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INTERAKSI TEMANSEBAYA DALAM MENINGKATKAN HASILBELAJAR PENDIDIKAN AGAMA ISLAM PADA SUKU ANAK DALAM DI BUKIT DUA BELAS, KECAMATAN AIR HITAM, KABUPATEN SAROLANGUN, PROVINSI JAMBI Tabrani, Tabrani; Sumanto, Sumanto; Suparno, Suparno; Darmawi, Darmawi
Jurnal Literasiologi Vol 13 No 1 (2025): Jurnal Literasiologi
Publisher : Yayasan Literasi Kita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47783/literasiologi.v13i1.882

Abstract

Interaksi teman sebaya memiliki peran penting dalam meningkatkan hasil belajar, terutama dalam konteks masyarakat adat seperti Suku Anak Dalam (SAD) yang bermukim di Bukit Dua Belas, Kecamatan Air Hitam, Kabupaten Sarolangun. Pendidikan Agama Islam (PAI) bagi komunitas ini menghadapi berbagai tantangan, termasuk keterbatasan akses pendidikan, minimnya tenaga pendidik, serta rendahnya keterlibatan orang tua dalam proses pembelajaran. Penelitian ini bertujuan untuk menganalisis bagaimana interaksi teman sebaya berkontribusi terhadap peningkatan hasil belajar PAI di kalangan siswa SAD. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan teknik wawancara, observasi, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa interaksi teman sebaya membantu meningkatkan motivasi belajar, memperkuat pemahaman materi, serta membangun rasa percaya diri dalam memahami nilai-nilai Islam. Oleh karena itu, diperlukan strategi pendidikan yang lebih inklusif dan berbasis komunitas untuk memaksimalkan peran interaksi teman sebaya dalam mendukung pembelajaran PAI bagi masyarakat SAD.
The Effect of Acupuncture Therapy on Blood Oxygen Saturation in Patients with Blood Pressure Disorders and Coughs in Elderly Health Post, Surakarta Sumanto, Sumanto; Ningtyas, Listina Ade Widya
Journal of Epidemiology and Public Health Vol. 7 No. 3 (2022)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2022.07.03.03

Abstract

Background: One way to detect functional disorders of respiration, heart, blood vessels, and muscle oxidative mechanisms is to check blood gas saturation using a pulse oximeter, especially during the COVID-19 pandemic. Acupuncture is one of the management of health problems at the promotive level, preventing functional disorders of the respiratory system, cardiovascular system, and oxidative muscle rehabilitative which is used to improve health status, especially those who experience changes in blood gas saturation due to chronic cough, hypertension, hypotension, and muscle fatigue. The aim of the study was to determine the effect of acupuncture therapy on peripheral blood oxygen saturation (peripheral SpO2) in patients with a history of respiratory system disorders and blood pressure disorders, especially old age at the Surakarta Health Post.Subjects dan Method: The form of the research was pre-experimental (quasi-experimental), using two groups of pre-test and post-test purposive samples totaling 20 people. Dependent variable Oxygen saturation. The independent variable was acupuncture therapy. Data were analyzed using Wilcoxon's test.Results: Peripheral blood oxygen saturation values were higher in the intervention group before the intervention (Mean= 83.00; SD= 11.59) than after the intervention (Mean= 82.00; SD= 7.53) and not statistically significant (p= 0.294).Conclusion: Acupuncture therapy reduces blood gas saturation values in patients with blood pressure and cough disorders. Keywords: acupuncture therapy, peripheral blood gas saturation, pulse oximeter, history of cough, blood pressure disorders. Correspondence:Listina Ade Widya Ningtyas. Poltekkes Kemenkes Surakarta. Jl. Letjend Sutoyo Mojosongo, Surakarta, Central Java. Email: ade.widya23@gmail.com. Mobile: 085647300048
The Benefits of Acupuncture Combined with a Low Purine Diet to Improve Uric Acid and Total Cholesterol in Diabetes Mellitus Patients with Hyperuricemia Sumanto, Sumanto; Haryanto, Joko Tri; Kusumawati, Heni Nur
Journal of Epidemiology and Public Health Vol. 7 No. 3 (2022)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2022.07.03.01

