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All Journal EKUIVALEN - Pendidikan Matematika Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Media Komunikasi FPIPS Torani Journal of Fisheries and Marine Science Jurnal Lahan Suboptimal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Competitor : Jurnal Pendidikan Kepelatihan Olahraga Jurnal Imajinasi LaGeografiA e-Journal Pustaka Kesehatan Disease Prevention and Public Health Journal Jurnal Kesehatan Masyarakat (IKESMA) Widyagogik : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Journal of Engineering and Management in Industrial System Jurnal Pendidikan dan Pemberdayaan Masyarakat Jurnal Keolahragaan Journal of Nonformal Education Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Business UHO: Jurnal Administrasi Bisnis REZ PUBLICA KAREBA : Jurnal Ilmu Komunikasi Sistemasi: Jurnal Sistem Informasi Share : Social Work Journal Jurnal Ilmiah Ekonomi Islam Palapa: Jurnal Study Keislaman dan Ilmu Pendidikan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Hukum Acara Perdata ADHAPER JPKMI (Jurnal Publikasi Kesehatan Masyarakat Indonesia) Turbo : Jurnal Program Studi Teknik Mesin JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam INOVTEK Polbeng - 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Diagnosis Penyakit Mental Pada Remaja Menggunakan Metode Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) : Diagnosis of Mental Illness in Adolescents Using the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) Method Widiarni , Adyah; Sarah, Siti; Astri, Rahmi Aulia; Mustakim, Mustakim
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 2 No. 2 (2022): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.625 KB) | DOI: 10.57152/ijirse.v2i2.444

Abstract

Seiring berjalannya waktu, remaja akan mengalami masa perkembangan menuju masa dewasa. Maka dalam menuju ke masa dewasa, remaja perlu dibekali baik secara mental maupun spiritual. Penyebab terjadinya depresi berkaitan dengan terganggunya fungsi manusia seperti perasaan yang sedih dan gejala penyertanya, termasuk perubahan pada pola tidur dan nafsu makan, psikomotor, konsentrasi, anhedonia, kelelahan, rasa putus asa dan tidak berdaya, serta bunuh diri. Oleh karena itu, pada penelitian ini akan dilakukan metode pengambilan keputusan untuk mengetahui gejala-gejala dan tanda awal untuk penyakit depresi atau mental health meminimalisir resiko penyakit depresi. Untuk mempermudah pengambilan keputusan dalam mendiagnosa penyakit depresi maka penelitian ini menggunakan metode SMARTER. Metode SMARTER merupakan salah satu metode pengambilan keputusan multi kriteria dengan perhitungan matematis berdasarkan pada setiap alternatif dari jumlah kriteria yang memiliki nilai bobot berdasarkan pada perhitungan ROC dimana rumus ROC ini berdasarkan dari level prioritas dari beberapa kriteria. Metode SMARTER menghasilkan nilai preferensi didapatkan berdasarkan perhitungan dan pembobotan ROC dengan nilai tertinggi pada angka 0,58 dan terendah pada angka 0,29. Untuk mengetahui nilai terbaik dilakukan perhitungan nilai sensitifitas. Nilai sensitifitas terendah dihasilkan pada nilai sensitifitas pertama dengan nilai 0,04, diikuti dengan nilai sensitifitas kedua dan ketiga berturut-turut 0,07 dan 0,42.
Rancang Bangun Sistem Informasi Pemeliharaan Alat Kantor Berbasis Web Pada Bmkg Stasiun Meteorologi Sultan Syarif Kasim Ii Pekanbaru : Web-Based Office Maintenance System Design At Bmkg Meteorological Station Sultan Syarif Kasim Ii Pekanbaru Abror, Naufal; Sri Rahayu, Dwi; Mustakim, Mustakim
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 3 No. 2 (2023): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v3i2.899

