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All Journal Niagawan Journal of Geoscience, Engineering, Environment, and Technology IJEBD (International Journal Of Entrepreneurship And Business Development) Pendas : Jurnah Ilmiah Pendidikan Dasar Cetta: Jurnal Ilmu Pendidikan JURNAL PENDIDIKAN TAMBUSAI Ensiklopedia of Journal Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Review Pendidikan dan Pengajaran (JRPP) SULTANIST: Jurnal Manajemen dan Keuangan International Conference of ASEAN Prespective and Policy (ICAP) Jurnal Pengabdian Harapan Ibu (JPHI) Management Studies and Entrepreneurship Journal (MSEJ) JTIK (Jurnal Teknik Informatika Kaputama) JURNAL ILMU PENDIDIKAN AHLUSSUNNAH Jurnal Teknik Informatika C.I.T. Medicom JURNAL EDUKASI NONFORMAL Journal of Classroom Action Research Nusantara Hasana Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Journal of Research in Social Science and Humanities Jurnal Widya Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Almufi Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Nasional Teknologi Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Jurnal Ekonomi, Bisnis dan Manajemen Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Sewagati: Jurnal Pengabdian Masyarakat Indonesia Jurnal Teknik, Komputer, Agroteknologi dan Sains Journal Prima Health Science International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) Innovative: Journal Of Social Science Research TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Informasi Keagamaan, Manajemen dan Strategi International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Jurnal Bima: Pusat Publikasi Ilmu Pendidikan Bahasa dan Sastra Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Sains Student Research Blantika : Multidisciplinary Journal Nusantara Journal of Multidisciplinary Science Master Manajemen Media Kesehatan Politeknik Kesehatan Makassar Jurnal Manajemen dan Pendidikan Agama Islam Jurnal Multidisiplin Indonesia Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Pengabdian Masyarakat Tepak Sirih : Jurnal Pengabdian Kepada Masyarakat Madani Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan International Journal of Law, Crime and Justice International Journal of Sociology and Law Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi International Journal Of Synergi In Law, Criminal And Justice International Journal of Society and Law Prosiding Seminar Nasional Ilmu Hukum Jurnal Penelitian Ilmu Pariwisata Khalaqa: Journal of Education and Learnig Jurnal Riset & Sains Ekonomi
Ramadani, Suci
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Criminal Execution Of Payment Of Compensation What The Public Prosecutor Did In The Case Of Corruption Christine Natalia Pangaribuan; Suci Ramadani; Muhammad Arif Sahlepi
International Journal of Society and Law Vol. 3 No. 3 (2025): December 2025
Publisher : Yayasan Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/ijsl.v3i3.649

Abstract

This study analyzes the effectiveness and challenges of the Public Prosecutor (JPU) as the sole executor in carrying out the penalty of paying substitute money (UP) in corruption cases. Replacement money, which is regulated in Article 18 of the Corruption Law, is an additional criminal sanction that is essential to recover state financial losses (asset recovery). This normative-empirical legal research identifies that normatively the prosecutor has the strong authority to confiscate and auction the assets of the convict if the UP is not paid within one month. However, in practice, the prosecutor faces significant obstacles, mainly due to: 1) The act of transferring the convict's assets triggers a lawsuit against a third party (derden verzet), which delays the execution process; and 2) Technical limitations in asset tracing to track assets disguised through money laundering schemes. It was concluded that it is necessary to strengthen synergy between institutions and the optimal use of TPPU legal instruments to ensure the success of asset recovery and achieve restorative criminal law goals.
UTILIZATION OF THE CERTAINTY FACTOR METHOD TO DIAGNOSE EYE DISEASES abdul ghani, mukti; Manurung, Hotler; Ramadani, Suci
Jurnal Nasional Teknologi Komputer Vol 3 No 4 (2023): Volume 3 Nomor 4 Oktober 2023
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v3i4.104

Abstract

In Indonesia, the number of people with eye disease increases every year. The blindness rate of the population in Indonesia is around 1.2% of the total population. People with this eye disease have problems ranging from mild to blind spots. The main causes of blindness are cataracts, corneal disorders, glaucoma, refractive errors, dry eyes, retinal disorders and nutritional disorders. Conjunctivitis, macular degeneration, diabetic retinopathy and other diseases that affect the eyes. As vision, it is necessary to keep the function of the eye from decreasing. As a person ages, the accommodation ability of the eye also decreases. The causes include sitting too long in front of a computer or staring at a cellphone screen for too long, reading a book at a distance that is not within a normal healthy distance, or the presence of dirty air and solar radiation.
IoT-based Hydroponic Plant Monitoring System Fadillah, Fadillah; Buaton, Relita; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.255

