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Dahlan Abdullah

Universitas Malikussaleh

Author-ID : 217988

Religion Agriculture, Biological Sciences & Forestry 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Prediction Of Industrial Waste Using The Autoregressive Integrated Moving Average Method Roslaini, Roslaini; Abdullah, Dahlan; Suwanda, Rizki
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.624

This study presents the development of a web-based industrial waste prediction system using the Autoregressive Integrated Moving Average (ARIMA) method to forecast the volume of liquid and solid waste generated by PT Pupuk Iskandar Muda (PIM). The predictive model is built upon historical waste data collected between 2020 and 2023, serving as the foundation for the statistical analysis. The system is developed using the Flask web framework, offering an interactive and user-friendly interface, while SQLite3 is employed as a lightweight local database solution for efficient data handling. The ARIMA (1,1,1) model was selected based on stationarity testing and examining ACF and PACF patterns. The results suggest that the model can moderately capture prediction trends, although limitations in accuracy are evident. For 2024, liquid waste is projected to decrease from 30,600 tons in January to 29,400 tons in December. In contrast, solid waste displays a more stable trend, with an average monthly generation of approximately 23.2 tons. Model performance was evaluated using the Mean Absolute Percentage Error (MAPE) method, yielding high error rates—166.11% for liquid waste and 100% for solid waste, highlighting the significant impact of data quality and completeness on prediction accuracy. The system generates visual outputs through interactive graphs and tables accessible via a web browser, supporting data-driven decision-making. This research is a predictive tool for PT PIM and a reference for future development of technology-driven waste management systems to promote environmental sustainability.

The Role of Ergonomic Interventions in Enhancing Employee Well-being: A Case Study from the Hospitality Industry Irwanti, Ni Ketut Dewi; Adiatmika, I Putu Gede; Muliarta, I Made; Abdullah, Dahlan
JURNAL INFO KESEHATAN Vol 22 No 4 (2024): JURNAL INFO KESEHATAN
Publisher : Research and Community Service Unit, Politeknik Kesehatan Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/infokes.Vol22.Iss4.1725

The impact of ergonomic interventions and multitasking on employee well-being, particularly in high-demand hospitality settings, explores how these factors interact with perceived organizational support, an essential mediator that could influence employee satisfaction, health, and productivity. This study aims to discover the relationships among ergonomic interventions, multitasking, perceived organizational support, and employee well-being, focusing on employees of the Puri Saron Hotel Group in Bali. The study employs a quantitative methodology, utilizing SEM SmartPLS 3 software. Data was collected over questionnaires spread to a sample of 100 employees, following Slovin’s formula. The findings contribute to the growing field of workplace ergonomics by demonstrating that both physical ergonomic interventions positively, with the with the highest significant impact, and followed by multitasking for employee well-being, as the study is focused on a single hospitality group, the generalizability of the results may be limited. The enhancing ergonomic conditions and multitasking abilities, coupled with strong organizational support, can significantly improve employee well-being, particularly in industries with high physical and cognitive demands. this offering valuable insights into the role of perceived organizational support in mediating these relationships.

Perancangan Sistem Informasi Geografis Berbasis Web dengan Geotagging untuk Pengaduan Masyarakat dan Pendataan Kerusakan Infrastruktur Affiza, Denhaz Pattra; Abdullah, Dahlan; Muthmainnah, Muthmainnah
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7798

Maintenance of public infrastructure such as potholed roads, damaged bridges and malfunctioning lighting is often hampered by the absence of a fast, accurate and location-based reporting system. This results in a slow response from relevant agencies in dealing with the damage. This research aims to design and develop a web-based Geographic Information System (GIS) equipped with geotagging features to facilitate digital and spatial reporting of infrastructure damage. The system was developed using the Waterfall method through the stages of analysis, design, implementation, and testing. The technologies used include Laravel, JavaScript, HTML, CSS, and OpenStreetMap. The main features of the system include a reporting form with automatic geotagging, an interactive map, and an admin dashboard for the verification process. Testing was conducted using the Black Box and User Acceptance Test (UAT) methods, which resulted in 90% efficiency, 87% service, and 81% design scores. These results show that the designed system is able to improve reporting efficiency and strengthen community participation. This system is expected to be a participatory and transparent technology solution in managing and handling public infrastructure more quickly and responsively.

