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All Journal E-Jurnal Medika Udayana Jurnal Ilmiah Kursor Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi International Journal of Artificial Intelligence Research Jurnal Biologi Tropis RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro JMM (Jurnal Masyarakat Mandiri) Lectura : Jurnal Pendidikan Jurnal Pengabdian Magister Pendidikan IPA Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Local Government Issues JURNAL KESEHATAN DELIMA PELAMONIA Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) Science Midwifery Jifosi Heart Science Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara MESA (Teknik Mesin, Teknik Elektro, Teknik Sipil, Teknik Arsitektur) Jurnal Teknik Informatika (JUTIF) Jurnal Aksioma Al-Musaqoh Jurnal Kesehatan Tambusai Jurnal Ilmiah Wahana Pendidikan ELIPS: Jurnal Pendidikan Matematika Caring : Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Al Khidma: Jurnal Pengabdian Masyarakat INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Prosiding Konferensi Nasional PKM-CSR Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya JUSIFOR : Jurnal Sistem Informasi dan Informatika eProceedings of Engineering Indonesian Journal of Innovation Multidisipliner Research Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Journal of Technology and System Information
Basuki Rahmat Masdi Siduppa
Institut Ilmu Kesehatan Pelamonia Kesdam XIV Hasanuddin
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The Knowledge Level of Hypertension Stage 2 Patients at Harapan Keluarga Hospital Regarding Complications in the Form of Aortic Aneurysm Sinaga, Keysha Angelica; Arsatt, Maz Isa Ansyori; Rahmat, Basuki; Wedayani, Anak Agung Ayu Niti
Jurnal Biologi Tropis Vol. 25 No. 2 (2025): April-Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i2.8807

Abstract

Hypertension is a major contributor to cardiovascular complications, including aortic aneurysms, which can be fatal if left untreated. This study aims to examine the relationship between the level of hypertension, particularly stage 2, and the incidence of aortic aneurysm. A retrospective cohort analysis was conducted using medical records of 24 patients diagnosed with varying degrees of hypertension and aortic aneurysm at Harapan Keluarga Hospital in December 2024. Statistical analysis using the chi-square test revealed a significant association between hypertension severity and the incidence of aortic aneurysm (p = 0.000), with an odds ratio of 2.001 (95% CI: 2.010–2.229). These findings emphasize the need for enhanced patient education and preventive strategies, particularly among those with hypertension stage 2, to mitigate the risk of aneurysm-related complications.
RANCANG BANGUN ON OFF SEPEDA MOTOR MENGGUNAKAN WIFI DENGAN ESP32 Widi Saputro, Tegar; Rahmat, Basuki; Idhom, Mohammad
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.v9i3.13626

Abstract

Perkembangan teknologi Internet of Things (IoT) telah membawa perubahan signifikan dalam berbagai aspek kehidupan, termasuk dalam bidang transportasi, di mana pengendalian kendaraan secara nirkabel menjadi semakin populer. Namun, sistem pengendalian sepeda motor saat ini masih mengandalkan kunci kontak manual, yang memiliki keterbatasan seperti risiko kehilangan kunci atau kerusakan mekanis, serta kurangnya fleksibilitas dalam pengendalian jarak jauh. Penelitian ini bertujuan untuk merancang dan membangun sistem pengendalian on-off sepeda motor menggunakan teknologi WiFi berbasis ESP32, yang dapat menggantikan fungsi kunci kontak manual dengan sistem nirkabel yang diakses melalui smartphone. Metode penelitian meliputi perancangan sistem, implementasi perangkat keras, dan pengujian fungsionalitas. Sistem ini terdiri dari sepeda motor Supra X 110cc tahun 2004, aki motor, step down, ESP32 WROOM 32D, push button untuk mematikan relay saat pengisian bensin, dan relay 3V sebagai saklar pengganti kontak motor. Tegangan dari aki motor 12V diturunkan menjadi 5V menggunakan step down, kemudian dialirkan ke ESP32, push button, dan relay 3V. Hasil pengujian menunjukkan bahwa sistem dapat berfungsi dengan baik, memungkinkan pengendalian on-off sepeda motor melalui smartphone dengan jarak jangkauan hingga 10 meter di lingkungan terbuka. Sistem ini juga dilengkapi dengan push button sebagai fitur keselamatan untuk mematikan relay secara manual saat pengisian bensin, sehingga menghindari risiko kebakaran. Meskipun demikian, terdapat beberapa keterbatasan, seperti jarak jangkauan yang berkurang di lingkungan tertutup dan waktu respons relay yang mencapai 1-2 detik. Secara keseluruhan, sistem ini diharapkan dapat meningkatkan kenyamanan dan keamanan pengguna sepeda motor.
IDENTIFIKASI PENYAKIT DAUN PADI DENGAN METODE TRANSFER LEARNING MOBILENET - SUPPORT VECTOR MACHINE Lizard Sambawo Dimara, Denis; Rahmat, Basuki; Maulana, Hendra
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.v9i3.14245

