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All Journal Teknika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Informatika Kaputama (JIK) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JINAV: Journal of Information and Visualization Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika jeti Brilliance: Research of Artificial Intelligence Aptekmas : Jurnal Pengabdian Kepada Masyarakat Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Journal of Mathematics Instruction, Social Research and Opinion Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Gameology and Multimedia Expert JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Journal of Algorithmic Digital Engineering and Networks Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Rini Meiyanti
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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
A-Star and SMART Methods for Islamic Boarding School Recommendations in North Aceh and Lhokseumawe Fuzna Febriani; Dahlan Abdullah; Rini Meiyanti
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.8928

Abstract

Advances in information technology have increased the public’s need for systems capable of providing information quickly and easily, including in searching for Islamic boarding schools. This study developed a web-based Geographic Information System (GIS) to recommend Islamic boarding schools in North Aceh and Lhokseumawe using the Simple Multi-Attribute Rating Technique (SMART) method and the A-Star algorithm. The SMART method determines rankings based on four criteria: location, accreditation, number of students, and type of boarding school through weighting, min-max normalization, and utility calculation. A-Star is applied to find the shortest route using the Haversine formula. The dataset consists of 361 verified boarding schools from the Dayah Education Office. Black box testing confirms all system functions are valid. Results show Dayah Darul Yaqin achieved the highest SMART score of 81.44 with a distance of 0.3 km, followed by Imam Syafi’i with 80.66 and 0.88 km, demonstrating that the SMART-A-Star integration produces objective and efficient recommendations.
SISTEM PEMILIHAN SISWA BERPRESTASI DI SEKOLAH MIN 1 LABUHANBATU UTARA MENGGUNAKAN METODE NAIVE BAYES: OUTSTANDING STUDENT SELECTION SYSTEM AT MIN 1 LABUHANBATU UTARA SCHOOL USING THE NAIVE BAYES METHOD Mey Suci Br Pardosi; Munirul Ula; Rini Meiyanti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6519

Abstract

This study aims to develop a system for selecting outstanding students at MIN 1 Labuhanbatu Utara using the Naive Bayes method as a classification technique. The data used consists of 252 student records as training data and 52 records as test data. The testing results show that the system can perform classification with 100% accuracy, where all test data were correctly predicted. This proves that the Naive Bayes method is highly effective and reliable in the process of selecting outstanding students within the school environment. Furthermore, the implementation of this system facilitates and accelerates the assessment and decision-making process without compromising the accuracy and precision of the results. Thus, this system is expected to assist the school in managing and determining outstanding students more efficiently and accurately.
PERANCANGAN GAME EDUKASI INTERAKTIF BERBASIS WEB UNTUK PEMBELAJARAN SIRAH NABAWIYAH DENGAN SISTEM ADAPTIF MENGGUNAKAN FUZZY LOGIC: DESIGN OF A WEB-BASED INTERACTIVE EDUCATIONAL GAME FOR LEARNING SIRAH NABAWIYAH WITH AN ADAPTIVE SYSTEM USING FUZZY LOGIC Mirza Mirza; Wahyu Fuadi; Rini Meiyanti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6533

Abstract

This study aims to develop a web-based interactive educational game designed specifically to help students understand the subject of Sirah Nabawiyah in a more engaging and adaptive way. In its development, the system adopts a fuzzy logic approach as an adaptive method that allows the adjustment of question difficulty levels based on each user’s ability. The system utilizes parameters such as score, response speed, and answer accuracy, which are processed to classify users into three ability categories: Advanced, Intermediate, or Beginner. The development process follows the waterfall methodology through the stages of needs analysis, system design, implementation, and testing. Black box testing results indicate that all features function properly and the system is capable of delivering accurate adaptive responses. Furthermore, trials conducted with 30 elementary school students showed a 28% improvement in material comprehension, based on a comparison between pre-test and post-test results before and after using the educational game. Thus, the implementation of fuzzy logic in this educational game provides a tangible contribution to technological innovation in Islamic education, particularly in delivering religious content in a digital and enjoyable manner for elementary students.
KLASIFIKASI STATUS ANAK STUNTING MENGGUNAKAN METODE K-NEAREST NEIGHBOR : CLASSIFICATION OF CHILD STUNTING STATUS USING THE K-NEAREST NEIGHBOR METHOD Ahmad Junaidi; Nurdin Nurdin; Rini Meiyanti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6536

Abstract

Stunting is a public health problem that has a serious impact on children's growth and development, particularly during the first 1,000 days of life. This study aims to implement the K-Nearest Neighbor (KNN) algorithm to classify stunting status in toddlers and to develop a web-based system to support early detection at the Muara Satu Public Health Center. The dataset consists of 558 entries, including age at measurement, birth weight, birth height, current weight, current height, and upper arm circumference. Data normalization was performed using the Min-Max method to standardize feature scales. The classification process applied the Euclidean distance metric and determined the class based on the majority of the three nearest neighbors (k=3). The choice of k was based on preliminary testing, but further optimization is suggested for future research. The developed system allows healthcare workers to input toddler data and automatically obtain classification results as either “Normal” or “Indicated Stunting.” Experimental results show an accuracy of 89.42%, although potential false positives and false negatives remain to be further analyzed. This study is limited to data from a single health center, thus model generalization requires validation with multi-center datasets and larger sample sizes. The integration of machine learning into health information systems has proven to improve the efficiency and accuracy of community nutrition services, and future work is recommended to explore other algorithms such as ensemble learning to further enhance performance.
Rancang Bangun Sistem Informasi Reservasi Kamar Hotel menggunakan Java Netbeans Rini Meiyanti
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 5 No. 2 (2021): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2021
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v5i2.6242

