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PENGGUNAAN PENDEKATAN CAPITAL ASSET PRICING MODEL DAN METODE VARIANCE-COVARIANCE DALAM PROSES MANAJEMEN PORTOFOLIO SAHAM (Studi Kasus: Saham-Saham Kelompok Jakarta Islamic Index) Ikhsan, Aulia; Ispriyanti, Dwi; Rahmawati, Rita
Jurnal Gaussian Vol 3, No 1 (2014): 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 (330.052 KB) | DOI: 10.14710/j.gauss.v3i1.4772

Abstract

The great amount of risk arising from stock investment make investors create a portfolio in order to minimize it. To achieve this aim, a portfolio management in which consist of several processes is required. There are three important processes in portfolio management. First, the selection of stocks that will be selected into the portfolio by Capital Asset Pricing Model (CAPM). Second, portfolio optimization by defining the weight of fund allocation for every stock in portfolio by Mean Variance Efficient Portofolio (MVEP), and third, estimating the risk of the optimal portfolio by Variance-Covariance. There are seven stocks picked into portfolio through the research done by Jakarta Islamic Index (JII) group, where the biggest fund allocation given to stock of EXCL (PT XL Axiata, Tbk) and the smallest fund allocation given to stock of ITMG (PT Indo Tambangraya Megah, Tbk). The amount of loss that estimated on 95% confidence level is 2,65% from initial capital invested on stock portfolio during one day holding period after portfolio were created.
PENENTUAN FAKTOR PRIORITAS MAHASISWA DALAM MEMILIH TELEPON SELULER MERK BLACKBERRY DENGAN FUZZY AHP Shega, Hanien Nia H; Rahmawati, Rita; Yasin, Hasbi
Jurnal Gaussian Vol 1, No 1 (2012): 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 (569.133 KB) | DOI: 10.14710/j.gauss.v1i1.575

Abstract

This study aims to determine the priority factor Diponegoro University students in choosing a BlackBerry mobile phone brands. Consumer or buyer is often confused in making the decision to buy a product because of the many factors that affect the choices available. From the method of Analytic Hierarchy Process (AHP) was found to be too subjective assessment of uncertainty for qualitative data. The problems above can be solved by the method of Fuzzy Analytic Hierarchy Process (FAHP), which uses the interval so that the assessment of qualitative data can provide a more objective assessment. The criteria used to be in this research are quality, price, design, and service. The data were taken by spreading questionnaires. From the answer of respondent, calculation of ratio was performed with a consistency ratio (CR). If CR<0.10 it means the answer of respondent is consisten and can be used for Fuzzy AHP. Based on the result of research, it could be concluded that quality was the top priority with 0.278 priority weights, then the service with 0.254 priority weights, design with 0.240 priority weight, and price with 0.228 priority weights.
PEMBANGKITAN SAMPEL RANDOM MENGGUNAKAN ALGORITMA METROPOLIS-HASTINGS Irwanti, Lies Kurnia; Mukid, Moch. Abdul; Rahmawati, Rita
Jurnal Gaussian Vol 1, No 1 (2012): 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 (351.749 KB) | DOI: 10.14710/j.gauss.v1i1.901

Abstract

Generating random samples can be done directly and indirectly using simulation techniques. This final project will discuss the process of generating random samples and estimate the parameters using an indirect simulation. Indirect simulation techniques used if the target distribution has a complicated shape and high dimension of density functions. Markov Chain Monte Carlo (MCMC) simulation is a solution to do it. One of the algorithms that is commonly used is Metropolis-Hastings. This algorithm uses the mechanism of acceptance and rejection to generate a sequence of random samples. In the example to be discussed, Metropolis-Hastings algorithm is applied to generate random samples of Beta distribution and also estimate the parameter value of the Poisson distribution using a proposal distribution random-walk Metropolis.
ANALISIS KERAGAMAN PADA DATA HILANG DALAM RANCANGAN KISI SEIMBANG Diwangkari, Nariswari; Rahmawati, Rita; Safitri, Diah
Jurnal Gaussian Vol 5, No 1 (2016): 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 (642.127 KB) | DOI: 10.14710/j.gauss.v5i1.11038

