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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Jurnal Media Wahana Ekonomika PREDIKSI Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL MANAJEMEN BISNIS Jurnal Literasiologi Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Tekno Kompak Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Jurnal Abdidas Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal Pengabdian UNDIKMA Journal of Electrical Engineering and Computer (JEECOM) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Silva Samalas: Journal of Forestry and Plant Science Jurnal Elkasista ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An Jurnal Ilmiah Pendidikan Dasar (JIPDAS) Journal of Engineering, Technology and Computing (JETCom) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Management, Economic and Accounting (JMEA) Insand Comtech : Information Science and Computer Technology Journal International Journal of Engineering Continuity Valid Jurnal Pengabdian Journal of Economics and Management Scienties Jurnal Riset Rumpun Ilmu Pendidikan (JURRIPEN) Prosiding Seminar Nasional Unimus Prosiding Seminar Nasional CORISINDO Media Pendidikan Matematika
Hairani Hairani
Universitas Bumigora, Mataram, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Application of RFM Model and K-Means Algorithm in Customer Loyalty Segmentation of Indonesian Regional Water Utility Company (PDAM) Hairani, Hairani; Wahyudi, Rizki; Gede Yogi Pratama; M.Khaerul Ihsan
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 5 No. 1 (2026): March 2026
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v5i1.6087

Abstract

Customer loyalty is an important factor in maintaining the sustainability of the Regional Drinking Water Company (PDAM) business, because it directly affects customer retention and company revenue. However, PDAM faces challenges in understanding the diverse patterns of customer loyalty. Therefore, this study aims to group customer loyalty based on using Recency, Frequency, Monetary (RFM) analysis and the K-Means clustering method. The methods used are RFM and K-Means which use 20,000 PDAM customer transaction data. Based on the results of the RFM analysis which was then clustered with K-Means, three customer loyalty clusters were obtained, namely High Value customers (Cluster 0) with 4900 data, Medium Value (Cluster 2) with 10,600 data, and Low Value (Cluster 1) with 4500 data. The results of the analysis show that the High Value cluster consists of customers who have recently made transactions, have a high purchase frequency, and spend large purchase values. On the other hand, the Low Value cluster includes customers with low recency, frequency, and monetary values, indicating a low level of loyalty. The implication of this study is that PDAM customer segmentation using RFM analysis and the K-Means algorithm produces three loyalty clusters, namely High Value, Medium Value, and Low Value, which allow the company to design more targeted service and marketing strategies according to the characteristics of each customer group.
Sentiment Classification of Football Supporters Using NusaBERT Embeddings, BiLSTM, and BiGRU Methods Guntara, Muhammad; Gusti Ayu Diah Gita Kartika Santi, I; Hairani, Hairani; Lalu Zazuli Azhar Mardedi
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 5 No. 1 (2026): March 2026
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v5i1.6151

Abstract

Class imbalance and the use of non-standard language in football supporters’ opinions on social media constitute major obstacles to producing accurate sentiment classification for evaluating federation performance. This study aims to identify the most effective bidirectional recurrent architecture for capturing public opinion after applying data balancing techniques. Using a primary dataset of 1,039 instances (604 positive and 435 negative samples), the proposed method integrates a pre-trained NusaBERT model with hybrid Bidirectional Long Short-Term Memory (BiLSTM) and Bidirectional Gated Recurrent Unit (BiGRU) layers. To address data imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) is applied to the training data, with dataset partitioning using a stratified split ratio of 70:30. The results indicate that the NusaBERT-BiLSTM model achieves the best performance, with a testing accuracy of 70.83% and an F1-score of 0.6990, outperforming the BiGRU variant, which attains an accuracy of only 64.74%. Furthermore, NusaBERT-BiLSTM demonstrates greater reliability in detecting negative sentiment, achieving a recall value of 0.6336 compared to 0.4504 for BiGRU. In conclusion, combining NusaBERT's semantic strength with SMOTE-based balancing and BiLSTM layers significantly enhances the model’s sensitivity to minority opinions without causing data leakage. This study contributes a more objective classification model for national team management to accurately map public criticism and aspirations on social media.
EVALUASI PROGRAM PENDIDIKAN KEAGAMAAN DALAM MENDUKUNG KEBIJAKAN SEKOLAH RAMAH ANAK DI SMP NEGERI 6 TANJUNG Hairani, Hairani; Madihah, Husnul; Rahmi, Agustina
Jurnal Ilmiah Pendidikan Dasar (JIPDAS) Vol 6 No 1 (2026): Vol. 6 No. 1 Edisi Februari 2026
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Fakultas Pendidikan Ilmu Pengetahuan Sosial dan Bahasa Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/jipdas.v6i1.4594

