Abstract:Abstract: Bullying in Indonesian elementary schools continues to pose a significant threat to students' safety and well-being. In order to improve anti-bullying literacy, increase social awareness, and promote a secure…
and welcoming school environment, the "Building a Child-Friendly School Climate: Bullying Prevention Program in Elementary Schools" program was put into place. Thirty-two pupils in grades IV–VI participated in the one-day participatory activity at SDN 010029 Perkebunan Sukaraja Village, Asahan Regency. Ice-breaking, conversation, role-playing, storytelling, poster-making, and introspection were among the techniques employed. A Likert-scale questionnaire evaluation revealed an average overall score of 3.75 (very good category), with material understanding (3.81) and applicability to school life (3.78) showing the greatest signs.Students' awareness, empathy, and bravery in confronting bullying increased, according to qualitative data. The activity's outcomes show that a practical, experience-based approach is successful in fostering a school climate that is kid-friendly and establishing anti-bullying ideals. From a scientific perspective, this program helps primary schools create models of violence prevention and character education that align with the national PPKSP and Child-Friendly Schools regulations. It is hoped that this program will be adopted as a routine school activity.
Keywords: anti-bullying literacy; school climate; bullying; child-friendly schools; elementary education
Abstrak: Perundungan (bullying) di sekolah dasar masih menjadi tantangan serius bagi kesejahteraan dan rasa aman peserta didik di Indonesia. Program Membangun Iklim Sekolah Ramah Anak: Program Pencegahan Perundungan di Sekolah Dasar dilaksanakan untuk memperkuat literasi anti-perundungan, meningkatkan kesadaran sosial, dan menumbuhkan budaya sekolah yang aman serta inklusif. Kegiatan dilaksanakan secara partisipatif selama satu hari di SDN 010029 Desa Perkebunan Sukaraja, Kabupaten Asahan, dengan melibatkan 32 siswa kelas IV–VI. Metode yang digunakan mencakup ice-breaking, diskusi, storytelling, permainan peran, pembuatan poster, dan refleksi. Evaluasi melalui angket skala Likert menunjukkan rata-rata skor keseluruhan sebesar 3,75 (kategori sangat baik), dengan indikator tertinggi pada keterpahaman materi (3,81) dan relevansi dengan kehidupan sekolah (3,78). Data kualitatif memperlihatkan peningkatan kesadaran, empati, dan keberanian siswa menolak perundungan. Hasil kegiatan ini membuktikan bahwa pendekatan berbasis pengalaman langsung efektif dalam menanamkan nilai-nilai anti-perundungan dan memperkuat iklim sekolah yang ramah anak. Secara ilmiah, program ini berkontribusi pada pengembangan model pendidikan karakter dan pencegahan kekerasan di sekolah dasar yang sejalan dengan kebijakan nasional PPKSP dan Sekolah Ramah Anak. Program ini diharapkan diadopsi sebagai kegiatan rutin sekolah. Keterbatasan kegiatan yang dilaksanakan satu hari masih menyisakan ruang untuk penguatan program secara berkelanjutan melalui aktivasi Satgas PPKSP.
Kata kunci: Perundungan; Iklim Sekolah; Sekolah Ramah Anak; Literasi Anti-Perundungan; Pendidikan Dasar
Abstract:The use of natural resources for the implementation of development is closely related to the environment and spatial planning. These two things have so far tended to be unplanned and unsustainable, the result of which is…
a decline in the quality and function of the environment, including the natural resources within it. Environmental problems are increasing day by day, this indicates that environmental policy has not been successful. The community service activity was carried out on Friday 26 July 2024 at the Subak Sibang Kaja Abiansemal Hall. The problem formulation in this report is firstly, What is the form of community synergy to realize sustainable development in environmental management? and secondly, what are the inhibiting factors in realizing sustainable development? The aim of this report is to find out the synergy of society in realizing sustainable development in environmental management and what factors are obstacles in realizing sustainable development. This implementation method uses socialization where implementation is carried out through lectures given by resource persons with the aim of making the community understand the importance of management. environment . The results of the first community service activities are in the form of synergy which occurs in the form of cooperation between the community and the government in environmental management such as establishing a waste bank and the first inhibiting factors in sustainable development, lack of public awareness, the absence of legal regulations that provide appropriate sanctions. firm and finally the existence of climate change in an area
Keywords: environment; improvement; sustainable developmen.
