Article Per Year (5 Year)
p-Index From 2021 - 2026
8.553
P-Index
This Author published in this journals
All Journal MNJ (Malang Neurology Journal) Jurnal Pendidikan Informatika dan Sains Jurnal Pendidikan Jasmani Kesehatan dan Rekreasi (Penjaskesrek) Pendas : Jurnah Ilmiah Pendidikan Dasar Diksa : Jurnal Pendidikan Bahasa dan Sastra Indonesia JCE (Journal of Childhood Education) 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 IKEMAS: Jurnal Ilmu Kesehatan Masyarakat JE-Unisla Judika (Jurnal Nusantara Medika) 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 Bulletin of Information Technology (BIT) 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 Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Green Tourism Research and Applications Dakwatussifa: Journal of Da'wah and Communication Conseils : Jurnal Bimbingan dan Konseling Islam JUMATISI : Jurnal Mahasiswa Teknik Sipil Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Central Publisher MULTIPLE: Journal of Global and Multidisciplinary 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 Community Service for Health JOURNAL OF Pharmacy and Tropical Issues Advance Sustainable Science, Engineering and Technology (ASSET) Scaffolding Journal of Physical Education Health and Sport 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
Sucipto
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 71 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 71 Documents
Search

 2   3   4   5   6 
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.
Klasifikasi Genre Musik Menggunakan Machine Learning Garda Zidane Dhamara; Sucipto
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2021

Abstract

This study examines the implementation of music genre classification using Machine Learning to develop an accurate and efficient music recommendation application. The main problem addressed is the automatic identification of music genres to improve recommendation personalization. The method used involves applying Machine Learning algorithms to a music dataset. The objective of this research is to build a system capable of automatically classifying music genres and serving as a foundation for a smarter recommendation system. Preliminary results indicate that Machine Learning is effective in music grouping, which will contribute to increased recommendation accuracy. This research is expected to make a significant contribution to the development of intelligent music applications.
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.
The Effect of Using Minecraft: Education Edition on Students' Conceptual Understanding and Collaboration Darmawan, Chandra; Ervandi, Akhmad Joice; Muhajir; Hatip, Ahmad; Sucipto; L Tobing, Victor Maruli Tua
Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara Vol 17 No 1 (2025): Collaborative Learning Tools and Practices
Publisher : LPPM STKIP Kusuma Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37640/jip.v17i1.2374

Abstract

This study examines the effect of Minecraft: Education Edition on students' conceptual understanding and collaboration in Social and Natural Sciences (IPAS) learning. A quasi-experimental design with a pretest-posttest control group was used, involving 48 sixth-grade students from SDN Srambah. The sample was divided into an experimental group (Class VI A, 24 students) using Minecraft: Education Edition, and a control group (Class VI B, 24 students) receiving conventional instruction, selected through purposive sampling. Instruments included a conceptual understanding test and a collaboration questionnaire. Descriptive statistics showed a greater increase in the experimental group’s scores. Data met assumptions for parametric testing based on normality and homogeneity tests. MANOVA results indicated a significant effect of learning media on both outcomes (p < 0.001). Further tests of Between-Subjects Effects revealed that the learning method accounted for 91.9% of the variance in conceptual understanding and 94.8% in collaboration. These results suggest that Minecraft: Education Edition is more effective than traditional methods in enhancing both cognitive and collaborative skills. The findings support constructivist learning theory, highlighting the benefits of interactive, student-centered environments in fostering active engagement and meaningful learning.
The Use of Personal Deixis in The Netflix Series “Losmen Bu Broto The Series” in 2025 Herawati, Yuke Elvin; Sucipto; Padmasari, Arumtyas Puspitaning
Ethical Lingua: Journal of Language Teaching and Literature Vol. 12 No. 2 (2025): Volume 12 No 2 October 2025
Publisher : Universitas Cokroaminoto Palopo

