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All Journal Jurnal Media Infotama Jurnal Ilmiah Teknik Mesin SemanTIK : Teknik Informasi Jusikom : Jurnal Sistem Komputer Musirawas Dinamisia: Jurnal Pengabdian Kepada Masyarakat IJEMS (Indonesian Journal of Environmental Management and Sustainability) JURNAL PENGABDIAN KEPADA MASYARAKAT JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Alignment: Journal of Administration and Educational Management JURNAL TEKNOLOGI DAN OPEN SOURCE FLUIDA JIKE : Jurnal Ilmu Komunikasi Efek Jurnal Yuridis METIK JURNAL Jurnal Ilmiah Tata Sejuta STIA Mataram Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Mulawarman Law Review Scientific Journal of Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Al-Qadha: Jurnal Hukum Islam dan Perundang-Undangan Jurnal Triton Widya Pranata Hukum : Jurnal Kajian dan Penelitian Hukum Juminten : Jurnal Manajemen Industri dan Teknologi Kosala : Jurnal Ilmu Kesehatan YURISDIKSI : Jurnal Wacana Hukum dan Sains Journal of Informatics Management and Information Technology International Journal of Educational Review, Law And Social Sciences (IJERLAS) ARMATUR : Artikel Teknik Mesin dan Manufaktur Jurnal Manajemen DIVERSIFIKASI International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Journal of Community Development and Disaster Management International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Jurnal Cakrawala Ilmiah PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Journal of Innovation Research and Knowledge Jurnal Ilmu Hukum, Humaniora dan Politik (JIHHP) Jurnal Sosiologi Dialektika Sosial International Journal Cister Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) JPMP Journal of Informatics, Electrical and Electronics Engineering Jurnal Teknologi Informasi Mura Jurnal Al Kahfi : Jurnal Pendidikan Agama Islam MILRev: Metro Islamic Law Review Tabsyir: Jurnal Dakwah Dan Sosial Humaniora Mandub: Jurnal Politik, Sosial, Hukum dan Humaniora Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah West Science Nature and Technology JURNAL AKADEMIK EKONOMI DAN MANAJEMEN Realisasi: Ilmu Pendidikan, Seni Rupa dan Desain JIPITI: Jurnal Pengabdian kepada Masyarakat Jurnal Bengawan Solo: Pusat Kajian Penelitian dan Pengembangan Daerah Kota Surakarta IPSSJ International Journal of Educational Insights and Innovations (IJEDINS) Journal of Studies in Academic, Humanities, Research, and Innovation Computer & Science Industrial Engineering Journal Journal of Global Research in Public Health Jurnal Penelitian Pendidikan Pandecta : Jurnal Penelitian Ilmu Hukum (Research Law Journal) "Indonesian Journal of Environmental Law and Sustainable Development " Jurnal Pengabdian kepada Masyarakat (PEMAS) Jurnal Ilmiah Manajemen Dan Kewirausahaan International Journal of Social Welfare and Family Law Proceeding of International Conference on Social Science and Humanity Medica Majapahit Jurnal Informatika Dan Tekonologi Komputer Journal of Engineering, Electrical and Informatics Proceeding Banten International Conference on Health Advancement & Research (BINAR) Jurnal Publikasi Teknik Informatika
Budi Santoso
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Implementation of Adaptive Neuro-Fuzzy Inference System (Anfis) Method on Rice Price Prediction in Lubuklinggau City Zulfauzi -; Budi Santoso; M. Agus Syamsul Arifin; Siti Nuraisyah
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1847

Abstract

The problem behind this research is the imbalance between the capacity offered and the capacity demanded by the community, resulting in uncontrolled rice prices, so it is necessary to predict rice price in the future to monitor the stability of rice prices in the Lubuklinggau City area. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) method was used to predict future rice prices. The sample used in this study is data on rice price in Lubuklinggau City from January 2016 to December 2020. The result of the prediction of rice price in the Lubuklinggau City area for the next five years. With the accuracy value in rice price predictions based on MSE training, numely 99,9037% and based on the MSE test that is 99,8784%. While the accuracy values of rice price predictions based on MAPE training and testing are 93,2997% and 88,2782%, respectively. For the accuracy value of rice price prediction result based on the MSE and MAPE values respectively namely 99,8935% and 92,9212%. It can be concluded that the ANFIS method is very effectively used for the process of predicting a price or value in the future
Optimization of Glucomanan Extraction from Porang Flour with ATPS (Aqueous Two-Phase System) Using Factorial Design Budi Santoso; Haryadi; Vani Mutiara Pertiwi; Tasya Alya Az-Zahra
Fluida Vol. 18 No. 1 (2025): FLUIDA
Publisher : Department of Chemical Engineering, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/fluida.v18i1.6041

