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All Journal Jurnal Penelitian Agama EKONOBIS (JURNAL EKONOMI DAN BISNIS) Transformasi: Jurnal Pengabdian Masyarakat Jurnal Informatika dan Teknik Elektro Terapan Abjadia, International Journal of Education Walisongo: Jurnal Penelitian Sosial Keagamaan Lisanudhad IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Al-Adyan: Jurnal Studi Lintas Agama At-Turats JURNAL WACANA KESEHATAN Ta'dibia: Jurnal Ilmiah Pendidikan Agama Islam Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal JURNAL PENELITIAN PERAWAT PROFESIONAL Klabat Journal of Nursing Hikmah Jurnal Aisyah : Jurnal Ilmu Kesehatan SELL (Scope of English Language Teaching, Linguistics, and Literature) Journal Edunesia : jurnal Ilmiah Pendidikan Komunikasiana: Journal of Communication Studies TAJDID: Jurnal Pemikiran Keislaman dan Kemanusiaan Jurnal Kesehatan Tambusai EduInovasi: Journal of Basic Educational Studies Journal of Health Research Science Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Jurnal Al-Fawa'id : Jurnal Agama dan Bahasa eScience Humanity Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Formosa Journal of Applied Sciences (FJAS) Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmiah Edutic : Pendidikan dan Informatika Proceeding of International Conference Health, Science And Technology (ICOHETECH) Khulasah : Islamic Studies Journal Innovative: Journal Of Social Science Research HIKMAH: Jurnal Ilmu Dakwah dan Komunikasi Islam FATAWA: Jurnal Pendidikan Agama Islam Jurnal PUBLIQUE Jurnal Dakwah dan Komunikasi Islam Al Fattah Ejournal Sma Al Muhammad Cepu Thalaqah : Journal of Arabic Education and Literature Efada : Jurnal Pengabdian Masyarakat Impact: Jurnal Pengabdian kepada Masyarakat PEDAGOGIA : JURNAL KEGURUAN DAN PENDIDIKAN Funun Arabiyyah: Journal of Arabic Education and Literature Journal of Accounting and Auditing
Mustain Mustain
State Islamic Institute (IAIN) Mataram
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Peran Mahasiswa dalam Pengentasan Kemiskinan: Pembagian Sembako di Desa Watusigar sebagai Wujud Pengabdian Masyarakat Almuyassar, Farhan; Yusril, Muhammad; Mustain, Mustain
Efada : Jurnal Pengabdian Masyarakat Vol 1 No 2 (2024): November
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - STAI Ali bin Abi Thalib Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54214/efada.Vol1.Iss2.734

Abstract

Kegiatan bakti sosial berupa pembagian paket sembako merupakan bagian dari pengabdian masyarakat oleh mahasiswa KUKERTA Almunawwir STAI Ali bin Abi Thalib Surabaya, Fakultas Tarbiyah, Prodi Pendidikan Bahasa Arab. Kegiatan ini bertujuan membantu meningkatkan kondisi ekonomi warga kurang mampu di Desa Watusigar, Kecamatan Ngawen, Kabupaten Gunungkidul. Sebanyak 60 warga mendapatkan paket sembako yang berisi kebutuhan pokok seperti beras, minyak goreng, gula, dan mie instan.Pelaksanaan kegiatan dilakukan dalam tiga tahap: pengumpulan data warga kurang mampu melalui wawancara dengan ketua RT, persiapan pengemasan sembako, dan distribusi langsung kepada penerima manfaat. Kegiatan ini diharapkan dapat meringankan beban ekonomi warga setempat. Hasilnya menunjukkan bahwa program ini memberikan dampak positif, meskipun terbatas, terhadap kesejahteraan masyarakat. Ke depannya, diusulkan untuk memperluas cakupan penerima manfaat dan meningkatkan kolaborasi dengan pemerintah setempat guna menciptakan pemerataan distribusi bantuan.
The Effect of Deep Breathing Relaxation Techniques on Reducing Dysmenorrhea Pain in Adolescent Girls at The Indah Dormitory in Cemani Village Mustain, Mustain; M.C, Shela; Tri, Yuniarti; Witriani, Witriani; Hussein, Mahjana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4253

