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All Journal EKSAKTA: Journal of Sciences and Data Analysis Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Fourier Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) JTAM (Jurnal Teori dan Aplikasi Matematika) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Jurnal Ilmiah Pendidikan dan Pembelajaran EIGEN MATHEMATICS JOURNAL Variance : Journal of Statistics and Its Applications Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Square : Journal of Mathematics and Mathematics Education ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) Soeropati: Journal of Community Service Journal of Intelligent Computing and Health Informatics (JICHI) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS LOSARI: Jurnal Pengabdian Kepada Masyarakat JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Tepis Wiring : Jurnal Pengabdian Masyarakat Jurnal Statistika dan Komputasi (STATKOM) Journal of Data Insights Prosiding Seminar Nasional Unimus Parameter: Jurnal Matematika, Statistika dan Terapannya Jurnal Statistika Industri dan Komputasi Journal of Mathematics, Computation and Statistics (JMATHCOS) Emerging Statistics and Data Science Journal Amalgamasi: Journal of Mathematics and Applications RAGAM: Journal of Statistics and Its Application
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Peramalan Indeks Harga Konsumen Kota Semarang dengan Metode Autoregressive Integrated Moving Average: Forecasting Consumer Price Index (CPI) of Semarang City using Autoregressive Integrated Moving Average (ARIMA) Method Sesotyaning Harum Prabuningrat; M. Al Haris; Nadia Khoirunnafisa Salma; Putri Wahyu Muharamah; Muhammad Saifuddin Nur
Journal of Data Insights Vol 1 No 1 (2023): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v1i1.124

Abstract

Indeks Harga Konsumen (IHK) merupakan salah satu indikator untuk menentukan tingkat stabilitas ekonomi suatu negara. IHK dapat memberikan informasi mengenai perkembangan harga barang dan jasa yang dibayar oleh konsumen, khususnya masyarakat kota. Pemerintah selalu menjaga mengenai presentase perubahan nilai IHK agar tetap rendah dan stabil sehingga mampu memberikan kesejahteraan untuk masyarakat. Oleh karena itu, perlu adanya peramalan data IHK untuk membantu pemerintah dalam menyusun kebijakan kedepannya. Salah satu metode yang tepat untuk meramalkan data IHK Kota Semarang yaitu dengan menggunakan model time series dengan proses Autoregressive Integrated Moving Average (ARIMA). Berdasarkan hasil analisis diperoleh Model ARIMA terbaik adalah ARIMA (0,1,1). Model terbaik menghasilan nilai kesalahan prediksi berdasarkan nilai MAPE sebesar 6,07% yang menandakan bahwa kemampuan model dalam memprediksi IHK Kota Semarang sangat akurat.
Prediction of Covid-19 Cases in Indonesia Using the Auto Regressive Integrated Moving Average Method: Prediksi Kasus Covid-19 di Indonesia Menggunakan Metode ARIMA Sawiah Adam, Asriyanti; Safira, Rahma; M. Al Haris; Amri, Saeful
Journal of Data Insights Vol 3 No 1 (2025): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v3i1.212

Abstract

This study discusses the use of the ARIMA (Auto Regressive Integrated Moving Average) model to predict the number of COVID-19 cases in Indonesia based on previous data. The results of the analysis show that the ARIMA (1,0,0) model is the most accurate in predicting the spread of COVID-19. Based on this model, the prediction results obtained that confirmed COVID-19 data from January to December 2022 are predicted to decrease. The number of confirmed cases of COVID-19 until December 2022 is predicted to reach 20,0365 cases of spread. So this Covid-19 case still needs special and more serious attention from the government and the public must still be vigilant because based on the results of the study there have been no signs of a significant decrease in the spread of Covid-19 cases. This study provides important insights for the government, medical personnel, and the public in planning strategies for preventing and handling the pandemic
K-Nearest Neighbor (KNN) Method for Weather Data Prediction: Penerapan Metode K-Nearest Neighbour (KNN) Untuk Prediksi Data Cuaca Putri, Agata Dwi Putri; M. Al Haris; Fauzi, Fatkhurokhman; Amri, Saeful
Journal of Data Insights Vol 3 No 1 (2025): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v3i1.214

