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All Journal NOTARIUS Jurnal Kesehatan Lingkungan indonesia Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Abdimas PRIVATE LAW Journal of Economics, Business, & Accountancy Ventura The Indonesian Accounting Review JAIS (Journal of Applied Intelligent System) Jurnal Teknik Sipil Journal of Information System Majalah Lontar Journal of Development Research JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research AKRUAL: Jurnal Akuntansi FENOMENA Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal Meta-Yuridis Martabe : Jurnal Pengabdian Kepada Masyarakat Voice Of Informatics Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Pengabdian Hukum Indonesia (Indonesian Journal of Legal Community Engagement) JPHI JURIKOM (Jurnal Riset Komputer) JURTEKSI AT-TURAS: Jurnal Studi Keislaman Jurnal Ilmu Manajemen dan Akuntansi Terapan Indonesian Journal of Advocacy and Legal Services Proceedings of Annual Conference for Muslim Scholars Manajemen Agribisnis: Jurnal Agribisnis Abdimasku : Jurnal Pengabdian Masyarakat Seminar Nasional Hukum Universitas Negeri Semarang Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) International Journal of Educational Research and Social Sciences (IJERSC) Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Bisnis Mahasiswa An Nawawi Audito Comparative Law Journal (ACLJ) Abimanyu: Journal of Community Engagement Jurnal Multidisiplin Dehasen (MUDE) Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Bhinneka Al-Istinbath: Jurnal Hukum Islam Proceeding International Conference on Malay Identity J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Electronic Journal of Education, Social Economics and Technology Al-Musyrif : Jurnal Bimbingan dan Konseling Islam Managere: Indonesian Journal of Educational Management Amsir Accounting & Finance Journal JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Kesehatan Indonesia FENOMENA: Journal of Social Science Journal of Law and Legal Reform Scientific Journal of Informatics Media Penelitian dan Pengembangan Kesehatan Jurnal Pengabdian Hukum Indonesia Indonesian Journal of Advocacy and Legal Services Journal of Business and Information System
Pujiono Pujiono
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro Semarang
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Pelatihan Pengelolaan Keuangan Keluarga di Masa Pandemi Covid-19 Putra, Rediyanto; Kusumaningtias, Rohmawati; Venusita, Lintang; Pujiono, Pujiono; Hidayat, Rendra Syarief
Abimanyu : Jornal of Community Engagement Vol 3 No 1 (2022): February 2022
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/abi.v3n1.p80-91

Abstract

Tujuan dari dilakukannya kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan pengetahuan mengenai pengelolaan keuangan keluarga di masa pandemi Covid-19 untuk menciptakan efektivitas dan efisiensi keuangan keluarga. Kegiatan pengabdian ini akan dilakukan pada ibu-ibu di RT 02 dan RT 04 RW 10 Desa Sumorame Kecamatan Candi Sidoarjo Jawa Timur. Secara umum, pelaksanaan kegiatan PkM ini telah berjalan dan diterima dengan baik. Hasil dari pelaksanaan PkM ini menunjukkan bahwa para peserta PkM mendapatkan tambahan pemahaman mengenai tata kelola keuangan keluarga di masa pandemi, hal ini didasarkan pada bukti nilai dari latihan soal yang menunjukkan bahwa rata-rata tingkat pemahaman materi dari para peserta pelatihan keuangan keluarga adalah sebesar 53%. Beberapa saran yang diajukan berdasarkan hasil pelaksanaan program pengabdian yaitu perlu untuk adanya penyesuaian jadwal dan metode pelaksanaan program pengabdian ketika dilakukan di masa pandemi COVID-19 atau masa-masa dengan tingkat ketidakpastian yang tinggi, tingkat koordinasi yang baik antar anggota pelaksanaan sangat dibutuhkan untuk tercapainya program, dan perlu adanya inovasi penyampaiaan materi agar audience tidak merasa bosan dan semakin semangat untuk menambah pengetahuan. Kegiatan ini diharapkan dapat menghasilkan beberapa luaran penting seperti 1 modul pengelolaan keuangan keluarga, 1 artikel jurnal pengabdian, 1 artikel media masa, dan 1 video pelaksanaan program.
Pemberdayaan Bumdes Bojonegoro Melalui Kemandirian Pengelolaan Website Putra, S.E., MSA, Rediyanto; Kusumaningtias, Rohmawati; Pujiono, Pujiono; Siregar, Cantika Sari; Hidayat, Rendra Arief; Prasetyo, Eko
Abimanyu : Jornal of Community Engagement Vol 4 No 1 (2023): February 2023
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/abi.v4n1.p1-8

