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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Petroleum and Geothermal Technology International Journal of Community Service Jurnal Offshore: Oil, Production Facilities, and Renewable Energy Jurnal Penelitian dan Karya Ilmiah Lembaga Penelitian Universitas Trisakti Petro : Jurnal Ilmiah Teknik Perminyakan JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Journal of Earth Energy Science, Engineering, and Technology Advance Sustainable Science, Engineering and Technology (ASSET)
Arinda Ristawati
Universitas Trisakti
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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QUALITATIVE AND QUANTITATIVE ANALYSIS OF WATER CONING AND BREAKTHROUGH TIME PREDICTION ON ZNC FIELD Aqlyna Fattahanisa; Rini Setiati; Arinda Ristawati; Puri Wijayanti
Journal of Petroleum and Geothermal Technology Vol 4, No 2 (2023): November
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jpgt.v4i2.10108

Abstract

Given the current public need for oil and gas as a primary energy, all oil and gas companies need to increase production to meet this demand. One of the things companies usually do to achieve this is to evaluate and analyze the productivity of each well. Of course, production decreases from time to time, so the company must try to increase its production. One of the reasons for the decline in oil production from the ZNC-1 well in the ZNC Field is the production of excessive water content. There are several factors that cause excessive water content in oil wells, and this is called water coning. The method used to determine the occurrence of the water cone problem requires qualitative and quantitative analysis. In using qualitative analysis, two analyzes were carried out, including an analysis of the production history of the well and an analysis of the Chan Diagnostic Plot showing bottom-water coning problems with late-time channeling. Meanwhile, based on the quantitative results, the critical flow rate of the ZNC-1 well calculated using the Bornazel and Jeanson method is 167 STB/D. With these results, the value of the critical flow discharge is greater than the actual discharge, which is 291.3 STB/D. Thus it can be ascertained that there has been water coning in the ZNC-1 well. After that, the breakthrough time obtained by the Bournazel and Jeanson method was 361.3 days.
Willow Project Socialization As An Introduction To Petroleum Engineering At Yos Sudarso Metro High School Prayang Sunny Yulia; Apriandi Rizkina Rangga Wastu; Arinda Ristawati; Pauhesti Pauhesti; Ridha Husla; Gracia Betaria Jacqueline Timpal; Puri Wijayanti; Reza Aryanto; Widia Yanti
International Journal Of Community Service Vol. 4 No. 1 (2024): February 2024 (Indonesia - Malaysia)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v4i1.247

Abstract

The Willow Project is located on Alaska's north slope, within the National Petroleum Reserve, which is held by the United States federal government. Based on the topics being discussed, a strong desire was developed, particularly among Yos Sudarso Metro High School students, to learn about the causes for oil drilling, as well as the impacts and benefits of drilling from diverse perspectives. Concerning the community service that according to Willow Project theme, the lecturers as the facilitators of this community service assisted students who wanted to find a solution to the Willow Project issue, where they hoped that there would be several points regarding the impact and benefits of academia in the energy sector, particularly petroleum engineering. As a result of socialization regarding the Willow Project drilling, impacts and benefits have been imparted in the Community Service activities, which are separated into environmental impacts, climate impacts, and social impacts. Following an overview of the impact of the Willow Project drilling, the benefits of the drilling are explained, including job creation and economic benefits, energy independence, and tax revenue. The crux of the impacts and benefits given is that it is still envisaged that fossil energy would be used to increase jobs in the nearby community and globally. Aside from that, it is desired that the development of renewable energy, the reduction of drilling in conservation areas, and the preservation of environmental integrity would continue.
Viscosity Modeling of MES and SLS Using Machine Learning Method Muhammad Taufiq Fathaddin; Rini Setiati; Fahrurrozi Akbar; Iwan Sumirat; Bharoto; Ranggi Sahmura Ramadhan; Onnie Ridaliani Prapansya; Arinda Ristawati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2304

Abstract

Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict the viscosity of surfactant solutions. Experimental data included viscosity measurements of 36 MES and SLS samples at various concentrations and temperatures, obtained by digitizing viscosity curves. These data served as input and validation for the ANN and ANFIS models. The results showed that ANFIS predicted viscosity values ​​reliably, yielding only 1.33% and 0.43% differences for MES and SLS, respectively. Comparison of viscosity prediction with Artificial Neural Network (ANN) showed that ANFIS prediction was better, because ANN yielded two deviating predictions.
Pemodelan dan Prediksi Densitas Larutan Porang dan Xanthan Gum dengan Menggunakan Model-Model Machine Learning Andrian Sutiadi; Izumi Wicaksono Dardjat; Muhammad Dzaki Arkaan; Dwi Atty Mardiana; Muhammad Taufiq Fathaddin; Pri Agung Rakhmanto; Havidh Pramadika; Arinda Ristawati
Jurnal Offshore: Oil, Production Facilities and Renewable Energy Vol. 8 No. 2 (2024): Jurnal Offshore: Oil, Production Facilities and Renewable Energy
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jo.v8i2.2085