Abstract

Background: Diabetes mellitus with hyperuricemia causes the accumulation of monosodium urate crystals in the synovial joint tissue. The incidence of gout in Indonesia according to the Indonesian Rheumatology Association, namely: gout 1-2 percent of adults, is the most cases of arthritis in men and is estimated to be between 13.6 per 1,000 men and 6.4 per 1,000 women. The prevalence of gout increased with age, an average of 7 percent of men >75 years and 3 percent of women >85 years.Subjects dan Method: Quasi-Experimental with pre and post-test designs. The research time is between March to September 2021 at the Posyandu for the elderly in Surakarta City. The population of this study were all objects with fasting blood sugar levels between 100 mg/dl - 125 mg/dl and above 126 mg/dl, female blood uric acid levels exceeding 5.6 mg/dl in men and exceeding 6.5 in the city. Surakarta, sample selection using purposive sampling, sample size 40 subjects. The dependent variable is uric acid, cholesterol and total blood levels, the independent variable is combination acupuncture therapy with a low purine diet. The research instrument used a checklist for blood analysis and physical examination. Data analysis using t-test.Results: Uric acid levels after acupuncture therapy in the intervention group were lower (Mean= 3.31; SD= 0.61) than the control group (Mean= 5.83; SD= 1.29), and not statistically significant (p= 0.935). Total cholesterol level after acupuncture therapy in the intervention group was lower (Mean= 166.00; SD= 34.20) than the control group (Mean= 222.30; SD= 55.43), but it was statistically non-significant (p= 0.676).Conclusion: Acupuncture therapy can reduce uric acid levels and total cholesterol levels. Keywords: Acupuncture, low purine diet, uric acid level, cholesterol level Correspondence:Sumanto. College Leading Basic Research, Acupuncture Course, Health Polyetchnics, Ministry of Health Surakarta. Jl. Letjend Sutoyo Mojosongo, Surakarta, Central Java. Email: sumantoiman@gmail.com. Mobile phone: 08121608067.
Gambaran Kesadaran Diri pada Masyarakat di Desa Sukobubuk, Kecamatan Margorejo, Kabupaten Pati Terkait Reboisasi Sumanto Sumanto
Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan Vol. 4 No. 1 (2025): Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/sidu.v4i1.3153

Abstract

Community awareness is very diverse in responding to environmental protection through reforestation or greening which is always driven by the current government. The diversity of society gives different colors in responding to the government's invitation. Social society plays a role in various problems that arise in society, although it actually aims to improve the lifestyle of the community itself. On the other hand, there are around 100 Ha of area that need reforestation. This study aims to determine the level of self-awareness of the people of Sukobubuk Village, Margorejo District, Pati Regency regarding the implementation of reforestation. The research method uses the informant equatorial method. This study consists of 7 elements of society as informants. Based on the results of this study, it can be concluded that the self-awareness of the people of Sukobubuk Village, Margorejo District, Pati Regency is on average very good. This awareness arises because it is based on direct experience experienced by the community, namely with the occurrence of floods, landslides and the increasing difficulty of clean water needs during the dry season. This efforts made to build self-awareness include community empowerment through mutually beneficial reciprocal cooperation, including providing free land incentives to farmers on the condition that they care for reforestation plants.
Sistem Informasi Perpustakaan Menggunakan Algoritma Pencarian Knuth Morris Paratt (KMP) dalam Pencarian Judul Buku (Studi Kasus: Perpustakaan Universitas Alma Ata) Sumanto, Sumanto; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Pramuntadi, Andri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31229

Abstract

This research aims to develop an Online Public Access Catalog (OPAC) website at the Alma Ata University library using the Knuth Morris Pratt (KMP) algorithm as the book title search method. The research method used is quantitative, with a focus on understanding the user interaction with the developed OPAC website. Data is collected through testing to evaluate user interactions with the website. The testing is conducted to evaluate the effectiveness and quality of user interactions with the website, with the test results analyzed qualitatively to understand the performance and user satisfaction with the OPAC module. The contribution of this research lies in the development of library information systems, especially in improving accessibility and effectiveness of book title searches for users. It is hoped that by using the Knuth Morris Pratt (KMP) algorithm, the OPAC module website can provide accurate search results and enhance the user experience in searching for books at the Alma Ata University library in Yogyakarta
Sekolah Ramah Tanpa Bully: Edukasi dan Intervensi Psikologis Bagi Siswa Madrasah Tsanawiyah Laboratorium Jambi: Pengabdian Elysah, Elysah; Kompri, Kompri; Maulana, Maulana; Sumanto, Sumanto; Anwar, Kaspul
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4428

