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Suprapto Suprapto

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Reinforcement of religious moderation through role of chaplain in community police partnership forum from management perspective Wibowo, Ardianto Bayu; Hartono, Bambang Dwi; Suprapto, Suprapto
ATTARBIYAH: Journal of Islamic Culture and Education Vol 6, No 2 (2021): Attarbiyah: Journal of Islamic Culture and Education
Publisher : IAIN Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/attarbiyah.v6i2.145-156

The purpose of this study is to explain the importance of implementing enhancement of religious moderation in Indonesia and to find out the role of theologian in community police partnership forum as a mediator in resolving cases on religious issues, fostering people based on Islamic values, Pancasila and the Constitution of 1945 in amplify the establishment of the Republic of Indonesia. Furthermore, to identify the constraints faced and its solution from management perspective. The case study was chosen as the research method because it was considered to be able to capture the phenomenon of partnership between the police and the community to amplify the application of religious moderation. Reinforcement of religious moderation is considered important because it can support community harmony and order in living daily life in multicultural situations.The theologian of community police partnership forum can be a mediator in preventing the development of religious issues in Indonesia. The obstacle faced by the theologian is the lack of budget and structural and human resources. According to the SWOT analysis, what must be considered is the escort of theologians when they are mediators in conflict areas

How is Quality in Homecare Services Created? A Qualitative Study of Health Professional Perspectives Suprapto, Suprapto; Andi Latif, Sarifudin; Nurhanifah, Dewi; Yunus, Muh; Ajeng Wijayanti, Lumastari
Jurnal Kesehatan Masyarakat Vol. 21 No. 2 (2025)
Publisher : Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v21i2.31257

Nursing services in home healthcare are becoming increasingly important as the number of patients requiring long-term care and post-inpatient care increases. The standard of nursing care delivered at home is crucial for the well-being of both patients and their families. This study investigates how health professionals perceive the creation of quality nursing services in home healthcare. Methodology: This study uses a qualitative approach with an in-depth interview method. Ten health professionals, including nurses, doctors, and home health care managers, were selected as participants through purposive sampling. The data were analyzed using thematic analysis methods to identify relevant themes and subthemes. Results: The results show that the quality of nursing services at home is created through several key factors: competency and training of nurses, effective communication between health teams, involvement of families in care, availability of resources, and clear management and policy support. Nurse competence and training are considered the most crucial factors affecting service quality. In addition, good communication between healthcare professionals and patients' families is also regarded as essential to creating a holistic and patient-centered service. Conclusions: The quality of nursing services in home health care depends on various factors, including nurse competency, effective communication, and family involvement. Managerial support and supportive policies are also essential to ensure that nurses can deliver optimal care. This research provides valuable insight for developing training programs and policies to enhance the quality of home nursing services.

Improvement Naive Bayes Menggunakan Forward Selection, Information Gain dan Gain Ratio untuk Penanganan Independensi Fitur Suprapto, Suprapto
Jurnal Sosial Teknologi Vol. 5 No. 4 (2025): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v5i4.32084

Penelitian ini bertujuan untuk menganalisis peningkatan kinerja algoritma Naive Bayes (NB) dalam menangani independensi fitur menggunakan metode Forward Selection, Information Gain, dan Gain Ratio. Naive Bayes merupakan algoritma klasifikasi yang sering digunakan karena efisiensi komputasinya yang tinggi, namun sering mengalami penurunan performa ketika ada ketergantungan antar fitur. Penelitian ini menggunakan pendekatan eksperimental dengan menerapkan beberapa algoritma, yakni Naive Bayes, Forward Selection Naive Bayes (FSNB), Forward Selection Information Gain Naive Bayes (FSIGNB), dan Forward Selection Information Gain Ratio Naive Bayes (FSIGRNB) pada dataset berdimensi tinggi. Metode validasi yang digunakan adalah 10-fold cross validation untuk mengukur akurasi setiap algoritma. Hasil penelitian menunjukkan bahwa algoritma FSNB dan FSIGNB berhasil meningkatkan akurasi secara signifikan dibandingkan dengan algoritma NB standar. FSNB memiliki akurasi rata-rata tertinggi sebesar 81,124%, diikuti oleh FSIGNB dan FSIGRNB. Implikasi dari penelitian ini adalah bahwa penerapan metode Forward Selection, Information Gain, dan Gain Ratio dapat meningkatkan akurasi klasifikasi Naive Bayes, terutama dalam dataset dengan dimensi fitur yang tinggi, serta memberikan kontribusi penting dalam pengembangan algoritma untuk menangani independensi fitur.

