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All Journal Jambura Journal of Electrical and Electronics Engineering Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) CENDEKIA : Jurnal Ilmu Pengetahuan Journal Of Human And Education (JAHE) Jurnal Abdimas Terapan JURNAL PENGABDIAN TEKNIK INDUSTRI Empiris Jurnal Pengabdian Pada Masyarakat (EJPPM) Jurnal Pengabdian Pada Masyarakat Eldimas Jurnal Teknik Elektro
Ikhsan Hidayat
Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Digitalisasi Arsip Persuratan Desa melalui Integrasi Google Drive pada Aplikasi Persuratan Desa Ulfatun Nadifa; Andi Sitti Dwi Auliyani; Abdul Gani Fadhlulrahman S. H. Lihawa; Ikhsan Hidayat; Rahmad Hidayat Dongka; Ade Irawaty Tolago; Salmawaty Tansa; Bambang Panji Asmara; Rahmat Deddy Rianto Dako; Afifah Farhanah Akadji
Empiris Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 1 (2026): April 2026
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59713/wed3bq75

Abstract

Digitalisasi arsip persuratan menjadi salah satu kebutuhan penting dalam meningkatkan efisiensi administrasi desa. Di Kelurahan Heludulaa Selatan, pengelolaan arsip surat masih dilakukan secara lokal sehingga berisiko mengalami kehilangan data, duplikasi dokumen, dan keterbatasan akses ketika diperlukan. Kegiatan pengabdian kepada masyarakat ini bertujuan mengimplementasikan integrasi Google Drive pada aplikasi persuratan desa sebagai media arsip digital untuk mendukung pengelolaan dokumen yang lebih aman, terstruktur, dan mudah diakses. Pelaksanaan kegiatan dilakukan melalui empat tahapan, yaitu identifikasi kebutuhan dan kondisi pengelolaan arsip, pengembangan fitur integrasi Google Drive pada aplikasi persuratan desa, pelatihan penggunaan sistem kepada perangkat desa, serta pendampingan dan evaluasi implementasi. Integrasi sistem memungkinkan setiap surat yang dihasilkan secara otomatis disimpan dalam format digital ke Google Drive dengan pengelompokan berdasarkan jenis surat dan periode penyimpanan sehingga memudahkan proses pencarian, pencadangan, dan pengelolaan arsip. Hasil implementasi menunjukkan bahwa fitur arsip digital berhasil diterapkan pada aplikasi persuratan desa dan memperoleh respons positif dari perangkat kelurahan karena mampu mempercepat proses pengarsipan, mengurangi risiko kehilangan dokumen, serta meningkatkan efisiensi pengelolaan administrasi. Kegiatan ini memberikan solusi praktis bagi digitalisasi administrasi desa melalui pemanfaatan layanan penyimpanan berbasis cloud yang mudah diimplementasikan, berbiaya rendah, dan berkelanjutan. Pengembangan selanjutnya dapat diarahkan pada integrasi dengan sistem informasi desa lainnya serta penambahan mekanisme keamanan dan pengelolaan hak akses arsip digital.
Automatically Retrained Machine Learning System for Rice Yield Prediction Using Open-Meteo and BPS Data Ulfatun Nadifa; Ikhsan Hidayat; Wildan
Jurnal Teknik Elektro Vol. 18 No. 1 (2026)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v18i1.41368

Abstract

This study proposes a machine learning–based rice yield prediction system with a self-updating mechanism, using Gorontalo Province, Indonesia, as a case study. The system integrates daily climate data from Open-Meteo with agricultural statistics from the Central Bureau of Statistics (BPS) to support data-driven decision-making in agriculture. A key challenge addressed in this study is the limited availability of yield data, which are provided only at an annual scale for the period 2018–2024, without seasonal labels. To overcome this limitation, a temporal disaggregation approach is adopted to construct initial seasonal yield labels (M1, M2, M3). These constructed labels serve as approximations, enabling the development of a seasonal prediction model under data-constrained conditions. Several machine learning algorithms, namely Gradient Boosting, Random Forest, XGBoost, Ridge Regression, and Linear Regression, are evaluated using Leave-One-Out Cross-Validation (LOO-CV). Model performance is assessed using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R²). The results indicate that ensemble-based models outperform linear baselines, with Gradient Boosting providing the best balance between prediction accuracy and model stability. The main contribution of this study is the design of an adaptive prediction system with a self-updating mechanism that supports periodic retraining and dynamic model evaluation. At its current stage, this mechanism is positioned as an initial framework rather than a fully validated continuous learning system. The proposed system is implemented as a web-based platform that supports yield prediction and planting season recommendations, providing a scalable foundation for intelligent agricultural systems in data-limited environments.
RANCANG BANGUN SISTEM PAKAN TERNAK AYAM OTOMATIS DENGAN KENDALI WAKTU MENGGUNAKAN ARDUINO UNO DAN RTCDS3231 Sugianto Saputra; Bambang Panji Asmara; Syahrir Abdusamad; Wahab Musa; Zainudin Bonok; Ikhsan Hidayat
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 6 No. 3 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v6i3.10642

