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Pengaruh Penerapan Media Interaktif Berbasis Multimedia Untuk Pembelajaran Bahasa Inggris Di MTs. NW Ketangga Menggunakan Algoritma Naïve Bayes Yahya Yahya; Amri Muliawan Nur
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.063 KB) | DOI: 10.29408/jit.v5i1.4841

Abstract

The digital era is an era where almost all daily activities are facilitated by the presence of technology. Our entry into the digital era is a sign that old ways will be abandoned which are then replaced with new technologies and ways that are more practical and modern. These changes have changed the perspective and practice of learning in the world of education today. In order to carry out an effective and efficient education, the existence of learning media is very urgent, especially in the future. Moreover, since the COVID-19 virus has paralyzed almost all activities and has had a very large influence on teaching and learning activities at schools. The use of multimedia-based learning media in English lessons is expected to increase enthusiasm and interaction between teachers and students. Given that English has become the language most often used in various countries, both in social life and in the work environment. Learning media will be equipped with animations that will attract the attention of students, as well as with explanations that will make students understand the lesson faster. In addition, there are other additional elements in the form of audio, to make it easier for students to understand the pronunciation or pronunciation of words or sentences in the subject matter. The application of this interactive media will be used as material to obtain data about the effect of interactive media in increasing student understanding. The data collection results were processed using RapidMiner 5.0 Tools and the Naïve Bayes Algorithm. The results of data processing show an accuracy value of 90.96%, which means that the application of interactive media to English subjects in MTs. NW Ketangga is very influential in increasing students' interest and ability in understanding the material presented
Tingkat Ketepatan Hasil Perhitungan Integrasi Numerik Menggunakan Bahasa Pemrograman C# Pada Metode Reimann dan Trapesium Kurnia Yahya Lendrik; Muhamad Sadali; Mahpuz Mahpuz
Infotek: Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.086 KB) | DOI: 10.29408/jit.v2i1.981

Abstract

Numerical integration is one of several subjects in the numerical method subject that is applied to various universities. The existence of numerical integration has various roles in decision making, especially in science and technology.The application of numerical methods, based on several studies, included: numerical completion of the system of linear equations using relaxation method, Numerical Differential Application in Digital Image Processing (Application of Differential Numeric In Digital Image Processing), comparison of Gauss-Legendre method, Gauss-Lobatto and Gauss- Kronrod on the numerical integration of exponential functions, decreasing the solitary wave equation with a numerical second-order Fourier series, numerical integration using the quadratic Gauss method with a hermit interpolation approach and legendary polynomials.From several studies that have been carried out by various parties, there has not been found an approach to solving numerical integration using one of the programming languages such as the C ++ language, Fortran language, C # language and others, therefore in this study, the research raised numerical problems, especially numerical integration using the C # programming language.To make research using the C # programming language about the completion of numerical integration, it was carried out using two methods, the reimann method and the trapezoidal method. Both of these methods are applied, resulting in a calculation approach to analytic values, absolute errors, relative errors and calculation accuracy.Accuracy calculation uses C # (C-Sharp) programming language on Reimann and Trapezoida (Trapezoid) methods to calculate the area of building under the curve, resulting in high accuracy (99.74%) when using the reimann method and 99.49% when using the trapezoidal method) greatly influenced by the number of segments used in the calculationDOI : 10.29408/jit.v2i1.981
Prediksi Jumlah Penggunaan BBM Perbulan Menggunakan Algoritma Decition Tree (C4.5) Pada Kantor Dinas Lingkungan Hidup dan Kebersihan Kecamatan Selong Kabupaten Lombok Timur Yahya Yahya; Reni Zuliana
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 1 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.641 KB) | DOI: 10.29408/jit.v1i1.895

