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All Journal ARTERI : Jurnal Ilmu Kesehatan Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Journal of Health and Information System (IJHIS) HARENA: Jurnal Gizi SEJAGAT : Jurnal Pengabdian Masyarakat Jurnal Teknokes Jurnal Pengabdian Masyarakat Berdampak
Olivia, Zora
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Detecting Dehydration Based on Urine Color Using Fuzzy Logic Image Processing and Regulating Water Intake with an Automatic Water Pump According to Dehydration Level Using an IoT-Based Utomo, Denny Trias; Utomo, Adi Heru; Olivia, Zora; Maria, Nita; Rosidania, Nilla Putri
International Journal of Health and Information System Vol. 1 No. 3 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i3.32

Abstract

Dehydration is a condition where the body lacks the fluids it needs to carry out its functions optimally. Dehydration can cause various health problems, including decreased mental and physical performance, and can even cause death if not treated immediately. Therefore, it is important to be able to detect and treat dehydration early. One way to detect dehydration is through urine color analysis. Urine that is darker than normal can be a sign of dehydration. The classification of dehydration level according to urine color is as follows: 1-2: Hydrated, 3-4: Mildly dehydrated, 5-6: Dehydrated, 7-8: Very dehydrated. This research aims to develop an IoT-based dehydration detection system that can detect the level of dehydration in a person based on urine color and regulate water intake automatically using a water pump.  The novelty of this research is the method of integrating drinking water intake with dehydration detection based on real-time urine color based on IoT using the Fuzzy Logic method. The results of this research are used by the Jember State Polytechnic TeFa Nutrition Care Center (NCC) in serving patients. The methodology used in this research is Fuzzy Logic image processing to process urine color data and determine a person's level of dehydration. After carrying out this research, the following conclusions were obtained: Based on the literature study in this research, 8 levels of hydration status according to NSW Health were obtained, then from this literature a method was obtained to measure a person's hydration based on urine color using image processing using the Fuzzy Logic method.
Uji Keamanan Cemaran pada MP-ASI Berbahan Kedelai Kulit Buah Naga Olivia, Zora; Rosiana, Nita Maria; Suryana, Arinda Lironika; Widiyawati, Agatha
ARTERI : Jurnal Ilmu Kesehatan Vol 6 No 3 (1): Mei
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/arteri.v6i3.634

Abstract

Complementary feeding is nutritious food in addition to breast milk given to infants during the complementary feeding period to achieve nutritional adequacy. Complementary feeding products to be marketed should be guaranteed to be safe from metal and microbial contamination. SNI 01-7111.1-2005 explains the minimum limits for contamination of arsenic, lead, tin, mercury and free from Escherichia coli, Salmonella sp, Staphylococcus aureus microbes. This study aims to determine safety by comparing the metal contamination and microbial contamination figures between the P1, P2 and P3 complementary feeding formulas. P1 and P2 are complementary feeding made from soybean powder and dragon fruit skin. P1 consists of 25% soybean powder, 45% powdered milk, 10% dragon fruit skin powder, 20% sugar. P2 consists of 35% soybean powder, 35% powdered milk, 10% dragon fruit skin powder, 20% sugar. While P3 is a commercial complementary feeding. The methods used for metal contamination detection are ICP-MS, coliform and Escherichia coli microbial contamination with the Most Probable Number (Apm) technique and APL with the pour plate technique, detection of salmonella spp. according to ISO 6579-1: 2017, Positive Coagulation Staphylococci. The results include arsenic metal contamination in P2 and P3 while lead in P2 with levels below the maximum SNI limit. Microbial contamination ALT, Escherichia coli, Salmonella sp, Staphylococcus aureus. P1, P2, P3 according to SNI standards while coliform only in P2 meets SNI standards. So it can be concluded that the MPASI formula from soybean powder and dragon fruit skin P2 is the safest to consume because it has metal and microbial contamination results according to SNI standards.
NutriTalk: Nutrition Intervention by Experts to Reduce the Impact of Stunting Through Mobile Based Applications Using Agile Method Kurniasari, Arvita Agus; Olivia, Zora; Suryana, Arinda Lironika; Widiyawati, Agatha; Maria Rosiana, Nita
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The prevalence of childhood stunting, a pervasive global health concern primarily attributed to persistent malnutrition, underscores an urgent need for intervention. In Indonesia, where stunting rates are alarmingly high, with approximately 27.6% of children under five affected, innovative solutions are imperative. This study introduces "Nutri Talk," a mobile application developed using Agile Methodology to revolutionize nutritional consulting services. The application facilitates seamless communication with nutrition specialists, offering evidence-based information and personalized consultations to empower parents in making informed dietary decisions for their children. The application demonstrates robust functionality and user satisfaction through rigorous testing, including Boundary Value Analysis (BVA) and User Acceptance Testing (UAT). "Nutri Talk" stands poised to mitigate the long-term impacts of stunting, leveraging technology to enhance nutritional outcomes. This research advocates for a comprehensive approach to combat stunting, combining mobile technology advancements with targeted interventions, ultimately contributing to improved childhood nutrition and development.
Penguatan Nutriforce Melalui Pelatihan Konten Media Untuk Branding dan Promosi Pelayanan Konsultasi Gizi Lironika, Arinda; Rosiana, Nita Maria; Olivia, Zora; Widyawati, Agatha; Adi, Kukuh Prayitnaning
SEJAGAT : Jurnal Pengabdian Masyarakat Vol. 1 No. 3 (2025): February
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/sejagat.v1i3.5651

