Article Per Year (5 Year)
p-Index From 2021 - 2026
11.776
P-Index
This Author published in this journals
All Journal Faktor Exacta Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI Building of Informatics, Technology and Science Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Community Development Journal: Jurnal Pengabdian Masyarakat Bulletin of Computer Science Research INFORMATIKA KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business Journal of Research and Publication Innovation LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer
Zakaria, Hadi
Universitas Pamulang
Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 101 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 101 Documents
Search

 4   5   6   7   8 
Implementasi Fuzzy Inference System (FIS) Menggunakan Metode Mamdani Dalam Menentukan Tingkat Kepuasan Siswa Terhadap Penggunaan Sarana Dan Prasarana Pendidikan Berbasis Web (Studi Kasus : SMP Islam Al-Falaah Ciputat) Fikri, Muhammad; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 3 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

Al-Falaah Islamic Middle School is an educational institution at the junior high school (SMP) level, established in 2009 and has a vision to produce the next generation of people who believe and fear Allah SWT. Al-Falaah Islamic Middle School has a problem with facilities and infrastructure, namely where there are still many weaknesses in receiving this service, so that it has not been able to meet the quality expected by students and parents. Therefore, in solving this problem, a decision support system was created to manage service strategies in facilities and infrastructure using the Mamdani Fuzzy Inference System method. The author conducted research by selecting the best criteria for service quality so as to improve the quality of school facilities and infrastructure. In this writing the author uses the programming language HTML, PHP, and MySQL Database to store data. From the results of this study it is hoped that the application of determining the level of satisfaction with the mamdani method can make evaluations for schools in improving the quality of facilities and infrastructure for schools so that they continue to be trusted by the community and prospective parents of students.
Perbandingan Metode Algoritma C4.5 Dan Naïve Bayes Untuk Menganalisa Review Pengguna Layanan Ekspedisi JNE Melalui Aplikasi Google Playstore Oktalia, Cici; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 3 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

E-commerce, is a platform for selling products and services online and is heavily dependent on the logistics industry, especially shipping services. The large number of online sales transactions has increased the number of users of shipping services. One of the companies operating in the field of shipping services in Indonesia is Tiki Jalur Nugraha Ekakurir or better known as JNE. The existence of this JNE expedition service allows e-commerce to divert their attention from the aspects of inventory to a more centralized distribution of products. JNE's been up and down in his performance. Based on Google Play, My JNE has the lowest rating. Some of the complaints that customers submit on Google Play are most often submitted are package delays, pricing inconsistencies, packages received in damaged condition, and more. The study analyzed customer reviews related to JNE expedition services available on the Google Play platform using the C4.5 algorithm method and the Naïve Bayes Algorithm to determine the speed and accuracy of calculations using which method is more efficient and accurate. Overall, this research provides insight into how classification methods can be used to analyze customer reviews and understand sentimental expedition services.
Implementasi Data Mining Untuk Menentukan Persediaan Stok Pakan Kucing Menggunakan K-Means Clustering (Studi Kasus : Suterakoi) Maulana Akbar, Fauzi; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 3 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

Suterakoi is a company located in the Silk World. The company sells quality cat food specifically to meet the nutritional and health needs of cats. Currently the process of managing cat feed stocks in the Suterakoi warehouse continues to use conventional methods, this often leads to an inconsistency between the amount of stock available and the actual amount. Because of the lack of accurate reports on the goods sold and the availability of stocks of cat feed in the warehouse, this has resulted in a written cat feed stock report that does not correspond to the amount of cat food stock in the storehouse. This could affect customer demand for cat feed stock produced by Suterakoi. The author did a research to build a system that could help the company predict stocks of cat feed in the warehouse. For this situation, the creators run the information mining application using the K-Means Grouping strategy. This strategy is used to gather information into groups based on commonalities. by classifying stocks based on certain attributes such as product type, price, or demand needs. The author designed a web-based Data Mining application using PHP and MySQL programming languages as data storage. Hopefully this study can improve accuracy in predicting cat feed stocks.
Implementasi Decision Support System Penentuan Penerimaan Bantuan Untuk Siswa Kurang Mampu Menggunakan Metode Promethee Satifa, Risa; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 3 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