Abstract

In a research, it is required a design experiment that obtained a conclusion desired. Balanced Lattices design is an experiment which the number of groups is k, the number of treatment is equal to square of the number of groups (k2) and the number of replication is equal to the number of groups plus one (k+1). In Balanced Lattices design often occurs the missing data. There are two methods estimate missing data. The first method is use equation. The second method is iteration. The second method is used if there was more than one missing data. Analysis of varians in of missing data in Balanced Lattices design is counted as in the complete, but the total degrees of freedom and the error degrees of freedom are substracted by m, respectively where m is the number of missing data. Based on the data used, a research conducted to determine the influence of 16 varieties fertilizer to the product of grain. The result of the research shows that in the case of with one missing data resulting that there is influence of varieties fertilizer to the product of grain with the F count is 5,092. The results of the study with two missing data resulting that there is influence varieties fertilizer to the product of grain with the F count is 4,246. The pairwise test of means by LSD test resulting that the variety fertilizer is varieties fertilizer 14. There is no significant different of the influence with varieties fertilizer 12, 11, 15, 3, 8, 4 and 6. Keywords: Balanced Lattices Designs, Analysis of Varians, LSD Test
IMPLEMENTASI METODE SAW DAN WASPAS DENGAN PEMBOBOTAN ROC DALAM SELEKSI PENERIMAAN PESERTA DIDIK BARU (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019) Nabila, Eva Salsa; Rahmawati, Rita; Widiharih, Tatik
Jurnal Gaussian Vol 8, No 4 (2019): 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 (995.655 KB) | DOI: 10.14710/j.gauss.v8i4.26723

Abstract

Multi Attribute Decision Making (MADM) is one of the decision-making methods to determine the best alternative from a number of alternatives based on certain criteria. There are several methods that can be used to solve MADM problems including Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assesmen (WASPAS). Both methods are applied in the selection of prospective new students. In this study, MTsN Kisaran selected 192 students received from 422 registrans and determined certain criteria to get quality students. The criteria determined are the value of the national exam, the value of the Al-Qur'an test, and the value of the academic potential test. The method applied is SAW and WASPAS with the  weighting Rank Order Centroid (ROC). Then a sensitivity analysis is carried out to determine a viable methods selected to obtain optimal results. This research was designed with the help of the Matlab GUI as a computing tool to simplify and accelerate the selection process. Based on the results of the study, the average percentage value of sensitivity for the SAW method was -0.82% while the WASPAS method was -0.87%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the SAW method.                                                   Keywords: Students, SAW, WASPAS, ROC, Sensitivity, GUI Matlab.
ANALISIS INTEGRASI SPASIAL PASAR CABAI MERAH KERITING DI JAWA TENGAH DENGAN METODE VECTOR ERROR CORRECTION MODEL Samantha, Kenia; Tarno, Tarno; Rahmawati, Rita
Jurnal Gaussian Vol 10, No 2 (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.v10i2.29007

