Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

15.91

P-Index

This Author published in this journals

Arnawan Hasibuan

Universitas Malikussaleh

Author-ID : 1199406

Religion 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 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 141 Documents Claim Missing Document

Claim Missing Document

Articles

9 10 11 12 13

Evaluasi Risiko Keamanan Informasi Aplikasi BYOND Berdasarkan ISO 9126, 31000, dan 27001 sanjani, lihan; rozakira zulfa; nisa nurkhaira; arnawan hasibuan; rizky putra fhonna
Portal Riset dan Inovasi Sistem Perangkat Lunak Vol. 2 No. 2 (2024): Artikel Penelitian
Publisher : SoraTekno Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59696/prinsip.v2i2.138

Transformasi digital dalam sektor perbankan syariah mendorong Bank Syariah Indonesia (BSI) meluncurkan aplikasi BYOND sebagai platform superapp berbasis mobile. Sejak diluncurkan akhir tahun 2024, BYOND menangani sejumlah permasalahan teknis seperti kegagalan transaksi, sistem tidak responsif, dan berbagai isu keamanan informasi. Kondisi tersebut menimbulkan kekhawatiran atas kualitas layanan serta menurunkan tingkat kepercayaan pengguna. Penelitian ini bertujuan untuk menyalakan kualitas sistem BYOND berdasarkan ISO/IEC 9126, identifikasi dan penilaian risiko keamanan menggunakan ISO 31000, serta menyusun strategi mitigasi berdasarkan kontrol keamanan dari ISO/IEC 27001:2022 Annex A. Penelitian menggunakan pendekatan deskriptif kualitatif melalui metode studi kasus dengan data yang diperoleh dari observasi, pengguna, ulasan Google Play Store, serta dokumentasi insiden sistem. Hasil penelitian menunjukkan bahwa aspek usability, reliabilitas, dan efisiensi menjadi dimensi kualitas yang paling lemah menurut standar ISO 9126. Selain itu, dari total 50 risiko yang diidentifikasi, terdapat 20 risiko dengan tingkat keparahan tinggi, seperti kebocoran data dan kegagalan autentikasi. Karena keterbatasan ruang, tabel risiko secara lengkap tidak dapat dicantumkan, namun inti temuan dan rekomendasi penanganan disajikan secara naratif. Strategi mitigasi yang disarankan mencakup pengendalian akses, deteksi anomali sistem, serta kebijakan pemulihan bencana berbasis ISO 27001. Penelitian ini menunjukkan petingnya evaluasi integrasi kualitas sistem dan manajemen risiko keamanan informasi sebagai dasar peningkatan ketahanan digital. Implikasi penelitian ini membuka ruang bagi sistem pengembangan yang lebih tangguh secara fungsional dan keamanan digital. Studi lanjutan disarankan untuk melibatkan uji teknis sistem backend dan audit siber agar hasil evaluasi menjadi lebih komprehensif.

DESIGN AND SIMULATION OF A ROOFTOP PV SOLAR POWER SYSTEM FOR THE TRAINING ROOM AT PT. PUPUK ISKANDAR MUDA – ACEH Marzuki; Kartika; Misbahul Jannah; Asran; Arnawan Hasibuan; Misriana; Mulyadi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i4.3897

This study presents the design and simulation of an on-grid photovoltaic (PV) solar power system for the training room at PT. Pupuk Iskandar Muda (PT. PIM), located in North Aceh, Indonesia. As part of Indonesia’s renewable energy goals, this research explores the potential of rooftop solar installations in supporting the country's energy transition. Using the PVSyst simulation software, the study assesses the technical and economic feasibility of deploying a solar power system tailored to the building’s electricity demands and solar radiation characteristics. The design incorporates monocrystalline and polycrystalline solar panels, and system configurations are optimized based on factors such as panel capacity, inverter specifications, and site-specific conditions. The results indicate that a 2 kWp system can generate up to 2.91 MWh annually, with a performance ratio (PR) of 81.15%, demonstrating the system’s feasibility for sustainable energy use. The findings contribute to understanding the practical applications of rooftop solar power in educational and industrial sectors, providing insights into the potential for broader adoption across similar contexts in Indonesia.

