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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Intelligent Decision Support System (IDSS) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Vision and Ideas (VISA) Bulletin of Multi-Disciplinary Science and Applied Technology TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Journal of Health, Engineering and Technology Jurnal Kajian dan Penelitian Umum Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Journal of Data Analytics, Information, and Computer Science (JDAICS) Router : Jurnal Teknik Informatika dan Terapan 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 Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Jurnal Inovasi Informatika dan Bisnis Digital (JIIBD)
Pardede, Akim Manaor Hara
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Penerapan Metode Fuzzy untuk Mengetahui Penyakit Radang Kelopak Mata (Blepharitis) Bayu Juliansyah; Akim Manaor Hara Pardede; Husnul Khair
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 3 (2025): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i2.614

Abstract

Blepharitis or inflammation of the eyelids is one of the common eye diseases, characterized by inflammation of the edges of the eyelids that can cause discomfort, irritation, and even visual disturbances. This disease can be chronic with recurrent symptoms such as red eyes, itching, watering, and the appearance of crust on the eyelashes. Proper and prompt diagnosis is necessary so that medical treatment can be carried out effectively and further complications can be prevented. This study aims to design and build an expert system based on the Fuzzy Logic method in helping diagnose blepharitis. The fuzzy method was chosen because it is able to handle the uncertainty of symptom data that often arises in the medical diagnosis process. This system is developed through the identification of the common symptoms of blepharitis, then processed using the fuzzy membership function to determine the type of disease based on the degree of symptom onset. The output of the system is in the form of the results of the diagnosis of blepharitis along with initial treatment recommendations that can be used as a reference for users. The results of the system test show that the application of fuzzy logic is able to provide diagnosis results that are quite accurate, fast, and easy to understand both medical personnel and the general public. This system is expected to help increase public awareness about the importance of early detection of blepharitis, as well as being a tool in the initial medical decision-making process. However, the limitations of this study lie in the limited amount of data and coverage of the type of blepharitis, so further development is needed, both in expanding the knowledge base, increasing the variety of symptoms, and improving system interaction with users.
IMPLEMENTATION OF DIGITAL TECHNOLOGY IN GREENING AND TREE PLANTING PROGRAMME Akim Manaor Hara Pardede; Preddy Marpaung; Amin Hou; Surtan Hasibuan; M Fakhrul Hirzi; Nidya Banuari; Deby Siska Oktavia Pasaribu; Yehezkiel Wibisono Sagala; Rafael R.F. Sijabat; Jonathan Setiadi Pasaribu; Jen Peng Huang
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 3 No. 3 (2023): November 2023 - February 2024
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/irpitage.v3i3.2161

Abstract

Afforestation and tree planting are important programmes for climate change mitigation and environmental conservation. However, the effectiveness of these programmes is often constrained by a lack of monitoring, documentation, and community involvement. The implementation of digital technology is an innovative solution to overcome these challenges. This community service aims to integrate digital technology in reforestation and tree planting programmes through the use of map-based applications, social media, and environmental sensors. This community service activity includes training on the use of location marker applications, monitoring tree growth with sensors, and digital campaigns to increase community participation. With the digital system, data related to tree conditions can be updated in real-time and easily accessed, so that it can help related parties in conducting evaluations and counselling that is more targeted. The results of this service show that digital technology increases community involvement, makes it easier to track the development of plants, and strengthens the transparency of the greening programme. This implementation is expected to become a model of sustainability in a wider community-based greening project.
Expert system for diagnosing EDC cash register malfunctions using the Decision Tree method Thalia, Novi; Pardede, Akim Manaor Hara; Khair , Husnul
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 3 (2025): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i3.307

