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Muhammad Ikhsan

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Implementasi Forward Kinematics pada Prototipe Robot Lengan Pembuat Kopi Mutiarani, Mutiarani; Ikhsan, Muhammad
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3860

Penelitian ini bertujuan mengimplementasikan Forward Kinematics pada robot lengan 4-DOF untuk pembuatan kopi otomatis. Prototipe menggunakan Arduino Uno, PCA9685, servo MG996R/MG90S, relay, dan pompa air mini. Gerakan diprogram dengan teach mode dan disimpan di EEPROM dengan kontrol open-loop. Metode Forward Kinematics dengan parameter Denavit-Hartenberg digunakan untuk menghitung posisi end effector dan divalidasi melalui pengukuran fisik pada 30 titik uji. Hasil menunjukkan error rata-rata 1,36 cm dengan tingkat keberhasilan 83% dan waktu eksekusi rata-rata 29,47 detik per siklus. Penelitian ini membuktikan metode Forward Kinematics dengan parameter DH efektif untuk validasi akurasi posisi robot lengan open-loop pada aplikasi F&B, serta prototipe dapat meningkatkan otomasi produksi skala kecil di industri F&B.

RANCANG BANGUN SISTEM DETEKSI KERUSAKAN BUAH APEL MERAH BERBASIS MIKROKONTROLER DENGAN PENDEKATAN LOGIKA FUZZY SUGENO Dini, Juan; Ikhsan, Muhammad
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3863

The manual apple sorting process still has limitations in terms of speed, objectivity, and accuracy, thus potentially reducing product quality in the market. This study aims to design and implement a microcontroller-based red apple damage detection system with a Sugeno Fuzzy logic approach using a TCS3200 color sensor and an MQ-135 gas sensor. Color and gas parameters are used as indicators of physical and chemical changes in the fruit due to the decay process. Sensor data is processed by a microcontroller to classify the condition of apples into three categories, namely good, slightly damaged, and severely damaged, and to control the sorting mechanism automatically. The research method is carried out through prototype design, experimental data collection, application of fuzzy rules, and system testing on 30 apple samples. The test results show that the system is able to classify 26 of the 30 samples correctly with an accuracy level of 86.7%. These findings prove that the combination of color and gas sensors with the Sugeno Fuzzy approach is effective for detecting apple damage automatically and has the potential to increase the efficiency of the sorting process in agriculture.

Performance Comparison of K-Nearest Neighbor, Decision Tree, and Support Vector Machine Algorithms for Diabetes Classification Aria, Aria Octavian Hamza; Mulyana, Devi; Rifa’i, Akhmad Ridlo; Ikhsan, Muhammad
CoreID Journal Vol. 3 No. 3 (2025): November 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i3.139

This paper investigates the performance of three supervised machine learning algorithms K-Nearest Neighbor (KNN), Decision Tree (DT), and Support Vector Machine (SVM) for diabetes classification using the Pima Indians Diabetes Dataset. The study aims to provide a fair and consistent comparison by applying unified preprocessing procedures, including median imputation for clinically invalid values, feature standardization, and stratified 5-fold cross-validation. Model performance is evaluated using accuracy, precision, recall, and F1-score, with particular emphasis on recall for the diabetic class due to its clinical significance in reducing false negative diagnoses. Experimental results show that the Decision Tree model achieves the most balanced performance, with an average accuracy of 0.78 and an F1-score of 0.75, while maintaining higher recall for diabetic cases compared to KNN and SVM. Although SVM and KNN demonstrate acceptable overall accuracy, both models exhibit limitations in identifying minority-class instances. These findings highlight the importance of algorithm selection based not only on accuracy but also on clinical priorities such as interpretability and sensitivity to positive cases. The study contributes practical insights for the development of reliable machine learning–based decision support systems for early diabetes screening.

Building Technology-Based Islamic Education Learning: A Review of Learning Principles, Behaviorism, and Cognitivism Ikhsan, Muhammad
Jurnal Hadratul Madaniyah Vol. 13 No. 1 (2026): Jurnal Hadratul Madaniyah
Publisher : Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jhm.v13i1.11490

