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All Journal Jurnal Buana Informatika Creative Information Technology Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Sebatik Informasi Interaktif Jurnal Bumigora Information Technology (BITe) TEPIAN Management and Sustainable Development Journal REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Information Technology (JIfoTech) Abditeknika - Jurnal Pengabdian Kepada Masyarakat MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Journal of Computers and Digital Business Jurnal Ilmiah Edutic : Pendidikan dan Informatika Epmas: Edukasi dan Pengabdian Masyarakat Infact: Jurnal Sains dan Komputer
Nurcahyo, Azriel Christian
Institut Shanti Bhuana
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Public Health Social Sciences Other

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IMPLEMENTASI DETEKSI TEPI MENGGUNAKAN METODE QUADRANT TREE CLASSIFIER PADA PEMISAHAN OBJEK BERBASIS DIGITAL IMAGE PROCESSING (STUDI KASUS : OBJEK BENDERA NEGARA) Nurcahyo1, Azriel Christian; Wati, Vera; Profesi, Dwinda Etika; Kusrini, Kusrini
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (25.267 KB)

Abstract

ABSTRACTEdge detection is segmentation of image input that aims to determine the edge by marking the detail part of an image. From some previous studies it has not been shown the results of detection to be able to separate objects from the center of the image input image itself. The purpose of this study is to perform an edge detection function by dividing into nodes using the concept of the Quadran Tree Classifier method to be applied to the case study of the object colored image of the using national flag. Some input images have different levels of complexity and pixels, including the Korean flag, Wales flag, and the flying Indonesian flag. The method is the adoption of tree data structure, where each has 4 nodes the same number of child nodes. If the node has children, number of nodes must be 4, recursively doing the loop. The working concept of this method split and merge segmentation. The results of object segmentation combined in accordance with the homogeneity of colors, especially those with confusion. This research show which is able to observe the scanning pixel on image Korean flag and the flying Indonesian flag, however level pixel 520 x 347 such as Wales flag, this method is unable to separate between line object that is not nudge. The pixel resolution has an effect with total time execution segmentation (minute/sec), total segmentation identified and the total colour.Keywords : edge detection, quadrant tree, digital image processing, image, segmentation
IMPLEMENTASI DETEKSI TEPI MENGGUNAKAN METODE QUADRANT TREE CLASSIFIER PADA PEMISAHAN OBJEK BERBASIS DIGITAL IMAGE PROCESSING (STUDI KASUS : OBJEK BENDERA NEGARA) Nurcahyo, Azriel Christian; Wati, Vera; Profesi, Dwinda Etika; Kusrini, Kusrini
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (643.987 KB)

Abstract

Edge detection is segmentation of image input that aims to determine the edge by marking the detail part of an image. From some previous studies it has not been shown the results of detection to be able to separate objects from the center of the image input image itself.The purpose of this study is to perform an edge detection function by dividing into nodes using the concept of the Quadran Tree Classifier method to be applied to the case study of the object colored image of the using national flag. Some input images have different levels of complexity and pixels, including the Korean flag, Wales flag, and the flying Indonesian flag.The method is the adoption of  tree data structure, where each has 4 nodes the same number of child nodes. If the node has children, number of nodes must be 4, recursively doing the loop. The working concept of this method split and merge segmentation. The results of object segmentation combined in accordance with the homogeneity of colors, especially those with confusion.This research show which is able to observe the scanning pixel on image Korean flag and the flying Indonesian flag, however level pixel 520 x 347 such as Wales flag, this method is unable to separate between line object that is not nudge. The pixel resolution has an effect with total time execution segmentation (minute/sec), total segmentation identified and the total colour. Keywords : edge detection, quadrant tree, digital image processing, image, segmentation
Penentuan Jenis Tanaman Berdasarkan Kemiringan Lahan Pertanian Menggunakan Adopsi Linier Programming Berbasis Pengolahan Citra Dengen, Christin Nandari; Nurcahyo, Azriel Christian; Kusrini, Kusrini
Jurnal Buana Informatika Vol 10, No 2 (2019): Jurnal Buana Informatika Volume 10 Nomor 2 Oktober 2019
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1424.682 KB) | DOI: 10.24002/jbi.v10i2.2253

