Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

0.702

P-Index

This Author published in this journals

All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Global Journal of Information Systems and Informatics Jurnal Abdimas Mandiri Reswara: Jurnal Pengabdian Kepada Masyarakat Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan

Dhamayanti Dhamayanti

Universitas Indo Global Mandiri

Author-ID : 2459133

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 11 Documents Claim Missing Document

Claim Missing Document

Articles

Title

Penentuan Pemberian Reward Bagi Karyawan Berprestasi di Lingkungan Universitas Indo Global Mandiri dengan Algoritma C45 Dhamayanti Dhamayanti
Jurnal Informatika Global Vol 9, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Abstract Determination of the top performers in the Environment University of Indo Global Mandiri is determined based on an assessment of performance. The performance assessment is carried out consisting of knowledge of the work, creativity, planning, implementation instructions, execution of the job descriptions, work quality, cooperation and attitudes toward other employees, initiative, reliability, presence, attitude work, perseverance, and honesty. C45 algorithm is an algorithm that is used to form the decision tree. With the decision tree is generated from the algorithm C45 can build a decision support system that has the ability to analyze the selection of outstanding employee, in which each of the criteria employees compared to one another so as to provide output intensity value priorities and produce a system that provides an assessment of each employee so that will get the most feasible given the employee reward or appreciation. Keywords : C45 Algorithms, Decision Trees, Outputs, Rewards Abstrak Penentuan karyawan berprestasi di Lingkungan Universitas Indo Global Mandiri ditentukan berdasarkan penilaian kinerja. Penilaian kinerja yang dilakukan terdiri dari pengetahuan tentang pekerjaan, kreativitas, perencanaan, pelaksanaan instruksi, pelaksanaan deskripsi tugas, kualitas kerja, kerjasama dan sikap terhadap karyawan lain, inisiatif, kehandalan, kehadiran, sikap pekerjaan, keuletan, dan kejujuran. Algoritma C45 merupakan algoritma yang digunakan untuk membentuk pohon keputusan. Dengan pohon keputusan yang dihasilkan dari Algoritma C45 dapat membangun sebuah sistem pendukung keputusan yang mempunyai kemampuan menganalisa pemilihan karyawan berprestasi, dimana masing-masing kriteria karyawan dibandingkan satu dengan yang lainnya sehingga memberikan output nilai intensitas prioritas dan menghasilkan suatu sistem yang memberikan penilaian terhadap setiap karyawan sehingga akan mendapatkan karyawan yang paling layak diberi reward atau penghargaan.Kata kunci: Algoritma C45, Pohon Keputusan, Outputs, Rewards

Feature Selection Menggunakan Binary Wheal Optimizaton Algorithm (BWOA) pada Klasifikasi Penyakit Diabetes Lastri Widya Astuti; Imelda Saluza; Evi Yulianti; Dhamayanti Dhamayanti
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2057

Diabetes Mellitus (DM) is a chronic disease characterized by blood glucose (blood sugar) levels exceeding normal, i.e. blood sugar levels being equal to or more than 200 mg/dl, and fasting blood sugar levels being above or equal to 126 mg/dl. The increase in the number of people with diabetes is due to delays in detection. Utilization of machine learning in helping to establish a fast and accurate diagnosis is one of the efforts made in the health sector. One of the important steps to produce high classification accuracy is through the selection of relevant features. The problem in feature selection is dimensionality reduction, where initially all attributes are required to obtain maximum accuracy while not all features are used in the classification process. This study uses the Binary wheal Optimization Algorithm (BWOA) as a feature selection method to increase accuracy in the classification of diabetes mellitus. The use of metaheuristic algorithms is an alternative to increase computational efficiency and avoid local minimums. The BWOA algorithm reduces the 8 attributes in the dataset to the 3 best attributes that are able to represent the original dataset. The results showed that from the six classification methods tested, namely: K-NN, Naïve Bayes, Random Forest, Logistics Regression, Decision Tree, Neural Network. then the three logistic regression methods, naive Bayes and neural network are in good classification criteria based on Area Under Curve (AUC) while the calculation of the accuracy value shows an average of above 70%. Keywords : Feature Selection, Classification, Diabetes Mellitus, Accuracy, Area Under Curve (AUC)

Aplikasi Pendeteksi Plagiasi pada Universitas Indo Global Mandiri Berbasis Web Dhamayanti Dhamayanti; Lidia Permata Sari
Jurnal Informatika Global Vol 10, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

