Article Per Year (5 Year)
p-Index From 2021 - 2026
1.405
P-Index
This Author published in this journals
All Journal Indonesian Journal Of Civil Engineering Education REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Frontiers Academia Open JOINTER : Journal of Informatics Engineering Indonesian Journal of Innovation Studies
Moningkey, Efraim Ronald Stefanus
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
KOMPUTASI PARALEL MENGGUNAKAN NVIDIA CUDA UNTUK PEMODELAN 2D TSUNAMI ACEH DENGAN METODE LATTICE BOLTZMANN Moningkey, Efraim Ronald Stefanus; Pardanus, Rudi H W
FRONTIERS: JURNAL SAINS DAN TEKNOLOGI Vol 1, No 2 (2018): Agustus 2018
Publisher : Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1247.894 KB)

Abstract

Tsunami merupakan kejadian alam yang terjadi ketika adanya aktifitas di dasar laut dan sangat berbahaya, karena dapat mengakibatkan kerusakan yang besar. Mengingat bahaya tsunami maka dalam penelitian ini dibuat sebuah perancangan pemodelan menggunakan paralelel computing untuk memodelkan tsunami yang terjadi di Aceh, menggunakan NVdia CUDA dan menggunakan metode lattice Boltzmann D2Q9. Pemodelan ini diharapkan dapat membantu untuk mengetahui arah perambatan gelombang tsunami, dan daerah pesisir yang akan terkena dampakKeywords: Tsunami, Parallel computing, Lattice Boltzmann, NVidia Cuda
LEARNING MANAGEMENT SYSTEM UNTUK MENINGKATKAN KEMAMPUAN TEKNOLOGI INFORMASI DAN KOMUNIKASI di ERA REVOLUSI INDUSTRI 4.0 Efraim Ronald Stefanus Moningkey; Mochamad Bruri Triyono; Priyanto Priyanto
Indonesian Journal Of Civil Engineering Education Vol 8, No 1 (2022): Indonesian Journal of Civil Engineering Education
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijcee.v8i1.64181

Abstract

Tujuan dari penelitian ini yaitu mengembangakan aplikasi pembelajaran Learning management system berbasis android untuk digunakan mempelajari kemampuan TIK bagi masyarakat yang dapat diakses gratis. Penelitian ini merupakan penelitian pengembangan. Subjek penelitian ini adalah masyarakat yang memiliki smartphone android dan ingin mengetahui atau mempelajari kemampuan TIK dalam bidang jaringan computer, rekayasa perangkat lunak, dan multimedia. Teknik pengembangan menggunakan pengembangan aplikasi android berbasis web. Metode pengembangan system menggunakan metode prototype yang memudahkan interaksi antara pengembang dengan pengguna dan dapat dilakukan dengan cepat. Hasil penelitian adalah aplikasi LMS berbasis android yang dapat digunakan dengan gratis dan diakses dimana saja, kapan saja selama ada koneksi internet.
Learning Management System untuk Meningkatkan Kemampuan Teknologi Informasi dan Komunikasi di Era Revolusi Industri 4.0 Efraim Ronald Stefanus Moningkey; Mochamad Bruri Triyono; Priyanto Priyanto
Indonesian Journal Of Civil Engineering Education Vol 8, No 1 (2022): Indonesian Journal of Civil Engineering Education
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijcee.v8i1.68036

Abstract

Abstrak: Tujuan dari penelitian ini yaitu mengembangakan aplikasi pembelajaran Learning management system berbasis android untuk digunakan mempelajari kemampuan TIK bagi masyarakat yang dapat diakses gratis. Penelitian ini merupakan penelitian pengembangan. Subjek penelitian ini adalah masyarakat yang memiliki smartphone android dan ingin mengetahui atau mempelajari kemampuan TIK dalam bidang jaringan computer, rekayasa perangkat lunak, dan multimedia. Teknik pengembangan menggunakan pengembangan aplikasi android berbasis web. Metode pengembangan system menggunakan metode prototype yang memudahkan interaksi antara pengembang dengan pengguna dan dapat dilakukan dengan cepat. Hasil penelitian adalah aplikasi LMS berbasis android yang dapat digunakan dengan gratis dan diakses dimana saja, kapan saja selama ada koneksi internet. Abstract: The purpose of this research is to develop a learning application for an Android-based learning management system to be used to learn ICT skills for the community that can be accessed for free. This research is a development research. The subjects of this research are people who have android smartphones and want to know or learn ICT skills in the fields of computer networks, software engineering, and multimedia. The development technique uses android web-based application development. The system development method uses a prototype method that facilitates interaction between developers and users and can be done quickly. The result of the research is an Android-based LMS application that can be used for free and can be accessed anywhere, anytime as long as there is an internet connection. 
Penerapan Algoritma Naive Bayes pada Arsip Surat Kantor Kecamatan Motoling Barat Gerung, Frendy Rikal; Maramis, Glenn Paulus; Moningkey, Efraim Ronald Stefanus
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 2 (2025): Volume 9 Nomor 2 April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i2.14786

