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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ekobistek JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknologi Informasi dan Pendidikan Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Jurnal UNITEK Journal of Computer Scine and Information Technology Jurnal Ipteks Terapan : research of applied science and education Jurnal Sains Informatika Terapan (JSIT) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Teknologi Jurnal Quancom: Jurnal Quantum Komputer Jurnal Teknik dan teknologi tepat guna The Indonesian Journal of Computer Science Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Ilmu Komputer dan Informatika Culture education and technology research
Retno Devita
Universitas Putra Indonesia YPTK Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Rancangan Bangun Smart System Pelayanan Pencucian Kendaraan Mengunakan Mikrokontroler Berbasis Web Fajar Alvin Tariq; Retno Devita; Hadi Syahputra
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.147

Abstract

This tool makes it easier to service vehicle washing, with a smart vehicle washing service system, consumers' personal data is directly stored on the website. Where we no longer need to record consumer personal data in books. Where usually the personal data of consumers who have washed vehicles that are still recorded in the book are usually stored and can be lost or damaged. With this tool, personal data from washing consumers can be downloaded and it is simpler to store consumer data. This tool uses several components such as Arduino Mega as the main controller, ESP 8266 as a link between the hardware and the web, then there is a Keypad that is used to enter vehicle license plates, push buttons to select the type of vehicle, and RFID sensors to detect consumers who have become customers. members.
Rancang Bangun Celengan Interaktif Berbasis Mikrokontroler Dan Android Jeffrey Christian Effendi; Retno Devita; Ondara Eka Putra
Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i1.152

Abstract

Interactive technology is part of technological developments that can attract the attention of various groups ranging from children, teenagers and the elderly. This interactive technology has developed evenly in various aspects, one of which is financial education. Financial education is an important aspect in the development of children so they can manage finances wisely from an early age. In this era, piggy banks are still used to teach children how to save money properly and correctly. However, children are slowly starting to get bored and their intention to save is decreasing, this is because the piggy bank still has a monotonous storage method and lacks appeal, so children are starting to lose interest in saving their money. One of the media that can increase children's interest in saving is an interactive piggy bank, this media is equipped with ESP32, button, LED, DFplayer, speaker, infrared sensor, color sensor, proximity sensor, stepper motor, relay, solenoid, 16x2 LCD and telegram so that The technology and media developed, interactive piggy banks not only calculate the total number of coins and banknotes, but can also interact directly with children and increase children's understanding of saving money in a good and correct way. By using this method, children will be interested in using interactive piggy banks. Slowly, children's interest in saving will begin to increase and they will start to get used to saving money again.
Sistem Keamanan Boarding Gate Menggunakan Face Recognition, Fingerprint Dan E-Ktp Berbasis Iot Nurul Afifah; Retno Devita; Mardiah Masril
Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i1.154

Abstract

The development of technology using biometrics has become a trend that is currently widely used in the modern era. This involves an identification process using biological information such as fingerprints, retinas, and other body parts. The problem that occurs is the identity check before entering the departure gate which is done manually, such as looking at the E-KTP officer, the passenger's face according to the KTP, and the ticket. Airport officials will ensure that the passenger has the correct ticket, check identity and then compare the similarities between the personal data stated therein, before confirming that the data is the same and meets security requirements before allowing entry onto the plane. The departure gate security system utilizes Esp32-Cam input, Rfid Reader, Fingerprint Sensor and Esp8266 output, Google Sheet, Servo, LED, LCD and Buzzer. Esp32-Cam can verify faces, then the LCD will display information that the face verification was successful, the fingerprint sensor detects fingerprints and the RFID Reader detects E-KTP. This tool is processed with an Arduino Mega 2560 microcontroller as a connection.
Rancang Bangun Alat Pembuat Pupuk Otomatis Berbasis Arduino ATmega Adif Violenta Arpa; Retno Devita; Ondara Eka Putra
Journal of Computer Scine and Information Technology Volume 10 Issue 4 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

