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All Journal Irfani Laa Maisyir Jurnal Ekonomi Islam CESS (Journal of Computer Engineering, System and Science) AlphaMath: Journal of Mathematics Education Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Elemen Jurnal Ilmiah Ekonomi Islam Al Ishlah Jurnal Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JURNAL PENDIDIKAN GLASSER JITK (Jurnal Ilmu Pengetahuan dan Komputer) Tarbawi : Jurnal Ilmu Pendidikan Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Ulul Albab JMM (Jurnal Masyarakat Mandiri) Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan JCES (Journal of Character Education Society) Jurnal Elementary : Kajian Teori dan Hasil Penelitian Pendidikan Sekolah Dasar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Pendekar : Jurnal Pendidikan Berkarakter Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) JPMI (Jurnal Pendidikan Matematika Indonesia) Beta: Jurnal Tadris Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Journal of Educational Research and Evaluation Mimbar Ilmu Jurnal Pemikiran dan Penelitian Pendidikan Matematika (JP3M) Idaarah: Jurnal Manajemen Pendidikan JP3M (Jurnal Penelitian Pendidikan dan Pengajaran Matematika) Jurnal Varian Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Jurnal Abdi Insani IJECA (International Journal of Education and Curriculum Application) Community Development Journal: Jurnal Pengabdian Masyarakat Bakti Cendana: Jurnal Pengabdian Masyarakat JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Al-Liqo: Jurnal Pendidikan Islam Didaktika: Jurnal Kependidikan AR-RIAYAH : Jurnal Pendidikan Dasar Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Mosharafa: Jurnal Pendidikan Matematika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Jurnal Arastirma Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Edu Sociata : Jurnal Pendidikan Sosiologi Penamas: Journal of Community Service Indonesian Journal Of Educational Research and Review Journal of Innovation Research and Knowledge Journal of Community Empowerment and Innovation Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Journal of Training and Community Service Adpertisi International Journal of Educational Research Excellence (IJERE) Jurnal Pengabdian Ahmad Yani Aceh International Journal of Science and Technology Jurnal Riset Teknologi dan Inovasi Pedidikan (JARTIKA) Masyarakat Pariwisata: Journal of Community Services in Tourism JP-Publik INTERNAL (Information System Journal) Protech Biosystems Journal Jurnal Medika: Medika NuCSJo : Nusantara Community Service Journal Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Sharia Economy and Islamic Tourism Journal Governance and Politics (JGP) Study of Scientific and Behavioral Management (SSBM) Jurnal Kependidikan Ki Hajar Dewantara Indonesian Journal of Engineering (IJE) Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat
Syaharuddin Syaharuddin
Universitas Muhammadiyah Mataram
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Perbandingan Metode Newton Midpoint Halley, Metode Olver dan Metode Chabysave Dalam Penyelesaian Akar-Akar Persamaan Non-Linear Hani Yupita Salwa; Syaharuddin Syaharuddin; Linita Sulistina; Elin Nurmayanti; Amalia Rahmatin; Habibi Ratu Perwira Negara
Indonesian Journal of Engineering (IJE) Vol. 3 No. 1 (2022): Edisi September
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama Nusa Tenggara Barat

