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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi ELSE (Elementary School Education Journal) : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Journal of Information Systems and Informatics Neo Teknika: Jurnal Ilmiah Teknologi Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Teknologi Informasi Cyberku Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Majalah Ilmiah Inspiratif Biner : Jurnal Ilmiah Informatika dan Komputer Indonesian Journal of Community Empowerment (IJCE) "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Ngudi Waluyo Empowerment : Jurnal Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika Jurnal Ilmu Komputer
Abdul Rohman
Universitas Ngudi Waluyo
Arts Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Penerapan Algoritma C4.5 dalam Memprediksi Kepuasan Siswa Terhadap Kinerja Guru SMK Fitria Nur Anifah; Abdul Rohman
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3203

Abstract

This study aims to predict student satisfaction levels with teacher performance at vocational high schools (SMK) using data mining methods with the C4.5 algorithm. The research data was obtained through a teacher performance assessment questionnaire, which was processed using RapidMiner software to build a decision tree-based classification model. The model performance was evaluated using a Confusion Matrix with accuracy, precision, recall, and F1-score metrics, as well as Cohen's Kappa measurement to assess the suitability of the classification results. In addition, a cross-validation scheme was used to ensure the stability of the model's performance. The results showed that the C4.5 algorithm was able to classify student satisfaction levels with a very high degree of accuracy and a Cohen's Kappa value that indicated perfect classification consistency. The resulting model was able to clearly identify patterns of student satisfaction based on teacher performance indicators. This study shows that the C4.5 algorithm has the potential to be applied as a tool to support student satisfaction analysis in the field of education and can be further developed with more diverse datasets and comparison methods.
Analisis Probabilistik Kepuasan Guru Terhadap Sistem Absensi QR Code Menggunakan Naïve Bayes Pada Data Kuesioner Irfan Fakhruddin; Abdul Rohman
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3215

Abstract

The study aims to predict the satisfaction outcomes of teachers at SMA 1 Purwantoro regarding the implementation of a web-based QR Code attendance system using the Naïve Bayes data processing method. With the rapid development of the digital era, particularly in education, institutions are required to utilize technology. However, one of the public high schools in Wonogiri still uses a conventional attendance system, which is considered inefficient and time-consuming. The method used by the authors for data processing is Naïve Bayes, an algorithm based on statistical probability and Bayes’ theorem to predict probabilities. Data collection was conducted through a Google Form questionnaire involving 20 respondents, covering aspects of ease of use, speed, reliability, and security. Based on the probability table calculations, the level of teacher satisfaction in using the QR Code attendance system can be categorized as predominantly satisfied, with 65% of respondents stating they are satisfied and 35% indicating dissatisfaction. Furthermore, the conditional probability analysis within the satisfied category shows that the ease of use aspect has a value of 0.92, speed 1.00, reliability 0.92, and security 1.00 based on the overall respondent data. From these findings, it can be concluded that the implementation of a web-based QR Code attendance system is considered capable of facilitating teachers and staff in managing student attendance processes. The system helps reduce delays in attendance recording and simplifies the process of entering attendance data more efficiently.
Sistem Pakar Diagnosa Hama dan Penyakit Tanaman Bawang Merah dan Cabai Menggunakan Metode Forwad Chaining Afif Faisal Yasin; Sri Mujiyono; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 6 No. 1 (2024): Juli 2024
Publisher : Universitas Ngudi Waluyo

