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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 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 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 Jurnal Ilmu Manajemen dan Akuntansi Terapan Social, Humanities, and Educational Studies (SHEs): Conference Series 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) IJOIS: Indonesian Journal of Islamic Studies 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) 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 Journal of Law and Legal Reform Scientific Journal of Informatics 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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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. 
Klasifikasi Berita Televisi Menggunakan Metode K-NN, Naïve Bayes dan SVM Wuryantoro, Tri; Muljono, Muljono; Pujiono, Pujiono
JURNAL RISET KOMPUTER (JURIKOM) Vol. 11 No. 6 (2024): Desember 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i6.8420

Abstract

News through television media is still one of the media that is widely used by the public in obtaining the latest information. The Central Java TVRI Public Broadcasting Institution has a news program called Berita Jawa Tengah which airs every day and  doesn’t have a classification system. This research was carried out in several stages, in the initial stage preprocessing was carried out which included: data collection, cleaning, case folding, tokenizing, normalization, stopword removal, stemming, then continued with word weighting (TF-IDF) and finally applying the K-Nearest Neighbor classification method (K-NN), Naïve Bayes and Support Vector Machine (SVM). The results of the classification carried out show that the K-NN classification method has higher results compared to other methods, namely an Accuracy value of 0.94, Precision 0.92, Recall 0.94 and f1-score 0.93, so it can be concluded that Television news classification using the K-NN method is the method that provides the most accurate results.
PREDICTING OF BREAST CANCER RISK USING MACHINE LEARNING WITH FEATURE SELECTION THROUGH XGBOOST Al Azhar, Cahya Mutiara; Pujiono, Pujiono
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 2 (2025): Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3661

Abstract

Abstract: Breast cancer is the leading cause of death for women globally, exacerbated by late detection. This study proposes a breast cancer risk prediction framework using XGBoost with SelectKBest feature selection. It aims to improve the accuracy and efficiency of early detection through exploratory data analysis, coding, SMOTE to address class imbalance, and feature selection (k=29). As a result, the XGBoost model achieved 98.1% accuracy, 98.1% recall, 98.1% f1-score, and 98.2% precision on test data, highlighting the importance of feature selection. These results are promising in patient prioritization (triage) for further examination, helping medical personnel identify high-risk patients, thus improving resource allocation efficiency. These findings validate SelectKBest and pave the way for the development of a machine learning-based clinical decision support system for breast cancer early detection workflows. This research contributes significantly to the application of machine learning to support early breast cancer detection.            Keywords: breast cancer; feature selection; machine learning; risk prediction; XGBOOST.  Abstrak: Kanker payudara menjadi penyebab utama kematian wanita global, diperparah deteksi yang terlambat. Penelitian ini mengusulkan kerangka prediksi risiko kanker payudara menggunakan XGBoost dengan seleksi fitur SelectKBest. Tujuannya meningkatkan akurasi dan efisiensi deteksi dini melalui analisis data eksploratif, pengkodean, SMOTE untuk mengatasi ketidakseimbangan kelas, dan seleksi fitur (k=29). Hasilnya, model XGBoost mencapai akurasi 98.1%, recall 98.1%, f1-score 98.1%, dan presisi 98.2% pada data uji, menyoroti pentingnya seleksi fitur. Hasil ini menjanjikan dalam penentuan prioritas pasien (triage) untuk pemeriksaan lebih lanjut, membantu tenaga medis mengidentifikasi pasien berisiko tinggi, sehingga meningkatkan efisiensi alokasi sumber daya. Temuan ini memvalidasi SelectKBest dan membuka jalan bagi pengembangan sistem pendukung keputusan klinis berbasis machine learning untuk alur kerja deteksi dini kanker payudara. Penelitian ini berkontribusi signifikan dalam penerapan machine learning untuk mendukung deteksi dini kanker payudara. Kata kunci: kanker payudara; pembelajaran mesin; prediksi risiko ; seleksi fitur; XGBOOST. 
Enhancing Low-Resolution Images of Mustard Leaves Affected by Pests with Thermal Sensor using Super-Resolution Convolutional Neural Network Optimization Susanto, Fredy; Nurtantio, Pulung; Soeleman, Arief; Pujiono, Pujiono; Noersasongko, Edi; Dedi, Dedi
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2841

