MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer最新文献_第8页

Pengembangan Sistem Informasi Pemantauan Harga Beras dan Gabah dengan Short Message Gateway 稻谷价格监测信息系统的开发，并配有短消息网关

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1546

Mayadi Mayadi, Anthony Anggrawan

{"title":"Pengembangan Sistem Informasi Pemantauan Harga Beras dan Gabah dengan Short Message Gateway","authors":"Mayadi Mayadi, Anthony Anggrawan","doi":"10.30812/matrik.v21i2.1546","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1546","url":null,"abstract":"Dinas Perindustrian dan Perdagangan Kabupaten Lombok Timur merupakan instansi yang menjalankan fungsinya dalam memantau harga komoditas khususnya beras dan harga gabah. Laporan harga beras dan gabah yang berlansung selama ini masih dijalankan secara manual dengan periode pelaporan dua kali tiap bulan. Sementara itu, harga beras dan gabah di pasaran tidak stabil sehingga menimbulkan masalah dalam menentukan dan menginformasikan harga beras dan beras dengan tepat. Oleh karena itu, tujuan dari penelitian ini adalah membangun sistem informasi memantau harga beras dan gabah dengan short message (SMS) gateway. Implikasi dengan dibangunnya sistem informasi SMS gateway ini adalah meningkatkan pelayanan yang lebih memudahkan pengguna dan administrator dalam proses pemantauan harga beras dan gabah. Metode yang digunakan adalah Rapid Application Development (RAD) dengan tahapan perencanaan, analisis dan desain, hasil desain prototipe, dan pengujian akhir. Hasil yang diperoleh dari penelitian ini menyimpulkan bahwa sistem informasi aplikasi SMS gateway yang dibangun memberikan solusi mengatasi permasalahan (kendala) yang selama ini dihadapi oleh Dinas Perindustrian dan Perdagangan dalam memantau harga komoditas beras dan gabah, dan juga meningkatkan pelayanan yang lebih baik kepada masyarakat dalam menyediakan informasi harga beras dan gabah.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"1999 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128257230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Seleksi Fitur Terhadap Performa Kinerja Sistem E-Nose untuk Klasifikasi Aroma Kopi Gayo 选择E-Nose系统对Gayo咖啡气味分类的性能性能

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1495

Budi Sumanto, Denting Romantika Java, Wahyu Wijaya, Jans Hendry

{"title":"Seleksi Fitur Terhadap Performa Kinerja Sistem E-Nose untuk Klasifikasi Aroma Kopi Gayo","authors":"Budi Sumanto, Denting Romantika Java, Wahyu Wijaya, Jans Hendry","doi":"10.30812/matrik.v21i2.1495","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1495","url":null,"abstract":"Tujuan dari penelitian ini adalah mengoptimasi kinerja system E-Nose dengan melakukan seleksi fitur untuk memperoleh kombinasi fitur yang terbaik dalam mengklasifikasi aroma jenis kopi arabika Gayo. Kopi ini merupakan salah satu kopi spesial dari Indonesia yang berasal dari Provinsi Aceh. Berbagai faktor dapat mempengaruhi hasil akhir kopi salah satunya pada proses pengolahan pasca panen diantaranya teknik proses kering (drying) dengan metode Natural dan Wine. Perbedaan metode pengolahan pasca panen ini dapat mempengaruhi aroma kopi yang dihasilkan dari setiap kopi yang memiliki aroma dan cita rasa yang khas. Penerapan sistem Electronic Nose (E-Nose) dapat diaplikasikan untuk mengklasifikasi aroma yang berbeda dari jenis kopi Gayo natural dan Gayo wine, namun kesamaan respon sensor dan banyaknya data menyebabkan kurang spesifik dan menurunkan performa kinerja sistem. Implementasi seleksi fitur dapat diterapkan pada proses klasifikasi dengan menggunakan metode Support Vector Machine (SVM) berdasarkan jumlah galat Sum of Absolute Errors (SAE) untuk mendapatkan kombinasi fitur terbaik sehingga mendapatkan kinerja sistem yang lebih optimal. Hasil penelitian ini mendapatkan 5 fitur terbaik dengan nilai akurasi sebesar 93,33%, presisi sebesar 93,33% dan sensitivitas sebesar 93,33%. \u0000 ","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124769200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Mobile Digital Healthcare Application For Pregnant Women Based on Android 基于Android的孕妇移动数字医疗应用程序设计

