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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JURNAL PENGABDIAN KEPADA MASYARAKAT Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani SMARTICS Journal Jurnal Pengabdian Pada Masyarakat Jurnal ICT : Information Communication & Technology JATI (Jurnal Mahasiswa Teknik Informatika) Tematik : Jurnal Teknologi Informasi Komunikasi Infotech: Journal of Technology Information Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Media Jurnal Informatika Jurnal Buana Pengabdian INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Rully Pramudita
Universitas Bina Insani
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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Evaluation of Merdeka Belajar Kampus Merdeka to Improve The Quality of Tridharma at Bina Insani University Rully Pramudita; Saludin Muis; Kristiana Widiawati; Ayu Medina Prameswari; Febriyanti Valentina
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 6 No 1 (2021): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2021)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (672.825 KB) | DOI: 10.51211/isbi.v6i1.1709

Abstract

Abstrak: Kebijakan terbaru yang dikeluarkan Kementerian Pendidikan dan Kebudayaan yaitu Kebijakan Belajar Mandiri – Kampus Merdeka, pemerintah sangat mengharapkan peran serta seluruh Perguruan Tinggi di Indonesia mampu mencetak dosen dan mahasiswa yang dibutuhkan masyarakat dan dunia industri serta perkembangan saat ini, pendidikan dituntut untuk melakukan inovasi dalam penelitian dan aplikasi dalam kegiatan pengabdian kepada masyarakat. Merdeka Belajar - Kampus Merdeka memberikan kesempatan kepada mahasiswa dan dosen untuk mendapatkan pengalaman penelitian yang lebih luas, penelitian yang berdampak positif bagi masyarakat. Tujuan kegiatan adalah untuk melakukan penelitian yang berdampak pada pelaksanaan pengabdian kepada masyarakat sesuai dengan kebijakan Mandiri Belajar - Kampus Mandiri; Universitas Bina Insani dapat menyusun dan mengimplementasikan hasil penelitian Merdeka Belajar – Kampus Merdeka yang bermanfaat bagi masyarakat. Sasaran kegiatan Universitas Bina Insani adalah menyempurnakan road map penelitian dan mengimplementasikan berbagai bentuk kerjasama dengan mitra secara berkesinambungan. Kata kunci: Kampus Merdeka, Masyarakat, Merdeka Belajar, Riset. Abstract: The latest policy issued by the Ministry of Education and Culture, namely the Independent Learning Policy - Merdeka Campus, the government really expects the participation of all Indonesian Universities to be able to create lecturers and students needed by the community and the industrial world as well as the current developments, education is required to carry out innovation in research and application in community service activities. Merdeka Learning - Merdeka Campus provides opportunities for students and lecturers to get a wider research experience, research that has a positive impact on society. The purpose of the activity is to conduct research that has an impact on the implementation of community service in accordance with the Independent Learning - Independent Campus policy; Bina Insani University can compile and implement the research results of Merdeka Learning – Merdeka Campus which have benefits for the community. The target of activities for Bina Insani University is to improve the research road map and implement various forms of collaboration with partners on an ongoing basis. Keywords: Community, Merdeka Learning, Merdeka Campus, Research.
Sistem Smart Class Berbasis Internet Of Things dengan Menggunakan Metode Prototype Rully Pramudita; Kevin Setyawan
SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i1.7209

Abstract

The majority of student teaching and learning activities are currently carried out conventionally without a touch of high technology along with the development of existing technology. The importance of using technology in teaching and learning classrooms is because current needs are increasing with the times. Therefore, activities were carried out to build a prototype application system for turning off and turning on electronic equipment built in blynk. Android as a new alternative solution for remote control. In addition, the control system built utilizes the WiFi network for sending control instructions to Arduino and the Blynk application as a system user interface on smartphones. To be able to turn off and turn on electronic devices through the Blynk application, the user must be connected to the internet and the microcontroller must be connected to the internet network. This system using the internet network will make it easier to turn off and turn on electronic devices in class every day. This tool is also equipped with a turn off or turn on feature on a smartphone via the Blynk application. This study also uses the prototype method which has 5 stages of development, namely communication, rapid planning, modeling and planning quickly, making prototypes and testing systems. This tool is very useful for educational institutions today, because with this tool teachers or staff no longer need to turn off or turn on electronic devices manually every day.
PKM Pengenalan Augmented 3D Reality Menggunakan Unity pada Universitas Teknologi Mataram Ahmad Chusyairi; Didik Setiyadi; Saludin Saludin; Rully Pramudita; Ismail Marzuki; Samhana Suryati Subari
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 5, No 2 (2021): Oktober 2021
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.075 KB) | DOI: 10.30734/j-abdipamas.v5i2.1506

