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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 JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) 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 Bulletin of Network Engineer and Informatics (BUFNETS) 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 Jurnal Polimesin 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 Automotive Engineering 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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Penerapan Internet Of Things dan You Only Look One Pada Sistem Keran Air Wudhu Pintar Sebagai Edukasi Siswa Laksana, Fatih Dwi; Fitri, Zahratul; Suwanda, Rizki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2490

Abstract

This study aims to develop a smart wudhu water tap system based on the Internet of Things (IoT) as an interactive educational medium for students. The system is equipped with object detection sensors, voice guidance, and the YOLOv8 algorithm to detect and classify wudu movements in real-time. Accuracy evaluation was performed using the Fuzzy Takagi-Sugeno-Kang (TSK) method, which categorizes the results into three levels: “Low,” “Medium,” and “High.” Test results show excellent detection performance, with an average mAP50 value of 0.993, mAP50-90 of 0.746, recall of 0.998, and defuzzification results in the “High” category. This system is effective in providing educational feedback and supporting technology-based wudhu learning. In the future, this system has the potential to be implemented in schools on a larger scale and developed to improve its accuracy and functionality.
The Implementation of Support Vector Machine to Analyze Compliance of Land and Building Taxpayers Nurul Nafisa; Rozi Kesuma Dinata; Rizki Suwanda
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

Land and Building Tax (LBT) is an important source of revenue for local governments, supporting development and community welfare. However, low taxpayer compliance rates often pose a challenge in achieving the targets for Local Own-Source Revenue (LOSR). This study aims to develop a data-driven classification system to map areas with varying levels of LBT taxpayer compliance in Lhokseumawe City and to implement the Support Vector Machine (SVM) method to improve the accuracy of predicting taxpayer compliance. The research data was obtained from the Regional Financial Management Agency (RFMA) of Lhokseumawe City, encompassing LBT data from 2021 to 2023, with variables such as principal amount, penalties, total payments, due dates, and payment dates. This classification system divides taxpayers into two categories: Compliant and Non-Compliant. The results of testing the SVM model indicate that Banda Sakti sub-district has a compliance rate of 98%, Muara Satu has a compliance rate of 99%, Muara Dua has a compliance rate of 99%, and Blang Mangat has a compliance rate of 100%. The accuracy metrics from the implementation of the Support Vector Machine method for assessing land and building tax compliance show a Precision of 86%, a Recall of 100%, and an Accuracy of 86%. By applying the SVM method, it is hoped that there will be an increase in efficiency in the tax collection and management processes, thereby optimally increasing Local Own-Source Revenue (LOSR) and supporting better regional development.
Implementation of the Naïve Bayes Method in a Web-Based Fish Species Classification System Rizki Suwanda; Muhammad Fikry; Said Fadlan Anshari
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

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Abstract

The current fish resources are abundant, and the discovery of new species has increased the variety of fish in the ocean. These fish are categorized into three groups: demersal, pelagic, and reef fish, each with unique characteristics of their respective groups. The manual classification process for large datasets requires a long time and involves complex procedures. With the advent of data and information technology, it is now possible to recognize and identify several fish species found in the ocean, which can be classified into the three groups. To simplify this classification process, a web-based system has been developed to classify fish into these groups. The data to be processed in this research will be classified using the Naive Bayes method to address this issue. This technique utilizes large datasets to extract information that was previously unknown or inaccessible, and it can provide accurate information for various purposes. The data for this study will be collected from various internet references and direct data obtained from fish landing sites (TPI) in Lhokseumawe and North Aceh. Additionally, a literature review method will be used to complement the data analysis process. The development of the web-based system will be implemented to facilitate the classification of fish species based on the existing data.
Sistem Pendukung Keputusan Penentuan Golongan Ukt Bagi Calon Mahasiswa Baru Menggunakan Algoritma K-Nearest Neighbor Said Fadlan Anshari; Syahriani Putri Ayu; Fadlisyah Fadlisyah; Rizki Suwanda; Tri Ramdhany
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 1 (2026): Januari 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i1.271

