Article Per Year (5 Year)
p-Index From 2021 - 2026
9.107
P-Index
This Author published in this journals
All Journal Media Kedokteran Hewan Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Al Ishlah Jurnal Pendidikan JURNAL PENDIDIKAN GLASSER Jurnal Ilmu Administrasi Publik (JIAP) IQRO: Journal of Islamic Education Alignment: Journal of Administration and Educational Management Media Mahardhika Journal of Information Technology and Computer Engineering YUME : Journal of Management INTERNATIONAL JOURNAL OF NURSING AND MIDWIFERY SCIENCE (IJNMS) INTEK: Jurnal Penelitian QUANTA Jurnal Bidan Cerdas Tadabbur: Jurnal Peradaban Islam Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Prakarsa Paedagogia IJECA (International Journal of Education and Curriculum Application) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Cahaya Mandalika International Journal of Educational Research and Social Sciences (IJERSC) Jurnal Ilmiah Teknologi Informasi dan Robotika International Journal of Robotics and Control Systems JoMMiT : Jurnal Multi Media dan IT International Journal of Engagement and Empowerment (IJE2) Jurnal Ar-Ribh Jurnal Penkomi : Kajian Pendidikan dan Ekonomi Jurnal Manajemen Edusoshum: Jurnal Pendidikan Islam dan Sosial Humaniora Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Al-Qayyimah Kunuz: Journal of Islamic Banking and Finance QISTINA: Jurnal Multidisiplin Indonesia Development Policy and Management Review Pulchra Lingua PMSDU Journal of Teaching and Education JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Blantika : Multidisciplinary Journal Causa: Jurnal Hukum dan Kewarganegaraan Al-Qudwah: Jurnal Studi Al-Qur'an dan Hadis JCAIP: Journal of Contemporary Applied Islamic Philanthropy AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Journal of Teaching and Education PESHUM IJEFSD AGROBUN: Jurnal Ilmu Pertanian Dinamika Pendidikan Jurnal Riset Manajemen Jurnal Riset & Sains Ekonomi Jurnal Riset Akuntansi
Agussalim, Agussalim
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 77 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 77 Documents
Search

 2   3   4   5   6 
Monitoring Jaringan Menggunakan PRTG (Studi Kasus: Fakultas Ekonomi Bisnis UPN “Veteran” Jatim) Najma, Leilani; Araf Octaviana, Monica Exsanni; Agussalim, Agussalim
Jurnal Ilmiah Teknologi Informasi dan Robotika Vol. 6 No. 1 (2024): Jurnal Ilmiah Teknologi Informasi dan Robotika
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifti.v6i1.149

Abstract

Gedung GKB Fakultas Ekonomi dan Bisnis  UPN “Veteran” Jawa Timur membutuhkan pengelolaan dan pemantauan kinerja jaringan, hal ini dikarenakan agar jaringan dapat beroperasi dengan baik. Penelitian ini menggunakan tools (perangkat lunak) pemantauan jaringan yaitu PRTG Network Monitor yang digunakan untuk menganalisis kinerja jaringan. PRTG (Paessler Router Traffic Grapher). memungkinkan administrator untuk memantau lalu lintas jaringan, ketersediaan perangkat, dan kinerja server secara real-time. Metode penelitian yang digunakan adalah pengumpulan data (observasi), studi kepustakaan, analisis, dan hasil penelitian. Tujuan dari penelitian ini adalah untuk memonitoring jaringan di lingkungan fakultas dengan menggunakan metrik kinerja yaitu latensi, throughput, dan packet loss. Lalu, penelitian ini juga bertujuan untuk menganalisis permasalahan jaringan dan pemecahan masalah jaringan di Fakultas Ekonomi dan Bisnis UPN “Veteran” Jawa Timur. Penelitian ini melakukan monitoring pada waktu tertentu (pagi, siang, dan sore). Hasil penelitian menunjukkan bahwa pada jam sibuk terjadi latensi yang menyebabkan jaringan tidak stabil. Ketika jam non-sibuk jaringan menunjukkan kinerja yang stabil dengan latensi rendah tanpa adanya packet loss. Solusi yang diberikan yaitu dengan peningkatan kapasitas bandwidth dan penerapan redundansi jaringan untuk mencegah adanya gangguan jaringan di masa mendatang. Hasil analisis ini diharapkan dapat membantu meningkatkan layanan jaringan di lingkungan Gedung GKB Fakultas Ekonomi dan Bisnis  UPN “Veteran” Jawa Timur.
Real-Time Data Integration and Weather Reporting Automation with Cloud Computing-based Interactive Spatial Dashboard for Extreme Weather Risk Analytics in Indonesia Arifani, Kahpi Baiquni; Pintarko, Dody; Sari, Anggraini Puspita; Agussalim, Agussalim
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6298

