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Pendampingan UMKM dalam Pengembangan Produk Olahan Pertanian dan Perikanan untuk Meningkatkan Nilai Ekonomi di Desa Andoolo Utama, Sulawesi Tenggara Nur, Indriyani; Bande, La Ode Santiaji; Saputra, Rizal Adi; Abdullah, Weka Gusmiarty; Hamzah, Muhaimin; Arimbawa, Putu; Silfi, Silfi; Dilla, Farah; Wibowo, Bayu Adi
Empowerment Vol. 7 No. 02 (2024): Empowerment
Publisher : Program Studi Ilmu Hukum Fakultas Hukum Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/empowerment.v7i02.10737

Abstract

Program Kuliah Kerja Nyata (KKN) di Desa Andoolo Utama bertujuan untuk memberikan pendampingan untuk meningkatkan kapasitas Usaha Mikro, Kecil, dan Menengah (UMKM) dalam menghasilkan produk berbasis bahan olahan lokal. Kegiatan ini dilatarbelakangi oleh potensi pertanian dan perikanan, khususnya kelapa, singkong, dan ikan lele yang melimpah di Desa Andoolo Utama, namun pemanfaatannya masih terbatas pada produk mentah dengan nilai tambah rendah. Melalui pendekatan partisipatif, mahasiswa dan tim  dosen pendamping KKN Universitas Halu Oleo memberikan pelatihan dan pendampingan kepada masyarakat, yang meliputi aspek pengolahan produk, manajemen usaha, pemasaran digital, pengemasan serta branding yang menarik dan higienis. Metode yang digunakan meliputi observasi, diskusi kelompok, bimbingan teknis, dan praktik langsung pembuatan produk olahan kelapa seperti media tanam dari sabut kelapa, opak singkong, jamu, dan abon ikan. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan pelaku UMKM dalam mengolah kelapa, singkong, rimpang dan ikan lele menjadi produk bernilai tambah, peningkatan kualitas produk, dan kemampuan memasarkan produk secara lebih luas melalui platform digital. Program ini diharapkan dapat berkontribusi pada peningkatan kesejahteraan masyarakat Desa Andoolo Utama melalui pengembangan UMKM berbasis sumber daya lokal secara berkelanjutan.
PELATIHAN DAN PENDAMPINGAN PENERAPAN IPTEK PENGERING OPAK BERTEKNOLOGI KOLEKTOR SURYA DI DESA ULANGAN JAYA PROPINSI LAMPUNG Irza Sukmana; Ahmad Yudi Eka Risano; Tarkono, Tarkono; Fauzi Ibrahim; Agus Sugiri; Sugiyanto; Ahmad Riszal; Rizal Adi Saputra; Mahruri Arif Wicaksono; M. Rangga Saputra; Arifin Kusumo Wicaksono
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 5 No. 1 (2025): Maret 2025
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

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

Abstract

Singkong dapat diolah menjadi berbagai produk olahan pangan, diantaranya yang cukup popular adalah opak singkong. Desa Ulangan Jaya, Kabupaten Pesawaran, Lampung merupakan salah satu produsen opak yang memiliki area penjualan hingga ke wilayah Kab. Lampung Selatan, dan Kotamadya Bandar Lampung. Dalam proses produksi opak, metoda pengeringan yang digunakan masih bersifat tradisional, yaitu dengan cara manual melalui penjemuran di bawah terik matahari. Kegiatan pengabdian kepeda masyarakat ini bertujuan untuk meningkatkan pengetahuan mitra produsen opak mengenai teknologi proses pengeringan menggunakan kolektor surya atau tenaga matahari, dan mengimplemantasikan alat pengering opak dengan teknologi kolektor matahari. Alat pengering menggunakan kolektor matahari merupakan teknologi yang dapat memberikan manfaat kepada masyarakat. Dengan adanya kegiatan sosialisasi dan implementasi ipteks pengering kolektor surya ini, produsen opak dan masyarakat sekitar Desa Ulangan Jaya lebih tertarik terhadap teknologi pengeringan pada produk makanan dengan cara dan biaya yang cukup ekonomis. Hasil pengabdian kepada masyarakat ini menunjukkan adanya peningkatan motivasi dan pengetahuan warga mengenai alat pengering dari 37,5% menjadi 90,0%, atau terjadinya peningkatan sebesar 52,5%.
Rekomendasi Pemilihan Bahan Bacaan Pengunjung Perpustakaan Menggunakan Metode K-Means Clustering harnelia, harnelia; Panaungi, Fajar; Abbas, Muhammad Akram; Saputra, Rizal Adi
Komputika : Jurnal Sistem Komputer Vol. 14 No. 1 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i1.13298