Abstract

Pemeliharaan alat adalah suatu kegiatan atau tindakan yang memastikan bahwa semua alat Selalu pada syarat baik & siap buat dipakai secara produktif & efisien. Permasalahannya saat Ini adalah Laporan pemeliharaan alat harian masih dilakukan ketik secara manual di Microsoft Word sehingga menyebabkan pembuatan Laporan memerlukan waktu yang lama dan tidak efektif,selain itu laporan-laporan pemeliharaan sebelumnya hanya berbentuk kertas yang sangat beresiko terjadinya kehilangan berkas laporan. Untuk mengatasi Permasalahan tersebut,Diterapkan Aplikasi Sistem Informasi Pemeliharaan Alat Kantor Berbasis Website dengan menggunakan Metode Object oriented analysis and design (OOAD).
Condition and Management Strategy of Coral Ecosystem in Kedindingan Island, Bontang City Samin, Andriyanto; Mustakim, Mustakim; Fitryana, Fitryana; Suyatna, Iwan; Nikhlani, Andi; Ningsih, Etik Susilowati
Torani Journal of Fisheries and Marine Science Vol. 7 No. 1 (2023): VOLUME 7 NOMOR 1, DECEMBER 2023
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35911/torani.v7i1.28282

Abstract

Kedindingan Island is one of the Marine Conservation areas in East Kalimantan Province with rich natural resource. This study aims to determine the extent of coral distribution and health, determine the health condition of live coral cover and to formulate management strategies in Kedindingan Island for the realization of sustainable coral management. The results of the analysis using Landsat 8 imagery showed live coral was 55.44 Ha in 2015 and 48.06 Ha in 2022. Love coral cover in stations 1,2, and 4 were in good category i.e. 52,53$, 53,6%, and 60,34%, respectively . whilst in station 3  31,34% was moderate category. There are three priority management strategies for coral ecosystem management in Kedindingan Island, the first is to create a team in each region consisting of policy makers, academics, and the community, the second is to increase the role of NGOs and local communities in monitoring and supervising coral ecosystems, and the third is to improve management and develop rehabilitation methods and monitor corals regularly in Kedindingan Island.
Penerapan Algoritma K-Means dan K-Medoid untuk Pengelompokkan Data Pasien Covid-19 Gurning, Umairah Rizkya; Mustakim, Mustakim
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.908 KB) | DOI: 10.47065/bits.v3i1.1003

Abstract

At the end of 2019 in Wuhan, China, a new virus was discovered, that is Corona Virus Disease 2019. This virus causes serious health problems and has been declared as pandemic since March 11, 2020. It has caused death and claimed thousands of lives. This virus spreads very quickly and in various ways such as direct contact with patients, travelers, owners of congenital diseases and many other transmissions. To suppress the spread of this virus, the government has carried out various ways such as social distancing and screening or impromptu swabs in crowded centers. Due to the many types of transmission from this virus, this research was conducted to classify Covid-19 cases in Dumai City. It is hoped that the results of this study can be used as an illustration of the grouping of Covid-19 patient data by applying K-Means and K-Medoid as a grouping algorithm based on the type of transmission, age, gender, health services and district. Based on this research, the K-Means algorithm is more optimal than K-Medoid in classifying Covid-19 patient data, especially in Dumai City. It is proven that the best DBI K-Means value is 0.139 with k = 4
Pengembangan Sistem Informasi Konversi Kelapa di Kabupaten Indragiri Hilir-Riau Adhiva, Jeni; Mustakim, Mustakim; Suryani, Penti
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.078 KB) | DOI: 10.47065/bits.v3i3.1039