Abstract

In the world of work or the world of education, even government or public agencies have used sophisticated electronic devices, especially computers. computers are widely used to help human work in completing their work to make it easier and more efficient. Because with our computers can be made easier in making information that is more understood by many people. Besides computers, software (software) is also very necessary in processing a data to make it easier for someone to process their data into more useful data. Environmental and Hygiene Office East Lombok District Selong District is one of the offices that receives fuel subsidies from the central government. Therefore, the prediction using the Decition Tree algorithm (C4.5) in calculating the amount of BBM usage needs to be done in order to optimize the use of BBM as well as possible. Because many officers or individuals are not responsible for cases due to misuse of subsidized fuel. With this prediction, usage can be adjusted optimally and excessive use can be overcome.DOI : 10.29408/jit.v1i1.895
Pengaruh Pertumbuhan Ekonomi Terhadap Tingkat Kesejahteraan Masyarakat Kecamatan Selong Kabupaten Lombok Timur - Nusa Tenggara Barat Menggunakan Algoritma Naive Bayes Yahya Yahya; Hariman Bahtiar
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.196 KB) | DOI: 10.29408/jit.v4i1.2981

Abstract

Sustainable Development Goals (SDGs) merupakan salah satu program dunia untuk mengatasi permasalahan beberapa hal yang menjadi issue dunia saat ini. Isu-isu dunia yang ingin ditangani antara lain: menghilangkan kemiskinan, hapus kelaparan, membangun kesehatan dan kesejahteraan yang baik, memberikan pendidikan berkualitas, menegakkan kesetaraan gender, tingkatkan air bersih dan sanitasi, tumbuhkan energi yang terjangkau dan bersih, ciptakan pekerjaan yang layak dan pertumbuhan ekonomi, tingkatkan industri, inovasi, dan infrastruktur, kurangi ketimpangan, memobilisasi kota dan komunitas berkelanjutan, mempengaruhi konsumsi dan produksi yang bertanggung jawab, atur aksi iklim, kembangkan hidup di bawah air, maju kehidupan di darat, menjamin kedamaian, keadilan, dan lembaga kuat, bangun kemitraan untuk mencapai tujuan. Tujuh belas komponen yang hendak dituntaskan menyeluruh di dunia, direncanakan tercapai target pada tahun 2030. Semua komponen yang menjadi problem dunia, akan dijadikan sebagai bagian yang akan menjadi target dalam penelitian ini. Salah satu yang menjadi fokus penelitian adalah komponen ekonomi. Data yang diperoleh di Kecamatan Selong, khususnya komponen ekonomi akan dikelola dan diolah menggunakan algoritma Naive Bayes. Setelah dilakukan pengolahan data menggunakan algoritma Naive Bayes, diperoleh nilai akurasi tertinggi pada percobaan menggunakan K-Fold Validation 9 dengan nilai akurasi 97.78% . Berdasarkan hasil olahan data menggunakan K-Fold Validation 9 dengan akurasi 97.78%, maka dapat ditarik kesimpulan bahwa masyarakat di Wilayah Kecamatan Selong sebagai masyarakat yang kehidupannya sudah mapan atau sejahtera.
Prediksi Tingkat Kelancaran Kredit BSU BMT Tunas Harapan Syari’ah Pringgasela Kabupaten Lombok Timur Menggunakan Algoritma Neural Network Amri Muliawan Nur; Imam Fathurrahman; Yahya Yahya
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 2 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.061 KB) | DOI: 10.29408/jit.v4i2.3580

Abstract

The role of credit in a cooperative is very important. With the credit can be a source of profit for the cooperative. The cooperative was founded with the aim of prospering its members. One of the advantages is that cooperative members can apply for credit loans. To approve the proposed loan, it is necessary to analyze the credit submitted by the members. This has become one of the difficulties for several cooperatives, one of which is KSU BMT Tunas Harapan Syari'ah which is located in thePringgasela village, Pringgasela District, East Lombok Regency. The problem that often arises is that the analysis conducted is often incorrect, resulting in a prolonged bad credit in installment payments. The reason is that cooperatives always use statistical data which is sometimes inaccurate because there is no processing using data processing methods. Therefore, the neural network data mining method can be used as a tool to analyze which customers are problematic and not problematic. From the results of the research that has been done, it produces an accuracy of 96.19% and an AUC of 0.976
Pengaruh Aplikasi C# dalam Proses Perhitungan Numerik Terhadap Solusi Persamaan Non Linier Yahya Yahya; Amri Mulyawan Nur
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 2 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.597 KB) | DOI: 10.29408/jit.v1i2.901

