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All Journal JOURNAL OF EARTH ENERGY ENGINEERING Dinamisia: Jurnal Pengabdian Kepada Masyarakat EDUKATIF : JURNAL ILMU PENDIDIKAN To Maega: Jurnal Pengabdian Masyarakat Journal of Applied Engineering and Technological Science (JAETS) Jurnal Pengabdian kepada Masyarakat Nusantara Petro : Jurnal Ilmiah Teknik Perminyakan Jurnal Pengabdian Pada Masyarakat LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI International Conference on Digital Advanced Tourism, Management, and Technology Scientific Contributions Oil and Gas
Fiki Hidayat
Department Of Petroleum Engineering, Universitas Islam Riau, Indonesia
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Internal Auditor’s Performance In Sas Parts Companies Fiki Hidayat; Kun Ismawati; Kunreza Oktaviansyah
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.127

Abstract

Auditors’s performance currently faces challenges in gaining public trust. Many factors are considered to influence, while several previous studies still show inconsistent results. The aim of the research is to identify the influence of independence, worksexperience and ethics’s code on performance of internal auditors at SAS PARTS companies. This quantitative research’s data gained from questionnaires. The research’s population were 40 auditors spread across branch offices in Indonesia. The saturation sampling techniques used in this research. The method to analyze data was multiple linear regression. Indications of the research’s results as follows: 1. Independence does not affect internal auditor’s performance. It can be shown from the third question item which states that the lack of auditee assistance in collecting audit evidence has an impact on auditor performance. Auditor performance is not solely shown by auditor independence. 2. Work experience does not influence internal auditor’s performance, this is because the majority of respondents work less than 3 years which causes their lack on experience in carrying-out assignments. 3. The Ethic’s code affects the performance of internal auditor because of the existence of a code of ethics as a guide for the auditor to know what is allowed and not to be done, in order to improve the internal auditor’s performance. 4. Independence, work experience, and code of ethics simultaneously (together) affect the performance of auditors at SAS PARTS Company. There has never been any other previous research on this research object of SAS PARTS Company about internal auditor’s performance.
Application of PCA and Machine Learning for Predicting Oil Measurement Discrepancies in Custody Transfer Systems: Understanding from an Indonesian Mature Onshore Facility Wan Fadly; Fiki Hidayat; Noratikah Abu; Muhammad Khairul Afdhol; Dike Putra; Mulyandri
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.404

Abstract

Oil measured volume discrepancies in custody transfer systems is becoming a persistent challenge, which is often caused by complex thermal, hydraulic, and compositional interactions. Therefore, this study aimed to introduce a data-driven framework incorporating Principal Component Analysis (PCA) and machine learning (ML) to identify as well as predict discrepancies at a representative onshore gathering station (GS) in Indonesia (Field-X). Major operational parameters, including gross volume, unallocated net oil, pressure, temperature, and Basic Sediment & Water (BS&W), were analyzed to assess the impact on volumetric imbalance. During the analysis, PCA reduced 64 correlated variables to five principal components, explaining 95% of the total variance and showing gross volume, pressure, and temperature as dominant factors. Four ML models, namely XGBoost, Random Forest, Support Vector Regression, and ElasticNet, were trained as well as validated with three-fold time series cross-validation for temporal robustness. Incorporating PCA significantly improved predictive performance, with Support Vector Regression showing the largest R² increase (from –0.0082 to 0.82). Results signified that discrepancies were primarily governed by thermodynamic shrinkage, temperature changes, and BS&W-related metering errors. In addition, the proposed PCA–ML framework offered an interpretable, reliable method for early detection and mitigation of oil volume discrepancies in complex production environments.
Pectin Extraction of Jackfruit Peel as a Biopolymer Potential with Microwave Assisted Extraction Method Muhammad Khairul Afdhol; Fiki Hidayat; Tomi Erfando; Dita Putri Purnama
Scientific Contributions Oil and Gas Vol 47 No 2 (2024)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.47.2.1618

Abstract

Polyacrylamide and polysaccharides are commonly used polymers, but they have certain disadvantages. Hydrolyzed polyacrylamide (HPAM) is particularly susceptible to harsh reservoir conditions, including high shear forces, salinity, and temperature. Xanthan gum biopolymer has drawbacks, such as high cost and susceptibility to reservoir biodegradation. In contrast, pectin is a viable alternative owing to its excellent biodegradability, natural decomposition, transparency, good elongation properties, and strong gel-forming ability. In this study, we characterize and analyze the rheology of biopolymers derived from jackfruit skin. Jackfruit peel, a waste product, contains a high pectin content of 23.47%, which can be extracted through microwave assisted extraction (MAE). The MAE method combines microwave and solvent extraction, offering the advantage of a fast extraction time. The resulting biopolymer is expected to enhance water viscosity and meet characterization standards for petroleum applications. FTIR test results reveal the functional groups that constitute the pectin compounds. Biopolymer concentrations used were 1,000, 2,000, and 3,000 ppm. The viscosity values of pectin were 0.503, 0.565, and 0.592 cp, while the viscosity values of xanthan gum were 1.266, 3.096, and 13.13 cp. Pectin has a lower viscosity compared to xanthan gum, and the viscosity of both biopolymers decreases as salinity increases. The reduction in viscosity for pectin during thermal testing was 26%, 28%, and 30%, whereas for xanthan gum, it was 21%, 49%, and 42%. This decrease in viscosity is attributed to the high shear rate and high salinity, which disrupt gel formation. 
Co-Authors Adrian, Dedek Akbar Septiawan Anas Hidayat Andrian, Dedek Arbi Haza Nasution, Arbi Haza Ari Prasetyo Borry Frima Maulana Chahyana, Indry Chalidah Pratiwi Siregar Dike Putra Dita Putri Purnama Dita Putri Purnama Elfis Elfis Elfis Elfis Elfis Elfis Elfis, Elfis Erfando Tomi Faradinna, Syarifah Farradinna, Syarifah Fitra Ayu Lestari Fitra Ayu Lestari Fitra Lestari Harya Dwi Nugraha Indri Kusumastuti Indry Chahyana Indry Chahyana Kun Ismawati Kunreza Oktaviansyah Kusumastuti, Indri Lestari, Fitra Ayu Maulana, Borry Frima Mohammad Yossy Febrian Muhammad Afdhol Muhammad Khairul Afdhol Muhammad Khairul Afdhol Muhammad Khairul Afdhol Muhammad Yudatama Hasibuan Muhammad Yudatama Hasibuan Mulyandri Muslim Abdurrahman, Muslim Noratikah Abu Norlis, Norlis Novia Rita P. Sari, Riri Permatasari, Tika Prima Titisari Prima Wahyu Titisari Rahmadani, Dina Nuzila Ramadan Ramadan Rosdanelli Hasibuan Saputra, Dadan D.S.M. Sekar Ayu Saharani Sekar Saharani Shania Regina Tika Permatasari Tika Permatasari Tirta Rona Mayangsari Tomi Tomi Erfando Tomi Erfando Tomi Erfando Tomi Erfando Tomi Erfando, Tomi Tomi, Erfando Wan Fadly Zen, Irina Safitri