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All Journal Agromet Jurnal Ilmu Lingkungan Media Kesehatan Masyarakat Indonesia Jurnal Kesehatan Masyarakat Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) SINEKTIKA: Jurnal Arsitektur Forum Geografi SC (Savana Cendana) : Jurnal Pertanian Konservasi Lahan Kering Jurnal Terapan Abdimas Jurnal Penelitian Pendidikan IPA (JPPIPA) LANGKAU BETANG: JURNAL ARSITEKTUR Jurnal Pengabdian Masyarakat AbdiMas JURNAL PENDIDIKAN TAMBUSAI Jurnal Entomologi Indonesia JURNAL METEOROLOGI DAN GEOFISIKA Journal of Economics and Business Aseanomics Jurnal Perspektif: Jurnal Kajian Sosiologi dan Pendidikan Jurnal Tanah dan Iklim Jurnal Orientasi Bisnis dan Entrepreneurship Jurnal Mandala Pengabdian Masyarakat Prosiding (SIAR) Seminar Ilmiah Arsitektur Jurnal Pengabdian Masyarakat Bhinneka Journal of Accounting, Management and Economics Research Jurnal Pendidikan Geosfer Warta LPM Research of Accounting and Governance Research of Business and Management Journal of Entrepreneurship and Community Innovations Research of Economics and Business Research of Islamic Economics (RIE) Marketing and Business Strategy Jurnal Meteorologi dan Geofisika

Rini Hidayati

Department Of Geophysics And Meteorology, Faculty Of Mathematics And Natural Sciences, IPB University, Dramaga Campus, Bogor, Indonesia 16680

Author-ID : 281843

Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Materials Science & Nanotechnology Physics Public Health Social Sciences Other

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Using 3D-Var Data Assimilation for Improving the Accuracy of Initial Condition of Weather Research and Forecasting (WRF) Model in Java Region (Case Study : 23 January 2015) Novvria Sagita; Rini Hidayati; Rahmat Hidayat; Indra Gustari; Fatkhuroyan Fatkhuroyan
Forum Geografi Vol 30, No 2 (2016): December 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v30i2.2512

Weather Research and Forecasting (WRF) is a numerical weather prediction model developed by various parties due to its open source, but the WRF has the disadvantage of low accuracy in weather prediction. One reason of low accuracy of model is inaccuracy initial condition model to the actual atmospheric conditions. Techniques to improve the initial condition model is the observation data assimilation. In this study, we used three-dimensional variational (3D-Var) to perform data assimilation of some observation data. Observational data used in data assimilation are observation data from basic stations, non-basic stations, radiosonde data, and The Binary Universal Form for the Representation of meteorological data (BUFR) data from the National Centers for Environmental Prediction (NCEP) , and aggregate observation data from all stations. The aim of this study compares the effect of data assimilation with different data observation on January 23, 2015 at 00.00 UTC for Java island region. The results showed that changes root mean square error (RMSE) of surface temperature from 2° C to 1.7° C - 2.4° C, dew point from 2.1o C to 1.9o C - 1.4o C, relative humidity from 16.1% to 3.5% - 14.5% after the data assimilation.

Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim Elania Aflahah; Rini Hidayati; Rahmat Hidayat; Furqon Alfahmi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 2 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.2.405-418

The occurance of forest fire indonesia especially in Kalimantan is a potential threat to sustainable development. The purpose of this research is a early warning system in forest fire in Kalimantan, by estimating the hotspot as indicators based on visibility and climate data. This research using F test, T test, Multiple Linear Regression analysis, Principle Component Analysis (PCA) and Principle Component Regression Analysis (PCR) Vvisibility, hotspot and temperature data have releated, meaning the very big effect with forest fire incident. Test result of T test and ANOVA P-Value less than 0.05, there is influence between independent variables in this visibility and climate factor against dependent variables in this is the number of hotspots. Relation of climate variables to 10 days forest fire in Central Kalimantan R2 adjusted is 0.4699 with F calculate larger from F table is 160.0940. Relation of climate variables to dasarian forest fire in central kalimantan as early warning system has R2 adjusted that is 0.4176 with f calculate larger from table F of 129.3551. Conclusion forest fires following monsoon character and being affected by el nino events, visibility has a closer and can be used as a indicator of forest fire and land intensity, hotspot in a relationship has a close connection with visibility and climate condition at the same decade period, used equations for early warning system for predicted fire genesis indicates with hotspot amount, compiled from climate condition 10 days.

