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All Journal Jurnal Teknologi Industri Pertanian JUTI: Jurnal Ilmiah Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) JOIN (Jurnal Online Informatika) Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat JOIV : International Journal on Informatics Visualization Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Ekonomi, Manajemen Akuntansi dan Perpajakan (Jemap) J I M P - Jurnal Informatika Merdeka Pasuruan Applied Information System and Management Jurnal Teknoinfo JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi Energi & Kelistrikan Indonesian Journal of Applied Informatics Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Literasiologi CSRID (Computer Science Research and Its Development Journal) Industri Inovatif : Jurnal Teknik Industri Jurnal Ilmu Komputer dan Bisnis Aisyah Journal of Informatics and Electrical Engineering Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) TIN: TERAPAN INFORMATIKA NUSANTARA JURNAL AKTUAL AKUNTANSI KEUANGAN BISNIS TERAPAN (AKUNBISNIS) Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Sistem Informasi Journal of Industrial and Engineering System Jurnal Sains Indonesia Bulletin of Computer Science Research Journal of Students‘ Research in Computer Science (JSRCS) Journal Software, Hardware and Information Technology Jurnal Media Informatika JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Mandiri IT J-Intech (Journal of Information and Technology) Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Sains dan Teknologi Jurnal Sains Informatika Terapan (JSIT) Paradigma Indonesian Journal Computer Science (ijcs) Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Jurnal Komputer dan Teknologi (JUKOMTEK) CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Jurnal Ilmiah Sistem Informasi Bulletin of Artificial Intelligence Riau Jurnal Teknik Informatika International Journal of Education, Vocational and Social Science Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Journal of Information Technology Jurnal Teknoinfo Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Jurnal Teknik Informatika dan Teknologi Informasi
Sumanto Sumanto
Universitas Bina Sarana Informatika, Indonesia
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PENGARUH PENGGUNAAN MEDIA SOSIAL BAGI PENGEMBANGAN USAHA MIKRO KECIL DAN MENENGAH (UMKM) Mardinawati Mardinawati; Budhi Adhiani; Sumanto Sumanto; Teguh Budi Santosa; Maharani Rona Makom
Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS) Vol 6, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/akunbisnis.v6i1.4578

Abstract

The research was conducted on Micro, Small and Medium Enterprises (MSMEs) in the Magelang and Temanggung areas. The problem in this study is whether social media and its benefits affect the development of Micro, Small and Medium Enterprises (MSMEs). How does the use of social media affect the marketing of Micro, Small and Medium Enterprises (MSMEs). The purpose of this study is to determine the effect of using social media on the development of Micro, Small and Medium Enterprises (MSMEs). to determine the effect of using social media on the marketing of Micro, Small and Medium Enterprises (MSMEs). The method in this research is this research is a descriptive observational research on Micro, Small and Medium Enterprises (MSMEs) in Magelang City and Temanggung City. This study uses in-depth interviews and observations of SMEs. Methods of descriptive statistical analysis and qualitative analysis. Results are displayed in tables and graphs. The results show that MSMEs have used social media in developing their business, especially in product introduction and marketing. The most widely used social media are Facebook, Instagram and WhatsApp
Texture Analysis of Citrus Leaf Images Using BEMD for Huanglongbing Disease Diagnosis Sumanto; Agus Buono; Karlisa Priandana; Bib Paruhum Silalahi; Elisabeth Sri Hendrastuti
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.1075

Abstract

Plant diseases significantly threaten agricultural productivity, necessitating accurate identification and classification of plant lesions for improved crop quality. Citrus plants, belonging to the Rutaceae family, are highly susceptible to diseases such as citrus canker, black spot, and the devastating Huanglongbing (HLB) disease. Traditional approaches for disease detection rely on expert knowledge and time-consuming laboratory tests, which hinder rapid and effective disease management. Therefore, this study explores an alternative method that combines the Bidimensional Empirical Mode Decomposition (BEMD) algorithm for texture feature extraction and Support Vector Machine (SVM) classification to improve HLB diagnosis. The BEMD algorithm decomposes citrus leaf images into Intrinsic Mode Functions (IMFs) and a residue component. Classification experiments were conducted using SVM on the IMFs and residue features. The results of the classification experiments demonstrate the effectiveness of the proposed method. The achieved classification accuracies, ranging from 61% to 77% for different numbers of classes, the results show that the residue component achieved the highest classification accuracy, outperforming the IMF features. The combination of the BEMD algorithm and SVM classification presents a promising approach for accurate HLB diagnosis, surpassing the performance of previous studies that utilized GLCM-SVM techniques. This research contributes to developing efficient and reliable methods for early detection and classification of HLB-infected plants, essential for effective disease management and maintaining agricultural productivity.
COMBINATION OF LOGARITHMIC PERCENTAGE CHANGE AND GREY RELATIONAL ANALYSIS FOR BEST ADMINISTRATION STAFF SELECTION Sumanto Sumanto; Mochamad Wahyudi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.5564

