Garuda - Garba Rujukan Digital

Penerapan Algoritma K-Means Clustering pada Data Nilai Siswa untuk Menentukan Kelompok Penerima Beasiswa Sindrawati Sindrawati; Dodi Syaripudin; Agung Rachmat Raharja
SisInfo Vol 6 No 2 (2024): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/sisinfo.v6i2.900

To prevent school mistakes in determining class XII students who are entitled to receive scholarships, prevention can be done by using data mining techniques so that the school can determine decisions accurately and quickly. Clustering is a data mining technique that functions to group a number of data or objects into clusters (groups) so that each cluster will contain data that is as similar as possible and different from objects in other clusters. The method used is CRISP-DM, through the business understanding process, data understanding, data modeling, deployment, assessment, and preparation. The K-Means algorithm is the one used to construct clusters. K-Means is a non-hierarchical technique for clustering data that divides student data into multiple clusters according to how similar the data is. A total of 109 data points were used, including majors and grades in English, Indonesian, and mathematics. The three clusters that were created are as follows: the first cluster has 26 pupils, the second has 46 kids, and the third has 37 students. Based on the clusters that were generated, the study's findings can be utilized to inform decisions about which scholarship recipients should be grouped..

Application of Naïve Bayes Classifier Algorithm for Classification of Scholarship Recipients at SMA PGRI 2 Bandung Jayadi, Jayadi; Raharja, Agung Rachmat; Pramudianto, Angga; Muchsam, Yoki
International Journal of Mechanical Computational and Manufacturing Research Vol. 13 No. 2 (2024): August: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i2.169

Education is one of the rights that each Indonesian citizen has. In this manner, there's a require for government consideration to assist underprivileged individuals in instruction, to be specific through grants. SMA II PGRI is one of the schools that organizes an underprivileged grant program, the grant is within the frame of educational cost waiver help. In its execution, officers regularly have trouble in deciding understudies who get grants based on foreordained criteria. In this way, it is fundamental to analyze information mining procedures utilizing naïve bayes classifiers in information preparing and is anticipated to be utilized to analyze grant grants for grant candidates. In this way it is fundamental to analyze information mining procedures utilizing naïve bayes classifiers in information handling and is anticipated to be utilized to analyze grants for grant candidates. Grant candidate information is carried out a information cleaning and decrease prepare so that the information is less but enlightening, so that it is appropriate for assist handling. At that point classification is done with Naïve Bayes classifier to deliver a classification likelihood demonstrate. The test brought about in an precision of 87.39% and was included within the great classification criteria.

Use of Augmented Reality (AR) in Mobile Learning for Natural Science Lessons Erwis, Fauzi; Jixiong, Cai; Rahayu, Novi; Raharja, Agung Rachmat; Zebua, Rony Sandra Yofa
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.784

Background. The development of information technology continues to change from time to time, especially Augmented Reality (AR), which has opened up new opportunities in education by introducing more interactive and interesting learning concepts. In the context of Natural Science (Science) lessons, the use of Augmented Reality in Mobile Learning offers the potential to increase students’ understanding of complex concepts through visual and practical-based learning experiences. Purpose. This research aims to determine the use of Augmented Reality in Mobile Learning for learning Natural Sciences. The focus is to assess the impact of using Augmented Reality on understanding Natural Science concepts, learning motivation, and student engagement. Method. The research method used in this research is a quantitative method using a random control experiment where two groups of students are divided randomly, one group uses conventional learning methods while the other group uses the Mobile Learning application with Augmented Reality features. Data was collected through a learning motivation questionnaire. Results. The research results showed that the group that used Augmented Reality in Mobile Learning showed an increase in understanding of Natural Science concepts compared to the control group that used conventional methods. In addition, they also show higher levels of learning motivation and more active involvement in the learning process. Conclusion. The conclusion of this research is that the use of Augmented Reality in Mobile Learning for learning Natural Sciences has the potential to increase learning effectiveness by providing a more interactive, visual and practical learning experience. The results of this research show that Augmented Reality can be a valuable tool in increasing students’ understanding of Natural Science concepts, as well as motivating them to learn better. Therefore, the integration of Augmented Reality in Mobile Learning can be an effective strategy in improving the quality of Natural Sciences education in this digital era.

Implementasi Aplikasi Surface Roughness Tester atau Alat Ukur Kekasaran Permukaan Jalan Menggunakan C# dan Arduino Raharja, Agung Rachmat; Setiyono, Riyanto; Hariyanti, Ifani
Media Informatika Vol 23 No 1 (2024)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v23i1.206

Jalan merupakan salah satu akses untuk saling menghubungkan satu daerah dengan daerah lain, kerusakan pada jalan di sebabkan oleh beban muatan pada jalan terlalu berlebihan, hal ini mengakibatkan kurang baiknya jalan untuk menghubungkan satu daerah dengan daerah lainnya. Alat uji kekasaran jalan pada umumnya memang menggunakan perangkat keras yang biasanya di gunakan, namun untuk pencatatan hasilnya masih menggunakan manual dan tidak bisa di simpan dalam jangka waktu lama. Dengan adanya aplikasi ini kekasaran jalan pada suatu daerah dapat di lakukan kapan saja dan di mana saja, selain itu aplikasi ini menggunakan komputer yang terhubung dengan perangkat keras dan ini memudahkan untuk penyimpanan data dan mengeluarkan data pada sebelumnya. Dengan menggunakan GPS dapat memudahkan untuk mengetahui di daerah mana saja yang terdapat jalan yang rusak.

