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AN ERROR ANALYSIS IN WRITING DESCRIPTIVE TEXT AT ONE PRIVATE SCHOOL OF SINTANG
Get PDFThis research aims to classify the kinds of errors found in the student's writing descriptive text; recognize the most common errors found, and describe the factors that cause the students to make errors. The method used was qualitative research. The subject of this research is the 20 writing descriptive text of the students in class X. The data collection technique used documents and interviews. The instruments of data collection were the students’ worksheets and interview guidelines. The finding showed, there were four types of errors found in the students' writing products. They were classified as 20.8% errors of omission, 4% errors of addition, 73,2% errors of misinformation, and 2% errors of misordering. Based on these findings, the researchers suggest that: learning English should emphasize linguistic aspects such as the use of tenses. Besides, students should be assisted in translating assignments and teachers should provide feedback on student work. Keywords: error analysis, descriptive text, writin
THE ROLE OF SELF CONCEPT TO ENCOURAGE IPHONE USERS’ LOYALTY
Get PDFProduct and brand competition reach the smartphone industries by emphasizing satisfaction and loyalty to the brand. Iphone as a one of prestigious brand has a intense relationship with the consumer's image on themselves, which is known as the self-concept and then can be able to provide consumer loyalty to the brand. The purpose of this research is to explain empirically about 1) The effect of actual and ideal self-concept on the loyalty of iPhone users. The research sample was 100. The sample was taken using a non-probability sampling method with a purposive sampling technique. The selected respondents are Iphone users in Malang City who make personal purchasing decisions with a minimum of one year of use. Hypothesis testing was carried out using Partial Least Square (PLS) analysis. The results are actual and ideal self-concept provide the loyalty of iPhone users in the city of Malang. The actual and ideal self-concepts have a positive and significant influence on the loyalty of iPhone users.Product and brand competition reach the smartphone industries by emphasizing satisfaction and loyalty to the brand. Iphone as a one of prestigious brand has a intense relationship with the consumer's image on themselves, which is known as the self-concept and then can be able to provide consumer loyalty to the brand. The purpose of this research is to explain empirically about 1) The effect of actual and ideal self-concept on the loyalty of iPhone users. The research sample was 100. The sample was taken using a non-probability sampling method with a purposive sampling technique. The selected respondents are Iphone users in Malang City who make personal purchasing decisions with a minimum of one year of use. Hypothesis testing was carried out using Partial Least Square (PLS) analysis. The results are actual and ideal self-concept provide the loyalty of iPhone users in the city of Malang. The actual and ideal self-concepts have a positive and significant influence on the loyalty of iPhone users
Pemilihan Jenis Smartphone Sesuai dengan Kebutuhan Menggunakan Metode Forward Chaining dan Decicion Tree
No full textKebutuhan smartphone untuk mendukung berbagai aktifitas manusia dalam kehidupan sehari-hari sudah menjadi suatu hal yang tidak dapat dipisahkan. Berbagai model smartphone yang hadir di pasaran saat ini perlu dipertimbangkan sesuai dengan kebutuhan masyarakatnya. Daya beli smartphone masyarakat Indonesia cenderung berasal dari segmen masyarakat berpenghasilan rendah yang umumnya lebih memilih untuk membeli smartphone yang berada di kisaran harga USD 150 per buah, apabila dirupiahkan kisaran harga 1-3 Juta Rupiah. Pada kuartal II-2021 pengiriman smartphone di Indonesia tercatat mengalami pertumbuhan sebesar 28% bila dibandingkan dengan kuartal II-2020. Faktor pendongkrak pertumbuhan ini adalah promosi pada saat hari besar.  Untuk sebagian orang yang tidak mengikuti perkembangan teknologi smartphone, mungkin akan kesulitan sebelum membeli smartphone yang sesuai dengan kebutuhannya. Oleh karna itu untuk mengetahui smartphone apa yang sesuai dengan kebutuhan dapat dilakukan dengan pembuatan sistem berbasis website bermetode Forward Chaining dan  Decision Tree. Metode Forward Chaining merupakan metode pencarian dengan penggabungan rule berdasarkan informasi untuk menghasilkan suatu tujuan. Kesimpulan dari penelitian ini didapatkan sebuah model smartphone yang sesuai dengan pilihan user. Dengan begitu user akan terbantu sebelum membeli smartphone
Klasifikasi ABC dan Peramalan ARIMA Inventory Usaha Kecil Menengah Stokis Pakaian Muslim
