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Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Infotech: Journal of Technology Information Al-Ahkam : Jurnal Hukum Pidana Islam Jurnal Pengabdian kepada Masyarakat Nusantara Ideguru: Jurnal Karya Ilmiah Guru Borneo Educational Journal (Borju) Journal of System and Computer Engineering Lontara: Journal of Health Science and Technology Telcomatics Window of Public Health Journal JOLLT Journal of Languages and Language Teaching Integrated Science Education Journal Jurnal Administrasi Publik dan Pembangunan (JPP) Urban and Regional Studies Journal EduLine: Journal of Education and Learning Innovation SOCIAL : Jurnal Inovasi Pendidikan IPS Oryza : Jurnal Pendidikan Biologi Journal of Information System and Technology (JOINT) Akuntansi Bisnis & Manajemen (ABM) International Journal of Social Service and Research Journal of Instructional and Development Researches Journal Peqguruang: Conference Series Journal Of Khairun Community Services Jurnal Nasional Holistic Science An Idea Health Journal Jurnal Ekonomi dan Manajemen Indonesia Jurnal Manajemen dan Budaya Global Health Science (GHS) Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Journal of Aafiyah Health Research (JAHR) Journal of Muslim Community Health (JMCH) Al-Buhuts (e-journal) ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Jurnal Kajian Ilmu Pendidikan (JKIP) AKADEMIK: Jurnal Mahasiswa Humanis Journal Of Human And Education (JAHE) Jurnal Locus Penelitian dan Pengabdian Tarbiyah Wa Ta'lim: Jurnal Penelitian Pendidikan dan Pembelajaran Chemistry Education Review INFORMATIKA Edukasia: Jurnal Pendidikan dan Pembelajaran Palakka : Media and Islamic Coummunication JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman Jurnal Basicedu Jurnal Ilmu Manajemen dan Pendidikan Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) Innovative: Journal Of Social Science Research Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Jurnal Al Mahsuni: Jurnal Studi Islam dan Ilmu Pendidikan Jurnal Penelitian Pendidikan Indonesia AGROTEKBIS: Jurnal Ilmu Pertanian JURNAL TEKNOLOGI LINGKUNGAN Jurnalistrendi: Jurnal Linguistik, Sastra dan Pendidikan Jurnal Intelek Insan Cendikia Journal of Fisheries & Marine Lontara Journal Of Health Science And Technology Mammiri: Jurnal Pengabdian Masyarakat Jurnal Akademika Kimia Media Penelitian dan Pengembangan Kesehatan Journal of Tropical Pharmacy and Chemistry Jurnal Sains dan Kesehatan Jurnal Perikanan dan Kelautan Jurnal Agroterpadu Mandalika Journal of Medical and Health Studies Jurnal Pendidikan MIPA Bilancia : Jurnal Studi Ilmu Syariah dan Hukum JPFT (Jurnal Pendidikan Fisika Tadulako Online) Jurnal Indonesia Mengabdi Jurnal Teknologi Sumberdaya Mineral Jurnal Riset Pecinta Matematika
Haeruddin Haeruddin
Departemen Manajemen Sumber Daya Pantai, Fakultas Perikanan Dan Ilmu Kelautan, Universitas Diponegoro
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Analisis Penerapan Pembelajaran Berdiferensiasi Oleh Guru Fisika SMA di Kota Palu Madani, Rara Adillah; Jarnawi, Muhammad; Haeruddin, Haeruddin; Miftah, Miftah
JPFT (Jurnal Pendidikan Fisika Tadulako Online) Vol. 13 No. 3 (2025): JPFT (Jurnal Pendidikan Fisika Tadulako Online)
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/jpft.v13i3.5053

Abstract

Penelitian ini bertujuan untuk menganalisis penerapan pembelajaran berdiferensiasi oleh guru fisika di SMA Kota Palu dengan fokus pada tiga aspek utama, yaitu pemahaman guru, implementasi dalam pembelajaran, serta kendala yang dihadapi. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan studi kasus. Subjek penelitian terdiri atas tiga guru fisika dari SMA Negeri 1 Palu, MAN 2 Kota Palu, dan SMA Labschool Untad Palu. Data dikumpulkan melalui angket, wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa guru memiliki pemahaman yang cukup baik mengenai prinsip diferensiasi, yang tercermin dari upaya mereka menyesuaikan konten, proses, produk, dan lingkungan belajar sesuai kebutuhan siswa. Implementasi ini mendukung pembelajaran fisika yang lebih inklusif dan adaptif. Namun, guru masih menghadapi beberapa kendala, seperti keterbatasan waktu, rendahnya motivasi belajar siswa, serta keterbatasan fasilitas dan pelatihan. Penelitian ini merekomendasikan dukungan berkelanjutan dari sekolah dan pemerintah melalui penyediaan sarana, pelatihan profesional, serta kebijakan pendukung agar penerapan pembelajaran berdiferensiasi dapat berjalan optimal.
Analyzing students’ errors and misconceptions in proof construction in abstract algebra course Ridwan, Ridwan; Haeruddin, Haeruddin
Primatika : Jurnal Pendidikan Matematika Vol. 14 No. 2 (2025)
Publisher : Program Studi Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/primatika.v14i2.6217

