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All Journal ROTOR: JURNAL ILMIAH TEKNIK MESIN JOURNAL OF EARTH ENERGY ENGINEERING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Adimas : Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Kaputama (JIK) Jurnal Teknik Mesin Jurnal Teknologi Informasi dan Multimedia Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Peduli Masyarakat Journal of Petroleum and Geothermal Technology Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan JUKESHUM: Jurnal Pengabdian Masyarakat Petro : Jurnal Ilmiah Teknik Perminyakan PEKAT : Jurnal Pengabdian Kepada Masyarakat Journal of Sustainable Energy Development Jurnal Teknologi Sumberdaya Mineral

Hadziqul Abror

Department Of Petroleum Engineering, Faculty Of Engineering, University Of Jember

Author-ID : 2546464

Religion 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 Transportation Other

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An Integrated Survey of the Geochemical Study at the Blawan-Ijen Area, East Java Riska Laksmita Sari; Firman Sabila; Haeruddin Haeruddin; Eriska Saputri; Welayaturromadhona Welayaturromadhona; Hadziqul Abror; Sartika Purwandari; Agus Triono
Journal of Earth Energy Engineering Vol. 10 No. 2 (2021)
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2021.5263

Geothermal energy is a renewable alternative energy source. One of the analyses used to determine the characteristics of a geothermal field is water geochemical analysis. The target of this research is the Blawan-Ijen geothermal prospect area, Bondowoso. The geochemical analysis was carried out using AAS, Spectrophotometer and acid-base titration. This survey shows the characteristics of the geothermal system and geothermal fluid in the Blawan area, Ijen. From the chemical analysis of hot water, we found that the types of geothermal water fluids in the Blawan Ijen area vary. In samples BL1, BL2 and BL5 included in the type of Sulphate Water with the dominant elemental Sulphate (SO4) content is also known as Sulfuric Acid Water (Acid-Sulphate Water). Then for the BL4 sample included in the type of chloride water. This type of water is a type of geothermal fluid found in most areas with high-temperature systems. Areas with large-scale hot springs flowing with high Cl concentrations originate from deep reservoirs and indicate permeable zones in those areas. However, this area may not be located above the main upflow zone. There are several other possibilities, such as topographic influences, which can significantly impact hydrological control. The presence of chlorine gas can also identify high zones' permeable areas (e.g., faults, breccia eruptions or conduit). In contrast, BL3 samples are included in the Bicarbonate Water-type. The element HCO3 (bicarbonate) is the most dominant element (main anion) and contains CO2 gas from the chemical analysis results. HCO3 water is generally formed in marginal and near-surface areas in systems dominated by volcanic rocks, where CO2 gas and condensed water vapour into groundwater. The vapour condensation can either heat the groundwater or be heated by steam (steam heated) to form an HCO3 solution

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

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

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

Aplikasi Adaptive Neuro Fuzzy System (ANFIS) Untuk Mem-prediksi Kebutuhan Gas Bumi Indonesia Henny Dwi Bhakti; Hadziqul Abror
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 2 (2022): Agustus
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i2.198

Kebutuhan energi di Indonesia terus mengalami peningkatan setiap tahun. Kebutuhan energi tersebut dipenuhi dari energi primer yang berasal dari batu bara, min-yak bumi, gas bumi, serta energi baru terbarukan (EBT) misalnya energi panas bumi, an-gin, panel surya dan sebagainya. Dari empat energi primer tersebut, gas bumi merupakan energi fosil yang ditingkat-kan bauran energinya sampai tahun 2050. Hal ini dikarenakan cadangan gas bumi yang cukup besar, ramah lingkungan dan relatif murah daripada minyak bumi, serta gas bumi untuk pembangkit listrik dan bahan baku industri. Konsumsi gas bumi di Indonesia terus meningkat, sedangkan besar cadangan gas bumi Indonesia semakin berkurang dan masih adanya komitmen ekspor gas bumi selama puluhan tahun ke depan. Mulai tahun 2012, prosentase pemanfaatan gas bumi Indonesia untuk konsumsi domestik mulai lebih besar daripada untuk ekspor. Seiring dengan terus meningkatnya konsumsi domestik tersebut dapat mengakibatkan Indonesia akan menjadi negara net im-porter gas bumi di kemudian hari. Untuk itu, diperlukan upaya prediksi kebutuhan konsumsi gas bumi di masa depan yang akurat sehingga pemerintah dapat mengupayakan pemenuhan pasokan gas bumi tersebut baik dari kegiatan eksplorasi dan eksploitasi dalam negeri maupun membuka opsi impor. Maka proyeksi tersebut dapat dibantu menggunakan Artificial Intelligence dengan memasukan beberapa parameter yang mempengaruhi konsumsi. Adaptive Neuro Fuzzy Inference System (ANFIS) merupakan suatu sistem yang meng-gabungkan kemampuan jaringan syaraf tiruan dan logika fuzzy. Untuk itu, pada penelitian ini dilakukan prediksi kebutuhan gas bumi menggunakan ANFIS dengan tiga parameter inputan yang dipakai adalah pertumbuhan ekonomi, jumlah penduduk, dan harga gas, sementara output yang dicari adalah kon-sumsi gas bumi. Dari hasil prediksi didapatkan tingkat akurasi 99.203% dan MAPE sebesar 1.2855 %. Sehingga dapat disimpulkan bahwa ANFIS dapat digunakan sebagai metode proyeksi kebutuhan konsumsi gas bumi Indonesia.