Abstract

Porang tubers are one of the foodstuffs rich in glucomannan content. Glucomannan is widely used in various industrial fields, one of which is pharmaceuticals. To produce pure glucomannan compounds, the method of isolating glucomannan using a two-phase water system (ATPS) solvent has been widely used. One option is isolation with a two-phase water system (ATPS) of inorganic salts ammonium sulfate and ethanol at various concentrations. This study focuses on optimizing the concentration ratio of ammonium sulfate and ethanol for the glucomannan extraction process, carried out with a factorial design and continued analysis with a response surface methodology (RSM) approach. The results of the experimental design at the composition of ammonium sulfate concentration of 17.07% w/w and ethanol of 27.07% w/w showed optimal dry extract acquisition in the two-phase water system (ATPS), with a yield of 81.07%. Characterization of the results of porang flour extract with FTIR produced stretching vibrations of the O-H group at 3427.51 cm-1 and C-O-C (glycosidic bond) at 1020.34 cm-1 and bending vibrations of the -CH functional group at 864.11 cm-1, which are specific values ​​for glucomannan compounds and using visible spectrophotometry, the glucomannan concentration was obtained at 32.67%.
Pengaruh Terpaan Media Akun Media Sosial Instagram @Infocegatansukoharjo terhadap Penyampaian Informasi Bagi Followers Hidayah Putra Wijaya; Budi Santoso
Tabsyir: Jurnal Dakwah dan Sosial Humaniora Vol. 7 No. 3 (2026): Juli : Tabsyir: Jurnal Dakwah dan Sosial Humaniora
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/tabsyir.v7i3.3126

Abstract

This study analyzes the influence of media exposure from the Instagram account @infocegatansukoharjo on the dissemination of information to its followers. This study was motivated by the growing role of Instagram as a local digital communication medium capable of delivering information quickly, conveniently, and in a way that meets the needs of the Sukoharjo community. This study employs a quantitative approach using an online survey of 114 respondents who are followers of the @infocegatansukoharjo account. Media exposure was measured using the indicators of frequency, duration, and attention, while information delivery was measured using information satisfaction, self-identity, integration, and entertainment. The data were analyzed using descriptive statistics and simple linear regression. The results show that media exposure has a positive and significant effect on information delivery, with a significance value of 0.000, a t-value of 11.489, and a coefficient of determination of 54.1%. These findings indicate that the @infocegatansukoharjo account plays a crucial role in strengthening the dissemination of local information via Instagram.
ANALISIS PENGARUH VARIASI SUDUT ELEKTRODA E7018 TERHADAP KEKUATAN TARIK SAMBUNGAN LAS SMAW PADA BAJA JIS G3101 SS400 UNTUK KOMPONEN RANGKA ATAP KOPERASI MERAH PUTIH Budi Santoso; Muhammad Hanif Abu Zakki
ARMATUR : Artikel Teknik Mesin & Manufaktur Vol. 7 No. 2 (2026): Jurnal Armatur (in Progress)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/armatur.v7i2.12161