Abstract

This study aimed to identify and describe the types of errors and misconceptions made by students in the process of constructing proofs. Using a qualitative approach with a case study design, the subjects were fifth-semester students enrolled in the Abstract Algebra course at Mulawarman University. Three student responses showing significant error patterns regarding the Fundamental Isomorphism Theorem were purposively selected and analyzed based on the Selden & Selden framework. The results indicated that students faced notation, logical, and structural obstacles. Dominant errors included notation inflexibility (E3), reversed logic in surjective proofs due to quantifier neglect (E8), and structural misconceptions in defining kernel and image (M7). Additionally, over-generalization of real number rules in group operations (M5) was observed. These findings suggested that students remained at the procedural-thinking stage and had not yet reached the "Object" stage in their cognitive schema, resulting in a failure to build rigorous deductive arguments. This study recommends instructional interventions emphasizing the visualization of abstract structures and strengthening quantifier logic to minimize students' future epistemological obstacles.
Open Inquiry Module on Energy Transformation to Improve Creative Thinking and Collaboration Lestari, Putri Dian; Haeruddin, Haeruddin; Nurjannah, Nurjannah; Mansyur, Jusman; Kade, Amiruddin
Jurnal Ilmiah Pendidikan Fisika Vol 9, No 2 (2025): JUNE 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v9i2.14692

Abstract

The current energy transformation module does not support the application of the open inquiry approach, thus inhibiting students' skills. So, this study aims to develop an open inquiry energy transformation practicum module to improve creative thinking and collaboration skills. The development method used is research and development with the ADDIE model. Limited time and resources were considered, so a more in-depth evaluation was conducted in a follow-up study to evaluate the long-term impact of this module. The research was conducted at SMP IT Qurrota A'yun Palu in November 2024. The sample used was 1 class, namely class VIII D, totaling 30 students. The instruments used are tests, observations, and questionnaires. The test is in the form of a description to measure creative thinking skills. The researchers use observations to assess collaboration skills. Questionnaires for peer assessment of collaboration skills. Questionnaires are also for teacher and learner responses. The study found that the module's validation was 82.15%, categorised as valid. Teacher and student responses were 86.36% and 86.08%, respectively, in the very feasible category. Small group trials rated 92.01%, which was also very feasible, with some suggestions. Large group trials showed that the module improved creative thinking skills with an N-gain of 59% in the moderate category. Collaboration skills were assessed with an observer sheet (85.34% in very collaborative) and peer assessment (73.41% in collaborative). In conclusion, the module is valid and feasible for enhancing creative thinking and collaboration skills.
Random Forest Classifier Approach for Accurate Malicious URL Identification Haeruddin, Haeruddin; Elvert; Yulianto, Andik; Sabariman, Sabariman
Telcomatics Vol. 10 No. 2 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i2.11173

Abstract

Internet users currently face significant risks from malicious URLs that facilitate phishing attacks, malware distribution, and data theft. Traditional blacklisting methods have become ineffective against evolving cyberattack techniques. This study proposes a Random Forest classification approach for more accurate malicious URL detection, focusing on critical URL features including URL length, presence of special keywords, subdomain structure, and special character usage. these features train the Random Forest model to distinguish between safe and malicious URLs. We evaluate model effectiveness using accuracy, precision, and recall metrics. This research aims to develop a Random Forest-based malicious URL detection system that is more accurate and adaptive than conventional methods. The study examines both the advantages and limitations of this approach, along with its potential as a reliable detection solution for dynamic digital environments. Evaluation results demonstrate an overall accuracy of 94%, weighted average F1-score of 0.94, and macro average F1-score of 0.94.
Pemanfaatan Teknologi Drone dalam Menganalisis Kemiringan Lereng Sebagai Upaya Mitigasi Longsor di Desa Suco Kabupaten Jember Novianto, Dian Wahyu Khaulan; Haeruddin, Haeruddin; Suparno, Fanteri Aji Dharma
Jurnal Teknologi Sumberdaya Mineral Vol. 5 No. 2 (2024)
Publisher : Program Studi Teknik Pertambangan Fakultas Teknik Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jeneral.v5i2.53469

