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KORELASI MODEL PEMBELAJARAN DENGAN HASIL BELAJAR MAHASISWA PADA PEMBELAJARAN BAHASA PEMROGRAMAN JAVA Anthony Anggrawan
Jurnal Mantik Penusa Vol. 2 No. 2 (2018): Computer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

In learning programming languages, students do not always achieve good learning outcomes, even from the results of previous studies indicating the reported failure rate is quite high. Departing from the problem of the high unsuccessful students in learning programming languages, it is necessary to do research to determine the correlation between learning models of programming languages on learning outcomes. By knowing the correlation of learning models to student learning outcomes, it can be revealed which learning model has more dominant contribution to learning outcomes in programming learning, and also the magnitude of the contribution of other factors in influencing learning outcomes outside the learning model. Furthermore, even though previous studies revealed that online learning can replace face-to-face learning, a large number of educational institutions still persist in implementing face-to-face learning models. For this reason, a correlation study between the learning model and student learning outcomes is conducted on face-to-face learning and Java programming online learning. This study found a positive and significant correlation between online learning models and mixed learning on student learning outcomes in learning the Java programming language with a coefficient of determination0.25. So it can be concluded that the variance that occurs in learning outcomes of 25% can be explained in the variables of learning model.In other words, 75% of learning outcomes are influenced not because of the influence of the learning model.
Smart Campus: Model Baru Enterprise Architecture STMIK Bumigora Mataram dalam Manajement Tata Kelola TIK Berbasis TOGAF ADM Anthony Anggrawan; Christofer Satria; Husain Husain
Jurnal Mantik Penusa Vol. 2 No. 2 (2018): Computer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Enterprise Architecture  bagaimana mengambarkan suatu organisasi bagaimana  menjalankan proses bisnis yang sedanng berjalan maupun yang akan di jalankan, teknologi jasa dan platform (rencana kerja), tanggung jawab organisasi, dengan begitu dapat beradaptasi dalam menjalankan segala bentuk sistemtem yang ada yang sesuai dengan sistem yang akan direncanakan,  sedang berjalan, termasuk  sistem yang akan di kembangkan.  Enterprise Architecture adalah sebuah cetak biru (blue print) untuk sebuah sistem yang akan di bangun (direncanakan) atau yang akan di kembangkan. Permasalahan terjadi adalah dalam pengambilan keputusan sering kali tidak dilandasi dengan informasi yang tersedia terkadang tidak relevan, kemudian informasi yang ada terkadang tidak dimanfaatkan oleh dengan baik oleh manajemen, dan tidak tepat waktu informasi yang tersedia, terdapat informasi yang terlalu banyak, informasi yang tersedia terkadang tidak akurat, adanya duplikasi data, dan adanya data yang cara pemanfaatannya tidak fleksibel. Untuk mengatasinya penelitian ini akan membuat cara baru enterprise architecture mencakup terhadap arsitektur bisnis, arsitektur data, arsitektur aplikasi, arsitektur Teknologi akan menghasilkan cetak biru. Dengan menggunakan Enterprise Architecture (EA)  dengan harapan dapat memberikan solusi dan diinginkan, penjelasan dan dokumentasi yang antara bisnis dan teknologi informasi yang dalamnya digambarkan arsitektur baseline dan arsitektur target sehingga akan terciptanya keselarasan diantara strategi bisnis dan stratergi TIK. Dalam imlementasinya peneliti menggunakan kerangka TOGAF ADM dalam perenecanaan dan pengembangan TIK dan terciptanya smart kampus di STMIK Bumigora Mataram. Kata Kunci: Enterprise Architecture (EA), Teknologi Informasi dan Komputer (TIK), Master Plan, TOGAF ADM
Pelatihan TOEFL dengan Penerapan Metode Presentation, Practice, and Production bagi Dosen pada Institut Agama Hindu Negeri Gde Pudja Mataram Muhammad Zaki Pahrul Hadi; Syamsurrijal Syamsurrijal; Titik Ceriyani Miswaty; Anthony Anggrawan
Jurnal Abdi Masyarakat Indonesia Vol 2 No 4 (2022): JAMSI - Juli 2022
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.404