Abstract

Abstract. The slope is a measure of the slope of the land relative to the flat plane which is generally expressed in percent or degree. Agricultural land that has a slope of more than 15 ° can be more easily damaged. In this study, a value of 2.5 ° was used in determining the normal slope. The process of implementing a decision support system used linear programming adoption in determining the slope and rotation of the slope of the land and determining whether the normalization of the image input was necessary or not. The purpose of this research is to determine the time needed to determine the plant types based on angle rotation setting determined by the user. The results of the study shows that the greater height and width of an object, the longer time needed to determine the plant types, land price and the land slope. The results of the study were obtained in conducting five tests. Tests 1 and 2 images with height and image width ranged from 150-480 obtained time for normalization of 15-30, testing 3.4.5 images with height and image widths ranging from 322 and 788 requiring 54- 108.Keywords: Slope, Adopting Linear Programming, Decision Support SystemsAbstrak. Kemiringan lereng merupakan ukuran kemiringan lahan relatif terhadap bidang datar yang secara umum dinyatakan dalam persen atau derajat. Lahan pertanian yang mempunyai kemiringan lebih dari 15° dapat lebih mudah rusak. Pada penelitian ini digunakan nilai 2,5 ° pada penentuan kemiringan normalisasi.Proses implementasi system pendukung keputusan menggunakan adopsi linier programing dalam menentukan sudut kemiringan lahan, rotasi kemiringan lahan dan menentukan perlu atau tidaknya normalisasi pada input citra tersebut. Tujuan dari penelitian ini menentukan waktu yang dibutuhkan dalam menentukan jenis tanaman berdasarkan rotasi atau sudut pengedukan yang ditentukan oleh user. Hasil penelitian menunjukkan semakin besar tinggi dan lebar suatu objek semakin lama waktu yang dibutuhkan untuk menentukan jenis tanaman, harga lahan atau kemiringan lahan. Lima pengujian dilakukan dalam penelitian ini. Pada pengujian 1 dan 2, citra dengan tinggi dan lebar berkisar 150-480 didapatkan waktu untuk normalisasi 15-30. Pada pengujian 3,4,5 citra dengan tinggi dan lebar citra berkisar 322 dan 788 dibutuhkan waktu 54-108.Kata Kunci: Kemiringan lereng, Adopsi Linear Programming, Sistem Pendukung Keputusan
ANALISIS TINGKAT KEMATANGAN LAYANAN JARINGAN BERDASARKAN PERSPEKTIF INTERNAL MENGGUNAKAN COBIT 4.1 PADA UNIVERSITAS KRISTEN IMMANUEL YOGYAKARTA Azriel Christian Nurcahyo; Musthofa Galih Pradana; Rifqi Hammad
Management and Sustainable Development Journal Vol 2 No 1 (2020): Management and Sustainable Development Journal
Publisher : Department of Management - Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/msdj.v2i1.156