Abstract

The weather tends to change frequently every day, so weather forecasts are made to be used as an early warning if sudden weather changes occur. By forecasting the weather, losses can be minimized and people are alert to carry out outdoor activities. From this problem, the K-Nearest Neighbor (KNN) method was applied. This method is expected to provide accurate and efficient information to obtain weather predictions for existing conditions. The data used is secondary data. After conducting research on training data (old data) amounting to 80% and test data (new data) amounting to 20%. The accuracy results from the testing data predictions are 75% with a value of k = 8.
Forecasting Red Onion Prices in Riau Islands Using the Seasonal Autoregressive Integrated Moving Average (SARIMA) Method: Peramalan Harga Bawang Merah di Kepulauan Riau Menggunakan Metode Seasonal Autoregressive Integrated Moving Average (SARIMA) Inta Nur Kholifah, Revika; athoni Amri, Ihsan F; Al Haris, M; Izzah, Nasyiatul; Fazza Baita, Miftakhiyah; Nurhalisa, Siti
Journal of Data Insights Vol 2 No 2 (2024): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v2i2.412

Abstract

The price of shallots is one of the crucial commodities that affects economic stability and community welfare in the Riau Islands. The main factors influencing shallot production are seed variety, land, and weather. This study aims to forecast the price of shallots in the Riau Islands using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The data used in this study is sourced from official data and covers a specific period to ensure the accuracy of the forecasting model. The SARIMA (0 1 1) (0 1 1)5 model with the smallest AIC of 2211.59 was selected as the best model based on data analysis and model performance evaluation, with a Mean Absolute Percentage Error (MAPE) of 2.690835 percent, indicating that the model's ability to predict shallot prices in the Riau Islands is very accurate. The prediction results indicate that the price of shallots will decrease in the coming days according to the developed model. Based on these results, this forecast is expected to serve as a reference for the government and market participants in decision-making related to the production, distribution, and control of shallot prices in the Riau Islands.
Forecasting Honda Car Retail Sales Using the Seasonal Autoregressive Integrated Moving Average Method: Peramalan Penjualan Retail Mobil Honda Menggunakan Metode Seasonal Autoregressive Integrated Moving Average Angelina, Lea; Permata, Alia; Arsusma, Jesicha; Masichah, Firochul; Al Haris, M.; Fathoni Amri, Ihsan
Journal of Data Insights Vol 3 No 1 (2025): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v3i1.416

Abstract

This article discusses the forecasting of Honda car retail sales using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The study aims to forecast Honda car retail sales for the upcoming year. Various SARIMA models have been tested to determine the best model, and the results show that the SARIMA (1,1,0)(1,1,1)¹² model provides the lowest Mean Absolute Percentage Error (MAPE) among all tested models, which is 17,74%. Therefore, this model was chosen for forecasting sales over the next 12 months. The forecast results are expected to assist management in making optimal decisions regarding stock and marketing, as well as significantly enhancing operational efficiency and customer satisfaction in the future.
Pemanfaatan Sampah Organik Menggunakan Metode Komposter di Kelurahan Banyumanik Kota Semarang Utiningtyas, Almas Rizki; Nugroho, Muhammad Dimas Alfian; Anggoro, Vernanda Kresna; Ikhwanudin, Muhamad; Nurfuad, Khilmi; Wahyuningsih, Andria; Firdaus, Falah Tinton; Prastiwi, Harvina Sindy; Purnama, Estyaningsi; Al Haris, M.
JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Vol 2 No 3 (2023): Juli
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jipmi.v2i3.127