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Kegiatan Pengabdian Kepada Masyarakat ini merupakan salah satu bagian dari Tri Dharma Perguruan Tinggi yang harus dilaksanakan oleh civitas akademika, khususnya para dosen Universitas Bumigora. Pengabdian Kepada Masyarakat ini berangkat dari permasalahan – permaslahan yang dihadapi mitra terutama pada saat menghadapi tes TOEFL, mereka belum memahami sepenuhnya cara atau trik untuk meningkatkan sckor atau nilai pada test TOEFL oleh karena itu kami berinisiatif untuk memecahkan masalah itu dengan mengadakan pelatihan dan bimbingan bagaimana meningkatkan nilai mereka pada tes TOEFL. Tujuan utama dari pelaksanaan pengabdian ini adalah meningkatkan score atau nilai TOEFL dengan metode Metode PPP (Presentation, Practice, And Production). Pelatihan ini sangat bermanfaat bagi peserta bimbingan atau pelatihan yang merupakan sasaran kegiatan karena setelah peserta mengikuti bimbingan ini tentu kepercayaan diri peserta di lingkungan Intitut Agama Hindu Negeri Gde Pudja Mataram meningkat karena disamping mereka terbantu dengan kesulitan materi dan soal-soal TOEFL. Untuk melihat hasil dari kegiatan ini pada akhir pelaksanaan pelatihan ini kami membandingkan hasil Pretest dan post-test. Hasil perbandingan menunjukkan bahwa adanya peningkatan yang sangat signifikan pada post-test (40%). Setelah kegiatan selesai dilaksanakan diharapkan pihak Lembaga yakni Ketua Pusat Bahasa dan ketua Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Intitut Agama Hindu Negeri Gde Pudja Mataram melakukan upaya-upaya tindak lanjut untuk meningkatkan kemampuan penguasaan Bahasa Inggris para dosen. Hasil yang didapat selama pelatihan diharapkan mampu menjadi pemacu semangat bagi pihak sekolah maupun peserta pelatihan untuk selalu meningkatkan kemampuan mereka dalam bidang Bahasa Inggris terutama yang berkaitan dengan English Proficiency Test.
PELATIHAN DESAIN KEMASAN DI SEKOLAH MENENGAH KEJURUAN NEGERI 1 SIKUR Hasbullah; Anthony Anggrawan; I Nyoman Yoga Sumadewa; Christofer Satria; Baiq Fitria Rahmiati
Abdi Widya: Jurnal Pengabdian Masyarakat Vol 1 No 2 (2022): Abdi Widya: Jurnal Pengabdian Masyarakat
Publisher : UPT Pusat Penerbitan LP2MPP ISI Denpasar

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Abstract

Sekolah Menengah Kejuruan Negeri 1 Sikur sebagai sekolah keunggulan bidang seni dan industri kreatif yang beroreintasi pada pariwisata. Kebutuhan pariwisata tentu membutuhkan tampilan branding yang menarik salah satunya adalah kemasan. Namun, dengan kurangnya tenanga pengajar yang memiliki keahlian dalam bidang desain kemasan, maka Sebagian besar peserta didik di sekolah tersebut masih kurang memahami komponen-komponen desain kemasan. Tujuan diadakannya pelatihan ini sebagai wahana berbagi dan membuka wawasan tentang desain kemasan bagi peserta didik di Sekolah Menengah Kejuruan Negeri 1 Sikur. Metode yang digunakan dalam kegiatan ini adalah Latihan terbimbing. Melalui proses simulasi dan latihan yang didampingi oleh tim pengabdi maka dapat menghasilkan desain kemasan makanan yang bervaiasi. Kegiatan ini dimulai dari mendesain menggunakan aplikasi grafis di computer sampai dengan membuat standing pouch food Oleh karena itu, kegiatan pelatihan ini perlu dilakukan pada tingkatan sekolah agar mendapatkan ilmu tambahan dan kreativitas.
Penerapan Strategi Pemasaran dalam Meningkatkan Omset Penjualan Jajanan Lokal UMKM di Kota Mataram Rini Anggriani; Anthony Anggrawan; Gusti Ayu Dasriani; Raden Bagus Faizal Irani Sidharta; Dafa Awanta; Jean Suciasti Gunawan
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 1 (2022): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i1.2120

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The Micro, Small and Medium Enterprises (MSME) sector is one of the important sectors as the main support for the community's economy.However, the Covid-19 event had a significant impact on this sector.Indeed, Covid-19 has subsided, but the impact of this phenomenon is still affecting all sectors, one of which is the Micro, Small and Medium Enterprises (MSME) sector. This service program is carried out on local snack products in the city of Mataram with the target of helping increase sales turnover of The Micro, Small and Medium Enterprises (MSME) products through optimizing the application of mix marketing strategies. The method used is a qualitative descriptive approach with data processing techniques using triangulation.The results of this service show that the application of the marketing mix marketing strategy that is carried out can have a positive and effective impact on increasing the sales turnover of The Micro, Small and Medium Enterprises (MSME) products in the city of Mataram.
Pendampingan Fotografi dan Desain Grafis di Sekolah Menengah Pertama Katolik (SMPK Kesuma) Mataram Hasbullah Hasbullah; Anthony Anggrawan; Christofer Satria; I Nyoman Yoga Sumadewa; Baiq Fitria Rahmiati
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 1 (2022): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i1.2135

