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Perancangan Sistem Monitoring Infus Menggunakan Mikrokontroler Arduino Uno Secara Real - Time Handayani, Ade Silvia; Mardiani, Mega; Taqwa, Ahmad
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Terapi intravena adalah prosedur medis yang menggunakan jarum untuk menggantikan cairan atau menyuntikkan obat ke dalam pembuluh darah. Namun kenyataan di lapangan, umumnya pemantauan infus dilakukan secara manual, yang seringkali menimbulkan masalah seperti infus habis tanpa sepengetahuan perawat. Dalam penelitian ini, dengan memanfaatkan teknologi Internet of Things (IoT) untuk pemantauan infus dari jarak jauh dan sejumlah komponen, termasuk sensor load cell, Optocoupler, Webcam, dan Arduino Uno sebagai pengendali utama, serta modul NodeMCU ESP32 yang digunakan untuk menghubungkan sistem ke internet, sehingga data pemantauan dapat diakses melalui server dengan komunikasi serial dan protokol MQTT secara real-time. Hasil penelitian menunjukkan bahwa sensor berkinerja baik, dengan tingkat akurasi sekitar 80% dalam pengujian. Data pemantauan infus dan kontrol pasien dapat diakses melalui aplikasi Android, memungkinkan pemantauan yang lebih efisien. Dengan teknologi ini, perawat dapat memantau infus dari jarak jauh, sehingga dapat meningkatkan kualitas perawatan dan keselamatan pasien secara keseluruhan.
Design of a 3600 Virtual Reality Website for the Department of Electrical Engineering Sriwijaya State Polytechnic Iqbal, Muhammad; Taqwa, Ahmad; Lindawati, Lindawati
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3158

Abstract

Information technology plays a crucial role in meeting the aspirations of people seeking knowledge in higher education institutions. One effective strategy to showcase the unique features of each university is by employing a Virtual Reality Website 3600. Through this Virtual Reality Website, prospective students, visitors, and the general public can experience a more immersive understanding of the facilities and lecture rooms in the Department of Electrical Engineering at Sriwijaya State Polytechnic (POLSRI). Users can feel as if they are physically present and interact with the college environment virtually using the 3600 camera technology. In this research, to ensure the security of user data and prevent potential security threats, a One-Time Password (OTP) security mechanism is implemented on the website. The OTP system provides temporary access with unique codes generated each time a user accesses the website. This measure is taken to safeguard user data from unauthorized access and potential information leaks. The outcomes of this study will contribute to introducing users to the Virtual Reality Website 3600 technology and aid the Department of Electrical Engineering at POLSRI in virtually showcasing their facilities and lecture rooms to prospective students in an engaging manner.
Design and Development of Mango Ripeness Classification Tool using CNN Android-based Platform Mursalin, Zaldy Gumilang; Taqwa, Ahmad; Salamah, Irma
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4379

Abstract

Artificial ripening methods use calcium carbide (carbide) which often leaves harmful residues on the mango fruit. This research designs a classification tool for carbite and non-carbite mango fruit using the Android-based InceptionV3 Convolutional Neural Network method. The mango fruit image dataset consists of 1622 images (881 images of carbite mangoes and 811 images of non-carbite mangoes) used to train and test the model. The testing process is done by implementing the model on a Raspberry Pi B+ connected to a camera pi to take pictures of mangoes at a distance of 30 cm. The results showed that the CNN model developed achieved an average accuracy of 94.4% in classifying carbitan and non-carbitan mangoes. This result shows that the classification tool designed can provide significant benefits for farmers, traders, and consumers in ensuring marketed quality.
Sistem Deteksi Gas Pintar Berbasis IoT dan Terintegrasi Fuzzy-Logic untuk Keamanan Distribusi Gas secara Realtime Azizah, Putri Nur; Taqwa, Ahmad; Salamah, Irma
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7331