Abstracts Technological developments in education have not been fully integrated optimally in Islamic Religious Education (PAI) learning, resulting in a gap between the needs of 21st-century learning and learning practices that are still predominantly teacher-centered. This condition encourages the need for an in-depth study of how learning principles and theories of behaviorism and cognitivism can be used as a basis for designing effective technology-based PAI learning. This study aims to analyze the integration of these learning theories as a basis for developing a more comprehensive technology-based PAI learning model. The study uses a library research approach by reviewing journals, books, and relevant research results, which are analyzed through content analysis techniques to identify conceptual patterns, similarities, and theoretical contributions. The results show that learning principles such as subsumption, progressive differentiation, and integrative reconciliation can strengthen the structure of digital PAI materials; behaviorism theory plays a role in designing technological features that are reinforcement and form religious habits; while cognitivism theory supports the development of digital media that facilitate information processing and meaningful learning. The conclusion of the study confirms that the integration of these three theoretical foundations can produce a technology-based PAI learning model that is more interactive, adaptive, and pedagogical. This study contributes to the development of a technology-based PAI conceptual framework and recommends empirical testing of the model's effectiveness through further research.

Analisis dan Implementasi Singular Value Decomposition (SVD) untuk Sistem Rekomendasi Anime Berbasis Collaborative Filtering Ginting, Muhammad Daffa; Muhammad Ikhsan
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9462

The rapid growth of digital platforms has significantly increased the number of available anime titles, making it difficult for users to choose content that matches their preferences. In addition, the diversity of genres and content characteristics accessible to different age groups highlights the need for a system that can provide recommendations more accurately and efficiently. This study aims to develop an anime recommendation system based on collaborative filtering by applying the truncated Singular Value Decomposition (SVD) method to address the data sparsity problem in the user–item matrix. The dataset was collected from the AniList platform and consists of 30 users, 100 anime titles, and 1,230 explicit rating records. The evaluation was conducted using a hold-out scheme with an 80% training set (992 ratings) and a 20% testing set (248 ratings). Prediction performance was measured using an RMSE of 1.6464 and an MAE of 1.2370, while the quality of Top-N recommendations was assessed using Precision@10. The experimental results indicate that the best configuration was achieved at k = 4, which produced the lowest prediction error on the test set and generated relevant recommendations. The average Precision@10 obtained was 0.1897, meaning that approximately 18.97% of the Top-10 recommendations provided by the system were considered relevant.

Perbandingan CNN Dan ResNet50 Dalam Klasifikasi Tuberkulosis Pada Citra X-Ray Paru Aulia, Muhammad Fathir; Ikhsan, Muhammad
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9554

Tuberculosis (TB) remains a global health problem and requires rapid and consistent early screening. Chest X-rays are widely used because they are practical and economical, but manual interpretation is highly dependent on experts, which can lead to subjectivity, fatigue, and delayed diagnosis. This study aims to compare the performance of a basic Convolutional Neural Network (CNN) and a transfer learning-based ResNet50 in classifying lung X-ray images into two classes, namely TB and Normal, as well as to assess the trade-off between accuracy and computational efficiency. The dataset used is a balanced subset of 1,000 images (500 TB and 500 Normal) divided into 70% training data, 15% validation, and 15% testing with a fixed seed to ensure reproducible experiments. Preprocessing was performed by resizing the images to 224×224 pixels and normalizing the pixel values. ResNet50 used a preprocessing scheme in accordance with the pretrained model. Evaluation was performed using a confusion matrix and accuracy, precision, recall, and F1-score metrics. The test results show that CNN achieved an accuracy of 98.00% with three classification errors, while ResNet50 achieved an accuracy of 99.33% with one classification error and average precision, recall, and F1-score metrics above 0.99. In terms of efficiency, the CNN training time was approximately 40.46 seconds, while ResNet50 took a total of approximately 226.99 seconds. In the robustness test, the CNN inference time was approximately ±100 ms/image and ResNet50 was approximately ±1,900 ms/image. These findings indicate that ResNet50 excels in accuracy and generalization stability, while CNN is more efficient for fast response and limited resource requirements.

Menjadi Guru Kreatif melalui Aplikasi Canva Syam Tonra, Wilda; Angkotasan, Nurma; Prawitha Sari, Diah; Ikhsan, Muhammad
Jurnal Pemberdayaan Masyarakat Vol 8 No 1 (2023): Mei
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v8i1.7152

The results of observations and interviews with teachers and principals at SD Islamiyah 6 Ternate City in early 2022 found several problems in the learning process (a) Teachers have not been creative in implementing learning, especially the use of technology (b) Teacher competence in utilizing media in learning is still needs to be improved (c) there is no good integration of each subject with blended-based learning media during the covid-19 pandemic. Therefore, there is a great need for training on the use of Canva for teachers. The purpose of implementing this community service (PKM) is to provide insight and creativity to teachers through Canva so that they can improve the abilities and competencies in providing interesting media in classroom learning. The participants are the 10 teachers at SD Islamiyah 6 City of Ternate. The training method are presentation and discussion. Then demonstration and practical training. The result obtained in this activity is an increase in teacher competence through Canva. This can be seen from the results of the teacher's own design on teachersâ€™ device/handphone respectively. After the training, the teachers gave an assessment of the respondent's questionnaire in the implementation of this PKM activity with a very good category.

