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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 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 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 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 Concept: Journal of Social Humanities and Education JIKTI : Jurnal Ilmiah Komputer Terapan dan Informasi Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 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 Website Monitoring Pembayaran Siswa dengan Metode Prototyping dan Regresi Logistik Biner Siregar, Talitha Aurora Nadenggan; Nurlaili, Afina Lina; M. Muharrom Al Haromainy
Journal of Information System and Technology (JOINT) Vol. 6 No. 1 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i1.10358

Abstract

Pengelolaan pembayaran siswa yang tidak terstruktur seringkali menimbulkan masalah seperti kehilangan data dan kesulitan pemantauan. Penelitian ini bertujuan untuk mengembangkan aplikasi monitoring pembayaran siswa berbasis web di SMK Batik Sakti 2 Kebumen dan mengimplementasikan fitur prediksi keterlambatan pembayaran. Aplikasi ini dirancang menggunakan metode Prototyping dan dibangun dengan framework Laravel serta database MySQL. Fitur prediksi keterlambatan dikembangkan menggunakan algoritma Regresi Logistik Biner, yang dilatih dengan delapan variabel independen. Hasil pengujian menunjukkan bahwa model prediksi mencapai akurasi 93.75% pada data pelatihan dan 90% pada data validasi, serta aplikasi ini efektif membantu pengelolaan data pembayaran siswa.
OPTIMASI ALGORITMA K-NEAREST NEIGHBOR DENGAN ALGORITMA GENETIKA PADA DETEKSI PENYAKIT DIABETES MELLITUS Darmawan, Marcellinus Aditya Vitro; Haromainy, M. Muharrom Al; Junaidi, Achmad
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.11353

Abstract

This study discusses the optimization of the K-Nearest Neighbor (KNN) algorithm using Genetic Algorithm (GA) in detecting diabetes mellitus. The research includes stages of collecting datasets on diabetes mellitus symptoms, data preprocessing through normalization and dataset alignment, model implementation, and testing with various scenarios to achieve the highest accuracy. The data used consists of the Pima Indians Diabetes Database as dataset 1 and the Early Stage Diabetes Risk Prediction Dataset as dataset 2. The evaluation is conducted by comparing the accuracy results between KNN without optimization and KNN optimized using Genetic Algorithm. The study's results indicate that optimization is performed by finding the optimal combination of the k-value and the features used in classification. The Genetic Algorithm produces individuals with the best fitness based on the combination of k-values and features that yield the highest accuracy. Testing was conducted on two datasets with two different fold values. The best accuracy was obtained in the 10-fold test, where the accuracy for dataset 1 increased from 74.2% to 79.1% after optimization. Meanwhile, for dataset 2, the accuracy improved from 97.5% to 98.2% after optimization. There was an increase in accuracy for dataset 1, whereas for dataset 2, the improvement was not significant. The conclusion of this study is that optimizing the KNN algorithm using Genetic Algorithm has proven to enhance the accuracy of diabetes mellitus detection, especially in numerical datasets with more complex features.
PREDICTION OF MULTIVARIATE TIME SERIES DATA USING ECHO STATE NETWORK AND HARMONY SEARCH Al Haromainy, Muhammad Muharrom; Fatichah, Chastine; Saikhu, Ahmad
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.
IMPLEMENTASI METODE EXTREME PROGRAMMING PADA PEMBUATAN SISTEM INFORMASI PKL DAN PENGUJIAN WHITE BOX SERTA COMPUTER SYSTEM USABILITY QUESTIONNAIRE (CSUQ) Al Fatih, Abdullah; Muharrom Al Haromainy, Muhammad; Lina Nurlaili, Afina
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13514

Abstract

Perkembangan teknologi informasi telah mendorong peningkatan efisiensi di berbagai sektor, termasuk dalam pengelolaan Praktik Kerja Lapangan (PKL) di perguruan tinggi. Namun, pengelolaan data PKL yang melibatkan banyak pihak seperti mahasiswa, dosen, dan admin masih menghadapi kendala dalam hal efisiensi dan integrasi sistem. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi PKL yang dapat mengotomatisasi dan menyederhanakan proses administratif PKL. Metode yang digunakan dalam penelitian ini adalah Extreme Programming (XP) untuk pengembangan perangkat lunak dan White Box Testing untuk pengujian sistem. Selain itu, evaluasi kegunaan sistem dilakukan menggunakan Computer System Usability Questionnaire (CSUQ). Hasil penelitian menunjukkan bahwa sistem informasi PKL yang dikembangkan dapat mengatasi permasalahan operasional dan meningkatkan produktivitas kegiatan PKL dengan baik. Berdasarkan hasil survei CSUQ, skor rata-rata kepuasan pengguna adalah 6,19, yang menunjukkan tingkat kepuasan yang tinggi. Namun, terdapat area yang perlu perbaikan, terutama dalam aspek antarmuka pengguna. Sistem ini diharapkan dapat memberikan kontribusi dalam operasional kegiatan PKL di lingkungan prodi informatika Universitas Pembangunan Nasional Veteran Jawa Timur.
Cloud-Based High Availability Architecture Using Least Connection Load Balancer and Integrated Alert System Prinafsika; Junaidi, Achmad; Muharrom Al Haromainy, Muhammad
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.
Application of IoT-based Intelligent Control Devices Empowered with Fuzzy Inference System in the Garment Industry Rizki, Agung Mustika; Ashari, Faisal; Yuliastuti, Gusti Eka; Haromainy, Muhammad Muharrom Al; Aditiawan, Firza Prima; Amnur, Hidra
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3344