Abstract

Predikat akreditasi “B” pada Universitas yang diperoleh kampus UKRIM pada tahun 2018 membuat pihak manajerial PUSKOM melakukan evaluasi dengan mentitikberatkan sektor peningkatan pengelolaan dan penggunaan teknologi informasi dari tahun ke tahun terutama di bidang infrastruktur layanan bandwidth jaringan internet serta layanan sistem informasi akademik. Kampus UKRIM telah menerapkan teknlogi informasi dalam mendukung proses bisnis dengan tujuan agar pihak manajerial mampu memahami sejauh mana teknologi informasi mampu berperan untuk mendukung proses bisnis guna mencapai tujuan organisasi, maka perlu dilakukan evaluasi. Evaluasi teknologi informasi merupakan rangkaian proses pengumpulan data dari semua kegiatan informasi yang hendak dievaluasi dan diawasi terhadap teknologi informasi perusahaan tersebut untuk mencapai tujuannya. COBIT (Control Objectives for Information and Related Technology) merupakan standar kerangka kerja baku internasional yang digunakan untuk melakukan audit tingkat kematangan tata kelola proses penyelenggaraan dalam pengelolaan suatu organisasi. Tingkat kematangan atau maturity level pada Cobit terdiri dari 6 tingkat kematangan yaitu tingkat 0 (non-existent), tingkat 1(initial), 2(repeateable), 3(defined) ,4(managed) dan terakhir tingkat 5 (optimised). Setelah dilakukan analisis maka diperoleh hasil temuan yang menunjukkan tingkat kematangan penerpan teknologi informasi. Berdasarkan hasil yang telah didapatkan maka diketahui bahwa nilai tingkat kematangan paling rendah pada AI3 yaitu 2,34 dan nilai tertinggi pada DS 7 yaitu 3,80. Kata kunci: bandwidth, COBIT (Control Objectives for Information and Related Technology)
APLIKASI MOBILE ARSIP PRODI MENGGUNAKAN FRAMEWORK CORDOVA (STUDI KASUS : PRODI TEKNIK INFORMATIKA INSTITUT SHANTI BHUANA) Nurcahyo, Azriel Christian; Firgia, Listra; Hammad, Rifqi
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

The use of mobile-based applications has become a necessity for routine administration, especially for lecturers at the Shanti Bhuana Institute, Bengkayang, West Kalimantan. Twice weekly study program meetings, namely tuesday and friday, are an obligation so that lecturers can evaluate the performance with the head of the study program and the vice chancellor regarding the progress of each study program line such as research, community service, teaching and learning activities, even workshops. However, the briefing was limited to communication via whats app during the pandemic season making it difficult to recap the minutes during the briefing, especially as a report to the stakeholders.The NopTI application (Notulen Arsip Prodi TI) is presented to make it easier for lecturers to archive routine briefings based on mobile android. By using the cordova framework which is still rare in developing mobile applications and utilizing google drive as a storage medium, it will certainly reduce costs in terms of database storage. Applications are used more than 80% by IT lecturers, 60% use online briefings, 40% offline briefings and black box tested by several IT experts valid 100% fulfilled from the functions tested, and can be used on android 8.0 to 10.0 and a delay of 186.414 ms nice category to open apps.Keywords: administration, mobile, briefings, cordova..
ANALISIS DAN IMPLEMENTASI METODE RAD PADA SISTEM SURAT MASUK DAN SURAT KELUAR BERBASIS WEBSITE STUDI KASUS: INSTITUT SHANTI BHUANA Firgia, Listra; Nurcahyo, Azriel Christian
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

 The number of incoming and outgoing letters that have been received and made in the PROA section of Shanti Bhuana Institute, so that the search for data becomes inaccurate in terms of time and energy with manual systems. This research was conducted with the aim of assisting shanti bhuana institute employees in managing incoming and outgoing letters effectively. This entry and outgoing mail system has the ability to run on computers and mobile phones so that shanti bhuana institute employees can use this system wherever they are. Employees can add, edit, cancel, delete and save incoming and outgoing mail and can print report results based on incoming and outgoing mail. The method used in this study is Rapid Application Development (RAD) whereas for the creation of incoming and outgoing mail systems using php, html and css programming languages. App testing using blackbox testing with results that match expectations from users and researchers.Keywords: incoming mail, outgoing mail, Rapid Application Development.
Analisis Variable yang Memengaruhi Minat Pemilihan Perguruan Tinggi Musthofa Galih Pradana; Azriel Christian Nurcahyo; Fandli Supandi
Creative Information Technology Journal Vol 7, No 1 (2020): Januari - Juni
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/citec.2020v7i1.202