Abstract

Latar belakang: Sampah merupakan sesuatu yang tidak digunakan atau tidak disukai hasil dari aktifitas manusia. Pengelolaan sampah biasanya dilakukan dengan cara pemilahan sampah sesuai jenisnya masing-masing. Akan tetapi, kurangnya pengetahuan warga tentang pengelolaan sampah organik membuat pengelolaan sampah ini tidak berjalan efektif. Kondisi seperti ini yang masih dialami masyarakat di Rukun Warga (RW) 02 Kelurahan Banyumanik Kota Semarang. Pembuatan pupuk organik dengan metode komposting merupakan salah satu alernatif untuk mengurangi banyaknya sampah yang dihasilkan masarakat. Tujuan: Untuk meningkatkan pengetahuan serta skill masarakat RW 02 Kelurahan Banyumanik dalam memaksimalkan pengolahan sampah menjadi pupuk organik. Metode: Kegiatan dilakukan dengan tahapan persiapan, sosialisasi serta pelatihan pembuatan kompos organik dengan metode komposting. Hasil: Setelah kegiatan dilakukan, warga RW 02 paham akan manfaat dan kemudahan mengolah sampah dengan tong komposter. Pembuatan alat tersebut sangat mudah, karena terbuat dari bahan yang relatif murah dan terjangkau. Pertanyaan yang diajukan kepada warga yang mengikuti pelatihan, membuktikan bahwa mereka paham dan memiliki pandangan yang jelas tentang pengelolaan sampah menggunakan tong komposter. Kesimpulan: Warga RW 02 Kelurahan Banyumanik Kota Semarang lebih memahami pengelolaan sampah yang efektif dan efisien serta tergugah semangatnya untuk mengolah sampah organik menjadi kompos dengan teknologi komposter. Kata kunci: Banyumanik, komposter, pengelolaan sampah, sampah organik ___________________________________________________________________________________________ Background: Waste was unused or unwanted, resulting from human activities. Waste management was typically done by sorting the waste according to its respective types. However, the lack of knowledge among residents regarding organic waste management has hindered effective waste management. Such conditions were still experienced by the community in 02 Hamlet, Banyumanik Urban Village, Semarang City. The production of organic fertilizer through composting methods was one alternative to reduce the amount of waste generated by the community. Objective:  This aimed to enhance the knowledge and skills of the residents of 02 Hamlet, Banyumanik Urban Village, Semarang City Village, in maximizing waste processing into organic fertilizer. Method: The activity was conducted in several stages, including preparation, socialization, and training on organic compost production using the composting method. Result: After the activity, the residents of 02 Hamlet understood the benefits and ease of processing waste using composting bins. The construction of such tools was relatively easy, as they were made affordable. The questions asked to the trained residents proved that they understood and had a clear perspective on waste management using composting bins. Conclusion:  The residents of 02 Hamlet, Banyumanik Urban Village, Semarang City, had been educated about effective and efficient waste management and were motivated to process organic waste into compost using composting technology. Keywords: Banyumanik, composting, organic waste, waste management
PERBANDINGAN MODEL ARIMA DAN ARIMAX UNTUK PERAMALAN TEMPERATUR DI KOTA SEMARANG Adhwaningrum, Arullah Salsabila; Amri, Ihsan Fathoni; Saputri, Atika Dwi; Diani, Nandini Lova; Pratama, Rifin Fadilla; Al Haris, M.
Amalgamasi: Journal of Mathematics and Applications Vol. 3 No. 2 (2024): Amalgamasi: Journal of Mathematics and Applications
Publisher : Universitas Pasifik Morotai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55098/amalgamasi.v3.i2.pp54-64

Abstract

Semarang mengalami banjir yang disebabkan oleh curah hujan yang tinggi dan penurunan temperatur yang drastis, terutama pada bulan Maret. Penelitian ini menganalisis perbandingan antara model AutoRegressive Integrated Moving Average (ARIMA) dan AutoRegressive Integrated Moving Average dengan Exogenous variables (ARIMAX) untuk prediksi suhu di kota Semarang pada tahun 2024. ARIMAX menggabungkan variabel eksogen ke dalam kerangka ARIMA dan memungkinkan pertimbangan faktor eksternal yang dapat mempengaruhi suhu. ARIMAX memberikan fleksibilitas tambahan dengan menyertakan variable eksternal seperti pola curah hujan, yang secara signifikan mempengaruhi variasi suhu. Data yang digunakan terdiri dari 150 observasi, dengan 135 data digunakan sebagai data training dan 15 data sebagai data testing. Setelah melakukan uji kestasioneran dan diferensiasi data, dilakukan pemodelan ARIMA dan ARIMAX. Model terbaik yang dipilih berdasarkan nilai AIC terkecil adalah ARIMAX (3,1,0) dengan nilai AIC sebesar 346.79 dan MAPE sebesar 2.2084%. Hasil menunjukkan bahwa model ARIMAX lebih akurat dibandingkan dengan model ARIMA, dengan kesalahan peramalan yang lebih rendah
Smart Village Application untuk Meningkatkan Pelayanan Publik Pemerintah Desa Katonsari Kabupaten Demak M. Al Haris; Prizka Rismawati Arum; Dannu Purwanto; Ali Imron; Linda Puspitasari; Miftakhul Haris
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2023): Desember 2023
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v5i2.161