Abstract

This service activity will be carried out at BUMDES located in Kapas Village, Kapas District, Bojonegoro Regency, East Java. This group experienced several problems, namely the lack of knowledge about the use of Information and Communication Technology for BUMDES businesses and the unavailability of BUMDES website media that can be used to manage and disseminate information to the public. Therefore, this activity provides solutions as follows: training on the use of Information and Communication Technology to BUMDES managers and the creation of websites and YouTube accounts as BUMDES media for digitally managing and disseminating information. The methods used in this community service activity are field surveys, lectures, demonstrations, practices, discussions, and distributing questionnaires. This PkM activity has been going well as shown from the results of the PkM activity survey that has been given to participants. This PkM activity succeeded in providing a number of outcomes that were given to partners in the form of website products, youtube accounts, and simple excel-based financial applications. In addition, this PkM also provides knowledge partners that can be used to manage the BUMDES business that has been run so that it becomes even better.
Pendampingan Penyusunan Program Kerja BPD dalam Meningkatkan Akuntabilitas Desa Haryati, Haryati; Pujiono, Pujiono; Nuswantara, Dian Anita; Yanthi, Merlyana Dwinda; Siregar, Cantika Sari
Abimanyu : Jornal of Community Engagement Vol 4 No 1 (2023): February 2023
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/abi.v4n1.p9-15

Abstract

Badan Permusyawaratan Desa (BPD) is a solid partner of the village government in building and prospering the people as well as the full holder and implementer of village community sovereignty and plays a role not as an extension of the government, but rather as a representative of the community as well as an intermediary between the community and the Village Government. Village management must meet the principles: (1) Legal Certainty, (2) Orderly Administration of Government, (3) Orderly Public Interest, (4) Openness, (5) Proportionality, (6) Professionalism, (7) Accountability, (8) Effectiveness and efficiency, (9) Local wisdom, (10) Diversity, and (11) Participatory. Of all the principles of village management, the principles of accountability and transparency are often not met, thereby increasing the opportunity for fraud to occur, so assistance is needed in the preparation of BPD work programs in increasing village accountability. Mentoring activities succeeded in increasing the competence of village officials in the preparation of BPD work programs to improve accountability and good transparency. This can be seen from the increasing value of the acquisition of pretest scores above 70 by 69% and posttest scores above 70 by 89%.
THE EFFECT OF ENVIRONMENT ANDAUDITOR INDIVIDUAL FACTORS ON AUDITOR JUDGMENT Arieftiara, Dianwicaksih; Pujiono, Pujiono
Journal of Economics, Business, and Accountancy Ventura Vol. 16 No. 3 (2013): December 2013
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v16i3.217

Abstract

This research examinesfactors influence auditors, when they make ortake judgments during audit client’s financial statement. Those factors were divided into two groups; environmental factors and auditor individual factors. Environmental factors are consists of internal auditor quality and communication between auditor and client. Whereas individual factors consist of auditor’s experience and auditor’s attitude under time pressure. Furthermore,this research used empires data are 86 respondents. The characteristic of those respondents were auditors who work in public accounting firms on Surabaya, had experience three years minimum, ever audit client who had internal audit departmentand ever audit the same client morethan once. The results of researches analysis could be learned that there are many factors influencing auditor judgment. In conclusion, this study found that internal auditor quality, auditor’s experience and auditor’s attitude under time pressure has influence toward auditor judgment. Whereas, communication between auditor and client doesn’t have influence toward auditor judgment.
Analysis Kernel and Feature: Impact on Classification Performance on Speech Emotion Using Machine Learning Gondohanindijo, Jutono; Noersasongko, Edi; Pujiono, Pujiono; Muljono, Muljono
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i3.29022