Abstract

Salah satu pemanfaatan teknologi drone adalah dalam mitigasi bencana longsor. Foto udara yang dihasilkan oleh drone tidak hanya berupa ortofoto, tetapi juga mencakup data Digital Elevation Model (DEM). DEM sendiri merupakan representasi digital dari ketinggian permukaan suatu area dalam bentuk tiga dimensi. Untuk menghasilkan informasi tentang tingkat kemiringan lereng, diperlukan data elevasi yang berasal dari DEM atau Digital Terrain Model (DTM). Kualitas DEM ditentukan oleh presisi, reliabilitas, dan akurasi data yang dihasilkan. Presisi dapat dicapai melalui metode fotogrametri, di mana kualitas data sangat bergantung pada sumber data seperti foto drone. DEM yang detail dan akurat akan meningkatkan kemampuan dalam pemodelan yang presisi. Perbedaan utama antara DEM presisi dan DEM non-presisi terletak pada tingkat detailnya. DEM presisi mampu merepresentasikan bentuk permukaan yang menyerupai kondisi nyata dengan nilai elevasi yang konsisten. Sebaliknya, DEM non-presisi, menurut South Australian Government Data Directory, tidak memiliki standar akurasi yang jelas dan sering kali dihasilkan dari proses aerotriangulasi dengan kualitas data rendah, sehingga resolusi dan presisinya rendah. Dalam penelitian ini, data DEM yang dihasilkan dari foto drone menggunakan UAV diolah menjadi DEM presisi untuk membuat peta kemiringan lereng yang sesuai dengan kondisi sebenarnya. Pengolahan DEM dilakukan secara otomatis menggunakan algoritma penyaringan dari DSM (Digital Surface Model) ke DTM (Digital Terrain Model), serta secara manual melalui proses pengeditan DEM. Analisis kemiringan lereng dilakukan pada permukaan DEM untuk menentukan kelas-kelas kemiringan. Berdasarkan hasil penelitian, peta kemiringan lereng yang dihasilkan dari DEM presisi menggunakan foto drone telah memenuhi standar ketelitian geometri peta dasar BIG No.15 Tahun 2014. Peta ini sesuai untuk skala 1:2500 pada kelas 2, dengan perbedaan elevasi antara peta dan kondisi lapangan kurang dari 1 meter. Peta kemiringan lereng tersebut dapat digunakan sebagai parameter dalam analisis risiko longsor untuk mendukung upaya mitigasi bencana.
Analisis Pengaruh Kelelahan Belajar dan Intensitas Kegiatan Asrama Terhadap Student Engagement pada Pembelajaran Matematika Siswa Kelas VIII dan IX SMP Budi Luhur Samarinda Iftinany, Zahrah Nazhifah; Azainil, Azainil; Samsuddin, Auliaul Fitrah; Haeruddin, Haeruddin
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 2 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i2.5580

Abstract

Penelitian ini bertujuan untuk mendeskripsikan kondisi pembelajaran matematika pada siswa kelas VIII dan IX SMP Budi Luhur Samarinda berdasarkan data empiris yang tersedia di sekolah tersebut. Fokus penelitian diarahkan pada pemahaman konteks pembelajaran matematika di lingkungan sekolah berasrama, yang memiliki karakteristik khusus baik dari segi manajemen pembelajaran, pola interaksi siswa, maupun pengaturan waktu belajar. Pemahaman kondisi awal pembelajaran matematika menjadi penting sebagai dasar perencanaan strategi pembelajaran yang efektif, relevan, dan sesuai dengan kebutuhan peserta didik. Pendekatan yang digunakan dalam penelitian ini adalah kuantitatif deskriptif dengan data sekunder berupa jumlah siswa yang diperoleh dari dokumentasi sekolah. Teknik analisis data meliputi perhitungan frekuensi, persentase, frekuensi kumulatif, rata-rata, dan simpangan terhadap rata-rata. Hasil penelitian menunjukkan adanya perbedaan jumlah siswa antar kelas, baik pada tingkat kelas VIII maupun kelas IX. Kelas IX A memiliki jumlah siswa terbanyak (31 siswa), sedangkan kelas VIII A memiliki jumlah siswa paling sedikit (18 siswa). Rata-rata jumlah siswa per kelas adalah 26,75 dengan nilai varians sebesar 26,19 yang menunjukkan adanya variasi ukuran antar kelas. Distribusi jumlah siswa yang tidak merata antar kelas memberikan gambaran awal mengenai kondisi heterogenitas peserta didik yang dapat memengaruhi dinamika pembelajaran matematika, termasuk pengelolaan kelas, interaksi belajar, serta efektivitas penyampaian materi. Selain itu, konteks sekolah berasrama memungkinkan adanya faktor tambahan seperti intensitas kegiatan belajar, kedisiplinan siswa, dan pola pembinaan akademik yang turut memengaruhi proses pembelajaran matematika. Temuan ini diharapkan dapat menjadi dasar pertimbangan bagi pihak sekolah dalam merencanakan strategi pembelajaran yang lebih kontekstual dan sesuai dengan karakteristik peserta didik di lingkungan asrama.
Pemanfaatan Software Tracker dalam Analisis Gerak Benda untuk Melatih Kemampuan Interpretasi Grafik Siswa: Utilization of Tracker Software in Object Motion Analysis to Train Students' Graph Interpretation Skills Ratnaningtyas, Delthawati Isti; Haeruddin, Haeruddin; Wahyono, Unggul; Pasaribu, Marungkil; Untara, Ketut Alit Adi; Selvianur, Selvianur; Wancenowati, Wancenowati
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 2 (2026): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v11i2.10946

