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All Journal DIKSI Media Statistika MATEMATIKA Prosiding Seminar Biologi Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Pendidikan Dasar Nusantara Majalah Kulit, Karet, dan Plastik Jurnal Spektra Bioeksperimen: Jurnal Penelitian Biologi E-Dimas: Jurnal Pengabdian kepada Masyarakat Catharsis JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH Indonesian Journal of Applied Statistics Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) Jurnal Pendidikan Terbuka Dan Jarak Jauh Jurnal Basicedu JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOURNAL OF ENGLISH FOR ACADEMIC JIKAP PGSD: Jurnal Ilmiah Ilmu Kependidikan International Journal for Educational and Vocational Studies JURNAL PENDIDIKAN MIPA Dinasti International Journal of Education Management and Social Science Jurnal Graha Pengabdian Indonesian Journal of Instructional Media and Model Epistema Journal of Education Research Jurnal Ilmiah Mahasiswa Manajemen, Bisnis dan Akuntansi Journal of Advanced Sciences and Mathematics Education Innovation Business Management and Accounting Journal Jurnal Basicedu JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS SERIBU SUNGAI: Journal of Research and Community Service Arty: Jurnal Seni Rupa Pinisi Journal Pendidikan Guru Sekolah Dasar Jurnal Seni Tari
Suparti Suparti
Departemen Statistika, Fakultas Sains Dan Matematika, Universitas Diponegoro
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Grammar Learning At Tertiary Level In Indonesia: A Curriculum Development Of Genre-Task Based Approach Surasmi, Wuwuh Asrining; Suparti, Suparti; Fadilah, Eka
International Journal for Educational and Vocational Studies Vol 2, No 1 (2020): January 2020
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/ijevs.v2i1.1945

Abstract

This article explores the grammar learning in two influential English language teaching (ELT) curriculum approaches to tertiary level and the potential approach to interweave them. The two prominent approaches shaping language learning in Indonesia are communicative language teaching (CLT) specified in Task-based Instruction and Genre approaches rooted in Systemic Functional Language (SFL). Given the various curriculum which comes and goes, bringing together with miscellaneous methods or approaches, it is urgently needed to adapt rather than adopt the wholesale methods or approaches by making the nexus between those two aproaches to fit the context. This article aims at revisiting creative and innovative grammar teaching and learning at tertiary educational level. We elucidate how those approaches foster English as a Foreign Language (EFL), notably, how grammar should be learnt and assessed through them.
MENINGKATKAN PENDAPATAN MASYARAKAT MELALUI PENDAMPINGAN UKM PERMEN SUSU RINTISAN BUMDes DESA GOGODESO KECAMATAN KANIGORO KABUPATEN BLITAR Suparti, Suparti; Muqorobin, Masculine Muhammad; Wahyuningsih, Dwi; Khoirunnisa, Siti Intan; Setiawan, Fuad Alfaridzi; Handayani, Vera
Jurnal Graha Pengabdian Vol 2, No 1 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (662.268 KB)

Abstract

Abstrak:Kegiatan pelatihan Usaha Mikro Kecil Menengah (UMKM) “Permen Susu” di Dusun Ngade, Desa Gogodeso, Kecamatan Kanigoro, Kabupaten Blitar, Provinsi Jawa Timur, Indonesia bekerjasama dengan salah satu UMKM rintisan Badan Umum Milik Desa (BUMDes) bertujuan untuk meningkatkan pendapatan UMKM melalui pemahaman perhitungan harga pokok produksi, penentuan harga jual, pencatatan akuntansi sederhana dan peningkatan nilai produk melalui inovasi bentuk produk. Selama ini, UMKM menentukan harga pokok produksi dan harga jualnya dengan cara memperkirakan biaya yang timbul tanpa memperhitungkan rinciannya. Hal ini karena pengetahuan pengelola UMKM dalam menentukan harga pokok produksi serta pencatatan akuntansi masih sangat sederhana. Metode pelaksanaan pengabdian kepada masyarakat ini dilakukan melalui pendampingan serta pelatihan dalam pengolahan susu sapi menjadi permen susu yang dapat dikonsumsi oleh semua kalangan masyarakat. Hasil dari kegiatan ini adalah meningkatnya pengetahuan dan keterampilan pengelola UMKM, terciptanya produk olahan susu sapi yang bernilai jual tinggi serta mampu mendukung program kerja Desa Gogodeso.Abstract:"Candy milk" Micro Small and Medium Enterprises (UMKM) training activities in Ngade Hamlet, Gogodeso Village, Kanigoro District, Blitar Regency, East Java Province, Indonesia in collaboration with one of the pioneering SME Village Owned Enterprises (BUMDes) aims to increase revenue UMKM through understanding the calculation of the cost of production, determining the selling price, recording simple accounting and increasing the value of products through innovation in the form of products. During this time, SMEs determine the cost of goods manufactured and selling prices by estimating costs incurred without taking into account the details. This is because the knowledge of MSME managers in determining the cost of production and accounting records is still very simple. The method of implementing community service is carried out through assistance and training in processing cow's milk into milk candy which can be consumed by all members of the community. The results of this activity are the increased knowledge and skills of MSME managers, the creation of high-value processed cow milk products and being able to support the work program of Gogodeso Village.
PRODUKTIVITAS JAMUR MERANG (Volvariella volvaceae) PADA MEDIA JERAMI DENGAN PENAMBAHAN BATANG PISANG YANG DITANAM DALAM KERANJANG Noris, Muhammad; Suparti, Suparti
Bioeksperimen: Jurnal Penelitian Biologi Vol 6, No 2: September 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bioeksperimen.v6i2.10539

