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All Journal JURNAL KIMIA SAINS DAN APLIKASI Jurnal Pendidikan Matematika dan IPA Pharmaciana: Jurnal Kefarmasian Journal of Islamic Pharmacy Spektra: Jurnal Fisika dan Aplikasinya Jurnal Ilmiah Mandala Education (JIME) JURNAL FARMASIMED (JFM) Jurnal Dunia Farmasi Jurnal Keperawatan Priority JURNAL PENELITIAN PERAWAT PROFESIONAL Indonesian Journal of Electrical Engineering and Computer Science Jurnal Indah Sains dan Klinis Mejuajua Journal Automation Computer Information System (JACIS) JURNAL KIMIA SAINTEK DAN PENDIDIKAN Journal of Scientific Research, Education, and Technology Jurnal Pengmas Kestra (JPK) Jurnal Muara Olahraga Mawaddah: Jurnal Hukum Keluarga Islam Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Indah Sains dan Klinis Jurnal Ilmiah Manuntung: Sains Farmasi dan Kesehatan
Suprianto Suprianto
Institut Kesehatan Medistra Lubuk Pakam
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From Taboo to Negotiated Tradition: Marriage During Muharram in Gunungkidul within Islamic Family Law Context Assaiq, Muhammad Royhan; Hayati, Siti Muna; Suprianto, Agus; Aqil, Ibnu; Yumna, Hanin
Mawaddah: Jurnal Hukum Keluarga Islam Vol 4 No 1 (2026): Mei
Publisher : Universitas Muhammadiyah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52496/mjhki.v4i1.53

Abstract

This study addresses the gap between normative Islamic legal perspectives, which deny any prohibition of marriage in certain months, and socio-cultural practices that maintain marriage taboos in Javanese society. It aims to explain how Javanese traditions interpret marriage during the month of Muharram and to identify the factors that drive the negotiation of this taboo. This research is a field study with a qualitative socio-legal approach conducted in Gunungkidul Regency. Data were collected through in-depth interviews with ten informants, including six individuals who married during Muharram, two marriage guardians, and two officials from the Office of Religious Affairs. Data were analyzed using the Miles and Huberman model and interpreted through Bronfenbrenner’s ecological systems theory. The findings reveal that decisions to marry during Muharram are influenced by practical family considerations, religious understanding, and institutional legitimacy. These factors indicate that the Muharram marriage taboo has not disappeared but has been reinterpreted as a negotiable cultural practice. Theoretically, this study contributes to Islamic family law by demonstrating that legal norms interact dynamically with social and cultural systems, in which local traditions may function as ‘urf that is continuously negotiated within the framework of Islamic law. Therefore, this study recommends strengthening context-based Islamic legal education grounded in maqāṣid al-sharī‘ah to distinguish between normative religious teachings and culturally constructed beliefs.  
Shakemap and Focal Mechanism Analysis of the December 2024 Gresik Earthquake Zaman, Mochamad Tanwiruz; Suprianto, Agus; Rohman, Lutfi; Cahyono, Eko
Spektra: Jurnal Fisika dan Aplikasinya Vol. 11 No. 1 (2026): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 11 Issue 1, April 2026
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.111.04