Abstract

Global climate change has increased the risk of extreme weather events in Indonesia, necessitating an accurate and real-time weather information system. This study develops a cloud computing-based system capable of integrating national weather data in real-time, automating the generation of actual and forecast weather reports, and presenting this information through an interactive spatial dashboard. The system is built on a client-server architecture deployed on Google Cloud Platform, utilizing the OpenWeatherMap API, a Flask backend, and a JavaScript-based frontend (Leaflet.js and Chart.js). Evaluation results indicate that the system can provide integrated national weather data with latency under one second, generate automated multi-province weather reports, and deliver interactive heatmap visualizations of extreme weather risks. This system is effective in improving the speed, accuracy, and efficiency of weather information distribution to support decision-making in the maritime, transportation, and disaster management sectors.
Diversifikasi Produk Olahan Jamur Tiram dalam Meningkatkan Keterampilan Masyarakat di Desa Labuaja Kabupaten Maros Taskirawati, Ira; Yunianti, Andi Detti; Halimah Larekeng, Siti; Syahidah, Syahidah; Arif, Astuti; Gusmiaty, Gusmiaty; Iswanto, Iswanto; Tirtayasa Putra Pangestu, Kidung; Suhasman, Suhasman; Saad, Sahriyanti; Agussalim, Agussalim; Supratman, Supratman; Alam, Syamsu; Prastiyo, Andi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi Januari - Maret
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.5277

Abstract

Pengabdian masyarakat ini berfokus pada pengolahan jamur tiram sebagai alternatif peningkatan ekonomi di Dusun Kappang, Desa Labuaja, Kecamatan Cenrana, Kabupaten Maros, daerah yang memiliki potensi wisata. Isu yang diangkat adalah kurangnya pemanfaatan jamur tiram sebagai produk bernilai tambah meskipun budidayanya sudah mulai berkembang. Tujuannya adalah memberikan pengetahuan dan keterampilan kepada masyarakat dalam mengolah jamur tiram menjadi produk seperti bakso, keripik, dan nugget. Metode yang digunakan adalah demonstrasi langsung pembuatan produk olahan jamur tiram dengan pendekatan berbasis partisipasi masyarakat. Hasil kegiatan menunjukkan bahwa masyarakat dapat memahami dan mempraktikkan proses pengolahan jamur tiram. Produk yang dihasilkan memiliki potensi pemasaran, baik untuk konsumsi lokal maupun sebagai cenderamata wisata. Misalnya, dari 500 g jamur tiram dapat dihasilkan ±30 bakso atau ±500 g keripik. Pengabdian ini diharapkan dapat meningkatkan keterampilan masyarakat dan mendorong pengembangan ekonomi lokal melalui produk olahan jamur tiram.
OPTIMASI PRODUKSI DAUN DAN BUNGA GENJER MELALUI PENGATURAN DOSIS DAN INTERVAL PEMUPUKAN Assauwab, Muhamad Husaini; Agussalim, Agussalim; Akram, Mhd.
Agrobun Vol 2 No 2 (2025): AGROBUN: Juli - Desember
Publisher : LPPM Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/agrobun.v2i2.1970

