Analisis Kepuasan Learning Management System Universitas XYZ Menggunakan Metode System Usability Scale dan K-Means

The importance of knowing the results of using the LMS (Learning Management System) learning application to determine the overall use value of users each semester. User perceptions were obtained using the SUS (system usability scale) method using a questionnaire that adopted 10 questions distributed to 118 users (students) of the XYZ University Informatics Engineering study program who had used the LMS after 1 semester. The purpose of this study is to determine user perceptions by clustering user satisfaction which has been carried out for 1 semester. Grouping perceptions using the K-Means method with variables (columns) that seem to have the greatest influence on other variables. Other tools use Google Colab in the Python programming language. The number of variables is 10 variables adopted from the questions in the System Usability Scale method. The results of this study provide a total of 3 (three) clusters which will then become the basis for scoring the criteria for the SUS method. The criteria for using the LMS system with cluster 2 have an excellent rating (SUS score of 72.04) and the number of perceptions is 49 people from 118 students. Overall, LMS users provide good value for several modules in the LMS, but the third cluster with the highest number gives the best results from the other clusters

Pengaruh Layanan Google Terhadap Motivasi Belajar Untuk Mendukung Prestasi Belajar Siswa

Information technology in education sector affected on learning process held by senior high school in Palembang city. Some 77,43% computer users (including students) who visit the google pages with the number of of 4,464,000,000 visitors everyday. Particularly students are very depend on search engine to to search of information or matter to complete a task school that relies heavily with the internet, thereby should be tested what factors affecting and could provide motivation to study and improve student learning achievements. The results of literature give you some of factors affect the motivation to study and student learning achievements that is a source of learning, intensity using, the quality of information. The methodology used namely AMOS (Analysis of Moment Structure), and path analysis, calculation the probability between endogenous, or endogenous and exogenous by the application of SEM (Structural Equation Model). The results of the study gained may be used as input for school management to make maximum use of google search engine in increased the motivation to study and student learning achievements

Penjadwalan Mata Pelajaran Menggunakan Algoritma Particle Swarm Optimization (PSO) Pada SMPIT Mufidatul Ilmi

Scheduling has a division of time based on a work sequence arrangement plan in the form of a list or table of activities or an activity plan with a detailed division of implementation time which is very necessary in carrying out institutional/company business processes. It is important to note the complexity of the process in scheduling appropriate subjects from various perspectives, both teachers, students and classrooms. Provision of teacher teaching schedules based on abilities in the field of subjects, suitable time each semester is very important to consider for very complex schedule arrangements, the number of classrooms that can be used in teaching activities is relatively small, and preventing teacher teaching conflicts so that the need for optimization of eye scheduling lesson to be made. Furthermore, at the stage of application development using the Waterfall method. The purpose of this research is to build a lesson scheduling application at SMPIT Mufidatul Ilmi by applying the particle swarm optimization (PSO) algorithm to compile lesson schedules. Particle Swarm Optimization is a population-based algorithm that exploits individuals in search. In PSO the population is called a swarm and individuals are called particles. Each particle moves at a speed adapted from the search area and stores it as the best position ever achieved. Design analysis includes Use Case Diagrams, Activity Diagrams, Class Diagrams, Sequence Diagrams, Entity Relationship Diagrams (ERD). The results of this study provide several primary data (service) features, especially features to provide scheduling results from processing with the PSO algorith

Structural Model of Critical Success Factors The Success of E-Learning Implementation In Private Colleges-University in Palembang

—Electronic learning (e-learning) is the latest information technology used by many colleges to improve and enhance the learning process as a competitive advantage in order to achieve the vision and mission of the college. Conventional learning process gradually abandoned because the students have to change the way of learning so that the learning process to be efficient and effective by e-learning. The purpose of this study was to determine the critical success factor (CSF) or critical success factors that affect the success of the implementation or application of e-learning, and to model structural CSF factors. The study used Structural Equation Model (SEM), the population of the study was all students and lecturers of private colleges majoring in computer science and use e-learning. Conducting literature review to obtain the key factors of success, making the research structural models that can be continued for subsequent analysis. Determining hypothesis critical success factors, techniques for data collection were a questionnaire, Likert scale was presented in figures 1 to 5 defined ranging from strongly agree, agree, disagree, and strongly disagree, a quantitative statistic was used to obtain primary data. The results provided a structural research model related to the data available in the case study of this research. Further research of structural model can be used to analyze the correlation / regression of exogenous factors and endogenous factors