Penerapan Metode Logistic Regression dalam Sistem Prediksi Risiko Stunting Anak Berbasis Web Rozakira Zulfa; Fadli Mahyudin; Arnawan Hasibuan
IJAI (Indonesian Journal of Applied Informatics) Vol 10, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v10i1.106164

Abstrak : Stunting merupakan masalah gizi kronis yang berdampak signifikan terhadap pertumbuhan dan perkembangan anak, khususnya pada periode 1000 hari pertama kehidupan. Penelitian ini mengembangkan sistem berbasis web untuk memprediksi risiko stunting pada anak menggunakan metode Logistic Regression. Dataset mencakup fitur seperti jenis kelamin, usia, berat dan panjang lahir, berat badan, panjang badan, serta status konsumsi ASI. Data diproses melalui tahapan cleaning dan preprocessing sebelum pelatihan model. Logistic Regression dipilih karena kemampuannya melakukan klasifikasi biner, yaitu stunting atau tidak. Penilaian model dilakukan dengan memanfaatkan metrik accuracy, precision, recall, dan AUC. Hasil eksperimen menunjukkan model mencapai accuracy 69,9%, precision 78,4%, recall 85,4%, dan AUC 0,94, sehingga dapat digunakan sebagai alat bantu untuk deteksi dini stunting. Sistem berbasis web ini memudahkan akses bagi tenaga kesehatan dan orang tua untuk memantau status gizi anak dan memberikan rekomendasi intervensi yang tepat. Temuan ini menunjukkan bahwa penerapan Logistic Regression efektif dalam mendukung pencegahan stunting secara lebih terarah.================================================Abstract : Stunting is a chronic nutritional problem that significantly affects children's growth and development, particularly during the first 1,000 days of life. This study develops a web-based system to predict the risk of stunting in children using the Logistic Regression method. The dataset includes features such as gender, age, birth weight and length, body weight and length, and breastfeeding status. The data were processed through cleaning and preprocessing stages before model training. Logistic Regression was chosen for its ability to perform binary classification, i.e., stunted or not stunted. The model was evaluated using accuracy, precision, recall, and AUC metrics. Experimental results show that the model achieved accuracy of 69.9%, precision of 78.4%, recall of 85.4%, and AUC of 0.94, indicating its potential as a tool for early detection of stunting. This web-based system facilitates access for healthcare workers and parents to monitor children's nutritional status and provide appropriate intervention recommendations. The findings demonstrate that Logistic Regression is effective in supporting more targeted stunting prevention efforts.

Utilization of Augmented Reality in Conservation Folklore Riezka Maghfirah; Naiza Ferona; M Fitra Waldi; Alfin Syatriawan; Arnawan Hasibuan
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Folklore is a national cultural heritage that still has values that should be developed and utilized for present and future life. Previously, folk tales were spread by word of mouth until finally the stories were known to many people, therefore folk tales were included in oral literature. In folklore there are many life messages that can be implemented in everyday life in order to become a better human being. However, it is a shame that folklore now sounds foreign to society, especially among children and teenagers. Seeing this problem, researchers offer a solution that can restore people's interest, especially teenagers and children, in folklore. By incorporating today's technology into folklore, it will help attract people's interest, especially teenagers and children, to return to reading folklore. Augmented Reality is a technology that can integrate computer objects, both two-dimensional and three-dimensional, into a real environment. This research uses a quantitative approach. Data collection was carried out through pretest and posttest in the form of multiple choice questions with four answer choices. Augmented reality can not only be a medium for increasing knowledge of folklore, but it can also be a medium for increasing students' sense of wanting to preserve folklore.

Enhancing Adaptive Overcurrent Protection in Multi-Loop Distribution Networks with Distributed Generation Using Genetic Algorithms Arnawan Hasibuan; Fahrian Roid; Armen Abta; Misbahul Jannah; Dedi Fariadi; Fakhruddin Ahmad Nasution
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Electrical energy is something that everyone needs. The increase in the use of electrical energy will increase the transmission and distribution system of electrical energy, so the electrical energy distribution system must be more reliable. Adding Distributed Generation (DG) to the distribution system can improve reliability and power quality issues. To overcome the influence of DG, a new optimization setting is needed to account for the presence of Distributed Generation. This study aims to simulate a protection system with the right relay operation time to minimize the impact of interference and apply the Genetic Algorithm method in the relay coordination setting on a multi-loop distribution network with Distributed Generation. In this study, the development will be carried out using the IEEE 9-Bus multiloop plant distribution system with the application of Distributed Generation using a Genetic Algorithm. The method in this study begins with creating a single-line diagram on ETAP, followed by the placement and determination of forward and reverse relays. Furthermore, the steps include dividing and determining loops I, II, and III for the Isc generation value in each loop. The optimization process using the Genetic Algorithm can be carried out after the Isc value of each loop is obtained. After reaching the maximum iteration value, the TDS and Ipickup values result from optimization. The value is then converted into a time domain. The genetic algorithm results with a maximum iteration value of 1500 show that the protection system coordinates more optimally and efficiently, as reviewed from the cut-off sequence and time delay value in the event of a disturbance. The total time delay value in the Genetic Algorithm calculation is 3.6027 seconds. The minimum total time delay value is the more optimal the protection system coordinates.