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Abstract

Permasalahan terhadap virus penyakit pada tumbuhan bawang merah dan cabai dapat menyebabkan kerugian ekonomi yang signifikan bagi Pedagang sekalipun Petani. Oleh sebab itu perlu dikembangkan suatu system pakar untuk mendiagnosa virus ini dengan cepat dan akurat. Penelitian ini menggunakan metode Forward Chaining dan aturan If dan Then yang bertujuan untuk mengembangkan system pakar diagnosa penyakit pada tumbuhan tersebut. Untuk mengembangkan system pakar ini, dapat mengumpulkan berbagai data jenis hama penyakit yang biasanya menyerang bawang merah dan cabai beserta gejala – gejalanya. Hasil uji coba system ini menunjukan bahwa metode Forward Chaining sangat efektif dalam mendiagnosa penyakit tersebut. Dengan gejala memberikan gejala tertentu, system dapat dengan cepat menentukan jenis penyakit yang terjangkit. Keakuratan sistem ini memberikan harapan bagi para petani dan pedagang untuk mengatasi permasalahan gagal panen mereka yang ditimbulkan oleh serangga hama. Kata Kunci : Sistem Pakar, Forward Chaining, If Dan Then, Diagnosa, Penyakit Tanaman Bawang Merah Dan Cabai Problems with viral diseases in shallots and chili plants can cause significant economic losses for traders and even farmers. Therefore it is necessary to develop an expert system to diagnose this virus quickly and accurately. This study uses the Forward Chaining method and If and Then rules which aim to develop an expert system for diagnosing plant diseases. To develop this expert system, I collected data on various types of pests that usually attack shallots and chilies and their symptoms. The results of this system trial show that the Forward Chaining method is very effective in diagnosing the disease. By giving certain symptoms, the system can quickly determine the type of disease that is infected. The accuracy of this system gives hope to farmers and traders to overcome their crop failure problems caused by insect pests. Keywords: Expert System, Forward Chaining, IF and Then, Diagnose, Onion and chili plant diseases
Pengembangan Sistem Informasi Algoritma Berbasis Linier Search Untuk Transaksi Jual Beli Ikan Laut Berbasis Web di Pelabuhan Perikanan Deta verrensyah; Iwan Setiawan Wibisono; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 6 No. 1 (2024): Juli 2024
Publisher : Universitas Ngudi Waluyo

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Abstract

Perkembangan teknologi informasi telah mengubah cara manusia berinteraksi dan melakukan berbagai kegiatan,termasuk dalam perdagangan. Salah satu sektor perdagangan yang mengalami perkembangan pesat adalah perdagangan ikan. Dalam rangka untuk meningkatkan efisiensi dan kenyamanan transaksi jual beli ikan. Perikanan penjualan dan pembelian Cilacap telah mengimplementasikan sistem berbasis web. Penelitian ini bertujuan untuk menggambarkan implementasi algoritma linear search pada sistem transaksi jual beli ikan berbasis web di PPC Cilacap. Algoritma Linear search digunakan untuk mencari data ikan yang tersedia dalam sistem berdasarkan kriteria tertentu, seperti jenis ikan,ukuran,dan harga. Penerapan algoritma ini diharapkan dapat membantu para pedagang dalam menemukan ikan yang sesuai dengan kebutuhan mereka dengan kebih cepat dan efisien. Kata kunci : Algoritma linear search,transaksi jual beli ikan,berbasis web,PPC Cilacap,Efisiensi,Berbasis web The development of information technology has changed the way humans interact and carry out various activities, including in trade. One of the trade sectors that experienced rapid development was the fish trade. In order to increase the efficiency and convenience of buying and selling fish transactions. Fishery sale and purchase of Cilacap has implemented a web-based system.This study aims to describe the implementation of the linear search algorithm on a web-based fish buying and selling transaction system at PPC Cilacap. The Linear search algorithm is used to find available fish data in the system based on certain criteria, such as fish species, size, and price. The application of this algorithm is expected to help traders find fish that suit their needs more quickly and efficiently. Keywords: linear search algorithm, fish buying and selling transactions, web-based, PPC Cilacap, efficiency, web-based
Prediksi Tingkat Pelayanan Pasien di Puskesmas Leyangan Menggunakan Algoritma C4.5 Muhammad Diva Livarizi; Iwan Setiawan Wibisono; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 6 No. 2 (2024): Desember 2024
Publisher : Universitas Ngudi Waluyo