Abstract

Transformasi digital dalam pengelolaan arsip menjadi kebutuhan di instansi pemerintahan, termasuk Kantor Kecamatan Motoling Barat, akibat keterbatasan sistem manual yang berisiko terhadap efisiensi, akurasi, dan kepatuhan terhadap regulasi. Tujuan penelitian ini adalah untuk membuat sistem klasifikasi surat masuk yang menggunakan teknik text mining yang berbasis pada algoritma Naïve Bayes untuk otomatisasi proses pengarsipan. Metodologi pengembangan sistem menggunakan kerangka kerja Extreme Programming (XP), dengan penerapan teknologi React JS untuk antarmuka pengguna, Django sebagai backend, dan MySQL untuk manajemen basis data. Model klasifikasi dilatih dengan 219 data surat masuk yang telah melalui tahap preprocessing dan tokenisasi menggunakan TF-IDF. Dari rangkaian pengujian yang dilakukan, model berhasil mencatat akurasi sebesar 74,4%, meski terlihat fluktuasi nilai presisi dan recall pada tiap kategori surat. Kategori 'Surat Keputusan' menunjukkan presisi tinggi namun recall rendah, sedangkan 'Surat Edaran' memiliki presisi terendah. Selain itu, pengujian sistem secara keseluruhan melalui metode black-box membuktikan bahwa seluruh fitur utama seperti login, manajemen surat, klasifikasi otomatis, dan pengelolaan pengguna berfungsi dengan baik. Sistem yang dikembangkan dinilai responsif, mudah digunakan, dan mampu meningkatkan efisiensi pengelolaan arsip. Temuan ini menunjukkan bahwa penerapan algoritma Naïve Bayes dalam sistem informasi arsip digital memiliki potensi besar dalam mendukung reformasi birokrasi dan transformasi digital di sektor publik. Ke depan, pengembangan lebih lanjut disarankan dengan perluasan dataset dan eksplorasi metode klasifikasi lain seperti SVM atau ensemble learning.
Web-Based Public Complaint System Using First In First Out Algorithm in Minahasa Regency: Sistem Pengaduan Masyarakat Berbasis Web dengan Algoritma First In First Out di Kabupaten Minahasa Moningkey, Efraim Ronald Stefanus; Ropa, Sifra; Kenap, Audy A.
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1746

Abstract

Background: Efficient and transparent complaint management is a key component of improving public services in local governments. Specific Background: At the Minahasa Regency Investment and One-Stop Integrated Services Office, complaint handling has been performed manually, leading to slow responses, lack of transparency, and administrative inefficiencies. Knowledge Gap: Previous studies have focused on web-based complaint platforms but have not addressed simple and fair queuing mechanisms to manage incoming reports. Aim: This study aims to design and implement a web-based complaint management system that applies the First In First Out algorithm to structure the handling of public complaints. Results: The developed system successfully organized complaints according to arrival order, reduced response time from three–five days to one–two days, improved administrative workflows, and provided real-time monitoring for users and administrators. Novelty: Unlike prior approaches that used priority or round robin scheduling, this study integrates First In First Out to ensure fairness and clarity in processing sequences, proven through real implementation. Implications: The system contributes to digital governance by strengthening transparency, accountability, and efficiency in local public service management. Highlight First In First Out algorithm ensures fair and structured complaint handling. System reduces response time and improves administrative efficiency. Real-time monitoring builds public trust and supports digital governance. KeywordFirst In First Out Algorithm, Web-Based System, Online Complaint System, Public Service, Minahasa Regency
Support Vector Machine Algorithm for Classifying Public Satisfaction Index: Algoritma Mesin Vektor Dukungan untuk Klasifikasi Indeks Kepuasan Publik Moningkey, Efraim Ronald Stefanus; Harisondak, Della Deviani; Santa, Kristofel
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.12697

Abstract

General Background: Evaluating public satisfaction with government services is vital to ensuring transparency and continuous improvement in public administration. Specific Background: At the Investment and One-Stop Integrated Services Office (DPMPTSP) of Minahasa Regency, satisfaction assessment has been limited by manual data processing and a lack of integrated systems, leading to inefficiencies in monitoring and classification. Knowledge Gap: Existing approaches to measuring the Public Satisfaction Index (IKM) have not effectively utilized machine learning to automate classification and provide real-time recommendations. Aims: This study aims to implement the Support Vector Machine (SVM) algorithm to classify public satisfaction levels and support service evaluation at DPMPTSP Minahasa. Results: Using 182 testing datasets, the system successfully categorized satisfaction into four levels—very satisfied, satisfied, less satisfied, and dissatisfied—with the majority of respondents classified as satisfied. The developed web-based system also provided actionable recommendations for each satisfaction level. Novelty: This study presents an integrated and automated framework that applies SVM to the public service domain, enabling efficient, accurate, and real-time evaluation. Implications: The findings demonstrate that machine learning can enhance public service management by facilitating data-driven decision-making and promoting service quality improvements. Highlight : The SVM algorithm effectively classifies public satisfaction levels into four categories. The web-based system improves efficiency and accuracy in service evaluation. Recommendations from the system support continuous service quality improvement. Keywords : Public Satisfaction Index, Support Vector Machine, Classification, Service Quality, DPMPTSP Minahasa
Aplikasi Permainan 2D Perang Tondano Berbasis Role Playing Game (RPG) Tular, Feonri; Moningkey, Efraim Ronald Stefanus; Santa, Kristofel
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.357

