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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics Journal of Applied Information, Communication and Technology (JAICT) Jurnal SOLMA Educational Journal of Learning Technology Scripta Technica: Journal of Engineering and Applied Technology
Helmy Helmy, Helmy
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Penerapan Machine Learning Untuk Mengendalikan Parameter Budidaya Tanaman Hidroponik Berbasis Edge Dan Cloud Computing Nursyahid, Arif; Setyawan, Thomas Agung; Helmy, Helmy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 4: Agustus 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.1148631

Abstract

Hidroponik sebagai metode urban farming mampu memenuhi kebutuhan sayuran segar di Indonesia. Budidaya tanaman hidroponik memiliki banyak keunggulan, antara lain tidak memerlukan lahan luas, bebas pestisida, tanaman lebih steril, dan tidak mudah terkena penyakit karena tidak menggunakan tanah. Keasaman larutan (pH) adalah parameter penting dalam budidaya hidroponik, karena mempengaruhi kemampuan tanaman menyerap unsur hara. Selain pH, kepekatan larutan nutrisi yang dinyatakan dalam Total Dissolved Solids (TDS) dengan satuan ppm juga perlu dikendalikan karena menyuplai nutrisi yang dibutuhkan tanaman. Dalam penelitian ini, pengendalian pH dan TDS menggunakan machine learning dengan metode regresi linear berganda serta teknologi edge computing dan cloud computing. Edge computing memungkinkan pemrosesan data real-time di perangkat sensor hidroponik, sedangkan cloud computing menyediakan kapasitas penyimpanan dan pemrosesan besar. Kombinasi kedua teknologi ini memungkinkan sistem pengendalian yang efisien, scalable, dan dapat diakses dari mana saja oleh petani. Berdasarkan hasil pengendalian via cloud, persamaan regresi untuk pengendalian TDS mampu bekerja dengan baik dengan akurasi 98,73% pada tandon 60 liter dan 95,95% pada tandon 100 liter. Selain itu, persamaan regresi untuk pengendalian pH juga bekerja dengan baik dengan akurasi 99,28% pada tandon 60 liter dan 99,69% pada tandon 100 liter.   Abstract   Hydroponics, as an urban farming method, can meet the demand for fresh vegetables in Indonesia. Hydroponic plant cultivation has many advantages, including not requiring large land areas, being pesticide-free, producing more sterile plants, and being less susceptible to disease since it does not use soil. The acidity of the solution (pH) is a crucial parameter in hydroponic cultivation because it affects the plant's ability to absorb nutrients. Besides pH, the concentration of the nutrient solution, expressed in Total Dissolved Solids (TDS) in ppm, also needs to be controlled as it supplies the nutrients required by plants. In this study, the control of pH and TDS utilizes machine learning with a multiple linear regression method and edge computing and cloud computing technologies. Edge computing allows real-time data processing at the hydroponic system's sensor devices, while cloud computing provides large storage and processing capacities. The combination of these technologies enables an efficient, scalable control system accessible to farmers from anywhere. Based on cloud control results, the regression equations for TDS control were found to be adequate and perform well with an accuracy of 98.73% for a 60-liter tank and 95.95% for a 100-liter tank. Additionally, the regression equations for pH control were also adequate and performed well with an accuracy of 99.28% for a 60-liter tank and 99.69% for a 100-liter tank.    
Development of Literacy Booth Media to Enhance Understanding of Fiqh Learning Materials in Madrasah Tsanawiyah Helmy, Helmy; Zainuddin, Fauziah; Nuraeni, Nuraeni
Educational Journal of Learning Technology Vol. 2 No. 3 (2025): Educational Journal of Learning Technology (May 2025)
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/edutech.v2i3.49

Abstract

This study aims to evaluate the validity and practicality of literacy booth media in improving students’ understanding of fiqh, specifically on Hajj rituals. Data were collected through questionnaires and interviews using the ADDIE-based Research and Development (R&D) model. The media was validated by three experts: content (97.5%), media design (85%), and language (97.5%). Results show that the literacy booth effectively enhances student engagement and comprehension, making it a practical tool for teaching fiqh to seventh-grade students.
Implementation of Web-based and Android-based Ruminant Livestock Management System with QR Code Technology at SMKN 1 Bawen Sasono, Sindung Hadwi Widi; Callista, Nada Vania Khansa; Hayuningtyas, Adika Dewi; Helmy, Helmy; Hidayat, Sidiq Syamsul; Wasito, Endro; Nursyahid, Arif; Nugroho, Ari Sriyanto
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18288

