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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Journal on Education Jurnal Abdimas Bina Bangsa Prosiding Snastikom Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara Jurnal Manajemen, Pendidikan dan Ilmu Komputer (JMENDIKKOM) Jurnal Pengabdian Kepada Masyarakat Indonesia

Abdi Rahim Damanik

STIKOM Tunas Bangsa

Author-ID : 2379466

Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Prediction of Mortlity Rate in Indonesia due to Covid-19 Using the Naïve Bayes Algorithm Abdi Rahim Damanik; Dedy Hartama; Irfan Sudahri Damanik
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

One of the functions of this research is to obtain the latest information regarding the level of accuracy and death rates due to the Covid-19 pandemic. One of the tasks of planning a response to a pandemic is to access data related to the number of deaths due to Covid-19. The research that the author is carrying out will predict the death rate due to the COVID-19 pandemic in Indonesia. This study collects all data sourced from the website address https://sinta.ristekbrin.go.id/covid/datasets. By using Indonesia's death rate data due to covid-19 from March 2020 to July 2021. The calculation process and prediction workflow will use the Naïve Bayes Algorithm to be able to measure accuracy and predict the death rate due to the coronavirus in 2022. Prediction testing data figures with a total of 20 the area is in the highest class with a death rate of 120,568 cases obtained based on the calculation of the Naive Bayes algorithm, for an accuracy performance of 100% by testing using Rapidminer tools. It is hoped that the results of this prediction can be used by the government to overcome and set plans for good improvements to the community during the coronavirus pandemic.

PENDEKATAN MACHINE LEARNING MENGGUNAKAN ALGORITMA C4.5 BERBASIS PSO DALAM ANALISA PEMAHAMAN PEMROGRAMAN WEBSITE P.P.P.A.N.W Fikrul Ilmi R.H. Zer; B. Herawan Hayadi; Abdi Rahim Damanik
Jurnal Informatika dan Teknik Elektro Terapan (JITET) Vol 10, No 3 (2022)
Publisher : Universitas Lampung

Bahasa Pemrograman merupakan notasi-notasi yang digunakan untuk menulis sebuah program di komputer. Berdasarkan tingkat populernya bahasa pemrograman PHP yang digunakan untuk membuat Website. Matakuliah pemrograman website menjadi tolak ukur mahasiswa dalam membuat website untuk digunakan pembuatan Tugas Akhir. Terdapat beberapa mahasiswa kesulitan dalam memahami pemrograman website yang mengakibatkan banyak mahasiswa yang mengalami kesulitan dalam membuat Tugas Akhir Variabel yang digunakan dalam penelitian ini adalah Kemudahan, Familiar, Cara Ajar Dosen, Spesifikasi Perangkat yang dibutuhkan, dan Bentuk Pemrograman. Tujuan dalan penelitian ini adalah untuk melakukan mengklasifikasi pemahaman mahasiswa terhadap pemrograman website menggunakan metode C4.5 berbasis PSO dengan data sebanyak 100 sampel di AMIK Tunas Bangsa Pematangsiantar. Penelitian ini menghasilkan nilai akurasi data sebesar 83,00% dengan variabel Kemudahan merupakan node tertinggi. Dengan hasil penelitian ini dapat memberikan keputusan yang akan diambil oleh pihak AMIK Tunas Bangsa mengatasi permasalahan tersebut.

PELATIHAN IMPLEMENTASI PROGRAMMING WEB MENGGUNAKAN BOOTSTRAP PADA SMK TELADAN PEMATANG SIANTAR Abdi Rahim Damanik; Widodo Saputra; Dedy Hartama; Indra Gunawan; Surya Darma; Fahmi Firzada
Jurnal Abdimas Bina Bangsa Vol. 3 No. 2 (2022): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v3i2.233