Abstract

Curly red chili (Capsicum annuum L.) is one of commodity which has a big influence to the national economy. To maintain the price stability of curly red chili, an integrated market is needed. Spatial market integration is the level of closeness of relations between regional markets and other regional markets. Spatial market integration will be modeled by the Vector Error Correction Model (VECM) method to see the closeness of both short and long term relationships. The object of this study is the price of curly red chili for several regions in Central Java, such as Kota Semarang, Kab. Demak, Kab. Pati, and Kab. Pekalongan in the period January 2016 to December 2019 where the data has met the stationarity test at first level of difference. In Johansen's cointegration test, it was obtained 3 cointegrations, which means that in each short-term period all variables tend to adjust to each other to achieve long-term balance. Granger causality test shows that there is a two-way relationship and the relationship affects one variable to another for all variables. The VECM model obtained has the MAPE accuracy value for HCMK Semarang 15.93%, Kab. Demak 17.61%, Kab. Pati 15.88%, and Kab. Pekalongan 14.49% which can be interpreted that the performance of the model is good. Keywords: Curly Red Chili, Spatial Market Integration, VECM, Johansen's Cointegration, Granger Causality
REGRESI TERBOBOTI GEOGRAFIS DENGAN PEMBOBOT KERNEL KUADRAT GANDA UNTUK DATA KEMISKINAN DI KABUPATEN JEMBER Rita Rahmawati; Anik Djuraidah
FORUM STATISTIKA DAN KOMPUTASI Vol. 15 No. 2 (2010)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.642 KB)

Abstract

The determination of whether  rural areas are considered  poor or no are usually based on  the average cost per capita with a global analysis that needs independent observations and the results are applied to all villages. But it is very likely that poverty would be influenced by space and neighboring areas, so the data between observations are rarely independent. One of the statistical analysis that encounters this spatial problem is Geographically Weighted Regression (GWR), which  gives different weights to each geographical observation. In this paper, the weighting used for the GWR model is kernel bi-square, with its bandwidth values respectively. Optimal bandwidth can be obtained by minimizing the value of cross validation coefficient (CV). The results showed that the GWR model is more effective than the regression to analyze the data on average expenditure per capita in Jember.
FUZZY SUBTRACTIVE CLUSTERING BERDASARKAN KEJADIAN BENCANA ALAM PADA KABUPATEN/KOTA DI JAWA TENGAH Diah Safitri; Rita Rahmawati; Onny Kartika Hitasari
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 2 (2017): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.612 KB) | DOI: 10.26714/jsunimus.5.2.2017.%p

Abstract

Bencana alam adalah bencana yang diakibatkan oleh peristiwa atau serangkaianperistiwa yang disebabkan oleh alam.  Provinsi Jawa Tengah terdiri dari 76kabupaten/kota, kabupaten/kota tersebut dapat dikelompokkan menjadi beberapakelompok berdasarkan frekuensi terjadinya bencana, yang mana masing-masingkelompok mempunyai karakteristik yang berbeda berdasarkan kejadian bencana alam.Metode untuk mengelompokkan yang digunakan dalam penelitian ini adalah FuzzySubtractive Clustering yang merupakan metode dalam fuzzy. Dari penelitian ini dapatdisimpulkan bahwa cluster dengan jari-jari 0,92 – 0,94 merupakan jumlah cluster yangterbaik yang digunakan dalam permasalahan ini. Pada jari-jari (r) antara 0,92 – 0,94diperoleh kesamaan kecenderungan data yang masuk pada setiap cluster, maka clusteryang terbentuk dengan r = 0,92 sampai 0,94 adalah sebagai berikut, cluster 1 terdapat14 Kabupaten/Kota, cluster 2 terdapat 7 Kabupaten/Kota, cluster 3 terdapat 7Kabupaten/Kota, cluster 4 terdapat 5 Kabupaten/Kota, dan Cluster 5 terdapat 2 Kabupaten/Kota.Kata Kunci: bencana alam, fuzzy subtractive clustering
METODE DBSCAN UNTUK PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAWA TENGAH BERDASARKAN PRODUKSI PADI SAWAH DAN PADI LADANG Diah Safitri; Triastuti Wuryandari; Rita Rahmawati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 1 (2017): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (50.227 KB) | DOI: 10.26714/jsunimus.5.1.2017.%p