Abstract

Coconut plants are very much found throughout Indonesia, especially located in Riau province, making coconut plantations an economic base, the largest coconut plantation area to be precise in Indragiri Hilir Regency which has a coconut plantation area of 501,576 hectares. The contribution of coconut plantations in Indragiri Hilir makes Indonesia as a whole as the center of the largest coconut plantations in the world. The majority of Indragiri Hilir people work as farmers. The lack of knowledge and understanding of farmers regarding the management and utilization of coconut production is one of the reasons for the lack of coconut processing business in Indragiri Hilir Regency. It is necessary to have information related to the processing of coconut derivative products. This of course can be an illustration to farmers about the benefits that farmers get when selling coconuts that have been processed into products. Based on the results of ICT Literacy processing, 83% was obtained, this shows that post-harvest information is very important about the processing and utilization of coconut plants. Therefore we need an information system that can provide information about the use or management of coconut plants and the conversion of coconut derivatives in Indragiri Hilir district.
Dimensional Data Unsupervised Learning Using an Analytic Hierarchy Process in Determining Attributes in the Classification Algorithm Putri, Shinta Ayunda; Mustakim, Mustakim
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.553 KB) | DOI: 10.47065/bits.v4i1.1752

Abstract

Systematic keyword is needed in improving the quality of higher education, one of which is the needed to increase the competence of graduates every year. In increasing student graduation, it is necessary to classify student graduation to find out whether the student is said to be on time (TW) or possibility on time (KTW) using the BPNN and PNN methods. The data used is the Alumni data of the 2013-2020 Information System study program with 7 criteria use, namely GPA, Total Credits, Number of Repetitive Courses, Taking TA Curse in Semester 7, Procrastination, Self-Confidence, and Discipline. The data obtained is then carried out in the process of sharing training data and testing data using K-Means Clustering with the aim; of getting the best accuracy results. Furthermore, the classification stage using BPNN and PNN resulted in an accuracy of 98% and 95% with learning rate of 0.125 and a spread value of 0.1
Analisis Sentimen Terhadap Publisher Rights Dalam Mengunggah Konten Digital Menggunakan Ensemble Learning Putri, Anisa; Mustakim, Mustakim; Novita, Rice; Afdal, M
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5179

Abstract

Digital content encompasses various forms of information, ranging from informative text to interactive videos. YouTube, as one of the most popular social media platforms, is widely used in Indonesia. However, the proposed Publisher Rights Bill or the Draft Presidential Regulation on the Responsibility of Digital Platforms for Quality Journalism has sparked debate. In the context of YouTube, this regulation has the potential to threaten content creators. Negative reactions from various parties highlight concerns about the impact of this regulation. Therefore, this study aims to analyze sentiment towards Publisher Rights in the uploading of digital content using an ensemble learning approach. The analysis found that 60% of the sentiment was negative, reflecting concerns about copyright, royalties, or ethical issues. A total of 32% of the sentiment was neutral, indicating uncertainty or a lack of information, and only 8% of the sentiment was positive, supporting the policy of protecting publisher rights and recognizing their value and contributions. This study employed ensemble techniques based on Bagging (Random Forest) and Boosting (Adaboost), where the accuracy of Random Forest was higher at 83% compared to Adaboost's accuracy of 68%.
Perbandingan Algoritma Linear Regression, Support Vector Regression, dan Artificial Neural Network untuk Prediksi Data Obat Putri, Suci Maharani; Novita, Rice; Mustakim, Mustakim; Afdal, M
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5184

Abstract

Regression is a crucial focus in various fields aiming to forecast future values to aid decision-making and strategic planning. Different regression algorithms have their advantages and disadvantages, and their performance can vary depending on the data characteristics. Therefore, further analysis is needed to identify the appropriate algorithm that provides the best solution for the problem at hand. This study compares three popular regression algorithms: Linear Regression (LR), Support Vector Regression (SVR), and Artificial Neural Network (ANN) to predict drug data at a pharmacy in Riau province. Currently, the pharmacy lacks an accurate method for estimating monthly drug needs, relying instead on rough estimates. This often results in either shortages or overstock, leading to losses, especially if the drugs expire. Three types of drugs, namely Amoxicillin, Antacids, and Paracetamol were selected to test the proposed algorithms. The analysis and comparison show that the SVR algorithm outperforms the others on all three drug types when focusing on the RMSE metric. However, when the focus is on the MAPE metric, the ANN algorithm proves to be superior. Although LR does not excel in any metric, all three algorithms (LR, SVR, and ANN) have MAPE values below 10%, indicating highly accurate predictions. This accuracy is evidenced by the prediction results of all proposed models, which effectively follow the patterns and trends in the actual data
Penerapan Algoritma K-Medoids dan FP-Growth dengan Model RFM untuk Kombinasi Produk Pertiwi, Tata Ayunita; Afdal, M.; Novita, Rice; Mustakim, Mustakim
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5268

