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All Journal MNJ (Malang Neurology Journal) Jurnal Pendidikan Informatika dan Sains Pendas : Jurnah Ilmiah Pendidikan Dasar Diksa : Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal AKSI (Akuntansi dan Sistem Informasi) Tadbir Muwahhid Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara JTP - Jurnal Teknologi Pendidikan GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Qua Teknika Education and Human Development Journal IKEMAS: Jurnal Ilmu Kesehatan Masyarakat JE-Unisla Judika (Jurnal Nusantara Medika) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Ethical Lingua: Journal of Language Teaching and Literature Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) INSERT: Information System and Emerging Technology Journal Jumper : Jurnal Mahasiswa Pendidikan Olahraga Bulletin of Community Engagement Review of Multidisciplinary Education, Culture and Pedagogy (ROMEO) Jurnal Disastri: Pendidikan Bahasa dan Sastra Indonesia Indonesian Journal of Innovation Studies International Journal of Science and Society (IJSOC) EKSYA: Jurnal Ekonomi Syariah Abdi-Dharma Joutica : Journal of Informatic Unisla Jurnal Kesehatan Jurnal Kesehatan dan Pengelolaan Lingkungan Dakwatussifa: Journal of Da'wah and Communication jpki JUMATISI : Jurnal Mahasiswa Teknik Sipil Journal of Multidisciplinary Science: MIKAILALSYS Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Central Publisher MULTIPLE: Journal of Global and Multidisciplinary Semantik : Jurnal Riset Ilmu Pendidikan, Bahasa dan Budaya Journal of Innovative and Creativity Indonesian Health Literacy Journal (IHLJ) The Indonesian Journal of Computer Science At-Tahdzib: Jurnal Studi Islam dan Muamalah Journal of Informatics and Interactive Technology (JIITE) JOURNAL OF Pharmacy and Tropical Issues Language Circle : Journal of Language and Literature Parewa Saraq: Journal of Islamic Law and Fatwa Review Jurnal Pendidikan dan Sosial Humaniora JARI : Jurnal Akuakultur Rawa Indonesia J-Proteksion : Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Frontiers on Healthcare Research Jurnal Ilmiah Pendidikan Citra Bakti Jurnal Publikasi Manajemen Informatika
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Optimization of Motivation and Learning Outcomes in Civic Education through TSTS Learning Model: Optimalisasi Motivasi dan Hasil Belajar Pendidikan Kewarganegaraan melalui Model Pembelajaran TSTS Sulastri; Sucipto; Purnamasari, Hetty; Suciati
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

General Background: Quality education plays a critical role in shaping democratic citizens with strong national identities. Specific Background: In Indonesian elementary schools, particularly in the subject of Pancasila and Civic Education (PPKn), students often exhibit low motivation and suboptimal learning outcomes due to conventional teaching methods. Knowledge Gap: Limited empirical research has explored the effectiveness of the Two Stay Two Stray (TSTS) cooperative learning model in addressing these issues in early-grade civic education. Aims: This study aims to evaluate the effectiveness of the TSTS model in enhancing student motivation and learning outcomes in PPKn among first-grade students at SDN Palengaan Daya 4. Results: Using a descriptive quantitative approach involving 30 students, the study found statistically significant improvements in both motivation and learning outcomes post-intervention, confirmed through paired t-tests (p < 0.05). Novelty: This research presents the first application of the TSTS model for first-grade civic education at SDN Palengaan Daya 4, offering empirical evidence of its pedagogical value. Implications: The findings support the Merdeka Belajar policy, promoting learner-centered approaches and collaborative environments, and recommend broader implementation of TSTS to foster active civic participation and character development in primary education.Highlight : The TSTS model significantly improves student motivation and learning outcomes in PPKn subjects. It supports the Merdeka Belajar policy by promoting a collaborative and engaging learning environment. Results show statistically significant improvements, indicating TSTS is a pedagogically effective strategy for early-grade civic education. Keywords : TSTS, Motivation, Learning Outcomes, Civic Education, Elementary School
Determination Of Return On Assets: Analysis Of Solvency Ratio And Liquidity Ratio Diky Paramitha; Sucipto
Jurnal AKSI (Akuntansi dan Sistem Informasi) Vol. 9 No. 2 (2024)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/aksi.v9i2.762

