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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pendidikan UNIGA Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control InComTech: Jurnal Telekomunikasi dan Komputer INOVTEK Polbeng - Seri Informatika IJIS - Indonesian Journal On Information System Sebatik ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) IJISTECH (International Journal Of Information System & Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) PRAJA: Jurnal Ilmiah Pemerintahan Indonesian Journal of Electrical Engineering and Computer Science JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical Engineering and Computer (JEECOM) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Buletin Poltanesa International Research on Big-data and Computer Technology (IRobot) Bulletin of Computer Science Research Journal of Applied Sciences, Management and Engineering Technology (JASMET) Journal of Information Technology (JIfoTech) Jurnal Informatika Teknologi dan Sains (Jinteks) JAIA - Journal of Artificial Intelligence and Applications Nusantara of Engineering (NOE) Jurnal Bangkit Indonesia Jikom: Jurnal Informatika dan Komputer Journal of Informatics, Electrical and Electronics Engineering SmartComp Jurnal Informatika Polinema (JIP) TECHNOVATAR Intechno Journal : Information Technology Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Teknologi : Jurnal Ilmiah Sistem Informasi
Alva Hendi Muhammad
Universitas Amikom Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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An Advanced Deep Learning Approach for Automatic Disease Recognition and Classification in paddy leaf disease detection Marco, Robert; Muhammad, Alva Hendi; Aini, Nur; Hendriana, Yana
Intechno Journal : Information Technology Journal Vol. 7 No. 2 (2025): December
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2025v7i2.2482

Abstract

Purpose: Accurate detection of paddy leaf diseases is essential to ensure optimal crop yield and effective disease management. Methods/Study design/approach: In this study, we propose a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and an Attention mechanism for paddy leaf disease classification using the Paddy Doctor dataset. The CNN layers extract spatial features from leaf images, the LSTM captures contextual relationships between these features, and the Attention mechanism emphasizes the most relevant patterns for accurate classification. Result/Findings: Experimental results show that the proposed CNN+LSTM+Attention model achieves 95.5% accuracy, 98.12% precision, 98.3% recall, and 0.994 macro AUC, outperforming a simple CNN-3 layer while offering competitive performance compared to state-of-the-art architectures such as ResNet34 and Xception. Novelty/Originality/Value: These results demonstrate that the proposed model is highly effective in detecting paddy leaf diseases with minimal false negatives, providing a reliable and practical solution for automated paddy disease monitoring systems
PENERAPAN ALGORITMA MONTE CARLO UNTUK MEMPREDIKSI IPS DAN IPK BERDASARKAN KARAKTERISTIK MAHASISWA PERGURUAN TINGGI X DI KOTA CIREBON Malik, Husni Hidayat; Muhammad, Alva Hendi; Kusnawi, Kusnawi
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol 2 No 4 (2024): OKTOBER
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/technovatar.v2i4.225