Abstract

This research was conducted at the Modern Library of Kendari City to classify visitors' reading interests using the k-means clustering method. The classification aims to provide reading recommendations that match each visitor group's interests. The study uses book lending data collected from library visitors over the past four years. The clustering process implements the k-means algorithm, grouping data based on the nearest distance to cluster centers. This method resulted in three main clusters: cluster 0 with low reading interest, cluster 1 with moderate reading interest, and cluster 2 with high reading interest. This study contributes by developing a new approach for the Modern Library of Kendari City in managing book collections and recommending readings based on visitor interest groups. The clustering visualization provides insights into reading interest distribution, which helps the library make decisions about reading material provision. The cluster analysis shows different borrowing patterns and book preferences. This research is expected to help the library improve its services and visitor satisfaction through providing book collections that match each group's reading interests. Keywords – Book Recommendations; Clustering; Library; Machine Learning; Reading Interest
Classification of apple maturity based on color using the K-Nearest Neighboor (KNN) method Fa, Nur; Saputra, Rizal Adi; Nangi, Jumadil
Telematika Vol 21 No 1 (2024): Edisi Pertama 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11773

Abstract

Purpose: The aim of this research is to provide support to apple fans and farmers in determining the choice of fruit that is ripe and ready to be consumed, using indicators of outer skin color as a basis for classification.Design/methodology/approach: The approach uses the K-Nearest Neighbor (KNN) method to classify the level of ripeness of apples based on skin color. KNN is used as a classification method. This approach utilizes the similarity of skin color with training data to determine the level of maturity. The evaluation results showed an accuracy of 90%, making it an effective approach for identifying the ripeness level of apples.Findings/result: From the results of the system evaluation of 206, it shows an accuracy level of 90% with a sensitivity of 80% and a specificity of 67% as measured by the Hold Out Estimation model.Originality/value/state of the art: This research uses test data/testing data originating from Kaggle and Google as well as several photos taken directly. In total, 206 images of apples were used.
Application of Failure Mode, Effect Analysis (FMEA) and Ishikawa Diagram in Determining the Damage Aspects and Maintenance Plan of Screw Feeder of Steam Power Plant Company Riszal, Akhmad; Yohanes, Eko; Risano, A Yudi Eka; Ibrahim, Fauzi; Saputra, Rizal Adi
Journal of Applied Science, Engineering and Technology Vol. 5 No. 1 (2025): June 2025
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v5i1.76

Abstract

The screw feeder is a commonly used material transporter in various industries due to its ability to move large quantities of material and operate for extended periods. In practice, unexpected damage often occurs, requiring component replacements outside regular maintenance schedules. To improve reliability, Ishikawa diagrams are used to identify root causes of damage, while the FMEA method helps analyze failure risks and schedule preventive maintenance. This study found that the main causes of screw coal feeder damage are human error, mechanical issues, materials, and methods. Recommended actions include regular inspections for wear and proper lubrication to maintain performance. Based on reliability analysis, the screw feeder leaf has a reliability rate of 95.3% with a mean time between failure (MTBF) of 116.66 hours. The casing has a reliability rate of 94.6% and an MTBF of 142.85 hours. Implementing Ishikawa and FMEA methods at PT XYZ’s coal-fired power plant (PLTU) enables more effective and planned maintenance. This approach minimizes unexpected breakdowns, improves component reliability, and ensures smoother operations.
Sintering Behavior of Lampung Limestone-Based Hydroxyapatite for Use as a Bone Filler Material Saputra, Rizal Adi; Sukmana, Irza; Hendriyanto, Agus; Riszal, Akhmad; Hendronursito, Yusup; Wicaksono, Mahruri Arif
International Journal of Aviation Science and Engineering - AVIA Vol. 6 No. 2: (December, 2024)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v6i2.141