Abstract:Abstract: Accurate forecasts of tea harvest production are important for workforce planning, factory operations, and marketing decisions, yet conventional estimation in plantations often relies on field experience and can…
n be biased and less adaptive to changing conditions. This study aims to develop a Random Forest Regression model to predict tea harvest production at the Bah Butong tea plantation using historical operational and climate-related data. The dataset consists of 60 monthly records (2020–2024) with six predictor variables: rainfall (mm), number of rainy days, pest level, weed level, number of harvested trees and land area. Data were split into 80% training (48 samples) and 20% testing (12 samples). Model hyperparameters were optimized using RandomizedSearchCV with RepeatedKFold cross-validation (5 folds, 3 repeats). The tuned model achieved MSE of 668,980,524.45, RMSE of 25,864.66 kg, MAE of 19,838.69 kg, and MAPE of 7.59% on the test set. The results indicate that the model can provide practical production estimates, with errors averaging about 7–8% of the actual production. Feature importance analysis shows that the number of harvested tea bushes and cultivated area contribute most to predictions. Future work should extend the historical period and incorporate time-based features (seasonality/lag) for improved forecasting.
Keywords: hyperparameter tuning; production prediction; random forest; regression; tea harvest
Abstrak: Perkiraan akurat produksi panen teh sangat penting untuk perencanaan tenaga kerja, operasional pabrik, dan keputusan pemasaran, namun estimasi konvensional di perkebunan seringkali bergantung pada pengalaman lapangan dan dapat bias serta kurang adaptif terhadap perubahan kondisi. Studi ini bertujuan untuk mengembangkan model Regresi Random Forest untuk memprediksi produksi panen teh di perkebunan teh Bah Butong menggunakan data operasional dan data terkait iklim historis. Dataset terdiri dari 60 catatan bulanan (2020–2024) dengan enam variabel prediktor: curah hujan (mm), jumlah hari hujan, tingkat hama, tingkat gulma, jumlah pokok panen, dan luas lahan. Data dibagi menjadi 80% data pelatihan (48 sampel) dan 20% data pengujian (12 sampel). Parameter model dioptimalkan menggunakan RandomizedSearchCV dengan validasi silang RepeatedKFold (5 lipatan, 3 pengulangan). Model yang telah disempurnakan mencapai MSE sebesar 668.980.524,45, RMSE sebesar 25.864,66 kg, MAE sebesar 19.838,69 kg, dan MAPE sebesar 7,59% pada set data uji. Hasil tersebut menunjukkan bahwa model dapat memberikan estimasi produksi yang praktis, dengan kesalahan rata-rata sekitar 7–8% dari produksi aktual. Analisis kepentingan fitur menunjukkan bahwa jumlah semak teh yang dipanen dan luas lahan budidaya paling berkontribusi pada prediksi. Pekerjaan selanjutnya harus memperpanjang periode historis dan menggabungkan fitur berbasis waktu (musiman/lag) untuk peramalan yang lebih baik.
Kata kunci: panen teh; prediksi produksi; random forest; regresi; tuning parameter
Abstract:Abstract: Rokan Hulu Regency is one of the regencies in Riau Province and has 2 large rivers, namely the Rokan Kanan River and the Rokan Kiri River. When the level of rainfall is high, the river flow overflows and causes…
flooding in several sub-districts. Climate change that is happening has an impact on changes in rainfall patterns, to overcome the impacts of climate change Rokan Hulu Regency needs to take early steps before a flood disaster occurs. The method used in processing the data is the backpropagation method and data processing using the Matlab software. Data processing was carried out on rainfall data for the last 6 years, from 2015 to 2020, which was sourced from the Rokan Hulu Regency Statistics Agency. Rainfall data from 2015 to 2019 is used as input data, while 2020 is the target. The data processing stage begins with data normalization and determining network training parameters. Artificial neural network research was carried out on rainfall data with a 5-5-1 architecture. The results of testing the rainfall data show prediction results with high accuracy, where the average accuracy rate reaches 98.17% with the highest accuracy of 99.99% while the lowest accuracy is 91.53%. The prediction results show a fairly high level of accuracy so that they can be used as evaluation material.