MI Raudlatul Athfal is an Islamic Education School under the auspices of the Nurush Shodiqin Foundation located in Kp. Rawa Panjang, Bojonggede, Kab. Bogor. The number of students attending MI Raudlatul Athfal is approximately 520 students. The main problem faced is the difficulty of determining which students are entitled to receive assistance for underprivileged students who attend Mi Raudlatul Athfal, and the school also does not have a system that can determine students to receive assistance appropriately and accurately. Determination of students who are entitled to receive assistance is more often subjective, the determination is based on individual teacher assessments, so that the students selected do not match the criteria set by the school. To overcome this problem, the author conducted research using the Promethee Method or Preference Ranking Organization Method for Enrichment Evaluation to determine educational assistance from the school. This research aims to design a Decision Support System (DSS) to determine recipients of assistance for underprivileged students at MI Raudlatul Athfal. This system uses the Promethee method to calculate the preference value for each child based on several criteria that have been determined as a condition for determining aid recipients for underprivileged students at MI Raudlatul Athfal. In this research, the author used the JavaScript programming language and MySQL database as data storage.
Analisa Pengaruh Penggunaan Internet Terhadap Minat Belajar Siswa SMP Menggunakan Metode Naïve Bayes Puji Lestari, Dyta; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 3 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

SMP S Islam Cikuda is one of the educational units with a junior high school level, which is located on Jalan Raya Cikuda No 1, Parungpanjang District, Bogor Regency 16360. The internet has become an integral part of daily life, including in the context of education. The use of the internet is becoming more widespread among students. Many students access the internet to seek information, study, and communicate. A problem that often causes concern in junior high schools is that students use the internet as a place of entertainment and play games. Schools face obstacles in monitoring how the use of the internet affects students' interest in learning, especially related to the subject matter taught by teachers. This is important to understand the extent of the influence of internet use on students' interest in learning. To overcome this problem, the researcher used the Naïve Bayes  method to analyze the correlation between internet use and students' interest in learning. In this study, the author uses the PHP programming language and data storage using a Mysql database. The researcher analyzed the use of the internet on students' learning interests, the analysis stage of the Bayes naives calculation in this study was carried out by a classification method that had been obtained from the training data/vocabulary of the observation results. With this research, it is hoped that schools can find out the influence of internet use on students' learning interests, which can be used by teachers to make wiser decisions about learning materials to be given in class, and can help teachers to understand what is more interesting to students, and change learning strategies according to students' learning interests.
Implementasi Metode Natural Language Processing (NLP) Pada Chatbot Dalam Sebuah Aplikasi Pesan Berbasis Web Untuk Meningkatkan Layanan Pelanggan (Studi Kasus: Reicomp) Sheva Nurmansyah, Muhammad; Zakaria, Hadi
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 2 No. 6 (2024): Logic : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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

Abstract

Reicomp merupakan perusahaan yang bergerak dalam bidang penyedia layanan dan jasa service maintenance laptop serta komputer. Reicomp memiliki dua cabang yang terdapat di daerah Tangerang dan Jakarta. Pada masing-masing cabang memiliki enam karyawan. Perusahaan Reicomp sangat bergantung pada proses layanan service maintenance laptop serta komputer yang cepat dan bagus. Kendala yang dihadapi perusahaan adalah tidak mempunyai sistem yang bisa memberikan informasi secara online tentang kerusakan laptop yang dimiliki pelanggan sehingga pelanggan harus datang ke tempat service untuk menanyakan kerusakan laptopnya dan hal tersebut membutuhkan waktu untuk melakukan pengecekan kerusakan laptop, akibat dari hal tersebut membuat banyak waktu terbuang sehingga waktu untuk service laptop menjadi lebih lama. Untuk mengatasi masalah ini, membutuhkan suatu sistem yang dapat memberikan solusi yang tepat seperti chatbot. Pelanggan dapat menggunakan aplikasi chatbot dengan cara menyampaikan kendala yang terjadi pada laptop atau komputer, aplikasi chatbot akan merespon pesan dari pelanggan. Penulis dalam penelitian ini menggunakan metode Natural Language Processing (NLP). Implementasi chatbot dengan metode NLP memungkinkan chatbot untuk memahami bahasa manusia dalam berbagai bentuk, termasuk variasi dalam tata bahasa, kosakata, ejaan, dan struktur kalimat. Penulis merancang aplikasi berbasis website dengan bahasa pemrograman PHP dan MySql sebagai penyimpanan datanya. Pelayanan yang baik sangat dibutuhkan dalam perusahaan salah satunya bergantung pada respon chat yang efektif dan cepat dalam menjawab keluhan pelanggan. Implementasi chatbot dengan metode NLP diharapkan dapat memberikan pelayanan yang maksimal serta meningkatkan kepercayaan perusahaan, memberikan kontribusi positif terhadap pertumbuhan dan keberlanjutan perusahaan secara keseluruhan.
Implementasi Perbandingan Metode Algoritma Support Vector Machine (SVM) DAN Naïve Bayes Untuk Menganalisa Pendapat Masyarakat Terkait Cyberbullying Diera Teknologi Digital Pada Aplikasi X Awaludin, Ibnu; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 5 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