Abstract

Competition in the business world has increased, resulting in companies having to optimize sales and retain their customers. Customers are an important company asset that must be well looked after. The aim of customer segmentation is to understand customer purchasing behavior so that companies can implement appropriate marketing strategies. Aurel Mini Mart is a retail business that does not yet consider the recency, frequency and monetary value of customer shopping. So far, promotions have been carried out only based on estimates, without taking into account accurate data and information. This research combines the RFM model with data mining techniques to segment customers. Based on the 5 clusters formed from the clustering process, gold customers are in cluster 1 which has high loyalty with low recency value, high frequency and high monetary value. This shows that customers in this segment often make purchases for quite large amounts of money. Meanwhile, customers in clusters 2, 3, 4, and 5 are dormant customers who rarely make transactions and the amount of money spent is also small. After the customer segmentation process is complete, the next step is to use the FP-Growth Algorithm to associate the products purchased by customers. This aims to obtain a better product combination, so that the sales strategy can be more effective and the company can make a profit.
Sentimen Analisis Social CRM Pada Media Sosial Instagram Menggunakan Machine Learning Untuk Mengukur Retensi Pelanggan F. Safiesza, Qhairani Frilla; Afdal, M; Novita, Rice; Mustakim, Mustakim
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5269

Abstract

To create and maintain a superior competitive advantage in a knowledge-based economy, businesses must be able to utilize data and manage customer relationships through the implementation of Customer Relationship Management (CRM), particularly Social CRM. Social CRM is a renewal of business strategy that is created to engage customers in a collaborative conversation and create mutually beneficial value in a trusted and transparent business environment. Seeing this development as one of the successful culinary companies in the Souvenir sector in Pekanbaru, the company must be able to process all the information obtained. Currently, the company has never analyzed comments on social media, especially the Instagram account. These comments are useful for evaluation material and can be a parameter of customer satisfaction and to see the potential for customer retention. To assess positive and negative comments on the Instagram account, sentiment analysis can be carried out using machine learning, namely 3 classification algorithms, namely Naive Bayes Classifier (NBC), Support Vector Machine (SVM) and Random Forest (RF). The sentiment results show that the SVM and NBC algorithms obtain the best accuracy of 74.26% compared to RF, and the results of the social CRM analysis show that customers are more satisfied with the company in terms of products, services, and actions taken by the company, so that the company is considered capable of retaining its customers.
