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PERANCANGAN SISTEM DETEKSI PENYAKIT PADA TANAMAN STROBERI DENGAN CNN TERINTEGRASI IOT (INTERNET OF THINGS)
Get PDFTanaman stroberi merupakan komoditas unggulan di daerah dataran tinggi, namun rentan terserang penyakit seperti antraknosa, jamur abu-abu, dan bercak daun yang dapat menurunkan hasil panen secara signifikan. Penelitian ini bertujuan untuk merancang sistem deteksi penyakit stroberi secara otomatis menggunakan algoritma Convolutional Neural Network (CNN) yang terintegrasi dengan perangkat Internet of Things (IoT) untuk penyemprotan pestisida otomatis. Dataset yang digunakan terdiri dari 1500 citra daun dan buah stroberi, diklasifikasikan ke dalam lima kelas: daun sehat, buah sehat, antraknosa, jamur abu-abu, dan bercak daun. Model CNN dirancang dari awal tanpa transfer learning, dengan preprocessing, augmentasi data, dan pelatihan menggunakan TensorFlow dan Keras. Sistem deteksi diimplementasikan dalam bentuk aplikasi web berbasis Flask yang memungkinkan pengguna mengunggah gambar tanaman untuk dideteksi. Jika teridentifikasi penyakit, sistem akan mengirim perintah melalui protokol MQTT ke NodeMCU ESP8266 untuk mengaktifkan relay dan menyemprotkan pestisida secara otomatis. Pengujian menunjukkan bahwa model CNN mencapai akurasi 90% dalam klasifikasi gambar, dan sistem IoT mampu merespons perintah dengan latensi rata-rata rendah serta durasi penyemprotan yang tepat. Sistem ini mampu meningkatkan efektivitas deteksi dan penanganan penyakit secara real-time di lapangan, sehingga berpotensi membantu petani dalam menjaga produktivitas tanaman stroberi
IMPLEMENTASI METODE CERTAINTY FACTOR PADA SISTEM PAKAR SKRINING DEPRESI PADA MAHASISWA
No full textDepresi saat ini merupakan isu serius di kalangan mahasiswa karena berdampak pada kesehatan mental, kualitas hidup, dan capaian akademik. Namun, keterbatasan
akses layanan kesehatan mental masih menjadi hambatan dalam deteksi dan penanganan dini depresi, sehingga diperlukan solusi skrining mandiri yang praktis dan mudah diakses. Sistem pakar skrining depresi berbasis website dengan metode
Certainty Factor (CF) dikembangkan untuk membantu mahasiswa mengenali gejala depresi lebih awal. Pengetahuan dari psikolog BKU Al-Manar Universitas Muhammadiyah Ponorogo digunakan sebagai basis aturan, sedangkan metode CF
diterapkan untuk menghitung tingkat keyakinan berdasarkan gejala yang dipilih pengguna sehingga ketidakpastian skrining dapat dikelola secara sistematis.
Pengembangan sistem mengikuti tahapan Expert System Development Life Cycle (ESDLC), mulai dari analisis kebutuhan, akuisisi pengetahuan, desain, pengujian,
hingga dokumentasi. Sistem ini mampu mengidentifikasi tiga tingkat depresi, yaitu ringan, sedang, dan berat, serta memberikan rekomendasi tindak lanjut sesuai hasil
skrining. Hasil pengujian kegunaan sistem menggunakan System Usability Scale (SUS) menunjukkan skor rata-rata 71,5 (grade B), yang menjunjukkan bahwa sistem mudah digunakan dan diterima dengan baik oleh mahasiswa
PERAN REGU PENGAMANAN DALAM MENCEGAH GANGGUAN KEAMANAN (Studi Kasus Lapas Kelas 1 Madiun)
No full textThis study examines the effectiveness of the Security Squad (Rupam) in preventing security disturbances at the Class 1 Madiun Penitentiary. Using an empirical legal approach, this study analyzes the obstacles faced by officers, including limited personnel, infrastructure, and social challenges within the prison environment. The results indicate that, although security procedures have been implemented, their effectiveness is still hampered by various internal and external factors. Efforts to improve security effectiveness can be made by strengthening inter-agency coordination, optimizing monitoring technology, and improving officer competency through ongoing training. From a pragmatic realist legal theory perspective, the effectiveness of a security system depends not only on existing regulations but also on how these regulations are implemented in practice. Flexibility in decision-making based on real-world situations is a key factor in improving prison security. With synergy between regulations, technology, and an interpersonal approach, it is hoped that the security system at the Class 1 Madiun Penitentiary can operate more optimally and maintain stability and order within the correctional facility.