Abstract

The main objective of this study is to provide an in-depth understanding of how solvency and liquidity ratios affect a company's ability to use its assets efficiently in generating profits, as well as to make useful contributions to managerial decision making and evaluation of company performance. Several indicators in the study were studied to analyze the determination of the solvency ratio consisting of (Debt to Asset Ratio and Debt to Equity Ratio) and liquidity ratio (Current Ratio) to Return on Assets (ROA) with a sample of several large industrial companies listed on the Indonesia Stock Exchange with a period of 2015 2020. Research with test analysis techniques analysis of test selection of Test models (chow, hausman and langrange multiplier), classical assumption test with Multicollinearity and Heteroscedasticity, Regression Test panel data, Correlation Test and hypothesis testing (partial / t-Test and simultaneous / F-Test). The results of research through partial tests and simultaneous tests with the main focus of industrial companies resulted in that the three variations of DAR, DER and CR had no influence on the Return on Assets of the company objects sampled.
The Existence of the Female Character Meutia in the Novel Gadis yang Menulis Surat Setiap Malam by Arafat Nur Mukallalah, Siti Musdalifatul; Istiqomah; Mulyanto; Sucipto; Ni Nyoman Sarmi
Jurnal Disastri (Jurnal Pendidikan Bahasa dan Sastra Indonesia) Vol 6 No 1 (2024): Jurnal Disastri: Pendidikan Bahasa dan Sastra Indonesia
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/disastri.v6i1.6023

Abstract

Existential female characters are the existence of female characters in literary texts. The existence of existentialism in psychology encourages human self-awareness of their existence. In researching the novel The Girl Who Writes Letters Every Night, the aim is to describe the structure of the characters' experiences. The theory used is Rollo May's existentialist psychological theory. Existential psychology is an attempt to understand humans who experience and who are the targets of experience. Descriptive qualitative methods were used in this research with data analysis techniques in the form of listening, reading, taking notes. Then, content analysis uses the content of the quoted text data. The findings include the structure of the characters' experiences regarding: (i) death; (ii) emptiness (loneliness and isolation); (iii) anxiety; (iv) feelings of guilt; (v) togetherness; (vi) spatiality, (vii) temporalis; and (viii) body
Analisis Faktor Determinan Kejadian Occupational Heat Strain Pada Pekerja Outdoor di Kota Tangerang Selatan Qomariyah, Lailatul; Adha, Muhammad Zulfikar; Salim, Sulaiman; Bahri, Syaiful; Sucipto; Faizal, Doddy; Anisa, Lia Rizqi Nur
Jurnal Kesehatan dan Pengelolaan Lingkungan Vol. 6 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jkpl.v6i2.13190

Abstract

Occupational Heat Strain adalah dampak fisiologis dari tekanan panas lingkungan terhadap tubuh yang dapat memengaruhi kemampuan pekerja untuk mempertahankan kesehatan dan produktivitas. Dampak dari Occupational Heat Strain sangat penting untuk kesehatan dan produktivitas, sehingga perlu diakui sebagai masalah kesehatan masyarakat secara global. Heat Stress, faktor individu, suhu udara, dan kelembaban dapat digunakan sebagai indikator untuk memantau Occupational Heat Strain pada pekerja parkir jalanan di wilayah Kecamatan Ciputat. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara Heat Stress dan kejadian Occupational Heat Strain pada pekerja parkir jalanan di Kecamatan Ciputat, Kota Tangerang Selatan. Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional. Teknik pengambilan sampel yang digunakan adalah accidental sampling dengan jumlah responden sebanyak 106 orang. Instrumen yang digunakan dalam penelitian ini mencakup kuesioner, serta alat pengukur suhu lingkungan (WBGT Meter), suhu tubuh (Thermogun), dan denyut jantung (Oxymeter). Hasil analisis multivariat menunjukkan adanya hubungan signifikan antara Heat Stress dan kelembaban dengan Occupational Heat Strain (p = 0,000). Berdasarkan temuan ini, penting untuk memperhatikan konsumsi air agar tubuh tetap terhidrasi selama dan setelah bekerja, serta memberikan edukasi kepada masyarakat untuk meningkatkan konsumsi air minum selama bekerja dan membatasi waktu bekerja di bawah paparan sinar matahari.
Evaluation of the Feedback Impact Generated by Generative Artificial Intelligence on Writing Ability in Descriptive Texts Virgiawan Adi Kristianto; Sucipto; Sri, Handayani; Nurul, Yuhanafia
Language Circle: Journal of Language and Literature Vol. 19 No. 2 (2025): April 2025 Regular Issue
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/lc.v19i2.21540