Abstract

Penelitian ini bertujuan untuk memprediksi Indeks Prestasi Semester (IPS) dan Indeks Prestasi Kumulatif (IPK) mahasiswa berdasarkan beberapa variabel karakteristik menggunakan algoritma Markov Chain Monte Carlo (MCMC). Variabel yang digunakan dalam penelitian ini meliputi program studi, golongan darah, pekerjaan ayah, pekerjaan ibu, dan jalur masuk. Prediksi nilai IPS dan IPK sangat penting untuk mengevaluasi kinerja akademik mahasiswa dan memberikan wawasan bagi kebijakan pendidikan di perguruan tinggi. Metode penelitian ini melibatkan penggunaan algoritma MCMC untuk memodelkan hubungan antara variabel karakteristik dengan IPS dan IPK. Data yang digunakan terdiri dari 250 mahasiswa, yang kemudian dibagi menjadi data pelatihan dan pengujian dengan rasio 80:20. Metrik evaluasi seperti Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), dan R-squared (R²) digunakan untuk mengevaluasi akurasi model prediksi. Hasil penelitian menunjukkan bahwa model MCMC mampu memprediksi IPS dan IPK dengan akurasi yang baik, ditunjukkan oleh nilai MAE sebesar 0.12 untuk IPS dan 0.11 untuk IPK, serta R² sebesar 0.78 untuk IPS dan 0.80 untuk IPK. Variabel program studi dan jalur masuk muncul sebagai faktor yang paling signifikan dalam mempengaruhi nilai akademik mahasiswa, sementara golongan darah memiliki pengaruh yang lebih rendah. Pekerjaan ayah dan pekerjaan ibu juga memberikan kontribusi moderat terhadap prediksi hasil akademik. Kesimpulannya, algoritma MCMC efektif digunakan untuk memprediksi IPS dan IPK berdasarkan karakteristik mahasiswa, memberikan wawasan bagi institusi pendidikan dalam mengambil keputusan terkait pembinaan dan pengelolaan akademik.
Analysis of the Impact of Implementing Wireless Security Protocol (WPA2-PSK and WPA3-SAE) on Handover Performance on 5Ghz Network Sofian Dwi Hadiwinata; Alva Hendi Muhammad; Ilham Setya Budi
Poltanesa Vol 26 No 1 (2025): June 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i1.3086

Abstract

This study aims to analyze the impact of implementing wireless security protocols WPA2-PSK and WPA3-SAE on handover performance in 5 GHz networks. Efficient handover is crucial to maintaining seamless connectivity and quality of service in WiFi networks, especially on the 5 GHz frequency band widely used for high bandwidth applications. The research method involves testing and measuring handover performance parameters such as handover latency, connection handover success rate, and signal stability for both security protocols. The analysis results indicate that although WPA3-SAE offers significant security improvements compared to WPA2-PSK, there are differences in handover performance that need to be considered. WPA3-SAE tends to cause slightly higher handover latency due to its more complex authentication process but still provides good connection stability. Conversely, WPA2-PSK show lower handover latency but with a lower level of security. These findings provide important insights for network administrators in selecting a security protocol that balances security needs and handover performance to optimize user experience on 5 GHz networks.
Optimasi Model XGBoost dengan Genetic Algorithm untuk Prediksi Kesehatan Mental Siswa Sekolah Menengah Berbasis Machine Learning Nor Riduan; Alva Hendi Muhammad
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.4013

Abstract

Mental health is a vital aspect of human well-being, yet often neglected. Recent studies report a rise in depression, anxiety, and stress among adolescents, especially post-COVID-19. Machine learning has emerged as a powerful tool for predicting mental health conditions. This study employs the XGBoost Regressor using a regression-based ML approach to predict mental health high school students. To enhance accuracy, hyperparameter optimization is conducted using a Genetic Algorithm (GA) to identify the optimal parameter set. The baseline model achieved an MSE of 0.3698, RMSE of 0.6081, and MAPE of 14.09%. After GA optimization, performance improved to an MSE of 0.3092 (16.4% reduction), RMSE of 0.5560 (8.6% reduction), and MAPE of 12.88% (8.6% reduction). These results demonstrate the model's effectiveness for early mental health screening in educational settings, enabling timely interventions by school counselors and healthcare providers.
Business Process Model And Notation Untuk Memodelkan Proses Pengingat Pinjaman Pada Koperasi David Diamanta; Alva Hendi Muhammad
Jurnal Bangkit Indonesia Vol 14 No 2 (2025): Bulan Oktober 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i2.458