Abstract

The garment industry in Indonesia has experienced significant development in recent years. A critical aspect of this development is the increasing role of Micro, Small, and Medium Enterprises (MSMEs). Swari Garment Industries (SGI) is an example of an MSME that focuses on the garment sector. In practice, various problems and negligence can affect the course of the production process. One potential issue is using the machine inappropriately or excessively, which can lead to a short electrical circuit. Short electrical circuits are one of the problems that must be faced because they can cause various severe impacts, including equipment damage and even fire. Based on this risk analysis, a possible solution to be applied to SGI, one of the MSMEs in the garment sector, is the implementation of an intelligent control device. The implementation of intelligent control tools based on the Internet of Things (IoT) can enhance the efficiency of the production process and mitigate significant risks to workers and the environment. The Fuzzy Inference System, in which the equity, temperature, and humidity are the input values of the Intelligent Control Device. A hardware device for temperature and humidity control, accessible through an Android phone application, was implemented in SGI. Experiments have verified that we can achieve excellent results. The average percentage of temperature measurement error was 0.2% and for humidity, 0.26%. The average percentage of measurement error from the comparison between the system and MATLAB is 0.49%.
PENGEMBANGAN SISTEM REKOMENDASI UNTUK SIMULASI RAKIT KOMPUTER MENGGUNAKAN ALGORITMA GENETIKA BERBASIS WEBSITE Maulana, Vieri Arief; Haromainy, Muhammad Muharrom Al; Nurlaili, Afina Lina
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 7 No 2 (2025): September 2025
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v7i2.491

Abstract

This research develops a web-based recommendation system for computer assembly simulations using genetic algorithms. The system is designed to assist users in selecting optimal computer components based on their available budget and desired performance. Component data were collected from e-commerce platforms and online sources, then preprocessed using Min-Max normalization to ensure balanced data scaling. The system was developed using Laravel for the frontend interface and Flask API for computational processing of the genetic algorithm. System evaluation was conducted using the System Usability Scale (SUS) method involving 21 respondents, resulting in an average score of 86.67, which falls into the "Excellent" category and Grade B on the usability scale. Additionally, performance comparisons with prebuilt systems from online stores show that the recommendation system produced assemblies with lower costs and higher performance. The implementation of selection, crossover, and mutation in the genetic algorithm effectively evaluates component combinations to achieve optimal configurations. This research contributes to the development of intelligent optimization-based systems that simplify the computer assembly process, particularly for novice users with limited technical knowledge and constrained budgets.
Penguatan Layanan Pengadaan Barang dan Jasa melalui Digitalisasi Perencanaan dan Penunjukan Langsung Berbasis Web di UPN “Veteran” Jawa Timur Puspitasari, Nia Dwi; Haromainy, Muhammad Muharrom Al; Putro, Raden Kokoh Haryo
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 1: November 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v5i1.11402

Abstract

Digitalisasi dalam pengadaan barang dan jasa menjadi langkah strategis. Kegiatan pengabdian kepada masyarakat ini difokuskan pada pengembangan sistem informasi perencanaan dan penunjukan langsung berbasis web di Unit Pengelolaan Pengadaan Barang dan Jasa (UPPBJ) UPN “Veteran” Jawa Timur. Program ini dilatarbelakangi oleh kebutuhan untuk mengoptimalkan proses pengadaan yang sebelumnya dilaksanakan secara manual dan memakan waktu. Metode yang digunakan adalah pendekatan partisipatif community-based system development, yang menempatkan mitra sebagai aktor aktif dalam setiap tahapan, mulai dari analisis kebutuhan, perancangan, implementasi, hingga evaluasi. Hasil implementasi menunjukkan peningkatan efisiensi input data hingga 40% dan skor SUS rata-rata 82 (kategori excellent). Evaluasi kepuasan pengguna mengindikasikan peningkatan signifikan pada indikator efisiensi (88%), transparansi (91%), kemudahan akses (85%), dan keandalan informasi (89%). Program ini tidak hanya menghasilkan sistem yang fungsional, tetapi juga meningkatkan kapasitas sumber daya manusia mitra dalam mengelola proses pengadaan secara digital. Rekomendasi pengembangan di masa mendatang mencakup integrasi dengan e-Katalog dan modul e-payment untuk memperkuat keterpaduan sistem.
Rancang Bangun Difabel Experience Management Learning bagi Anak Berkebutuhan Khusus pada Sekolah Luar Biasa Sasanti Wiyata: Designing Difabel Experience Management Learning for Children with Special Needs at Sasanti Wiyata Special School Sunani, Avi; Chairil, Augustin Mustika; Al Haromainy, Muhammad Muharrom; Hardiansyah, In Naka Malik; Christianty, Theressa Marry; Waskito, Achmad Derajat
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 12 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i12.8305