Abstract

The number of client visits to the Nutrition Care Center (NCC) since it began operating in 2022 has tended to decrease from 110 people to 98 people in 2023. This figure has not reached the target number of visits, even though in 2023 efforts have been made to organize promotional events NCC only carries out offline promotions to attract client visits, so it has not yet reached the wider community.. However, NCC has Nutriforce which can strengthen its potency. This activity aims to increase the number of visits to nutrition consultation services at NCC through branding activities and promotion of nutrition consultation services. This activity was carried out during August 2023, involving 10 people. Activities are divided into preparation, implementation, and monitoring and evaluation stages. The implementation method is FGD, counseling, training and assistance in creating images and videos for social media content for branding and promoting NCC more intensively. The success of the extension activities was evaluated using a pre-test-post-test knowledge questionnaire and then analyzed using a paired T-test. The results show an increase in Nutriforce's knowledge in creating nutritional consultation promotional content. In addition, there are additional promotional videos and images via Instagram social media which are produced every week.
Diagnosis of Stroke and Diabetes Mellitus With Classification Techniques Using Decision Tree Method Pratama, Mudafiq Riyan; Suryana, Arinda Lironika; Alfiansyah, Gamasiano; Olivia, Zora; Nurmawati, Ida; Destarianto, Prawidya
International Journal of Health and Information System Vol. 2 No. 1 (2024): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v2i1.36

Abstract

: Stroke is a cerebral vascular disease characterized by the death of brain tissue that occurs due to reduced blood and oxygen flow to the brain. Ischemic stroke is associated with diabetes mellitus, therefore it is important to identify the risk factors that cause stroke and DM by diagnostic cause of the disease. This study aimed to classify and compare accuracy tests on medical record data sets for stroke and DM. This study analyzed the diagnosis of stroke and DM using Decision Tree. The risk factors consisted of gender, age, blood pressure, nutritional status, smoking, history of DM, and history of hypertension. The results of the analysis using the Decision Tree method showed that the accuracy rate was 86.67%, which means that the modeling has a good level of correctness of the prediction results. We conclude that the Decision Tree method was an accurate method for detecting stroke and DM.
Pengaruh Pemberian Cookies Kedelai Kunyit Zaitun Terhadap Kadar HDL dan LDL Pada Tikus Jantan Galur Wistar Dislipidemia Olivia, Zora; Raihan Taqbira Setia Kurniawan; Mutiara Amelia Hapsari
HARENA : Jurnal Gizi Vol 5 No 3 (2025): HARENA: Jurnal Gizi (Agustus 2025)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/harena.v5i3.5238