Abstract

The Industrial Revolution 4.0 has an impact in the form of changes in various fields of human civilization, one of which is the agricultural sector. By applying IoT technology, hydroponic plants will effectively be accurate. IoT has room for improvement in the quality and quantity of agricultural production because it facilitates the automation of monitoring various processes with high precision This research uses the prototype method. Which uses the concept of direct monitoring and allows iterative changes to be made until the desired results are achieved. So this prototype method makes it possible to display the display directly. The microcontroller used is ESP32 which is connected to 3 sensors, namely the TDS sensor, DHT11 sensor and HC-SR04 sensor which are directly updated in the blynk application. In making the software program used is the Arduino IDE. Implementation of the tool is carried out on a floating raft installation. This iot-based hydroponic plant monitoring system has been successfully made and is able to monitor well. Because the system made is related to water, it is necessary to design a tool that is safer and has more protection so that it can’t only run well but also safer for users and a high level of durability.
Grouping Patient Data Based On Work And Place Of Residence On Perceived Complaints Sembiring, Jhody Alkhalis; Maulita, Yani; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.268

Abstract

Every day the Sawit Seberang Health Center serves many patients with various kinds of disease complaints from various areas in Sawit Seberang District. The number of patients can even reach tens of people in one day resulting in a large number of patient visit data. Limited information regarding the spread of diseases that are often suffered by patients in several areas at the Sawit Seberang Health Center has resulted in less optimal policy action, anticipation of treatment and prevention of disease in the community. To find information about grouping patient data based on work and place of residence for perceived complaints, a large or large data mining technique is needed, namely data mining techniques using the clustering method. The purpose of this study is to process and cluster patient data based on work, place of residence and complaints that are felt using the Clustering method, to analyze the results of applying data mining using K-Means Clustering in grouping patient data based on work, place of residence and complaints that are felt and find out the results of the settlement grouping patient data based on work and place of residence on perceived complaints using clustering and data mining methods.
Grouping Data On Infrastructure Development In Langkat District Using The Clustering Method (Case Study: PUPR, Langkat Regency) Diva Alifya; Buaton, Relita; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.278

Abstract

A building is a man-made structure consisting of walls and a roof permanently erected in a place. Buildings can also be called houses and buildings, namely all facilities, infrastructure or infrastructure in culture as well as human life in building their civilization. Public Works and Public Housing (PUPR) play an important role in increasing the development of national infrastructure in Indonesia so that PUPR can assist in clustering research in infrastructure development in Langkat Regency which is very large every year by grouping the data based on activity names, company names, sub-districts development, and look at the last four years.To classify existing development infrastructure in Langkat Regency with the previous system used by the PUPR Service which is still running by recording in a ledger and hindering reporting performance in grouping PUPR service infrastructure development in road construction, bridge construction and others. So that the existence of grouping using the clustering method helps the PUPR service in clustering infrastructure development data in Langkat Regency to be more effective and efficient.The clustering method is one of the methods that can be applied in classifying infrastructure development data taken from the analysis of Langkat Regency PUPR data regarding developments that have taken place in several sub-districts in Langkat Regency. This clustering method has been widely used by previous studies to group data
Application of Data Mining in Analyzing the Effect of Parents' Employment and Education Level on Student Behavior Using the A PRIORI Method (Case Study: SDN 024769 Binjai) Mayaza, Suha Baby; Buaton, Relita; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.279

Abstract

Behavior is a person's reaction to a stimulus that comes from the external environment. Parents are one of the main factors in the formation of children's behavior. This study aims to find out the effect of parents' work and education on student behavior. By using RapidMiner in testing 234 SDN 024769 Binjai student data, using the Apriori method and setting a minimum support value of 8% and 70% confidence, 1207 rules were obtained in the entire set and 2 rules in 9 itemsets. And the best rule with the highest value is obtained, if the father's job is self-employed, the mother's job is self-employed, the father's last education is high school, the mother's last education is high school, the time the father spends working is more than 8 hours per day, the time the mother spends working is more than 8 hours per day, the time the father spends on family is every day, and the time the mother spends on family is every day then the student has good behavior at school, with a support value of 8.5% and a certainty value of 95.2%.
Diagnosis of Baby Blues Syndrome sing the Certainty Factor Method (Case Study: FULL BETHESDA Hospital) Sulisni; Fauzi, Achmad; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.289

