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PENINGKATAN KAPASITAS UMKM MELALUI PELATIHAN MANAJEMEN KEUANGAN DAN PEMASARAN DIGITAL PRODUK UMKM KERUPUK TIKE DI DESA DOMAS KECAMATAN PONTANG Saputra, Saripudin; Mahendra, Yoga; Permata, Nuniek; Alamsyah, Alamsyah; Diantoro, Eman
Batara Wisnu : Indonesian Journal of Community Services Vol. 4 No. 3 (2024): Batara Wisnu | September - Desember 2024
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bw.v4i3.273

Abstract

This study aims to enhance the capacity of micro, small, and medium enterprises (MSMEs) producing kerupuk tike in Domas Village, Pontang District, through training in financial management and digital marketing. Based on the background, MSMEs in the village face challenges in effective financial management and marketing. The method used involves interactive training and mentoring, which are expected to improve the participants' knowledge and skills. The research results show a significant increase in financial management understanding, with participants’ knowledge rising from 30-40% to 70-80% after the training. Additionally, the use of social media and e-commerce platforms successfully increased average monthly sales from IDR 1,500,000 to IDR 3,500,000. Participants' motivation to develop their businesses also improved, as indicated by an increase in monthly transactions from 15 to 30. Despite challenges in consistently applying the learned skills, the need for long-term mentoring is crucial to ensure the sustainability of the taught methods. In conclusion, this community service activity positively impacts the MSMEs in Domas Village, with capacity improvements that can support their future business success
Peningkatan Keterampilan Membaca dan Menulis Anak-Anak Desa Melalui Program Literasi Interaktif Dalle, Ambo; Alamsyah, Alamsyah; Setialaksana, Wirawan; Burhamzah, Muftihaturrahmah; Amir, Johar
INOVASI: Jurnal Hasil Pengabdian Masyarakat Vol 4, No 2 (2024): INOVASI: Jurnal Hasil Pengabdian Masyarakat
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/inovasi.v4i2.68326

Abstract

Abstrak. Program peningkatan minat baca ini bertujuan untuk meningkatkan minat dan keterampilan literasi anak-anak melalui pendekatan interaktif dan kolaboratif. Kegiatan rutin membaca bersama menunjukkan dampak positif, terutama pada peningkatan partisipasi aktif, keterlibatan emosional, dan kepercayaan diri anak-anak. Sesi diskusi setelah membaca cerita juga membantu mengasah kemampuan berpikir kritis dan membangun empati melalui pertukaran perspektif. Program ini memanfaatkan media interaktif, termasuk papan cerita dan aplikasi digital berbasis permainan, yang terbukti meningkatkan pemahaman kosakata dan daya ingat. Selain membaca, anak-anak diajak untuk menulis cerita pendek sebagai sarana mengekspresikan kreativitas dan emosi. Tantangan dalam program ini, seperti perbedaan tingkat kemampuan literasi dan keterbatasan perangkat digital, diatasi melalui pengelompokan peserta dan pemanfaatan media fisik. Dampak positif juga terlihat pada orang tua dan masyarakat yang semakin mendukung kegiatan literasi di rumah dan desa. Evaluasi menunjukkan bahwa pendekatan ini efektif dalam meningkatkan minat dan kemampuan literasi di daerah dengan akses terbatas, dengan rekomendasi penguatan dukungan teknologi dan pelatihan fasilitator untuk keberlanjutan program. Kata Kunci : Minat Baca, Literasi Anak, Pendekatan Interaktif, Media Interaktif, Diskusi Kelompok, Pemahaman Bacaan, Program Literasi, Keterlibatan Emosional, Kreativitas, Masyarakat Desa
Machine Learning-Based Malicious Website Detection Using Logistic Regression Algorithm Pastika, Puan Bening; Alamsyah, Alamsyah
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.11844

