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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Coding: Jurnal Komputer dan Aplikasi Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Informatika Upgris Jurnal Khatulistiwa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI CYBERNETICS JURIKOM (Jurnal Riset Komputer) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi dan Sistem Tertanam Djtechno: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Informatika Polinema (JIP) The Indonesian Journal of Computer Science Jurnal Media Informasi Teknologi Mekongga: Jurnal Pengabdian Masyarakat Edu Komputika Journal Journal of Renewable Energy and Smart Device
Rahmi Hidayati
Universitas Tanjungpura
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Monitoring Dan Controlling Aktivitas Tidur Menggunakan Smart Belt Berbasis Internet of Things Gunawan, Gunawan; Hidayati, Rahmi; Suhery, Cucu
Techno.Com Vol. 24 No. 3 (2025): Agustus 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i3.12983

Abstract

Tidur adalah aktivitas penting untuk pemulihan energi, perbaikan sel, dan pengaturan hormon. Tidur yang nyenyak dan optimal bergantung pada posisi tidur yang nyaman dan durasi yang cukup. Namun, banyak orang yang masih mengabaikan faktor-faktor tersebut, sehingga mengakibatkan pengalaman tidur yang kurang nyenyak. Penelitian ini bertujuan untuk mengembangkan perangkat Smart Belt untuk memantau dan mengatur posisi dan durasi tidur dengan menggunakan sensor akselerometer dan sensor denyut jantung. Pengujian terdiri dari 30 uji coba deteksi posisi tidur, 30 pengukuran durasi tidur, dan 60 evaluasi sistem secara keseluruhan. Hasil penelitian menunjukkan bahwa sensor akselerometer dapat mengidentifikasi dan mendeteksi posisi tidur dengan akurasi 100%, sedangkan sensor denyut jantung menentukan durasi tidur berdasarkan denyut jantung dengan akurasi 83,33%. Secara keseluruhan, sistem Smart Belt beroperasi dengan akurasi 88,33%. Kata kunci: Posisi Tidur, Durasi Tidur, Sabuk Pintar, Internet of Things
Sistem Klasifikasi Kualitas Udara dengan Integrasi Sensor menggunakan Metode K-Nearest Neighbor Achyar, Athif Tafrihan; Hidayati, Rahmi; Sari, Kartika
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.90728

Abstract

Kualitas udara yang buruk dapat berdampak negatif pada sistem respirasi manusia dan dampak kesehatan lainnya, sehingga pemantauan kualitas udara berperan penting terhadap permasalahan ini. Penelitian ini mengembangkan sistem klasifikasi kualitas udara secara real-time menggunakan metode K-Nearest Neighbor (KNN) dan data dari 4 sensor: GP2Y1010AU0F (PM₂.₅), MQ-135 (CO₂), MQ-131 (O₃), dan MQ-7 (CO). Sistem terdiri dari sensor yang terintegrasi dengan ESP32, penyimpanan cloud menggunakan Firebase, dan antarmuka web untuk pemrosesan serta visualisasi data. ESP32 berfungsi mengumpulkan data dari sensor dan mengirimkannya ke Firebase, yang kemudian diakses oleh aplikasi web untuk klasifikasi menggunakan algoritma KNN. Klasifikasi dilakukan dalam 4 kategori: baik, sedang, buruk, dan sangat buruk, dengan hasil ditampilkan di antarmuka web untuk pemantauan selama 24 jam terakhir. Pengujian menggunakan confusion matrix dengan 900 data latih dan 600 data uji menunjukkan tingkat akurasi sebesar 98,67%. Selain itu, pengujian crossvalidation dengan k=3 menghasilkan akurasi sebesar 99,39%.
Implementation of Door Lock System Using Keyword and RFID Suwanty, Erina; Hidayati, Rahmi; Sari, Kartika
Jurnal Media Informasi Teknologi Vol. 2 No. 2 (2025): Oktober 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v2i2.240

Abstract

Doors are an important element in a building that serve as a connection between rooms. Generally, door locking systems are still conventional, which have several shortcomings, such as being easy to duplicate. Therefore, this study developed a door locking system using a keyword and RFID (Radio Frequency Identification), as combining two security systems enhances security quality. Testing was conducted by collecting data on the performance of the Voice Recognition module at randomly selected distances ranging from 20 to 100 cm, with intervals of 20 cm between the user's voice and the microphone. Then, the RFID capability was tested under two different conditions: the first condition where the RFID card was not covered by a cover, and the second condition using a cover to simulate the condition of the card being inside a wallet or case, and finally, the overall system testing. Based on the test results conducted in this study, using both sensors with a total of 40 data points, the overall system achieved 100% accuracy.
Klasifikasi Kecanduan Bermain Game online Pada Remaja Menggunakan Metode Naïve Bayes Classifier Berbasis Website Suci Pania, Tika; Hidayati, Rahmi; Kasliono, Kasliono
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1782

Abstract

The use of electronic devices such as cellphones, laptops, and others is often found for various reasons, including playing online games. Online games are very popular because they can relieve stress and can be played by various ages, one of which is teenagers aged 10-19 years. However, online games can be detrimental to teenagers. If a teenager plays online games for a long time, that teenager will become dependent on online games. This research creates a system that can help teenagers find out their level of addiction to online games, so that teenagers can overcome their addiction problems. This system classifies addiction to playing online games in teenagers with mild, moderate and severe levels using the Naïve Bayes Classifier method. This system can help teenagers control themselves when playing online games. In determining the level of online game addiction, 5 attributes are used, namely age, gender, place of play, type of game, and length of play. Testing with 150 data and tested with nine comparisons of training data and test data, namely 10:90, 20:80, 30:70, 40:60, 50:50, 60:40, 70:30, 80:20, and 90: 10. Testing is carried out using a confusion matrix to produce accuracy, precision, recall and error rate values. The highest accuracy value is found in comparing training data and test data of 40:60. Accuracy results were 93%, precision was 90%, recall was 89%, and error rate was 6.67%.
SISTEM PENYELEKSIAN KESEGARAN IKAN OTOMATIS BERBASIS ARDUINO UNO Herawati, Yunita; Nirmala, Irma; Hidayati, Rahmi
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 15 No. 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.881

Abstract

Fish is one of the foods that contain protein and has a high nutrient content, including minerals, vitamins, and unsaturated fats. The protein content in fish is relatively high. However, fish also contains adverse effects if it has undergone spoilage. Therefore, it is necessary to select fresh fish and non-fresh fish. Currently, fish freshness selection is still done manually by fishermen. This research builds a system that can identify freshness in mackerel which is expected to be an alternative solution in the process of selecting freshness of fish manually which takes a long time. By utilizing the TCS3200 sensor to identify the color of the fish and MQ135 to detect the smell of ammonia gas in the fish. This system uses Arduino Uno as the controller of the whole system. The results obtained from the selection process are in the form of fresh and not fresh fish that have been separated based on color and odor indicators, the data will be displayed on the LCD in the form of the accumulated weight of each fish that has been selected. The results of 30 times testing the entire system as much as 30 data obtained an accuracy value of 86.7%.
SISTEM PEMANTAUAN DAN KENDALI KUALITAS AIR BERBASIS ARDUINO CLOUD Hidayati, Rahmi; Ikhsan, Afif Muhammad; Nirmala, Irma
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 15 No. 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.885

Abstract

Fish farmers often face the problem of difficulty monitoring water quality from time to time. One method that can make it easier for fish farmers is to develop a system using the forward chaining method. This research aims to make it easier for fish farmers to monitor and control water quality automatically. This system can monitor and control automatically based on facts collected. Things to pay attention to in the system are the suitability level of temperature, pH, and turbidity in the water. The monitoring and control system using the forward chaining method functions 100% by the rules that have been fully implemented
The Application of Internet of Things (IoT) Technology in Agrotourism at Taman Inspirasi Strawberry Rasau Jaya Tiga Hidayati, Rahmi; Ristian, Uray; Nirmala, Irma; Suhery, Cucu; Sari, Kartika
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2025): November 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v2i2.246

Abstract

Agrotourism is a form of tourism that utilizes agricultural land and supporting facilities to attract visitors. One of the emerging agrotourism destinations in Rasau Jaya Tiga is Taman Inspirasi Strawberry (Strawberry Inspiration Park), which serves as a local agriculture-based tourist attraction. With technological advancements in the agricultural sector, innovations such as the Internet of Things (IoT) a concept that connects physical devices to the internet to automatically collect and exchange data without human intervention have enabled the implementation of automated plant irrigation systems. In this Community Service Program, an IoT-based automatic irrigation system was designed and implemented for strawberry cultivation. The system employs soil moisture and temperature sensors to regulate watering automatically and can be monitored via mobile devices. In addition to system installation, outreach and training sessions were conducted for park managers and participants to ensure proper system operation. The implemented IoT system successfully reduced irrigation time by 53.3% and water consumption by 41.6% compared to manual methods. Participant satisfaction reached 92%, with the highest ratings in the usefulness of the technology and the effectiveness of the training. These findings demonstrate that the application of IoT technology is effective in supporting plant maintenance and enhancing both productivity and the overall appeal of the Taman Inspirasi Strawberry agrotourism site.
Implementasi Support Vector Machine untuk Kendali Lampu Ruangan Adam, Chairul; Hidayati, Rahmi; Suhardi, Suhardi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 3 (2024): Maret 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.6964

Abstract

The use of lights in daily activities is a necessity for everyone. Lights are useful as lighting when the room has minimal light, so lights are needed in the room in the house. If there are many rooms in a house, there are also many lights used. Often users forget to turn on and off the lights in each room if done manually. An automatic control is needed to make it easier for users to turn on and off lights according to user habits. Support Vector Machine is used in this in this study to classify the condition of lights based on user habits when turning on and off the lights. User habit data used for 15 days with a total of 620 data. Testing was carried out for 3 days with a total of 72 data. The results of system testing obtained the accuracy value of kitchen lights by 87.50%, accuracy of main room lights by 95.83%, accuracy of second room lights by 91.67%, accuracy of living room lights by 95.83%, accuracy of terrace lights by 95.83%, and accuracy of toilet lights by 94.44%.
Sistem Deteksi Dini dan Pemadaman Kebakaran Otomatis di Rumah Berbasis IoT Menggunakan NodeMCU ESP32 Saputra, Dimas Bagus; Hidayati, Rahmi; Suhardi, Suhardi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 3 (2024): Maret 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.6974

Abstract

Fire is a serious disaster that causes significant losses in terms of both material assets and loss of life, especially in densely populated residential areas. Fires that occur in one house can easily spread to other houses. To prevent this issue, an early fire detection and automatic fire suppression system has been developed for homes based on the Internet of Things (IoT) using NodeMCU ESP32. This system has the ability to detect early signs of fire, gas, and temperature conditions, and takes automatic action when potential fire hazards are detected. Additionally, the system sends real-time push notifications to users' Android applications to provide warning messages. Test results indicate that the fire sensor can detect flames up to a distance of 130 cm with an average notification delay of approximately 2,37 seconds. The MQ-2 gas sensor can detect butane gas up to a distance of 170 cm with an average notification delay of about 2,84 seconds, while the DHT22 temperature sensor has an average accuracy of approximately 98,52% with a notification delay of about 2,03 seconds.
Implementasi Real Time Operating System (RTOS) Pada Sistem Pemantauan Kadar Alkohol Dan Suhu Dalam Proses Fermentasi Tape Ketan Marettania, Felisitas; Nirmala, Irma; Hidayati, Rahmi
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.13975