Abstract

With urban areas facing limited agricultural land, hydroponic systems offer a solution to increase food storage and variety. Hydroponics, a farming technique that relies on water as a growing medium rather than soil, provides essential nutrients and oxygen for plants. This paper explores the use of thermal sensors to capture images of mustard leaves in a hydroponic system. In addition, it also explores thermal sensor images. These images are analyzed to detect pest attacks, with red leaves indicating the presence of pests and green/blue leaves unaffected by pests. These pests emit hot air; consequently, they turn red. The method of increasing resolution is to compare the Long Short-Term Memory (LSTM) algorithm with the Super-Resolution Convolutional Neural Network (SR-CNN) to improve the quality of images obtained from low-resolution sensors (AMG8833/Grid-EYE). The results show that the SR-CNN method is better than the LSTM (Long Short-Term Memory) method, although limitations remain due to the sensor resolution. After conducting the research, it could be observed that using LSTM resulted in a Mean Square Error (MSE) value of 0.001551685, while SR-CNN indicated an MSE value of 8.873. Furthermore, LSTM produces a Peak Signal-to-Noise Ratio (PSNR) value of 37.10797726, whereas SR-CNN achieves a PSNR of 39.199. The accuracy rates (SSIM) for LSTM and SR-CNN are 0.991538522961364 and 0.997747, respectively. These findings show that using the SR-CNN algorithm can effectively improve the quality of images produced by thermal sensors, even though the sensor pixel capacity is limited.
KEEFEKTIFAN PERMAINAN ENGKLEK UNTUK MENINGKATKAN FISIK MOTORIK ANAK KELOMPOK B DI TK MEKAR SARI KANDEMAN BATANG Pujiono, Pujiono; Purnamasari, Iin; Muhtarom, Muhtarom
MAJALAH LONTAR Vol 34, No 2 (2022): Majalah Lontar
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/ltr.v34i2.12966

Abstract

Permainan engklek sebenarnya mempunyai karakteristik yang berdampak positif pada perkembangan anak. Permainan engklek dikenal sebagai permainan rakyat yang sangat dekat dengan dunia anak-anak. Permainan engklek dapat melatih gerakan motorik kasar bisa dilakukan, misalnya melatih anak berdiri di atas satu kaki. Penelitian ini dilaksanakan di TK Mekar Sari Kandeman Kabupaten Batang. Tujuan dari penelitian ini bertujuan untuk mengetahui keefektifan permainan engklek untuk meningkatkan fisik motorik anak kelompok B di TK Mekar Sari Kandeman Batang dan mengetahui respon anak-anak kelompok B di TK Mekar Sari terhadap permainan engklek. Desain yang digunakan dalam penelitian ini adalah desain Pretest-Posttest Control Group Design. Populasi dalam penelitian ini adalah peserta didik kelompok B TK Mekar Sari Kandeman Kab. Batang. Sampel dari penelitian berjumlah 32 responden. Permainan engklek dilakukan 14 kali dalam 1 bulan, penilaian perkembangan fisik motorik sebelum dan sesudah menggunakan Uji t-test pada taraf signifikansi 95% (α = 0,05). Hasil studi apakah motorik memiliki perbedaan setelah dan sebelum permainan tradisional, dengan nilai p 0,000 α-0,05. Kesimpulan: Ada pengaruh permainan engklek terhadap perkembangan fisik motorik anak. Saran: Bagi guru; agar dapat menggunakan permainan tardisional engklek dalam proses belajar mengajar yang dapat meningkatkan perkembangan fisik motorik anak.
ELECTIONS FOR SALE: THE SHORTCOMINGS OF INDONESIA'S ELECTION LAW IN PREVENTING VOTE-BUYING AND ENSURING FAIR PLAY Pujiono, Pujiono; Prasetyoningsih, Nanik
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 8 (2024): July
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i8.2296

Abstract

This article examines the implications of addressing vote-buying in Indonesia for the future of democracy in the country. Vote-buying undermines democratic institutions, erodes public trust, and hampers citizen participation in the electoral process. By effectively tackling this issue, Indonesia can strengthen its democratic institutions, restore public confidence, and increase citizen engagement. Additionally, addressing vote-buying promotes fair political competition, ensures better representation, strengthens the rule of law, and enhances Indonesia's international reputation as a vibrant democracy. Overall, addressing vote-buying holds significant implications for the future of democracy in Indonesia, promoting transparency, accountability, and a vibrant democratic society.
FORMULATION OF LEGAL PROVISIONS PROHIBITING MONEY POLITICS IN ELECTIONS: TOWARDS HONEST AND FAIR ELECTIONS Pujiono, Pujiono; Prasetyoningsih, Nanik
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 9 (2024): August
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i9.2316