Abstract

This study aims to analyze the effect of E7018 electrode angle variations at 60°, 75°, and 90° on the tensile strength of SMAW welded joints on JIS G3101 SS400 steel applied as roof frame components of the Koperasi Merah Putih. SS400 steel is one of the most widely used structural materials in building construction due to its adequate mechanical properties and ease of welding. The SMAW process was selected for its flexibility and efficiency in field applications. Welding was performed using an E7018 electrode with a diameter of 3.2 mm at a constant current of 100 A, V-groove 45° joint preparation, 1G flat position, and a material thickness of 6 mm. The research method employed is a quantitative experimental approach with tensile testing conducted in accordance with the ASTM E8 standard. Each electrode angle variation used three specimens, resulting in a total of nine test specimens that were consistently prepared and tested. The test results indicate that the 75° electrode angle produced the highest tensile strength of 429.33 MPa, followed by the 90° angle at 388.00 MPa, and the lowest value recorded at the 60° angle with 370.33 MPa. These differences in tensile strength values are attributed to the influence of electrode angle on the quality of weld penetration and fusion formed during the welding process. The 75° electrode angle proved to produce the most optimal penetration and fusion, and is therefore recommended as the best welding parameter for SS400 steel roof frame components using the SMAW process.
Pemanfaatan Teknologi Image Processing Sebagai Proses Penilaian Fisik Dan Monitoring Kemajuan Progres Proyek Cluster BSD City Ahmad Luthfi Mubarok; Budi Santoso
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 2 (2026): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i2.12239

Abstract

Application of Image Processing Technology for Physical Assessment and Progress Monitoring of Cluster Projects in Bsd City. The construction industry often faces challenges in project monitoring due to subjective assessments, inefficiencies, and risks of data manipulation. This study introduces a vision-based inspection system utilizing image processing and Convolutional Neural Networks (CNN) to automate progress evaluation in the Enchante BSD City housing project, specifically on foundation and column works. Field images were collected and processed through augmentation, pre-processing, and feature extraction, then used to train an EfficientNet model. The model achieved outstanding results with 100% accuracy, precision, recall, and F1-score, validated through both testing datasets and real field experiments. A prototype web-based application was also developed to integrate the AI model into a practical monitoring tool. The findings demonstrate that this approach can provide real-time, objective, and reliable progress evaluation, offering a promising solution to improve efficiency, transparency, and accountability in construction project management.
PENGARUH TERPAAN KONTEN TASYA FARASYA TERHADAP MINAT BELI LUXURY BRAND PADA PERIODE OKTOBER-DESEMBER 2023 Pianica Ananda; Budi Santoso
JIKE: Jurnal Ilmu Komunikasi Efek Vol 8 No 2 (2025): JUNI
Publisher : Prodi Ilmu Komunikasi, FISIP, Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/jike.v8i2.6833

Abstract

Social media has evolved into an important platform for influencers to promote various products, including those from luxury brands. Influencers such as Tasya Farasya, who has a large following on Instagram, play a big role in influencing consumer behavior, including purchase intention towards luxury products. This study aims to analyze the effect of Tasya Farasya's content exposure on the purchase intention of luxury brands on her Instagram followers in the period October to December 2023. This research uses a quantitative approach with data collection techniques through online questionnaires distributed to 100 respondents selected by purposive sampling. The variables studied include content exposure (frequency, duration, and attention) as the independent variable, and purchase intention as the dependent variable. The data obtained were then analyzed using linear regression. The results showed that Tasya Farasya's content exposure did not have a significant influence on the purchase intention of luxury brands, with a contribution of only 6.3%. The more dominant factors in influencing purchase intention are external factors such as price, product quality, and personal motivation, which together contribute 93.7%. The conclusion of this study is that although exposure to influencer content has a slight contribution to purchase intention, external factors are more decisive in the purchase decision of luxury products. The findings provide insights for marketers on the importance of considering other factors beyond influencer content in designing luxury product marketing strategies
Pengaruh konten akun tiktok whitelab terhadap minat beli skincare bagi mahasiswa Fakultas Komunikasi dan Informatika Universitas Muhammadiyah Surakarta Wulan Devita Rahayu; Budi Santoso
Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian Vol 12 No 1 (2026): April 2026 Jurnal Komunikasi Universitas Garut : Hasil Pemikiran dan Penelitian
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jk.v12i1.43667