Mastery of Information and Communication Technology needs to be taught at all levels so that processes and activities can be carried out more quickly, easily and efficiently. Class XI students of SMK Teladan Pematang Siantar are required to have competencies that can be mastered before leaving school in the field of website programming. One of the competencies is being able to create websites or web-based applications using CSS and bootstrap. The purpose of this Community Service Activity is to provide training in developing mastery of website programming as interactive learning for Teachers of Exemplary SMK Pematang Siantar. The devotional method used includes lectures, question and answer, discussion and practice. The steps for the Community Service program are 1) Compiling and developing training materials, 2) Training Stage, 3) The practical assistance stage in the process of making website programming implementations using css and bootstrap. Community Service shows that the training that has been carried out on activities can improve students' abilities to develop knowledge in the process of implementing website programming using bootstrap

Jaringan Saraf Tiruan Memprediksi Tingkat Penjualan Smartphone Di Wijaya Cell Pematangsiantar Menggunakan Metode Backpropagation Syahrial Azmi Pohan; M. Safii; Sundari Retno Andani; Muhammad Rafai; Abdi Rahim Damanik
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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

This study aims to optimize profits and minimize losses from smartphone sales at Wijaya Cell stores that have been achieved in the future. The data used in this study were obtained directly from the Wijaya Cell store by conducting observations and interviews. The Wijaya Cell store is a communication technology that sells smartphones to be marketed to the public. The data that will be processed from the sale of the Wijaya Cell smartphone uses the Backprogation method which is an Artificial Neural Network. The data used is annual smartphone sales data from 2018-2021. From the results of research with training data experiments, it was found that the best architecture was 3-8-1 with 92% accuracy, MSE training was 0.0099974. It is concluded that the Backprogation method can be implemented in predicting smartphone sales results. By doing this research, it is hoped that it can provide input to the Wijaya Cell Shop in optimizing profits and minimizing losses from smartphone sales in the future

Peran Pendidikan dan Pelatihan Manajemen Keuangan dalam Meningkatkan Kapabilitas Karyawan Bank BCA Pematangsiantar Zulia Almaida Siregar; Roger Susilo Napitupulu; Dimas Prayogi; P.A.M. Zidane R.W.P.P. Zer; Michael Kevin Artado Sihombing; Abdi Rahim Damanik
Journal on Education Vol 7 No 1 (2024): Journal on Education: Volume 7 Nomor 1 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i1.6950

This study aims to analyze the role of financial management education and training in enhancing the capabilities of employees at Bank BCA Pematangsiantar. Education and training are crucial components in human resource development, which not only increase knowledge and skills but also strengthen employees' competencies in managing complex financial tasks. This study employs a quantitative approach using a survey method to collect data from employees at Bank BCA Pematangsiantar. The data are analyzed using descriptive and inferential statistical techniques to measure the impact of education and training on employee capabilities.The results of the study show that financial management education and training programs have a significant impact on improving employee capabilities. Employees who participated in these programs demonstrated improvements in financial analysis, risk management, and better financial decision-making. Additionally, the training also enhanced employees' confidence in performing their daily tasks.This study concludes that investing in financial management education and training is an effective strategy to enhance employee capabilities and, ultimately, the overall performance of Bank BCA Pematangsiantar. Recommendations are given to the bank management to continue supporting and developing relevant education and training programs, as well as creating a work environment that fosters continuous learning.

Efektivitas Model Pembelajaran Project Based Learning dalam Pengembangan Kompetensi Manajemen Sumber Daya Manusia di STIKOM Tunas Bangsa Zulia Almaida Siregar; Dedi Suhendro; Rizki Alfadillah Nasution; Abdi Rahim Damanik
Journal on Education Vol 7 No 2 (2025): Journal on Education: Volume 7 Nomor 2 Tahun 2025 In Progress (Januari-Februari 2
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i2.7842

This study aims to measure the effectiveness of the Project Based Learning (PBL) model in developing human resource management (HRM) competencies. The research method used was experimental with a pretest-posttest control group design. The research sample consisted of two groups of students: the experimental group that used the PBL model and the control group that used conventional methods. Data were collected through competency tests, observation sheets, and questionnaires. The results showed that the experimental group experienced a more significant increase in average scores from pretest to posttest compared to the control group. Additionally, observations revealed that the level of student engagement in PBL-based learning was higher than in conventional methods. Questionnaire analysis revealed that 85% of students responded positively to PBL, considering it more relevant to the professional world and capable of enhancing critical thinking and collaboration skills. In conclusion, the PBL model proved effective in improving HRM competencies, both in terms of conceptual understanding and practical skills. It is recommended that this model be more widely integrated into learning to support the development of competent and job-ready graduates.