Redesigning the Boundaries of Corruption in Government Procurement of Goods and Services Andi Akbar Subari; Achmad Faisal; Suprapto Suprapto
International Journal of Sociology and Law Vol. 2 No. 3 (2025): August : International Journal of Sociology and Law
Publisher : Asosiasi Penelitian dan Pengajar Ilmu Hukum Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsl.v2i3.790

Government procurement, particularly in Indonesia, remains highly susceptible to corruption due to systemic regulatory loopholes and excessive human discretion, often characterized by collusion and bid-rigging. This institutional vulnerability defines the traditional "boundaries of corruption" as the discretionary corridors within existing administrative law. This research aims to fundamentally redesign these boundaries by shifting control from human discretion to technological enforcement. This study employs normative legal research focusing on the Presidential Regulation on Procurement, integrated with a technological design approach relevant to the journal. The core contribution is a reform model proposing the mandatory integration of AI-powered Smart Contracts and Distributed Ledger Technology (Blockchain) into the public procurement process. Key findings indicate that the primary corrupt boundary lies in ambiguous clauses concerning direct appointments and contract amendments. We propose that an AI-based system can monitor real-time pricing anomalies and bidder networks (network analysis), while Smart Contracts can automate and audit execution, thereby eliminating human factor vulnerability. This redesign transforms the boundaries of corruption from a matter of criminal enforcement to one of algorithmic inevitability, providing a robust, transparent, and self-auditing framework for digital governance.

Analisa Tegangan dan Deformasi Pada Desain Kursi Menggunakan Finite Element Method Dengan Variasi Pembebanan Sugiono, Didik; Suprapto, Suprapto; Rahmad Aldori, Yopan; Supardi, Supardi
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2807

The manufacturing process is an activity of processing raw materials into products to increase added value. One of these products is chair furniture; to reduce errors and failures in its manufacture, it is necessary to do prototype model experiments first. This research conducts a simulation study and analysis of the chair design on stress, deformation and safety factor using the Finite Element Method approach with the help of ANSYS ADPL 18.0 static structural software where the chair design is made of 304 stainless steel, aluminum-T6, HCP 30 polymer foam in one chair structure by simulating several static load loading scenarios, boundary conditions, and even distribution on the surface of the chair. The simulation results show that the highest maximum stress distribution (von misses stress) is 3.5 Mpa at a pressure of 175 kg.f, for the lowest value of 1.5 Mpa at a pressure of 5 Kg.f and a deformation (displacement) of 0.145x10Ë‰4 mm occurs at a pressure of 175 Kg.f, while the lowest deformation value of 0.621x10Ë‰5 occurs at a pressure of 75 Kg.f, This is due to the loading increasing along with the applied pressure force, but still in the minimum safety factor standard position for static loads, so as not to damage the geometric structure.

