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All Journal Jurnal Ilmu Komputer Techno.Com: Jurnal Teknologi Informasi Jurnal JSIKA Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Majalah Ekonomi Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian UNDIKMA Infotech: Jurnal Informatika & Teknologi Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat IJORER : International Journal of Recent Educational Research Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Visi Pengabdian Kepada Masyarakat Jurnal Abdimas Bina Bangsa Journal of Technology and Informatics (JoTI) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Abdi Masyarakat Indonesia Empiricism Journal Jurnal Sistem Informasi Universitas Dinamika KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi EKOBIS ABDIMAS : Jurnal Pengabdian Masyarakat Jurnal Ragam Pengabdian
Julianto Lemantara
Universitas Dinamika
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Implementasi Sistem Pendukung Keputusan untuk Pemilihan Siswa Berprestasi di Sekolah Menengah Atas dengan Metode AHP dan TOPSIS Adhim Jati Kusuma; Adjie Pramana Putra; Julianto Lemantara
KOMUNIKA : Jurnal Komunikasi, Media dan Informatika Vol 10 No 2 (2021): Komunika
Publisher : BPSDMP KOMINFO Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31504/komunika.v10i2.4488

Abstract

Karena tingginya tingkat kompetisi antar siswa maupun antar sekolah, maka Sekolah Menengah Atas (SMA) perlu melakukan seleksi siswa berprestasi untuk memunculkan kemauan bersaing antar siswa secara sehat dengan melibatkan berbagai pertimbangan. Adapun pertimbangan kriteria didalamnya yaitu nilai akademik, prestasi non akademik, sikap, perilaku, bakat, riwayat organisasi, dan penilaian ekstrakurikuler berdasarkan kurikulum 2013. Saat ini, banyak SMA melakukan proses penilaian secara manual sehingga membutuhkan waktu 1-2 minggu. Selain itu, proses pemilihan siswa berprestasi untuk kegiatan perlombaan juga masih melibatkan subjektivitas dari beberapa guru saja yang mengindikasikan kurang optimalnya hasil yang didapatkan karena menandakan adanya keberpihakan. Oleh karena itu, dibangunlah aplikasi Sistem Pendukung Keputusan (SPK) pemilihan siswa berprestasi dengan metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dengan model pengembangan Extreme Programming. Untuk proses pengujian fungsi aplikasi SPK ini dilakukan dengan metode Black-Box serta pengujian tingkat keakurasian menggunakan 104 sampel dan 6 kriteria yang ada dengan membandingkan antara hasil aplikasi dan hasil perhitungan secara manual. Hasil penelitian menunjukkan pengguna SPK ini dapat terbantu untuk menyelesaikan pemilihan siswa berprestasi dengan waktu kurang dari 20 menit. Tingkat keakurasian yang dihasilkan oleh aplikasi ini mencapai 100%.
Exploring Online Evaluation Development : A Bibliometric Approach M.J. Dewiyani Sunarto; Bambang Hariadi; Edo Yonatan Koentjoro; Pradita Maulidya Effendi; Julianto Lemantara; Erwin Soetomo
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 9, No 3 (2023): September
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v9i3.8775

Abstract

This study aims to explore the growth of online evaluation to give a comprehensive overview and identify research in the trending field and recommendations for further research that can be developed. This study used a bibliometric approach with descriptive methods from documents in the last ten years of the Scopus database. Quantitative and qualitative analyses were performed using data collected from numerous scientific reference sources to determine development trends, the most popular subjects, and the contributions of eminent scholars. The analysis’s findings indicated that student evaluations of courses and teachers were the most commonly discussed subjects. However, in subsequent years, interest had changed to e-learning, higher education, assessment, and evaluation. Recent scientific articles further emphasized the significant impact Covid-19 had had on altering the evaluation process, placing particular attention on online learning. With the advancement of research on artificial intelligence in education, this study also outlined prospects and challenges in online evaluation research. We found thirteen publications covering Chat GPT for educational purposes by obtaining data from articles published in the most recent year in the Scopus database. This study offered a comprehensive view of the evolution of online evaluation through a bibliometric method, covered pertinent topics, and provided a basis for academics to carry out the most recent research in this area.
Sistem Pendukung Keputusan Pengoptimalan Pembagian Tugas dengan Kombinasi Metode Hungarian dan Permutasi Julianto Lemantara
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1778.745 KB)

