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All Journal ROTOR: JURNAL ILMIAH TEKNIK MESIN Indonesian Journal of Artificial Intelligence and Data Mining SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Informatika Kaputama (JIK) Jurnal Teknik Mesin Jurnal Peduli Masyarakat Dedikasi: Jurnal Pengabdian kepada Masyarakat Jurnal Offshore: Oil, Production Facilities, and Renewable Energy Petro : Jurnal Ilmiah Teknik Perminyakan PEKAT : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sumberdaya Mineral
Eriska Eklezia Dwi Saputri
Program Studi Teknik Perminyakan, Fakultas Teknik, Universitas Jember
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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EVALUASI PREDIKSI KONSUMSI GAS BUMI MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN) Hadziqul Abror; Eriska Eklezia Dwi Saputri; Agus Triono; Henny Dwi Bhakti
Jurnal Informatika Kaputama (JIK) Vol 5, No 1 (2021): Volume 5, Nomor 1 Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v5i1.415

Abstract

The national energy demand, especially the oil and gas sector, is increasing in line with the increasing population and the condition of national economic growth which continues move positively. The increase of energy demand is on average more than 5% per year for this decade. Meanwhile, the condition of national oil and gas reserves and production sector continues to decline every year. This has resulted in Indonesia becoming a net importer of oil and gas. Domestic demand for natural gas increases every year, while on the other hand Indonesia still has commitments to sell natural gas abroad, pipeline gas and LNG. For this reason, a more accurate prediction of natural gas in Indonesia will be very helpful for policy makers so that policies taken are right on target so that natural gas which should be consumed domestically is not exported abroad. One of the good prediction methods is using artificial neural network (ANN). In this study, the input data used are economic growth, population, and gas prices, while the output data is natural gas consumption. This study uses five ANN architectural models that are formed. From the simulation results, the best accuracy is model 1 with an accuracy of 96.89%.
OPTIMASI PANJANG HYDRAULIC FRACTURE PADA RESERVOIR NON-KONVENSIONAL DENGAN METODE UNIFORM CONDUCTIVITY RECTANGULAR FRACTURE Eriska Eklezia D.S.; Hadziqul Abror
ROTOR Vol 13 No 1 (2020)
Publisher : Jurusan Teknik Mesin Fakultas Teknik Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1040.158 KB) | DOI: 10.19184/rotor.v13i1.19135

Abstract

Energy needs in the future will continue to grow along with the growth of the population. Renewable and non-renewable energy sources continue to develop with various innovations. However, energy consumption from non-renewable energy such as coal, oil, and natural gas still dominates. Therefore, one of the potential non-renewable energy sources that can be optimized at present is unconventional oil and gas reserves. Unconventional oil and gas are oil and gas that comes from sourcerock, low permeability reservoirs, such as shale oil, shale gas, tight sand gas, coal bed methane, and methane-hydrate. To produce oil and gas from the tight sand gas reservoir, the hydraulic fracture method is a commonly used method. A hydraulic fracture is a well stimulation technique in which rock is fractured by a pressurized liquid. The process involves the high-pressure injection of fracking fluid into the wellbore to create crack in the deep rock formation through which natural gas, petroleum and brine will flow more freely. When the hydraulic pressure is removed from the well, small grains of hydraulic fracturing proppants hold the fracture open. Well log data such as gamma ray log, SP log, density log, resistivity log and so on will be processed and produce shale volume, porosity, permeability, and water saturation. Procced data from well log will be validated by core data. These data will be input into a reservoir model. A hydraulic fracture design will be made in the reservoir model with a certain length, width, and permeability using the uniform conductivity rectangular fracture method. The simulation will continue by using different length fracture design so that the optimum fracture length value is obtained. Keywords: Hydraulic Fracture, Reservoir Modelling, Reservoir Simulation
Identifikasi Potensi Air Tanah dengan Metode Geolistrik: Studi Kasus di Desa Sumberpakem Kabupaten Bondowoso Welayaturromadhona Welayaturromadhona; Eriska Eklezia Dwi Saputri; Rahma Rei Sakura; Tri Vicca Kusumadewi
JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 6 NOMOR 1 MARET 2022 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat)
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1295.42 KB) | DOI: 10.30595/jppm.v6i1.7033