Abstract

Background: Manajemen peternakan ruminansia di SMKN 1 Bawen masih menerapkan sistem pencatatan manual yang menyebabkan ketidakefisienan dalam pengelolaan data dan keterbatasan akses informasi. Pegabdian ini bertujuan mengimplementasikan sistem manajemen peternakan berbasis Web dan Android dengan teknologi QR Code. Metode: Pengabdian menggunakan pendekatan agile yang terdiri dari empat tahap: perencanaan, analisis, rekayasa, dan evaluasi. Sistem dikembangkan menggunakan Visual Studio Code untuk website dan Android Studio IDE untuk aplikasi mobile, dengan pengujian menggunakan Black Box Testing, Stress Testing, dan Performance Testing. Hasil: Kegiatan ini berhasil diimplementasikan dengan fitur utama meliputi manajemen data ternak, identifikasi menggunakan QR Code, monitoring kesehatan, dan analisis perkembangan ternak. Sistem ini terbukti meningkatkan efisiensi pengelolaan data ternak dan memudahkan akses informasi bagi pengguna. Kesimpulan: Implementasi sistem manajemen peternakan digital berhasil mengatasi permasalahan pencatatan manual dan memberikan dampak positif pada pembelajaran siswa dalam manajemen peternakan modern.
Implementasi Artificial Intelligence DanInternet Of Things Untuk Mendeteksi Penggunaan Helm Proyek Syabilla Rosyada, Bilqis; Fitriyani, Yunita; Agung Setyawan, Thomas; Wasito, Endro; Budi Waluyo, Catur; Ratna Kusumatuti, Dianita; Helmy, Helmy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 4: Agustus 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.124

Abstract

BPJS Ketenagakerjaan mencatat bahwa jumlah kecelakaan kerja di Indonesia meningkat dari 221.740 kasus pada tahun 2020 menjadi 234.370 kasus pada tahun 2021, dan terus meningkat hingga mencapai 256.334 kasus pada November 2022. Berdasarkan data dari Kementerian Ketenagakerjaan Indonesia, pada tahun 2020, 57,5% dari total 126,51 juta pekerja di Indonesia memiliki tingkat pendidikan rendah, yang berkontribusi pada rendahnya kesadaran akan pentingnya budaya Keselamatan dan Kesehatan Kerja (K3) serta penggunaan Alat Pelindung Diri (APD) yang sesuai standar. Pemantauan penggunaan APD, termasuk helm proyek di area konstruksi, masih dilakukan secara manual, yang dirasa kurang efisien. Penelitian ini bertujuan untuk mengembangkan alat berbasis Artificial Intelligence (AI) dan Internet of Things (IoT) yang dapat memantau penggunaan helm proyek secara real-time dengan akurasi tinggi dan dapat dipantau melalui dashboard. Alat ini terbukti lebih efektif dalam meminimalisir kecelakaan kerja, dengan rata-rata akurasi deteksi sebesar 84,65% untuk pekerja yang memakai helm dan 71,5% untuk yang tidak memakai helm. Penelitian ini menggunakan metode Agile yang melibatkan observasi, identifikasi kebutuhan, perancangan, pembuatan sistem, implementasi, dan pengujian. Hasil penelitian ini menunjukkan bahwa sistem yang dikembangkan mampu memberikan kemudahan bagi petugas K3 dalam melakukan pengawasan, sehingga dapat mengurangi risiko kecelakaan kerja.   Abstract The Workers Social Security Agency (BPJS Ketenagakerjaan) recorded that the number of work accidents in Indonesia increased from 221,740 cases in 2020 to 234,370 cases in 2021, and continued to rise, reaching 256,334 cases by November 2022. According to data from the Indonesian Ministry of Manpower, in 2020, 57.5% of the total 126.51 million workers in Indonesia had a low level of education, which contributed to a lack of awareness of the importance of Occupational Safety and Health (OSH) culture and the use of Personal Protective Equipment (PPE) that meets standards. The monitoring of PPE usage, including project helmets in construction areas, is still conducted manually, which is considered inefficient. This study aims to develop a tool based on Artificial Intelligence (AI) and the Internet of Things (IoT) that can monitor the use of project helmets in real-time with high accuracy and can be monitored through a dashboard. This tool has proven to be more effective in minimizing work accidents, with an average detection accuracy of 84.65% for workers wearing helmets and 71.5% for those not wearing helmets. The study utilized the Agile method, involving observation, needs identification, system design, system development, implementation, and testing. The results of this study show that the developed system can provide ease for OSH officers in conducting supervision, thereby reducing the risk of work accidents.  
Quick Response Anti-Theft Measures in Jewelry Stores and Banks Utilizing the Internet of Things Widodo, Sarono; Bramantyo, Hutama Arif; Wardihani, Eni Dwi; Yulianto, Taufiq; Helmy, Helmy; Wasito, Endro; Daffa, Muhammad; Yuliana, Lutfi
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5113

