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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal Information System Development ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science Majalah Ilmiah Warta Dharmawangsa JTIK (Jurnal Teknik Informatika Kaputama) JUKI : Jurnal Komputer dan Informatika Jurnal Manajemen Informatika Jayakarta Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Journal of Vision and Ideas (VISA) Jurnal Pengabdian Masyarakat IPTEK EXPLORER Bulletin of Multi-Disciplinary Science and Applied Technology Journal Of Human And Education (JAHE) Journal of Information Systems and Technology Research Sci-Tech Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Ulead : Jurnal E-pengabdian Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) JOURNAL OF ICT APLICATIONS AND SYSTEM Jurnal Teknik, Komputer, Agroteknologi dan Sains Zadama: Jurnal Pengabdian Masyarakat International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Pengabdian Pendidikan Indonesia (PPI) Jurnal Ilmu Komputer dan Sistem Informasi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Saturnus: Jurnal Teknologi dan Sistem Informasi KETIK : Jurnal Informatika Ulil Albab Pascal: Journal of Computer Science and Informatics Journal of Computer Science Artificial Intelligence and Communications Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak

Rusmin Saragih, Rusmin

STMIK Kaputama

Author-ID : 2547035

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Optimalisasi Metode Pembelajaran Interaktif dalam Kursus Komputer di LKP Karya Prima Secara Hybrid Zen, Muhammad; Saragih, Rusmin; Gultom, Imeldawaty; Sinaga, Ayu Puspita Sari; Cynthia, Eka Pandu
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 1 (2025): Juli 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i1.441

Permasalahan utama dalam pelaksanaan kursus keterampilan di Lembaga Karya Prima adalah metode pembelajaran yang masih bersifat satu arah, sehingga partisipasi peserta kurang optimal. Tujuan pengabdian ini adalah untuk mengoptimalkan metode pembelajaran interaktif dalam meningkatkan efektivitas kursus keterampilan. Metode pelaksanaan meliputi sosialisasi, workshop, dan praktikum interaktif yang melibatkan 25 peserta dari berbagai latar belakang usia produktif. Evaluasi dilakukan melalui observasi langsung, pre-test dan post-test, serta refleksi harian peserta. Hasil kegiatan menunjukkan peningkatan keterampilan praktis peserta sebesar 75% dan peningkatan soft skill seperti komunikasi dan kerja tim sebesar 60%. Sebagian peserta juga mampu memanfaatkan keterampilan yang diperoleh untuk membuka usaha kecil secara mandiri. Kegiatan ini membuktikan bahwa metode pembelajaran interaktif mampu meningkatkan efektivitas proses kursus serta memberi dampak nyata terhadap kemandirian ekonomi peserta.

Penerapan Metode Clustering pada Status Gizi Ibu Hamil : (Studi Kasus: Puskesmas Kota Datar) Hesty Vitara; Rusmin Saragih; Victor Maruli Pakpahan
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.321

Pregnancy is a process in a woman's life, where major changes occur in her physical, mental and social aspects. These changes cannot be separated from the factors that influence them, namely physical factors, psychological factors and environmental, social, cultural and economic factors. One of the nutritional problems of pregnant women is chronic energy deficiency (KEK). Chronic energy deficiency (KEK) is a nutritional problem caused by a lack of food intake over a long period of time, a matter of years. Datar City Health Center is one of the agencies that provides health services for the local community and helps resolve problems with the health and nutritional development of mothers and children to prevent problems with malnutrition in pregnant women. The aim of the research is to make it easier for agencies to manage data and obtain complete information about the nutritional status of pregnant women. From 20 data, 3 groups were obtained, Cluster 1 had 4 data on the nutritional status of pregnant women, Cluster 2 had 4 data on the nutritional status of pregnant women and Cluster 3 had 12 data on the nutritional status of pregnant women. And the largest group obtained was cluster 3 with the data group on the nutritional status of pregnant women found in the gestational age group (X), namely 14-27 weeks old, with screening results (Y) namely adequate nutrition, and the causal factors (Z) that occurred were economic factors