Abstract

The solution in the process of completing numerical methods, especially "Non-Linear Equation Solutions", is determined by several criteria including: 1. Solutions will be obtained if tolerance found from the calculation results is numerically smaller or equal to the specified tolerance, depending on the criteria of the problem. 2. The solution will be obtained if the function value f (xn + 1) reaches zero (0). 3. The solution will be obtained if the xn + 1 value has a constant value (no changes). In several observations of non-liner equations, which are done manually, students cannot do it perfectly. This is due to the level of understanding of teaching materials or modules and algorithms used to experience difficulties, especially for several iterations in order to obtain the expected results. From the results of calculations that are done manually, using Microsoft Excel and using numerical applications that are made using the C # programming language, the results are found, among others: manual calculation of non-linear equations to get one of the roots of non-linear functions tends to be resolved in a short time so that the error rate and accuracy cannot be measured, Calculations made using Microsoft Excel, obtained an error rate of 0.158% and an accuracy rate of 99.842%. Calculations made using numerical applications using the C # programming language obtained an error rate of 0.004% and an accuracy rate of 99.996%DOI : 10.29408/jit.v1i2.901
Penggunaan Algoritma K-Means Untuk Menganalisis Pelanggan Potensial Pada Dealer SPS Motor Honda Lombok Timur Nusa Tenggara Barat Kurnia bin Yahya; Mr. Mahpuz Mahpuz
Infotek: Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.311 KB) | DOI: 10.29408/jit.v2i2.1447

Abstract

Dilihat dari sisi konsumen, ada berbagai aspek yang mempengaruhi konsumen untuk membeli suatu kendaraan bermotor. Hal ini karena masing-masing orang memiliki minat dan kebutuhan yang berbeda. Oleh karena itu, tujuan dari penelitian ini adalah untuk mengetahui kelompok umur dan profesi apa saja yang menjadi pelanggan potensial di SPS Motor Honda Lombok Timur. Metode penelitian yang digunakan adalah metode analitik deskriptif, dimana peneliti mengambil data-data penjualan sepeda motor dari SPS Motor Honda Lombok Timur, yang selanjutnya diolah dan dianalisis menggunakan software Rapidminer 5. Hasil analisis data tersebut selanjutnya dideskripsikan dengan detail mengenai kelompok pelanggan potensial. Berdasarkan analisis yang telah dilakukan, dapat ditarik kesimpulan bahwa kelompok yang termasuk dalam pelanggan potensial dari SPS Motor Honda Lombok Timur adalah kelompok dengan kriteria umur berkisar 33-46 tahun  yang berprofesi sebagai wiraswasta dan petani, Hal ini disebabkan karena, pelanggan tersebut memiliki penghasilan dengan usia produktif. Sedangkan kelompok pelanggan yang tidak potensial ada 2 irisan yaitu yang pertama apabila kategori usia produktif tapi  tidak memiliki penghasilan dengan rentang umur 17-32 tahun dengan profesi pelajar dan wiraswasta. Kedua yaitu, apabila kategori usia tidak produktif dengan rentang usia 47-73 tahun dan tidak memiliki penghasilan dengan profesi  petani dan wiraswata.DOI : 10.29408/jit.v2i2.1447
Implementasi Algoritma Decision Tree Untuk Mengetahui Faktor Kredit Macet Dan Lancar Di Koperasi Serba Usaha Daruzzakah Rensing Lombok Timur Mahpuz Mahpuz; yahya yahya; wasil wasil
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1778.089 KB) | DOI: 10.29408/jit.v3i2.2299