Abstract

Desa Sumberpakem, Kecamatan Maesan, Kabupaten Bondowoso merupakan salah satu wilayah yang selalu mengalami darurat kekeringan setiap tahunnya. Kegiatan ini bertujuan mendapatkan air tanah sebagai sumber air bersih dan pertanian secara lebih cepat dan murah serta mampu dikelola oleh penduduk dan/atau para petani setempat secara mandiri demi menjamin keberlanjutannya. Setiap daerah memiliki karakteristik geologi dan hidrogeologi yang berbeda. Oleh karena itu perlu dilakukan penyelidikan air tanah dengan studi geologi maupun geofisika untuk mendapatkan gambaran perlapisan bawah tanah dan juga potensi lapisan akuifer air tanah pada suatu daerah. Salah satu metode yang bisa diterapkan adalah metode geolistrik tahanan jenis 1D atau VES (Vertical Electrical Sounding). Metode pengukuran ini memanfaatkan injeksi arus listrik dan menangkap beda potensialnya. Titik pengukuran yang diambil sebanyak 12 titik yang berada di sekitar desa. Dengan pengukuran ini maka diharapkan bisa memberikan informasi bawah permukaan dan keberadaan potensi air tanah untuk memenuhi kebutuhan air. Penyelidikan geolistrik mampu untuk memetakan perlapisan dan potensi air tanah. Area penyelidikan masuk dalam zona Cadangan Air Tanah (CAT) Bondowoso – Jember. Kondisi lapisan tanah lokasi penyelidikan 1 (kode M) terdiri dari Tuff (Akuiklud), Pasir (Akuifer Bebas), Pasir Tuffan, Tuff Pasiran, Pasir Kerikilan, Batu Pasir Tuffan, Pasir dan Breksi Vulkanik. Kondisi lapisan tanah lokasi penyelidikan 2 (kode SA) terdiri dari Tufan Kerikil, Pasir Tufan, Pasir Kerakal, Breksi Tufan, Breksi Gunungapi.
Ekstraksi Zat Warna dari Limbah Kulit Kakao sebagai Alternatif Pewarna Batik guna Meningkatkan Produktivitas Masyarakat Agribisnis Desa Banjar Sengon, Kecamatan Patrang Eriska Eklezia Dwi Saputri; Istiqomah Rahmawati; Rahma Rei Sakura
Dedikasi:Jurnal Pengabdian kepada Masyarakat Vol 2, No 2 (2022): Jurnal Dedikasi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/dedikasi.v2i2.158

Abstract

Cocoa is commonly found in plantation areas, especially in Patrang sub-district. The Community Service Program, Faculty of Engineering with partners, namely the people of Banjar Sengon Village, aims to overcome partner problems, the increasing cocoa husk waste. Utilization of leather waste is still very limited, where people use cocoa husk waste only as animal feed and compost. Cocoa pods contain cellulose 36.23%, hemicellulose 1.14% and lignin 20 -27.95%. In addition, the presence of anthocyanin pigments in cocoa peel is a potential use of cocoa peel extract as a dye for the batik industry. The implementation method of extraction process is by: (1) socializing about the management and processing of cocoa peel waste, (2) Extracting natural dyes from cocoa peel, (3) socializing the use of natural dyes for batik cloth, (4) activities using natural dyes for batik cloth, and (5) marketing of natural dyes from cocoa peel. The result of this community service program is an increase in the usability of cocoa peel waste which is marked by the people of Banjar Sengon Village being able to process cocoa peel waste into natural batik dyes independently and continuously.
Analisa Unjuk Kerja Sucker Rod Pump C-228 D – 213 – 86-7466 Sebagai Metode Pengangkatan Buatan Produksi Minyak Bumi untuk API 15° dan 45° Edward Hamid Muhammad; Hadziqul Abror; Eriska Eklezia Dwi Saputri; Riska Laksmita Sari; Welayaturromadhona Welayaturromadhona
Jurnal Teknik Mesin Vol 15 No 2 (2022): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.15.2.945

