Article Per Year (5 Year)
p-Index From 2021 - 2026
5.129
P-Index
This Author published in this journals
All Journal CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Inotera Jurnal Sisfokom (Sistem Informasi dan Komputer) METIK JURNAL Jurnal Eduscience (JES) Jurnal Informasi dan Teknologi Jurnal AbdiMas Nusa Mandiri Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Minfo Polgan (JMP) Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Jurnal Teknologi Terapan and Sains 4.0 Dikdimas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Inovasi Masyarakat Indonesia Jurnal Rekayasa Sistem Informasi dan Teknologi Journal Of Artificial Intelligence And Software Engineering Pengabdian Pendidikan Indonesia (PPI) Jurnal Ilmu Komputer dan Sistem Informasi Portal Riset dan Inovasi Sistem Perangkat Lunak Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS)
Rizki Suwanda
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

Published : 38 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 38 Documents
Search

 1   2   3   4 
APLIKASI BUKU TAMU BERBASIS WEBSITE DI PT. PLN (PERSERO) ULP LHOKSUKON . Zahra, Annisa Afrilia; Suwanda, Rizki
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 2 (2023): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i2.218

Abstract

A guest book is a tool to find out the number or how many guests have come to a place. Problems faced in the process of recording guest books at PT. PLN (Persero) Lhoksukon ULP is a process that is still manual in its recording or data collection, where the user has to fill in guest data in the guest agenda book which results in a lot of waste of material and the risk of losing data, so that it does not run effectively and efficiently. The aim of developing the system that will be developed is to make it easier for users to register guests and print monthly guest data if needed. This website was developed using the PHP and HTML programming languages, Codeigniter as a framework, and MySQL as data storage. The solution applied in developing this application is to use the UML (Unified Modeling Language) system design method. In this process, use case diagrams are used to explain the activities carried out by users, class diagrams to explain the data structure of the system, activity diagrams to describe user interactions with related objects in the system. The result of developing this system is an application called the Website-Based Guest Book Application at PT. PLN (Persero) ULP Lhoksukon. In this application, users can fill in guest data and print guest data in a computerized manner so that it becomes more effective and efficient.
SISTEM INFORMASI PERMINTAAN ALAT TULIS KANTOR BERBASIS WEB PADA PT PERTA ARUN GAS Muna, Ninal; Suwanda , Rizki
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 2 (2023): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i2.234

Abstract

Pembuatan sistem informasi permintaan alat tulis kantor bertujuan untuk mengubah cara pengelolaan atk pada suatu instansi dengan mengurangi penggunaan tanpa kertas pada PT Perta Arun Gas. Dalam penulisan laporan kerja praktek ini penulis melakukan analisa dengan menggunakan studi lapangan dan studi kepustakaan mengenai proses perancangan permintaan alat tulis kantor yang sampai saat ini PT Perta Arun Gas masih belum mempunyai sistem informasi permintaan alat tulis kantor untuk mendata dan mengelola atk. Sehingga dalam jangka waktu yang cukup lama belum ada perubahan dan cenderung kurang dapat mempermudah proses permintaan alat tulis kantor, penulis memutuskan untuk merancang sistem informasi permintaan alat tulis kantor berbasis web yang sangat membantu dalam proses pendataan dan pengelolaan alat tulis kantor. Sistem informasi permintaan alat tulis kantor ini dirancang dengan menggunakan bahasa pemograman PHP, CSS, Xampp digunakan untuk menjalankan web server dan Mysql digunakan untuk pengelolaandatabase.
SISTEM INFORMASI PENGADUAN KERUSAKAN FASILITAS PADA KANTOR SKRETARIAT DAERAH KOTA (SETDAKO) LHOKSEUMAWE Anggara, Aji; Suwanda, Rizki
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 2 (2023): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i2.235