Abstract

Genjer (Limnocharis flava L) merupakan tanaman air yang banyak dikonsumsi masyarakat karena nilai gizinya yang tinggi, terutama pada bagian daun dan bunganya. Penelitian ini bertujuan untuk mengkaji pengaruh kombinasi dosis dan interval pemupukan terhadap produksi daun dan bunga genjer. Penelitian dilakukan di Desa Lawe Sagu Hulu, Kabupaten Aceh Tenggara, dengan menggunakan Rancangan Acak Kelompok (RAK) faktorial dua faktor, yaitu dosis pupuk (4 g, 6 g, 8 g) dan interval pemupukan (1 kali, 2 kali, 3 kali). Hasil penelitian menunjukkan bahwa interval pemupukan tiga kali paling efektif dalam meningkatkan produksi daun, sedangkan interval dua kali lebih optimal untuk produksi bunga. Dosis 4 gram memberikan berat daun tertinggi, sementara dosis 8 gram menghasilkan berat bunga terbesar. Perbedaan respons ini menunjukkan bahwa kebutuhan nutrisi tanaman berbeda antara fase vegetatif dan generatif. Temuan ini dapat menjadi dasar bagi strategi pemupukan yang lebih efisien dalam budidaya genjer.
Utility-Based Buffer Management for Enhancing DTN Emergency Alert Dissemination in Jakarta's Urban Rail Systems Agussalim, Agussalim; Viet Ha, Nguyen; Putra, Handie Pramana; Adila, Ma’ratul; Diyasa, I Gede Susrama Mas; Rahmat, Basuki
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5241

Abstract

The efficiency of emergency alert dissemination in highly populated and densely urban transport networks, such as Jakarta's integrated rail system, is undermined by sporadic connectivity and limited network resources. In this environment, an initial comparison of baseline Delay-Tolerant Network (DTN) routing protocols revealed that flooding-based routers, such as Epidemic, while achieving above-average delivery rates, suffered from high overhead and poor buffer utilization. This paper fills this gap by proposing the Combined Utility Router, a novel buffer management policy that overcomes the limitations of naive strategies, such as Drop-Oldest. Our approach holistically evaluates a message's value by assigning a weighted utility function based on its Time-To-Live (TTL), estimated total replicas, message size, and a user-defined priority. The router maintains high-value messages by discarding the message deemed the lowest utility score under the buffer constraint. Utility-based simulations in The ONE simulator demonstrate that applying our approach to Epidemic routing improves delivery probability, reduces average latency in high network congestion scenarios, while maintaining overhead rates. This work confirms that, in the context of developing reliable and efficient emergency communication systems for challenging urban topographies, optimizing buffer management extends beyond simply selecting the appropriate protocol.
MANAGEMENT INTERPROFESSIONAL EDUCATION OF ETHICS COURSE ON HANDLING NONCOMMUNICABLE DISEASES Pujiastuti, Rr. Sri Endang; Widiyati, Sri; Metasari, Sherly; Suheri, Titin; Hartoyo, Mugi; Agussalim, Agussalim; Mutmainah, Ainun
INTERNATIONAL JOURNAL OF NURSING AND MIDWIFERY SCIENCE (IJNMS) Vol. 8 No. 2 (2024): VOLUME 8 ISSUE 2 AUGUST 2024
Publisher : Departement Research and Community Engagement Bina Sehat PPNI Institute of Health Science, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29082/IJNMS/2024/Vol8/Iss2/595

