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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Industri SOROT: Jurnal Ilmu-ilmu Sosial Jurnal Teknik Sipil USU JIK Jurnal Ilmu Komputer EL-MUHASABA Journal The Winners Jurnal Dimensi Pratama Teknik Sipil eDimensi Arsitektur Petra JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Widyariset MIX : Jurnal Ilmiah Manajemen Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Computatio : Journal of Computer Science and Information Systems JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Riset Manajemen dan Bisnis (JRMB) Fakultas Ekonomi UNIAT IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Intek Akuakultur JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Angkasa: Jurnal Ilmiah Bidang Teknologi Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal ULTIMA InfoSys Jurnal ULTIMATICS The Indonesian Journal of Infectious Diseases Jurnal Kartika Kimia Journal of Humanities and Social Studies Ultima Management : Jurnal Ilmu Manajemen ComTech: Computer, Mathematics and Engineering Applications MABIS: Manajemen dan Bisnis Puitika Journal of Information Systems and Informatics Majalah Ilmiah Warta Dharmawangsa International Journal of Economics, Business and Accounting Research (IJEBAR) Management Studies and Entrepreneurship Journal (MSEJ) Indonesian Journal of Pharmaceutical and Clinical Research Enrichment : Journal of Management Jurnal Bisnis dan Kewirausahaan (Journal of Business and Entrepreneurship) Widyariset STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE Journal of Economics and Business UBS Telcomatics Jurnal Ilmiah Wahana Pendidikan Journal Industrial Manufacturing Akuntansi Bisnis & Manajemen (ABM) Jurnal Paradigma Akuntansi Indonesian Andrology and Biomedical Journal Journal of Engineering Environtmental Energy and Science ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Jurnal Penelitian Ekonomi Manajemen dan Bisnis Jurnal Ilmiah Teknik Informatika dan Komunikasi IJRETINA - International Journal of Retina Jurnal Ilmiah Computer Science Jurnal Intelek Insan Cendikia Cylinder : Jurnal Ilmiah Teknik Mesin Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Modem : Jurnal Informatika dan Sains Teknologi KAFEBIS Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan
Kevin kevin
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Analisis Demografi Urbanisasi Berbasis Geographic Information System di Kota Kupang Kevin, Kevin; Larasati, Lintang; Salsabila, Nisrina; Tallo, Amandus Jong
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 16, No 1 (2024): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v16i1.1961

Abstract

Urbanisasi merupakan fenomena global yang dihadapi oleh beberapa wilayah perkotaan di Indonesia, termasuk Kota Kupang yang terdiri dari Kecamatan Alak, Kelapa Lima, Kota Lama, Kota Raja, Oebobo, dan Maulafa. Urbanisasi terjadi karena dipengaruhi oleh faktor-faktor yang mendorong terjadinya migrasi dari desa ke kota. Penelitian ini menggunakan analisis geospasial dengan Sistem Informasi Geografis (SIG) untuk mengidentifikasi faktor pendorong urbanisasi di Kota Kupang. Penelitian ini menganalisis hubungan antara kepadatan penduduk dengan lapangan pekerjaan, akses terhadap pendidikan, dan ketersediaan fasilitas umum seperti sarana ibadah, layanan internet, kesehatan, dan transportasi umum di setiap kecamatan tempat terjadinya urbanisasi. Dengan menggunakan pendekatan deskriptif kuantitatif dan overlay peta tematik demografi, ekonomi, infrastruktur, dan penggunaan lahan, hasil penelitian menunjukkan bahwa faktor kepadatan penduduk, lapangan pekerjaan, akses pendidikan, dan fasilitas umum berdampak pada keragaman demografi dan sosial di Kota Kupang
Usability Evaluation of Ticket Purchasing Applications, Case Study Public Railways in Indonesia Lisana, Lisana; Bena, Dea Almira; Sutanto, Jessica Levina; Novandyanta, Evan; Kevin, Kevin
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3566