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

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

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.

Pemanfaatan Digital Marketing Untuk Optimalisasi Pemasaran Produk UMKM Di Masa Pandemi Covid-19 (Desa Gesang Kecamatan Tempeh Kabupaten Lumajang) Dita Indah Puspitasari; Hadziqul Abror
PEKAT: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2022): April
Publisher : Puslitbang Sinergis Asa Professional

Marketing is one of the activities to maintain the continuity of a business, aiming to develop the business that is run and obtain a profit from the sales. Online media marketing or commonly called digital marketing can be said as a solution for running a promising business today, especially during the covid 19 pandemic. This service activity was carried out for MSME cake production in Gesang village- Lumajang with the theme "Program for Entrepreneurial Empowerment of Community Affected by Covid -19". The purpose of this activity is to improve product quality and also optimize online marketing, so that it is hoped that MSMEs can adapt during this pandemic and continue to grow in the future. The activity is carried out with the preparation stage in the form of observing problems and potentials, as well as the implementation stage in the form of problem solving stages and conducting online marketing training. The results of online marketing can increase visits on social media from 31 to 50. Sales in August increased every week, namely 14; 13; 20; and 30 pieces were sold. Digital marketing has proven to be able to optimize marketing.

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

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%.

Evaluasi Jaringan Pipa Minyak Lepas Pantai Guna Optimasi Produksi Area "WK-1" Lapangan "R" Alfan Khoirul Umam; Hadziqul Abror; Riska Laksmita Sari
Zona Laut : Jurnal Inovasi Sains Dan Teknologi Kelautan Volume 4, Nomor 3, Edisi November 2023
Publisher : Departemen Teknik Kelautan Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/zl.v4i3.27972

Field "R" is an old field located in the South East Sumatra Block. The pipeline network in Area "WK-1" in field "R" has 8 platforms namely the Rama-B, Rama-D, Rama-I, S.W. Wanda-A, Wanda-A, N. Wanda-A, Gita-A, and Rama-C. There are 31 producing wells through the 8 platforms. The purpose of this research is to create a piping network model for Area "WK-1" Field "R", identify optimal or non-optimal conditions for pipelines through simulation results and matching on the pipeline network model, identify whether bottlenecking problems occur in the piping network Area "WK-1" Field "R" using the matching results on the piping network model so that the location of pipes and nodes with fluid problems can be found precisely, and carry out production optimization simulations to increase production rates oil in Area "WK-1" Field "R". Production well modeling and pipeline network modeling using a multiphase steady-state production simulator application, the models that have been made will be validated matching against actual conditions. From the results of matching the pipe network model, an analysis of pipe problems that can occur such as bottlenecks is carried out. From the network simulation results, it can be seen that there is bottlenecking on the pipeline in Area "WK-1" Field "R". This is due to the condition of the pipeline network which has been operating for quite a long time since 1974. From the simulation results, there are 2 optimization scenarios, the production capacity of each well can still be increased and the total rate of oil production increases. In the first scenario, the Bean Size setting on the Choke is 48.92 BOPD with an average increase of 1.55%. Whereas in the second scenario, by opening the pressure limits at the wellhead points, the yield is 583.25 BOPD with an average increase of 16.13%.

