Universitas Purwakarta

Food safety requires rapid and accurate bacterial identification to prevent disease and economic losses. This study compares three lightweight deep learning models—Tiny-ViT, ShuffleNetV2, and EfficientNet-Lite—for classifying 33 bacterial species from a combined public dataset. Models were trained using transfer learning with original and augmented data and evaluated using 5-fold cross-validation. Tiny-ViT achieved the highest performance with 99.66% accuracy and 99.70% precision, setting a new state-of-the-art for the DIBaS dataset. EfficientNet-Lite reached 99.32% accuracy with superior efficiency—threefold lower FLOPs (397.49M), fewer parameters (3.41M), and faster inference (0.90 ms/image). Comparison of per-class error rates across four models—Tiny-ViT Original, Tiny-ViT Augmented, EfficientNet-Lite Augmented, and EfficientNet-Lite Original—showed consistent stability, where each bacterial class exhibited low mean error and narrow 95% confidence intervals (CI95%), reflecting statistical reliability. These findings highlight a trade-off: Tiny-ViT offers maximum accuracy, while EfficientNet-Lite provides optimal accuracy–efficiency balance for edge-based bacterial diagnostics.

Meningioma merupakan tumor intrakranial primer yang paling sering ditemukan pada orang dewasa. Walaupun sebagian besar bersifat jinak, tumor ini dapat menimbulkan dampak klinis signifikan karena menekan struktur otak dan saraf. Variasi lokasi membuat manifestasi neurologis meningioma sangat heterogen, namun kajian yang secara khusus merangkum gejala praoperatif masih terbatas.Penelitian ini bertujuan untuk mengidentifikasi dan merangkum manifestasi klinis neurologis pada pasien meningioma berdasarkan literatur terbaru periode 2020–2025. Penelitian ini merupakan systematic literature review yang dilakukan sesuai pedoman PRISMA. Pencarian artikel dilakukan pada PubMed, ScienceDirect, dan Scopus menggunakan kata kunci “Meningioma” AND “Neurological Manifestations”. Kriteria inklusi adalah penelitian primer pada pasien dengan diagnosis meningioma yang melaporkan manifestasi neurologis praoperatif. Artikel yang berupa review, editorial, laporan konferensi, studi hewan, atau berfokus pada bedah dan radioterapi dieksklusi. Analisis dilakukan secara deskriptif naratif berdasarkan hasil ekstraksi data. Sebanyak 10 artikel memenuhi kriteria inklusi. Gejala yang paling sering dilaporkan adalah sakit kepala dan kejang. Manifestasi spesifik bervariasi sesuai lokasi tumor: gangguan visual pada meningioma sellar dan optikus, gangguan pendengaran dan fasialis pada meningioma kanalis auditorius interna, serta defisit motorik pada meningioma falx dan spinal. Beberapa laporan menunjukkan gejala atipikal seperti hematoma subdural akut. Temuan ini menegaskan pentingnya pengenalan dini terhadap variasi gejala meningioma dalam praktik klinis. Spektrum manifestasi neurologis meningioma luas dan sangat bergantung pada lokasi tumor. Pemahaman mengenai pola gejala praoperatif dapat membantu klinisi dalam diagnosis dini dan perencanaan penatalaksanaan.

Pengelolaan arsip ijazah secara manual sering menimbulkan berbagai kendala, seperti kesulitan dalam pencarian dokumen, tingginya risiko kehilangan data, serta kurangnya efisiensi dalam proses pengarsipan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan mengembangkan Sistem Informasi Pengarsipan Ijazah berbasis web yang andal, akurat, dan terstruktur sehingga dapat mendukung pengelolaan arsip secara lebih efektif. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif analitik. Sistem dikembangkan dengan model Waterfall yang mencakup tahapan analisis, desain, implementasi, dan pengujian. Fitur utama yang disediakan meliputi antarmuka yang sederhana dan ramah pengguna, serta fasilitas pencarian dokumen yang cepat dan efisien untuk memudahkan staf dalam pengelolaan arsip ijazah. Sistem diuji menggunakan data arsip sebelumnya guna memastikan akurasi dan keandalannya. Hasil penelitian menunjukkan bahwa sistem informasi yang dibangun mampu meningkatkan efisiensi proses pengarsipan ijazah di MTs Al-Waahidah Purwakarta, meminimalkan risiko kehilangan data, serta mempercepat akses informasi yang dibutuhkan. Dengan demikian, sistem ini dapat mendukung peningkatan kualitas layanan administrasi dan manajemen madrasah.