Meningkatkan Belajar Siswa dengan Metode Prablem Based Learning pada Kelas 8 SMPN 4 Tanjung Lago Kab. Banyuasin Sumatera Selatan Suprapto, Suprapto; Umar, Firman; Karim, Abdul
JURNAL PEMIKIRAN DAN PENGEMBANGAN PEMBELAJARAN Vol. 4 No. 1 (2022): JURNAL PEMIKIRAN DAN PENGEMBANGAN PEMBELAJARAN (JP-3)
Publisher : RAYHAN INTERMEDIA

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

Penelitian tindakan ini bertujuan untuk mengetahui pengaruh model pembelajaran Prablem Based Learning (PBL) dalam meningkatkan minat belajar siswa terhadap mata pelajaran IPS. Salah satu faktor penting pemakaian model pembelajaran ini karena pada kompetensi dasar tentang masalah perpajakan perlu mendapat penekanan tertentu. Hal ini diperlukan karena apresiasi siswa SMPN 4 Tanjung Lago mengenai masalah perpajakan masih rendah. Diharapkan dengan tingkat apresiasi yang baik terhadap permasalahan perpajakan dapat menjadi bekal hidup bermasyarakat. Penelitian tindakan ini dilaksanakan pada bulan Mei sampai dengan Juli 2019 pada kelas VIII SMP N 4 Tanjung Lago, dan dilaksanakan dalam dua siklus. Pelaksanannya melalui tahapan : menentukan kompetensi dasar masalah perpajakan, menyusun RPP tentang perpajakan, menentukan instrumen yang akan dipakai sebagai tolok ukur pencapaian, menentukan dan melaksanakan model pembelajaran Prablem Based Learning (PBL) yang dibagi menjadi tiga tahap : pelaksanaan bermain peran dan diskusi kelompok, analisa keberhasilan dan kekurangannya dan kesimpulan Dari hasil penelitian dapat disimpulkan bahwa pelaksanaan model pembelajaran Prablem Based Learning (PBL) dapat meningkatkan minat belajar siswa kompetensi dasar perpajakan. Hal ini dapat dilihat dari hasil catatan observasi, peningkatan nilai pretes maupun pos tes baik pada siklus kesatu maupun kedua maupun dari hasil angket siswa.

Capacity Building for Nurses in Hospitals Suprapto, Suprapto
Asia Pacific Journal of Management and Education (APJME) Vol 5, No 1 (2022): March 2022
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/apjme.v5i1.1424

Nurses in carrying out their duties require an increase in ability, expertise, and skills in carrying out health care tasks to meet the level of patient satisfaction.Â The purpose of this study is to analyze the capacity development of nurses in hospitals. The researcher uses qualitative research whose data sources used are primary and secondary data sources. The data is collected by observations, interviews, and document studies. Data analysis used is qualitative descriptive through interpretation and deep meaning by simplifying data, presenting data, making conclusions, and validating data by triangulation of data. The results showed that the process of developing nurse capacity has been carried out through changing systems of integrated nurse capacity building patterns and in-house training; determining factors determining nurse capacity development as follows; leadership; commitment; culture; spiritual; and technology. Later the researcher conclude that the strategy of increasing the capacity of nurses in health services can be realized through education and training based on spiritual and technological aspects in developing the capacity of nurses in hospitals.

Adsorption of Remazol Blue And Indigosol Yellow Mixed Dyes Using Bidara Arab Leaves (Ziziphus spina-christi) Kurnia, Mega; Suprapto, Suprapto; Ni'mah, Yatim Lailun
Indonesian Journal of Chemical Analysis (IJCA) Vol. 7 No. 1 (2024): Indonesian Journal of Chemical Analysis
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijca.vol7.iss1.art3

In this study, the adsorption of Remazol Blue and Indigosol Yellow using Bidara Arab leaves (Ziziphus spina-christi) as adsorbents was investigated through batch adsorption. The experimental parameters included contact time, adsorbent mass, initial concentrations, and pH. UV-Vis spectrophotometer was employed to measure the adsorption results at the maximum wavelength of each dye. The research was conducted in triplicate, and a t-test, "Paired Two Sample for Means", with a standard deviation <2% was employed for statistical analysis. Optimal adsorption conditions were achieved at a contact time of 45 minutes, an adsorbent mass of 45 mg, an initial concentration of 30 ppm, and a pH of 3. The results indicated that Bidara Arab leaves effectively reduced the concentration of the mixed dyes with %decoloration up to 99,79% on Remazol Blue and 99,50% on Indigosol Yellow.