Abstract

In continuing lectures, financial readiness is needed to finance education. Single Tuition Fee (Uang Kuliah Tunggal or UKT) is a tuition fee in one semester where there is only one type of fee collection based on the economic and social conditions of the student's parents/guardians so that each student's payment is not the same. The existence of these group differences plus the increase in the UKT group can trigger demonstrations at Malikussaleh University for new students of the class of 2023. Therefore, a decision support system is needed in grouping UKT groups. This study uses the K-Nearest Neighbor  algorithm with  a dataset of 1381 UKT data for new students class of 2023. Furthermore, a split dataset was carried out  by dividing 90% of training data and 10% of testing data. Then the attributes used consist of 13 attributes including father's income, mother's income, father's education, mother's education, father's job, mother's job, home status, house area, number of cars, number of motorcycles, number of brothers, number of working brothers, and number of younger siblings. The outputs produced in this study are classified into 7 classes, namely UKT 1, 2, 3, 4, 5, 6, and 7. The accuracy results obtained at K = 15 were 70.5% with an error value of  29.5% with the results of the number of data in UKT 1 as many as 16 people, UKT 2 as many as 38 people, UKT 3 as many as 27 people, UKT 4 as many as 32 people, UKT 5 as many as 26 people, and UKT 6, and UKT 7 as many as 0 people.
Comparison of Single Exponential Smoothing and Double Exponential Smoothing Methods for Gold Price Prediction mardhatillah, mardhatillah; bustami, bustami; suwanda, rizki; safwandi, safwandi; qamal, mukti
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.8597

Abstract

Emas diakui secara global sebagai safe haven asset dengan nilai yang relative stabil, meskipun harganya tetap mengalami fluktasi akibat pengaruh faktor ekonomi  seperti kondisi global, inflasi, serta keseimbangan permintaan dan penawaran. Oleh karena itu, peramalan harga emas yang akurat menjadi penting dalam mendukung pengambilan keputusan investasi. Penelitian ini bertujuan untuk membandingkan kinerja metode Single Exponential Smoothing dan Double Exponential Smoothing dalam meramalkan harga emas. Data yang digunakan berupa data deret waktu bulanan harga emas periode januari 2022 – 2024 yang diperoleh dari beberapa took emas. Sistem peramalan dikembangkan berbasis web menggunakan bahasa pemograman PHP. Evaluasi akurasi dilakukan menggunakan metode Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa kedua metode mampu memberikan prediksi yang cukup baik, namun metode SES menghasilkan nilai MAPE yang lebih rendah dibandingkan DES. Penelitian ini diharapkan dapat menjadi referensi bagi pelaku usaha emas dalam menentukan strategi investasi yang tepat  
Student Academic Consultation Chatbot Using Meta AI Large Language Models and Retrieval-Augmented Generation Pangestu, Aridho; Hamdhana, Defry; Suwanda, Rizki
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.8875

Abstract

Academic consultation is an important service for students in obtaining information related to academic regulations, procedures, and requirements. However, the consultation process, which is still carried out manually, often causes delays in the delivery of information and limited access, especially when students need answers quickly. Therefore, a system is needed that is capable of providing academic consultation services automatically and based on official documents. This study aims to design and build a student academic consultation chatbot using Large Language Model (LLM) technology and Retrieval Augmented Generation (RAG) architecture. The methods used include calling up Academic Guidelines documents, splitting text into several parts (text splitting), creating embeddings using the HuggingFace all-MiniLM-L12-v2 model, and storing embeddings in a vector database. Next, the system performs a relevant document search process using a retriever and utilizes the LLaMA 3.1-8B-Instant model to generate answers based on the context found. The chatbot's performance was evaluated using ROUGE metrics, including ROUGE-1, ROUGE-2, and ROUGE-L, with measurements of precision, recall, and F1-score. The evaluation results showed that the chatbot was able to provide relevant answers in accordance with academic documents. The average evaluation scores obtained were precision of 47,57%, recall of 67,85%, and F1-score of 53,36%. The higher recall score indicates that the system is quite good at covering reference information, although the accuracy of word selection can still be improved.
Hospital Recommendation and Mapping System Using Analytical Hierarchy Process Method and Dijkstra Algorithm Based on Website Tri Ananda Rivalzi; Bustami .; Rizki Suwanda
ITEJ (Information Technology Engineering Journals) Vol. 10 No. 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.200