Abstract

The oil production process is the process of extracting oil from the reservoir using the wells that have been made. In the production process there are three stages, namely primary recovery, secondary recovery and tertiary recovery. At the primary recovery stage there are two methods, namely production using natural reservoir energy (natural flow) and production using artificial lift methods (artificial lift). There are two basic principles of artificial lift, namely gas lift and pumps. The principle of the gas lift is to inject gas into the bottom of the well thereby reducing the density and pressure gradient of the reservoir fluid so that the fluid flows more easily. While the principle of the pump is to provide additional energy (head) to lift the fluid. The type of pump that is often used for shallow wells is Sucker Rod Pump. The performance of the sucker rod pump is influenced by the characteristics of the well and reservoir such as pressure, well productivity, physical properties of the fluid, as well as the depth of the well and the dimensions of the sucker rod pump. In this study, the factors studied were the physical properties of the fluid, namely the API of the fluid with variations of API 15o and API 45o, as well as the pump volumetric efficiency (Ev) of 90% and 70%. From the analysis carried out, the results obtained a). For API 15° and Ev 90% fluids: 759 stb/day and 39 hp prime mover power; and for API 15° and Ev 70%: 591 stb/day and prime mover power of 32.2 hp. b). For API 45° and Ev 90% fluids: 783 stb/day and prime mover power of 34.3 hp; and for API 45° and Ev 70%: 609 stb/day and prime mover power of 28.6 hp.
EVALUASI PERMASALAHAN GAS LOCK PADA SUMUR MT-02 DI LAPANGAN MT DENGAN METODE SENSITIVITAS FREKUENSI VSD Irvan Saputra; Eriska Eklezia Dwi Saputri; Hadziqul Abror; Riska Laksmita Sari; Welayaturromadhona
PETRO:Jurnal Ilmiah Teknik Perminyakan Vol. 11 No. 4 (2022): DESEMBER
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/petro.v11i4.15441

Abstract

Lapangan MT berlokasi di Tuban, Jawa Timur. Sumur MT-02 merupakan salah satu sumur di lapangan MT yang menggunakan Electrical Submersible Pump (ESP). Dalam pengoperasian pompa ESP di sumur MT-02 sering terjadi permasalahan gas lock. Permasalahan ini ditandai dengan kandungan free gas yang tinggi dan ikut terproduksi yang terakumulasi masuk ke dalam pompa. Apabila free gas cukup banyak ikut terproduksi pada sumur, maka efisiensi pompa mengalami penurunan dan menimbulkan permasalahan pada pompa. Untuk menangani permasalahan gas lock ini, salah satunya adalah dengan mengontrol rate produksi fluida. Hal tersebut dapat dilakukan dengan mengaplikasikan sensitivitas frekuensi Variable Speed Drive (VSD) pada sumur. Dengan perubahan frekuensi yang dapat diatur melalui Variable Speed Drive, maka rate produksi fluida dapat dikontrol sehingga dapat ditentukan rate optimum produksi fluida dimana jumlah free gas yang terproduksi masuk ke dalam pompa tidak mengganggu kinerja pompa dan mencegah terjadinya indikasi gas lock pada sumur. Hasil sensitivitas frekuensi VSD menunjukkan bahwa frekuensi optimum untuk mencegah terjadinya gas lock di sumur MT-02 berada di rentang ≤ 59,47 Hz.
Pengembangan Home Industry Melalui Digital Marketing Bersama KKN BTV UNEJ 2021 Shinta Kristina Nugrahani; Eriska Eklezia Dwi Saputri
PEKAT: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2022): April
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.627 KB) | DOI: 10.37148/pekat.v1i1.5