Abstract

Cybercrime is an increasing threat that occurs while exploring the internet. Cybercrime is committed by cybercriminals who exploit the web's vulnerability by inserting malicious software to access systems that belong to web service users. It is detrimental to users, therefore detecting malicious websites is necessary to minimize cybercrime. This research aims to improve the effectiveness of detecting malicious websites by applying the Logistic Regression algorithm. The selection of Logistic Regression is based on its ability to perform binary classification, which is important for distinguishing between benign and potentially malicious websites. This research emphasizes a preprocessing stage that has been deeply optimized. Data cleaning, dataset balancing, and feature mapping are enhanced to improve detection accuracy. Hybrid sampling addresses data imbalance, ensuring the model is trained with representative data from both classes. Experimental results show that the Logistic Regression implementation achieves an excellent level of accuracy. The developed model recorded an accuracy of 92.60% without cross-validation, which increased to 92.71% with 5-fold cross-validation. The novelty of this research lies in the significant increase in accuracy compared to previous methods, demonstrating the potential to improve protection against malicious website threats in an increasingly complex and risky digital environment. This research makes an important contribution to the development of digital security detection technologies to address the ever-growing challenges of cybercrime.
STRATEGI KOMUNIKASI DIGITAL BANK BCA DALAM MENSOSIALISASIKAN AMAN TRANSAKSI PERBANKAN UNTUK MENGHINDARI KEJAHATAN CYBER CRIME Rhamadhan, Mohammad Ryan; Bachtiar, Alfan; Barizki, Rezzi Nanda; Desilawati, Nur; Alamsyah, Alamsyah
KOMUNIKATA57 Vol 5 No 2 (2024): KOMUNIKATA57
Publisher : FISIP IBI-K57 Prodi Komunikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/kom57.v5i2.1525

Abstract

Sosialisasi transaksi perbankan yang aman untuk menghindari kejahatan siber serta mengetahui cara mengatasi kejahatan siber dan menemukan kendala dari strategi yang diterapkan oleh Bank BCA. Subjek penelitian ini adalah staf Bank BCA dan nasabah Bank BCA yang menjadi korban kejahatan siber, karena peneliti ingin mengetahui strategi yang telah dilakukan oleh Bank BCA dan cara pencegahan serta penanganannya. Metode penelitian yang digunakan adalah metode deskriptif kualitatif. Teknik pengumpulan data yang digunakan adalah wawancara mendalam, observasi, dan dokumentasi. Penentuan informan kunci menggunakan teknik purposive sampling. Teknik analisis data yang digunakan adalah reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian mengungkapkan bahwa 7 informan kunci dari staf Bank BCA dan nasabah Bank BCA yang terdampak kejahatan siber menunjukkan pentingnya kesadaran data pribadi yang bersifat rahasia. Faktor pendukung termasuk peran aktif staf Bank BCA, adanya kampanye "Tolak Dengan Anggun," serta penggunaan media sosial secara bijak. Sementara itu, faktor penghambat berasal dari nasabah yang apatis, kesulitan dalam teknologi, banyaknya nasabah yang sudah berusia lanjut, dan kurangnya pengetahuan. Kesimpulan dari penelitian ini adalah betapa pentingnya strategi digital yang diterapkan oleh Bank BCA dalam menangani dan mengurangi jumlah kasus kejahatan siber di Indonesia, serta upaya Bank BCA untuk meningkatkan infrastruktur keamanan digital dan melindungi data nasabah.
Penimbunan Barang Perspektif Filsafat Hukum Islam Musyahid, Achmad; Alamsyah, Alamsyah; Madjid, Sitti Saleha; Rufaida, Erty Rospyana
Jurnal Hukum Ekonomi Syariah Vol 7, No 01 (2023): Juni 2023
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/j-hes.v7i01.11201

