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All Journal Jurnal Media Infotama JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Informatika dan Teknik Elektro Terapan Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Artificial Intelligence and Data Mining JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat To Maega: Jurnal Pengabdian Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi bit-Tech Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Abdi Insani TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Advanced in Information and Industrial Technology (JAIIT) Nusantara Science and Technology Proceedings Kalam Cendekia: Jurnal Ilmiah Kependidikan Journal of Information System and Technology (JOINT) TIERS Information Technology Journal International Journal of Data Science, Engineering, and Analytics (IJDASEA) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Iqtisaduna COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Informatika Teknologi dan Sains (Jinteks) Concept: Journal of Social Humanities and Education JIKTI : Jurnal Ilmiah Komputer Terapan dan Informasi Mujtama': Jurnal Pengabdian Masyarakat Journal of Artificial Intelligence and Digital Business TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi ILTEK : Jurnal Teknologi Jurnal Elektronika dan Teknik Informatika Terapan Modem : Jurnal Informatika dan Sains Teknologi Joong-Ki Jurnal Informatika Dan Tekonologi Komputer
Muhammad Muharrom Al Haromainy
Universitas Pembangunan Nasional Veteran Jawa Timur
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IMPLEMENTASI ARSITEKTUR EFFICIENTNETB2 UNTUK KLASIFIKASI CITRA DAUN HERBAL Oktaviana, Dinda Friska; Junaidi, Achmad; Al Haromainy, Muhammad Muharrom
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.257

Abstract

Daun herbal telah lama dimanfaatkan sebagai bahan pengobatan tradisional di Indonesia, namun proses identifikasi jenisnya sering menjadi tantangan akibat keterbatasan pengetahuan masyarakat dan kemiripan visual antar daun herbal. Penelitian ini bertujuan menguji performa model klasifikasi daun herbal untuk memperoleh akurasi optimal. Metode yang digunakan adalah CNN dengan arsitektur EfficientNetB2 untuk mengklasifikasikan citra sepuluh jenis daun herbal Indonesia. Dataset merupakan gabungan data primer dan sekunder, yang kemudian dibagi menjadi 80:20 untuk pelatihan dan pengujian. Tiga skenario jumlah epoch diterapkan, yaitu 10, 20, dan 30, dengan konfigurasi tiga hidden layer yang masing-masing berisi 128 neuron. Hasil pengujian menunjukkan bahwa konfigurasi terbaik diperoleh pada skenario 30 epoch dengan akurasi rata-rata mencapai 99,09%. Nilai presisi, recall, dan f1-score pada skenario ini masing-masing sebesar 99%, menunjukkan kinerja yang sangat tinggi dan konsisten. Selisih performa antar skenario pengujian tergolong tipis, sehingga setiap konfigurasi mampu memberikan hasil yang kompetitif. Selain itu, model berhasil membedakan jenis daun dengan kemiripan visual tinggi secara akurat. Dengan demikian, EfficientNetB2 berhasil mencapai akurasi optimal untuk klasifikasi citra daun herbal.
PENGEMBANGAN SISTEM INFORMASI CLUB RENANG DENGAN METODE KLASIFIKASI DECISION TREE UNTUK PENENTUAN KELAS PENDAFTARAN BARU : Studi Kasus: Banyu Pratama swimming Club Cilacap Lusian Nandang Arjamulia; Chrystia Aji Putra; Muhammad Muharrom Al Haromainy
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 3 (2023): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i3.1990

Abstract

The increase development of information technology has had many impact on various aspects including sports. Management of digitalized sports clubs can make the system more accessible and well documented. The swimming club information system with new registration class classifications is made based on the club requirement. The class determination system was created to facilitate class classification for new members so as not to harm the monthly dues and training portion. The decision tree algorithm is used in making class classification models. Variables for making classifications were obtained based on the number of achievements, 50m freestyle time, mastered style and training distance with three classes namely beginner, semi-achievement and achievement. The classification with C4.5 algorithm, produces an accuracy of 100%. This mean that the C4.5 algorithm can classify new registration classes well.
PREDICTION OF MULTIVARIATE TIME SERIES DATA USING ECHO STATE NETWORK AND HARMONY SEARCH Muhammad Muharrom Al Haromainy; Chastine Fatichah; Ahmad Saikhu
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 19, No. 2, Juli 2021
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i2.a1051