ATRIBUT DIMENSI KEBERLANJUTAN PERKEBUNAN KARET RAKYAT DI PROVINSI RIAU Muhammad Ikhsan, Ikhsan; Ikhsan, Muhammad; Kilat Adhi, Andriyono; Harianto, Harianto
Jurnal Agribisnis Indonesia Vol. 12 No. 2 (2024): Desember 2024 (Jurnal Agribisnis Indonesia)
Publisher : Departmen of Agribusiness, Economics and Management Faculty, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jai.2024.12.2.259-273

Tren penurunan produksi karet yang terus terjadi di Provinsi Riau merupakan tantangan serius yang memengaruhi keberlanjutan perkebunan karet kedepan. Tujuan riset ini adalah mengembangkan indeks dan Tujuan studi ini yakni meningkatkan indeks serta mengenali faktor - faktor yang mempengaruhi keberlanjutan perkebunan karet rakyat di Provinsi Riau dari perspektif ekonomi, ekologi, dan sosial menggunakan pendekatan RAP-Rubber dengan teknik Multi Dimensional Scaling (MDS). Informasi yang dianalisis diperoleh dari dua sumber utama , yaitu informasi primer serta sekunder. Informasi primer dikumpulkan lewat interaksi langsung dengan petani karet serta pihak terikat di zona perkebunan karet. Sedangkan itu, informasi sekunder didapatkan dari institusi serupa Badan Pusat Statistik, Dinas Perkebunan, Dinas Pertanian, dan literatur yang berkaitan dengan topik riset ini. Nilai indeks keberlanjutan perkebunan karet rakyat di Provinsi Riau secara multi dimensi adalah 38,40 masuk dalam kategori kurang berkelanjutan. Rentang nilai indeks keberlanjutan pada setiap dimensi bervariasi antara 26,67–51,29. Nilai keberlanjutan terendah terdapat pada dimensi ekonomi, diikuti oleh dimensi sosial, sementara dimensi ekologi memiliki nilai keberlanjutan tertinggi. Faktor-faktor yang berpotensi mempengaruhi keberlanjutan perkebunan karet rakyat di Provinsi Riau adalah fluktuasi harga, harga ojol dan penggunaan pestisida (dimensi ekonomi); teknik pembukaan lahan, pengetahuan tanaman Legum Cover Crop, dan jumlah hari sadap (dimensi lingkungan); hubungan sosial petani tengkulak, tingkat pendidikan dan ketersediaan penyuluhan (dimensi sosial). Implikasi manajerial dari riset ini adalah sebagai dasar untuk evaluasi dan pemantauan berkelanjutan terhadap perkebunan karet, dengan mengidentifikasi indikator kunci dan mengukur keberlanjutan secara teratur.

Abu Ishaq Al-Syathibi and His Perspective on Maslahat Ikhsan, Muhammad; Iskandar, Azwar
JURNAL AT-TURAS Vol 8, No 1 (2021): Penafsiran dan Sosiologi Hukum Islam
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/at-turas.v8i1.1997

This study aims to find out: (i) the position of Abu Ishaq al-Syathibi as a fiqh scholar al-maqāṣid; and (ii) the concept of maslahat in the perspective of Abu Isha al-Syathibi. This research is qualitative descriptive research with library research techniques through historical and sociological approach. The results found that al-Syathibi's ability as a reformer in the realm of uṣūl al-fiqh was very clear in his role in performing new formulations of the theory of al-maqāṣid and managed to open the views of the scholars afterwards to further examine this issue. Al-Shatibi's view of maslahat cannot be separated from his view of al-maqāṣid, especially when he divides the al-maqāṣid into two major parts: those relating to maqāṣid al-syarī'ah and those relating to maqāṣid al-mukallafīn.