Abstract

The Al-Qur'an provides freedom in trade which is marked by the concept of buying and selling. However, this buying and selling is sometimes tainted by the behaviors of individuals or groups who hoard goods which cause instability in the economy which results in crises and even inflation. This is none other than to get a big advantage. The seller of the goods deliberately keeps the goods and will sell them when the price of the goods rises. Therefore, in carrying out trading business activities or in all other forms of seeking sustenance, it must be carried out with a fair concept, not in a way that harms only one party or benefits only one party, but must be based on the way that Allah swt. pleased. This study aims to find out the basic concept of hoarding of goods (Ihtikâr), to know the concept of hoarding of goods from the perspective of Islamic legal philosophy, and to be able to find out the things that are a factor in the occurrence of hoarding of goods (Ihtikâr). The methodology used by researchers is descriptive qualitative method. With an approach to the philosophy of Islamic law. The results of the study show that hoarding of goods is basically prohibited or unlawful. Whereas in the perspective of Islamic legal philosophy with the concept of Mahasin al-ahkam or mazaya al-ahkam (the virtues of Islamic law) and Thawabi al-ahkam (characteristics of Islamic law) arising from the hoarding process, the law changes to be permissible with considerations for the benefit of the ummah, one one of them is the stockpiling of basic commodities carried out by Bulog by preparing food reserves when a staple food crisis occurs and maintaining market price stability.
Validitas Video Pembelajaran dengan Aplikasi Capcut pada Materi Sholat Kelas VII Alamsyah, Alamsyah; Maulana, Andin Muhammad
YASIN Vol 4 No 6 (2024): DESEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/yasin.v4i6.4148

Abstract

The validation process is needed to ensure that the learning video has quality and accuracy in delivering the material. This study focuses on developing an animated video about prayer practice aimed at class VII students, utilizing the Capcut application as a creation tool. The method used is Research and Development (R&D) with a 4D approach which only includes three stages, namely: Define, Design and Development. Video quality validation was carried out by four experts, consisting of two material experts and two media experts. The assessment results show that the video obtained an average score of 133 with a feasibility percentage reaching 73%, indicating that this media is very suitable for use in learning as an interesting and effective tool.
C4.5 Algorithm Optimization and Support Vector Machine by Applying Particle Swarm Optimization for Chronic Kidney Disease Diagnosis Ariyanti, Lisa; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol 1 No 1 (2023): March 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v1i1.65196

Abstract

Kidneys are one of the organs of the body that have a very important function in life. The main function of the kidneys is to excrete metabolic waste products. Chronic kidney disease is a result of the gradual loss of kidney function. Chronic kidney disease occurs when the kidneys are unable to maintain an internal environment consistent with life and the restoration of useless functions. Data mining is one of the fastest growing technologies in biomedical science and research. In the field of medicine, data mining can improve hospital information management and telemedicine development. In the first stage of data mining process, data processing is done with pre-processing by handling missing values ​​and data transformation. Then, the feature selection stage is carried out using the Particle Swarm Optimization algorithm to find the best attributes. Next, it is done by classifying the dataset. The algorithm used for classification is the C4.5 Algorithm and the Support Vector Machine. Both classifications are known as algorithms that have a fairly good level of accuracy. This study uses the chronic kidney disease dataset from the UCI Machine Learning Repository. The purpose of this study was to determine the level of accuracy of the comparison between the C4.5 Algorithm and the Support Vector Machine after applying the Particle Swarm Optimization algorithm. This research increases the accuracy by 100% for the C4.5 Algorithm and 98.75% for the Support Vector Machine by using 24 attributes and 1 class attribute.
Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification Azzahrah, Diah Siti Fatimah; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol 1 No 2 (2023): September 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v1i2.66078

