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Development Edge Device Monitoring System Stunting and Malnutrition in Golden age 0–5 years Integrated with AI Widanti, Nurdina; Handini, Wike; Yanto, Nur Witdi; Alamsyah, Aditya
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6397

Abstract

Golden age is the best period for a child's growth, monitoring of growth and development must be carried out regularly. Growth and development disorders in children are stunting and malnutrition. This incident also prompted the government through the Ministry of Health to create a special program towards a golden Indonesia 2045 to monitor stunting and disease, especially in children. The prevalence of stunting decreased to 21.6% from 24.4% in 2022. Early detection of stunting and malnutrition, where the research object is children aged 0-5 years. This prototype was built using a load cell sensor, a study of the use of optical sensors and ultrasonic sensors to measure body height, and a MAX sensor to detect children's anemia. The integration of this tool combines IoT and AI. The results obtained to validate the use of load cells have a reading error of 0.01% with an accuracy of 99%. Comparison using optical sensors and ultrasonic sensors. Optical sensors have result average error of 0.01, accuracy 98.99%, ultrasonic sensors error was 0. 15 with 85% accuracy. To measure malnutrition, the anemia parameters were processed using the Dense Neural Network (DNN) model with 256 neurons showing an accuracy of 98.03%.
Design Smart Farming in Rice Field for Monitoring Soil Fertility and Pest Rate Using Internet of Things Widanti, Nurdina; Alamsyah, Aditya; Albus, Actor; Ikhsan, Ahmad Nur; Lestari, Sri Wiji; Handini, Wike; Raharjo, Sasmito Adi
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.8288

Abstract

Rice fields in Indonesia have a strategic role in providing food for the Indonesian population. The Central Statistics Agency (BPS) noted that domestic rice consumption also continues to increase, 98.35% of households in Indonesia consume rice. There are many influencing factors for production rice such as pest, climate change. The aim to optimize rice production by monitoring soil moisture and soil pH and adding protection features to detect rat pests. This tool was built using an Internet of Things-based system integration method, where the system output can be monitored on the blynk and email applications for the reading history of rat pests if they are caught on camera. The results obtained from the system are Soil moisture sensor readings have a system accuracy of 99% with an error value of 0.01. And the pH sensor reading has an accuracy of 99% with an error of 0.015. The most optimal PIR sensor reading is 1 meter and this data is sent simultaneously with the camera sensor via email. Monitoring data on rice agricultural land by adding rat pest protection features, as well as historical data can be captured wellcan provide a strong basis for the development of more effective and sustainable.
Prototype Design of Micro Hydro Power Plant with Utilization of Irrigation Water in Rice Fields Based on IoT Handini, Wike; Widanti, Nurdina; Lestari, Sri Wiji; Haqq, Ahmad Raafi; Hafizh, Ahmad; Mulyadi, Bagus
Jurnal Penelitian Pendidikan IPA Vol 10 No 9 (2024): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i9.8553

Abstract

Irrigation water on the rice field embankments aims to irrigate the rice fields properly, in this study irrigation water is increased not only as a source of water for rice growth but also as an electricity supply around the rice fields. Water will drive a turbine connected to a DC generator to produce a DC electricity source. Then the electricity generated will be monitored using the IoT (Internet of Things) application. The results obtained areof 12 volts, with a water height of 0.98 meters, a water volume of 0.22 m3, and from these results the system can provide electricity supply for smart farming which is applied around the rice fields, from these results it is hoped that rice production can increase and also farmer independence in electricity supply can be created
Interdisciplinary Research Integration in Higher Education: A Case Study on the Development of an AI-Based Non-Invasive Hemoglobin Detection System Lestari, Sri Wiji; Widanti, Nurdina; Handini, Wike; Haqq, Ahmad Raafi; Alamsyah, Aditya
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.12961

