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All Journal Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Jurnal Teknoinfo Krea-TIF: Jurnal Teknik Informatika Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Agroplasma JTIK (Jurnal Teknik Informatika Kaputama) Infotek : Jurnal Informatika dan Teknologi Jurnal Ilmu Komputer Journal Social Science And Technology For Community Service Journal of Artificial Intelligence and Technology Information Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Rahma, Yunita
Universitas Pakuan
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Penerapan Aplikasi Remainder Imunisasi Pada Sistem Informasi Posyandu untuk Memantau Kelengkapan Imunisasi Rutin Anak di Posyandu Mutiara 1 Kelurahan Katulampa Rahma, Yunita; Suhartini, Dini
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 1 (2024): Volume 5, Nomor 1, March 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i1.3854

Abstract

Imunisasi merupakan salah satu upaya preventif untuk mereduksi kematian pada bayi maupun balita. Imunisasi termasuk dalam investasi kesehatan yang paling cost-effective untuk mencegah penularan penyakit yang diberikan secara teratur kepada seluruh bayi maupun balita.  Pencapaian bayi yang diimunisasi lengkap di Kota Bogor yaitu hanya sebesar 7,52 persen pada bayi perempuan dan 7,71 persen pada bayi laki-laki. Capaian tersebut menunjukan setiap imunisasi pada bayi belum mencapai 100 persen bayi mendapatkan imunisasi. Kemungkinan alasannya adalah orang tua yang kurang memahami pentingnya imunisasi, mitos yang salah tentang imunisasi, budaya, hingga terlambatnya jadwal imunisasi.  Untuk meningkatkan cakupan imunisasi di Kota Bogor, tim pengabdian dari Sekolah Vokasi UNPAK mengembangkan aplikasi reminder imunisasi. Aplikasi ini bertujuan untuk membantu kader posyandu mengelola data imunisasi dan meningkatkan kesadaran masyarakat terkait imunisasi.  Aplikasi reminder imunisasi ini telah diujicobakan di Posyandu Mutiara 1, Kelurahan Katulampa, Kota Bogor. Hasil ujicoba menunjukkan bahwa aplikasi ini dapat membantu kader posyandu mengelola data imunisasi dengan lebih mudah dan informatif. Selain itu, aplikasi ini juga dapat meningkatkan kesadaran masyarakat terkait imunisasi.  Berdasarkan hasil ujicoba tersebut, tim pengabdian merekomendasikan agar aplikasi reminder imunisasi ini dapat diimplementasikan di seluruh posyandu di Kota Bogor. Selain itu, perlu dilakukan pendampingan berkelanjutan agar kader posyandu dapat menguasai aplikasi reminder imunisasi.
SISTEM PENENTUAN KELAYAKAN PEMBERIAN SUSU FORMULA DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN ELECTRE Rahma, Yunita; Maryana, Sufiatul; Nofika, Benny
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.584

Abstract

Breastmilk (ASI) is the baby's first food. According to WHO, ASI is the best source of nutrition for babies and toddlers. However, not all mothers can breastfeed their babies well. Stopping breastfeeding or even not being given ASI at all can occur for various reasons, for example, the baby's mother is suffering from an infectious disease and it is feared that it will spread to the baby if the baby drinks the mother's milk or the baby's mother is consuming drugs that are quite dangerous. Providing formula milk is an alternative solution to fulfill the baby's nutrition because its content is deemed sufficient to fulfill the baby's nutrition. Seeing the problem, This research, this research offers a solution to determine the feasibility of giving formula milk by making a decision support system with the SAW (Simple Additive Weighting) and Electre methods. The alternatives used by the SAW method consist of 5 alternatives, the Electre method process conducts an assessment by giving a range to the alternative value input. The study obtained results by entering alternative data as many as 5 names of breastfeeding mothers who had doubts in determining whether to use formula milk or not. From the 5 names, Suhartini was chosen as an alternative.
Pengaruh Pemberian Pupuk Mono Kalium Phosphate MKP dan Ekoenzim Terhadap Pertumbuhan Serta Produksi dan Uji Metabolit Sekunder Tanaman Bawang Merah (Allium cepa L.) Rahma, Yunita; Putra, Irwan Agusnu; Berliana, Yunida
JURNAL AGROPLASMA Vol 12, No 2 (2025): Vol 12, No 2 (2025): (JURNAL AGROPLASMA VOLUME 12 NO 2 TAHUN 2025)
Publisher : UNIVERSITAS LABUHANBATU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/agroplasma.v12i2.8126