Abstract

Batang Pisang merupakan limbah pertanian yang mengandung selulosa sekitar 60-65%, hemiselulosa 6-8%, dan lignin 5-10%, dan sisanya adalah zat ekstraktif. Tujuan penelitian ini adalah untuk mengetahui pengaruh penggunaan media campuran batang pisang dan jerami dengan beberapa perlakuan yang berbeda yang ditanam didalam keranjang terhadap produktivitas jamur merang. Metode penelitian yaitu rancangan acak lengkap (RAL) dengan 2 faktor dan 3 kali ulangan. Faktor 1 campuran jerami dan batang pisang : (J1) 0 g : 2000 g, (J2) 500 g : 1500 g, (J3) 1000 g :1000 g, (J4) 1500 g : 500 g, (J5) 2000 g : 0 g. Faktor 2 ketebalan media: (K1) 25 cm, (K2) 30 cm, (K3) 35 cm. Parameter yang diukur adalah jumlah, berat basah dan diameter tubuh buah jamur merang. Data diuji dengan analisis anova 2 jalur. Berdasarkan analisis varians menunjukkan bahwa penggunaan media campuran jerami dan batang pisang dengan perbandingan berbeda memberikan pengaruh terhadap jumlah tubuh buah tetapi tidak berpengaruh terhadap berat dan diameter tubuh buah jamur merang. Berdasarkan analisis varians menunjukkan bahwa ketebalan media tidak memberikan pengaruh terhadap jumlah, berat dan diameter tubuh buah. Perlakuan terbaik jumlah tubuh buah jamur merang adalah (J5K2) 11,00 buah, sedangkan terendah (J4K1) 5,67 buah. Perlakuan terbaik berat basah tubuh buah jamur merang adalah (J1K1) 163,33 g, sedangkan terendah (J3K2) 83,67 g. Perlakuan terbaik diameter tubuh buah jamur merang adalah (J2K3) 3,25 cm, sedangkan terendah (J5K3) 2,29 cm.
Pertumbuhan Bibit F0 Jamur Tiram Dan Jamur Merang Pada Media Alternatif Tepung Biji Jewawut Dengan Konsentrasi Yang Berbeda Suparti, Suparti; Sholihah, Zaimatu
Bioeksperimen: Jurnal Penelitian Biologi Vol 7, No 1: Maret 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bioeksperimen.v7i1.13942

Abstract

Karbohidrat merupakan nutrisi yang paling dibutuhkan miselium jamur untuk tumbuh. Tepung biji jewawut memiliki kandungan karbohidrat yang lebih tinggi, sehingga dapat digunakan sebagai pengganti kentang untuk pembuatan bibit F0. Kentang mengandung  19,10 g karbohidrat, sedangkan tepung biji jewawut memiliki kandungan karbohidrat sebesar 68,32 g. Penelitian ini bertujuan untuk mengetahui pertumbuhan miselium bibit F0 jamur tiram dan jamur merang yang ditumbuhkan pada media tepung jewawut dengan konsentrasi yang berbeda. Penelitian ini menggunakan metode eksperimen dengan Rancangan Acak Lengkap (RAL) pola faktorial terdiri dari 2 faktor yaitu konsentrasi media tepung biji jewawut dan jenis jamur. Teknik analisis data menggunakan deskriptif kualitatif. Berdasarkan hasil penelitian, didapatkan rerata pertumbuhan miselium jamur terbaik pada J2T2 (Konsentrasi tepung biji jewawut 15%, indukan jamur merang) yaitu dengan diameter 3,1 cm dan miselium yang rapat. Sedangkan rerata pertumbuhan miselium jamur terendah pada J1T3 (Konsentrasi tepung biji jewawut 20%, indukan jamur tiram) dengan miselium yang tidak mengalami pertumbuhan.
The Inheritance Pattern of Wayang Orang Art in Padhepokan Tjipta Boedajatutup Ngisor Lereng Merapi Suparti, Suparti; Triyanto, Triyanto; Cahyono, Agus
Catharsis Vol 6 No 2 (2017)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/catharsis.v6i2.19285