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Abstract

Abstract This study aims to develop the C4.5 algorithm, which is a decision tree method that has been proven efficient in data classification and prediction to predict the level of patient satisfaction with services at the Puskesmas. Patient satisfaction is an important indicator in evaluating the quality of health services and plays a role in improving the quality of puskesmas. Data collection was carried out through questionnaires and surveys filled out by Puskesmas patients. The data collected includes various service-related variables, such as services, facilities, and overall patient responsiveness. After that, the data is processed and analyzed using the C4.5 algorithm to form a predictive model. The results of this study will contribute to improving Puskesmas services by identifying aspects that need to be improved to increase patient satisfaction levels. Keyword : Prediction System, Decision Tree , Algorithm C4.5, Rapid Miner, Satisfaction Penelitian ini bertujuan untuk mengembangkan algoritma C4.5 yaitu salah satu metode pohon keputusan yang telah terbukti efisien dalam klasifikasi dan prediksi data guna memprediksi tingkat kepuasan pasien terhadap pelayanan di Puskesmas. Kepuasan pasien adalah indikator penting dalam mengevaluasi kualitas pelayanan kesehatan dan berperan dalam meningkatkan kualita puskesmas. Pengumpulan data dilakukan melalui kuesioner dan survei yang diisi oleh pasien Puskesmas. Data yang dikumpulkan mencakup berbagai variabel terkait pelayanan, seperti pelayanan, fasilitas, dan daya tanggap pasien secara keseluruhan. Setelah itu, data tersebut diolah dan dianalisis menggunakan algoritma C4.5 untuk membentuk model prediksi. Hasil penelitian ini akan memberikan kontribusi dalam meningkatkan pelayanan Puskesmas dengan mengidentifikasi aspek-aspek yang perlu diperbaiki untuk meningkatkan tingkat kepuasan pasien. Kata Kunci : Sistem Prediksi, Algoritma C4.5, Decision Tree, Rapid Miner, Kepuasan
Prediksi Minat Santri Pondok Pesantren Daarul Mukhlishin Masuk Perguruan Tinggi Menggunakan Algoritma C4.5 Salman Alfarizi; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 6 No. 2 (2024): Desember 2024
Publisher : Universitas Ngudi Waluyo

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Abstract

Pendidikan merupakan salah satu hal yang paling mendasar yang dibutuhkan manusia, namun dalam prosesnya masih terjadi banyak masalah. Seperti halnya yang sedang terjadi di Pondok Pesantren Daarul Mukhlishin, para santri disana belum ada rasa minat atau belum terlihatnya minta untuk melanjutkan ke jenjang Pendidikan yang lebih tinggi seperti perguruan tinggi. Dengan hal itu perlu adamya prediksi terhadap santri, agar keinginan, kemauan, dan minat yang tinggi dapat terlihat dengan baik untuk menentukan masa depan para santri salah satunya dengan mereka melanjutkan studi jenjang perguruan tinggi. Oleh karena itu diperlukan Prediksi Minat Santri Pondok Pesantren Daarul Mukhlishin menggunakan Algoritma C4.5. penelitian ini dirancang dan dikembangkan menggunakan bahasa pemograman PHP dan MYSQL sebagai databasenya serta menggunakan Algoritma C4.5 untuk melakukan Perhitungan Prediksi yang memuat beberapa kriteria. Dari hasil pengujian menggunakan Confusion Matrix memperlihatkan bahwa sistem ini dapat berjalan sesuai dengan fungsinya yaitu dapat melakukan Prediksi Miat Santri Masuk Perguruan Tinggi. Serta pengujian akurasi yang menghasilkan tingkat akurasi yang sangat baik sebesar 100% dan tingkat kegagalan 0% dari hasil penelitian ini dapat disimpulkan bahwa Faktor yang paling berpengaruh dalam minat santri masuk perguruan tinggi adalah faktor eksternal sebesar 27% dan faktor yang paling kecil mempengaruhi adalah faktor internal sebesar 13% dari 5 Kriteria yaitu Keinginan,Cita- Cita,Motivasi Faktor Internal dan Eksternal. Kata Kunci : Algoritma C4.5, Minat, Pondok Pesantren Education is one of the most basic things that humans need, but in the process there are still many problems. As is the case at Daarul Mukhlishin Islamic Boarding School level, the students there don't have any interest or don't seem to want to continue on to a higher level of education. With this, it is necessary to have predictions for students, so that the desire, will, and high interest can be seen well to determine the future of the students. Therefore it is necessary to predict the interest of Daarul Mukhlishin Islamic Boarding School students using the C4.5 Algorithm. This research was designed and developed using the PHP and MYSQL programming languages as databases and using the C4.5 Algorithm to perform Prediction Calculations which contain several criteria. From the results of testing using the Confusion Matrix, it shows that this system can run according to its function, namely being able to predict students' intentions to enter higher education. As well as accuracy testing which produces an excellent accuracy rate of 100% and a failure rate of 0% from the results of this study it can be concluded that the most influential factor in students' interest in entering college is an external factor of 27% and the factor that has the least influence is internal factor by 13% of the 5 Criteria, namely Desires, Goals, Motivation, Internal and External Factors. Keywords: C4.5 Algorithm, Interest, Islamic Boarding School
Sistem Prediksi Penjualan Menggunakan Metode Single Exponential Smoothing Berbasis Web (Studi Kasus : PT Ungaran Sari Garments) Husnul Khotimah; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 7 No. 1 (2025): Juli 2025
Publisher : Universitas Ngudi Waluyo