Abstract

Problems with the use of Electronic Data Capture (EDC) machines at Jinjja Chicken Center Point Medan restaurant pose a significant challenge, especially since EDC machines not only function as a means of cashless payment, but also as part of the cashier's operational system. Frequent disruptions include program errors, display errors, total EDC shutdowns, line idles, and “please try again” messages. Until now, the process of reporting and repairing EDC malfunctions has been done manually by submitting a request to the bank, which often makes the diagnosis and repair process slow and inefficient. This is exacerbated by the limited technical information available to restaurant operators when customers experience disruptions. To overcome these problems, this study aims to develop an expert system for diagnosing EDC cash register malfunctions using the Decision Tree method, which is capable of mimicking the way an expert diagnoses EDC problems quickly and accurately. The Decision Tree method was chosen because it is capable of mapping the decision-making process based on attributes or symptoms that arise, to produce a conclusion in the form of the type of malfunction. This system was built using the PHP programming language and run locally using XAMPP as a web server. The research was conducted in a limited setting at the Jinjja Chicken Center Point restaurant in Medan, with five main malfunction categories as variables: Program Error, Display Error, EDC Completely Dead, Line Idle, and Please Try Again. The final result of this system development is expected to provide practical, efficient solutions that approximate the capabilities of an expert, as well as make a real contribution to the utilization of expert system technology to assist in the diagnosis of digital device damage in the service sector.
Development of Smart Method for Evaluating the Performance of Regional Election Monitors in improving The Transparency of The North Sumatera KPU Destiara, Destiara; Pardede, Akim Manaor Hara; Prahmana, I Gusti
Journal of Engineering, Technology and Computing (JETCom) Vol. 4 No. 2 (2025): Journal of Engineering, Tecnology and Computing (JETCom)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v4i2.310

Abstract

Regional head elections (Pilkada) are a crucial instrument in Indonesia's democratic system. However, their implementation often faces transparency issues, such as allegations of fraud, money politics, and limited access to public information. To maintain public trust, election observers are needed whose performance can be objectively evaluated. This study developed a decision support system based on the Simple Multi-Attribute Rating Technique (SMART) method to evaluate the performance of election observers in North Sumatra Province. The SMART method was chosen because it can handle multi-criteria decision-making through a process of weighting, normalization, and ranking alternatives. Research data was obtained from documentation from the North Sumatra General Elections Commission (KPU) for the 2024 period, including criteria such as mobilization of state officials, intimidation, money politics, politicization of social assistance, violations of the quiet period, and findings at polling stations (TPS). The results indicate that the SMART-based evaluation system provides a more systematic, transparent, and accountable assessment mechanism. These findings are expected to provide policy recommendations for the KPU to improve the quality of monitoring and strengthen transparency in the implementation of regional elections.  
Penerapan Sistem Pendukung Keputusan Dengan Metode Fuzzy AHP Untuk Penentuan Kriteria Prioritas Pelayanan Dikementrian Agama Kota Binjai Diana Lestari Simamora; Akim Manaor Hara Pardede; Melda Pita Uli Sitompul
Indonesian Journal of Science, Technology and Humanities Vol. 3 No. 2 (2025): IJSTECH - October 2025
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/ijstech.v3i2.1555

Abstract

Penelitian ini bertujuan untuk menerapkan Sistem Pendukung Keputusan (SPK) dengan metode Fuzzy Analytical Hierarchy Process (F-AHP) untuk menentukan prioritas pelayanan di Kementerian Agama Kota Binjai. Metode F-AHP digunakan untuk mengatasi ketidakpastian dan subjektivitas dalam pengambilan keputusan multi-kriteria. Kriteria yang digunakan meliputi: Tingkat Kebutuhan Masyarakat, Dampak Sosial, Aksesibilitas Pelayanan, Kesiapan Sumber Daya, dan Dukungan Kebijakan/Regulasi. Hasil penelitian menunjukkan bahwa Tingkat Kebutuhan Masyarakat merupakan kriteria paling dominan dengan bobot 1,0. Dari sepuluh alternatif pelayanan, Fasilitasi Perayaan Hari Besar Agama Non-Muslim dan Penyusunan Kurikulum Pendidikan Agama Non-Muslim di Sekolah memperoleh skor tertinggi (5,0), sedangkan Pengadaan Buku & Media Ajar Agama Non-Muslim memiliki skor terendah (1,0). Sistem yang dibangun menggunakan PHP dan MySQL mampu menghasilkan perangkingan yang objektif dan terstruktur, sehingga dapat mendukung pengambilan keputusan yang lebih akurat dan konsisten
Sistem Pakar Diagnosa Penyakit Autoimun Menggunakan Metode Dempster Shafer M. Rizki Auliansyah Ginting; Akim M.H. Pardede; Melda Pita Uli Sitompul
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): November : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.222