Keywords: artificial neural network; backpropagation; prediction; rainfall
Abstrak: Kabupaten Rokan Hulu merupakan salah satu kabupaten yang berada di Provinsi Riau dan memiliki 2 aliran sungai besar yaitu sungai rokan kanan dan sungai rokan kiri. Ketika tingkat curah hujan tinggi aliran sungai meluap dan menyebabkan banjir beberapa kecamatan. Perubahan iklim yang terjadi memberikan dampak pada perubahan pola curah hujan, untuk menanggulangi dampak perubahan iklim Kabupaten Rokan Hulu perlu melakukan langkah-langkah dini sebelum terjadi bencana banjir. Metode yang digunakan dalam mengolah data yaitu metode backpropagation dan pengolahan data menggunakan software Matlab. Pengolahan data dilakukan pada data curah hujan selama 6 tahun terakhir yaitu dari tahun 2015 sampai dengan 2020 yang bersumber dari Badan Statistik Kabupaten Rokan Hulu. Data curah hujan tahun 2015 sampai dengan tahun 2019 sebagai data input sedangkan tahun 2020 sebagai target. Tahapan pengolahan data diawali dengan melakukan normalisasi data dan menentukan parameter pelatihan jaringan. Penelitian jaringan saraf tiruan dilakukan pada data curah hujan dengan arsitekur 5-5-1. Hasil pengujian terhadap data curah hujan menunjukkan hasil prediksi dengan akurasi yang tinggi, dimana tingkat akurasi rata-rata mencapai 98,17% dengan akurasi tertinggi sebesar 99,99% sedang akurasi terendah sebesar 91,53%. Hasil prediksi menunjukkan tingkat akurasi yang cukup tinggi sehingga dapat digunakan sebagai bahan evaluasi.
Kata kunci: backpropagation; curah hujan; jaringan saraf tiruan; prediksi
Abstract:This study aims to construct an integrated constellation model and determine optimal strategies for reinforcing lecturers’ professional commitment at leading private universities in Bogor. Utilizing the POP-SDM (Modeling…
ng and Optimization of Management Resources) framework, the research integrates elements of local wisdom and organizational support within a systemic approach to human resource development. The exploratory qualitative phase involved in-depth interviews and focus group discussions to uncover major determinants influencing professional commitment. From the thematic analysis, four principal variables emerged—teamwork, organizational climate, religiosity, and work motivation—which were validated through expert judgment. Quantitative verification was subsequently performed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) technique to examine both direct and indirect relationships among constructs. The analysis confirmed that all variables exert positive and significant effects on lecturers’ professional commitment, with work motivation being the most dominant factor. To refine improvement priorities, the SITOREM (Scientific Identification Theory for Conducting Operational Research in Educational Management) method was applied, identifying indicators that should be improved, maintained, or further developed. The findings offer empirical and practical insights, including: (1) a validated POP-SDM–based commitment model combining cultural and organizational dimensions; (2) evidence-based strategies to enhance lecturer professionalism; and (3) an optimization framework to guide sustainable lecturer development in higher education institutions.
Abstract:The challenges posed by climate change and the decline of biodiversity to the sustainability of global agricultural systems are serious.Agroforestry has emerged as a strategy with the potential to enhance the resilience…
of agricultural systems while conserving biodiversity amidst the threats of climate change.This study aims to evaluate the potential of agroforestry to enhance biodiversity and the resilience of agricultural systems to climate change in Dulamayo, Gorontalo. The research methodology is based on vegetation analysis and the calculation of biodiversity indices, with data collection encompassing measurements of tree characteristics and species identification.The results indicate the presence of 17 tree species with a total of 154 individuals, where Candlenut (Aleurites molucana) and Sugar Palm (Arenga pinnata) dominate with proportions of 22.73% and 20.13%, respectively. The Shannon-Wiener diversity index yielded a moderate value (H' = 2.311) with a high evenness level (E = 0.816), indicating a high ecosystem stability.The findings suggest that the agroforestry system in Dulamayo plays a crucial role in supporting biodiversity and the resilience of ecosystems to climate change through its complex and diverse vegetation structure.
Abstract:This study aims to analyze land surface temperature changes in Sorong City, Indonesia using Landsat 8 satellite image data and Google Earth Engine cloud computing platform. With rapid urbanization, understanding the dynamics…
mics of surface temperature is important. Through satellite imagery and cloud computing technology, this analysis provides accurate monitoring of temperature change, supports climate change mitigation strategies, and designs more sustainable cities.
Abstract:The hospitality sector is one of the impacted industries, as it is closely connected to the tourism sector by providing lodging for tourists. However, there have been some favourable effects, such as the establishment of…
Kokoon Hotel Banyuwangi in reaction to the pandemic scenario. Increase in staff turnover is correlated with the appearance of opportunities that have resulted from the tourism recovery programme that the Indonesian government has implemented as a response to the Covid-19 outbreak, as was stated before. The research aims to investigate the employees' perception of the workplace climate at Kokoon Hotel Banyuwangi and determine the extent to which the work environment impacts their intention to continue working at the hotel. The qualitative method offers an opportunity for an in-depth exploration of Kokoon Hotel Banyuwangi's Efforts in Retaining Employees. This research found that skill development, career advancement, pay, work culture, benefits, and outstanding relationships affect employee satisfaction at Kokoon Hotel Banyuwangi. To retain staff, Kokoon Hotel Banyuwangi offers cross-training programmes, fair promotion processes, and a comfortable work culture for employee development. Kokoon Hotel Banyuwangi employees depart for financial, professional, and outside experience reasons. Kokoon Hotel Banyuwangi has to strengthen work culture, interactions with supervisors, coworkers, and subordinates, and employee skill development.
Abstract:This research analyzes Indonesia's role in addressing the challenges of climate change from a foreign policy perspective, highlighting the factors that influence policy formation, the diplomacy strategies implemented, as…
well as their impact at the global level. With a comprehensive review, this research aims to provide insights into how Indonesia interacts with the international community in an effort to address the global environmental crisis. Through an exploration of the internal and external factors that influence foreign policy on climate change, the article identifies the challenges faced as well as the opportunities that exist for Indonesia to play a more active role in shaping the global environmental agenda. By highlighting Indonesia's contributions to climate change mitigation and adaptation as well as its environmental diplomacy efforts, this article provides a better understanding of the complex dynamics between Indonesia's foreign policy and climate change issues in the context of international relations.
Abstract:This in-depth research on "The Influence of Transformational Leadership in Improving the Performance of Educational Organizations" uses a qualitative library research method. The main focus of this research is to understand…
and how transformational leadership affects organizational culture, employee motivation, and academic performance in educational settings. The results showed that transformational leadership plays a central role in shaping a positive and inclusive organizational culture, focusing on empowerment, shared vision, and open communication. The dimension of individual empowerment through responsibility and autonomy creates a work climate that supports creativity and growth. A shared vision clearly articulated by the transformational leader provides strong direction for team members, creates meaning in every action, and increases employee engagement. Open communication maintained by transformational leaders provides space for ideas and opinions to flourish, creating a collaborative work environment. The importance of applying transformational leadership in the context of educational organizations is also recognized in the implications of this research. Contributions to the understanding of transformational leadership can help educational leaders develop more contextualized and relevant leadership strategies. The practical implications of this research include the development of leadership training and development programs as well as the formulation of educational policies that support organizational growth and educational quality improvement. Although this study provides a deeper understanding, recognition of the critiques and limitations of previous studies provides a foothold for further research in exploring the complexities of transformational leadership in educational organizations.