Measuring The Efficiency of Social Assistance Recipients in the Family Hope Program Using the Data Envelopment Analysis Method Hasibuan, Fadilah Suryani; Abdullah, Dahlan; Nunsina, Nunsina
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.268

This study aims to measure the efficiency of aid distribution in the Family Hope Program (PKH) across six sub-districts in Medan Denai using the Data Envelopment Analysis (DEA) method. DEA allows a relative efficiency evaluation of multiple decision-making units (DMUs) by comparing inputs such as budget, number of officers, and recipients, against outputs like targeted beneficiary rate, distribution timeliness, and satisfaction level. The findings reveal that three sub-districts—Medan Tenggara, Tegal Sari Mandala I, and Tegal Sari Mandala II—achieved full efficiency with a score of 1. In contrast, Binjai, Denai, and Tegal Sari Mandala III were found to be inefficient due to higher input consumption not matched by proportional output. The study suggests that inefficient sub-districts can improve their performance by adopting the practices of efficient ones. These insights are expected to assist local governments in optimizing social assistance programs and ensuring better resource utilization.

Forecasting Palawija Harvest Results In North Aceh Using Multiple Linear Regression Method Fadlisyah, Fadlisyah; Abdullah, Dahlan; Aulia Barus, M Farhan; Riansyah, Muhammad
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.425

The agricultural sector is one sector that is very dominant in people's income in Indonesia because most Indonesians work as farmers. One of the plants that play the most crucial role is the palawija plant. An increase in the amount of production and the harvested area will also increase the amount of harvest produced; therefore, to find out which areas have the potential to become producers of productive secondary crops in North Aceh, one of them is by predicting crop yields using the multiple linear regression method. The dataset used for this research is data on the development of palawija crop intensification in North Aceh Regency from 2017 to 2021, taken from the Department of Agriculture and Food Crops, North Aceh Regency. The multiple linear regression method is implemented by entering actual data. Then the data will be calculated in various stages, starting from determining the value of constants and coefficients using a table helper. After getting the result value, then converted into matrix form A and H to find the determinants A1, A2, A3, and A4. After that, enter it into a linear regression pattern and produce a predictive value of crop yield data for the coming year. Calculations in the linear regression method are taken on soybean yields in the Tanah Jambu Aye sub-district in 2022, ranging from 61.00 tons.

Design of Electric Wheelchair Using Pulse Width Modulation (PWM) Method Nisa, Fidyatun; Abdullah, Dahlan; Akhyar, Daniel
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.638

An electric wheelchair is an essential mobility device for individuals with physical disabilities. Unlike traditional manual wheelchairs, which can be challenging for users to operate independently, an innovative PWM (Pulse Width Modulation) based electric wheelchair has been developed and tested. This wheelchair employs an Arduino Uno microcontroller, ultrasonic sensors, joystick input, and motor drivers to control speed and direction effectively. The system utilizes PWM to adjust the motor speed in proportion to the joystick input. Testing demonstrated that the wheelchair's motor responds efficiently to changes in PWM values. Additionally, the system successfully stops the motor when obstacles are detected within 80 centimeters. The ultrasonic sensors demonstrated an impressive measurement accuracy, with an average error of only 1%. Moreover, increasing the PWM values resulted in faster wheelchair speeds, showcasing the system’s ability for responsive speed control. This design provides an affordable and effective solution to improve mobility for users with disabilities.

ANALISIS KEPUASAN PENGGUNA APLIKASI DANA MENGGUNAKAN METODE END USER COMPUTING SATISFACTION (EUCS) DAN DELONE & MCLEAN Widiyani, Maya; Fachrurrazi, Sayed; Abdullah, Dahlan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4104