The Identification of Acetic Acid-Ethanol Mixture Using Gas Sensor Array and Ensemble Regression Suprapto, Suprapto; Yatim Lailun Ni'mah; Harmami, Harmami; Ulfin, Ita; Ardiyanti, Annisa
Indonesian Journal of Chemical Analysis (IJCA) Vol. 7 No. 1 (2024): Indonesian Journal of Chemical Analysis
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijca.vol7.iss1.art1

Identification of acetic acid-ethanol mixtures using a commercial gas sensor array equipped with ensemble regression has been carried out. The gas sensor analysis was simple, rapid, and fast since it did not require any sample preparation. A quantitative analysis of the acetic acid-ethanol mixture was carried out to determine the sensitivity and selectivity of the sensor in distinguishing the concentration of the acetic acid and ethanol mixture. This study focuses on the coefficient of determination of 80% of the calibration data set and recovery of 20% of the testing data set. The models showed excellent performance,specifically, the Bagging and Random Forest r2 for the ethanol calibration data reached 0.91 and 0.94, respectively. The corresponding ethanol test recoveries were 99.95% and 97.84%, indicating the robustness of the model in accurately predicting ethanol concentration. Acetic acid test recoveries were 100.56% and 101.38% with r2 of 0.89 and 0.93 for Bagging and Random Forest regression, respectively. Hence, the commercial gas sensor array equipped with ensemble regression can be applied to the quantification of the acetic acid – ethanol mixture and demonstrate opportunities for the practical use of this gas sensor array in analyzing real samples, i.e. human breath or environmental monitoring samples.

Twitter Sentiment Towards 2024 Jakarta Governor Candidates With Naïve Bayes Algorithm Abei, Fikri; Sulaeman, Asep Arwan; Suprapto, Suprapto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5358

This study aims to analyze public sentiment towards candidates for the 2024 Governor of DKI Jakarta through the Twitter platform, with a focus on classifying positive and negative sentiment. Along with the rapid development of social media, Twitter has become the main channel for people to voice political opinions. Sentiment analysis was conducted using the Naive Bayes algorithm to classify the sentiment of tweets collected through crawling techniques during the campaign period. The data used includes user tweets, with features such as frequently occurring words, popular hashtags, and discussion topics related to each gubernatorial candidate. The results showed that the Naive Bayes algorithm provided the best performance in classifying sentiment data in the period August 1 to December 26, 2024, with the highest accuracy rate reaching 75% at a data ratio of 90:10. This research also identified challenges in sentiment classification, such as the presence of new terms in test documents that are not recognized by the training model. The findings are expected to provide a clearer picture of public perceptions of gubernatorial candidates and contribute to the analysis of political sentiment on social media