Abstract

Dalam dunia perhotelan, sistem informasi mempunyai peran yang cukup penting dalam meningkatkan kualitas pelayanan yang ada pada hotel itu sendiri. Salah satu peran yang dimiliki sistem informasi dalam dunia perhotelan adalah sistem reservasi kamar hotel. Dalam dunia perhotelan terdapat istilah reservasi yaitu pemesanan kamar oleh konsumen. Selama ini Hotel Darussalam menerima reservasi via telepon, fax atau konsumen mendatangi langsung hotel tersebut. Pencatatan data yang dilakukan oleh karyawan masih manual. Sistem ini dibangun untuk memudahkan konsumen atau tamu dalam melakukan reservasi, memudahkan pegawai dalam pencatatan dan pengolahan data serta pembuatan laporan dan membantu publikasi Hotel Darussalam Medan dengan skala yang lebih luas. Sistem yang dibangun menggunakan Java Netbeans.
Application of the Rule-Based Pattern Matching Method to Detection of Types of Mujarrad and Mazid Verbs in the Qur'an Based on Arabic Morphology Patterns Suci Khairani; Rini Meiyanti; Nunsina Nunsina
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13235

Abstract

Arabic has a complex morphological system, particularly in the formation of fi’il (verbs), which in sharaf are classified into fi’il mujarrad and fi’il mazid. Fi’il mujarrad refers to basic verbs without additional letters, while fi’il mazid involves added letters that form specific wazan (patterns). The main problem addressed in this study is the similarity of morphological patterns between fi’il and non-fi’il, which affects classification accuracy. This study aims to identify fi’il in Surah Al-Baqarah and classify them into mujarrad and mazid, along with their wazan patterns, automatically using a rule-based pattern matching approach. The method applies rules based on Arabic morphological patterns, such as fi’il mudhari’ prefixes, word length, and the presence of additional letters in accordance with sharaf principles.The data consist of Qur’anic text processed through preprocessing stages, including load data and tokenization. The system detected 916 candidate fi’il, of which 468 data points were used for evaluation by comparison with manual annotations using a confusion matrix.The results show that the system achieved an accuracy of 75% for fi’il type classification, with precision, recall, and F1-score of 0.77, 0.75, and 0.75, respectively. For wazan classification, the system achieved an accuracy of 69.23%, with weighted average precision of 0.66, recall of 0.69, and F1-score of 0.65. These findings indicate that the rule-based approach is sufficiently effective in detecting fi’il mujarrad and mazid, although performance for certain wazan patterns remains limited due to structural similarities. Therefore, further development of more specific rules and integration with machine learning methods are recommended to improve system accuracy.  
Co-Authors Agam Muarif Ahmad Junaidi Aidilof, Hafizh Al Kautsar Andri Alfitra Angga Pratama Anggara, Aji Ar Razi Arief Rahman Armelia Dafrina Asrianda Asrianda Ayu Ramazani Azmi, Win Azwir, Andrea Micola Bagaswara, Faris Bustami Bustami Chaliza Nur, Wan Amalia Cut Agusniar Cut Lika Mestika Sandy Cut Lika Mestika Sandy Dahlan Abdullah Dahlan Abdullah Eva Darnila Eva Darnila Fahmi Izhari Izhari Faiz Syukri Arta Faiz Fasdarsyah Fasdarsyah Fatayati, Nufus Fitri*, Zahratul Fuadi, Wahyu Fuzna Febriani Habib Muharry Yusdartono Hafidh Rafif, Teuku Muhammad Hamsi, Widia Harahap, Ilham Taruna Harahap, Lina Mardiana Hasan Dalimunthe, Amir Kamaruzzaman, Hilda Zulfira Kautsar, Al Khairul Anshar Lidya Rosnita Lina Mardiana Harahap M. Raiyan Firdaus Mamat, Rizalman Bin Maryana Maryana Maryana Maryana Mey Suci Br Pardosi Mirza Mirza Muchlis Abdul Muthalib Muhammad Muhammad Alif Al Fattah Muhammad Faisal Muhammad Fikry Muhammad Ikhwani Muhammad Muaz Munauwar Muhammad Muaz Munauwar Muhammad Muhammad Mulyawan, Rizka Munirul Ula Muthalib, Muchlis Abd Muthiah Riani Harahap Mutia Zahara Na'syakban, Irvan Nunsina Nunsina Nunsina Nunsina Nunsina, Nunsina Nurdin Nurdin Rahma Fitria Rahma Fitria Rahma Fitria, Rahma Raisya Kamila Ramadhani, Putri Yesi Rangkuti, Haris Yunanda Rara Audia Utami Rizal Rizal Rizal, Reyhan Achmad Rizki Suwanda Rizkya, Ghinni Ruzanna, Arina Safriana Safriana Safwandi Safwandi Safwandi Said Fadlan Anshari Sandy, Cut Lika Mestika Serlina Serlina Suci Khairani Sujacka Retno Sukiman, T. Sukma Achriadi Syibral Malasyi, Syibral Wahyu Fuadi Yesy Afrillia Zahratul Fitri, Zahratul Zainuddin Ginting Zalfie Ardian Zara Yunizar