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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Energi Dan Manufaktur Jurnal Pendidikan Jasmani Jurnal Buana Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan PROCEEDING IC-ITECHS 2014 Jurnal Ilmiah KOMPUTASI Format : Jurnal Imiah Teknik Informatika Sistemasi: Jurnal Sistem Informasi SemanTIK : Teknik Informasi Jurnal Informatika JIKO (Jurnal Informatika dan Komputer) Jurnal CoreIT Empowerment : Jurnal Pengabdian Masyarakat Jurnal Eksplora Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo Jurnal ULTIMATICS Jurnal ULTIMA Computing Jurnal Teknologi Sistem Informasi dan Aplikasi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Magister Pendidikan IPA JUMANJI (Jurnal Masyarakat Informatika Unjani) Indonesian Journal of Applied Informatics KOMPUTIKA - Jurnal Sistem Komputer Jurnal Manajemen Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Tekno Kompak JISKa (Jurnal Informatika Sunan Kalijaga) JTIM : Jurnal Teknologi Informasi dan Multimedia JURNAL TEKNIK Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI (Jurnal Mahasiswa Teknik Informatika) Scientific Journal of Informatics JIKA (Jurnal Informatika) Journal On Teacher Education (Jote) Tematik : Jurnal Teknologi Informasi Komunikasi RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JOINTER : Journal of Informatics Engineering International Journal of Aviation Science and Engineering Journal of Innovation and Technology Jurnal Informatika Terpadu Buguh: Jurnal Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Anoa : Jurnal Pengabdian Masyarakat Sosial, Politik, Budaya, Hukum. Ekonomi BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer International Journal Software Engineering and Computer Science (IJSECS) Algoritme Jurnal Mahasiswa Teknik Informatika Journal of Applied Science, Engineering and Technology (J. ASET) Journal of Computers and Digital Business Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) PAMARENDA : Public Administration and Government Journal "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Jurnal Informatika Polinema (JIP) Indonesian Journal of Community Services BIMA : Journal of Business and Innovation Management Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) ANIMATOR SISFOTENIKA Jurnal Sains dan Kesehatan
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Vehicle Safety System Integrated with GSM Network (Global System for Mobile Communications) on Vehicle Ignition System Riszal, Akhmad; Harun, Suryadiwansa; Burhanuddin, Yanuar; Martinus; Hamni, Arinal; Adi Saputra, Rizal; Nazarrudin, Rizal
Jurnal Inovasi Teknologi Vol 6 No 1 (2025): April
Publisher : Engineering Forum of Western Indonesian Government Universities Board (Forum Teknik, BKS-PTN Wilayah Barat) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to design and create a sms-based motor vehicle security system with an ATMega 8535 microcontroller. This research utilizes hand phone technology and microcontroller. Making this tool has an economical price to secure motorized vehicles. Important prototypes in making this tool are the ATMega 8535 microcontroller, GSM Modem and HP. In making this tool the first thing to make is to make a microcontroller program for the controller. Making this program uses CV Avr soft ware (Code Vision Avr). After the program is finished, the program is downloaded to the microcontroller. Control is done by the microcontroller when it gets input. The result of this research is to get a vehicle security system that is integrated by the ignition system on a motorcycle. The process of securing a motorized vehicle when it is stolen is, the security system will send sms information that the motorcycle is stolen, the alarm sounds and the ignition system is cut off. To turn off the alarm and start the motorcycle, the owner sends an SMS with the format *ALOF# to the security system and starts the motorcycle normally (Pull the front brake three times then position the key to ON mode).
PREDIKSI KEBAKARAN HUTAN DAN LAHAN SULAWESI TENGGARA DENGAN MENGGUNAKAN ALGORITMA C4.5 Akyar, Faisal; Adi Saputra, Rizal; Noviana Saputri, Kiki; Ramadana, Alvianto; Muhaimin Zain, Al; Nathania, Meutya
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13484