Abstract

ABSTRACTMataram Technology University (UTM Mataram) manages the Faculty of Information and Communication Technology (FTIK) which houses 5 (five) study programs: Informatics Engineering, Computer Systems Engineering, Information Technology, Information Systems, and Software Engineering. The background in this PkM is the lack of understanding of 1st-semester students who take the course Introduction to Information Technology regarding Augmented 3D Reality (AR). The goal is to increase students' knowledge and skills about AR supported by Unity tools. The PkM method by providing training and demonstrations online in the form of Zoom media, Live YouTube, and Google Drive Links, 5  modules  contains module 1 about introduction to AR and Unity, module 2 about downloading Unity, module 3 about Unity installation, module 4 about basic tutorials and module 5 about project installation on android. The evaluation was given in the form of a PkM questionnaire which 144 participants were filled in. The result is an increase in the participants' understanding, knowledge, and skills about AR with the Unity tool in the FTIK UTM Mataram and on the Good and Very Good assessment of 82.92%. Keywords: Augmented 3D Reality, Unity, UTM Mataram ABSTRAKUniversitas Teknologi Mataram (UTM Mataram) mengelola Fakultas Teknologi Informasi dan Komunikasi (FTIK) yang menaungi 5 (lima) prodi: Teknik Informatika, Rekayasa Sistem Komputer, Teknologi Informasi, Sistem Informasi dan Rekayasa Perangkat Lunak. Latar belakang dalam PkM ini adalah kurangnya pemahaman mahasiswa semester 1 yang mengambil matakuliah Pengantar Teknologi Informasi mengenai Augmented 3D Reality (AR). Tujuannya adalah meningkatkan pengetahuan dan keterampilan mahasiswa mengenai AR yang didukung tool Unity. Metode PkM dengan memberikan pelatihan dan demonstrasi melalui daring yang berupa media Zoom, Live YouTube dan Link Google Drive modul yang 5 berisi: modul 1 tentang pengenalan AR dan Unity, modul 2 tentang download Unity, modul 3 tentang instalasi Unity, modul 4 tentang basic tutorial dan modul 5 tentang instalasi project pada android. Evalusi diberikan dalam bentuk angket PkM yang mana diisi 144 peserta. Hasilnya adalah meningkatnya pemahaman, pengetahuan dan keterampilan peserta tentang AR dengan tool Unity pada FTIK UTM Mataram dan pada penilaian Baik dan Baik Sekali sebesar 82,92%. Kata Kunci: Augmented 3D Reality, Unity, UTM Mataram.  
Perancangan Alat Pemberi Pakan Kucing Otomatis Berbasis IoT Pada Sadewa Pet Care Bekasi Muhammad Rizal; Rully Pramudita
JURNAL MAHASISWA BINA INSANI Vol 7 No 2 (2023): Jurnal Mahasiswa Bina Insani (Februari 2023)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak: Perkembangan zaman dari masa ke masa sangat pesat, seperti era modern sekarangini. Hal-hal yang berkaitan dengan internet adalah hal penting dalam keberlangsungan kehidupan manusia. Seperti hal nya dengan alat-alat otomatis yang sedang berkembang pesat. Internet of Things atau IoT adalah sebuah konsep di mana suatu benda atau objek ditanamkan teknologi-teknologi seperti sensor dan software dengan tujuan untuk berkomunikasi, mengendalikan, menghubungkan, dan bertukar data melalui perangkat lain selama masih terhubung ke internet. Alat pakan kucing otomatis adalah alat yang dibuat untuk memudahkan pemberi makan atau pet owner kepada hewan peliharaan. Perancangan alat pakan kucing peliharaan ini dapat dilakukan berbasis Internet of Things atau IoT. Pada Sadewa Pet Care terdapat permasalahan yaitu petugas hanya satu orang, sering terjadi kelalaian dan tidak tepat waktu untuk pemberian pakan. Prototype adalah metode yang digunakan dalam penelitian ini. Metode Prototype merupakan metode pengembangan perangkat lunak yang memungkinkan adanya interaksi antara pengembang system dengan pengguna sistem, sehingga dapat mengatasi ketidakserasian antara pengembang dan pengguna. Alat pemberian pakan kucing otomatis dapat membantu mempermudah pekerjaan petugas sehingga pemberian pakan kucing menjadi lebih terkontrol. Kata kunci: Internet, Internet of Things, Pet Shop, Prototype, Teknologi. Abstract: The development of the times from time to time is very fast, like today's modernera.Matters related to the internet are important things in the continuity of humanlife.As is the case with automated tools that are growing rapidly. The Internet of Thingsor IoT is a concept in which an object or object is embedded with technologies suchas sensors and software with the aim of communicating, controlling, connectingand exchanging data through other devices while still connected to the internet.Anautomatic cat feeder is a tool made to make it easier for feeders or pet owners to pets. The design of this pet cat feed tool can be done based on the Internet of Things or IoT. At Sadewa Pet Care there are problems, namely only one officer, negligence often occurs and feeding is not timely. Prototype is the method used in thisresearch. The Prototype method is a software development method that allows for interaction between system developers and system users, so as to overcome incompatibilitiesbetween developers and users. Automatic cat feeding tools can help make the workof officers easier so that cat feeding becomes more controlled.
Optimasi Algoritma Machine Learning Menggunakan Teknik Bagging Pada Klasifikasi Diagnosis Kanker Payudara Pramudita, Rully; Muis, Saludin; Safitri, Nadya; Shafirawati, Fitri
TEMATIK Vol 11 No 1 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i1.1928