Abstract

Kebijakan Promosi dari Universitas untuk mendapatkan mahasiswa baru merupakan hal yang vital bagi kelancaran proses penerimaan Mahasiswa Baru. Pihak lembaga perlu mengkaji dan melakukan analisis yang baik sebelum melakukan promosi. Di era sekarang, banyak media yang dapat dijadikan sebagai media promosi. Dengan berkembangnya cara penyebaran informasi serta banyaknya media pihak yang berkepentingan sudah seharusnya jeli mana yang mendapat prioritas lebih dari semua banyak lini media tempat promosi. Ketika tingkat prioritas sudah ditentukan maka upaya promosi akan menjadi lebih mudah dan lebih tepat sasaran. Akan tetapi penentuan tingkat prioritas tidak dapat dilakukan secara asal dan sembarangan. Perlu dilakukan pengkajian yang lebih dalam bukan hanya sekedar intuisi belaka. Penelitian ini membahas tentang pengaruh promosi dengan minat calon mahasiswa memilih AMIKOM sebagai universitas pilihan dengan acuan tiga variable yaitu sosial media, website, dan referensi alumni. Pengolahan data menggunakan software SPSS dan SPSS AMOS untuk mencari validitas, reliabilitas dan uji hipotesis. Hasil yang didapatkan adalah semua variable signifikan, dengan urutan dari nilai tertinggi ke terendah adalah Sosial Media, Referensi Alumni, dan Website. Kata Kunci—Promosi, Validitas, Reliabilitas, HipotesisPromotion policy from the University to get new students is vital for the smooth process of admission of New Students. The institution needs to review and conduct a good analysis before conducting a promotion. In this era, many media can be used as promotional media. With the development of ways of disseminating information and the many media interested parties it should be observant which gets priority over all the many lines of media wherepromotion. When the priority level has been determined, the promotion effort will be easier and more targeted. However, the determination of priority levels cannot be done arbitrarily and carelessly. Deeper studies need to be done not just mere intuition. This study discusses the effect of promotion with the interest of prospective students choosing AMIKOM as the university of choice with three variables reference, namely social media, website, and alumni reference. Data processing using SPSS and SPSS AMOS software to find validity, reliability, and hypothesis testing. The results obtained are all significant variables, with the order from highest to lowest values are Social Media, Alumni Reference, and Website.Keywords— Promotion, Validity, Reliability, Hypothesis
Pengembangan Sistem DAPODIKDAS pada Optimalisasi Pencarian Data Siswa Berprestasi Dema Mathias Lumban Tobing; Yulianto Mustaqim; Musthofa Galih Pradana; Azriel Christian Nurcahyo; Yusuf Hendra Pratama
Creative Information Technology Journal Vol 5, No 4 (2018): Agustus - Oktober
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.597 KB) | DOI: 10.24076/citec.2018v5i4.131