Abstract

Kebakaran hutan di Sulawesi Tenggara menjadi masalah serius dengan dampak ekologis, ekonomis, dan sosial yang signifikan. Penelitian ini bertujuan untuk memahami penyebab, pola kejadian, dan dampak kebakaran hutan di wilayah ini. Algoritma C4.5 digunakan sebagsai metode prediktif untuk memberikan wawasan lebih dalam. Metodologi penelitian melibatkan Knowledge Discovery in Database (KDD), dengan pengumpulan data dari BNPB Sulawesi Tenggara, praproses data, transformasi data, dan penerapan algoritma C4.5. Hasil penelitian menggambarkan potensi bahaya kebakaran hutan dan lahan di setiap kabupaten/kota Sulawesi Tenggara. Proses preprocessing melibatkan penanganan missing value, dan transformasi data dilakukan dengan konversi format. Algoritma C4.5 menghasilkan model klasifikasi berupa pohon keputusan, yang dievaluasi menggunakan metode Use Training Set dan Crossvalidation dengan akurasi masing-masing 94,12% dan 82%. Kesimpulan penelitian menyatakan bahwa algoritma C4.5 memberikan akurasi yang baik dalam memprediksi potensi kebakaran hutan. Namun, evaluasi kontekstual diperlukan untuk memahami relevansi temuan dalam aplikasi praktis. Penelitian ini diharapkan memberikan kontribusi pada pemahaman dinamika kebakaran hutan dan mendukung upaya pencegahan dan pengelolaan hutan yang berkelanjutan di Sulawesi Tenggara.
Implementasi Algoritma Long Short-Term Memory pada Isu Kenaikan Uang Kuliah Tunggal terhadap Minat Kuliah Mahasiswa Raiya, Muhammad Saharullah; Khamil, Muhammad Raihan Putra; Fadillah, Nur; Saputra, Rizal Adi
Jurnal Informatika Terpadu Vol 11 No 1 (2025): Maret, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i1.1656

Abstract

The increase in Single Tuition Fee (UKT) has become increasingly concerning for many prospective students and parents in Indonesia. The significant rise in UKT has led many prospective students to decide not to pursue higher education, resulting in a decline in college enrollment interest. This study aims to analyze the impact of the UKT increase on the declining interest in higher education among prospective students using the Long Short-Term Memory (LSTM) algorithm in Machine Learning. Based on sentiment data from YouTube and Instagram regarding the UKT increase issue, the LSTM model is implemented to predict college enrollment interest based on changes in UKT. The results of this study indicate a significant correlation between the UKT increase and the decline in new student enrollment. The Long Short-Term Memory (LSTM) algorithm model effectively predicts the impact of tuition fee increases on prospective students' interest in higher education. This is supported by an accuracy of 84%, showcasing the model's ability to recognize historical patterns in the data used optimally.
Rainfall Prediction based on Historical Weather Data using Naive Bayes Classification Model in Southeast Sulawesi Samudin, Ayustina; Saputra, Rizal Adi; Agsaria, Fabelina; Judanto, Nurendro Hardjo; Badarudin, Ade Syifa
SISTEMASI Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.3882

Abstract

Southeast Sulawesi is one of the provinces in Indonesia characterized by diverse topography and climate, making it challenging to accurately identify and predict rainfall patterns. The aim of this study is to enhance our understanding of weather behavior in Southeast Sulawesi and provide a foundation for developing more advanced and region-specific weather prediction methods. The data used in this research consists of historical weather records obtained from the official BMKG (Meteorology, Climatology, and Geophysics Agency) website, containing features that significantly contribute to rainfall prediction. The method employed in this study is the Naive Bayes classification model, which involves several stages including data collection, pre-processing, and preparation for the modeling phase, ultimately generating rainfall prediction outputs. The results of the study yielded a rainfall prediction accuracy of 74.66%. For the rainfall class (0.0), the model achieved a precision of 82%, recall of 66%, and F1-score of 73%. Meanwhile, for the rainfall class (1.0), the model achieved a precision of 69%, recall of 84%, and F1-score of 76%. Despite some prediction errors, these findings indicate that the Naive Bayes method can serve as a solid foundation for the development of more sophisticated and tailored weather prediction models for the Southeast Sulawesi region.
Red Curly Chili Forecast in Southeast Sulawesi Using Auto Regressive Integrated Moving Average (ARIMA) Al Qadri, Muhammad Vannes; Saputra, Rizal Adi; Pramono, Bambang
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.33986