Abstract

Purpose: This study aims to compare algorithms to determine the accuracy of the algorithm and determine the speed of the algorithm used for diabetes classification. Methods: There are two algorithms used in this study, namely Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN). The data used is the Pima Indians Diabetes Database. The data contains 768 data with 8 attributes and 1 target class, namely 0 for no diabetes and 1 for diabetes. The dataset has been divided into 80% training data and 20% testing data. Result: Accuracy is obtained after implementing k-fold cross validation with a value of k = 4. The accuracy results show that the k-Nearest Neighbor algorithm is superior and has better quickness compared to the Probabilistic Neural Network. The k-Nearest Neighbor algorithm obtains an accuracy of 74.6% for all features and 78.1% for four features Novelty: The novelty of this paper is optimizing and improving accuracy which is implemented with by focusing on data preprocessing, feature selection and k-fold cross validation in the classification algorithm
Perbandingan Waktu Shalat Dhuhur di Masjid Subulussalam Unismuh dan Masjid Ashabul Jannah Makassar Alamsyah, Alamsyah; Nurnawaty, Nurnawaty
Jurnal Mediasas: Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Vol. 7 No. 2 (2024): Jurnal Mediasas: Media Ilmu Syariah dan Ahwal Al-Syakhsiyyah
Publisher : Islamic Family Law Department, STAI Syekh Abdur Rauf Aceh Singkil, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58824/mediasas.v7i2.179

Abstract

This study aims to analyze the differences in Dhuhr prayer times between the Subulussalam Mosque at Unismuh Makassar and the Ashabul Jannah Multimedia Mosque in Makassar City. Accuracy in prayer timing is crucial for the observance of Dhuhr prayer; however, there is a minor variation in prayer times between these two mosques. A case study approach was used, with data collection techniques including direct observation and interviews with the muezzins from both mosques. The collected data was analyzed using descriptive techniques. The results indicate that although both mosques refer to the official prayer schedule from the Ministry of Religious Affairs of the Republic of Indonesia (Kemenag RI), with the same Dhuhr time set at 12:10 PM WITA, there is a difference in the clock settings used. The Subulussalam Mosque uses a digital clock synchronized with the official schedule, while the Ashabul Jannah Mosque uses an analog clock set four minutes faster. This factor causes the Dhuhr call to prayer at Ashabul Jannah Mosque to be announced earlier than at Subulussalam Mosque. Additionally, there is variation in the interval between the adhan and the iqamah, where the Subulussalam Mosque provides a longer gap to accommodate students, whereas the Ashabul Jannah Mosque considers the needs of worshippers with limited time. The study concludes that the difference in Dhuhr prayer times between the two mosques is primarily due to differences in clock settings and usage. To address this variation, it is recommended that both mosques synchronize their clocks periodically or adopt more precise technology to ensure more consistent prayer times, thereby reducing any confusion among worshippers. [Penelitian ini bertujuan untuk menganalisis perbedaan waktu shalat Dzuhur di Masjid Subulussalam Unismuh Makassar dan Masjid Ashabul Jannah Multimedia di Kota Makassar. Ketepatan waktu shalat adalah penting dalam pelaksanaan ibadah shalat Dzuhur, namun terdapat perbedaan kecil dalam waktu pelaksanaan shalat di kedua masjid ini. Metode yang digunakan adalah pendekatan studi kasus, dengan teknik pengumpulan data melalui observasi langsung dan wawancara dengan muadzin dari kedua masjid. Data yang dikumpulkan dianalisis menggunakan teknik deskriptif. Hasil penelitian menunjukkan bahwa meskipun kedua masjid mengacu pada jadwal waktu shalat dari Kementerian Agama Republik Indonesia (Kemenag RI) dengan waktu yang sama, yaitu pukul 12:10 WITA, terdapat perbedaan dalam penyetelan jam yang digunakan. Masjid Subulussalam menggunakan jam digital yang telah disesuaikan dengan jadwal resmi, sementara Masjid Ashabul Jannah menggunakan jam analog yang disetel empat menit lebih cepat. Faktor ini menyebabkan adzan Dzuhur di Masjid Ashabul Jannah dikumandangkan lebih awal dibandingkan dengan Masjid Subulussalam. Selain itu, terdapat variasi dalam jeda antara adzan dan iqomah, di mana Masjid Subulussalam memberikan waktu lebih lama untuk memfasilitasi mahasiswa, sedangkan Masjid Ashabul Jannah mempertimbangkan kebutuhan jamaah yang memiliki waktu terbatas. Penelitian ini menyimpulkan bahwa perbedaan waktu shalat Dzuhur di kedua masjid ini terutama disebabkan oleh perbedaan dalam penyetelan dan penggunaan jam. Untuk mengatasi perbedaan ini, kedua masjid disarankan untuk menyelaraskan waktu mereka secara berkala atau menggunakan teknologi yang lebih akurat agar waktu shalat lebih konsisten, sehingga dapat mengurangi kebingungan jamaah].
The Syntax Analysis on Sentence Patterns Used in Louis Tomlinson Song Lyrics Therendy, Therendy; Masrur, Masrur; Alamsyah, Alamsyah
Ilmu Budaya: Jurnal Bahasa, Sastra, Seni, dan Budaya Vol 8, No 4 (2024): Oktober 2024
Publisher : Fakultas Ilmu Budaya Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jbssb.v8i4.15533