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1527

Sri Nawangsari, Robby Kurniawan Harahap, H. Rasyid, N. Herlina, Erik Ekowati, Anugriaty Indah Asmarany

{"title":"Design of Mobile Digital Healthcare Application For Pregnant Women Based on Android","authors":"Sri Nawangsari, Robby Kurniawan Harahap, H. Rasyid, N. Herlina, Erik Ekowati, Anugriaty Indah Asmarany","doi":"10.30812/matrik.v21i2.1527","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1527","url":null,"abstract":"Regulations for reducing mobility during the Covid-19 pandemic have become a problem for pregnant women. Pregnant women are a group with a high risk of being exposed to the virus. In addition, regular visits to health service centers or Puskesmas are also limited. Then the reduction in routine visits causes the health condition of pregnant women to be unable to be monitored. In this paper, the mobile application was designed and used as a digital guide to help monitor the condition of pregnant women during the pandemic. The research methods used are based on the ADDIE Framework with the software development method using the Experiment and Revision Collaboration (ERC). This mobile application is called Salute Bidan. The Salute Bidan feature is like digitizing some of the midwife tasks which consist of matters relating to pregnancy. The thing that distinguishes this application from other applications is self-screening. This self-screening was developed based on the level of pregnancy risk using the development of 30 risk criteria from the Poedji Rochyati scorecard. This research result is a mobile application in addition to the results of a web application with a web view technique. This app has been tested using black-box testing with use case and the results of all test cases passing.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124421254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Klasterisasi Sekolah Menggunakan Algoritma K-Means berdasarkan Fasilitas, Pendidik, dan Tenaga Pendidik 学校的标准使用基于设施、教育工作者和教育工作者的k -手段算法

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1411

Nurahman Nurahman, Agung Purwanto, Sigit Mulyanto

{"title":"Klasterisasi Sekolah Menggunakan Algoritma K-Means berdasarkan Fasilitas, Pendidik, dan Tenaga Pendidik","authors":"Nurahman Nurahman, Agung Purwanto, Sigit Mulyanto","doi":"10.30812/matrik.v21i2.1411","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1411","url":null,"abstract":"Fasilitas pendidikan merupakan salah satu indikator untuk tercapainya capaian pembelajaran di sekolah. Keberadaan fasilitas, guru, dan tenaga pendidik sangat dibutuhkan pada lingkungan sekolah. Untuk memudahkan pemerintah setempat dalam penanganan pemerataan kebutuhan sekolah, maka diperlukan pengklasteran atau pengelompokan sekolah. Tujuan dari penelitian ini adalah membantu pihak pemerintah dalam mengklaster sekolah tertentu menjadi beberapa cluster, sehingga memudahkan untuk melakukan pendampingan maupun pengadaan kebutuhan sekolah dilingkungan pemerintah Kabupaten Seruyan. Klasterisasi dilakukan dengan menggunakan algoritma K-Means. Penerapan Algoritma K-Means dengan menentukan nilai Cluster yaitu 3. Hasil penelitian menunjukan bahwa setiap Cluster memiliki jumlah keanggotaannya masing-masing. Pada Cluster0 terdiri dari 178 sekolah, Cluster1 terdiri dari 3 sekolah, dan Cluster2 terdiri dari 43 sekolah. Kemudian hasil pemeringkatan Cluster secara berurutan diperoleh dari Cluster1, Cluster0, dan terakhir adalah Cluster2. Selanjutnya dalam pengujian performance algoritma K-Means dengan membagi menjadi 3 Cluster diperoleh nilai Davies Bouldin Index senilai -0,695. Dari hasil pegolahan dan analisis data terdapat 43 sekolah dalam cluster rendah, sehingga penelitian ini merekomendasikan perlu dilakukan pendampingan dan pengadaan kebutuhan sekolah terhadap sekolah cluster rendah oleh dinas pendidikan pada pemerintah kabupaten Seruyan.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132131203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Implementation of K-Means Clustering on Poverty Indicators in Indonesia 在印度尼西亚实施k -均值聚类的贫困指标

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1289

S. Annas, B. Poerwanto, Sapriani Sapriani, Muhammad Fahmuddin S

引用次数: 2

Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering 分割招生地点使用RFM方法和k -手段集合体

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1542

Hairani Hairani, D. Susilowati, Indah Puji Lestari, Khairan Marzuki, Lalu Zazuli Azhar Mardedi