Abstract

Limestone from Mount (Mt.) Beranti, Lampung Province, contains 97.43% calcium carbonate (CaCO₃), making it a suitable natural precursor for synthesizing hydroxyapatite (HA). HA is widely utilized as a bone tissue filler, particularly in treating osteoporosis. In this study, CaCO₃ was processed using ball milling at 300 rpm for durations of 2, 3, and 4 hours, followed by sintering at temperatures of 600°C, 800°C, and 1000°C for holding times of 2, 3, and 4 hours. FTIR analysis using the hydrothermal method on calcined limestone powder revealed characteristic peaks corresponding to phosphate (PO₄³⁻) at 1025.45 cm⁻¹, calcium oxide (Ca–O) at 1413.59 cm⁻¹, and hydroxyl (O–H) at 3030.33 cm⁻¹, which closely resemble those found in commercial HA. SEM-EDX analysis at 1000°C for 4 hours showed a homogenous microstructure, with EDX results indicating the highest concentrations of calcium and phosphate after milling for 2 hours. Vickers hardness testing confirmed the highest hardness value was also achieved at 1000°C for 4 hours. Overall, the FTIR, SEM-EDX, and microhardness results demonstrate enhanced properties of HA, supporting its effectiveness as a material for filling porous bone tissue. Keywords: Limestone; Hydroxyapatite (HA); Calcium Carbonate (CaCO3); Bone Filler
Klasifikasi Kematangan Buah Pepaya Berdasarkan Fitur Warna Menggunakan Metode SVM Hafiizah, Nur; Saputra, Rizal Adi
FORMAT Vol 13, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i1.006

Abstract

This research aims to develop a method for identifying the ripeness level of papaya based on color features using the Support Vector Machine (SVM) algorithm. In the introduction, it is emphasized that generally, the color changes in papaya skin serve as the primary indicator of ripeness, but the accuracy of human observations in distinguishing colors can sometimes be suboptimal. Therefore, this study focuses on utilizing the SVM algorithm, particularly recognized for its excellent classification capabilities, especially in image processing and classification.The initial step in the research method involves a literature review to gather the latest information on fruit ripeness classification, with a specific emphasis on color features. The subsequent steps include formulating problems and hypotheses to determine whether color-based classification methods, particularly SVM, can effectively classify papaya ripeness levels. The design and implementation phase encompass capturing papaya images using a smartphone camera, converting the images from RGB to LAB, and extracting color features using a multi-level SVM. Testing and evaluation are then conducted to assess the system's accuracy.The implementation results indicate an accuracy rate of 96%, categorizing papayas into three classifications: mature, partially mature, and immature. Evaluation metrics such as precision, recall, and F1-score provide in-depth insights into the system's performance, demonstrating SVM's capability in identifying papaya ripeness levels. In conclusion, this research successfully applies SVM as an effective method for classifying papaya ripeness based on color features, contributing to the development of an accurate and reliable automated system for fruit ripeness identification.
Effect of Sintering Temperature on The Adhesion Quality of Hydroxyapatite on Porous Tantalum for Cancellous Bone Implant Application Rahman, Nur Syazwani Binti Ab; Sukmana, Irza; Djuansjah, Joy R P; Tarkono; Sugiri, Agus; Saputra, Rizal Adi
Jurnal Inovasi Teknologi Vol 5 No 2 (2024): October
Publisher : Engineering Forum of Western Indonesian Government Universities Board (Forum Teknik, BKS-PTN Wilayah Barat) Indonesia