Abstract

Multivariate time series data prediction is widely applied in various fields such as industry, health, and economics. Several methods can form prediction models, such as Artificial Neural Network (ANN) and Recurrent Neural Network (RNN). However, this method has an error value more significant than the development method of RNN, namely the Echo State Network (ESN). The ESN method has several global parameters, such as the number of reservoirs and the leaking rate. The determination of parameter values dramatically affects the performance of the resulting prediction model. The Harmony Search (HS) optimization method is proposed to provide a solution for determining the parameters of the ESN method. The HS method was chosen because it is easier to implement, and based on other research, the HS method gets the optimum value better than other meta-heuristic methods. The methods compared in this study are RNN, ESN, and ESN-HS. Root Mean Square Error (RMSE) and Mean Absolute Percent Error (MAPE) are used to measure the error rate of forecasting results. ESN got a smaller error value than RNN, and ESN-HS produced a minor error value among the other trials, namely 0.782e-5 for RMSE and 0.28% for MAPE. The HS optimization method has successfully obtained the appropriate global parameters for the ESN prediction model.
PEMANFAATAN APLIKASI ELSA SPEAK DALAM MENINGKATKAN KEMAMPUAN SPEAKING SECARA AKTIF DI PONDOK PESANTREN BAITUL QUR’AN KREMBUNG-SIDOARJO Purnomo, Ryan; Haromainy, Muhammad Muharrom Al; Wardono, Mohammad Setyo
Jurnal Abdi Insani Vol 12 No 11 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i11.3253

Abstract

The most difficult part of English for students is pronunciation. Pronunciation is considered one of the keys to successful speaking. Because of its importance, students often struggle to master it. Therefore, the purpose of this community service activity was to provide an interactive and enjoyable pronunciation learning method using the ELSA Speak application. This community service activity was conducted at the Baitul Qur'an Islamic Boarding School in Krembung, Sidoarjo. Participants were students and teachers from the same Islamic boarding school. This training activity aimed to improve speaking skills through the use of the application. The authors used pre- and post-tests to assess the effectiveness of the ELSA Speak application. Data were collected through tests, questionnaires, and interviews to evaluate students' abilities and perceptions. The results showed that the ELSA Speak application was effective in improving pronunciation, as indicated by higher scores on the application assessment after the post-test compared to the pre-test. Furthermore, questionnaire responses strongly indicated that students considered the ELSA Speak application an effective method for learning pronunciation. This application can help students improve their pronunciation skills compared to before.  
Klasifikasi Citra Tulisan Tangan Aksara Sunda Berbasis Inception-ResNetV2 dengan Transfer Learning Paramitha, Clara Diva; Junaidi, Achmad; Al Haromainy, Muhammad Muharrom
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.258

Abstract

Aksara Sunda adalah aksara yang semakin jarang digunakan sehingga masyarakat awam sering tidak familiar dengan bentuknya, terutama saat membaca tulisan tangan yang selalu memiliki variasi tergantung penulisnya sehingga ada keterbatasan dalam mengenali bentuknya. Penelitian ini berfungsi untuk menguji performa model deep learning untuk tugas klasifikasi 23 kelas Aksara Sunda serta menguji kombinasi model terhadap berbagai parameter agar dapat memberikan hasil optimal. Penelitian ini menggunakan Inception-ResNetV2 yang dikombinasikan dengan metode fine-tuning transfer learning untuk diuji terhadap tiga optimizer dan learning rate sebanyak 20 epoch. Data pada penelitian ini gabungan dari data GitHub dan data pengumpulan mandiri. Pengujian ini menggunakan rasio 80:20 untuk data latih dan data uji. Optimizer yang diuji adalah SGD, Adam, dan RMSProp. Hasil pengujian menunjukkan bahwa tiap-tiap optimizer mampu memberikan hasil teroptimalnya pada parameter tertentu. Melihat skor performa, RMSProp 0.0001 berhasil mencapai nilai akurasi data uji tertinggi pada 99.15%, diikuti oleh SGD 0.01 dengan akurasi data uji 98.66%, lalu disusul Adam 0.0001 dengan akurasi data uji 96.61%. Akan tetapi, melihat grafik kurva, optimizer SGD lebih stabil dibandingkan RMSProp—yang mengalami guncangan di awal—ataupun Adam—yang mengalami gejala overfitting ringan. Hasil kontradiktif ini dapat menjadi pembelajaran untuk penelitian selanjutnya.
IMPLEMENTASI METODE K-MEANS DAN HARMONY SEARCH UNTUK MENYEDERHANAKAN DATA PADA CREDIT SCORE Anita Puspitasari; Eka Prakarsa Mandyartha; Muhammad Muharrom Al Haromainy
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6952