This study examines the regulatory construction of sexual violence crimes under Law Number 12 of 2022 concerning Sexual Violence Crimes (TPKS Law) and analyzes the urgency of effective law enforcement in Indonesia. The research applies a normative juridical method using historical and statutory approaches to explain the background, development, and legal framework of the TPKS Law. The historical approach traces the evolution of legal protection for victims of sexual violence, while the legislative approach analyzes the substance, structure, and systematic coherence of the law within the national legal system. The findings show that the TPKS Law consists of 12 chapters and 93 articles that comprehensively regulate sexual violence crimes. These provisions include general definitions, classifications of sexual violence, related criminal acts, investigation and prosecution procedures, and court examination mechanisms. The law also explicitly regulates the rights of victims, victims’ families, and witnesses, including protection, recovery, restitution, and access to justice. TPKS Law prioritizes integrated women/children protection services at national and local levels, plus prevention, coordination, oversight, and community involvement. It includes funding, global partnerships, transitional clauses, and final provisions, notably launching SPPT-PKKTP for women violence cases. Within this system, victims are positioned as legal subjects with the right to be heard, informed of legal processes, considered in the pursuit of justice, and restored from the impacts of violence. This victim-centered orientation represents a shift toward restorative-justice.

Fluktuasi harga saham yang tinggi pada sektor teknologi dan infrastruktur di Indonesia pada tahun 2025 membutuhkan metode prediksi yang akurat untuk membantu keputusan investasi. Penelitian ini membandingkan efektivitas metode Artificial Neural Networks (ANN) dan Fuzzy Logic dalam memprediksi pergerakan harga saham pada dua sektor strategis tersebut. Data historis harga saham dan faktor makroekonomi dari Januari 2022 hingga Maret 2025 digunakan dengan kombinasi metode kuantitatif dan analisis komparatif untuk mengevaluasi akurasi, kecepatan pemrosesan, dan kemampuan adaptasi dari kedua metode. Hasil penelitian menunjukkan bahwa model ANN dengan arsitektur Multilayer Perceptron (MLP) memberikan akurasi prediksi yang lebih tinggi (93,7%) dibandingkan dengan model Fuzzy Logic (89,3%), terutama dalam kondisi volatilitas pasar yang tinggi. Namun, model Fuzzy Logic menunjukkan keunggulan dalam interpretabilitas hasil dan waktu pemrosesan yang lebih cepat (105 ms vs. 120 ms). Studi ini memberikan dasar empiris bagi investor dan analis keuangan dalam memilih metode prediksi yang sesuai dengan kebutuhan spesifik mereka di tengah transformasi digital dan pembangunan infrastruktur yang pesat di Indonesia.

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi keputusan boikot produk di kalangan ibu rumah tangga. Metode penelitian yang digunakan adalah kualitatif dengan wawancara mendalam terhadap 15 ibu rumah tangga yang berusia antara 25 hingga 50 tahun. Hasil penelitian menunjukkan bahwa pengalaman pribadi, nilai dan keyakinan, kualitas produk, dampak lingkungan dan sosial, serta pengaruh keluarga dan teman merupakan faktor utama yang mempengaruhi keputusan boikot. Selain itu, media sosial berperan penting sebagai sumber informasi yang meningkatkan kesadaran tentang isu-isu sosial dan politik. Temuan ini memberikan wawasan yang berharga bagi pemangku kepentingan dalam memahami perilaku konsumen dan merancang strategi yang lebih efektif dalam merespons isu-isu sosial yang kompleks.