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Condition of the Catholic Junior High School (SMPK Kesuma) in the COVID-19 pandemic has paralyzed the field trip activities programmed by the school every year. With the soaring Covid-19 cases in Mataram, the school replaced the field trip activities with photography and graphic design training. Photography and graphic design training aims to foster students' talents and interests in dealing with the development of science, technology and art in this current era. The method of implementing this training is by simulation and practice of photography and graphic design. Stages The activity begins with a classical presentation of the material, explaining photography techniques using simple tools such as smartphones. Furthermore, providing assistance in the practice of photography and graphic design. Graphic design assistance is carried out using a simple application available on a smartphone to produce Lombok food promotion posters. The photographic work produced becomes the task of cultural arts and the poster work made by students becomes the assessment of the tourism work program..
Prediksi Penjualan Produk Unilever Menggunakan Metode Regresi Linear Anthony Anggrawan; Hairani Hairani; Nurul Azmi
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2416

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Barokah Shop is a retail store that sells various basic necessities for daily needs. Too much inventory will result in losses such as storage costs and the possibility of a decrease in the quality of goods. On the other hand, a small amount of inventory will reduce a larger profit. This study aims to build a web-based Unilever sales prediction system using a simple linear regression method. Testing the accuracy of the prediction results of sales of Unilever products using MEA and MAPE to see the level of error in the prediction results. The dataset uses Unilever product sales data for 15 months, from January 2021 to March 2022. The dataset is divided into 12 months as training data and 3 months as testing data. Prediction results in the next 3 periods of each type of product produce the same value between the system results and the results of manual linear regression calculations. Testing the error rate on the prediction results for 3 periods, namely January to March 2022, each Ax Deodorant, Bango Kecap, Buavita, Citra Lotion, Citra Soap, Clear Shampoo, Sariwangi, Sunsilk Conditioner, Vixal and Wall's Ice Cream products belong to the category of very accurate forecasting results. With the smallest MAPE value in Sunsilk Conditioner products of 1%. Thus, the linear regression method is very accurate for predicting sales of Unilever types goods.
Prediction of Electricity Usage with Back-propagation Neural Network Anthony Anggrawan; Hairani Hairani; M. Ade Candra
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.334 KB) | DOI: 10.30812/ijecsa.v1i1.1722

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The use of electricity has become a need that is increasing day by day. So it is not surprising that the problem of using electricity has attracted the attention of many researchers to research it. Electricity users make various efforts and ways to save on the use of electrical energy. One of them is saving electricity usage by electricity users using electrical energy-efficient equipment. That is why the previous research confirms the need for interventions to reduce the use of electrical energy. Therefore, this study aims to predict electricity use and measure the performance of the anticipated results of electricity use. This study uses the back-propagation method in predicting the use of electricity. This study concluded that the backpropagation architectural model with better performance is the six hidden layer architecture, 0.4 learning rate, and the Root Means Square Error (RMSE) value of 0.203424. Meanwhile, the training data test results get the best architectural model on hidden layer 8 with a learning rate of 0.3 with an RMSE performance value of 0.035811. The prediction results show that the prediction of electricity consumption is close to the actual data of actual electricity consumption.
Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link Hairani Hairani; Anthony Anggrawan; Dadang Priyanto
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1069

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Most of the health data contained unbalanced data that affected the performance of the classification method. Unbalanced data causes the classification method to classify the majority data more and ignore the minority class. One of the health data that has unbalanced data is Pima Indian Diabetes. Diabetes is a deadly disease caused by the body's inability to produce enough insulin. Complications of diabetes can cause heart attacks and strokes. Early diagnosis of diabetes is needed to minimize the occurrence of more severe complications. In the diabetes dataset used, there is an imbalanced data between positive and negative diabetes classes. Diabetes negative class data (500 data) is more than diabetes positive class (268), so it can affect the performance of the classification method. Therefore, this study aims to apply the Smote-Tomeklink and Random Forest methods in the classification of diabetes. The research methodology used is the collection of diabetes data obtained from Kaggle, as many as 768 data with eight input attributes and 1 output attribute as a class, pre-processing data is used to balance the dataset with Smote-Tomeklink, classification using the random forest method, and performance evaluation based on accuracy, sensitivity, precision, and F1-score. Based on the tests conducted by dividing data using 10-fold cross-validation, the Random Forest algorithm with Smote-TomekLink gets the highest accuracy, sensitivity, precision, and F1-score compared to Random Forest with Smote. The Random Forest algorithm with Smote-Tomeklink has 86.4% accuracy, 88.2% sensitivity, 82.3% precision, and 85.1% F1-score. Thus, using Smote-Tomeklink can improve the performance of the random forest method based on accuracy, sensitivity, precision, and F1-score.
Design of Field Rental System on Web-Based Garuda Mataram Badminton Club Khairan Marzuki; Anthony Anggrawan; Helna Wardhana; Lalau Ganda Rady Putra; Canggih Wahyu Rinaldi
JURNAL TEKNIK INFORMATIKA Vol 16, No 1 (2023): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v16i1.27927