Abstract

In order to solve the assignment problems, so far commercial applications only offer one optimal solution and cannot handle the assessment process that has some criteria, such as Microsoft Excel and WinQSB. Limitations of commercial applications have been already solved in previous research, however, it still have two deficiencies, i.e. a number of tasks and workers have to be same and cannot include subcriteria. When the application is able to handle the deficiencies, it will be aimed to solve the real case more properly. The proposed methods to solve the assessment problem are Hungarian and Permutation method. This paper implements a method, called System Development Life Cycle (SDLC) in the waterfall model. Through new assignment application, the optimal solution that is offered to the decision maker may have more than one solution, which the number of tasks can be different with the number of workers. Furthermore, the assignment application is able to produce solution for the assignment problem comprehensively because the task assessment has included criteria and subcriteria.
Analisis dan Desain User Interface dan User Experience dengan Pendekatan User Persona Berbasis Design Thinking Reva Eka Prasetyo; Tan Amelia; Julianto Lemantara
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 3 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i3.2853

Abstract

Picnicker is a startup that is engaged in tourism where its services provide information for tourists who want to find it easy to find information and gain access to local tourist attractions by purchasing tickets online and validating entry to tourist attractions without queuing to reduce the risk of contracting Covid-19 in the middle of the world. pandemic. The current problem is that the Picnicker startup requires a platform that can accommodate a collection of information about tourist destinations, tourist locations, and tourist attraction tickets in forming a product that will be built to achieve a minimum viable product (MVP), which of course has aspects, one of which is the User Interface and User Experience. This study uses the Design Thinking method which there are 5 stages, namely empathize, define, ideate, prototype, and test. In addition, the reason for using the Design Thinking method is because of the process of creating new innovative ideas to solve problems in developing new application products and for measuring user experience using the HEART Metric framework developed by Google to measure the level of success of UX on a product. Based on the analysis and design of the user interface and user experience at the Picnicker startup with a user persona approach based on design thinking, the success of User Experience carried out using the Google Heart Metric Framework was 0.762 and greater than r-table 0.284 by performing a reliable test using Cronbach Alpha which is shown to 23 questions and from the Heart Metric Framework indicators there are 5 indicators, namely happiness, engagement, adaptation, retention, and task success where the average percentage is 55.1%, which means that overall the results obtained indicate that users are acceptable and get a range of the good one.
Classification of Secondary School Destination for Inclusive Students using Decision Tree Algorithm Rizal Prabaswara; Julianto Lemantara; Jusak Jusak
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.5081

Abstract

Inclusive student education has become one of the most important agendas of UNESCO and the Indonesian government. Developing an inclusive education for children is critical to adapt to their abilities while attending school. However, most parents and educators who help students select their future secondary school after finishing primary school are often unaware of their real potential. The problem is mainly because the decision is not based on objective assessments such as IQ, average, and mental scores. In this study, our objective is to create a school-type decision support system using data mining as a factor-analytic approach to extract rules for the knowledge model. The system uses some variables as the basic principles for building school-type classification rules using the ID3 decision tree method. This system can also assist educators in making decisions based on existing graduate data. The evaluation showed that the proposed system produced an accuracy of 90% by allocating 75% of the data for training and 25% for testing. The accuracy value from the evaluation phase stated that the ID3 decision tree algorithm performs well. This system can also dynamically create new decision trees based on newly added datasets. More research is expected to result in a more variable and dynamic system that can have a more accurate result for the inclusive student classification of secondary school.
Perbandingan Algoritma Naïve Bayes dan K-Nearest Neighbor (KNN) untuk Mengetahui Keakuratan Diagnosa Penyakit Diabetes Qonitah Alia Puteri; Tri Sagirani; Julianto Lemantara
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9, No 3 (2023): Desember 2023
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i3.2023.247-254