Abstract: The development of digital technology has driven transformation in the financial sector through the use of e-wallet applications, one of which is DANA, a popular platform in Indonesia. Although it has many users, negative reviews regarding system and information quality are still found, indicating a gap between user expectations and experiences. This study analyzes user satisfaction levels with the DANA application by combining two theoretical approaches: End User Computing Satisfaction (EUCS) and the DeLone & McLean Model. EUCS assesses five satisfaction dimensions: content, accuracy, format, ease of use, and timeliness, while the DeLone & McLean Model adds system quality, information quality, service quality, and net benefits dimensions. Data were collected through an online questionnaire from 352 active DANA users across Indonesia and analyzed using Structural Equation Modeling (SEM) with SPSS 25 and AMOS 25 software. The results show that the indicators content, accuracy, service quality, and net benefits significantly influence user satisfaction, whereas format, ease of use, timeliness, system quality, and information quality do not have a significant effect. Overall, most users are satisfied with the services provided by the DANA application. Keywords: User Satisfaction, DeLone & McLean, EUCS, DANA, e-wallet. Abstrak: Perkembangan teknologi digital telah mendorong transformasi di bidang keuangan melalui aplikasi e-wallet, salah satunya DANA yang populer di Indonesia. Meski memiliki banyak pengguna, ulasan negatif terkait kualitas sistem dan informasi masih ditemukan, menunjukkan adanya kesenjangan antara ekspektasi dan pengalaman pengguna. Penelitian ini menganalisis tingkat kepuasan pengguna aplikasi DANA dengan menggabungkan dua pendekatan teoritis, yaitu End User Computing Satisfaction (EUCS) dan Model DeLone & McLean. EUCS menilai lima dimensi kepuasan yaitu content, accuracy, format, ease of use, dan timeliness, sedangkan Model DeLone & McLean menambahkan dimensi system quality, information quality, service quality, dan net benefits. Data dikumpulkan melalui kuesioner daring kepada 352 responden aktif pengguna DANA di seluruh Indonesia dan dianalisis menggunakan Structural Equation Modeling (SEM) dengan SPSS 25 dan AMOS 25. Hasilnya menunjukkan indikator content, accuracy, service quality, dan net benefits berpengaruh signifikan terhadap kepuasan pengguna, sementara format, ease of use, timeliness, system quality, dan information quality tidak berpengaruh signifikan. Secara keseluruhan, mayoritas pengguna merasa puas dengan layanan DANA. Kata kunci: Kepuasan Pengguna, Delone & Mclean, EUCS, DANA, E-wallet

Toward a Sustainable Rural Tourism Workforce: Current Trends and Future Prospects in Indonesia Kalsum, ER. Ummi; Abdullah, Dahlan; Widjaja, Herry Rachmat
Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Vol. 7 No. 2 (2025): August-December
Publisher : Politeknik Pariwisata Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33649/pusaka.v6i2.477

This study explores the evolving dynamics of Indonesia’s rural tourism workforce, emphasizing its role in regional development and the challenges it faces. As rural tourism grows, driven by unique cultural and natural assets, it creates employment but also exposes workforce limitations, including low digital literacy, seasonal jobs, and skill gaps. The study aims to understand how demographic factors such as age, gender, education, and skills shape the workforce and influence its adaptability. Using a qualitative descriptive approach supported by secondary data analysis, this paper examines trends in workforce composition and the impact of digital transformation on rural employment. Findings indicate a growing demand for digital competencies, yet rural areas often lack training access and strategic workforce development. Challenges like job insecurity and limited career pathways further hinder sustainable growth. The study highlights the need for targeted interventions through human resource development, emphasizing collaboration between government, educational institutions, and industry. It concludes by recommending strategic training programs, strengthened academia-industry partnerships, and policy support to ensure workforce resilience and competitiveness. This research contributes to the discourse on sustainable tourism by offering insights into workforce readiness, serving as a roadmap for strengthening Indonesia’s rural tourism sector.

IMPLEMENTATION OF LONG SHORT TERM MEMORY (LSTM) ALGORITHM FOR PREDICTING STOCK PRICE MOVEMENTS OF LQ45 INDEX (CASE STUDY: BBCA 2017 – 2023 STOCK PRICE) Cindy Rahayu; Dahlan Abdullah; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.6

This research aims to implement the Long Short Term Memory (LSTM) algorithm in predicting the movement of LQ45 stock prices. In this study, historical data of BBCA stock prices were used as an example of LSTM method implementation. The development process of the stock price prediction application begins with the collection of historical data, which then undergoes a preprocessing stage for normalization. The data is divided into training and testing sets, and transformed into suitable sequences for LSTM model input. The LSTM model is trained using the backpropagation through time algorithm and tested using the testing data. The predicted results from the LSTM model are compared with the actual labels using RMSE and MAPE metrics. Once satisfactory predictions are obtained, they are stored in a database and presented to users in the form of graphs and comparison tables. The implementation of LSTM in this research demonstrates prediction accuracy with an error percentage below 6%, with MAPE of 5.4772% and RMSE of 6.658%. Furthermore, the implementation of LSTM in the developed application using the latest historical data also yields low error percentages, with MAPE ranging from 3.7763% to 5.8048% for various stock price features. In conclusion, the LSTM method can be used for predicting stock price movements with satisfactory accuracy, providing valuable information for investment decision-making.