Potential Planning for Micro Hydro Power Plants (PLTMH) by Utilizing River Flows in Kab. Gayo Lues Arnawan Hasibuan; Kasman; Herman Fithra; Alpaslan DURMUŞ; Rizky Almunadiansyah; Widyana Verawaty Siregar
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

The abstract should be clear, concise, descriptive and should provide a brief introduction to the problem. A statement: Electricity is a necessity that plays an important role in human life. So, the potential plan for Persada Tongra village is to build an environmentally friendly power plant that includes renewable energy. Terangun district, Gayo Lues Regency, has the potential of a river that can be used as a micro-hydro power plant (PLTMH) source. The purpose of this research is to find out how big the potential of water to generate electrical energy is in the river in Persada Tongra Village. The method used in calculating the water discharge in the river flow uses the floating method, and measurements are made using a stopwatch. Based on the measurement results at the location, it produces water potential with a maximum discharge of 1.16 m3/s, a total height of 1.47 m, and the highest generated power is 16.71 kW. It is hoped that the results of this study can later be used as an energy source where this energy source can be used to generate electricity in the Gayo Lues district.

Power Quality Analysis of a 20kV Primary Distribution Line Using ETAP Power Station 12.6.0 at Sidikalang Substation Arnawan Hasibuan; Rizki Yaldi; Muchlis Abdul Muthalib; Muhammad; Dedi Fariadi
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

The rapid economic growth and population increase in Indonesia have significantly raised the demand for electrical energy. The electricity distribution system, having the highest rate of disruptions among power system components, has become the primary focus for improvement efforts. This study aims to evaluate the quality of electricity distribution lines at the Sidikalang Substation using ETAP Power Station 12.6.0. The analysis is crucial for understanding power usage efficiency, identifying potential disturbances, and evaluating distribution system performance. The main challenge lies in effectively evaluating distribution line quality, involving the monitoring of critical parameters such as voltage, current, and power factor. Utilizing ETAP Power Station 12.6.0 enables in-depth analysis, aids decision-making, and facilitates future planning. This research draws upon scientific literature and industry guidelines to provide a strong theoretical foundation. The study's findings are expected to contribute to enhancing the quality and reliability of electricity distribution systems in Indonesia, thereby supporting the nation's sustainable development goals in the energy sector.

Analysis of calculating the fault current on the generator In Power System Arnawan Hasibuan; Novra; Zulhiz Tami; Marya Ulfa; Alpaslan DURMUS
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Short circuit fault current in the electric power system is one of the problems that can threaten the reliability and safety of system operations. This disturbance, which occurs due to direct contact between phases or between phases and ground, produces significant currents and can damage network equipment if not handled with adequate protection. This study aims to analyze and calculate short circuit fault currents in the electric power system using MATLAB and Simulink software . In this study, the electric power system model is simulated with various types of disturbances, namely three- phase , two -phase , and single -phase to ground disturbances , to determine the system response and the magnitude of the current that occurs. Power system parameter data such as voltage, component impedance, and load conditions are used as input in the modeling. The “ Three-Phase” block Fault ” in Simulink is used to implement a fault at a specific point in the system. The simulation results show that the magnitude of the fault current varies depending on the type of fault and the line impedance. With this analysis, system designers can determine the appropriate protection equipment, such as circuit breakers and relays , to prevent damage and maintain the stability of system operation. This study demonstrates the effectiveness of MATLAB as a simulation tool in power system fault analysis, providing practical and accurate solutions in fault current calculations.