Abstract

This study aims to determine the effect of MKP fertilizer and ecoenzyme, as well as to determine the effect of interaction on the application of MKP fertilizer and ecoenzyme in improving the quality of growth, production, and secondary metabolite content tests. This study was conducted from December 2024 to March 2025 in Klumpang Village, Hamparan Perak District, North Sumatra. Using a factorial randomized block design (RAK) with 2 treatment factors, each treatment repeated 3 times. The parameters observed were plant height (cm), number of leaves (strands), fresh plant weight (gr), wet tuber weight (gr), dry tuber weight (gr) and secondary metabolite tests on 6 compounds, namely alkaloids, flavonoids, terpenoids, saponins, and tannins. The results showed that MKP fertilizer had a significant effect on plant height at 4 WAP, 6 WAP, 8 WAP, plant weight parameters, wet tuber weight, and dry tuber weight. The best treatment was M1 (MKP dose of 10 gr/plant). Ecoenzyme treatment did not significantly affect all parameters. The interaction between MKP fertilizer and ecoenzyme did not significantly affect all parameters. The best treatment combination was M2E0 (MKP 20 grams/plant and ecoenzyme (control)). The phytochemical test of secondary metabolites in shallot (Allium cepa L) extracts continued to increase with increasing doses of MKP and ecoenzyme fertilizers. The best treatment was M2E2 (MKP 20 grams/plant and ecoenzyme 20 ml/liter of water) with results of 4 to 5 plus as shown in the lab results. Keywords: MKP, ecoenzyme, red onion, secondary metabolite
IOT-based Soil Moisture Monitoring and Water Pump Control System for Ornamental Plants: Sistem Monitoring Kelembapan Tanah Dan Kendali Pompa Air Tanaman Hias Berbasis Iot Yunita Rahma; Attalarik Zidan; Sufiatul Maryana
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i2.29

Abstract

Ornamental plants cultivation is a type of plant cultivation that is growing rapidly and also has great potential in Indonesia. In Bogor Regency itself, many farmers started developing this ornamental plant after the Pandemic Era. The unique tropical pattern has become a surge in market demand, one of which is the Syngonium type. The challenges for farmers in cultivating ornamental plants come from the environment itself, the country's tropical climate causes Indonesia to have high rainfall and unpredictable heat. There are several types of plants whose growth process is very sensitive to the level of soil acidity. One solution to dealing with this problem factor is to apply intensification. This research aims to create a tool that is a monitoring and control system for water pumps to provide direct information about soil moisture as well as regular irrigation. The system was created using a capacitive soil sensor as input data for 3 soil conditions, namely Dry, Moist and Wet, then sent by the NodeMCU into the database to be displayed via the website and application, all of which are connected to the Arduino cloud, and received by a water pump for periodic irrigation. The result of this research is a prototype system for monitoring soil moisture and controlling water pumps for ornamental plants based on IoT which is expected to help farmers produce good planting media as well as good irrigation in the plant care phase.
Sistem Deteksi Dini Dehidrasi Dengan Analisis Urine Berbasis Iot Yunita Rahma; Dini Suhartini; Deden Ardiansyah; Raden Mohamad Wildan
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35004

Abstract

Dehydration frequently goes unnoticed due to its gradual onset, posing a risk of serious clinical complications if left unaddressed. This study aims to develop an Internet of Things (IoT)-based prototype for objective and real-time early dehydration detection through multi-parameter urinalysis, including color (RGB), pH, and temperature. The methodology encompasses user and medical needs analysis, instrument system design utilizing the NodeMCU ESP32, and validity testing using 10 real urine samples cross-validated directly against the official diagnosis (gold standard) from the Cibinong Regional Health Office, Bogor Regency. Quantitative results demonstrate that the system achieves an overall classification accuracy of 80% and a sensitivity of 100% in extreme conditions (No Dehydration and Severe Dehydration). A minor deviation of 20% occurred during transition phases due to optical sensor sensitivity toward ambient lighting variations and non-hydration chemical fluctuations in the urine. The novelty of this research lies in the integration of a temperature parameter to mitigate diagnosis bias caused by febrile (fever) conditions, alongside the implementation of an expert system on the web interface capable of transforming raw sensor data into personalized disease risk predictions and nutritional recommendations. This system contributes a practical, non-invasive, and self-managed instrument for preventive health monitoring.
Co-Authors Attalarik Zidan Benny Nofika Berliana, Yunida Deden Ardiansyah Johan Iskandar Lita Karlitasari Lusi Agus Setiani Nofika, Benny Putra, Irwan Agusnu Raden Mohamad Wildan Ramadhani, Sansan Sindy Andiani Sufiatul Maryana Sufiatul Maryana Wahjuni, Sri Yani Nurhadryani