Abstract

The ability to write clear and descriptive texts is an essential skill in a variety of academic and professional contexts. From designing compelling narrative essays in literature class to crafting clear and concise reports in the workplace, effective descriptive writing allows individuals to communicate their ideas and engage audiences with vivid imagination and sensory detail. However, the development of these skills often requires intensive practice and constructive feedback. Traditional writing instruction often relies on human feedback from teachers and lecturers. Therefore, this study aims to compare the feedback ability generated by generative artificial intelligence on the ability to write in descriptive texts. This study uses a quantitative research approach with quasi-experimental design. This study involved 58 students of Civil Engineering Vocational Education Program. The non-equivalent control group design was used to compare the results of the experimental class and the control class. Based on the results of data analysis using the Wilcoxon test, there were 29 positive ranks, this means that there were 29 students who experienced an increase in scores at the time of the posttest with an increase of 18.38% from the pre-test score. The average Gain Score = 0.4933 with a maximum value of 0.7272 and a minimum score = 0.28. It can be concluded that the use of generative artificial intelligence in providing feedback on students' descriptive texts is a medium or quite effective.
PENERAPAN RANDOM FOREST UNTUK DETEKSI DINI PENYAKIT PARKINSON’S DENGAN DATA FREKUENSI SUARA Mohammad Annan Makruf Mustofa; Sucipto; Arie Nugroho
Jurnal Qua Teknika Vol 15 No 02 (2025): September 2025
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v15i02.4563

Abstract

Parkinson’s Disease is a progressive neurological disorder that affects motor functions and verbal communication of the patients. Early detection of this disease is crucial to improving patients’ quality of life. This study aims to develop an early detection system for Parkinson’s Disease by utilizing sound frequency as the primary feature. The algorithm employed in this research is Random Forest, with the analysis process following the CRISP-DM approach, which includes six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Based on the test results, the developed model achieved an accuracy of 94.92% on the dataset used. These findings indicate that the Random Forest algorithm can be effectively implemented as an early detection system for Parkinson’s Disease using sound frequency data.
ANALISIS ALGORITMA KNN DAN PENERAPAN SMOTE DALAM DETEKSI DINI KANKER PARUPARU Bifadhlillah Marsheila Islami; Sucipto; Arie Nugroho
Jurnal Qua Teknika Vol 15 No 02 (2025): September 2025
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v15i02.4603

Abstract

Lung cancer is one of the deadliest diseases and a major global health issue. Early detection is crucial to improving survival rates; however, challenges remain in prediction accuracy due to class imbalance in medical datasets. This study aims to analyze the implementation of the K-Nearest Neighbors (KNN) algorithm combined with the Synthetic Minority Oversampling Technique (SMOTE) for early detection of lung cancer. The dataset used was obtained from Kaggle.com and consists of 1000 patient records with 26 clinical and demographic features. The research process followed the CRISP-DM methodology, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. In the modeling phase, the KNN algorithm was implemented with k=3 after applying SMOTE to balance the class distribution. Evaluation results showed excellent model performance with an accuracy of 99.50%, and precision, recall, and F1-score values that were nearly perfect. Therefore, the combination of the KNN algorithm and SMOTE has proven to be effective in enhancing the predictive capability for lung cancer severity levels, indicating its potential to be developed into a medical decision support system in the future.
Rancang Bangun Aplikasi Mobile Tanaman Hortikultura untuk Meningkatkan Produktivitas Lahan Pekarangan Ari Wibowo, Prasetyo; Sucipto; M. Najibulloh Muzaki
Joutica Vol 10 No 2 (2025): SEPTEMBER
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jti.v10i2.1431