Abstract

The best administrative staff are individuals who are able to maintain the smooth operation of the organization with high efficiency and precision. One of the main problems is subjectivity in assessment that can cause dissatisfaction among employees. Sometimes, assessments are based more on personal relationships than objective performance, thus creating a sense of unfairness. The purpose of this study, using a combination of LOPCOW and GRA in determining the best administrative staff to develop a holistic and data-driven evaluation approach for the optimal administrative staff selection process. This process involves a comprehensive assessment based on various criteria, including work efficiency, accuracy, multitasking ability, and excellence in communication and problem solving. LOPCOW provides a strong objective basis by considering significant changes in performance data through logarithmic percentage changes, while GRA helps in identifying and understanding the relationship of similarities and differences between alternatives based on given criteria. By integrating these two methods, organizations can combine the advantages of LOPCOW's objectivity with the power of GRA's relational comparison analysis, resulting in a more comprehensive and accurate performance evaluation. The results of the ranking of the selection of the best administrative staff show that the first best administrative staff was obtained by Staff Name AH with a GRG value of 0.1666, the second best administrative staff was obtained by Staff Name RW with a GRG value of 0.1569, the third best administrative staff was obtained by Staff Name ES with a GRG value of 0.1266.
Sistem Pendukung Keputusan Kelayakan Kredit Pada PT.BPR DP TASPEN Dengan Metode TOPSIS Indriani , Karlena; Sumanto , Sumanto; Christian , Ade; Ahmad Yani , Ahmad Yani; Ruli , Ahmad Rais; Marita , Lita Sari
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/q6t2ed19

Abstract

This study focuses on analyzing the feasibility of pension loan applicants for state civil servants at PT. BPR DP TASPEN, with a focus on the use of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an alternative analysis method. Previously, PT. BPR DP TASPEN uses a subjective evaluation method to assess the feasibility of loan applicants, which leads to potential risks and errors in the analysis. In this study, the authors recommend the use of TOPSIS as a support decision-making system to standardize the analytical process. TOPSIS was chosen for its efficiency in reducing the calculation time and ease of implementation. This method uses criteria and alternatives to calculate, produces the best alternative based on a weighted bobot, and provides the final decision. The results of the study indicate that TOPSIS provides a good solution for determining the feasibility of pension loan applicants. By considering criteria such as age, pension, debt, bank loan, health history, and income, only seven out of 40 loan applicants met the best criteria, which were close to the ideal positive solution. The selected applicants were recommended for approval as pension loans by the company, reducing the potential risks of credit and improving the accuracy of the selection of loan criteria.
Analisis Perbaikan Cacat Produk pada Proses Produksi Pensil dengan Tahapan DMAIC solihin, solihin; Fahroni, Aldiwa Alfa Thira Nur; Sumanto, Sumanto; Siregar, Denny
Journal of Industrial and Engineering System Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/04gf6115

Abstract

Some companies produce the same product and it will make competition between companies. The company must be able to maintain its existence by increasing the efficiency and quality of its products. The company has established product defect tolerance standards. However, during January-December 2020 there were product defects as many as 6,674 pcs of pencils or 0.233% of defective products. This study was conducted to analyze the causes of defective products using the DMAIC. There were three dominant defects found in the analyze, which were 1834 pcs of dirty lead, 1670 pcs of rough pencil surface, and 1669 pcs of cracked pencil. Lack of procedures when materials arrive, maintenance schedules that are not updated, resulting in clogged hopper lines are one of the causes of product defects. In “improve” stage of DMAIC, regulations are evaluated to check raw materials before the production process starts and carry out regular maintenance activities.
Accurate and Objective Lecturer Appraisal System: Implementation of the LOPCOW Method Sumanto, Sumanto; Radiyah, Ummu; Supriyatna, Adi; Pujiastuti, Lise; Yani, Ahmad; Marita, Lita Sari
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 2 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i2.10188