Abstract

The Corona Virus Disease (COVID-19) pandemic has had a major impact not only on health issues but changes in people's habits also had a national and global economic problem. Indonesia has a big focus on handling the impact of the pandemic, the decline in the number of micro-businesses is due to sales competition experienced by the community. The government's policy in dealing with the pandemic by working from home is also one of the obstacles felt by business actors. This problem is felt by all Indonesian people, including a resident who has a frozen pempek business in Gunung Anyar, Surabaya city, East Java. Through the KKN BTV UNEJ program, it is hoped that it can help develop the potential of UMKM and increase sales by utilizing digital marketing technology. It is overcome by education, training, and mentoring. Education is carried out with basic knowledge of social media, online sales techniques amid during a pandemic, creating creative content, education about effective sales by utilizing social media. Not only education is carried out but also implemented in training and assistance in product manufacture, good packaging, effective sales by utilizing social media and it is hoped that business actors can optimize sales to survive during the pandemic. Evaluation is carried out to find out the results of the work program carried out according to plan through direct discussions and interviews.
EVALUASI PREDIKSI KONSUMSI GAS BUMI MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN) Hadziqul Abror; Eriska Eklezia Dwi Saputri; Agus Triono; Henny Dwi Bhakti
Jurnal Informatika Kaputama (JIK) Vol 5 No 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v5i1.308

Abstract

Kebutuhan energi nasional, terutama sektor migas, meningkat seiring dengan peningkatan jumlah penduduk serta kondisi pertumbuhan ekonomi nasional yang terus bergerak positif. Peningkatan kebutuhan energi ini rata-rata lebih dari 5% per tahun selama satu dekade ini. Sedangkan kondisi cadangan dan produksi sektor migas nasional terus mengalami penurunan setiap tahunnya. Hal ini mengakibatkan Indonesia menjadi negara net importir migas. Kebutuhan gas bumi domestik meningkat setiap tahunnya, sementara di lain sisi Indonesia masih memiliki komitmen kontrak jual beli gas bumi ke luar negeri baik berupa jaringan gas maupun LNG. Untuk itu, diperlukan upaya prediksi kebutuhan gas bumi Indonesia yang lebih akurat agar langkah yang diambil Pemerintah tepat sehingga gas bumi yang harusnya dikonsumsi domestic tidak diekspor ke luar negeri. Salah satu metode prediksi yang baik adalah artificial neural network (ANN). Pada penelitian ini, data inputan yang dipakai adalah pertumbuhan ekonomi, jumlah penduduk, dan harga gas, sementara output yang dicari adalah konsumsi gas bumi. Penelitian ini menggunakan lima model arsitektur ANN yang dibentuk. Dari hasil simulasi didapatkan akurasi terbaik adalah model 1 dengan akurasi 96,89%.
Forecasting Oil Production of Well 159-F-14H in the Volve Field Using Machine Learning Model Devy Ayu Rhamadhani; Eriska Eklezia Dwi Saputri; Riska Laksmita Sari
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.24907

Abstract

Petroleum engineers require information about the production performance of a well in order to know when the well is no longer feasible to produce. By using the approachment technique of machine learning, the research was conducted using a tree-based regression model, Random Forest Regressor, Extra Trees Regressor, and Gradient Boosting Regressor. This research was done by predicting the production of an existing well in the Volve field, namely well 159-F-14H using its field data; average downhole pressure, average downhole temperature, average wellhead temperature, average wellhead pressure, on-stream hours, average choke size percentage, gas volume from well, water volume from well. The data used is 1093 days and 70% is used for training and as much as 30% for testing. A comparative study was carried out on the predictive performance of the three models. Random Forest shows the best testing result as well as RMSE 5.134 and R2 0.974, followed by Gradient Boosting shows RMSE 5.927 and R2 0.965, and Extra Trees shows RMSE 6.524 and R2 0,958.
Peningkatan implementasi Keselamatan dan Kesehatan Kerja (K3) Destana Rambipuji dalam operasi penanggulangan bencana Hadziqul Abror; Eriska Eklezia Dwi Saputri; Riska Laksmita Sari; Welayaturromadhona Welayaturromadhona; Agus Triono
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.23443