Keywords: Security Squad, Effectiveness, Security, Pragmatic Law
Realism
PENERAPAN METODE SUPPORT VECTOR REGRESSION UNTUK PREDIKSI PRODUKSI GULA AREN PADA KELOMPOK TANI SUMBER SEKAR LESTARI
No full textThe increasing demand for palm sugar as a healthy natural sweetener highlights the need for an accurate production prediction system. The Sumber Sekar Lestari (SSL) farmer group in Ponorogo faces challenges in meeting market demand, which reaches 300–410 kg per month, as their production process still relies on traditional estimations. This study develops a prediction system based on Support Vector Regression (SVR) with an RBF kernel to forecast palm sugar production using market demand and the availability of sap (nira) as predictor variables. The choice of SVR is motivated by its ability to capture non-linear relationships between variables and produce precise predictions. The system was built by standardizing data and training the model using historical production records.
The testing results show that the system can predict production quantities with high accuracy, supported by features such as manual and batch data input, prediction visualization, and database storage. The findings demonstrate the effectiveness of the SVR model in modeling palm sugar production with parameters C=1.0, epsilon=0.1, and automatic gamma. For future development, it is recommended to perform hyperparameter optimization, include additional predictor variables such as weather conditions, and integrate the system with IoT for real-time raw material monitoring. This system is expected to help the farmer group plan production more effectively and efficiently
ASUHAN KEPERAWATAN JIWA PADA PASIEN SKIZOFRENIA DENGAN MASALAH KEPERAWATAN HARGA DIRI RENDAH KRONIS
No full textABSTRACT
MENTAL NURSING CARE FOR SCHIZOPHRENIA PATIENTS
WITH CHRONIC LOW SELF-ESTEEM
NURSING PROBLEMS
(Case study at Dr. Arif Zainudin Surakarta Mental Hospital)
By: RISA MAHARANI
NIM: 22613592
Low self-esteem is a condition in which an individual evaluates themselves negatively and underestimates their abilities, feeling that their actions do not meet expectations. If chronic low self-esteem is left untreated over time, it may lead to negative impacts such as a loss of interest in social interaction. This case study aims to provide an overview of nursing care for a patient with schizophrenia experiencing the nursing problem of chronic low self-esteem at RSJD Dr. Arif Zainudin Surakarta.
This nursing care was provided from June 4-7, 2025, in the Sena Room of Dr. Arif Zainudin Mental Hospital, Surakarta, using a nursing process approach that includes assessment, data analysis, nursing diagnosis, intervention, implementation, and evaluation.
The assessment revealed that the patient felt embarrassed and inferior due to failure in employment and worsening economic conditions, which triggered chronic low self-esteem. Nursing interventions were based on the SIKI for promoting self-esteem, including identifying statements related to self-esteem, discussing reasons for self-criticism, practicing positive self-affirmations, identifying and enhancing positive abilities, and maintaining eye contact. Some interventions were not implemented, such as encouraging openness to negative criticism, teaching strategies to cope with bullying, training to improve confidence in handling situations, and involving the family in the care process. The evaluation results showed that the nursing problem of chronic low self-esteem could be resolved after four days of nursing intervention.
This nursing care for a patient with chronic low self-esteem is expected to provide a framework for nurses, particularly in the care of schizophrenia patients with chronic low self-esteem.