Abstract

Abstract. Price is a crucial aspect in the world of trade. Red curly chili peppers have become one of the plants favored by many consumers. This research aims to develop a forecasting model that can provide a more accurate insight into the future prices of red chili peppers, particularly in Southeast Sulawesi. Because price forecasting plays a crucial role in predicting future price trends, the Auto Regressive Integrated Moving Average (ARIMA) method becomes one of the models that can be used for time series analysis. The data for this research is sourced from the National Food Body Price Panel Website. The data period starts from August 8, 2022, to December 15, 2023, with the last 500 days' prices used as both test and training data. In this study, the ARIMA (1,1,1) model emerged as the best among the three ARIMA models analyzed. The ARIMA (1,1,1) model yielded a MAPE percentage of 17.97%, indicating that this model is suitable or reliable for time series forecasting. Furthermore, the results of this experiment show that the forecasted prices for the next 10 days do not experience significant decreases or increases, referring to several recent data points used as training data samples.
PENYULUHAN PEMANFAATAN LATEKS MENJADI PRODUK KEPADA PETANI KARET DI DESA SUNGAI LANGKA, KECAMATAN GEDONG TATAAN KABUPATEN PESAWARAN, LAMPUNG Savetlana, Shirley; Sukmana, Irza; Supriadi, Harnowo; Zulhanif, Zulhanif; Saputra, Rizal Adi; Iza, Abdillah; Riofasesi, Daffa
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 9 No. 2 (2025): Vol. 9 No. 2 Juli 2025
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v9i2.564

Abstract

Luas perkebunan karet di Indonesia menurut data statistik adalah pada peringkat ketiga terbesar setelah sawit dan kelapa. Namun demikian petani karet masih sulit untuk memenuhi kebutuhan pokok mereka antara lain karena para petani menjual karet dalam bentuk lateks yang digumpalkan atau karet mentah. Sementara Indonesia walaupun merupakan negara pengekspor karet tapi juga sampai saat ini masih mengimpor karet jenis tertentu. Jika harga karet ditingkat petani tidak ada peningkatan maka petani akan sangat sulit memenuhi kebutuhannya maka lama kelamaaan, petani mungkin akan mengganti tanaman karet dengan tanaman lain sehingga produksi karet di Indonesia akan terus berkurang. Tim pengabdi dari Teknik Mesin Universitas Lampung menganggap hal ini penting sekali untuk dicarikan solusinya. Salah satu solusinya yaitu dengan cara meningkatkan pemahaman petani karet mengenai cara pembuatan lateks menjadi produk. Peningkatan pemahaman petani dilakukan dengan penyuluhan mengenai pembuatan lateks menjadi produk karet lembaran, sarung tangan karet, sepatu boot karet, dan karet pengikat. Hasil dari evaluasi kepada peserta penyuluhan menunjukan adanya peningkatan pemahaman pada petani karet mengenai cara membuat produk dari bahan lateks. Kata kunci: lateks, karet, karet lembaran, sarung tangan, sepatu boot karet, karet band, sungai langka
Klasterisasi Pola Gejala Depresi Menggunakan Agglomerative Hierarchical Cluster Analysis Berdasarkan Skor Depresi PHQ-9 Ermila Ermila; Ghefira Zahra Nur Fadhilah; Ni Wayan Erdiani; Rizal Adi Saputra
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.993