Abstract

An earthquake that occurred on December 30, 2024 in Gresik Regency, located at 7.05° S and 112.62° E with a focal depth of 14 km and magnitude M3.3, was a shallow earthquake felt with an intensity of II–III MMI. This study aims to analyze the earthquake shaking intensity map (Shakemap), determine the earthquake source mechanism, and perform earthquake scenario modeling using the maximum magnitude based on the Indonesian Earthquake Source and Hazard Map (PUSGEN). Shakemap analysis was carried out using the BMKG Shakemap server based on accelerograph network data. Fault mechanism analysis was performed using focal mechanism software with P-wave polarity input obtained from waveform signal picking using SeisGram2K software. Meanwhile, the Shakemap scenario was generated using the ShakeMap application available at the Pasuruan Geophysical Station. The results show that the distribution of Peak Ground Acceleration (PGA) and shaking intensity is influenced not only by the distance from the epicenter but also by local geological conditions that contribute to ground-motion amplification. Source mechanism analysis indicates that the Gresik earthquake was dominated by a strike-slip faulting mechanism with a weak oblique component, interpreted as sinistral strike-slip motion along the RMKS–Tuban 3 fault zone. Scenario earthquake modeling with a magnitude of M 6.2 indicates that Gresik Regency has the potential to experience strong ground shaking with maximum intensities reaching VI–VII MMI, while surrounding areas such as Surabaya City, eastern Lamongan Regency, and western Bangkalan Regency may experience intensities up to VI MMI. These findings indicate that although the Gresik earthquake had a relatively small magnitude, the potential earthquake impact in Gresik and surrounding areas could become significant if a maximum-magnitude earthquake occurs, therefore, this study provides important information for earthquake disaster mitigation efforts.
Survey Of Overhead Passing Ability Of Volleyball Athletes In The Volleyball Extracurricular Course At YPPK Santo Bernardus Timika Middle School Trisakti, Jhon Citro; Suprianto, Suprianto
Jurnal Ilmiah Mandala Education (JIME) Vol 12, No 2 (2026): Jurnal Ilmiah Mandala Education (April)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v12i2.10459

Abstract

Survey of Overhead Passing Skills in Volleyball Athletes at YPPK Santo Bernardus Junior High School in Timika. Overhead passing is a fundamental technique in volleyball. The YPPK Santo Bernardus Junior High School volleyball extracurricular activities do not optimize overhead passing skills in volleyball. Therefore, the YPPK Santo Bernardus Junior High School volleyball extracurricular activities lack mastery of overhead passing skills. This research is needed to identify the overhead passing skills of YPPK Santo Bernardus Junior High School volleyball extracurricular athletes. This research aims to determine the extent of their overhead passing skills. This research was conducted to determine the overhead passing skills of YPPK Santo Bernardus Junior High School volleyball extracurricular athletes at Timika.This research is a quantitative descriptive study. The method used in this study was a survey with test and measurement data collection techniques. The population in this study were the volleyball extracurricular athletes of YPPK Santo Bernardus Junior High School in Timika, with a total of 20 people, who were then used as research samples. The instrument in this study was the AAHPER face pass volleyball test. The data analysis technique used descriptive analysis carried out in the form of a percentage of the passing ability of the volleyball extracurricular athletes of YPPK Santo Bernardus Junior High School. The results of the study from 20 volleyball extracurricular athletes of YPPK Santo Bernardus Junior High School in Timika obtained 2 athletes (10%) with a very poor category, 3 athletes (15%) with a poor category, 8 athletes (40%) with a sufficient category, 6 athletes (30%) with a good category, and 1 athlete (5%) with a very good category. The level of passing ability of the volleyball extracurricular athletes of YPPK Santo Bernardus Junior High School in Timika was categorized as sufficient. The results of this study provide useful input for the Volleyball Extracurricular of YPPK Santo Bernardus Timika Middle School and the Volleyball Extracurricular coaches of YPPK Santo Bernardus Timika Middle School to improve the passing ability of the Volleyball Extracurricular Athletes of YPPK Santo Bernardus Timika Middle School.
Dingo optimization algorithm for designing power system stabilizer Aribowo, Widi; Suprianto, Bambang; Three Kartini, Unit; Prapanca, Aditya
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp1-7

Abstract

The dingo optimization algorithm (DOA) adopts the social life of dingo dogs. The dingo is a breed of ancient dog originating from Australia. Dingo hunting strategies such as assault with persecution, flocking, and scavenging behavior became the inspiration for DOA. In this paper, DOA is applied to a power system stabilizer (PSS) to dampen low-frequency oscillations (LFO) in a single-machine infinite bus (SMIB). DOA is used to obtain optimal parameters for PSS. The damping controller is designed for optimal lead-lag control. To obtain the performance of the DOA method, the results were compared with the uncontrolled method, conventional PSS, Whale optimization algorithm (WOA), and grasshopper optimization algorithm (GOA). Simulation using MATLAB with three different operating conditions, namely light load (20%), medium load (50%) and high load (100%). From the simulation using MATLAB with SMIB modeling, it was found that the application of the DOA method on PSS has the ability to reduce the average undershoot value by 28.16% and reduce the average undershoot value to 65.57% compared to the conventional PSS method.
Prediksi Risiko Stroke Berdasarkan Faktor Klinis Menggunakan Random Forest Dengan Optimasi Threshold dan SHAP Hidayat, Chaerul; Nugroho, Agung; Suprianto, Asep
Journal Automation Computer Information System Vol. 6 No. 1 (2026): Mei
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v6i1.178