Abstract

This study aims to develop a web-based hospital recommendation and mapping system utilizing Dijkstra's algorithm and the Analytical Hierarchy Process (AHP) approach. The AHP method is used to determine the best hospital based on various criteria, such as the number of inpatient rooms, number of doctors, security, hospital class type, and available facilities. Meanwhile, the shortest path to the destination is determined using Dijkstra's method to the recommended hospital. 12 hospitals served as the research subjects for a case study carried out in Lhokseumawe City. The results show that Cut Meutia Lhokseumawe Hospital is the best recommendation with the highest ranking value of 0.21. Furthermore, Dijkstra's algorithm for finding the shortest route showed that the distance from the starting point in Gampong Batuphat Timur to the recommended hospital is 17,375 meters. This developed system can assist the public in selecting the best hospital while also finding the fastest route to reach it.
PKM PENGAJIAN HAFALAN QUR’AN WAKTU NYATA MENGGUNAKAN PERANGKAT LUNAK Eva Darnila; Maryana Maryana; Rini Meiyanti; Armelia Dafrina; Rizki Suwanda
Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI) Vol 2 No 1 (2026): Jurnal Pengabdian Masyarakat Teknologi Informasi
Publisher : LPPM Unimal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0330/peranti.v2i1.27457

Abstract

Peningkatan minat masyarakat terhadap hafalan Qur’an, telah memunculkan ide-ide baru terutama dalam membantu masyarakat meningkatkan hafalannya dalam waktu yang singkat. Salah satu pendekatan alternatif tersebut adalah pemanfaatan teknologi yang tepat dan akurat dalam mengevaluasi setiap hafalan dari peserta hafalan Qur’an. Konsep sistem yang dibagun hanya berperan sebagai pengujian hafalan awal, sebelum para peserta menampilkan hafalannya di hadapan para guru. Sistem dibangun dengan seramah mungkin agar masyarakat awam mampu dan mudah menggunakannya, Setelah dilakukan pengujian sistem terhadap para peserta hafalan, diperoleh adanya peningkatan minat dan percepatan masyarakat peserta penghafal Qur’an dalam menyelsaikan hafalannya. Hasil evaluasi menunjukkan bahwa rata-rata 50% dari total peserta berhasil menyelesaikan hafalan dan dianggap layak oleh sistem setelah pengujian pertama, dan 50% sisa peserta berhasil menyelesaikan hafalannya dan telah dianggap layak oleh sistem setelah pengujian kedua. Kata kunci : Hafalan Qur’an, Sistem
Gamifikasi Edukasi Rumah Adat Nusantara Berbasis Android Menggunakan Algoritma Fisher-Yates Shuffle Said Fadlan Anshari; Rizki Suwanda; Rizky Putra Fhonna; Muh Fahrudin Alawi
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v9i2.27577

Abstract

Indonesia memiliki kekayaan budaya yang sangat beragam, salah satunya berupa rumah adat yang mencerminkan identitas dan kearifan lokal masyarakat di berbagai daerah. Namun, minat generasi muda untuk mempelajari warisan budaya tersebut cenderung menurun akibat kurangnya media pembelajaran yang menarik dan interaktif. Penelitian ini bertujuan untuk mengembangkan aplikasi gamifikasi edukasi rumah adat Nusantara berbasis Android dengan menerapkan algoritma Fisher-Yates Shuffle sebagai metode pengacakan elemen permainan. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan pendekatan kualitatif dan eksperimental. Data penelitian diperoleh melalui studi literatur dari Perpustakaan Kota Lhokseumawe, Perpustakaan Program Studi Antropologi Universitas Malikussaleh, serta sumber daring yang relevan. Aplikasi yang dikembangkan memiliki tiga fitur utama, yaitu permainan susun gambar rumah adat, kuis interaktif, dan ensiklopedia rumah adat Nusantara. Algoritma Fisher-Yates Shuffle digunakan untuk mengacak susunan puzzle dan soal kuis sehingga menghasilkan variasi permainan yang lebih menarik dan tidak repetitif. Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan mampu menjadi media pembelajaran yang interaktif, edukatif, dan menyenangkan bagi anak-anak usia sekolah dasar hingga sekolah menengah pertama. Selain meningkatkan keterlibatan pengguna dalam proses belajar, aplikasi ini juga berkontribusi dalam memperkenalkan dan menumbuhkan kecintaan terhadap budaya Indonesia melalui pemanfaatan teknologi digital.
Pemanfaatan ChatGPT dalam Penulisan Karya Ilmiah dari Ide Sampai Publikasi Muhammad Khoiruddin Harahap; Rizki Suwanda
Pengabdian Pendidikan Indonesia Vol. 3 No. 01 (2025): Artikel Periode April 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ppi.v3i01.5827