Abstract

Pemerintah Desa Katonsari Kabupaten Demak, Provinsi Jawa Tengah, berkomitmen untuk memberikan pelayanan terbaik kepada warganya. Saat ini, pelayanan publik masih dilakukan secara manual yang mengakibatkan ketidakefektifan dan ketidakefisienan dalam pelayanan. Selain itu, sumber daya manusia di Desa Katonsari masih belum memiliki keterampilan teknologi informasi, sehingga perlu meningkatkan kemampuan dalam memanfaatkan teknologi. Untuk mengatasi permasalahan tersebut, tim pengabdian Universtas Muhammadiyah Semarang memberikan solusi dalam bentuk "Smart Village Application" untuk meningkatkan pelayanan publik pemerintah Desa Katonsari. Tahapan kegiatan diawali dengan identifikasi kebutuhan desa dengan pendekatan wawancara, perancangan sistem smart village application, pelatihan penggunaan sistem, dan evaluasi terhadap kinerja dan keefektifan sistem. Sasaran kegiatan ditujukan kepada perangkat desa dan beberapa warga Desa Katonsari sejumlah 30 orang. Berdasarkan kegiatan yang telah dilaksanakan, peserta kegiatan terlihat antusian dan puas terhadap program yang dilaksanakan. Hal tersebut didasarkan pada hasil survei kepuasan yang Tim pengabdian lakukan setelah selesai kegiatan.
Implementasi Sistem Rekomendasi Mitigasi Layanan Sertifikasi Produk Halal Berbasis Blockchain pada LP UMKM Muhammadiyah Kota Semarang Amri, Saeful; M. Al Haris; Purnomo Putro, Dwi; Mandala Adikara Sencoko
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2025): Desember 2025
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v7i2.521

Abstract

The Muhammadiyah Regional Leadership (PDM) of Semarang City has an MSME Development Institute (LP). This institution has a specific mission in developing MSMEs in growing, mobilizing, improving and empowering the potential of MSMEs in the national and global business arena. This community service activity is to implement a distributed system to develop the creative industry and encourage entrepreneurship in the field of digital technology and innovation and can increase responsible consumption and production in terms of halal consumer products for Muhammadiyah MSMEs in Semarang City. This activity includes socialization, training on system operation, implementation, mentoring and monitoring. The results show that the implementation of the system can document the data of MSMEs well by 75%, halal product certification for MSMEs increased by 80%, and skills in operating the system are increasing, based on the satisfaction level reaching 91% after the activity. This program proves that utilizing technology can provide convenience in verifying data for the halal certification process and increase security and reduce the risk of data loss.
Pelatihan Diversifikasi Olahan Produk berbahan Beras Hitam untuk Meningkatkan Nilai Ekonomi di Desa Glesungrejo Kabupaten Wonogiri M. Al Haris; Nurhidajah; Amin Samiasih; Fitri Anjani; Alya Febriyani; Ayesha Nayla Salsadella; Anne Mutiara Wardani; Aulia Dewi Gustiarni; Syafina Amira Firdaus; Ilham Khairul Anam; Marsela Ayu Irdiana; Miftakhurizki; Mualim Tahari
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2025): Desember 2025
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v7i2.528