Pelatihan Peningkatan Kompetensi Programming Berbasis Desktop Menggunakan Software Visual Studio Net Pada SMK Swasta Islam Proyek UISU Siantar Abdi Rahim Damanik; Zulia Almaida Siregar; Susiani Susiani; Indra Gunawan
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 3 No. 1 (2023): April : Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v3i1.1393

Technology in this era is growing rapidly, especially in the field of computers and technology. Where we can see that these developments can facilitate the work of humans or employees and employees. In the education sector, computer science is needed so that teachers can easily provide up-to-date material and are not left behind in today's very rapid technological developments. For this reason, training on programming-based computer science is needed. Many teachers or employees in their understanding of knowing computers are only limited to Ms. Because of that, Office is often used in daily activities. In computer science, there are actually many applications/programs that can make work easier. For this reason, this training was created to introduce one of the application programs in computer science, namely the Visual Studio Net application and the PHPMyAdmin Database. In the training activities carried out at the UISU Siantar Project Islamic Private Vocational School to build a desktop-based information system development process or an application embedded in a computer. Application designed with offline software that has been prepared by the school

Pengelompokkan Tingkat Stres Remaja Terhadap Jam Tidur dan Aktivitas Media Sosial Menggunakan Metode K-Means Ivana Naomi Simanjuntak; Abdi Rahim Damanik
Jurnal Manajemen, Pendidikan Dan Ilmu Komputer Vol. 3 No. 1 (2026): Volume 3 No 1 Januari 2026
Publisher : Yayasan Darus Soleh Parung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65309/swwfry21

Penelitian ini bertujuan untuk mengelompokkan tingkat stres remaja berdasarkan durasi tidur dan aktivitas media sosial menggunakan metode K-Means Clustering. Data diperoleh dari dataset “Mental Health Analysis among Teenagers” yang tersedia secara publik di Kaggle. Sebelum proses klasterisasi, data melalui tahap pra-pemrosesan berupa pembersihan data dan normalisasi menggunakan metode Min-Max Scaling. Pemilihan jumlah klaster optimal dilakukan menggunakan metode Elbow, yang menunjukkan bahwa tiga klaster merupakan jumlah yang paling representatif. Klastering dilakukan berdasarkan dua variabel, yaitu jam tidur dan durasi penggunaan media sosial, dan hasilnya divisualisasikan dalam bentuk scatter plot dua dimensi. Implementasi dilakukan menggunakan Python dan evaluasi model dilakukan melalui visualisasi dan analisis karakteristik masing-masing klaster. Hasil menunjukkan bahwa remaja dengan jam tidur cukup dan aktivitas media sosial rendah cenderung memiliki tingkat stres yang lebih rendah, sedangkan penggunaan media sosial yang tinggi atau jam tidur yang pendek berkorelasi dengan stres sedang hingga tinggi. Penelitian ini membuktikan bahwa kombinasi perilaku harian seperti tidur dan penggunaan media digital dapat digunakan untuk memetakan risiko stres remaja secara efektif melalui pendekatan unsupervised learning.