Abstract

Classification algorithms have a very important role in Machine Learning, but not all algorithms have the same performance in every case. Algorithm performance can be affected by the type of data used, differences in problem characteristics, and the parameters used. Additionally, ensemble learning techniques such as Bagging can affect algorithm performance. Therefore, the problem arises of how to choose the most suitable algorithm for a particular classification task and how to optimize the performance of the algorithm. This research aims to carry out a comparative analysis and optimization of classification algorithms in Machine Learning. Classification algorithms that will be evaluated include Support Vector Machine (SVM), Neural Network, Logistic Regression, Decision Tree, and K-Nearest Neighbors (K-NN). Evaluation of the performance of these algorithms will be carried out using the confusion matrix, Receiver Operating Characteristic (ROC) Curve, and Area Under Curva (AUC). The result of this research is a comparative analysis of the optimization of classification algorithms using the bagging technique. After carrying out the evaluation process using the confusion matrix and ROC curve, it was found that the algorithm optimization using the bagging technique only had an effect on the Decision Tree (DT) and K-Nearest Neighbors (KNN) algorithms. . The accuracy of the DT algorithm increased by 0.6% while the accuracy of KNN increased by 1.3%. The AUC value for the DT algorithm increased by 1.4% and the KNN algorithm increased by 0.3%.
SISTEM PENDETEKSI SAMPAH LOGAM DENGAN SAMPAH NON LOGAM UNTUK PENGEPUL BARANG BEKAS DIKAMPUNG BEKASI JATI Wulan Nabilla, Dwi; Pramudita, Rully
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 6 No. 2 (2022): JATI Vol. 6 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v6i2.4690

