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All Journal Jurnal Simetris Proceeding SENDI_U Jurnal Ilmiah Dinamika Rekayasa (DINAREK) JOURNAL OF APPLIED INFORMATICS AND COMPUTING EDUMATIC: Jurnal Pendidikan Informatika Jurnal Ilmiah Dinamika Sosial Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Abdimasku : Jurnal Pengabdian Masyarakat Educenter: Jurnal Ilmiah Pendidikan EDUCENTER JURNAL PENDIDIKAN Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat
Ningrum, Novita Kurnia
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Public Health Social Sciences

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Identification of Source Code Plagiarism Using a Natural Language Processing (NLP) Approach Based on Code Writing Style Analysis Akbar, Muhammad Ilham; Ningrum, Novita Kurnia
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11206

Abstract

Source code plagiarism identificatio requires a system capable of identifying semantic similarity rather than mere textual resemblance. This study utilized a dataset of 1,000 source code files, which after cleaning resulted in 996 individual code samples collected from GitHub repositories. The dataset included various programming languages (Python, Java, JavaScript, TypeScript, C++), divided into 697 training data, 149 validation data, and 149 testing data. The model employed was CodeBERT, configured with a hidden size of 768, 12 layers, and 12 attention heads. CodeBERT generated vector embeddings for each code sample, which were then projected by a Siamese Network to calculate cosine similarity between code pairs. Testing used a threshold of 0.80 to classify plagiarism. The identification results achieved an accuracy of 96.4%, precision of 95.2%, recall of 97.8%, F1-score of 96.4%, and an error rate of 4.6%. The system produced similarity scores and status labels of “plagiarism detected” or “not detected,” demonstrating the effectiveness of the CodeBERT-based approach for adaptive and intelligent code similarity identificatio.
“Sailing Beyond Limit” sebagai Analogi Latihan Keterampilan Manajemen Mahasiswa dalam Upaya Implementasi Peran Agent of Change Trisnapradika, Gustina Alfa; Juhara, Kanahaya Putri; Bahri, Alfino Kautsar; Ananta, Putri Rossa; Siregar, Nadia Itona; Ningrum, Novita Kurnia
Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat Vol. 4 No. 1 (2026): Januari: Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/bumi.v4i1.1393

Abstract

Students have a strategic role as agents of change that requires adequate leadership and managerial skills. Formal learning in the classroom has not been able to fully develop these practical skills. This community service activity aims to improve the basic management skills of students at the Faculty of Computer Science, Universitas Dian Nuswantoro through Basic Student Management Skills Training (LKMM TD) with the theme Sailing Beyond Limits. The implementation method uses a Participatory Learning Action approach that includes problem identification, strategic planning, activity implementation, and joint evaluation. The activity was attended by 193 students from student organizations and general students. The learning process was carried out through lectures, case studies, discussions, group work, and pre- and post-tests. The evaluation results showed a significant increase in participant capacity, marked by an increase in the average score from 68.21 percent in the pre-test to 91.69 percent. LKMM TD activities effectively equip students with managerial, leadership, communication, and motivational control skills as provisions for carrying out the role of student agents of change.
Sistem Penstabil Suhu Berbasis IoT dengan ESP32 dalam Proses Fermentasi Keju Cheddar di Desa Nogosaren Pratama, Ivan Putra; Akhyar, Muhammad Wildan; Prayogo, Sandi Yudha; Pramesti, Nadya Arum; Ningrum, Novita Kurnia
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 9, No 1 (2026): JANUARI 2026
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v9i1.3106

Abstract

Desa Nogosaren, Kecamatan Getasan, Kabupaten Semarang, merupakan sentra produksi susu sapi perah dengan hasil ±17.010 liter per hari. Namun, sebagian besar susu hanya dijual dalam bentuk mentah dengan harga murah, sehingga menimbulkan keterbatasan nilai tambah dan potensi kerugian akibat susu cepat basi. Salah satu upaya peningkatan nilai tambah adalah pengolahan susu menjadi keju. Proses fermentasi keju membutuhkan kestabilan suhu dalam rentang 20–25°C untuk menjaga kualitas dan konsistensi produk. Dalam penelitian ini dikembangkan sistem penstabil suhu berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP32, sensor DHT22, relay, dan LCD untuk pemantauan suhu secara real-time. Hasil uji coba menunjukkan bahwa sistem dapat mengendalikan suhu sesuai batas yang ditentukan, dengan tingkat akurasi sensor cukup baik (error rata-rata 0,4–0,6 °C dibandingkan aplikasi HP). Sistem berhasil menyalakan dan mematikan penstabil suhu secara otomatis serta menampilkan data pada LCD dan platform IoT. Implementasi teknologi ini berpotensi membantu peternak dalam menjaga kualitas fermentasi keju, meningkatkan nilai tambah produk susu, dan memperkuat perekonomian lokal.
IoT-Based Water Quality Monitoring and Control System for Koi Fish Ponds Adriansyah, Agil Yafi; Ningrum, Novita Kurnia
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11715