Diagnosa Penyakit Chikungunya Menggunakan Metode Certainty Factor Ikhsan Arif; Achmad Fauzi; Rusmin Saragih
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.330

Chikungunya is a disease caused by the Chikungunya virus (CHIKV) transmitted by Aedes aegypti and Aedes albopictus mosquitoes. Some of the symptoms are sudden fever, chills, pain in the joints, muscle pain in the neck, shoulders and limbs, rash. Treatment of sufferers is aimed at complaints and symptoms that arise and the drugs given are generally only to relieve existing symptoms, such as giving Antipyretic drugs to relieve fever, Antiemetic drugs to relieve nausea / vomiting, or Analgetics to relieve joint pain only, from these problems many people also do not understand the handling of chikungunya disease, therefore it is necessary to have a system that can collect information to collect information and conduct counseling activities on the treatment of Chikungunya disease to the general public and especially to the elderly to provide knowledge about Chikungunya disease using the Certainty Factor method. The purpose of this research is to provide information and knowledge to the public about Chikungunya Disease Treatment and the Elderly know the medicine for Chikungunya Disease treatment. From the results of applying the certainty factor method to diagnose chikungunya disease, it can be obtained that the diagnosis result is acute chikungunya disease with a confidence level of 95.19%.

Diagnosa Penyakit Paru-Paru dengan Metode Naive Bayes : (Studi Kasus: RSUD Djoelham Kota Binjai) Boyke Gunawan Manurung; Akim Manaor Hara Pardede; Rusmin Saragih
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.359

The lungs as the only pump for the respiratory system are very important organs for the continuation of life. Diagnosing or checking lung symptoms early can help people recognize the possibility that they are suffering from lung disease, so that treatment or care can be done earlier to prevent the severity of the disease. The method used in this study is the Naïve Bayes method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by adding up the frequencies and combinations of values from the given dataset. An expert system is a computer application that can help decision making in more specific fields with methods that have been analyzed in advance by experts or specialists. This study used variables, namely types of lung disease including Pulmonary Tuberculosis (TB), Chronic Obstructive Pulmonary Disease (COPD), Bronchial Asthma and Lung Cancer. The results of this study are that lung disease or types of lungs can be diagnosed using the web-based Naïve Bayes method, and make it easier for sufferers to consult without seeing a doctor by selecting symptoms of lung disease.

Optimasi Penyusunan Koleksi Buku Dinas Perpustakaan Berdasarkan Pola Peminjaman dengan Metode Apriori : (Studi Kasus: Dinas Perpustakaan) Dinda Firdawati Simamora; Rusmin Saragih; I Gusti Prahmana
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.360

A library is a facility or place that provides reading materials. Good book arrangement can help the library in obtaining good reading sources. The arrangement of library service book collections based on borrowing patterns, there is an alignment between user needs and the availability of reading materials available in the library. Analysis of book borrowing patterns provides valuable insights for library staff in determining the books that are most in demand and often needed by users. Data mining is defined as mining data or efforts to dig up valuable and useful information in a very large database. The most important thing in data mining techniques is the rule for finding high frequency patterns between sets of itemsets called Association Rules. The method used in this study is Apriori (Association Rule). This technique is used to find relationships or associations between items or variables in data. Well-known algorithms such as Apriori and Eclat are used to find association rules in transactional data. The purpose of this study is to find out library visitor data using the Apriori Algorithm method and to find out the application of data mining for compiling book collections based on borrowing patterns. The results of this study are the multiplication of support and confidence, choose the one with the largest multiplication result. The largest result of the multiplication of these multiplications is the rule used when borrowing books. Because the results of the multiplication of the 4 borrowings have the same value, all of them can be used as rules.