Abstract

Stroke merupakan salah satu penyebab utama kematian dan kecacatan di berbagai negara, sehingga diperlukan metode prediksi risiko yang akurat berbasis data klinis. Namun, penelitian sebelumnya umumnya masih menghadapi permasalahan ketidakseimbangan data serta kurang memberikan interpretasi terhadap faktor klinis yang berpengaruh. Penelitian ini mengembangkan model prediksi risiko stroke dengan mengatasi ketidakseimbangan data serta meningkatkan interpretabilitas model. Dataset yang digunakan terdiri dari 5.110 data pasien dengan distribusi kelas yang tidak seimbang. Untuk mengatasi permasalahan tersebut, diterapkan metode SMOTEENN dan algoritma Balanced Random Forest, serta analisis menggunakan pendekatan Explainable Artificial Intelligence (XAI). Hasil evaluasi menunjukkan bahwa model memiliki kinerja yang cukup baik dengan nilai accuracy sebesar 79,26% dan ROC-AUC sebesar 82,01%. Namun, nilai precision yang relatif rendah (15,68%) menunjukkan masih terdapat prediksi positif yang tidak tepat, sebagai konsekuensi dari peningkatan recall  sebesar 74% dalam mendeteksi kasus stroke sebagai kelas minoritas. Analisis SHAP menunjukkan bahwa usia, kadar glukosa, hipertensi, dan indeks massa tubuh merupakan faktor utama dalam prediksi risiko stroke. Penelitian ini memberikan kontribusi dalam meningkatkan deteksi kasus stroke serta menyediakan interpretasi model yang lebih transparan
Analisis Sentimen Opini Publik Terhadap ChatGPT Pada Platform X Menggunakan Pendekatan Tf-Idf dan Support Vector Machine Ariza, Rini; Fatchan, Muhamad; Suprianto, Asep
Journal Automation Computer Information System Vol. 6 No. 1 (2026): Mei
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v6i1.179

Abstract

Perkembangan teknologi kecerdasan buatan seperti ChatGPT telah memicu berbagai tanggapan dari masyarakat yang banyak diungkapkan di media sosial, terutama di Platform X. Namun, penelitian yang secara khusus menganalisis sentimen masyarakat Indonesia terhadap ChatGPT di Platform X masih terbatas, sehingga dibutuhkan analisis untuk memahami kecenderungan opini publik dengan cara yang lebih terukur. Tujuan dari penelitian ini untuk mengidentifikasi dan mengelompokkan sikap publik terhadap ChatGPT serta memberikan gambaran empiris mengenai kecenderungan opini masyarakat. Data yang digunakan dalam penelitian diperoleh melalui proses crawling data di Platform X dengan menggunakan kata kunci “ChatGPT”, selanjutnya diproses melalui tahap preprocessing, pelabelan berbasis lexicon, serta ekstraksi fitur menggunakan metode TF-IDF sebelum dilakukan klasifikasi dengan algoritma Support Vector Machine (SVM). Hasil evaluasi yang menggunakan confusion matrix menunjukkan bahwa model SVM mencapai tingkat akurasi sebesar 81%, precision 75%, recall 67%, dan F1-score 71%. Hasil ini menunjukan bahwa model memiliki performa yang cukup baik dalam mengkategorikan sentimen, walaupun masih terdapat keterbatasan dalam mendeteksi seluruh data positif. Selain itu, ditemukan bahwa sentimen negatif lebih banyak dibandingkan dengan sentimen positif. Penelitian ini memberikan pemahaman mengenai kecenderungan opini masyarakat terhadap ChatGPT dan dapat menjadi acuan untuk pengembangan teknologi serta kebijakan yang lebih responsif terhadap opini publik
Analisis Sentimen Masyarakat Indonesia Terkait Konten Deepfake Pada Platform X Menggunakan Algoritma SVM Maulana, Muhammad Reza; Nugroho, Agung; Suprianto, Asep
Journal Automation Computer Information System Vol. 6 No. 1 (2026): Mei
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v6i1.180