Abstract

The purpose of the research is to, the inheritance pattern of Tjipta Boedaya’s Wayang Orang. The method of the research was qualitative method by using the approach of interdicipline which utilized etnochoreology study, anthropology, and sociology. The inheritance pattern of Tjipta Boedaya’s Wayang Orang. The location of the reasearch was at Padhepokan Tjipta Boedaya, dusun tutup ngisor. The technique of the data collection was using observations, interviews, and study dokumen, the technique of data validation was using triangulation, member check, and making thick description. The technique of the theory data analysis was using the concept which has been arraanged before and throughed four analysis stages which were data collection, reduction, presentation, and verification. The result of the research inheritance pattern of Wayang Orang divided into two paths, they were family path and environment path. Inheritance which been inherited including stories, themes, movements, cosmetics,and accompaniment. Inheritance pattern through family and environtment became the key of the establishment of Tjipta Boedaya’ Wayang Orang.
PEMODELAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DAN JAKARTA ISLAMIC INDEX (JII) MENGGUNAKAN REGRESI BIRESPON SPLINE TRUNCATED BERBASIS GUI R Dhea Dewanti; Suparti Suparti; Alan Prahutama
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 2 (2020): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.8.2.2020.134-143

Abstract

The capital market is one of the economic drivers and representations for assessing the condition of companies in a country. Indonesia Stock Exchange (IDX) as one of the institutions in the capital market has 24 types of indexes that can be used as main indicators that reflect the performance of capital market, two of them are the Composite Stock Price Index (CSPI) and the Jakarta Islamic Index (JII). CSPI and JII movements are influenced by several factors, both from domestic and from foreign, such as inflation and the Dow Jones Industrial Average (DJIA). Modeling of CSPI and JII in this study was carried out using biresponses spline truncated nonparametric regression methods using Graphical User Interface (GUI) R with the intention of facilitating the analysis process. This method is used because there is a correlation between CSPI and JII and there is no specific relationship pattern between the response variable (CSPI and JII) and the predictor variable (inflation and DJIA). The best biresponses spline truncated model is determined by the order, number and location of the knots seen based on minimum GCV criteria. By using monthly data from January 2016 to December 2019, the best biresponses spline truncated model is obtained when the model for CSPI is in order 2 and the model for JII is in order 3 with 2 knots for each predictor variable. This model has a coefficient of determination of 85,54437% and MAPE of 2,65595% so that it has a very good ability in forecasting.
ANALISIS SENTIMEN PT TIKI JALUR NUGRAHA EKAKURIR (PT TIKI JNE) PADA MEDIA SOSIAL TWITTER MENGGUNAKAN MODEL FEED FORWARD NEURAL NETWORK Salma Farah Aliyah; Hasbi Yasin; Suparti Suparti; Budi Warsito; Tatik Widiharih
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 2 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.8.2.2020.103-113

Abstract

In the 2000s until now, e-commerce systems have continued to develop throughout the world and even in Indonesia. PT Tiki Jalur Nugraha Ekakurir (PT Tiki JNE) is a freight forwarding company that provides convenience for the public in carrying out online shopping activities, and shipping other goods. The large volume of shipments makes PT Tiki JNE have several problems in service that have led to several kinds of responses from users. Sentiment analysis on Twitter social media can be an option to see how PT Tiki JNE’s users respond to services that have been provided. These responses are classified into positive sentiments and negative sentiments. In this research data processing is performed using text mining as the initial source of numerical data from document data which will later be classified using the Artificial Neural Network model with the Resilient Backpropagation algorithm. Data labeling is done manually and sentiment scoring. The test results show that the best model obtained is FFNN 867-7-1 by using the evaluation model 10-Fold Cross Validation to get an overall accuracy performance of 80.27%, kappa accuracy of 39.13%, precision of 69.04%, recall of 70.56%, and f-measure of 69.8% which can be interpreted that the model used is quite good. Analysis of the results using wordcloud shows the tendency of opinion sentiment categories depending on the words used in the tweet.
PEMODELAN INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN REGRESI SPLINE MULTIVARIABEL Ihdayani Banun Afa; Suparti Suparti; Rita Rahmawati
Jurnal Gaussian Vol 7, No 3 (2018): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.157 KB) | DOI: 10.14710/j.gauss.v7i3.26659