Abstract

This research proposes the use of the Logarithmic Precursor Chain-Driven Objective Weighting (LOPCOW) method to evaluate the best lecturers in universities.  The LOPCOW method ensures that the assessment covers all aspects of lecturer quality and performance, including education, research, community services, discipline, commitment, cooperation skills, and innovation. The evaluation of lecturers using the scores and ratings provided showed that CDE lecturers were the best, with the highest score of 0.715.  CDE lecturers showed high consistency in all aspects assessed, especially in education, research, and community service.  This was followed by MNO lecturers (0.676), STU lecturers (0.668), XYZ lecturers (0.637), and AFI lecturers (0.627). In conclusion, highly ranked lecturers showed strong dedication to the Tridharma of higher education, with consistent performance and a positive impact on the academic community and the general public.  Future research should focus on developing strategies to improve lecturers' teaching quality by applying new educational technologies and evaluating their impact on student learning. 
Comparison of Supervised Learning Classification Methods on Accreditation Data of Private Higher Education Institutions Noviyanto; Wahyudi, Mochamad; Sumanto, Sumanto
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3306

Abstract

This research aims to analyze and compare supervised learning classification methods using a case study of accreditation data for private higher education institutions within the LLDikti Region III contained in BAN-PT. In addition, this research also uses Weka machine learning software in its calculations. The initial step taken is to prepare the software used for supervised learning analysis, then pre-processing the data, namely labeling data that has a categorical data type, after that determining data for testing data. The next step is to test each classification method. The methods used for comparison are logistic regression, K-nearest neighbor, naive bayes, super vector machine, and random forest. Based on the calculation results, the Kappa Statistic and Root mean squared error values obtained are 1 and 0 for the logistic regression method, 0.979 and 0.0061 for the K-nearest neighbor method, 1 and 0.2222 for the super vector machine method, 0.969 and 0.0341 for the naive bayes method, 1 and 0 for the decision tree method, and 0.5776 and 0.1949 for the random forest method, respectively. The logistic regression and decision tree methods in this study get Kappa Statistic and Root mean squared error values of 1 and 0 respectively so that they are said to be good and acceptable, thus the two classification methods are the most appropriate methods and are considered to have the highest accuracy.
OPTIMIZING ELECTRICITY SUBSIDIES: A TOPSIS-BASED DECISION-MAKING APPROACH Amin, Ruhul; Christian, Ade; Radiyah, Ummu; Sumanto, Sumanto; Hariyanto, Hariyanto; Yani, Ahmad
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3608

Abstract

A individual or household is said to be in poverty if their income is insufficient to cover even the most basic requirements. According to BPS, 40% of Indonesians live in the country with the weakest economy. The use of power subsidies is one of the government's strategies for combating poverty. To combat poverty, the government works with PT. PLN to implement an electrical subsidy scheme that distributes payments to disadvantaged neighborhoods. The goal of the subsidy is to ensure the availability of power while assisting underprivileged customers and those who haven't heard from PT. PLN so they may take part in enjoying electrical energy. However, there are still challenges when there are several procedures, which makes it difficult to make judgments since they must take into account numerous factors. Using TOPSIS to solve 10 possibilities, including the following, is one way to get around the FMADM's various requirements: job, income, dependents, vehicle assets, home ownership, building area, source of drinking water, electrical power range, kind of floor, and type of house wall. According to the study's precise findings, only 11 residents out of 20 submissions received immediate recommendations for receiving power subsidies without having to wait a lengthy period. Additionally, although 9 people received recommendations for aid, only 1 received a recommendation against receiving support.
Sistem Pendukung Keputusan Rekomendasi Hotel Bintang Tiga Menggunakan Kombinasi Entropy dan Combine Compromise Solution Wahyudi, Agung Deni; Sumanto, Sumanto; Setiawansyah, Setiawansyah; Yudhistira, Aditia
Bulletin of Artificial Intelligence Vol 3 No 1 (2024): April 2024
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v3i1.142

Abstract

Three Star Hotels are lodging places that offer the perfect balance between comfort, adequate facilities, and affordable prices. With a friendly atmosphere and professional service, the hotel welcomes guests from various backgrounds warmly. One of the problems in choosing a Three Star Hotel is confusion due to variations in quality and facilities among hotels that have similar ratings. Although they share the same categories, the standards and services offered can vary greatly. This can make potential guests find it difficult to choose the right hotel that suits their preferences and needs. In addition, some hotels may not meet guest expectations due to issues such as poor cleanliness or facilities that do not function properly, which can generate dissatisfaction. The combination of Entropy weighting and the Combine Compromise Solution method can be a powerful approach in providing three-star hotel recommendations to potential guests. By combining these two methods, it can produce more informed and objective three-star hotel recommendations. Entropy weighting helps in assessing the relative importance of each criterion, while the Combine Compromise Solution allows us to reach a compromise solution that blends different preferences and criteria. The result is recommendations that are more accurate and tailored to potential guests' needs and preferences. The recommendation results showed that AN Hotel with a value of 1,782 got 1st place, AL Hotel with 1.271 got 2nd place, and YN Hotel with 1,145 got 3rd rank.
PEMILIHAN DOSEN TELADAN BERPRESTASI DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) Pujiastuti, Lise; Amin, Ruhul; Hariyanto, Hariyanto; Supriyatna, Adi; Christian, Ade; Sumanto, Sumanto
Journal of Innovation And Future Technology (IFTECH) Vol 6 No 2 (2024): Vol 6 No 2 (August 2024): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v6i2.3398