Abstract

Padi merupakan tanaman yang penting di Jawa Tengah karena nasi merupakan makanan pokok sebagian besar masyarakat di Jawa Tengah. Provinsi Jawa Tengah terdiri dari 35 kabupaten/kota, dalam penelitian ini berdasarkan produksi padi sawah dan padi ladang, kabupaten/kota di Provinsi Jawa Tengah akan dikelompokkan menjadi beberapa kelompok menggunakan metode Density  Based Spatial Clustering Algorithm With Noise (DBSCAN)berdasarkan produksi padi sawah dan padi ladang, dimana pada masing-masing kelompok dapat dilihat karakteristiknya mengenai potensi produksi padi sawah dan padi ladang. Metode DBSCAN adalah metode yang tangguh untuk mendeteksi noise. Kelompok 1 terdiri dari Kabupaten/Kota di Provinsi Jawa Tengah selain yang sudah masuk dalam kelompok 2 dan 3, kelompok 1 adalah kelompok yang mempunyai hasil produksi padi sawah terendah dibandingkan dengan kelompok yanglain. Kelompok 2 adalah kelompok yang mempunyai hasil produksi padi ladang tertinggi dibandingkan dengan kelompok yang lain. Kelompok 2 terdiri dari KabupatenKebumen dan Kabupaten Blora. Kelompok 3 terdiri dari Kabupaten Sragen, Kabupaten Grobogan, Kabupaten Pati, Kabupaten Demak, dan Kabupaten Brebes, adalahkelompok yang mempunyai hasil produksi padi sawah tertinggi dibandingkan dengan kelompok yang lain. Pada penelitian ini ditemukan 2 noise, yaitu Kabupaten Cilacapdan Kabupaten Wonogiri.Kata Kunci: DBSCAN, Padi Sawah, Padi Ladang
PENERAPAN METODE WEIGHTED PRODUCT (WP) DAN ELIMINATION ET CHOIX TRANDUISANT LA REALITÉ (ELECTRE) DENGAN PEMBOBOTAN ENTROPY MENGGUNAKAN GUI MATLAB Eko Adyan Sukanianto; Sugito Sugito; Rita Rahmawati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 1 (2019): 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.7.1.2019.%p