Abstract

Mental health issues such as stress, anxiety, and depression are increasingly affecting individuals across various levels, from mild to severe. Despite this, public perception often underestimates these conditions, particularly depression, which is frequently misunderstood as a temporary emotional phase. In fact, depression is a serious mental disorder that requires proper attention and treatment. This study aims to classify early patterns of depressive symptoms using the Agglomerative Hierarchical Clustering (AHC) algorithm. Data were collected from 1,030 respondents using the PHQ-9 questionnaire, a widely recognized tool for assessing depression levels. The analysis was conducted using the AHC method, and cluster evaluation was performed using the Davies-Bouldin Index (DBI) to determine optimal clustering. Results indicate that the Complete Linkage method provided the most optimal performance, as reflected in the highest Cophenetic Correlation Coefficient compared to other linkage methods. The DBI evaluation suggests that the optimal number of clusters is four. Among the respondents, 17.2% fall into cluster 1, 32.5% into cluster 2, 21.9% into cluster 3, and 28.3% into cluster 4. These clusters represent distinct patterns of depressive symptoms, which can be used for early detection and improved mental health interventions.
pengaruh kualitas pelayanan dan customer relationship management terhadap keputusan nasabah pt phintraco sekuritas surabaya Saputra, Rizal Adi; Ningsih, Lilis Sugi
BIMA : Journal of Business and Innovation Management Vol. 7 No. 3 (2025): Juni
Publisher : Prodi Manajemen Fakultas Ekonomi Universitas Hasyim Asy'ari Tebuireng Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/bima.v7i3.8618

Abstract

Tujuan dari penelitian ini adalah untuk melihat bagaimana kualitas pelayanan dan customer relationship management memengaruhi keputusan nasabah PT Phintraco Sekuritas di Surabaya. Penelitian ini dilakukan secara kuantitatif melalui metode survei. Data dikumpulkan melalui kuesioner yang dibagikan kepada 70 (tujuh puluh) nasabah PT Phintraco Sekuritas yang berlokasi di Surabaya.. Hasil penelitian menunjukkan bahwa pelayanan yang baik memengaruhi keputusan nasabah secara positif dan signifikan.Selain itu, ditemukan bahwa CRM memengaruhi positif signifikan sangat membantu nasabah membuat keputusan.Temuan ini mengindikasikan bahwa peningkatan kualitas pelayanan dan penerapan strategi CRM yang efektif dapat meningkatkan keputusan nasabah untuk menggunakan layanan PT Phintraco Sekuritas Surabaya.
DETEKSI PENIPUAN KARTU KREDIT MENGGUNAKAN METODE RANDOM FOREST Billah, Khaerunni Salsa; saputra, Rizal Adi
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 2 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i2.4064