Co-Authors . Ishomuddin A'yunin, Elia Nur A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Abda Abda Abdi Negara Abdillah, Fardan Abdul Fattah Abdul Fattah Abdul Hadid abdullah, akhyar abdullah, akhyar abdullah, akhyar abdullah, akhyar Abror, Naufal Achmad Abubakar Adan, Ingrid Ayu Lestari Ade Rahmat, Ade Adelina Hasyim Adhiva, Jeni Adi Isma Adnan Adnan Adrian Adrian Adrianton Adrianton Aedah, Nur Afandi, Rival Agustien Lilawati Agustina AH. Asari Taufiqurrohman Ahirudin, Idul Ahmad Izzuddin Ahmad Muzaki Ahmad, Hariadi Aidillah Amri Lubis, Wahdan Aini, Delvi Nur Akmalia Putri, Fina Al Ayubi, Moch T A Ali Akbar Ali Rosidi ALI YUSUF Ali, Akbar Aliffiani, Siti Almin, Muh. Robil Amin, Novi Nurul Andi Nikhlani Andriawan, Ahmad Rizky Andriyani Andriyani Anha, Hamna Anhar, Mujahid Anisa Anisa Anisa Putri anne Hafina, anne Ansar, Zulfitrah Anugrah Puspita Ayu Muhammad Anwar Syahputra, Syofyan ANWAR, DEDY Aprilia, Ira Aprilla, Tyas Aprillia, Tyas Ardjanhar, Asni ARIASIH, ARUM Ariasih, Rr Arum Arif Marsal Ariyanti, Dyah Ariyanti, Fajar Arumsari, Imas Asbar Asbar, Asbar Asharah, Dina Asnawi , Meinarni Asni Asni Asrianto, Rudy Asrianto Asrori, Tamam Assiddiq, Muhammad Azwar Astri, Rahmi Aulia Astri, Zul Astuti, Farida Herna Aswar Aswar Atiqa, Nur Audina, Ayu Ayu, Dewi AYU, GLADIS Azlan, Azlan Azzahra, Aura Baharuddin, Andi Farid Baiq Sarlita Kartiani, Baiq Sarlita Kartiani Balkis, Ratu Batubara, Ana Uzla Baya, Nur Berlian Berlian Chasanah, Nur Fitria Ulfa Cholidi Cholidi Dani Hari Tunggal Prasetiyo Danial, Adang Darmadi, Herry Darmawan Darmawan Dayati , Umi Dewa Bagus Sanjaya Dewi Mustika Dewi Purnama Sari Dewi, Bela Purnama Dewi, Luh Yuliani Dewi, Luthfia Djoko Wahyudi Dwi Hastuti Dwi Iryaning Handayani Dwynne, Zaira Cindya Dwynne ELIHAMI, ELIHAMI Elsye Souvriyanti, Elsye Ependi, Edi Eriany, Eriany F. Safiesza, Qhairani Frilla Fadhilah, Faiz Fadila Fadila, Fadila Fadloli, Ahmad Siraj Fadly, Imam Faisal, Fahikra Fandi Ahmad Faradina Zevaya Fardan Abdillah M Farhan, Hamim Farida Farida Fathurrahman Fathurrahman Fauziyyah, Aisyah Nur Febi Nur Salisah Febrianti, Thresya Fhadli Noer, Fhadli Fidela, Mia Finasti, Finasti Fiqhuddin, Moh Agung Firda Firda Firman Firman Fitri, Li Idi'il Fitria, Cut Fitriah, Ma’idatul Fitriah Fitryana, Fitryana Ginting, Maulidna Giopani , Luna Aliska Giopani Gultom, Golfrid Gunarti Dwi Lestari Gurning, Umairah Rizkya Hadi, M. Samsul Hafan Sutawardana, Jon Hamka Ilyas Hamna, Hamna HANDARI, TRI Hanifah, Nida Hardiani . Hari Prihanto, Purwaka harni harni, harni Hartati Hartati Hartati, Aluh Hartono Hartono Harwan Harwan Haryono Haryono Hasan Hasan Hasbullah Hasbullah