Forming the Character of a Physically Healthy Young Generation Through Military Education Muchsam, Yoki; Sucipto, Bambang; Rismawati, Rismawati; Rusdianti, Imanita Septian; Raharja, Agung Rachmat
TGO Journal of Community Development Vol. 1 No. 2 (2023): July - December
Publisher : Trescode Green Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56070/jcd.2023.015

This activity aims to develop the character of the young generation with good physical health through military education at Dodik Belanegara Rindam III Siliwangi, West Bandung. The methods applied include the preparation and implementation of the program, involving the entire academic community. The evaluation results show that the activity went smoothly, and the participants successfully achieved the set goals, showing improvements in physical health and character strengthening through discipline and teamwork. The discussion covers the program's success, involvement of all parties, and benefits felt by the participants. Limitations in logistics and the need for more in-depth evaluation are identified as areas for improvement. Meanwhile, suggestions for further development include the application of comprehensive evaluation methods, increased inter-institutional collaboration, and the development of a more contextual curriculum. Key findings from this study include the program's success in shaping the character and health of the younger generation, highlighting the importance of military education as a means of holistic character formation at the higher education level. These findings provide a basis for the development of similar programs in the future, with a focus on the necessary improvements to enhance their positive impact.

PERANCANGAN DAN IMPLEMENTASI CALIFORNIA BEARING RATIO (CBR) DENGAN MENGGUNAKAN C# DAN ARDUINO Raharja, Agung Rachmat; Setiyono, Riyanto; Hariyanti, Ifani
Jurnal Responsif : Riset Sains dan Informatika Vol 6 No 1 (2024): Jurnal Responsif : Riset Sains dan Informatika
Publisher : LPPM Universitas Adhirajasa Reswara Sanjaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51977/jti.v6i1.1425

California Bearing Ratio (CBR) adalah suatu cara (metode) untuk menentukan nilai daya dukung suatu tanah dalam menahan atau memikul beban-beban yang bekerja pada tanah, yaitu beban-beban yang bekerja pada permukaan jalan. Untuk mengetahui beban tanah biasanya di lakukan pada sebuah alat uji CBR pada lab, selain itu hasil perolehan yang di dapatkan dari uji tersebut masih manual dan tidak dapat disimpan ke dalam komputer, dengan adanya aplikasi CBR ini hasil yang di dapatkan dapat disimpan ke dalam sebuah komputer dan dapat dilihat berulang sesuai dengan kebutuhan. Metode penelitian yang digunakan adalah R&D dan menghasilkan sebuah produk yaitu software dan hardware. Perangkat lunak menggunakan C# dan perangkat kerasnya menggunakan Arduino. Dengan menggunakan aplikasi ini operator hanya memasukkan data yang sudah di siapkan pada aplikasi dan secara otomatis akan menghasilkan nilai yang dapat dilihat oleh operator, selain itu terdapat grafik yang dapat dilihat dan hasilnya disimpan ke dalam komputer dan hasil ini berupa file excel dan PDF. Hardware menggunakan arduino untuk menyambungkan ke dalam mekanik. Dengan adanya aplkasi ini pencarian perhitungan CBR menjadi terkomputerisasi.

Strategi Perlindungan Data Menggunakan Sistem Kriptografi Dalam Keamanan Informasi Dola Ramalinda; Jayadi; Agung Rachmat Raharja
Journal of International Multidisciplinary Research Vol. 2 No. 6 (2024): Juni 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr679

Keamanan informasi menjadi prioritas utama di era digital saat ini mengingat nilai pentingnya dalam melindungi data sensitif dari berbagai ancaman, seperti serangan malware, phishing, man-in-the-middle, dan brute force. Dalam menghadapi tantangan ini, kriptografi menjadi salah satu solusi utama untuk melindungi data sensitif. Artikel ini menguraikan jenis- jenis ancaman terhadap sistem informasi, teknik kriptografi yang digunakan dalam perlindungan data, serta implementasi kriptografi dalam sistem informasi. Diskusi meliputi penggunaan enkripsi simetris dan asimetris, hashing, dan tanda tangan digital sebagai langkah-langkah untuk melindungi data dari akses tidak sah dan memastikan integritasnya. Selain itu, artikel ini juga menyoroti pentingnya penilaian risiko, pemilihan algoritma kriptografi yang tepat, manajemen kunci yang aman, serta pengujian dan pemeliharaan rutin dalam implementasi kriptografi. Dengan memahami dan menerapkan teknik kriptografi secara efektif, organisasi dapat mengurangi risiko kebocoran data dan memastikan keamanan informasi yang optimal.