Co-Authors Abadi Sanosra Abda Abda Abdul Aziz Ahmad Abdul Basith, Mohammad Resi Abdul Hafidz Abdul Karim Abdul Qodir Abdul Quddus Abdul Wahab Abei, Fikri Achmad Dwitama Karisma Achmad Faisal Achmad Faishal Achmad Ridwan, Achmad Adhi P, Baskara Adi Soeprijanto Aditama, Fitra Diannico Afan Hamzah, Afan Afiahayati Afiahayati, Afiahayati Agus Arifin, Agus Agus Mulyawan, Agus Agus Salim Agus, Junaidi Agustiani, Elly Agustin Suraswati Agustin Suraswati, Agustin Ahmad Dwi Arga Ahmad Firdaus, Ahmad Ahmad Hanif Ahmad Syaufi Ahmadi Hasan Ahmadi, Haerul Aigah Ameilia Manullang Ainur Komariah Aisyah Endah Palupi Ajeng Wijayanti, Lumastari Aji Sumbara Al Amruzi, HM Fahmi al farobi, afif Al Ikhlas, Al Ikhlas Albubaroq, Hikmat Zakky ALEXCANDRA, HISAR Alfiana Alfiana Ali Altway Alifah Hernanda, Rasikha Alita, Gesvi Sari Amelia, Ruth Aminuyati Amiria, Hana Dhia Amri, Novita Amrulloh, Muhammad Chasan Anafih, Erwinda Sam Andi Akbar Subari Andik Adi Suryanto Andika, Sophian Andrean Rahady Juanizar Anggraini, Ike Anik Herminingsih Anita Susanti Anwar, Seful APHA, Journal Manager Apriliawati, Tonika Aqil Ghifari, Khalif Ardhana, Krisna Setya Ardhelia Maura Felisia Ardiansyah, Dimas Lutfiana Ardiyanti, Annisa Arifin, Rizal Arintoko Arintoko, Arintoko Arlinwibowo, Janu Arwadi Sinuraya Aryanta Sembiring, Robi Asidigisianti Surya Patria Asih, Dewi Supri Asrudin, Muhammad Aswan Supriyadi Sunge Aulia, Anisa Fatma Awaliyah, Nabilah Hasna’ Ayu Safira, Amellia Ayu Sitanini Azizi, Muhammad B.A. Tjipto Sujitno Bambang S, TH.Teddy Bambang Sumardjoko Bangsawan, Achmad Baqiyah, Alvi Khoirul Barima, Hima Bariot Hafif Baskoro, Ari Yudha Basuki , BASUKI BASUKI Batumahadi, Batumahadi Bawafi, Suardhana Bayu Mahendra Bayu Wiyantoko Binsar Panjaitan, Binsar Bongga Linggi, Elmiana BUDI WIBOWO Bunyamin Arsyad Cakranegara, Pandu Adi Chandra S Cutiana Windri Astuti, Cutiana Windri Dadang Supriyatno Dairobi, M Imam Daito, Appolo Damanik, Marini Danar Agus Susanto Danawati Hari Prajitno Darmaputra, I Gde Darsini . . Daud, Fadly Dedi Saputra Dermawan, Dodik Dewangga, Sakti Dewi Nurhanifah, Dewi Dewi Riniarti Dewi Supri Asih Dewi, Meilinia Shinta Kusuma Dewi, Ratna Fitriana Diah Setyorini Gunawan Dian Ardifah Iswari Dian Wijaya Diansyah, Diansyah Didik Prasetyoko Didit Kurniadi Dijan Rahajuni Djaja , Djuniawan Karna Djuharyanto, Teguh Djuita, Warni Dominikus Rato Dwi Ari Purwanto Dwi Priantoro Dwi Purwoko Dwi Wahyuni Ganefianti, Dwi Wahyuni Dyah Aruming Tyas Edora, Edora Edy Riyanto Eka Daryanto Eka Daryanto, Eka Eko Wahyono, Eko Emy Handayani Endang Sri Gunawati Endi Hari Purwanto Ennanto, Ennanto Eny Rahmawati Erlina Erlina Erliyani, Rahmida Ersan Ersan Eswanto, Eswanto F. Dirun, Wikarya Faddillah, Fahmi Fadly Azhar Faishal, Achmad Faizah