Abstract

The main objective of this study is to test the machine learning kernel's selection against the characteristics of the data set used, resulting in good classification performance. The goal of speech emotion recognition is to improve computers' ability to detect and process human emotions in order to improve their ability to respond to interactions between people and computers. It can be applied to feedback on talks, including sentimental or emotional content, as well as the detection of human mental health. One field of data mining work is Speech Emotion Recognition. One of the important things in data mining research is to determine the selection of the kernel Classifier, know the characteristics of datasets, perform Engineering Features and combine features and Corpus Datasets to obtain high accuracy. The research uses analysis and comparison methods using private and public datasets to detect speech emotions. Experimental analysis was done on the characteristics of datasets, selection of kernel classifiers, pre-processing, feature and corpus datasets fusion. Understanding the selection of a classifier kernel that matches the characteristics of the dataset, engineering features and the merger of features and datasets are the contributions of this investigation to improving the accuracy of the classification of speech emotion data. For models with the selection of kernels that match the characteristics of their datasets, this study gave an increase in accuracy of 12.30% for the private dataset and 14.80% for the public dataset, with accuracies of 100.00% and 74.80% respectively. Combining features and public datasets provides an increase in accuracy of 33.62% with an accuracy of 73.95%.
Simulasi Surge Tsunami Dengan Metode Dam Break Menggunakan Reservoar Terbatas Bangguna, David; M. Tangkeallo, Marthen; O. Pandoyu, Ebelhart; Pujiono, Pujiono; E. Wuon, Orva; B. Pakpahan, Irnovia
Jurnal Teknik Sipil Vol 31 No 2 (2024): Jurnal Teknik Sipil - Edisi Agustus
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2024.31.2.5

Abstract

Abstract The dam break method for simulating tsunami surges in the laboratory typically uses a sufficiently long flume, so that the upstream section of the flume, which serves as the reservoir, is also quite long. Using a long reservoir can provide a more extended simulation time for tsunami surge propagation on land, allowing the characteristics of the tsunami surge to be well observed. With a shorter flume, the reservoir space is also limited in length, and the simulation time for tsunami surge propagation is likewise constrained. This study aims to describe the characteristics of the simulated tsunami surge in comparison to the Chanson solution using a limited (short) reservoir. The tsunami surge simulation in a dry channel was conducted under the assumption of a limited reservoir with no bed slope. The water height in the reservoir varied from (d0) = 100 mm, 200 mm, 300 mm, and 400 mm, and the simulation was performed three times for each reservoir height. The tsunami surge simulation with downstream inundation was conducted similarly, but with an initial downstream inundation height of d1 = 100 mm and 150 mm, without initial velocity. The analysis results showed that the height and velocity of the tsunami surge from the simulation for both dry and inundated channels approached the results from Chanson's solution. This indicates that a limited flume length can be used to simulate tsunami surges with the dam break method, and that simulations with initial inundation can simulate the waveforms of undular bore and fully developed bore.
COMPARISON OF ALGORITHM BETWEEN CLASSIFICATION & REGRESSION TREES AND SUPPORT VECTOR MACHINE IN DETERMINING STUDENT ACCEPTANCE IN STATE UNIVERSITIES M. Anwar Sadat; Pujiono, Pujiono; Pambudi, Anggun; Ibad, Sholihul
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.1565