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

Abstract

Abstrak: Persamaan non-linear kerap menjadi model matematika yang menggambarkan situasi dalam berbagai bidang, seperti bidang Teknik maupun bidang biologi. Penentuan akar penyelesaian persamaan non-linear menjadi hal yang perlu dikaji mengingat kartaktersitk dari persamaan tersebut tidak dapat diselesaikan dengan cara analitik. Tujuan dari penelitian ini adalah untuk mengetahui metode terbaik dalam menentukan akar-akar Persamaan Non-Linier. Metode penelitian dilakukan dengan membandingkan tiga metode, yaitu Metode Newton Midpoint Halley (NMH), Metode Olver, dan Metode Chebyshev dalam menyelesaikan persamaan non-linear berbentuk polinomial, trigonometri, eksponensial, dan campuran (trigonometri dan exponensial). Parameter simulasi menggunakan error sebesar 0.001. Hasil analisis diperoleh bahwa dari tiga metode yang digunakan, laju konvergensi tercepat dalam menentukan akar-akar persamaan non-linear (polinomial, trigonometri, eksponensial, campuran trigonometri dan exponensial) yaitu menggunakan metode Newton Midpoint Halley (NMH). sehingga metode terbaik dalam menyelsaikan akar-akar persamaan non-linear adalah metode Newton Midpoint Halley (NMH). Abstract: Non-linear equations often become mathematical models that describe situations in various fields, such as engineering and biology. Determining the roots of solving non-linear equations is something that needs to be studied considering that the characteristics of these equations cannot be solved by analytical means. The purpose of this research is to find out the best method for determining the roots of non-linear equations. The research method was carried out by comparing three methods, namely the Newton Midpoint Halley Method (NMH), Olver Method, and the Chebyshev Method in solving non-linear equations in the form of polynomials, trigonometry, exponentials, and mixtures (trigonometry and exponential). The simulation parameters use an error of 0.001. The results of the analysis show that of the three methods used, the fastest convergence rate in determining the roots of non-linear equations (polynomial, trigonometry, exponential, mixed trigonometry and exponential) is using the Newton Midpoint Halley (NMH) method. so that the best method for solving the roots of non-linear equations is the Newton Midpoint Halley (NMH) method.
Multi-Variable Agrometeorological Parameter Combination for Drought Early Warning System Using Hybrid SSA–AMBP Algorithm Rezaa, Syahrull; Muhammad Imam Dinata; Anggraini; Syaharuddin
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 2 (2026): Article Research April, 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i2.15885

Abstract

Drought is one of the hydrometeorological disasters that has a significant impact on the agricultural sector, water availability, and food security, thus requiring an accurate and adaptive early warning system. This study aims to develop and evaluate a drought Early Warning System (EWS) model based on a combination of multi-variable agrometeorological parameters using a hybrid approach of Singular Spectrum Analysis (SSA) and Adaptive Model-Based Prediction (AMBP). The agrometeorological data used includes rainfall, air temperature, humidity, solar radiation, wind speed, and other supporting variables processed in the form of monthly time series over a period of ten years. The SSA method is used to perform signal denoising and extract dominant components from the data, while AMBP is applied as an adaptive predictive model to generate SPI-6 drought index forecasts. Model performance is evaluated using RMSE and the coefficient of determination (R²) in the model training and evaluation phases. The results show that the hybrid SSA–AMBP model has the best performance compared to single methods, with an RMSE value of 0.149 and R² of 0.983 in the model training phase, and an RMSE of 0.176 and R² of 0.941 in the model evaluation phase. In addition, the 2026 prediction results show a seasonal pattern with indications of a moderate dry period from October to November. These findings indicate that the developed model demonstrates relatively high predictive accuracy and stability based on RMSE and R² evaluation metrics within the SPI-6 dataset used in this study, and it has the potential to serve as a conceptual basis for decision-support in drought risk mitigation, water resource management, and sustainable agricultural planning.
PENINGKATAN KETERAMPILAN MAHASISWA DALAM MENYUSUN SLR MENGGUNAKAN CHATGPT DAN SCISPACE: PROGRAM PELATIHAN BERBASIS TEKNOLOGI AI Syaharuddin Syaharuddin; Ilham Ilham
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Volume 6 No. 2 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i2.42113