In the era of digital technology, technological advances have changed the way people interact, but have also increased cases of cyberbullying, especially among children and adolescents who use the X application. Cyberbullying perpetrators feel safe from direct consequences because of the anonymity of the internet. The Indonesian Psychological Practice Foundation (YAPI) is concerned about this problem and plans to develop an application to analyze public opinion about cyberbullying on social media X. This study aims to analyze public opinion using the Support Vector Machine (SVM) and Naïve Bayes Algorithms, and identify the most efficient and accurate methods in terms of speed and accuracy. Data from the X platform will be taken using Python, processed through preprocessing, and stored in a MySQL database. This study is expected to determine the superior method between SVM and Naïve Bayes, as well as provide a better understanding of preprocessing techniques in analyzing opinions on social media, thereby improving the quality and relevance of the analysis results.
Implementasi Metode Adaptive Neuro Fuzzy Inference System (ANFIS) Untuk Memprediksi Cuaca Pada Data Time Series (Studi Kasus : BPP (Balai Penyuluhan Pertanian Caringin) Khoirun Nisa, Sevhia; Zakaria, Hadi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 4 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

The Caringin Agricultural Extension Center (BPP) is an institution responsible for providing counseling and guidance to farmers in the Caringin region regarding effective agricultural methods, especially in the food sector. Amid unstable weather changes, farmers in BPP Caringin face uncertainty in weather forecasting that affects their agricultural production. The lack of information from BPP in mitigating the weather increases the risk of farmers because farmers often plant not according to the season.To solve this problem, it requires a system that is able to predict the weather more accurately. The authors in this study used the Adaptive Neuro Fuzzy Inference System (ANFIS) method as an effective solution. By integrating neural networks and fuzzy logic, ANFIS can improve weather forecasting accuracy. The use of PHP software with TensorFlow and Scikit-Fuzzy became a technical solution for efficient ANFIS model development. In addition, to store a data, then use MySQL. Through model training using historical weather data, we hope to provide more reliable weather predictions to support farmers in better decision making. It is hoped that this solution can reduce the risk of losses caused by weather uncertainty for farmers in BPP Caringin.It is hoped that with the implementation of the ANFIS method and the development of more accurate models, farmers in BPP Caringin will reduce the risk of losses due to weather uncertainty. More reliable weather predictions are expected to enable farmers to make informed decisions regarding planting time, crop maintenance, and harvesting. This solution is expected to not only benefit farmers in the region, but also become a foundation for the development of better and wider weather prediction systems, increasing overall agricultural productivity.
Penerapan Metode Elimination and Choice Expressing Reality Untuk Menganalisis Preferensi Konsumen Dalam Pemilihan Paket Layanan Wedding Organizer Berbasis Website (Studi Kasus: PT. Fifa Management Indonesia) Melisa Dwi Hestiani; Hadi Zakaria
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 11 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