Abstract

Autoimmune diseases, which are disorders where the immune system attacks the body’s own tissues, can affect anyone, including children and adults. These diseases often lead to serious tissue damage and physiological disturbances. Al Fuadi Binjai General Hospital, the primary healthcare facility in Binjai City, faces challenges in diagnosing autoimmune diseases in a timely manner due to limitations in time, cost, and distance. Delays in treatment can exacerbate patient conditions and slow recovery processes. The objective of this study is to develop a system that processes symptom and autoimmune disease data using the Dempster-Shafer method, which allows for uncertainty assessment in decision-making. Patient symptom data collected and analyzed using this method aims to determine the likelihood of autoimmune diseases. The developed system demonstrated high diagnostic accuracy, with the most accurate results for lupus with a confidence level of 94.40%. This result indicates that the Dempster-Shafer method can be an effective tool in accelerating the diagnostic process and improving the accuracy of autoimmune disease management at Al Fuadi Binjai General Hospital
Pengelompokan Penyakit pada Pasien Berdasarkan Usia dengan Metode K-Means Clustering Maida Andriani; Akim Manaor Hara Pardede; Magdalena Simanjuntak
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 4 (2025): November : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.246

Abstract

This research aims to cluster disease data based on patient age using the K-Means method at RSUD Dr. RM. Djoelham. In this case study, the clustering method with the K-Means algorithm is used to group patients based on patient age, address and type of disease. With this method, information can be obtained regarding patient grouping patterns based on age at Dr. RM. Djoelham, who helps identify the closest relationships between patient groups and provides insight into the distribution of disease across age groups, regions and types of disease suffered.This research was conducted at RSUD Dr. RM. Djoelham by loading data from patients treated at the hospital. The data used is 1,100 patient data from 2022-2024 which has been recorded by the hospital. This patient data will be analyzed using 3 variables in the research, namely Patient Age (C1), Address (C2), and Type of Disease (C3). With the results, cluster 1 contains 320 data, cluster 2 contains 326 data, and cluster 3 contains 454 data.
Jaringan Syaraf Tiruan Memprediksi Penyakit Gerd menggunakan Metode Backpropagation : Studi Kasus : RSU. Bidadari Kota Binjai Diaz Kuncoro; Akim M.H. Pardede; Siswan Syahputra
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 4 (2025): November : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.251

Abstract

The rapid development of technology in the globalization era has significantly impacted various aspects of life, including the healthcare sector. RSU Bidadari Binjai, as a healthcare provider, faces challenges in diagnosing and preventing Gastroesophageal Reflux Disease (GERD), a condition with high prevalence and serious complications such as Barrett’s esophagus and esophageal cancer. Therefore, a predictive system capable of early detection is needed to ensure quicker and more effective medical intervention. This research develops a computer-based predictive system using the backpropagation method in artificial neural networks to assist in diagnosing GERD by processing patient symptom data. The system's test results show an accuracy rate of 100% in predicting GERD complications based on the given symptoms, thus supporting more timely and accurate medical interventions.
PELATIHAN JARINGAN UNTUK MENINGKATKAN JIWA KEWIRAUSAHAAN SISWA SMK (IbM) Pardede, Akim Manaor Hara; Novriyenni
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i2.578