Abstract

Syntax is the structure of sentences, the established rules of usage for arrangement of the words of sentence into their proper forms and relation. To get more understanding about syntax, the writer presents the syntax analysis on sentence patterns used in Louis Tomlinson song lyrics with album Walls by using the theory of sentence patterns by Quirk and Greenbaum. This research also used the theory of tree diagram by O’Grady, Dobrovolsky, and Katamba to help the writer in analysing sentence patterns. In this study the writer used qualitative method. The data of this research are words, phrases, and sentences related to the analysis of sentence pattern especially in Two of Us, Defenceless, and Kill My Mind song. From the result, through the sentences selected by the writer, the writer found that the most number of the sentence pattern in Louis Tomlinson’s song lyrics is sentence pattern number 3: S + Vt + dO which is used for 5 times.
Co-Authors -, Mukharom A Fahira Nur A. Mushawwir Taiyeb, A. Mushawwir A.Paturusi, Idrus Abd. Rahman Bahtiar, Abd. Rahman Abdillah, Riza Abdirozaq, Mifta Abdul Kholiq Abdul Mujib Syadzali Abdul, Ghafur ABDULRAHMAN, DIMAS Abdurahman, Ade Irfan Abdurrahman, Ade Irfan Abidin, Muhamad Zainal Abror, Wiena Faqih Achmad Musyahid, Achmad Achmad Syarifudin, Achmad Aden Rosadi Adi, Yuanita Permata Adiningrat, Andi Arifwangsa Aditya Bimandaru Adrianton A. Afifah, Eka Nur Afrida Sary Puspita Afrilian Ardi Arus, Afrilian Ardi Afrizal Rizqi Pranata, Afrizal Rizqi Agus Hitopa Sukma Agustan Agustan, Agustan Agustina, Tin Agustinus Kali Ahdi, Hapizul Ahmad Nashir Ahmad Syarif Ahwan, M Tami Rosadi Airlangga, Gregorius Akhmad, Akhmad Al-Araf, Khairunnisa Al-Hafizh, Fadhl Aldin, Aldin Alfajry, Gefian Alfharezi, M. Salman Alfitri Alfitri Ali Akbar Amalina, Fitri Ambo Dalle Aminuyati Amiruddin Kade Ana, Ninda Ade Anantadjaya, Samuel PD Andayani, Lies Andy Alfatih Angelina, Riska Angga, Vicky Very Anggela, Anggela Anggyi Trisnawan Putra Angreany, Femmy Aniskuri, Lulu Fitria Anugrah, Dapa Putra Anwar Sadat Ardiansyah, Fahmi Arian, Vabrian Prima Dana Arif, Fathan Arifuddin, Andi Mursid Nugraha Arifuddin, Mursid Nugraha Arina Faila Saufa, Arina Faila Ariyanti, Lisa Arlian Fachrul Syahputra Aryo Nugroho Asnidar Asnidar Asri, Wahyu Kurniati Asriati Asriati, Asriati Astari, Arini Widi Astin, Widya Yulia Astrid, A Fauziah Auda, Faiz Khoir Aulia, Ahmad Bagas Aditya Ilham Awaludin, Dipa Teruna Ayatullah Harun Ayun Maduwinarti Azzahra, Marsha Azzahrah, Diah