Type Design of Control System in Hydroponic Plants Based on Arduino Uno Arnawan Hasibuan; Rita Sovianto; Ezwarsyah; Asri; Taufiq; M. Sayuti
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

The decreasing availability of agricultural land due to urbanization threatens farmers' income and agricultural sustainability. Hydroponic cultivation offers a solution by maximizing limited land, especially in urban areas. However, challenges in managing nutrients and watering systems remain a key research focus to enhance hydroponic efficiency and support environmental sustainability and food security. This research aims to control water flow, watering, and nutrition based on a schedule regulated by the RTC DS3231 and to manage the water volume in the reservoir using the HC-SR04 sensor. Based on data analysis and testing, it is concluded that the system operates effectively, regulating water flow from 08:00 to 17:00 at a flow rate of 0.001464 m³/s, watering pests at 09:00 and 17:00 for 5 minutes at a flow rate of 0.0016 m³/s, providing nutrients every three days at noon for 2 minutes at a flow rate of 0.0007917 m³/s, and managing water volume in the reservoir between a minimum of 92% and a maximum of 97%, with a total capacity of 5,214 liters. This system works well, allowing the owner/farmer to only monitor the hydroponic plants.

Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Khairul Fuadi; Taufiq Taufiq; Arnawan Hasibuan; Dahlan Abdullah; Nurdin Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.