Abstract

Arena of Valor (AOV) adalah mobile game yang diterbitkan oleh Garena di Indonesia. Lima pemain dari setiap tim masing-masing memilih hero yang akan dimainkan dalam permainan.  Dengan memilih hero terkuat dari masing-masing role dapat memudahkan tim dalam menyusun strategi komposisi hero yang akan dipakai untuk meraih kemenangan. Pembobotan masing-masing kriteria dan pemilihan hero terkuat juga menjadi bahan pertimbangan oleh pihak pengembang untuk melakukan kontrol game agar stabil dan seimbang. Alternatif yang digunakan yaitu hero dari masing-masing role (Tank, Warrior, Assassin, Mage, Archer dan Support), sedangkan kriterianya adalah tingkat efek kemampuan (skill), maksimum HP (Health Points), serangan fisik, pertahanan dari serangan fisik, kecepatan pergerakan dan pemulihan HP setiap 5 detik. Dalam penelitian ini, penulis menggunakan metode WP dan ELECTRE untuk memilih hero terkuat dengan pembobotan metode Entropy. Penelitian ini menghasilkan sebuah GUI Matlab yang dapat digunakan untuk memudahkan komputasi dalam penyeleksian. Hasil dari perhitungan menunjukkan bahwa hero terkuat dalam AOV adalah Grakk (Tank), Astrid (Warrior), Ormarr (Warrior), Murad (Warrior/Assassin), Lauriel (Mage/Assassin), The Joker (Archer) dan Alice (Support). Sedangkan kriteria dengan bobot tertinggi adalah tingkat efek kemampuan.
Co-Authors - Siswandari Abd. Rahman, Ika Marlina Abdul Djohar Abdul Hoyyi Abraham Yazdi Martin Abubakar Iskandar Adisti Permatasari Putri Hartoyo Afrizal Sidik Agung Santoso Agus Rusgiyono Agus Suarman Sudarsa Agustifa Zea Tazliqoh Agustinus Lolok AHMAD BURHANUDDIN Ahmad Desta Reswandi Alan Prahutama Alan Prahutama Aldila Abid Awali Alfahari Anggoro, Alfahari Alinda Allima Stefiana Insani Ambariyani Ambariyani, Ambariyani Angga Saputra Anggita Puri Savitri Anggraeni, Devina Nurul Anggraeni, Nadiya Anggraini Susanti Kusumawardani Ani Mardiantari Ani, Adesi Rizki Indri Anik Djuraidah Anindya Aryu Inayati Anjas, Muhammad Annikmah Farida Annikmah Farida, Annikmah Annisa Nur Fathia Anton Suhartono Anwar, M. Syaiful Aprilia, Fadillah Apriliani, Afmi Apriliyani, Neng Virly Arif Kurnia Wijayanto Arsyad, Mufid Asep Mulyana Asep Mulyana Asep Yoyo Wardaya Asmuni Hayat Assayuti, Muhammad Jalaludin Aulia Ikhsan Azahari, Ratnasari Azhari, Ratnasari Aziz, Hilmy Azzahra Nur Safitri Bawamenewi, Venni Alfrianni Betha Noranita Bhinekawati, Henny Budi Warsito Bunyamin Chrysmandini Pulung Gumauti, Chrysmandini Pulung Chyntia Arum Widyastusti Cinta, Nur Cuhandi Dadang Darmawan Danil, Mahmud Daniyati, Dian Dede Syahrudin Dedy Douglas Harianja Denny Hernawan, Denny Devy, Happy Sista Di Asih I Maruddani Diah Safitri Diah Safitri Dian Daniyati Dian E Idris Gentini Dina Rosmalia Listya Utami Dwi Ispriyanti Ebeit Devita Simatupang Eka Nurzannah Eko Adi Sarwoko Eko Adyan Sukanianto Elfito, Fidya Arzita Elvia Ivada Erfan Sofha Esti Zaduqisti Esti Zaduqisti Esti Zaduqisty Eti karini Euis Salbiah Fajar Heru Setiawan Fajar, Malik FANDI AHMAD Farda Nur Sa&#039;adah Farhati, Muthia Zahra Farida, Annikamah Fatima, Suwanto Fauzi, Kiki Rizki Fikri, Aan Maudlihul Firda Megawati Fitri, Rina Nuzulia Fitria Aprilia Suherman Fitrian Fariz Ichsandi Fitta Setiajiati Gamal Abdel Nasser Masikki Ginung Pratidina Gotfridus Goris Seran Habib Ismail, Habib Hafii Risalam Hanien Nia H Shega Haryadi, Wanda Maulana Hasbi Yasin Hasbi Yasin Herliansyah, Muhammad Rudy Heryati, Ade Ika Sartika Ika