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Juridical Analysis of Khamar Crimes in the Perspective of Aceh Qanun Number 6 of 2014 Concerning Jinayah Mustakim, Mustakim; Riza, Muhammad
LAW & PASS: International Journal of Law, Public Administration and Social Studies Vol. 1 No. 2 (2024): June
Publisher : PT. Multidisciplinary Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/lawpass.v1i2.11

Abstract

Historical developments in the prohibition of alcohol in Aceh refer to Islamic Sharia which firmly and clearly prohibits and forbids alcohol for all Muslims. Because one of the maqashids of Sharia is to maintain reason, Islamic Sharia strictly prohibits this. The prohibition on alcohol is sharia in the Al-Qur'an and Hadith. The punishment in Aceh is to implement Islamic Sharia as a whole (kaffah), by applying Islamic Sharia in various aspects of life, including in this case applying the punishment of caning to perpetrators of the crime of drinking wine. Caning is used as a crime with the aim of fostering and educating perpetrators to be aware and regret their actions and also as a lesson (tadabbur) to society so that they do not commit the same actions.
ANALISIS IMPLEMENTASI APLIKASI MOBILE SYSTEM PADA SISTEM INFORMASI MANAJEMEN DI RUMAH SAKIT UMUM DAERAH (RSUD) BUDHI ASIH Safitri, Annisa Apriani; Mustakim, Mustakim
Jurnal ARSI : Administrasi Rumah Sakit Indonesia Vol. 10, No. 2
Publisher : UI Scholars Hub

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

Abstract

Hospital Information System (HIS) or Hospital Management Information System (SIMRS) is important in supporting the entire hospital process through information technology. Budi Asih Regional Hospital has a Hospital Information System in its management but still has various issues and challenges in its implementation. This study uses qualitative methods, informant selection with purposive sampling, and data collection techniques through in-depth interviews, observations, and document analysis. Information systems are part of organizational resources for decision-making regarding leadership needs. The Management Information System must be designed by considering data architecture including automated codification in an integrated manner such as statistics, mapping for further management that plays a role in all hospital service functions ranging from queue management, registration, discharge patient services, and other hospital service processes. The concept of a clinical information system is an interaction between patients and health workers in the context of service. Information data issued by the Hospital Information System unit is related to increasing the effectiveness of services and improving health services. Aspects that must be considered in the development of a Hospital Information System, such as hardware, software, and network devices, which must constantly be developed, maintained, and maintained periodically to provide convenience in producing information data for hospital management to determine policies taken by management in improving health services.
Variation of Agitator Blades in Continous Settling Tank to Reduce Oil Losses in Oil Refining Process in Palm Palm Factories Darmadi, Herry; Mustakim, Mustakim; Irwansyah; Wawuru, James Van Alex; Ginting, Maulidna; Prasetya, Agil Bagus
Jurnal Inotera Vol. 9 No. 2 (2024): July - December 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss2.2024.ID351

Abstract

Continuou Settling Tank (CST) is one of the units located at the clarification station where the CST works to separate oil and mud based on differences in specific gravity where the lighter density will go up, namely oil, while the heavy type will settle to the bottom, namely mud. The language here is how to make the construction of the agitator transmission in the Continuou Settling Tank (CST) unit and how the agitator blade influences the oil content contained in the sludge in the Continuou Settling Tank (CST) unit. The method is carried out with variations in the number of blades that open 2, 4 and 6 pieces. The specifications of the equipment data obtained are primary data resulting from the design of the Continuou Settling Tank (CST) tool. Based on the blade obtained two results the percentage of oil content of 10.85%. This shows that there is still oil content in the mud. Likewise, the blade that found four pieces was 8.678%. While on the blade that got six pieces, the average percentage of oil was 7.652%. This shows that the blades that have been opened six pieces have met the desired percentage of oil standards.
Specialised English: New Directions in ESP and EAP Research and Practice by Ken Hyland & Lillian L.C. Wong (2019): Routledge MUHAMMAD, Anugrah Puspita Ayu; MUSTAKIM, Mustakim
Research and Innovation in Applied Linguistics Vol. 1 No. 1 (2023): [February]
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/rial-ej.v1i1.3749

Abstract

The Book “Specialised English: New Directions in ESP and EAP Research and Practice by Ken Hyland & Lillian L.C. Wong (2019): Routledge” is a must-read book for ESP and EAP researchers and practitioners. It consists of three main sections: 1) conceptualizing issues in specialized language use (five chapters), 2) focusing on texts (six chapters), and 3) focusing on practice (six chapters). This book addresses some challenges in teaching and researching ESP courses across disciplines (Enesi et al., 2021). For example, contextualizing ESP teaching as “workplace English” is currently demanding, thus allowing ESP curriculum developers to formulate and infuse English materials in the workplace (V. K. Bhatia & Bremner, 2012).
Naïve Bayes Algorithm for Classification of Student Major’s Specialization Syaputri, Astia Weni; Irwandi, Erno; Mustakim, Mustakim
Journal of Intelligent Computing & Health Informatics Vol 1, No 1 (2020): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v1i1.5570