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

Abstract

In this study using a serial film that can be focused on conversations containing deixis phenomena in the Netflix serial film "Losmen Bu Broto The Series" in 2025. The purpose of this study is to describe the use of personal deixis in the Netflix serial film "Losmen Bu Broto The Series" in 2025, This research approach uses a qualitative approach. The data and data sources used in this study are deixis words and sentences in the conversation of the Netflix serial film "Losmen Bu Broto The Series". The appropriate data collection method is the documentation method and the data collection technique is the listening technique and note-taking technique. In the validity of the data in the study, it was carried out by the method of increasing perseverance. Data analysis carried out in this study used a descriptive method, namely describing the findings in the study with content analysis techniques. The results of this study are several types of deixis in pragmatics, including first person pronouns singular, first person pronouns plural, second person pronouns singular, second person pronouns plural, third person pronouns singular, third person pronouns plural in the serial film
Co-Authors Abdulnazar, Mohamed Naeem Antharathara Abon, Felisitas Alsiana Affiyani Pramono Agastya Andresangsya Agustina Mutia Ahmad Aidina Ristyawan Aidina Ristyawan, Aidina Ainul Yakin Akmal Wildan, Diki Alauddin, Muhammad Hery Riyadi Alief Cahyo Utomo Alimuddin, Harwis Alkadri, Syarifah Putri Agustini Andani, Deawuri Andini, Salsa Andriyani Rahmah Fahriati Anggoro, Agung Doni Anisa, Lia Rizqi Nur Anjangsari Khaida Asaro Anthonio fernando jose Anton Anwar Arie Nugroho Arie Nugroho, Arie Aris Widodo Aris Widodo Aryudho Widyatno Ashiddiqi, Hafil Aurilia Viona, Tiara Betristasia Puspitasari Bifadhlillah Marsheila Islami Budianto, Suhartawan Budiyati Burhanuddin Caesar Adlu Hakim Candra, Riky Darmawan, Chandra Darmawan, Isra’ Nuur Darmayanti, Rofik Daryanti Desby Juananda, Desby Diky Paramitha Dwi Harini Ernawati Ervandi, Akhmad Joice Faizal, Doddy Farah Wardatul Afifah Fatmawati Fatmawati Fitra Jaya FR. Eka Ratnasari Fuad Indra Kusuma Gama Bagus Kuntoadi Garda Zidane Dhamara Ghasa Faraasyatul ‘Alam Gracia, Felicita Gumilar, Agus Gusti, Gusti Muhamad Adzaky Handayani, Sri Hardianto, Toto Hatip, Ahmad Heny K Heny K. Heny Kristanto Herawati, Yuke Elvin Ihwan Ihyani Malik Ilham Gunawan Imayah Indah Lestari, Indah Irfan Eka Nanda Isman, Soubar Istiqomah Jamaluddin, Dzikrullah Joumil Aidil Saifuddin Kadarisman Kharisna Farisyaputra, Ajie Krisnawati, Dyah Ika Kristanto , Heny Kristianto, Virgiawan Adi Kurnia Eka Wijayanti, Kurnia Eka Kusmiyati L Tobing, Victor Maruli Tua Lailatul Qomariyah, Lailatul LESTARI, SANTI Marthalina, Nelly Maryanti, Yossi Melita Yuniza Miftah Parid Firmansyah Moh. Zainul Falah Mohammad Annan Makruf Mustofa MUHAJIR Muhammad Muhammad Dwi Ramadhianto Muhammad Najibulloh Muzaki Muhammad Syahrir Muhammad Zulfikar Adha Mukallalah, Siti Musdalifatul Mulato, Alwi Mulyanto Mulyono, Mugi Mustofa, Asysyafa Narwati, Lilik Yuni Ni Nyoman Sarmi Nur Sayidah Nurdiniyah, Elsa Sari Hayunah Nuril Huda Nuritanilasari Nurul Qomariah NURUL YUHANAFIA Nurul, Yuhanafia 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 Puspasari, Rizqiana Agista Puspitasari, Betristasia Putri Utami, Putri Putri, Nurita Nilasari Bunga Kharisma Arifiana Putriani, Dewi Qadriyyah, Lu’lu’ul Rachmat Wahid Saleh Insani Raffi Taufik Gushardana Ramdhania, Nur Annisa Rasnijal, Muhammad Regan, Yip Reka Ainul Khasanah Repan Riki Sukiandra Risli , Andrea Risman, Salsa Wiratama Rofik Darmayanti Ruhama, Ufi Rusdiana, Ima Ryani Yulian Sairoh Salim, Sulaiman Saridu, Siti Aisyah Satria Wijaya Sektiana, Sinar Pagi Septi Manik Cahyati Silver, Soesiana Tri Eka Simanjuntak, Arya Marganda Siregar, Alda Cendekia Siregar, Alda Cendikia Siswanto, Romi Siti Muanisah Soraya, Angelia Nilam Sri Redjeki, Endang Sri Trinita, Bunga Nurgala Sri, Handayani Suciati Suciati Suciati Suhermanto, Achmad SULASTRI Suleman, Gabriella Augustine Suleman, Yakub Suningsih , Siti Supryady Susanti, Ela Esti Syaifuddin SYAIFUL BAHRI Syarief, Muhammad Nurman Tjahyo, Bambang Ferianto Tobing, Victor Maruli Tua L Trihardi, Rizfan Tugino Utami, Alya Prastyaning Vina Marini Putri Wahid Ibnu Zaman Wahid, Eriyanti Wahyu Fajar Setiawan Wahyu Tri Handoko Wardani, Anita Sari Widhayanty, Monica Septinia Yati Yudhidwi Nusantara Yunarsih Yunarty Zaenal Abidin Zainal Arifin