Abstract

Pendidikan keagamaan memegang peran yang strategis, baik dalam membentuk karakter peserta didik maupun dalam menciptakan suasana sekolah yang aman serta ramah bagi anak. Selaras dengan implementasi kebijakan Sekolah Ramah Anak (SRA), penyelenggaraan pendidikan keagamaan di sekolah umum dituntut untuk tidak semata-mata berfokus pada penguasaan materi keagamaan, melainkan juga pada upaya perlindungan hak anak serta pengembangan lingkungan belajar yang humanis. Studi ini dimaksudkan guna mengevaluasi pelaksanaan program pendidikan keagamaan dalam mendukung kebijakan Sekolah Ramah Anak di SMP Negeri 6 Tanjung. Studi ini mengadopsi pendekatan kualitatif dengan jenis penelitian evaluatif, memakai model evaluasi CIPP (Context, Input, Process, Product). Model CIPP dipilih karena sesuai dengan jenis penelitian evaluatif yang bertujuan memberikan rekomendasi perbaikan terhadap program yang sedang berjalan. Melalui evaluasi konteks, peneliti dapat menilai relevansi program dengan kebutuhan sekolah dan kebijakan yang berlaku. Evaluasi input membantu mengidentifikasi kecukupan sumber daya, baik dari segi tenaga pendidik, sarana prasarana, maupun perencanaan program. Evaluasi proses memungkinkan peneliti mengkaji kesesuaian pelaksanaan program dengan rencana yang telah ditetapkan, sedangkan evaluasi produk bertujuan menilai dampak dan hasil yang dicapai. Oleh karena itu, penggunaan model CIPP dalam penelitian ini diharapkan mampu memberikan analisis yang mendalam serta rekomendasi yang konstruktif bagi pengembangan program pendidikan keagamaan di sekolah. Penghimpunan data dilakukan melalui wawancara mendalam, observasi, serta dokumentasi, yang melibatkan kepala sekolah, guru pendidikan agama, guru bimbingan dan konseling, peserta didik, serta orang tua. Hasil studi ini mengindikasikan bahwasannya program pendidikan keagamaan telah berkontribusi signifikan dalam membentuk iklim sekolah yang inklusif, aman, serta berorientasi pada pembinaan karakter melalui pembiasaan religius, disiplin positif, serta penguatan nilai empati dan toleransi. Namun demikian, masih ditemukan kendala pada aspek konsistensi implementasi dan pemantauan program. Studi ini memberikan kontribusi pada pengembangan model evaluasi pendidikan keagamaan berbasis Sekolah Ramah Anak di sekolah menengah pertama negeri.
UTILIZATION OF FREE ENERGY FOR POWER CHARGING USING MAGNETIC GENERATORS IN MILITARY OPERATIONS IN REMOTE AREAS Eka Setiawan, Rian Putra; Kasiyanto, Kasiyanto; Hairani, Hairani
Elektronika Sistem Senjata Vol 6 No 1 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v5i2.522