Abstract

Perkembangan Artificial Intelligence (AI) di bidang pendidikan telah berkembang dan dimplementasikan dengan pesat. Kegiatan ini bertujuan untuk memberikan pemahaman yang lebih baik tentang metode SLR serta mengembangkan keterampilan mahasiswa dalam memanfaatkan teknologi AI yaitu ChatGPT dan SciSpace. Dua AI ini sebagai alat bantu dalam penyusunan kajian pustaka atau SLR. Kegiatan pelatihan ini melibatkan 16 mahasiswa semester 5 Program Studi Pendidikan Bahasa Inggris Universitas Muhammadiyah Mataram dengan menggunakan metode ceramah, praktik, dan pendampingan berkelanjutan. Selama pelatihan, peserta diajarkan cara mengoptimalkan kombinasi penggunaan ChatGPT dan Scispace untuk mencari literatur yang relevan dan menyusun SLR dengan optimal. Evaluasi dilakukan melalui angket sebanyak tujuh indikator penilaian berdasarkan respon peserta yang bertujuan untuk mengukur pemahaman dan kepuasan peserta. Hasil evaluasi menunjukkan rata-rata capaian keterampilan mahasiswa sebesar 86,96 dengan skor tertinggi sebesar 88,73 pada indikator penggunaan ChatGPT yang efektif untuk membantu penyusunan SLR. Temuan ini menunjukkan bahwa pelatihan ini efektif dalam meningkatkan keterampilan mahasiswa dalam menyusun SLR menggunakan teknologi berbasis AI.
ETIKA DAN STRATEGI PUBLIKASI ILMIAH BAGI MAHASISWA KELAS RISET FAI: DARI PENULISAN HINGGA SUBMIT KE JURNAL TERAKREDITASI NASIONAL Mukhlishin Mukhlishin; Ahmad Hulaimi; Syaharuddin Syaharuddin; Suhadah Suhadah; Sukarta Sukarta; Muhammad Musfiatul Wardi
Jurnal Pemberdayaan Masyarakat dan Inovasi Vol 5 No 1 (2026)
Publisher : STKIP PGRI SITUBONDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/join.v5i1.2079

Abstract

Scientific publishing skills are one of the important competencies that students must have, especially in the digital age, which demands high academic literacy and writing ethics. This activity aims to improve students' hard skills and soft skills in writing, managing references, and understanding the ethics and procedures of scientific publishing. The methods used in this program are workshops and hands-on practice, which are designed to be practical so that participants can apply the material in real-world contexts. This activity was attended by 45 research class students from the Faculty of Islamic Studies who already had a foundation in academic writing but were not familiar with the process of publishing in reputable scientific journals. The activity was evaluated through questionnaires and direct observation of participants' skills before and after the training. The evaluation results showed an average increase in competence of 82.33%, with the highest achievement in the aspect of mastery of digital publication tools (83.72%) and the lowest achievement in the aspect of understanding article submission procedures (79.53%). Overall, this activity proved to be effective in improving students' abilities in ethics, strategies, and technicalities of scientific publication based on SINTA journals.
Accuracy Comparison of Multivariate Newton-Raphson, Newton-Kantorovich, and Levenberg–Marquardt Methods for Solving Nonlinear Systems Using Numerical Simulation Syaharuddin Syaharuddin; Hendi Hidayah; Vera Mandailina; Saba Mehmood; Wasim Raza
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 3, August 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i3.2603

Abstract

Multivariable nonlinear equation systems often appear in engineering, physics, economics, and artificial intelligence modeling, but often do not have closed analytical solutions. Therefore, accurate, efficient, and stable numerical methods are needed. This study aims to comparatively evaluate three iterative methods, namely Multivariate Newton-Raphson, Newton-Kantorovich, and Levenberg–Marquardt, in solving identical high-complexity multivariable nonlinear systems. Simulations were performed using MATLAB with an error tolerance of 0.001 and a maximum iteration limit of 100. The test system consisted of a combination of trigonometric, exponential, and polynomial functions, resulting in nonlinear interactions that were challenging for each method. The simulation results show that Levenberg–Marquardt excelled with only 6 iterations and a final error of 3.246 × 10⁻¹⁰, indicating high stability and efficiency, followed by Multivariate Newton-Raphson with 13 iterations and an error of 4.606 × 10⁻⁹, while Newton-Kantorovich requires 27 iterations with an error of 5.770 × 10⁻⁷, reflecting slower semi-local corrections. Three-dimensional visualization shows the intersection point of the surface as a solution, providing an intuitive understanding of the iteration trajectory characteristics of each method. The novelty of this research lies in the integrated numerical simulation framework that allows direct quantitative comparison of the three methods on identical systems with the same initial conditions, tolerance, and iteration limits. These findings provide important empirical references for selecting efficient and stable iterative methods for multivariable nonlinear systems, as well as practical guidance for numerical applications in engineering, physics, and scientific computing.
A Comparative Study of Hybrid GARCH–HOLT–BPNN Models for Rainfall Forecasting Using a MATLAB-Based Intelligent Computing System Supardi Supardi; Syaharuddin Syaharuddin; Vera Mandailina; Saba Mehmood
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 3, August 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i3.2636