Abstract

Savings and loan cooperatives are strategic microfinance institutions facing challenges in managing loan reminder processes. XYZ Savings and Loan Cooperative operates manual reminder processes without standard documentation, creating risks of human error and operational inefficiency. This study aims to design Business Process Model and Notation (BPMN) to model and standardize loan reminder processes at XYZ Savings and Loan Cooperative. The research employed a qualitative approach with descriptive analytical methods. Data collection was conducted through direct observation for one month, interviews with the Secretary Department Cooperative Employee, and internal document studies. Business process analysis was performed to understand existing workflows, then modeled into BPMN elements using Bizagi Modeler software. Model validation was conducted through structured questionnaires with 20 validation aspects. BPMN model was successfully designed with two main scenarios namely Friday reminder process as the main process and Monday reminder process with follow-up mechanisms. The model involves three main actors (Cooperative Members, Cooperative Employees, and Cooperative Head) with clear swimlane divisions. The process starts from attendance checking, WhatsApp messaging, phone calls, to coordination for direct visit scheduling. Validation shows perfect conformity of 100% from 20 evaluated aspects. The BPMN model successfully transformed manual processes without documentation into structured and standardized visualization. The study concludes that BPMN implementation can effectively standardize previously manual and undocumented loan reminder processes, producing standard documentation that can be implemented for procedure standardization and new employee literacy, thereby improving operational effectiveness and reducing human error risks in cooperative loan reminder processes.
Implementasi Transfer Learning ResNet-50 dalam Klasifikasi Penyakit Daun Tomat Berbasis CNN Dengen, Christin Soyan; Muhammad, Alva Hendi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7191

Abstract

Tomat merupakan produk pertanian penting di banyak negara, termasuk Indonesia. Namun, penyakit daun tomat dapat berdampak signifikan pada hasil panen dan kualitas tanaman. Oleh karena itu, deteksi dini penyakit sangat penting untuk meningkatkan hasil panen. Dalam penelitian ini, kami menerapkan transfer learning  menggunakan arsitektur ResNet-50 untuk klasifikasi penyakit daun tomat berbasis Convolutional Neural Network (CNN). Dataset yang digunakan berisi 2902 gambar daun tomat yang mencakup 10 kategori termasuk daun sehat dan sembilan jenis penyakit. Proses penelitian meliputi akuisisi data, preprocessing citra dengan augmentasi untuk meningkatkan keragaman dataset, dan pengembangan model menggunakan ResNet-50 untuk ekstraksi fitur. Hasil evaluasi model menunjukkan akurasi keseluruhan sebesar 99%, dengan rata-rata presisi dan perolehan lebih besar dari 0,97 untuk sebagian besar kategori penyakit. Kategori Two-Spotted Spider Mite menunjukkan performa terbaik dengan nilai presisi, recall, dan skor F1 sebesar 1,00. Meskipun terdapat sedikit kesalahan klasifikasi pada beberapa kategori seperti Tomato Yellow Leaf Curl Virus, model tersebut tetap menunjukkan kinerja yang baik dalam mendeteksi keriting daun tomat. Penelitian ini diharapkan dapat memberikan kontribusi terhadap pengembangan sistem deteksi penyakit tanaman berbasis teknologi pengolahan citra yang lebih efisien dan akurat.
DETEKSI SERANGAN SIBER PADA PERANGKAT KESEHATAN BERBASIS WIFI DAN MQTT DENGAN MACHINE LEARNING Pradana, Roymond Chandra; Muhammad, Alva Hendi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7489

Abstract

Perangkat kesehatan yang tergabung dalam Internet of Medical Things (IoMT) rentan terhadap serangan siber, terutama saat menggunakan protokol komunikasi seperti WiFi dan MQTT. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis serangan pada perangkat IoMT serta mengembangkan model deteksi yang efektif berbasis machine learning. Metode yang digunakan meliputi pengumpulan data dari dataset terbuka, preprocessing data, dan penerapan berbagai algoritma machine learning seperti Random Forest, SVM, KNN, LightGBM, SGD Classifier, CatBoost, dan XGBoost. Hasil pengujian menunjukkan model yang dikembangkan memiliki tingkat akurasi tinggi, yakni 99,5% untuk deteksi dua kategori serangan, 91,5% untuk enam kategori, dan 86,9% untuk sembilan belas kategori. Temuan ini membuktikan bahwa machine learning dapat meningkatkan deteksi serangan siber pada perangkat medis secara signifikan. Penelitian ini memberikan kontribusi penting bagi keamanan IoMT dengan menerapkan teknik machine learning yang canggih. Selain itu, studi ini menekankan pentingnya inovasi dalam mendeteksi serangan siber serta memberikan rekomendasi untuk pengembangan algoritma yang lebih efisien di masa depan.
IT GOVERNANCE DESIGN IN IMPROVING THE QUALITY OF DATA AND INFORMATION SECURITY USING COBIT 2019 Setya, Bagus; Muhammad, Alva Hendi; Kurniawan, Mei Parwanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6509