Abstract

Meningkatnya penggunaan kartu kredit di Indonesia menimbulkan kekhawatiran mengenai potensi penipuan dalam transaksi tersebut. Data dari Bank Indonesia menunjukkan bahwa jumlah kartu kredit yang beredar pada Agustus 2023 mencapai 17,69 juta, dengan volume transaksi mencapai 28.360 transaksi per Mei 2022. Volume transaksi yang tinggi dan kecepatan pemrosesan yang cepat membuat pengawasan manual tidak memungkinkan. Oleh karena itu, diperlukan pengawasan otomatis untuk mencegah tindak penipuan dalam transaksi kartu kredit. Penelitian ini bertujuan mengembangkan sistem pendeteksi penipuan transaksi kartu kredit berbasis Machine learning dengan menggunakan algoritma Random Forest. Random Forest digunakan untuk klasifikasi, regresi, dan tugas-tugas lainnya. Dataeset transaksi kartu kredit dari tahun 2023 yang terdiri lebih dari 550.000 data digunakan dalam penelitian ini. Hasil penelitian menunjukkan bahwa dari total 568.630 record dalam dataset, terdapat sejumlah 113.726 record yang terdeteksi sebagai penipuan berdasarkan model klasifikasi yang digunakan. Melalui analisis Random Forest, fitur V4, V11, V22, V21, dan V27 diidentifikasi sebagai yang paling berpengaruh dalam mendeteksi penipuan. Model yang dikembangkan menunjukkan tingkat akurasi sekitar 96,53%, didukung oleh metode roc_auc_score yang mengkategorikannya sebagai sangat baik.
Co-Authors , Jumadil Nangi -, Findriyani -, Safal A.Yudi Eka Risano Ababil Azies Sasilo Abbas, Muhammad Akram Abdillah, Muh Ade Sitti Nur Zainab Adha Mashur Sajiah Adiningsi, Sri Afifah Hakim, Auliyah Agsaria, Fabelina Agus Sugiri Agus Sugiri, Agus Ahmad Fadli Ramadhan Ahmad Fadli Ramadhan Ahmad Riszal Ahmad Sipa, Alfriyanti Aksara, L.M. Bahtiar Akyar, Faisal Al Qadri, Muhammad Vannes Algazali, Muhammad Aliansa, Warham Amaliya Nurani Basyarah Ananda Putriani Andi Juliardi Abdillah Andi Maghfirah Parenrengi, Andi Maghfirah Andi Tenriawaru Angga Darma Prabowo Anshari, Erwin Apriansyah, Muhammad Fiqih Aprilyani S, Lily Arif, Yanuar Zulardiansyah Arifin Kusumo Wicaksono Arinal Hamni Asa Hari Wibowo Asa Hari Wibowo, Asa Hari Asdar Asdar Asdar Asdar, Auliya Rahman Asri Wido Mukti Asriani, Risky Nur Asti Rahayu Asti Rahayu Auliya Afifah Adnan Hakim Awaliah, Wd. Rizky Ayu, Nurfatzma Az'zahra Tarimana, Annisa Azriel Saktiawan, Muhammad Badarudin, Ade Syifa Bambang Pramono Bambang Pramono Bambang Pramono Bambang Pramono Billah, Khaerunni Salsa Chintya Mawadhah Sumitro Chintya Mawadhah Sumitro Dewi Perwito Sari Dewi Sari Sumitro Dewi Titania Randa Diah A.P, Zahwa Dian Trianita Lestari Dilla, Farah Dini Fadilah Djuansjah, Joy Djuansjah, Joy R P Dwi Tsunami, Widya Dwina Angelina Sipayung Eko Yohanes Elfiani Ermila Ermila Etrilian Tongalu Fa, Nur Fadhilah, Ghefira Zahra Nur Fadilah, Muh. Bayanudin Fahrul Ardian Nugroho Fani Fadilah Fazilah, Nurul Febryanti, Wa Ode Ika Fifi Nirmala G Fildzah Khalishah Ghassani Findry, Findriyani Ghefira Zahra Nur Fadhilah Hadi Prayitno, Hadi Hafiizah, Nur harnelia, harnelia Harnowo Supriadi, Harnowo Hashimatul Zaria Hasna Anggin Tri Muslimin Hayara Octaviani Hendriyanto, Agus Herlambang, Ian Hidayat, Wahyu Al Hidayatunnikmah, Nina Hidjriani Ibrahim, Fauzi Ifayatin, Hadijah Nisa Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum, Ika Purwanti Ikhwanul Uzlah, Laode Iklil Awalda Tariza Indri Indri Indriyani Nur Intan Ayu Kusuma Pramushinta Ira Purbosari Irsyad, Akhmad Irza Sukmana Irza Sukmana, Irza Ishak Jaelani, Muhammad Ishaq, Muhammad Akbar Asad