Abstract

Pada tahun 2021 Kepala Dinas Lingkungan Hidup Kota Bekasi mengatakan jika Sampah di Kota Bekasi menggapai 1. 900 ton perhari. Sampah- sampah itu dijaring petugas dari 12 kecamatan yang terdapat di Kota Bekasi, akan tetapi tidak seluruh sampah bisa diangkut dalam satu hari. Perharinya pemot hanya dapat mengangkat 900 ton sampah. Serta Pimpinan Kajian Ekonomi Lingkungan dari Lembaga Penyelidikan Ekonomi Masyarakat (LPEM) mengatakan kalau pengepul barang bekas berikan kontribusi yang besar untuk industri pengelolaan sampah selaku bisnis informal. Pada tempat pengepul barang bekas yang diteliti ini ada beberapa permasalahan salah satunya dalam proses pemisahan sampah sesuai kategori logam serta non logam yang memerlukan waktu yang cukup lama untuk melaksanakan prosesnya. Maka dari itu dapat disimpulkan rumusan permasalahan dari penilitian ini, yakni bagaimana membuat sistem yang dapat mempermudah proses pemisahan sampah serta bagaimana membuat sistem yang sanggup bekerja secara efisien serta efektif ditempat pengepul barang bekas. Untuk menanggulangi kasus tersebut maka tujuan dari riset ini dapat membuat Sistem Pendeteksi Sampah Logam Dengan Sampah Non Logam Untuk Pengepul Barang Bekas Dikampung Bekasi Jati memanfaatkan Sensor Proximity induktif serta memakai Prosedur penelitian Prototype. Yang setelah itu bisa disimpulkan hasil dari riset yang sudah dicoba bahwa Sistem Pendeteksi Sampah Logam Dengan Sampah Non Logam ini berjalan sesuai dengan kebutuhan yang terdapat ditempat pengepul sampah
IMPLEMENTASI MENGGUNAKAN PEER CONNECTION QUEUE DAN SIMPLE QUEUE DENGAN NETWORK DEVELOPMENT LIFE CYCLE Wira Hadi Kusuma, Mochamad; Pramudita, Rully
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.10984

Abstract

Politeknik Kelapa Sawit Citra Widya Edukasi merupakan salah satu kampus yang berada di Kota Bekasi yang telah mempunyai koneksi internet. Untuk saat ini koneksi internet yang berada disana hanya menggunakan mekanisme simple queue sebagai manajemen bandwidth. Mekanisme ini sering terjadi masalah dikarenakan pembagian bandwidth tidak merata. Hal ini sering kali terjadi masalah rebutan atau tarik menarik penggunaan traffic bandwidth antar pengguna untuk keperluan browsing maupun upload dan download. Tujuan penelitian ini untuk melakukan pembagian bandwidth secara otomatis dan merata ke setiap pengguna. Metode yang digunakan adalah Peer Connection Queue (PCQ) Dan Simple queue. Dengan menggunakan metode PCQ untuk pembagian bandwidth secara merata kepada setiap pengguna. Sedangkan simple queue untuk memprioritaskan bandwidth setiap pengguna yang dipilih berdasarkan ip address. Berdasarkan penelitian yang telah dilakukan selama penelitian berlangsung, hal ini dibuktikan dengan hasil dari konfigurasi menggunakan PCQ dibuktikan dengan nilai rata-rata kecepatan unduh data yang serupa, yaitu 2.36 Mbps, 2.54 Mbps dan 2.12 Mbps. Menjadikan kecepatan akses yang setara untuk setiap pengguna aktif. Sedangkan hasil dari konfigurasi menggunakan Simple queue mendapatkan bandwidth limit-at yang sudah ditentukan pada setiap user yang diprioritaskan. Dari hasil pengujian tersebut memberikan peningkatan dalam manajemen bandwidth
Model Prediksi Kepadatan Pariwisata Jawa Barat Menggunakan Metode Long Short-Term Memory with Temporal Attention Nadya Safitri; Pramudita, Rully; Muis, Saludin; Shafirawati, Fitri; Anggoro, Muhammad Seno
TEMATIK Vol 11 No 2 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i2.2086