Abstract

This study aims to enhance the quality of data and information security at PT XYZ by developing Information Technology (I.T.) governance based on the C.O.B.I.T. 2019 framework. Data and information security are of utmost importance for Business Continuity in the contemporary digital age, particularly for companies operating in the property development industry, such as PT XYZ. The selection of C.O.B.I.T. 2019 as the framework is based on its comprehensive approach to I.T. governance, encompassing areas such as planning and organizing, acquisition and implementation, delivery and support, and monitoring and evaluation. The objective of this research is to pinpoint deficiencies in existing I.T. governance procedures and provide suggestions for improved measures that may be implemented to strengthen data and information security. The study entails qualitative analysis conducted through comprehensive interviews with essential stakeholders and examination of pertinent documents. An action plan is established based on the findings, which entails deploying an I.T. governance team and formulating more stringent security standards. By implementing the I.T. governance plan derived from C.O.B.I.T. 2019, PT XYZ aims to enhance the quality of data and information security, thus bolstering the company’s long-term viability and expansion
Penerapan IT Strategic Alignment dan IT Governance untuk Mengukur Kematangan Helpdesk Layanan TI Apriadi, Frans Nilwan; Muhammad, Alva Hendi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6276

Abstract

Penelitian ini bertujuan untuk mengukur kematangan Helpdesk Layanan TI pada Diskominfo Kabupaten XYZ melalui penerapan IT Strategic Alignment dan IT Governance. Masalah utama yang diteliti adalah rendahnya efektivitas dan efisiensi Helpdesk Layanan TI, yang berpotensi menghambat kelancaran operasional dan pelayanan publik. Metode yang digunakan melibatkan analisis IT Strategic Alignment untuk memastikan bahwa strategi TI selaras dengan tujuan organisasi, serta penerapan kerangka kerja IT Governance untuk menilai dan meningkatkan kematangan layanan. Penelitian ini menggunakan pendekatan deskriptif dengan pendekatan studi kasus untuk mengevaluasi tingkat kematangan Helpdesk Layanan TI pada Diskominfo Kabupaten XYZ. Tujuan penelitian adalah untuk mendapatkan gambaran tingkat kematangan Helpdesk Layanan TI saat ini, serta memberikan rekomendasi strategis untuk peningkatan layanan. Hasil sementara menunjukkan bahwa tingkat kematangan Helpdesk Layanan TI Diskominfo Kabupaten XYZ berada pada level 2 dari skala 5, yang menunjukkan bahwa proses masih belum memiliki struktur dan prosedur yang solid, dan operasionalnya lebih bersifat mendadak dan berdasarkan kebutuhan saat itu. Temuan ini menekankan perlunya peningkatan dalam pengelolaan TI, termasuk pengembangan prosedur standar operasional, pelatihan staf, dan peningkatan teknologi pendukung. Penelitian ini diharapkan dapat memberikan wawasan yang bermanfaat bagi pengambil keputusan dalam upaya peningkatan Helpdesk Layanan TI di sektor publik, khususnya di Diskominfo Kabupaten XYZ.
ANALYSIS OF INFORMATION TECHNOLOGY GOVERNANCE WITH COBIT 2019 ON THE BAI08 DOMAIN TO IMPROVE HIGHER EDUCATION PERFORMANCE (CASE STUDY: INSTITUT KEGURUAN DAN TEKNOLOGI LARANTUKA) Hewen, Maria Beliti; Muhammad, Alva Hendi; Nasiri, Asro
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6080