Prediksi Luas Kebakaran Hutan dan Lahan pada Tahun 1997-2005 Akibat Faktor Antropogenik Menggunakan Data CMIP5 Lesi Mareta; Arnida Lailatul Latifah; Rahmat Hidayat; Rini Hidayati
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 2 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.2.324-333

Kebakaran hutan dan lahan (Karhutla) merupakan sebuah bencana lokal dan nasional tahunan yang ada di Indonesia. Kebakaran hutan dan lahan secara garis besar dipengaruhi oleh dua faktor, yaitu terjadi karena alami (Natural forcing) dan/atau aktivitas manusia (Anthropogenic forcing). Aktivitas manusia tersebut melepaskan sejumlah besar karbon dioksida (CO2), karbon monoksida (CO), metana (CH4), oksidanitrat, nitrogen dioksida (NOx) dan partikulat yang bertindak sebagai sumber pemanasan rumah kaca yang telah dipantau oleh satelit beberapa tahun terakhir. Penelitian ini mengkaji luas karhutla dalam beberapa dekade terakhir akibat pengaruh faktor antropogenik di Kalimantan menggunakan dua jenis kelompok data yang akan dianalisa yaitu data tanpa dan dengan komponen antropogenik. Analisa dilakukan dengan memanfaatkan data luaran CMIP5. Studi ini menggunakan pendekatan statistik teknik Random Forests (RF) untuk mengevaluasi kontribusi faktor iklim dan antropogenik terhadap luas karhutla di daerah Kalimantan. Kondisi umum luas karhutla berdasarkan data observasi yang diperoleh dari data GFED. Dua luas tertinggi yang terjadi di Kalimantan selama periode 1997 hingga 2005 terjadi pada tahun 1997 dan 2002 Menurut ketiga model pada tahun 1997 dan 2002 terlihat bahwa faktor antropogenik memberikan pengaruh lebih dominan terhadap luas karhutla di Kalimantan. Pada tahun 1997 dan 2002 luas karhutla akibat pengaruh antropogenik bernilai positif (menyebabkan luas karhutla meningkat).

PENGARUH MUTU PELAYANAN TERHADAP KEPUASAN DAN DAMPAKNYA TERHADAP PERILAKU LOYAITAS (STUDI EMPIRIK PADA PELAYANAN NON AKADEMIK DI UNIVERSITAS YARSI) Rini Hidayati; muslikh muslikh
Jurnal Orientasi Bisnis dan Entrepreneurship (JOBS) Vol 1, No 1 (2020): JUNI 2020
Publisher : Lembaga Penelitian Universitas YARSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33476/jobs.v1i1.1309

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh mutu pelayanan terhadap kepuasan dan perilaku loyalitas mahasiswa serta untuk mengetahui pengaruh kepuasan terhadap perilaku loyalitas mahasiswa di Universitas YARSI. Selain itu penelitian ini juga untuk mengetahui apakah kepuasan memediasi pengaruh mutu pelayanan terhadap perilaku loyalitas. Populasi penelitian ini adalah mahasiswa Universitas YARSI. Penelitiaan dilakukan dengan metode survey dengan cara menyebarkan kuesioner kepada 78 mahasiswa Universitas YARSI. Alat analisis data dengan path analysis. Hasil penelitian menunjukkan bahwa mutu pelayanan berpengaruh positif dan signifikan terhadap kepuasan dan perilaku loyalitas. Kepuasan berpengaruh positif dan signifikan terhadap perilaku loyalitas mahasiswa Universitas YARSI . Hasil penelitian juga menunjukkan bahwa kepuasan memediasi pengaruh mutu pelayanan terhadap perilaku loyalitas mahasiswa di Universitas YARSI.Kata kunci : Mutu Pelayanan, Kepuasan, Loyalitas Mahasiswa, Universitas YARSIThis study aims to determine the effect of service quality on student satisfaction and loyalty behavior and to determine the effect of satisfaction on student loyalty behavior at YARSI University. Besides this research is also to find out whether satisfaction mediates the effect of service quality on loyalty behavior. The research population is YARSI University students. The research was conducted by survey method by distributing questionnaires to 78 YARSI University students. Data analysis tool with path analysis. The results showed that service quality had a positive and significant effect on satisfaction and loyalty behavior. Satisfaction has positive and significant effect on student loyalty behavior at YARSI University. The results also showed that satisfaction mediated the effect of service quality on student loyalty behavior at YARSI University. Keywords: Service Quality, Satisfaction, Student Loyalty, YARSI University