Hasia Marto Hasrudin, La Ode Hasrullah Hasrullah, Hasrullah Hayatudin Hayatudin Herdiannisa, Zahra Adinda Herwina, Wiwin Herwina, Wiwin Heryanto Susilo Hidayat, Dinul Husainy, Husainy Husna, Nur Alfa I Ketut Sukarma I Nengah Suastika I Wayan Lasmawan I Wayan Suastra Ichwanul Mustakim Ida Bagus Putrayasa igam, Mingriani Ikhsani, Yulia Indria Nur Inggih Permana Insiano, Dewi Angraini Ipah Saripah, Ipah Iqrawati, Iqrawati Irfan, Ahmad Zainul Irfan, M Zainul Irmayani Irmayani Irwan Irwan Irwandi, Erno IRWANSYAH Isa, Muhammad Ikhlasul Amalsyah Ishaq , M Iskandar Iskandar Ismail Ismail Ismail Ismaya Ismaya Israyani, Israyani Istianah Surury Iswardani, Kurnia Ita Sarmita Samad, Ita Sarmita Iwan Suyatna Jabri, Umiyati Jamal Bake, Jamal Jamal Rauf Husain Jamsir Jamsir, Jamsir Jaswandi, Lalu Jaya, Nur Musfirah Jeki , Jeki Jeki, Jeki jenianti, rina Jeniska, Jeniska Jumiati Jumiati Junaidi Junaidi Juraeba, Juraeba justawan, justawan K, Dwi Putri KA Bukhori Kambolong, Makmur Karo-Karo, Justaman Arifin Kartika Nugraheni Kartini, Dwi Putri Kartini, Ragita Ayu Kasmaida kasmaida Kasmar, Kasmar Katimin, Katimin Khairul, Muhammad Fadli Khojin Supriadi, Khojin Khozin, Khozin Kisman Salija, Kisman Kurdi Kurdi Kurnia Dermawan, Aji Kurnia, Dian Kurniawansyah, Fito Cahya Kusumaningati, Walliyana Kusumastuti, Nurry Ayuningtyas Ladamay, Ode Mohamad Man Arfa legito, Legito Lestari, Danur Lin, Ming Lisa Andriani Listiani Listiani Liwaul, Liwaul Liwaul, Liwaul Loka, Septi Kenia Pita loko, joko Lukman, Mutiara Sakinah M Dyah, Mutmainnah Muinuddin M. Afdal M. Afdal, M. Afdal M. Faqih M. Fathuddin Noor, M. Fathuddin M.Pd Prof. Dr. I Nyoman Sudiana . Maemunah Maemunah Maharudin, Didy malasari, elfi Mardiana, Dhinny MARDIANI, DESIKA PUTRI Marhayudi, Putut Marlisman, Desty Pratiwi Martinus Agus S Mas Ahmad Baihaqi Mas'ud, Hidayati Masnur Masnur Mastuti, Indah Masud, Anis Anshari Maulidi, M. Irfan Maulidzam, Khofan Mediaty Meliana Meliana Melkisidik, Melkisidik MH, Nurdin Mirna Apriani Mirnandaulia, Meutia Mizna Sabilla Moh Nurul Qodir Moh. Erkamim Mohamad, Abdul Basir Bin Mohamed, Suziyani Muchsin, Muhamad Muh Yusuf Muh. Jabir Muhammad Basri Muhammad Farhan Muhammad Muhibbi Muhammad Natsir Muhammad Riza Muhammad Rusdi Rasyid MUHAMMAD SAID Muhammad Taufiq Muhammad, Gazali Mujiburrahman Mujiburrahman Mujiono Mujiono Muliyati, Muliyati Munir Munir, Munir Munzir, Medyantiwi Rahmawita Murtaqib Murtaqib Musayyachah, Musayyachah musdalifah, sitti Mustakim, Ichwanul Mustari, Sri Hariati Mutmainnah Mutmainnah Nadir, Nadya Adillah Najamuddin Najamuddin, Najamuddin Najamuddin, M. Najwa, Lu'Luin Ni Made Sulastri Ni Wayan Widya Astuti Ningsih, Etik Susilowati Noor Dwi Kusuma Dewi, Indah Novianti Novianti Nugraha, Andhika Ghalyh Nunung Cipta Dainy Nur Eni Katmas Nur Insani Nur Khasanah NUR SELO WASI, NUR SELO Nur Siti Marchamah, Dwi Nur, Ahmad Ali Nurabdiansyah, Nurabdiansyah