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Abstract

Designed and developed an automatic organic fertilizer maker using Arduino ATmega microcontroller. This tool is designed to automate the process of making organic fertilizer which usually requires a lot of energy and time. This system is equipped with temperature, humidity, and pH sensors that function to monitor the condition of the compost material in real-time. In addition, this tool is also equipped with an automatic stirring mechanism that operates based on predetermined parameters. All sensor data is processed by Arduino ATmega, which then controls the stirring motor to ensure even mixing and optimal fermentation. The developed prototype has been tested and shows that this system can operate well, producing quality organic fertilizer with minimal human intervention. The implementation of this tool is expected to increase the efficiency of organic fertilizer production and reduce dependence on less efficient traditional methods. This innovation also has the potential to support sustainable agriculture by providing a more effective and environmentally friendly alternative in fertilizer production.
Implementasi Computer Vision Dalam Deteksi Dan Klasifikasi Sampah Otomatis Pada Sistem Pengolahan Limbah Perkotaan Akbar Lusman; Retno Devita; Ondra Eka Putra; Eva Rianti; Fajrul Islami
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.956

Abstract

Waste is a very serious environmental problem commonly faced by Indonesians. According to data from the National Waste Management Information System (SIPSN), Indonesia's waste volume reached 20.02 million tons in 2022. In Indonesia, the amount of waste generated reached 65 million tons per day in 2016 and increased to 66.5 million tons in 2018. The amount of waste in Indonesia continues to increase annually. In large cities, waste management is an increasingly pressing challenge, given the negative impacts caused by improper management, such as waste accumulation in landfills (TPA), water and air pollution, and public health issues. This study aims to design and implement an automatic waste classification system based on Computer Vision technologies as a solution for urban waste management. The system utilizes an Arduino Mega 2560, camera, ultrasonic sensor, servo motor, and conveyor to detect and classify five main types of waste: plastic, paper, glass, metal, and organic materials in real time. The camera captures images of waste, which are then analyzed using a Computer Vision model, while sensors and actuators control the flow and physical sorting process. This research seeks to improve waste processing efficiency by reducing human involvement in hazardous tasks and to promote the application of intelligent technologies in supporting sustainable recycling systems and reducing the burden on final disposal sites (landfills). The system created can detect and classify waste types well.
Rancang Bangun dan Pengembangan Mesin Jahit Otomatis Berbasis IOT Menggunakan Jaringan WI-FI Wilyam Sepriani; Retno Devita; Elmi Rahmawati
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 3 (2026): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Perkembangan teknologi otomasi dan Internet of Things (IoT) telah memberikan peluang besar dalam meningkatkan efisiensi sistem produksi pada berbagai bidang industri, termasuk industri tekstil. Proses menjahit yang masih dilakukan secara manual sering menimbulkan kendala seperti ketidak konsistenan hasil jahitan, keterbatasan efisiensi waktu, serta ketergantungan pada keterampilan operator. Penelitian ini bertujuan untuk merancang dan mengembangkan mesin jahit otomatis berbasis Internet of Things (IoT) yang dapat dikendalikan melalui jaringan Wi-Fi sehingga mampu meningkatkan efektivitas proses produksi. Sistem yang dirancang menggunakan mikrokontroler Arduino Uno sebagai pengendali utama, NodeMCU ESP8266 sebagai modul komunikasi jaringan, serta motor stepper dan CNC Shield sebagai penggerak mekanik sistem. Selain itu, aplikasi Blynk digunakan sebagai antarmuka untuk monitoring dan kontrol sistem secara jarak jauh. Pengujian sistem dilakukan untuk memastikan setiap komponen dapat bekerja sesuai dengan rancangan serta mampu menjalankan perintah otomatis dengan stabil. Hasil penelitian menunjukkan bahwa sistem mesin jahit otomatis yang dirancang dapat beroperasi dengan baik, merespons perintah secara real-time, serta menjalankan proses jahit sesuai instruksi program. Implementasi sistem ini menunjukkan bahwa integrasi teknologi IoT pada mesin jahit mampu meningkatkan efisiensi kerja, kemudahan pengoperasian, serta mendukung pengembangan sistem otomatisasi di bidang industri tekstil.
Rancang Bangun Permainan Simon Says Untuk Meningkatkan Daya Ingat & Respon Siswa Sekolah Dasar Ibnu Michael Jasman; Retno Devita; Ondra Eka Putra
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 3 (2026): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Perkembangan kecerdasan pada siswa sekolah dasar terutama dalam aspek daya ingat dan kecepatan respons merupakan fondasi penting dalam proses pembelajaran. Namun, metode konvensional yang bersifat monoton dan kurang melibatkan aspek sensorimotor seringkali menurunkan motivasi dan minat belajar siswa. Untuk itu, penelitian ini merancang dan membangun sebuah permainan interaktif “Simon Says” berbasis mikrokontroler yang dirancang khusus untuk meningkatkan daya ingat dan kecepatan respons siswa SD. Mode pertama berfokus pada peningkatan respon dan fokus melalui rangkaian perintah yang harus dilakukan. Mode kedua menitik beratkan pada peningkatan daya ingat. Terakhir mode 3 menggabungkan focus dan daya ingat. Diharapkan inovasi ini tidak hanya meningkatkan aspek kognitif siswa meliputi working memory dan reaksi sensorimotor tetapi juga memacu minat belajar anak yang selama ini rendah akibat metode tradisional yang membosankan
PERBANDINGAN KERNEL PENAJAMAN, GAUSSIAN BLUR DAN DETEKSI TEPI PADA CITRA OTAK Retno Devita; Ondra Eka Putra; Eva Rianti
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2271