ANALISIS MODEL PREDIKSI AWAL MUSIM HUJAN DI SULAWESI SELATAN Alimatul Rahim; Rini Hidayati; Akhmad Faqih; Mamenun Mamenun
Jurnal Meteorologi dan Geofisika Vol 16, No 2 (2015)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Model prediksi awal musim hujan merupakan salah satu kunci yang dapat digunakan untuk mengurangi resiko kegagalan panen padi yang disebabkan oleh faktor iklim di provinsi Sulawesi Selatan. Model prediksi awal musim hujan dibangun dengan menggunakan data curah hujan observasi Sulawesi Selatan dan anomali suhu muka laut di kawasan Pasifik dan perairan Sulawesi. Pada studi ini dilakukan analisis pemilihan stasiun hujan observasi, penentuan awal musim hujan, analisis komponen utama dan pengelompokan, analisis korelasi awal musim hujan terhadap anomali suhu muka laut, pembangunan model untuk prediksi awal musimhujan dan verifikasi model.Hasil analisis awal musim hujan menunjukkan setiap stasiun hujan mempunyai perbedaan awal musim hujan dengan rata-rata jatuh pada Julian Date (JD) ke-348 (14 Desember). Berdasarkan hasil analisis PCA dan cluster, diperoleh bahwa di Sulawesi Selatan terbagi menjadi 3 cluster wilayah. Cluster 1 mempunyai pola hujan lokal, sedangkan cluster 2 dan 3 mempunyai pola hujan monsun. Pada peta korelasi antara awal musim hujan di Sulawesi Selatan dan anomali suhu muka laut menunjukkan bahwa terdapat korelasi nyata(r≥0.5) antara kawasan Pasifik dan Laut Sulawesi pada cluster 1 dan 2 pada bulan Juni Juli Agustus September(JJAS). Sedangkan pada cluster 3, korelasi nyata hanya pada bulan Juni di perairan Sulawesi. Model prediksi AMH terbaik, pada cluster 2 terdapat di domain prediktor kawasan pasifik dengan nilai r=0.82, sedangkan pada cluster 1 dan 3, terdapat di domain perairan Sulawesi dengan nilai r=0.78 dan r-0.48. Verifikasi model terpilih pada cluster 3 mempunyai RMSE = 3, sedangkan cluster 1 dan 2, nilai RMSE berturut-turut sebesar 16 dan 29. Model prediction of rainy season onset is one of the keys to reduce the risk of paddy harvest failure because of the climate factor in South Sulawesi province. The model prediction for rainy season onset was build using rainfall data in South Sulawesi and SST anomaly in the Pacific Ocean and Sulawesi Sea. This research is conducted to select the rainfall station, determine onset using rainfall data, analyze PCA and cluster, make a correlation between onset and SST anomaly, develop onset model prediction, and verify the selected model. The onset analysis showed that every rainfall stations have different onset with average is on the 348th of Julian Date (December 14th). Based on the PCA and cluster analysis, there were three clusters of rainfall regions. Cluster 1 has a local pattern, Cluster 2 and 3 have a monsoonal pattern. On the map of correlation between onset in South Sulawesi and SST anomaly showed that there were strong correlations with the Pacific Ocean and Sulawesi Sea in clusters 1 and 2 on JJAS. Moreover, it has a weak correlation in cluster 3 in June in the Sulawesi Sea. The best AMH model prediction for cluster 2 was on the Pacific Ocean domain with r=0.82, on cluster 1 dan 3 was on the Sulawesi sea with r=0.78 and r=0.48. The selected model verification showed that the smallest RMSE (RMSE=3) was on cluster 3, moreover, on clusters 1 and 2, the RMSE model was 16 and 29.