Get PDFThe problem faced by many SMEs is the imbalance between demand and supply. As one of the SMEs, Stockist C-Geulis often faces the problem of unavailable product stock while orders are not yet available. This research aims to identify high-value and high-demand products and predict minimum and maximum inventory levels for the following month. The method for determining high-value products is ABC analysis, while the minimum and maximum inventory predictions use the ARIMA (Autoregressive Integrated Moving Average). The data for stock forecasting uses sales data from January 2019 to June 2021. The results show that ABC analysis based on sales value includes four class A products, three class B products, and eight class C products. The forecast results show that the inventory forecast data for three periods does not meet the assumption of stationarity to the average because a level 1 differentiation process is carried out so that the data becomes stationary. The ARIMA models produced are ARIMA (1,1,1) for Batik C-Geulis products and Busui C-Geulis and ARIMA (1,0,0) for Inner Gamis Hijab products. The supplies provided for Batik C-Geulis products in July 2021 are 37 pcs, Busui C-Geulis are 45 pcs, and Inner Gamis C-Geulis are 49 pcs
Deteksi Kebocoran Pipa Air Menggunakan Machine Learning dengan Jaringan Nirkabel IEEE 802.15.4
Get PDFPipa adalah cara paling ekonomis dan paling aman dalam mendistribusikan hasil produk seperti air, petrokimia, gas, dan cairan lainnya. Terlepas dari manfaat tersebut, ternyata pipa memiliki ancaman yaitu potensi kebocoran. Artikel ini membahas pendeteksian kebocoran pipa air menggunakan parameter debit aliran. Pengujian dilakukan pada dua format dataset, menggunakan raw dataset dan process dataset menggunakan metode volume balance. Pada proses pembelajaran ada beberapa hal yang perlu disoroti seperti pemilihan tipe dataset, pre-processing dengan menormalisasi dataset, dan menerapkan metode fungsi kernel untuk meningkatkan kinerja akurasi prediksi ukuran dan lokasi kebocoran pipa. Dataset dilatih menggunakan algortima SVM untuk mengklasifikasikan ukuran dan lokasi kebocoran pipa. Hasil klasfikasi ukuran kebocoran dengan fungsi kernel polynomial pada raw dataset mencapai akurasi sebesar 98,25%, recall 99,1%, presisi 99,8%, dan F-measure 99,5%. Sedangkan fungsi kernel Radial Basis Function pada process dataset mencapai akurasi tertinggi sebesar 89,7%, recall 94,4%, presisi 95,4%, Â dan F-measure 94,6%. Dalam hal mengidentifkasikan lokasi kebocoran, fungsi kernel polynomial pada raw dataset meningkatkan akurasi sebesar 88,96%, recall 94,7%, presisi 91,5%, dan F-measure 92,8%. Sedangkan fungsi kernel polynomial pada process dataset mencapai akurasi sebesar 74,42%, recall 74,1%, presisi 72,8%, dan F-measure 71,3%
Sistem Otomasi Pada Automatic Motor Coil Winding Machine Berbasis Human Machine Interface
Get PDFPermasalahan yang mendasari penelitian ini yaitu proses otomasi dari mesin penggulung kumparan motor yang memproses penggulungan kumparan motor dalam usaha skala industri menengah masih menggunakan sistem manual dengan cara memutar tuas gulungan pada mesin penggulung kumparan serta pemanfaatan perbedaan rasio gear sebagai pengaruh kecepatan dari perbandingan kecepatan mesin penggulung kumparan pada saat proses penggulungan lilitan motor. Penelitian ini menggunakan Arduino Uno R3, relay, sensor proximity E18-D80NK, dan Bluetooth HC-06 digunakan sebagai komunikasi sistem antara Arduino Uno R3 dengan smartphone secara real time. Tujuan penelitian ini adalah untuk mengoptimalisasikan hasil waktu pada proses penggulungan kumparan motor dengan variasi speed apabila tidak dilakukan perhitungan secara tepat dapat menyebabkan selisih perhitungan antara lilitan dan nilai counter dengan jumlah lilitan sebenarnya yang terhitung pada mesin penggulung kumparan motor. Selain itu sistem kontrol otomasi pada mesin penggulung kumparan motor didesain dari user interface sederhana juga memudahkan pengguna dalam penggunaan aplikasi android yang dibuat. Sistem otomasi yang dikontrol melalui MIT App Inventor pada motor AC 220 volt dengan hasil antara jumlah pembacaan aktual (dibaca sensor proximity) dan pengaturan jumlah lilitan pada mesin didapatkan tingkat akurasi sebesar 100 % untuk input nominal duty cycle 15 % dan 98,4 % untuk tingkat akurasi input nominal duty cycle 50 %. Dengan variasi kecepatan berbeda didapatkan perhitungan waktu proses melilit kumparan di antaranya dalam 60 lilitan membutuhkan waktu 8,12 detik, 120 lilitan yaitu 14,06 detik dan 180 lilitan membutuhkan waktu 18,88 detik
The Ease of Investing in Indonesia's Capital Market Based on Improved Financial Literacy, Investment Community and Capital Market School