Abstract

Manual chicken feeding is still widely implemented in small- and medium-scale poultry farms, often resulting in inconsistent feeding schedules, feed waste, and labor inefficiency. This study aims to design and develop a time-based automatic chicken feeding system using Arduino Uno and the RTC DS3231 module, as well as to evaluate system performance in distributing feed according to predefined schedules. The research employed a research and development method with a design-and-build approach, including hardware design, software development, system integration, and functional testing of each component. The system testing involved the RTC DS3231 module, servo motor as the feed container actuator, ultrasonic sensor for feed level detection, LCD for information display, and buzzer as a warning indicator. Data were collected through direct observation of time accuracy, actuator response, and sensor readings. The results showed that the developed system was able to distribute feed automatically according to scheduled times, display real-time feed availability conditions, and provide notifications when feed levels reached the minimum threshold. The system was considered effective in improving feed management efficiency, reducing dependency on manual labor, and showing strong potential for application in small- and medium-scale poultry farming. Further development is recommended through Internet of Things (IoT) integration and adaptive feed quantity control. ABSTRAK Pemberian pakan ayam secara manual masih banyak diterapkan pada peternakan skala kecil dan menengah, sehingga sering menimbulkan ketidaktepatan jadwal distribusi pakan, pemborosan pakan, serta inefisiensi tenaga kerja. Penelitian ini bertujuan merancang dan membangun sistem pakan ternak ayam otomatis berbasis waktu menggunakan Arduino Uno dan modul RTC DS3231, serta menguji kinerja sistem dalam mendistribusikan pakan sesuai jadwal yang telah diprogram. Penelitian menggunakan metode research and development dengan pendekatan rancang bangun yang meliputi perancangan perangkat keras, perancangan perangkat lunak, integrasi sistem, serta pengujian fungsional setiap komponen. Pengujian dilakukan pada modul RTC DS3231, motor servo sebagai aktuator pembuka wadah pakan, sensor ultrasonik untuk mendeteksi ketersediaan pakan, LCD sebagai media tampilan informasi, dan buzzer sebagai indikator peringatan. Data diperoleh melalui observasi langsung terhadap akurasi waktu, respons aktuator, dan pembacaan sensor. Hasil penelitian menunjukkan bahwa sistem mampu mendistribusikan pakan secara otomatis sesuai jadwal yang telah ditentukan, menampilkan kondisi ketersediaan pakan secara real time, serta memberikan notifikasi ketika pakan berada pada kondisi minimum. Sistem yang dikembangkan dinilai mampu meningkatkan efisiensi manajemen pemberian pakan, mengurangi ketergantungan pada tenaga kerja manual, dan berpotensi diterapkan pada peternakan ayam skala kecil dan menengah. Penelitian ini merekomendasikan pengembangan lebih lanjut melalui integrasi teknologi Internet of Things (IoT) dan pengaturan jumlah pakan secara adaptif.
Comparative Analysis and Optimization of GIS-Based Rooftop Solar Power Plants Ikhsan Hidayat; Sardi Salim; Ade Irawaty Tolago; Yasin Mohamad; Zainudin Bonok
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.34333

Abstract

The increasing demand for electricity and the global commitment to carbon reduction have encouraged higher education institutions to integrate renewable energy into campus infrastructures. However, most previous rooftop PV studies at Universitas Negeri Gorontalo (UNG) have been limited to single-building assessments or have not fully integrated spatial analysis with technical simulation. This study addresses this research gap by conducting a comparative analysis and system optimization of a rooftop photovoltaic (PV) installation at the Faculty of Engineering building using a combined Geographic Information System (GIS) approach and detailed technical simulation through HelioScope. The optimized design yields a total capacity of 368.79 kWp comprising 647 Canadian Solar 570W modules. Simulation results indicate an annual energy output of 486.5 MWh with a Performance Ratio (PR) of 95.8%, where PR represents the ratio of actual system performance to ideal irradiance conditions, and a solar access value of 99.2%. The economic assessment shows a payback period of 11.04 years under an export tariff of IDR 1,440/kWh. Furthermore, a comparative evaluation with two previous studies demonstrates significant improvements in both technical and economic aspects due to the integrated GIS and high-resolution simulation approach. The findings provide a valuable reference for advancing renewable energy implementation in educational institutions, particularly in designing efficient and sustainable rooftop PV systems.
Co-Authors Abdul Gani Fadhlulrahman S. H. lihawa Abdul Haris Mubarak Ade Irawaty Tolago Afifah Farhanah Akadji Al Mahdali Amiruddin Y Dako Amirudin Y. Dako Andi Sitti Dwi Auliyani Arafat, Muhammad Yasser Arifin Matoka Ayu . Latifaf Bambang Panji Asmara Buyung R. Machmoed Fachrur Razy Rahman Fentje Abdul Rauf Hendra Uloli Ifan Wiranto Iskandar Zulkarnain Nasibu Jumiati Ilham Lanto Mohamad Kamil Amali Moh . Afandy Moh Afandy Muhammad Sarlin Rahmad Hidayat Dongka Rahmat D.R. Dako Rahmat Deddy Rianto Dako Salmawaty Tansa Sardi Salim Sri Wahyuni Dali Sugianto Saputra Sunardi . Syahrir Abdusamad Syahrir Abdussamad Taufiq Ismail Yusuf Ulfatun Nadifa Wahab Musa Wildan Wildan Wrastawa Ridwan Yasin Mohamad Zainudin Bonok