Siti Fatimah Azzura4, Nazhwa Bachtiar, Alfan Bachtiar, Fauziah Barizki, Rezzi Nanda Baso Mukhlis Bertin Ayu Wandira Bia Dwiripa Botutihe, Fauziah Budi Prasetiyo, Budi Budi Susanto BUKHORI, MOHAMMAD Burhamzah, Muftihaturrahmah Burhamzah, Rahmat Cahyani, Alviana Eka Chandra, Adi Damayanti, Amalia Damayanti, Prisila Desilawati, Nur Dewi Yuliati Dewi, Dyah Utami Dianiswara, Anggoronadhi Diantoro, Eman Djunuda, Rahmawati Dora Kusumastuti Dwi Ridho Aulianto Dwicahyo, Widhi Okfian Dwijanto Dwijanto, Dwijanto Dyah, Hapsari Ekonugraheni Edi Purwanta Efrilianda, Devi Ajeng Eka Mulyana, Eka el-Hajjami, Aicha Enda, Dedi Endang Sugiharti, Endang Eni Setyowati Erita Riski Putri Ernawati Ernawati Esti Handayani, Dwi Etin Anwar, Etin Fahmi, Yuniar Krinanda Faisal Mahmuddin Fajardini, Cahaya Tuf Fakhruddin Fakhruddin Faozi, Irfan Fatari, Fatari Fatmawati Amir Fauzan Syahru Ramadhan Febryano Manggala Putra Ferdian, Syahrul Fikri, Arif Fitriana, Susi Fitriani, Danik Florentina Yuni Arini, Florentina Yuni Fournawati, Sri Murdilah Fridayasha, Nur Furkon Sukanda, Ukon Habib Shulton Asnawi Hafidz Hanafiah Haimah, Haimah Hajra Rasmita Ngemba Hakim, M. Faris Al Hakim, Muhamad Faishol Halim, Bravura Candra Halim, Susanna Hamida Umil Khoiriyah Handarko, Jefry Latu Handayani, Dwi Esti Handayani, Tut Handoko, V.Rudy Hanum, Irma Surayya Hapsari, Dessy Purwita Hardi Suyitno Hardinata, Riyan Hari Yeni Harinurhady, Agus Hariyanti, Kiki Andes Hariyono, Hariyono Harningsih, Harningsih Haryono Rinardi Hasbullah Hasbullah Helda Syahfari Hendra Alfani, Hendra Hermansyah, Agung Hermiyanti Hermiyanti, Hermiyanti Hidasari, Fitriana Puspa Hidayat, Kukuh Triyuliarno Hijjah, Siti Dzul Hijriah, Hijriah Hiswanti Hiswanti Hitopa Sukma, Agus Husyam, Husyam I Ketut Eddy Purnama Iis Isnawati Iismayanti Ikhwani, Rodlian Jamal Ilham Insani, Muhammad Illy Yanti Imam Ahmad Ashari, Imam Ahmad Iman, Maidi Muhammad Indrajaya, Muhammad Aristo Indriani Tiara Putri, Indriani Tiara Irvani, Rodhy Irwan, Hadriani Irwanda, Andri Irzan Soepriyadi Iskandar, Muhammad Istiani, Titania Iswahyu Pranawukir Izzulhaq, Muhammad Agil J, Jusriadi Jam'an, Andi Jamal Ikhwani, Rodlian Jamaludin, Abdul Rafi Jamil Jamil Jasri, Jasri Jaya, Rahmat Jaya, Saskia Chaerunnisa Johar Amir Jonathan Irene Sartika Dewi Max Juliana Juliana Julianto, Diki Julius Bata Jumanto Jumanto, Jumanto Jumanto Unjung Jusman Mansyur Kahfi, Ibnu Kala, Charles Sambera Kamal, Saenal Kautsar, Nadafia Khair, Otti Ilham Khumaero, Latifatul Kiagus Muhammad Sobri Kumalasari, Putri