Abstract

The ability to interpret graphs is important for students to understand the relationships between physical variables, which can lead to the discovery of concepts. There are problems with creating graphs for direct object motion analysis because the movement is fast, and there is a lack of supporting laboratory equipment, which hinders students from further interpreting the motion graphs. Tracker software can be used to determine the exact position and time of moving objects from video recordings of real events. However, students' knowledge of Tracker use remains minimal, and their graph-interpretation skills are also underdeveloped. Based on this, the purpose of this community service activity is to guide students in analyzing object motion using Tracker software, train students' graph-interpretation skills, and assess students' responses to the community service activity using Tracker in object motion analysis. The implementation of this community service consists of three stages: preparation, implementation, and evaluation. Community service activities include providing materials, conducting demonstrations, completing practical assignments using Tracker in object motion experiments, interpreting graphs, and giving presentations. The conclusion from this community service is that students can use Tracker software effectively to analyze object motion experiments, that students' graph interpretation skills are trained, and that students' graph interpretation skills improve. Students' responses are very good to the use of Tracker in object motion analysis to train graph interpretation skills.
Pengembangan Media Pembelajaran Interaktif Ispring Suite Dengan Desain Menggunakan Canva di SMK Negeri 4 Samarinda Fadhillah, Shendy Raihan; Haeruddin, Haeruddin; Akhyar, Ramaulvi Muhammad
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 9, No 4 (2025): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v9i4.18842

Abstract

Penelitian ini membahas pengembangan Media Pembelajaran Interaktif menggunakan Ispring Suite dengan menerapkan model ADDIE yang terdiri dari lima tahap, yaitu Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Media pembelajaran interaktif ini dibuat menggunakan Ispring Suite dengan fokus pada tahap konseptual awal untuk mengembangkan media pembelajaran interaktif sebagai alat bantu bagi guru selain Buku Panduan. Hasil uji kelayakan media pembelajaran menunjukkan kategori 'Sangat Layak' berdasarkan penilaian dari ahli media dengan rata-rata skor keseluruhan 4,49. Begitu juga dari penilaian ahli materi, media pembelajaran ini terkategori 'Sangat Layak' dengan rata-rata skor keseluruhan 4,54. Begitu juga dari penilaian siswa/responden, media pembelajaran ini mendapatkan kategori 'Layak' dengan rata-rata skor keseluruhan 4,18. Berdasarkan validasi dan ujicoba maka media pembelajaran interaktif berbasis Ispring Suite masuk dalam kategori ‘Sangat Layak’ dengan skor total keseluruhan 4,40.
Analisis Komparasi Algoritma Machine Learning Untuk Klasifikasi Kualitas Udara Indoor Berbasis Sensor Low-Cost Prasetyo, Stefanus Eko; Hansen, Irvan; Haeruddin, Haeruddin
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9024

Abstract

Indoor Air Quality (IAQ) has a significant impact on occupants’ health and comfort; however, limitations of conventional monitoring systems and the high cost of commercial devices have hindered the widespread implementation of indoor air quality monitoring. Sensor-based IAQ monitoring using low-cost devices provides an affordable solution; however, the resulting data often exhibit variability and noise, making direct interpretation challenging. This study presents a comparative analysis of several machine learning algorithms for indoor air quality classification using sensor data. The dataset was collected from DHT22 and MQ-135 sensors measuring temperature, humidity, and air pollutant levels, resulting in 18,000 samples evenly distributed across three air quality classes: Good, Moderate, and Poor. The proposed methodology includes data preprocessing through median imputation and feature standardization, stratified dataset splitting with a ratio of 70% training, 15% validation, and 15% testing data, and model training using four supervised learning algorithms: Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Gaussian Naive Bayes. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that all evaluated models achieved high classification performance, with KNN outperforming other algorithms by achieving an F1-score of 1.00 on the test dataset, while the lowest-performing model still achieved an F1-score above 0.96, indicating a relatively narrow yet consistent performance range among the evaluated algorithms. These findings demonstrate the effectiveness of machine learning approaches for indoor air quality classification using low-cost sensor data under controlled experimental conditions.
Integrasi Feature Engineering dan SMOTE pada Algoritma Random Forest untuk Prediksi Kerusakan Chip RFID di Industri Sel Surya Haeruddin, Haeruddin; Winata, Franklin; Tresnawan, Muhammad Ilham Ashiddiq; Wijaya, Gautama; Wijayanto Aripradono, Heru
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9038