Abstract

Ketahanan pangan merupakan tantangan penting di tengah peningkatan jumlah penduduk, alih fungsi lahan, dan dampak perubahan iklim. Pemanfaatan lahan pekarangan menjadi alternatif strategis, namun keterbatasan informasi teknis, akses literasi budidaya, dan rendahnya literasi digital masyarakat menjadi penghambat utama. Penelitian ini bertujuan mengembangkan aplikasi mobile berbasis Android yang mendukung pemanfaatan lahan pekarangan melalui informasi hortikultura, sistem rekomendasi tanaman, panduan budidaya, dan chatbot AI interaktif. Metode pengembangan menggunakan model Waterfall, mulai dari analisis kebutuhan, desain sistem menggunakan DFD dan ERD, hingga implementasi dengan Flutter dan Firebase sebagai platform mobile dan manajemen data real-time. Aplikasi diuji menggunakan metode black-box dengan hasil seluruh fitur berjalan sesuai spesifikasi. Fitur utama meliputi katalog tanaman, artikel edukatif, serta chatbot berbasis Gemini AI yang memberikan bantuan secara real-time dalam bentuk teks maupun gambar. Hasil implementasi menunjukkan aplikasi mampu meningkatkan akses informasi budidaya tanaman bagi pengguna, mendukung pengambilan keputusan dalam pemanfaatan pekarangan, serta memberikan pengalaman interaktif melalui UI/UX yang ramah pengguna. Penelitian ini memberikan kontribusi pada solusi digital pertanian berbasis pekarangan dan dapat dikembangkan lebih lanjut dengan teknologi prediktif dan IoT.
Prediksi Pembelian Berdasarkan Click Through Rate Iklan Digital Menggunakan Algoritma Random Forest Putriani, Dewi; Sucipto; Arie Nugroho
Joutica Vol 10 No 2 (2025): SEPTEMBER
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jti.v10i2.1435

Abstract

Perkembangan teknologi digital telah mengubah strategi pemasaran, menjadikan iklan digital sebagai sarana utama untuk menjangkau konsumen secara lebih tepat sasaran. Namun, keberhasilan kampanye iklan tidak hanya bergantung pada tingkat klik (Click Through Rate/CTR), melainkan juga pada kemampuan sistem dalam mengidentifikasi pengguna yang berpotensi melakukan pembelian. Penelitian ini bertujuan untuk membangun model prediksi perilaku pembelian berdasarkan CTR dengan algoritma Random forest dan pendekatan CRISP-DM. Dataset yang digunakan berasal dari Social Network Ads dan terdiri dari 400 entri dengan atribut demografis seperti usia, jenis kelamin, dan estimasi gaji. Model dibangun dalam dua tahap, yaitu baseline dan hasil tuning. Evaluasi dilakukan menggunakan metrik klasifikasi, dan model hasil tuning berhasil mencapai akurasi sebesar 93%, recall 98%, dan F1-score 92%, menunjukkan performa yang unggul dalam mengenali kelas pembelian. Hasil ini menunjukkan bahwa Random forest dengan tuning hyperparameter dan class weight dapat menjadi solusi yang efektif dalam klasifikasi pengguna iklan digital dan mendukung pengambilan keputusan pemasaran yang lebih efisien.
Pengembangan Google Sites untuk Meningkatkan Literasi dan Hasil Belajar Mapel Administrasi Sistem Jaringan SMK Negeri 1 Kwanyar Bangkalan Ainul Yakin; Nuril Huda; Sucipto
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 4 No. 4 (2024): Desember: Jurnal Pendidikan dan Sosial Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v4i4.8270