Abstract

This study aims to evaluate the usability of a mobile-based application used to facilitate passengers in purchasing train tickets, the Access by KAI application. As an application widely used by the public, the usability evaluation is essential. The evaluation was conducted by measuring usability in three aspects: effectiveness, efficiency, and user satisfaction. The measurement involved 10 respondents who actively use the application. They performed the experiment at the usability laboratory. The level of effectiveness and efficiency was measured using task analysis, analyzing the final results of each respondent after performing five predetermined tasks. The results show that the effectiveness and efficiency of the application are good. However, the measurement of user satisfaction aspect using the SUS (System Usability Scale) method indicates less favorable results. This obviously results in poor user experience (UX) for users. Therefore, the practical implication of this study is the need for improvements to the application, both in the user interface (UI) and existing business processes, to enhance the user experience.
In Vitro Test of Anticalculi Effect from Ethyl Acetate Fraction of Chives Leaf (Allium schoenoprasum L.) Iksen; Sinaga, Siti Morin; Kevin, Kevin; Hutabalian, Marshinta Romarta Uly
Indonesian Journal of Pharmaceutical and Clinical Research Vol. 2 No. 2 (2019): Indonesian Journal of Pharmaceutical and Clinical Research
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.469 KB) | DOI: 10.32734/idjpcr.v2i2.3030

Abstract

Abstract. The purpose of this study was to analyze the ability of chives leaves of ethyl acetate fraction to dissolve calcium in human kidney stones. This research starts from making the ethyl acetate fraction, calibration curve for calcium and measuring dissolved calcium levels in kidney stones by using atomic absorption spectrophotometry. The results showed that the ethyl acetate fraction with a concentration of 2.5% had the greatest anti-calculi capability of 92.02%. The conclusion of this study is that the ethyl acetate fraction of chives leaf has the potential to be anticalculi in the treatment of kidney stones. Abstrak. Tujuan dari penelitian ini adalah untuk menganalisis kemampuan fraksi etil asetat daun kucai untuk melarutkan kalsium pada batu ginjal manusia. Penelitian ini dimulai dari pembuatan fraksi etil asetat, pembuatan kurva kalibrasi kalsium serta pengukuran kadar kalsium terlarut pada batu ginjal dengan menggunakan spektrofotometri serapan atom. Hasil penelitian menunjukkan bahwa fraksi etil asetat dengan konsentrasi 2,5 % memiliki kemampuan antikalkuli yang terbesar yakni 92,02%. Kesimpulan penelitian ini adalah bahwa fraksi etil asetat daun kucai berpotensi sebagai antikalkuli pada pengobatan batu ginjal.
Etika Dan Moral Dalam Konteks Pelayanan Platform Pinjaman Online Hafizhuddin, Azhar; Arimbi, Faren Zahra; Kevin, Kevin; H, Muhammad Najmi Mafaza
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 14 (2024): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13401740

Abstract

Perkembangan di berbagai sektor kehidupan menandai perkembangan teknologi yang semakin masif. Salah satunya adalah sektor ekonomi yang berdampak pada sektor sosial masyarakat. Munculnya platform pinjaman online sebagai hasil dari perkembangan teknologi telah mengubah sisi sosial masyarakat Indonesia. Kemudahan dalam melakukan pinjaman hanya dengan menggunakan gadget yang mereka miliki telah meningkatkan jumlah orang yang melakukan pinjaman melalui platform online. Namun, meskipun memberikan kemudahan, berbagai masalah muncul. Mulai dari pelanggaran privasi bagi masyarakat sebagai pengguna platform pinjaman online hingga pelanggaran etika dan moral oleh pelaku bisnis sebagai penyedia platform dalam penagihan utang yang mengakibatkan kehilangan nyawa pelanggan akibat perilaku ini. Dalam penelitian ini, akan dibahas hal-hal yang berkaitan dengan munculnya pinjaman online dalam masyarakat, layanan di platform pinjaman online, perlindungan bagi pelanggan pinjaman online, dan kasus-kasus platform pinjaman online ilegal yang akan dibahas berdasarkan konsep etika dan moral. Penelitian ini dilakukan untuk menemukan cara mengatasi masalah yang timbul akibat fenomena pinjaman online dalam masyarakat.
PENGARUH DISIPLIN KERJA DAN LINGKUNGAN KERJA FISIK TERHADAP KINERJA KARYAWAN PADA PT MEGA JAYA KREASI JAKARTA UTARA Kevin Kevin; Hendra Winarsa
Jurnal Intelek Insan Cendikia Vol. 1 No. 9 (2024): NOVEMBER 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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