Abstract

The formulation of legal provisions prohibiting money politics in elections is a crucial step towards creating honest and fair elections. We must comprehend the boundaries of money politics, the kinds of actions that fall under its purview, and the efficacy of the penalties we can apply to those who violate them. In the context of elections, money politics refers to the practice or phenomenon where individuals use money as a tool to influence or win the outcome of an election. One of the main influences of money politics is to turn the election process into a vote-buying event, where voters who receive money or other material gifts tend to vote for candidates who offer these rewards, not based on ideological considerations or actual candidate qualifications. In Indonesia, the use of money politics in election practices has become a serious concern in society. Despite the prevalence of money crimes in elections, many remain unarrested and unpunished. The need for legal reform emphasizes the importance of strong legal and enforcement mechanisms to combat money politics. To prohibit the practice of money politics, there needs to be firmer and more effective legal provisions.
Bantengan Sebagai Identitas Budaya dan Sumber Pendapatan Alternatif Bagi Masyarakat Singosari Anwar, Khoirul; Pujiono, Pujiono
Proceedings of Annual Conference for Muslim Scholars Vol 9 No 1 (2025): AnCoMS, Oktober 2025
Publisher : Koordinatorat Perguruan Tinggi Keagamaan Islam Swasta Wilayah IV Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36835/ancoms.v9i1.723

Abstract

This study examines the Bantengan performance in Singosari, Malang, positioned as both a vital cultural heritage and a strategic economic asset for the local community. The research explores how Bantengan serves as a cultural identity marker while functioning as an alternative income source that bolsters the creative economy and community-based tourism. Adopting a qualitative ethnographic economics approach, the study utilizes participant observation, in-depth interviews, and visual documentation involving art communities, MSME practitioners, traditional leaders, and local youth. The findings reveal that Bantengan operates through a dual function: primarily as a medium for preserving cultural values, social solidarity, and communal cooperation (gotong royong); and secondarily as an economic driver through the production of costumes, souvenirs, artistic training, and integration into the tourism sector. Despite its potential, the tradition faces significant hurdles, including limited resources and a lack of professional managerial training. The study concludes that Bantengan transcends its role as a symbolic cultural identity for the Singosari people, representing a strategic catalyst for inclusive, participatory, and sustainable local economic development.
Pengaruh Gaya Kepemimpinan, Budaya Organisasi, dan Motivasi Terhadap Kepuasan Kerja Bendahara Pengeluaran Pembantu Di Universitas Ptnbh Ulum, Nafi' Fahrur; Nuswantara, Dian Anita; Pujiono, Pujiono
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 1 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i1.5398

Abstract

This study aims to analyze the influence of leadership style, organizational culture, and motivation on the job satisfaction of assistant expenditure treasurers at PTNBH University. The research method used is quantitative with a survey approach. The research sample consisted of 120 respondents selected using a purposive sampling technique. The research instrument was a questionnaire with a five-point Likert scale, which was tested for validity and reliability before use. Data were analyzed using multiple linear regression methods. The results of the study indicate that (1) leadership style has a positive and significant effect on job satisfaction; (2) organizational culture has a positive effect on job satisfaction; and (3) motivation has a significant effect on job satisfaction. Simultaneously, these three independent variables contribute significantly to the job satisfaction of assistant expenditure treasurers. These findings emphasize the importance of participatory leadership practices, strengthening organizational culture, and motivation-enhancing strategies in creating job satisfaction for administrative employees in the PTNBH environment.
Methodology For Determining The Quality Of Hadith Nashiruddin Al-Albani (Analysis Of The Book Silsilat Al-Ahadits Al-Shahihah And Silsilat Al-Ahadits Al-Dha'ifah) Fadhil, Azhar; Kasman, Kasman; Pujiono, Pujiono
International Journal of Educational Research & Social Sciences Vol. 4 No. 4 (2023): August 2023
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v4i4.704