Abstract

Padi adalah komoditas utama dalam sektor pertanian Indonesia yang sangat rentan terhadap penyakit seperti brown spot, bacterial blight, blast, dan tungro, yang dapat menurunkan hasil panen secara signifikan. Proses identifikasi penyakit secara manual oleh petani dinilai kurang efisien dan sering kali menghasilkan kesalahan. Penelitian ini bertujuan untuk mengembangkan model klasifikasi penyakit pada daun padi dengan menggunakan teknologi transfer learning, yang menggabungkan MobileNetV3-Small dan Support Vector Machine (SVM). Metode yang diterapkan mencakup pemrosesan dataset citra daun padi yang meliputi empat jenis penyakit, serta penggunaan teknik augmentasi data untuk meningkatkan keragaman dan kualitas data pelatihan. Hasil evaluasi menunjukkan bahwa kombinasi MobileNetV3-Small dan SVM memberikan akurasi tertinggi yaitu 99,66%, yang lebih unggul dibandingkan model MobileNetV3-Small 99,24% dan SVM 95,02% secara terpisah. Berdasarkan analisis confusion matrix, model ini terbukti sangat akurat dalam mengklasifikasikan penyakit meskipun ada beberapa kesalahan pada kelas-kelas dengan kesamaan visual yang tinggi
The Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture on The Implementation of The Principles Government Organizations In Indonesia Hartanto, Beni; Rahmat, Basuki
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1491

Abstract

The purpose of this study is to determine and analyze Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture on The Implementation of The Principles  Government Organizations In Indonesia.. The research sample consisted of 104 State Civil Apparatus whose duties were related to those studied. The research method used is an explanatory survey approach to explain the relationship between variables through hypothesis testing in the field. Research that uses descriptive surveys and explanatory survey methods is carried out by collecting information from samples directly at the scene of the incident (empirical) through questionnaires with the aim of finding out the opinions of the samples regarding the research problem. And this research uses the Partial Least Squares Structural Equation Modeling analysis technique (PLS-SEM), to model many variables in research  Results and Discussion: To examine the influence of mediator variables, Partial Least Squares Structural Equation Modeling analysis technique (PLS-SEM),to estimate the causal relationship between variables (causal model) that has been determined previously based on the theory. Answering research questions requires correct statistical data processing. This is based on the results of hypothesis testing, the t-statistics results obtained were 3,287 and the significance results (pvalue) obtained were 0.000 (0.000<0.05), so Ho was rejected and Ha was accepted. The test results prove the Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture This is based on the results of hypothesis testing, the t-statistics results obtained were 2.845 and the significance results (pvalue) obtained were 0.001 (0.001<0.05), so Ho was rejected and Ha was accepted. The test results the the Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture
Predictors of right subclavian artery tortuosity in trans-radial coronary angiography access Ermawan, Romi; Pintaningrum, Yusra; Rahmat, Basuki; Putra, AASM Meiswaryasti; Indrayana, Yanna
Heart Science Journal Vol. 6 No. 3 (2025): Advancements in Cardiac Imaging : Unlocking New Perspectives on the Heart Visua
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.hsj.2025.006.03.13