Co-Authors . Syafrudin Abdul Rahim, Siti Rafidah Abdul Rozak Abdullah A. Z Abdullah Zainuddin Abta, Armen Abubakar Dabet Adi Setiawan Afrizal, Ari Agung Budi Muljono Ahmad Maulana Kamal Ahmad Sandi Yayan Saputra Ahmada Qodri Ainal Mardhiah Ajuirai Ajuirai Akbar, Farhan Al-Ani, Waleed Khalid Ahmed Aldi Aryanugraha Mahendra Aldio Reza, Rahmanda Alfin Syatriawan Alpaslan DURMUŞ Amalia, Syifa Amrina Rosyada Ananda Agustian Andian, Andian Andik Bintoro Andiko, Benny Anggi Chairani Ardan, M. Ardy Ardian Ardian Ardiansyah Nasution Ari Afrizal Ari Nrartha Armen Abta AS, Nasruddin Ashari Zaini Hasibuan Asran Asran Asran, Asran Asri Asri Azman Azman AZMI, AZMI Azzanna, Maghriza Badriana, Badriana Baidhawi Baidhawi Baidhawi, B Bhunte, Shrikant Vasantrao Bunga Luthfia Fahmi Catra Indra Cahyadi Cindeni Puspasari Cindenia Puspasari Dahlan Abdullah Deassy Siska Dedi Fariadi Desky, Muhammad Aulia Desti Sucipto, Fentisari Dewi Maya Sari Dewi Sartika Tambunan Dheo Pratama Dupli, Dupli Dwiputra, Muhammad Farhan Dy Ilham Ediwan Ediwan Elvy Sahnur Nasution Erwin Syahputra Ezwarsyah Ezwarsyah Fadhilati, Nyak Intan Fadli Mahyudin Fadlisyah Fadlisyah Fahrian Roid Fahrian Roid Faisal Faisal Faizar Abdurrahman Fajar Syahbakti Lukman Fajar Syahbakti Lukman Fajar Syahbakti Lukman Fajar Syahbakti Lukman Fajar Syahbakti Lukman Fakhruddin Ahmad Nasution Farizi, Reza Al Ferdy Hidayatullah Ferona, Naiza Fidyatun Nisa Firwan Dani Fitra, M Gandi Supriadi Gard, Muskan Gulschen Kerimzade Habib Muharry Yusdartono Hafidzuddin, Muhammad Hamdani Hamida Azzahro, Hasna Hardi, Surya Hasibuan, Ashari Zaini Hasibuan, Fairuz Raihanah Hasibuan, Muhammad Rafif Fadlurrahman Hendri Cahyadi Hendrival, H Heri Priagusno Herman Fithra Hidayatullah, Ferdy Hilmi Hilmi Hilmi Husaini Husni Mubarak Hutagalung, Rizki Shobirin I Made Ari Nrartha I Made Ari Nratha I Made Ginarsa Ichsan Ichsan Idaryani Idaryani Ikhsan Fahri Ilham Kurnia Nasution Indra Nisja Indra Praditya Ira Devi Sara Irfansyah, Dedi Isa, Muzamir Ismi Raihan Jintaka, Dhandis Rito Kamal, Ahmad Maulana Kartika Kartika Kasman Kerimzade G.S Kerimzade G.S Kerimzade, Gulschen Khaidar, Al Khairul Fuadi Kurniawan, Dicky Kuswoyo, Muhammad Riko Lapara, Muhammad Ilham Lihan Sanjani Lukman, Fajar Syahbakti M Bayu Wibawa M Fitra Waldi M Mursalin M Sayuti M. Bayu Wibawa M. Fathan Naqi M. Rifai M. Sayuti Maghfirah, Riezka Maharani, Citra Putri Maizuar, M Mariyudi Mariyudi Mariyudi, M Marya Ulfa Marzuki Marzuki Meidina Putri, Mifta Meutia, Rizka Dwi Mirza Maulana Misbahul Jannah Misbahul Jannah Misriana Misriana Misriana Mohd Irwan Yusoff Mohd Irwan Yusoff Muchlis Abdul Muthalib Muhammad Muhammad Daud Muhammad Fikry Muhammad Fitra Zambak Muhammad Hanafi Sahar Lubis muhammad ilham manishe Muhammad Rafif Fadhlurrahman Hasibuan Muhammad Sayuti Muhammad Syakirman Muhammad Yani, Muhammad Muhammad Yusril Zulfikar Muhammad, M Muhammad, Muhammad Mulyadi Munirul Ula Muskan Gard Mutammimul Ula Muthmainnah Muthmainnah Muzair Isa Muzamir Isa Muzamir Isa Muzamir Isa Muzamir Isa Muzamir Isa Muzamir Isa Nababan, Sabar Nadia Nurfadila Naiza Ferona Nasruddin AS Nasution, Ardiansyah Nasution, Elvy Sahnur Nasution, Ilham Kurnia nisa nurkhaira Nisa Nurkhaira Novianty, Vivi Novra Nugroho, Septian Ilham Nur Laela Munawaroh Nura Usrina Nurdin Nurdin Nurdin Nurfebruary, Nanda Sitti Nursan Junita, Nursan Nurul Islami, Nurul Nuryawan, Nuryawan Nyak Intan Fadhilati Nyak Qurratu Aini Panji Aji Riha Wijayanto Prastia, Ramadhan Qausar, Muhammad Qurratu Aini, Nyak Rafif, Muhammad Rahmad Rahmad Rahmat Andria Rahmatin Nisak Raihan Putri Raihan, Ismi Ratri Candrasari, Ratri Ravi Andika Pramulya Razif, Razif Renno Kamal Putra Reza Al Farizi Rian Apriansyah Riezka Maghfirah Rifqy Azka R Rio Setiawan Rita Sovianto Rizki Julia Utama Rizki Julia Utama Rizki Shobirin H Rizki Suwanda Rizki Yaldi Rizky Almunadiansyah Rizky Almunadiyansyah Rizky Putra Fhonna Rizqan Fachroji Rizqan Fachroji Robi Kurniawan Robi Kurniawan Rofandy, Muhammad Yudha Rohana Ismail Roid, Fahrian Rony, Zahara Tussoleha Rosdiana Rosdiana Rosdiana Rosdiana rozakira zulfa Rozakira Zulfa Rozzi Kesuma Dinata Rusadi, Athirah Safina, Putri Anjali Safura Rusydi Sahal Mahfudz Said Fadlan Anshari Saifannur Saifannur Salahuddin Salahuddin Salshabila Putri Sanatra, Dedi sanjani, lihan Sapto Nisworo Sapto Nisworo Saputra, Ahmad Sandi Yayan Sartika Yanti Sastra Wijaya, Reza Satriawan, Ivan Sayuti, Muhammad Selamat Meliala Sembiring, Rizky Ramadhana Sendi Pria Ardana Shrikant Vasantrao Bhunte Silvia Silvia Siregar, Aria Maigawa Siregar, Widyana Verawaty Siregar, Wiedyana Verawaty Siti Rafidah Abdul Rahim Sofyan Arianto Suhendra Suhendra Suhendra Suhendra Sukarwoto, Sukarwoto Sultan Sultan Supriono Supriono Supriono Supriono Surya Hardi, Surya Suryati Suryati Syafii . Syarifah Muthia Putri Syatriawan, Alfin Tajuk Tangke Nate Taneza, Erlan Tangke nate, Tajuk Taufiq Taufiq Taufiq Teuku Multazam Tibyan Asyukri Verawaty Siregar, Widyana Waldi, M. Fitra Waldi, Muhammad Fitra Waleed Khalid Ahmed Al-Ani Widyana Verawaty Siregar Widyana Verawaty Siregar Yoga Tri Nugraha Yundari, Yundari Zahiri, Muhtadi Zainuddin Ginting Zara Yunizar Zulfadli Pelawi Zulhiz Tami Zulnazri, Z

Title

Found 141 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 141 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 141 Documents
Search