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Priyono Priyono
Department Of Physics, Faculty Of Sciences And Mathematics, Diponegoro University
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Evaluasi Program Padat Karya Tunai Desa di Desa Gayam Kecamatan Gayam Kabupaten Bojonegoro Priyono, Priyono; Hidayat, Kliwon; Asmara, Rosihan
SOCIETAS Vol 13 No 2 (2024): Societas: Jurnal Ilmu Administrasi Dan Sosial
Publisher : Universitas Musamus, Merauke, Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/sjias.v13i2.6076

Abstract

This research aims to analyze the issues arising from the Cash for Work Village Program, researchers conducted a study to benefit stakeholders. This research utilizes a Mixed Methods approach by combining both quantitative and qualitative methods. The research employs purposive sampling, a technique that involves selecting research subjects based on specific criteria, not randomly, with the aim of obtaining samples relevant to the research objectives. Data collection techniques include questionnaires, interviews, observations, and documentation. The implementation of the Village Cash For Work Village Program in this study goes through several stages, namely the Planning Stage, which is the most important stage in the implementation of the PKTD Program in Gayam Village. This involves the preparation of the Village Government Work Plan (RKP), which itself goes through several stages: 1) Village Meeting for Development Planning (PPD) Team Meeting for Planning, 2) Measurement of Construction Sites, and Preparation of the Budget Plan for all Activities 3) Development Planning Meeting (Musrenbang) 4) Village Meeting for the Establishment of the Village Government Work Plan. Subsequently, the implementation stage takes place in April and May. Involvement of poor and marginalized families: based on the participation of heads of households and family members, 30 respondents participated, representing 42.85%, while 40 respondents did not participate in the program, representing 57.15%.
Produksi Bioetanol dari Nira Lontar dan Pengaruh Campurannya Dengan Premium Terhadap Torsi dan Daya Pada Sepeda Motor Fahrizal, Fahrizal; K, Basri; Suprapto, Edy; Manesi, Damianus; Priyono, Priyono; Jasman, Jasman
Majamecha Vol. 6 No. 2 (2024): Majamecha
Publisher : Program Studi Teknik Mesin, Fakultas Teknik, Universitas Islam Majapahit, Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamecha.v6i2.3472

Abstract

Kebutuhan bahan bakar minyak fosil terus mengalami peningkatan seiring pertumbuhan jumlah kendaraan bermotor. Oleh karena itu perlu diupayakan pencarian sumber bahan bakar alternatif terutama yang berasal dari biomassa karena sifatnya dapat diperbarui dan lebih ramah terhadap lingkungan. Bioetanol yang berasal dari tanaman lontar (Borassus flabellifer) merupakan salah satu solusi untuk menjawab kebutuhan bahan bakar alternatif tersebut. Tujuan penelitian ini adalah membuat bioetanol dari nira lontar sesuai grade untuk bahan bakar, mendapatkan data hasil pengukuran torsi dan daya sepeda motor 4 langkah menggunakan bahan bakar campuran premium-bioetanol dalam berbagai perbandingan konsentrasi dan mendapatkan perbandingan konsentrasi optimal yang menghasilkan torsi dan daya mesin maksimal. Penelitian dilakukan di Laboratorium Pendidikan Kimia dan Laboratorium Pendidikan Teknik Mesin FKIP Undana. Instrumen penelitian berupa pedoman pembuatan bioetanol, pedoman pengujian kinerja mesin, dan lembar hasil pengujian. Pengumpulan data menggunakan eksperimen atau pengujian di laboratorium guna diperoleh angka putaran mesin, torsi dan daya mesin. Data yang diperoleh kemudian dianalisis menggunakan metode deskriptif. Hasil penelitian didapatkan bahwa torsi dan daya mesin meningkat seiring peningkatan angka putaran mesin serta perbandingan konsentrasi 30% menghasilkan torsi dan daya maksimal.
Prediction of Heart Disease Using K-Nearest Neighbor and Particle Swarm Optimization Algorithm Saputra, Elin Panca; Saryoko, Andi; Kusumo, Aryo Tunjung; Priyono, Priyono
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.33373

Abstract

One of the leading causes of death nowadays is heart disease, so more has to be done to avoid it, such as by making prediction models work better. Among the machine learning algorithms is K-Nearest Neighbor (K-NN) is among the best methods for predicting heart disease based on several risk factors, including smoking, high blood pressure, diabetes, age, and so on. To get accurate values and attribute selection features, we tested them with K-NN, and to improve the results of our research predictions, we combined them using the Particle Swarm Optimization (PSO) algorithm. The results are very interesting after we do the calculations, the algorithm that uses PSO-based K-NN gets a higher weight compared to using only the K-NN algorithm. The predicted value of the weight resulting from the PSO-based K-NN is 97.67%. while the results only use K-NN of 64.92%. The advantages of PSO can also select attributes that can affect it, namely age, diabetes, and ejection fraction. So gathering information through data mining. The PSO-Based K-NN method, which is the primary machine learning technique used in this computation, yields the greatest results in terms of accuracy for heart disease when applied to the data assets. Using the K-NN - PSO algorithm can provide promising results for predicting symptoms that cause heart disease with very good accuracy. PSO is Used to choose features and optimize k values on the K-NN dataset, after which the accuracy is output on the K-NN.
APPLICATION OF PARTICLE SWARM OPTIMIZATION SUPPORT VECTOR MACHINE FOR ELECTRICAL INSTALLATION CERTIFICATION PREDICTION Priyono, Priyono; Panca Saputra, Elin; Suswandi, Suswandi; Rahman, Taufik
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 2 (2025): Maret 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3418

Abstract

Abstract: Feature selection is a crucial process that is very important to improve the performance of machine learning models, in accordance with data preprocessing. The feature selection process can be considered as a global combinatorial optimization problem in machine learning, which reduces the number of features, eliminates irrelevant data, and produces acceptable classification accuracy. The purpose of this study is to predict or determine the results of the electrical installation operation feasibility test based on data and obtain attribute selection features, and obtain accuracy level results. The Particle Swarm Optimization (PSO) approach is used to select the right characteristics to determine the results of the electrical installation operation feasibility test because attribute selection is needed in data analysis, because the PSO method will increase accuracy than just SVM in determining attribute selection. If SVM is used with PSO, the accuracy value is 96% and AUC is 0.994%, while the SVM method produces an accuracy level of 94.89% and AUC of 0.994%. With this finding, the accuracy value increases by 2%, making it a very good categorization category. It has been proven that the use of Particle Swarm Optimization (PSO) based algorithms can improve and improve results.            Keywords: PSO; SVM; Certification Abstrak: Pemilihan fitur merupakan proses krusial yang sangat penting untuk meningkatkan kinerja model machine learning, sesuai dengan praproses data. Proses pemilihan fitur dapat dianggap sebagai masalah optimasi kombinatorial global dalam pembelajaran mesin, yang mengurangi jumlah fitur, menghilangkan data yang tidak relevan, dan menghasilkan akurasi klasifikasi yang dapat diterima. Tujuan dari penelitian ini adalah untuk memprediksi atau menentukan hasil uji kelayakan operasi instalasi listrik berdasarkan data dan memperoleh fitur pemilihan atribut, serta memperoleh hasil tingkat akurasi. Pendekatan Particle Swarm Optimization (PSO) digunakan untuk memilih karakteristik yang tepat untuk menentukan hasil uji kelayakan operasi instalasi listrik karena pemilihan atribut diperlukan dalam analisis data, karena metode PSO akan meningkatkan akurasi dari pada hanya SVM dalam menentukan pemilihan atribut. Jika SVM digunakan dengan PSO, nilai akurasinya adalah 96% dan AUC sebesar 0,994%, sedangkan metode SVM menghasilkan tingkat akurasi sebesar 94,89% dan AUC sebesar 0,994%. Dengan temuan ini, nilai akurasi meningkat sebesar 2%, menjadikannya kategori kategorisasi yang sangat baik. Telah terbukti bahwa penggunaan algoritma berbasis Particle Swarm Optimization (PSO) dapat meningkatkan dan memperbaiki hasil. Kata kunci: PSO; SVM; Sertifikasi 
ANALISIS FRAMING BERITA HARIAN UMUM SOLOPOS TENTANG KESETARAAN KAUM DIFABEL PERIODE JANUARI-MARET 2012 PRIYONO, PRIYONO
JURNAL KOMUNITAS Vol. 3 No. 1 (2014): Jurnal Komunitas
Publisher : Prodi Ilmu Komunikasi Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research based on the author interest to issue equity interest. In real life there are many disability rights are not guaranteed to materialize despite a state regulation. While the role of the mass media or newspapers are still not optimal to voice disabilities equal rights as other citizens according to their needs. Object of this study is the Solopos news about the equality of disabled published during the period January to March 2012. Researched news are six items. The research aims to determine the framing of Solopos daily about disability equality. The research use framing analysis method with the analysis of Zhodang Pan and Gerald M. Kosicki. News that has been obtained in the data collection were analyzed by framing device of Pan Kosicki consisting of four major structures, namely syntax, script, thematic and rhetorical. Analysis results were then compared with the data results of interviews with the managing editor, desk editor and field reporter. The results showed Solopos view disabilities as an important issue. Disabled people deemed equal rights with other citizens according to their needs. Everything related disabilities equality rights have protrusion certain aspects such as the appearance of the dominant issues of disability equality and equality assertion supported sources in Solopos coverage.
PENGARUH KONSENTRASI PUPUK LIMBAH CAIR CUCIAN BERAS DAN DOSIS PUPUK KASCING TERHADAP PERTUMBUHAN DAN HASIL TANAMAN MENTIMUN (Cucumis sativus L.) Fatur, Tiyo; Priyono, Priyono; Bahri, Saiful
Fruitset Sains : Jurnal Pertanian Agroteknologi Vol. 13 No. 1 (2025): April: Ilmu Pertanian dan Bidang Terkait
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/fruitset.v13i1.6196

Abstract

Effect of concentration of liquid waste from rice washing and dose of vermicompost fertilizer on growth and yield of cucumber (Cucumis sativus L.). Cucumber is one of the annual plants that are creeping or creeping which is included in the pumpkin family (Cucurbitaceae). This research have been conducted on January 8th 2025 until February 25th 2025 in Gabugan village, Tanon Subdistrik, Sragen regency, at Grumosol soil type with the place hight 110 meters above the sea level. The purpose of the study was to determine the effect of concentration of liquid waste from rice washing and dose of vermicompost fertilizer on growth and yield of cucumber (Cucumis sativus L.) plants. The experimental design used was a completely randomized block design (CRBD), consisted of two treatment and three replications. The first factor were concentration of liquid waste from rice washing (K), consisted of three level (K0 = 0 ml/l, K1 = 36 ml/l and K2 = 72 ml/l). The second factor were dose of vermicompost fertilizer (D) consisted of three level (D0 = 0 ton/ha, D1 = 15 ton/ha and D2 = 30 ton/ha). The provision of liquid waste fertilizer from rice washing, there was a significant effect on plant length, fresh weight of stover, dry weight of stover, number of fruit per plant, weight of fruit per plant and weight of fruit per plot. The application of liquid rice washing waste fertilizer at a concentration of 36 ml/l to 72 ml/l resulted in an increase in the growth and yield of cucumber plants. The provision of vermicompost fertilizer has a significant effect on plant length, fresh weight of stover, dry weight of stover, number of fruit per plant, weight of fruit per plant and weight of fruit per plot. The application of vermicompost fertilizer at a dose of 15 tons/ha up to a dose of 30 tons/ha, the growth and yield of cucumber plants still increased. The combination of liquid waste concentration from washing rice and the dose of vermicompost fertilizer did not have a significant interaction with plant length, fresh weight of stover, dry weight of stover, number of fruit per plant, weight of fruit per plant and weight of fruit per plot. Application of liquid rice washing waste fertilizer at a concentration of 72 ml/l and vermicompost at a dose of 30 tons/ha, the weight of fruit per plot is 28,20 kg/ha, cucumber plants still experience a positive response.
Application of the Technological Acceptance Model(TAM) Approach to the Influence of Public Perceptions Using Digital Wallets Saputra, Elin Panca; Saputro, Achmat Yulyadi; Priyono, Priyono; Kusumo, Aryo Tunjung; Rahman, Taufik
Telematika Vol 21 No 1 (2024): Edisi Pertama 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.12083

Abstract

Purpose: This research aims to conduct a study of the perceptions of digital wallet users and how users' reactions influence the benefits of digital wallets in the big city of JakartaDesign/methodology/approach: The research method applied is a quantitative method. The population of this research is digital wallet users in the city of Jakarta. The number of samples applied was 121 respondents according to the purposeful sampling method. The data testing methods applied are convergent validity, discriminant validity, composite reliability and Cronbanch alpha. Data calculations apply Smart PLS 3 software. The results of this study show that trust and perceived risk do not influence user preferences for using digital walletsFindings/result: The results of this research constantly support a number of previous studies related to TAM where perceived usefulness and perceived ease of use play a direct and indirect role in interest in using digital wallets. So the community's perceived usefulness is a variable that has a prominent influence on the preferences of digital wallet users in the city of Jakarta.Originality/value/state of the art: The steps taken from the start of the study to its conclusion were designed to use the TAM approach to determine how the public felt about this particular study. This study uses quantitative research methods and yields two models: an inner model, or structural model, that includes path analysis through Smart PLS 3 data analysis, and an outer model, or measurement model, that includes composite reliability, conbranch alpha, discriminant validity, and convergent validity. 
Peningkatan Prestasi Belajar Siswa Menggunakan Metode Kooperatif Model Learning Together pada Siswa Kelas VII Semester 1Tahun Pelajaran 2019/2020 Priyono, Priyono
Jurnal Pembelajaran dan Riset Pendidikan Vol 3 No 3 (2023): Volume 3, Nomor 3, Juli 2023
Publisher : Lembaga Penelitian dan Pengabdian Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jprp.v3i3.1052

Abstract

Agar dapat mengajar efektif, guru harus meningkatkan kesempatan belajar bagi siswa (kuantitas) dan meningkatkan mutu (kualitas) mengajarnya, melibatkan siswa secara aktif alam belajar, menggunakan waktu pelajaran secara efektif serta serius saat mengajar sehingga dapat membangkitkan minat atau motivasi siswa untuk belajar. Makin banyak siswa terlibat aktif dalam belajar, makin tinggi kemungkinan prestasi belajar yang dicapainya. Dari hasil analis didapatkan bahwa prestasi belajar siswa mengalami peningkatan dari siklus I sampai siklus III yaitu, siklus I (60 %), siklus II (75 %), siklus III (90 %).Simpulan dari penelitian ini adalah metode kooperatif model Learning Together dapat berpengaruh positif terhadap motivasi belajar Siswa kelas VII semester 1 SMPN 6 Tulungagung tahun pelajaran 2019/2020, serta model pembelajaran ini dapat digunakan sebagai salah satu alternatif pembelajaran Bimbingan Konseling.
PKM PEMBELAJARAN BAHASA ARAB DI PELITA HATI JAKARTA SELATAN Muslim, Ibnu Fiqhan; Ranam, Sanudin; Priyono, Priyono
Jurnal Pengabdian Kepada Masyarakat Bangun Cipta, Rasa, & Karsa Vol 4, No 3 (2025): Jurnal PKM Batasa
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/pkm batasa.v4i3.4102

Abstract

Belajar bahasa merupakan kegiatan yang dilakukan secara bertahap. Dalam pembelajaran bahasa diperlukan rancangan agar tujuan komunikasi berhasil. Kegiatan Pengabdian Masyarakat ini dilakukan untuk memberikan pelatihan penggunaan bahasa Arab dengan tepat dan benar di Yayasan Pelita Hati. Melalui kegiatan ini, diharapkan siswa di Yayasan Pelita Hati dapat lebih memahami dan menggunakan bahasa Arab dalam komunikasi sehari-hari. Fokus utama dari pengabdian kepada masyarakat ini adalah pengajaran teknik yang tepat untuk belajar bahasa Arab sehingga siswa tidak hanya mampu berbicara, tetapi juga memahami struktur dan makna bahasa Arab. Berdasarkan permasalahan utama mitra, solusi atas permasalahan yang di tawarkan kepada mitra adalah menerapkan metode pembelajaran bahasa Arab dengan teknik pengulangan, visualisasi, pendengaran, praktik, dan teknik mnemonik. Hasil yang di peroleh dalam program Abdimas ini adalah anak mampu berkomunikasi dengan keterampilan yang lebih baik dalam berbicara menggunakan bahasa Arab serta rasa percaya diri saat anak berbicara dengan bahasa Arab.
Perancangan Jaringan Local Area Network (Lan) Berbasis Mikrotik ( Study Kasus Pekon Taman Sari ) Joni, Joni; Nanda, Adi Prasetia; Priyono, Priyono
Journal of Software Engineering and Technology. Vol 5, No 1 (2025): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v5i1.227

Abstract

ilmu pengetahuan dan teknologi begitu pesat, sehingga kitapun harus mengikuti perkembangannya agar tidak ketinggalan, terutama dalam bidang informasi dan komunikasi. Jaringan komputer adalah interkoneksi dari beberapa computer. Dapat dijelaskan dengan bahasa sederhana bahwa Jaringan komputer adalah kumpulan berbagai komputer dan perangkat perangkat pendukung lainnya seperti Router, Switch, dan lain lain. Router MikroTik adalah sistem operasi yang dapat digunakan sebagai router jaringan yang andal, termasuk rangkaian lengkap fitur nirkabel dan jaringan. Selain itu, MikroTik juga dapat berfungsi sebagai firewall untuk komputer lain dan mengutamakan komputer lain untuk mengakses data internet dan data local. Dalam penelitian ini, menggunakan pendekatan terhadap model Network Development Life Cycle (NDLC), NDLC merupakan model kunci dibalik proses perancangan jaringan komputer, NDLC merupakan model yang mendefinisikan siklus proses perancangan atau pengembangan suatu sistem jaringan komputer.
Co-Authors A Manaf A. Haris A. Rusgiyono A.A. Ketut Agung Cahyawan W Abidin, Nur Achmad Imam Agung AF Kurniawan, AF Agfianto, Tomi Agung Cahyono agung Pramana Agus Anggoro Sigit Agus Subagio Agus Trihandoyo Agus Ulinuha Ahmad Asrori Ahmad Sulaiman, Ahmad Alfina, Alfina Ali Haidir Alif Noor Anna Aminuyati Anas M Najih Andi Andi Andi Gunawan Andi Saryoko Andoyo, Andreas Andrianto, Sukrisna Andriayani, Novita Angelina, Dian Anggrelanggi, Arsy Anggrellanggi, Arsy Arif Jauhari Arisandy, Poppy Arisanty, Poppy ARIWIBOWO, PRASETIO Arnelli Arnelli Artian, Artian Sirun Artian Aryo Tunjung Kusumo Asahi, Adam Aslinda, Aslinda Astia Ningsih, Dwi Atien Priyanti Atok, Laurensius Kristo Augustine, Yvonne Auliani, Faulhia B. Raharjo Bawano, Franklin Bawono, Ari Bianome, Wofrid Bianome, Wofrid Erlista Bianome, Wolfrid Brilliant, Muhamad Choirul Amin Choirul Anam AM Diponegoro Choirunnissa, Putri D. Ispriyanti Darwin Rio Budi Syaka David David Dian Ekowati Dian Puspita Dian Puspita Sari Didik Setiyo Widodo Dilahur Dilahur, Dilahur Dima, Adid Balle Dina Syafrianingsih, Dina Dwi Astuti Dwi Budi Santoso Dwi Purwantoro Sasongko Dwi Wahyu Nugroho Dwiantoro, Tino E. Setiawati Edy Suprapto Endang Sri Sudalmi Eris, Deden Dewantara Erma Kumala Sari Etty Murwaningsari Evi Gusliana F. Ariyanto Fadila, Hana Fadrul, Fadrul Fahira, Talitha Khansa Fahrizal Fahrizal Fahrizal Fahrizal Fajar Arianto Fajar Arif Mustofa Fatur, Tiyo Fauziyah, Ridha Feta, Neneng Rachmalia Fiqhan Muslim , Ibnu fiqhan muslim, ibnu Fitri, Septi Bunal Fitria Fitria Fitriyah, Fauziatul Fransisca, Luciana Gultom, Charles Epapras guntoro, adi H. Sutanto H. Sutanto Henny Armaniah Henny Destiana Heri Sutanto Hindriari, Reni Hocky, Agus Hodo, Yeremias Lake Hosang, Djefry Paulus Hudzaifah Hazazi Zia Kusuma Hutahuruk, Marice Br I Gusti Bagus Wiksuana I Gusti Putu Asto Buditjahjanto I Nurhasanah I. Marhaendrajaya Ihwan Susilo, Ihwan Iis Nurhasanah Ilmy Zaada Faidullah Imam Hardjono Indras Marhaendrajaya Ishak Yassir Isti’ana Maftuchah, Isti’ana J. E. Suseno Jasman Jasman Jatmiko Endro Suseno Jeprianto, Jeprianto Joko Sudarto Joni Joni Jumadi Jumadi Juwanda, Farikhin K Sofjan Firdausi K, Basri K. S. Firdausi, K. Karnaji Karnaji Karnaji, Karnaji Karyono Karyono Ketut Sofjan Firdausi, Ketut Sofjan Kharis Triyono Khasan Rowi Kholifah, Desiana Nur Kilat Permana Putra Kliwon Hidayat Komardi, Dadi Kristanto, Daniel Kudri, Muhammad Wan Kudri, Wan Muhammad Kukuh Dwi Septiana Kusuma, Annisa Dian Kusumo, Aryo Tunjung Kuswaji Dwi Priyono Laban, Banjar Yulianto Laia, Maria Monika Septa Lengo, Edwinurius Berlinus Leni Anggraeni Leotman, Baradista Dimas Lila Dini Utami Lilik Anifah Liu, Mikhael Dendy Robertus Luktyansyah, Insyiah Meida M. Imam Taufiq M. Izzati M. Nur M. Sholahuddin Manesi, Damianus Manurung, Lengsi Mau, Sealtial Mau, Sealtiel Maximilian M. J. Kapa, Maximilian M. J. Mega Lestari Mnune, Edwin Deriston Muh Yasin YBIC Muhammad Abdul Aziz Muhammad Adhimawan Wijaya Muhammad Faisal Muhammad Farid Aminudin, Muhammad Farid Muhammad Hilman Fakhriza, Muhammad Hilman Muhammad Rivai Mujiono Mujiono Mukti, Nursanti Anjune Munawar Cholil Muryanto Nanda, Adi Prasetia Nasution, Ali Napiah Neneng Feta Rachmalia, Feta Nila Elfrida Harahap Nofiar, Nofiar Nofrizal Nofrizal Novita Andriyani Nufus, Khayatun Nurdin Ibrahim Nurhasanah, Iis Ariska Nurkholis Nurkholis Nurlaila Nurlaila Nurul Aisyah Nurul Taufiqu Rochman Nurwenda Novan Maulana Nyoto Nyoto, Nyoto Oldi Malfri Lambonan Panca Saputra, Elin Pandji Triadyaksa Paramita, Safira Arta Pardoyo Pardoyo Parulian, Dudi Passu, Ahas Weros Peginusa, Stefani Switly Pinangkaan, Niko PRAKOSO, Haryo Tejo Putra, Tri Mandala Putri, Ega Harnanditya Putri, Novia Kelana Putri, Novita Yulia R. Hariyati R. Hastuti Radyum Ikono Rahayu, Adi RAHMAD MAHENDRA SARWIJIWO Rahmat Tri Yunandar Ramadhani, Syaikhah Aditya Ranam, Sanudin Rasuh, Adolf Tony Ravik Karsidi Regina Ayu Andini Rezki, Muhammad Ricky Ricky Rike Yudianti Rike Yudianti Rina Wati Rismaya, Siska Riyaji, Akbar Rizaldi Putra Rizki Restu Setiyani Rizki, Fahlul Rohana, Krisma Dwi Rosihan Asmara RR. Ella Evrita Hestiandari Rudiansyah, Firman Rudiyanto Rudiyanto, Rudiyanto Runtuwene, Steven Johny S Siswanto S, Yvonne Augustin S. Suryono S. Tana Saiful Bahri Sanggam Ramantisan Saputara, Elin Panca Saputra, Yose Saputro, Achmat Yulyadi Saputro, Avisema Sigit Sartono Joko Santosa Satria, Rita Sigit Saputro, Avisema Siregar, Valdi Muhamad Rafiansyah Siregar, Valdi Muhammad Rafiansyah Sirih, Muhammad Sistya Rachmawati Siswadi Siswadi Sitepu, Bina Swasta Siti Mukodimah Slat, Winda Sanni Soekarno Mismana Putra, Soekarno Mismana Sri Hartati Sri Iswiyanti, Agus Sri Wahyuni Subagya Subagya, Subagya Subagyo Subagyo Subhan Subhan Sudarno Sudarno Sugito Sugito Suhardjono S Suhardjono Suhardjono Suharja, Iman Suhartono Suhartono Sulastri Sulastri Suldalmi, Endang Sri Sulistyawan A Sulistyo Sulistyo Sunardi Sunardi Sunarhadi, M. Amin Sundari Utami, Shinta Supit, Teve W. M. Supratiwi, Mahardika Suryadhitia, Rachmat Suryadithia, Rachmat Susanto, Yohanes Karoberd Yugi Suswandi, Suswandi Suyono Suyono Syah Putra, Arman Syukur, Adnan T. Windarti Tage, Oktafianus Tamelan, Paul G. Taufik Rahman Taufik Taufik Teguh Teguh Thaka, Indra Tito Prastyo Rahman Tnunay, Imanuel To, Yonas Tri Atmoko Tri Susilowati U Kaltsum, U Ulfa Isni Kurnia Ummi Kaltsum Umrotun Umrotun Valencia, Erica Very Richardina Very Richardina Vincensius Gunawan S.K. W. H. Rahmanto Wahyu Agustina, Wahyu Wahyudin Wahyudin Wibisono, Sigit A. Wibisono, Sigit A. Wibisono, Yusub Widiyanto Widiyanto Widyastuti, Lina Ayu Windu Ganar Prasongko Windu Ganar Prasongko Wofrid E. Bianome Wulandari Wulandari Yeni Susanti Yulanda, Novidya Yuli Priyana Yuswono Yuswono Z. Muhlisin Zaenul Muhlisin