Profil Cuaca dan Parameter Nisbah Bowen di Areal Persawahan Kabupaten Indramayu Saat Periode Kering Musim Tanam II Roberto I. C. O. Taolin; Impron Impron; Rini Hidayati; Bregas Budianto
Savana Cendana Vol 2 No 01 (2017): Savana Cendana (SC) - January 2017
Publisher : Fakultas Pertanian, Universitas Timor

The objectives of this experiment were to study the weather profile and parameters of Bowen ratio in the Indramayu rice field area during a dry period season of planting II. Results showed that daily weather fluctuations and Bowen ratio parameters were in line with incoming net radiation of each element. Temperature, dry bulb temperature gradient, wind speed, soil heat flux, and latent heat flux increased at midday and decreased in the early afternoon, whereas wet bulb temperature gradient, humidity, and air pressure were decreased at midday and increased at afternoon. Diurnal variation of net radiation ranged from -47 to 487 Wm-2 with the mean was 241 Wm-2. Mean, maximum and minimum temperatures were 28.3 of 31.5oC, and 20.5oC, respectively. Mean of relative humidity was 66% with the range was 52% to 80%, and mean of air pressure was 101 kPa. Soil heat flux ranged from 10.3 to 19.3 Wm-2 with the mean was 8.1 Wm-2. Mean and range of Bowen ratio were 0.16 and -0.76 to 0.65, accordingly. Mean and range of latent heat flux were 172.9 Wm-2 and -85.3 to 392.3 Wm-2. Surface incoming net radiation during the measurement period was constantly ranged from 183 to 268 Wm-2 with the mean was 231 Wm-2. Mean, maximum and minimum temperatures were 29.4 of 35.5oC, and 20oC, respectively. Mean of relative humidity was 59% with the range was 45% to 67%, and mean of air pressure was 101 kPa. Wind velocity was 0.9 ms-1 and its flow direction was mostly from the Southeast (138.4o). Soil heat flux was high at the end of measurement period; ranged from 4.7 to 14.6 Wm-2 with the mean was 7.9 Wm-2. Mean and range of Bowen ratio were 0.10 and 0.02 to 0.22, accordingly. Latent heat flux value was directly proportional to incoming net radiation, ranged from 134.4 to 226.5 Wm-2 and the mean was 184 Wm-2.

Pendugaan Evapotranspirasi Padi Sawah Dengan Metode Nisbah Bowen Roberto I. C. O. Taolin; Impron Impron; Rini Hidayati; Bregas Budianto
Savana Cendana Vol 2 No 02 (2017): Savana Cendana (SC) - April 2017
Publisher : Fakultas Pertanian, Universitas Timor

The objectives of this experiment were to test the accuracy of the Bowen ratio method of predicting actual evapotranspiration value of paddy rice. The case study in Indramayu regency, held from June to September 2012. The weather components measured by the Bowen Nisbah system are net radiation, wet ball and dry ball temperature, wet ball gradient and the dry ball at altitudes between 140 cm and 160 cm and at altitudes between 160 cm and 180 cm and soil heat flux. Measurements every 30 minutes from 6.00 AM to 6.00 PM. The components measured by AWS are radiation, temperature, humidity, air pressure, rainfall, wind direction, and speed. The daily evapotranspiration value estimated with Bowen ratio was compared to the correspondent value obtained from FAO Penman-Monteith method using a paired t-test. Results shown the rice field daily evapotranspiration in Indramayu measured at a dry period during the second growing season estimated with Bowen ratio method was 3.3 mm, ranging from 2.4 to 4.3 mm. The corresponding values estimated with the FAO Penman-Monteith was 3.5 mm, ranged from 2.4 to 4.6 mm. The daily evapotranspiration values estimated with two approaches were comparable.