Abstract

Credit Score merupakan sebuah penilaian yang digunakan untuk memperkirakan risiko kredit. Penelitian ini dilakukan dengan tujuan untuk menyederhanakan data serta meningkatkan akurasi prediksi pada Credit dengan menggunakan metode K-Means dan Harmony Search. K-Means digunakan untuk mengelompokkan fitur berdasarkan korelasi jarak (Distance -based) guna untuk mengurangi redundansi dan menemukan fitur paling representatif. Selanjutnya, Harmony Search digunakan untuk mencari kombinasi fitur terbaik terhadap target prediksi dengan menyesuaikan kombinasi parameter HMS, HMCR, dan PAR. Untuk evaluasi kinerja model dilakukan menggunakan Linear Regression dengan nilai metrik MAPE, . Hasil penelitian menunjukkan bahwa kombinasi parameter terbaik yaitu HMS = 30, HMCR = 0.7, PAR = 0.1. Hal ini dilihat dari evaluasi kinerja model yang menghasilkan 10 fitur dengan metrik MAPE sebesar 3.4%, dan sebesar 0.84. Metode ini terbukti mampu meningkatkan akurasi dan efisiensi komputasi dibandingkan model tanpa seleksi fitur. Dengan demikian, kombinasi metode K-Means dan Harmony Search terbukti efektif dalam menyederhanakan data serta meningkatkan kinerja model pada Credit Score.
Peningkatan Kinerja Algoritma FP-Growth Untuk Analisis Pola Pembelian Pelanggan Menggunakan Algoritma Optimasi Tabu Search Nurrahman, Sintya Fadillah; Via, Yisti Vita; Al Haromainy, Muhammad Muharrom
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9227

Abstract

Along with the rapid development of technology, the volume and scale of data stored by business entities continue to increase, particularly sales transaction data that contain valuable information to support decision-making and business development. Therefore, this study aims to analyze customer purchasing patterns by combining the Tabu Search and FP-Growth algorithms. Tabu Search is applied as a preprocessing stage to filter and sort transaction data before further analysis using the FP-Growth algorithm as an association analysis method. The results of applying these algorithms are association rules that represent relationships among items and can be used as a basis for business decision-making. The evaluation is conducted using support, confidence, and lift metrics to assess the strength of the generated rules, as well as execution time and the number of itemsets to compare the performance of FP-Growth with and without Tabu Search. The experimental results show that Tabu Search is able to effectively filter itemsets, where at a minimum support value of 0.01 the number of itemsets is reduced from 1,390 to 237, and at a minimum support value of 0.1 from 64 to 34. Although the combination of Tabu Search and FP-Growth requires a longer execution time due to the iterative process of Tabu Search, the resulting patterns are more focused, demonstrating the effectiveness of Tabu Search in improving the efficiency and quality of customer purchasing pattern analysis.
Pelatihan Mitigasi Bencana Gempa dan Kebakaran Siswa Madrasah Aliyah Jabal Noer Widowati, Elok; Muharrom Al-Haromainy, Muhammad; Alghiffary, Rizqi; Fauzan Akbari, Muhamad; Dwi Sutrisno, Rahmat
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 10 No 1 (2026): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v10i1.28421