Abstract

Interprofessional education has been defined as a process learning program which includes learning outcomes, lecturers, material topics and skills enabling a synergistic influence of grouped student competence, so that interprofessional education becomes one of the initial stages for introducing collaboration and teamwork to students so that they can be applied of work. The explore the appropriateness and meaningfulness of Ethics and Health Law Course-based learning for nursing students. The research is a research and development design whose stages were carried out for 6 months with a research sample of 40 respondents, namely first semester students of the postgraduate nursing program. The results of this study showed that the significant for the materials of ethics, curriculum, learning outcomes (P=0.000). The students showed active participation, communication and good collaboration regarding health problem solving on handling non-communicable diseases. Management of interprofessional education (pretest = 54.32 and posttest mean 67.48) is needed in health education, as an approach to the learning process, includes the flexibility to respond to the specific (P=0.002), self-identified learning needs of students (P= 0.000). The results of the focus group discussion showed that knowing how to learn, having high expectations in problem solving, applying competencies to case tasks, collaborating with others, and being creative are all signs of a capable practitioner. There are important characteristics that determine the effectiveness of interprofessional education ethics courses, including faculty and students who consider their roles important to the team, open communication, autonomy, and equality of resources so that interprofessional education has a positive impact on the development of holistic care to improve the quality of patient care.
Identification of Groundwater Potential using Schlumberger Array of Resistivity Method in Bulukumba, South Sulawesi Agussalim, Agussalim; AS, Nur Ichzan
INTEK: Jurnal Penelitian Vol 8 No 2 (2021): October 2021
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v8i2.3016

Abstract

The research was carried out in Bontorannu Village, Kajang District, Bulukumba Regency, South Sulawesi. The research area is a plain area with rainfed rice fields. Therefore, it is necessary to do research to identify the potential of groundwater as a source of irrigation. The purpose of this research is to provide an estimate of the plane, position, and depth of the aquifer layer in the soil based on the interpretation of measurements using the resistivity method of the Schlumberger array. Through the results of this interpretation, the pattern/contour modeling of the distribution of the aquifer layer in the soil is determined which is projected as groundwater. This research is an experimental research with a descriptive approach method. Methods of this research consists of research preparation, data acquisition, processing and interpretation of data using Res2dinv software. The measurement points were selected through feasibility survey. There are two measurement points that length of each track used is a maximum of 300 meters. The results showed that on track 1 there is a layer suspected of being a shallow aquifer with a depth of 12-22 m. While on track 2, a potential deep aquifer layer is detected with a depth of 13-25 m.
Application of Google cloud computing for web-based library information systems at Bahayangkara University Surabaya Irsyadi, Muhammad Haidir; Alam, Fajar Indra Nur; Sari, Anggraini Puspita; Agussalim, Agussalim
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.6955

Abstract

Libraries are essential in academic work as they expose people to structured, easily procurable information.  However, the majority of schools, including Bhayangkara University Surabaya, still face challenges in managing and storing library information because local or manual systems are substandard. The goal of this project is to deploy and test the effectiveness of Google Cloud Computing technologies, such as Google Cloud Storage, Google Cloud SQL, and Google Compute Engine, on a website-based library information system.  We adopted a quantitative approach by performing experiments and system testing, i.e., black-box testing, access speed testing, and heavy load resistance testing. The result of the implementation is massive benefits, including a response time of 2 seconds on average, stability with 500 users at the same time, and storage efficiency at just 30% of the original size.  Other colleges can have an example that they can use to make a change to a cloud-based digital library from this research.  This also helps create digital library information systems that are technology-centered and dependable.
Analysis of Milk Production and Quality of Friesian Holstein Cows Before and After Maintenance at the Maju Mapan Joint Business Group of Dairy Farmers in Malang Yunan Alghifari; Amin, Muhammad Rijal Masyhur; Al Arif, M. Anam; Khotimah, Khusnul; Agus, Ali; Agussalim, Agussalim; Anam, Moh. Sofi'ul; Kurniawan, Muhammad ‘Ahdi
Media Kedokteran Hewan Vol. 35 No. 2 (2024): Media Kedokteran Hewan
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mkh.v35i2.2024.123-129

Abstract

ABSTRACT This study aims to analyze the variations in milk production and milk quality at the Maju Mapan Joint Business Group of Dairy Farmers in Malang before and after the outbreak of foot-and-mouth disease (FMD) in dairy cows. This study used fresh cow milk from dairy farmers who were members of the Maju Mapan Joint Business Group of Dairy Farmers in Malang. Purposive sampling was used to select the respondents. Out of a total of 300 dairy farmers at the Maju Mapan Joint Business Group of Dairy Farmers, 30 dairy farmers were selected as respondents. A sample of 10% the dairy farmers was taken to determine milk production and quality by recording data on milk production. The data were analyzed using the normality test and paired t-test. The results suggested significant differences in milk production and milk quality before and after the FMD outbreak at the Maju Mapan Joint Business Group of Dairy Farmers in Malang.
Peramalan Tren Penjualan Menu Restoran Menggunakan Metode Single Moving Average Apriliani, Aulia; Zainuddin, Hazriani; Agussalim, Agussalim; Hasanuddin, Zulfajri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020722732