Abstract

The electronics industry, particularly solar cell manufacturing, demands production processes that are fast, precise, and supported by high data integrity. One critical component in the production flow is the chip embedded in the flower basket, which functions to store and transmit data through an RFID system. Damage to the chip can lead to information loss, tag reading failures, and disruptions in production efficiency and continuity. This study aims to predict chip status, classified as either normal or damaged, based on various process parameters, including immersion temperature, ambient humidity, process pressure, machine vibration, drying speed, heating and cooling duration, firing temperature, usage frequency, and RFID reading conditions. A feature engineering approach is applied to construct more representative derived features, while SMOTE is utilized to address class imbalance in the dataset. This study focuses on developing a predictive model using the Random Forest method to identify the most influential process variables related to chip damage risk. The data used in this study are obtained from historical production process records of a solar cell manufacturing plant. The results indicate that combinations of multiple process parameters significantly contribute to the potential risk of chip damage, and the Random Forest model demonstrates good predictive performance in classifying chip conditions. These findings suggest that the proposed model can serve as an early warning system to detect chip damage risks before they impact production processes. With proper implementation, the predictive model is expected to support preventive actions, enhance data integrity, and minimize disruptions in the solar cell manufacturing workflow.
Co-Authors - Djuwito - Supriharyono ., parli_12 A. Dian Fitriana Abbas, Ibnu Abbas, Muhammad Abd Hamid, Syamsul Bahri Abdul Ghofar Abdul Kohar Mudzakir Abdul Malik Abdul Salam Munir Abdullah, Achmad Fauzy Aceng Haetami, Aceng Achmad Fama Adzrin Narulitha Afadil agung Suryanto Agus Hartoko Agustiani Puji Lestari Ahmad , Ibrahim Ahmad2, Ibrahim Ahmar, Dewi S. Ahri, Reza Aril Aigistina, Aigistina Aisyah, St. Akhmad Akhmad Akhmad Akhmad Akhyar Akhyar Akhyar, Ramaulvi Muhammad Akidah, Muhammad Syarifullah Hidayat al yakin, ahmad Al-Mutaher, Fadila Septina Alam, Samsu Alan Frendy Koropitan Alatas, Idrus Alfian Dony Saputra Alfian Noor Alfina Baharuddin Alfito, Alfito Ali, Nur Rifa Imtinan Sode Ali, Zulfaka Almeida, Maria Alwan, La Ode Muhamad Alwi, Muh Khidri Alwi, Muhammad Khidri Alwi, Muhammad Kidri Alzi Alzi AM, Nasrudin Amalia Rachma Fatchiyyah Amalia Swary Amaliya, Ceria Ambarwati Amelia AP, Andi Reski Amelia, Andi Rizki Amin, Ibnu Razak Amiruddin Kade Amran, Tria Ningsih S. Anabel Medendehe, Rizya Ananda, Ulfarica Desi Dwi Anas, Novitha Sri Anastasya, Anastasya Andi Asrina Andi Imrah Dewi Andi Nurlinda Andi Ridwan Jalal Andi Saeful Mubarak Andi Surahman Batara Andik Yulianto Andis K Nugraha Andy Abeh, Yohanes Anggita Wahyuningtyas Tungka Anggraini, Azza Liarista Anggreini, Putri Anhar Solichin Anin, Tince Yunarwati Aninditia Sabdaningsih Anita Anita Annisa Amalia Anshariah, Anshariah Ansori, Sopian AP, Andi Rizki Amelia Apriana, Erika Aprilia, Adhe AR, Iqbal Ardan, M. Ardyansyah, Muhammad Bayu Arfandi Adnan, Mohammad Arfin Rizal Aprinantyo Ariawan, Febio Arief, Syarifuddin Ariesryo, Kelvin Arif Aji Nugroho Arif Darmawan Arif Nurwaskito Arif Rahman Arif Rahman Arif Rahman Arifati, Atika Arifian, Nisfiatul Fauziah Aril Ahri, Reza Arini Arini Aripradono, Heru Wijayanto Arjum, Aso Arman Arman Arni Rizqiani Rusydi Asih, Endah Wahyuning Asih, Endah Wayuning Askari Zakariah Asriati Asriati, Asriati Asyril, Asyril Atami, Sekar Putri Ayu Rahayu Azahra, Hafidza Azainil Azainil Azis, Desi Safitria Aziz Nur Bambang Baco, Asmar Bahaking Rama Bahzar, Moh Baihaqi, Rafnandito Humam Bambang Sulardiono Barisan Barisan, Barisan Basir Palu Baso, Andi Basri, Zulkifli Basuki, Nabila Noor Alifa Batang, Samson Bawono, Pramesthi Mustikaning Beam Lim, Glory Berahman, Berahman Boedi Hendrarto Bone, Mahfuzun Bosma, Roel Bosma, Roel H. Budiman Budiman Caesa, Genio Cahyanti, Anik Cahyo, Tri Nur Cayati, Cayati Celvin, Celvin Chairun Annisa Aryanti, Chairun Annisa Cheryl, Cheryl Christian, Wenny Churun Ain Churun Ain Churun Ain Churun A’in Clara, Jessika Oktaviani Dance Tangkesalu Darsikin Darsikin Delianis Pringgenies Deni Kristiawan Dermawati, Dera Devi Asmiyatna Sari Dewa Restu Rianto DIAH AYUNINGRUM Diah Ayuningrum, Diah Dian Tri Pramesti Diana Rachmawati Diani Riezki Andara Disty, Adisty Anggraeni Putri B.Gobel Djihan Ryn Pratiwi, Djihan Ryn Djoko Suprapto Dominggo Givarel Dudung, Desy Dulsukmi Kasim Dwi Banu Purnomo Dwi Santi Putri Edi Usman Een Kurnaesih Eki Septiana Elvert Era Fazira Erfina, Erfina Erlin Erlin Errinda Pramesti Oktaviana, Errinda Pramesti Ervia Yudiati Eva Marin Sambo Fachrin, Suharni a. Fachrin, Suharni Andi Fadhila, Nurul Fadhillah, Shendy Raihan Fahyuddin Fahyuddin, Fahyuddin Fajar Basuki Fajar Fajar Fajar Sidik Pamungkas Fajriani, Kartika Fanteri Aji Dharma Suparno Farhan Syamsufalah Fatmah Afrianty Gobel Fauzia, Tiara Fauziyah, Dias Puteri Favian, Felix Febrianto, Sigit Febrilia, Serina Febry Entya Hutami Fentika Rahma Mentari Fikri Fikri Firanda, Firanda Firman Firman Firman syah, Firman Fitrauni, Rika Fitri Fitri Fitriadi, Ahmad Fitriani Fitriani Frida Purwanti Fristiwi Silvi Melinda Gautama Wijaya Gustina Gustina Gustina Gustina Habibie Habibie Hadu, Yuniarti Haeriyyah, Haeriyyah Haikal, Faqilliansi Hamzah Arhan HAMZAH, MUKHTAR Hamzah, Wardiah Handayani, Lisa Handayani, Ninik Handayani, Rif’ati Dina Hansen, Irvan Harpasis S Sanusi Harun, Salmah Haryaka, Usfandi Hasanuddin Kandatong Hasanudding Kandatong Hasanudin, Amelya Safitri Hasmawaty, Hasmawaty Hayu Asmawati Hendra Julianto, Hendra Hendra, Wawan Hendri, Patrick Pratama Henry, Thierry Herman Herman Herni Johan Hero, Hero Hidayah, Andi Muhammad Ilham Hidayati, Heni Hisnol Jamali Hiyang, Anastasia Horas, Erwin Hotri Enty Purba, Hotri Enty HR, Agus Salim Humaidin, Humaidin I Komang Werdhiana I Made Tirta I Nengah Marta I Wayan Artika I Wayan Artika I Wayan Darmadi Ibrahim , Ibrahim Ibrahim Ahmad Ibrahim Ibrahim Ichwani, Hanadila Caesadhiva Idris, Fairus Prihatin Idrus, S. Ahmad Gufran Ielda Paramita Iftinany, Zahrah Nazhifah Ijirana Ikhram Hardi S Ilham Ilham Imran Tahalua ImranTahalua, ImranTahalua Indo, La Ode Indraswari Putri Khaeksi, Indraswari Putri Indrayani, Wiwin Try Iqbal, La Ode Muhammad Irfandi Rahman Irmawati Irmawati Irzzan Gaus Islamiyah Islamiyah, Islamiyah Iswaty Chasanah Jacksen, Hery Jackson Jackson, Jackson Jamal, Hisnol Jamali, Hisnol Jasmin Ambas Jason, Jason Jessika Oktaviani Clara Jocelyn, Jocelyn Johannes Hutabarat Judrah, Muh. Jusman