ABSTRACTThesis is a final project that must be taken by students to complete their studies at the Indo Global Mandiri University in Palembang. Thesis data processing and storage, especially in the Information Systems department is still done conventionally, so checking the similarity of the title even the contents of the student thesis is difficult to detect. Difficulties in detecting the title and content of the thesis cause students to easily and freely plagiarize the proposal preparation and thesis report from beginning to end without being known by the lecturer and the Information System department. Plagiarism is the act of a shortcut that steals ideas, takes the work, and recognizes the work of others as their own without including references from the original source. This research will discuss the problem of plagiarism in the Information Systems department through making applications that can detect the plagiarism of titles and contents of the thesis especially in the information systems department so as to overcome the plagiarism problems faced by the information systems department. This plagiarism detection application is built using the cosine similarity method. Cosine similarity is a method for calculating similarity (level of similarity) between two object. In testing the similarity of documents with the results of the study, cosine similarity has a higher degree of accuracy. Cosine similarity is used to calculate the similarity value by equating said words and become one of the techniques to measure the similarity of popular texts. Plagiarism detection application using cosine similarity method which is implemented with PHP and MySQL as the database can help efforts to reduce the occurrence of plagiarism in the title and contents of the thesis in the Information Systems department. Keywords : Plagiarism, Plagiarism Detection Application, Cosine Similarity, PHPABSTRAKSkripsi merupakan tugas akhir yang wajib ditempuh mahasiswa untuk menyelesaikan studi di Universitas Indo Global Mandiri Palembang. Pengolahan dan penyimpanan data skripsi khususnya pada program studi Sistem Informasi masih dilakukan secara konvensional, sehingga pengecekan kemiripan judul bahkan isi skripsi mahasiswa sulit untuk dideteksi. Kesulitan pendeteksian judul dan isi skripsi menyebabkan mahasiswa dengan mudah dan bebas melakukan plagiasi pada pembuatan proposal maupun laporan skripsi dari awal hingga akhir tanpa diketahui oleh dosen dan pihak program studi. Plagiasi merupakan tindakan sebuah jalan pintas yang mencuri ide, mengambil hasil karya, dan mengakui hasil karya orang lain sebagai miliknya sendiri tanpa mencantumkan referensi dari sumber aslinya. Penelitian ini akan membahas permasalahan plagiasi pada program studi Sistem Informasi melalui pembuatan aplikasi yang dapat mendeteksi plagiasi judul dan isi skripsi khusunya pada program studi sistem informasi sehingga dapat mengatasi permasalahan plagiasi yang dihadapi oleh program studi sistem informasi. Aplikasi pendeteksi plagiasi ini dibagun dengan menggunakan metode cosine similarity. Cosine similarity adalah metode untuk menghitung similarity (tingkat kesamaan) antar dua buah objek. Pada pengujian kesamaan dokumen dengan hasil penelitian menunjukkan cosine similarity memiliki tingkat akurasi yang lebih tinggi. Cosine similarity digunakan untuk menghitung nilai kemiripan dengan menyamakan kata perkata dan menjadi salah satu teknik untuk mengukur kemiripan teks yang popular. Aplikasi pendeteksi plagiasi dengan menggunakan metode cosine similarity yang diimplemntasikan dengan PHP dan MySQL sebagai databasenya dapat membantu upaya mengurangi terjadinya plagisi pada judul dan isi skripsi di program studi Sistem Informasi.Kata kunci : Plagiasi, Aplikasi Pendeteksi Plagiasi, Cosine Similarity, PHP

Sistem Pendukung Keputusan Pemilihan Siswa Terbaik Pada Sekolah Menengah Atas Life Skill Teknologi Informatika Indo Global Mandiri dengan Metode Analitical Hierarchy Process Sumarni Sumarni; Dhamayanti Dhamayanti
Jurnal Informatika Global Vol 10, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

