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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Simantec Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Knowledge Engineering and Data Science Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Network Engineering Research Operation [NERO] Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Applied Information System and Management Jurnal Teknoinfo Jurnal ICT : Information Communication & Technology Community Development Journal Jurnal Informasi dan Teknologi JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Mnemonic Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Journal of Electrical Engineering and Computer (JEECOM) Archipelago Engineering Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) J-Intech (Journal of Information and Technology) Joutica : Journal of Informatic Unisla Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Rekayasa Lampung (JRL) Biner : Jurnal Ilmiah Informatika dan Komputer Seminar Nasional Ilmu Terapan JEECS (Journal of Electrical Engineering and Computer Sciences) Nusantara Journal of Computers and its Applications NERO (Networking Engineering Research Operation) Jurnal Informatika: Jurnal Pengembangan IT Journal of Computer Science Advancements Journal of Information Technology
Hozairi
Universitas Islam Madura
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Transportation Other

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Prediksi Kebutuhan Beras Di Jawa Timur Menggunakan Metode Gated Recurrent Unit (GRU) Hozairi, Hozairi; Muhsi, Muhsi; Putri, Nadira Hijriani
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.8790

Abstract

Food security is a strategic issue that affects economic stability and community welfare, especially in ensuring the availability of rice as a staple food in East Java. Uncertainty in food planning can cause an imbalance between rice production and consumption. Consequently, a precise forecast technique is necessary to aid decision-making. The objective of this research is to forecast or predict rice needs using the Gated Recurrent Unit (GRU) model to support more effective food management. The research methods include Min-Max Scaling normalization, and data division into 80% training and 20% testing. The GRU model has two main layers with 64 and 32 neuron units, The system was trained for 100 epochs with a batch size of 32 using the Adam optimizer and the MSE loss function. The evaluation results show high performance with MAE 0.0103, MSE 0.0001, RMSE 0.0116, and R² 0.9935, indicating low error and good generalization. The Training and Validation Loss graph shows a stable learning model without overfitting. This model can be a reliable prediction tool in food planning. Implementation of the model can help the government maintain the balance of rice supply and optimize agricultural policies.
Sistem Informasi Ujian Online Multi User Di Fakultas Teknik Universitas Islam Madura Makruf, Masdukil; Kuddus, Abd; Hozairi, Hozairi
Journal of Electrical Engineering and Computer (JEECOM) Vol 5, No 2 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v5i2.6331

Abstract

Sistem Informasi Ujian Online Multi User adalah sebuah aplikasi yang dirancang untuk mendukung pelaksanaan ujian online di Fakultas Teknik Universitas Islam Madura. Tujuan dari penelitian ini adalah untuk memperbaiki proses pengelolaan ujian di Fakultas Teknik dengan mengimplementasikan sistem informasi yang efisien dan dapat diakses oleh berbagai pengguna. Metode pengumpulan data yang digunakan adalah studi literatur, observasi langsung, wawancara, dan analisis kebutuhan. Setelah melakukan analisis kebutuhan, dilakukan perancangan sistem berdasarkan hasil analisis dan kebutuhan pengguna. Sistem informasi ini memanfaatkan teknologi web dengan menggunakan bahasa pemrograman dan framework yang sesuai. Salah satu metode evaluasi adalah metode PIECES (kinerja, informasi, ekonomi, kontrol, efisiensi, pelayanan). Anda dapat menentukan kepuasan untuk setiap domain berdasarkan metode PIECES, yang terdiri dari kinerja, informasi, ekonomi, kontrol, efisiensi, dan layanan dalam mengukur kepuasan mahasiswa untuk Aplikasi sistem informasi Ujian Online Multi User. Hasil Penelitian dari Performance mendapatkan Nilai 4,591, information mendapatkan nilai 4,631, Economy mendapatkan nilai 4,618, Control mendapatkan  nilai 4,578, Efficiency mendapatkan nilai 4,657 dan service mendapatkan nilai 4,657. Sehingga nilai rata-rata yang didapat 4,626 maka dapat dikategorikan mahasiswa merasa SANGAT PUAS terhadap Aplikasi Sistem Informasi Ujian Online Multi User.Sistem Informasi Ujian Online Multi User adalah sebuah aplikasi yang dirancang untuk mendukung pelaksanaan ujian online di Fakultas Teknik Universitas Islam Madura. Tujuan dari penelitian ini adalah untuk memperbaiki proses pengelolaan ujian di Fakultas Teknik dengan mengimplementasikan sistem informasi yang efisien dan dapat diakses oleh berbagai pengguna. Metode pengumpulan data yang digunakan adalah studi literatur, observasi langsung, wawancara, dan analisis kebutuhan. Setelah melakukan analisis kebutuhan, dilakukan perancangan sistem berdasarkan hasil analisis dan kebutuhan pengguna. Sistem informasi ini memanfaatkan teknologi web dengan menggunakan bahasa pemrograman dan framework yang sesuai. Salah satu metode evaluasi adalah metode PIECES (kinerja, informasi, ekonomi, kontrol, efisiensi, pelayanan). Anda dapat menentukan kepuasan untuk setiap domain berdasarkan metode PIECES, yang terdiri dari kinerja, informasi, ekonomi, kontrol, efisiensi, dan layanan dalam mengukur kepuasan mahasiswa untuk Aplikasi sistem informasi Ujian Online Multi User. Hasil Penelitian dari Performance mendapatkan Nilai 4,591, information mendapatkan nilai 4,631, Economy mendapatkan nilai 4,618, Control mendapatkan  nilai 4,578, Efficiency mendapatkan nilai 4,657 dan service mendapatkan nilai 4,657. Sehingga nilai rata-rata yang didapat 4,626 maka dapat dikategorikan mahasiswa merasa SANGAT PUAS terhadap Aplikasi Sistem Informasi Ujian Online Multi User.
PENGEMBANGAN KAPAL AUTOPILOT UNTUK NELAYAN TRADISIONAL BERBASISKAN JARINGAN LORA DAN PETA PERSEBARAN IKAN Gafur, Abdul; Artanti, M. D.; Santosa, A. F.; Sa'diyah, Aminatus; Asmara, I Putu Sindhu; Arfianto, Afif Zuhri; Hozairi, Hozairi
NJCA (Nusantara Journal of Computers and Its Applications) Vol 8, No 2 (2023): NJCA Vol 8 No 2 December 2023
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v8i2.346

