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Rancangan Sistem Informasi Pengelolaan Perpindahan Peserta Didik Esha Indra Sukmana; Jaradot Mangihut Davied; Dwi Khadafi; Mohammad Azmi Khadafi; Nuzuliarini Nuris
Explore Vol 14 No 1 (2024): Januari
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v14i1.82

Abstract

Pendidikan adalah suatu kegiatan pembelajaran didapatkan oleh semua manusia sehingga dapat membuat manusia tersebut memahami, mengerti dan dapat membuat manusia berpikir lebih dewasa dimana manusia yang sedang menempuh pendidikan disebut peserta didik. Perpindahan peserta didik merupakan proses perpindahan siswa dari sekolah anak usia dini sampai ke jenjang sekolah menengah atas pada sekolah asal ke sekolah yang dituju. Pada prosesnya banyak sekali hambatan yang terdapat dalam memberikan informasi mengenai penayangan daya tampung peserta didik setiap sekolah, proses pengajuan perpindahan, maupun pelaporan perpindahan peserta didik dan tidak adanya aplikasi mutasi masuk/keluar peserta didik. Berdasarkan permasalahan tersebut maka diperlukan membangun sebuah sistem informasi pengelolaan perpindahan peserta didik berbasis web dan dirancang dengan menggunakan model RAD dalam pengembangan perangkat lunak. Tujuan dibangunnya aplikasi untuk mampu memberi informasi secara cepat, tepat, dan akurat tentang jadwal serta daya tampung peserta didik pada setiap sekolah dan mempermudah dalam melakukan proses dan pengelolaan perpindahan peserta didik masuk/keluar atau mutasi. Aplikasi yang dihasilkan dapat dimanfaatkan dengan baik dalam pendataan sehingga mengurangi penumpukan berkas dari mutasi peserta didik.
Analisis Prediksi Harga Rumah Pada Machine Learning Metode Regresi Linear Nuzuliarini Nuris
Explore Vol 14 No 2 (2024): Juli 2024
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v14i2.123

Abstract

Rumah merupakan kebutuhan esensial yang sangat penting bagi setiap individu, dengan pentingnya peran rumah tersebut maka sesorang yang ingin membeli rumah dan seseorang yang ingin menjual rumah sangat membutuhkan prediksi harga rumah yang sesuai dan akurat. Dalam menentukan prediksi harga rumah ditentukan oleh banyak faktor. Berdasarkan permasalahan tersebut maka setelah dilakukan penelitian dengan menggunakan metode regresi linear untuk memprediksi harga rumah sehingga dapat mempermudah transaksi jual dan beli. Data yang digunakan dalam penelitian ini adalah data sekunder yang bersumber dari website rumah123.com. Hasil penelitian ini menunjukkan nilai akurasi sebesar 86,41%. Harga rumah sangat berpengaruh kuat dengan luas bangunan dan harga rumah tidak dipengaruhi pada kriteria jenis sertifikat dikarenakan hasil yang didapat pada keterkaitan atau hubungan variabel luas bangunan sebesar 0,80 dan jenis sertifikat sebesar 0,00. Model dievaluasi menggunakan metrik evaluasi yang sesuai dengan menguji akurasi dan kinerja dari mean squared error (MSE) sebesar 464,87397, R-squared (R²) sebesar 0,7818811 dan mean absolute error (MAE) sebesar 313,00083.
Implementasi Particle Swarm Optimization (PSO) Pada Analysis Sentiment Review Aplikasi Halodoc Menggunakan Algoritma Naïve Bayes Nuris, Nuzuliarini; Yulia, Eka Rini; Solecha, Kusmayanti
JURNAL TEKNOLOGI INFORMASI Vol 7, No 1 (2021): Jurnal Teknologi Informasi
Publisher : Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jti.v7i1.1330