Assessment of Livelihood Vulnerability to Climate Change Using Three Index Methods Divina Umanita Iliyyan; Rizaldi Boer; Rini Hidayati
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.88-100

Vulnerability assessment based on composite indices such as Livelihood Vulnerability Index (LVI) or Sistem Informasi Data Indeks Kerentanan (SIDIK) is widely used, and it is practically known as the initial step to determine the adaptation policies for climate change. Various vulnerability assessment methods that have been developed including LVI and SIDIK raise the possibility that different methods can lead to different conclusions. This research aimed to assess whether the results of vulnerability analysis using different methods on the same data offer consistent results. Comparative studies on this topic based on the different indexing methods may also provide a beneficial insight for stakeholders. We tested LVI, LVI-IPCC, and SIDIK methods in Tanah Merah and Lobuk villages in Sumenep Regency, East Java. We collected the primary data based on interviews with households in the field. Climate data (monthly rainfall, maximum, and minimum air temperature) with 0.05o spatial resolution from 2001-2020 was obtained from CHIRPS and TerraClimate. Our results showed that both villages were consistently categorized as vulnerable according to LVI, LVI-IPCC, and SIDIK methods. This result is also consistent at village and household levels. The findings showed difference in the key indicators driving the vulnerability in both villages. The key indicators in Tanah Merah Village were households without waste management, training from government, and no early warning system. In contrast, the key indicators driving the vulnerability for Lobuk were households with small land ownership and households with debt. Further, action recommendations for Tanah Merah are providing waste banks and waste sorting facility, upgrading public capacity through workshops, and adopting social media to share climate-related information. For Lobuk, the recommendations are the determination of regulatory instruments related to space utilization in the coastal area, mapping area affected by climate change, and financial literacy improvement especially promoting savings in the community.

Pengaruh Content Marketing, Sales Promotion, Personal Selling Dan Brand Image Terhadap Minat Beli Pada CV Laditri Karya Tia Hardiyanah; Rini Hidayati; Ananta Hagabean Nasution; Muslikh Muslikh; Siti Marhamah
Journal of Accounting, Management, and Economics Research (JAMER) Vol 1 No 2 (2023): JANUARI 2023
Publisher : Lembaga Penelitian Universitas YARSI

This research was conducted with the aim of testing the effect of content marketing, sales promotion, personal selling and brand image on buying interest in CV Laditri Karya. The sample used in the study was 100 followers of the @laditrikarya Instagram account with a survey method in the form of a questionnaire which was processed using SPSS 24. The results of this study stated that: (1) content marketing had no significant effect on buying interest. (2) sales promotion has a positive and significant effect on buying interest. (3) personal selling has no significant effect on buying interest. (4) brand image has a positive and significant effect on buying interest. (5) content marketing, sales promotion, personal selling and brand image influence buying interest simultaneously

PENILAIAN KENYAMANAN PARIWISATA KOTA DAN PANTAI DI PULAU LOMBOK MENGGUNAKAN METODE HOLIDAY CLIMATE INDEX (HCI) Bambang Dwi Dasanto; Citra Musafirah Isni Wahid; Rini Hidayati
Jurnal Pendidikan Geosfer Vol 7, No 1 (2022): Jurnal Pendidikan Geosfer
Publisher : Universitas Syiah Kuala

Faktor penting yang perlu diperhatikan dalam pengembangan sektor pariwisata adalah kenyamanan iklim. Informasi kenyamanan iklim yang akurat merupakan panduan utama wisatawan dalam proses pengambilan keputusan untuk menentukan tempat wisata. Tujuan dari studi ini adalah menduga tingkat kenyamanan iklim untuk destinasi wisata pantai dan kota di Pulau Lombok dengan menggunakan pendekatan HCI. Untuk mencapai tujuan, penelitian ini terdiri dari dua tahap; pertama, menghitung nilai Humidex berdasarkan data suhu udara dan kelembapan relatif; dan, kedua, menentukan tingkat HCI berdasarkan informasi Humidex, persentase tutupan awan, jeluk hujan dan kecepatan angin. Hasil penelitian menunjukkan bahwa nilai HCI:kota adalah rendah dan ini masuk dalam kategori tidak nyaman dikunjungi terutama pada bulan Desember hingga April. Sementara itu, nilai HCI:pantai adalah tinggi dan masuk dalam kategori nyaman untuk dikunjungi terutama pada bulan Juli, Agustus, dan September.