Keywords: Schizophrenia, Chronic Low Self-Estee
Implementasi Selection Sort pada Aplikasi Surat Keluar di Kelurahan Bulukerto Berbasis Web
No full textPenelitian ini bertujuan untuk mengimplementasikan algoritma Selection Sort pada surat keluar di Kelurahan Bulukerto berbasis Web. Kelurahan Bulukerto menghadapi permasalahan dalam pengelolaan surat keluar, seperti kesulitan dalam pengurutan surat secara manual yang memakan waktu lama dan rentan terhadap kesalahan manusia. Sistem yang diusulkan mengimplementasikan algoritma Selection Sort untuk mengurutkan data surat berdasarkan kriteria tertentu, seperti tanggal dan nomor surat. Proses pengurutan dilakukan dengan memilih elemen terkecil dari daftar yang belum terurut dan menempatkannya di posisi awal secara berulang hingga seluruh data tersusun rapi. Sistem ini dirancang menggunakan metode waterfall, meliputi tahapan analisis, desain, implementasi, dan pengujian. Pengujian white box menunjukkan algoritma Selection Sort bekerja sesuai logika dengan memastikan elemen terkecil ditempatkan pada posisi yang tepat. Hasil implementasi membuktikan bahwa sistem ini efektif dalam mengelola data surat keluar, meningkatkan efisiensi kerja, dan meminimalkan kesalahan pengelolaan data. Selain itu, fitur berbasis web memungkinkan penggunaan sistem tanpa bergantung pada koneksi internet, mendukung kelancaran operasional di daerah dengan akses internet terbatas. Sistem ini memberikan solusi yang optimal dalam meningkatkan kualitas pelayanan administrasi Kelurahan Bulukerto melalui pengelolaan surat yang lebih terorganisasi dan akurat. Kata Kunci : Algoritma Selection Sort, Metode Waterfall, Pengelolaan Surat Keluar, Website
HUBUNGAN DUKUNGAN KELUARGA DENGAN STRES HOSPITALISASI ANAK USIA PRASEKOLAH DI RUANG ANAK RSI SITI AISYAH MADIUN
No full textABSTRAK
Hospitalisasi merupakan suatu kondisi krisis bagi setiap anak yang dirawat di rumah sakit. Berdasarkan studi pendahuluan yang dilakukan dari 15 anak usia prasekolah yang di rawat, 13 diantaranya mengalami stres hospitalisasi. Dukungan keluarga diperlukan guna meminimalkan stres. Tujuan penelitian adalah untuk menganalisa hubungan dukungan keluarga dengan stres hospitalisasi anak usia prasekolah di ruang anak RSI Siti Aisyah Madiun.
Jenis penelitian kuantitatif. Rancangan pada penelitian ini menggunakan pendekatan cross sectional dengan teknik sampling menggunakan consecutive sampling. Pengambilan data kuesioner dan analisis menggunakan uji rank spearman. Populasi penelitian adalah seluruh orang tua dan pasien anak usia pra sekolah yang dirawat di ruang anak RSI Siti Aisyah Madiun pada bulan Juni 2025 dengan sampel sebanyak 31 responden.
Hasil penelitian sebagian besar dukungan keluarga baik sebanyak 15 orang (48,4%). Sebagian besar anak usia prasekolah mengalami stres sedang sebanyak 14 anak (45,2%). Ada hubungan dukungan keluarga dengan stres hospitalisasi anak usia prasekolah di ruang anak RSI Siti Aisyah Madiun. dengan nilai p value 0,01 maka H0 ditolak dan Ha diterima.
Saran bagi orang tua paisen diharapkan hasil penelitian ini menambah pengetahuan orang tua dalam mendampingi pasien anak usia prasekolah yang menjalani hospitalisasi sehingga tingkat stres dapat diminimalkan
HUBUNGAN PERILAKU ORANGTUA DALAM PEMBERIAN STIMULASI BERMAIN ANAK DENGAN PERKEMBANGAN MOTORIK HALUS ANAK USIA PRA SEKOLAH Di SPS Melati Desa Pingkuk Kecamatan Bendo Kabupaten Magetan
No full textABSTRACT
THE RELATIONSHIP BETWEEN PARENTAL BEHAVIOR IN STIMULATING CHILDREN'S PLAY AND FINE MOTOR
SKILLS DEVELOPMENT IN PRESCHOOL CHILDREN AT
MELATI KINDERGARTEN, PINGKUK VILLAGE,
BENDO DISTRICT, MAGETAN REGENCY
Correlational Research at SPS Melati, Pingkuk Village, Bendo District, Magetan Regency
By : Erin Riyanti
Children's growth and development require regular stimulation as early as possible and consistently at every opportunity. Stimulation is provided to stimulate children's basic abilities so they can develop optimally. This study aims to analyze the relationship between parental behavior in providing play stimulation and the fine motor development of preschool-aged children at SPS Melati, Pingkuk Village, Bendo District, Magetan Regency.
The research design used was correlational with a cross-sectional approach. The population was all preschool-aged children at SPS Melati, totaling 31 respondents. The sample was all preschool-aged children at SPS Melati, totaling 31 respondents. The sampling technique used was total sampling. Data collection used questionnaires and DDST observation sheets. And use the Likelihood Ratio test.