Abstract

Abstract The rapid growth of social media, particularly video-based platforms like TikTok, has transformed the way consumers, especially younger generations, obtain information and make purchasing decisions. These platforms are utilized by various brands, including Whitelab, to deliver engaging and informative promotional content aimed at shaping perceptions and boosting consumer purchase interest. The objective of this study is to analyze the impact of Whitelab’s TikTok content on purchase interest in skincare products among students in the Faculty of Communication and Informatics (FKI) at Muhammadiyah University of Surakarta. The research method employed in this study is a quantitative approach. The study population consists of 2024 FKI students at Muhammadiyah University of Surakarta who actively use the TikTok app. The research sample consisted of 150 FKI UMS students from the class of 2024 who follow the Whitelab TikTok account. Data collection was conducted via an online questionnaire consisting of two sections: one to measure the level of exposure to Whitelab’s TikTok content and the other to measure interest in purchasing skincare products. The research instrument utilized a Likert scale. Data analysis was performed using SPSS software with simple linear regression and t-tests. The results of this study indicate that Whitelab’s TikTok content has a positive and significant impact on the purchase intent of skincare products among 2024 FKI UMS students. Engaging, informative, and relevant content has been proven to shape positive perceptions, build trust, and drive the desire to purchase, particularly among students as active social media users. This demonstrates that social media, particularly TikTok, plays a crucial role as a digital marketing tool in influencing the behavior of the younger generation. Thus, effective TikTok content can serve as a marketing communication strategy capable of increasing consumer purchase intent, especially among students as active social media users. Keywords: Content; purchasing interest; TikTok; whitelab.   Abstrak Perkembangan pesat media sosial, khususnya platform berbasis video seperti TikTok, telah mengubah cara konsumen, terutama generasi muda, dalam memperoleh informasi dan mengambil keputusan pembelian. Platform ini dimanfaatkan oleh berbagai merek, termasuk Whitelab, untuk menyampaikan konten promosi yang menarik dan informatif guna membangun persepsi serta meningkatkan minat beli konsumen. Tujuan penelitian ini ialah menganalisis pengaruh konten TikTok Whitelab terhadap minat beli produk skincare di kalangan mahasiswa Fakultas Komunikasi dan Informatika (FKI) Universitas Muhammadiyah Surakarta. Metode penelitian yang digunakan dalam penelitian ini ialah metode kuantitatif. Populasi penelitian mencakup mahasiswa FKI Universitas Muhammadiyah Surakarta angkatan 2024 yang aktif menggunakan aplikasi TikTok. Sampel penelitian berjumlah 150 mahasiswa FKI UMS angkatan 2024 yang mengikuti akun TikTok Whitelab. Pengumpulan data dilakukan melalui kuesioner online yang terdiri atas dua bagian, yaitu untuk mengukur tingkat paparan terhadap konten TikTok Whitelab dan minat beli produk skincare. Instrumen penelitian menggunakan skala Likert. Analisis data dilakukan menggunakan program SPSS dengan metode regresi linier sederhana dan uji t. Hasil penelitian ini ialah konten TikTok Whitelab memiliki dampak positif dan signifikan pada minat beli produk skincare pada mahasiswa FKI UMS Angkatan 2024. Konten yang menarik, informatif, dan relevan terbukti mampu membentuk persepsi positif, menumbuhkan kepercayaan, serta mendorong keinginan untuk membeli, terutama pada mahasiswa sebagai pengguna aktif media sosial. Hal ini menunjukkan bahwa media sosial, khususnya TikTok, memiliki peran penting sebagai sarana pemasaran digital dalam memengaruhi perilaku konsumen generasi muda. Dengan demikian, konten TikTok yang efektif dapat menjadi strategi komunikasi pemasaran yang mampu meningkatkan minat beli konsumen, terutama di kalangan mahasiswa sebagai pengguna aktif media sosial. Kata-kata kunci: Konten; minat beli; Tiktok; whitelab.
PERANCANGAN SISTEM ABSENSI KEHADIRAN KARYAWAN MENGGUNAKAN BARCODE BERBASIS CLIENT SERVER Budi Santoso; Triyanto Triyanto
Jurnal Publikasi Teknik Informatika Vol. 1 No. 1 (2022): Januari : Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v1i1.96