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Abstract

Selama ini PT Ungaran Sari Garments hanya memprediksi penjualannya mengandalkan insting atau perkiraan dari manajer gudang untuk mengambil keputusan dalam pembelian persediaan barang. Belum adanya perhitungan yang menggunakan suatu sistem untuk membantu memprediksi penjualan periode kedepannya. Ada beberapa metode terkait prediksi salah satunya yaitu Single Exponential Smoothing, metode ini tidak memerlukan banyak data penjualan dari periode-periode sebelumnya untuk menghasilkan suatu peramalan. Data yang diambil adalah data penjualan dari bulan juni 2021 sampai Mei 2022 yaitu berjumlah 190.771. Hasil pengujian metode Single Exponential Smoothing untuk mengetahui tingkat nilai keakuratan memperoleh hasil peramalan terbaik terdapat pada alpha 0.1 dengan MAPE 8,28%, dan peramalan penjualan periode bulan juli 2022 yaitu 15758. Metode ini dinyatakan sangat akurat karena memiliki nilai MAPE terendah. Sistem ini hanya dapat meramalkan satu periode tertentu saja tidak dapat digunakan untuk melakukan peramalan beberapa periode kedepan dalam satu peralaman. Kata kunci: Sistem Prediksi Penjualan, Single Exponential Smoothing, PT Ungaran, Sari Garments Until now, PT Ungaran Sari Garments has relied solely on instinct or estimates from warehouse managers to predict its sales when making inventory purchasing decisions. There has been no systematic calculation to help predict future sales. Several forecasting methods exist, one of which is Single Exponential Smoothing. This method does not require extensive sales data from previous periods to generate a forecast. The data used was sales data from June 2021 to May 2022, totaling 190,771. Testing the Single Exponential Smoothing method to determine the accuracy of the forecast showed the best result at an alpha of 0.1 with a MAPE of 8.28%, and a sales forecast for July 2022 of 15,758. This method was deemed highly accurate due to its lowest MAPE value. This system can only forecast a specific period and cannot be used to forecast multiple future periods in a single run. Keywords: Sales Prediction System, Single Exponential Smoothing, PT Ungaran, Sari Garments
Sistem Pendukung Keputusan Untuk Penentu Kategori Anak Terajin Pada Pelayanan Sekolah Minggu di GSJA Bukit Horeb Salatiga Dengan Metode Analytical Hierarchy Process Siska Nadeak; Iwan Setiawan Wibisono; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 7 No. 1 (2025): Juli 2025
Publisher : Universitas Ngudi Waluyo