{"title":"Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering","authors":"Hairani Hairani, D. Susilowati, Indah Puji Lestari, Khairan Marzuki, Lalu Zazuli Azhar Mardedi","doi":"10.30812/matrik.v21i2.1542","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1542","url":null,"abstract":"Persaingan penerimaan mahasiswa baru antar kampus swasta sangat ketat untuk menarik calon mahasiswa sehingga membutuhkan strategi. Strategi Universitas Bumigora adalah mengirimkan tim promosi ke sekolah-sekolah di pulau Lombok maupun pulau sumbawa. Permasalahan pihak panitia Penerimaan Mahasiswa Baru selama ini adalah tidak melakukan segmentasi sekolah yang menjadi skala prioritas untuk dikunjungi agar efektif dan efisien. Tujuan penelitian ini adalah melakukan segmentasi tingkat potensial sekolah sebagai strategi untuk memilih lokasi promosi penerimaan mahasiswa baru Universitas Bumigora menggunakan analisis model RFM dan metode K-means. Tahapan penelitian terdiri dari persiapan data penerimaan mahasiswa baru tahun 2019 dan 2020, pra-pengolahan data, penerapan model Recency (R), Frequency (F), dan Monetary (M)implementasi metode K-means, dan analisa hasil. Hasil penelitian ini adalah terbentuk 3 klaster tingkat potensial sekolah yang dapat dijadikan skala prioritas untuk lokasi promosi penerimaan mahasiswa baru Universitas Bumigora yaitu kurang potensial, potensial, dan sangat potensial. Klaster sangat potensial (C2) terdapat 28 sekolah, klaster potensial (C3) terdapat 90 sekolah, dan klaster kurang potensial (C1) terdapat 152 sekolah.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121890134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Expert System and IoT for Diagnose of Feline Panleukopenia Virus using Certainty Factor 基于确定性因子的专家系统和物联网诊断猫泛白细胞减少症病毒

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1517

Ilham Firman Ashari, Vanesa Adhelia

{"title":"Expert System and IoT for Diagnose of Feline Panleukopenia Virus using Certainty Factor","authors":"Ilham Firman Ashari, Vanesa Adhelia","doi":"10.30812/matrik.v21i2.1517","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1517","url":null,"abstract":"Cats are animals that are loved by many people and are widely used as pets. All things related to cat health will be pursued by cat owners. However, sometimes the prevention efforts that have been made by cat owners cannot stop the spread of cat diseases, especially those caused by viruses. One of the viruses that can infect cats is feline panleukopenia virus. Where this virus can be deadly and can spread easily. Sometimes the symptoms caused are like ordinary diseases and can not be easily understood by cat owners. Early diagnosis is needed to prevent this disease. What can be done is to create an expert system, which with this system can diagnose feline panleukopenia based on the initial symptoms seen. In addition, to support diagnosis, use IoT devices to determine the body temperature and heart rate of the cat. The purpose of this study is to provide an early prediction of Panleu disease in cats, so that it can make it easier for users to immediately follow up from the initial diagnosis obtained. The research was conducted by conducting a literature study, collecting and analyzing data, making designs and tools, implementing, and testing. The results obtained from this study used 13 samples obtained from veterinarians, where the results of the expert diagnosis were eight samples of acute panleukopenia, four samples of chronic panleukopenia, and 1 sample of non-panleukopenia. The results were obtained with an accuracy of 92 %. The average deviation value of the pulse sensor is 2.40 % and the average deviation value of the LM35 sensor is 1.30 %.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124062693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Algorithm Symmetric 2-DLDA for Recognizing Handwritten Capital Letters 手写大写字母识别的对称2-DLDA算法