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Abstract

Porous tantalum has been recently recognized as a conventional orthopedic implant for bone substitute applications besides stainless steel, cobalt-chromium, titanium, and other metallic alloys. Porous tantalum has excellent mechanical and osseointegration properties similar to cancellous bone structure. To optimize the utilization, the dip coating technique was applied to coat porous tantalum with hydroxyapatite (HA). X-ray diffraction (XRD) and scanning electron microscopy (SEM) techniques investigate the coating characterization. HA is a bioceramic material that used for bone substitutes due to its chemical and structural similarity to bone minerals. Coated porous tantalum requires the sintering process of porous tantalum to adhere to HA. During the sintering process, various temperatures (650°C, 750°C, 850°C, 950°C, and 1100°C) were used to determine the optimum temperature for porous tantalum coated with HA. The heating rate is 1°C/1 min and the holding time is 60 minutes. The result shows that the optimum temperature of HA-coated porous tantalum is at 850°C. The morphology structure of the HA-coated porous tantalum shows that the adhesion between porous tantalum and HA is in good condition. The element in the HA-coated porous tantalum shows that the existence of HA is high. 
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.
Co-Authors -, Findriyani -, Safal A.Yudi Eka Risano Ababil Azies Sasilo Abbas, Muhammad Akram Abdillah, Muh Achmad Nur Aliansyah 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 Akmal Rahman Aksara, L.M. Bahtiar Akyar, Faisal Al Mustakfi Zulbilal Al Qadri, Muhammad Vannes Algazali, Muhammad Aliansa, Warham Alma Fisabillah Amaliya Nurani Basyarah Andi Juliardi Abdillah Andi Maghfirah Parenrengi, Andi Maghfirah Andi Marwah Ramadhani Angga Darma Prabowo Anisa suci Pratiwi Annisa Auliya Ramadhani Anshari, Erwin Anwar, Syaipudin Apriansyah, Muhammad Fiqih Aprilyani S, Lily Arif, Yanuar Zulardiansyah Arif, Zainal Arifin Kusumo Wicaksono Asa Hari Wibowo Asa Hari Wibowo Asa Hari Wibowo, Asa Hari Asdar Asdar Asdar Asri Wido Mukti Asriani, Risky Nur Asrumin Asti Rahayu Asti Rahayu Auliya Afifah Adnan Hakim Awaliah, Wd. Rizky Ayu Pratiwi Ndibola Ayu, Nurfatzma Az'zahra Tarimana, Annisa Azriel Saktiawan, Muhammad Badarudin, Ade Syifa Bagus Rifaldi Bambang Pramono Bambang Pramono Bambang Pramono Bambang Pramono Billa, Nabilla Salsa Billah, Khaerunni Salsa Chintya Mawadhah Sumitro Chintya Mawadhah Sumitro Dewi Perwito Sari 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 Edi Syah Mihrad Eko Wahyu Saputra Eko Yohanes Elfiani Eriyadi, Riko Ermila Ermila Etrilian Tongalu Fa, Nur Fadhilah, Ghefira Zahra Nur Fadilah, Muh. Bayanudin Fahrul Ardian Nugroho Fani Fadilah fauzi, fitya aulia Fazilah, Nurul Febryanti, Wa Ode Ika Ferdi Ashari Bahar Fifi Nirmala G Fildzah Khalishah Ghassani Findry, Findriyani Fitya Aulia Fauzi Florencia Virgiane Evalyn Padang Ghefira Zahra Nur Fadhilah Gloriyan Gerhan Mangalla Golok Jaya, La Ode Muhammad Gusti Putu Pupaningrum Hafiizah, Nur Hardani, Prisma Trida harnelia, harnelia Harnowo Supriadi, Harnowo Hashimatul Zaria Hasna Anggin Tri Muslimin Hassanah, Waode Siti Nurul Hayara Octaviani Hendriyanto, Agus Herlambang, Ian HERU WAHYUDI Hidayat, Wahyu Al Hidjriani I Nyoman Aditia Ibrahim, Fauzi Ifayatin, Hadijah Nisa Ihsan Sarita Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum, Ika Purwanti Ikhwanul Uzlah, Laode Iklil Awalda Tariza Inda Asriyanti Lauto