KKN UNEJ KEMBANGKAN INOVASI WARGA MELAWAN COVID-19 DENGAN PRINSIP IMPROVISE, ADAPT, OVERCOME Prakoso, Arthur Hariyanto; Abror, Hadziqul
ADIMAS Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2022): September
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/adi.v6i2.2939

Pandemi COVID-19 menjadi salah satu masalah besar dunia, termasuk di Indonesia. Banyak kasus positif terinfeksi hingga meninggal dunia terjadi di Indonesia. Hal tersebut tidak lepas dari rendahnya kepatuhan warga. Pembatasan sosial dan anjuran wajib mengenakan masker telah digalakkan, tetapi kurang efektif dalam realisasinya. Upaya yang bisa dilakukan untuk menurunkan tingginya kasus adalah mengubah persepsi masyarakat untuk lebih mementingkan kesehatan pribadi dan kelompok. Salah satu upaya yang bisa dilakukan secara mandiri adalah meningkatkan imunitas tubuh. Imunitas yang kuat dapat menghindarkan pribadi dari berbagai macam infeksi. Rimpang, sayur, dan buah dikenal ilmiah sebagai sumber makanan pengontrol dan peningkat imunitas. Kebiasaan konsumsi pangan tersebut dapat menjadi peningkat imun alami. Mengetahui manfaat tersebut, inovasi rimpang, sayur, dan buah berprinsip improvise, adapt, dan overcome digalakkan kepada masyarakat Lingkungan Tegalrejo, Kelurahan Jember Lor, Jember, Jawa Timur lewat undangan kepada ibu – ibu yang berdomisili asli. Masyarakat tersebut telah mengenal berbagai macam sayur dan rimpang, tetapi lebih memilih konsumsi daging dan produk hewani lain. Produk inovasi yang digalakkan seperti “golden milk” berasal dari potensi sekitar dengan bahan - bahan yang mudah didapat dan dikenali. Hal tersebut dibuktikan dengan adanya toko sayur dan rimpang di Lingkungan Tegalrejo sehingga inovasi juga menguntungkan banyak pihak. Dengan adanya pemanfaatan maksimal yang dilakukan, diharapkan kondisi imunitas kelompok tercapai dan memutus rantai penyebaran COVID-19. Program imunitas kelompok yang digalakkan direspon baik oleh warga. Selain cara adaptasi yang mudah dan sederhana, persepsi masyarakat seputar COVID-19 berubah.

Co-Authors Ababil, Pijar Fitrah Afif, Nanda Najih Habibil Agus Triono Alfan Khoirul Umam Ali Abilawa, Muhammad Anggraini, Dite Mareta Arifiani, Devita Aulia Putri Ifanda, Syafira Ayu Wandari, Fiona Benny Gunawan Berliana Dewi, Salsabila Canuri, Margrita Felania Defvara, Muhammad Farel Desyana Nindya Prastiwi Devfara, Muhammad Farel Dita Indah Puspitasari Edward Hamid Muhammad Eriska Eklezia Dwi Saputri Eriska Saputri Fakhri Maulana, Surya Farras, Ananda Fauzi Ahmad Muda Firman Sabila Fitriani, Dewi Nur Haeruddin Haeruddin Hafwandi, Babas samudera Henny Dwi Bhakti Henny Dwi Bhakti Herawati, Naila Nadda Hermawan, Bagus Danial Iffah Nazihah, Annisa’ Ikhrom, Annisa Irvan Saputra Izzati, Fifi Lestari, Nila Khoirul Tria Lilo Al Fiqriansyah Maulana, Nadhif Maulana, Nor Pamungkas, Wisnu Jalu Permana, Krisma Wanagisra Indah Phasya, Fauji Islami Prakoso, Arthur Hariyanto Ramadhan, Mukhammad Rizqi Riska Laksmita Sari Romadhoni, Devita Rosa, Adhysti Della S, Cindy Elga Sabila, Firman Sauqi Nur Saputra, Irvan Sari, Dwi Astitie Indah Sartika Purwandari Siregar, Naomi Savannah Tristan Prana Raya, Guntur W, Stevie Menno Kristi Wahyu Wibowo, Haryo Welayaturromadhona Wulansari, Nanda Zahiroh, Luluk Lailatul ‘Azizi, Ahmad Muhajir

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