PT. Fifa Management Indonesia is a company that operates in the field of special services in wedding package or wedding organizer services. In the rapidly growing wedding industry, understanding consumer preferences in choosing wedding organizer service packages is crucial for companies to strengthen their position in a competitive market. The problem faced is the absence of an accurate system for analyzing consumer preferences, resulting in a lack of understanding of consumer preferences in choosing wedding organizer service packages to optimize more efficient and accurate wedding organizer service package offerings. To overcome this problem, this research applies the Elimination And Choice Expressing Reality (ELECTRE) method. This method is the right choice in multi-criteria decision analysis that is effective in dealing with the complexity of consumer preferences. Data obtained from consumer surveys is used to build a decision matrix, which is then analyzed using specific software to produce optimal solutions. For this reason, the author implemented an application that allows more structured analysis, so that it can facilitate communication between companies and consumers to more accurately understand consumer preferences. Application development was carried out using the PHP programming language and MySQL database, with the Waterfall system development model. It is hoped that this research can help PT. Fifa Management Indonesia in increasing effectiveness in understanding consumer preferences in choosing wedding organizer service packages that suit their needs. By implementing the Elimination And Choice Expressing Reality (ELECTRE) method and developing structured applications, it is hoped that the decision-making process for offering wedding organizer service packages to consumers will become more measurable, objective and efficient, so as to increase consumer satisfaction and overall company performance.
IMPLEMENTASI DECISION SUPPORT SYSTEM UNTUK PENENTUAN LOAN CREDIT SCORE DENGAN MENGGUNAKAN METODE TOPSIS (Studi Kasus: BFI Finance BSD Tanggerang) Asep Yudistira Saputra; Hadi Zakaria
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 11 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