Abstract

Higher education entrance selection activities are intended to obtain superior student candidates. The opportunity to take part in the selection is given to all high school graduate students and equivalent. The student entrance test at PTN consists of three types of selection routes, namely the SNMPTN or invitation route, the SBMPTN, and the independent examination held by state universities. Starting from the dataset, data selection was carried out from 143 students' data and 7 attribute selections were carried out using preprocessing using data transformation first. The aim of using data transformation is to simplify the data training process for MAN 1 students in Cirebon. Preprocessing for prediction of classification results, accuracy of testing data for 143 students is implemented in the program and the resulting calculation process will be more efficient. After going through the preprocessing stage, the data is divided into training data and testing data using 10-fold cross validation. Next, for the classification process, a comparison of two methods will be used, namely for the first method using CART, the second method using SVM by adding Gain ratio weighting. The results of the research show that in the first experiment the researcher carried out a comparative trial of cross validation and classification performance and used the CART and SVM algorithms. The results comparison using the CART algorithm gets an accuracy of 86.10% and the SVM algorithm method for classifying students entering PTN was 86.71%.
Optimizing Deep Learning Models with Custom ReLU for Breast Cancer Histopathology Image Classification Nugroho, Wahyu Adi; Supriyanto, Catur; Pujiono, Pujiono; Shidik, Guruh Fajar
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.12722

Abstract

Purpose: The prompt identification of breast cancer is crucial in preventing the considerable damage inflicted by this dangerous form of cancer, which is widely happened across the globe. This study seeks to refine the efficacy of a deep learning-driven approach for the precise diagnosis of breast cancer by employing diverse bespoke Rectified Linear Units (ReLU) to improve the model's performance and reduce inaccuracies within the system. Method: This study focuses on analyzing a deep learning approach utilizing the BreakHis dataset with 7,909 images, incorporating changes to the ReLU activation function across different pre-trained CNN models. It then evaluates performance through measurement such as accuracy, precision, recall, and F1-Score. Result: Based on our experiment results, it can be shown that the DenseNet201 models with a custom LeakyReLU excel beyond the typical ReLU, achieving the highest accuracy, recall, and F1-Score at 99.21%, 99.21%, and 99.11%, respectively. Simultaneously, ResNet152, utilizing LessNegativeReLU (α=0.05), achieved the highest precision at 99.11%. The VGG11 model exhibited the most notable performance enhancement, with improvements ranging from 1.39% to 1.59%. Novelty: The research is original in optimizing a model for accurate breast cancer diagnosis. The proposed model is superior to the model utilizing the default activation function. This finding indicates that the study significantly enhances performance while effectively minimizing errors, thereby necessitating further exploration into the effectiveness of the customized activation function when applied to other medical imaging modalities.
Hyperparameter Tuning Decision Tree and Recursive Feature Elimination Technique for Improved Chronic Kidney Disease Classification Saputra, Aries Gilang; Purwanto, Purwanto; Pujiono, Pujiono
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.12990

Abstract

Purpose: This study has the purpose of classifying patients with chronic kidney disease based on specific features and improving the classification models by tuning hyperparameters. This study aims to detect chronic kidney disease at an early stage. Methods: In this study, a machine learning classifier in the form of a decision tree is used to classify chronic kidney disease on the Risk Factor Prediction of Chronic Kidney Disease dataset. After that, the performance of the classifier model is improved by using feature selection, namely Recursive Feature Elimination and Hyperparameter tuning with GridSearchCV. Result: After tests were conducted 3 times namely testing with Decision Tree, Recursive Feature Elimination, and Hyperparameter tuning GridSearchCV which is the proposed method, then compared to other tests. The results from this study is using that method can improve the Decision Tree classifier in classifying chronic kidney disease patients. Novelty: Dataset that have been used in this study is from UCI machine learning repository namely Risk Factor Prediction of Chronic Kidney Disease that have 202 instances and 28 feature and after being processess and conducting test, Recursive Feature Elimination and Hyperparameter tuning GridSearchCV can improve the Decision Tree classifier in classifying chronic kidney disease.
Pendampingan Penyusunan Dokumen PSETK Desa Doda Kecamatan Lore Utara Kabupaten Poso Usuli, Sudarto; Kapuy, Holmes Rolandy; Pujiono, Pujiono; Mowidu, Ita; Wacana, Gitit I.P; Pandoyu, Ebelhart O.; Bangguna, David S.V.L
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol. 8 No. 1 (2024): April 2024
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j-abdipamas.v8i1.2296