Abstract

Rainfall forecasting is essential for water resource management, hydrometeorological disaster mitigation, and agricultural planning. This study addressed the limitations of previous research that focused on single models or hybrid approaches combining only two methods, which often failed to capture the simultaneous volatility, trend, and nonlinear characteristics of rainfall data. Monthly rainfall data from 2015 to 2024 were analyzed using three individual models: Generalized Autoregressive Conditional Heteroskedasticity (GARCH), Holt’s Exponential Smoothing, and Backpropagation Neural Network (BPNN). Two hybrid models, GARCH–Holt and GARCH–Holt–BPNN, were also developed to integrate the advantages of statistical and artificial intelligence methods. Hyperparameter tuning was performed to optimize model performance, and forecasting accuracy was evaluated using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). Results showed that GARCH effectively captured short-term volatility, Holt followed trends and seasonal patterns, and BPNN modeled nonlinear relationships despite sensitivity to data variations. The GARCH–Holt hybrid improved stability and accuracy compared to individual models, while the GARCH–Holt–BPNN hybrid achieved the highest predictive performance with a MAPE of 1.13%, indicating strong generalization capability. Forecasted rainfall for 2025 revealed seasonal patterns characterized by periods of heavy, moderate, and light rainfall. A MATLAB-based Graphical User Interface (GUI) was developed to facilitate interactive modeling and visualization. Overall, the proposed hybrid GARCH–Holt–BPNN model provides a more robust and reliable forecasting framework by effectively integrating volatility, trend, and nonlinear components, thereby enhancing predictive accuracy and supporting data-driven decision-making in hydrometeorological applications.
Membangun kompetensi menulis ilmiah siswa MA sebagai fondasi literasi akademik di perguruan tinggi Syaharuddin Syaharuddin; Vera Mandailina; Abdillah Abdillah; Mahsup Mahsup; Sirajuddin Sirajuddin; Yunita Septriana Anwar
Penamas: Journal of Community Service Vol. 6 No. 2 (2026): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/penamas.v6i2.3170

Abstract

The low level of scientific writing skills among high school students poses a challenge in building academic literacy readiness for college. This community service program aims to improve the scientific writing competencies of students at MA Nurul Islam Plus through outreach, training, technology-based mentoring, as well as evaluation and monitoring. The implementation method uses a participatory approach with a student-centered learning model that positions students as active participants in the learning process. The results of the activities demonstrate an improvement in students’ understanding of the basic structure of scientific papers, idea development, and the more systematic use of academic language. Program evaluation yielded an average response score of 77.29, indicating a positive category. The highest indicator was in the understanding of the use of Artificial Intelligence (AI) in scientific writing, while the lowest indicator was in the IMRAD structure, particularly the results and discussion sections. Although there were variations in ability among students, intensive mentoring was able to gradually improve scientific writing skills. Overall, this program effectively strengthened students’ academic literacy as a foundation for readiness to meet the demands of higher education. Literacy-strengthening programs based on mentoring and digital technology need to be continued on an ongoing basis within the madrasah environment.
Keterampilan Kolaborasi dan Literasi Digital dalam Meningkatkan Literasi Numerasi Mahasiswa Vera Mandailina; Hartika Aulia; Abdillah Abdillah; Syaharuddin Syaharuddin
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 1 (2025): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i1.1231