Abstract

Kemampuan menulis ini menjadi hal yang harus dipahami, tetapi tidak semua mampu menulis karya ilmiah yang berkualitas mengingat masih ada yang mengalami kesulitan berkenaan dengan kendala menulis karya ilmiah. Keterbatasan tersebut seperti penguasaan tata bahasa yang baik, keterampilan berpikir kritis, dan juga penggunaan daftar pustaka yang masih belum akurat yang menjadi tantangan utama yang harus dihadapi mahasiswa dalam menulis karya ilmiah. Tujuan pengabdian masyarakat ini adalah untuk mengetahui efektifitas pemanfaatan ChatGPT dalam penulisan karya ilmiah dari ide sampai publikasi. Kegiatan pengabdian masyarakat ini dilakukan secara daring pada hari sabtu 19 April 2025, diikuti 195 peserta dari berbagai universitas. Kegiatan pelatihan mencakup pemaparan materi, panduan teknis, dan coaching clinic penggunaan ChatGPT. Sebanyak 167 atau sebesar 85,64% memberikan respon yang baik menggunakan ChatGPT dan terdapat beberapa peserta kesulitan dalam menggunakan ChatGPT. Kesimpulan di dalam kegiatan webinar ini, bahwa teknologi ChatGPT mampu meningkatkan keterampilan menulis karya ilmiah. Kegiatan ini dapat meningkatkan pengetahuan dan pemahaman tentang struktur dan format penulisan karya ilmiah dengan memanfaatkan ChatGPT serta menumbuhkan kesadaran pemanfaatan teknologi sesuai etika dan kaidah keilmuan.
Co-Authors ., Bustami Absa, Munzir Adek, Rizal Tjut Amanda, Sherly Dwi Ananda, Ria Anggara, Aji Armelia Dafrina Arnawan Hasibuan Ayu Rosmala, Ayu Rosmala Ayu Suningsih Bayu Winata Bustami Bustami . Bustami Bustami Cut Rifa Salsabil Dahlan Abdullah Defry Hamdhana Dendy K. Pramudito Desi Dini Fariha Efendi, Syahril Erna Budhiarti Eva Darnila Fadillah, Rizky Fadlisyah Fadlisyah Fadlisyah Fanita Fanita, Fanita Fatia Naura Fatih Dwi Laksana Haj, Shafly Ulya Halimatus Sakdiah, Halimatus Hamdhana, Defry Irsan Efendi Rangkuti Judijanto, Loso Laksana, Fatih Dwi Maisarah Mardhatillah, Mardhatillah Maryana Maryana Muchlis Abdul Muthalib Muh Fahrudin Alawi Muhammad Daud Muhammad Fathurrahman Fathurrahman Muhammad Fikry Muhammad Furqan Muhammad Habibi Muhammad Iqbal Muhammad Iqbal Muhammad Khardawi Muhammad Khoiruddin Harahap Muhammad Naufal Muhammad Zakaria Muhammad Zikri Mukti Qamal Muna Kamilah Muna, Ninal Munirul Ula Munzir Nazaruddin Ahmad Nur Fazri Husna Nur Mauliza Nurdin Nurdin Nurul Nafisa Pangestu, Aridho Raudhatul Fazira Rini Meiyanti Rivalzi, Tri Ananda Rizal Rizal Rizal Rizal S.Si., M.IT, Rizal Rizal Tjut Adek 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 Salshabila Putri Siti Nadilla Sutri Wandani Syahriani Putri Ayu Syibral Malasyi, Syibral Taufiq Taufiq Teguh Brahmana Tiara Sartika Tri Ananda Rivalzi Tri Ramdhany Tulus Setiawan Usman Usman Wardhiah Wardhiah Wardina Ningsih Yudhi Franata Zahra, Annisa Afrilia Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar