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All Journal Journal of Intelligent Decision Support System (IDSS) Didaktika: Jurnal Kependidikan Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan
Handri Santoso
Universitas Pradita, Indonesia
Arts Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Prototype temperature monitoring system for medicine refrigeration in the pharmaceutical installation Willy Willy; Haryono Haryono; Handri Santoso; Ito Wasito
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 3 (2023): September : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i3.159

Abstract

Patient safety in a hospital is a healthcare service that is safe and non-harmful to patients. All components of healthcare services (doctors, nurses, and other health teams) in hospitals must be aware of and care about patient safety while in the hospital. One of the most important components is monitoring the temperature of the medicine refrigeration. Human resources or work overload often leads to the need for more monitoring of the temperature of medicine refrigeration. Therefore, IoT technology can be the solution to assist in monitoring the temperature of the medicine refrigerator. The method used in this study is observation. Based on the conducted research, it is proven that the IOT system for temperature monitoring can reduce missed temperature records. The results of this study indicate that the DHT22 sensors have good accuracy as they remain within the accuracy range of the room thermometer used as a reference,  with a temperature reading accuracy of ±1oC and a maximum temperature measurement limit of 70oC. The data collection process uses the ESP8266 as the microcontroller, which is then connected to the DHT22 module as a temperature and humidity sensor and sends a database every 30 seconds. The real-time temperature and humidity measurement results can be viewed through mobile apps using the Flutter programming language and the website. If the temperature exceeds 8oC, the fan LED will automatically turn on and send notifications to WhatsApp registered using Python and Twilio. Furthermore, the existing data can be analyzed using a machine learning model, enabling the prediction of when the refrigerator will be damaged as a preventive measure
PROTOTIPE APLIKASI SMART LIGHTING UNTUK MENGONTROL LAMPU JALAN BERBASIS ANDROID MENGGUNAKAN ESP32 Youzy Natasya; Handri Santoso
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, dan Pendidikan Vol. 2 No. 8 (2023): July
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v2i8.1298

Abstract

Lighting is essential in life as it provides a sense of security, especially when it comes to street lighting at night. However, negligence often leads to streetlights not functioning in dark conditions. The development of technology, particularly in the field of Internet of Things (IoT), enables devices to interact and exchange data through the internet network. Therefore, IoT technology has been developed to control streetlights remotely using a mobile application. This mobile application consists of three features for controlling the lights. First is the manual control, where users can adjust the intensity of the light emitted by the lamp. Second is the scheduled-based control, allowing users to set specific times for the lamp to turn on and off. Lastly, automatic control, which adjusts the lamp based on the ambient light conditions in the area. The prototype is implemented by designing an IoT system using the WiFi module on the ESP32 mictocontroller, LED lights, and an LDR sensor to measure light intensity. Additionally, a mobile application is developed to control the streetlights. Testing is conducted by controlling the lamps through the built application and gathering feedback through questionnaires to evaluate the usability of the appication’s interfaces. Based on the test results, the application effectively functions to control the streetlights according to the available features, and the application’s interface is user-friendly.
ANALISIS GAMBAR WAJAH PALSU: MENDETEKSI KEASLIAN GAMBAR YANG DIMANIPULASI MENGGUNAKAN METODE VARIATIONAL AUTOENCODER DAN FORENSICS DEEP NEURAL NETWORK Regina Angelika Septi Rahayu; Handri Santoso
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, dan Pendidikan Vol. 2 No. 9 (2023): August
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v2i9.1312

Abstract

Artificial intelligence (AI) is one of the technologies commonly used for automated computer systems. Artificial intelligence is designed to solve cognitive problems. The convenience provided by AI is sometimes misused, resulting in negative impacts on many people. One negative impact of AI technology misuse is deepfake. Deepfake is a technology used for image or video manipulation. The manipulation techniques used in deepfake are employed to alter images, such as faces, places, objects or even voices. Variational autoencoder (VAE) is a deep learning algorithm that can be used for facial manipulation. The result of the VAE process is an image obtained from the merging of original facial images during the training process. The new facial images generated from VAE training are called decoder images or manipulations. Both original facial images and manipulation facial images will be analyzed using the forensics deep neural network method. The analysis technique involves the use of error level analysis (ELA), which helps identify significant changes that occur in the images. Based on the testing results using both original and manipulated facial images, the applied method demonstrates the ability to detect real and fake images.
Analisa Kesiapan Sekolah dalam Pemanfaatan Teknologi untuk Pembelajaran Heriyanto; Handri Santoso
Didaktika: Jurnal Kependidikan Vol. 14 No. 1 Februari (2025): Didaktika Jurnal Kependidikan
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/27454312.1981

Abstract

Pemanfaatan teknologi memiliki potensi besar untuk memberikan kemudahan dan inovasi yang mendukung kegiatan pembelajaran. Namun, kesiapan sekolah, tenaga pendidik, serta fasilitas sekolah menjadi elemen penting dalam mendukung proses ini. Peran pendidik sangat vital dalam memastikan keberhasilan penerapan teknologi dalam pendidikan. Mereka harus memiliki keterampilan dan pengetahuan yang memadai tentang teknologi yang digunakan serta mampu beradaptasi dengan metode pengajaran modern. Oleh karena itu, pelatihan dan pengembangan profesional bagi tenaga pendidik sangat diperlukan agar teknologi dapat diintegrasikan secara efektif dalam proses pembelajaran. Dengan demikian, peserta didik dapat memperoleh manfaat maksimal dari penerapan teknologi.Tenaga pendidik juga perlu terus memperbarui pengetahuan mereka tentang teknologi pendidikan untuk mengikuti perkembangan terkini. Penelitian ini membatasi ruang lingkupnya pada analisis kuesioner yang diberikan kepada guru-guru kompeten untuk mengevaluasi kesiapan sekolah dalam memanfaatkan teknologi. Metode yang digunakan adalah kuantitatif dengan desain deskriptif, berfokus pada tiga aspek utama: Proses, Teknologi, dan Organisasi. Hasil penelitian menunjukkan bahwa pada aspek Proses, peningkatan keterampilan dalam kurikulum masih diperlukan. Di sisi lain, keterlibatan pemangku kepentingan dan metode penilaian sudah berjalan baik. Pada aspek Teknologi, perhatian lebih diperlukan pada penyimpanan digital dan analisis inovatif untuk mendukung kemajuan dalam era digital dan industri 4.0.
Co-Authors Haryono Haryono Heriyanto Ito Wasito Regina Angelika Septi Rahayu Willy Willy Youzy Natasya