Isnawaty Isnawaty Isnawaty Isnawaty Isnawaty Isnawaty, Isnawaty Iza, Abdillah Javensius Sembiring, Javensius Jayanti Yusmah Sari Jelyzer Patanan Judanto, Nurendro Hardjo Jumadil Nangi Jumadil Nangi Jumadil Nangi Jumadil Nangi, Jumadil Kaimuddin, Sitti Mikarna Kasim, Nurdian Khairul Ummah Khamil, Muhammad Raihan Putra Khrysna Dwipangga, Ageng Arya L.M. Bahtiar Aksara L.M. Fid Aksara, L.M. Fid La Ode Jafar Umar Thalib La ode Muhammad Bahtiar Aksara La Ode Rahmat Andre Pratama La Ode Santiaji Bande La Ode, Abdul Azis Syah La Surimi La Surimi La Surimi La Surimi, La Lestari, Dian Trianita Lily Aprilyani Linda Saputri LM Tajidun LM Tajidun, LM M. Rangga Saputra Maharani Hasan, Puspita Mahruri Arif Wicaksono Marsita Harim Martinus Mashur Sajiah, Adha Maulivia Idham Choliq Mayang Putri Khairunnisa Mochammad Imron Awalludin Mubaraq, Muh. Falah Muh. Ikbal, Muh. Muhaimin Hamzah Muhaimin Hamzah Muhaimin Zain, Al Muhamad Amhar Rayadin MUHAMAD FADLI Muhamad Faza Almaliki Muhamad Faza Almaliki Muhamad Handoyo Sahumena Muhamad Handoyo Sahumena Muhamad Ilham, La Ode Muhamad, Ngawal Muhammad Abdillah Rahmat Muhammad Nabil Afkar Muhammad Ricky Aryansah. B Muhammad Yusril Muhammad, Zahir Mundeh, Marianne Mursawal, Mursawal Mustarum Musaruddin Mutmainnah Muchtar Mutmainnah Putri Kayla Nabila Saskia Arham Nabilla Salsa Billa nabilla, putri Nadaa Qur’atul‘Ain Nadya Ambarwati Natalis Ransi Nathania, Meutya Nazarrudin, Rizal Ni Made Sri Ulandari Ni Wayan Erdiani Ningrum, Ika Purwati Ningsih, Lilis Sugi Nono Satria Noviana Saputri, Kiki Nugraha, Nurcahya Nur Fadillah, Nur Nur, Indriyani Nurhafni A, Syarifah Nurhafni Ahmad, Syarifah Nurmaladewi Nurmaladewi Nurmaladewi, Nurmaladewi Nurtiani, Devy Natalia Octaviani, Hayara Ode Yamin Arsy Fadillah Mbota, La Panaungi, Fajar Pratiwi Aprilya Wahid, Dwi Prianggoro, Dimas Prisma Trida Hardani Prisma Trida Hardani Purbosari, Ira Putri Arafa, Ninis Putu Arimbawa Putu Arimbawa, Putu Qubra, Rama Rafi Iyad Madani Chaidir Rahma Basri, Siti Rahmad Akbar Rahman, Nur Syazwani Binti Ab Rahmat Hidaya Karismadi, Nur Rahmat Karim Rahmat Saputra, La Ode Alvin Raiya, Muhammad Saharullah Ramadana, Alvianto Ramadhan, Abdul Fath Ramadhan, Muh. Akbar Perdana Ramadhani, Annisa Auliya Ratnasari Ratnasari Rayadin, Muhamad Amhar Reskal, R Resti Ajeng Sutiani Rina Rina Riofasesi, Daffa Riszal, Akhmad Rizaldy Setiawan Hasanuddin Rizki Eka Sakti Octaviani Roy Pane Ryan Septian Fajar, Muhammad Sahera, Nelti Juliana Saleh Badawi, Muh Samudin, Ayustina Saputra, Eko Wahyu Saputra, Muh. Farhan Saputri, Shinta Arjunita Sari, Dewi Perwito Sarita, Ihsan Sawal, Mur Sembiring, Javen Shinta Arjunita Saputri Shirley Savetlana Shirley Savetlana, Shirley Silfi, Silfi Siti Nurhalisa, Waode Sitti Aisyah Sri Adiningsi SRI ADININGSI ERNI ALBAKIA Sri Ayu Ningsih Statiswaty SUGIYANTO Sulastri Apridayanti Sultrayansa Sumarni Sumarni Suria, Fellonnisa Suryadiwansa Harun Sutardi Sutardi Sutardi Sutardi Sutiyana Fachruddin Syahidatul Islamiyah Syam, Nurhana Syazwani, Nur Tarkono Tarkono Tarkono Trihapsari, Argitha Tunda, Amin Usman, Yusril Wa Ode Ika Febryanti Wa Ode Yatni Yansari Wahyuni, Frida Mimi Waode Siti Nurul Hassanah Weka GUSMIARTY ABDULLAH Weka Gusmiarty Abdullah, Weka Gusmiarty Wibowo, Bayu Adi Wicaksono, Mahruri Arif Widyosekti, M. Dhiku Yanuar Burhanuddin Yolanda Camelia Imelda Yunda Puji Lestari Yurika Sastyarina Yurika Sastyarina Yusup Hendronursito, Yusup Yuwanda Purnamasari Pasrun Zahro Al Maulidiyah Zulhanif, Zulhanif