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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jambura Journal of Food Technology JSAI (Journal Scientific and Applied Informatics) JAGO TOLIS : Jurnal Agrokompleks Tolis Jurnal Abdimas Terapan Jurnal Ilmu Komputer dan Sistem Informasi KETIK : Jurnal Informatika Journal Of Software Engineering And Communication Journal Of Fisheries Agribusiness Jurnal Cendekia Ilmiah PESHUM KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jurnal Kendali Teknik dan Sains
Fuad Pontoiyo
Universitas Negeri Gorontalo
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Physics Social Sciences Transportation Other

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INTEGRASI FILSAFAT LINGKUNGAN PERTANIAN KONSERVASI EX-SITU TANAMAN SEBAGAI KEMASAN MAKANAN: PENDEKATAN ETIKA DAN NILAI INTRINSIK Modjo, Ardiyanto Saleh; Faqih, Ahmad; Pontoiyo, Fuad; Alio, La; Syam, Muh Arfah; Hasim, Hasim; Baruwadi, Mahludin H; Musa, Weny J.A
Jambura Journal of Food Technology Vol 6, No 2 (2024): Desember
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjft.v6i2.29489

Abstract

Studi ini bertujuan untuk mengeksplorasi hubungan antara pendekatan filsafat lingkungan dan praktik konservasi ex-situ spesies Saribus rotundifolia. Meningkatnya ancaman terhadap spesies ini akibat deforestasi dan perubahan iklim, konservasi ex-situ menjadi strategi penting. Namun, pendekatan etis dalam konservasi sering kali diabaikan. Studi ini mengkaji nilai intrinsik spesies dalam kerangka biosentrisme dan ekosentrisme, serta memper-timbangkan aspek keadilan lingkungan dan keterlibatan masyarakat lokal. Artikel ini disusun berdasarkan tinjauan pustaka dari berbagai literatur terkait konservasi spesies tumbuhan dan filsafat lingkungan. Hasil studi ini diharapkan dapat memberikan wawasan tentang pentingnya integrasi etika lingkungan dalam kebijakan dan praktik konservasi.
Digitalisasi Koperasi Merah Putih dan Sistem Informasi Berbasis Web Untuk Meningkatkan Partisipasi Program Keluarga Berkualitas di Desa Tiohu Rosbin Pakaya; Nur Oktavin Idris; Fuad Pontoiyo
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 2 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i2.6410

Abstract

Optimization of participation in the quality family program and the digitalization of the Merah Putih cooperative in Tiohu Village is the main focus of this community service, based on the challenge of low public participation due to limited access to information and the still manual recording process. This study aims to develop a web-based information system to support the quality family program while also digitizing the cooperative, in order to sustainably increase community involvement in the village’s social and economic services. The methodology applied includes needs identification, system design and development using the PHP programming language and MySQL database, followed by socialization, participatory training, and monitoring and evaluation. The results show that the implemented digital system has succeeded in accelerating access to information, strengthening the service functions of the quality family program, and encouraging the cooperative’s economic independence. Implicitly, this activity contributes to the development of a digital technology-based empowerment model that is adaptive to the local context, while also providing a tangible impact in improving management efficiency and community participation
Evaluasi Model Machine Learning untuk Prediksi Harga Mobil dengan Perbandingan Ensemble dan Regresi Linear Nur Oktavin Idris; Fuad Pontoiyo
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 1 (2025): Januari 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i1.181

Abstract

Car price prediction is a major challenge in the automotive industry because it is influenced by various factors, such as technical specifications, fuel type, and transmission system. This research aims to evaluate and compare the performance of linear regression models and ensemble learning methods, namely Random Forest and Gradient Boosting, in predicting car prices. The dataset used comes from Kaggle, with 11,914 rows of data and 16 features. The research process includes the stages of data understanding, data preparation, modeling, and evaluation using the Mean Squared Error (MSE) and R-squared (R²) metrics. The research results show that the Gradient Boosting model has the best performance, with an R² value of 0.963868 and the lowest MSE compared to other models, followed by Random Forest with an R² of 0.899657. In contrast, linear regression showed lower performance, with an R² of 0.417905, indicating its limitations in handling non-linear relationships in the data. The prediction results from the best model show price estimates that are quite close to actual prices, although some improvements still need to be made through hyperparameter optimization. This research confirms that ensemble learning methods, especially Gradient Boosting, provide a more effective approach to predicting car prices than linear regression. This model has the potential to be applied in the automotive industry to improve the accuracy of vehicle price estimates for manufacturers, dealers, and consumers.
Analisis Regresi Linear dan Ensemble Learning Berbasis Kontribusi Fitur dalam Prediksi Harga Mobil Listrik Nur Oktavin Idris; Fuad Pontoiyo
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9891

Abstract

This study aims to analyze the performance of linear regression and ensemble learning methods in predicting electric vehicle prices based on technical specifications, as well as to examine the contribution of key features to the prediction results. The main challenge in electric vehicle price prediction lies in the high price variability driven by nonlinear relationships among technical attributes, which are difficult to capture using simple linear models. Linear regression was employed as a baseline model, while Random Forest and Gradient Boosting were used as ensemble learning approaches. The dataset was obtained from Kaggle and processed through data cleaning, categorical encoding, normalization, and an 80:20 train–test split. Model performance was evaluated using mean squared error (MSE) and the coefficient of determination (R²). The results indicate that the Gradient Boosting model achieved the best performance, with an MSE of 8.63 and an R² of 0.891, outperforming both Random Forest and linear regression models. Feature contribution analysis reveals that vehicle acceleration time is the most influential factor in determining electric vehicle prices. These findings demonstrate that ensemble learning not only improves predictive accuracy but also provides analytical insights into the key technical factors shaping electric vehicle pricing.
Rancang Bangun Aplikasi Pemesanan Lapangan Olahraga Berbasis Dekstop dengan Pendekatan Object Oriented Programming Moh. Anggriawan Arif; Idris, Nur Oktavin; Pontoiyo, Fuad
Jurnal Kendali Teknik dan Sains Vol. 4 No. 1 (2026): Januari: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v4i1.5983

Abstract

Manual management of sports field bookings is still widely practiced and often leads to scheduling conflicts, data recording errors, and low service efficiency. This study aimed to design and develop a desktop-based sports field booking application that automates the booking process and manages schedules in a structured manner. The research employed a system design and development method using an object-oriented programming (OOP) approach. Data were collected through direct observation of the booking process, interviews with field managers, and documentation of system requirements. The application was developed using the Python programming language with the PyQt5 framework for the graphical user interface and MySQL as the database management system. The results showed that the developed application is capable of managing field data, schedules, bookings, and user information in an integrated manner while reducing recording errors and minimizing scheduling conflicts. The application of OOP resulted in a modular, well-organized, and maintainable system structure. This application is expected to improve the efficiency and accuracy of sports field booking management and provide a practical solution for implementing a computerized booking system.
Co-Authors Abdul Haris PanaI Ahmad Faqih Ahmad Faqih Ahmad Faqih Ardiyanto Saleh Modjo Dewi Wahyuni K. Baderan Farid Farid Hasim Hasim Hasim Hasim Hasim, H Iswan Dunggio La Alio La Alio Liputo, Burhan Mahludin H. Baruwadi Marini Susanti Hamidun Moh. Anggriawan Arif Muh. Arfah Syam Mukhtar, Sigit Adi Nur Oktavin Idris Nur Oktavin Idris Ramli Utina Rosbin Pakaya Sukirman Rahim Syam, Muh Arfah Syam, Muh. Arfah Yunita Djamalu