Abstract

Majors are important in determining student specialization. If there is an error in the direction of the student, it will certainly affect the education of subsequent students. In SMA Negeri 1 Kampar Timur, there are two majors, namely Natural Sciences and Social Sciences. To determine these majors, it is necessary to reference the average value of student grades from semester 3 to semester 5 which includes the average value of Islamic religious education, Indonesian, Citizenship Education, English, Natural Sciences, Social Sciences, and Mathematics. Naive Beyes algorithm is an algorithm that can be used in classifying majors found in SMA Negeri 1 Kampar Timur. To determine the classification of majors in SMA Negeri 1 Kampar Timur, training data and test data are used, respectively at 70% and 30%. This data will be tested for accuracy using a confusion matrix and produces a fairly high accuracy of 96.19%. With this high accuracy, the Naive Bayes algorithm is very suitable to be used in determining the direction of students in SMA Negeri 1 Kampar Timur.
SOSIALISASI PERILAKU MENYIMPANG BAGI REMAJA PUTUS SEKOLAH DI DESA BATU JANGKIH Jaswandi, Lalu; Kartiani, Baiq Sarlita; Mustakim, Mustakim; Irfan, M Zainul
Jurnal Dedikasi Madani Vol 3, No 2 (2025)
Publisher : Fakultas Ilmu Pendidikan dan Psikologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jdm.v3i2.14242

Abstract

Perilaku menyimpang adalah segala perilaku yang bertolak dari suatu tindakan yang bukan rata-rata atau perilaku yang jarang dan tidak sering dilakukan. Perilaku Menyimpang di kalangan Remaja merupakan bagian dari kemerosotan Moral dan kurangnya keberfungsian keluarga/orang tua dalam mendidik dan membesarkan anak-anaknya.Anak Remaja merupakan masalah utama yang dihadapi oleh orang tua. Untuk mengadapi hal tersebut, seluruhnya tergantung pada posisi bagaimana orang tua mengawasi anak-anaknya. Ketika ornag tua tdk bia mendampingi anaknya maka kemungkinan terburuknya lingkungan sekitar akan mempengaruhi kepribadian anak tersebut. Maka dari itu, kegiatan Sosiosialisasi ini diharapkan mampu memberikan kesadaran dan meningkatkan pengetahuan akan bahaya dari merokok, ngelem dan minum-minuman keras. Selain itu perlunya ada kegiatan rutin yang sifatnya kreatif dan menyenangkan bagi anak-anak remaja bulakindo agar bisa aktif dan tidak terkena imbas negative perkembangan zaman. Kegiatan kesenian dan olahraga dapat diterapkan untuk menggali jiwa inovatif dan kompetisi dari pemuda untuk membangun rasa percaya diri mereka.
Adolescents' Unhealthy Eating Behavior and Customer Engagement on Social Media in Sub-Urban Areas: Adolescents’ Unhealthy Eating Behavior and Customer Engagement on Social Media in Sub Urban Areas A'yunin, Elia Nur; Mustakim, Mustakim; Arumsari, Imas
Amerta Nutrition Vol. 8 No. 4 (2024): AMERTA NUTRITION (Bilingual Edition)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v8i4.2024.549-556

Abstract

Background: Social media exposure is one of the effective strategies for digital marketing of food and beverage products in this present era. In addition, adolescents are the dominant users of social media (75.5%), which affects their behavior and health status. Objectives: This study aimed to describe adolescent eating behavior and customer engagement with food, beverage, and drink-related content on social media in sub-urban areas and to analyze the relationship with their eating behavior. Methods: The procedures were carried out using a descriptive observational method with a cross-sectional approach at SMA XX in the sub-urban areas in Depok City. The participants comprised class X aged 15-16 years (n=277) who were selected using the total sampling method. In addition, adolescents' healthy eating behavior was measured by AFHC (Adolescent Food Habits Checklist). The data obtained were then analyzed using an independent T-test with a Confidence Interval (CI) of 95%. Results: The results showed that the majority of the participants had unhealthy eating behavior. In addition, two aspects of customer engagement behavior showed a significant relationship with healthy eating in adolescents. This behavior includes liking and commenting on food and drink advertisements/promotions on social media (p-value=0.051), sharing, reposting, or tagging someone in food and drink content, reviews of places to eat, or viral food trends (p-value=0.025). Conclusions: Customer engagement on social media significantly affected eating behavior of adolescents in sub-urban areas, particularly behavior of liking and sharing/reposting food adverts.
IMPLEMENTASI KEBIJAKAN BUMD BANK PAPUA UNTUK PENINGKATAN PENDAPATAN ASLI DAERAH PROVINSI PAPUA Mustakim, Mustakim; Asnawi , Meinarni; Aedah, Nur
JURNAL KEBIJAKAN PUBLIK Vol 7 No 2 (2024)
Publisher : Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jkp.v7i2.4425