Abstract

Indonesia merupakan negara dengan tingkat kerawanan tinggi terhadap bencana alam, khususnya gempa bumi dan kebakaran, karena letaknya di pertemuan tiga lempeng tektonik dunia. Kondisi ini menuntut adanya kesiapsiagaan yang memadai, terutama di lingkungan sekolah yang padat aktivitas. Madrasah Aliyah Jabal Noer Sidoarjo memiliki bangunan bertingkat dengan akses evakuasi yang terbatas, lorong sempit, serta minimnya fasilitas proteksi kebakaran, sehingga menimbulkan kerentanan tinggi apabila terjadi bencana. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pengetahuan, keterampilan, dan sikap siswa serta guru dalam menghadapi potensi gempa bumi dan kebakaran. Metode yang digunakan berupa survei kondisi eksisting bangunan, penyusunan dan pemasangan peta jalur evakuasi, pemasangan rambu dan poster himbauan, sosialisasi materi kebencanaan, demonstrasi penggunaan Alat Pemadam Api Ringan (APAR), serta evaluasi melalui pre-test dan post-test. Hasil kegiatan menunjukkan peningkatan signifikan pada hampir seluruh aspek, meliputi pemahaman definisi mitigasi, prosedur evakuasi, titik kumpul, pemakaian APAR, serta kesadaran akan keselamatan dan kesehatan kerja. Siswa juga menunjukkan sikap lebih positif terhadap pentingnya pelaksanaan simulasi bencana secara rutin. Dengan demikian, program pelatihan ini berhasil mencapai tujuan pengabdian sekaligus menumbuhkan budaya sadar bencana yang berpotensi berkelanjutan di lingkungan sekolah.
PENGUATAN KAPASITAS GURU DAN SANTRI MELALUI IMPLEMENTASI SISTEM PENDIDIKAN DIGITAL DI PONDOK PESANTREN PPAI DARUN NAJAH 2 MALANG Haromainy, Muhammad Muharrom Al; Nurlaili, Afina Lina; Purnomo, Ryan; Christianty, Theressa Marry; Abadi, Luthfiyana Mahrurin
Jurnal Abdi Insani Vol 13 No 1 (2026): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v13i1.3292

Abstract

The development of digital technology has driven significant changes in modern education systems, including religious-based institutions such as Islamic boarding schools. As Islamic educational institutions, pesantren are required to adapt to digitalization to improve institutional management and learning processes effectively. This digital transformation involves not only the adoption of technology but also the enhancement of human resource capacity within the institution. Therefore, the readiness of teachers and students becomes a crucial factor to ensure that digital education can be implemented optimally. This program aims to strengthen the capacity of teachers and students through the implementation of a digital education system at the Islamic Boarding School PPAI Darun Najah 2 Malang. The strengthening effort includes improving teachers’ technical abilities in using digital administrative and learning systems, as well as expanding students’ digital literacy. A total of 20 teachers participated in this program, while the number of students involved in the mentoring process reached 250. All objectives are directed toward encouraging the pesantren to transform into an educational institution that is responsive to technological advancements. The community service activities were carried out through phases of needs analysis, system design, and implementation of digital features such as the new student registration system, inventory system, e-learning platform, and library website. This process was continued with socialization for teachers and training sessions on digital literacy and the introduction of artificial intelligence technology for students. The results of the program showed a significant increase in digital competence among teachers after completing the training activities. Their initial understanding, which averaged 72.67%, increased to 98% following the system implementation and mentoring sessions. Teachers were able to operate the registration, inventory, and e-learning systems with greater confidence and accuracy. Furthermore, students gained new insights into the basic concepts of AI and its relevance to education and everyday life. This increase in knowledge also fostered higher learning motivation and a growing interest in digital technology among the students. In conclusion, the implementation of the Digital Education System in the pesantren has proven effective in improving administrative management, expanding access to learning, and strengthening the digital literacy of both teachers and students.
Cloud-Based High Availability Architecture Using Least Connection Load Balancer and Integrated Alert System Prinafsika; Achmad Junaidi; Muhammad Muharrom Al Haromainy
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2520

