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All Journal Jurnal Sinergi Jurnal Akuntansi & Auditing Indonesia Jurnal Teknik ITS e-Jurnal Kewirausahaan Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Ilmiah KOMPUTASI Jurnal Mirai Management Syntax Literate: Jurnal Ilmiah Indonesia Laga-Laga: Jurnal Seni Pertunjukan JURNAL UNIZAR LAW REVIEW Jurnal Pengabdian Magister Pendidikan IPA Jurnal Agregasi Jurnal Jatiswara Jurnal Linguistik Komputasional PERENNIAL JMB : Jurnal Manajemen dan Bisnis Buletin LOUPE (Laporan Umum Penelitian) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Fakultas Ilmu Keislaman UNISA Kuningan Islamika Granada Equity: Jurnal Akuntansi Multica Science and Technology Journal Physical Health Recreation (JPHR) Abdimas Awang Long: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Risalah Kenotariatan EKONOMIKA45 Jurnal Akuntansi dan Keuangan Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Dunia Pendidikan INFORMATIKA Bandung Conference Series: Business and Management Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Indonesia Sosial Teknologi Journal of Economic Education and Entrepreneurship Studies Lingkar : Journal of Environmental Engineering Riset Ilmu Manajemen Bisnis dan Akuntansi COCOS The International Science of Health Journal Jurnal Ekonomi dan Bisnis IJES : Indonesian Journal of Environmental Sustainability. LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Multidisciplinary Indonesian Center Journal JURNAL PENGABDIAN KEPADA MASYARAKAT UNISA KUNINGAN
Arief Rahman
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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ANALYSIS OF INFORMATION SYSTEM MODERNIZATION IN IMPROVING INDIVIDUAL TAXPAYER COMPLIANCE AT KPP PRATAMA SUKOMANUNGGAL SURABAYA Ayu Praditias Sumono Putri; Arief Rahman; Ali Muhdor; Fitriyah Kusuma Devi
Jurnal Ekonomi Dan Bisnis Vol 19 No 1 (2025): JEB Vol 19 No 1 Maret 2025
Publisher : LPPM STIE YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53916/jeb.v19i1.101

Abstract

The Directorate General of Taxes is carrying out new innovations in the field of taxation, namely by utilizing information technology, resulting in the launch of computer taxation systems such as modernization, e-filing to make it easier for taxpayers to report annual tax returns. This research aims to evaluate the impact of implementing modernization of the tax system, especially the e-filing feature, on increasing individual taxpayer compliance at KPP Pratama Sukomanunggal Surabaya. Using a descriptive qualitative approach, this research collects data through interviews, observation and documentation. The research results show that modernization of the tax system, especially e-filing facilities, has made a significant contribution to increasing taxpayer compliance in submitting Annual Tax Returns (SPT). Ease of access, time efficiency and accuracy of data produced by the e-filing system are the main factors driving increased compliance.
Analysis of Brondolan Fruit Loss in Palm Oil Harvesting Activities in the Case Study of Sentekan Estate PT Rea Kaltim Plantations Sukariyan; Arief Rahman; Rossy Mirasari; Pandu Rochman Suosa Putra; Dea Ayu Rahmadini
Jurnal Loupe Vol 20 No 01 (2024): June 2024
Publisher : Jurusan Pertanian Politeknik Pertanian Negeri Samarinda Kampus Sei Keledang Jalan Samratulangi, Kotak Pos 192 Samarinda 75123

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/buletinloupe.v20i01.3083

Abstract

Brondolan is an oil palm fruit that is separated from spikelets because it is too ripe during harvesting activities. Apart from that, brondolan is part of the fresh fruit bunch which produces maximum quality Crude Palm Oil (CPO). The aim of this research is to analyze losses from harvesting activities in the form of oil palm fruit stalks. The research method is to carry out quantitative and descriptive analysis. Loss of brondolan fruit during palm oil harvesting activities from the research sample was 10% of the sample block area in the disk area, pickle market area and yield collection area (TPH), amounting to 16,946 Kg/month of the total Kg/division oil palm fruit production. This occurs because the fruit is abandoned or left behind as a result of weak supervision and poor maintenance or maintenance activities in the plate area, pickle market area and TPH area which are not controlled by the growth of weeds, kentosan, this has an impact on the potential loss of 3,2% of total TBS production in the division.
SEKULARISME PROSES PENYUSUNAN ANGGARAN BERBASIS PARTISIPATIF DALAM PERSPEKTIF ISLAM Arief Rahman
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 4 No. 1 (2016): Desember: Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.365 KB) | DOI: 10.30640/ekonomika45.v4i1.52