Abstract

Diabetes adalah gangguan metabolisme kronis di mana pankreas tidak bisa menciptakan insulin yang cukup ataupun tubuh tidak berhasil menggunakan insulin yang telah dihasilkan. Penyebab yang dapat menimbulkan terjadinya penyakit diabetes berawal dari  banyak antara lain penyebab genetik dan lingkungan. Diabetes tidak hanya menyebabkan kerugian ekonomi bagi pasien karena biaya pengobatan tetapi juga memperpendek umur peluang untuk hidup sebesar 5–10 tahun. Akibat lainnya adalah jika  tidak ada upaya untuk mengontrol dan mencegah, diabetes dapat semakin memperburuk penderita karena dapat menimbulkan komplikasi yang berat. Berdasarkan permasalahan tersebut dapat dilakukan prediksi penyakit diabetes untuk  dapat membantu tenaga medis mengetahu lebih dini kondisi pasien. Algoritma Naive Bayes dan K-Nearest neighbor (KNN) bisa digunakan membantu prediksi  penyakit diabetes dengan menggunakan software RapidMiner dan Python. Hasil penelitian ini dievaluasi dengan Confusion Matrix serta Nilai AUC. Hasil metode Naïve Bayes adalah 77% dengan nilai AUC 0.83 sedangkan metode K-nearest neighbor (KNN=3) adalah 71% dengan nilai AUC 0.75, KNN=5 adalah 69% dengan AUC 0.76, dan KNN=7 adalah 68% dengan AUC 0.75 sehingga dapat disimpulkan bahwa algoritma naïve bayes lebih unggul dibandingkan dengan KNN, meski pada penelitian ini untuk algoritma KNN menggunakan K=3, K=5 dan K=7, lalu untuk untuk yang KNN dari ketiga K yang digunakan dari segi confusion matrix KNN=3 lebih unggul sedangkan dari nilai AUC yaitu KNN=5.
Analysis and Implementation of the Apriori Algorithm for Strategies to Increase Sales at Sakinah Mart Karisma Dwi Fernanda; Arifin Puji Widodo; Julianto Lemantara
JUITA: Jurnal Informatika JUITA Vol. 11 No. 2, November 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i2.17341

Abstract

Sakinah Mart is a retail business that focuses on determining the layout of goods based on perceptions and implementing a discount system for specific items, but without offering bundling packages. This research aims to provide recommendations using the apriori algorithm as a decision-making tool for analyzing the layout of goods and bundling packages. The apriori algorithm is a data mining technique used to discover association rules and analyze customer purchases, specifically identifying the likelihood of customers buying item X along with item Y. The algorithm consists of two main components: support and confidence. The research applies the Cross-Industry Standard Process for Data Mining (CRISP-DM) method, utilizing the apriori algorithm to analyze sales transaction data. The dataset includes 2000 sales transactions with two attributes, resulting in the identification of 2 and 3 itemsets. The findings include 16 rules with a minimum support value of 42% and a minimum confidence of 85% for the layout of goods. For bundling packages, 5 rules with a minimum support value of 40% and a minimum confidence of 90% were generated. These results offer valuable recommendations to the company, using the apriori algorithm for analyzing the layout of goods and bundling packages. 
Pelatihan Online Model Blended Learning dan Learning Management System untuk Pembelajaran di SMA Bambang Hariadi; M.J. Dewiyani Sunarto; Tan Amelia; Tri Sagirani; Julianto Lemantara
Jurnal Abdi Masyarakat Indonesia Vol 3 No 5 (2023): JAMSI - September 2023
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.847