Penerapan Text Mining Pada Sistem Rekomendasi Pembimbing Skripsi Mahasiswa Menggunakan Algoritma Naive Bayes Classifier di Program Studi Ilmu Komputer UIN Sumatera Utara Medan Kurniawan. R, Rakhmat; Ikhsan, Muhammad
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3500

Penunjukan dosen pembimbing skripsi oleh program studi akan disesuaikan dengan rumpun keilmuan dosen dengan topik dari judul proposal skripsi mahasiswa. Selain rumpun keilmuan, program studi juga harus berusaha mendistribusikan dosen pembimbing secara proporsional, sehingga potensi terjadinya kelebihan beban kerja pada dosen pembimbing dapat dihindari. Hal ini berlaku untuk dosen pembimbing I dan dosen pembimbing II. Selanjutnya dirasa perlu melakukan penelitian untuk mengatasi masalah tersebut. Dengan harapan memudahkan pengelola program studi dalam menentukan Pembimbing Skripsi yang sesuai antara topik dengan keilmuan dosen. Selanjutnya mempercepat proses penentuan judul skripsi mahasiswa dan tentunya juga akan mempercepat proses penyelesaian studi mahasiswa strata 1. Maka dirancanglah sebuah sistem yang mampu merekomendasi dosen pembimbing yang sesuai dengan topik skripsi yang diajukan melalui teknologi text mining menggunakan algoritma NBC. Algoritma NBC mampu untuk mendeteksi topik yang ada pada suatu koleksi dokumen beserta besarnya kemunculan topik tersebut.