Abstract

Health is very important for humans, if you experience symptoms or feel pain, it is appropriate for us to have a health check and go to a hospital or clinic, but if it is not possible to leave the house, an online health consultation application is considered to be helpful. But before you can use and take advantage of these applications, it is necessary to know reviews from consumers based on positive opinions and negative opinions. This study applies the Naive Bayes algorithm to perform text classification and selects the particle swarm optimazation selection feature to support the increased accuracy obtained. Classification evaluation and validation are performed using confusion matrix and ROC curves. The results showed an increase in accuracy previously 88.50% and AUC 0.535, increased to 90.50% and AUC 0.525. It can be concluded that the selection of the particle swarm optimazation feature has succeeded in increasing the accuracy.Keywords: selection features, naïve bayes, particle swarm optimization.
ANALISIS PENGARUH KUALITAS WEBSITE PPDB TERHADAP KEPUASAN PENGGUNA MENGGUNAKAN REGRESI LINIER BERGANDA Silvia, Hana; Aprilia Kartini, Kasih; Dafa, Muhammad; Nuris, Nuzuliarini; Diantika, Sri
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 18 No 2 (2024): November 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v18i2.3936

Abstract

In today’s digital era, many individuals rely on websites to quickly and efficiently obtain information. Vocational High Schools (SMK) are not left behind in leveraging modern technology through the website-based New Student Admission System (PPDB). While this system offers convenience, crucial questions arise regarding the quality of the PPDB Bersama website and its impact on user satisfaction. This study aims to analyze the effect of website quality on user satisfaction at SMKS 28 Oktober 1928 II. Utilizing the Webqual 4.0 method, the research identifies three independent variables: usability, information quality, and interaction quality, with user satisfaction as the dependent variable. Data processing was conducted using Excel and SPSS. The results indicate that all independent variables significantly contribute to user satisfaction. The coefficient of determination (R²) of 0.813 suggests that 81.3% of user satisfaction can be explained by these variables, while the remaining percentage is influenced by other factors. These findings affirm that the quality of the PPDB Bersama website has a significant positive impact on user satisfaction at SMKS 28 Oktober 1928 II, highlighting the importance of enhancing and maintaining platform quality to support better educational processes.
KLASIFIKASI DATA MINING UNTUK MENGESTIMASI POTENSI CURAH HUJAN MENGGUNAKAN ALGORITMA NAIVE BAYES Nuris, Nuzuliarini; Salsabila, Nina Nur; Rifandi, Julian; Diantika, Sri
JURNAL AKADEMIKA Vol 17 No 1 (2024): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i1.1320

Abstract

One of the things that is very important in Indonesia is climate. Climate itself greatly influences human survival. The relationship between rainfall and climate is very close and complex, where climate change can affect rainfall patterns in an area. High or low rainfall can have negative impacts on the environment and agriculture. Therefore, a deep understanding of rainfall patterns is very important in development planning and natural resource management. With the classification of potential rainfall, it is hoped that it can provide accurate predictions and assist in planning and managing related risks. The classification used in this research is Naive Bayes with monthly rainfall data in East Jakarta City from 2019 - 2022. Based on the calculation results, an accuracy rate of 80% was obtained, either using manual calculations or using the RapidMiner application.
SISTEM INFORMASI SELEKSI PENERIMAAN PEGAWAI DENGAN METODE WATERFALL: Employee Recruitment Selection, Information System, Waterfall Nuris, Nuzuliarini; Ariani, Fattya
JURNAL AKADEMIKA Vol 11 No 2 (2019): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v11i2.316

Abstract

Human resources are one of the important factors in an effort to support the development of the business world. Selection of employees who still do the process manually, such as recording, still uses Microsoft Word and Microsoft Excel programs. Processing data that is quite difficult results in a delays in the process of selecting new employees, searching for data and influencing the performance of the company's internal employees. To overcome this, a better employee selection system model is needed, namely a computerized system with the waterfall method. With an employee recruitment system, selecting applications is faster and more accurate because applicants' data can be stored directly at that time can also find out whether the applicant meets the criteria or not, applicant data storage can also be minimized with a computer so that the search for the required data can be found immediately.
Implementasi Sistem Absensi Online Dan Penggajian Berbasis Website pada Apotek Medi-Z Jakarta Timur Fadhila, Azumardi Nabil; Setiawan, Paulus Tri; Setiawan, Muhammad Kevin; Nuris, Nuzuliarini; Nurachim, Rusma Insan
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 4 No. 2 (2025): Volume 4 Nomor 2 September 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v4i2.67