Abstract

Sasanti Wiyata Special School (SLB) is one of the special schools in Surabaya that has students with special needs. The results from the focus group discussion revealed the partners' issues, namely the lack of utilization of information and communication technology and the insufficient digital learning experiences for children with special needs. This community service activity aims to enhance the partners' skills in using digital-based learning methods and to improve the abilities of students with special needs in utilizing digital technology for learning. The method of implementing this community service is carried out by providing training, assistance, and evaluation of activities. The training and mentoring were measured using pre-tests and post-tests. The pre-tests and post-tests were processed using descriptive statistics, which showed an improvement in the understanding and skills of the teachers in creating, using, and integrating learning materials on the DXML (Difabel Experience Management Learning) platform. This platform serves as a tool that integrates the Learning Management System (LMS) and the Learning Experience Platform (LXP). The advantage (value proposition) of the synergy between the implementation of LMS and LXP is the customizable DXML that can be tailored to the characteristics of children with special needs at SLB Sasanti Wiyata, specifically those who are hearing impaired and intellectually disabled. From this activity, an increase in the skills of teachers and students in using the DXML digital platform was achieved, making the teaching and learning process easier. Therefore, this community service needs to be carried out continuously.
Penggunaan Algoritma Fuzzy Simple Additive Weighting (F-Saw) Sebagai Pendukung Keputusan Dalam Prioritas Pembagian Zakat Fitrah Muhammad Daffa Arifin; Wahyu Syaifullah JS; Muhammad Muharrom Al Haromainy
Concept: Journal of Social Humanities and Education Vol. 3 No. 3 (2024): September : Concept: Journal of Social Humanities and Education
Publisher : Sekolah Tinggi Ilmu Administrasi Yappi Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/concept.v3i3.1398

Abstract

Zakat fitrah is an obligation for every capable Muslim to purify oneself and one's wealth. Determining the priority of zakat fitrah recipients often becomes a challenge due to various factors that must be considered. This research aims to use the Fuzzy Simple Additive Weighting (F-SAW) algorithm as a decision support tool in determining the priority for distributing zakat fitrah. By using the F-SAW method, it is hoped that the prioritization process can be more objective and efficient..
Co-Authors Abdillah, Ikhwan Abdul Rezha Efrat Najaf Achmad Junaidi Afina Lina Nurlaili Agung Mustika Rizki, Agung Mustika Agus Wibowo Agus Zainal Arifin Ahmad Saikhu Al Fatih, Abdullah Andreas Nugroho Sihananto Andreas Nugroho Sihananto Angga Lisdiyanto Anggraini Puspita Sari Annisa Dwi Puspitarini Anugerah, Rico Putra ASHARI, FAISAL Avi Sunani Aviolla Terza Damaliana Azira, Volem Alvaro Azira Basuki Rahmat Masdi Siduppa Budi Nugroho Budi Nugroho Chairil, Augustin Mustika Chastine Fatichah Christianty, Theressa Marry Darmawan, Marcellinus Aditya Vitro Dwi Arman Prasetya Dwi Arman Prasetya Edi Sugiyanto Eka Prakarsa Mandyartha Eva Yulia Puspaningrum Fania Imelda Safitri Faris Syaifulloh Farkhan Fauzi, Zaky Ahmad Fetty Tri Anggraeny Firza Prima Aditiawan Fitrani, Laqma Dica Ganal Arief Rahmawan Gusti Eka Yuliastuti Hajjar, Debrina Octrisya Hardiansyah, In Naka Malik Hidra Amnur I Wayan Alston Argodi Istian Kriya Almanfakulti Jeziano Rizkita Boyas Kartini Kartini 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 Muhammad Daffa Arifin Muhammad Izdihar Alwin Muzdalifah, Nayani Alya Aquila Nia Dwi Puspitasari Nur Nafisatul Fitriyah Nurlaili, Afina Lina Oktaviana, Dinda Friska Panjaitan, Tompo Permatasari, Reisa Pratama Wirya Atmaja Prinafsika Purnomo, Ryan Putra, Chrystia Aji Putra, Gredy Christian Hendrawan Raden Kokoh Haryo Putro Reza, Reno Alfa Rizka Fadhillah, Irnanda Ryan Purnomo Ryan Purnomo Samodera, Bayu Sari, Rizky Buana Setyawan, Dimas Ari Shalehuddin Albawani, Raden Siregar, Talitha Aurora Nadenggan Sujayanti, Forentina Kerti Pratiwi Sunani, Avi Suprapti Suprapti Taufiqqurrahman, Husain Tri Septianto Trimono Triyana, Dimas Volem Alvaro Azira Azira Wahyu Eko Pujianto Wahyu Fahrul Ridho Wahyu Syaifullah JS Waluya, Onny Kartika Waskito, Achmad Derajat Wibisono, Al Danny Rian Winarti ., Winarti Yisti Vita Via