Abstract

This research aims to develop a Role-Playing Game (RPG) that highlights the history of the Tondano War to enhance the understanding of young generations. The Game Development Life-Cycle (GDLC) method was employed, consisting of five stages: initiation, pre-production, production, testing, and release. Data collection involved literature review and observation, with the game tested through blackbox testing on Android and Windows platforms. The results show that the game successfully introduces the history of the Tondano War through interactive narratives presented in chapters of varying difficulty. The game also allows players to strategize in turn-based combat. In conclusion, this game is effective as an educational medium that enriches historical knowledge and offers an engaging experience for young players.
Polynomial Regression Budget Prediction for Minahasa Fire Department: Prediksi Anggaran Dinas Pemadam Kebakaran Kabupaten Minahasa Sondakh, Inggried Rillya; Santa, Kristofel; Moningkey, Efraim Ronald Stefanus
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1861

Abstract

General Background: Public sector budget planning requires data-driven approaches to support service sustainability, particularly for emergency institutions such as regional fire departments. Specific Background: The Minahasa Regency Fire Department budget planning has relied on historical allocations that exhibit fluctuating and non-linear trends across expenditure categories. Knowledge Gap: Previous planning practices have not fully utilized non-linear statistical modeling to interpret historical budget dynamics and medium-term projections. Aims: This study aims to analyze historical budget trends and predict expenditure needs for the 2025–2027 period using a second-order polynomial regression model. Results: Using budget data from 2019–2024, the model successfully captured non-linear expenditure patterns, including a sharp increase in personnel and capital expenditures in 2024, with coefficients of determination of 0.448 for personnel expenditures and 0.409 for capital expenditures, while total projected expenditures approach IDR six billion by 2027. Novelty: This research integrates second-order polynomial regression with an interactive Streamlit-based application for visualizing and interpreting public sector budget projections. Implications: The findings provide an analytical basis for local governments to anticipate medium-term budget requirements, prioritize expenditures, and strengthen data-based financial planning for fire service operations. Highlights • Second-order polynomial modeling captures non-linear expenditure patterns across budget categories• Historical personnel expenditure spikes shape medium-term fiscal projections• Streamlit-based visualization supports data-driven public budget planning Keywords Polynomial Regression; Budget Prediction; Fire Department; Historical Data; Streamlit Application
Genetic Algorithm-Based Web Scheduler Enhances Fairness in Duty Allocation: Aplikasi Penjadwalan Berbasis Algoritma Genetika untuk Meningkatkan Keadilan Distribusi Piket Onibala, Rahellea Joiby; Kumajas, Sondy Campvid; Moningkey, Efraim Ronald Stefanus
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1863

Abstract

This study aims to design and build a website-based application for scheduling fire and rescue personnel on duty at the Minahasa Regency Fire Department by implementing genetic algorithms. The main problem encountered is the manual scheduling process, which causes imbalances in schedule distribution, delays in information, and difficulties in adjusting when personnel changes occur. The system was developed using the Rapid Application Development (RAD) method thorugh the stages of needs identification, design, implementation, and testing. Genetic algorithms are used as an optimization mehod to produce a fair, efficient, and conflict free schedule. The system also provides a permit submission mechanism and automatic notifications to support officer communication and coordination. The results of User Acceptance Testing (UAT) showed an average score of 4.5 (versy good category), indicating that the system is easy to use and meets operational needs. Thus, this application contributes to improving the efficiency, accuracy, and transparency of the on-duty scheduling process at the Minahasa Regency Fire Department. HIGHLIGHTS • Ensures fair and conflict-free duty schedules using genetic algorithm optimization.• Improves communication and coordination with automated permit and notification features.• Achieves high usability with 4.5 UAT score, supporting operational readiness. KEYWORDS Genetic Algorithm; Scheduling System; Firefighters; Web-Based Application; Optimization
Co-Authors Gerung, Frendy Rikal Harisondak, Della Deviani Kenap, Audy A. Kristofel Santa Kumajas, Sondy Campvid Maramis, Glenn D. P. Mochamad Bruri Triyono Onibala, Rahellea Joiby Pardanus, Rudi H W Priyanto Priyanto Priyanto Priyanto Ropa, Sifra Sondakh, Inggried Rillya Tular, Feonri