Abstract

Kemajuan teknologi digital mendorong sektor kesehatan untuk meningkatkan efisiensi administrasi, termasuk absensi online dan penggajian. Di Apotek Medi-Z Jakarta Timur, pencatatan masih dilakukan secara manual sehingga rawan kesalahan input, keterlambatan, dan manipulasi data. Penelitian ini difokuskan pada implementasi sistem absensi online dan penggajian berbasis website pada apotek medi-z jakarta timur guna mengubah sistem manual menjadi lebih modern dan terintegrasi. Proses pengembangan memakai metode Rapid Application Development (RAD) dengan pemodelan UML, bahasa pemrograman PHP, serta basis data MySQL yang diatur melalui phpMyAdmin. Sistem dilengkapi validasi absensi berbasis GPS radius 200 meter, pengelolaan cuti dan izin, perhitungan gaji otomatis berdasarkan data kehadiran, serta pembuatan laporan dalam format PDF. Hasil implementasi menunjukkan sistem mampu meminimalisir kesalahan pencatatan, mempercepat alur administrasi, serta memberikan transparansi dan kemudahan akses real-time bagi karyawan maupun manajemen dalam pengelolaan data kehadiran dan penggajian.
Improving Decision Accuracy Through LOPCOW Weighting and AROMAN Methods in Retail Store Location Selection Setiawansyah, Setiawansyah; Fernando, Yusra; Wahyudi, Agung Deni; Wibawa, Yohanes Eka; Nuris, Nuzuliarini
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 4 No. 1 (2025): Volume 4 Nomor 1 March 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v4i1.57

Abstract

Choosing a strategic store location is an important factor in retail business success, but this decision is often influenced by data uncertainty and scale differences among criteria that can lead to bias in the decision-making process. This study proposes the use of LOPCOW to objectively determine the criterion weights based on data variability among alternatives, and AROMAN to reduce the influence of scale differences among criteria through gradual normalization. With this approach, it is hoped to obtain a more accurate, fair, and consistent ranking of locations. The ranking results in the selection of retail store locations are based on the final value of each alternative location. The location with the code LKM ranks highest with a final value of 0.8212, indicating that this location has the most optimal characteristics compared to other locations. The results of the study show that the combination of these two methods can produce more optimal and reliable decisions in selecting retail store locations, which in turn can enhance competitiveness and operational success in the retail business. The contribution from the ranking results of this retail store location provides significant strategic insights in the decision-making process for business expansion. By leveraging a quantitative approach that generates a final value for each location alternative, this research is able to provide an objective foundation for managers or decision-makers in selecting the best location. The identification of LKM locations as the most superior alternative indicates that the evaluation method used is effective in revealing the competitive advantages of a location based on the established criteria.
Implementasi Metode RAD Pada Sistem Jasa Pengiriman Ekspedisi PT. Bina Karya Majujaya Nuris, Nuzuliarini; Sutiyono, Dirgantara Nowan
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 9, No 2 (2023): Agustus
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v%vi%i.22849

Abstract

Data recording system on expedition services at PT. Bina Karya Majujaya still done manually and written by administrative staff which can cause a long process of data collection of goods to be sent. Therefore the work system becomes inaccurate, unorganized and messy. This can be an obstacle in the search for sending data to be processed or currently being processed. Therefore the author intends to design an expedition information system at PT. Bina Karya Majujaya. Design and build an expedition service information system at PT. Bina Karya Majujaya which is a solution to simplify recording and reporting by applying the research method development of the RAD method and development applications in the form of delivery order websites in web programming language with MySQL database media.With the Expedition Service Information System at PT. Bina Karya Majujaya is expected to simplify the process of data management, files as well as reporting.