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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Prosiding SNATIF SMATIKA Proceeding of the Electrical Engineering Computer Science and Informatics IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro CYCLOTRON Jurnal Teknologi Sistem Informasi dan Aplikasi JURIKOM (Jurnal Riset Komputer) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Qua Teknika bit-Tech Jurnal Sistem Komputer dan Informatika (JSON) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Research in Vocational Studies (IJRVOCAS) Jurnal Minfo Polgan (JMP) BEES: Bulletin of Electrical and Electronics Engineering Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Polimesin semanTIK Smatika Jurnal : STIKI Informatika Jurnal
Ahmad Taqwa
Politeknik Negeri Sriwijaya
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Sistem Monitoring Non-Invasif Gula Darah, Denyut Jantung, dan SpO2 Berbasis Internet of Things Dimas Andreansyah; Ahmad Taqwa; Suroso Suroso
SemanTIK : Teknik Informasi Vol. 11 No. 2 (2025): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i2.176

Abstract

Pemantauan kesehatan secara rutin memiliki peran penting dalam mendeteksi dini penyakit kronis seperti diabetes dan gangguan jantung. Namun, metode konvensional yang umumnya bersifat invasif sering menimbulkan ketidaknyamanan dan membutuhkan waktu serta biaya yang tidak sedikit. Berdasarkan permasalahan tersebut, penelitian ini mengembangkan sistem monitoring kesehatan non-invasif berbasis Internet of Things (IoT) yang mampu mengukur kadar gula darah, denyut jantung, dan kadar oksigen (SpO₂) tanpa pengambilan sampel darah. Sistem ini dirancang menggunakan mikrokontroler ESP32 sebagai pengendali utama dan sensor GY-MAX30102 sebagai sensor optik untuk mendeteksi sinyal fotopletismografi (PPG). Data hasil pengukuran dikalibrasi dengan alat medis standar guna meningkatkan akurasi dan reliabilitas. Hasil pengujian menunjukkan tingkat akurasi sebesar 95,3% untuk kadar gula darah, 95,9% untuk denyut jantung, dan 99,3% untuk kadar oksigen (SpO₂). Seluruh data pengukuran ditampilkan melalui LCD 16x2 serta dikirim secara real-time ke website monitoring menggunakan protokol MQTT untuk kemudahan pemantauan jarak jauh serta memberikan alternatif pemantauan kesehatan yang lebih praktis, efisien, dan nyaman, memungkinkan pengguna untuk memantau kondisi tubuh secara rutin tanpa harus melalui prosedur yang bersifat invasif. Regular health monitoring plays a crucial role in early detection of chronic diseases such as diabetes and heart disease. However, conventional, generally invasive methods often cause discomfort and are time-consuming and expensive. Based on these challenges, this study developed a non-invasive Internet of Things (IoT)-based health monitoring system capable of measuring blood sugar, heart rate, and oxygen (SpO₂) levels without blood sampling. The system was designed using an ESP32 microcontroller as the main controller and a GY-MAX30102 sensor as an optical sensor to detect photoplethysmography (PPG) signals. The measurement data was calibrated with standard medical devices to improve accuracy and reliability. The test results showed an accuracy rate of 95.3% for blood sugar, 95.9% for heart rate, and 99.3% for oxygen (SpO₂). All measurement data is displayed on a 16x2 LCD and sent in real-time to the monitoring website using the MQTT protocol for easy remote monitoring and provides a more practical, efficient, and convenient health monitoring alternative, allowing users to monitor their body condition regularly without having to undergo invasive procedures.
Sistem Pemilihan Rekomendasi Produk UMKM Kopi menggunakan Metode K-Nearest Neigbors M. Ardiansyah; Ahmad Taqwa; Ade Silvia Handayani
SemanTIK : Teknik Informasi Vol. 11 No. 2 (2025): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i2.177