Abstract

Tape ketan merupakan makanan tradisional Indonesia yang umumnya diproduksi secara manual dengan pengawasan berkelanjutan, sehingga memerlukan waktu lama dan tenaga kerja intensif. Proses manual yang mengharuskan membuka dan menutup wadah fermentasi secara berkala, berisiko menyebabkan kontaminasi dan menurunkan kualitas produk. Penelitian ini bertujuan mengimplementasikan Real Time Operating System (RTOS) pada sistem produksi tape ketan untuk merespons perubahan kondisi secara cepat dan memastikan parameter fermentasi tetap optimal. Perangkat keras yang digunakan terdiri dari sensor uap alkohol, sensor suhu, dan mikrokontroler ESP32, sedangkan perangkat lunak menggunakan firebase real time database dan antarmuka website. Pengujian dilakukan dengan membandingkan proses fermentasi tanpa RTOS dan dengan RTOS menggunakan waktu deadline 1000 ms dan interval pengambilan data setiap 1 jam. Komposisi tape ketan terdiri dari 100 gram beras ketan putih dan 1 gram ragi. Hasil pengujian menunjukkan persentase performa eksekusi dengan RTOS sebesar 98,53%, sedangkan tanpa RTOS sebesar 79,02%. Penerapan RTOS berhasil mempercepat proses fermentasi tape ketan hingga 12 jam lebih cepat. Implementasi RTOS terbukti efektif meningkatkan efisiensi produksi dan kualitas tape ketan.   Kata Kunci - Real Time Operating System (RTOS), Fermentasi, Tape Ketan, Persentase Performa Eksekusi
Co-Authors Achyar, Athif Tafrihan Adam, Chairul Agus Harjoko Aji, Maulana Setia Alfikri, Nadya Syifa Andreni, Gracella Aqila Zulfahmi Putri, Nessa Ariansyah Sudarsono Arif Rahmawan Arif Rahmawan Aris Fajrianto Basuki Ilham, Maulana Cucu Suhery Cucu Suhey Darmawansyah Darmawansyah Dea Rizki Febrinamas Dedi Triyanto Deni Deni Destia Arini Hairunnisa Dwi Marisa Midyanti Dwi Marisa Midyanti Ellif Ellif Fajar Mu'alim Firdaus, Nurul Fajri 'Aini Fransiskus Julian Adresman Frasila Frasila Gloria, Bela Priska Gunawan Gunawan Hafiz Muhardi Herawati, Yunita Hirzen Hasfani Ika Nurul Hidayah Ikhsan, Afif Muhammad Ikhwan Ruslianto Ilhamsyah Irma Nirmala Irmina Rika Irvando Aldo Renaldy Irwan Guntoro Irwan Guntoro Jaka, Jaka Junianti, Suci Kaffi, Muhammad Syahrul Kartika Sari Kartika Sari Kasliono Kasliono Kresna Satya Nugroho Krisna Madani Lestari, Ayu Lathalia Lestarry, Indah Advia Lindini Afira Marettania, Felisitas Marisa Midyanti, Dwi Michael Michael Muhamad Reksy Mulia Muhammad Luthfi Nur Fitriana Putri Nurfitri Imro'ah Nurfitri Imro'ah Nurul Mutiah NUR’AINUL MIFTAHUL HUDA PERMADANI, CHANDRA MONICA Pratama, Rakha Daffa Primus Mario Andaka Ginting Putra, Bima Rahmanita Widiyanti Rahmawan, Arif Riska Wulandari, Riska Rizky Risan R Sampe Hotlan Sitorus Saputra, Dimas Bagus Saputra, Yoga Sari, Ita Permata Subri, Hafiz Adlan Afrigi Suci Junianti Suci Pania, Tika Suhardi Suhardi Suhardi Suhardi Suwanty, Erina Sy Kamal Baraqbah Syamsul Bahri Syamsul Bahri Sylviana Kusuma Tedy Rismawan Teodora Fenny Aliansih Uray Ristian Utami, Retnaning Tyas Vidyana, Irma Yunita Erniajan