Penerapan Algoritma Decision Tree dalam Klasifikasi Data “Framingham” Untuk Menunjukkan Risiko Seseorang Terkena Penyakit Jantung dalam 10 Tahun Mendatang Raharja, Agung Rachmat; Jayadi; Pramudianto, Angga; Muchsam, Yoki
Technologia Journal Vol. 1 No. 1 (2024): Tecnologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/cwgzp962

Heart disease is one of the deadliest diseases in Indonesia and in the world, many of the sufferers do not know the risk of heart disease. This research will analyze and identify factors that will affect the risk of heart disease. With the decision tree algorithm approach which is one of the methods of machine learning that can produce predictive models based on a series of logical decisions. The application is done by classifying framingham data to assess the risk of heart disease in the next 10 years. The result is a Decision Tree model used to predict the risk of heart disease based on the Framingham dataset. The model achieved 74% accuracy on the test data

ANALISIS ALUR PENDAFTARAN PASIEN RAWAT JALAN PADA MASA PANDEMI COVID-19 DI PUSKESMAS SARIJADI Tiur R.N, Maulinnisaa; Rachmat Raharja, Agung
EMPIRIS : Jurnal Sains, Teknologi dan Kesehatan Vol. 1 No. 1 (2024): EMPIRIS : Jurnal Sains, Teknologi dan Kesehatan, Maret 2024
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/jnm6t350

Pelayanan puskesmas telah banyak melakukan perubahan untuk mengantisipasi potensi peningkatan kasus Covid-19. Selain pelayanan dalam bentuk virtual, pelayanan langsung kepada masyarakat juga dilaksanakan dengan memenuhi protokol kesehatan yang telah ditetapkan. Pendaftaran Rawat Jalan merupakan unit fungsional yang menangani penerimaan pasien yang berobat rawat jalan di puskesmas. Permasalahan yang timbul berkaitan dengan proses alur pendaftaran pasien rawat jalan ialah kurangnya pengetahuan masyarakat dengan adanya pembaharuan alur pendaftaran pada masa covid-19 menggunakan hotline atau pemeriksaan secara online dan pengambilan obat langsung ke puskesmas dengan waktu yang telah ditentukan dokter. Tujuan penelitian ini untuk mengidentifikasi alur pendaftaran rawat jalan sebelum, saat dan perbedaan alur saat pandemi covid-19. Penelitian ini menggunakan metode kualitatif dalam bentuk kata dengan penelitian deskriptif. Subjek dalam penelitian ini diambil dengan menggunakan metode purposive sampling dengan informan utama ialah Kepala Puskesmas dan Ka Subbag TU. Berdasarkan penelitian ini terdapat perbedaan pada alur pendaftaran rawat jalan sebelum dan saat pandemi dimana sebelum pandemi pasien melakukan pemeriksaan langsung di puskesmas, saat pandemi alur yang digunakan ialah hotline atau konsultasi melakukan konsultasi secara online

Use of Augmented Reality (AR) in Mobile Learning for Natural Science Lessons Erwis, Fauzi; Jixiong, Cai; Rahayu, Novi; Raharja, Agung Rachmat; Zebua, Rony Sandra Yofa
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.784

Background. The development of information technology continues to change from time to time, especially Augmented Reality (AR), which has opened up new opportunities in education by introducing more interactive and interesting learning concepts. In the context of Natural Science (Science) lessons, the use of Augmented Reality in Mobile Learning offers the potential to increase students’ understanding of complex concepts through visual and practical-based learning experiences. Purpose. This research aims to determine the use of Augmented Reality in Mobile Learning for learning Natural Sciences. The focus is to assess the impact of using Augmented Reality on understanding Natural Science concepts, learning motivation, and student engagement. Method. The research method used in this research is a quantitative method using a random control experiment where two groups of students are divided randomly, one group uses conventional learning methods while the other group uses the Mobile Learning application with Augmented Reality features. Data was collected through a learning motivation questionnaire. Results. The research results showed that the group that used Augmented Reality in Mobile Learning showed an increase in understanding of Natural Science concepts compared to the control group that used conventional methods. In addition, they also show higher levels of learning motivation and more active involvement in the learning process. Conclusion. The conclusion of this research is that the use of Augmented Reality in Mobile Learning for learning Natural Sciences has the potential to increase learning effectiveness by providing a more interactive, visual and practical learning experience. The results of this research show that Augmented Reality can be a valuable tool in increasing students’ understanding of Natural Science concepts, as well as motivating them to learn better. Therefore, the integration of Augmented Reality in Mobile Learning can be an effective strategy in improving the quality of Natural Sciences education in this digital era.

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