Abstract

Baby blues syndrome is a psychological disorder experienced by women after giving birth, such as feeling excessively upset and sad, and tired for no apparent reason. About 80% of women who have just given birth will experience Baby blues Syndrome, if this continues and is prolonged it will be very dangerous for the health of the mother and baby. From the problems above, the hospital needs to have an additional system that can help make it easier for the medical team to speed up handlers in analyzing and diagnosing Baby blues Syndrome suffered by patients using the certainty factor method. The purpose of this research is to build an expert system for diagnosing the symptoms of Baby blues syndrome using the certainty factor method. Based on the results of the CF calculation, the highest score is the type of baby blues syndrome with a value of 0.9602 or 96.02%. From the results obtained, the system identified that the patient had a type of baby blues syndrome.
Pelatihan Pembuatan Sabun Cuci Piring Dari Bahan Alam Daun Pandan dan Jeruk Nipis Bagi Ibu-Ibu PKK di Dusun II Desa Buluhcina Kecamatan Siak Hulu Kabupaten Kampar Arif, Muhammad; Margi Sidoretno , Wahyu; Iballa, Brilian Dini MA.; Lestari , Suci Shinta; Restia, Novi Dini; Muhammad Zamri; Aisyah Fadhiyah Zaroh; Vivi Vazelah; Windi Wulandari; Faiza Furqoningsih; Putri Marliani; Syafandi Dio Ramadani; Rhoma Saputra; Widia Puji Angraini; Sevyna Aulia Rizky; Suci Ramadani; Elma Fitri Handayani; Aulia Sekar Andini
JDISTIRA - Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Vol. 3 No. 2 (2023)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jdt.v3i2.546

Abstract

setiap rumah tangga sangat beragam tingkat kebutuhannya, tapi satu hal yang pasti bahwa semua rumah tangga sangat membutuhkan bahan untuk menjaga kesehatan anggota keluarganya dari bakteri dan kuman. Diantara bahan pembersih bakteri dan kuman dalam rumah tangga yang pokok adalah sabun pencuci piring. Sabun cuci piring merupakan bahan yang sering digunakan untuk membersihkan piring dan perabot rumah tangga. Penggunaan sabun cuci piring setiap hari memakan biaya yang cukup banyak. Tujuan dari Pengabdian Kepada Masyarakat ini untuk melakukan penyuluhan tentang pembuatan sabun cuci piring dari bahan alam daun pandan dan jeruk nipis kepada Ibu-Ibu PKK di Dusun II Desa Buluhcina Kecamatan Siak Hulu Kabupaten Kampar untuk mengurangi biaya pembelian sabun cuci piring dan sebagai peluang usaha industri rumahan. Metode yang digunakan dalam kegiatan ini adalah penyuluhan dan praktik pembuatan sabun melalui Participatory Action Research (PAR). Hasil dari kegiatan Pengabdian Kepada Masyarakat ini adalah produk berupa sabun cuci piring.
Studi Literatur: Kasus Kekerasan Seksual dan Upaya Pencegahannya Irawan, Egis Julya; Rahmadhani, Nuraisyah Novia; Azhany, Radhitya; Ramadani, Suci; Maharani, Reizki; Mu’asiroh, Husnul; Mawarni, Riska; Anggaini, Selvi; Ulfianti, Widya; Luthfiyan, Faaiz Huda; Fauza, Isnita Rahma; Amanda, Siti Dwi Tria
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v8i3.23047

Abstract

Penelitian ini bertujuan untuk menjelaskan suatu fenomena dengan sedalam-dalamnya melalui pengumpulan data sehingga dapat menunjukkan pentingnya kedalaman dan detail suatu data yang diteliti. Pada penelitian ini menggunakan metode studi literatur. Pada penelitian ini ditemukan hasil: (1) Definisi kekerasan seksual, (2) Bentuk-bentuk kekerasan seksual, (3) Faktor penyebab kekerasan seksual, (4) Dampak kekerasan seksual, dan (5) Upaya pencegahan kekerasan seksual. Permasalahan yang ditemui dalam penanganan kasus kekerasan seksual pada anak dan remaja serta solusinya yaitu: (1) lemahnya kemampuan pelaku dalam mengelola hasrat seksualnya, (2) rendahnya pemahaman pelaku dalam memahami batasan kontak fisik, (3) adanya rasa dendam pelaku pada korban, dan (4) adanya pengaruh lingkungan seperti melihat film atau gambar-gambar porno. Maka solusi yang bisa diberikan dengan melakukan pembinaan rehabilitasi pada pelaku di bawah umur dan pada pelaku yang cukup umur diberikan sanksi hukum yang sesuai dengan ketentuan Undang-Undang yang berlaku.
The Utilization of Python Models in Real-Time Data Processing for Oil and Gas Monitoring Systems Syari, Milli Allfhi; Ramadani, Suci; Sembiring, Hermansyah; Fitriani, Ayu
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp227-231