Abstract

BACKGROUND: Trans-radial access has become the new standard and is increasingly in demand in coronary angiography. However, this method can fail due to tortuosity of the right subclavian artery. OBJECTIVES: This study aims to identify the predictors of right subclavian artery tortuosity. METHODS: This retrospective case-control study was conducted at two of the largest hospitals in West Nusa Tenggara, Indonesia. All research data were obtained from secondary sources, including video recordings of coronary angiographies, angiography reports, and patient medical records. Predictors included age, gender, smoking, height, body mass index, hypertension, diabetes mellitus, systolic and diastolic blood pressure, and random blood sugar. RESULTS: The study involved 80 subjects, divided into right subclavian artery tortuosity and normal group, with 40 subjects each. The prevalence of tortuosity was 8.1%, while the success rate of trans-radial access was 70.0%. Four significant predictors were identified: smoking (adjusted OR 0.26; p = 0.019), hypertension (adjusted OR 4.83; p = 0.020), diastolic blood pressure (adjusted OR 1.05; p = 0.044), and body mass index (adjusted OR 1.16; p = 0.035). The optimal cutoff points were determined to be a body mass index of ≥ 24.4 (sensitivity 60.0%; specificity 60.0%; p = 0.006; AUC = 0.665) and diastolic blood pressure of ≥ 78.5 mmHg (sensitivity 67.5%; specificity 67.5%; p = 0.002; AUC = 0.685). CONCLUSION: This study has identified smoking, hypertension, diastolic blood pressure, and body mass index as significant predictors of right subclavian artery tortuosity in trans-radial coronary angiography access. 
ELECTRONICS FUN HOURS: DEVELOPMENT OF ANALOGUE LINE FOLLOWER MODUL AS AN INTERACTIVE LEARNING APPROACH FOR HIGH SCHOOL STUDENTS Ramadhani, Farah; Rahmat, Basuki; Erixno, Oon
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i2.29067

Abstract

Abstrak: Peningkatan kemampuan praktikal dalam bidang elektronika sangat penting diajarkan pada siswa khususnya pada tingkat menengah atas. Namun, peningkatan skill praktikal biasanya hanya menggunakan modul terstruktur yang diberikan secara berkala. Diperlukan sebuah pengalaman pembelajaran lain untuk meningkatkan skill siswa dalam bidang perangkaian elektronik yang dikombinasikan dengan kemampuan berkolaborasi dan berkompetisi antar kelompok. Agenda yang dilaksanakan oleh tim dosen dan Mahasiswa Telkom University bertujuan untuk mengasah kemampuan perangkat keras siswa menegah atas dalam bidang elektronika yang diikuti dengan peningkatan softskill di bidang manajerial kelompok dan kompetisi. Metode yang digunakan adalah berupa pemaparan materi singkat sebagai pengantar, diikuti dengan perangkaian hardware aplikasi line follower secara berkelompok. Hasil dari rangakain robot analog line follower dipertandingkan oleh siswa dalam bentuk kelompok. Kegiatan ini diikuti oleh 30 siswa yang dibagi menjadi 6 kelompok. Berdasarkan hasil wawancara dan evaluasi angket, lebih dari 90% siswa menyatakan acara ini bermanfaat bagi mereka untuk meningkatkan kemampuan dibidang elektronika. Selain itu, lebih dari 92% siswa menyatakan kegiatan ini memberikan pengalaman baru dalam pembelajaran elektronika secara praktikal.Abstract: The improvement of practical skills in the field of electronics is very important to teach students, especially at the upper secondary level. However, the improvement of practical skills usually only uses structured modules provided periodically. Another learning experience is needed to enhance students' skills in the field of electronic circuit design, combined with the ability to collaborate and compete among groups. The agenda carried out by the team of lecturers and students from Telkom University aims to sharpen the upper secondary students' hardware skills in the field of electronics, followed by the enhancement of soft skills in group management and competition. The method used was a brief presentation of the material as an introduction, followed by the assembly of line follower application hardware in groups. The results of the analog line follower robot assembly were competed by the students in groups. This activity was participated in by 30 students divided into 6 groups. Based on the results of interviews and questionnaire evaluations, more than 90% of students stated that this event was beneficial for them in improving their skills in the field of electronics. In addition, more than 92% of students stated that this activity provided new experiences in practical electronics learning.
Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Rahmat, Basuki; Wijaya, I Gede Putu Oka Indra; Ikhsan, Rifki Rahman Nur; Yustika, Lindiasari Martha; Raharjo, Jangkung
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1170