Abstract

This research aims to examine and analyze the Implementation of Regional Owned Enterprise Policy in Increasing Original Regional Income in Papua Province. As well as reviewing and analyzing supporting and inhibiting factors for the implementation of Regional Owned Enterprise Policy in Increasing Original Regional Income in Papua Province. This research is important to optimize the role of BUMDs such as PT. Bank Papua in increasing Papua's Original Revenue for sustainable development. This research uses a qualitative research approach with the research location at PT. Bank Papua Papua Province. Data collection techniques are observation, interviews and documentation. Data analysis techniques are data reduction, data presentation, and drawing conclusions. The results of this research show that the implementation of the Regional Owned Enterprise Policy in Increasing Original Regional Income in Papua Province, researchers found that, Communication, implemented by the Papua regional government, can have a positive impact. Resources, adjust the amount of funds available or implement according to the amount of funds available. Disposition, source of income so that it can cause less than maximum results. Bureaucratic structure, agencies have obligations and responsibilities, and everything is carried out well by stakeholders as users. Supporting and Inhibiting Factors for Implementing Regional Owned Enterprise Policy in Increasing Original Regional Income in Papua Province, researchers found that, Internal factors, regional income from optimization efforts to extract large sources of income with good management. External factors, minimal control and supervision from PT. Papua Bank.
Perbandingan Performa Algoritma NBC, C4.5, dan KNN dalam Analisis Sentimen Masyarakat terhadap Krisis Petani Muda pada Media Sosial Facebook Nurkholis, Nurkholis; Permana, Inggih; Salisah, Febi Nur; Mustakim, Mustakim; Afdal, M
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6082

Abstract

In Indonesia, young farmers face various challenges and crises that hinder the growth and sustainability of the agricultural sector. They face obstacles such as lack of access to capital, limited technology, climate change, and low selling prices for their crops. In addition, they also often face problems in obtaining accurate and relevant information in an effort to facilitate better decision-making in agricultural businesses, so that the interest of young people today to become farmers is decreasing. The study aims to Compare the Performance of NBC, C4.5, and KNN Algorithms in the Analysis of Public Sentiment towards the Young Farmer Crisis on Facebook Social Media. The application of the K-Fold Cross Validation method is (K = 10). Sentiment analysis is carried out with 3 labels (positive, negative, and neutral). The data used in making the classification model (data from preprocessing the stemming column) using (Google Colab) amounted to 4,878 data with Positive sentiment of 43.13% (2,104), Neutral 39.59% (1,931), Negative 17.28% (843) from the initial data without nested comments, which is 4,981 and the total number of Facebook data is 2,900 likes, 6,700 comments, and 3.3 million viewers. The accuracy of the NBC algorithm is 57.32%, the C4.5 algorithm is 98.42%, and the KNN algorithm (K = 19) is 97.33%. It can be concluded that the results of the comparison of the performance of the three algorithms using (Rapidminer10.3), the C4.5 algorithm gets a higher accuracy of 98.42% and is superior because it produces a decision tree.
Perbandingan Algoritma Support Vector Machine dan Naïve Bayes dalam Menganalisis Sentimen Pinjaman Online di Twitter Ikhsani, Yulia; Permana, Inggih; Salisah, Pebi Nur; Mustakim, Mustakim; Rozanda, Nesdi Evrilyan
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6106

Abstract

Unemployment is one of the poverty factors in society, the large economic needs make it difficult for people to meet their daily needs, thus triggering high demand for loans in society. With the advancement of technology, online loans are now available to help people meet their economic needs. However, over time, many irresponsible parties have taken advantage of this. Marked by the emergence of many illegal online loans, which have triggered negative impacts such as the spread of customer personal data, terror on social media, to debt collection using debt collectors. So that it raises a lot of sentiment in society regarding online loans. For this reason, it is necessary to conduct a sentiment analysis with the aim of public response to online loans, which can be positive, negative or neutral responses. There are two datasets used, namely legal online loans and illegal online loans. This study uses two algorithms, namely SVM and Naive Bayes, the two algorithms will be compared to find out which algorithm is better at analyzing online loan sentiment. In addition, in its use, the two algorithms will also use the SMOTE technique to stabilize the data. The results obtained on legal loan data classification using SVM are quite better than Naive Bayes, with an accuracy rate of 69% with sentiment that often appears is positive sentiment. For illegal loan data, classification using the Naive Bayes algorithm is better than SVM with an accuracy of 75% and sentiment that often appears is neutral sentiment. Based on these results, it can be concluded that in analyzing sentiment using legal loan data, the best algorithm is the SVM algorithm, and for illegal loan data, the best algorithm is the Naive Bayes algorithm.
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