Mansyur Juwenie Juwenie Kafin Aulia Mayagitha Kaharuddin, Ari Wahyuni Kamaluddin Kamaluddin Kamelia Lestari Kamil, Nursahida Kandatong, Hasanuddin Karim, Harli A. Kartika Dewi Kasmudin Mustapa Ketut Alit Adi Untara Khaerul Hidayat Khaerunnisa Khaerunnisa, Khaerunnisa Khofifah Khofifah Khuzaimah, Andi Ulfah Koriston, Meyling puspitasari Kukuh Prakoso Kukuh Prakoso, Kukuh Kusmiah, Nurhaya Kusrianto, Edi Kusumah, Nurhadi Kusumaningtyas, Nurul Fadhilah Kusumawati, Arnita Ayu La Harimu Lahati, Sonny Laili Komariyah, Laili Laratu, Indah Nurhidayanti Latif, Rusli Lau, Andy Lazuardhi, Risqi Lee, Deven Leonardo, Kevin Lestari Lakhsmi Widowati Lestari, Putri Dian Lidia, Besse Lina - Mariana, Lina - Lutfia, Lutfia Luthman, Awang Yacoub Lysa Any Kusumawati M. Chiar Hijaz M. Hafizulhaq M.Djafar, Supriady Maarif, Ihsanul Madani, Rara Adillah Mafarudin, Mafarudin Magfirah, Magfirah Mahaka, Titan Yuri Maharani, Dhea Malinda Malinda, Malinda Maqhfirah.S, Aieny MARHADI, MUH. ALIM Marhawati Mappatoba Maria Yosephine Simbolon, Maria Yosephine Mariam Nasir Mariani, Lidya Rizky Mariati , Mariati Marsuki Marsuki, Marsuki Marungkil Pasaribu Masruhim, Amir Mauludi, Fadhil Max Rudolf Muskananfola Maysara, Maysara Mebang, Desi Natalia Mei Larasati Mersilia Busoso Mia Arista Sari Miftah Miftah, Miftah MIFTAHUL JANNAH Mindy, Avista Mitasari, Yona Mochammad Ardiansyah Mochammad Imron Awalludin Mohamad Jamhari Mohamed, Nabilaa Mohammad Jamhari Mohammad WIJAYA Monika Monika Mu'aziyah, Siti Eneng Sururiyatul Muh Fadli Faisal R Muh Yasin Noor Muhammad Anwar Muhammad Dwi Hudoyo Swarto Muhammad Faiz Fuady Muhammad Ikbal Muhammad Ikhtiar Muhammad Jarnawi Muhammad Ramli Muhammad Ridwan Muhammad Yasir Muhammad Zainuddin Muhammad Zainuddin Muhammad Zainuddin Muhammad Zaky Muhrim Djakat Muhtadin, Achmad Muin, Rahma Mulawarman, Widyamike Gede muliadiputra, agus Multazam, Andi mulyani, andi ulfah Mulyono Mulyono Munira Munira, Munira Murni, Siti Mursidin . Musdalifah Musdalifah Muslimin Muslimin Mustabsyirah, Mustabsyirah Musta’in Adinugroho Mustofa Nitisupardjo Musyarofah, Alivinda Aulia Safira Mu’aziyah, Siti Eneng Sururiyatul Mycharoka, Rachmad Kurnia Ramadhantio N. Laratu, Wahyuni Najah, Safirotun Nanang Widarmanto Nilna Almuna Rizqi Nimatul Mamuriyah Ningrum, Yulita Dwi Niniek Widyorini Nisa, Zahratun Nonci, Nurjannah Nora, Lalu Nora Winardi Norma Afiati Novananda Nadia Novianto, Dian Wahyu Khaulan Novriani Zainuddin Nujumunnisa, Nujumunnisa Nur Faizin Nur Khayati Nur Rahmah Nur Rochman Nur, Rizki Amalia Nurasyah Dewi Napitupulu Nurbaity Istiqomah Nurdiansari, Nurdiansari Nurdin, Widhi Mulya Nurfachri, Dhimas Arif Nurhayati Nurhayati Nurjannah Nurjannah Nurjannah, Nurjannah Nurlaili Nurlaili Nurlansi, Nurlansi Nurmentari, Nurmentari Nurmiati Muchlis Nurmita, Ista Nurun Fatonah Nuryasmi, Nuryasmi Ocky Karna Radjasa Ocky Karna Radjasa Oktaviano, Rafael Oktavianto Eka Jati Otji, Sadriyansah ST Paksitya Purnama Putra Palar, Andi Nur Tenri Ratu Paramitha, Ielda Pardawati Pardawati Parhan, Parhan Patahuddin Patahuuddin Petrus Fendiyanto Prasetyo, Stefanus Eko Pratama, Wahyu Prasetya Pristanto, Fahreza Nanda Priyadi, Fitri Fauziyah Pujiono Wahyu Purnomo Pujiono Wahyu Purnomo Pujiono Wahyu Purnomo Purba, Raymond Doresmas Puspitasari, Ni Luh Gede Dian Putri March F Hia Putri, Novita Putri, Sry Dewi Rachmat, Abdul Raden Mohamad Herdian Bhakti Radjulaeni, Nur Azizah