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1254

Ismail Husein, Rina Widyasari

{"title":"Algorithm Symmetric 2-DLDA for Recognizing Handwritten Capital Letters","authors":"Ismail Husein, Rina Widyasari","doi":"10.30812/matrik.v21i2.1254","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1254","url":null,"abstract":"Statistical pattern recognition is the process of using statistical techniques to obtain information and make informed decisions based on data measurements. It is possible to solve the doubt inherent in the objective function of the 2-Dimension Linear Discriminant Analysis by employing the symmetrical 2-Dimension Linear Discriminant Analysis approach. Symmetrical 2-dimensional linear discriminant analysis has found widespread use as a method of introducing handwritten capital letters. Symmetric 2-DLDA, according to Symmetric 2-DLDA, produces better and more accurate results than Symmetric 2-DLDA. So far, pattern recognition has been based solely on computer knowledge, with no connection to statistical measurements, such as data variation and Euclidean distance, particularly in symmetrical images. As a result, the aim of this research is to create algorithms for recognizing capital letter patterns in a wide range of handwriting. The ADL2-D symmetric method is used in this study as the development of the ADL2-D method. The research results in an algorithm that considers the left and right sides of the image matrix, as opposed to ADL2-D, which does not consider the left and right sides of the image matrix. In pattern recognition, the results with symmetric ADL2-D are more accurate","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130848598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Otsu Method for Chicken Egg Embryo Detection based-on Increase Image Quality 基于提高图像质量的蛋胚检测Otsu方法

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1724

S. Suhirman, S. Saifullah, A. T. Hidayat, Rr. Hajar Puji Sejati

{"title":"Otsu Method for Chicken Egg Embryo Detection based-on Increase Image Quality","authors":"S. Suhirman, S. Saifullah, A. T. Hidayat, Rr. Hajar Puji Sejati","doi":"10.30812/matrik.v21i2.1724","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1724","url":null,"abstract":"Detection of chicken egg embryos using image processing has limitations and needs some processes for improvement. By human vision, the previous process used binoculars and candling using light/beams directed at the chicken eggs in the incubator. In this study, we propose the application of image segmentation using the Otsu method in detecting chicken egg embryos. This method uses image segmentation with increased image quality (preprocessing) by several methods such as resizing, grayscaling, image adjustment, and image enhancement. These processes produce a better image and can be used for input in the segmentation process. In addition, this study compares several segmentation methods in detecting chicken egg embryos, such as thresholding, Otsu basic, and k-means clustering. The results show that our proposed method produced segmentation images to detect chicken egg embryos of 200 datasets images. This method has a faster process and can create a uniform segmentation than other methods. However, other methods can also detect chicken egg embryos. The method’s accuracy proposed in this study increased by 1.5% compared to other methods. In addition, the resulting SSIM value has a percentage close to and more than 90%, which means that the segmentation of the results obtained can be used to detect chicken egg embryos.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127821602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Pengaruh Penggunaan Media Sosial pada Penggunaan Pembelajaran berbasis Mobile SI-BAJAKAH 社交媒体对移动教学的影响

MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Pub Date : 2022-03-31 DOI: 10.30812/matrik.v21i2.1689

I. Windiarti, Miftahurrizqi Miftahurrizqi, Agung Prabowo

{"title":"Pengaruh Penggunaan Media Sosial pada Penggunaan Pembelajaran berbasis Mobile SI-BAJAKAH","authors":"I. Windiarti, Miftahurrizqi Miftahurrizqi, Agung Prabowo","doi":"10.30812/matrik.v21i2.1689","DOIUrl":"https://doi.org/10.30812/matrik.v21i2.1689","url":null,"abstract":"Tujuan penelitian ini adalah mengeksplorasi bagaimana faktor usia dan gender serta kondisi lingkungan sosial kemasyarakatan akan mempengaruhi penggunaan pembelajaran berbasis teknologi yaitu pada aplikasi SI-BAJAKAH. Penelitian ini dilakukan dengan cara mengedarkan kuisioner kepada 414 siswa SMP, SMA, dan SMK. Adapun metode statistik yang dilakukan adalah Analisis Varians (ANOVA) dan Uji-t sample independen. Metode pertama untuk membandingkan 3 variabel yang berbeda dalam penelitian ini, sedangkan metode kedua ini sangat penting untuk mengetahui apakah ada signifikansi statistik antara dua kelompok yang saling tidak terkait, dalam hal ini laki-laki dan perempuan adalah dua variabel independen. Hasil yang diperoleh dari penelitian ini adalah adanya perbedaan usia dan gender dan faktor lingkungan sosial dari para siswa tersebut yang menghasilkan persepsi positif dalam implementasi pembelajaran menggunakan aplikasi SI-BAJAKAH ini. Rekomendasi untuk penelitian yang akan datang adalah penelitian tentang metode peningkatan kualitas implementasi aplikasi SI-BAJAKAH agar lebih baik lagi.","PeriodicalId":364657,"journal":{"name":"MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128245432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1