Abstract

The attendance system aims to make it easier in terms of employee attendance at the office and this system uses visual basic software. The problem why you have to use this system is because the employee attendance method still uses the manual method so that it cannot be effective and efficient at work. The advantage that can be obtained by using this system is that it can make it easier for employees in terms of attendance at the office by using computer facilities using barcodes. The benefits provided to the company are to simplify and speed up the work of employees so that they can improve employee discipline at the company PT. Priorit
Penerapan Recurrent Neural Network untuk Prediksi Kesehatan Sapi Berdasarkan Analisis Data Sensor Fisiologis Riski Kurniawan; Budi Santoso; Bunga Intan
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7937

Abstract

Livestock health, particularly of cattle, is a crucial factor in the livestock industry as it directly affects productivity and animal welfare. However, health monitoring in the field is still largely conducted manually, leading to delays in early disease detection and increasing the risk of economic loss for farmers. This study aims to develop and evaluate a cattle health prediction model using a Recurrent Neural Network (RNN) approach based on physiological sensor data such as body temperature, heart rate, and physical activity. The data were collected in real time using Internet of Things (IoT) technology at a farm located in Tanah Periuk Village, Musi Rawas Regency. The results show that the developed RNN model achieved an accuracy of 98.88%, precision of 0.99, and recall of 0.99, indicating high performance in detecting potential cattle health issues. These findings are expected to provide a practical solution for farmers to support timely and accurate decision-making and improve overall livestock welfare.
ANALISIS PERBANDINGAN ALGORITMA DALAM MENEMUKAN POLA PEMBELIAN PRODUK PADA DATA PENJUALAN Antika dewi Asi; Budi Santoso; Nelly Khairani Daulay; Harma Oktafia Oktafia Lingga Wijaya
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10951