Abstract

Teknologi informasi dalam dunia Pendidikan dapat dimanfaatkan untuk percepatan distribusi materi ajar dan kenyamanan dalam belajar. Untuk itu perlu dibagun Learning Manajemen System (LMS) yang dapat mewadahi kebutuhan mengajar guru dan kebutuhan belajar siswa. Agar pembelajaran dapat berjalan dengan baik dan dapat mencapai tujuan, maka para guru perlu mengenal model Blended Learning dan LMS. Webinar ini bertujuan untuk mengenalkan model Blended Learning dan LMS dalam pembelajaran di SMA. Kegiatan ini dikemas dalam pekan Webinar bagi guru-guru SMA di Indonesia. Webinar dihadiri 111 peserta dari seluruh Indonesia. Webinar diikuti oleh 111 peserta dengan 1 peserta dari luar negeri (Den Haag) dan 110 peserta dari 33 kota di Indonesia. Di akhir acara webinar disebarkan angket terdiri atas 7 item pertanyaan dengan rating scale 1 – 4 untuk mengetahui kepuasan dan efektifitas pelaksanan webinar. Hasil angket menunjukkan bahwa nilai tertinggi didapat pada item pertanyaan (1) kategori materi yang disampaikan narasumber webinar dapat menambah peningkatan wawasan, dan (2) kategori kualitas narasumber dalam menyampaikan materi dengan rata-rata nilai 3.8. Kemudian untuk nilai terendah didapat pada item pertanyaan kategori efisiensi waktu penyelenggaraan event sesuai harapan (hari, tanggal, dan waktu event) dengan rata-rata nilai 3.5.
The Learning of Mathematics Based on Individual Differences : A Topic Trend Bibliometric Analysis Using VOSviewer M.J. Dewiyani Sunarto; Julianto Lemantara
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 1 (2024): March
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i1.10238

Abstract

This study aims to establish a foundation for the development of differentiated learning through an analysis of trends in articles related to personality type differences in the field of mathematics education. The research method used was descriptive, using Bibliometric Analysis. These 422 data from Scopus have been from Scopus-indexed journals and were obtained by defining search keywords, namely "individual differences." These articles were then filtered based on the highest citation, resulting in 100 articles that were analyzed using Vos Viewer and Microsoft Excel to display the necessary data for analysis. The results of this study indicated that from many articles that had been analyzed, individual differences have a wide meaning, it could be gender, characteristics, thinking process, fear, attitude, and others. Those differences should be taken into consideration by the teacher and cannot be neglected because they can influence the learners. From the data that has been analyzed, the topic above has been increasing after 2017 with the United States and the United Kingdom as the most recent country that published this topic. Cognition is the journal that has the most publications on this topic, with Engle, R. W. as the most productive writer. The most trending article was about Mathematics in general, mathematics concepts, and the phenomena in teaching and learning math. The next piece of advice is about the development of the individual learning model, its evaluation, and its utilization in creating a differentiated learning model.
Aplikasi Analisis Segmentasi Pelanggan untuk Menentukan Strategi Pemasaran Menggunakan Kombinasi Metode K-Means dan Model RFM Ahmad Febri; Norma Ningsih; Julianto Lemantara
Sistemasi: Jurnal Sistem Informasi Vol 10, No 1 (2021): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (706.307 KB) | DOI: 10.32520/stmsi.v10i1.1123