Co-Authors Abdul Syakur Absar, Rizki Maulana Abytia Etika Banja Achmad Fathoni Akhmad Faqih Al Maula, Sugha Faiz Alfianita, Dinna Alif Akbar Syafrianno Alimatul Rahim Amin Mansur Ana Turyanti Ananta Hagabean Nasution Andini, Pewyni Dinda Andriyani, Dellia Yunia Ardhasena Sopaheluwakan Arinda, Dela Arnida Lailatul Latifah Asaari, Masagus Azhima, Farah Fauzan Bambang Dwi Dasanto Basri, Eko Prasetyo Berlian, Devi Bregas Budianto Byarwati, Muslikh Anis Citra Musafirah Isni Wahid Cokroadhisuryani, Hafidz Daniel Naek Chrisendo Dedldia, Desya Delia, Desya Dhani Mutiari Dipraja, Mazaya Raffrabiha Dirgha A. S. Adinegara Divina Umanita Iliyyan Dwi Adelianingsih Dwi Haryanti, Dwi Elania Aflahah Evi Sepri Yanti Fadhilla Tri Nugrahaini Faizah, Afifah Nur Farhan, Farid Maftuh Fatkhuroyan Fatkhuroyan Fatkhuroyan Fatkhuroyan, Fatkhuroyan Fitri Eriyanti Flegor Hermes Sabuna Furqon Alfahmi Ghazali, Muhammad Gustari, Indra Handoko Handoko Handoko Handoko Hanny Nirwani Hariani, Lilik Sri Harjoko, Tatang Kusuma Hasyim, Ahmad Maulana Hidayat, Nizar Manarul Hutami Nur Saputri Ihsandi, Ezy Natan Ikoh Maufikoh Imelda Sari Impron Impron Indra Gustari Indrawati Indrawati Indrawati, I Isnaniah, Isnaniah Iswari, Maidilla Jati, Aden Bagus Kumoro Kusuma, Rifky Adam Lavenia, Rindy Lesi Mareta Lily Deviastri Lukman Hakim Lukman Hakim M. BL. de Rozari Mahiorh, Aqilah Widyas Maiyulisna, Maiyulisna Mamenun Mamenun Mamenun Mamenun Mansur, Amin Mareta, Lesi Marlia, Ade Meidiati Sekarsari Melya, Doa Ina Rista Muh. Taufik Muh. Taufik Muhammad Syafei Muslikh Muslikh Muslikh Muslikh Muslikh Muslikh Musthofa, Zaini Naufal, Hazza Daffa Ningrum, Ajeng Cahya Noper Tulak Novvria Sagita Novvria Sagita Nugroho, Aditya Pratama Nur Rahmawati Syamsiyah Nurhasan Nurhasan, Nurhasan Oktavian, Rifai Muhammad P. Perdinan Penny Rahmah Fadhillah Perdana Wahyu Santosa Prasetya, Fahrizal Ary Putri Insyani, Nurdawani Rahmadi, Naufal Rasyid Rahmat Hidayat Rahmat Hidayat Rahmat Hidayat Ramadhani, Reyhan Pasha Rayhand, Muhammad Ahmal Revia Muharrami Rizaldi Boer Roberto I. C. O. Taolin Roid, Al Majiid Bagus Safitri, Aida Nur Sagita, Fenny Yusuf Dwi Santikayasa, I Putu Saputra, Arya Bima Saputri, Mahardian Alfajrina Saudah, Urifatus Septina Tri Anggiani Setiawan, Romi Shaleh, Khairul Siti Marhamah Siti Marhamah, Siti Sjafrida Manuwoto Sofyan, Devied Apriyanto Subing, Hesty Juni Tambuati Supari Supari Tania June Tia Hardiyanah Toto Heriyanto Upik Kesumawati Hadi Wafa, Muhammad Husnul Wibawani, Arga Rosa Widyastuti, Novi Dwi Wilda Maulina Wirdanengsih Wirdanengsih Wisnu Setiawan Witasari, Upit Yon Sugiarto Yonny Koesmaryono Yuli Ifana Sari, Yuli Ifana Zhafiraah, Nazma Riska

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