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Residents of West Nusa Tenggara, Mataram City, mostly like badminton. GOR Badminton Garuda is a sports building that provides sports field rental services specifically for badminton (badminton) in the city of Mataram. Rental management at the Garuda Badminton Building is still carried out conventionally, namely by manually recording the list of field tenants in the rental book, resulting in difficult data searches and frequent schedule recording errors. In addition, making reports takes a long time because they are still made from rental books. In terms of field reservation, it is also considered less effective because tenants have to come to the field. The solution provided is to create a web-based online field rental information system using the Waterfall method. The results of creating this information system can make it easier for admins to manage rentals and make it easier for the public to get information and field booking services online. Based on Usability testing using the ISO 9126 model, the Field Rental Information System at the Garuda Badminton Sports Hall is in good criteria with a percentage of 83%.
Co-Authors Abdillah, Mokhammad Nurkholis Abdul Rahim Ahmat Adil Alfilail, Nur Anggriani, Rini Aprilia Dwi Dayani Ariq, Tomy Ayu Dasriani, Ni Gusti Azhar, Raisul Azhari Azhari Bidari Andaru Widhi Candra, M. Ade Canggih Wahyu Rinaldi Cecep Kusmana christofer satria Christofer Satria Dadang Priyanto Dadang Pyanto Dafa Awanta Dayani, Aprilia Dwi Dedi Aprianto Dewa Ayu Oki Astarini Diah Supatmiwati Dian Syafitri Chani Saputri Didiharyono, D. Donny Kurniawan Dwi Kurnianingsih Dyah Susilowati Efrizoni, Lusiana Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Erwin Suhendra Fadiel Rahmad Hidayat Hairani Hairani Haryono Haryono Hasbullah Hasbullah Hasbullah Hasbullah Hasbullah Helna Wardhana Hengki Tamando Sihotang Herawati, Baiq Candra Hilda Hastuti Huda, Dias Nabila Husain Husain I Nyoman Yoga Sumadewa I Nyoman Yoga Sumadewa Ikang Murapi Irwan Cahyadi Jean Suciasti Gunawan Kamil, Wahyu Katarina Katarina Khairan marzuki Khasnur Hidjah Kurniadin Abd Latif Lalau Ganda Rady Putra Lalu Ganda Rady Putra Lanang Sakti Lutfie, Muhammad Hilal Mumtaz M Najmul Fadli M. Ade Candra M. Thontowi Jauhari Mardedi, Lalu Zazuli Azhar Maulana, Rahmat Mayadi Mayadi Mayadi Mayadi Miswaty, Titik Ceriyani Muhammad Innuddin Muhammad Ridho Akbar Muhammad Rosikhu MUHAMMAD TAJUDDIN Muhammad Zaki Pahrul Hadi Muhammad Zulfikri Muhsin, Lalu Busyairi Nurhidayati, Maulida Nurul Azmi Nurul Hidayah Peter Wijaya Sugijanto Primajati, Gilang Purnama, Baiq Kartika Putu Tisna Putra Qudsi, Jihadil R. Ayu Ida Aryani Raden Bagus Faizal Irani Sidharta Rahmat Maulana Rahmawati, Lela Rahmiati, Baiq Fitria Rini Anggriani Rini Anggriani Riosatria, Riosatria Santoso, Heroe Sarjon Defit Satuang Satuang Sirojul Hadi Siti Soraya Sri Astuti Iriyani SUBUDIARTHA, I NYOMAN Sugijanto, Peter Wijaya Sunardy Kasim Supriantono, Herman Sutarman Syahrir, Moch. Syamsurrijal Syamsurrijal Taufik Rahman Tomi Tri Sujaka Triwijoyo, Bambang Krismono v, Sovian Veithzal Rivai Zainal Wayan Canny Naktiany Wenny Wijaya Wiya Suktiningsih Zulkipli Zulkipli