technology, such as Google Maps, can make it easier to find information on the location of an object. Google Maps also gives an object review. These reviews provide information that can be used to examine the feelings expressed by visitors. A text mining methodology with the Support Vector Machine method is utilized to process customer review text data. This method is part of a classification strategy that recognizes and categorizes data into two portions separated by a hyperplane. The data used in this case study are visitors' reviews that is recorded on Google Maps Review of the Eternal Flame, a tourist attraction obejct located in Sumenep.
Sistem Pendukung Keputusan Pengembangan Ekowisata Mangrove Potensial Menggunakan Simple Additive Weighting (SAW)
Authors: Singgalen Yerik Afrianto
Published: October 2023

Adjusting resource availability and traveler preferences will allow for an objective assessment of prospective mangrove ecotourism growth. In order to build mangrove ecotourism destinations effectively, it is vital to identify their priority locations. It is required to create the development program as a criterion and the development zone as a prioritized alternative in light of this. This study used the Simple Additive Weighting (SAW) technique, which includes the following stages: deciding on criteria and alternatives; weighing the relative importance of each criterion; creating a matrix of findings; and ranking the alternatives based on the biggest value. The study's findings indicate that five criteria can be categorized based on benefit and cost with varying relative values: attraction (benefit), ancillary (benefit), accommodation (cost), accessibility (cost), and amenities (cost). Attraction has a relative value of 0.3, ancillary has a relative value of 0.2, and amenities (cost) has a relative value of 0.15. The ranking results showed that the amenity criteria came first, followed by accessibility, then attractions, lodging, and ancillary. Attractions were ranked third, while accommodations came in fourth. This demonstrates the necessity for amenities that pique tourist interest and accessibility through accessible modes of transportation, informational resources, and roads to tourist destinations to support the growth of mangrove ecotourism special interest tourism. The management of mangrove ecotourism destinations can be improved by offering lodging options. Following amenities, accessibility, attractions, and lodging, organizations or groups can be established, and infrastructure in tourist sites can be enhanced. As a result, the SAW approach can be used as a system to help decide which initiatives to prioritize
Perbandingan Triple Exponential Smoothing dan Fuzzy Time Series untuk Memprediksi Netto TBS Kelapa Sawit
Authors: Ramoza Raja Indra , Gusti Siska Kurnia , Handayani Lestari , Ramadhani Siti
Published: October 2023

Oil palm plays a crucial role in agriculture and plantations in Indonesia as a commodity with high economic potential. Net Fresh Fruit Bunches (FFB) production is an essential desired outcome in an oil palm plantation. Net FFB is utilized as the primary raw material for the production of Crude Palm Oil (CPO) and Palm Kernel Oil (PKO). The existing challenge is that companies seek to achieve precise quantities and timing for net FFB production in oil palm. One proactive measure to address this is by predicting the net FFB production. Therefore, the objective of this research is to forecast net FFB production by comparing triple exponential smoothing and fuzzy time series methods. Data processing results demonstrate that both forecasting methods yield excellent quality predictions for net FFB production. In the conducted testing, both methods achieved low forecast error values, with MAPE of 11.14670196% and 10.44596891% respectively. However, fuzzy time series exhibited a lower error value compared to the triple exponential smoothing method. Based on these findings, it can be concluded that fuzzy time series is the most reliable model for accurately predicting net FFB production. The advantage of fuzzy time series in forecasting net FFB production can provide significant benefits for companies in determining appropriate strategies for future planning.
Implementasi AHP Untuk Sistem Pendukung Keputusan Penentuan Prioritas Pembangunan Infrastruktur Daerah
Authors: Purnama Wido , Afdal M. , Permana Inggih , Monalisa Siti
Published: October 2023

