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Journal : Infotech: Journal of Technology Information

IMPLEMENTASI DATA MINING UNTUK MENENTUKAN KELAYAKAN PEMBERIAN KREDIT DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (K-NN) Muryono, Tupan Tri; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 6, No 1 (2020): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v6i1.78

Abstract

The banking world in terms of lending to customers is routine activities that are at high risk. In its execution, the problematic credit or bad credit is often due to the lack of careful credit analysis in the process of granting credit, as well as from poor customers. The purpose of this study is to implement data mining to assist in conducting credit analysis process in order to produce the right information whether the customer who will apply for the credit is worthy or not to be able to see the potential payment by the customer. The attributes used in this study consist of 11 attributes i.e. marital status, number of liabilities, age, last education, occupation, monthly income, home ownership, warranties, loan amount, length of loan and description as a result attribute. The methods of data collection used are observation, interviews, and documentation. The method used in this study is K-Nearest Neighbor (K-NN). From the results of evaluation and validation using the K-5 fold that has been done using the RapidMiner tools obtained the highest accuracy results from the K-Nearest Neighbor (K-NN) method of 93.33% in the 5th test.
PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR, DECISION TREE, DAN NAIVE BAYES UNTUK MENENTUKAN KELAYAKAN PEMBERIAN KREDIT Muryono, Tupan Tri; Taufik, Ahmad; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 7, No 1 (2021): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i1.104

Abstract

The banking world in terms of providing credit to customers is a regular activity that has a large effect. In its application, non-performing loans or bad loans are often created due to poor credit analysis in the credit granting process, or from bad customers. The purpose of this study is to compare the results of algorithm accuracy between K-Nearest Neighbor (K-NN), Decision Tree, and Naive Bayes which results in the best accuracy will be implemented to determine creditworthiness. The attributes used in this study consisted of 11 attributes, namely marital status, number of dependents, age, last education, occupation, monthly income, home ownership, collateral, loan amount, length of loan and information as result attributes. The methods used in this research are K-Nearest Neighbor, Decision Tree, and Naive Bayes. From the results of evaluation and validation using k-5 fold that has been carried out using RapidMiner tools, the highest accuracy results from a comparison of 3 algorithms is using a decision tree (C4.5) of 98% in the 3rd test.
PENENTUAN PENERIMAAN PEGAWAI MENGGUNAKAN METODE PERBANDINGAN EKSPONENSIAL (MPE) Muryono, Tupan Tri; Irwansyah, Irwansyah; Budiyantara, Agus
Infotech: Journal of Technology Information Vol 6, No 2 (2020): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v6i2.98

Abstract

Human resources (HR) plays an important role for the sustainability of higher education therefore xyz universities in conducting the process of selection of employees requires a truly competent employee in their respective fields. The problem in this study is that the selection process of employees is still subjective not based on pure test results and there is no proper method in employee acceptance. The purpose of this research is to get the right staff according to the needs of the college. There are five criteria that will be used in this study are education, work experience, psychotest scores, age, and interview scores. The data collection methods used in this study are interviews, library studies, and observations. The research methods used are the Exponential Comparison Method (MPE) and for the calculation of mpe methods using the python programming language. The result of this study is that mpe method can be applied to determine the admission of employees at xyz college.
PEMILIHAN SKRIPSI MAHASISWA TERBAIK MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI) Muryono, Tupan Tri; Sudaryana, I Ketut; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 7, No 2 (2021): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i2.119

Abstract

Thesis is a scientific work written by undergraduate students that discusses a particular topic or field based on the results of a literature review written by experts, the results of field research, or the results of development (experiments). The problem in this research is that the process of selecting the best thesis is still subjective without regard to other criteria and is also done manually which makes the selection process less efficient. The purpose of this research is to create a system for selecting the best student thesis. The method used in this research is the Composite Performance Index (CPI). Methods of data collection techniques by means of observation, interviews, documentation. The results of this study are the Composite Performance Index (CPI) method can be used for selecting the best student thesis and the results obtained for the first rank are A1 with a value of 218.75, the second rank is A2 with a value of 198.75 and the third rank is A4 with a value of 178.75.
PEMILIHAN DOSEN PEMBIMBING SKRIPSI TERBAIK MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI) Muryono, Tupan Tri; Wiranata, Ade Davy; Sudaryana, I Ketut; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 8, No 1 (2022): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i1.132