Analisis Penerimaan Sistem Informasi Akademik Dengan Menggunakan UTAUT 2 (Studi Kasus: Akademi Keperawatan Pembina Palembang)

Penerimaan terhadap sistem teknologi informasi penting untuk dilakukan karena dapat menjadi indikator bahwa sistem akan diterima dan diterapkan oleh pengguna untuk mendukung proses perkuliahan di Akademi Keperawatan Pembina Palembang. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana pengaruh variabel model Unified Theory of Acceptance and Use of Technology (UTAUT) 2 terhadap penerimaan sistem informasi akademik dan seberapa besar tingkat penerimaan sistem informasi akademik menggunakan model UTAUT 2. Untuk mengetahui penerimaan sistem informasi peneliti menggunakan semua variabel utama dan variabel moderasi umur, jenis kelamin, pengalaman. Data penelitian ini menggunakan 135 responden yaitu 113 sampel mahasiswa dan 22 sampel dosen melalui penyebaran kuesioner. Analisis data yang digunakan yaitumenggunakan metode Structural Equation Modeling (SEM) dengan menggunakan tool Lisrel versi 8.70. Analisis SEM memiliki tahapan yaitu: (1) konseptualisasi model (2) membentuk path diagram (3) identifikasi model (4) estimasi model (5) penilaian model fit (6) menginterpretasikan hasil. Hasil penelitian menunjukan bahwa variabel espektasi kinerja berpengaruh sebesar (16.46), espektasi usaha berpengaruh sebesar (16.54), pengaruh sosial berpengaruh sebesar (14.85), motivasi hedonis berpengaruh sebesar (6.18), nilai harga berpengaruh sebesar (16.59), kebiasaan berpengaruh sebesar (15.94) terhadap niat perilaku. Variabel kondisi fasilitas berpengaruh sebesar (2.22) terhadap perilaku menggunakan. Variabel UTAUT 2 mampu mempengaruhi penerimaan sistem sebesar 9,4%

Perbandingan Akurasi Metode Principal Component Analysis (PCA) dan Correlation-Based Feature Selection (CFS) Pada Klasifikasi Perpanjangan Kontrak Karyawan Menggunakan Metode Naïve Bayes

PT. Oasis Waters International Palembang conducts regular staff performance reviews, the findings of which are utilized to make recommendations for employee contract extension. The Human Resource Department has assigned a numerical value to 25 qualities (HRD). The process of giving a label or class to a number of examples when the value of each characteristic is known as classification. The Naïve Bayes technique is a basic classification approach that makes use of probability estimates. Based on the observations, it was discovered that one of the 25 criteria was deemed the most relevant in determining the recommendation for an employee contract renewal. As a result, in this study, a comparison of the pre-processing Principal Component Analysis (PCA) approach and the Correlation-based Feature Selection (CFS) method on the categorization of employee contract extensions at PT Oasis Waters International Palembang will be performed. According to the data, the CFS approach has a positive influence on classification performance, while PCA does not. This is demonstrated by a 30% increase in accuracy when utilizing the CFS approach. Meanwhile, both strategies have a positive influence on the model's dependability. This is demonstrated by a reduction in Root Mean Square Error (RMSE) when using the CFS approach from 0.6325 to 0.1845, whereas using the PCA method results in 0.5123.Keywords : Naïve Bayes, Principal Component Analysis, Correlation-based Feature Selection, Confusion Matrix, Root Mean Square Erro

Pengaruh Kemampuan Numerik dan Algoritma terhadap Kemampuan Pemrograman dalam Pilihan Tema Skripsi