Abstract

Masalah yang dihadapi dalam proses pengaduan kerusakan fasilitas  di Kantor Sekretariat Daerah Kota (SETDAKO) Lhokseumawe adalah proses yang masih bersifat manual dalam pengaduan dan pendataannya, dimana pengguna (Pegawai dan Pihak Administrasi) harus mensurvey langsung dan mendata kerusakan yang masih manual sehingga mengakibatkan banyaknya pemborosan material dan resiko kehilangan data, sehingga tidak berjalan secara efektif dan efesien. Tujuan dari pemgembangan system yang akan dikembangkan adalah untuk mempermudah pengguna (Pegawai dan Pihak Administrasi) dalam proses perbaikan fasilitas dan mendata fasilitas yang rusak dan mencetak laporan fasilitas yang rusak perbulan jika dibutuhkan. Website ini di kembangkan menggunakan Bahasa pemograman PHP dan HTML, Framework, dan MySQL sebagai penyimpanan data. Solusi yang diterapkan dalam pengembangan aplikasi ini adalah dengan menggunakan metode perancangan Sistem UML (Unified Modeling Language). Pada proses ini, digunakan use case diagram untuk menjelaskan aktivitas yang dilakukan oleh pengguna, dan activity diagram untuk menjelaskan alur proses pengaduan kerusakan fasilitas dan pendataan fasilitas yang rusak. Hasil dari  pengembangan sistem ini yang dikembangkan adalah sebuah aplikasi yang disebut Aplikasi Pengaduan Kerusakan Fasilitas Berbasis Website di Kantor Sekretariat Daerah Kota (SETDAKO) Lhokseumawe. . Pada aplikasi ini pengguna dapat mengisi data fasilitas yang rusak dan dilaporkan langsung melalui web dan petugas / pegawai dapat mencetak pendaatan perbulan pada keruskan fasilitas kantor data secara terkomputerisasi sehingga menjadi lebih efektif dan efisien. Kata Kunci : Aplikasi, Pengaduan kerusakan Fasilitas, UML, PHP, MySQL, Framework
Application of the C5.0 Algorithm to Determine the Eligibility of BPJS Contribution Assistance Recipients in the National Health Insurance Program Furqan, Muhammad; Nurdin, Nurdin; Suwanda, Rizki
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.856

Abstract

The National Health Insurance (JKN) is a government program to provide health insurance to all Indonesian citizens. In its implementation, determining the eligibility of premium assistance recipients still faces challenges regarding accuracy and efficiency. This study aims to implement the C5.0 algorithm in classifying the eligibility of JKN premium assistance recipients and measure the accuracy of the resulting classification model. The method used is the C5.0 algorithm with the boosting technique with 10 trials and global pruning, with a 70:30 training and testing data split ratio, minimum cases of 2, and confidence level of 0.2. The research results show that the classification model performs excellently with an accuracy rate of 94.27%, precision of 83.78%, Recall of 90.29%, F1-Score of 86.92%, and AUC of 92.81%. The Specificity, reaching 95.34%, demonstrates the model's reliability in identifying ineligible participants for assistance. With a total algorithm execution time of 0.2224 seconds, these results indicate that the C5.0 algorithm can be implemented as an effective decision support system in determining the eligibility of JKN premium assistance recipients.
Implementation of the First Come First Served Method in a Website-Based Sports Facility Reservation Service System Rangkuti, Irsan Efendi; Taufiq, Taufiq; Suwanda, Rizki
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.859

Abstract

The people of Kotanopan have a high interest in sports such as futsal and badminton, an interesting phenomenon that shows the popularity of these sports and opens up many business opportunities. Most sports facilities for rent still use a conventional system where prospective renters must come directly to the field or call the manager to make a reservation, making it prone to errors in the reservation process. From the management's side, they often encounter obstacles when processing tenant reservations, especially when sorting the schedules that the tenants have created. This research aims to build a sports facility reservation service system using the First Come, First Served (FCFS) method. This method is the most suitable scheduling system for the sports facility reservation system in Kotanopan. The results of the First Come First Served (FCFS) method experiment with a random trial of 5 users, each with execution times of 3, 3, 5, 5, and 9, yielded an average waiting time of 1 minute and an average reservation completion time of 6. With the test results showing that the system can meet the needs and has functions accessible to every system user, it is hoped that this system can facilitate users in making reservations online.
Implementation of the Forward Chaining Method in Identifying Study Programs Based on Students Interests and Talents Raudhatul Fazira; Bustami; Rizki Suwanda
Jurnal Inotera Vol. 10 No. 2 (2025): July - December 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss2.2025.ID481