Abstract

AbstrakSelain harus bersaing dengan dealer lain, kenjeran Auto2000 juga harus bersaing dengan cabang Auto2000 lainnya. Salah satu strategi yang digunakan untuk memenangkan persaingan adalah melalui penerapan segmentasi pelanggan. Saat ini kenjeran Auto2000 belum memiliki mekanisme segmentasi pelanggan, permasalahan yang dihadapi adalah tidak dapat mengklasifikasikan pelanggan karena jumlah datanya yang besar dan belum ada alat yang mendukung segmentasi. Berdasarkan permasalahan tersebut, maka diusulkan solusi aplikasi segmentasi pelanggan yang dapat membantu kenjeran Auto2000 melakukan segmentasi. Untuk mengetahui karakteristik pelanggan digunakan model RFM. Sedangkan metode K-Means digunakan untuk melakukan segmentasi, namun metode ini memiliki kelemahan yaitu sulit untuk menentukan jumlah cluster yang terbaik. Untuk mengatasi masalah ini, metode Koefisien Silhouette digunakan. Metode ini digunakan untuk membantu metode K-Means dalam menentukan jumlah cluster terbaik yang akan digunakan. Berdasarkan hasil pengujian, aplikasi telah berjalan sesuai fungsinya yaitu mampu mengelompokkan pelanggan menjadi beberapa kelompok dan menemukan kelompok pelanggan potensial.Kata Kunci: segmentasi pelanggan, k-means clustering, RFM, silhouette coefficient AbstractBesides having to compete with other dealers, Auto2000 kenjeran also had to compete with other Auto2000 branches. One of the strategies used to win the competition is through the implementation customer segmentation. Currently Auto2000 kenjeran does not have a customer segmentation mechanism, the problem faced is that it cannot classify customers because of the large amount of data and there are no tools that support segmentation. Based on these problems, a customer segmentation application solution is proposed that can help Auto2000 kenjeran perform segmentation. To determine the characteristics of the customer, the RFM model is used. While the K-Means method is used to perform segmentation, but this method has a weakness, that’s difficult to determine the best number of cluster. To resolve this problem, the Silhouette Coefficient method is used. This method is used to assist the K-Means method in determining the best number of cluster that will be used. Based on the test results, the application has been running according to its function, which is able to group customers into several groups and to find groups of potential customers.  Keywords: customer segmentation, k-means clustering, RFM, silhouette coefficient
Co-Authors A. B. Tjandrarini A.B. Tjandrarini Adelina Martfriena Adhim Jati Kusuma Adiarnita, Dini Aditya Darmawan Adjie Pramana Putra Afwan, Moh Agatra, Chandra Agatra, Chandra Agus Dwi Churniawan Ahmad Febri Aji, Marcus Nurtiantara Al Arif Rahmadika Putra Wicaksono Aldi Prasetio Alfian Angga Pradika Alhidayah Jamalludin Alim Rahmat Rido Alrafif Naufal Ghani Arifin Alyanto, Reissa Elvira Amalia, Rosi Nanda Amalia, Rosi Nanda Amelia Tan Amirulloh, Nur Amirulloh, Nur Anak Agung Gede Sugianthara Andari, Yuli Setiyo Suryo Andari, Yuli Setiyo Suryo Andi Rahmatullah Tohir Andi Rahmatulloh Tohir Andrean Ricky Setyaji Andri Pratama Putra Angen Yudho Kisoworo Angga Yudha Pradhana Anggara, Yusuf