Nurbaedah, Nurbaedah Nurdianti, Irma Nurhaliza, Nana Nurjannah Nurjannah Nurkholis Nurkholis Nursidah Kasim Nursyawal Nacing Nusantara, Widya Pangestu, Prayugo Parkhurst, Helen Parmadi Parmadi Penti Suryani Pertiwi, Tata Ayunita Pertiwi, Tata Badai Prameswari, Nadisa Ardikha Prasetya, Agil Bagus Pratiwi, Rina Sekar Purba, Darry Christine Silowaty Purwati, Ninik Endang Purwati, Ninik Endang Putri, Celine Mutiara Putri, Shinta Ayunda Putri, Suci Maharani Qodriyati, Tri 'Ulya Qomariyah, Erni Rahayu, Dwi Sri Rahim, Astari Rahima Rahima Rahmadeyan, Akhas Rahmat Siddiq, Asep Muhammad Rahmawita, Medyantiwi Ramadani, Faradila Ramadhani, Indah Ramdani, Hendi Rasyid, Muhammad Nur A. Rasyidin Rasyidin Raya Sulistyowati Rayani, Dewi Reski, Pilu Rice Novita Rini Puspitasari, Rini Riski, Pratiwi Rivo Nugroho Rizka, M. Arief Rizki Amalia ROFIK JALAL ROSYANAFI Romadhon, Muhammad Rondhianto Rondhianto Rosmiana, Sri Rosyanne Kushargina Rozanda, Nesdi Evrilyan RR. Ella Evrita Hestiandari Rufaidah, Rufaidah Rusman Efendi Rustiyan, Risma S, Galuh Arieliyna Anggraini Sadi Is, Muhamad Safitri, Annisa Apriani sahrun, sahrun Sahrun, Sahrun sahrun, sahrun Sakka Samudin Salamah, Sania Salisah, Pebi Nur Salwa, Nadalina Ghaida Sami'an, Sami'an Samin, Andriyanto Sampurno, Andhika Sari, Cut Putri Melita Sari, Shintya Terisna Sari, Windy Junita Sartono Sartono, Sartono Sedana, I Made Selamet Rahmadi Shadiq, Ja'far Sidek, Muhammad Silalahi, Meriahni Siti Hodijah Siti Maimunah Siti Rohimah Siti Sarah, Siti Siti Syahidatul Helma Soedjito Soeparman Sofiany, Intan Rosenanda Solikhin Solikhin Solly Aryza Sri Wulandari Suarti, Ni Ketut Alit Sugianto, Dedi Suhaimi Suhaimi Suhandini T.J, Yustina Suharjo, Imam Sukman S Sulfanita, Andi Sunarto Sunarto Sunyoto, Andrik Supriyono Supriyono Surachman Surachman Surahman Amin, Surahman Suryani Suryani Suryodinoto, Muh. Melyo Susanto , Shobri Firman Susanto, Shobri Firman Sutarto Sutarto Sutinah Made, Sutinah Suwitra, I Ketut Suwitra, I Nyoman Syabil, Irfan Syakura, Abd Syamsiar, Syamsiar Syamsu Yusuf Syaputri, Astia Weni Syarfi Aziz Syifaul Janan T, Nurfadila Takdir Takdir, Takdir Tantra, Kadek Mas Tarigan, Enda Rasilta Tarmizi Abbas TATI NURHAYATI Taufiq Taufiq Tempo, Jesika Irena Gabela Thamrin Gama, Muh Tina Susanti Tjahjaningsih, Yustina Suhandini Tri Prihatiningsih Tuhfatul Janan Udiarto, Bagus K Ulfa, Fara Ulfiana , Umaya Usman Made Utha, Arifin wa yanti, wa yanti Wahyudi Winarjo, Wahyudi Wathan, Lalu Elgi Hizbul Wawuru, James Van Alex Wibisono, Yudistira Arya Wicaksono6, Febri Widiarni , Adyah Widiastuti, Fitri Widyaswari, Monica WIWIN YULIANINGSIH Yanti Komala Sari Yazika Rimbawati Yogaswara, Andre Yus Darusman, Yus Yustina Suhandini Tjahjaningsih Yuyun Wahyuni Zahro, Siti Fatimatus Zakariyah, M Fahmi Zarkasih Zarkasih Zarnelly Zarnelly Zharvina, Nihlah Zharvina Zulfikar.Z Zulgani Zulgani Zulkifli Rangkuti Zusyah Porja Daryanto