Abstract

This study aims to develop a decision support system (DSS) based on the Forward Chaining method to assist prospective students in selecting a study program that aligns with their interests, talents, and abilities. The system is designed to analyze 34 facts related to the respondents' interests and talents using predefined Rules, generating program recommendations in the form of rankings based on suitability weights. Testing was conducted with 100 respondents, one of whom, named Najmil Ula, was recommended to choose the Chemical Engineering program with a suitability weight of 2,3 or 26.44%, based on fulfilled facts such as an interest in understand in physics and love doing an experiment. Additionally, the system provided alternative recommendations, such as Informatics Engineering and Arcitecture, with lower suitability levels. These results demonstrate that the system can provide relevant and objective recommendation, making it an effective tool to support prospective students in selecting study programs that match their potential.
Machine Learning to Predict Food Prices in Aceh Province Using the Fuzzy Time Series Method Based on Average Fadillah, Rizky; Ula, Munirul; Suwanda, Rizki
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14649

Abstract

This study aims to develop a food commodity price prediction system based on Fuzzy Time Series (FTS) using average-based methods, with a case study of price data from 2018 to 2023. The system is designed to predict the prices of five main commodities: Super Quality Rice, Fresh Chicken Meat, Fresh Chicken Eggs, Bulk Cooking Oil, and Premium Quality Sugar. The prediction process involves constructing the Universe of Discourse, intervals, and fuzzy logic relations (FLR and FLRG) to model historical price patterns. The results show that this model provides accurate predictions, with the best Mean Absolute Percentage Error (MAPE) value of 0.49% for Super Quality Rice, while MAPE for other commodities ranges from 0.69% to 1.44%. The comparison graph between actual data and prediction results demonstrates consistent pattern alignment, suitable for commodities with both high price fluctuations and stable trends. This system proves effective in projecting future food prices with low error rates, making it a reliable tool to support strategic decision-making in managing food commodity prices during the five-year analysis period.
Comparison of Linear Regression and Polynomial Regression for Predicting Rice Prices in Lhokseumawe City Muhammad Iqbal; Rozzi Kesuma Dinata; Rizki Suwanda
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2396

Abstract

Rice is a strategic food commodity in Indonesia, and its price fluctuations significantly impact inflation, economic stability, and poverty levels. Accurate price prediction is, therefore, essential for effective policymaking. The objective of this research is to develop a system for predicting the price of rice in Lhokseumawe City, employing a comparison of the accuracy of linear and polynomial regression models. To this end, daily price data from the Strategic Food Price Information Center (PIHPS) from 2020 to 2024 were utilized, with both models being implemented in Python. The findings indicate that 4th-order polynomial regression exhibited optimal performance, attaining a mean absolute percentage error (MAPE) of 1.85%, a mean absolute error (MAE) of 205.23, and a root mean squared error (RMSE) of 284.88. Conversely, the implementation of linear regression resulted in substantially elevated error metrics, with a mean absolute percentage error (MAPE) of 5.16%, a mean absolute error (MAE) of 553.91, and a root mean square error (RMSE) of 614.14. The findings indicate that 4th-order polynomial regression is a substantially more effective model for predicting rice prices in Lhokseumawe. The latter's superiority suggests that local rice price dynamics are characterized by significant non-linear patterns, rendering it a more robust tool for capturing data volatility and supporting data-driven policy.
Analysis of Public Sentiment Towards LGBT on Twitter Social Media using Naïve Bayes Method Yudhi Franata; Rizal; Rizki Suwanda
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2400

