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All Journal Jurnal Ecosolum AGRICOLA MEDIAN JURNAL PENDIDIKAN TAMBUSAI Journal of System and Computer Engineering Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Jurnal Sains dan Teknologi Pertanian Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal EBONI
Karuru, Sakti Swarno
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Social Sciences Veterinary Other

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ANALISIS KETERKAITAN SIFAT TANAH DENGAN KANDUNGAN KARBON TANAH PADA HUTAN SEKUNDER, KELAPA SAWIT, AGROFORESTRI DAN SAWAH DI KABUPATEN LUWU TIMUR: Analysis of the Relationship of Soil Properties with Soil Carbon Content in Secondary Forests, Palm Palm, Agroforestry and Rice Fields in East Luwu Regency karuru, sakti swarno; ., Hadija; Galla, Ernytha A.
Jurnal Eboni Vol. 6 No. 1 (2024): Juli
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v6i1.2423

Abstract

This research aims to describe the relationship between soil properties and soil carbon content in secondary forests, oil palm, agroforestry and rice fields. Determination of soil sampling points is carried out at each land cover unit with fairly uniform vegetation conditions that represent the land cover. Soil samples were taken at 3 depth levels, namely 0-10 cm, 10-20 cm and 20-30 cm. There are two types of soil sampling carried out; disturbed land and intact land. The results of the research show that the ability of each land cover to have soil carbon value with the relationship between soil properties has different results. The highest soil carbon values in various land covers in East Luwu Regency are rice fields at 70.50 tons/ha, oil palm 59.38 tons/ha, agroforestry 58.13 tons/ha and secondary forest 54.60 tons/ha. The results of the C-organic correlation test were found to be a very influential parameter on paddy field cover, where the correlation value of C-Organic to soil carbon stocks was 0.998, showing significant correlation results at the 00.5 level with a very strong relationship.
SOSIALISASI PENGEMBANGAN TANAMAN TEMBAKAU DAN PENERAPAN TEKNIS BUDIDAYA TEMBAKAU UNTUK PENINGKATAN PRODUKTIVITAS PETANI DI SUMALU LEMBANG RANTEBUA Kannapadang, Sepsriyanti; Oktafianus, Sion; Karuru, Sakti Swarno; Kannapadang, Dwibin
Indonesian Journal of Engagement, Community Services, Empowerment and Development Vol. 5 No. 3 (2025): Indonesian Journal of Engagement, Community Services, Empowerment and Developme
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijecsed.v5i3.235

Abstract

This community service program aims to improve farmers' knowledge and skills regarding the development of tobacco plants and the application of proper cultivation techniques to increase productivity in Lembang Rantebua, Rantebua District, North Toraja Regency. The activities were carried out on July 15, 2025 through counseling and direct training to farmer groups. The method used includes lectures, discussions, technical assistance, and demonstration plots focusing on land preparation and seed selection, fertilization management, environmentally friendly pest and disease control, and harvesting/post-harvest curing processes. The result of this activity showed that farmers gained improved understanding and skills in good tobacco cultivation practices, were able to adopt recommended cultivation techniques, and had better awareness of the importance of efficient input use for productivity enhancement. This program is expected to support tobacco agribusiness expansion and sustainably improve farmer income.
Bayesian-Optimized Prophet for Tourism-Based Regional Government Revenue Forecasting Adha, Muhammad Sofwan; Karuru, Sakti Swarno; Angel, Feby; Joling, Jesika
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2373

Abstract

Accurate hotel tax revenue forecasting is critical for supporting proactive fiscal planning in tourism-dependent local governments . Hotel tax revenues in these regions exhibit high volatility influenced by seasonal tourism patterns, visitor preferences, economic conditions, and external shocks such as the COVID-19 pandemic . Traditional time series forecasting methods such as Autoregressive Integrated Moving Average (ARIMA) and Exponential Smoothing struggle to capture complex seasonal patterns and accommodate multiple external factors . Recent advances in time series forecasting—particularly Facebook's Prophet framework—offer automatic decomposition of trend, seasonality, and holiday effects, plus the ability to integrate external regressors . However, Prophet's performance is highly sensitive to hyperparameter configurations, and default settings often produce suboptimal results on volatile data . Bayesian Optimization has emerged as an efficient technique for hyperparameter tuning, achieving convergence with significantly fewer iterations compared to exhaustive grid search . This study develops and validates a Bayesian-Optimized Prophet Framework for forecasting monthly hotel tax revenue in Kabupaten Tana Toraja, a cultural tourism destination in Indonesia, over 60 months (January 2020–December 2024) encompassing normal conditions, pandemic disruption, and recovery phases. The optimized model achieved Mean Absolute Percentage Error (MAPE) of 9.59% compared to baseline Prophet's 33.72%—a 71.55% improvement in forecasting accuracy. Mean Absolute Error (MAE) reduced from Rp 11.76 million to Rp 3.34 million per month. Robustness testing during COVID-19 pandemic demonstrated model stability with MAPE ≤15% despite >60% revenue decline. The framework provides 24-month forecasts (2025–2026) with 95% confidence intervals and decision-support capability with lead-time advantage of 3–6 months for early revenue shortfall detection. This research contributes a reproducible, efficient methodology for hyperparameter tuning in time series forecasting within fiscal planning domain, applicable to other tourism-dependent regions and tax categories.
Co-Authors ., Hadija Adewidar Marano Pata'dungan Adha, Muhammad Sofwan Agung, Sri Putri Aksadi, Hendrik Angel, Feby Borotoding, Nataniel S Burhanuddin Rasyid, Burhanuddin Daniel, Agustina Debianti, Debianti Dwibin Kannapadang Febrianti, Irene Galla, Ernytha A Galla, Ernytha A. Galla, Ernytha Anita Gallang, Raymon Tandi Gau, Seni Randa hendry, hendry efrianto palayukan Joling, Jesika Karua, Agustinus Tandi Karua, Ergenius Edo Kembong, Renianti Kisen, Kisen Agian Pappa Lempang, Pasari Limbongan, Yusuf La'lang Maliku, Ganesia N Moda, Moda Oktafianus, Sion Pali’padang, Hengky Pandung, Natalia Patasik, Raisak Sidang Pata’dungan, Adewidar M. Putri, Elisabeth Randa, Golindira Ra’dak, Riski Sepsriyanti Kannapadang Situru’, Darmita Batti’ Syamsuddin Millang, Syamsuddin Toding, Ernawaty Willy Yavet Tandirerung Yusuf L. Limbongan Yusuf, Dhedhe Zul, Andi Farmy