The results of this study obtained almost all 29 (94%) parents of respondents were categorized as having positive behavior in providing stimulation for children's play with almost all 25 (81%) of fine motor development of children aged 3-5 years categorized as normal. Based on the results of the analysis using the Likelihood Ratio test, the results of the ρ value (0.001) < 0.05 mean that H0 is rejected and Ha is accepted so that there is a relationship between parental behavior in providing stimulation for children's play with the fine motor development of pre-school children at SPS Melati, Pingkuk Village, Bendo District, Magetan Regency.
Every parent should continue to accompany and provide appropriate stimulation according to their child's age in order to achieve optimal quality of fine motor development in their child.
Keywords: Parental Behavior, Fine Motor Development, Play Stimulation, Preschool Ag
Implementasi Algoritma K-Means untuk Klasterisasi Pengelolaan Persediaan Stok Obat pada RSIA Bhakti Persada Barat
No full textInstansi kesehatan klinik dan rumah sakit berperan sangat vital dalam memberikan layanan kesehatan yang berkualitas kepada masyarakat. RSIA Bhakti Persada Barat menghadapi permasalahan dalam pengelolaan persediaan obat akibat ketidakakuratan perencanaan, yang menyebabkan terjadinya kelebihan (overstock) maupun kekurangan (stockout) stok obat. Penelitian ini bertujuan untuk mengimplementasikan algoritma K-Means clustering dalam klasterisasi pengelolaan stok obat berdasarkan tingkat pemakaian, guna mendukung proses perencanaan dan pengendalian stok secara akurat. Metode yang digunakan adalah data mining menggunakan algoritma K-Means untuk mengelompokkan data obat ke dalam tiga klaster, yaitu rendah, sedang, dan tinggi berdasarkan frekuensi penggunaan. Pengujian kualitas klaster dilakukan menggunakan Davies Bouldin Index (DBI). Hasil penelitian menunjukkan bahwa algoritma K-Means berhasil membentuk tiga klaster yang merepresentasikan kategori pemakaian obat, dengan nilai DBI sebesar 1,1101 yang mengindikasikan kualitas pemisahan antar klaster yang cukup baik. Penerapan algoritma K-Means dapat mendukung dalam proses analisis dan pengambilan keputusan terkait manajemen persediaan obat di RSIA Bhakti Persada Barat, serta mengurangi risiko kerugian akibat stok kedaluwarsa dan keterlambatan pelayanan
HUBUNGAN GAMBARAN DIRI DENGAN KEPATUHAN KONTROL PADA PASIEN DENGAN PENYAKIT DIABETES MILITUS DI POLIKLINIK PENYAKIT DALAM RSU MUHAMMADIYAH PONOROGO
No full textABSTRACT
THE RELATIONSHIP OF SELF-IMAGE WITH CONTROL COMPLIANCE IN PATIENTS WITH DIABETES MILLITUS
At the Internal Medicine Polyclinic, RSU Muhammadiyah Ponorogo
Lutfi Oktavian Rochani
[email protected]
S1 Nursing Program, Faculty of Health Science, University of Muhammadiyah Ponorogo
Diabetes mellitus is a chronic metabolic disease characterized by elevated blood glucose (or blood sugar) levels, which can cause serious damage to the heart, blood vessels, eyes, kidneys and nerves. In controlling diabetes mellitus, it is necessary to have a personal view or self-image about the disease one is suffering from. A positive self-image of diabetes mellitus will reduce the risk of complications in sufferers.
This research uses a quantitative research design with a correlation study. The research design used used a cross sectional approach. The total sample was 37 respondents using purposive sampling technique. Data were collected using self-image questionnaires and respondents' control compliance. Data were analyzed using the Fisher's Exact Test with a p value <0.05 which means there is a relationship between self-image and control compliance in diabetes mellitus patients at the Internal Medicine Polyclinic, RSU Muhmammadiyah Ponorogo.
Based on the results of the analysis in this study, the p value was obtained (0.005) < α = 0.05, which means there is a relationship between self-image and compliance with control in patients with diabetes mellitus at the Internal Medicine Polyclinic, RSU Muhammadiyah Ponorogo.
It is hoped that by conducting this research, it can improve the self-image of diabetes mellitus patients which can motivate them to comply with control every month.
Key words: self-image, control compliance, diabetes mellitus