Abstract

This research aims to utilize Python models for real-time data processing in monitoring systems for the oil and gas industry, leveraging pressure and temperature sensors. The Internet of Things (IoT) is used to collect and process sensor data directly. Using Python methods, the data is analyzed to detect patterns, anomalies, and predict potential damage. Anomaly detection using the K-Nearest Neighbors (KNN) and Isolation Forest algorithms successfully detected operational anomalies with high accuracy. KNN achieved an accuracy of 90%, while Isolation Forest produced better results with an anomaly detection accuracy of 92%. Furthermore, the equipment failure prediction model built using the Logistic Regression and Random Forest algorithms showed good predictive ability. Logistic Regression reached an accuracy of 90%, with a precision of 89% and a recall of 86%. Meanwhile, Random Forest provided better prediction results with an accuracy of 92%, a precision of 90%, and a recall of 88%. The results of this research indicate that the application of Python models for IoT-based real-time data processing can significantly improve the efficiency of monitoring systems and accelerate problem detection in the field, with excellent detection and prediction accuracy.
Co-Authors abdul ghani, mukti Achmad Fauzi Aditya Pratama Ahamad Mukhlasin Ahmad Ahmad Fathoni Ahmad Harjono Ainur Rofiq Sofa Aisyah Fadhiyah Zaroh Akbar, Muhammad Faidzin Akmal Muliadi Al-Faris, Dzul Fadly Aldo Kristian Alwani, Afika Amanda, Siti Dwi Tria Amirah, Tengku Balqis Ananda Sari, Dea Andi Hasriani Andy Wijaya Anggaini, Selvi ANGGRAINI, MELISA Annajmi Annisa Desviana Anti Anisa Arcat Arif Pratama Putra Arifianto, Rosandi Arika Fitriani Arisanty, Arisanty Aritonang, Timotius Armidah Arnita, Vivi Aruan, Yulia Christy Shintara Asih Kinanti Aslamiah Aslamiah Astria, Fitri Puji Asyifah Fauzah Delfira Aulia Rahman Hakim Hasibuan Aulia Sekar Andini Auliya, Auliya Ayu Fitriani Ayu Monia, Fenny Ayu Monia Ayu Wulandari Azhany, Radhitya Azmi Asra, Azmi Bahar, Frida Baharudin, Puja Bakkareng, Bakkareng Barmi Hartesi Bella Bunda Berlian Evi Yenni Pakpahan Bin Lely, Jumardi Bintang Wicaksana Br Sitepu, Dinda Isabella Brilian Dini Ma. Iballa Buaton, Relita Budi Serasi Ginting Buhari Buhari Buluaro, Ratu Fortuna Chantika, Melan Christine Natalia Pangaribuan Darjat Saripurna Darma Taksiah Delfira, Asyifah Fauzah Dharmawan, Reza Fikri Dia Ovitri Agustin Dicky Ananda Azhari Dieo Alfiky Ananda Dilla Amelia Ramadhani Dinata, Rozzy Kesuma Diva Alifya Dwi Syah Fitra Ramadhan Dzakwan Edeline, Devina Edy Hartono Efendi Efendi Eliza putri Elma Fitri Handayani Eni Purwanti, Eni Eninta Rahayu Barus Eva Darnila Fadhila, Intan Fadillah Fadillah Faiza Furqoningsih Farhan Fathurrachman, Muhammad Puja Fauza, Isnita Rahma Fauzan, Itsqon Wafi Fauziah, Weniar Fa’ahakhododo, Fa’ahakhododo Febrina Dafit, Febrina Firman, Risman Firra Nurfajriah Fitriani Sofyan, Yanny Febry Gea, Fide Evianti Gembira, Muhammad Hamdani . Hannamara Furqan Nur Harahap , Afriandi Harefa, Jesslyn Elisandra Hasibuan, Leni Hermita Hasria Hayati, Radhiah