Abstract

Abstract−LPG gas is a widely used fuel for daily needs in households, industry, and commercial sectors. Although easy to use and affordable, LPG contains highly flammable compounds that can cause fires and explosions, especially if leaks go undetected. Field surveys show that most gas agents or depots still use manual methods relying on the sense of smell to detect gas leaks. This approach does not provide optimal or accurate results, making it ineffective and potentially harmful to health when excessive gas is inhaled. Therefore, this research aims to design a gas leak detection system based on the Internet of Things (IoT) using the Fuzzy Tsukamoto algorithm integrated with the Blynk application. The method involves the design of hardware and software using three sensors as input parameters: MQ-6 (gas), DHT22 (temperature), and Flame Sensor (fire), which are processed by the ESP32 microcontroller through fuzzy logic rules. The system outputs include a visual LED indicator, buzzer activation, status display on the LCD, notifications via Blynk, and automatic fan response to neutralize the gas. Based on results simulation and testing under three environmental condition scenarios, the system is able to detect gas leaks with average error of 0.315% and accuracy of 90.55%. This study demonstrates a reliable, effective, and responsive gas leak detection system. It is expected that the system can minimize the potential dangers of gas leaks and enhance gas storage safety.
BASIC IMPLEMENTATION OF THE NATIONAL OFFICE IN PREVENTION OF GRATUITY CASES Ahmad Taqwa; Muhammad Ihsan
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.2240

Abstract

The scientific background regarding the case of gratuity in Indonesia, in terms of juridical violations under Articles 12A, 12B, and 12C of Law Number 31 of 1999, in conjunction with Law Number 20 of 2001 concerning the Eradication of Corruption Crimes, has caused poverty across various aspects of people’s lives. In addition, efforts to eradicate the crime of gratuity need to be supported by professional human resources and the enforcement of legal sanctions to foster personal awareness of anti-corruption. Based on the description above, the problem formulation is focused on: 1) Why is the integrity of state officials needed in eradicating graft cases? 2) What is the relationship between the philosophical study of the integrity of state officials in the case of gratuities? 3) What is the legal purpose of the integrity of state officials in the case of gratuities? The purpose of this study is to analyze the integrity of state officials in eradicating cases of gratuity. The approach method in this study is a normative juridical approach. The types of legal materials used are primary, secondary, and tertiary. The analysis technique used is qualitative descriptive. The results of the study are the eradication of gratuities in Indonesia, namely unlawful acts (corruption) by state officials/employees, receiving bribes (gratuities) from corporations or related parties, abuse of authority, and the practice of collusion with fictitious projects offering a 50%:50% profit split with contractors. This research novelty concludes that gratuities are unlawful acts by state officials who must be audited their salary financial data and even their family’s financial data through the Annual Personal Tax Payment Letter in accordance with the Regulation in Lieu of Law Number 1 of 2017 and reported to the Financial Audit Agency and the Financial Transaction Analysis Reporting Center in accordance with the Law of the Republic of Indonesia Number 8 of 2010.
Performance evaluation of a solar-powered thermoelectric cool box with GSM-IoT monitoring for coastal fisheries Shaffa, Shaffa; Kusumanto, RD; Taqwa, Ahmad
Jurnal Polimesin Vol 24, No 2 (2026): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i2.8857

Abstract

This study develops and evaluates an autonomous solar-powered cool box to improve the storage quality of fishermen catch in the Sungsang Estuary, where limited access to ice and electricity accelerates fish deterioration. The system integrates a monocrystalline photovoltaic panel, VRLA battery, MPPT charge controller, thermoelectric cooling module, automatic solar tracking, and GSM-IoT monitoring for remote operation. Solar tracking uses LDR sensors and a wiper motor to continuously adjust panel orientation for improved solar energy capture. A 14-day field test in a maritime environment showed a maximum power output of 199.9 W and an average daily energy yield of 1,285.6 Wh. The generated energy sustained the cooling load while maintaining system voltage between 22.35 and 23.55 V under varying irradiance. Panel tilt adjustment from -30° to +32° improved solar radiation absorption throughout the day. The cool box maintained an average internal temperature of 6-8°C, with occasional short-term increases to 14-15°C caused by external ambient conditions. The results demonstrate that integrating photovoltaic power, automatic tracking, and GSM-IoT monitoring provides a practical renewable-energy solution for cold storage, digitalization, and sustainability in small-scale fisheries.