Abstract

Menstrual pain (Dysmenorrhea) is pain in the lower abdomen that spreads to the waist and thighs that is felt before and after menstruation. Dysmenorrhea can be experienced by women who have higher intrauterine pressure and have twice the prostaglandin levels than women who do not experience dysmenorrhea. In the world, the incidence of desmenorrhea exceeds 50%. Meanwhile in Indonesia, it is estimated that 55% of productive women experience dysmenorrhea which interferes with their activities. Dysmenorrhea pain can be treated with non-pharmacological therapy, one of which is deep breathing relaxation techniques. The aim of this research was to determine the effect of deep breathing relaxation techniques on reducing dysmenorrhea pain in adolescent girls at the Indah Dormitory in Cemani Village, Sukoharjo Regency. This research uses a quasi-experimental approach with a one group pre-test and post-test design approach. The research sample was 60 young female respondents with sampling using random sampling techniques. The results showed that there was a significant reduction in pain levels in the intervention group after the deep breathing relaxation technique was carried out. The average reduction in pain in the intervention group was 2.5 points on the VAS scale, while the control group only experienced a reduction of 0.5 points. The statistical test results showed a significant difference (p < 0.05) between the intervention group and the control group, indicating that the deep breathing relaxation technique was effective in reducing dysmenorrhea pain. Beautiful Cemani Village. It is hoped that young women can perform deep breathing relaxation techniques correctly when experiencing pain due to dysmenorrhea.
Implementation of ResNet50 Based on Transfer Learning for Sugarcane Leaf Disease Detection Ulum, M. Miftah Fatkhul; Sholihin, Miftahus; Mustain, Mustain
EDUTIC Vol 12, No 2: 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v12i2.31873

Abstract

Sugarcane (Saccharum officinarum) is a vital commodity in Indonesia’s sugar industry and is highly susceptible to leaf diseases such as Mosaic, RedRot, Rust, and Yellow, which significantly reduce yield quality and quantity. This study proposes an automatic disease classification system using the ResNet50 architecture with a transfer learning approach, offering a more systematic evaluation compared to previous studies that typically tested only a single configuration or focused on other crops. The dataset consists of 3,250 RGB images across five classes after preprocessing and augmentation to address class imbalance. Eight model configurations were evaluated by combining epoch values (20, 40) and learning rates (0.0001, 0.001, 0.01, 0.1). The best performance was achieved by the configuration with 20 epochs and a learning rate of 0.0001, producing an accuracy and F1-score of 97%. The model was further deployed into a Flask-based web application to demonstrate practical usability. However, this study is limited by the use of a single controlled dataset, so model performance may vary under real-field conditions such as different lighting, camera angles, and leaf damage severity. Future research should include field data evaluation to strengthen model generalization.
The Influence Of Organizational Commitment, Professional Ethics On Auditor Performance With Professionalism As A Moderating Variable Yudhistira, Muhammad; Mustain, Mustain
Journal of Accounting and Auditing Vol. 1 No. 3 (2025): April 2025
Publisher : Yayasan Az Zukhruf Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65440/96hfkh52

Abstract

Purpose – This study aims to analyze the influence of Organizational, Professional Ethics on Auditor Performance with Professionalism as a moderating variable. Design/methodology/approach – The study uses primary data with a sample of 35 respondents, selected through random sampling. The research employs quantitative methods to assess the relationships between the variables, analyzing the data to determine the impact on Auditor Performance. Findings – The results showed that Organizational Commitment has a significant positive effect on Auditor Performance. Professional Ethics has a positive but insignificant effect on Auditor Performance. Professionalism does not strengthen the relationship between Organizational Commitment to Auditor Performance. Professionalism does not strengthen the relationship between Professional Ethics on Auditor Performance. Research limitations/implications – The study is limited by its relatively small sample size of 35 respondents, which may impact the generalizability of the findings. Future research could expand the sample or explore additional variables to better understand the factors affecting Auditor Performance in various contexts.
ANALISIS SENTIMEN BERBASIS KNN DAN HYBRID MACHINE LEARNING UNTUK MENGEVALUASI OPINI MASYARAKAT LAMONGAN TERHADAP PROGRAM MBG Munif, Munif; Mustain, Mustain; Rifki, Rifki
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6960