Bagus Anjik Sukmaaji Annisa, Cyntia Al Archam Ali Bachtiar ARIF KUSDIANTORO Arif Rahman Arifin Puji Widodo Arifin Puji Widodo Arifin, Ahmad Soleh Arifin, Alrafif Naufal Ghani Arifin, Bachtiar Ariyanti, Fitri Dwi Ariyanti, Fitri Dwi Arsyanti, Lidya Ananda Ayouvi Poerna Wardhanie Ayuningtyas Ayuningtyas Bachtiar, Archam Ali Bachtiar, Archam Ali Bagus, Andrew Bambang Hariadi Bambang Hariadi Bambang Trimaryanto Barbara, Ganimeda Agatha Barbara, Ganimeda Agatha Binar Kurnia Prahani Binawati, Lilis Budi Jatmiko Budi Jatmiko Budistria, Pungki Yoga Cahyadi, Jeffry Cahyo, Fachreza Ilham Dwi Caraka prasetya utama Casmina, Casmina Chandra Agatra Christavian, Yosua Christavian, Yosua Chusnina, Ulinnuha Jaza Cyntia Al Annisa Darmanto, I Made Budi Darmanto, I Made Budi Darmawan, Aditya Deo Marvin Yahya Deviera, Mawarizka Diaz, Dody Cipta Pratama Diaz, Dody Cipta Pratama Dody Cipta Pratama Diaz DWI CAHYONO Dwi Prasetyo Pambudi Edo Yonatan Koentjoro Effendi, Pradita Maulidya Eka Yuliana Eric Wijaya Erista Pramana Erkrista, Vadil Safrilian Erwin Saputra Erwin Soetomo Erwin Sutomo Fahmi, Ikmal Fahmi, Ikmal Faudi, Bayu Rachmanda Febrian Nanda Pratama Fitriyah, Luluk Fitriyah, Luluk Frastyawan, Nyoman Frastyawan, Nyoman Gadi, Muhammad Axelle Mahrus Ganimeda Agatha Barbara Guntoro, Radix Ardi Guntoro, Radix Ardi Hadi, Arysatya Handoko Handoko Handoko Handoko Hantoro, Yomanda Maulana Hantoro, Yomanda Maulana Hardman Budiardjo, Hardman Harliansyah, Novand Dwiki Harliansyah, Novand Dwiki Haryanto Tanuwijaya Henry Bambang Henry Bambang Henry Bambang Setyawan Henry Bambang Setyawan Hermawan, Thony Hermawati Tika Ayu Herwanda Ayu Destania Herwanda Ayu Destania Hikam, Dicky Sirojul I Gusti Ngurah Gandhi Prabawa I Made Budi Darmanto Ignatius Rahardhi Ikmal Fahmi Indrawati, Yuni Indrawati, Yuni Irawan, Andrian Chandra Irawan, Andrian Chandra Ismail Ismail Isnainul Amanda Perwirasari Jamalludin, Alhidayah Januar Wibowo Juli Tridantono Juniarti, Ni Nyoman Swastika Juniarti, Ni Nyoman Swastika Jusak Jusak Jusak Jusak Jusak Jusak Karisma Dwi Fernanda Ketut Tirtayasa Khurrosidin, Mifta Khusaini, Muhammad Fadhil Kiding, Patrick Kurniawan, Ramdhani KUSDIANTORO, ARIF Kusuma, Novianto Indra Lago, Oktavia Deyo Laras Tilottama Widya Lauw Wulandari Lay Naniek Lay, Filmon Andrean Lianata, Dave Lidya Ike Patricia Luky Rahman Luluk Fitriyah M. J. Dewiyani Sunarto M.J. Dewiyani Sunarto M.J. Dewiyani Sunarto Marco Teguh Permana Marcus Nurtiantara Aji Marselia, Selly Martfriena, Adelina Martfriena, Adelina Mawarizka Deviera Megawati Andi Safitri Merry C. S. Adistya Mindrawan, Tantri Mindrawan, Tantri Mirajtannia Perwita Sari Mochammad Aprilandi Nanu Dwi Firmansyah Moh Afwan Muchamad Alip Romdhoni Mudianto, Nurmalis Mudianto, Nurmalis Muhammad Denovasto Mochtar Muhammad Ilyas Zainul Ar Rafii Muhammad Wahyudi Muhammad, Irfan Zuhdi Nanda Surya Setiawan Naniek, Lay Ni Nyoman Swastika Juniarti Ningsih, Norma Noor Akhmad Setiawan Novand Dwiki Harliansyah Novianto Indra Kusuma Novrianto, Yason Nugraha, Driantama Edya Nugraha, Driantama Edya Nur Amirulloh Nurmalis Mudianto Nursusanto, Edy Nyoman Frastyawan Pambudi, Dwi Prasetyo Pambudi, Dwi Prasetyo panji pratama Parastowo, Irvan Alfaridzi Dwi Patricia, Lidya