Abstract

The purpose of this paper is to explain the mechanism of the budget process are subjected to various distortions that lead to secularization in the budgeting process that impact on the neglect of the interests of society. It will also offer the concept of budgeting from an Islamic perspective. This perspective is used to provide another alternative in compiling the budget that focuses on transparency and participation in the budget in favor of the interests of the community with the Islamic perspective.
COD REMOVAL PERFORMANCE USING COMBINATION OF SPENT COFFEE GROUNDS ACTIVATED CARBON AND RIVER SAND AS FILTRATION MEDIA IN TOFU INDUSTRIAL WASTEWATER Arief Rahman; Mulyadi Abdul Wahid; Sapriyadi
Indonesian Journal of Environmental Sustainability Vol. 3 No. 1 (2025): June 2025
Publisher : Center for Environmental Studies, Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ijes.v3i1.7663

Abstract

Tofu industrial wastewater contains a high level of chemical oxygen demand (COD), which may cause negative impacts if not treated before being discharged into the environment. Filtration is one of the simple and effective methods for COD removal in tofu industrial wastewater, utilizing filtration media such as sand and activated carbon. The objective of this research is to evaluate the performance of spent coffee grounds (SCG) activated carbon and river sand as filtration media in COD removal from tofu industrial wastewater. The research was carried out using a dual media filtration unit composed of SCG activated carbon and river sand, with media thicknesses of 15 cm and 30 cm, respectively. The results show that the combination of SCG activated carbon and river sand as filtration media can reduce the COD level in tofu industrial wastewater from 928 mg/L to 307 mg/L (66.92%), although it still does not meet the quality standard (300 mg/L). Based on the findings, it can be concluded that the combination of SCG activated carbon and river sand has the potential to lower COD levels in tofu industrial wastewater, but further improvement is required to enhance its effectiveness.
Analisis Kelayakan Model K-Nearest Neighbor dalam Penentuan Klasifikasi Guru berprestasi Irma Yurni; Arief Rahman; Angga Pratama
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 1 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v9i1.22131

Abstract

Model K-Nearest Neighbor menunjukkan potensi yang kuat dalam klasifikasi guru berprestasi, dengan beberapa pertimbangan penting terkait pemilihan atribut, metode pengukuran jarak, dan strategi pengolahan data besar. efektivitas KNN juga dapat dikuatkan dengan analisis jarak yang digunakan dalam pengklasifikasian dalam melihat prestasi guru terbaik di sekolah. Dalam analisis kelayakan model KNN untuk klasifikasi guru berprestasi. Penentuan guru terbaik harus dilakukan secara objektif dan komprehensif, menggabungkan penilaian terhadap motivasi, dedikasi, loyalitas, dan profesionalisme, terutama dalam era teknologi 4.0. Namun, selama ini penilaian yang dilakukan kepala sekolah cenderung subyektif dan berdasarkan pengamatan sendiri, sehingga tidak optimal. Untuk mengatasi masalah ini, dibangun sebuah sistem pendukung keputusan berbasis metode K-Nearest Neighbor (K-NN) yang membantu proses penilaian guru secara lebih akurat dan objektif. Dengan menggunakan metode K-Nearest Neighbor (KNN), sistem ini dirancang untuk membantu menentukan kelolosan sertifikasi guru secara objektif dan efisien berdasarkan parameter seperti masa kerja, usia, golongan, beban kerja, tugas tambahan, dan prestasi. Hasil penelitian ini menunjukkan penilaian prestasi guru, terutama ketika data yang tersedia cukup lengkap dan representatif, sehingga dapat membantu pengambilan keputusan secara objektif dan sistematis. Sistem ini diharapkan dapat meningkatkan keadilan dan efisiensi dalam menentukan guru yang berpotensi terbaik. hasil analisis dari model klasifikasi KNN ini diharapkan dapat mengatasi permasalahan ketidakadilan dan mempercepat proses pengambilan keputusan sertifikasi guru secara otomatis.
PERAMALAN SUHU UDARA MENGGUNAKAN ALGORITMA LONG SHORT TERM MEMORY Yulian Ansori; Arief Rahman; Febriyanti Darnis; Miftahus Sholihin
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 5 No. 1 (2025): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v5i1.1033