Abstract

Research on improving numeracy literacy among students is important to do considering that numeracy competence is one of the main indicators in facing the challenges of the digital era and the increasingly complex needs of the labor market. This research aims to examine the role of collaboration skills and digital literacy in improving students' numeracy literacy. This type of research is qualitative with a Systematic Literature Review (SLR) approach. Literature sources were obtained from indexed databases, namely Dimensions and Scopus, with a coverage of publications within the last ten years. The results of the analysis show that collaborative skills, digital literacy integration, and the implementation of educational policies have a significant contribution to strengthening student numeracy literacy. Various collaborative and digital learning models such as Cooperative Integrated Reading and Composition (CIRC), Participatory Action Research (PAR), and technology-based interactive platforms are considered effective in increasing student engagement and understanding numeracy concepts in depth. The findings are expected to be the basis for developing adaptive and relevant learning strategies in the context of higher education in the digital era.
Peningkatan Literasi Riset dan Publikasi Ilmiah Bagi Mahasiswa Program Lulus Tanpa Skripsi di Fakultas Agama Islam Syaharuddin Syaharuddin; Mukhlishin Mukhlishin; Muhirdan Muhirdan; Mardiyah Hayati; Husnan Husnan; Nurjannah Nurjannah
Jurnal Medika: Medika Vol. 4 No. 4 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/7e5nnt94

Abstract

Kebijakan Kampus Merdeka yang memberikan alternatif kelulusan tanpa skripsi menuntut mahasiswa untuk menghasilkan luaran akademik setara, seperti publikasi ilmiah. Namun, rendahnya literasi riset dan kemampuan penulisan ilmiah masih menjadi tantangan utama bagi mahasiswa Fakultas Agama Islam (FAI). Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi riset dan keterampilan publikasi ilmiah mahasiswa melalui pelatihan berbasis workshop interaktif. Peserta kegiatan berjumlah 45 mahasiswa yang tergabung dalam Kelas Riset Program Lulus Tanpa Skripsi. Materi pelatihan meliputi konsep dasar penelitian, struktur artikel model IMRAD, pemanfaatan database pengindeks internasional (ScienceDirect, Emerald Insight, PubMed, DOAJ, dan Sinta), serta etika publikasi ilmiah. Evaluasi dilakukan menggunakan angket skala Likert dengan tujuh indikator. Hasil menunjukkan rata-rata tingkat pemahaman peserta sebesar 81,13%, dengan nilai tertinggi pada aspek etika publikasi dan motivasi menulis (88,37%), serta terendah pada kemampuan menelusuri referensi ilmiah (71,16%). Temuan ini menunjukkan bahwa pelatihan berhasil meningkatkan kesadaran riset dan kompetensi akademik mahasiswa, meskipun masih diperlukan pendampingan berkelanjutan untuk penguatan literasi digital dan akses referensi ilmiah. Program ini diharapkan menjadi model penguatan budaya riset di lingkungan Fakultas Agama Islam dalam mendukung implementasi Kampus Merdeka berbasis luaran publikasi ilmiah.
Implementation of Artificial Intelligence and Deep Learning for Optimizing Sustainable Agricultural Production Syaharuddin Syaharuddin
INTERNAL (Information System Journal) Vol. 9 No. 1 (2026)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v9i1.1930