Abstract

Maraknya penyebaran konten deepfake di platform media sosial memunculkan kekhawatiran tentang kemungkinan adanya disinformasi dan manipulasi informasi di ranah digital. Platform media sosial X menjadi salah satu lokasi utama bagi masyarakat untuk menyampaikan pandangan mereka tentang fenomena ini. Penelitian ini bertujuan untuk menganalisis pandangan masyarakat Indonesia mengenai deepfake di platform X dan menilai kinerja algoritma Support Vector Machine (SVM) dalam mengklasifikasikan sentimen. Data diperoleh dengan teknik crawling menggunakan kata kunci “deepfake” pada periode Januari 2024 hingga Juni 2025, menghasilkan 2.116 tweet dan 1.841 data bersih setelah dilakukan preprocessing. Pelabelan data dilakukan dengan pendekatan lexicon-based, dengan ekstraksi fitur menggunakan TF-IDF. Model klasifikasi menggunakan SVM dengan kernel linear serta pembagian data training dan testing dengan rasio 80:20. Evaluasi model menggunakan confusion matrix dengan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa pendapat masyarakat lebih banyak didominasi oleh sentimen negatif. Model SVM mencatat akurasi 80,76%, presisi 68,81%, recall 66,96%, dan F1-score 67,87%, yang menunjukkan performa klasifikasi pada tingkat sedang dalam skema pelabelan berbasis leksikon. Hasil ini dapat digunakan sebagai dasar untuk memantau opini publik terkait fenomena deepfake serta mendukung pengembangan strategi literasi digital di media sosial
Aktivitas Antiinflamasi Ekstrak Metanol Herba Puguntano (Picria fel-terrae Lour.) pada Tikus Putih Jantan yang Diinduksi λ-Karagenan Asfianti, Vivi; Sagala, Vanny Yosepha; Febriady, Andy; Suprianto; Syarifuddin, Shofian
Jurnal Indah Sains dan Klinis Vol 7 No 1 (2026): Jurnal Indah Sains dan Klinis
Publisher : Yayasan Penelitian dan Inovasi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/jisk.v7i1.02

Abstract

Background: Inflammation is a normal protective response to tissue injury caused by physical trauma, chemical exposure, or microbial agents. When excessive, this response may worsen tissue damage and require treatment. Interest in medicinal plants as alternative anti-inflammatory agents remains high because conventional nonsteroidal anti-inflammatory drugs, although effective, may cause adverse effects. Puguntano herb (Picria fel-terrae Lour.) contains flavonoids, saponins, tannins, glycosides, and steroids or triterpenoids that may contribute to anti-inflammatory activity. Objective: This study aimed to evaluate the anti-inflammatory effect of the methanolic extract of puguntano herb in male white rats with λ-carrageenan-induced paw edema and to identify the most effective tested dose. Methods: An experimental design was used in twenty-five healthy male rats divided into five groups. The negative control received 0.5% Na-CMC, the positive control received sodium diclofenac 2.25 mg/kg body weight, and the treatment groups received extract doses of 50, 100, and 200 mg/kg body weight. Acute inflammation was induced by intraplantar injection of 1% λ-carrageenan. Paw volume was measured with a digital plethysmometer for 360 minutes. Percentage of inflammation and percentage of inhibition were analyzed using one-way ANOVA followed by Tukey’s test. Results: The methanolic extract showed anti-inflammatory activity at all tested doses. A dose-dependent pattern was observed, with greater edema suppression at higher doses. The 200 mg/kg body weight dose produced the strongest effect and showed activity comparable to sodium diclofenac. Conclusion: The methanolic extract of puguntano herb demonstrated anti-inflammatory potential in this model, with the 200 mg/kg body weight dose as the most effective treatment for further preclinical study
Aktivitas Kombinasi Ekstrak Daun Sirsak (Annona muricata Linn) dan Kulit Buah Naga (Hylocereus polyrhizus) pada Staphylococcus aureus dan Escherichia coli Suprianto; Sri Zuwinda Zusya Pane; Sumardi
Jurnal Indah Sains dan Klinis Vol 7 No 1 (2026): Jurnal Indah Sains dan Klinis
Publisher : Yayasan Penelitian dan Inovasi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/jisk.v7i1.03