Abstract

Jurusan bidang informatika mencakup Teknik Komputer Jaringan, Audio Visual, Design Grafis, Teknik Informatika, dll terus meningkat baik tingkat sekolah menengah maupun tingkat perguruan tinggi. Jumlah pengangguran terbesar pada kabupaten Langkat saat ini adalah tamatan SMA/SMK/SMA, hal ini terkait dengan semakin tinggiya tingkat pendidikan masyarakat, yang umumnya telah tamat SLTA melanjut ke perguruan tinggi. Banyaknya peminat jurusan bidang informatika mengakibatkan kuatnya persaingan para lulusan untuk mendapatkan pekerjaan, sehingga perlu ada upaya penanggulangan untuk meningkatkan skill siswa-siswi dan lulusan jurusan bidang informatika agar tidak semata-mata ingin mencari perkerjaan tetapi mampu membuka lapangan kerja. STMIK Kaputama merupakan perguruan tinggi pertama dalam bidang informatika di Kota Binjai. Kaputama merupakan singkatan dari Karya Putra Utama, sesuai dengan tugas utamanya melaksanakan tridharma perguruan tinggi maka dosen STMIK Kaputama terus melakukan kegiatan pengajaran, penelitian dan pengabdian masyarakat, melihat kuatnya persaingan lulusan dan kebutuhan masyarakat Kabupaten Langkat dan sekitarnya, dosen STMIK Kaputama merasa terpanggil untuk melaksanakan pengabdian masyarakat untuk meningkatkan skill siswa SMK Swasta Esa Prakarsa dan SMK Harapan Bangsa Kuala dalam bentuk pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet untuk membangun jaringan warnet, perkantoran dan internet desa dalam meningkatkan kemandirian siswa. Dengan adanya pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet, diharapkan siswa-siswi SMK Swasta Esa Prakarsa dan SMK Swasta Harapan Bangsa Kuala dapat lebih meningkatkan skill dan jiwa wirausahaan sehingga mereka mampu berwirausaha sekaligus membuka lapangan kerja secara khusus untuk dapat menerima perbaikan komputer dan membangun jaringan warnet, jaringan internet perkantoran dan jaringan internet masuk desa. Selain adanya jiwa wirausaha, masyarakat juga terbantu khususnya pedesaan agar percepatan informasi dan komunikasi dapat lebih meningkat.
ANALISIS HYBRID CRYPTOSYSTEM ALGORITMA ALGORITMA RSA DAN TRIPLE DES Fauzi, Achmad; Novriyenni; Maulita, Yani; Pardede, A M H
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i2.585