Abstract

This study examines the effectiveness of Project-Based Learning (PBL) in the development of a non-invasive hemoglobin detection system using photoplethysmography (PPG) integrated with artificial intelligence. A quasi-experimental design was applied to 26 Electrical Engineering students enrolled in Big Data Analysis, Sensor Design, and Embedded Systems courses. Students worked in groups to design, implement, and test prototypes. Data were collected through project rubrics, questionnaires, observations, and reflections, and were analyzed to determine the effectiveness index. The results revealed an overall effectiveness index of 3.8, categorized as good. The highest score was achieved in the affective aspect (4.2), reflecting strong motivation, proactive attitudes, and teamwork. Cognitive (3.9) and reflection (3.8) aspects also showed positive outcomes, while psychomotor (3.6) and product quality (3.5) remained weaker due to technical issues, including prototype accuracy and troubleshooting difficulties. The study demonstrates that PBL effectively integrates theory and practice, enhances 21st-century skills, and fosters meaningful learning experiences. Additionally, the findings highlight the potential of incorporating advanced technologies into engineering education while contributing to innovative health technology solutions for addressing malnutrition.
Pelatihan Manajemen Usaha dan Strategi Pemasaran bagi Usaha Mikro Kecil dan Menengah Cahaya Farm dalam Pengembangan Produk Selada Hidroponik Widanti, nurdina; Ningrum, Sari Sekar; Lestari , Sri Wiji; Handini , Wike; Imelda, Donna
Dedikasi:Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2025): Jurnal Dedikasi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/dedikasi.v6i1.416

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan di Green House (GH) Cahaya Farm, sebuah usaha mikro yang bergerak di bidang budidaya selada hidroponik di Bogor Raya. Program ini bertujuan meningkatkan kapasitas manajerial dan kemampuan pemasaran digital pelaku usaha melalui pelatihan dan pendampingan berbasis partisipatif. Kegiatan diawali dengan observasi dan wawancara untuk mengidentifikasi permasalahan mitra, dilanjutkan dengan pelatihan dua hari dan pendampingan selama dua minggu. Evaluasi pre-test dan post-test terhadap 10 peserta menunjukkan peningkatan rata-rata nilai dari 43,6 menjadi 84,1 dengan gain score 0,72 (kategori tinggi). Dua bulan pascapelatihan, 75% peserta telah menerapkan pencatatan keuangan dan 68% aktif promosi digital, sedangkan setelah lima bulan, 90% peserta konsisten menjalankan manajemen usaha dan 85% aktif di marketplace. Selain peningkatan ekonomi sebesar 25–30%, terbentuk Forum GH Selada Bogor Raya sebagai wadah kolaborasi dan koordinasi antar pelaku usaha. Hasil ini menunjukkan bahwa pendekatan pelatihan partisipatif dan pendampingan intensif efektif dalam meningkatkan kompetensi, kemandirian, serta keberlanjutan usaha mikro berbasis hortikultura.Keywords: Cahaya Farm, manajemen usaha, pemasaran digital, UMKM hortikultura
Evaluasi Implementasi Otomatisasi Sistem Instalasi Pipa Penyiraman Untuk Pendinginan Greenhouse Terhadap Hasil Panen Pada Kelompok Usaha Mikro Cahaya Farm Di Carang Pulang Bogor Novria Sonjaya, Abeth; Handini, Wike; Yanto, Nur Witdi; Lestari, Sri Wiji; Herliati, Herliati; Widanti, Nurdina; Ningrum, Sari Sekar; Widyawati, Yeti
Dedikasi:Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2025): Jurnal Dedikasi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/dedikasi.v6i1.433

Abstract

Proses budidaya hidroponik di greenhouse Kelompok Usaha Mikro Cahaya Farm menghadapi tantangan suhu tinggi, terutama saat siang hari di musim kemarau, yang mencapai hingga 37°C. Kondisi ini berdampak negatif terhadap kualitas tanaman selada, menyebabkan penurunan hasil panen dan berimbas pada pendapatan usaha. Penelitian ini bertujuan mengevaluasi efektivitas sistem otomatisasi instalasi pipa penyiraman sebagai pendingin greenhouse dalam meningkatkan produksi dan kualitas tanaman hidroponik. Survei kepuasan terhadap hasil panen dilakukan menggunakan Google Form dengan skala Likert 1–4 untuk menilai aspek kualitas, brand equity, reliability, responsiveness, empathy, dan tangible dari sistem yang diterapkan. Hasil menunjukkan peningkatan signifikan yaitu panen per meja naik dari 13–15 kg menjadi 18–22 kg, bobot per lubang tanam dari 90–130 g menjadi 110–150 g, kualitas daun membaik, dan waktu panen lebih cepat dari 28–35 HST menjadi 25–29 HST. Penilaian keseluruhan terhadap penerapan sistem pendingin dalam program PkM Kampus mencapai 3,55 dari skala 4,00 atau 88,75%, khususnya untuk kualitas produk (quality) 3,66 (91,50%) dan produktivitas pada waktu panen 3,60 (90,00%). Keywords: hydroponic plant cultivation temperature, cooling installation, Likert survey research, assessment score