Abstract

Generator scheduling remains an intriguing issue within the energy industry. It relates to the optimization of production costs, where system operators must select the optimal combination of available resources to minimize production costs. This paper proposes an enhancement to the Equal Incremental Cost (EIC) Method using Adjustable Gamma Control (AGC) in generator scheduling. Iterations begin with an initial lambda value, then gradually increase with the application of the factor until power demand is met. A variable of 10% is used as an adjustment step in the optimization method. The proposed method is capable of achieving convergence with 100% accuracy, where the power generated by all generators precisely matches the load demand (2,650 MW), at a cost of USD 32,289.03. EIC-AGC ranks second-best after VLIM, albeit with the consequence of consuming 195 seconds. This method is expected to have a significant impact on designing highly accurate economic dispatch techniques. Thus, generator scheduling will lead to a reduction in operational costs compared to current practices.
Sistem Monitoring Kualitas Air Sungai Berbasis Komunikasi LoRa Ramadhan, Dimasfika Rizqi; Rusdinar , Angga; Rahmat, Basuki
eProceedings of Engineering Vol. 11 No. 5 (2024): Oktober 2024
Publisher : eProceedings of Engineering

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

Abstract

Abstrak — Sungai Citarum merupakan sungai yang tercemar oleh berbagai faktor baik dari pembuangan sampahmasyarakat serta limbah pabrik yang terbuang disemenanjungsungai Citarum. Petugas program Citarum Harum yang bertugas dalam proyek tersebut memerlukan rekapitulasi datakondisi air sungai Citarum tiap minggunya sebagai bahan evaluasi tingkat kontaminasi sungai. Data kualitas air yangdiperlukan salah satunya adalah kadar pH dan kadar zat padat terlarut. Petugas perlu turun ke permukaan daerah aliransungai yang berbahaya untuk melakukan pengambil data dan sample secara manual.Untuk mendapat nilai parameter kualitas air tersebut makaperlu dirancang Sistem Monitoring Kualitas Air sungai yangakan dipasang dipada tepian sungai. Sistem terdiri atas sensorsensor yang dapat mengakuisisi data yang diperlukan dansistem transmisi data berbasis LoRa untuk mengirim datadengan jarak yang jauh. Setelah data terakuisisi, data akanditransmit ke markas pemantauan untuk direkapitulasi dalam database.Alat ini diharapkan dapat membantu petugas dalamperawatan sungai Citarum. Setelah hasil uji coba, tingkatakurasi alat cukup tinggi dengan %error bernilai 3.576%,sehingga %akurasi sensor pH sebesar 94.4%. Selanjutnya%error sensor TDS bernilai 14.026%, sehingga %akurasibernilai 85.97%. Jarak maksimum antara Transmitter danReceiver adalah 67.92 meter. Kata kunci— Sistem Monitoring, Kualitas Air Sungai, pH Air, Kadar Logam Air, Transmisi Data
Sistem Pemantauan Tempat Sampah Berbasis Internet of Things Irsyad, Ananda Muhammad; Muayyadi, Achmad Ali; Rahmat, Basuki
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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