Abstract

Keamanan data sangat dibutuhkan dalam hal berkomunikasi. Untuk menjamin keamananan data dibutuhkan teknik untuk menyadikan data dan informasi yang disebut dengan Kritografi. Penelitian ini bertujuan untuk mengalisis proses Hybrid Didalam Kritografi simetris dan Asimetris yang mengunakan Algoritma RSA dan Algoritma Triple DES. Hal ini dapat meningkatkan keamanan data sehingga data menjadi lebih terjaga kerahasiaannya. Metode yang digunakan Algoritma RSA (Riverst – Shamir- Adleman) ini merupakan algoritma asimetris menggunakan sistem bilangan prima secara Acak dalam proses keamanannya dan Algoritma Triple DES yang disebut jugan dengan algoritma simetris adalah metode OFB (Output feeback), dan sehingga ketika kedua algoritma ini digabungkan dalam proses Hybrid maka keamanan datanya semakin akurat. Analisis Hybrid Kriptosistem algoritma RSA dan algoritma Triple DES menunjukan bahwa data yang dibuat secara text akan dienkripsi menjadi chipertext dengan menggunakan kedua metode tersebut dan di deskripsikan kembali. Sehingga keamanan data nya relative aman.
Co-Authors ., Novriyenni ., Novriyenni Abdullah Rayni Achmad Fauzi Ade Dharma Afif Abdillah Agung Prayogi Agus Muji Santoso Agus Syahrani Agus Syahrani Ahmad Zamsuri, Ahmad Ajeng Arina Nisa R Al Haby Pratama Subakti al Haby Pratama Subakti Alia Bihrajihant Raya Alia Bihrajihant Raya Alkhairi, Putrama Alya Fadillah Amanda Putri Ardana Ambarita, Indah Amin Hou Anang Wahid M.Diah ANDIKA Andika Andika Andini, Anggun Anggi Muhammad Tanjung Anggi Pratiwi Anggraeni Dyah S Anggraeni Dyah Sulistiowati Anggun Anggraini Anggun Angraini Anita Shintya Devi Apriandi Alfa Reza Saragih Arifin Dwi Saputro Aris Wahyono Aris Wahyono Artika Dini Anggriani Asrofi Liza Nasution Astrika, Rahayu Aula, Nurhasanah Azmy, Maulida Bachtiar, Willy Bagus Aziz Bagus Azizi Bayu Juliansyah Boyke Gunawan Manurung Br Bangun, Cindy Arsita Buaton, Relita Budi Purnomo Siahaan Budi Saragi Ginting budi saragih budi saragih Budi Serasi Ginting Budi Serasi Ginting Christian Adi Pratama Saragih Debby Ade prastiwi Deby Siska Oktavia Pasaribu Destiara, Destiara Desty Dwi Putri Diana Lestari Simamora Diaz Kuncoro Dina Filina Eddu Dwi Rizki Eddu Dwi Rizki Efendi, Sutris Eka Rahamadi Susilo Elni Arbaeti, Endang Evi Rinata Fahmi Aulia Sirait Fahri Husaini Farid Reza Malau Fatmaira, Zira Fauzi, Achmad Fazar Syahfitra Ferry Rahmadani fika lestika Fika Lestika Br. Tarigan Filina, Dina Finda Meyditia Finda Meyditia Fuzy Yustika Manik Fuzy Yustika Manik Ginting, Budi Saragi Gultom, Imeldawaty H Khair Hamdani, Diky Hamdani, Diky Harahap, Khairunnisa Hari Sabana Hasanul Khair Hasdari Helmi Hasdari Helmi Hendy Setiawan Hendy Setiawan Herdianta Herdianta Herlina, Lien Hermansyah Sembiring Hotler Manurung Husnul Kahir I G Prahmana I Gusti Prahmana I Gusti Prahmana igusti prahmana Iis Joice Susanti Marpaung Ilham Ilham Indah Haziziyah Indakholasy, Barru Jen Peng Huang John Darwis Martuadi Saragih John Darwis Martuadi Saragih Jonathan Setiadi Pasaribu Juni Ismail Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Katen Lumbanbatu Khadafi, Muhamad Khadapi, Muammar Khair , Husnul Khair, Husnul Khairunnisa Harahap Lita, Catlya Novera Lumbanbatu, Katen M Fakhrul Hirzi M Ilham Nst M. Rizki Auliansyah Ginting M. Taufik Magdalena Simanjuntak Maida Andriani MANURUNG, HOTLER Marto Sihombing Marto Sihombing Marto Sihombing Marto Sihombing Maulida Azmy maulida azmy Melda Pita Uli Sitompul MHD Micho Januar Prananta Mili Alfhi Syari Mili Alfhi Syari Syari Muhammad Arie Afryanda Muhammad Arie Afryanda Muhammad Taufik Nanang Wahyudin Nanang Wahyudin Naufal Falaah Nduru Nidya Banuari Nila Damayanti Ningsih, Nur Ema Tiana Novriyenni Novriyenni - Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Ema Tiana Ningsih nurema tiana ningsih Nurhayati Nurhayati Nurhayati Nurita Indriana Nuroini, Indi PASARIBU, TIO RIA Pasaribu, Tioria Paul Saut Marganda L Tobing Permana Putra Permana Putra Pitaloka, Nadila Prahmana, I Gusti Prastya, Reno Preddy Marpaung Putri Lestari Riawan Rafael R.F. Sijabat Rahmad Syahputra Rahmadani Rahmadani, Feri Ramadani, Suci Ramadhani Rangkuti, Nazwa Nurul Hafizah Refirda Agtalia Rendi Eka Pratama Rendi Eka Pratama Resti Afrelia Sibuea Richa Orellia Rika Hedy Anggraini Prastio Riki Winanjaya rima siburian Riski Ramadhansyah Risky Firmansyah Manik Ronny Lesmana Rusmin Saragih, Rusmin Saragih, Christian Adi Pratama Saragih, John Darwis Martuadi Sari, Indah Kelana Sawitri Sawitri Selfira Selfira Sembiring, Hermansyah Sihombing, Anton Sihombing, Marto Sijabat, Maruba Simanjorang, Armadani Simanjuntak, Magdalena Simanjuntak, Magdalena Simanjuntak, Ruth Rani Siswan Syahputra Sitepu, Cindy Yohana Siti Alyunita Mega Lestari Siti Mutoharoh Permata Ayunda Subakti, Al Haby Pratama Suhada Suhada Suhada Suhada Suhada Suhada Suhada Suhada, Suhada Surja Arafat Surtan Hasibuan Surya Siswoyo Surya Siswoyo Sutris Efendi Syahputra , Siswan Syahputra, Siswan Syari, Mili Alfhi Syari Syari, Milli Alfhi Tarigan, Fika Lestika Br. Tengku Syahdina Riyan Thalia, Novi Tio Ria Pasaribu Tria Pusvita Dewi Triana Dewi lestari Usman Gumanti Wahyu Surya Nanda Wardani, Sisca Willy Bachtiar Wisnu Satriyo Jati Wisnu Satriyo Jati Yani Maulita Yanuar Dwi Prastyo Yehezkiel Wibisono Sagala Yourman Doni Siddik Yuda Washita