Faizah Fajar Dwi Prasetyo Fakhri Izzul Haq, Muhammad Fakhrina Fahma Fardanu, Arvian Rifky Fathurrahman Muhtar Fatima, Gupita Nadindra Fatkur Mu'in Fauzan M, Rizqi Fauzi, Habibillah Achmad Putra Febrian Kwarto Fikri, Muyazzinul FIRMAN UMAR, FIRMAN Firmansyah Nasution, Taufik Forita Dyah Arianti, Forita Dyah Fredy Kurniawan G. Sibarani, Wendy. Gde Agus Yudha Prawira Adistana Ghiffari, Muhammad Giantama Adhy Prima Ginting, Delon Ananda Giovan Panjaitan, Asido Girsang, Evan Roland Giyoto Gunawan, Harianto Gunawan, Muhammad Tigo Gunawan, Safri Gusti Muzainah Hadi Musthofa Hadi Musthofa, Hadi Hadi, Hairul Hadi, M Faziurrahman Haetami, Husnul Hairil Anwar Hanggara, Buce Trias Hardiansyah, M. Harmami Harmami Harmami Harmami Hartanti, Sri Hartono, Bambang Dwi Hastika, Adrian Richkiel Hazim, Muhammad Fadhlurrahman Hendrawan, Henky Hendro Juwono HENRY ISKANDAR Hermaningsih, Anik Herzanti, Amelia Hetrianto, Roman Hidayatin, Dwi Hikmah Muhaimin Historiawati Historiawati Hosan, Elfawa Hutajulu, Olnes Yosefa I Gde Ichsan Anwary, Ichsan Idrus, Muhamad Ifda Tanjung, Yul Ignatius Sriyana Ihsan Kamaruddin, Muh Inang Prihatina, Yuhri Inayatullah, Putri Asti Indrawatiningsih, Nonik Indura, Alif Chandra Irawan, Kelvin Irfan Miftahul Fauzi Irfandi Irfandi, Irfandi Irma Azalia, Inez Irma Russanti Irwan Irwan Islah Islah, Islah Ismadi Raharjo, Ismadi Ismail Thoib Isnaini, Silviana Dwi Iswandi Iswandi Iswar, Nabila Salsabila Ita Lusiyana Ita Ulfin Ita Ulfin Iwan Harsono Iwan Sudradjat, Iwan Jauhari, Sodik Jaya, Jamie Armadi Jenny Yudha Utama Jhodi Pratama Joko Purnomo Joko Sutrisno Jubaidah, Jubaidah Juli Dwi Astuti, Anik Juli Hadiyanto Juli Handayani Juliana Waromi, Juliana Kabul, Abdul Hamid Kamaruddin, Muh Ihsan Karim, Syaban Abdul Kens Napolion Kesi, Reval Bani Kevin Abdillah, Mohammad Khaerul Anam Komariah, Ainur Krisdayanto, Tiyan Reky Kukuh Ageng Pribowo Kunjung Ashadi Kurnia, Mega Kurniawati, Puji Kurniawati, Puji Kuswadi, Didik Lailatul Qomariyah, Lailatul Lailiyah, Yayang Komaroh Lailun Ni’mah, Yatim Lathifah Lanonci Latif, Asriyadi Latif, Sarifudin Andi Lely Susita Lestari, Gagas Puji Lestari, Mathilda Sri Leuhery, Ferdy Liana Mangifera Lilis Siti Badriah lilis Sulandari Lilis Suryani Lily Pudjiastuti, Lily Listiyanto, Listiyanto Lisyanto . Lova, Dea Lubis, Aulia Madjid Luluk Ayu Widyantika M Gultom, Septhya M Tahir Mafizatun Nurhayati Mahsun Jayadi, Mahsun Maigoda, Tony Cortis Malau, Raymond Regol Maria Puspita Sari, Maria Puspita Marlina, yuli Marsyaf, Marsyaf Marthin, Marthin Mathilda Sri Lestari Maulana, Ahmad Rizki Mawadah, Saadah Luthfiah Mayasari Mayasari, Mayasari Meghotsah, Muhammad Akha Meidiansyah, Fadli Meifida Ilyas Meilinda Ayundyahrini Melvi, Lisa Miftahul Huda Miharja, Muhammad Najamuddin Dwi Millenio, Gifford Adji Akbar Minanari, Minanari Muchlis Hamdi Muhaimim, Hikmah Muhammad Ashari Muhammad Asir Muhammad Azianor Ilmy Muhammad Hambal Shafwan Muhammad Idris Muhammad Idrus Muhammad Ilham Muhammad Iqbal Muhammad Iqbal FIrdaus, Muhammad Muhammad Najib Muhammad Nepo Fauzan Muhsi, Muhsi Muhsin Aseri, Muhsin Muhtadin Muhtadin Mukhlis Mukhlis Mulat, Trimaya Cahya Mulyani Zulaeha Muniroh, Mu’awanatul Murti Astiningrum Musaddad, Anwar Mustain Mustain Mustika, Cindyva Thalia Muteringbumi, Haidir Ali Muyassaroh, Tisnuliah Nabella Rizka Tianlie Nadiah Nadiah nasir, muh Nasrodin Nasrodin, Nasrodin Nasution Nasution Nawangwulan, Apriliya Ni'mah, Yatim Ni'mah, Yatim Lailun Ningsih, Tri Widyastuti Niniek Fajar Puspita, Niniek Fajar Nonsi Tentua, Meilany Noviani, faizah Nur Aida, Nur Nur Azizah Nur Syamsi Norma Lalla Nurfaizin, Irham Nurhadji Nugraha Nurhasanah Nurhasanah Nurlaili Humaidah, Nurlaili Nurliah Nurdin Nurul Lailatul Khusniyah Nurwahidah Jamal Nurwantara, Ma’ruf Pambudi Nurwijayanti Nyoman Bayu Mahendra Ode Novi Angreni, Wa Oktafiana , Anisa Omiyani*, Selva Omiyani, Selva Pakpahan, Binsar Palupi Irene Desilvia Panunggul, Victor Bintang Pasaribu, Firentus Agustone Patria, Asidigisianti Pawana, Sekhar Chandra Perando Sitanggang Pibisono, Arif Pinem, Riza Refaya Prakoso, Lukman Yudho Pramditiyan, Fauzan Rizaki Prasetyo, Sutrisno Aji Prasetyono, Puguh Pratama, Septian Rizki Prayitno Prayitno Prayitno Prayitno Prayoga, Muhammad Angga Puji Kurniawati Purnama, Yulian Purnma, Aldi Purwanda, Nur Widia Purwoko, Agus Putra*, Eka Kurniawan Putra, Devangga Putra Adhitya Putra, Irawan Haji Putranto, Afif Hendri Putri, Sherly Octaviana Putty Anggraeni R. Djarot R. Nurfazriah, Latifah Rachmad Hidayat Rachman Sidharta Arisandi, Rachman Sidharta Rahmadian, Reza Rahmaniar Rahmaniar, Rahmaniar Rahmatul Ahya Rahmatul Ahya Rahmawati, Apriliana Nadia Rajwa Abidah Sudjarwo Ramadhan, Irham Ramli, Verawati Ranam, Sanudin Rasyid, Muh Fadli Faisal Ratna Suhartini Ravendianto Ravendianto Reza Amarta Prayoga Reza Perdanakusuma, Andi Rian Prasetyo Riana Puspita, Riana Richad Hasan, Jhems Rida Ristiyana Rill lsaris Rini Fidiyani Risyafa, Jihan Rivai , VeithZainalzal Riyanto Suprawihadi Riyanto, Ari Budi Rizal Abdullah, Rizal Rizky Abdul Aziz Rochman, Apriatur Rochman, Arif Roman Hetrianto Romanto, Kristian Rosmiah Rosmiah, Rosmiah Rosnidar Sembiring Rossy, Riza Fachrul Rr. Ernawati Rubiyah Rubiyah Rudi Salman Rumanintya Lisaria Putri, Rumanintya Lisaria Rusanti, Irma S. Suripin Saadah, Nurus Sabarudin Akhmad Safira Aulia Sahputra, Nazar Sahrir, Salman Sakti, Arya Salsabila, Maulidia Sampurno, Ade Citra Oktaviana Elok Samsudin, Ahmad Santosa Pradana Putra Setya Negara Santosa Santosa Santosa Santosa Saprudin Saprudin Saprudin Saprudin, Saprudin Saputra, Andy Eka Saputra, Dhani Irfanda Bayu Saputra, Firza Asep Saputri, Hafiar Sardi, Sopian Andika Sari, Ike Mayta Sari, Marta Hayu Raras Sita Rukmika Sasongko, Ananto Tri Satriawan, Devi Sayono Sayono Selamat Riadi Selamat Triono, Selamat Setyo Atmodjo Setyorini, Adelya Hesty Shailendra, Oktovan Agung Sheryl Niken Sekar Maulidya Shophan Tornado, Anang Silakhuddin Silakhudin Simanjuntak, Ardi Simetris Harahap, Handala Siminto Siminto, Siminto Sinurat, Marja Siti Holisoh Siti Nur Azizah, Siti Nur Siti Rofingatun Situmeang, Chandra Solly Aryza Soma Setiawan Ponco Nugroho Sophie Hapsari Sri Kaidah Sri L, Mathilda Sri Mulati Sri Mulati, Sri Sri Nadilah Sri Nadilah, Sri Sri Nugroho sri Nugroho Sri Warjiyati Sudarmiani Sudarmiani, Sudarmiani Sudjatmoko Sudjatmoko SUGENG HARIANTO Sugeng Santoso Sugiono, Didik Sukamta Sukamta Sukaryono Sukaryono Sukidi Sukidi Sukma Aditya Sulaeman, Asep Arwan Sulaeman, Maryam Sulaeman, Maryam Sumarlam Sumarni Sumarni Sumarno . sunardi sunardi Sunita Dasman Supardi Supardi Suparji Suparji Supnawadi, Supnawadi Suprapto Suprapto Supratman, Eman Suprio Pratomo, Muhammad Supriyanto Supriyanto Surya Dharma Suryanti, Rensi Susbiyani, Arik Susilowati Rahayu Sutrisno Sutrisno Sutrisno, Joko Sutrisno Sutrisno, Sutrisno Suwarni Suwarni Suwarno Imam Samsul Suyatno, Sugeng Suzanne , Nina Syaefullah, Nur Kholid Syafiq Maricar, Muhmmad Syahra, Assyfa Syaiful Anwar, Agus Setiadi, Suwali, Syaikhul Falah Syamsudin Rois, Syamsudin Taime, Habel Tambunan, Lily Tamtama, Noviadry Nur Tasrim, Tasrim Tatar Bonar Taufik Taufik Taufik, Opik Abdurrahman Tentua, Meilany Nonsi Thoib , Ismail Thomas Tukirin Thomas Tukirin, Thomas Titik Purwati Widowati Titik Purwati Widowati, Titik Purwati Tjipto Sujitno Tornado, Anang Shophan Tri Esti Purbaningtias Trimaya Cahya Mulat Tukiran Tukiran Ubaidillah, Rizal Utama, Wahyu Velthuzend, Andre Wahdi, Hilmy Wahidah Wahidah Wahono . Wahono Wahono Wahyono, Eko Wahyono Wahyu Dwi Mulyono Wahyu Dwi Mulyono Wahyu, Syamsul Wahyudi Sutopo WARJU Warlinda Eka Triastuti Waston WENI ROSDIANA Wibakti, Aji Restu Wibawa, Teguh Esa Wibowo, Ardianto Bayu Wijaya, Nahrul Wiwien Andriyanti Wiwien Andriyanti Wiyanto, Tri Ngudi Wiyantoko, Bayu Wiyantoko, Bayu Yaqin, Akbar Haqul Yatim Lailun Ni'mah Yeni Megalina, Yeni Yenni Kurnia Gusti Yopan Rahmad Aldori Yudhi Herliansyah Yulia Pujiharti Yulianto, M.Farrel Shyva Pradana Yunia Anisa Putri Yuniar, Dewi Yunus, Muh Yurizka Melia Sari Yusi Tyroni Mursityo Yuyu Wahyudin Zakaria Zakaria Zakky Almubaroq, Hikmat Zaman, Komarun Zeni Rahmawati Zeti Nofita Sari Ziyad, Ziyad Zubir, Moondra Zuchrillah, Daril Ridho Zulkarnain Zulkarnain Zulkarnain Zulkarnain

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