A. Rafiq Fitriadi Rafiq Fitriadi Rahmanpiu, Rahmanpiu Ramadani, Ersa Ramadani, Fitrah Ramlah Ramlah Ramlan Ramlan Rasyid, Sofya A. Rasyid, Sofya A. A. Rasyidin Abdullah Ratman Ratman Ratnaningtyas, Delthawati Isti Ratnawati, Eny Restiana Wisnu Ariyati Reza Aril Ahri Ridwan Ridwan Rieza Ayu Marwah, Rieza Ayu Ripto, Ripto Rizki Ilmianih Roni Ekha Putera Rosmasari Rosmasari, Rosmasari RR Eko Widy Astuty Sumanto RR. Ella Evrita Hestiandari Rudi Santoso, Rudi Rufaidah, Fadhilah Rusdiah Hasanuddin Rusman, Arman Rusni Rusni, Rusni Rusniati Rusniati Rusydi, Arni Rizqiany Rusyidi, Arni Rizqiani Sabariman Sabariman Sabtohadi, Joko Safitri, Encik Raisya Indria Safitri, Erica Meilia Safitri, Sindi Safrudiannur Safrudiannur Safrudin Safrudin Sahabuddin, Chuduriah Sahala Hutabarat Sahid, Muhammad Sahrul Saehana Saifurridzal, Saifurridzal Sakti Imam Muchlissin Salam, Dewi Syafia Sam, Muliani Samara, Daud Sambali, Hartati S. SAMRIA, SAMRIA Samsidar Jamaluddin Samsualam, Samsualam Samsuddin, Auliaul Fitrah Sani, Nurul Kami Santosa, Yogi Rachmat Saputra, Irvan Sari, Citra Purnama Sari, Dita Yuliana Sarjito - Schrama, Johan Selvianur, Selvianur Setiawan, Bagus Dwi Setiawan, Endry Shidiq, Ahmad Fajar Siadina, Siadina Simangunsong, Erica Siti Aminah Siti Fatmawati Siti Rudiyanti Siti Saidah Sitorus, ellen Sitti Patimah Sonny Lahati Sonny Lahati Sopiyan, Sopiyan Sri Ekawati Sri Handayani Sri Kandhini Sri Nurchayati Sri Rejeki Sri Sedjati Sriwati Sriwati Su, Vincent Suardin, Dina Subiyanto - Sudarman Sudarman Sudarti Sudarti Sudirman Sudirman Sugianto Sugianto Sugiarti, Eka suharmi, Suharmi Suharni Suharni SUKAMTI . Sukman, Musyarrafah Sukmawati Sukmawati Sukmayanti, Ni Made Sulasmini Sulasmini Suliati, Ni Kade Sulistiyani, Heni Sumiati Sumiati Sumiaty Sumiaty Supriharyono Supriharyono Supriharyono Supriharyono Supriharyono Supriharyono Supriyadi, Supriyadi Suradi Wijaya Saputra Suradi Wijaya Saputra Susilawati, Susilawati Sutono Sutono Sutrisno Anggoro Syaeful Anas Aklani, Syaeful Syafri, Syafri Syafrimansyah, Syafrimansyah Syahrul Ramadhanul Fajri Syaiful Bachri Syamsu Syamsu Syamsuriwal, Syamsuriwal Syarifuddin Arief Syarifuddin Syarifuddin Syen, Ayu Azizah Tahalua, Imran Tallamma, Muhammad Alkautsar Tambunan, Audi Aryna Taro, Jesika Gabreila Taufik Tahir Teguh Edi Setiawan Tengku Riza Zarzani N Tewa, Yuniati Tiro, Frelyana Tjua, Selina Tresnawan, Muhammad Ilham Ashiddiq Tri Widyasari, Tri Tri Winarni Agustini Trienes, Yoni Tsaqalain, Tsiqah Tunggal, Anggunan Tyas Lufiana Ulfah, Jumiati Umairoh, Za’zika Umar, Warniawati Unggul Wahyono Untu, Zainuddin Usman Usman Uswah Hasanah Uswatun Hasanah Utami, Sedya Susilasih Vinrens, Vinrens Vivi Endar Herawati Wahyuddin Naro Wahyuni Nasir Laratu Wahyuni, Fidya Ridha Wan, Markus Wancenowati, Wancenowati Wandi Wandi Wardhani, Pramudia Warman Warman Watulingas, Jefferson Roosevelt Wendi Wendi, Wendi Werdani, Riandhita Eri Wesmikel, Wesmikel Wibawa, Radhitya Widyatmike Gede Mulawarman Widyatmike, Widyatmike Wijaya Syam, Azwar Winata, Franklin Winda Sari Windi Afdal, Windi Winni Astuti, Winni Wiwik, Wiwik Worku, Hassen Wulandari Wulandari Yahya Thamrin Yasin, Muh. Alauddin Yeni Suryani Yuliani Setia Dewi Yulianto, Andik Yuliati - Yuliati Yuliati Yullita, Ilma Yusriani, Yusriani Yustiara Widya Saraswati Yusuf Kendek Yusuf, Rezky Aulia Yuvier, Maxi Zainuddin, Novriani Zaky , Muhammad Zuhriah Zuhriah, Zuhriah