Abstract

The advancement of information technology and the widespread use of social media have provided a platform for individuals to express their views on various social issues, including those related to Lesbian, Gay, Bisexual, and Transgender (LGBT) topics. This study aims to assess public sentiment towards LGBT issues on Twitter by employing the Naïve Bayes classification algorithm. Relevant tweets were collected through web scraping based on specific LGBT-related keywords within a defined time frame. The collected data underwent several preprocessing stages, including data cleaning, tokenization, stopword removal, and stemming. The processed data were then categorized into three sentiment classes: positive, negative, and neutral. Naïve Bayes was chosen for its effectiveness and efficiency in handling large-scale textual data. The analysis revealed that negative sentiment toward LGBT issues was predominant, although a considerable portion of tweets expressed neutral and positive sentiments. These findings offer valuable insights for policymakers, social activists, and academics in understanding public perception and formulating more effective communication strategies related to LGBT discourse in Indonesia. The classification model achieved an accuracy of 57%, precision of 52%, recall of 100%, and an F1-score of 68%. While the Naïve Bayes approach proved capable in sentiment classification, the model's accuracy could be further enhanced through improved data preparation or the application of more advanced algorithms.
Design of a Web-Based Self-Reporting Information System for Teacher Professional Education Fatih Dwi Laksana; Rizki Suwanda
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13932

Abstract

The manual self-reporting process for students in the Teacher Professional Education (PPG) program leads to delays, data inaccuracies, and administrative complexities. This research focuses on personal information of PPG students, educational history, and assignment documents. Data collection methods included interviews, observations, and document studies. The system development method followed the waterfall approach, involving requirements analysis, system design, implementation using PHP as the primary programming language, testing, and evaluation. The resulting information system leverages web technology and PHP to facilitate self-reporting for PPG students. Key features include online reporting forms, student data management, and handling PPG-related documents. Evaluation results indicate improved efficiency, accuracy, and speed in administrative processes, along with increased student engagement in self-reporting. The conclusion of this research is that the implementation of the web-based PPG Self-Reporting Information System using PHP successfully addresses administrative challenges in the Faculty of Teacher Training and Education. This system contributes positively to data efficiency and accuracy, enhances the quality of academic services, and strengthens administrative transparency. Therefore, the application of web technology and PHP in the PPG Self-Reporting Information System can serve as a model for developing similar systems in other educational institutions.
Co-Authors ., Bustami Absa, Munzir Adek, Rizal Tjut Amanda, Sherly Dwi Ananda, Ria Anggara, Aji Ayu Rosmala, Ayu Rosmala Bayu Winata, Bayu Bustami Bustami Bustami Dahlan Abdullah Dendy K. Pramudito Desi Efendi, Syahril Erna Budhiarti Fadillah, Rizky Fadlisyah Fadlisyah Fanita Fanita, Fanita Fatih Dwi Laksana Haj, Shafly Ulya Halimatus Sakdiah, Halimatus Hamdhana, Defry Husna, Nur Fazri Judijanto, Loso Kamilah, Muna Khardawi, Muhammad Laksana, Fatih Dwi Mardhatillah, Mardhatillah Muchlis Abdul Muthalib Muh Fahrudin Alawi Muhammad Daud Muhammad Fikry Muhammad Furqan, Muhammad Muhammad Iqbal Muhammad Khoiruddin Harahap Muhammad Naufal, Muhammad Muhammad Zakaria Mukti Qamal Muna, Ninal Munirul Ula Munzir Nazaruddin Ahmad Nur Mauliza Nurdin Nurdin Nurul Nafisa Pangestu, Aridho Rangkuti, Irsan Efendi Raudhatul Fazira Rivalzi, Tri Ananda Rizal Rizal Rizal Rizky Putra Fhonna Roslaini, Roslaini Rozi Kesuma Dinata Rozzi Kesuma Dinata Safwandi Safwandi, Safwandi Sagala, Wulandari Shakinahwati Said Fadlan Anshari Said Fadlan Anshari Sartika, Tiara Syahriani Putri Ayu Syibral Malasyi, Syibral Taufiq Taufiq Tri Ramdhany Tulus Setiawan Wardina Ningsih Yudhi Franata Zahra, Annisa Afrilia Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar