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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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Marriage Law Reform in Indonesia A Maqasid al-Usrah Perspective on Legal Adaptation Busriyanti, Busriyanti; Pujiono, Pujiono; Mursalim; Chamdan, Umar
AL-ISTINBATH : Jurnal Hukum Islam Vol 10 No 2 (2025)
Publisher : Institut Agama Islam Negeri Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/jhi.v10i2.12739

Abstract

This study explores the reform of Indonesian marriage law through the lens of maqasid al-usrah, the family-centered objectives within Islamic legal theory. It critically assesses whether key legal reforms such as marriage registration, minimum age requirements, regulation of divorce, and prenuptial asset arrangements align with the ethical aims of Islamic family law, including the protection of lineage, dignity, justice, and family welfare. Employing a qualitative library research method, the paper draws on classical Islamic jurisprudence, statutory legal documents, court practices, and the analytical framework of Jamaluddin al-Athiyya. It finds that while Indonesian legislation increasingly incorporates maslahah (public benefit) and maqasid reasoning to justify reforms, the implementation often falls short due to bureaucratic barriers, legal pluralism, and social inequality. For instance, minimum age laws are undermined by widespread judicial dispensations, and formal protections for women are diluted by enduring patriarchal norms and unequal access to justice. The study argues that maqasid al-usrah has been invoked more as a justificatory narrative than as a fully operational legal method. It concludes that meaningful application of maqasid requires not only legal reform but also structural, procedural, and cultural transformation to ensure that laws genuinely promote justice, protect the vulnerable, and reflect the dynamic needs of Indonesian Muslim society. This research contributes to the growing discourse on maqasid-based legal reform and offers a practical framework for evaluating future policy developments in Islamic family law.
Analisis Kebutuhan Air Bersih Perumda Tirta Ogan Kabupaten Ogan Ilir Dan Perencanaan Jaringan Perpipaan Dengan Bantuan Perangkat Lunak Epanet 2.2 Anugroho, Rohmat; Sahbar, Robi; Pujiono, Pujiono
Jurnal Multidisiplin Dehasen (MUDE) Vol 4 No 4 (2025): Oktober
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v4i4.9343

Abstract

The need for clean water as a primary requirement for survival demands effective management in terms of the volume and standard of water that can be used. The clean water needs assessment plan was designed using a case study approach, taking into account population projections and estimated water consumption in Ogan Ilir Regency until 2034. Basic and additional data collection is one of the methods used, as is population estimation through the application of geometric and arithmetic methodologies. The arithmetic approach estimates the need for clean water at 45,035,981 m³/day (WHO), 19,815,831 m³/day (PUPR), and 21,617,271 m³/day (SNI) based on a projected population of 496,071 people in 2034; The geometric approach estimates the clean water requirement at 45,266,478 m³/day (WHO), 19,917,250 m³/day (PUPR), and 21,727,909 m³/day (SNI). By using EPANET 2.2 software, which can simulate the hydraulic system of clean The assessment of water distribution and the performance of the pipeline design is reinforced through a technical analysis of the distribution system
Pendampingan dan Pelatihan Deteksi Dini Stunting Melalui Integrasi Aplikasi WhatsApp Auto Responding (WAR) di Posyandu Toto Maju Desa Kacangan Nugroho, Bayu Yoni Setyo; Sifai, Izzatul Alifah; Pujiono, Pujiono; Pramitasari, Ratih
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.642

Abstract

Stunting merupakan permasalahan kesehatan masyarakat prioritas nasional yang disebabkan kekurangan gizi kronis sejak masa kehamilan hingga usia dua tahun pertama kehidupan. Kader posyandu sebagai garda terdepan pelayanan kesehatan di tingkat desa memiliki peran strategis dalam deteksi dini stunting, namun masih menghadapi kendala berupa keterbatasan pengetahuan, teknik pengukuran yang kurang tepat, dan sistem pencatatan manual yang tidak efisien. Perkembangan teknologi digital memberikan peluang untuk meningkatkan efektivitas kerja kader melalui aplikasi berbasis teknologi informasi. Survei awal di Desa Kacangan menunjukkan kader Posyandu Toto Maju memiliki pengetahuan terbatas tentang stunting dan masih menggunakan sistem pencatatan manual yang rentan kesalahan. Tujuan kegiatan ini adalah meningkatkan pengetahuan dan keterampilan kader posyandu dalam deteksi dini stunting serta memperkenalkan aplikasi WhatsApp Auto Responding (WAR) sebagai alat bantu monitoring kesehatan anak. Metode pelaksanaan berupa pelatihan kepada 12 kader posyandu dan 1 bidan desa pada 15 Oktober 2025 di Balai Desa Kacangan dengan materi meliputi pemahaman dasar stunting, pengenalan aplikasi WAR, dan praktik penggunaan aplikasi. Hasil menunjukkan peningkatan signifikan pemahaman kader tentang stunting, penyebab multifaktorial, dan dampak jangka panjang. Kader berhasil menguasai penggunaan aplikasi WAR untuk input data, perhitungan otomatis status gizi, sistem alert, dan pelaporan berkala. Persepsi kader terhadap aplikasi sangat positif dengan niat tinggi untuk mengimplementasikan dalam praktik sehari-hari. Kesimpulan menunjukkan pelatihan berhasil meningkatkan kapasitas kader dalam deteksi dini stunting dan adopsi teknologi digital diharapkan meningkatkan efektivitas program pencegahan stunting di tingkat desa.
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%.
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.
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