Abstract

The Community Service Program (PKM) titled “Bullying-Free Friendly School” was carried out to enhance students’ understanding and skills in preventing and responding to bullying at Madrasah Tsanawiyah Laboratorium Jambi. The program, attended by 24 students, featured a Clinical Psychologist as the main speaker and employed various methods, including psychoeducation, multimedia presentations, educational videos, interactive discussions, and role-play simulations. Data were collected through observation, student participation, and documentation of activities. The results indicate a significant improvement in students’ comprehension of the concepts, types, and impacts of bullying, including physical, verbal, social, psychological, and cyberbullying. Students were also able to practice appropriate response strategies through role play, such as reporting according to the school’s referral system and providing emotional support to peers. Furthermore, the program successfully fostered empathy, collective awareness, and student commitment to building a safe and bullying-free school environment. This PKM proves that structured educational interventions with psychological approaches are effective in strengthening child-friendly school culture, improving mental well-being, and promoting respectful behavior within the madrasa community.
ANALISIS MACHINE LEARNING UNTUK PREDIKSI PENYAKIT PARU-PARU MENGGUNAKAN RANDOM FOREST Ade Christian; Hariyanto Hariyanto; Ahmad Yani; Sumanto Sumanto
Journal of Innovation And Future Technology Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3906

Abstract

Lung diseases, including COPD, lung cancer, and asthma, are serious global health issues, causing over seven million deaths annually. Advanced technologies, such as deep learning and the Random Forest algorithm, have been effectively utilized to detect and classify lung diseases from imaging data with high accuracy. This study aims to demonstrate the effectiveness of Random Forest in predicting lung diseases. The dataset used consists of 30,000 records with 11 attributes, collected from Kaggle and processed using Orange software version 3.36.2. The implementation of the Random Forest algorithm was conducted with 10 decision trees and six attributes considered at each split. The model was tested using Cross Validation with 10 folds. The testing results showed an AUC value of 0.993, indicating a very high level of accuracy. A confusion matrix was used to measure the model's performance through various metrics, including accuracy, precision, recall, F1-score, and AUC. This model achieved high accuracy, with ROC AUC values of 0.453 for predicting the presence of lung disease and 0.547 for predicting its absence. These results confirm that the Random Forest algorithm is an effective predictive tool for identifying lung diseases. This study makes a significant contribution to the development of more accurate and efficient diagnostic techniques, assisting medical professionals in identifying lung diseases in patients. With a deeper understanding of how this algorithm operates in the healthcare domain, it is expected to significantly enhance the quality of patient diagnosis and care.
ANALISIS SENTIMEN ULASAN GAME DELTA FORCE MOBILE MENGGUNAKAN NAIVE BAYES DAN SUPPORT VECTOR MACHINE Zaky, Faiz Najwan; Gibran, Muhamad Rendi; Sumanto, Sumanto; Kumalasari, Jefina Tri; Taufiq, Ghofar; Christian, Ade
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 6, No 1 (2026): JEIS EDISI JANUARI 2026
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol6no1.1115

Abstract

This study aims to analyze sentiment in Delta Force Mobile reviews on the Google Play Store using Naive Bayes and Support Vector Machines. Sentiment classification in reviews helps game developers understand player sentiment and improve user satisfaction. The method used is the KDD framework, which focuses on web scraping, text cleaning, tokenization, stemming, and TF-IDF for data weighting. The experimental data consisted of 29,454 reviews, with a peak accuracy rate of 86.17%. The study found a significant improvement in SVM’s ability to classify negative sentiment accurately. SVM had a score of 0.69, while Naive Bayes had a score of 0.56. This indicates that SVM is more accurate at classifying reviews that contain technical complaints, such as lag and bugs.Penelitian ini bertujuan menganalisis sentimen pada ulasan Delta Force Mobile di Google Play Store menggunakan Naive Bayes dan Support Vector Machine. Klasifikasi sentimen dalam ulasan digunakan untuk membantu pengembang game memahami sentimen pemain dan membantu meningkatkan kepuasan pengguna. Metode yang digunakan yaitu kerangka kerja KDD yang berfokus pada web scraping, pembersihan teks, tokenisasi, stemming, dan TF-IDF untuk memberi bobot pada data. Data yang digunakan dalam eksperimen berjumlah 29.454 ulasan, dengan tingkat akurasi tertinggi sebesar 86.17%. Hasil penelitian mendapatkan temuan signifikan bahwa SVM memiliki kemampuan yang lebih baik dalam mengklasifikasikan sentimen negatif secara akurat. SVM memiliki nilai 0,69 dan Naive Bayes memiliki nilai 0,56. Hal ini menunjukan bahwa SVM lebih akurat dalam mengklasifikasikan ulasan yang mengandung keluhan teknis seperti lag dan bug.