Abstract

The Composite Stock Price Index (CSPI) is a composite index of all types of shares listed on the stock exchange and their movements indicate the conditions occurring in the stock market. CSPI movement is an important indicator for investors to determine whether they will sell, hold, or buy a stock. One of the factors that influence the movement of CSPI is Inflation (X1), Exchange Rate (X2) and SBI rate (X3). This study aims to obtain the best CSPI model using a multivariable nonparametric spline regression approach. The approach is done by nonparametric regression because the regression curve obtained does not show a certain relationship pattern. Spline is very dependent on the order and location of the knot point. The best spline model is the model that has the minimum MSE (Mean Square Error) value. In this study, the best spline regression model is when X1 is 4 order, X2 is 2 order and X3 is 2 order. The number of knots on X1 is 1 knot at 8.22, X2 is 2 knots at 13066.82 and 13781.75 While X3 is 2 knots at 6.6 and 6.67 with value of MSE equal to 6686.85.Keywords: Composite Stock Price Index, Multivariable Spline Regression, MSE
PEMODELAN HARGA EMAS DUNIA MENGGUNAKAN METODE NONPARAMETRIK POLINOMIAL LOKAL DILENGKAPI GUI R Jody Hendrian; Suparti Suparti; Alan Prahutama
Jurnal Gaussian Vol 10, No 4 (2021): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v10i4.33103

Abstract

Investing in gold is a flexible choice because it can be sold at any time and used as an emergency fund. Investors should have the knowledge to predict data from time to time to achieve investment goals. One of the statistical methods for time series data modeling is ARIMA. The ARIMA model is strict with the assumptions that the data must be stationary, the residuals must be normally distributed, independent, and with constant variance, so an alternative model is proposed, namely nonparametric regression model, which has no modeling assumptions requirement. In this study, the daily world gold price data will be modeled using a local polynomial nonparametric model as an alternative because the assumptions in the ARIMA are not fulfilled. The data is divided into 2 parts, namely in sample data from January 2, 2020 to November 30, 2020 to form a model and out sample data from December 1, 2020 to December 31, 2020 used for evauation of model performance based on MAPE values. The chosen best model is the local polynomial model with Gaussian kernel function of degree 5, bandwidth of 373, and local point of 1744 with an MSE value of 482.6420. The local polynomial model out sample data MAPE value is 0.61%, indicating that the model has excellent forecasting capability. In this study, Graphical User Interface (GUI) using R software with the help of shiny package is also built, making data analyzing easier and generating more interactive display output. 
ANALISIS MULTIRESOLUSI WAVELET DENGAN TRANSFORMASI WAVELET DISKRIT BERBASIS GUI R (STUDI KASUS: INFLASI DI INDONESIA PADA PERIODE OKTOBER 2007-MEI 2018) Sania Anisa Farah; Suparti Suparti; Dwi Ispriyanti
Jurnal Gaussian Vol 9, No 2 (2020): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.402 KB) | DOI: 10.14710/j.gauss.v9i2.27816