Co-Authors - Firmansyah -, Riska Amalia Praptiwi -, Tamrinsyah A'izza, Syakira Syafia Abda Abda Abdillah, Luqmanul H.A Abdul Halim Hasugian Abdul Hamid Abdullah, In .Hi Abdurrahman, Maulana Abrianto, H. Heru Acep Purnama, Acep Adianto, Samsul Adinda Asmaratul Husni Adityo Putro Prakoso Adjam, Syarifuddin Adji, Fadli Purnama Adriamal, Indra Putra Afifah Salsabila Yasli Afriantoni Afriantoni Afrilyana, Maya Afrinaldo, Alvin Agassi Antoniman, Mohammad Agung Pangestu Agus Abhi Purwoko Agus Santoso Budi, Agus Santoso Agusta, Fauji Agustina Putri Pitarisa Ahmad al-Badawi, Abdullah Ahmad Dzaki Muttaqin Ahmad Syaripudin Ahmad Yusran Aminy Ahmad, Suprian Ahmadin Ahmat Kori Ahwan Ahwan, Ahwan Ahzan, Sukainil Aidil Halim Lubis Ainal Mardhiah Aisya Andesti Aisyah Aisyah Aisyah S, Marwah Akbar, Andi Muh Akbar, Muhammad Zidan Akbar, Rahmad Ade Akbar, Zulfikri Akhmad Riadi Al Baihaqi, Muhammad Wahyu Al Ghifari Muslim, Ahmad Al Hafizi, Muhammad Zaidanne A An Al Jalali Muhammad Alda, Kristian Alfian Malik Algristian, Hafid Algristian, Hafid Ali muhajir, Ali Alimuddin All Iqbar Arifin Allifa, Dini Almira, Lara Delanosa Alsa Shafira Alvito, Paris Alwi, Daudi alwin, T.Alfi Muazim Amalia Praptiwi, Riska Amalia, Ayunda Tri Amelia Mawaddah Amelia, Risky Nuri Amenda, Arvitori Aminullah Aminullah, Aminullah Amrullah, Jemerio Rifqi Analka, Abelhadji Andhika Rachman Andi Aslindah, Andi Andi Ralle Andre Rafli Andriyono Kilat Adhi Anggara, Ari Anggraini, Diah Ayu Ani Rakhmanita Anies Anies Anisa Arum Sabrina Anshari, Badrun Al Antaiwan Bowo Pranogyo Antika, Rindilla Anto Kustanto Anugrah, Fezyana Delsa Apriansyah Asgap Aprileny, Imelda Aprillia, Nursagita Aqnes Budiarti Ardah, Lukman Ardhin Primadewi Ardianti, Nuraini Rachma Ardianti, Nurul Rachma Ari Sandhyavitri Ari Sulistyowati Aria, Aria Octavian Hamza Ariaji, Tristanto Arief Fahruri Aris Doyan Arya Ramandanu Roy Carol Rais Aryanti, Destryana Asniah Syamsuddin Asnita Ode Samili, Asnita Ode Assidiqi, Dimas Ahsan Aswan, Marwis Asy’ari, Muhammad Attahira Kholifah Aulia, Muhammad Fathir Aviv Musthopa A Ayu Shabrina Ayunda, Rahmi Ayuningtyas, Nurista Dida Azhar, Romaito Aziz, Khalid Abd Azmi, Irham Azmi, Muhammad Ilham azwanda, Azwanda Azwar Azwar Azwar, Azwar Azyel, Evelyn Etenia Badali, Muhammad Amin Badiwibowo Atim, Sandi Bahtiar Bahtiar Bambang Tripoli Banjar-Nahor, Kevin Marojahan Bawono, Lidya Cahyo Bayu Prakoso, Adityan Bima Kurniawan Br. Keliat, Mia Risa Brainvendra Widi Dionova Brantasari, Mahkamah Budi Cahyono Budi Santosa Budi Santosa Budi Setiyana Buhera*, Rusdiman Buhera, Rusdiman Calista Chairul Huda Chandra Lesmana Christi Kasiuhe, Jeane Christoporus Indra Wahyu Cut Khairunnisa Cut Ridha Sonia Daherman, Yudi Dahlan Wahyudi Dani, Rian Danial Darmansyah, Dandi Darmuji, Darmuji Daryus, Asy'ari Dea Anjelia Nisa Br.Ginting Dedy Suryadi Delfian Masrura Delsina Faiza Desi Rahmawati Desitarani Deska Nindia Putri Desti Kurnia Utami Dharmawan Dharmawan Diah Uli Tua DIAN RAHMAT SYAFRIAN Didik Sugiyanto Dielfo, Zergy Dini, Juan Djoni Maison Dwi Safiroh Utsalina Dwi Wulandari Edi Kurniawan Ediansa, Oka Efrizal Efrizal Efrizal Egy Atthahirah Septina Eko Purwanto elliyana, ela ELMAN BOY Elvira Elvira Emilia, Nur Engkur Engkur Engkur Enok Maryani Ermaini Ermaini Esser, Balkis Ratu N L Eva Iryani Fachrizan Aditya Fachruddin Fachruddin Fachrul, Muhammad Fachry Firdaus Fadhlurrahman, Fadhlurrahman Fahru Zidan Al Mustafa Fahruli, Sehilana Faizah, Safira