Pemetaan Zona Risiko Stunting Menggunakan Algoritma K-Medoids Berbasis Mobile Pada Wilayah Pematangsiantar Sophia Salsabila; Uci Julya Ningsih; Dewi Santika; Isniar Yaskinah Hutapea; Syalommitha Situmorang; Abdi Rahim Damanik
Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara Vol. 4 No. 1 (2026): Volume 4 No 1 Tahun 2026
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.260396/jb72mw95

Stunting merupakan salah satu permasalahan kesehatan yang masih menjadi tantangan di Kota Pematangsiantar, terutama karena proses identifikasi wilayah berisiko masih dilakukan secara manual sehingga analisis data menjadi kurang efektif. Penelitian ini bertujuan untuk mengembangkan aplikasi pemetaan zona risiko stunting berbasis mobile dengan menerapkan algoritma K-Medoids guna mengelompokkan data balita berdasarkan kemiripan karakteristik pertumbuhan. Data yang digunakan meliputi tinggi badan, berat badan, usia, serta indikator lingkungan yang relevan. Proses penelitian meliputi pengumpulan data, perancangan sistem menggunakan UML, implementasi algoritma K-Medoids pada aplikasi Android dengan bahasa pemrograman Java, serta evaluasi fungsionalitas sistem. Hasil penelitian menunjukkan bahwa metode K-Medoids mampu membentuk klaster risiko stunting yang representatif dan stabil, terdiri dari kategori Tidak Risiko, Risiko Rendah, Risiko Tinggi, dan Darurat Stunting. Aplikasi mobile yang dikembangkan juga berhasil menampilkan hasil analisis dan visualisasi peta risiko secara interaktif, sehingga dapat membantu tenaga kesehatan dalam memonitor dan menentukan prioritas intervensi secara lebih cepat dan akurat. Sistem ini diharapkan dapat menjadi pendukung keputusan dalam upaya pencegahan dan penanganan stunting di wilayah Pematangsiantar.

Aplikasi Prediksi Kepadatan Penduduk Menggunakan Decision Tree Anis Dwi Rizky; Abdi Rahim Damanik; Muhammad Deri Andriansyah Situmorang; Ahmad Farhan Lumbangaol; Audyananda; Hotmaida Asima Verawati Simorangkir
Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara Vol. 4 No. 1 (2026): Volume 4 No 1 Tahun 2026
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.260396/7aygeq97

The continuous increase in population growth requires an analytical system capable of providing predictive information to support regional development planning. This study aims to develop a population density prediction application using the Decision Tree algorithm by utilizing official population data from the Central Statistics Agency (BPS) covering population and area. The research process is carried out through several stages, namely problem identification, data collection, system design, model implementation, and application evaluation. The Decision Tree algorithm was chosen because it is able to provide a decision tree structure that is easy to interpret and effective for tabular data-based classification. Attribute separation measurements were carried out using the Gini Index, Entropy, and Information Gain to determine the best attribute to form a node. The analysis results show that the population attribute is the most influential variable in determining the density category, with the highest Information Gain of 1.5269. The model produces clear classification rules, such as low density categories for areas with a population of less than 3 million, medium for 3–10 million, and high for more than 10 million people. The application evaluation shows that the system is able to run stably and provides accurate prediction results according to the data pattern. The application developed is expected to assist local governments in monitoring and anticipating changes in population density as a basis for data-driven planning.

Co-Authors Ahmad Farhan Lumbangaol Akmal Ardiansyah Batubara Anis Dwi Rizky Audyananda B. Herawan Hayadi Dedi Suhendro Dedy Hartama Dewi Santika Dimas Prayogi Fahmi Firzada H.R Merdu Wira Jasa Hari Priandana Hotmaida Asima Verawati Simorangkir Indra Gunawan Irfan Sudahri Damanik Isniar Yaskinah Hutapea Ivana Naomi Simanjuntak M. Safii Michael Kevin Artado Sihombing Muhammad Deri Andriansyah Situmorang Muhammad Rafai Muhammad Taufik Nurhidayat Nasution, Rizki Alfadillah P.A.M. Zidane R.W.P.P. Zer P.P.P.A.N.W Fikrul Ilmi R.H. Zer Roger Susilo Napitupulu Silvia Hani Sophia Salsabila Sundari Retno Andani Surya Darma Susiani Susiani Syahrial Azmi Pohan Syalommitha Situmorang Uci Julya Ningsih Widodo Saputra Yuda Nathanael Simangunsong Zahra Chaizura Zulia Almaida Siregar

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