Abstract

Background: Bacterial infections caused by Staphylococcus aureus and Escherichia coli remain clinically relevant due to their ability to cause skin and gastrointestinal infections. The growing concern over antimicrobial resistance has increased interest in plant-derived antibacterial agents. Soursop leaves (Annona muricata L.) and red dragon fruit peel (Hylocereus polyrhizus) contain secondary metabolites that may contribute to bacterial growth inhibition. Objective: This study aimed to evaluate the antibacterial activity of combined ethanolic extracts of A. muricata leaves and H. polyrhizus peel against S. aureus and E. coli, and to determine the most effective extract ratio based on inhibition zone diameter. Methods: This laboratory experimental study used the disc diffusion method on Nutrient Agar medium. The plant materials were extracted by maceration using 70% ethanol. Five extract ratios were tested, namely 0.05:2.95, 0.10:2.90, 0.15:2.85, 0.20:2.80, and 0.25:2.75. Amoxicillin was used as the positive control, while distilled water served as the negative control. Inhibition zones were measured after 24 hours of incubation at 37°C. Results: The extract combinations showed weak antibacterial activity against S. aureus, with mean inhibition zones ranging from 1.08 to 3.18 mm. Against E. coli, four ratios showed weak activity, while the 0.25:2.75 ratio produced moderate inhibition with the highest mean zone of 5.18 mm. The positive control produced a strong inhibition zone of 13.13 mm, whereas the negative control showed no inhibition. Conclusion: The combination of A. muricata leaf and H. polyrhizus peel extracts demonstrated limited antibacterial activity and did not indicate a strong synergistic effect. The 0.25:2.75 ratio showed the best activity against E. coli and may be considered for further optimization using higher concentrations and more specific antibacterial assays.
Pengembangan Bentuk Latihan Tendangan Kuda B Berbasis Kearifan Lokal pada Atlet Pencak Silat G Bula, Yuyun; Haryani, Meri; Kadir, Suprianto; Nurkhoiroh; Irawan, Safri
Jurnal Muara Olahraga Vol 8 No 1 (2025): JURNAL MUARA OLAHRAGA
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jmo.v8i1.2957