Penerapan Metode K-Means Clustering untuk Pengelompokan Minat Konsumen terhadap Pengguna Jasa Layanan pada Kantor Pos Binjai Andrean Samuel Siahaan; Rusmin Saragih; Magdalena Simanjuntak
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 5 (2024): September : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i5.236

This research aims to apply the K-Means Clustering method in grouping consumer interests regarding the use of services at the Binjai Post Office. The Post Office is part of a state-owned enterprise in North Sumatra Province with the main task of providing postal and logistics services. Postal services remain one of the most important means of communication, especially for sending packages, letters, and documents. However, with various services and diverse consumer needs, post offices can provide more effective and relevant services. The K-Means Clustering method is a classification technique based on machine learning algorithms used to identify patterns present in consumer interest data. The data used in this research includes various related variables, namely the type of delivery, total cost, and delivery time. The results of the clustering process conducted using 3 clusters indicate that there is a grouping of consumer data based on preferences for using delivery services. In group 1, there are (21 data points) with a centroid at coordinates (C1) 2; 4.3810; 3.5238. In group 2, there are (124 data points) with a centroid at coordinates (C2) 3; 2.0565; 3.1452. In group 3, there are (387 data points) with a centroid at coordinates (C3) 3.6925; 1.1370; 1.7209. This research shows that the application of K-Means Clustering can enhance the understanding of consumer interests and assist in the development of more targeted strategies to optimally meet needs.

Sistem Pakar Diagnosa Penyakit Kaligata Menggunakan Metode Dempster Shafer Ulandari, Seri; Saragih, Rusmin; Saripurna, Darjat
Educativo: Jurnal Pendidikan Vol 1 No 1 (2022): Jurnal Teknik, Komputer, Agroteknologi dan Sains (Marostek)
Publisher : PT. Marosk Zada Cemerlang

Kaligata merupakan bentol-bentol di kulit disertai ruam kemerahan, terasa gatal, dan terkadang terasa perih menyengat. Biasanya kaligata muncul akibat reaksi alergi. Perkembangan dunia teknologi informasi telah banyak mengalami perubahan yang sangat pesat, seiring dengan kebutuhan manusia akan teknologi informasi. Hal ini mendorong para ahli untuk mengembangkan komputer agar dapat membantu kerja manusia. Salah satu ilmu komputer yang dapat membantu mengembangkan komputer untuk membantu kerja manusia adalah sistem pakar (expert system). Implementasi sistem pakar dapat digunakan di berbagai bidang salah satunya bidang Kesehatan, karena ada beberapa kasus tentang masalah kulit yang bisa terjadi pada anak-anak, remaja, dan dewasa. Banyak pasien yang belum mengetahui penyakit kaligata juga memiliki gejala anafilaksis, yaitu reaksi alergi yang parah dan terjadi secara tiba-tiba hingga bisa menyebabkan kematian. Kondisi ini di anggap sebagai keadaan darurat karena beberapa gejalanya yang ekstrem. Serta kurangnya informasi dan konsultasi membuat pasien lebih menganggap penyakit kaligata merupakan penyakit biasa. Oleh karena itu sangat diperlukan suatu sistem yang bisa menjadi informasi dan media pengganti pakar dalam mendiagnosa penyakit kaligata, agar pasien yang memiliki gejala sebelumnya dapat lebih cepat mendapatkan informasi dan konsultasi melalui sistem yang sudah di buat. Dengan adanya aplikasi sistem pakar ini dapat menjadi database pengetahuan mengenai hal-hal yang berhubungan dengan gejala dan diagnosa penyakit kaligata.

Rancang Bangun Sistem Monitoring Emisi Gas Buang Pada Ruang Parkir Bawah Tanah Gedung Perkantoran Menggunakan Internet of Things (IoT) Raihan, Muhammad; Novriyenni; Saragih, Rusmin
Indonesian Journal of Education And Computer Science Vol. 3 No. 1 (2025): INDOTECH - April 2025
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v3i1.1183