Falah Rafif Farid Faridh, Mifta Ghulam Fathiah Fathiah Fatimatul Aulia Fatoni Achmad Faujan, Faujan Fauzan Maulana Lubis Fauzi, Dede Fauzi, Manyuk Fauziah, Gradina Nur Fauzy Bin Willy , Mohd Fazzil Alfis Ramadhan Febrian, Rizky Febrina Rahmayanti Felizka Salsabila Ferdianur, Ferdianur Ferika Indrasari Ferika Indrasari Ferry Fatnanta Fery Purnama, Fery Fikri Ahmad Trasuni Fildzah Nurul Fajrin, Fildzah Nurul Firdaus Ramadhan Firmansyah, Denis Riski Nur Fitra Abadi Fitriani Tricahyani Fitriani, Irma Fitry Hasdanita Fresiva, Urva Gabriel Bato Malewa Pirade Gilang Mukti Raharja Ginting, Muhammad Daffa Gomgom TP Siregar Gress Bancin Grisdienta Carriffino Gultom, Arlewes Gummah, Sifaul Gummah, Syifaul Gunawan Wibisono Gunawan Wibisono Gusri Yaldi Gussyafri Habibi, M. Hastiavin Hadit, Muh. Nur Hafizi, Muhammad Zaidane A An Al Hakim, Syamsul Halimatus Sakdyah Haliza, Dinda Hamidi Hamidi Handoko Sakti, Sri Haqiqi, Muhamad Harahap, Ade Martua Harahap, Aihani Rahmayani Harahap, Lailan Sofinah Harahap, Mhd Anshor Hari Anna Lastya Harianto Harianto Haris Haris, Haris Haris Munandar Hariyanto, Nanang Harjo, William Lutfir Rahman Harun Al Rasyid Harwijayanti , Widyanita Haryono, Wasis Hasan Basri Hasan, Saeful Hasbi, Husnaini Hasim, Rustam Hasiu, Teti Susliyanti Hayatun Nufuz Heikal, Jerry Helmanda, Cut Mawar Helmina Helmina Helmina Helmina, Helmina Helty Asafri Hendri Marhadi Hendro, Junaedi Hendro, Junaidi Heri Santoso Herlina Herlina Herman Susilo Hermansyah Hermansyah Hermayanty, Irma Hernita Pasongli Heroweti, Junvidya Hetty Rohayani Hidayat, Muhammad Nabil Wahyu Hidayati, Rospin Hierdawati, Trie Hilman Syarif Hudi Yusuf Humaira MS, A. Musfira Dwi Hunaepi, Hunaepi Husnaini Husnaini Hutabarat, Risnawati Agustin Hutasuhut, Dina Hidayati Ibrahim Arifin Ibrahim Ibrahim Idriani, Reski ika Zufria Ikram Muddin Ilham Akbar Ilham Akbar Ilham, M. Rauzan Ilhami, Ahmad Mika Ilhamy, Dimas Wahyu Imam Ghozali Imelda Aprileny Imran, Mohammad Inayati, Dian Indra Permana Indra Permana, Indra Indriasti Indah Wardhany Insih Wilujeng Ira Handriani Irham Dongoran Irma Irma Delianti, Vera Irma Soraya Irvawansyah, Irvawansyah Irwan Ishak, Abdullah Iskandar Romey Sitompul Isnaini Asiati, Diah Istiana Ruswita Iwan Setiawan Izzati Nafisah Jamaluddin Jamaluddin Jamaluddin, Bunga Mawar Jannah, Siti Miftahul Januardi , Hengki Jayanti Apri E Jiddan, Jayyid Jiranusornkul, Supat Joleha, Joleha Jufri Sani Akbar Jumadi Jumadi Junaidi Junaidi Junaidi, Ahmad ? Junita Indarti Jupri Jutti Levita Kalda, Saifana Karenza Dongoran Karim, Hasan Abdul Karindra, Aditya Akbar Rizky Kasih Kasiuhe, Jeane Christi Kautsar, Afthar Kesuma, Dadang Warta Candra Wira Khaeruddin Khaeruddin Khaidir Khaidir, Khaidir Khaidir, Muhammad Khairil Yusuf Khairina Ulfa Syaimi Khairinisa, Miski Aghnia Khairul Saleh KHOIRUL ANWAR Khoirunnisa, Dhini Aprilia Khomarudin, Agus Nur Kido, Muh Ikram Kifni Yudianto Kudadiri, Islah Sahbana Kurnia Istiqomah Kurnia, Nova Kurniady , Dedi Kurniawaty Fitri Kurniawaty Kurniawaty La Ode Muhammad Fahmi Laia, Arowamati Laifa Rahmawati, Laifa Lena Marianti Lestari, Febby Nabila Lestari, Ina Lili Somantri Lilik Kurniawan Linus . Pasasa Lissa Opirina Lubis, Shakila Fuadah Lusiana Wulandari M Fatchur Rochman M ROMLI, M M. Romli M. Romli M. Syamsudin, M. M. Yogi Riyantama Isjoni Magdalena, Maria Mahardika, Muhammad Farel Mahdi Mahfudz, Yusuf Nur Mahmud Alpusari Maisyarah Manullang, Nursarinah Maqsurah, Ainil Mardhatillah, Syifa