Abstract

The act of theft is a prevalent criminal activity within society, particularly observed in financial institutions and jewelry establishments, owing to the significant economic worth associated with valuable assets like currency, gold, and diamonds. Certain locations lack an integrated security system that interfaces with law enforcement, hence posing challenges for victims to report criminal incidents, particularly in cases involving armed or violent attackers. Hence, the purpose of this final project tool is to streamline and expedite theft reporting by leveraging the capabilities of the Internet of Things. This tool gathers empirical data in the form of visual representations, geographical coordinates, and temporal information pertaining to an incident. The development process employs the waterfall methodology, characterized by an average data transmission speed of 21.5 seconds and a database-to-telegram latency time of around 3.85 seconds. The complete duration encompassing the stages of detection and subsequent notification via telegram amounts to approximately 25.35 seconds. The test results indicate a location tolerance of around 5-10 meters relative to the test spot.
Real-Time Web-Based Monitoring System for Temperature, Humidity, and Solar Panels in Ramie Drying Facilities Hidayat, Sidiq Syamsul; Shabiya, Kiara Izzatus; Kadiran, Sri Anggraeni; Mujahidin, Irfan; Prabowo, M. Cahyo Ardi; Nursyahid, Arif; Wasito, Endro; Helmy, Helmy
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.47234

Abstract

Purpose: To address the manual monitoring challenges in processing ramie fibers, especially during drying. The purpose is to create a monitoring system that oversees room temperature, humidity, and the status of solar panels, crucial factors in ramie productivity.Methods: Real-time web-based system development that monitors room temperature, humidity, and the performance of solar panels in a ramie drying room using the Internet of Things architecture ESP32 with communication through GSM SIM 800L in rural areas.Results: The system can display real-time information such as temperature data, humidity, and electrical energy parameters derived from the solar panel's utilization in the ramie drying room. By doing so, users gain efficiency and effectiveness in obtaining information, significantly enhancing ramie fiber productivity.Novelty:  Integration of sensor instruments, low-power ESP32 microcontrollers, GSM Telecommunication, Solar Cell Energy as a power source, and a real-time web-based Monitoring Information System implemented in a ramie drying dome. This simplifies the monitoring process and optimizes limited resources such as space, energy, telecommunications, and human resources, which are typically constrained infrastructure in the ramie fiber agricultural system.
Desain, Pengembangan, dan Implementasi Gerbang Pembayaran Berbasis Web dan Android di Objek Wisata Bukit Cinta di Kabupaten Semarang Ayudya Sawitri; Nabila Kusumawardani; Helmy, Helmy; Sindung Hadwi Widi Sason
Journal of Engineering and Applied Technology Vol 1 No 1 (2025): June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/xebsw278

Abstract

Advances in information and communication technology have brought significant changes to various aspects of life, including the tourism sector. Bukit Cinta Tourist Attraction in Semarang Regency is one of the tourist destinations that continues to strive to improve its services to visitors. One of these efforts is to implement a web-based and Android payment gateway system. This study aims to design and develop a payment gateway system that can facilitate digital payment transactions for visitors to the Bukit Cinta Tourist Attraction. The system is designed to integrate various payment methods, such as bank transfers and digital wallets, thereby simplifying the process of paying for entrance tickets and various services at the tourist site. The research method used is the agile method, which includes planning, design, development, and testing phases. The results of the black-box testing indicate that the application interface functions well as planned. In the stress test, it was found that higher network speed availability improves application performance, and overall, the system can handle request loads effectively. It is hoped that the results of this research will contribute positively to Bukit Cinta Tourist Attraction in Semarang Regency by enabling ticket purchases to be made anywhere and generating accurate transaction data
Co-Authors Agung Setyawan, Thomas Ari Sriyanto Nugroho Arif Nursyahid, Arif Ayudya Sawitri Budi Waluyo, Catur Callista, Nada Vania Khansa Daffa, Muhammad Endro Wasito, Endro Eni Dwi Wardihani, Eni Dwi Fauziah Zainuddin, Fauziah Hayuningtyas, Adika Dewi Hutama Arif Bramantyo Nabila Kusumawardani Nuraeni Nuraeni Prabowo, M. Cahyo Ardi Rahmawati, Aji Ramadhan, Syahrul Ratna Kusumatuti, Dianita Sarono Widodo, Sarono Shabiya, Kiara Izzatus Sidiq Syamsul Hidayat, Sidiq Syamsul Sindung Hadwi Widi Sason Sindung Hadwi Widi Sasono, Sindung Hadwi Widi Sri Anggraeni Kadiran, Sri Anggraeni Syabilla Rosyada, Bilqis Taufiq Yulianto Thomas Agung Setyawan, Thomas Agung Yuliana, Lutfi Yunita Fitriyani, Yunita