Abstract

Nutritional problems and food insecurity remain critical challenges in Indonesia, especially in underprivileged areas. To address this, the Lamongan City Government launched the Free Nutritious Meal (MBG) program as a public welfare initiative. This study aims to evaluate public opinion on the MBG program using sentiment analysis based on a hybrid machine learning model combining K-Nearest Neighbor (KNN) and Naive Bayes algorithms. A total of 2,261 public comments were collected from social media, online surveys, and interviews. The data underwent preprocessing, feature extraction using TF-IDF, and dual-stage classification—first by topic (Menu, Impact, Schedule, Others) using Naive Bayes, then sentiment classification (positive, negative, neutral) using KNN. Evaluation metrics including accuracy, precision, recall, and F1-Score were applied. Results show that neutral sentiment was the most dominant (41.28%), followed by positive (32.01%) and negative (26.49%). The model achieved an overall accuracy of 87%, with the highest F1-Score of 0.91 in the positive sentiment category. These results demonstrate that the hybrid model effectively captures community perceptions and can support data-driven evaluation of local social programs.
Co-Authors Abdul Fattah Abu Hasan Adji, Rezky Kusuma Ahmad Hidayatullah AHMADI Albari, Mauris Ali Abdul Wakhid Ali Ashar Ali Nurdin Alimuddien, Farhan Almuyassar, Farhan AM., Ady Irawan Atmojo, Joko Tri Ayu Anulus Aziza, Fathia Salsabilla Danang Bagus Reknadi Darisman, Wahyu Dwi Budi Santoso Dzulfikar, Ahmad Emas, Mahardika Putera Fajrin, Mochammad Fakhrudin Nasrul Sani Fulgentius Danardana Murwani Hairil Anwar Hanafia, Muhammad Ali Hartoyo Hartoyo Hidayah, Rohmatun Nurul Hidayatin, Alfi Nur Hotman Siahaan, Hotman Hussein, Mahjana Ifadah, Khusnul khusnul khotimah Kirtawadi, Kirtawadi Lestari, Endah Sri M. Yunus Abu Bakar M.C, Shela Magviroh, Dina Aulia Mahmudi, Hadi Marni Marni, Marni Mauladi , Kemal Farouq Maulana, Muhammad Iqbal Maulana, Zidan Abid Mawardi, Rafi Aufa Miftahus Sholihin Muallim, Muajiz Muhammad Yusril Mukhlis, Imam Mukhlis Munif, Munif Mustakharoh, Fajriatul Nikmatus Sholihah Nurmawati, Niya Prayitno , Reno Aji Pristiwiyanto Puput, Puput PUTRI WULANDARI Qasanah, Septina Nur Rahmasari, Ikrima Riduan, Achmad Rifki Rifki, Rifki Rr. Suhartini Safitri, Elfiana Dwi Santoso, Nur Cholis Agus Santy Irene Putri Saparuddin Saparuddin Shadiq, Lalu Baharudin Siti Helmyati Siti Maria Ulfa Susilo , Purnomo Hadi Sutinah Sutinah Syaifudin, Mokhamad Taufik, H.M. Totok Wahyudi Tri Yuniarti, Tri Tri, Yuniarti Tunjanah, Duirohma Ulum, M. Miftah Fatkhul Wandina, Danasty Naesyah Wibisono, Rizky Bangun Widiyanto, Aris Witriani Witriani, Witriani Yhudianto, Kresna Agung agung Yonanda, Yonanda Yudhistira, Muhammad