ANALISIS METODE FUZZY C-MEANS UNTUK DETEKSI DAN KLASTERISASI PENYAKIT DIABETES DI RSUD PIDIE JAYA Arifah, Mutia; Muthmainnah, Muthmainnah; Abdullah, Dahlan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4201

Abstract: Diabetes is a chronic disease with a steadily increasing number of suf Mutia Arifah ferers every year, including in Pidie Jaya Regency. Early detection and clustering of sufferers are crucial to support effective disease management, personalized care, and more targeted allocation of health resources. This study aims to cluster sub-districts based on the number of diabetes sufferers using the Fuzzy C-Means (FCM) method. This method was chosen because it can flexibly group data by calculating the degree of membership of each data item within each cluster. The data used is secondary data on the number of diabetes sufferers from 12 sub- districts in Pidie Jaya Regency during the 2021-2024 period. The clustering process is carried out through several stages: parameter initialization, random creation of an initial partition matrix, calculation of cluster centers, degree of membership, and iterative evaluation of the objective function until convergence. The results show that Fuzzy C-Means successfully divides the data into two clusters: high and low clusters. Subdistricts such as Trienggadeng and Meureudu are in the high cluster, while Cubo and Jangka Buya are in the low cluster. The objective function value decreased significantly and reached convergence at the 13th iteration. The results of this study are expected to assist local governments and health agencies in developing more targeted policies based on the geographic distribution of diabetes sufferers in the Pidie Jaya region.Keyword: Diabetes, Clustering, Fuzzy C-Means.Abstrak: Diabetes merupakan salah satu penyakit kronis yang jumlah penderitanya terus meningkat setiap tahun, termasuk di Kabupaten Pidie Jaya. Deteksi dini dan klasterisasi penderita sangat penting untuk mendukung manajemen penyakit yang efektif, personalisasi perawatan, serta alokasi sumber daya kesehatan yang lebih tepat sasaran. Penelitian ini bertujuan untuk mengklaster wilayah kecamatan berdasarkan jumlah penderita diabetes menggunakan metode Fuzzy C-Means. Metode ini dipilih karena mampu mengelompokkan data secara fleksibel dengan memperhitungkan derajat keanggotaan setiap data terhadap masing-masing klaster. Data yang digunakan berupa data sekunder jumlah penderita diabetes dari 12 kecamatan di Kabupaten Pidie Jaya selama periode 2021, 2022, 2023 hingga 2024. Proses klasterisasi dilakukan melalui beberapa tahap, yaitu inisialisasi parameter, pembuatan matriks partisi awal secara acak, perhitungan pusat klaster, derajat keanggotaan, dan evaluasi fungsi objektif secara iteratif hingga konvergensi. Hasil penelitian menunjukkan bahwa Fuzzy C-Means berhasil membagi data menjadi dua klaster, yaitu klaster tinggi dan rendah. Kecamatan seperti Trienggadeng dan Meureudu termasuk klaster tinggi, sedangkan Cubo dan Jangka Buya termasuk klaster rendah. Nilai fungsi objektif menurun signifikan dan mencapai konvergensi pada iterasi ke-13. Hasil penelitian ini diharapkan dapat membantu pemerintah daerah dan instansi kesehatan dalam membuat kebijakan yang lebih tepat sasaran berdasarkan distribusi geografis penderita diabetes di wilayah Pidie Jaya.Kata kunci: Diabeter, Clustering, Fuzzy C-Means.