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Abstract

Sistem pendukung keputusan penentuan kategori anak terajin pada pelayanan anak sekolah minggu GSJA Bukit Horeb Salatiga masih dijumpai sistem keputusan manual merupakan hambatan dalam proses pelayananan karena seringkali terjadi kesulitan dalam menyeleksi. Hal tersebut dapat mengakibatkan tidak tepat sasarannya pengahargaan yang diberikan serta memerlukan banyak waktu dalam proses yang manual. Untuk itu diperlukan suatu aplikasi pendukung keputusan untuk memilih anak dalam kategori terajin. Sistem pendukung keputusan (SPK) memungkinkan pengguna untuk melakukan keputusan dengan lebih cepat dan tepat. Metode yang digunakan adalah metode Analytic Hierarchy Process (AHP). Penelitian dilakukan berdasarkan prosedur AHP. Kriterianya adalah Kehadiran, tugas, keaktifan dan disiplin. Untuk mempermudah pengujian digunakan lima alternatif anak sekolah minggu yaitu: Alvino ghani putra, Bunga kanya A, Melody Novelita Purw, Ruben shalom natanael, Susistiani febrian. Hasil penelitian menunjukkan bahwa peringkat pertama didapat oleh Ruben shalom natanael (0,295769), kedua Susistiani febrian (0,193573), ketiga Alvino ghani putra (0,188745), kempat Melody Novelita Purw (0,163848) kelima Bunga kanya A(0,158063). Jadi dapat disimpulkan bahwa aplikasi dapat mendukung sistem pengambilan keputusan penentuan kategori anak terajin. Kata kunci : SPK, kategori anak terajin, AHP(Analytic Hierarchy Process) The decision support system for determining the category of "most diligent" children in the Sunday school service at GSJA Bukit Horeb Salatiga still encounters a manual decision-making system, which is a barrier to the service process because it often causes difficulties in selection. This can result in inaccurate awards and requires a lot of time in the manual process. Therefore, a decision support application is needed to select children in the most diligent category. A Decision Support System (DSS) allows users to make decisions more quickly and accurately. The method used is the Analytic Hierarchy Process (AHP) method. The research was conducted based on the AHP procedure. The criteria were attendance, assignments, activeness, and discipline. To facilitate testing, five alternative Sunday school children were used: Alvino Ghani Putra, Bunga Kanya A, Melody Novelita Purw, Ruben Shalom Nathanael, and Susistiani Febrian. The results showed that Ruben Shalom Nathanael ranked first (0.295769), followed by Susistiani Febrian (0.193573), Alvino Ghani Putra (0.188745), Melody Novelita Purw (0.163848), and Bunga Kanya A (0.158063) in third place. Therefore, it can be concluded that the application can support the decision-making system for determining the category of skilled children.
Pelatihan Membuat Website Sekolah Sekolah dengan Menggunakan Blooger di Komunitastas e-guru.id Abdul Rohman; Yoannes Romando Sipayung; Basuki Sulistio
Multimatrix: Jurnal Ilmu Komputer Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Ngudi Waluyo

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Website sekolah merupakan instrumen vital dalam era transformasi digital untuk mendukung transparansi informasi, promosi, dan komunikasi antara sekolah dengan masyarakat. Namun, keterbatasan kompetensi teknis guru dan kendala biaya seringkali menjadi hambatan utama bagi sekolah dalam memiliki website resmi. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan literasi digital guru serta memberikan keterampilan praktis dalam pembuatan dan pengelolaan website sekolah berbasis platform Blogger. Kegiatan ini melibatkan 79 guru dari berbagai wilayah di Indonesia yang tergabung dalam komunitas e-Guru.id. Metode pelaksanaan dilakukan secara daring selama enam bulan pada tahun 2024 dengan pendekatan partisipatif dan learning by doing, yang mencakup tahap persiapan, pelatihan inti, pendampingan, serta evaluasi. Hasil kegiatan menunjukkan bahwa seluruh peserta berhasil membuat website sekolah secara mandiri yang dilengkapi dengan fitur profil sekolah, berita, dan layanan interaktif tanpa memerlukan keahlian pemrograman (coding). Selain itu, terdapat peningkatan signifikan pada kepercayaan diri dan kompetensi guru dalam pengelolaan konten digital. Penggunaan Blogger terbukti menjadi solusi praktis, efisien, dan berkelanjutan untuk mengatasi kesenjangan digital di lingkungan pendidikan. Kata Kunci: Blogger, Kompetensi Guru, Literasi Digital, Transformasi Digital, Website Sekolah. School websites are vital instruments in the era of digital transformation, supporting information transparency, promotion, and communication between schools and the community. However, limited teacher technical competency and financial constraints are often major barriers for schools in establishing official websites. This Community Service (PkM) activity aims to improve teachers' digital literacy and provide practical skills in creating and managing school websites based on the Blogger platform. This activity involved 79 teachers from various regions in Indonesia who are members of the e-Guru.id community. The implementation method was conducted online for six months in 2024, using a participatory and learning-by-doing approach, encompassing preparation, core training, mentoring, and evaluation. The results showed that all participants successfully created their own school websites, complete with school profile features, news, and interactive services without requiring programming skills (coding). Furthermore, there was a significant increase in teachers' confidence and competency in digital content management. The use of Blogger has proven to be a practical, efficient, and sustainable solution to address the digital divide in educational settings. Keywords: Blogger, Teacher Competence, Digital Literacy, Digital Transformation, School Website.
Prediksi Minat Mahasiswa Terhadap Kegiatan Sinematografi Menggunakan Algoritma C4.5 di Universitas Ngudi Waluyo Ray Taufiqy Sagala; Abdul Rohman
Multimatrix: Jurnal Ilmu Komputer Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Ngudi Waluyo