Abstract

Penelitian ini bertujuan mengetahui pengaruh disiplin kerja dan lingkungan kerja fisik terhadap kinerja karyawan PT Mega Jaya Kreasi Jakarta Utara. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan pendekatan desktiptif. Teknik pengambilan sampel yaitu sampling total atau sensus yakni seluruh karyawan PT Mega Jaya Kreasi Jakarta Utara yang berjumlah 60 responden. Pengumpulan data melalui kuesioner atau angket. Metode analisis data yang digunakan yaitu uji validitas, uji reliabilitas, uji normalitas, uji multikolinearitas, uji heteroskedastisitas, uji autokorelasi, analisis regresi linear, analisis koefisien korelasi, analisis koefisien determinasi, uji t, dan uji f dengan menggunakan SPSS Versi 26. Hasil penelitian ini adalah disiplin kerja secara parsial berpengaruh positif dan signifikan terhadap kinerja karyawan dengan nilai koefisien korelasi sebesar 0,730 yang artinya kedua variabel memiliki hubungan yang kuat, nilai koefisien determinasi 53,3% dan uji hipotesis t diperoleh thitung > ttabel atau (8,132 > 2,00172) dan nilai signifikansi < 0,05 (0,000 < 0,05) maka H0 ditolak dan H1  diterima. Hasil penelitian ini adalah lingkungan kerja fisik secara parsial berpengaruh positif dan signifikan terhadap kinerja karyawan dengan persamaan regresi Y = 18,413 + 0,554X2. Nilai koefisien korelasi sebesar 0,799 yang artinya kedua variabel mempunyai hubungan yang kuat, nilai koefisien determinasi  63,8%  dan  uji  hipotesis  t  diperoleh  thitung   >  ttabel   atau  (10,117  > 2,00172) dan nilai signifikansi < 0,05 (0,000 < 0,05) maka H0  ditolak dan H2 diterima.  Hasil  penelitian  ini  adalah  disiplin  kerja  dan  lingkungan  kerja  fisik secara simultan  berpengaruh positif dan  signifikan  terhadap  kinerja karyawan dengan  persamaan  regresi  Y  =  15,129  +  0,233X1  +  0,402X2,  nilai  koefisien korelasi sebesar 0,820 yang artinya kedua variabel mempunyai hubungan yang sangat kuat, nilai koefisien determinasi 67,3% dan uji hipotesis f diperoleh fhitung > ftabel atau (58,664 > 3,159) dan nilai signifikansi < 0,05 (0,000 < 0,05) maka H0 ditolak dan H3 diterima, artinya variabel disiplin kerja dan lingkungan kerja fisik berpengaruh positif dan signifikan secara simultan terhadap kinerja karyawan.
KLASIFIKASI KAIN TENUN BERDASARKAN TEKSTUR & WARNA DENGAN METODE K-NN Kevin, Kevin; Hendryli, Janson; Herwindiati, Dyah Erny
Computatio : Journal of Computer Science and Information Systems Vol. 3 No. 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v3i2.6028

Abstract

Image classification of woven cloth based on texture and color using Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments and classification method KNearest Neighbour (KNN) is an application for classifying motive on woven cloth. The development of this application is using Python language programming for classification system and Android studio which using Java language programming as Front-end. Classification system consist of two main process namely feature extraction process and classification process. Feature extraction process is using GLCM, LBP and Color Moments which produce feature vector for every method and classification process is using KNN method. Feature used for classification process is feature vector which has best result. Based on experiment result, the best method that produce best feature vector is LBP method with accuracy percentage higher than other method.  Klasifikasi citra kain tenun berdasarkan tekstur dan warna dengan metode Gray Level Cooccurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments dan metode klasifikasi K-Nearest Neighbour (KNN) merupakan aplikasi yang digunakan untuk mengklasifikasi motif yang ada pada kain tenun. Pembuatan aplikasi ini menggunakan bahasa pemrograman Python sebagai sistem klasifikasi dan Android studio yang menggunakan bahasa pemrograman Java sebagai Front-end. Sistem klasifikasi dibagi menjadi dua proses utama yaitu proses ekstraksi fitur dan proses klasifikasi. Proses ekstraksi fitur dilakukan dengan metode GLCM, LBP dan Color Moments yang menghasilkan fitur vektor untuk setiap metode dan proses klasifikasi dilakukan dengan metode K-NN. Fitur yang digunakan dalam proses klasifikasi adalah fiturvektor yang memiliki hasil terbaik. Berdasarkan hasil pengujian yang telah dilakukan, metode yang dapat menghasilkan fitur terbaik adalah metode LBP dengan persentase akurasi lebih tinggi dibandingkan dengan dua metode lainnya.
ANALISIS REKONSILIASI FISKAL PT DINAMIKA PRATAMA TAHUN 2020 Kevin, Kevin; Widjaja, Purnamawati Helen
Jurnal Paradigma Akuntansi Vol. 6 No. 4 (2024): Oktober 2024
Publisher : Fakultas Ekonomi, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jpa.v6i4.32349