Abstract

Citra otak merupakan gambar yang didapat dari proses pencitraan otak melalui teknologi medis seperti MRI (Magnetic Resonance Imaging), CT scan (Computed Tomography), atau PET scan (Positron Emission Tomography). Citra ini memberikan visualisasi dari struktur otak secara terperinci dan digunakan untuk mendeteksi atau mendiagnosa kondisi otak. Citra otak yang digunakan pada penelitian ini sebanyak 5 citra otak yang diproses menjadi 30 citra otak. Penelitian ini membandingkan kinerja kernel 7x7 dan 9x9 pada tiga jenis operasi utama dalam pengolahan citra otak yaitu penajaman, gaussian blur, dan deteksi tepi. Kernel penajaman diterapkan untuk memperjelas struktur halus dari citra, gaussian blur digunakan untuk mereduksi noise citra dan deteksi tepi bertujuan mengidentifikasi batas anatomi otak. Perbandingan dilakukan dengan mengevaluasi hasil dari dua ukuran kernel terhadap kualitas visual, tingkat detail, dan keberhasilan dalam mengidentifikasi fitur penting otak. Nilai tertinggi dari 5 citra yang didapat adalah kernel penajaman 7x7 pada citra 5 dengan MSE 4.832.932.323, RMSE 69.519.295 dan PSNR 11.288696 dB dan nilai terendahnya adalah kernel gaussian blur 9x9 pada citra 1 dengan MSE 16.747.259.747, RMSE 129.411.204 dan PSNR 5.891366 dB. Kesimpulannya, hasil terbaik pada penelitian ini adalah kernel 7x7 dilihat dari nilai PSNR.
ANALISIS VISUALISASI DATA PASIEN GIGI DAN MULUT DENGAN ALGORITMA K-MEANS BERBASIS WEB Putri Salma; Eva Rianti; Liga Mayola; Retno Devita; Ondra Eka Putra
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6579