Abstract

Indonesia merupakan salah satu negara kepulauan yang memiliki wilayah perairan khususnya wilayah laut yang lebih luas dari pada wilayah daratannya. Salah satu sumber daya laut yang berpotensial di Indonesia adalah sektor perikanan. Informasi mengenai data persebaran ikan merupakan informasi yang sangat berguna untuk nelayan dalam menemukan lokasi persebaran ikan. Balai Riset dan Observasi Laut (BROL) dari kementrian kelautan membuat peta persebaran ikan yang memberikan informasi berupa peta dan koordinat. Begitu pula dengan bahaya di perairan indonesia yang tidak menentu. Badan meteorologi klimatologi dan geofisika (BMKG), menyajikan informasi mengenai kondisi bahaya yang ada di Indonesia yang meliputi cuaca dan tinggi gelombang. Namun, nelayan kurang bisa memanfaatkannya. Pada penelitian ini dibuat sebuah perangkat navigasi daerah persebaran ikan yang ditujukan untuk para nelayan tradisional daerah Jawa, Bali, dan Nusa Tenggara beserta media informasi berupa peta daerah persebaran ikan dan kondisi bahayanya yang dapat diakses melalui http://188.166.242.227:8888/. Informasi data pada peta daerah persebaran ikan menjadi inputan pada perangkat navigasi berupa data latitude dan longitude yang dikirim melalui gateway ke perangkat navigasi menggunakan komunikasi LoRa. Setelah data diterima, data akan diolah oleh mikrokontroler dan sensor yang digunakan adalah sensor GPS. Hasil penelitian perangkat dapat menghitung jarak lokasi tujuan terhadap lokasi awal dengan tingkat keberhasilan sebesar 99,8317% dan pengukuran sudut target lokasi tujuan dengan tingkat keberhasilan sebesar 99,9798%. Serta jarak komunikasi perangkat navigasi daerah persebaran ikan dengan gateway menggunakan LoRa kurang lebih 1,9 km
OPTIMASI RUTE DISTRIBUSI TEMBAKAU DI PT BAWANG EMAS MENGGUNAKAN SOLVER EXCEL Taufiqurrohman, Taufiqurrohman; Lizami, Makinul; Wahyudi, Moh. Rafiqi; Hozairi, Hozairi
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 3 No 2 (2024): Juli
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v3i2.7382