ABSTRACTIGM LTI High School as an institution which is engaged in education every year holds an academic selection of the best students for class XII students. The selection of the best students at IGM LTI High School is still done conventionally. The Principal will hold a selection meeting of the best students with the teacher team every year. Assessment criteria for the best prospective students viewed from 1) academic values, namely : a). national test scores, b). end of semester tests, and c). report card grades; 2) non-academic grades; 3) moral values. This method requires need a long time, so that the best student selection decisions are less fast, effective, and efficient. Because of that, IGM LTI High School requires a desktop-based decision making system that supports the best student selection process. The best student selection decision making system is needed as an effort to improve the performance of the team of teachers and principals in the process of selecting the best students. Decision support system for selecting the best students in IGM LTI High School uses the Waterfall methodology with research tools consisting of: Data Flow Diagrams, Entity Relationship Diagrams and AHP (Analitycal Hierarchy Process) Methods. The testing method uses the Black Box method. This system was built using several lunk devices such as Visual Basic 6.0 and the Microsoft Access 2007 database. The results of this system will process the value of data and report the best students of class XII in IGM LTI High School.Keywords : Decision Support System, AHP, Best StudentsABSTRAKSMA LTI IGM sebagai lembaga yang bergerak di bidang pendidikan setiap tahunn akademik mengadakan pemilihan siswa terbaik bagi siswa kelas XII. Pemilihan siswa terbaik di SMA LTI IGM masih dilakukan secara konvensional. Kepala Sekolah akan mengadakan rapat pemilihan siswa terbaik degan tim guru setiap tahun. Kriteria penilaian calon siswa terbaik dilihat dari 1) nilai akademik yaitu: a). nilai ulangan nasional, b). ulangan akhir semester, dan c). nilai rapor; 2) nilai non akademik; 3) nilai akhlak. Cara ini membutuhkan waktu yang lama, sehingga hasil keputusan pemilihan siswa terbaik kurang cepat, efektif, dan efisien. Karena hal tersebut, SMA LTI IGM membutuhkan suatu sistem pengambilan keputusan berbasis desktop yang mendukung proses pemilihan siswa terbaik. Sistem pengambilan keputusan pemilihan siswa terbaik diperlukan sebagai upaya untuk peningkatan kinerja tim guru dan kepala sekolah dalam proses pemilihan siswa terbaik. Sistem pendukung keputusan pemilihan siswa terbaik di SMA LTI IGM menggunakan menggunakan metodologi Waterfall dengan alat-alat penelitian yang terdiri dari: Data Flow Diagram, Entity Relationship Diagram dan Metode AHP (Analitycal Hierarchy Process). Metode pengujian menggunakan metode Black Box. Sistem ini dibangun menggunakan beberapa perangkat lunk seperti Visual Basic 6.0 dan database Microsoft Access 2007. Hasil dari sistem ini akan memproses nilai data dan melaporkan siswa terbaik kelas XII di SMA LTI IGM.Kata kunci : Sistem Pendukung Keputusan, AHP, Siswa Terbaik

Penerapan Metode Exponential Smoothing Pada Sistem Informasi Peramalan Stok Bahan Bangunan di PT. Muara Dua Palembang Deayu Dwi Wiranti; Dhamayanti Dhamayanti
Jurnal Informatika Global Vol 11, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v11i2.1216

PT. Muara Dua Palembang is a mobile distributor company in the field of material sales. The number of sales transactions will be affect the inventory of goods, as a company in the field of sales often having problems in predicting the number of items that must be available for the following month. Therefore the need for a system forecasting information that will make it easier for an inside manager make a decision in determining how many items will be ordered kepbarik for the sale of the next period, so it can avoid the effects of prolonged losses. Number forecasting The stock inventory is calculated using the Single method Exponential Smoothing, the data used for this study is sales data for stirrups measuring 19 mm x 12 mm in 2015 up to 2018. After that, data analysis is performed by calculating forecasting use alpha 0.1, 0.45, and 0.9 parameters and calculate the values of the accuracy of forecasting to find out the smallest error. From the calculation results that have been made the most error value small is at alpha 0.9 with MAE = 12 and MSE = 280. The expected results in this study are information systems Forecasting items that have a functioning forecasting form to forecast the amount of demand for goods in the period to become with a Single Exponential Smoothing calculation so it can be used to determine how many items must be prepared to meet costumer demand for the next peridot. Keywords: Forecasting, Single Exponential Smoothing, Stock Items

Co-Authors Agustina Heryati Ahmad Sanmorino Deayu Dwi Wiranti Dona Marcelina Dwi Ardya Garini Faradillah Faradillah Herri Setiawan Imelda Saluza, Imelda Lastri Widya Astuti Lidia Permata Sari Sartika, Dewi Shinta Puspasari Sumarni Sumarni Suryati, Suryati Tasmi, Tasmi Yulianti, Evi

Title Search

Found 5 Documents Search Journal : Jurnal Informatika Global

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search
Journal : Jurnal Informatika Global