Abstract

This study presents an air temperature forecasting model employing the Long Short-Term Memory (LSTM) algorithm to address the challenges posed by climate variability and extreme weather conditions. Historical daily temperature data from NASA POWER—collected between January 1, 2014, and December 31, 2024, in Serang City (totaling 4,018 records)—were used. The data were normalized using a min–max scaling technique and divided into training (70%) and testing (30%) sets. Multiple experimental scenarios were run by varying the number of training epochs and the hidden layer unit counts. The optimal configuration was achieved in Scenario 7, which incorporated two hidden layers, each with 50 units, and employed 30 epochs; this setup yielded a prediction accuracy of 98.4% with a Root Mean Squared Error (RMSE) of 27.11. The results indicate that the LSTM model effectively captures the seasonal variations and long-term trends in air temperature, making it a reliable tool for forecasting and supporting decision-making in climate adaptation strategies. Keywords: Air Temperature Forecasting, Long Short-Term Memory, Deep Learning, Climate Change, Data Normalization.
OPTIMIZATION CALCULATION OF ELECTRICAL SUBMERSIBLE PUMP IN MAA-72 WELL IN X FIELD PT Y Desi Kusrini; Arief Rahman; Adrian Indarti; Muhammad Aqil Al Munawar
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 3 (2025): Vol. 2 No. 3 Edisi Juli 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i3.1004

Abstract

MAA-72 well experienced a decrease in production rate, Pump IND1300 42 hz / pump ROR of 960- 1640 bfpd. Well production is Qgross 599.97 bfpd. The required data obtained are general report electrical submersible pump, reservoir data, fluid properties data, production data and wellprofile data, data obtained directly from the computer in the field. In data processing, the method is to determine the potential analysis of the well, evaluate the installed pump, and optimize the well with a new pump. Optimum results of 1498.55 bfpd, Gf 0.435 Psi/ft, IND1300 pump evaluation, namely PIP 170.37 Psi, TDH 1782.27 ft, PSD 1969.42 ft, number of stages 200 stages, EP 49% and Hp 33.5. Optimization was carried out by replacing the pump. New pump selection DN1800/60 Hz / ROR 1200-2400 bfpd, head/stage 22 ft, Hp 0.34 EP 70%. Determination of new pump PSD 2022.94 ft, PIP 43.5 Psi, TDH 2212.32 ft, number of stages 22 stages. Increase in Qact production rate (599.97 bfpd) to (1498.55 bfpd) with a rate increase of 898.58 bfpd.
OPTIMIZATION CALCULATION OF ELECTRICAL SUBMERSIBLE PUMP IN MAA-72 WELL IN X FIELD PT Y kusrini, Desi kusrini; Adrian Indarti; Muhammad Aqil Al Munawar; Arief Rahman
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 3 (2025): Vol. 2 No. 3 Edisi Juli 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i3.1034

Abstract

MAA-72 well experienced a decrease in production rate, Pump IND1300 42 hz / pump ROR of 960- 1640 bfpd. Well production is Qgross 599.97 bfpd. The required data obtained are general report electrical submersible pump, reservoir data, fluid properties data, production data and wellprofile data, data obtained directly from the computer in the field. In data processing, the method is to determine the potential analysis of the well, evaluate the installed pump, and optimize the well with a new pump. Optimum results of 1498.55 bfpd, Gf 0.435 Psi/ft, IND1300 pump evaluation, namely PIP 170.37 Psi, TDH 1782.27 ft, PSD 1969.42 ft, number of stages 200 stages, EP 49% and Hp 33.5. Optimization was carried out by replacing the pump. New pump selection DN1800/60 Hz / ROR 1200-2400 bfpd, head/stage 22 ft, Hp 0.34 EP 70%. Determination of new pump PSD 2022.94 ft, PIP 43.5 Psi, TDH 2212.32 ft, number of stages 22 stages. Increase in Qact production rate (599.97 bfpd) to (1498.55 bfpd) with a rate increase of 898.58 bfpd.
CHICKEN MANURE AS BIOSTIMULANT FOR TOTAL PETROLEUM HIDROCARBON (TPH) REMOVAL IN OIL CONTAMINATED SOIL Arief Rahman; Mudatstsir, Mudatstsir; Yahya, Husnawati
Lingkar: Journal of Environmental Engineering Vol. 6 No. 1 (2025): LINGKAR : Journal of Environmental Engineering
Publisher : Department of Environmental Engineering (Prodi Teknik Lingkungan), Fakultas Sains dan Teknologi, UIN Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Oil contamination in the soil might cause degradation on the quality of the soil, which becomes a problem for the environment and the organisms in it, especially the plants. The plants will be unable to grow and develop properly in the degraded soil, which will give a severe negative impact to agricultural sector. Biostimulation can be a good solution in solving soil degradation problem, utilizing microorganisms and biostimulant. The objective of this study is to discover the potential of chicken manure as biostimulant for biostimulation process in the removal of total petroleum hidrocarbon (TPH) as one of the main properties in oil contaminant. In this study, the chicken manure as biostimulant were being mixed with the oil contaminated soil (400 gr), with variation of weight; W1= 50; W2= 100; W3= 150; and W4= 200 gr. Biostimulation process were being observed and analyzed every 7 days for 21 days, and being compared with the soil without biostimulant addition (control). The result shown that biostimulation process using chicken manure in this study can remove up to 66.67% of TPH, from 6% of to 2% (W4 for 21 days), but still unable to fulfill the quality standard given, which is 1%. Based on the result of this research, it can be concluded that biostimulation using chicken manure as biostimulant can be utilized to remove TPH from oil contaminated soil, hence still need improvement to perform better.
Analisis Perlakuan Akuntansi Pajak Penghasilan atas Pemberian Fringe Benefits terhadap Laporan Keuangan setelah Berlakunya Undang-Undang Harmonisasi Peraturan Perpajakan Muhammad Syapari; Arief Rahman
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 12 No. 2 (2025): Juni: Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/ekonomika45.v12i2.3122