Abstract

This study aims to explore the application of Artificial Intelligence (AI), deep learning technologies, and machine learning approaches for optimizing sustainable agricultural production, particularly in agricultural price forecasting. Using a Systematic Literature Review approach, this research collects and analyzes literature indexed in Scispace, Google Scholar, DOAJ, and Scopus published between 2014 and 2024. The findings indicate that AI, deep learning, Support Vector Machine (SVM), and Relevance Vector Machine (RVM) technologies hold significant potential in improving operational efficiency, food security, and forecasting accuracy in the agricultural sector. These technologies can support various aspects of agriculture, including agricultural price forecasting, crop yield prediction, plant disease detection, and more efficient natural resource management. However, the implementation of these technologies still faces several significant challenges, such as inconsistent data quality, high implementation costs, ethical issues related to data usage, and infrastructure limitations in rural areas. This study concludes that while these technologies offer considerable potential, their successful implementation depends heavily on addressing these challenges and developing policies that support the sustainable adoption of technology in the agricultural sector.
Co-Authors -, Ibrahim - -, Mintasrihardi - Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdul Sakban Abdul Wahab Ade Ubaidah Adhiim Rizky, Abdul Adriyanto Adriyanto Agus Herianto Agus Kurniawan Agus Sapari, Lalu Adi Agustian, Bayu Agustina, Julianti Ahmad Ahmad Ahmad Ahmad Hulaimi Ahmad Mizwar Ahmad Nasrullah Ahmad Syauqani, Ahmad Ai Siti Nurmiati Aini, Kuratul Akhmad Syafruddin Amalia Rahmatin Amina Tusaadia Amini, Ainin Ana Merdekawaty Anggita Denia Anggraini Annisa Aqodiah Aqodiah Ashraf, Hameed Astriyani Oktafian Atun Yulianto Aulia, Hartika Awaluddin Hasrin Ayu Hesti Azizah, Asma Azmiatun Solehah Bahmid Hasbullah Baiq Lukita Rauhul Mardatillah Bambang Subiyakto Biswadip Basu Mallik Burhanuddin Burhanuddin Chen Jihe David Hermansyah Dedy Iswanto Deni Apriansyah Desi Nadila Dewi Pramita Dewi Pramita Dewi Pramita Dhea Davina Dirganti Dian Eka Maya Sari Diki Damma Putra Doni Dwiranata Donna Ekawaty Dwi Noorma Putri Dwi Rizki Muharani Eka Fitriani Eka Fitriani Elin Nurmayanti Elin Nurmyanti Emilia Silvana Sitompul Emilianus Jehadus ENDANG RAHMAWATI Erina Salsabila Ashri Erpin Evendi Ersis Warmansyah Abbas Eta Susilawati Ningsih Etika Pujiana Evi Febriana Evi Febriana, Evi Fahresi M, A. Muh. Farhan Farah Heniati Santosa Farah Heniati Santosa Farah Heniati Santosa Fatayah Fatayah Fatma Nadilla, Dewicca Fatmawati, Fatmawati Febriani, Putri Ayu Febrita Susanti Fety Fejriani Fina Elisa Putri Fira Yuniar Fitri Fitri Gervas, Hamenyimana Emanuel Habib Ratu Perwira Negara Habibi Ratu Perwira Negara Habibi Ratu Perwira Negara Halda Nor Halisa Hani Yupita Salwa Harimansyah, Reza Hartika Aulia Hartika Aulia Hendi Hidayah Hendri Gunawan Herawati, Baiq Candra Heri Susanto Hermansyah, David Herry Porda Nugroho Putro Herry Suprajitno Hidayah, Nurul Iman