Abstract

Industri tembakau di Indonesia merupakan salah satu sektor penting yang berkontribusi terhadap perekonomian nasional. PT Bawang Emas, sebagai salah satu perusahaan tembakau terkemuka di Kota Pamekasan, dihadapkan pada tantangan dalam mengoptimalkan rute distribusi produknya. Hal ini penting untuk meminimalkan biaya transportasi dan meningkatkan efisiensi operasional. Penelitian ini bertujuan menerapkan aplikasi solver excel untuk menerapkan metode jalur terpendek dalam mengoptimalkan rute distribusi tembakau di PT Bawang Emas menggunakan Solver Excel. Metode yang digunakan adalah metode Jalur terpendek, Metode tersebut digunakan karena bisa menghitung rute terpendek dengan meminimalkan total jarak tempuh. Penelitian ini memiliki 16 variabel keputusan, dan satu tujuan. Hasil penelitian menunjukkan bahwa rute terpendek dari PT Bawang Emas (S) ke Gudang Sampang (T) melalui Desa A, B, C, D, dan E dengan total jarak tempuh 40 Kilometer, Jarak dari PT Bawang Emas (S) ke desa B sejauh 18 Kilometer, jarak dari desa B ke desa E sejauh 8 Kilometer, dan jarak dari desa E ke ke Gudang Sampang (T) sejauh 14 Kilometer . Penerapan metode ini dapat membantu PT Bawang Emas dalam mengoptimalkan rute distribusi tembakau, sehingga meminimalkan biaya transportasi dan meningkatkan efisiensi operasional.
Classification of Sign Language in Real Time Using Convolutional Neural Network Tamam, Moh. Badri; Hozairi, Hozairi; Walid, Miftahul; Bernardo, Januario Freitas Araujo
Applied Information System and Management (AISM) Vol. 6 No. 1 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i1.29820

Abstract

Communication between people is essential for daily life activities. However, humans are created with their own strengths and weaknesses. One of them is the difficulty of communication and interaction for people with hearing and speech impairments. Sign language is a language for people who have difficulty hearing and speaking. However, sign language is not popular in society, and people who have it will have more difficulties. This research aims to classify hand gestures of sign language into letters using a convolutional neural network (CNN). The dataset is obtained from Kaggle, with a total of 34,627 data divided by the ratio of training and testing data of 80:20. From the test results, the letters of the alphabet that can be translated are: A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, S, T, U, V, W, X, Y, and Z. Furthermore, validation accuracy is obtained. In this study, a very high validation accuracy was obtained. The easiest letters to guess are V and N, while the most difficult letters to guess are n, c, j, and z. With different preprocessing, the loss value can be reduced, giving a higher accuracy of 95.4%.
Implementation of the Shortest Path Method with Excel Solver to Optimize Goods Delivery Routes Muyammina, Ittrotul; Safira, Aulia; Hozairi, Hozairi
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.1137

Abstract

The shortest path solver is a program that aims to find the route with the lowest total edge weight between two points in a graph. Commonly used algorithms include Dijkstra for graphs with non-negative edge weights, Bellman-Ford for graphs with negative edge weights, and Floyd-Warshall for finding the shortest path between all point pairs. Its application is wide, ranging from navigation systems, computer networks, to logistics and games. The process of using it involves creating a graph model , selecting the appropriate algorithm, running a solver, and analyzing the results. A practical example shows how the Dijkstra algorithm can be used to determine the shortest route between cities in a road network , with effective and accurate results . The shortest path solver proves to be a versatile and essential tool for solving a wide range of problems in a variety of fields. This research uses quantitative methods with an experimental approach to test the effectiveness and efficiency of using the shortest path method with Solver Excel in optimizing goods delivery routes. The research object is the delivery route from the warehouse to several delivery destinations, with a sample of 10 routes that are most frequently used and have the highest delivery volume. Primary data was obtained through direct observation and interviews with company logistics managers. The results of this study show that the use of shortest path method with Excel Solver is effective in optimising the route of delivery of goods, reducing the cost and time of delivery by 15% and 10%. Although there are limitations for large networks, this tool remains useful and flexible. This implementation can be a reference for other companies to improve their logistics efficiency.
Implementation Of Convolutional Neural Network Algorithm For Tobacco Pest Detection Tamam, Moh Badri; Chafid, Nurul; Hozairi, Hozairi; Aini, Qurrotul; Santoso, Teguh Budi; Kurniawan, Wawan; Kuzairi, Kuzairi
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30044