Abstract

One of the most interesting points in the Harmonization of Tax Regulations Law (UU HPP) is the allowance for the deduction of fringe benefit expenses incurred by employers for tax purposes. Additionally, employees who receive fringe benefits are now subject to income tax, and these benefits can be included in their gross income for the calculation of Article 21 Income Tax. This provision contradicts the previous Income Tax Law, which did not classify in-kind benefits or perks as taxable income for employees. This research aims to understand respondents' understanding of the treatment of fringe benefit expenses under the UU HPP and how tax planning can be implemented to minimize taxable income. A qualitative descriptive approach, using observational methods such as interviews and case studies, will be employed. The research findings are expected to provide input for companies in implementing tax planning for fringe benefits.
Co-Authors . Budiaman Adrian Indarti Agus Khobir Permana Akbar, Moch Malik Akrom, Akrom Ali Muhdor Alwi Fahruzy Nasution Amrulloh, Rifqi Angga Pratama Anindhita Satria Mahendra Ansari Harahap, Dedy Anugrah Dwi Putra Aulia Helmina Putri Aulia Ramadanisti Ayu Praditias Sumono Putri Ayu Purwarianti Budi Winarni Damai Syah Halawa Dea Ayu Rahmadini Desi kusrini Diah Astuti Diman Ade Mulada Diman Ade Mulada Diman Ade Mulada, Diman Ade Ella Suzanna Elmi Nurvianti Epi Supriyani Siregar Erwan Efendi Fatin Nadifa Tarigan Febriyanti Darnis Ferry Herdianto Fitriyah Kusuma Devi Gunawan Wibisono Guntur Adham Syahputra Hendry Setyawans Sutedjo Heny Fitriani Humairo Aziza Humairo Aziza Husnawati Yahya Ika Amalia Imam Syahrobani Irma Yurni Jayen, Fredy Jemmy Najoan Ketut Ayusia Madewi Khairul Fadly Kurnia Nur Widyasari kusrini, Desi kusrini Mahsina Maria G.M. Polii Maria Haryanti Butarbutar Miftahus Sholihin Muchlis Saputra Mudatstsir, Mudatstsir Muhammad Aqil Al Munawar Muhammad Syapari Mulyadi Abdul Wahid Neneng Wahyuni Neni Nuraini Neni Nurhayati Nofridayati Nofridayati Pandu Rochman Suosa Putra Pelita Ramadhaniah Priyo Susilo R Dewi Mutia Farida Ragiel Pangestu Rahmat Novrianda Dasmen Rahmawati Rahmawati Reni Rohidin Rohidin Rossy Mirasari Sahdin Hasibuan Sapriyadi, Wandi Shinta Andriyani Shinta Andriyani Sri Djuniati Sri Ngapiyatun Srilasmawanti Srilasmawanti Sritomo Wignjosoebroto Sukariyan Sumarno Sumarno Supanca Ade Putri Tina Lestari Tuti Tursilah Warto Utomo Wartomo Wiwiek Wahyuningsih Wiwiek Wahyuningsih Yulian Ansori Zahratul Fitri