Abstract

Penelitian ini bertujuan untuk meramalkan tren penjualan menu pada restoran guna membantu pihak pengelola restoran dalam menentukan dan memberikan rekomendasi pengelolaan stok menu. Peramalan dilakukan dengan mengimplementasikan metode single moving average pada data transaksi penjualan selama periode 15 bulan, yakni bulan Januari-Desember 2018 dan Januari-Maret 2019 untuk menghasilkan ramalan bulanan dan harian. Total sampel data latih yang diolah sebanyak 10.515 record yang merupakan data transaksi penjualan pada bulan Januari-Desember tahun 2018, serta 2.246 record data bulan Januari-Maret 2019 sebagai data uji (untuk menguji akurasi ramalan). Hasil pengujian hasil ramalan bulanan untuk Top-10 menu menghasilkan perhitungan MAPE (Mean Absolut Percentage Error) sebesar 4% yang berarti tingkat akurasi sangat baik, yakni sebesar 96%. Sedangkan pengujian hasil ramalan harian menghasilkan MAPE yang cukup tinggi yaitu sebesar 39.2%, mengindikasikan nilai akurasi yang cukup rendah, yakni 60.8%. Meskipun akurasi untuk ramalan harian, masih rendah namun hasil penelitian ini dapat memberikan gambaran kepada pengelola hotel tentang rentang minimum-maksimal stok yang perlu disiapkan untuk menu tertentu pada hari-hari tertentu. Untuk memperoleh akurasi prediksi harian yang lebih akurat, penelitian ini akan dilanjutkan dengan mencoba metode lain serta menambah jumlah data latih. AbstractThis research aims to forecast sales trend of a restaurant menus to help the restaurant management in determaining and providing recommendations for managing stocks. Forecasting was performed by applying the single moving average towards fifteen months recorded data transaction, namely January to December 2018, and Januari to March 2019 to establish monthly and daily forecast. Total data training was 10.515 recods data transaction obtained from Januari to December 2018, while data testing was 2.246 record data transaction within Januari to March 2019. Result for montly forecast shows, that the average accuracy reached 96% (MAPE 4%) indicating the forecast is almost perfect. While, for daily forecast the average accuracy is only 60.8% (MAPE 39,2%) indicating that the forecast is less accurate. Although, accuracy of the daily forecast is considered less accurate, the result still can be used by the restaurant management to figure-out minimum and maximum amount of stock to be prepared for certain menus in certain days. 
Co-Authors - Trimulato, - A, Denisa Septalian Abas, Hafiza Abdul Rezha Efrat Najaf Adila, Ma’ratul Adrikna, Maulaya Ahmad Firman ahmad yani Ahmad, Aini Ahsari, Dwi Ahmadil Akbar, Aidul Akbar, M. Syahid Akram, Mhd. Al Arif, M. Anam Alam, Fajar Indra Nur Alam, Jaya Ali Agus Amin, Muhammad Rijal Masyhur Aminullah Aminullah, Aminullah Amora, Amora Anam, Moh. Sofi'ul Andi Detti Yunianti Andi Tenri Ampa Andreas Nugroho Sihananto Anggraini Puspita Sari Anggraini, Lusi Silvia Annas, Aswar