Abstract

Dapodikdas serentak diterapkan pada seluruh Sekolah Dasar sejak tahun 2015, dimana banyak kemudahan yang didapatkan apabila sekolah menggunakan aplikasi tersebut seperti pemberian NISN, BOS, BSM, KIP, tunjangan dan sertifikasi guru, pendataan peserta Ujian Nasional, dan pendataan orang tua siswa. Hingga saat ini Dapodikdas belum mengakomodir kebutuhan Kemendikbud dan Sekolah dalam pencarian data siswa berprestasi. Hal ini disebabkan karena belum tersedianya fitur pencarian data siswa berprestasi sebagai bagian optimalisasi penggunaan data. Mengingat siswa berprestasi layak mendapatkan penghargaan oleh negara sesuai UU No 20 Tahun 2003 tentang Sistem Pendidikan Nasional.Pada penelitian ini dilakukan optimalisasi sistem Dapodikdas melalui penambahan fitur pencarian kepakaran data siswa berprestasi. Hasil dari penelitian ini mampu mengoptimalisasikan berupa simulasi Dapodikdas dalam pencarian siswa berprestasi. Perbandingan kecepatan akses query sedikit lebih lambat dibandingkan sistem dapodikdas saat ini namun adanya penambahan fitur pencarian kepakaran siswa mampu memenuhi kebutuhan UU No 20 Tahun 2003. Dari hasil perbandingan dilakukan uji query pencarian biodata siswa lengkap dan orang tua diperoleh Dapodikdas lebih cepat 0.00695 detik dibandingkan Dapodikdas versi optimalisasi 0.007195 detik, akan tetapi terdapat beberapa fitur kelebihan dari versi optimalisasi yaitu pencarian pembinaan siswa, seleksi siswa, dan penghargaan siswa. Penambahan fitur ini diharapkan menjadi sarana Kemendikbud dan Sekolah dalam pencarian bakat siswa berprestasi.Kata Kunci —Dapodikdas, Kemendikbud, Optimalisasi, Kepakaran.Dapodikdas is simultaneously applied to all elementary schools since 2015, where many of the conveniences obtained schools use such applications as NISN, BOS, KIP, teacher’s allowances and certification, National Examination, and parents. Until now, Dapodikdas not accommodate the needs of Kemendikbud and School to search of student data achievement. This is due to unavailability of data search feature of student achievement as part of data usage optimization. In this research, Dapodikdas system optimization is done through the addition of search feature of student data achievement. The result of this research is able to optimize in the form of Dapodikdas simulation in search of achievement students. The comparison of query access speed is slightly slower than the current system but the addition of search features is able to meet the needs of UU No.20 of 2003. The comparison result, it is done by query search of complete student biographical data and parents get faster 0.00695 seconds than Dapodikdas optimization version 0.007195 second, but there are some advantages feature of optimization version that is searching student coaching, selection, and awards. The addition of this feature is expected to be a means of Kemendikbud and School in talent search for outstanding students.Keywords— Dapodikdas, Kemendikbud, Optimalitation, Expertise.
Penerapan Metode K-Means Klustering Untuk Menentukan Kepuasan Pelanggan Musthofa Galih Pradana; Azriel Christian Nurcahyo; Pujo Hari Saputro
Creative Information Technology Journal Vol 7, No 1 (2020): Januari - Juni
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/citec.2020v7i1.185

Abstract

Pengolahan data dapat dilakukan dengan banyak cara dan teknik. Peran data saat ini menjadi sangat penting bagi sebuah perusahaan atau penyedia layanan untuk pelanggan. Pentingnya data saat ini menjadikan proses pengolahan data dilakukan secara mandiri menggunakan metode-metode data mining yang ada. Beberapa metode yang dapat diterapkan diantaranya klasifikasi, prediksi maupun klustering. Masing-masing teknik tersebut memiliki hasil yang dapat dijadikan acuan evaluasi dan perencanaan yang lebih baik lagi. Penelitian ini menerapkan teknik klustering yaitu memisahkan dan mengelompokan data berdasarkan kluster. Dalam klustering ada banyak algortima atau metode yang dapat diterapkan, salah satunya adalah K-Means Klustering. Algoritma K-Means merupakan algoritma yang banyak digunakan untuk mengelompokan data. Hasil dari penelitian ini terbagi menjadi 2 kluster yaitu Kluster 0 yaitu puas dan Kluster 1 yaitu tidak puas ataupun netral. Pengelompokan kluster tersebut berdasarkan dataset yang dimiliki dimana responden mengisi data dan menghasilkan 2 jenis kluster tersebut. Adapun hasil dari proses klustering adalah sebanyak 1303 data masuk kategori kluster 0 atau sebesar 65% dan 697 data masuk kategori kluster 1 atau sebesar 35%. Kata Kunci— Data Mining, Klustering, K-MeansData processing can be done in many ways and techniques. The role of data is now very important for a company or service provider for customers. The importance of data now makes data processing carried out independently using existing data mining methods. Some methods that can be applied include classification, prediction and clustering. Each of these techniques has results that can be used as a reference for evaluation and better planning. This study applies clustering techniques, namely separating and grouping data based on clusters. In clustering there are many algorithms or methods that can be applied, one of which is K-Means Klustering. K-Means algorithm is an algorithm that is widely used to group data. The results of this study are divided into 2 clusters, namely Cluster 0, which is satisfied and Cluster 1, which is not satisfied or neutral. Clustering is based on a dataset that is owned by where the respondent fills in data and produces 2 types of clusters. The results of the clustering process are as many as 1303 data in the category of cluster 0 or 65% and 697 data in the category of cluster 1 or 35%. Keywords— Data Mining, Clustering, K-Means
Penentuan Jenis Tanaman Berdasarkan Kemiringan Lahan Pertanian Menggunakan Adopsi Linier Programming Berbasis Pengolahan Citra Christin Nandari Dengen; Azriel Christian Nurcahyo; Kusrini Kusrini
Jurnal Buana Informatika Vol. 10 No. 2 (2019): Jurnal Buana Informatika Volume 10 Nomor 2 Oktober 2019
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v10i2.2253