Co-Authors - Hartono . Zulfan Abdul Wahab Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Affiza, Denhaz Pattra Afisman, Heri Juni Afriza, Muhammad Ridho Agus Sukoco Akbar, Abdul Hanif Akhyar, Daniel Al- Amin Ali Nasith Alimul Haq, Nur Ambas, Jamin Amrina, Amrina Ananda Faridhatul Ulva Andi Latif, Sarifudin Andik Bintoro ani, Muli Ansyari, Taufik Habib Anuar Bahri, Khairil Ar Razi, Ar Razi Arifah, Mutia Arifin, Arifin Aslam Aslam, Aslam Aulia Barus, M Farhan Ayu Anggreni, Made Berkah Nadi, Muhammad Abi Chaliza Nur, Wan Amalia Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita Darmawanta Sembiring Defi Irwansyah Deisye Supit Devin Mahendika Dita Amelia, Dita Eko Prastyo Elviwani Elviwani Elviwani Elviwani Elviwani, Elviwani Emy Yunita Rahma Pratiwi ER. UMMI KALSUM Erianto Ongko Erlina Erlina Erlina Erlina Fadlisyah Fadlisyah Fadlisyah Farida Juliarta, Evie Fazil, M Fidyatun Nisa Fikri, Khusnul Firman Aziz Gamar Al Haddar Gio, Prana Ugiana Haedir, Haedir Hapsarini, Deslana Roidja Haris Danial Hartono Hartono Hartono Hartono Hartono, Natalia Rumanti Hasanun Hasibuan, Abdurrozzaq Hasibuan, Fadilah Suryani Hasibuan, Muammar Faturrahman Heri Juni Afisman Herry Rachmat Widjaja Hery Budiyanto HS, Nurmadina I Ketut Sutapa I MADE MULIARTA . I Putu Agus Dharma Hita I Putu Gede Adiatmika Ika Rahayu Satyaninrum IKhwanda Putra, Al Malikul Imanullah, Imanullah Indra Pilianti D Indra Tjahyadi Indrawati Indrawati Irdanil Kamal, Irdanil Irianto, Sugeng Irma Oktari Irwansyah, Defi Islam, Khoirul Iswan Riyadi Iswandi Iswandi Iswandi Iswandi Iylia Azlan, Rabiatul Juarni Siregar Kamilah, Muna Kartika Kartika Kartini Rahayu Khairullah Yusuf Komang Ayu Krisna Dewi Kosasih , Kosasih Kurniawansyah, Kurniawansyah La Ode Muhammad Idrus Hamid B Lahap, Johanudin Lamsir, Seno Laros Tuhuteru Lestari, Veronika Nugraheni Sri Lidya Rosnita Limbong, Hendra Putranta Lubis, Fauzan Arbi M Farhan Aulia Barus M FAUZAN Maharani Asnur, Sardian Manik, Aktina Marganda Simarmata Marlina Sari Maryana Maryana Maryana Maryana, Maryana Masriadi Maulana, Fatur Rahman Maulinda, Rerin Maya Savira Meilyana Meilyana Meutia Rahmi Mirna Dewi Misbahul Jannah Miswar Miswar Mohammad, Wily Mohd Said, Noraslinda Mohd Syahrin Muhamad Stiadi Muhammad Daud Muhammad Fikry Muhammad Ichsan Muhammad Ihsan Dacholfany Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhwani Muhammad Khahfi Zuhanda Muhammad Khalis, Muhammad Muhammad Riansyah Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Muslem Muslem Muslem Muslem, Muslem Muthmainnah Muthmainnah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadia Karunia, Meutia Nana Citrawati Lestari Nasution, Zainannur Ni Ketut Dewi Irwanti Noviany, Henny Nunsina, Nunsina Nurdin Nurdin Nurhaedah Nurhaedah Nurhasanah Nursyamsi SY Oksfriani Jufri Sumampouw Paisal Halim Pasaribu, Hafni Maya Sari Pertiwi, Anggun Pikri, Faizal Poetri AL-Viany Maqfirah Puji, Ari Andriyas Putra, Arwin Rahmat, Rezqiqah Aulia Ramli, Rahmat Rasna, Rasna Reskiawan, Bimas - Rezzy Eko Caraka Riansyah, Muhammad Richki Hardi Rini Meiyanti Risawandi, Risawandi Rizki Suwanda Rizki Wahyuri Roslaini, Roslaini S, Syarifuddin Sabriana, Riska Safwandi Safwandi Safwandi Safwandi, Safwandi Said Fadlan Anshari salamah salamah Salat, Junaidi Samsul A Rahman Sidik Hasibuan Sandya, Deasy Saputra, Nanda Saputra, Rizwan Sasabone, Luana Satria Pati Alam Sayed Fachrurrazi Selamat Meliala Setiawan, Muhammad Ikhsan Sima, Yenny Simarmata, Marganda Sitti Nur Alam Subhan, Roni Sulistyandari, Sulistyandari Surnihayati Surnihayati Sutarna, Agus Syamsiah Badruddin Tahulending, Anneke A Teuku Mudi Hafli Touwe, Yohana S Touwe, Yohana S. Tri Suryowidiyanti Ulfa, Nur Saufani Ultra Prayogi Ulumul Haq, Bahrul Veronika Nugraheni Sri Lestari Victor E. D Palapessy Wa Ode Riniati Wahyu Pertiwi, Yuarini wandi, risa Wenny J, Syilvia Widiyani, Maya Yeni Risyani Yesy Afrillia Yuliah, Yuliah Yuniningsih Yuniningsih Yusra, Muhammad Zafera Adam, Jeanne d'Arc Zahratul Fitri, Zahratul Zainannur Nasution Zara Yunizar Zega, Subhansah Zulfahmi Zulfahmi

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