Mardiana, Puja Dikusuma MARIA ULFAH Marlia, Yohana Dwini Marthiawati, Noneng Maryam Maryam Maryam Maudara, M Maulana Cahyani, Dani Syaban Maulana Sasty Maulidi, M Aldi Mayliawan, Muhammad Kadek Fajri Maysandra, Adisty MEGANTARA, SANDRA Mesanda, Zery Mesya Assauma Nurfitrah Meutia Zahara Meylis Safriani Mhd Ikhsan Rifki Mirawati, Baiq Misran Misran Monita Olivia Muazim, T. Alfi Muchtar, Azmy Ali Mudjirahardjo, Panca Muh Al Amin, Muh Muh Nurwahyu Muhadi Muhadi muhamad Iqbal Maulana Muhammad Adib Alfikri Muhammad Afif Muhammad Alfiansyah Muhammad Eka Purbaya Muhammad Fadhli Muhammad Hasan Muhammad Ikhsan, Ikhsan Muhammad Ilham Muhammad Ilham Fikri Muhammad Isa Amsory Muhammad Mansur Muhammad Miftahuddin Simanjuntak Muhammad Natser Abdoellah Muhammad Ridho Muhammad Rifki Ilahi Muhammad Ryan Saputra Muhammad Salman Muhammad Shohibul Wafa Muhammad Siddik Hasibuan muhammad Syahbudi, muhammad MUHAMMAD TAUFIK Muhammad Taufiq Muhammad Yusuf Fauzi Muhammad Zaibi, Muhammad Muhartini Salim Muhsan Muhtadi, Muhammad Amhar Mujahid Al-Islam Mukhairi Rizal, Muhammad Mukmin Mukmin Mukran H. Usman Muliyadi, Lalu Mulyana, Devi Mulyani Sunarharum , Tri Musaddam Musirotul Alfiah Musrifin, Arif Yanuar Mustafa, Syahrul Mutiarani Mutiarani Nabah Lestari, Winda Nafisah, Luluk Nahak, Martinus Najibah, Muna Ulya Nanang Endriatno Nanci Yosepin Simbolon Nasrullah, Amin Nasution, Riski Abdul Hakim Nasya Travika Natadiwijaya, Ismail Fikri Natser, Muhammad Naufal Afif, Muhammad Nayla Desviona Nazariah, Nazariah Nazaruddin Nazaruddin Nazlia Nisfa Ramadhani Neilcy Tjahja Mooniarsih Nelly Agustina Siregar Netty Netty Nila K. Hidayat, Nila K. Nildatul Husna Nina Herlina Ninuk Dewi Kesumaningrum Niya Armita Sari Nizam Zulfa Nopryandi Novan, Andre Novlianun Dly Novri Adhiatma, Novri Nur Agus Salim, Nur Agus Nur Amanah Nur Asyah, Nur Nur Audina, Nur Nur Hidayah Nurainas Nurainas Nuraini, Nica Nurdin Nurdin Nurdini Nurfaika Ishak Nurhayati , Endi Nurhidayanti Nurma Angkotasan, Nurma Nursanjaya Nursanjaya, Nursanjaya Nursita Nurul Abdillah Nurul Fadhilah Nurwijayanti Octavianto, Rio Duzan Oktavia Rahmadani Oktavia, Beby Olivia, Arisa Ony Hizri Kaifa Purba Osberth Sinaga Oye, Selvi Pahlawan, Muhammad Zidan Pahlevi. B, M. Riza Pamungkas, Oky Pangeran, David Parawangsa, Akbar Naro Pardi Pardi, Pardi Perdana, Muhammad Agung Pigo Nauli Pineda, Chester Ian S. Pragustiandi, Guntur Pramesta, Linda Ramadhanty Pranata, Ranggi Praptiwi, Riska Amalia Pratiwi, Monika Audiya Prawitha Sari, Diah Prayogi, Saiful Prihantini, Malinda Pujayeti Putri Purwoko, Agus Abi Puspita, Hilda Puspita, Ita Puspita, Shabrina Bella Putra, Puji Eka Putra, Teuku Nanda Putri Ramayanti Putri, Aisak Hana Putri, Ammalia Shelky Nakwa Jamalika Putri, Naraya Nursadrina Putri, Renesya Febbiyana Qurrahman, Muh. Taufiq Rahmaddiansyah Rahmaddiansyah Raissa Amanda Putri Rakhmat Kurniawan R Rakuasa, Heinrich Ramadani, Oktiva Ramadhani Fajri, Bayu Ramadhani, Audia Putri Ramadhani, Elsa Dwi Aryana Ramadhani, Sandy Laila Suci Ramdani Salam Rasyid, Rusman Ratna Wulandari Refiyanni, Meidia Reni Reni, Reni Reza Aditia, Muhammad REZKI, REZKI Rhamadon, Sahrur Rheza, Faykar Riadi, Akhmad Rian Dani Rianda Elvinawanty Rianis, Sindi Fadillah Rico Ridho, Mahmud Ar Rasyid Ridwan Ridwan, Ridwan Rieza, M. Safiq Rifa’i, Akhmad Ridlo Rifki Ramzan Adi Putra Rifky Ismail Rifmayanti, Cici Rina Novita Rina Suthia Hayu Rinaldy Rinaldy Rinanda Putri Rambe Rindawan, Salabi, dan