AbstrakKeberhasilan mahasiswa dalam lingkungan program studi Sistem Informasi UIN Raden Fatah Palembang menyelesaikan tugas akhir atau skripsi sangat ditentukan oleh tema skripsi yang dipilih. Mahasiswa cenderung untuk menghindari penelitian dalam konteks  pengembangan sistem (membuat aplikasi/ coding) sehingga mempengaruhi mahasiswa lainnya untuk melakukan hal yang sama setiap semesternya. Kenyataannya kemampuan membuat kode bahasa pemrograman atau melakukan penelitian analisis (tidak membuat aplikasi) keduanya berkontribusi dalam membuat keputusan menentukan tema skripsi. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh kemampuan numerik dan logika, dan algoritma terhadap kemampuan membuat kode bahasa pemrograman untuk hasil pilihan tema skripsi mahasiswa program studi Sistem Informasi Universitas Islam Negeri Raden Fatah Palembang. Penting diteliti faktor kemampuan numerik dan logika, kemampuan analisis data, kemampuan algoritma dan pemrograman mempengaruhi kemampuan mahasiswa membuat kode bahasa pemrograman, serta secara simultan pengaruhnya terhadap hasil pilihan tema skripsi. Data hasil studi mahasiswa diolah menggunakan Lisrel 8.80, selain itu uji prasyarat analisis SEM yang digunakan dalam penelitian (berupa uji asumsi kecukupan sampel, uji klasik, dan evaluasi outlier, dan Uji fit model. Mahasiswa Sistem Informasi dalam memilih tema skripsi (membuat kode program) tidak terlalu besar dipengaruhi secara bersama-sama oleh kemampuan numerik dan logika, kemampuan analisis data, kemampuan algoritma dan pemrograman, dan juga kemampuan membuat program.Kata Kunci: algoritma, logika, numerik, statistik, structural equation modeling AbstractThe successful of students in the Information System study program of Islamic State University of Raden Fatah Palembang in completing their final project or thesis is largely determined by their thesis theme. Students tend to avoid research in the context of system development (making applications / coding) so as to influence other students to do the same thing every semester. In fact, the ability to code a programming language or conduct analytical research (not to create applications) both contributes to the decision to determine the thesis theme. This study aims to determine how is the influence numerical and logical, data analysis, programming and algorithmic abilities on the ability to code programming languages for the thesis theme choices of students of the Information Systems study program of Islamic State University of Raden Fatah Palembang. It is important to examine the factors of numerical ability, data analysis skills, logical and algorithmic abilities affecting students' ability to code programming languages, and simultaneously these effects on the results of the thesis theme choice. Students final results were processed using Lisrel 8.80, besides the prerequisite tests for SEM (Structural Equation Model) analysis used in this study was in the form of assumptions on sample adequacy test, classic test, and evaluation of outliers, and model fit test. Information Systems students in choosing a thesis theme (making program code) were not highly influenced by numerical and logical abilities, data analysis skills, algorithmic and programming abilities , and also the ability to create programs.Keywords: algorithm, logic, numeric, statistics, structural equation modelin

Prediksi Penjualan Produk Pada PT Bintang Sriwijaya Palembang Menggunakan K-Nearest Neighbour: Prediksi Calon Mahasiswa Penerima KIP Pada Universitas Indo Global Mandiri menggunakan Algoritma Decision Tree

Penjualan merupakan faktor terpenting bagi seluruh perusahaan karena dengan adanya pnejualan, maka suatu perusahaan akan mendapat keuntungan yang lebih supaya bisa melanjutkan usaha tersebut. Prediksi atau peramalan penjualan (forecasting) adalah suatu perhitungan untuk meramalkan keadaan di masa mendatang melalui pengujian keadaan di masa lalu. Tujuan penelitian untuk memberikan usulan kepada perusahaan dalam menentukan stok barang berdasarkan prediksi data penjualan sebelumnya dengan menggunakan metode K-Nearest Neighbor (KNN). Berdarkan hasil penelitian yang telah dilakukan dapat diambil kesimpulan bahwa hasil dari perhitungan menggunakan algoritma KNN, didapatkan hasil prediksi penjualan produk berdasarkan nilai akurasi tertinggi dan terendah. Nilai akurasi tertinggi terhadap penjualan produk sebesar 97,3%. Sedangkan nilai akurasi terenda terhadap penjualan produk sebesar 86,5%. Dengan demikian metode algoritma KNN k=20 (97,3%) ini dapat diimplementasikan untuk memprediksi penjualan produk PT Bintang Sriwijaya Palembang