Infection prevention and control (IPC) is a crucial component of reproductive health services to protect patients and healthcare workers from the risk of infection. This study aimed to evaluate the implementation of IPC in healthcare facilities in Babakansari Village, Plered District, Purwakarta. The method used was descriptive qualitative through direct observation, in-depth interviews, and document review with 20 healthcare workers and 50 patients using reproductive health services. The results showed that the implementation of IPC standards was ongoing, but there were challenges related to the availability of personal protective equipment (PPE), medical waste management, and adherence to hand hygiene procedures. In conclusion, ongoing training, routine supervision, and infrastructure improvements are needed to support optimal IPC implementation.

Successful exclusive breastfeeding remains a challenge, especially for primiparous mothers with limited experience and information. A holistic breastfeeding module was developed to provide comprehensive education covering physical, psychological, and social aspects. This study aimed to evaluate the effectiveness of the holistic breastfeeding module in improving exclusive breastfeeding success among primiparous mothers in Sukamaju Village, Purwakarta. The study used a quasi-experimental method with a pretest-posttest design on 60 primiparous mothers. Data were collected using a breastfeeding knowledge and attitude questionnaire, exclusive breastfeeding records, and in-depth interviews. Results showed a 45% increase in breastfeeding knowledge, a 35% increase in positive attitudes, and an increase in exclusive breastfeeding success from 50% to 78% after the intervention. Conclusion: The holistic breastfeeding module effectively improves exclusive breastfeeding success among primiparous mothers.

Reproductive health issues throughout a woman's life cycle are diverse and complex. One common problem faced by women always is vaginal discharge. Vaginal discharge can cause itching, unpleasant odor, pain, and discomfort. This issue must be carefully monitored if it recurs, as it can lead to infertility and cancer. The research aims to determine the effectiveness of green betel leaf decoction on vaginal discharge in adolescent girls at Al-Muhajirin Islamic Boarding School, Purwakarta Regency in 2024. The research design is a plan arranged so the researcher can obtain answers to the research questions. This study uses a quantitative approach with a pre-experimental design, employing a one-group pretest-posttest format and a paired t-test. The paired t-test is appropriate because there is a single group measured twice, before and after treatment. The average vaginal discharge score in adolescents before administering green betel leaf decoction was 16.86, which decreased to 4.00 after treatment. The Wilcoxon test was used for statistical analysis, resulting in a p-value of 0.000. There was a significant effect before and after administration of green betel leaf decoction in reducing vaginal discharge among adolescent girls at Ma Miftahul Ulum Cikupa-Purwakarta in 2024. Out of 32 respondents, 21 experienced a decrease in vaginal discharge scores.

Vaginal discharge is one of the problems that occur in adolescents, because in Indonesia with a tropical climate it is one of the triggers of vaginal discharge. The humid climate makes the fungus grow quickly coupled with dense activities that make teenagers often experience vaginal discharge. Therefore, vaginal discharge is one of the problems that must be paid attention to by midwives so that women, especially teenagers, can maintain personal hygiene and feminine organs to prevent vaginal discharge and how to overcome it by using non-pharmacological therapy, one of which is betel leaf boiling water Objective: To find out the effect of betel leaf boiled water to treat vaginal discharge in adolescent girls Methods: This research is a type of experimental research with a pre-test, post-test, one group research design. The sample in this study is adolescent girls, with a sample size of 33 respondents. Sampling using accidental sampling technique, the instrument used was a questionnaire Results: The results of this study are that before using betel leaf decoction water the average whitiy score on the questionnaire is 10 - 16, while after using betel leaf decoction water the average whitish score is 7 - 10. Statistical tests using parametric tests, namely Paired Sample T-Test, obtained a significance value of p-value = 0.000 (p-value < 0.05), meaning that there is a significant difference in the vaginal discharge of adolescent girls and afterwards using betel leaf boiled water. Conclusion: There is an Effect of Leaf Boiled Water to Treat Vaginal Discharge in Adolescent Girls.