Abstract

Lately, the wavelet applications are widely used in statistics, one of them is discrete wavelet transform (DWT) which is a non-parametric method for signal analysis, data compression, and time series analysis. As technology becomes more advanced, a software is necessary to support the statistical analysis by such method, one of them being the open source based R. It is often used in statistical computing with command line interface (CLI) which requires the R user to remember the names of syntaxes and functions. It becomes less effective when there are many related statistical analysis involved, so graphical user interface (GUI) is needed to access all of them easily. The testing of multiresolution analysis by DWT for Haar, Daublets, and Coiflets filters with levels 1-6 had been performed by using the inflation data in Indonesia during October 2007-May 2018 taken from Bank Indonesia website. The result shows that the sixth level of DWT gives the best estimation for each filters, and Daublets 20 is the best filter for overall estimation with MSE, MAPE, and MASE values are 0.05755, 3.40678, and 0.35343 respectively. The packages for GUI construction in R are wavelets and shiny. Based on its usage, the GUI is capable of processing the chosen analysis and showing the valid output.
Co-Authors A. Sulaksono, A. A.A. Ketut Agung Cahyawan W Abdul Hoyyi Adhytia, Rizkyhimawan Agus Cahyono Agus Rusgiyono Agus Triyono Akbari, Windusiwi Asih Alan Prahutama Alanindra Saputra Alvita Rachma Devi Amanda Devi Paramitha Aminah Asngad Ananda, Refisa Angelia, Yuni Any Setyaningsih, Any Arianti Suhartini Arieanti, Dian Dinarafika Arief Rachman Hakim Arief Rachman Hakim Arnisa Melani Kahar Asismarta Asismarta, Asismarta AYU LESTARI Azizah, Adilla Nur Badriyah, Ratu Bahtiar Ilham Triyunanto Brillianing Pratiwi Budi Warsito C Yuwono Sumasto, C Yuwono Deden Aditya Nanda, Deden Aditya Dewi, Anggra Lita Sandra Dewi, P A R Dhea Dewanti Di Asih I Maruddani Diah Safitri Dwi Ispriyanti Dwi Sambada Dwi Wahyuningsih, Dwi Dwikoranto Eka Anisha Eka Destiyani Eka Fadilah Eka Wijayanti Erna Sulistianingsih Ernik Yuliana Esti Pratiwi Evelyna, Feby Fadilah, Eka Fitri Juniaty Simatupang, Fitri Juniaty Gina Wangsih Hanifah Nur Aini Happy Suci Puspitasari Hasbi Yasin Ihdayani Banun Afa Immawati Ainun Habibah Intaniasari, Yossinta Iut Tri Utami Iut Triutami Izzudin Khalid, Izzudin Jefferio Gusti Putratama Jody Hendrian Juwanda, Farikhin Karwanto, Karwanto Khansa Amalia Fitroh Khansa, I H Khoirunnisa, Siti Intan Khulaifiyah, Khulaifiyah Lamik Nabil Mu'affa Lanjari , Restu Lintangesukmanjaya, R T Lismiyati Marfuah, Lismiyati Lulu Maulatus Saidah Lulus Darwati, Lulus M. Noris Maman Suryaman Meiliawati Aniska Milawati Milawati Moch. Abdul Mukid Mokhamad Nurjam'i MUHAMAD SHOLEH Muhammad Sulaiman Muhammad Taufan Muqorobin, Masculine Muhammad Mustafid Mustafid Mustofa, Achmad Nastiti, Tri Dyah Netriwati Noer Rachma, Gustyas Zella Nunuk Hariyati Nurina Salma Alfiyyah Nurul Fitria Fitria Rizani Ovie Auliya’atul Faizah Paula Meilina Dwi Hapsari Prastya, Agus Puspita Kartikasari Putra, D A Rahma Dewi Hartati Rahman Kosasih, Fauzy Rahman, Syair Dafiq Faizur Rahmawati Patta, Rahmawati Rahyu Setiani Rambat Rambat, Rambat Riana Ayu Andam Pradewi Richy Priyambodo Rismawati Rismawati Rita Rahmawati Rudi Saputro Setyo Purnomo Rukun Santoso Sa'adah, Alfi Faridatus Sadjati, Ida Malati Safitri, Wardani Ana Salma Farah Aliyah Salsabila Rizkia Gusman Sania Anisa Farah Sanitoria Nadeak, Sanitoria Setiawan, Fuad Alfaridzi Setyoko Prismanu Ramadhan Setyowati, Titik Sholihah, Zaimatu Silvia Elsa Suryana Silvia Nur Rinjani Singgih Subiyantoro Siti Fadhilla Femadiyanti Sofiana Sofiana Sola Fide Sri Budiasih, Sri Sri Sumiyati Sri Wahyuni Sri Wahyuningrum Sudargo Sudarno Sudarno Sudarno Sudarno Sugito - Sugito Sugito Sunardi Sunardi Supeno Supratmi, Nunung Surasmi, W A Surasmi, Wuwuh Asrining Syafruddin Syafruddin Syafruddin*, Syafruddin syah, naziah Syazwina Aufa Syiva Multi Fani T. Mart, T. Tarno Tarno Tarno Tarno Tatik Widiharih Tiani Wahyu Utami Triastuti Wuryandari Tyas Estiningrum Ul Haq, Hasna Faridah Dhiya Vera Handayani Victoria Dwi Murti WAHYU SUKARTININGSIH Wahyu Tiara Rosaamalia Widari Widari, Widari Yasir Sidiq YATIM RIYANTO Yon Haryono Yunianika, Ika Tri Yupitasari, Yupitasari Yusak, Suharno Zein, Secondta Habib Syarifah Zia, Nabila Ghaida Zubaidah, Lailia