Abstract

This research aims to produce a media for the Form of Horse Kick B (Double) Horse Kick Exercises Based on Local Wisdom in Single Art Pencak Silat Athletes. This research is a Research and Development (R&D) using the Plomp design model, the Plomp development model consists of three stages, namely the Initial Investigation Stage, the Prototype Making Stage, and the Assessment Stage. The subjects in this study were divided into two groups, namely the Experimental Group of 15 Pohuwato Sacred Tapak Athletes and the Control Group of 5 Pohuwato Sacred Tapak Athletes. The media of this book is assessed by material experts, linguists, and media experts using questionnaires. The data collection technique in this study is to make observations, distribute questionnaires filled out by athletes as research subjects and test tests and research documentation. The data results are in the form of qualitative data that are analyzed using qualitative descriptive and descriptive statistical analysis. The results of the research were obtained from the product media of the book of Horse Kick Exercise B (Double) with the title of the book Forms of T2lohand Exercises Based on Gorontalo local wisdom. The results of the overall feasibility percentage obtained from material experts, linguists, media experts, and respondent responses (FGD) show that the product of the T2Lohand Exercise book is free of the local wisdom of Gorontalo "Very Feasible" and can be used as a reference in pencak silat training.
Co-Authors Abdul Rahim Adek Chan Adinda Seftia Aditya Prapanca Afriadi Afriadi Agus Kristina Ahmad Hafizullah Ritonga Alam Suhada Alam Suhada Alizha Aisyah Ananda Sri Devy Ancel Mus Silaban Andilala Andraini, Galuh Andy Febriadi Anita Anita Anjur Falden Lingga Annas Reza Annas Reza Aqil, Ibnu Ardina Ardina Ardina Pakpahan Arin Wildani Arinri Misnangin Sritala Ramadani Arinri Misnangin Sritala Ramadani Ariza, Rini Asfianti, Vivi Assaiq, Muhammad Royhan Atika, Nur Azzahra, Innayah BENNI ISKANDAR Chan, Adek Chandra Pranata Cut Fatimah Cut Fatimah Cyndi Veronica De Lux Putra, Effendy Debi Meilani Debi Melani Derlina . Devi Purnama Sari Dewi Kartika Dewi Sartika Munthe Dian Zulkarnain Lubis Dikari Harita Dwi Setio Purnomo Effendy De Lux Putra Eko Cahyono, Eko Elvy Oktima Elvy Oktima Endang Subekti Endang Subekti Enny Fitriani Febriady, Andy Fesri Damai Riang Laia Fesri Damai Riang Laia Fina Dheny Lantika Fitri Mayang Sari Fitriani Nasution Fitriani, Enny Fridelly Mairani Apt G Bula, Yuyun Haryani, Meri Hasrat Masa Harefa Hendri Faisal Heri Pratikto Herliana Herlina H Herlina Herlina Hermansyah . Hetty Wahyuni Hidayat, Chaerul Ihsanul Hafiz Indra Ginting Jakub Tarigan Jakub Tarigan Jelly Syahfitri Johannes Johannes Joko Wibowo Kurniawansyah, Kurniawansyah Kusumastuti, Melati Yulia Leny, Leny Lestari, Wita Lidiya Sasmaita Sihotang Lili Nurmaliza Lisa Syafrida Lukmanul Hakim Lutfi Rohman M. Deddy Harfiansyah Maelani, Mia Mandike Ginting Mandike Ginting Marbun, Intan Coni Caroline Maulana, Muhammad Reza Maya Annisa Lubis Maya Sartika Maya Sartika Melati Yulia Kusumastuti Melati Yulia Kusumastuti Muhamad Fatchan Muhammad Gunawan Muhammad Gunawan Nasution, Lely Fitri Handayani Nilsya Febrika Zebua, Nilsya Febrika Nugroho, Agung Nur Aisyah Pitri Nur Asni Arti Nur Asni Arti Nurasyah Nurasyah Nurkhoiroh Nurkhoiroh Nurlela Petra Saragih Nur’Adina Nur’Adina Nur’Adina Peri Aisyah Zubaidi Permata, Yade Metri Pranata, Chandra Putri Addina Rachel Anastasia R Hutabarat Risma Yeni Rotua Sumihar Sitorus Ruseni Ruth Mayana Rumanti Ruth Mayana Rumanti safri Irawan Sagala, Vanny Yosepha Sahrita Sahrita Samran, Samran Saragih, Safitri Saskhia Safitri Suryodiningrat Sefryantonius Lase Sertin Prilda Sari Sandoro Sertin Prilda Sari Sandoro Shofian Syarifuddin Shofiyah, Analiatus Sindy Andriani Siregar, Riwandi Siregar, Suci Rahmadani Siti Fatimah Hanum Siti Muna Hayati, Siti Muna Siti Nurbaya Siti Nurbaya Sri Handayani SRI RAHAYU Sri Rahayu Sri Zuwinda Zusya Pane Sucihati, Roos Nana Sudarmiatin Sudiyarti, Nining Suhendra Tawarnate Sumardi Sumardi Sumardi . Syamsul, Darwin Syarifuddin, Shofian Tambubolon, Regina Elianda Trisakti, Jhon Citro Unit Three Kartini Vivi Eulis Diana Vivi Eulis Diana Wandani, Elliza Rizki Widi Aribowo Wilda Rizwani Winata, Hanafis Sastra Yumna, Hanin Zai, Arifin Putra Zaman, Mochamad Tanwiruz Zebua, Nilsya Febrika Zebua