Laksita Kumandang, Niti Gede Kurniawan, Diah Citra Kustiwansa, Harlian Kusuma, I Putu Arya Kusumawati, Novita Sri Laila, Rahma Larasati, Ukhti Ikhsani Lenita, Leila Anggraeni Lestuny, Carolina Lina wati Linda Firdawaty Listiyani, Melia Lumenteri, Fido Fortunatus Luthfie, Alfaiz Alafi M. Uswah Pawara Mahendra, Yoga Mahmud Mahmud Mahriani Makin, See Jong Malek, Nor Fazila Abd Mannahali, Misnah Mansyur, Saidin Marhaen Hardjo Marsiana, Siwi Martdiansyah, Martdiansyah Marwan Marwan Maryanto - MASITHA, DEWI Masrur, Masrur Maulana Maulana, Maulana Maulana, Andin Muhammad Mauridhi Hery Purnomo Mery Subito Mery Yanti Miftahul Jannah Misnan, Misnan Mochammad Mirza mubarak, azhar aras Much Aziz Muslim Muhajir, Fatimah Muhammad Alim Akbar Nasir Muhammad Aqil Muhammad Aziz Muhammad Haikal Muhammad Husni Thamrin, Muhammad Husni muhammad rizky, muhammad MUHAMMAD ULIN NUHA Muhammad, Afrizal Prasetyo Nur Muharram, Susilawati Muhlis Muhlis Muhrawati, Muhrawati Mujahida, Mujahida Mukhlas, Oyo Sunaryo Mursalin, Destrianto Muslimin, A. Mustamin, Siti Walidah Mustari, Aidynal mutiah, siti Nabiilah, Syarafina Nafi, Anan Tawazzun Nana Mulyana Nanda Barizki, Rezzi Nawangwulan, Irma M Ngesti Lestari Nita Maya Valiantien Noerlina Anggraeni Noor Jannah, Noor Novianti, Dian Noviantoro, Djatmiko Novitasari, Eni Noviyanti, Cindy Nabila Nugraha Arifuddin, Andi Mursid Nugraha, Andi Mursid Nugroho, Oskar Ika Adi Nuphanudin, Nuphanudin Nur Halimah Nuratika, Nuratika Nurdiana, Diah Nurdianti, Nunu Nurdin Zuhdi, M. Nurlela Nurlela Nurnawaty, Nurnawaty Nurul Faidah Nurulhuda, Muhammad Obing Zaid Sobir Oksapianus, David Soni P. Eko Prasetyo Paribang, Feston Sandi Pastika, Puan Bening Patrysya, Chelina Putri Permadi, Dimas Bayu Satria Permata, Nuniek Pramudya, Pahala Bima Prasetya, Agesta Citrasena Pratama, Rizka Nur Prihartini, Amelia Pugu, Dhanang Respati Puhululawa, Indriyani Pujo Hari Saputro Purwandito, Rizky Puspa Rini, Puspa Puspita Sari, Yeyen Putri, Atika Kurnia Putri, Erita Riski Putri, Rezania Novianti Putri, Rukiana Novianti Rahayu, Shinta Devi Ika Santhi Rahayuningrum, Hesti Rahmaddan, Muhammad Kevin Rahmat Dahlan Ramadhani, Fadhila Ramadhani, Rizky Raniasa Putra Ranindya Puspaning Mellaty, Ranindya Puspaning Rasyid, Anas Rasyid, Rohsita Amalyah Rasyid, Zulfaizal H.A. Ratu, Inaka Dalam Bangsa Retna Mahriani Rezzi Nanda Barizki Rhamadanty, Winda Ayu Utami Rhamadhan, Mohammad Ryan Ridwan Daud Mahande Rifan, Slamet Riri Anggriani Ririn Setyowati Riyanti, Mayang Riza Arifudin Rizana