Abstract

Koi fish (Cyprinus rubrofuscus) require stable water quality to support their health and growth, yet conventional pond water management is generally performed manually and tends to be inefficient and inconsistent. This study aims to design and implement an Internet of Things (IoT)-based water quality monitoring and control system for koi fish ponds. The proposed system integrates an ESP32 microcontroller with pH, turbidity, ultrasonic, and water level sensors to monitor pond conditions in real time and support controlled water drainage and refilling through a web-based interface. Sensor data are transmitted to Firebase Cloud, enabling remote monitoring and control via an internet connection. System testing was conducted on four koi ponds with ten measurements for each parameter, resulting in forty data samples per parameter. The experimental results show that the sensors provide stable measurements with average error values below 3%, and the system demonstrates a response time of approximately 1–2 seconds under stable network conditions. These results indicate that the developed system is capable of supporting effective water quality monitoring and control while reducing reliance on continuous manual supervision in koi pond management.
Analyzing Compost Fermentation Accuracy Through Fuzzy Logic and R-Square Techniques Putranto, Reza Firmansyah; Ningrum, Novita Kurnia
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11997

Abstract

The accumulation of unmanaged organic waste remains a critical environmental issue, highlighting the need for technological support to improve composting efficiency and monitoring. This study proposes an Internet of Things (IoT)-based system for monitoring compost fermentation conditions using temperature and humidity sensors, combined with Fuzzy Logic and R-square (R²) analysis to evaluate fermentation quality. The system employs a DHT11 sensor integrated with an ESP8266 microcontroller to collect temperature and humidity data in real time over a 20-day observation period, resulting in 1,008 data points. Fuzzy Logic is applied through fuzzification, rule-based inference, and defuzzification to classify compost conditions into four categories: poor, good, very good, and cooling needed. The model’s performance is further validated using multiple linear regression, with temperature and humidity as independent variables and average temperature as the dependent variable. The results show that compost temperature ranged between 28–32°C and humidity between 50–87%, indicating that the fermentation process was predominantly in the mesophilic or early composting phase. The fuzzy inference results demonstrate that most conditions fell within the “good” category, while the R² value of 0.87 indicates a strong relationship between the observed variables. These findings confirm that the integration of IoT, Fuzzy Logic, and statistical analysis is effective as a real-time monitoring and decision support system for compost management, while also highlighting the need for additional parameters to achieve a more comprehensive compost quality assessment.
Co-Authors Adriansyah, Agil Yafi Agustina, Feri Ahmad Syahreza Ajib Susanto Akbar, Muhammad Ilham Akhyar, Muhammad Wildan Ananta, Putri Rossa Astuti, Yani Parti Azkia, Naila Nur Bahri, Alfino Kautsar Dwitama, Reiza Hersa Egia Rosi Subhiyakto, Egia Rosi Erlin Dolphina Erna Zuni Astuti Hadi, M. Sanuri Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Ibnu Utomo WM Ivan Putra Pratama Juhara, Kanahaya Putri Karis Widyatmoko Kurniawan, Defri Kusumawati, Yupie Liya Umaroh, Liya Muhammad Naufal Mulyono, Ibnu Utomo Wahyu Musyaffa, Muhammad Syihabuddin Nabila, Isyeh Salma Bilqis Nadia Itona Siregar, Nadia Itona Nareswari, Andrea Keysa Nugroho, Aulia Jilan Pramesti, Nadya Arum Prayogo, Sandi Yudha Pulung Nurtantio Andono Putranto, Reza Firmansyah Qomariyah, Dania Saputra, Muhammad Alwi Nanda Sasmita, Tomy Elen Sembiring, Rinawati Septian Enggar Sukmana Setyawan, Aditya Rendy SUDARYANTO SUDARYANTO Sukamto, Titien Suhartini Sunyaruri, Wisesa Sat Syahrazy, Muhammad Anjas Syahreza, Ahmad Tangkas Surya Wibawa Taqi, Muhamad Trisnapradika, Gustina Alfa Utomo, Danang Wahyu Wicaksono, Aldo Anggara Zahrotul Umami, Zahrotul Zaidan, Alfa Hikma