Abstract

The authenticity of the hadith is not the same as the authenticity of the al-Qur’an, where the al-Qur’an itself has received justification directly from Allah Ta'ala. In contrast to the hadith which requires quite a lot of research to see how the quality of the hadith is from both the sanad and the matan. There have been many hadith scientists who have tried to organize various methods of maintaining the existence of the hadith itself. Among the many scientists, al-Albani is one of them who has devoted himself to studying the applicable concepts in the study of hadith science. As a person who loves hadiths, al-Albani does not just accept the hadiths he reads even though these hadiths have been researched beforehand. It was this caution that made al-Albani develop his own method, although it cannot be denied that the method used by al-Albani was not much different from the methods of previous scholars.
Co-Authors A.A. Ketut Agung Cahyawan W Abulebu, Henny I. Adhe Irham Thoriq Affandy Affandy Afried lazuardi Ahmad Zainul Fanani Aisyaturrahmi Al Azhar, Cahya Mutiara Alik Katur Rofiah, Binti Alwani, Alwani Amin, Amirudin M Amiruddin , Amiruddin Andresen, Wily Andry Setiawan, Andry Anggun Pambudi Anton Anton 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 E. Wuon, Orva Edi Noersasongko Eka Putri, Libryawati Eko Prasetyo Elanda Fikri Estu, Ahmad Zulkarnaen Estu, Ahmad Zulkarnain Eti Rimawati Etika Kartikadarma Fadhil, Azhar Fadrul, Fadrul Fadzil, Rozlinda Mohamed Fahmi Amiq Fathurrozi, Adi Fatihul Barokah Firdaus, Gilbert Firdaus, Gusti Aditya Aromatica Firdaus, Iqbal Fitriyani Fitriyani Fransisca, Luciana Fredy Susanto Freza Surya Asrina Friska, Yuni Guruh Fajar Shidik Hadi, Syukri Harry Patuan Panjaitan Haryati Haryati Herdhianta, Dhimas Hernawan Hadi Heru Agus Santoso Hidayat, Rendra Syarief Holmes Rolandy Kapuy Ibad, Sholihul Iin Purnamasari Imam Bukori Irianti, Lingga Resvita Irma Cahyaningtyas, Irma Ita Mowidu Junaidi Junaidi Jutono Gondohanindijo Kahar Kahar, Kahar Kasman Kasman Khoirul Anwar Lintang Venusita Lubis, Lubis Bambang Purnama M. Anwar Sadat M. Tangkeallo, Marthen Made Dudy Satyawan Mahazam Afrad Maisarah, Hj. 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 Nanik Prasetyoningsih Nasution, Khairina Noor Ageng Setiyanto, Noor Ageng Nova Rijati Novitriansyah, Bob Nurhayati Sitorus Nurhuda, Yeni Agus Nurtantio, Pulung NURUL HIDAYAH O. Pandoyu, Ebelhart Onny Setyawan 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 Putro, Bagus Prindo Sugihartono R Arief Nugroho Rahman, Fathor Rahman, Sarli Rangkuti, Rahmadsyah Ravindo, Besky Pramudya Rediyanto Putra Rendra Arief Hidayat Retno Sunu Astuti Ridha Rahmawati Rini Fidiyani ROHMAWATI KUSUMANINGTIAS Romi Ilham, Romi Roy Aprianto, Roy Rusilawati, Ermina Sa'ada, Sri Lum'atus Sahbar, Robi Sahninda, Berian Putra Saputra, Aries Gilang Sari Ayu Wulandari Septian Enggar Sukmana Setiawan, Dicky Sifai, Izzatul Alifah Siti Muslifah Soeleman, Arief Soeleman, M Arief Soeleman, M. Arief Solichul Huda Somad, Agus Sri Slamet Mulyati, Sri Slamet Sudarto Usuli SUGIARTO, LAGA Sugiarto, Triga Agus Sugito - Suharnawi Suharnawi Suharnawi Swanto, Dominicus Josephus Syahputra, Hidayat Syaiful A. Septemuryantoro Tang, Wilson Tangkeallo, Marthen M. Teguh Budi Prijanto, Teguh Budi Ujang Nurjaman, Ujang Ulum, Nafi' Fahrur Urfiyati, Novia 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 Yundari, Yundari