Abstract

Seiring dengan meningkatnya tren konsumsi kopi di berbagai kalangan dan semakin beragamnya preferensi konsumen terhadap produk kopi, hal ini juga dipicu oleh banyaknya produk kopi bermunculan di pasaran dengan berbagai varian harga, jenis olahan, dan asal kopi yang ditawarkan oleh pelaku Usaha Mikro, Kecil, dan Menengah (UMKM). Semakin banyaknya varian produk yang beredar membuat konsumen semakin sulit menemukan produk kopi yang sesuai dengan preferensi mereka. Metode K-Nearest Neighbors (KNN) menawarkan pendekatan yang efektif untuk membantu konsumen dalam menemukan rekomendasi produk kopi. Penelitian ini mengimplementasikan metode KNN mengukur jarak kedekatan antara preferensi pengguna dan karakteristik produk menggunakan dua metrik pengukuran, yaitu Euclidean dan Manhattan. Hasil evaluasi pengujian menunjukkan bahwa metrik jarak Euclidean memberikan tingkat akurasi tertinggi sebesar 92.2%, diikuti oleh Manhattan sebesar 91.8%. Berdasarkan hasil tersebut, Euclidean merupakan pilihan optimal dalam sistem rekomendasi yang dikembangkan, terbukti mampu memberikan rekomendasi produk kopi kepada konsumen dengan tingkat akurasi mencapai 92,2%. Along with the increasing trend of coffee consumption across various demographics and the growing diversity of consumer preferences for coffee products, this is also driven by the multitude of coffee products emerging in the market with various price ranges, types of processing, and origins offered by micro, small, and medium enterprises (MSMEs). The increasing variety of products available makes it more difficult for consumers to find coffee products that match their preferences. The K-Nearest Neighbors (KNN) method offers an effective approach to help consumers find coffee product recommendations. This research implements the KNN method to measure the proximity between user preferences and product characteristics using two measurement metrics, namely Euclidean and Manhattan. The evaluation results show that the Euclidean distance metric provides the highest accuracy level of 92.2%, followed by Manhattan at 91.8%. Based on these results, Euclidean is the optimal choice in the developed recommendation system and has proven capable of providing coffee product recommendations to consumers with the best recommendation results.
Monitoring and Information System for Automatic Clothes Drying Based on the Internet of Things Mila Mila; Ahmad Taqwa; Suroso Suroso
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9828

Abstract

This research develops an Internet of Things (IoT)-based automatic clothes drying monitoring and information system to overcome the challenges of drying clothes due to uncertain weather changes. The system integrates NodeMCU ESP8266 as the main controller with various sensors such as rain, light, temperature, and humidity sensors to detect environmental conditions. The servo motor is used as a driving force to move the clothesline. The smartphone-based user interface was developed using the MIT App Inventor to enable remote monitoring and control. The test results showed that the system successfully detected weather changes and responded automatically, providing real-time information to users. Implementing IoT technology in this system allows for more efficient and practical management of clotheslines, overcoming the limitations of conventional drying methods.
Komparasi Algoritma Random Forest dan SVM dalam Klasifikasi Kondisi Aliran Air Berdasarkan Getaran MPU6050 Aknes Tasia Pratama; Ahmad Taqwa; Lindawati
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 4 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i4.9875

Abstract

Ketersediaan informasi mengenai kondisi aliran air pada sistem distribusi masih menjadi permasalahan di beberapa wilayah, terutama pada jaringan yang tidak beroperasi secara kontinu. Penelitian ini bertujuan mengembangkan model klasifikasi kondisi aliran air pada pipa distribusi berdasarkan data getaran yang diperoleh menggunakan sensor MPU6050. Data getaran direpresentasikan melalui fitur akselerasi tiga sumbu (ax, ay, dan az) serta fitur statistik berupa mean dan Root Mean Square (RMS). Dataset yang digunakan terdiri atas 4.406 sampel yang dikelompokkan ke dalam dua kelas, yaitu kondisi air mengalir dan pipa kosong. Tahapan penelitian meliputi pra-pemrosesan data menggunakan StandardScaler, penanganan ketidakseimbangan kelas menggunakan Synthetic Minority Over-sampling Technique (SMOTE), serta pelatihan model menggunakan algoritma Random Forest dan Support Vector Machine (SVM). Hasil pengujian menunjukkan bahwa Random Forest memperoleh akurasi 95,92%, presisi 96,60%, recall 96,22%, dan F1-score 96,41%, sedangkan Support Vector Machine (SVM) memperoleh akurasi 95,80%, presisi 95,50%, recall 97,21%, dan F1-score 96,35%. Hasil tersebut menunjukkan bahwa kedua algoritma mampu mengklasifikasikan kondisi aliran air dengan baik, dengan Random Forest memberikan performa keseluruhan yang sedikit lebih unggul dibandingkan Support Vector Machine (SVM). Penelitian ini menunjukkan bahwa data getaran dari sensor MPU6050 berpotensi digunakan sebagai solusi pemantauan kondisi aliran air secara non-intrusif pada sistem distribusi air.
Integrated Wastewater Processing using Electrogoagulation Method into Oxyhydrogen (HHO) for Renewable Energy Rusdianasari Rusdianasari; Ahmad Taqwa; Aida Syarif; Yohandi Bow
IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Vol 9, No 1 (2024): February 2024
Publisher : IJFAC (Indonesian Journal of Fundamental and Applied Chemistry)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24845/ijfac.v9.i1.48