Get PDFIndonesia is predicted to have the 4th largest GDP in the world by 2050. One of the major contributors to GDP is investment. Based on KSEI data (2020) the number of investors in Indonesia is still 3.27 million investors or 1.73% of the total productive age population. This proves that Indonesia still needs encouragement to become the country with the 4th largest GDP in the world. One form of this encouragement is to increase people's financial literacy. Data from OJK (2019) states that the financial literacy index of the Indonesian people rose from 29.7% in 2016 to 38.03% in 2019. The investment community is one of the drivers and the ISP community is one of the capital market education activists. The importance of improving financial literacy, the investment community and capital market schools for the ease of investing is an important point to help make Indonesia a country with the 4th largest GDP in the world. The purpose of this study was to determine whether there is an influence between financial literacy, investment community and capital market schools on the ease of investing. The method that used is quantitative with a survey approach. The results show that there is an influence between financial literacy, the investment community and the capital market on the ease of investing, which means that if there is an increase in financial literacy, the investment community and capital market schools, there will also be an increase in the ease of investing
Klasterisasi Buku dan Peminjam Buku di Perpustakaan dengan Metode Analisis Jejaring Sosial dan Deteksi Komunitas
Get PDFSaat ini, Perpustakaan Universitas sudah menyediakan sistem informasi untuk mengelola berbagai data transaksi bisnisnya. Permasalahan yang dihadapi, data yang tersedia belum dimanfaatkan  lebih lanjut agar memperoleh pengetahuan untuk mendukung kebijakan strategis perpustakaan. Tujuan penelitian ini menemukan pengetahuan berupa klaster buku dan klaster peminjam buku di perpustakaan dengan pendekatan Analisis jejaring sosial dan deteksi komunitas. Metode penelitian dimulai dengan mengkoleksi data peminjaman buku, mengkonstruksi ke model graf bipartit, memproyeksikannya graf bipartite menjadi graf buku dan graf peminjam buku. Kemudian melakukan eksperimen membandingkan beberapa algoritma deteksi komunitas kedua graf tersebut, dengan evaluasi menggunakan metrik modularitas, performance, coverage, density dan entropy. Langkah terakhir, mengimplementasikan algoritma terbaik untuk menentukan klaster buku dan peminjam buku. Hasil eksperimen algoritma Louvain dan algoritma Eva memiliki kinerja terbaik untuk graf buku dan graf peminjam buku. Implementasi deteksi komunitas pada graf buku diperoleh 16 klaster buku, sedangkan pada graf peminjam buku diperoleh 21 klaster peminjam buku. Klasterisasi ini berguna bagi manajemen perpustakan dalam pengembangan koleksi  serta promosi perpustakaan kepada pemustaka.Kata kunci—Analisis Jejaring Sosial,Deteksi Komunitas,graf bipartite, peminjaman buku, klasterisasi
Pengaruh Keputusan Investasi, Keputusan Pendanaan, dan Kebijakan Dividen Terhadap Nilai Perusahaan Sektor Consumer Goods dan Mining di Bursa Efek Indonesia (BEI) Periode 2018–2020
Get PDFIn general, companies have three main goals that are mutually sustainable: maximizing profits, prospering shareholders, and maximizing company values. This research intends to determine the value of consumer goods and mining sector companies in Indonesia Stock Exchange (IDX) during 2018-2020 based on: (1) investment decisions, (2)financing decisions, and (3)dividend policies. The sampling technique used is purposive sampling, and obtained 25 companies that met the criteria as research samples. The statistical method used is multiple linear regression analysis with SPSS version 25. The results show that funding decisions have a significant effect on firm value, while investment decisions and dividend policies have no significant effect on firm value.Keywords: dividend policy, firm value, funding decision, investment decisio
Determinan Keberhasilan Usaha Mikro Kecil Menengah (UMKM) Pada Kecamatan Mandau
Get PDFThe purpose of this study is to test the Influence of Business Location, Business Capital, Marketing Strategy and The Use of Accounting Information on the Success of MSMEs in Mandau District. This research is a type of quantitative research using primary data sources (questionnaires). The sampling technique uses the slovin formula, from the data obtained 326 respondents. Data analysis method using multiple linear regression analysis method with the help of IBM SPSS Statistics 23. The results of this study show that the calculated t value of each independent variable is 3,910 for location, 7,131 for business capital, 4,349 for marketing strategy and 2,792 for the use of accounting information, while the table t value is 2.242 (t calculate t table) that means business location, business capital, Marketing strategies and the use of accounting information affect the success of MSMEs. This proves that the higher the business location, business capital, marketing strategy and the use of accounting information, the higher the success rate of MSMEs in Mandau District..Keywords: Business Location, Business Capital, Marketing Strategy, Usage Accounting Information, and MSME Success