Abstract

Agriculture plays a vital role in increasing Gross Domestic Product (GDP), providing employment, contributing to foreign exchange earnings, and supporting environmental conservation. Indonesia has great potential as an agricultural country where population majority relies on agricultural sector for their livelihood. Pamekasan Regency is center of tobacco production development in East Java, with a tobacco plantation area of over 30,000 hectares. However, pest attacks such as caterpillars often damage tobacco plants, reducing productivity and leaf quality. This study implemented AI technology, specifically Convolutional Neural Networks (CNN), to detect caterpillar pests in tobacco plants in Pamekasan. The main focus is on AI development in computer vision using deep learning techniques. The CNN training process involves several stages: convolution, ReLU layers, subsampling/pooling layers, and fully connected layers. The test scenario was conducted by dividing data by 85% training, 10% validation, and 5% testing, as well as tuning parameters for the learning rate and epochs. The model achieved a maximum accuracy of 85% without overfitting at a learning rate of 0.001 and epochs 15. This demonstrates that the CNN deep learning method can effectively identify disease features in tobacco plants. The application of this technology can increase productivity and efficiency in the agricultural sector, supporting a sustainable economy and ecology.Keywords: convolutional neural network, image detection, tobacco pest.
Sistem Pendukung Keputusan Seleksi Anggota Paskibraka Kabupaten Pamekasan Moh Fahmi Maulidanitamyizi; Hoiriyah Hoiriyah; Hozairi Hozairi
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.843

Abstract

This study evaluates the use of the Decision Support System (SPK) with the AHP method for the selection of Paskibraka members in Pamekasan Regency. The criteria used in this study were Body Posture (PT), Height (TB), and Health (K). The results of ranking the first priority criteria are Height (K = 0.70), second is Height (TB = 0.21), and third is Body Posture (PT = 0.08). From the results of the alternative ranking of the selected paskibraka participant candidates, A8=0.22, A7=0.20, A6=0.16, A5=0.12, A4=0.09, A3=0.06, A2=0.06, and A3=0.05. The contribution of the SPK application will help the committee evaluate the recruitment process of team members objectively.
Co-Authors AA. Masroeri Aang Kisnu Darmawan Abd. Wafi Ach. Nurul Qomar Akhmad Arif Kurdianto Alim, Syariful Alim, Syarigul Anwari Anwari Anwari, Anwari Arfianto, Afif Zuhri Artanti, M. D. Arya Yudhi Wijaya Asmara, I Putu Sindhu Bakir Bakir Bakir Bakir Bakir, Bakir Baskoro, Fajar Bernardo, Januario Freitas Araujo Billy Jhones Camerling Budhi Hascaryo Iskandar Buhari Buhari Buhari Camerling, Billy Jhones Chafid, Nurul Efenie, Yuri Finanatun Halimiyah Fitra, Anis Hakiem, Luqmanul Heru Lumaksono Heru Lumaksono Heru Lumaksono Heru Lumaksono Hoiriyah, . Hoiriyah, Hoiriyah Husnul Khatimah Husnul Khatimah John Haluan Juhairiyah Juhairiyah Juhairiyah Ketut Buda Artana Kuddus, Abd Kuzairi Lizami, Makinul Lumaksono, Heru Lumaksono, Heru M. Ali Fikri Madukil Makruf Maisyaroh, Rohimatul Marcus Tukan Marcus Tukan Masdukil Makruf, Masdukil Maulidanitamyizi, Moh Fahmi mochamad zainul Asrori Moh Fahmi Maulidanitamyizi Moh. Badri Tamam Mohammad Isa Irawan Mohammad Thezar Afifudin Mohammad Thezar Afifudin Muhammad Agus Muljanto Muhsi, Muhsi Munadi Munadi Muyammina, Ittrotul Nur Azizah Nurul Badriyah Nurul Hidayat Putri, Dewi Amiliana Putri, Nadira Hijriani Qurrotul Aini Rofiudin Roland Koswara Sa'diyah, Aminatus Safira, Aulia Salman Alfarisi Santosa, A. F. Santoso, Teguh Budi Syamsiar, Syamsiar Syariful Alim Syariful Alim Syariful Alim Syariful Alim Taufiqurrohman Taufiqurrohman Tukan, Markus wahyudi, furqon Wahyudi, Moh. Rafiqi Walid, Miftahul Wawan Kurniawan Yaser Krisnafi Yaser Krisnafi, Yaser Yuri Efenie Zaifuddin, Zaifuddin