Abstract

Integrated wastewater is one of the contributors to wastewater that can harm the environment, thus fast industrial expansion must be followed by advancements in wastewater processing systems. Because the presence of contaminants in integrated wastewater can cause several issues for persons and the environment, integrated wastewater processing is required. One type of integrated wastewater processing is the production of hydrogen gas as a new and sustainable energy source. The electrocoagulation process may be used to convert integrated wastewater into hydrogen gas. One type of integrated wastewater processing is the production of hydrogen gas as a new and sustainable energy source. The electrocoagulation process may be used to convert integrated wastewater into hydrogen gas. In this study, oxyhydrogen (HHO) was produced from integrated wastewater utilizing two process stages: integrated wastewater processing with an electrocoagulator, followed by the process of getting HHO using an oxyhydrogen reactor. A NaOH catalyst was applied at different concentrations of 0.1 M, 0.2 M, 0.3 M, 0.4 M, and 0.5 M with an electrolysis period of 5 minutes to produce hydrogen gas. The addition of the NaOH catalyst is intended to find the optimal concentration for the production of hydrogen gas. According to the findings of the study and analysis, the optimal NaOH catalyst concentration for producing hydrogen gas is 0.5 M with hydrogen content of 346 mg/m3.Keywords: electrocoagulation, oxyhydrogen, integrated wastewater, renewable energy
Cat Feeding Using Microcontroller Arduino Uno TCS3200 Sensor and Internet of Things Handava Wardana; Irma Salamah; Ahmad Taqwa
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26529

Abstract

Petting animals is one way for humans to reduce stress levels and entertain themselves. When coming home from work, a person needs entertainment at home, namely by keeping cute animals; one of the attractive and widely kept pets is a cat. The presence of cats in the house can help restore mood or feelings, and animals that like to be invited to play. For that, the owner must love his own pet without reducing affection for his pet; a cat's diet must be maintained even though the owner is busy working, especially outside the city, because cats need a good diet. Therefore, the purpose of doing this research is to facilitate cat owners in feeding while doing other activities outside the home. In addition, previous research still cannot feed the cat automatically but can monitor the state of cat activity. This tool uses several sensors, namely the RTCDS3231 sensor, TCS3200, Load Cell, HX711, ESP32CAM. The results obtained are Cat Feeding Using Arduino Uno Microcontroller TCS3200 Sensor, and Internet of Things is a tool system that can notify that the feed has run out, can feed the cat automatically, and can find out the activity of the cat by using the sensor. Several pet shop parties strongly agree that this tool is very helpful, namely to reduce the worry of the owner in feeding the cat. 
Website-Based Information Management and Temperature and Air Quality Monitoring System Using ESP32 Eliza Fitri Ramadanti; Ahmad Taqwa; Adewasti Adewasti
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i2.27852

Abstract

The development of Internet of Things (IoT) technology has created new opportunities for improving information management and environmental monitoring in healthcare facilities. Puskesmas Makrayu Palembang currently relies on conventional information dissemination methods, resulting in limited accessibility and inefficient information updates. This study aims to design and implement a website-based information management and environmental monitoring system using Arduino Uno as the main controller and ESP32 as the communication module. The proposed system integrates a website-based information management platform, Firebase Realtime Database, P10 LED matrix display, DHT22 temperature sensor, MQ135 air-quality sensor, and buzzer notification mechanism within a unified IoT architecture. The research adopted a system development approach consisting of literature study, field observation, system requirement analysis, system design, implementation, and testing. The implementation results demonstrated that website data synchronization, Firebase communication, ESP32 connectivity, LED matrix display operation, sensor integration, and overall system integration were successfully achieved during prototype testing. Information entered through the website could be displayed correctly on the running-text display in real time, while environmental information obtained from the DHT22 and MQ135 sensors could be processed and displayed simultaneously. The evaluation focused on functional verification of communication, synchronization, display operation, and sensor integration within a prototype environment. However, the system was evaluated only at the prototype level due to limited deployment opportunities and research time constraints, and therefore does not yet fully represent continuous operational conditions in healthcare facilities. Consequently, aspects such as long-term ESP32–Firebase communication stability, data transmission latency, system consistency under prolonged operation, and performance under high communication loads were not evaluated in this study. The proposed system nevertheless provides a practical foundation for integrated healthcare information management and environmental monitoring applications in primary healthcare facilities.
Internet of Things-Based Water Quality Monitoring and Automatic Feeding for Catfish Ponds Using Mamdani Fuzzy Logic Muhammad Gian Azzra Ramadhan; Ahmad Taqwa; Mohammad Fadhli
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9857