Abstract

Tempat sampah sering kali diabaikan dalam pengelolaannya, yang dapat menyebabkan dampak negatif terhadap lingkungan, seperti bau tidak sedap dan kondisi tidak nyaman di sekitarnya. Untuk mengatasi masalah ini, dirancang sistem pemantauan volume tempat sampah berbasis Internet of Things (IoT) dengan memanfaatkan beberapa sensor. Sensor ultrasonik HC-SR04 digunakan untuk mendeteksi ketinggian sampah, sementara sensor gas MQ-2 berfungsi sebagai detektor gas berbahaya untuk mencegah potensi kebakaran, dan sensor api mendeteksi adanya kebakaran. Semua sensor terhubung ke mikrokontroler NodeMCU ESP32-S3, yang berperan mengumpulkan dan mengirimkan data ke Firebase. Data ini kemudian ditampilkan melalui aplikasi Android, yang memungkinkan pengguna untuk memantau kondisi tempat sampah secara real-time. Selain itu, pengguna akan menerima notifikasi ketika tempat sampah penuh, atau ketika ada deteksi asap, gas, atau api. Sistem ini diharapkan dapat membantu mengelola sampah dengan lebih baik dan mencegah potensi risiko bahaya, sehingga menjaga kebersihan dan kenyamanan lingkungan secara efektif. Kata kunci— Android, IoT, Monitoring, Mikrokontroler, Tempat Sampah.
Optimization of Earthquake B-Value Prediction in Java Using GRU and Particle Swarm Optimization Nursyahada, Kesya; Rahmat, Basuki; Nurlaili, Afina Lina
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2521

