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All Journal JTAM (Jurnal Teori dan Aplikasi Matematika) TEKNIKA SIGn Journal of Social Science
Wijaya, Andry
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences

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ANALISA KEBUTUHAN DIMENSI INSTALASI PENGOLAHAN AIR LIMBAH (IPAL) KOMUNAL DI LINGKUNGAN RT. 05 KELURAHAN PETANANG ILIR KOTA LUBUKLINGGAU Wijaya, Andry; Aminuddin, Kiagus Muhammad; Usman, Arie Putra
TEKNIKA: Jurnal Teknik Vol 12 No 1 (2025)
Publisher : Universitas IBA Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35449/teknika.v12i1.349

Abstract

Lingkungan RT 05 Kelurahan Petanang Ilir, Kecamatan Lubuklinggau Utara I, Kota Lubuklinggau, Sumatera Selatan, merupakan kawasan padat penduduk dengan lebih dari 105 kepala keluarga atau sekitar 505 jiwa pada tahun 2021, yang mengalami kondisi kumuh akibat buruknya pengolahan air limbah dan sanitasi. Mayoritas warga masih membuang limbah rumah tangga di pekarangan karena kurangnya pemahaman tentang tata ruang dan kebersihan lingkungan, sehingga menyebabkan pencemaran dan kontaminasi sumur air bersih oleh zat berbahaya dari septic tank yang jaraknya kurang dari 5 meter. Studi ini bertujuan untuk memberikan solusi atas masalah tersebut dengan merancang Instalasi Pengolahan Air Limbah (IPAL) Komunal yang mampu melayani 50 rumah dengan luas lokasi 4 x 12 meter. Dalam perancangan, digunakan proyeksi pertumbuhan penduduk selama 10 tahun ke depan sebesar 645 jiwa, dengan penggunaan air bersih sebesar 90 liter per orang per hari, dan debit air limbah 55,68 m³ per hari. Dimensi bak-bak IPAL meliputi Bak Inlet (0,75 x 3,20 x 1,00 m), Bak Settler (4,40 x 3,20 x 2,00 m), 9 Bak Anaerobic Filter (1,55 x 1,00 x 2,00 m), dan Bak Outlet (0,85 x 1,00 x 1,70 m). Diharapkan dengan pengolahan air limbah domestik ini, pencemaran lingkungan dapat berkurang dan kesehatan masyarakat meningkat. Kata kunci : IPAL Komunal; Debit Air Limbah; Kelurahan Petanang Ilir; Settler; Anaerobic Filter
Prediction of Maternity Recovery Rate of Group Long-Term Disability Insurance Using XGBoost Kusnadi, Felivia; Wijaya, Andry; Lesmono, Julius Dharma
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 4 (2023): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i4.16825

Abstract

To help insurers determine insurance rates incorporating maternity factors, it is crucial to understand the maternity recovery rate, which was a metric used by insurance companies to understand how much of the expenses associated with maternity care and related medical services are covered by their policies. This paper employed Extreme Gradient Boosting (XGBoost), a powerful method for handling complex data relationships and preventing overfitting, on North American Group Long-Term Disability dataset obtained from the Society of Actuaries, which listed maternity as one of its categories, to predict the maternity recovery rate. In comparison, other machine learning methods such as Gradient Boosting Machine (GBM) and Bayesian Additive Regression Tree (BART) were used, with Root Mean Squared Error (RMSE) values calculated the difference between predicted and observed maternity recovery rates. Four datasets, 3 imbalanced and 1 fairly-balanced, were created out of the original dataset to test each method’s predictive prowess. The study revealed that XGBoost performed exceptionally well on the imbalanced datasets, while BART showed slight superiority in fairly-balanced data. Furthermore, the model identified the duration, exposures, and age of participants in both predicting maternity recovery rates and the underwriting process. 
The Effectiveness of Public Policy in the Management of Sustainable Marine Culinary Tourism Syahrial, Syahrial; Mufti, Mohamad Irfan; Hakim, Abd.; Wijaya, Andry; Anjarsari, Hilda
SIGn Journal of Social Science Vol 6 No 1: Juni - November 2025
Publisher : CV. Social Politic Genius (SIGn)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37276/sjss.v6i1.528

Abstract

The management of marine culinary tourism in Bulukumba Regency faces a fundamental paradox between the imperative of ecological conservation and the demands of tourism-based economic growth. The failure to balance these two aspects indicates a deeper problem than mere policy implementation. This research aims to critically analyze the effectiveness of public policy in managing sustainable marine culinary tourism. The analysis focuses on the root cause of this failure, identified as a governance deficit. Using a qualitative case study approach, data were collected through in-depth interviews with key stakeholders. These stakeholders included government elements, Micro, Small, and Medium Enterprise (MSME) actors, fishing communities, and environmental activists, supplemented by policy document analysis. The research findings reveal that the policy failure is rooted in a systemic governance deficit. It manifests in three forms: (1) a policy paradox that creates normative conflicts at the regulatory level; (2) an implementation gap where economic empowerment programs are partial, charitable in nature, and ecologically blind; and (3) the marginalization of local actors due to the dominance of an exclusive, top-down approach. It is concluded that the solution lies not in adding new regulations, but instead in a fundamental reconfiguration of the governance model. Therefore, a paradigm shift is recommended from hierarchical government to collaborative governance. This model places substantive public participation and community-based oversight at the center of achieving just, inclusive, and sustainable marine tourism.
Co-Authors Abd. Hakim Aminuddin, Kiagus Muhammad Arie Putra Usman Dharma Lesmono Hilda Anjarsari Kusnadi, Felivia Mufti, Mohamad Irfan SYAHRIAL SYAHRIAL