Fauzi, Rizana Rochmad - Rofik Rofik, Rofik Rohman, Shohihatur Rohmani, Muhammad Fadiel Rosalia, Hotmah Nur Rostiati Dg Rahmatu RR. Aryanti Kristantini Rudi Santoso, Rudi Rudi, Kurniawan Rufaida, Erty Rospyana Ruqaiyah, Ruqaiyah Ryfial Azhar, Ryfial S, Candra S, Ramli S, Zulfani Sa'adah, Shofi Putri Sabila, Ahda Sabrina Rocholl Safri Haliding Salam, Hisbullah Samaluddin, Samaluddin Sam’an, Muhammad Sampurno, Global Ilham Samriadi, Andi Samsir Samsir, Samsir Samsu Dlukha N Saputra, Faisal Tomi SAPUTRA, SARIPUDIN Saputro, Meidika Bagus Saraswati, Erlisa Sari , Dyan Prawita Sari, Dwi Oktaria Sari, Yenni Puspita Sartika Sartika Sayful, Sayful Sebastian, Ligal Sekarningsih, Cindra Fajar Septian, Septian Septiandani, Dian Setialaksana, Wirawan - Setijadi, Eko Shukla, Manish Simon Sumanjoyo Hutagalung Singgih Tri Sulistiyono Siregar, Rachmi Kurnia Siti Harnina Bintari SITI MAHMUDAH Siti Maziyah Sitinah, Sitinah Sitorus, Chris Jeremy Verian Slamet Widodo Sobri, Kgs. M. Sri Indrahti Sriati Sriati, Sriati St. Salehah Madjid Suandi, Fikri Suandi, Fikry Suardi Suardi Suardi, Suardi Sugianto Sugianto Sugianto, Lai Ferry Sugiarto S Sugiman Sugiman Suhaeb, Laelah Azizah S. Sukanda, Ukon Furkon Sukirman, Asrianti Sukma , Agus Hitopa Sukma Sukma, Agus Hitopa Sukma sukristyanto, Agus Sulasri, Sulasri SUMIYATI SUMIYATI Sunra, La Suntin, Suntin Sunyoto Sunyoto Supardi, Edy Surawan, Surawan Suryani, Atik Suseno, Ari Susiloputro, Agus Syahab, Husein Syahbani, Nur Lisa Syahputra, Permana Surya Syaiful Hendra Syamsu Rijal Syamsuri, Andi Sukri Syarifah Fatimah, Syarifah Syarifuddin Dollah Syarifuddin Syarifuddin Tan Suryani Sollu Taufik Hidayat Taufik Hidayat Therendy, Therendy Tiurmaida, Serepina Topanto, David Ulhaq, Muhammad Naufal Daffa Uray Gustian, Uray Urfah Atut Chosiyah Vannia, Adji Mayumi Veithzal Rivai Zainal Vember, Hilda Veybitha, Yolanda Vidyanto, Vidyanto Walid Walid, Walid Warda Warda Warjaya, Wahyu Wibisono, Tika Aryana Wicaksana, Dinar Anggit Widiargun, Diah Widjanarko Widjanarko, Widjanarko Wijaya, Vibra Wilma Prafitri Windi Nopriyanto Wira Setiawan Wiswadas, Wiswadas wukir, Iswahyu wulandari, amalia ika Wulandari, Ikrawanti Ayu Wulandari, Kevin Olyvia Yahya Nur Ifriza Yanuar Yoga Prasetyawan Yety Rochwulaningsih Yuli Rohmiyati Yuliatin yuliatin Yuliyana, Yuliyana Yundari, Yundari Yusnaini Arifin Yusnaini Yusnaini Yusuf Wisnu Mandaya Zaenal Abidin Zailani Surya, Marpaung Zakariyati, Zakariyati Zamruddin, Mardliya Pratiwi Zara Tania Rahmadi Zobir, Obing Said Zulkarnaen, Zen