Abstract

Glesungrejo Village, located in Baturetno Subdistrict, Wonogiri Regency, possesses considerable agricultural potential, with the majority of its population engaged in farming. Nevertheless, this potential has not yet provided optimal contributions to the local economy due to limitations in managing agricultural products to enhance their added value. This condition underscores the need for integrative strategies that can link the utilization of natural resources with the strengthening of the local economy in a sustainable manner. Through a grant from the Ministry of Education, Culture, Research, and Technology under the Community Empowerment scheme, the Student Executive Board of the Faculty of Agricultural Science and Technology, Universitas Muhammadiyah Semarang (BEM FSTP UNIMUS), initiated a program to develop innovations in local agricultural products. The program involved the Women Farmers’ Group (Kelompok Wanita Tani/KWT) as the primary partner in improving product quality and added value, with a focus on the flagship commodity of black rice. The outcomes demonstrated a significant improvement in participants’ understanding of black rice processing, ranging from drying using a cabinet dryer, flour production, to the formulation of food products such as cookies, snack bars, muffins, and herbal beverages. In addition to technical skill enhancement, participants were also able to operate production equipment independently. The establishment of micro-enterprises and the emergence of local cadres as community facilitators serve as indicators of the program’s success in fostering socio-economic empowerment based on post-harvest innovation. Overall, this initiative contributes to strengthening community capacity and enhancing the competitiveness of agricultural products.
Co-Authors Abdul Ghufron Abidah, Khansa Ni'mal Adhwaningrum, Arullah Salsabila Agi Khoerunnisa AHMADI Ainurrofiah, Safira Alambara, Ach Ridoi Ali Imron Ali Imron Alwan Fadlurohman Alya Febriyani Amalia Jihan Syafiqoh Amin Samiasih Amri, Ihsan Fathoni Amri, Saeful Amrullah, Ahmad Amrullah, Setiawan Andy Purnomo, Eko Angelina, Lea Anggoro, Vernanda Kresna Anne Mutiara Wardani Ariska Fitriyana Ningrum Arsusma, Jesicha Arya Praditya Arya, Abimanyu Astuti, Sofi Anggi Asyfani, Yusrisma athoni Amri, Ihsan F Aulia Dewi Gustiarni Aulia Fadhli Boer Ayesha Nayla Salsadella Ayomi, Nun Maulida Suci Ayu Wulandari Azzahrani, Rahma Dewi Barlian, Seftia Amelia Rizki Bunga Ayuningrum Choirudin, Mochamad Fahmi Cika Awani Ayuwida Dannu Purwanto Devina Nadifa Nur Aulia Diani, Nandini Lova Dzeaulfath, Muhammad Eny Winaryati Eny Winaryati Ermawati, Asti Evida Oktaviana Fabiola, Gwenda Fadhilah Azzahra Fadillah, Muhammad Reza Fauzi, Fatkhurokhman Fauzi, Fatkhurrokhman Fazia Risnita Widiyana Fazza Baita, Miftakhiyah Febrianti, Fatika Lovina Firdatul Fahria Firdaus, Falah Tinton Fisabilillah, Muh. Irodat Fitri Anjani Gautama, Rahmad Putra Ginasputri, Heppy Nur Asavia Haris, M Al Haris, M. Al Hidayat, Muhamad Arif Hilma Hanna Mahanna Haqq Himmaturrohmah, Laily Husna, Rizqa El Iffah Norma Hidayati Ihsan Fathoni Ihsan Fathoni Amri Ikhwanudin, Muhamad Ilham Khairul Anam Imelya Susianti Indah Fitriyani Indah Manfaati Nur Indah Manfaati Nur Indriani, Anita Retno Inta Nur Kholifah, Revika Irawan, Alfian Chandra Izzah, Nasyiatul Kaia Raissa Akmalia Khikman, Muhammad Alvaro Khoirul Huda Kholifah , Revika Inta Nur Kinanta, Ailsha Syafa Latisa Alifa Maura Lein, Raymond Bolly Linda Puspitasari Mandala Adikara Sencoko Marsela Ayu Irdiana Masichah, Firochul Masudah, Nurhidayatul Miftakhul Haris Miftakhurizki Mochamad Hasyim Mualim Tahari Mufidatul Ulya Muhammad Hali Mukron Muhammad Rifqy Ardiansyah Muhammad Saifuddin Nur Multiyaningrum, Riska Musa, Fitri Diana Nadia Khoirunnafisa Salma Nikmah Handayani Ninu, Maria Febronia Nugroho, Muhammad Dimas Alfian Nur, Rachmat Kahfiwan Nurfuad, Khilmi Nurhalisa, Siti Nurhidajah Nurmalita, Rahma Nurohmah, Nufita Okiyanto, Rizal Pandiriyan, Muhammad Tegar Permata, Alia Prastiwi, Harvina Sindy Prastyo, Ikwan Pratama, Rifin Fadilla Pratama, Rizky Adi Priambodo, Danu Prissy Nusaiba Yulisa Prizka Rismawati Arum Purnama, Estyaningsi Purnomo Putro, Dwi Puspitasari, Linda Putra, Septian Malik Putri Wahyu Muharamah Putri, Agata Dwi Putri Putri, Melfia Verahma RA. Qonita Syalsabilla Handayani Rahma Nurmalita Ramadhan, Abimanyu Arya Ramadhan, Wulan Nur Rangga Sa'adillah SAP Ridwanulhaq, Alfina Fauziah Rochdi Wasono Rochdi Wasono Ryan Mahardika Sa'adah , Lydia Nur Safira, Elfina Latifah Safira, Rahma Salsabila Rahma Anisa Salsabilla, Havinka Angel Sam'an, Muhammad Sanmas, Safril Ahmadi Saputri, Atika Dwi Sarah, Albertus Dion Sari, Selvi Ana Windia Sawiah Adam, Asriyanti Septi Winda Utami Septia, Siti Fajar Sesotyaning Harum Prabuningrat Shinta Amaria Sidqi, Isnaeni Miftahul Sintya, Salsabila Dhea Siti Hamidah Ardhy Suci Laeliyah Suci Mega Puji Lestari Suherdi, Andri Sulistiya, Indah Sulistiyani, Dwi Supriadin Supriadin Syafina Amira Firdaus Syaharani, Nabbila Dyah Tiani Wahyu Utami Tresiani Yunitasari Tri zahrotun Wahyuningsih Ulinuha, Samikoh Utami, Rossy Prima Nada Utiningtyas, Almas Rizki Wahid, Siti Nurasriyanti Wahyuningsih, Andria Watur, Annisa Cahyaningrum Widiyanti, Karin Dita Widyasari, Velia Arni Wulan Sari Wulan Sari, Wulan Yolan Triky Yulia Fitri Yulia Nur Kumala Yulianita, Tanti