Baiq Susdiana Fibrianti Rindi Maudhy May Bella Surbakti Riska Amalia Praptiwi Riskawati Riskawati, Riskawati Riyantama, Muhammad Yogi Riza Arif Pratama Rizal Munadi Rizky Adrian Rizqy Ridho Prakasa Rochman, M Fatchur Rofika, Rita Rohima Wahyu Ningrum, Rohima Wahyu Roma Kyo Kae Saniro Romadhoni Romadhoni, Romadhoni Romy Aulia Rumambi, Ridho Rusdiyanur, Rusdiyanur RUTH RIZE PAAS MEGAHATI, RUTH RIZE PAAS S. Samsugi S. Samsugi Sabahannur, St Sabar Nurohman Sabda Wahab Sabrina Sabrina Sadrina Safitri, Yunita Diyah Safrullah Sahid Bayu Setiajit Said Said, Said Sakdyah, Halimatus Sakti, Sri Handoko Sally Aman Nasution Salsabila, Raja Putri Salsabilah, Hanum Samsuri Samsuri Sandi Badiwibowo Atim Santi, Indyah Hartami Sanusi Saputra, Deky Candra Saputra, Heri Saputra, Okta Saragih, Ahmad Fadhly Sani Sari, Dinda Mayang Sari, Imrah Sarip, Muhamad Sarno . Sasmita, Anggit Satria, Andrea Octorayama Satrianis, Satrianis Sawal, Rizky Ardian Hartanto Sembiring, Dido Fatika Septianto, Naufal Septina, Egy Atthahirah Setiajit, Bayu Setiajit, Sahid Bayu Setianingrum, Rossa Yuliani Shafira , Alsa Shafira, Alsa Shaqi, Alifhasta Risfi Sholehah, I Ana Sibua, Sulami Siddiq, Siddiq Siddiq, Tri Allan Sinaga, Adhe Syari Alfatah Siregar, Rais Sardi Siregar, Rizki Abdul Hakim Siregar, Romadon Goring Siswahyudianto Siswandi B Siti Aisyah Sitorus, Gina Yunit J Sitorus, Gina Yunita J. Sitorus, Patar Ariyanto Situmorang, Rantouli Sobari Sobari Sohiron Solihin, Affan Sompi, Isya Mayuni SRI ATUN Sri Hartini Sri Ngudi Wahyuni, Sri Ngudi Sri Suwarni Sri Suwarni Sri Wahyuni Suarni Syam Saguni Subekti Subekti Subiyantoro Suciatina Silvia, Cut Sudarsono Sufriadi Suhardi Suhardi Suhelmidawati, Etri Suherlan, Herdiansyah Sukrisman, Sukrisman Sumampouw, Ruland Willy Jack Sumulyo, Ganot Sunding, Alang supriadin supriadin Supriati, Diana Suriani, Dewi Susilawati Susilawati, Susilawati Susilowati, Ervan Suthansa Gading Prasetyo Syafrizal Syafrizal Syah Zikri, Farid Syahputra, Andrian Syahrani Syahril Syafiq Corebima Syaiful Amri Saragih Syairozi, Ishak Syam Tonra, Wilda Syamsuardi Syamsuardi Syarful Annam Syarifah Rauzatul Jannah Syarifah, Rini Syechkant, Ibnu Syukra, Salsabilla Ar Razzaq Syukri Syukri Tamrin Robo Tamrin Syah, Tamrin Tamrinsyah Tarsono Tarsono Tasya Putri Daviza Taufik Taufik Hidayat Taufik Taufik Teguh Ardianto, Teguh Tino Leonardi Tohau, Ahmad Tonra, Wilda Syam Triani, Triani Trisna Ardi Wiradinata Tubagus Mohammad Akhriza Tungga', Ummul Budiwati Ulia Ridhani, Ulia Ulvi, Hazrul Anshari Umam, Muhammad Ihdal Unayah, Habibatul Urva Fresiva Utomo Putra, Tegar Utsman, Soraya Valera, Rezqy Vidiannisa Veni Violanita, Utari Vitasatria, Arresta Wafa, Nurul Wahyuli, Wilma Sil Wakano, Fahruddin Waru Djuriatno Wesley Franklin Situmorang Wibowo, Danang Novianto Wicaksono, Dhimas Widayat, Jonathan Setya Widayat Setya Widya Prarikeslan Wilyanti, Sinka Winaryani Winda Syam Tonra Windi Windi, Windi Wiranto Silalahi Wiranto Wajiha Wudda Wirda Hayati Wulandari, Rosanna Yaakub, Saleh Yadi Oktariansyah Yahya Hairun Yanti, Darma Yenie, Elvy Yoanda Malika Putri Lubis Yufajri, Fahmiza Yulias Ninik Windriati Yuni Andriyani Safitri Yunus, Imran Muhammad Yurni Suasti Yusra, Andi Yuwaldi Away Zabidi, Imron Zahira Putri Effia Yumna Zahra, Temmy Rizkya Zainal Abidin , Munir Zakiah Zakiah Zein, Ahmad Wahyudi Zilzian Ibadillah Zufrizal Zul Fanji Zulfira Mirani Zulhamid Ridho

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