Himni Ruhmayanti Husnan Husnawati Agustina Husnul Buairi Buairi Husnul Yaqin Ibrahim Ibrahim Ikhwanul Muslimin Ilham Ilham Imam Saputra Indah Rahmawati Intan Dwi Hastuti Intan Purnama Sari Irma Setiawan, Irma irwand irwandi Iwin Ardyawin Jaka Wijaya Kusuma Jauhari, Lutfi Jerito Pareira Jerito Pereira Kamula, Ega Ade Kasmin Kiki Riska Ayu Kurniawati, Kiki Riska Ayu Kikin Saradela Kirti Verma Kohar, Nanang Lailatul Hoyali Laksono Trisnantoro Lala Lalu Sucipto Leni Muharni Linda Linda Linita Sulistina Lutfiyatul Wahdah M. Gufran Ali M. Hendrawansyah M. Sobry M. Yamin Maemunah Maemunah Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup, Mahsup Maimun Malik Ibrahim Malik Ibrahim Malik Ibrahim Mardiyah Hayati Mariyati, Yuni Marzuki Marzuki Mas'ad Mas'ad Maujud, Fathul Maulana, M. Rizki Maulia Putri Maulidia Dwi Meyundasari Mehmood, Saba Melani Putri Misratun Maiti Moh, Solehuddin Mohamad Iwan Fitriani Muhammad Arsyad Muhammad Fatteh Muhammad Hardiansyah Muhammad Imam Dinata Muhammad Khalis Ilmi Muhammad Musfiatul Wardi Muhammad Nizaar Muhammad Rico Muhammad Salahuddin Muhammad Saleh Muhirdan Muhirdan Mukhlishin Mukhlishin Mukminah Mukminah Muntu, Andi Tenri Sri Muslimin Muslimin Muslimin, Ikhwanul Mutiani Muttahid Shah Nadila, Desi Ndiung, Sabina Ni Nengah Suarsini Noer Saudah Novi Yanti Sandra Dewi Nur Amar Fitrianti Nur Farida Nur Fitri Hidayanti Nur Hardiani Nur Insani Nurdiani Azzahrah Nurfiati Nurfiati Nurhalimah, Atin Nurjannah Nurjannah Nurmiwati, Nurmiwati Nurul Hidayati Nurul Hikmah Nurul Hikmah Nuthya Rahmatin Palloan, Agustinus Putri Nurfirani Rahaju, Rahaju Rahmadianty Shafira, Nur Rahman, Yosi Solidatul Rahmawati Rahmawati Raihan, Zulasfiani Rakim Mansurah Ratni Purwasih Raza, Wasim Rezaa, Syahrull Rianto Rianto Rima Rahmaniah Rina Gustina Rini Anjani Rini, Widia Ripai Ripai Rippi Maya Rizky Eka Tuningsih, Johriah Rochgiyanti Rody Satriawan Rohayu H, Rina Rosada Rosada Rosada Rosada Ruslan B Ruslan, Rezky Rahma Saba Mehmood Saba Mehmood Saba Mehmood Saba Mehmood Saddam Saddam Sahara, Ani Sahman Z Sahraini, Alfiana Salma Salma Sangputri Sidik Saparwadi Saparwadi Sari, Nur Indah Sari, Nursina Setiawati, Linda Mardiani Sholehah, Azmiatun Sintayana Muhardini Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Siti Arfa Halisa Siti Fara Handayani Siti Fatimah Siti Hasanah Siti Raihanah Siti Soraya Sitti Fatimah Sangkala Sirate Sri Maryani Sri Mulyono Sri Rejeki Sry Wahyuningsih subakti, hani Sucipto, Lalu Sucipto, Lalu Suhadah Suhadah Sukarta Sukarta Sumarni Sumarni Sumeet Goyal Supardi Supardi Suraya Suraya Sutarto Sutarto Suvriadi Panggabean Suwanti, Vivi Syaifuddin Iskandar Syarifuddin Syarifuddin Tamur, Maximus Tatik Retno Murniasih Taufik Hidayat Tri Damayanty Syamsul Ummul Karyati Usman, Lalu Hamdi Valeria Suryani Kurnila Vera Mandailina Vera Mandailina Vera Mandailina Vera Mandailina, Vera Vera Mendalina Vina Melia Mardika Wahyu Ningsih Wahyudi Rakhman Wasim Raza Wasim Raza Wasim Raza Winda Sari Wisnu Subroto Wiyana As'ari Xinxin Li Ying Zhou Yudin Citradin Yuni Susilowati Yuni Susilowati Yuni Susilowati Yunita Septiana Anwar Yunita Septriana Anwar Zaenab Jamaludin Zaenafi Ariani Zubaidah, Risna