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Abstract

Minat merupakan salah satu hal yang paling mendasar bagi mahasiswa untuk menemukan bakatnya. Dan bakat mahasiswa sangatlah penting untuk diketahui oleh universitas sebagai kegiatan kemahasiswaan untuk mengembangkan potensi mahasiswa. Maka dari itu perlu adanya prediksi minat mahasiswa agar pihak universitas bisa mengetahui minat dan bakat mahasiswa. Oleh karena itu diperlukan system prediksi minat mahasiswa menggunakan Algoritma C4.5. Penelitian ini dirancang dan dikembangkan menggunakan aplikasi Microsoft Excel, yang kemudian di evaluasi akurasinya menggunakan aplikasi Rapid Miner. Dan hasil dari pengujian Confusion Matrix memperlihatkan bahwa system ini dapat berjalan sesuai dengan fungsinya yaitu melakukan prediksi minat mahasiswa terhadap kegiatan sinematografi. Serta pada pengujian akurasi, system ini menghasilkan nilai akurasi sangat baik sebesar 94,24%. Kata Kunci : Algoritma C4.5, Minat, Mahasiswa, Sinematografi Interest is one of the most basic things for students to discover their talents. And student talent is very important to be known by the university as a student activity to develop student potential. Therefore it is necessary to predict student interest so that the university can find out student interests and talents. Therefore we need a prediction system for student interest using the C4.5 Algorithm. This research was designed and developed using the Microsoft Excel application, which was then evaluated for accuracy using the Rapid Miner application. And the results of the Confusion Matrix test show that this system can run according to its function, namely predicting student interest in cinematography activities. As well as in testing accuracy, this system produces a very good accuracy value of 94.24%. Keywords : C4.5 Algorithm, Interest, Student, Cinematography
Co-Authors Afiatna, Puji Afif Faisal Yasin Afifah Nur Hawa Agung Wibowo Agung Wibowo Anief Rufiyanto Aqmal Putra R.R Aya Sofia Dinafa Basuki Sulistio Bayu Evendi Catur Supriyanto Choerul Fikri Hamdani Cicik Harini Cintya Ayu Putri Dedy Alan Wirawan Desi Fitria Wulandika Deta verrensyah Dika Ade Royani Erika Ifalinda Fernanda Bagus Dwi Prastyo Fernanda Bagus Dwi Prastyo Fiki Wijayanti Fitria Nur Anifah Hanik Dewi Jayanti Hendri Saputra hia, Meriani Husnul Khotimah Intan Febriyana Irene Trivena Montalili Irfan Fakhruddin Ismail, Ahmad Hafizh Iwan Setiawan Wibisono Khilda Afriyani Khoirul Asrofi Lismawati Gulo Mayasa Kurnia Muhammad Diva Livarizi Muhammad Rochcham Munasiroh Munasiroh Nopita Widayanti Noviyana Dwi Herlinda Pandansari sary Ray Taufiqy Sagala Rina Purwanti Robi Rohamini Rochmawati, Nur Intan Sabilatul Hidayah Salman Alfarizi Siska Nadeak Sri Mujiyono Suamanda Ika Novichasar Sugeng Deri Pratama Tara Indah Afelia Teguh Santoso Ucik Lujiyanti Rukmana Umi Halimatussa'diyah Vincent Suhartono Wahyu Aji Kuswoyo Wildan Khoiri Priandana Yoannes Romando Sipayung Yusak Maryunianta