Abstract

Lecturers are professional educators and scientists with the main task of transforming, developing, and disseminating science, technology, and art through education, research, and community service. The problem in this research is that the process of selecting the best thesis lecturer is still subjective without considering the criteria and weighting factors and is also done manually resulting in the selection process being less effective and efficient. The method used in this research is the Composite Performance Index (CPI). Methods of data collection techniques by means of observation, interviews, documentation. From this research, the result is that the CPI method can help in selecting the best thesis supervisor and also the first rank is A6 with a value of 500, the second rank is A4 with a value of 470, and the third rank is A2 with a value of 445.
SISTEM PAKAR DETEKSI KERUSAKAN JARINGAN LOCAL AREA NETWORK (LAN) MENGGUNAKAN METODE BECKWARD CHAINING BERBASIS WEB Irwansyah, Irwansyah; Wiranata, Ade Davy; Muryono, Tupan Tri; Budiyantara, Agus
Infotech: Journal of Technology Information Vol 8, No 2 (2022): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i2.150

Abstract

The form of computer network connection can be via cable or wireless such as fiber optic, microwave, wireless, or satellite. One type of computer network that is often used to connect personal computers and workstations in an office or an organization, company or factory for the use of shared resources is a local area network. The purpose of this research is to analyze, design and create an application that can detect damage to Local Area Network (LAN) networks. The research method used is backward chaining. The results of this study are applications that can detect damage to local area networks using the web-based backward chaining method. With this expert system application, it can speed up and make it easier to detect damage to Local Area Network networks.
KLASIFIKASI DATA MINING UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (K-NN) Wiranata, Ade Davy; Soleman, Soleman; Irwansyah, Irwansyah; Sudaryana, I Ketut; Rizal, Rizal
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.164

Abstract

Air plays an important role in maintaining the life of living things on earth. Metabolic processes that occur in the bodies of living things cannot take place without oxygen from the air. The air pollution problem in DKI Jakarta is very serious and can cause health problems such as irritation of the respiratory tract, respiratory diseases, and long-term health problems such as cardiovascular disease and lung cancer. Air pollution can also affect environmental quality, reduce visibility, and damage ecosystems. The purpose of this study is to determine the accuracy of classifying air quality in DKI Jakarta province. The data mining method that the author uses is the K-Nearest Neighbors (K-NN) algorithm. From the results of the evaluation process of the K-Nearest Neighbors (K-NN) algorithm using the K-5 fold that has been carried out using the RapidMiner tool, the results of K-2 fold accuracy of 73.97%, K-3 fold accuracy of 72.60%, K-4 fold accuracy of 72.60%, and K-5 fold accuracy of 75.35%.
KOMPARASI ALGORITMA DECISION TREE, NAIVE BAYES DAN K-NEAREST NEIGHBOR UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA Irwansyah, Irwansyah; Wiranata, Ade Davy; M, Tupan Tri
Infotech: Journal of Technology Information Vol 9, No 2 (2023): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i2.203

Abstract

Air quality in DKI Jakarta Province refers to the state and cleanliness of the air in the area at a given time. The type and concentration of air pollutants are among the indicators used to assess air quality. DKI Jakarta's air pollution is severe, causing respiratory irritation, respiratory illnesses, and long-term health issues such as cardiovascular disease and lung cancer. Air pollution can also harm the environment by limiting visibility and harming ecosystems. The problem with the research is that no appropriate and relevant features for predicting air quality were used. The goal of this study is to identify and compare algorithms with the highest accuracy between decision trees. In determining air quality, naive Bayes and k-nearest neighbor are used. According to the findings of the K-5fold evaluation process performed with the RapidMiner tool, the accuracy of the Decision Tree algorithm was 95.89%, the accuracy of the Nave Bayes algorithm was 93.15%, and the accuracy of the K-NN algorithm was 91.78%. Based on these findings, the decision tree method has the greatest or best accuracy when compared to the Nave Bayes and K-NN algorithms.
IMPELEMENTASI WIRELESS SEBAGAI MEDIA KOMUNIKASI PADA SOFTWARE KENDALI MANIPULATOR MOBILE MULTI LENGAN Irwansyah, Irwansyah; Dzikrillah, Akhmad Rizal; Aditya, Muhammad Rifky; Al-Fadillah, Syafira Nadia; Makhfuz, Maulana Muhammad
Infotech: Journal of Technology Information Vol 10, No 1 (2024): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i1.242

Abstract

Robots or manual manipulators are a type of robot whose movements are completely controlled by humans. In certain cases, errors in the robot's work area endanger humans, so manual control of the robot at close range is not recommended. Robots in certain cases need to be controlled at medium or long distances. The use of cables as a medium for transmitting control signals over medium/long distances has weaknesses in controlling mobile robots or robots whose positions dynamically move from place to place. If controlled using a cable, a manual mobile robot requires a long stretched cable so that it cannot hinder the speed of the robot's movement so it is more efficient if controlled wirelessly. Bluetooth technology can be used as a medium for wireless transmission of medium distance control signals. The aim of this research is to design wireless-based multi-arm mobile device control software. Research methods start from mechanical, electrical, user interface and robot algorithm design. The robot designed is a manual-armed robot whose movements can be controlled by a user interface device that is connected wirelessly using Bluetooth. After getting a mature design, research was carried out on making robots and interface devices. The first stage of testing was carried out to test the robot's electricity, mechanics, user interface connection with the robot, and algorithm control. If the mechanical-electrical performance is successful and the user interface is connected, and the algorithm is appropriate, then the robot is declared complete. If the electrical, mechanical and control algorithm performance does not meet expectations, then the construction of the robot will be repeated on parts of the performance that do not function as expected. By utilizing Bluetooth media on the PS2 game pad, a forklift mechanism, programming servo angles on the claws, and a holonomic wheel system, a multi-arm manipulator can be created that has 4 degrees of freedom to move objects, namely moving forward and backward, shifting right and left, lifting. - lower the object, turn left and right. The multi-arm manipulator can be controlled wirelessly using Bluetooth technology. ABSTRAKRobot atau Manipulator manual merupakan jenis robot yang pergerakannya dikendalikan oleh manusia sepenuhnya. Pada beberapa kasus tertentu, misal pada areakerja robot yang membahayakan manusia, maka pengendalian robot manual pada jarak dekat tidak disarankan. Robot pada kasus tertentu perlu dikendalikan pada jarak menengah atau jarak jauh. Penggunaan kabel sebagai media transmisi sinyal kendali jarak menengah/jauh memiliki kelemahan pada kendali robot mobile atau robot yang posisinya dinamis berpindah-pindah tempat. Jika dikendalikan menggunakan kabel maka robot mobile manual membutuhkan kabel yang terulur panjang agar tidak dapat menghambat laju gerak robot sehingga lebih efisien jika dikendalikan secara wireless. Teknologi bluetooth dapat digunakan sebagai media transmisi sinyal kendali jarak menegah secara wireless. Tujuan dari penelitian ini adalah merancang bangun software kendali perangkat mobile multi lengan berbasis wireless. Metode penelitian dimulai dari perancangan mekanik,elektrik, interface pengguna, serta algorithma robot. Robot yang dirancang adalah robot berlengan manual yang pergerakannya daoat dikendalikan oleh perangkat antarmuka pengguna yang terhubung secara wireless menggunakan bluetooth. Setelah mendapatkan perancangan yang matang, penelitian dilakukan dengan pembuatan robot dan perangkat antarmuka. Pengujian tahap pertama dilakukan untuk menguji elektrik, mekanik robot, koneksi interface pengguna dengan robot, serta algorithma kendali. Jika kinerja mekanik-elektrik berhasil serta interface pengguna terkoneksi, dan algoritma sesuai, maka robot dinyatakan selesai. Jika kinerja elektrik, mekanik, dan algorithma kendali belum sesuai ekspektasi,maka pembuatan robot akan diulangi di bagian kinerja yang belum berfungsi sesuai ekspektasi. dengan memanfaatkan media bluetooth pada game pad PS2, mekanisme forklift, pemrograman sudut servo pada capit, serta sistem roda holonomic, maka dapat dibuat manipulator multi lengan yang memiliki 4 derajat kebebasan untuk memindahkan objek yaitu bergerak maju-mundur, geser kanan-kiri, mengangkat-menurunkan objek, berbelok ke kanan-kiri. Manipulator multi lengan tersebut dapat dikendalikan secara wireless menggunakan teknologi bluetooth.
KLASIFIKASI PENJADWALAN KERJA PERAWATAN AIR CONDITIONER (AC) MENGGUNAKAN ALGORITMA DECISION TREE (C4.5) PADA PT XYZ Bagaskara, Wisnu; Pusparini, Nur Nawaningtyas; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 10, No 1 (2024): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i1.240

Abstract

Work scheduling is an important aspect in the operational management of an organization or company. This is closely related to resource allocation, production efficiency, cost control, and quality of work results. Failure to carry out efficient work scheduling can result in various problems, such as increased production costs, lost time, or decreased productivity. There are problems in this research, including that scheduling is still prepared manually and there is no application of data mining to classify air conditioner (AC) maintenance work scheduling at PT XYZ. The aim is to reduce scheduling errors in distributing the Air Conditioner (AC) Maintenance workload and to apply the Decision Tree algorithm (C4.5). The data collection techniques used in this research were observation, interviews and literature study. The Decision Tree algorithm was used by researchers in this research. The results of the research by applying data mining can reduce scheduling errors in dividing the Air Conditioner (AC) maintenance workload and the Decision Tree algorithm (C4.5) can be applied to classify the scheduling of Air Conditioner (AC) maintenance work at PT XYZ by obtaining average results -average accuracy of 94.90%, average precision of 89.06%, and average recall of 93.17%.ABSTRAKPenjadwalan kerja adalah salah satu aspek penting dalam manajemen operasional suatu organisasi atau perusahaan. Hal ini berkaitan erat dengan alokasi sumber daya, efisiensi produksi, pengendalian biaya, dan kualitas hasil kerja. Kegagalan dalam melakukan penjadwalan kerja yang efisien dapat mengakibatkan berbagai masalah, seperti peningkatan biaya produksi, kerugian waktu, atau penurunan produktivitas. Terdapat permasalahan pada penelitian ini diantaranya adalah penjadwalan masih disusun secara manual dan belum adanya penerapan data mining untuk mengklasifikasi penjadwalan kerja perawatan Air Conditioner (AC) pada PT XYZ. Tujuannya untuk mengurangi kesalahan penjadwalan dalam pembagian beban kerja Perawatan Air Conditioner (AC) dan untuk menerapkan algoritma Decision Tree (C4.5). Teknik pengumpulan data yang digunakan dalam penelitian ini observasi, wawancara, dan Studi Pustaka. Algoritma Decision Tree digunakan peneliti pada penelitian ini. Hasil penelitian dengan menerapkan data mining dapat mengurangi kesalahan penjadwalan dalam pembagian beban kerja perawatan Air Conditioner (AC) dan algoritma Decision Tree (C4.5) dapat diterapkan untuk mengklasifikasi penjadwalan kerja perawatan Air Conditioner (AC) pada PT XYZ dengan memperoleh hasil rata-rata akurasi sebesar 94,90%, rata-rata precision sebesar 89,06%, dan rata-rata recall sebesar 93,17%.
