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UPAYA PENINGKATAN KESADARAN ORANG DENGAN HIV (ODHIV) DALAM PEMERIKSAAN VIRAL LOAD Ridha Rahayu; Dhonna Anggreni; Eka Diah Kartiningrum; Henry Sudiyanto; Sulis Diana; Widya Puspitasari
JURNAL PENGABDIAN MASYARAKAT KESEHATAN (ABDIMAKES) Vol 5 No 2 (2025): JULI
Publisher : Jurnal Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55316/amk.v5i2.1133

Abstract

In 2023, the government hopes to increase the achievement of zero HIV cases by 2030. However, the achievement of the target with the 95-95-95 indicator is still far from expected. Based on 2022 data, only 81% of People Living with HIV (PLHIV) have their HIV status known. Meanwhile, only 42% of PLHIV are treated from the first 95 findings, the third 95 percent indicator, only 20 percent have received VL tests from the second 95 findings. The Mojokerto Regency Health Office has made efforts to increase the achievement of viral load testing in HIV sufferers, but the results obtained are still not optimal. This activity aims to identify the causes of the still low viral load testing in PLHIV in the Mojokerto Regency Health Office Work Area in 2023 and increase awareness of people living with HIV (PLHIV) to undergo viral load testing. The activity consists of the stages of problem identification, problem prioritization, and finding solutions to problems. At the end of the activity, it was found that viral load testing on PLHIV in the Mojokerto District Health Office's work area was still lacking and that assistance was needed to increase PLHIV awareness to carry out regular viral load testing so that the risk of transmission could be reduced.
EDUKASI PENTINGNYA AKTIVITAS FISIK, KEBIASAAN SCREENTIME, DAN TIDUR PADA BALITA DI PUSKESMAS CIPTOMULYO Widya Puspitasari; Ali Multazam; Indah Ningtiyas Hidayati
Jurnal Kesehatan Masyarakat Indonesia (JKMI) Vol. 3 No. 1 (2025): Oktober 
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jkmi.v3i1.6069

Abstract

Edukasi Aktivitas Fisik, Kebiasaan Screentime, dan Tidur Anak Balita Pada Ibu Di Puskesmas Ciptomulyo. Aktivitas fisik anak di bawah usia 5 tahun berhubungan baik dengan indikator Kesehatan seperti adipositas, kesehatan tulang dan rangka, kesehatan kardiometabolik, perkembangan kognitif, dan keterampilan motoriknya. Kegiatan yang membuat anak pasif seperti menonton layar elektronk, handphone atau televisi jika menjadi kebiasaan akan berkaitan dengan kesehatan yang buruk. Selain itu, waktu tidur juga memengaruhi kesehatan anak, dengan durasi tidur yang pendek dapat menyebabkan kelebihan berat badan di masa anak-anak maupun remaja. Fisioterapi di puskesmas menyediakan layanan yang ditujukan bagi kelompok atau komunitas. Penelitian ini bertujuan untuk menganalisis pengaruh penyuluhan terhadap peningkatan pengetahuan ibu tentang aktivitas fisik, kebiasaan screen time, dan pola tidur pada anak balita. Metode yang digunakan ialah analitik dengan desain quasi-experimental dan kelompok kontrol pre-test post-test. Sampel diambil dengan teknik accidental sampling. Sebelum diberikan penyuluhan 38% responden tidak mengetahui tentang aktivitas fisik, kebiasaan screen time, dan pola tidur pada anak balita, namun setelah diberikan penyuluhan 100% responden mengetahui topik tersebut. Sehingga terdapat perbedaan pengetahuan responden sebelum dan sesudah diberikan penyuluhan.
EFEKTIFITAS MOBILISASI DINI TERHADAP PENYEMBUHAN LUKA PENYEMBUHAN LUKA PASCA OPERASI SECTIO CESAREA Citra Adityarini Safitri; Sulis Diana; Faradina; Widya Puspitasari
MEDICA MAJAPAHIT Vol 17 No 2 (2025): SEPTEMBER
Publisher : Sekolah Tinggi Ilmu Kesehatan Majapahit Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55316/mm.v17i2.1157

Abstract

Early mobilization is important for postpartum mothers after normal delivery or Sectio Cesarea. That is two hours after giving birth, at that time a mother must sleep on her back then tilt to the left or right then sit and stand. This study aims to determine the relationship between early mobilization and wound healing after cesarean section surgery at RSU Al Islam H.M Mawardi Krian. This research used a cross-sectional method, with a Systematic Random Sampling technique with a sample size of 70 respondents. Data collection was carried out by filling out a questionnaire created by the researcher and filled in by the respondent. The collected data was processed using statistical tests to be analyzed using the chi square test with (α) 0.05. The results of the study showed that almost all respondents carried out early mobilization which was carried out less than 6 hours after cesarean section surgery as many as 69 people (97.2%) and almost all respondents healed wounds after cesarean section surgery in good criteria as many as 68 people (95.8%). %). The results of the rho rank spearmen correlation analysis test show that the p value is 0.000, meaning there is a relationship between early mobilization and healing of SC Eracs surgical wounds at RSU Al Islam H.M Mawardi Krian. The correlation coefficient value obtained was 0.811, meaning that early mobilization and wound healing after SC surgery were very strong. Early mobilization is related to the healing of surgical wounds so it is hoped that health workers will always provide education and provide care to postpartum mothers after SC surgery to increase motivation in mobilizing after SC surgery.
Pengembangan Chatbot Deteksi Dini Diabetes Melitus Tipe 2 Berbasis Algoritma Random Forest Fany Rosita Dewi; Widya Puspitasari; Hesti Yusiani
Hospital Majapahit (JURNAL ILMIAH KESEHATAN POLITEKNIK KESEHATAN MOJOKERTO) Vol. 17 No. 2 (2025): HOSPITAL MAJAPAHIT
Publisher : LPPM Sekolah Tinggi Ilmu Kesehatan Majapahit Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55316/hm.v17i2.1130

Abstract

Type 2 Diabetes Mellitus (T2DM) stands as one of the leading non-communicable diseases globally and significantly contributes to early mortality due to its complications. Early identification of high-risk individuals is essential in alleviating the burden of this disease. This study aimed to develop an early detection chatbot for T2DM based on machine learning using the Random Forest algorithm integrated into the Telegram platform. The research employed a Research and Development (R&D) approach following the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The dataset used was the Pima Indians Diabetes dataset, which includes eight key health variables. The model was trained and tested to predict T2DM risk and implemented in an interactive chatbot developed using Python and the Telegram Bot API. The training results indicate that the Random Forest model achieved good performance with an accuracy of 85%, precision of 83%, and recall of 80%, demonstrating the model’s reliable and sensitive capability to detect diabetes risk. The chatbot effectively collects user health data through simple conversational interactions and provides real-time prediction results. System evaluation through User Acceptance Testing (UAT) involving 35 respondents showed a very positive response, with an average score of 4.5 out of 5, indicating that the chatbot is easy to use, informative, and beneficial as an educational and early screening tool for non-communicable diseases. Recommendations for future research include using localized datasets to better represent the Indonesian population and integrating the chatbot with Electronic Medical Records (EMR) systems to enable direct clinical application by healthcare professionals