Penelitian ini bertujuan merancang dan membangun sistem monitoring emisi gas buang di ruang parkir bawah tanah gedung perkantoran dengan memanfaatkan teknologi Internet of Things (IoT). Sistem ini mengintegrasikan sensor MQ-7 dan MQ-135 untuk mendeteksi gas berbahaya seperti karbon monoksida (CO), sulfur dioksida (SO₂), dan nitrogen oksida (NOₓ). Data hasil deteksi dikirim secara real-time melalui modul ESP32 ke aplikasi Blynk, sehingga memungkinkan pemantauan kualitas udara secara terus-menerus dan jarak jauh. Selain itu, sistem ini juga dilengkapi dengan indikator visual berupa LED dan buzzer sebagai peringatan dini apabila konsentrasi gas melebihi ambang batas yang ditentukan. Hasil pengujian menunjukkan bahwa sistem ini mampu mendeteksi dan memantau emisi gas secara akurat serta memberikan notifikasi yang dapat digunakan sebagai dasar pengambilan tindakan preventif. Dengan demikian, sistem ini dinilai efektif dan andal dalam menjaga kualitas udara di area parkir tertutup. Kesimpulannya, implementasi sistem monitoring berbasis IoT ini berpotensi besar untuk meningkatkan keselamatan dan kesehatan pengguna ruang parkir bawah tanah melalui pemantauan kualitas udara yang efisien, real-time, dan responsif terhadap kondisi lingkungan.

Pelatihan dan Pendampingan Update Data dan Upload Proposal Penelitian dan Pengabdian Kepada Masyarakat Melalui Simlitabmas Saragih, Rusmin; Nurhayati; Pasaribu, Tioria; Manik, Fuzy Yustika; Fatmaira, Zira; Sitompul, Juliana Naftali; Gultom, Imeldawaty; Puspadini, Ratih
ULEAD : Jurnal E-Pengabdian Volume 1 Nomor 2 Januari 2022
Publisher : Fakultas Ilmu Komputer, Universitas Katolik Santo Thomas Medan

Tridarma perguruan tinggi terdiri atas tiga point yaitu Pendidikan dan pengajaran, penelitian serta pengabdian kepada masyarakat. Dosen masih sering mengabaikan hal yang menunjang tugasnya selain mengajar dikelas. Untuk meningkatkan animo dosen dalam melakukan penelitian dan pengabdian, maka pemerintah melalui kemendikbud membuka hibah DRTPM. Melalui hibah ini seluruh dosen di akan bersaing untuk memenangkan hibah tersebut dengan skema-skema yang disediakan. Sebagian dosen STIe LMII Medan masih belum terlalu memahami prosedur pelaksanaan yang disediakan Simlitabmas.bTujuan dari kegiatan pengabdian ini adalah agar dosen-dosen di STIe LMII Medan dapat menggunakan simlitabmas dengan baik.. Pemecahan masalah yang dilakukan adalah dengan melakukan pelatihan dan pendampingan penggunaan simlitabmas. Dengan diadakan pelatihan dan pedampingan penggunaan aplikasi Simlitabmas bagi dosen STIe LMII Medan, dosen akan bisa menggunakan aplikasi simlitabmas dan pemanfaatan dibidang penelitian dan pengabdian. Hasil pelaksanaan kegiatan pengabdian Seluruh dosen tersebut sudah bisa login dan menggunakan aplikasi simlitabmas untuk mengupdate profil serta mengunggah proposal. Peserta telah memiliki Pengetahuan dan wawasan bahwa aplikasi simlitabmas sangat penting untuk meningkatkan karir peserta di bidang penelitian dan pengabdian. Wawasan dan pengetahuan peserta sudah meningkat, hal ini terlihat saat peserta sudah mampu mengoprasikan dan menggunakan semua menu yang ada di aplikasi simlitabmas. Sehingga diharapkan nantinya dosen-dosen STIe LMII Medan dapat mengikuti hibah DRTPM ini dengan tanpa adanya kesulitan dalam penggunaan Simlitabmas.