Abstract

One physical characteristic that is helpful in comprehending the physical and chemical characteristics of a solution is the density of the polymer solution. Its primary function is to ascertain the polymer's concentration in solution. The density value can be used to estimate the polymer concentration in solution. The study of the flow and viscosity of polymer solutions also makes use of the interaction between the polymer and solvent. This study aims to establish a relationship between the density of porang and xanthan gum solutions and the percentage of porang, polymer content, and salinity. Machine learning models, like the Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), are used for modeling. The creation of these machine learning models used 471 digitized data of density curves of porang solution, xanthan gum solution, and porang-xanthan gum mixture solution. The training, validation, and testing processes of the ANN and ANFIS models provided average correlation coefficients of 0.99955 and 0.99999, respectively. Comparison between the estimates of the ANN and ANFIS models and the measurement results of 27 porang and xanthan gum solutions provided accurate results with correlation coefficients of 0.99893 and 0.99996, respectively.    
Peningkatan kesadaran keselamatan dan ergonomi kerja pada industri konveksi busana muslim melalui pelatihan berbasis K3 teknik perminyakan Aqlyna Fattahanisa; Havidh Pramadika; Marmora Titi Malinda; Riskaviana Kurniawati; Arinda Ristawati; Hayyan Muhammad
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 4 (2026): August (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i4.40334

Abstract

AbstrakIndustri konveksi busana muslim merupakan bagian dari UMKM yang memiliki peran penting dalam perekonomian masyarakat, tetapi sering mengabaikan aspek keselamatan dan kesehatan kerja (K3) serta ergonomi. Pekerja biasanya duduk dalam waktu lama dan menangani material secara manual, sehingga berisiko mengalami gangguan muskuloskeletal. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kesadaran, pengetahuan, dan keterampilan pekerja konveksi dalam menerapkan prinsip K3 dan ergonomi, serta mengadaptasi konsep K3 Teknik Perminyakan ke sektor non-migas. Mitra kegiatan ini adalah Konveksi Busana Muslim Tachi Syari di Kota Bekasi, dengan sembilan peserta pelatihan. Metode yang digunakan meliputi observasi dan identifikasi risiko, penyuluhan, demonstrasi dan praktik ergonomi serta manual handling, penyediaan sarana ergonomis dan alat pelindung diri (APD), pendampingan penataan ruang kerja, serta penyusunan prosedur keselamatan. Evaluasi dilakukan dengan kuesioner Nordic Body Map (NBM), tes pengetahuan sebelum dan sesudah pelatihan, serta kuesioner kepuasan peserta. Hasilnya, nilai pengetahuan rata-rata meningkat dari 77,22% (kategori Cukup) menjadi 90,00% (kategori Baik), naik 12,78 poin persentase, dan semua peserta (100%) mencapai kategori Baik. Penilaian NBM menunjukkan bahawa semua pekerja berada dalam kategori risiko rendah. Tingkat kepuasan peserta mencapai 91,33% dan semua peserta menyatakan bahwa mereka sangat puas. Kegiatan ini terbukti efektif dalam membangun budaya kerja yang aman dan ergonomis di UMKM konveksi serta memperluas penerapan ilmu K3 ke berbagai sektor. Kata kunci: K3; ergonomi; konveksi; APD; musculoskeletal. AbstractThe Muslim fashion convection industry is part of the MSMEs that plays a vital role in the community's economy, but often neglects aspects of occupational safety and health (K3) and ergonomics. Workers typically sit for long periods and handle materials manually, putting them at risk of musculoskeletal disorders. This community service activity aims to increase the awareness, knowledge, and skills of convection workers in applying K3 and ergonomics principles, as well as adapting the K3 concept of Petroleum Engineering to the non-oil and gas sector. This activity partner is Konveksi Busana Muslim Tachi Syari in Bekasi City, with nine training participants. The methods used include observation and risk identification, counseling, demonstrations and practices of ergonomics and manual handling, provision of ergonomic facilities and personal protective equipment (PPE), assistance in arranging workspaces, and developing safety procedures. Evaluation was carried out using the Nordic Body Map (NBM) questionnaire, pre- and post-training knowledge tests, and participant satisfaction questionnaires. As a result, the average knowledge score increased from 77.22% (Sufficient category) to 90.00% (Good category), an increase of 12.78 percentage points, and all participants (100%) achieved the good category. The NBM assessment showed that all workers were in the low-risk category. The participant satisfaction level reached 91.33% and all participants stated that they were very satisfied. This activity has proven effective in building a safe and ergonomic work culture in the garment MSME and expanding the application of OHS knowledge to various sectors. Keywords: occupational safety; ergonomics; garment workshop; PPE; musculoskeletal.
Co-Authors Andrian Sutiadi Andry Prima Apriandi Rizkina rangga Wastu Aqlyna Fattahanisa Bayu Satiyawira Bharoto Christin Palit Doddy Doddy Eka Rizky Elfrida Ratnawati Fadliah, Fadliah Fahrurrozi Akbar Ghanima Yasmaniar Gracia Betaria Jacqueline Timpal Harin Widiyatni Havidh Pramadika Havidh Pramadika Hayyan Muhammad Iwan Sumirat Izumi Wicaksono Dardjat Kurniawati, Riskaviana Mardiana, Dwi Atty Marmora Titi Malinda Meldinar Riska Puspitosari Muhammad Dzaki Arkaan Muhammad emil isnan Muhammad Ridhal Malik Syafrudin Muhammad Taufiq Fathaddin, Muhammad Taufiq Mulia Ginting Mulia Ginting Mustamina Maulani Onnie Ridaliani, Onnie Pauhesti Pauhesti Pri Agung Rakhmanto puri wijayanti Puri Wijayanti Rafiz Ari Nugraha Ranggi Sahmura Ramadhan Reza Aryanto Ridha Husla Rini Setiati Samsol Sugiatmo Kasmungin Sugiatmo Kasmuning Taat Tri Purwiyono Widia Yanti Widia Yanti Yulia, Prayang Sunny Yusuf Dzaru Bawono