Abstract

The purpose of this research is to determine the application of fiscal reconciliation to PT Dinamika Pratama commercial financial statements in 2020 and find out whether the PT Dinamika Pratama has calculated the Corporate Income Tax Payable under the law’s current tax. The method used in this research is qualitative descriptive analysis and the method of data collection is done through observation,documentation, and interviews with the company.The objects used are commercial financial statements 2020,corporate income tax ,and corporate annual tax return 2020.The results of the study indicate that the preparation of the fiscal financial statements at PT Dinamika Pratama is not in accordance with the UU PPh No 36 Tahun 2008,so it has an impact on the calculation of corporate income tax payable.
Evaluation of Pedulilindungi Applications in the Jabodetabek Region Kevin, Kevin; Jayadi, Riyanto
Journal of Economics and Business UBS Vol. 12 No. 1 (2023): Regular Issue
Publisher : Cv. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/joeb.v12i1.138

Abstract

This paper will explain the result of evaluation using combination between technology acceptance model (TAM) and updated DeLone and McLean IS success model. The objective of this research is to analyze correlation between system quality, information quality, service quality, perceived risk, attitude, and actual use in moderation of age which is the factor influencing technology acceptance model of PeduliLindungi. The method of research is to analyze the relationship between variable stage before. The data collection techniques used in this paper is using questionnaire and Likert scale. The data analysis method in this study uses partial lease square (PLS) to do validity test, reliability test and hypothesis analysis. The result of this paper is the technology acceptance model of PeduliLindungi which has strong influence to increase users’ attitude that would increase users actual use.
Strategi Pengelolaan Sampah di Kawasan Wisata Ancol dalam Mendukung Pariwisata Berkelanjutan Kevin Kevin; Wiwik Nirmala Sari
Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan Vol. 5 No. 1 (2026): Januari: Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jempper.v5i1.5749

Abstract

The dense tourism activities in urban coastal areas such as Taman Impian Jaya Ancol create complex ecological consequences, particularly in waste management, which directly affects environmental quality and the image of the tourism destination. The cleanliness issue in this area not only impacts aesthetic aspects but also reflects the effectiveness of destination governance. Tourism sustainability is difficult to achieve if waste management systems fail to adapt to the dynamic behavior of visitors and increasing environmental pressures. This condition raises a fundamental question regarding what kind of waste management strategy can be effectively implemented to support sustainable tourism in the Ancol tourism area, and how policies, infrastructure, and community participation contribute to this effort. This study aims to analyze waste management strategies in the Ancol Tourism Area within the context of sustainable tourism development. The research employs a qualitative descriptive approach using the Systematic Literature Review (SLR) method based on thirty journals related to waste management practices in coastal tourism areas. The analysis was conducted through identification, selection, and synthesis of data to understand management patterns and implementation challenges. The findings show that successful waste management is influenced by infrastructure availability, community participation, regulatory consistency, and adaptive technological innovation. The recommended strategies include a dynamic-load cleaning management system, community-based monitoring system, mini waste stations, circular economy principles, and cross-sector collaborative governance. These findings emphasize the importance of integrating technical and social strategies to strengthen waste management systems and promote coastal destination sustainability.
Trends and Keyword Networks in Machine Learning-Based Click Fraud Detection Research Kevin, Kevin; Hermawan, Aditiya
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4131

Abstract

The rapid advancement of the digital economy has significantly increased the use of online advertising while concurrently giving rise to critical challenges, particularly in the form of click fraud”a manipulative act that harms advertisers by generating fraudulent clicks on digital advertisements. As click fraud attack patterns grow increasingly complex, machine learning (ML)-based research has emerged as a principal approach for detecting and mitigating these threats. This study aims to map the research landscape of ML-based click fraud detection through a bibliometric analysis to identify publication trends, patterns of international and institutional collaboration, and key thematic domains within this field. Employing a bibliometric methodology, the study analyzed 61 publications retrieved from Dimensions.ai spanning the years 2015–2024. The data were collected, refined using OpenRefine, and visualized with VOSviewer to examine keyword co-occurrences and research trends. The findings reveal a marked increase in publication volume since 2019, with dominant contributions from India, China, Saudi Arabia, and the United States. Furthermore, four principal research clusters were identified: cybersecurity, the relationship between click fraud and the digital advertising industry, dataset processing and evaluation techniques, and the development of ML-based detection systems. Each cluster offers practical contributions in areas such as system protection strategies, ad budget optimization, improved detection accuracy, and the development of scalable, real-time detection solutions. Recent trends highlight growing scholarly interest in model performance evaluation and the challenges posed by class imbalance (class skewness). This study concludes that more effective data management and the development of adaptive ML models capable of addressing evolving attack patterns are pivotal for future research. By providing a clearer mapping of current trends, this study aims to support the scientific community in developing more accurate and efficient click fraud detection strategies, thereby strengthening the integrity of the global digital advertising ecosystem.
Co-Authors Aditiya Hermawan Afdhal, Muhammad Agus Zainul Arifin Agus Zainul Arifin Agusnan, Sri Alfirano Alfirano Amandus Jong Tallo Amir Mahmud Husein, Amir Mahmud Anderson, Ricky Andi Andi Andik Yulianto Andri Wijaya Angelus, Michael Aning Kesuma Putri, Aning Kesuma Antira, Lady Ari Mulianta Ginting, Ari Mulianta Arimbi, Faren Zahra Ario Nugroho Suprapto Arninda, Arninda Arta Tri Narta Aslama, Fathiy Zakaria Assyeh Annasrul Majid Assyeh Annassrul Majid Atmaja, Maxwell Bachri, Karel Octavianus bagus Mulyawan Bena, Dea Almira Carmel Meiden Catherine Catherine Catherine Olivia Sereati Christian Herdinata Christiani, Agustina Citra Wahyuningrum Dali Santun Naga Darius Andana Haris Dedek Kusnadi Dennis Andry, Dennis Dharma Lesmono Dubbert, Juventia Dudi Anandya Dyah Erny Herwindiati Dyah Erny Herwindiati Edo Stanzah Edy Edy edy susanto Edy Susanto Efendi Mabruri Enjeli, Margareta Erlita, Erlita Fadillah Fadillah Faqqih Badruzzaman Fransiska, Silvia Gunawan, Nico H, Muhammad Najmi Mafaza Hafiz Irsyad Hafizhuddin, Azhar Halim Putera Siswanto Hendra Winarsa Hendryli, Janson Hutabalian, Marshinta Romarta Uly I'tishom, Reny Iksen, Iksen Ishak Ishak Iskandar, Hari Janson Hendryli Jayadi, Riyanto Jeanny Pragantha Jesselyn, Gloria Iverose Jessicca, Jessicca Jesson, Jesson Johanes Fernandes Andry Junaedi Junaedi Kertanegara, I Wayan Alvin Kinley Aritonang Lady Antira Larasati, Lintang Laurentius, Laurentius Lie, Melvin Lisana Lisana Lumenta, Marly Lutfiamida, Rifna M Ezar Al Rivan Mahendra, A Majid , Assyeh Annasrul Majid, Assyeh Annasrul Martha, Lidya Ma’ruf, Nardyawan Arifi Meldawati , Lucyani Misrianto, Misrianto moch syaiful anwar Muhammad Yudhistira Azis, Muhammad Yudhistira Muzahar Nareswari Ratimaya Tisti, Trenggoweni Narta, Arta Tri Nasrun, Aja Natasya Natasya Nina Yusnita Yamin Novandyanta, Evan Novario Jaya Perdana Pinandita, Aria Prof. Dr. Ir. Dali S. Naga, MMSI Prya Artha Widjaja Purnama, Michael Putra, Mochamad Resya Putri, Rizkya Dwiananda Rahayu Ningsih Rahayu, Priskila Christine Ranope, Jumas Raphael C., Raphael C. Restuti Hidayani Saragih Rianto Nurcahyo, Rianto Rino Rino Rizkiliano, Ibrahim Hanif Robin Robin, Robin Rofilah, Salsazahra Rostina, Cut Fitri Saefudin Saefudin Salsabila, Nisrina Seng Hansun Sentosa L., Sentosa L. Setiawan, Johan Sihotang, Lenni Evalena Siswanto, Felicia Siti Morin Sinaga Sitorus, Friska Darnawaty Sofyan, Silvia Solikah, Al Milatus Stanzah, Edo Sudana, Nathan Kunta Susetyo, Eprafoditus Kristiadi Sutanto, Jessica Levina Suwarno Liang Tandililing, Elia Madatu Theresia Woro Damayanti Viny Christanti M Waruwu, Lilis Risna Wella, Wella Widjaja, Purnamawati Helen Wiwik Nirmala Sari Wiwin Kusuma Atmaja Putra Yuliana Yusuf Kurnia, Yusuf Zagoto, Mariana Erfan Kristiani Zurmailis Zurmailis