Abstract

Information technology governance is essential and must be appropriately managed to fulfill company strategy. Determination of the achievement of the capability level in the information technology governance process at the academic administration bureau at the Institut Keguruan dan Teknologi Larantuka (IKTL) as a case study site. This research aims to analyze the implementation of information technology governance and measure the achievement of capability values using COBIT 2019. The findings of the problem were that an evaluation had never been carried out, and lack of knowledge sharing caused a decrease in the quality of governance, so an evaluation was needed. The research stages help administrative staff responsible for developing and implementing knowledge and presenting information. Information technology management is carried out to facilitate the management, monitoring, and evaluation of each business process and information technology to achieve organizational goals. COBIT 2019 is used to assist organizations in managing and optimizing existing information technology by using factor design to determine important process domains according to the existing circumstances at the institution. Then, the level of capability in the selected domain BAI08 will be analyzed. The results of measuring the level of capability reached a value of 2.25 at level 2 of the expected goals. The solution to overcome the gap is to give recommendations for improving the governance of information technology
Co-Authors Abdul latif Adhien Kenya Estetikha Aditama, Galih Agung Harimurti, Agung Agus Purwanto Ahmad Yusuf Alif Syaiful Huda Ananda Fikri Akbar Andi Sunyoto Anggit Dwi Hartanto Anggrainy, Shynta Eza Annisa Hestiningtyas Apriadi, Frans Nilwan Arief Rahman Hakim Arief Setyanto Arif Baktiar Ariningsih, Puji Arsad Arta Perdana, Bagus Gede Asro Nasiri Asro Nasiri A’yuni, Ashlih Qurota Baiq Yulia Fitriyani Bambang Soedijono Bambang Soedijono W.A Bambang Soedijono W.A Bambang Soedijono, Bambang Bernadhed, Bernadhed Bismar Rifki wahyu Prasetya Chaedar Fatach, Muhamad Reza Danu Prawira Utama David Diamanta Dengen, Christin Soyan DHANI ARIATMANTO Dhani Ariatmanto Eka Sakti, Putra Utama Eko Pramono Ema Utami Fauzi, Moch Farid Fitriyani, Baiq Yulia Hanafi Hanafi Harahap, Muhammad Sya'ban Haris, Ruby Hasan, Nurul Rahmawati Hasibuan, M. Rivai Hery Priandoko Hewen, Maria Beliti I Gusti Ngurah Wikranta Arsa Arsa Ilham Setya Budi Irawan, Hafizhan Irawan, Ridwan Dwi Irwan Oyong Jangkung Tri Nygroho Jeki Kuswanto Joko Dwi Santoso Juslan, Wulandari kurniawan, Ade Kurniawan Kusnawi Kusnawi Kusrini Kusrini, K Leo, Donatus Lubna Lubna Malik, Husni Hidayat Maradona, Maradona MEI PARWANTO KURNIAWAN Muh Adha Muhamad Rodi Muhammad Husein Budiraharjo Muhammad Imam Munandar Muhartini, Sitti Muktafin, Elik Hari Nadya Chitayae Nasiri, Asro Nor Riduan Novel Adil Dwijaksana Nugroho, Hanantyo Sri Nur Aini Nur Aziz Nugroho Pradana, Roymond Chandra Prasetya, Bismar Rifki wahyu Prasetya, Rendra Prima Giri Pamungkas Raynold, Raynold Razaq, Thata Authar Richki Hardi Rifqi Anugrah Robert Marco, Robert Rosady, Melinne Maldini Roymond Chandra Pradana Saputra, Mahmuda Setiajid, Bayu Setya, Bagus Simanjuntak, Nurcahaya Sofian Dwi Hadiwinata Suparyati Suparyati Suseno, Hari Budhi Taryoko, Taryoko TONNY HIDAYAT Ula, M. Izul Verawati, Ike Wahyunia Ningsih Syam Widodo, Cynthia Wiwi Widayani, Wiwi Yana Hendriana Yossy Ariyanto Zakiri, Hasani Zitnaa Dhiaaul Kusnaa Washilatul Arba'ah Zitnaa Dhiaaul KWA Zubaedi, Umam Faqih