Abstract

Abstract. The slope is a measure of the slope of the land relative to the flat plane which is generally expressed in percent or degree. Agricultural land that has a slope of more than 15 ° can be more easily damaged. In this study, a value of 2.5 ° was used in determining the normal slope. The process of implementing a decision support system used linear programming adoption in determining the slope and rotation of the slope of the land and determining whether the normalization of the image input was necessary or not. The purpose of this research is to determine the time needed to determine the plant types based on angle rotation setting determined by the user. The results of the study shows that the greater height and width of an object, the longer time needed to determine the plant types, land price and the land slope. The results of the study were obtained in conducting five tests. Tests 1 and 2 images with height and image width ranged from 150-480 obtained time for normalization of 15-30, testing 3.4.5 images with height and image widths ranging from 322 and 788 requiring 54- 108.Keywords: Slope, Adopting Linear Programming, Decision Support SystemsAbstrak. Kemiringan lereng merupakan ukuran kemiringan lahan relatif terhadap bidang datar yang secara umum dinyatakan dalam persen atau derajat. Lahan pertanian yang mempunyai kemiringan lebih dari 15° dapat lebih mudah rusak. Pada penelitian ini digunakan nilai 2,5 ° pada penentuan kemiringan normalisasi.Proses implementasi system pendukung keputusan menggunakan adopsi linier programing dalam menentukan sudut kemiringan lahan, rotasi kemiringan lahan dan menentukan perlu atau tidaknya normalisasi pada input citra tersebut. Tujuan dari penelitian ini menentukan waktu yang dibutuhkan dalam menentukan jenis tanaman berdasarkan rotasi atau sudut pengedukan yang ditentukan oleh user. Hasil penelitian menunjukkan semakin besar tinggi dan lebar suatu objek semakin lama waktu yang dibutuhkan untuk menentukan jenis tanaman, harga lahan atau kemiringan lahan. Lima pengujian dilakukan dalam penelitian ini. Pada pengujian 1 dan 2, citra dengan tinggi dan lebar berkisar 150-480 didapatkan waktu untuk normalisasi 15-30. Pada pengujian 3,4,5 citra dengan tinggi dan lebar citra berkisar 322 dan 788 dibutuhkan waktu 54-108.Kata Kunci: Kemiringan lereng, Adopsi Linear Programming, Sistem Pendukung Keputusan
Co-Authors Abdulwahab Funsho Atanda Ag. Rudatyo Himamunanto Agustinus Rudatyo Himamunanto Ahmad Zuli Amrullah Ahmad Zuli Amrullah Andri Mikola Atanda, Abdulwahab Funsho Cahyaningtyas, Christian Christin Nandari Dengen Dema Mathias Lumban Tobing Dengen, Christin Nandari Eligia Monixa Salfarini Ema Utami Fandli Supandi Fitria Elvi Gudiato, Candra Huong Yong Ting Kurniadin Abd Latif Kusnanto Kusnanto kusnanto kusnanto Kusrini Kusrini Kusrini Kusrini Kusrini, Kusrini Listra Frigia Missianes Horhoruw Maya Sari Maya Sari Mira Mira Musthofa Galih Pradana P, Noviyanti. Pahrul Irfan Pahrul Irfan Profesi, Dwinda Etika Profesi, Dwinda Etika Pujo Hari Saputro Rifqi Hammad Rifqi Hammad Suwanto Raharjo Wahyudi Wahyudi Wati, Vera wati, Vera Yong , Ting Huong Yong, Alan Ting Huong Yulianto Mustaqim Yulianto Mustaqim Yusuf Hendra Pratama