Abstract

Dislipidemia adalah suatu kondisi medis yang ditandai dengan kadar kolesterol total, kolesterol LDL, trigliserida atau kolesterol HDL yang tidak normal. Kunyit dan kedelai mengandung flavonoid yang dapat meningkatkan profil lipid dalam darah dengan cara meningkatkan aktivitas LCAT (Lecithin Cholesterol Acyltransferase). Penelitian ini bertujuan untuk mengetahui pengaruh pemberian cookies kedelai kunyit zaitun terhadap kadar kolesterol HDL dan LDL pada tikus Wistar dislipidemia. Penelitian ini merupakan penelitian True Exsperimental dengan desain Pretest-Posttest Control Group Design. 24 ekor tikus Wistar jantan dengan berat 150-250 gram dan berusia 2-3 bulan dibagi menjadi tiga kelompok. Kelompok kontrol negatif (K-) menerima pakan standar Rat Bio (20 gram/tikus/hari) dan minum ad libitum. Kelompok kontrol positif (K+) diberi pakan tinggi lemak yang dimodifikasi, termasuk injeksi intravena adrenalin 0,006 mg/200 gBB pada hari pertama, diikuti dengan kuning telur bebek (5 g/gBB) secara oral selama 14 hari, dan kemudian lemak sapi (2 g), kuning telur puyuh (1 g), dan mentega (2 g) secara oral. Kelompok intervensi (P) menerima diet tinggi lemak, minum ad libitum, dan cookies kedelai kunyit zaitun 21,7 g/tikus/hari. Kadar HDL dan LDL darah sebelum intervensi adalah homogen (p>0,05). Kelompok intervensi (P) menunjukkan penurunan kadar kolesterol LDL yang lebih rendah yaitu sebesar 2,8 ± 5,7 (p>0,05) dan peningkatan kadar kolesterol HDL yang lebih rendah yaitu sebesar 2,00 ± 3,752 (p>0,05). Oleh karena itu, pemberian cookies kedelai kunyit zaitun tidak berpengaruh secara signifikan terhadap kadar HDL dan LDL darah pada tikus Wistar dislipidemia.
Edukasi Pemanfaatan Lahan Pekarangan Budidaya Tanaman Sayuran Dengan Sistem Irigasi Sederhana Pada Masyarakat Desa Suco Jember Alwi, Annisa Lutfi; Asmono, Sepdian Luri; Setyoko, Ujang; Wardana , Rudi; Olivia, Zora; Alif, Trisnani
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 2 (2025): Oktober 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i2.708

Abstract

This community service program focuses on helping the people of Suco Village, Jember, particularly PKK mothers and youth, utilize their yards for vegetable cultivation. The main challenges include limited land, water scarcity, and a lack of cultivation knowledge. To address these issues, the program offers counseling, demonstrations, and hands-on practice in vertical cultivation and simple drip irrigation. Participants have increased their understanding of these techniques and can now design and install irrigation systems independently. This technology improves water efficiency and enables effective plant growth in small spaces. The initiative not only enhances household food independence and raises awareness of healthy vegetables but also encourages cooperation and productive economic opportunities. Overall, this education on vertical cultivation serves as an effective community empowerment strategy that contributes to family food security.
Peningkatan Wawasan Masyarakat Desa Suco Mengenai Gizi Sayuran Melalui Pelatihan Budidaya Tanaman Pekarangan Alwi, Annisa Lutfi; Wardana, Rudi; Asmono, Sepdian Luri; Olivia, Zora; Setyoko, Ujang; Wilujeng, Elly Daru Ika
Jurnal Pengabdian Masyarakat Berdampak Vol. 2 No. 1 (2026): Januari 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jupemba.v2i1.72

Abstract

Suco Village is located in Mumbulsari District, Jember Regency, with a total population of 12,604 people. This makes Suco Village the second most populous village among the seven villages in the district. The high population has resulted in increasingly limited agricultural land, resulting in a decline in food crop production, particularly vegetable production. To address this issue, a proposal was made to develop vegetable cultivation by optimizing the use of home gardens as alternative planting areas. The purpose of this community service activity was to provide education and assistance to PKK women regarding environmentally friendly, easy-to-implement yard use and support family food security. A total of 12 participants enthusiastically participated in the counseling, demonstrations, and hands-on practice of planting vegetables in their home gardens using simple methods such as vertical cultivation and polybags. Based on the post-test results, there was an increase in community knowledge about vertical cultivation by 97.8%, knowledge of drip irrigation systems by 123.7%, and understanding of economic and environmental benefits by 80.4%. This proves that the training activity succeeded in transferring knowledge effectively. High post-test scores indicate that participants not only received the information but were also able to understand the theory and practice provided well.
Co-Authors Adi, Kukuh Prayitnaning Agatha Widiyawati, Agatha Alfiansyah, Gamasiano Alif, Trisnani Annisa Lutfi Alwi Denny Trias Utomo, Denny Trias Ida Nurmawati, Ida Kurniasari, Arvita Agus Lironika, Arinda Maria Rosiana, Nita Maria, Nita Mutiara Amelia Hapsari Pratama, Mudafiq Riyan Prawidya Destarianto Raihan Taqbira Setia Kurniawan Rosiana, Nita Maria Rosidania, Nilla Putri Rudi Wardana Setyoko, Ujang Suryana, Arinda Lironika Utomo, Adi Heru Wardana , Rudi Widyawati, Agatha Wilujeng, Elly Daru Ika