Abstract

ABSTRACTWith the program from the government so that the Village Irrigation Areas in Indonesia compile the Institutional Engineering Socio-Economic Profile (PSETK). Not all of the irrigation areas in Poso Regency are involved in the PSETK program, one of the irrigation areas that received the PSETK program is the irrigation area of Doda village. Based on D.I Doda's search and analysis results, it is known that Doda irrigation has potential land and potential farmer resources that allow for a program to increase productivity of lowland rice farming. The Doda Irrigation only has one P3A. With an active performance of 51% - 75%, this condition shows that the institutions that have been formed have quite an active role in the development and management of agricultural irrigation systems. The administration, which is poorly recorded and organized, has not made a real contribution to the community's economy. Physically, the distribution channels and buildings in D. I Doda are generally structurally damaged but can still function. This happened because of the weak awareness of the farming community to work together to clean weeds which caused the existing condition of the channel and distribution building to be closed, thus disrupting the distribution of water to the rice fields.  ABSTRAKDengan adanya program dari pemerintah agar Daerah Irigasi Desa di Indonesia menyusun Profil Sosial Ekonomi Teknik Kelembagaan (PSETK). Daerah irigasi di Kabupaten Poso tidak semuanya terlibat dalam program PSETK tersebut, salah satu daerah irigasi yang menerima program PSETK adalah daerah irigasi desa Doda. Berdasarkan penyusuran D.I Doda dan hasil analisis diketahui bahwa irigasi Doda memiliki potensi lahan dan sumberdaya petani yang potensial yang memungkinkan untuk program peningkatan produktivitas usaha tani padi sawah. Daerah Irigasi Doda hanya mempunyai satu P3A. Dengan kinerja 51 % - 75% aktif, kondisi ini memperlihatkan kelembagaan yang sudah terbentuk cukup berperan aktif dalam pengembangan dan pengelolaan sistem irigasi pertanian. Administrasi yang kurang tercatat dan tertata, belum memberikan kontribusi nyata bagi ekonomi masyarakat. Secara fisik saluran dan bangunan distribusi yang ada di D. I Doda umumnya mengalami kerusakan struktur namun masih dapat berfungsi. Hal ini disebabkan lemahnya kesadaran masyarakat petani bergotong - royong membersihkan gulma yang menyebabkan kondisi eksisting saluran dan bangunan distribusi tertutup sehingga mengganggu distribusi air ke petak sawah. 
Co-Authors A.A. Ketut Agung Cahyawan W Abulebu, Henny I. Adhe Irham Thoriq Affandy Affandy Ahmad Zainul Fanani Aini, Triska Rahmatul Aisyaturrahmi Al Azhar, Cahya Mutiara Alik Katur Rofiah, Binti Alwani, Alwani Amiruddin , Amiruddin Andry Setiawan, Andry Anggun Pambudi Anugroho, Rohmat Aprila, Bord Nandre Arif Hidayat Arif Widagdo Asih Rohmani B. Pakpahan, Irnovia Bayu, Yoni Setyo Nugroho Budi Haryanto Budiono Budiono Busriyanti Busriyanti, Busriyanti