Abstract

Penelitian ini bertujuan mambantu tugas pokok TNI-AD menggunakan Generator magnet yang memiliki konsep free energy sebagai solusi untuk penyediaan energi dalam operasi militer, terutama di wilayah terpencil di mana sumber energi konvensional kurang dan sulit dijangkau. Generator magnet yang dirancang untuk dapat beroperasi pada kecepatan rendah dapat mengisi perangkat militer dengan generator magnet yang memiliki konsep free energy. Dengan desain, pengujian, dan analisis generator magnet yang dioptimalkan untuk pengisian daya pada kecepatan rendah. Penelitian ini adalah bertujuanagar generator magnet menghasilkan energy yang dapat digunakan di medan operasi militer terpencil. Hasil pengujian menunjukkan bahwa generator ini mampu menghasilkan energi yang tinggi dengan efisiensi mencapai 82,3% pada kecepatan 200 RPM. Energi yang dihasilkan cukup untuk mengisi daya perangkat militer dan menyediakan cadangan daya yang stabil. Dengan kemampuan ini, generator magnet yang dirancang dapat menjadi sumber daya yang cukup untuk mendukung operasi militer di medan yang sulit dijangkau.
ANALYSIS OF THE KALMAN FILTER METHOD ON A GYROSCOPE TO REDUCE NOISE TO IMPROVE RESPONSIBILITY IN A SHOOTING Widiatmoko, Dekki; Eka Setiawan, Rian Putra; Hairani, Hairani; utomo, rokhim
Elektronika Sistem Senjata Vol 6 No 2 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v6i2.671

Abstract

This study aims to analysis how effective the Kalman Filter method is in reducing noise in gyroscope signals to improve the responsiveness of a shooting simulator. By using the Kalman Filter, the data from the gyroscope becomes more accurate, leading to a more realistic shooting simulation experience. The clearer signal not only improves orientation accuracy but also reduces the system's response time, making the simulator faster and more precise in reacting to user inputs. The results show that the Kalman Filter significantly enhances the performance of the shooting simulator, which is crucial in military and security settings where accuracy and quick response are essential.
K-Nearest Neighbor Performance Optimization for Multiclass Imbalance of Intrusion Detection Data Using SMOTE and Distance Variation-Based Parameter Tuning Hairani Hairani; Christopher Michael Lauw; Sri Farida Utami; Afrig Aminuddin; Abu Tholib
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): Juni 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.7489