Abstract

The rapid utilization of the internet as a 21st-century learning resource makes digital literacy an essential competency that students need to possess, in addition to critical thinking skills. Therefore, it is necessary to develop technology-based learning media to support the improvement of both skills. This study aims to develop Google Sites-based learning media to enhance students' digital literacy abilities and learning outcomes. This research is a development study (R&D) referring to the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. The subjects of this study were teachers and 11th-grade students of the Computer and Network Engineering (TKJ) program at SMKN 1 Kwanyar. The developed learning media demonstrated results categorized as highly feasible, practical, and effective for use in the learning process of the Network System Administration subject. The effectiveness assessment results showed that student learning activity was classified as very active, and there was a significant improvement in critical thinking skills, indicated by an average N-Gain score of 0.75, which falls into the moderately effective category. Validation from experts showed that this learning media obtained a score of 90% from media expert validators, 93% from material expert validators, and 95% from educator assessments, all of which were in the "Very Valid" category. Trials at various scales also supported the feasibility of the media, with results of 90% in individual trials, 92% in small group trials, and 94% in large group trials—all falling into the "highly feasible" category. The literacy improvement results obtained a percentage of 95% in the "Very High" category. Thus, the Google Sites-based learning media is declared suitable for use in improving literacy and learning outcomes in the Network System Administration subject.
Co-Authors Abon, Felisitas Alsiana Adinda Ayu Noveriera Affiyani Pramono Agastya Andresangsya Agustina Mutia Ahmad Aidina Ristyawan Ainul Yakin Akmal Wildan, Diki Alauddin, Muhammad Hery Riyadi Alief Cahyo Utomo Andani, Deawuri Andini, Salsa Andriyani Rahmah Fahriati Anggoro, Agung Doni Anisa, Lia Rizqi Nur Anjangsari Khaida Asaro Anthonio fernando jose Anton Anwar Ardhi Wanda Arie Nugroho Aryudho Widyatno Ashiddiqi, Hafil Aurilia Viona, Tiara Betristasia Puspitasari Bifadhlillah Marsheila Islami Budianto, Suhartawan Budiyati Burhanuddin Caesar Adlu Hakim Candra, Riky Cesarea, Haning Darmawan, Chandra Darmawan, Isra’ Nuur Darmayanti, Rofik Daryanti Desby Juananda, Desby Diky Paramitha Eko Trimo Harcahyo Ernawati Ervandi, Akhmad Joice Faizal, Doddy Farah Wardatul Afifah Fatmawati Fatmawati Ferri Saputra Tanjung Fikri Nur Syarifudin FR. Eka Ratnasari Fuad Indra Kusuma Gama Bagus Kuntoadi Ghasa Faraasyatul ‘Alam Gracia, Felicita Gusti, Gusti Muhamad Adzaky Hardianto, Toto Harwis Alimuddin Hatip, Ahmad Heny K Heny K. Heny Kristanto Herawati, Yuke Elvin Herman Felani, Herman Idwar, Herizal Ihwan Ihyani Malik Ima Rusdiana Imayah Indah Kusuma Wardani Irfan Eka Nanda Isman, Soubar Istiqomah Jamaluddin, Dzikrullah Jordhy Akbar Joumil Aidil Saifuddin Kharisna Farisyaputra, Ajie Krisnawati, Dyah Ika Kristanto , Heny Kristianto, Virgiawan Adi Kusmiyati L Tobing, Victor Maruli Tua Lailatul Qomariyah, Lailatul LESTARI, SANTI Listiana , Yuni Maryanti, Yossi Melita Yuniza Miftah Parid Firmansyah Moh. Zainul Falah Mohammad Annan Makruf Mustofa MUHAJIR Muhammad Muhammad Dwi Ramadhianto Muhammad Fadlillah Ainur Rohman Muhammad Najibulloh Muzaki Muhammad Syahrir Muhammad Zulfikar Adha Mukallalah, Siti Musdalifatul Mulato, Alwi Mulyanto Mulyono, Mugi Nabilla Calista Putri Susanto Nadilah Amanda Narwati, Lilik Yuni Ni Nyoman Sarmi Noveriera, Adinda Ayu Nur Sayidah Nurdiniyah, Elsa Sari Hayunah Nuril Huda Nuritanilasari Nurlia Fusfita Nurul Qomariah Nurul, Yuhanafia Nurwasilah Nutdfah Nurmiftsa Octariadi, Barry Ceasar Padmasari, Arumtyas Puspitaning Prasetyo Ari Bowo, Prasetyo Ari Prasetyo, Rahardian Luthfi Puguh Puguh Santoso puguh santoso, puguh Purnamasari, Hetty Puspa Ayu Prayogi , Anindita Puspitasari, Betristasia Putri Utami, Putri Putriani, Dewi Qadriyyah, Lu’lu’ul Rachmat Wahid Saleh Insani Raffi Taufik Gushardana Rahman, Rovi Royyan Ramdhania, Nur Annisa Rasnijal, Muhammad Regan, Yip Repan Riki Sukiandra Risli , Andrea Risman, Salsa Wiratama Rofik Darmayanti Ruhama, Ufi Ryani Yulian Sairoh Salim, Sulaiman Saridu, Siti Aisyah Satria Wijaya Sektiana, Sinar Pagi Septi Manik Cahyati Silver, Soesiana Tri Eka Silvi Mardhatillah Simanjuntak, Arya Marganda Siregar, Alda Cendekia Siti Muanisah Sri Redjeki, Endang Sri, Handayani Suciati Suciati Suciati Suhermanto, Achmad Sukma Sahadewa, Sukma SULASTRI Suleman, Gabriella Augustine Suleman, Yakub Sunardjo Suningsih , Siti Supryady Susanti, Ela Esti Susetyo Adi Syaifuddin SYAIFUL BAHRI Syarief, Muhammad Nurman Syarifah Putri Agustini Alkadri Tjahyo, Bambang Ferianto Tobing, Victor Maruli Tua L Trihardi, Rizfan Ummah, Khairotul Vina Marini Putri Wahid, Eriyanti Wahyu Fajar Setiawan Wahyu Tri Handoko Wardani, Anita Sari Widhayanty, Monica Septinia Yunarsih Yunarty Yusuf Badrus Zaenal Abidin Zainal Arifin