Co-Authors . Zulfan ., Humaidi A. Khudri, A. Khudri A.A. Ketut Agung Cahyawan W Abd Karim, Rafidah Abd Wahab, Norwaliza Abdul Gafar, Abdul Abdul Rahim Abdul Wahid Abdullah Abdullah Abdullah, Muhammad Tsabbit Abdurahim, Abdurahim Achmad Yazid Sinulingga Adam, Nurul Fauziah Adamu Abubakar Muhammad Ade Davy Wiranata Ade Putra Adi Putra Adilla, Ananda Nazma Adinugroho, Billy Adisti, Dea Aditya, Muhammad Rifky Adityawan, Jonathan Adnan Hamid Adniati, Siti Afa, Musadia Afriadi Afriadi Afriani, Anindita Lintangdesi Afrinanda, Cut Agung Iriantoro AGUS KURNIA Agus Pahrudin agus tantri, dinda Agus Triyono Agustian, Ade Ahmad Fadhel Syakir Hidayat Ahmad Fauzi Furqon Ahmad Rifani Ahmad Rustan Ahmad Taufik Ahmad Yasir Sinulingga Ahmad Zaki Ahmed Fernanda Desky Aidil Amar Akhirudin, Akhirudin Akhmad Khudri Akmal, Ajmir Al Atas, Zaenal Abidin Al Muqtafi, Muhafidz Al-Fadillah, Syafira Nadia Al-Farizi, Salman Alchalil Alchalil Aldila Safitri, Anggi Alfianur Alfianur Ali Marwan HSB, Ali Ali Marwan HSB, Ali Marwan Aliasak, Mohd Hasrol Hafizz Alim, Nurmaranti Aliya, Sably Alpiani, Alpiani Ameylia Dina Hanifa Amin, Muhtar Aminuddin Aminuddin Aminuddin Ilmar Amka, Amka Amnur, Riski Amri, Asbahrul Ananda, Faisar Andi Adri Arief, Andi Adri Andi Masriah Andi Sundari Anggita, Alsyadilla Anggraini, Nabilah Tri Anhar Anhar Anis Nugrahawati Annisa Fitriana Lestari Anugraini, Asri Putri Anwar, Ihsan Aprizal Fikri Ardelia Hong Simarmata, Sonnia Ardhyan, Muhammad Zacky arham, ihsan Arhami, Arhami Ariani, Reva Aries, Muhlin Aries, Mulhin Arif, Zainul Arifin, Antoni Ludfi Arinah, Nur Arisandi, Jaga Arjal Tando Arkanudin Rizki Permono, Arkanudin Rizki Arliyanda, Arliyanda Armayani Hasibuan, Reni Ria Aryadi, Tamsir Aryanto, Tiara Nisa Asbar Asbar, Asbar Asgar, Muh Adam Asrof, Syahran Aswir, Aswir Asyrori Sidabutar, Naqasya Aulia, Irfan Noviandy Aupia, Anatun Awaliah, Rizky Awanis, Zatta Yumni Ayyub, Mukhtaram Azmi, Nurhafifi Binti Bachtiar, Dandi Badawi, Satriani Badrun Nisyam Bagaskara, Wisnu Bahri, Saiful Balkhaya, Balkhaya Balqis, Natasya Baru, Gadis Barus, Wanty Febina Benjamin, Irfan Bhaidawi, Bhaidawi Bintang Tmur Bintang, Muhammad Yuan Boer, Rino F Br Ginting, Dina Anjani Bramantika Oktavianti Budiyantara, Agus Bukhori, Bukhori Candra, Rudi Arif Chablullah Wibisono Chaerul Anwar Chairul Adhim Chandra, Rinaldi Aria Charlos, Leo Che Ghani, Nurul Farhani Chelvia, Chyndi Christofora Desi Kusmindari Cut Zahri Harus, Cut Zahri Harun Dabet, Abubakar Dana, Usman Dara, Dara Alifa Dari, Dwi Ulan Darmadi, Herry Darwin Darwin Dasuki, Mohamad Ramdon Davizan, Serry Da’im, Suli Deden Makbuloh Dedi Afandi dedi irawan Dedy Darmawan Defry Basrin Deliady, Darwin Desipradani, Gita Desky, Satria Akbar Devi Permata Sari Devi Rusvitawati Dewi, Deshinta Arrova Dewi, Novy Sartika Putri Sari Dhia, Rifqi Nadhmy Diana Diana Dicky Zuanda Atthasi, Tengku Difka Lukita Zaskia Dilla, Nur Indah Rahma Dimas Aditia Dina Novita, Dina Dio Caisar Darma Dittyata, Rizki Donna Okthalia Setiabudhi Drajat, Muhammad Agung Dwiandini, Afifah Dzikrillah, Akhmad Rizal Edi Rahman, Edi EDWI MAHAJOENO Elfiana Elfiana, Elfiana Elislah, Neli Emy Rahmawati Endra Setiawan, Endra Endrawan, I Bagus Erlani Erna Susanti Ernungtyas, Niken Febrina Ersanda, Elsha Esliani, Riski Eviani, Nanda Yuniza Fadhila Rahma, Tri Inda Fadhillah, Titania Fadli, Zen Fadraersada, Jaka Fahada, Nazli Fahriana, Nina Fahrudin Fahrudin Fais, Moh Ali Faisar Ananda Fajri, Haikal Fardiansyah, Fardiansyah Faried, Markham Farlina, Baiq Fina Fasihat, Dian Urna Fatimah Azzahra Fatina, Nadiah Nur Fatoni, Fatoni Fattah, Nazar Abdul Faturrahman Fauzan, Saniar Fauziyah, Tryana FAWZIAH, SITI APRIANI Fayardi, Alifia Oktrina Febrina, Dea Ferdian, Ahmad Alfin Fiona Fiona, Fiona Fiqgiya, Nurfatin FIRDAUSA, SARAH Firmansyah, Guntur Firmasnyah, Muhammad Anang Fithriyansya, Witro Fitri Fitri Fitri Ningsih, Fitri Fitri Yulia Fitria, Yunita Fitriadi, Nuzuli Fitriani, Endah Fridayanti, Diah Futuwwah, Ali Imaduddin Gairi, Indar Ghifari, Muhammad Reza Iqbal Ghurdi, Andi Bare Gianto Gianto Gilang, Oprin Muhammad Gilrandy, Daniel Ginting, Depi Giovani Giovani Gultom, Atikah Putri Adrilia H.P, Ghina Mangala H.P, Ghina Mangala Hadjrillah, Tjeri Hafizhah, Noor Ashma Hakim, Haikal Ibnu Hakim, Muhammad Zulfan Hakim, Syahirman Hamidi Hamidi Hanafi, Anshari Ahmad Syah Handayani, Afnita Handayani, Fitriya Hanindar, Muthia Hannum, Rika Aida Harahap, Evi Rahmadani Harahap, Hotni Sari Harahap, Juriani Harahap, Rosida Sapriani Harahap, Sutan Maradoli Harist, Abdul Harjana Harjana Harmiansyah Harwika, Harwika Hasanah, Safiratun Hasanuddin Hasanuddin Hasibuan, Mahruzar Hasny, Filza Alifah Hasrul, Muhammad Hayati, Masrura Hayatulloh, Imam Hendri, Darwin Herawati, Mimi Herdi Susanto Heri Priyanto, Heri Herlina Herlina Herlina Herlina Hidayanto, Syahrul Hidayat, Malik Hidayat, Muzahid Akbar Hidayat, Yusup Rachmat Hindun, Nurmala Huda Mubarok, M. 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Ait Novatiani Radhinda, Pitaloka Ayu Rahayu, Tuning Rahma, Putri Rahmadhany, Anissa Rahman, Alif Rahmani, Siti Rahmat Firdaus Rahmat, Alyssa Melita Rahmawati, Rahmawati Rahmiputri, Aisha Andari Raihan, Ishma Ramadan, Joeanda Bagus Ramadan, Laode Muhammad Asdiq Hamsin Ramadani, Putri Ramadhan, Muhammad Khairi Ramadhan, Risca Ariska Rambe, Novri Ramadhan Rambe, Yuskaini Hadijah Ramlee Mustapha Rasbawati, Rasbawati Rater, Salya Ratna Sary Reisa, Steffiani Renadia, Shavira Hanza Renilaili, Renilaili Reza Setiawan Riadhus Sholihin Riesardhy, Anastasia Winanti Rija'i, Hifdzur Rashif Riki Rina Shahriyani Shahrullah Rio Satriyantara Ritonga, Abdul Khusin Ritonga, Muhammad Tohir Ritonga, Rani Syahfitri Ritonga, Uba Riwandi Sihombing, Riwandi Rizal Rizal Rizhna Lia Putri Rizkal, Rizkal Rizky Ramadhan, Rizky Robbaniyyah, Nuzla Af'idatur Robbaniyyah, Nuzla Af’idatur Roland, Dicky ROMLI, MOH Rousta, Dian Royani Harahap, Nikmah Rukitasari, Lilik RULLY RULLY, RULLY Rumianti, Susti Rusdayanti Asma Rusdiah Iskandar Rusman, Arman Rustam Efendi Rustam Efendi Rustami, Erus Sa'diyah, Halimatus Sabeli Aliya Sabila, Widya Safira Hasna Safitri, Adinda Hariana Safriwardi, Ferri Sagala, Nur Fadilah Putri Sahaja, Karmila Aulia Saidah, Musfiah Saiful Bahri Sakdiah Ibrahim, Sakdiah Ibrahim salahudin, Taymi Umar Salwa Salwa Samsul Bahri Sanjaya, Muhammad Fahyu Saprijal, Saprijal Saputra, Devi Satria Saputri, Weni Sari , Wahyuni Eka Sari Harahap, Hotni Sari, Romida Rifiana Sarwo Edhy S Sasika, Archita Nuari Sastradiharja, EE Junaedi Sausan, Hany Afifah Sayuti, Akhmad Sa’diyah, Halimatus Selviyati, Selviyati Septiana, Waini Septiano, Rendi Shabrina, Nuri Shafin, Shafin Adinata Shahendra, Shahendra Shoalihin Shoalihin Shoalihins, Shoalihins Siambaton, Rindi Antika Silitonga, Agustina Verawati Silvia Damaiyanty, Ruth Silvia, Mimi Simarmata, Yohana Vanessa Rebecca Sinulingga, Ahmad Yasir Sirait, Syarif Hussein Siregar, Andi Suhendra Siregar, Padrie Payung Siringoringo, Ira Triana Siti Aulia Siti Hadijah SITI MARIAM Sitorus, Faisal Nugraha Sitti Harisah Soalihin, Soalihin Soleman, Soleman Solikin Solikin Sormin, Dinda Cantika Subandi Subandi Subhannur Rahman, Subhannur Suci Apriani Suci Lestari Sudarmanto Jayanegara Sugiono, Shiddiq Sugiyarto Sugiyarto Suhada Suhada, Suhada Suhaini, Suhaini Sukarmin Sukma Sushanti Sulastri, Eva Sulbadana Sulbadana Sulikan, Sulikan Sultan Sultan Sumarn, Sumarn Sumarni Sumarni Suparman Suparman Suprapto, Azzahra Qubais Suryatini, Ni Wayan Susanna Susanna Susanti, Hasanah Susidamaiyanti, Susidamaiyanti Suwarso, Wahyudi Wahyudi Suyanto Suyanto Syafrudin Syafrudin Syah, Muhammad Azis Syahputra, Bimo Arif Syahtua, Alfikri Syahwia, Andi Syakira, Salsabila Sapriani Syamsuddin Muchtar Syamsul Bahri Syaputra, Akmaluddin Syarizka, Deandra Syawal, Marsaa Salsabila Sya’diyah, Halimatus Syurkarni Ali Tabrani, Sayed Rafli Tamimi, Husni Tampubolon, Hatta Roma Tamsir Ariyadi Tando, Arjal Tasalim, Rian Thaariq, Dimas Ath Thaleb, M. 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