Abstract

This study aims to evaluate the performance of lecturers in higher education using the Multi Attribute Utility Theory (MAUT) method. The main problem faced is the complexity of assessing lecturers based on the Tri Dharma of Higher Education-education, research, and community service-as well as the challenges of subjectivity and inefficiency in manual assessment. MAUT was chosen due to its ability to consider various assessment criteria in a structured and objective manner and follows the standardization of outstanding lecturer assessment including: Education, Research, Community Service, Discipline, Commitment, Cooperation Ability and Ability to innovate. The results showed that Adi Fajar Insani had the best performance with a total final score of 1.01, while Dian Eka Fitriani had the lowest score of 0.00. The MAUT method proved effective in providing a comprehensive and fair assessment, overcoming the limitations of traditional methods that are not thorough. The conclusion of this study is that the application of MAUT can improve the objectivity, efficiency, and accuracy of the lecturer evaluation process, thus encouraging the improvement of lecturer quality and productivity in various fields. Further research is recommended to develop more relevant assessment criteria, involve larger samples, and explore the use of more sophisticated technology to support the assessment process.
Co-Authors Abdurrachman, Qais Achmad Rivai Syahputra Achmes Dade Ramadani Ade Budiman, Ade Ade Christian Adhiani, Budhi Adi Pangestu Adi Supriyatna Adinugroho, Wisnu Aditia Yudhistira Agung Wibowo Agus Buono Agus Santoso Ahmad Habibullah Ahmad Rais Ruli Ahmad Yani Ahmad Yani ahmad yani Ahmad Yani , Ahmad Yani Alamsyah, Muhammad Arkan Alghifar Firgiawan Alghiffary, Muhammad Adya Ali Mahmudi Ali, Muhamad Hafis Ali, Satrio Nur Alwan Kapi Muntaha Alya Avisa Andi Diah Kuswanto Andi Setiawan Andika Amansyah Andri Amico Anggreani, Namira Anita Adelia Syahfitri Antony Pangaribuan, Rizky Daud Apip Supiandi Aprillia, Dinda Aprilyanto, Ryan Dwi Ardiyansyah, Rizqi Ari Sulistiyawati Ari Sulistiyawati Ariskawati, Mila Arshad, Muhammad Waqas Arya, Yudi Asmawati Asmawati Asy'ari, Muhammad Rifqi Audy Aulia Azzahra Aulia Rachmat, Daffa Azkia, Farah Diba Bib Paruhum Silalahi Bismo Raharjo, Yohanes Aryo Budhi Adhiani Budhi Adhiani Christina Budi Santoso Budiman, Ade Surya Cahya, Titus Dwi Cahyani Ayu Sulistyawati Damayanti Damayanti Darmawi . Dedi Darwis Dedi Triyanto Dedi Triyanto Deny Kurniawan DENY KURNIAWAN Desiana Nuranudin Putri Dewi, Revinta Arrova Diah, Andi Dyah Ayu Megawaty Dyani Kalyana Mitta Eka Dyah Setyaningsih Eka Putri Alvi Syahrina Elisabeth Sri Hendrastuti Erlangga Rizki Ekaptra Faatin, Safinah Fahrian Fahroni, Aldiwa Alfa Thira Nur Faiz Djarot, Raihan Jamal Fajar Akbar Fajar Yoga Adiansyah Fajrian, Ihsan Fardha Hasykir Farhan Fadhilah Faris Syahrendra Farras Hilmy Ibrahim Faruk Ulum Fathur Rismansyah Fauzan Nawwir Andriansyah Fauzan, Muhammad Indra Ganda Wijaya Ganda Wijaya, Ganda Ghofar Taufiq Gibran, Muhamad Rendi Ginting Wibi Prasetyo Gustian, Riansyah Hafis Nurdin Harianto