Abstract

This study aims to apply the Long Short-Term Memory Networks (LSTM) with Temporal Attention method in predicting tourism density in West Java tourist destinations. The problem faced is the uncertainty in estimating tourist density at various locations and times, which makes the management of tourism resources and facilities difficult. Therefore, this study is important to provide a tool that can help make more effective decisions in the tourism sector in West Java. The urgency of this study lies in the need for accurate and real-time tourist density predictions to support the management and development of tourist destinations in West Java. With the right prediction model, related parties can regulate capacity, optimize services, and avoid negative impacts such as excess capacity and crowds that have the potential to endanger visitors and the environment. The purpose of this study is to develop a tourism density prediction model that combines the distinctive features of LSTM with a temporal attention mechanism. This model aims to provide accurate and dynamic tourist density estimates, taking into account the temporal patterns of tourist visits in West Java. The model evaluation methods used in this study are RMSE and MAE, and the results of the model testing are that it has an RMSE value of 32208867.139 and an MAE value of 5099.219, and it is hoped that there will be a dataset with a long period after the covid mass where the dataset is free from abnormal events so that a more appropriate model is obtained.
Studi Komparatif Algoritma Machine Learning dengan Teknik Bagging dan AdaBoost pada Klasifikasi Kanker Payudara Pramudita, Rully; Safitri, Nadya; Nazah, Vina Zahrotun
TEMATIK Vol. 12 No. 1 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i1.2435

Abstract

This study aims to evaluate and compare the performance of five Machine Learning classification algorithms—Support Vector Machine (SVM), Neural Network (NN), Logistic Regression (LR), Decision Tree (DT), and K-Nearest Neighbors (KNN)—in detecting breast cancer using the Breast Cancer Wisconsin (Diagnostic) dataset. The evaluation was conducted in stages, beginning with baseline model training, followed by optimization using Bagging ensemble techniques, and further enhanced with the Adaboost algorithm. Model performance was assessed using accuracy, confusion matrix, ROC curve, and Area Under Curve (AUC) metrics. The results show that Logistic Regression demonstrated the most consistent performance, achieving 97.1% accuracy and the highest AUC of 99.7% after Adaboost was applied. Decision Tree also showed noticeable improvement in both accuracy and AUC. In contrast, Neural Network and KNN models were found incompatible with Adaboost. These findings highlight that the effectiveness of ensemble techniques is highly dependent on the nature of the base algorithm. This research contributes to a better understanding of how to select and combine classification algorithms with appropriate optimization strategies to improve the accuracy of breast cancer diagnosis.  
SISTEM MONITORING PENGGUNAAN DAYA LISTRIK BERBASIS INTERNET OF THINGS PADA RUMAH DENGAN MENGGUNAKAN APLIKASI BLYNK Pela, Maria Febrianti; Pramudita, Rully
Infotech: Journal of Technology Information Vol 7, No 1 (2021): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i1.106

Abstract

All work and human needs are highly dependent on the presence of electrical energy, especially on household needs. Human negligence in using electrical energy will cause waste in the use of electrical energy which causes soaring payments among households. This study aims to examine the application of monitoring the electrical power used in the connection of these devices remotely via the internet. The system can be implemented using NodeMCU ESP8266, PZEM-004T sensor, Liquid Crystall I2C, and the Blynk application as a user interface system on a smartphone. To be able to monitor through the Blynk application, the user must be connected to the internet and the microcontroller must be connected to the internet network. This system using the internet network will make it easier to monitor electrical power in electronic devices at home every day. The results of this study are the prototype of the electrical power monitoring system using the Blynk application can help and facilitate homeowners in monitoring electrical power when the homeowner is not at home.
Co-Authors Anggoro, Muhammad Seno Ari Nurul Alfian Ayu Medina Prameswari Chusyairi, Ahmad Didik Setiyadi Endang Retnoningsih Febriyanti Valentina Herwin Simanjuntak Ismail Marzuki Kevin Setyawan Kristiana Widiawati Muhammad Dhedy Dwi Putra Muhammad Rizal Muis, Saludin Nada Aura Wansa Nadya Safitri Nadya Safitri Nadya Safitri Nadya Safitri, Nadya Nazah, Vina Zahrotun Pela, Maria Febrianti Pramana Saoni Aprilian Restu Amalia Novita Rita Wahyuni Arifin Saludin Muis Saludin Saludin Samhana Suryati Subari Shafirawati, Fitri Shilka Dina Anwariya Solikin Solikin Wira Hadi Kusuma, Mochamad Wulan Nabilla, Dwi