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All Journal CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab 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) ITEJ (Information Technology Engineering Journals) Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Rizki Suwanda
Universitas Malikussaleh, Aceh, Indonesia
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

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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.
Implementasi Sistem Irigasi Berbasis Internet of Things (IoT) Untuk Optimasi Penggunaan Air Pada Pertanian Haj, Shafly Ulya; Adek, Rizal Tjut; Suwanda, Rizki
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 2 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/sqe99d72

Abstract

Traditional irrigation systems in Indonesia's agricultural sector still face obstacles in water use efficiency. This research aims to develop an Internet of things (IoT)-based automatic irrigation system capable of monitoring and controlling soil moisture and water level in real-time. The system is designed using an ESP32 microcontroller, two soil moisture sensors, and one ultrasonic sensor integrated with a servo motor actuator. Rule-based control logic is applied, where the sluice gates open when the moisture is < 50% and the water level is > 25 cm, and close again when the opposite condition occurs. The prototype was tested on two simulated paddy fields with glass aquarium media for three days and five recording cycles. Data was sent to the server and displayed via a web interface for remote monitoring and control. The test results show that the system is able to work responsively, with an average response time of 1.8 seconds, and can increase water use efficiency by 30%. The graph visualisation and manual-automatic control features provide ease of system management. The application of this system shows great potential in supporting the implementation of efficient, scalable, and sustainable precision agriculture.
Peningkatan Kompetensi Digital Guru Melalui Pelatihan Pengembangan Media Pembelajaran Berbasis Virtual Reality Setiawan, Tulus; Munzir; Sakdiah, Halimatus; Suwanda, Rizki; Fanita; Amanda, Sherly Dwi; Absa, Munzir
Jurnal Pengabdian Inovasi Masyarakat Indonesia Vol. 4 No. 2b (2025): Edisi khusus Dies Natalis Universitas Mataram
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/mf28y051

Abstract

Transformasi digital di sekolah merupakan hal yang penting untuk menyiapkan pendidik serta peserta didik untuk menghadapi peradaban 5.0 kedepan. Untuk itu, diperlukan kegiatan pendampingan dan pelatihan yang terfokus untuk membekali para guru dengan keterampilan yang praktis dalam dunia digital. Kegiatan pengabdian ini dirancang secara spesifik untuk memperkenalkan potensi Virtual Reality (VR) dan memberikan pelatihan langsung dalam menggunakan aplikasi MilleaLab. Tujuannya adalah untuk mendemistifikasi teknologi VR dan memberdayakan para guru agar mampu berinovasi, sehingga mereka dapat secara mandiri menciptakan pengalaman belajar yang imersif, relevan, dan berdampak tinggi bagi peserta didik di era digital. Tahapan kegiatan dimulai dari perencanaan, pelaksanaan kegiatan pengabdian, hingga evaluasi akhir. Subjek yang menjadi peserta dari kegiatan pengabdian ini adalah para guru di SMPN 7 Sawang, Aceh Utara. Setelah mengikuti pelatihan, para peserta mengisi angket untuk mengevaluasi pelaksanaan dan dampak dari pelatihan. Setelah dilakukan pelatihan dan pendampingan/mentoring, angket yang diberikan menghasilkan nilai yang sangat baik untuk kriteria pelaksanaan dan dampak, yaitu sebesar 4,48 dan 4,26. Dengan demikian, kegiatan ini mampu meningkatkan kompetensi peserta dalam mengintegrasikan teknologi secara kreatif dan efektif, sehingga diharapkan dapat mendukung terciptanya proses pembelajaran yang lebih inovatif, kolaboratif, dan sesuai dengan tuntutan era digital.
Co-Authors ., Bustami Absa, Munzir Adek, Rizal Tjut Amanda, Sherly Dwi Ananda, Ria Anggara, Aji Armelia Dafrina Ayu Rosmala, Ayu Rosmala Ayu Suningsih Bayu Winata, Bayu Bustami Bustami . Bustami Bustami Dahlan Abdullah Dendy K. Pramudito Desi Efendi, Syahril Erna Budhiarti Eva Darnila Fadillah, Rizky Fadlisyah Fadlisyah Fanita Fanita, Fanita Fatia Naura Fatih Dwi Laksana Haj, Shafly Ulya Halimatus Sakdiah, Halimatus Hamdhana, Defry Judijanto, Loso Kamilah, Muna Laksana, Fatih Dwi Mardhatillah, Mardhatillah Maryana Maryana Muchlis Abdul Muthalib Muh Fahrudin Alawi Muhammad Daud Muhammad Fikry Muhammad Furqan, Muhammad Muhammad Iqbal Muhammad Khardawi Muhammad Khoiruddin Harahap Muhammad Naufal Muhammad Zakaria Muhammad Zikri Mukti Qamal Muna, Ninal Munirul Ula Munzir Nazaruddin Ahmad Nur Fazri Husna Nur Mauliza Nurdin Nurdin Nurul Nafisa Pangestu, Aridho Rangkuti, Irsan Efendi Raudhatul Fazira Rini Meiyanti Rivalzi, Tri Ananda Rizal Rizal Rizal Rizal S.Si., M.IT, Rizal Rizky Putra Fhonna Roslaini Roslaini Rozi Kesuma Dinata Rozzi Kesuma Dinata Safwandi Safwandi Safwandi Safwandi, Safwandi Sagala, Wulandari Shakinahwati Said Fadlan Anshari Said Fadlan Anshari Siti Nadilla Sutri Wandani Syahriani Putri Ayu Syibral Malasyi, Syibral Taufiq Taufiq Teguh Brahmana Tiara Sartika Tri Ananda Rivalzi Tri Ramdhany Tulus Setiawan Wardina Ningsih Yudhi Franata Zahra, Annisa Afrilia Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar