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All Journal Dinamik GEMA TEKNOLOGI Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Syntax Jurnal Informatika Elkom: Jurnal Elektronika dan Komputer Jurnal Ilmiah Mahasiswa FEB Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Berkala Epidemiologi Seminar Nasional Informatika (SEMNASIF) CESS (Journal of Computer Engineering, System and Science) E-Dimas: Jurnal Pengabdian kepada Masyarakat JOIN (Jurnal Online Informatika) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Ilmiah FIFO Jurnal Pilar Nusa Mandiri InComTech: Jurnal Telekomunikasi dan Komputer Prosiding Seminar Nasional Teknoka JRST (Jurnal Riset Sains dan Teknologi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Jiko (Jurnal Informatika dan komputer) Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Jurnal Telematika STRING (Satuan Tulisan Riset dan Inovasi Teknologi) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Ilmu Komputer dan Bisnis Syntax Idea Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Mnemonic Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Journal of Computer Science and Engineering (JCSE) SKANIKA: Sistem Komputer dan Teknik Informatika Media Gizi Kesmas Jurnal Teknik Informatika (JUTIF) Jurnal Pewarta Indonesia JURNAL KOMUNIKASI DAN BISNIS Ascarya: Journal of Islamic Science, Culture and Social Studies Jurnal PkM (Pengabdian kepada Masyarakat) Humantech : Jurnal Ilmiah Multidisiplin Indonesia Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Journal Of Human And Education (JAHE) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Algoritma Jurnal Ticom: Technology of Information and Communication Berita Kedokteran Masyarakat Journal of Systems Engineering and Information Technology J-Icon : Jurnal Komputer dan Informatika Jurnal Teknik Indonesia Research Horizon Jurnal Relawan dan Pengabdian Masyarakat REDI Jurnal Pengabdian Masyarakat Nasional Health Dynamics Jurnal Ticom: Technology of Information and Communication The Indonesian Journal of Computer Science Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Prosiding SeNTIK STI&K Journal of Medical and Health Science Jurnal Ilmu Kesehatan Immanuel Jurnal Analogi Hukum
Arief Wibowo
Universitas Budi Luhur
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RFM Analysis Application for Customer Loyalty Identification in Bodywork PT. Bengawan Karya Sakti Purwadi, Purwadi; Yudanto, Satyo; Wibowo, Arief
Dinamik Vol 30 No 2 (2025)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v30i2.10204

Abstract

The bodywork industry in Indonesia is under high competitive pressure, requiring companies to be more adaptive in understanding customer behavior in order to maintain business continuity. PT. Bengawan Karya Sakti as one of the national bodywork companies, has not optimally utilized historical transaction data to assess customer loyalty. This study aims to identify customer loyalty segmentation through the application of the RFM (Recency, Frequency, Monetary) method, which is used to analyze sales transaction data in 2022 and 2023. The study uses the CRISP-DM approach which includes the stages of business understanding, data exploration, data cleaning and processing, modeling, evaluation, and implementation of results. The transaction data analyzed includes attributes of transaction date, customer, number of transactions, and transaction value, which are then processed into RFM scores based on the transaction year and classified into categories such as Very Loyal, Loyal, At Risk, and others. The segmentation results show an increase in the number of very loyal customers from 2022 to 2023, as well as a significant decrease in inactive and at-risk customers. The chi-square statistical test shows that the difference in customer distribution between years is statistically significant (p-value <0.05), indicating a real influence from the company's strategy or external factors. The main conclusion of this study is that the RFM method is effective in the bodywork industry to support data-based marketing decision making and more targeted customer retention strategies.
PENDEKATAN PARTISIPATIF DALAM PEMETAAN USAHA PERIKANAN UNTUK MENDUKUNG TATA KELOLA PERIKANAN DI KABUPATEN LEBAK Karyaningsih, Dentik; Fernando, Donny; Sugiyarta, Ahmad; Wibowo, Arief; Hadi, Irfan
Jurnal Pengabdian Masyarakat Nasional Vol 5, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v5i1.34154

Abstract

Tata kelola perikanan di Kabupaten Lebak menghadapi tantangan berupa keterbatasan data akurat dan terkini mengenai lokasi usaha para pelaku usaha perikanan. Kegiatan pengabdian ini bertujuan melakukan pemetaan lokasi usaha perikanan dengan google business untuk mendukung tata kelola perikanan pada dinas perikanan kabupaten. Metode yang digunakan adalah pendekatan partisipatif melalui wawancara langsung dengan pelaku usaha di lokasi usaha masing-masing. Data yang dikumpulkan di antaranya adalah  identitas usaha, mapping kordinat geografis, marketplace/ social media yang dimiliki dan kapasitas produksi. Pengolahan data menggunakan teknologi Google Maps API untuk menghasilkan peta digital yang akurat. Hasil kegiatan menunjukkan berhasilnya pemetaan 130 pelaku usaha perikanan yang terdiri dari 34 nelayan (27%), 74 pembudidaya (57%), dan 22 pengolah (16%) yang tersebar pada 28 kecamatan di Kabupaten Lebak. Database terintegrasi dan sistem pemetaan digital berbasis Google Maps API berhasil dikembangkan, memberikan informasi akurat mengenai sebaran geografis, karakteristik usaha, dan kondisi pelaku usaha perikanan. Pendekatan partisipatif melalui wawancara langsung terbukti efektif menghasilkan data yang akurat dan mendapat respons positif dari pelaku usaha. Sistem ini memungkinkan Dinas Perikanan Kabupaten Lebak melakukan perencanaan program yang lebih tepat sasaran, alokasi bantuan yang efektif, dan monitoring sektor perikanan secara berkelanjutan.
Penerapan Data Mining pada Suku Bunga Investasi Deposito di Indonesia Menggunakan Metode K-Means Clustering untuk Pengelompokan Profitabilitas Sasongko, Raden; Wibowo, Arief
Ascarya: Journal of Islamic Science, Culture, and Social Studies Vol. 2 No. 1 (2022)
Publisher : Perkumpulan Alumni dan Santri Mahyajatul Qurro'

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Abstract

Investment in Indonesia has several types, one of which is deposits through banks, namely individual or collective customers lending excess funds to banks and channeling them in the form of credit. This research is about clustering on several Banks, those are Regional, Private, Foreign, Persero and General Banks which have different interest rates for investments. The method used in this study is the Knowledge Discovery using Database (KDD) method, using RapidMiner tools. The algorithm used to perform clustering is the K-Means algorithm. The data that was used is data on investment credit interest rates from several banks in Indonesia obtained from BPS (Central Statistics Agency) Indonesia. This data is taken from 2009-2020. The clustering results obtained are 3 clusters, where cluster 1 is Regional Bank, which turns out to have stable and high loan interest rates, then cluster 2 is Foreign Bank, which also has the lowest and unstable interest rate. While cluster 3 is a private bank and a state-owned company, these two banks have similar interest rates and levels of stability. In addition, these two banks are in the middle for investment options.
PEMBERDAYAAN PEMUDA PROGRAM KESETARAAN MELALUI WORKSHOP MC, EDITING VIDEO, DAN MOTIVASI KULIAH DI PKBM RABBANI MULIA Anggraini, Julaiha Probo; Kutanto, Haronas; Wibowo, Arief
Jurnal Pengabdian Masyarakat Nasional Vol 5, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v5i1.34246

Abstract

Pemuda peserta program kesetaraan di Pusat Kegiatan Belajar Masyarakat Rabbani Mulia menghadapi tantangan dalam memperoleh keterampilan praktis yang dibutuhkan untuk meningkatkan daya saing di dunia kerja serta melanjutkan pendidikan tinggi. Program pengabdian kepada masyarakat ini bertujuan untuk memberdayakan pemuda melalui pelatihan keterampilan memandu acara, penyuntingan video dasar, serta sesi motivasi kuliah dan informasi beasiswa guna membuka wawasan peserta terhadap peluang pendidikan tinggi dan cara mencapainya. Metode yang digunakan adalah pembelajaran berbasis pengalaman, dengan memberikan kesempatan praktik langsung melalui simulasi, diskusi kelompok, dan pendampingan oleh tiga dosen ahli. Hasil kegiatan menunjukkan peningkatan keterampilan komunikasi lisan, kemampuan teknis dalam penyuntingan video, serta peningkatan motivasi peserta dalam merencanakan studi lanjut. Program ini juga menghasilkan dokumentasi kegiatan yang disebarluaskan melalui media sosial dan portal informasi lembaga. Implikasi dari kegiatan ini menunjukkan bahwa pendekatan pembelajaran berbasis pengalaman efektif dalam meningkatkan kapasitas, kepercayaan diri, dan kesiapan peserta dalam menghadapi tantangan dunia kerja maupun pendidikan tinggi. Dengan demikian, kegiatan ini berkontribusi dalam memperluas akses dan peluang pengembangan potensi akademik dan profesional bagi pemuda peserta program kesetaraan.
Perceived Behavior Model for Heart Disease Prevention in BPJS Mandiri Participants: A Health Belief Approach Riza, Yeni; Budiarto, Wasis; Haksama, Setya; Kuntoro, Kuntoro; Yudhastuti, Ririh; Wibowo, Arief; Notobroto, Hari Basuki; Fadmi, Fitri Rachmillah
Health Dynamics Vol 2, No 7 (2025): July 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20705

Abstract

Background: Heart disease remains a leading cause of death globally and is increasingly prevalent in Indonesia. Preventive behavior plays a crucial role in reducing the burden of this disease, especially among populations with limited healthcare access. This study aims to develop a Perceived Behavior Model based on the Health Belief Model combined with WHO's STEPWise approach to enhance health quality related to heart disease prevention behaviors. Methods: This observational cross-sectional study examined demographic factors, perceived susceptibility, seriousness, barriers, benefits, self-efficacy, and cues to action regarding heart disease preventive behavior. Participants adopted preventive measures such as maintaining a healthy diet, refraining from smoking, avoiding alcohol consumption, and staying physically active. The study surveyed 435 individuals from the total 82,232 BPJS Mandiri (self-paying participants of Indonesia’s National Health Insurance system) members in Banjarmasin, Indonesia, without any intervention. Data analysis was conducted using the Partial Least Square (PLS) method with SmartPLS software version 3.29. The full model of structural equation modeling and theory confirmation also examined the presence or absence of relationships between latent variables. Result: The study found a direct and positive effect of demographic factors on perceived susceptibility, perceived seriousness, perceived benefits, perceived barriers, and self-efficacy, as well as on perceived susceptibility and seriousness regarding heart disease preventive behaviour. Conclusions: Understanding these cultural influences can guide policymakers in strengthening prevention strategies within Indonesia’s Social Security Agency of Health system, reducing financial burdens, and improving public health outcomes. These insights may also inform global discussions on culturally tailored health interventions. 
Immune response in IGF-1 and growth parameters among infected children Ardianah, Eva; Widjaja, Nur Aisiyah; Indriani, Diah; Melaniani, Soenarnatalina; Kuntoro; Wibowo, Arief; Notobroto, Hari Basuki; Purnomo, Windhu; Indawati, Rachmah; Saputro, Sigit Ari; Santoso, Febrina Mustika; Puspitasari, Ria; Pebriaini, Prisma Andita; Nurfidaus, Yasmine; Irawan, Roedi; Hidayat, Boerhan; Hidayati, Siti Nurul; Hanindita, Meta Herdiana
BKM Public Health and Community Medicine Vol 41 No 08 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v41i08.18379

Abstract

Purpose: Infections in children can affect weight gain and linear growth by influencing metabolism and nutrition. Chronic inflammation results in growth failure mediated by pro-inflammatory cytokines and poor nutritional intake, which affects the GH/IGF-1 axis. This study aimed to investigate the impact of the inflammatory response on children's anthropometry, particularly HAZ, and the role of IGF-1. Methods: An observational study with a cross-sectional design was conducted from September 2021 to July 2022. The study involved children diagnosed with infections. The subjects had undergone a physical and laboratory investigation, which included a thorax photo, urine culture, Mantoux test, and complete blood test in a hospital setting. A complete medical history was obtained from the pediatrician. Results: The prevalence of undernutrition was 37.33%; the prevalence of underweight/severely underweight, stunted/severely stunted, and wasted/severely wasted was 25.33%, 30.66%, and 14.67% respectively. Stunted/severely stunted was more prevalent in subjects under 2 years old, compared to subjects more than 2 years old (22/41 vs. 7/34, p=0.014). SEM analysis revealed that the inflammatory response affected IGF-1 levels (r=0.850, p=0.000), while IGF-1 affected body composition (r=0.245, p=0.025), and then affected HAZ (r=1.000, p=0.000). The effect of IGF-1 on HAZ appears to be indirect, acting through body composition. Parental height has a weak, albeit significant, effect on body composition (r=0.101, p=0.025) and HAZ (r=0.192, p=0.040). Univariate analysis revealed strong correlations between IL-6 and IL-10 and IGF-1 (r=0.870, p=0.000 and 0.876, p=0.000, respectively). In contrast, parental height showed a correlation with HAZ/LAZ (r=0.319, p=0.000). Maternal height was correlated positively with WAZ (r=0.320, p=0.044). Conclusion: The prevalence of stunting among children under two years of age indicates that early childhood constitutes a critical period for intervention in growth and development. Inflammatory response has been demonstrated to influence IGF-1 levels in children. The role of IGF-1 on HAZ was mediated by body composition.
Twitter Public Sentiment towards Vasectomy in Indonesia Using SVM and Naïve Bayes Febrilliani, Jihan Sastri; Wibowo, Arief
Research Horizon Vol. 5 No. 4 (2025): Research Horizon - August 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.4.2025.756

Abstract

Social media has experienced rapid growth in various sectors, including the health sector. Active users of social media or often called netizens, are quite active in the health community by sharing information and experiences. access to social media is the main means of finding information related to health. This study aims to find out public sentiment on the issue of vasectomy using the SVM and Naïve Bayes methods. This research collects data from social media platforms (X) or Twitter, using several keywords related to vasectomy which has recently become a hot topic in the Indonesian community. The results of this study showed that using the Support Vector Machine (SVM) algorithm and Naïve Bayes as a comparison obtained an accuracy performance of 71% for the support vector machine method and 51% for the naïve bayes method. The findings provide insights for policymakers and health advocates on addressing misconceptions and stigma surrounding vasectomy. The findings suggest to develop a more comprehensive Indonesian sentiment dictionary, use multi-platform data, and apply advanced NLP techniques to better capture cultural and contextual nuances.
EFEKTIVITAS INSTALASI PENGOLAHAN AIR LIMBAH SECARA BIOLOGIS AEROBIK TERHADAP PENURUNAN KADAR COD, BOD, PH, TSS DAN MPN COLIFORM DI RUMAH SAKIT PARU DR. H. A. ROTINSULU Wibowo, Arief; Linda; Yogisutanti, Gurdani
Jurnal Ilmu Kesehatan Immanuel Vol. 17 No. 1 (2023): Jurnal Ilmu Kesehatan Immanuel
Publisher : Institut Kesehatan Immanuel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36051/jiki.v17i1.208

Abstract

Rumah sakit sebagai tempat pelayanan kesehatan yang dirancang, dioperasikan, serta dipelihara dengan memperhatikan aspek kesehatan manusia dan lingkungan yang mencakup kebersihan fisik, limbah padat, limbah cair, air bersih, dan serangga atau binatang pengganggu. Diperlukan sistem pengolahan air limbah rumah sakit, sehingga ketika di keluarkan ke lingkungan tidak memiliki dampak bagi lingkungan. Tujuan penelitian ini adalah menganalisis efektivitas pengolahan air limbah secara biologis aerobik di RS Paru Dr. H. A. Rotinsulu dengan parameter COD, BOD, ph, TSS dan MPN Coliform tahun 2021. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan desain penelitian quasi experiment. Berdasarkan penelitian yang telah dilakukan didapatkan pengolahan air limbah rumah sakit dengan sistem biologis aerobic di RS Paru Dr. H. A. Rotinsulu efektif dalam menurunkan kadar parameter yaitu COD sebesar 58,03%, TSS sebesar 55,24%, MPN Coliform sebesar 99,89%. Sistem pengolahan air limbah masih belum efektif dalam menurunkan parameter pH yaitu mengalami kenaikan dari 7,36 menjadi 7,56 tetapi masih memenuhi baku mutu. sementara untuk BOD meskipun terdapat penurunan sebesar 58,53%, namun hasil penurunan tersebut tidak memenuhi baku mutu dan dapat dikatakan tidak efektif. Untuk dapat hasil outlet yang baik dan memenuhi standar baku mutu diharapkan  tenaga  sanitarian  agar  melakukan  pemantauan  atau  pengecekan  berkala  sehingga mencegah terganggunya proses pengolahan air limbah Kata Kunci: limbah rumah sakit, sistem pengolahan air limbah, efektivitas
Penerapan Algoritma Forward Chaining Untuk Mendiagnosa Penyakit Pernapasan Pada Klinik Mitra Bhakti Sadewo, Bayu; Wibowo, Arief
Jurnal Ticom: Technology of Information and Communication Vol 11 No 1 (2022): Jurnal Ticom-September 2022
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70309/ticom.v11i1.53

Abstract

Klinik setiap harinya selalu mengakomodir serta mengelola data pasien yang berkonsultasi dan berobat dengan dokter. Namun, dalam konsultasi diklinik masih dirasa kurang baik, karena pendataan yang manual sehingga menghambat waktu dan menyebabkan antrean pada saat ingin berkonsultasi sehingga membuat lambatnya pasien saat ingin menemui dokter. Pada wawancara penelitian fasilitas pada klinik Mitra Bhakti menjelaskan bahwa memiliki keluhan yang banyak pada pasien penyakit pernapasan. Pasien yang merasakan sakit pada sistem pernapasan ingin secepatnya berobat dan berkonsultasi dengan dokter karena dari penyakit tersebut memiliki gejala yang mengganggu pada kegiatan sehari-hari contohnya pada gejala batuk, ada batuk berdahak dan batuk tidak berdahak. Dengan masalah yang dijabarkan penelitian ini menggunakan metode forward chaining yang digunakan untuk mendiagnosis penyakit pernapasan dengan gejala-gejala yang dirasakan oleh pasien. Penelitian ini bertujuan untuk membangun aplikasi Sistem pakar Diagnosis Penyakit Pernapasan Menggunakan Metode Forward Chaining berbasis web. Berdasarkan permasalahan tersebut maka penliti ingin menyelesaikan masalah antrian yang biasa terjadi pada Klinik Mitra Bhakti, Khususnya pada penyakit pernapasan yang mana pada saat dilakukan penelitian sedang marak penyakit covid-19 yang mana orang sering beranggapan jika memiliki gejala batuk adalah penyakit covid-19. Sistem Pakar ini menggunakan metode Forward Chaining dengan data penelitian berupa gejala yang diberikan oleh pakar sebagai acuan dalam menentukan hasil diagnosis dari penyakit yang diderita pasien.Dari hasil pada pengujian 10 pasien dapat disimpulkan sistem ini dapat mendiagnosis penyakit pernapasan dengan keakuratan 70%. Oleh karena itu sistem ini diharapkan dapat membantu keefektifan dalam mendiagnosis serta konsultasi juga membantu dokter untuk menentukan kesimpulan akhir dari gejala-gejala pasien sesuai fakta dan yang ada, dan juga diharapkan agar dapat membantu pasien mengenali gejala penyakit pernapasan tanpa harus datang ke Klinik Mitra Bhakti.
Analisis Data PMB di STITEK Bontang dengan FP Growth dan Apriori Untuk Mendukung Strategi Promosi di Masa Pandemi Wibowo, Arief; Megawati, Rina; Henry
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3041

Abstract

Data on new student admissions is always available and owned by all universities, both private and public. One of the private universities that has this data is STITEK Bontang (Bontang College of Technology). This data can be used as a reference or database owned by STITEK Bontang to be used optimally. This utilization is used as strategic information for new student admissions during the pandemic. This study aims to group new student data using data mining techniques. The data mining technique used is the FP Growth algorithm and the Apriori Algorithm. For the research steps using the CRISP-DM methodThis research is used to determine the right Promotion Strategy. Determining the right promotional strategy will be able to reduce promotional costs and achieve the right promotion goals. 1) Fp-Growth and Apriori methods in building a knowledge base from a collection of student databases accepted at STITEK Bontang by showing the relationship between student identity and the study program that the student chooses. 2) Obtained the most entrances with a lift ratio of 2.
Co-Authors - Arientawati - Sumardianto Adita, Ita Afifah Khaerani Afifatussalamah, Rizka Ahmad Sururi Ahmad Sururi Akbar, Ahmad Aldizar Al Fatach, M Khabib Anggraini, Julaiha Probo Anita Diana Anugrah Sandy Yudhasti Apriati Suryani Ardhianto, Angga Ardianah, Eva Ari Wibowo Arief Umarjati Asep Permana Atik Ariesta Bayu Sadewo Bayu Satria Pratama Binarto, Antonius Jonet Boerhan Hidayat, Boerhan Danar Wido Seno Darki, Ni Wayan Yustika Agustin Diah Indriani Didik Hariyadi Raharjo Didin Muhidin Dwi Kristanto Dwi Yulianti Dyah Retno Utari Dyah Retno Utari, Dyah Retno Endah Sarah Wanty Fajar Siddik Chaniago Farah Chikita Venna Farid Setiawan Farid Setiawan, Farid Febrilliani, Jihan Sastri Fenny Irawati Fernando, Donny Firman Noor Hasan Firmanty Mustofa, Vina Fitri Nur Masruriyah, Anis Fitri Rachmilah Fadmi Fitriadi, Rifqi Fitriani, Netty Fransiska Vina Sari Frenda Farahdinna Fried Sinlae Ghapur, Abdul Gurdani Yogisutanti Hadidtyo Wisnu Wardani Hananto, Agustia Handoko, Andy Rio Hanindita, Meta Herdiana Hari Basuki Notobroto Haris Achadi, Abdul HARIYANTO HARIYANTO Harun Nasrullah Hayatul Khairul Rahmat Henry Henry Hidayat, Manarul Hidayat, Sarifudlin Huda, Ratu Najmil I MADE MINGGU WIDYANTARA, I MADE MINGGU Indah Rizky Mahartika Inge Virdyna Irfan Hadi Irfan Nurdiansyah Istiqoomatun Nisaa Iwan Irawan Jasmine, Meuthia Joko Sutrisno Jovansgha Avegad Jumaryadi, Yuwan Kanasfi, Kanasfi Karma, Ni Made Sukaryati Karyaningsih, Dentik Kresno Yulianto KRESNO YULIANTO KUNTORO Kuntoro Kuntoro Kurnia Setiawan Kutanto, Haronas Larasati, Pamela Linda Lingga Desyanita Luthfi Akbar Ramadhan Mahmudah Mahmudah Mailana, Agus Maria Adiningsih Marlina, Hesti Maskur A, Moch Riyadi Megananda Hervita Permata Sari Megawati, Rina Miftahul Arifin Miftahul Arifin Mochammad Rizky Royani Moh Makruf Muhamad Fadel Muhammad Febrian Rachmadhan Amri Muhammad Risky Mulyati Mulyati Nendi, Nendi Ningrum, Yogi Ajeng Nugroho, Angelika Pratiwi Widya Nur Aisiyah Widjaja, Nur Aisiyah Nur Rohman Nurcahya, Gelar Nurfidaus, Yasmine Nursyi, Muhamad Pattipeilohy, William Frado Pattipeilohy, William Frado Pebriaini, Prisma Andita Poppy Ruliana Pradiptha, Anindya Putri Probo Anggraini, Julaiha Purwadi Purwadi Putra, Andi Agung Putra, Rinaldi Febryatna Duriat Rachmah Indawati Rahman, Reza Rahmawati, Nur Anisah Rakhman, Abdulah Rakhmat Rakhmat Rakhmat Rakhmat RAMAYU, I Made Satrya Rangkuti, Muhammad Yusuf Rizqon Ratna Ayu Sekarwati Ratna Ayu Sekarwati Relawanto, Bowo Ria Puspitasari Rika Nurhayati Riki Ramdani Saputra Rina Megawati Ririh Yudhastuti Risaychi, Diva Ajeng Brillian Ristiana, Ina Riza, Yeni Rizkiyanto, Muhamad Ardiansyah Roedi Irawan Rojakul, Rojakul Rosita Dewi, Erni Ruliana, Poppy Rusdah Ryo Tanaka Sabirin, Sahril Sadewo, Bayu Santoso, Febrina Mustika Saptari Wijaya Mulia Sari Anggar Kusuma Melati Sari, Fransiska Vina Sasongko, Raden Satiri Satiri, Satiri Selly Rahmawati Selly Rahmawati Septian Firman S Sodiq Septiani, Riska Setya Haksama Setyowati, Erlin Shofinurdin Shofinurdin Siddik Chaniago, Fajar Sigit Ari Saputro Sigit Budi Nugroho Siregar, Sutan Syahdinullah SITI NURUL HIDAYATI Sitti Aliyah Azzahra Soenarnatalina Melaniani Sudewo, Andika Hasbigumdi Sugiyarta, Ahmad Sujiharno Sujiharno Sumarna, Presma Dana Scendi Suntoro, Dimas Fahmi Tiaharyadini, Rizka TRISNAWATI, WULAN Tulus Yuniasih Umam, Mohamad Hafidhul Vasthu Imaniar Ivanoti Wahyu Cesar Wahyu Desena Wahyudi, Widi Wahyuni, Chatarina Unggul Wangsajaya, Yosia Heartha Dhalasta Wasis Budiarto Wibiyanto, Alif Dewan Daru Widiyaningrum, Diyah Kiki Widyanto, Tetrian Windhu Purnomo Yahya Darmawan Yudanto, Satyo Zakaria Anshori Zaqi Kurniawan