Abstract

Manual water-quality monitoring and schedule-based feeding may delay responses to unsuitable pond conditions and lead to inappropriate feed dispensing in catfish cultivation. This study developed an Internet of Things (IoT)-based monitoring and automatic feeding system that evaluates water temperature and pH using Mamdani fuzzy inference. The prototype integrates an ESP32 microcontroller, temperature and pH sensors, an ultrasonic sensor for feed-level monitoring, and a servo motor for feed dispensing. Temperature and pH measurements are classified into five linguistic categories and evaluated through a 25-rule base to produce a binary Feed ON or Feed OFF decision. Sensor validation yielded accuracies of 95.52% for temperature measurement, 95.87% for pH measurement, and 95.97% for ultrasonic distance measurement. Validation using five representative input combinations showed that all program outputs matched the expected rule-base decisions, resulting in 100% decision conformity for the tested cases. During seven days of field monitoring, all 21 evaluations conducted at 09:00, 15:00, and 21:00 produced Feed ON because the paired temperature and pH measurements satisfied the minimum rule-base requirements. Web and mobile dashboards displayed sensor measurements, feed availability, device status, operating mode, and feeding activity in real time. The main contribution is a compact and interpretable mechanism that performs condition-based feeding decisions locally on the ESP32 while supporting remote supervision through IoT interfaces. The results indicate adequate sensor performance and consistent fuzzy decision implementation under the tested conditions.
Performance evaluation of a solar-powered thermoelectric cool box with GSM-IoT monitoring for coastal fisheries Shaffa Shaffa; RD Kusumanto; Ahmad Taqwa
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.
PIR-Activated Solar-Powered Variable Ultrasonic Rodent Repellent for Rice Barn Rizkia Meyliana; Ahmad Taqwa; Suroso
CYCLOTRON Vol 9 No 02 (2026): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ct.v9i02.32045

Abstract

Rodent disturbance in traditional rice barns is a post-harvest problem in remote rural villages because stored rice is vulnerable to damage, contamination, and quality degradation. Previous ultrasonic pest-control studies focused on outdoor rice-field environments, whereas rodent control during post-harvest storage in rice barns remains underexplored. This research aims to develop and evaluate a PIR-activated solar-powered variable ultrasonic rodent repellent prototype for rice barn applications. The study employed a Research and Development approach consisting of hardware design, system design, and device evaluation. The prototype integrates Arduino Uno, PIR sensor, ultrasonic speaker, LCD, solar panel, solar charge controller, and 12 V battery. The PIR sensor detects movement and activates ultrasonic output within the 20–100 kHz range. Variable ultrasonic frequency was applied to minimize rodent habituation and identify frequency ranges producing stronger behavioral responses. Testing included solar panel performance, component voltage, PIR sensor distance, and visual observation of rodent behavior. The solar panel produced stable 30 W output, and all components operated effectively at required voltages. The PIR sensor detected movement within 1–3 m, suitable for traditional rice barn areas of 3 × 4 m. Ultrasonic testing identified two sensitivity points within 30–70 kHz, with the strongest response at 70–79 kHz. The prototype is feasible as a non-chemical, energy-independent solution for traditional rice barns.
Co-Authors Abdul Rakhman Abdurrachman Faiz Ade Silvia Handayani Adewasti Adewasti Adewasti Aditia Prathama Aida Syarif Aknes Tasia Pratama Alpha Rabbi Sugara Altrucia Pinem Amperawan Amperawan Bayu Sanjaya Ciksadan Ciksadan Dimas Andreansyah Dina Hervita Eliza Fitri Ramadanti Evelina, Evelina Fatahul Arifin Felisia Talitha Aprilia Hafizh Ulwan Handava Wardana Hesti, Emilia Ihsan Mustaqiim Indri Ariyanti Irma Salamah Isa, Indra Griha Tofik Juriawan Raja Saputra Lindawati Lindawati Lindawati Lusi Risky Faradila M. Ardiansyah Martinus Mujur Rose Masayu Anisah Mila Mila Mohammad Fadhli Muhammad Gian Azzra Ramadhan Muhammad Rayyan Harahap Nadia Miranda Narita Tria Almirah RD Kusumanto RD. Kusumanto Rizkia Meyliana Rosita Efriyanti Rusdianasari Rusdianasari Sabilal Rasyad Shaffa Shaffa Sholihin Sholihin Siti Fatima Sopian Soim, Sopian Suci Putri Widyani Suroso Suroso Suroso Syanno Revy Widia Salsabila Yanita Fibriliyanti Yohandi Bow