Abstract

RSGM Baiturrahmah serves as a medical institution that generates a high volume of daily patient records. However, this wealth of data has not been optimally utilized by management as a primary consideration for strategic decision-making. The identified core problem is the absence of comprehensive patient characteristic mapping, which often leads to an uneven distribution of medical resources. To address this critical issue, this study applies advanced data mining techniques using the K-Means Clustering algorithm to group 1,708 dental and oral disease patient records. The clustering process was conducted by determining three main clusters based on three crucial attributes patient age, the total number of diagnoses received, and the duration of medical service provided. The results of this study successfully classify all patients into three specific service categories, namely Basic Service, Intermediate Service, and Intensive Service. This research also produced a comprehensive web-based decision support system developed using the Python programming language and MySQL database. The system is specifically designed to assist the management of RSGM Baiturrahmah in accurately visualizing the characteristics of each patient group. With the successful implementation of this system, hospital management can be more effective in formulating highly personalized and targeted service strategies for every patient group.
Implementasi Computer Vision Dalam Deteksi Dan Klasifikasi Sampah Otomatis Pada Sistem Pengolahan Limbah Perkotaan Akbar Lusman; Retno Devita; Ondra Eka Putra; Eva Rianti; Fajrul Islami
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.956

Abstract

Waste is a very serious environmental problem commonly faced by Indonesians. According to data from the National Waste Management Information System (SIPSN), Indonesia's waste volume reached 20.02 million tons in 2022. In Indonesia, the amount of waste generated reached 65 million tons per day in 2016 and increased to 66.5 million tons in 2018. The amount of waste in Indonesia continues to increase annually. In large cities, waste management is an increasingly pressing challenge, given the negative impacts caused by improper management, such as waste accumulation in landfills (TPA), water and air pollution, and public health issues. This study aims to design and implement an automatic waste classification system based on Computer Vision technologies as a solution for urban waste management. The system utilizes an Arduino Mega 2560, camera, ultrasonic sensor, servo motor, and conveyor to detect and classify five main types of waste: plastic, paper, glass, metal, and organic materials in real time. The camera captures images of waste, which are then analyzed using a Computer Vision model, while sensors and actuators control the flow and physical sorting process. This research seeks to improve waste processing efficiency by reducing human involvement in hazardous tasks and to promote the application of intelligent technologies in supporting sustainable recycling systems and reducing the burden on final disposal sites (landfills). The system created can detect and classify waste types well.
Co-Authors Adif Violenta Arpa Agung Ramadhanu Akbar Lusman Alifa Carradya Altof Fito Aulia Fitrul Hadi David Agustri Syafni Defnizal . Deval Gusrion Ega Firsty Ayu Pratiwi Elmi Rahmawati Emil Naf'an Enggari, Sofika Eva Rianti Fajar Alvin Tariq Fajrul Islami Finny Fitry Yani Gustina Putri Hadi Syahputra Halifia Hendri Haniva Budiana Deswary Hasri Awal Ibnu Michael Jasman Ilham Saputra Ipriadi - Ipriadi Ipriadi, Ipriadi Iskandar Fitri, Iskandar J, Shafa Adillah Jeffrey Christian Effendi Julius Santony Liga Mayola Lusi Andriani Mardhiah Masril Mardiah Masril Nanda Tommy Wirawan Nurhadi, Nurhadi Nurul Afifah Okta Andrica Putra Ondara Eka Putra Ondra Eka Putra Putri Salma Ramadhan Kamil Ratna Gusrianti Rionaldo Willian Putra Ruri Hartika Ruri Hartika Zain Ruri Hartika Zain Sarjon Defit Silfia Andini Silky Safira Sovia, Rini Sri Rahmawati Sumijan Sumijan Sumijan Sumijan Tika Syafriani Wahyudi, Niko Wilyam Sepriani Wirawan, Nanda Tommy Yogi Wiyandra Yogi Wiyandra Yuhandri Yuhandri, Yuhandri