Abstract

AbstrakDesa Rambipuji memiliki topografi daratan dengan ketinggian berkisar 145 mdpl dan dilalui oleh sungai Dinoyo yang mengalir dari hulu lereng pengunungan Argopuro. Kondisi sungai terus mengalami pendangkalan, puncaknya pasca banjir bandang 2006 dan sampai saat ini belum ada normalisasi sungai Dinoyo. Desa Rambipuji sangat rawan banjir karena permukaan air sungai Dinoyo relatif sejajar dengan perkampungan padat penduduk sehingga hampir tiap tahunnya mengalami bencana banjir. Untuk menanggulangi bencana banjir yang tiap tahun terjadi, Desa Rambipuji membentuk Desa Tanggap Bencana (Destana) Rambipuji. Destana ini secara cepat dan tanggap melakukan kerja penanggulangan bencana pada pra bencana, darurat bencana serta pasca bencana. Dalam menjalankan fungsinya, Destana terdiri dari unsur pengurus dan relawan. Destana ini sudah dibekali dengan kemampuan teknis kebencanaan, namun saat operasi penanggulangan bencana relawan seringkali bekerja dengan membahayakan diri sendiri seperti tanpa APD yang memadai dan mengabaikan potensi bahaya dari kegiatannya. Untuk itu, penting dilakukan adopsin konsep K3 dari dunia industri untuk diimplementasikan Destana Rambipuji sebagai upaya meminimalisir resiko dan meningkatkan kepatuhan relawan pada prosedur kerja yang memenuhi aspek K3. Adapun kegiatan pengabdian ini meliputi tahap persiapan program pada bulan Juni-Juli 2023; Sosialisasi K3 dalam operasi tangguh bencana dan bimbingan teknis penyusunan job safety analysis (JSA) operasi bencana yang dilaksanakan pada tanggal 29 Juli 2023; serta pendampingan penyusunan SOP kerja berbasis K3 yang dilaksanakan pada bulan Agustus-November 2023. Dari kegiatan ini, relawan Destana Rambipuji memiliki kesadaran terkait pentingnya budaya K3, mampu melakukan managemen resiko saat operasi tanggap bencana, mampu menyusun dokumen JSA, serta melengkapi SOP kerja berbasis K3. Kata kunci: K3; destana; tangguh bencana; banjir AbstractRambipuji Village has a land topography with an altitude of around 145 metres above sea level and is traversed by the Dinoyo river which flows from the upstream slopes of the Argopuro mountains. The condition of the river continues to silt up, culminating in the 2006 flash flood and until now there has been no normalisation of the Dinoyo river. Rambipuji village is prone to flooding because the Dinoyo river's water level is relatively level with the densely populated villages, so flooding occurs almost every year. To cope with the floods that occur every year, Rambipuji Village formed the Rambipuji Disaster Response Village (Destana). This Destana quickly and responsively carries out emergency work in pre-disaster, disaster emergency and post-disaster. In carrying out its functions, Destana consists of administrators and volunteers. Destana has been equipped with disaster technical skills, but during disaster management operations volunteers often work by endangering themselves such as without adequate PPE and ignoring the potential dangers of their work. For this reason, it is important to adopt the Occupational Health and Safety (OHS) concept from the industrial world to be implemented by Destana Rambipuji as an effort to minimise risk and increase volunteer compliance with work procedures that meet OHS aspects. The service activities include the program preparation stage in June-July 2023; OHS socialisation in disaster resilient operations and technical guidance on the preparation of job safety analysis (JSA) for disaster operations carried out on 29 July 2023; and assistance in preparing OHS-based work SOPs carried out in August-November 2023. From this activity, Destana Rambipuji volunteers have an awareness of the importance of OHS culture, are able to carry out risk management during disaster response operations, are able to compile JSA documents, and complete OHS-based work SOPs. Keywords: HSE; disaster response village; disaster resilience; flood
Co-Authors Agus Triono Devy Ayu Rhamadhani Edward Hamid Muhammad Gede Hermawan Manuaba, Ida Bagus Hadziqul Abror Henny Dwi Bhakti Henny Dwi Bhakti Hermawan, Bagus Danial Irvan Saputra Istiqomah Rahmawati Novanti, Natasya Dwi Rahma Rei Sakura Riska Laksmita Sari Sabila, Firman Sauqi Nur Saputra, Irvan Shinta Kristina Nugrahani Tri Vicca Kusumadewi Welayaturromadhona