Indriyani Nur Indriyani Nur Intan Ayu Kusuma Pramushinta Ira Purbosari Irsyad, Akhmad Irza Sukmana Irza Sukmana, Irza Ishak Jaelani, Muhammad Isnawaty Isnawaty Isnawaty Isnawaty Isnawaty Isnawaty Isnawaty Isnawaty, Isnawaty Iza, Abdillah Javensius Sembiring, Javensius Jayanti Yusmah Sari Jelyzer Patanan Judanto, Nurendro Hardjo Jumadil Nangi Kaimuddin, Sitti Mikarna Kasim, Nurdian Kayla, Mutmainnah Putri Khairul Ummah Khamil, Muhammad Raihan Putra Khrysna Dwipangga, Ageng Arya Kurniawan, Dondi L.M. Bahtiar Aksara L.M. Fid Aksara La ode Muhammad Bahtiar Aksara La Ode Rahmat Andre Pratama La Ode Santiaji Bande La Ode Sukriman La Ode, Abdul Azis Syah La Surimi La Surimi La Surimi La Surimi, La Lestari, Dian Trianita Lestari, Yunda Puji Lily Aprilyani Linda Saputri LM Tajidun LM Tajidun, LM LM. Fid Aksara M. Rangga Saputra Maharani Hasan, Puspita Mahruri Arif Wicaksono Marni Mulyani Marsita Harim Mashur Sajiah, Adha Maulivia Idham Choliq Mayang Putri Khairunnisa Mochammad Imron Awalludin Mochammad Resha Muh Ikhwan Ghazalah Muh Taqwa Tajuddin Muh. Ikbal, Muh. Muhaimin Hamzah Muhaimin Hamzah Muhaimin Zain, Al MUHAMAD FADLI Muhamad Faza Almaliki Muhamad Handoyo Sahumena Muhamad Handoyo Sahumena Muhamad Ilham, La Ode Muhamad, Ngawal Muhammad Abdillah Rahmat Muhammad Fathan Fuad Muhammad Ikhwan Muhammad Irsyad Muhammad Nabil Afkar Muhammad Ricky Aryansah. B Muhammad Vannes Al Qadri Muhammad Yusril Muhammad, Zahir Mundeh, Marianne Mursalim Mursawal Mursawal Mustarum Musaruddin Mutmainnah Muchtar Mutmainnah Putri Kayla Nabila Saskia Arham nabilla, putri Nadaa Qur’atul‘Ain Nadya Ambarwati Nadya Elfareta Azarin Nafrizal Najwatul Hijriyah Natalis Ransi Natalis Ransi, Natalis Nathania, Meutya Nazarrudin, Rizal Ni Made Sri Ulandari Ni Wayan Erdiani Nina Hidayatunnikmah Ningrum, Ika Purwati Ningsih, Lilis Sugi Nono Satria Noviana Saputri, Kiki Nugraha, Nurcahya Nur Fadillah, Nur Nur Rahma Sela Nur, Indriyani Nurhafni Ahmad, Syarifah Nurmaladewi Nurmaladewi Nurmaladewi, Nurmaladewi Nurtiani, Devy Natalia Nurwijayanti Ode Yamin Arsy Fadillah Mbota, La Panaungi, Fajar Pratiwi Aprilya Wahid, Dwi Prianggoro, Dimas Purbosari, Ira Putri Arafa, Ninis Putriani, Ananda Putu Arimbawa Putu Arimbawa Putu Arimbawa, Putu Qubra, Rama Rafi Iyad Madani Chaidir rahayu ningsih, Lilis sugi 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 Ramadhan, Muhammad Afin Ramadhani, Annisa Auliya Ramadhani, Dwi Hikmah Ratnasari Ratnasari Ratnasari Rayadin, Muhamad Amhar Reskal, R Resti Ajeng Sutiani Rifaldi, Dwi Rina Rina Riofasesi, Daffa Riskan Riszal, Akhmad Rizaldy Setiawan Hasanuddin Rizkah Nurhasanah Rizki Eka Sakti Octaviani Roy Pane Ryan Septian Fajar, Muhammad Sabiqunassabiqun Saleh Badawi, Muh Samudin, Ayustina Saputra, Muh. Farhan Saputri, Shinta Arjunita Sarita, Ihsan Saudi, Septiyani Bayu 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 Srikandi, Raya Statiswaty Subardin Subardin Suci Oktavia Rahmadani SUGIYANTO Sulastri Apridayanti Sultrayansa Sumarni Sumarni Sumitro, Dewi Sari Suria, Fellonnisa Sutardi Sutardi Sutardi Sutardi Sutiyana Fachruddin Syahidatul Islamiyah Syam, Nurhana Syazwani, Nur Syukrina Bte Amirudin Tarkono Tarkono Tarkono Thalib, La Ode Jafar Umar 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 Abdullah, Weka Gusmiarty Wibowo, Bayu Adi Wicaksono, Mahruri Arif Widyosekti, M. Dhiku Wildayanti Yolanda Camelia Imelda Yunda Puji Lestari Yurika Sastyarina Yurika Sastyarina Yusup Hendronursito, Yusup Yuwanda Purnamasari Pasrun Zahro Al Maulidiyah Zulhanif Zulhanif, Zulhanif