Aprianda, Rafi APRILIANI, AULIA Araf Octaviana, Monica Exsanni Ardiany, Yuli Arifani, Kahpi Baiquni Arifuddin Arifuddin Arisandi, Riski Fitri As, Nur Ichzan Asep Suherman Ask, Hilman Van Astuti Arif Atari, Tamara Lucia Nusa Atmaja, Ferdy Atmansyah, Lutfi Awalia, Rahma Awaliyah, Dien Putri Basuki Rahmat Masdi Siduppa Burhanuddin*, Burhanuddin Butar, Lusiana Butar D.lubis, D.lubis Dai, Herlina Delvianti Desi Maulida Dewi, Risna Diyasa, I Gede Susrama Mas Dwi Noviana Komsi Efendi, Annisa Efridawati, Enjela Enika, Popya Erawan, Tiar Faikul Umam Farhan, Ilham Febrianti, Liska Fitri Ana Wati, Seftin Fitriani, Besse Gandini, Aulia Gusmiaty Gusmiaty, Gusmiaty Hadya, Rizka Halimah Larekeng, Siti Hamdan Hamdan Hamrullah, Hamrullah Haruna, Ilham Hasani, Ruslan Hasanuddin, Zulfajri Hazriani, Hazriani Hendahyani, Selvi Heriyani, Veni Heriyanto , Heriyanto Herlina, Besse Hikmah, Muh. Syawal Humaeroah, Humaeroah Humairah, Sayyidah Husnul Khatimah IRA TASKIRAWATI Irsyadi, Muhammad Haidir Iswanto Iswanto Jalil, Nurlina Kaffah, Muhammad Silmi Kalsum Kalsum Kamaluddin, Laode Amijaya khusnul khotimah Kurniawan, Muhammad ‘Ahdi Lantong, Muhammad Adri Lestari, Rachmatika Lismawati, Lismawati Lorica, Josephine D. Mahsun, Muhamad Majdina, Richlah Nur Mappatoba, Andi Mardiah Mardiah Marpiansa, Muhammad Hafizh Ma’shumah Syamsir Meri Dwi Anggraini Metasari, Sherly Mirdan, Moh. Mugi Hartoyo Muhammad Hibrian Wiwi Muhammad Husaini Assauwab Mutmainah, Ainun Muzakkir Muzakkir Najma, Leilani Nezha Pangarungan Ningsih, Ayu Widya Ningsih, Indriyani Kesuma Nodi Marefanda Nugraha, Rahmat Nur, Muh. Nur, Suaib Nurcaya Nurcaya Nuringsih, Nuringsih Nurmiaty, Nurmiaty Nurwijayanti P, Made Hanindia parman parman Pintarko, Dody Pornama, Angga Prastiyo, Andi Pujiastuti, Rr. Sri Endang Purna Irawan Purwandari, Elce Puspa Sari, Puspa PUSPITA SARI, RIKA Putra, Handie Pramana Putri, Besse Sherly Aulia Rahayu Ada, Sesilia Tiara Ramadana, Tariza Ramadhinata, Muhammad Alfian Sendhy Reboldera, Melanie Rida Perwita Sari Romansyah Sahabuddin Sabir Sabir Safinatunnajah, Divane Infonya Safira, Nur Hikma Safrida Safrida Sahriyanti Saad Said, Rahmat Said, Sitaman Salam, Agung Surya Sanenek, Monalisa Saputra, Hendriky Sari, Meri Antika Sari, Widya Nofita Satria, Fitra Shiratuddin, Mohd Fairuz Silvera, Dica Lady Simunati, Simunati Sri Widiyati, Sri Sucahyo Heriningsih Suhasman, Suhasman Sulolipu, Andi Annisa Sultan Suhab Suparni suparni Supratman Supratman, Supratman Supriaddin, Nofal Supriadi Supriadi Suryaningsih Suryaningsih Susi Yuliastanty Syahidah, Syahidah Syamsiar, Syamsiar SYAMSU ALAM Teja, Patricia Tirtayasa Putra Pangestu, Kidung Titin Suheri, Titin Trisna, Nila Utami, Cindy Citra Vadilla, Zafitri Nur Veni Nella Syahputri, Veni Nella Viet Ha, Nguyen wahyuni wahyuni Wahyuni, Eka Dyar Wardana Wardana Wardi Wardi Wibowo, Nur Cahyo Yani, Meri Yati Yati, Yati Yuana, Indira Yulianto Yulianto Yunan Alghifari Zamri, Mohd