Decision Support System for Choosing the Best Nurse Using the Multi Factor Evaluation Process (MFEP) Method at Djoelham Hospital, Binjai City Ningsih, Yulia; Simanjuntak, Magdalena; Saragih, Rusmin
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 01 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Health workers are any person who is devoted to health and has knowledge and/or skills through education in the health field which for certain types requires the authority to carry out health efforts. A strategy is needed to increase the interest of health workers working in hospitals. The selection of exemplary health workers in hospitals is expected to be a motivation to increase the interest of health workers working in hospitals so that they can be a driver for the creation of health workers who have a nationalist, ethical and professional attitude, have a high spirit of service, are disciplined, creative, knowledgeable, skilled, virtuous and can uphold professional ethics. The purpose of this study is to evaluate the performance of nurses and reward the best nurses at Djoelham Hospital Binjai City. The use of the Multi Factor Evaluation Process (MFEP) method is relevant because it can help in integrating and evaluating various factors and criteria holistically. MFEP is a method that allows to evaluate various factors that affect decisions, as well as provide weight or value relative to each of these factors. The criteria used in this study are discipline, cooperation, loyalty, education, understanding of drug prescriptions, understanding of technology. The conclusion of this study is that the construction of this support system can help Djoelham Hospital in determining the best nurse and the use of the MFEP method in the decision support system to determine the best nurse increases accuracy in determining the best suitable nurse. This method is able to process various criteria that have been set, so that the results of decisions are more objective and fair compared to manual assessments.

Co-Authors , Eka Putra Abdul Azan Abdul Azan Abdullah Hamid, Abdullah Abdullah Husein Achmad Fauzi ACHMAD FAUZI Alfina Damayanti Ambarita, Indah Andini Andini Andre Adrian Andrean Samuel Siahaan Aprilianda, Dinda Arianta Bangun Arnes Sembiring Asih, Munjiat Setiani Barany Fachri Boyke Gunawan Manurung Br Sitepu, Dinda Isabella Buaton, Relita Chairul Rizal Charles Jhony Mantho Sianturi, Charles Jhony Mantho Cindy Primadona Siahaan Damayanti, Fera Dandi Satria R Deni Apriadi Dewantara, Nowell Dimas Prayogi Dinda Firdawati Simamora Divi Handoko Eka Pandu Cynthia Eka, Muhammad Fany Juliawati Fatimah Fatmaira, Zira Fauzi, Achmad frans ikorasaki Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Gea, Fide Evianti Ginting, Darmawan Gultom, Imeldawaty Handoko, Divi Herdiansyah Harahap Herdiansyah Harahap Hesty Vitara I Gusti Prahmana Ikhsan Arif Indra Prasetia, Indra Irfan Yusuf Ismi Asmita Jesayas Sembiring Khair, Husnul Khalidy, Furqan Lestari, Yuyun Dwi Lili Musarofah Lili Musarofah Loo, Petrus Magdalena Simanjuntak Magdalena Simanjuntak Magdalena Simanjuntak Mardiah Marto Sihombing Marto Sihombing Meisaroh Melda Pita Uli Sitompul Mhd Ferdiansyah Putra Mili Alfhi Syari Muhammad Danil Syahputra Muhammad Danil Syahputra Muhammad Eka Muhammad Eka Muhammad Noor Hasan Siregar Muhammad Reza Habibi Muhammad Zen, Muhammad Munadi Munadi Nadia Nurhafiza Nasril Hidayat Nico Kurniawan Purba Nikous Soter Sihombing Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurlaila Nurlaila Nurlaila Nurlaila Nuryahati - Pakpahan, emma martina Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rafli Fitriawan Rahayu Utami Rahmadani Rahmadani Rahmawati Rahmawati, Rahmawati Raihan, Muhammad Ramadani, Suci Ramli Ramli Ramos Parulian Ambarita Ratih Puspadini Rianty Zabitha Siregar Ricky Ramadhan Harahap Rizki Kurniawan Ryan Hidayat Sari Suwandi, Ema Saripurna, Darjat Satria R, Dandi SELVY ANGGRAINI, SELVY Sihombing, Anton Sihombing, Marto Simanjuntak, Magdalena Sinaga, Ayu Puspita Sari Sirait, Win Gomgom Parsaulian Siswan Syahputra Sitepu, Ruine Buana Br SITORUS, ERBIN Sonadi Perangin Angin Suci Pratiwi, Kiki Supiyandi Supiyandi Syahputra, Siswan Syari, Milli Alfhi Tantia Azzahra Tata Mustika Dewi tata, tatamustikadewi Theodora MV Nainggolan Ulandari, Seri Wati, Sri Kesuma Yani Maulita Yekolya Anatesya Yessi Fitri Annisah Lubis Yulia Ningsih Yusuf Afani Yuyun Dwi Lestari

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