Cantika Sari Siregar Catur Supriyanto Chamdan, Umar Chandra, Jennifer Chusnia, Vina Maulidah David S. V. L Bangguna Dedi Dedi Dewi Sulistianingsih Diah Restu Wardani Diah Restu Wardani Dian Anita Nuswantara Dianwicaksih Arieftiara E. Wuon, Orva Edi Noersasongko Eka Putri, Libryawati Eko Prasetyo Elanda Fikri Eni Wuryani Estu, Ahmad Zulkarnaen Eti Rimawati Etika Kartikadarma Fadhil, Azhar Fadrul, Fadrul Fadzil, Rozlinda Mohamed Fahmi Amiq Fatihul Barokah Firdaus, Gilbert Fitriya, Vina Syayidatul Fitriyani Fitriyani Fransisca, Luciana Fredy Susanto Freza Surya Asrina Guruh Fajar Shidik Hariyati Hariyati Haryati Haryati Herdhianta, Dhimas Heri Susanto Hernawan Hadi Heru Agus Santoso Hidayat, Rendra Syarief Holmes Rolandy Kapuy Ibad, Sholihul Iin Purnamasari Imam Bukori Indriani, Azizah Defi Irianti, Lingga Resvita Irma Cahyaningtyas, Irma Istiyanti, Istiyanti Ita Mowidu Iwan Hermawan Junaidi Junaidi Jutono Gondohanindijo, Jutono Kahar Kahar, Kahar Kasman Kasman Khoirul Anwar Kusharyanti Kusharyanti Lazuardi, Afried Lintang Venusita Lubis, Lubis Bambang Purnama M. Anwar Sadat M. Tangkeallo, Marthen Made Dudy Satyawan Mahazam Afrad Marita Marita, Marita Martitah Martitah Merlyana Dwinda Yanthi Mimelientesa Irman Moch Arief Soeleman Moch Arief Soeleman, Moch Arief Moch. Eko Rustiyono Mubarok, Ahmad Hasan Muchammad Shidqon Prabowo Muhamad Haris Zuhri Muhtarom Muljono Muljono Muljono, - Mursalim Mustajab Mustajab Nanik Prasetyoningsih Nasution, Khairina Ni Nyoman Alit Triani Nofriza, Eri Noor Ageng Setiyanto, Noor Ageng Nova Rijati Novida, Irma Novitriansyah, Bob Nurhayati Sitorus Nurhayati, Ati Nurtantio, Pulung NURUL HIDAYAH O. Pandoyu, Ebelhart Pandoyu, Ebelhart O Pandoyu, Ebelhart O. prabawa, randy aditya Pramana, Hendri Julian Pramitasari, Ratih Pratama, Arfian Nanda Yogi Pulung Nurtantio Andono Purwanto Purwanto Purwanto Purwanto Putra, S.E., MSA, Rediyanto Putra, Tegar Islami Putri, Yeni Nor Diana Putro, Bagus Prindo Sugihartono R Arief Nugroho Rahman, Fathor Rahman, Sarli Rangkuti, Rahmadsyah Ravindo, Besky Pramudya Rediyanto Putra Refky Fielnanda Rendra Arief Hidayat Retno Sunu Astuti Ridha Rahmawati Rini Fidiyani ROHMAWATI KUSUMANINGTIAS Romi Ilham, Romi Roy Aprianto, Roy Sahbar, Robi Sahninda, Berian Putra Saputra, Aries Gilang Sari Ayu Wulandari Septian Enggar Sukmana Setiawan, Dicky Setyawan, Onny Sifai, Izzatul Alifah Siti Muslifah, Siti Slamet Sumarto Soeleman, Arief Soeleman, M Arief Solichul Huda Somad, Agus Sri Astuti Sri Slamet Mulyati, Sri Slamet Sudarto Usuli SUGIARTO, LAGA Sugiarto, Triga Agus Sugito - Suharnawi Suharnawi Suharnawi Syahputra, Hidayat Syaiful A. Septemuryantoro Tangkeallo, Marthen M. Teguh Budi Prijanto, Teguh Budi Ujang Nurjaman, Ujang Ulum, Nafi' Fahrur Wacana, Gitit I.P Wahyu Adi Nugroho Wahyudi, Payzar Wicaksono, Duta Firdaus Widianto, Dhoni WIJAYANTO WIJAYANTO Wuryantoro, Tri Yetri Hasan Yolanda, Oppie Yudistira, Ivan Bhakti Yuli Prasetyo Adhi Yuliana, Dhea Arsinta Yundari, Yundari Yusrizal Yusrizal