Abstract

Accurate prediction of earthquake parameters is essential for seismic risk assessment and disaster mitigation, particularly in tectonically active regions such as Java Island, Indonesia. This study presents a novel predictive model for estimating the earthquake b-value a fundamental seismological parameter representing the logarithmic relationship between earthquake frequency and magnitude by integrating a Gated Recurrent Unit (GRU) neural network with Particle Swarm Optimization (PSO). The model is trained using earthquake catalog data from 1962 to 2024, sourced from the Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG). The GRU architecture is selected for its effectiveness in modeling temporal dependencies in seismic time series data. PSO is employed to optimize essential hyperparameters, including the number of GRU units, learning rate, and dropout rate. The optimized model achieves notable improvements in predictive performance: Mean Squared Error (MSE) is reduced from 0.00435 to 0.00030, Root Mean Squared Error (RMSE) from 0.0509 to 0.0173, and Mean Absolute Percentage Error (MAPE) from 3.42% to 1.12%. Training time is also reduced from 57 seconds to 33 seconds, indicating greater computational efficiency. The optimal PSO settings include an inertia weight of 0.8, cognitive and social coefficients of 1.0, 40 particles, and 10 iterations. The primary novelty of this study lies in its targeted application of PSO-optimized GRU architecture for b-value prediction in a seismically complex region. These results demonstrate that evolutionary optimization significantly enhances deep learning performance, providing a robust and efficient framework to support earthquake forecasting and risk mitigation efforts in high-risk zones such as Java Island.
Co-Authors Abdurrahman, Nizar Abdurraman, Abdurraman Achmad Ali Muayyadi Achmad Junaidi Adi Laksono, Surya Adidaifa, Muhammad Fikri Adila, Ma’ratul Afandi, Azhar Agung Satrio Nugroho Agus Khumaidi Agussalim, Agussalim Ahmad Sugiana ajibekti, ari Akbar, Iqbal Imani Khoirul Akbar, Nugraha Malik Aminuyati Anak Agung Ayu Niti Wedayani Andreas Nugroho Sihananto Angga Rusdinar Anwar, Mochamad Saiful Ardi Pramono Arifin, Moehammad Riyadh Arifuddin, Asyima Aristya Nur, Dey Salwa Arrosyid, Muhammad Habib Arsatt, Maz Isa Ansyori Arum Prabowo, Galih Asmara, Hadhimulya Aspar, Hukmiyah Atsani, Nadhifah Azizah, Ratih Nuur Azmi, Naurah Arika Bagus Kantwa Abhimantra, Gede Basuki Rahmat Budi Nugroho Dewi, NI Putu Wahyu Eastiya Dian Puspita Sari Dianita Wardani Diyasa, I Gede Susrama Mas Dyah Purwaningrum Elvira Sari Dewi Erixno, Oon Erlangga, Heri Eva Yulia Puspaningrum Fahanani, Agwin Fahmi Farahdiba, Idha Fariztia, Alifia Intan Fathoni, Jazimah Nur Fauzan Novriandy, Muhammad Febriano, Luis Figo Fetty Tri Anggraeny Geofany, Shania Ardelia Hardiant, Excell Defry Harliza, Baiq Fanindya Hartanto, Beni Haryanto, Wawan Hasan Hasan Hasanah, Hesti Dwi Puteri Henni Endah Wahanani Herawati, Yoshi Inne Hilman, Acep Humam, Anang Muh. Nufal I Gede Putu Oka Indra Wijaya Ida Ayu Eka Widiastuti Idhana, Ilham Ainur idhom, Mohammad Indrayana, Yanna Indriyanti, Anggi Iqlima, Aisya Yafis Irsyad, Ananda Muhammad IRSYADI, FAKIH Irwan, Hadriani Islamy, Habiel Jangkung Raharjo Karmila Karmila karmila karmila Kartini Kartini Khilda Afifah Kristianingrum, Niko Dima Kumboyono Kumboyono Kusminah, Imah Luluk linda mayasari, linda Lizard Sambawo Dimara, Denis Lukman, Dian Azizah M Darfyma Putra Makbul Muksar Matalangi, Matalangi Maulana Herza, Fakhri Maulana, Asrul Maulana, Hendra Maulana, Muhammad Rafi Moh. Sidik Priadana Mohamad Ramdhani Mohede, Nadif Rayhan Julio Mudzakir, Mohammad Alfian Muhammad Muharrom Al Haromainy Muhammad Ridho Rosa Muhammad Zakiyullah Romdlony Muyasaroh Nadhifah, Umi Ngkolu, Nurmulia Wunaini Nisrina, Safira Fegi Nur Firmansyah, Taufik Nurchalifah, Jessenia Eldora Nurlaili, Afina Lina Nursyahada, Kesya Pangestu, Arif Fajar Paradiesta, Andi Frieskha Naurah Pintaningrum, Yusra Putra, AASM Meiswaryasti Putra, Handie Pramana Rah Adi Fahmi Ginanjar Rahman, Moch. Aulia Ramadhan, Dimasfika Rizqi Ramadhani, Farah Rasjid, Azka Avicenna Ratantja Kusumajati, Fatwa Rendy Munadi Rifki Rahman Nur Ikhsan Rijali, Muhammad Rizal Fahmi Romi Ermawan, Romi S Sudirman, S Sajiwo, Achmad Fauzihan Bagus Salsabila, Baiq Ghefira Rojwani Putri Salsabila, Tsania Zulfa Salsabilah, Andini Fitriyah Salsabilah, Maida Sania Samad, Mohammad Ardani Samsul Hadi Sardjasasmita, Agi Sari, Putu Suwita Sari Savitri, Puti Amelia Setyaningsih, Diva Ayu Sinaga, Keysha Angelica Sugeng Santoso Sugiyarto Sugiyarto Sulthan Ahmad Suryani, Elsa Indah Susrama Mas Diyasa, I Gede Swastirani, Astika Syadilla, Iryne Putri Syarif, Darmiati Syihabuddin, Muhammad Tsuru, Masato Ubai Dillah Umi Narimawati Untari, Lania Pradiva Viet Ha, Nguyen Wahyu Sulistya Affarah, Wahyu Sulistya Wahyuningsih, Pujianti Wardoyo, E. Hagni Widi Saputro, Tegar Wulandari, Ikrawanty Ayu Yoga Pamungkas Susani Yustika, Lindiasari Martha