Abstract

The development of information technology in the Industry 4.0 era has driven significant changes in how organizations utilize data to support strategic decision-making. Data utilization is no longer limited to transaction recording but has shifted toward data processing as a source of predictive information that plays an important role in competitive business management. The urgency of this research is reinforced by the relatively low level of adoption of data-driven analytical systems among Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, including the outdoor equipment rental sector. In the modern business environment, decision-making can no longer rely solely on intuition but must be supported by data and predictive analysis to improve efficiency and competitiveness. Therefore, the development of a Smart Inventory Management system based on Business Intelligence, implementing the Apriori and FP-Growth algorithms at SAVANA Outdoor Store, is expected to provide automatic recommendations for inventory requirements based on real and representative historical transaction patterns. Based on the results of processing outdoor equipment rental data using the Apriori algorithm with a confidence value of 68%, several association rules were obtained, indicating a tendency of dissimilar borrowing patterns (mutually exclusive relationships) among certain types of equipment. Meanwhile, the processing results using the FP-Growth algorithm demonstrated better performance. This algorithm successfully generated a total of 21 association rules, with the top ten rules having confidence values ranging from 70% to 72%.
Co-Authors A.Haitami ABDUL RACHMAD BUDIONO Achmad Fauzi Febrianto Madjri Adhany, Putri Cheria Adhimas Putra Pradana Ady Rendra Bachtiar Afriza Citra Rahmadhini Agbal Andrean Agus Sulistyono Agustinus Budi Santoso Ahmad Luthfi Mubarok Ahmad Sobri Ahmad Syahputra Ahmad Yusof Ambo Tang Amilia, Rendi Kiki Rizki Ananda Firza Ramadhan Andri Anto Andri Andri Anto Tri Susilo, Andri Anto Andriani, Desta Angga Marta Arisandy Anggriya Utami Anisa Putri Anisa Rahmawati Antika dewi Asi Anton Yusuf Arief Kurniawan Arif Ardiansyah Arif rachman Arik Susbiyani Armanto Armanto Arvianto, Ronny Arya Brahmanta Astrid Maharani Aulia Pratama Bachtiar Marbun Bagus Rahmat Budiarto Bintoro Wardiyanto Bolla, Ibrahim Noch Bunga Intan Bunga Intan Bunga Intan Bunga Intan Cahyadi, H. Aditya Cane Lukisari Chairil Ezward, Chairil Cindi Wulandari DA Retnowulan Danang Danang Dasrun Hidayat Deby Ansyory Deni Nurdiansyah Devi Fitriani Dewi Pratiwi Sumarni Didik Artino Jamaludin Dilla Monalisa Dwi Putra Buana Sakti Dyah Ayu Retno Wulan Dyah Ayu Retnowulan eddy hermanto Edi Susilo Eko Budi Satoto Eko Siswanto Elfi Indrawanis, Elfi Elisa, Erlin Emy Khoironi Endah Tri Wulandari Endah Wahjuningsih Ery Agus Priyono Fadilatul Hasanah Fahmi Deniyasa Fatimah Dian Ekawati Fifi Siti Fauziah Yani Gitalansa Martantina Widya Gusti Marlina Gustryanti, Kiki Hadi Nasbey Halimah Maulidia Hanif Assabib Rosyid Hanif Nur Widhiyanti Hansen Kurniawan Hany Aryani Puspita Harma Oktafia Oktafia Lingga Wijaya Haryadi Hendrik Jimmyanto Heny Indriani Heri Puspito Hery Supriyadi Hidayah Putra Wijaya I Nyoman Nugraha Ardana Putra Icha Artyas Annariswati Ilham, Mochamad Imam Supriyadi Imelisa, Rahmi Indah Pratiwi Indra Sumantiawan, Dody Iqbal Yusriansyah Ira Puspitadewi Samsuryaningrum Joni Karman Juhaeriah, Juju Jumadi Jumadi Kasimaldi Khrisna Wisnusakti Kulsum, Dewi Umu Lilik Sriwiyati Linda Suanti Lisa Rahmah Agustini Luhut Sagala Lukman Sunardi M. Nelvandi Setiawan Maudi Endah Lestari Meinar Nur Ashrin MeraldaRsoyy Moh. Wahyu Aminullah Mohamad Yanuarto Bramuda Mohammad Samsul Bakhri Monna Maharani Hidayat Muh Fadli Muhamad Ainurohman Muhamad Salman Muhamad Salsabil Fadilah Muhammad Cahaya Saputra Muhammad Dzaky Muhammad Hanif Abu Zakki Muhammad Nabil Al Faqih Muhammad Rendana Muhammad Umam Mubarok Muljadi Hartono Mulyati, Rini N, Sri Wulandari Namira Audita nauza agis irdiana Nelly Khairani Daulay Ni Nyoman Putu Martini Ni'am Sofi Nina Haryani Nisrina Nabila A`bidah Nova Nadia Firdaus Novendy Yoyada Novi Laura Indrayani Novi Lestari Nur Pudyastuti Pratiwi Nursaidah Nursalam Nyimas Ulfatry Utami Oktaviana, Ria Rindika Pajriah Putri Islamy Pianica Ananda Putri Danisa Rachmawaty M. Noer Riski Kurniawan Riyanto Setiawan Rizky Ni'ma Febriani Robekca Purba Robert Robert Rudi Kurniawan Rudi Kurniawan Rudyana, Hikmat Rusdiyanto Rusdiyanto Safarina, Lina Sakina, Zafira Naja Satrio Ageng Rihardi Selpiana Seprido Seprido, Seprido Setiyo Adi Wibowo Setyo Puguh Widodo Shindytya Hari Pratiwi Siti Lady Havivi Siti Nuraisyah Siti Rahayu Sugeng Hariadi Sugeng Santoso PN Suhariningsih Suharjiman, Suharjiman Suhendra Sunardi, Lukman SUNARTO Susanto Susanto Susi Susanti Susmanto, Prahady Syamsul Arifin, M. Agus Syarif Dahlan Tasya Alya Az-Zahra Taufik Rahman Tri Nopsagiarti Triyanto Triyanto Upik Rahma Fitri Vani Mutiara Pertiwi Wahyudi Wahyudi Wayan Darsana Widjiati Widjiati, Widjiati WIDYASTUTI Widyawati Ika Putri Wulan Devita Rahayu Yenny Puspitasari Yessy Eka Ambarwati Yuda Putra Pratama Yulianti Wulandari Yunanto Yunanto Zellius Ragiliawan Zikri Rahman Rizal Zita L. Sarungallo Zulfauzi - Zulfauzi -