The oldest lending company in Indonesia is PT BFI Finance Indonesia Tbk ("BFI" or the "Company"), which was established in 1982 under the name PT Manufacturer Hanover Leasing Indonesia. BFI Finance has established itself as a leader in this sector throughout the course of its lengthy history. Regarding the issues at PT. BFI Finance, calculating loan credit scores effectively and precisely is difficult since it takes into account a number of variables, including income, credit history, and other risk indicators. As a result, risk credit scores are accurately determined when evaluating BFI Finance's lending viability. By taking into account the relative proximity to the ideal solution and the ideal negative solution, the TOPSIS approach makes it possible to choose the optimal option among several options. This approach can more reliably and accurately calculate credit scores by utilizing past data and pertinent borrower attributes. It is anticipated that this implementation will lower credit risk, boost confidence in financial institutions, and improve the accuracy of determining borrower eligibility. In addition, a more effective decision-making process can lower operating expenses and boost productivity. Users can gather pertinent borrower data, including income, credit history, and collateral details, by creating the appropriate database structure. with the use of MySQL and PHP scripts. A borrower's credit score can be determined using the TOPSIS approach. By using the TOPSIS method, this study significantly enhances BFI Finance's operational effectiveness and service quality, which helps the organization become more accurate in its evaluations.
Co-Authors Achmad Udin Zailani Adam Gustiawan Adbillah, Muhammad Iman Adela Fadli, Putri Adi Kurnia Sena Aditya Putra Maulana Adriansyah, Fikri Ageng Putra Mulya Agung Kurnia Solihin Agung Nugroho, Fajar AGUNG SETIAWAN Agus Mulyono Agus Winarno, Agus Ahmad Faisal Ahmad Syahid Jindan Aida Eka Marlia Aji Saputra Alam, Indraja Alamsyah, Tajul Alan Febriansyah Alfath Sidik Ali Mahpudin Alimudin, M. Aziz Allifiah Firnando Alvino Oktaviano Alwi Al Agiv Amin, Faisal An Nisa Dira Andre Farhan Saputra Andri Firman Saputra Anggreani Br.Sormin, Natalia Anggreyni, Ayu Anissa Puspitasari Anugrah Ade Purnama, Oktaviana Aqil Farhan, Muhammad Ardhiansyah, Maulana Ari Mulyoto Arif Fajar Fadillah Aris Priyanto Arraniri, Nuruddin Arya Sena, Alven Asep Yudistira Saputra Asshadath, Farhan Aufarramdhi, Rizki Aulia Rizki, Muhammad Awaliyatunniza, Putri Awaludin, Ibnu Ayuningtyas Putri M Azhar, Muhammad Aditya Azzahra Ridwan Dalfin Susanto Damayanti, Riana Daniel Prastyo Dede Muhar Ardiansyah Dena Wulandari Dendy Syahrul Kamil Detina Euis Nuraini Devita Maulina Cahyani Dewa Fortuna Dewi Safutri Diah Prastyani Diaz Aji Sasongko Dila Fadilah Dwi Riyanto Elfi Fauziah Fachriza Khairul Fajri Fahri Patir Ramadhan Faiz Fauzy Fajar Setiawan Farsya Runa Supriyatna Fathu Ramadhan, Miftah Fauzi, Ahmad Rezki Febiyanto, Dedy Fikriansyah , Muhamad Furkon, Muhammad Ghufron Malik Azizi Ghufroniyah, Muflihatul Gilang Azis Ramadhan Gustiani, Andini Hakim, Ilham Abdul Hedwin Winata Halawa Herlan Ramadhan Hernanda Saripudin, Fajri Ibnoe Malik Ilham Bustomi Imam Wahidin Indah Purwati Intan Tri buana Iqbal Suyudi Wijaya, Mochammad Irene Nur Utami Ismail Joe Hadi Saputra, Steven Julianto, Rahmat Khatijah Omar Khoirun Nisa, Sevhia Kohar Krismonica Ningsih, Triani LINDAWATI Lisa Ardeliana Lisa Raudatul Jannah Liyana Febriyanti Liyen Mulya M. Syauqi Alfayyadh Marlia, Aida Eka Marsandy Rulian Maulana Akbar, Fauzi Maulidan Jaya Angkasa Meidina, Firda Melisa Dwi Hestiani Micko Biagi, Muhammad Miftahul Falah Miftahul Falah, Adam Mochamad Febry Herdian Mohamad Eko Saifudin Mohammad Zaki, Beningsha Muhamad Farhan Praditya Muhamad Rosdiana Muhammad Arief Ramadhan Muhammad Asrizal Muhammad Bryan Putra H Muhammad Dizkri Amrullah Muhammad Dzaki Ilhami Muhammad Farras Haidar Muhammad Fikri Muhammad Haiqal Latief Muhammad Iqbal Bintang Muhammad Likario Muhammad Malik Khalil Muhammad Rafli Muhammad Rafli Efendi Muhammad Rifa’I Muhammad Rifqi Muhammad, Rifaldie Munawaroh Munawaroh - Mu’ammar Kurniawan Nabila Bilqis Nator Diego Sitorus Niki Ratama Nikmatul Chasanah Noris, Shandi Nugroho Candra Dimuka Nur Jaya Nurkhalifah Akbal, Adinda Oktafiandi, Randu Oktalia, Cici Pandu Wiliantoro Patricia Zefanya, Kezia Perani Rosyani Pramudya Reynaldi Salim Pratama Pujiyatno, Azfa Puji Lestari, Dyta Putra Bagus Satrio Putri Nur Karisma Dewi, Ardila Rachmad Husaeni, Fahri Raihan Amsyah, Rahmad Raihan Ilyasah Ranti Amanda Rizkia Rara Anggraeni Reizal Putra Hidayat, Muhamad Reza Putra Nurhudaya Rifki Ichsan Fauzi Rindiyani Riska Fitriyani Riswal Hanafi Rizal Fauzi Rizki Fadilah, Muhamad Rizky Ramdhani, Rizky Rizky Saputra, Ilham Rizqi Wahyuni Rohmahwati Sabri Maulana M. Saiful Mujab, Saiful Samalo, Nurali Samirudin Annas Alfattah Samsoni Samsoni Samsoni Sapta Nurhayadi, Dony Saputra, Roby Saputra, Sugeng Sari, Aulia Kurnia Sartika Lina Mulani Satifa, Risa Satrio Novianto, Rifqy Saynu Ahmad Habibi Septianti Septiyani Mardiyana Setya Ningsih, Eka Sheva Nurmansyah, Muhammad Shinta Zulfa Zerlita Shoddam Palah Shuja, Affan sidiq , Rizal jafar Sifa Nur Faujiah Sri Rahayu, Eka Sulhanuddin, Muhammad Syahdan , Muhammad Syahril Syahrul Wujud Syarifuddin, Nurhalimah Syawalia Zahra Taufikurrohman Tri Prasetyo Prast Triyanto, Aripin Ubaydillah, Muchamad Udin Zaelani, Achmad Yoga Zahrudin Yudha Nur Muharram Yudhistira Gibran Zaelani , Ahmad Zahrotul Jannah, Nabila Zurnan Alfian