Abstract

Credit is the main product of savings and loan cooperatives in an effort to increase profitability. The greater the credit issued, the greater the profit earned by a cooperative, each cooperative will package credit products in such a way as to be able to attract the attention of each customer. However, cooperative suati can find problems in channeling credit, such as those in the Daruzzakah Multipurpose Cooperative located in Rensing Village, West Sakra Subdistrict, East Lombok Regency, however, the cooperative some can find problems in channeling credit, such as those in the Daruzzakah Multipurpose Cooperative which is located in Rensing Village, West Sakra District, East Lombok Regency, in determining the creditworthiness of credit they always use statistical data, but the data does not guarantee whether during credit or non-performing loans. The Decision Tree algorithm will provide several options to see what factors are bad or current loans, this is done to classify which loans are smooth and bad so that in the future it can be anticipated early.DOI : 10.29408/jit.v3i2.2299
Implentasi Aplikasi Ujian Online Berbasis Client Server Studi Kasus di SMA Negeri 3 Selong Suhartini Suhartini; Muhammad Saiful; Yahya Yahya; Nurhidayati Nurhidayati
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.807 KB) | DOI: 10.29408/jit.v5i1.4386

Abstract

Exams based on the Big Indonesian Dictionary can mean something that is used to test the quality of something (intelligence, ability, learning outcomes, etc.). In addition to being carried out in writing and orally, the exam can also be carried out using computer aids. The purpose of the examination is aimed at assessing the achievement of graduate competency standards for all subjects. Exams are carried out according to the curriculum used by the education unit, and can be carried out in even and/or odd semesters by each education unit. If the exam using a computer is carried out in a computer network, be it an intranet or the internet, it can be categorized as an online exam. In the form of the research method used is in the form of engineering research which in preparation is carried out in the form of a plan, design, or the results of the development of a system or product model. In the research, the process of software engineering for online exam applications based on client server was carried out. The outputs of this research are needs analysis, application design and implementation in the online exam.
Penerapan Algoritma K-Nearest Neighbor Untuk Klasifikasi Efektivitas Penjualan Vape (Rokok Elektrik) pada “Lombok Vape On” KURNIA - YAHYA; Winda Puspita Hidayanti
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (844.927 KB) | DOI: 10.29408/jit.v3i2.2279

Abstract

Perusahaan yang dibangun dengan tujuan untuk menghasilkan barang atau jasa yang ditujukan untuk memenuhi kebutuhan konsumen juga untuk memperoleh keuntungan bagi perusahaan tersebut. Perusahaan sudah tentu memiliki tujuan yang sama yaitu mencapai target yang sudah direncanakan dan mampu menghasilkan pemasukan yang selalu meningkat disetiap tahunnya. Dan salah satu kegiatan usaha yang harus dilakukan agar perusahaan tetap berjalan dan berkembang adalah penjualan. Keputusan yang diambil pemegang tanggung jawab perusahaan akan mempengaruhi perusahaan dimasa depan. Salah satu keputusan yang harus ditentukan yaitu produk yang akan diproduksi dan dijual untuk periode selanjutnya. Dilihat dari era globalisasi saat ini bahwa usaha yang dapat mengikuti zaman yaitu produk rokok elektrik (Vape). Produk tersebut benar-benar diminati oleh kalangan anak muda hususnya para pria. Salah satu instansi yang mengambil keputusan untuk menggeluti bisnis tersebut yaitu Lombok Vape On. “Lombok Vape On” memiliki konsumen yang cukup banyak sehingga pendapatan yang didapat tentu banyak, akan tetapi pendapatannya tidak menentu dan tidak dapat diprediksi dengan baik setiap bulannya. Tujuan dari penelitian ini untuk mengklasifikasikan hasil penjualan dari Lombok Vape on untuk mengetahui efektifitas penjualan perbulannya agar toko tersebut dapat mengetahui pasang surut pemasukan yang didapat. Apabila instansi tersebut mengetahui tingkat penjualannya maka instansi tersebut dengan mudah mengubah strategi penjualan agar stabil dan meningkat. Untuk itu peneliti menerapkan metode K-Nearest Neighbor untuk mengklasifikasin masalah tersebut,dan diharapkan metode ini mampu mengatasi masalah pada “Lombok Vape On”.DOI : 10.29408/jit.v3i2.2279