BAPPEDA Indragiri Hulu is a governmental organization in Indragari Hulu Regency that aids the government in accomplishing development planning, research, and development-related tasks. However, determining development priorities presents obstacles stemming from the lack of calculation methods and visualization maps to more easily identify the locations of construction sites. To address this issue, a decision support system utilizing the Analytical Hierarchy Process method was constructed. This system considers various criteria, including condition, budget, urgency, usability, and durability, to compare and identify the best development option. Additionally, the system features a Web GIS map visualization function to aid in identifying construction sites. The study found that improving the road in Pematang Rebah City, Rengat Barat District, was the most important alternative, followed by creating box covers for the Tanah Datar Sibabat road in Seberida District and improving roads in Rengat City in Rengat District. This web-based system ranks development priorities and can effectively assist in determining regional development priorities. Based on the results of the Blackbox test, this system is deemed 100% valid, while the User Acceptance Test on this system yields an 81% score, which is highly satisfactory.
Sistem Pendukung Keputusan Dalam Pemilihan Perawat Terbaik Menerapkan Metode SAW dengan Pembobotan ROC
Authors: Abdullah Mohammad Aldinugroho , Aldisa Rima Tamara
Published: October 2023

Activities carried out in the hospital never stop day or night. These activities continue because patients who are sick do not know the term time. Patients will always be there and need help from the hospital both day and night. Therefore, many nurses or nuns are needed to handle complaints from patients every time. A nurse or nurse is someone who has a duty, namely to provide care or care for each individual who is sick. This fact made many people interested in becoming nuns. This resulted in many university graduates graduating with that major. so many apply to become nurses on duty at the hospital. The large number of candidates who applied made it difficult for the hospital to select suitable candidates. Selection that is done manually will take quite a long time and the results of the election are not objective. The solution that can be done to solve these problems is to use a decision support system. Based on the results of this study, information was obtained that a decision support system using the SAW method can solve problems regarding decision making in selecting the best nurse. The result is to produce a value of 0.8160 as an alternative to A4 on behalf of Ratih Setyowati as the best alternative
Analisis Perbandingan Nilai SAW dan TOPSIS dalam Menentukan Keputusan Perjalanan Wisata ke Destinasi Wisata Tematik
Authors: Singgalen Yerik Afrianto
Published: October 2023

This study aims to process information related to ticket costs, facilities, safety, cleanliness, road access, and mileage using the Simple Additive Weighting (SAW) method and Technique for Other Preferences by Similarity to Ideal Solution (TOPSIS) in the selection of natural tourism destinations, cultural tourism, beach, and marine tourism based on the context of North Halmahera Regency. The weights on each criterion that have been determined in the SAW method are as follows: ticket fee (0.30); facilities (0.30); security (0.30); cleanliness (0.30); access roads (0.30); mileage (0.30). Meanwhile, the weights on each criterion that have been determined according to the degree of importance in the TOPSIS method are as follows: ticket fees (5); facilities (4); security (3); cleanliness (3); access roads (3); mileage (3). Based on the results of the implementation of the SAW method in the selection of thematic tourist destinations, it can be seen that: based on the context of natural and adventure tourism destinations, Telaga Paca (A2) tourist destinations occupy the first position with a value of 0.903333; based on the context of historical and cultural tourist destinations, Hibualamo tourist destinations (B6) observed the first position with a value of 0.975; based on the context of beach and recreation tourism destinations, Pitu Beach tourist destinations (C1) occupy the first position with a value of 0.804167; based on the context of marine tourism destinations in the archipelago, Kumo Island tourist destinations (D2) occupy the first position with a value of 0.946429. Meanwhile, the results of the implementation of the TOPSIS method show that:  based on the context of natural and adventure tourism destinations, Telaga Paca (A2) tourist destinations occupy the first position with a value of 0.74523053; based on the context of historical and cultural tourist destinations, Duma Village tourist destinations (B1) observe the first position with a value of 0.86431018; Based on the context of beach and leisure tourism destinations, tourist destinations Tanjung Pilawang (C7) occupies the first position with a value of 0.85054074; based on the context of marine tourism destinations in the archipelago, Magaliho Island tourist destinations (D7) occupy the first position with a value of 0.74142938
Rancang Bangun Konverter Modbus RTU RS485 ke Modbus TCP/IP Berbasis ATMEGA2560
Authors: Sofyan Yusuf , Fitriani Sofy
Published: October 2023