Abstract

The increasing use of computer networks and internet-based services has made cybersecurity threats more complex. Intrusion Detection Systems (IDS) play a crucial role in identifying network attacks; however, conventional signature- or rule-based approaches are limited in handling novel attacks and dynamically changing attack patterns. Therefore, machine learning approaches are applied to enhance the adaptive capabilities of IDS. Nevertheless, the use of machine learning in IDS still faces a major challenge: data imbalance, where normal traffic significantly outweighs attack traffic. This condition biases models toward the majority class, leading to suboptimal detection of minority attacks. Based on this issue, this study aims to improve the performance of the K-Nearest Neighbor (KNN) method in network attack detection by applying the Synthetic Minority Over-sampling Technique (SMOTE) and parameter tuning. The study employs KNN with parameter tuning and SMOTE to address multiclass data imbalance in network attack detection. Parameter tuning is conducted to determine the optimal value of k and distance functions, including Euclidean, Manhattan, and Cosine Similarity. The results show that KNN with k = 3 and Manhattan distance on SMOTE-balanced data achieves the highest accuracy of 96.51%, outperforming Euclidean and Cosine Similarity distances. These findings conclude that applying SMOTE and appropriately selecting k and distance metrics significantly improve KNN performance in network attack detection and increase overall detection accuracy.
Co-Authors Abdillah, Mokhammad Nurkholis Abdurraghib Segaf Suweleh Abdurraghib Segaf Suweleh Abu Tholib Adam, M. Awaludin Afrig Aminuddin Ahmad Ahmad Ahmad Fathoni Ahmad Zuli Amrullah Aleeka Jasmine Amelia, Bengi Amin, Farda Milanda Andi Sofyan Anas Andi, Moh syaiful Andini, Nisha Anggarawan, Anthony Anthony Anggrawan Arfa, Muhammad Arifah Ulayya Ashadi, Diki Astuti, Ni Luh Budi Ayu Dasriani, Ni Gusti Candra, M. Ade Christine Eirene Christopher Michael Lauw Christopher Michael Lauw Dadang Priyanto Dedi Aprianto Dedy Febry Rachman Dedy Febry Rahman Deny Jollyta Dian Syafitri Diana Hidayati Diana Hidayati Didik Dwi Prasetya Diki Ashadi Dirgantara, Bhintang Donny Kurniawan Dyah Susilowati Dyah Susilowaty ED. Yunisa Mega Pasha ED. Yunisa Mega Pasha Eka Setiawan, Rian Putra Ezra Azzahra Fahry, Fahry Fatimatuzzahra Fatimatuzzahra Fitra Rizki Ramdhani Gede Yogi Pratama Gibran Satya Nugraha Gibran Satya Nugraha Gumangsari, Ni Made Gita Guntara, Muhammad Gusti Ayu Diah Gita Kartika Santi, I Gustiya, Sherly Dwi Guterres, Juvinal Ximenes Hadi, M Fawazi Hammad, Rifqi Hartono Wijaya Haryono Haryono Hasbullah Hasbullah Herawati, Baiq Candra Heru Kurnianto Tjahjono Hery Widijanto Hidayati, Diana Huda, Dias Nabila Husnul Madihah I Gusti Agung Ayu Hari Triandini I Nyoman Switrayana Ida Putu Andika Ifnaldi Ifnaldi Iis Sopiah Suryani Ilham Saifuddin Indah Puji Lestari Indradewa, Rhian Isviyanti, Isviyanti Janhasmadja, Mengas Jauhari, M. Thonthowi Jupriadi, Jupriadi Juvinal Ximenes Guterres Juvinal Ximenes Guterres Juvinal Ximenes Guterres Juvinal Ximenes Guterres Kandisa, Amelia Kasiyanto Kasiyanto, Kasiyanto Khairan marzuki Khairil Ihsan Khasnur Hidjah Khurniawan Eko Saputro Kurniadin Abd Latif Kurniawan Kurniawan Lalu Ganda Rady Putra Lalu Zazuli Azhar Mardedi Lilik Nurhayati lnnuddin, Muhammad M. Ade Candra M. Rasyid Ridho M.Khaerul Ihsan Maariful Huda, Muhammad Malika, Riwayati Mamay Maulana Mamay Maulana Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Mayadi Mayadi Mayadi, Mayadi Mayasari, Astri Melati Rosanensi Mia Nisrina Anbar Fatin Michael Lauw, Christopher Miftahul Madani Muhamad Azwar Muhamad Azwar, Muhamad Muhamad Reza Pahlevi Muhamad Reza Pahlevi Muhammad Arfa Muhammad Fahmi Muhammad Innuddin Muhammad Maariful Huda Muhammad Ridho Akbar Muhammad Ridho Hansyah muhammad Syahbudi, muhammad Muhammad Zulfikri Muhammad Zulfikri Muhammad Zulkarnaen Haris Mujahid Mujahid Neny Sulistianingsih Noor Akhmad Setiawan Novitasari Tsamrotul Fuadah Nur Intan Hayati Nur Intan Hayati Nurhayati, Lilik Nurul Azmi Nurvianti, Nurvianti Nuzululnisa, Bq Nadila Pahrul Irfan Putu Tisna Putra Qososyi, Sayidina Ahmadal Rahman, Mochamad Farhan Caesar Rahmawati, Lela Rahmi, Agustina Ramadhanti Ramadhanti Ramadhanti, Ramadhanti Rangga Wijaya Rifqi Hammad Rio Riswanto Simanjuntak Riosatria, Riosatria Riwayati Malika Rizki Wahyudi RR. Ella Evrita Hestiandari Saifuddin Zuhri Saifuddin, Ilham Samsul Hadi Santoso, Heroe Shudiq, Wali Ja'far Soepriyanto, Harry Sofiansyah Fadli Soni Muhsinin Sri Farida Utami Sri Winarni Sofya Sri Winarni Sofya Sudi Prayitno Sukron, Moh Sutarman Sutarman Syahrir, Moch. tadianta m., Winardi aries Teguh Bharata Adji Tri Nur Jayanti Tri Nur Jayanti Triwijoyo, Bambang Krismono Triyanna Widiyaningtyas Umi Hanifah Utomo, Rokhim Vidiasari, Herlita Vidiasari, Viviana Herlita Vina Vitniawati Wahyuningsih, Rr. Sri Handari Wangiyana, I Gde Adi Suryawan Wening Asih Sutrisno Wening Asih Sutrisno Widhya Aligita Widhya Aligita Widiatmoko, Dekki Wira Hendri Wiyanto, Suko Ximenes Guterres, Juvinal Yuri Ariyanto Zilullah Nazir Hadi