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Demonstrasi Alat Pirolisis Sampah Plastik Sebagai Upaya Peningkatan Kesadaran Lingkungan Siswa SMPN 13 Balikpapan Besse Namira Putri; Maulidi Rahmawati; Asyer Yostian Sambara; Durrotun Nurin Nasiqa; Nur Annisa Herliyani; Rizky Zulfian Istiansyah; Muhammad Ikmal Hakimi; Darwin Fahreza; Isnan Rab Berutu; Ghifari Laitsi Alfatin; Muhammad Rivaldy; Abdul Gafar Karim; Aprilino Alfa Kurmasela
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 : Mei (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Community Service (KKN) is one of the forms of student service to the community as a manifestation of the implementation of higher education's tri dharma. KKN Group 2 of STT Migas Balikpapan was carried out in Teritip Village, East Balikpapan District, Balikpapan City, East Kalimantan during the period of September 8 to October 18, 2025. The main focus of the work program was the application of pyrolysis technology as an innovative solution for managing plastic waste into alternative fuel. The waste problem in Teritip Village is a serious concern given the sub-optimal waste management system in RT.30. Implementation methods included socialization, demonstration of pyrolysis equipment at SMPN 13 Balikpapan, The results of the activity showed an increase in community awareness towards sustainable waste management, as well as high enthusiasm from students and residents in accepting pyrolysis technology. This program provides dual benefits: reducing the volume of waste while producing alternative energy. This KKN activity is expected to be the first step towards a clean, productive, and environmentally conscious Teritip Village.
Evaluasi Pengaruh Multi Segment Periode Produksi Terhadap Akurasi Forecast Decline Curve Analysis pada Sumur 7289 Lapangan Volve Maulidi Rahmawati; Fatma Fatma; Mirza Mirza
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61118

Abstract

Daily oil production data often exhibit fluctuations and changing decline trends, which can reduce forecast accuracy when the entire production period is represented by a single decline pattern. This study evaluates the accuracy of a production-period segmentation approach in Decline Curve Analysis for Well 7289 in the Volve Field. The study used 546 daily oil production records classified as USE. Production rates were normalized using On_Stream_Hrs to obtain equivalent 24-hour rates, then divided into Fitting, Validation, and Late Decline segments and modeled using the Arps Exponential equation. Forecast performance was evaluated using RMSE, MAE, MAPE, and R². The model yielded an RMSE of 126.23 STB/day, MAE of 92.31 STB/day, MAPE of 8.57%, and R² of 0.703. The results indicate that segmentation supports a more structured evaluation of production changes. Future studies should apply statistical segmentation criteria and compare alternative decline models.