In the electricity’s world, there are panels that are used to display electrical measurements or what is known as a Digital Panel Meter (DPM). This DPM measures physical quantities such as current, voltage, power, frequency and so on. In addition, this panel serves as a monitor for the quality of the electricity supply. In medium voltage systems, DPM is integrated with Automatic Meter Reading (AMR) which functions as a data collection tool for energy consumption of electricity consumers. So this DPM is a very important tool. Problems arise when connecting from one DPM to another, because this DPM usually uses RS-485 for its communication system. Such communication can only be carried out with equipment of the same standard. Therefore, it is proposed to design a Modbus RTU RS-485 converter to Modbus TCP/IP. This is done so that DPM communication can be directly connected to computers or to network devices such as routers, hubs and switches. Stages of research that begins with the analysis of problems and system requirements. Next do the design and realization. From the research conducted, the tool runs well. The test uses the modbus poll software as a comparison of the measurement results from the tool. The results show that the device data and those that appear on the modbus poll have high accuracy, for example, the device shows a voltage of 227.2 V; when using the software the result is 227.25 V
Pengontrolan Robot Bulu Tangkis menggunakan Mikrokontroller ATmega128 berbasis Android Mobile
Authors: Sofyan Yusuf , Ihsan Muhammad , Fitriani Sofy
Published: October 2023

In Indonesia, badminton was one of the most popular sport in various circles. Along with the times, robots can be designed as a device that can be used to play badminton. Robominton was badminton robot which is operated manually by human using a remote control or fully automatic. For a robot that controlled by manual-based, bluetooth or cable connection using joystick was used. This refers to the rules that have been set by DIKTI in “Robot Abu Indonesia (KRAI) 2015” Contest. As for the robot control system that we develop, are robotic system with manual control using android as a transmitter and bluetooth module HC-05 as a receiver. There is a robotic navigation control systems, transmission control systems shuttlecock, shuttlecock and servicing of control systems. ATmega 128 processor, four DC motors, with the EMS driver 30A H-Bridges was used as a hardware on shuttlecock transmission syste,. For shuttlecock services, self-designed pneumatic driver with solenoid valve was used. From the test results, the robot was able to navigate premises 11 formation movement, five pieces of shuttlecock transmission, and can serve up and down with a pneumatic
Clustering Content Types and User Motivation Using DBSCAN on Twitter
Authors: Wikantari Made Mita , Sibaroni Yuliant , Ihsan Aditya Firman
Published: October 2023

We are currently in an era full of information and communication technology. One of the communication media used is Twitter. Twitter is a microblogging service that is used by its users to express their thoughts on a topic called a tweet. Tweets that are posted can be either positive tweets or negative tweets. One of the topics that is currently being discussed by Twitter users is Anies Baswedan as a 2024 Indonesian Presidential Candidate. Many people have tweeted this but it is not known how many users support or reject Anies Baswedan to run as a 2024 Indonesian presidential candidate. To assist the analysis, use the method clustering namely algorithm (Density-Based Spatial Clustering of Application with Noise). DBSCAN has the advantage of being able to detect data that is not included in a cluster and will be considered noise. This can improve the accuracy of the grouping because the data in the cluster will be cleaner. The TF-IDF Vectorizer is used to make it easier for programs to manage data because it can turn sentences into vectors that can be processed by the algorithm. To determine the evaluation of the program, the silhouette score method will be used. The results of calculating the silhouette score show a value of 0.29 with the formation of 3 clusters. Then an analysis is carried out based on the top words from each cluster and it can be identified that cluster 0 has a positive category supporting Anies Baswedan to run for the 2024 Presidential Candidate and cluster 1 has a negative category that does not support Anies Baswedan not advancing for the 2024 Presidential Candidate.
Rekomendasi Pemilihan Laptop Menggunakan Metode Evaluation Based On Distance From Average Solution (EDAS) Berbasis Website
Authors: Kurnia Adi , Midyanti Dwi Marisa , Kasliono Kasliono
Published: October 2023