Helena Helena, Helena Hendika Siringoringo Hendry . Hidayah, Arvina Nur Hotler Manurung Ihsan Saraini Ikram Imran Lubis Indah Permata Sari Indah Permata Sari Inka Nusamuda Pratama Inom Nasution Irawan, Egis Julya Ismaidar I, Ismaidar Jaya, Rio Irhan Mais Cendra Jesslyn Elisandra Harefa Joe Van Rajs Hutabarat Joko Christopher Samosir Juarsan, Laode Ihksan Khair, Husnul laela Sari, laela Lasma Sinambela Lestari, Adria Wuri lestari, Suci Shinta Limbongan, Joey Lindawati Br Surbakti Lokot Muda Harahap Lokot Muda Harahap, Lokot Muda Lubis, Muhammad Muqsith Lukita Tripermata Luthfiyan, Faaiz Huda Magdalena Simanjuntak Maharani, Reizki MANURUNG, HOTLER Margi Sidoretno , Wahyu Maruddani, Andi Widiasari Masri Masri Masyitah, Emi Mawarni, Riska Mayaza, Suha Baby Mesra, Novia Dita Mhd Mayu Pradana S Mochsen Sir, Mohammad Monica, Peby Muammar Khaddafi Muhammad Arif Muhammad Arif Sahlepi Muhammad Ihsan Muhammad Ikrom Muhammad Rivaldi Prastowo Muhammad Yazid Khofi Muhammad Zamri Muliawan Multasam, Multasam Munadrah Mustamin Mutathahirin, Mutathahirin Mutiara Ulpa Mu’asiroh, Husnul Nasution, Ahmad Ridwan Nasution, Chairuni NENI Nesya Putri Alfian Nia Agustri Lase Nikmah, Mery Jazimatun Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Asiyah Nurfadillah Oktavia, Dian Oktaviani, Resvi Pratama, M. Kurnia Putri Lestari Putri Marliani Putri Sabrina, Adin PUTRI WAHYUNI Putri, Sri Yuli Ayu R. Rusli R.M Rum Hendarmin Rafli Pramudia Rahmadhani, Nuraisyah Novia Rahmattullah, Rahmattullah Rahmawati, Moza Rahmayanti Rahmayanti , Rahmayanti Rahmayanti Rahmayanti Rahmayanti Rahmayanti Rahmi Amir Rahmi, Azvi Ramadanti, Putri Dwi Ramadhani, Dilla Amelia Ramahdanty, Ramahdanty Rangkuti, Erwin Efendi ratika Restia, Novi Dini Rhoma Saputra Rio Febriyan Rismoninta Padang Risuana, Ardia Rizky Ramadan Rohimi Rosima, Isfi Rubaiyn, Al Rusmin Saragih, Rusmin Sahlepi, Muhammad Arif Salsabila, Oktavia Saptha Nugraha Isa Saputra, Ilham Saputri, Cindy Dwi Sari Safira Sari, Fina Nilam Saskia Munandar Satar, Syahrul SE, Robiatul A’dawiyah Seftiawan, Rodi Selfiei Helfianto Simarmata Sembiring, Hermansyah Sembiring, Jhody Alkhalis Sembiring, Junior Kadiva Sembiring, Wildan Yuanda Malik Sevyna Aulia Rizky Sherly Eka Wahyuni Shintami Oktavia Sigit Karma Syaputra Sihombing, Anton Sihombing, Marto Sinambela, Lasma Sirait, Suprianto siregar, Hemalia putri Siregar, Muhammad Azhali Siregar, Sofiyan Siti Khodijah Siti Nurhayati Sofia Naliza Sitepu Sri Andriani Sri Defriani Br Sembiring Suci Pratiwi, Kiki Sujayanti Br.Giniting, Novia Sulisni Sulistiawati, Anggi Syafandi Dio Ramadani Syahranuddin, Syahranuddin Syahrul Syaiful Ikhram Lubis Syari, Milli Allfhi Syukri Hidayat Teddy Ramaditya Telaumbanua, Servasius Edwin Tria Indah Ristika Tuju, Marselino Clifer Turnip, Frenki Hamonangan Ulfianti, Widya Ultari, Eldisa Prayana Utami, Fitri Vivi Vazelah Wahyudi, Eri Widia Puji Angraini Winda Revalina simarmata Windi Wulandari Wiranata, Rio Yani Maulita Yansah, Randa Yulia Christy Shintara Aruan Yuliarman, Putri Yunus, Ahmad Tamsil Zainal, Dini Fitri Zeky, Serpuadi ZhelinTri Sah Billah Zuliani - _, Nuzuliya