Ike Patricia, Lidya Ike Perdana, Amryzal Perdana, Amryzal Permana, Marco Teguh Permana, Marco Teguh Perwirasari, Isnainul Amanda Perwirasari, Isnainul Amanda Prabawa, I Gusti Ngurah Gandhi Prabowo, Yoedo Prabowo, Yoedo Pradhana, Angga Yudha Pradhana, Angga Yudha Pradhana, Renas Madya Pradita Maulidya Effendi Prasetio, Aldi Primadiyanto, Ardityo Hari Pungki Yoga Budistria Purnama, Yessa Satria Puspasari, Lilia Puteri, Qonitah Alia Putra, Andri Pratama Putra, Andri Pratama putra, dicky eka Putra, I Gusti Ngurah Alit Widana Putra, Sabdo Wicaksono Putra, Wahyu Dwi Putra, Wahyu Dwi putra, Yolandra Bagus Andalan putra, Yolandra Bagus Andalan Qonitah Alia Puteri Qoumuddin, Agil Rijal Qoumuddin, Agil Rijal Radix Ardi Guntoro Rafsanjani, M. Ghozali Rahardhi, Ignatius Raharjo, Anggi Prasetyo Wahyu Raharjo, Anggi Prasetyo Wahyu Rahmadi, Dimas Agung Rahmadi, Dimas Agung Rahman Fadillah Sugandhi Rahman, Luky Rahman, Luky Rahmawati, Endra Ramadhan, Aditya Refi Zulkarami Reva Eka Prasetyo Rido, Alim Rahmat Rido, Alim Rahmat Rizal Prabaswara Rizkiyanto, Ainur Kholis Rizkiyanto, Ainur Kholis Rochmat Rizky Alfandy rohim, mohammad syahadatul Romdhoni, Muchamad Alip Romdhoni, Muchamad Alip Rosi Nanda Amalia Ryan Ivanaldo Wirasandi Safitri, Rahma Nimas Salay, Yudiyanto Salay, Yudiyanto Sanjaya, Shigit Hussein Sanjaya, Shigit Hussein Santoso, R.P Mohammad Bagus Saputra, Rizki Aditya Saputra, Taufan Oki Saputra, Taufan Oki Sari, Nita Maya Sari, Nita Maya Sasmita, Whika Yudha Sasmita, Whika Yudha Sayang, Ega Syahputra Setiawan, Permadi Setiawan, Permadi Setyahadi, Muhammad Fakhrizal Setyaji, Andrean Ricky Setyowati, Della Witdiya Shigit Hussein Sanjaya Siswo Martono, Siswo Solly Aryza Subagyo, Renaldy Rizky Sugiarto, Indra Sugiarto, Indra Suharto, Octavianus Sulis Janu Hartati Sulis Janu Hartati Sulis tiowati Sulistio wati SULISTIOWATI Sulistiowati . Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati, Dosen Pembimbing 1 Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistiowati, Sulistiowati Sulistyowati Sulistyowati Sulitiowati Sulitiowati Sulitiowati, Sulitiowati Suprianta, I Ketut Adi Susanto, Tri Rudy Syahputra, Noval Azmi Tan Amelia Tan Amelia Tan Amelia Tantri Mindrawan Tantri Windarti taufiqurrahman, naufal as'ad taufiqurrahman, naufal as'ad Teguh Sutanto teja, arya teja, arya Thony Hermawan Tiowati, Sulis tiowati, Sulis Titik Lusiani Tommy Sanada Tony Soebijono Tony Soebijono Tri Puspa Rinjeni Tri Sagirani Triamukti, M. Adam Triamukti, M. Adam Tridantono, Juli Tridantono, Juli Trimaryanto, Bambang Trimaryanto, Bambang Tutut Wurijanto utama, Caraka prasetya utama, Caraka prasetya Utama, Widya Satria Valentinus Roby Hananto Vivine Nurcahyawati Wahyu Dwi Putra Wahyutri, yuyun Eka Wahyutri, yuyun Eka Wati, Sulistio wati, Sulistio Wicaksono, Al Arif Rahmadika Putra Wicaksono, Al Arif Rahmadika Putra Wicaksono, Andhika Maheva Widya Satria Utama Widya, Laras Tilottama Widya, Laras Tilottama Wildan Wildan Wulandari, Sri Hariani Eko Wulandari, Sri Hariyani Eko Yason Novrianto Yoedo Prabowo Yohan Kurnia Putra Tjumoko Yohanes Krisantoro Adjie Yudiyanto Salay Yundari, Yundari Yuni Indrawati Yurike Magdhalena Yusuf Bagus Anggara yuyun Eka Wahyutri Zulkarami, Refi