Laptop kini telah menjadi kebutuhan utama dalam berbagai hal. seperti pekerjaan kantor dan tugas kuliah. Perkembangan fitur dan spesifikasi laptop yang semakin beragam. membuat konsumen kebingungan untuk memilih laptop yang sesuai dengan kebutuhan. Berbagai merek dan tipe laptop yang dijual dengan harga bervariasi juga membuat konsumen kesulitan dalam menentukan pilihan laptop yang sesuai dengan kebutuhannya. Sering kali konsumen membeli laptop dengan spesifikasi yang tidak sesuai dengan kebutuhannya. hal ini dikarenakan memahami spesifikasi laptop sebelum membelinya akan menghabiskan banyak waktu. Untuk mengatasi permasalahan tersebut. diperlukan sebuah sistem yang dapat memberikan rekomendasi untuk pemilihan laptop. Pada penelitiam ini. dibangun sebuah sistem rekomendasi pemilihan laptop dengan menggunakan metode Evaluation Based On Distance From Average Solution (EDAS). Penelitian ini menggunakan 60 data laptop dengan 6 kriteria yaitu harga. kapasitas ram. kapasitas penyimpanan. ukuran layar. jenis prosesor dan berat laptop serta menggunakan 4 merek laptop yaitu Asus. Acer. Lenovo dan HP. Pada penelitian ini nilai bobot dari setiap kriteria diperoleh dari 34 responden. kemudian akan dijadikan acuan dalam menentukan laptop yang akan direkomendasikan. Pengujian dilakukan dengan membandingkan hasil perhitungan sistem dan perhitungan manual. hasil perhitungan sistem dan perhitungan manual menunjukan hasil yang identik. hal tersebut menunjukan sistem yang diimplementasikan telah sesuai dengan metode EDAS.
Algoritma Fisher Yates Pada Aplikasi Pembelajaran Teknik Pengambilan Gambar Menggunakan Kamera DSLR Berbasis Android
Authors: Santika Dewi Mawarni , Fauziah Fauziah , Rahman Ben
Published: October 2023

Dalam memenuhi kebutuhan pembelajaran yang efisien dan praktis maka pembuatan aplikasi pembelajaran sangat di butuhkan sekolah khususnya sekolah multimedia yang sangat tergantung dengan teknologi untuk proses belajar mengajar, buku memiliki keterbatasan untuk menampilkan teks dan gambar, mudah rusak jika terkena air dan mudah robek terlebih dengan adanya pembelajaran yang tidak memiliki buku Teknik Pengambilan Gambar Menggunakan Kamera untuk media pembelajaran sehingga menyulitkan bagi pelajar untuk menempuh Pendidikan yang maksimal. Dari permasalahan tersebut, penelitian ini akan membuat aplikasi Pembelajaran Teknik Pengambilan Gambar menggunakan kamera DSLR berbasis Android dalam upaya memudahkan dalam kegiatan belajar mengajar menjadi efisien dan praktis sehingga pelajar tidak perlu membawa buku, membeli buku dan aplikasi ini dilengkapi dengan unsur multimedia seperti teks dan gambar, dan video. Penelitian ini menggunakan Algoritma Fisher Yates untuk pengacakan soal yang terdiri dalam 15 soal dengan hasil dan terjadi random soal yaitu 4,1,9,11,8,6,15,2,3,5,10,13,7,12,14 pada proses algoritma fisher yates.
Prediksi Saham Menggunakan Recurrent Neural Network (RNN-LSTM) dengan Optimasi Adaptive Moment Estimation
Authors: Pipin Sio Jurnalis , Purba Ronsen , Kurniawan Heru
Published: October 2023

Predicting stock price movements is a complex challenge in the financial market due to unpredictable price fluctuations and high sensitivity levels. Noise in historical stock price data and temporal dependencies between previous and current prices make recognizing price movement patterns difficult. In a dynamic market environment, the model's ability to generate accurate predictions holds significant implications for more informed investment decision-making. The Recurrent Neural Network - Long Short-Term Memory (RNN-LSTM) model holds great potential for stock price prediction. It captures temporal dependencies, identifies non-linear relationships, and deciphers complex trends in stock price data. This study employs deep learning techniques with the RNN-LSTM model optimized using Adaptive Moment Estimation (Adam) to enhance stock price prediction accuracy by leveraging historical stock price data and technical factors. Data preprocessing, including handling missing values and data normalization, aids the model in navigating the dataset's intricacies. Test results utilizing the Mean Squared Error (MSE) metric reveal the model's ability to produce predictions that closely resemble actual stock prices, with a low loss value of 0109012. The model also exhibits good predictive accuracy, as evidenced by a favorable Mean Percentage Error (MPE) score of 1.74% between predicted and actual values. These findings hold valuable implications for assisting investors and financial practitioners in managing complexity and uncertainty within the stock market