Abstract

Ensuring optimal service continuity remains a critical challenge in cloud computing, especially when dealing with high traffic loads and system failure potential that can cause losses. To address this, this research presents the implementation of a high availability (HA) cloud system using the Least Connection load balancing algorithm implemented with Nginx, integrated with early anomaly detection and alert mechanisms. The HA architecture is implemented across two geographically distributed cloud service providers, Alibaba Cloud and Google Cloud, to analyze latency and performance differences under high load conditions. The system's resilience and scalability were evaluated through load testing using K6, simulating workloads ranging from 100 to 1000 Virtual Users (VUs) for single server configurations and 200 to 2000 VUs for HA configurations. The experiment results showed a significant improvement in service availability, reaching 100% uptime with the HA configuration compared to a peak of 98.79% in the single server environment. The Least Connection strategy effectively balanced traffic by monitoring active connections, resulting in a 29.73% increase in processed requests and a 42% reduction in system load at 1000 VUs. Additionally, the alert system successfully sent real-time Telegram notifications for delays or failures, enabling proactive mitigation. These results confirm that combining dynamic load balancing with proactive alerts can significantly improve service reliability, resource efficiency, and resilience to failures in distributed cloud infrastructure providing a viable model for robust and scalable cloud service architectures.
Co-Authors Abadi, Luthfiyana Mahrurin Abdillah, Ikhwan Abdul Rezha Efrat Najaf Achmad Andrian Maulana Achmad Junaidi Achmad Rozy Priambodo Afina Lina Nurlaili Afina Lina Nurlaili Afina Lina Nurlaili Agung Mustika Rizki, Agung Mustika Agus Wibowo Agus Zainal Arifin Ahmad Saikhu Akbar, Fawwaz Ali Al Fatih, Abdullah Alghiffary, Rizqi Almanfakulti, Istian Kriya Alya Izzah Zalfa Rihadah Ramadhani Nirwana Putri Ananda Ayu Puspitaningrum Andreas Nugroho Sihananto Angga Lisdiyanto Anggraini Puspita Sari Anita Puspitasari Annisa Dwi Puspitarini Anugerah, Rico Putra Ardiyansyah, Moh. Angga Arrisalah, Muhammad Baihaqi ASHARI, FAISAL Avi Sunani Aviolla Terza Damaliana Azira, Volem Alvaro Azira Basuki Rahmat Masdi Siduppa Bima Arya Kurniawan Boyas, Jeziano Rizkita Budi Nugroho Budi Nugroho Chairil, Augustin Mustika Chastine Fatichah Christianty, Theressa Marry Darmawan, Marcellinus Aditya Vitro Dwi Arman Prasetya Dwi Arman Prasetya Dwi Arman Prasetya Dwi Sutrisno, Rahmat Edi Sugiyanto Eka Prakarsa Mandyartha Eva Yulia Puspaningrum Fania Imelda Safitri Faris Syaifulloh Farkhan Fauzan Akbari, Muhamad Fauzi, Zaky Ahmad Ferry Trilaksana Putra Fetty Tri Anggraeny Firza Prima Aditiawan Fitrani, Laqma Dica Fitriyah, Nur Nafisatul Gusti Eka Yuliastuti Hajjar, Debrina Octrisya Hardiansyah, In Naka Malik Hidra Amnur I Wayan Alston Argodi Kartini Kartini Kevin Iansyah Kurnia, Lusi Kusuma Wardani, Amalia Dwi Lailatul Musyaffaah Lina Nurlaili, Afina Lintang Putri Permatasari Lisdiyanto, Angga Lusian Nandang Arjamulia Maulana Herza, Fakhri Maulana, Hendra Maulana, Vieri Arief Mohammad Setyo Wardono Muhammad Albert Nur Agathon Muhammad Daffa Arifin Muhammad Izdihar Alwin Mulyo, Budi Mukhamad Muzdalifah, Nayani Alya Aquila Nia Dwi Puspitasari Nurlaili, Afina Lina Nurrahman, Sintya Fadillah Oktaviana, Dinda Friska Pakpahan, Fredrik Sahalatua Panjaitan, Tompo Paramitha, Clara Diva Permatasari, Reisa Pratama Wirya Atmaja Prinafsika Purnomo, Ryan Putra, Chrystia Aji Putra, Gredy Christian Hendrawan Raden Kokoh Haryo Putro Rafie Ishaq Maulana Rahmawan, Ganal Arief Retno Mumpuni Reza, Reno Alfa Rifqi, Mohammad Habim Hazidan Riza Satria Putra Rizka Fadhillah, Irnanda Ryan Purnomo Samodera, Bayu Sari, Rizky Buana Satrio, Deva Dwi Setyawan, Dimas Ari Shalehuddin Albawani, Raden Siregar, Talitha Aurora Nadenggan Sujayanti, Forentina Kerti Pratiwi Suprapti Suprapti Taufiqqurrahman, Husain Tri Septianto Trimono, Trimono Triyana, Dimas Volem Alvaro Azira Azira Wahyu Eko Pujianto Wahyu Fahrul Ridho Wahyu Gunawan, Rafif Ilafi Wahyu Syaifullah JS Waluya, Onny Kartika Waskito, Achmad Derajat Wibisono, Al Danny Rian Widowati, Elok Winarti ., Winarti Yisti Vita Via