Trisnawati A Ikha Rizky Ramadani Ikhwanudin Illahi, Muhammad Jaya Indrakusumah, Faruq Indrayati Galugu Indria Tsani Hazhiah Indriani, Agustina Irhamuddin Irmawati Istiroha Ita Dwilestari Iwannudin Leni Laelawati Levina, Geralda Lies Kurnia Irwanti Lina Karlinasari Luthfie, Muhammad Lydon, Novel Anak Lyndon, Novel Anak M. Muslih M. Muslih Husein M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Madani, Hilmi Naufal Maharani Febriana Putri Marthin Nosry Mooy Maruapey, M. Husein Maslachah, Maslachah Mega Susilowati Melati Puspa Nur Fadlilah Moch. Abdul Mukid Moch. Abdul Mukid Mohammad Yahya Mono Pratiko Gustomi Muchammad Aziz Chusen Muhammad Abid Muhyidin Muhammad Afif Muhammad Alfonzo Aprilio Irawan Muhammad Andi Septiadi Muhammad Hilman Rizki Abdullah Muhammad Husein Maruapey Muhammad Husein Maruapey muhammad luthfie Muhammad Rendi Ramdhani Muhammad Yusuf Muhimmi, Aliyatul Mulyana, Ana Mumaiyizah, Mumaiyizah Mursyidah, Euis Mustafid Mustafid Mustafid Mustafid Mustopa, Eliza Nur Fauziah Mutiara Ardin Rifkiani Nabila, Eva Salsa Nabilah, Siti Nafidhatul Firda Eka Syahfitri Nariswari Diwangkari, Nariswari Niken Anggraini Dewi Ningrum, Elis Salsiah Noor Fitri Novian Trianggara Novie Eriska Aritonang Nugraha, Fahri Nugraha, Rayhan Cahya Nur Alfi Khotamin Nur Alfi Khotamin, Nur Alfi Nuranti, Ayu Nurfadhillah, Annisya Nurhikmah Megawati Nuril Faiz Nurohmah, Siti NurRizki, Muhammad NURUL QOMARIYAH Nurul Ramadhany Nurwijayanti Octafinnanda Ummu Fairuzdhiya Onny Kartika Hitasari Oom Komala Pagiling, luther Pratama Ganang Widayaka Pratiko, Mono Puji Retnowati Purnama, Maulana Hasyim Purnamasari, Irma Purwo Jatmiko Putri, Listya Eka R. Oetje Subagdja R. Oetje Subagdja Rachmawati, Siti Hesti Rahayu Ningtyas Rahman Wijaya Laksana Rahman, Muhammad Faizal Rezza Rahmawati, Rizky Devi Rakhmat, Rakhmat Ramdani, Faisal Tri Riana Ikadianti Rifana, Haikal Zaky Rifki Adi Pamungkas, Rifki Adi Rindayati, Rindayati Risqi, Muhammad Riyan Eko Putri Rizki Taher Dwi Kurniawati Rizqi Izrul Alamsyah Robertus Heri Sulistyo Utomo Roestamy, Martin Ronny Gusnadi Rosyadi, Hanang Rosyidah, Haniatur Rudi Santoso Rukun Santoso Rumuzi, Moh. Rusliandy, Rusliandy Rustandi, Resyiana Saffira Rutinaias Haholongan Sabella, Shalsa Putri Sabhariyah, Riesmiati Samantha, Kenia Sandi Sanjaya, Sandi Santoso, Haris Saprudin Saprudin Saprudin, Saprudin Sastrawan, Berry Satriawan, Handi Seftina, Any Shifa Seta Satria Utama Shinta Dewi Rismawati Sirojuddin, Wawan SISWOYO Siti Julaeha, Siti Siti Nur Qomariah Soebagdja, R. Oetje Sri Harini Sri Wijayanti Sri Wijayanti St.Nawal Jaya Suarman, Agus Sudarno Sudarno Sugito - Sugito Sugito Sugiyanto - Sukanianto, Eko Adyan Sukarelawati Sukarelawati Sultoni, Muhammad Rafli Suminar, Mimin Suparti Suparti Supriatna, Hendra Susanti, Mey Syah, Hengky Firman Syahfitri, Nafidhatul Firda Eka Syeh Sarip Hadaiyatullah Tarno Tarno Tarno Tarno Tatik Widiharih Tatik Widiharih Thoha, Silvia Milady Azkiya Tohir, M. Abdullah Tri W., Vian Sigit Tri Widyastuti, Ambar Triana Sofiani Triana Sofiani Trianah Shofiani Triastuti Wuryandari Trisnawati A, Ika Ula, Fashihatul Ulfah Juniarti Siregar umah, khoiroh Umam, Misbahul Fuadil Umar A. J, Sabrina Mubarak USWATUN HASANAH Vica Nurani Wahyudin, Cecep Wati, Eka Masitho Wilis Ardiana Pradana Yuanita Syaiful Yuciana Wilandari Yuciana Wilandari Yulianita . Yunisa Ratna Resti Yunita, Norma Yunita, Trizalia Zahroh, Roihatul Zulfa, Iin Dana Zulfikar, Muhamad