Harianto Hariyanto Hariyanto HARIYANTO HARIYANTO Hartanti Hartanti Hartono Hartono Heni Nur Kusumawati Hernawan, Muhammad Hendra Hidayat Putra, Rifki Nur Idha Rizqi Pratiwi Imam Budiawan Imam Budiawan Imam Wahyudi Indra Chaidir, Indra Indra, Ahmad Indriani , Karlena Indriyanti, Zahra Kiky Dwi Insani Abdi Bangsa Iqro Mukti Arto Jefina Tri Kumalasari Joko Tri Haryanto Joseph Melchior Nababan Jumadi, Yakobus Linus Jumaryadi, Yuwan Junhai Wang Junhai Wang Kadir, Fauwas Abdul Kaisar Ages Querio Karlena Indriani Karlisa Priandana Karo-Karo, Julkarnaen Kevin Dwi Satria Kotjek, Rafie Kumalasari Kumalasari Kuswanto, Andi Diah Laksono, Andriansyah Tri Laura Gabriel da Silva Lestari, Nindya Dwi Lia Mazia, Lia Lise Pujiastuti Lise Pujiastuti Lita Sari Marita Maharani Rona Makom Makom, Maharani Rona Manarul Hidayat Mantriwira, Daniel Mardinawat Mardinawat Mardinawati Mardinawati Mardinawati, Mardinawati Marundrury, Aberahamo Onoma Megawaty, Dyah Ayu Mochamad Wahyudi Muhammad Furqon Prasetyo Muhammad Raviansyah Musfiroh Musfiroh, Musfiroh Nabilla, Adinda Naufal Hermawan, Rezan Ningtyas, Listina Ade Widya Nirwana Hendrastuty Noviyanto Nur Rachmat Nugraha Nurfia Oktaviani Syamsiah Nurrahman, Alvin Oprasto, Raditya Rimbawan Paduloh Paduloh Pakpahan, Roida Pasaribu, A. Ferico Octaviansyah Paulus Paulus Permata, Permata Prasetyo Adi Suwignyo Prasetyo, Romadhan Edy Pribadi, Denny Pricillia Primadana, Raihan Pujiastuti, Lise Purwandani, Indah Putra Satria Putra, Imam Hanif Rachmat Adi Purnama Rafi Kurniawan Raihan Naufal Ramadhan Raihan Raihan, Raihan Ramadhan, Muhammad Gilang Ramadhani, Dwiki Gilang Ramadhani, Varla Octavia Rani, Maulidina Cahaya Rasendriya, Rafi Rasyid, Arnata Nur Ratiyah* Ratiyah Ratnasari, Arum Respati Putra, Micho Retno Winarti Reynaldi , Reynaldi Rian Hidayat Ridwan, Asrifia Rifda Ilahy Rosihan Riska Aryanti Rivaldi, Muhammad Rizal Maulana Rizqi Ramadhani, Muhammad Rofiqi, Ainur Roida Pakpahan Roida Pakpahan Roni Saputra Pratama Ruhul Amin Rumidjan Rumidjan, Rumidjan Rusda Wajhillah Ryan Randy Suryono Ryehan Alfiansyah Sanriomi Sintaro Santosa, Teguh Budi Saputra, Sabita Abigail Saputra, Yusup Saputri, Fifin Sefriani, Shintia Putriayu Sentanu, Quinn Abrar Athallah Sentot Achmadi Setiawan, Dandi Setiawansyah Setiawansyah Siregar, Denny Solihin Solihin Souisa, Juanny Cheristy Sri Hendrastuti, Elisabeth Sri Sugiharti Suci, Bintang Dyas SUKAMTI . Sulaiman Sulaiman Sulistyo Sulistyo Sumarna Sumarna Sumarna Sumarna Suparno Suparno Suwandi Suwandi Syakir, Adryan Raihan Tabrani, Tabrani Tanjung, Widya Viona Septi Tarmidzi Ibrahim Taufig, Ghofar Teguh Budhi Santosa Teguh Budi Santosa Temi Ardiansah Teuku Vaickal Rizki irdian Tito, Herdinan Tri Widian Ratnasari Ulum, Faruk Umam, Hairul Umar, Muhammad Hussein Ummu Radiyah, Ummu Vemi Januar Pratama Vera Agustina Yanti Virgiawan, Gilang Wahyudi, Agung Deni Wang, Junhai Wardani, Maidy Tri Wattilah, Florentina Wijaya, Filzah Wina Ningsih Yamani, Teuku Arrasy Yanuar Laik, Abraham Adrian Yunardus, Yunardus Yundari, Yundari Yuri Rahmanto Zahwa Asfa Rabbani Zaky, Faiz Najwan Zalmi, Indah Oktavia Zidan, Muhammad `Diah Kuswanto, Andi