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All Journal Jurnal Media Infotama Jurnal Teknologi Jurnal Dinamika Pengabdian (JDP) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Ilmiah Sinus Jurnal Informatika Global Jurnal Kridatama Sains dan Teknologi Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika Infotech: Journal of Technology Information Journal of Computer Networks, Architecture and High Performance Computing Jurnal Restikom : Riset Teknik Informatika dan Komputer JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Ilmiah Wahana Pendidikan Jurnal Pengabdian kepada Masyarakat Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Media Informatika Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Ilmu Komunikasi Dan Media Jurnal Informatika Teknologi dan Sains (Jinteks) Formosa Journal of Computer and Information Science Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Pengabdian West Science SABAJAYA Jurnal Pengabdian Kepada Masyarakat Jurnal Lentera Pengabdian Kohesi: Jurnal Sains dan Teknologi Jurnal Pelita Pengabdian SAINTEK JPMAS : Jurnal Pengabdian Masyarakat Dedikasi : Jurnal Pengabdian Lentera Cahaya Pengabdian
Abdul Halim Anshor
Universitas Pelita Bangsa
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ANALISIS SENTIMEN TERHADAP PELUNCURAN MACBOOK MODEL TERBARU PADA TWITTER DENGAN METODE NAIVE BAYES Fiqih Alfiansyah Zahari; Abdul Halim Anshor; Sugeng Budi Rahardjo
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 5 No 2 (2023): Agustus
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v5i2.157

Abstract

Sudah banyak berbagai jenis laptop beredar dipasaran, yang saat ini terbagi menjadi 3 kelas, yaitu low-end, mid-end, dan high-end yang memiliki kelebihanya masing-masing. Twitter merupakan salah satu media sosial yang popular dikalangan pengguna internet, hal ini dikarenakan twitter mudah digunakan, bebas dalam mengeluarkan pendapat atau opini dan membahas berbagai masalah yang ada. Masalah yang banyak dibahas adalah peluncuran Macbook model terbaru salah satunya. Permasalahan ini mendapat perhatian dari masyarakat luas sehingga opini tersebut dapat diolah dengan cara yaitu analisis sentimen dan diperlukan sebuah metode yang dapat secara otomatis melakukan klasifikasi opini ke dalam kategori positif dan negatif melalui proses analisis sentimen. Naive Bayes merupakan teknik machine learning yang popular untuk pengklasifikasian. Klasifikasi dapat memberikan kemudahan bagi pengguna untuk melihat opini positif dan negatif. Berdasarkan pengujian yang telah dilakukan, hasil klasifikasi terbaik diperoleh dengan nilai accuracy 84.53%, precision 99.79%, dan recall 75.70%.Kata Kunci: Macbook, Klasifikasi, Opini, Data Mining, Naive Bayes There are many different types of laptops on the market, which are currently divided into 3 classes, namely low-end, mid-end and high-end, each of which has its advantages. Twitter is one of the most popular social media among internet users, this is because Twitter is easy to use, free to express opinions or opinions and discuss various existing problems. The problem that has been widely discussed is the launch of the latest Macbook model, one of which. This problem has received attention from the wider community so that these opinions can be processed by means of sentiment analysis and we need a method that can automatically classify opinions into positive and negative categories through the sentiment analysis process. Naive Bayes is a popular machine learning technique for classification. Classification can make it easy for users to see positive and negative opinions. Based on the tests that have been done, the best classification results are obtained with accuracy values of 84.53%, precision of 99.79%, and recall of 75.70%.Keywords: Macbook, Classification, Opinion, Data Mining, Naive Bayes
Analisis Pembelian Mobil Listrik Menggunakan Metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Abdul Halim Anshor; Wiyanto Wiyanto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1201

Abstract

Mobil listrik telah menjadi trend kendaraan masa depan yang mengalami perkembangan yang sangat pesat. Sejak abad ke 18 awal dirilis mobil listrik di eropa, sedangkan di Indonesia berkembang sejak tahun 2012 sampai saat ini. Keunggulan yang dijanjikan oleh mobil listrik dapat meumbuhkan minat dari pemakai kendaraan berbahan bakar bbm untuk pindah menggunakan mobil listrik. Banyaknya produsen dan merek mobil listrik membuat masyarakat menjadi kesulitan dalam menentukan merek mobil listrik apa yang akan dibeli. Hal ini dikarenakan minimnya pengetahuan Masyarakat akan produk baru ini. Untuk mengatasi masalah tersebut dapat disolusikan dengan penerapan Sistem Pendukung keputusan. Pada penelitian kali ini menggunakan metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Adapun atribut yang digunakan adalah harga, jarak tempuh, kecapatan maksimum, waktu pengisian baterai, fitur dan teknologi, serta keamanan dan kenyamanan. Penerapan kombinasi ini ditujukan untuk mengurangai penilaian yang subjektif terhadap atribut yang digunakan. Penerapan metode diawali dengan menghitung bobot maksimum dari setiap atribut selanjutnya dilanjutnya dengan perhitungan nilai preferensi dan perankingan. Atribut dengan nilai preferensi maksimum adalah peringkat pertama atau sebagai keputusan pemilihan alternatif terbaik pertama. Dari hasil penelitian ini dapat membantu para calon pembeli dapat menentukan pilihan mobil listrik yang terbaik untuk dibeli. Hasil dari penelitian ini didapat perangkingan dari masing-masing alternatif yang ada sebagai berikut mobil alternatif pertama mobil Tesla Model S dengan nilai preferensi 0,668, alternatif terpilih ke dua beli mobil listrik Nissan Leaf dengan nilai preferensi 0.629, alternatif ketiga beli mobil listrik merek Hyundai Ioniq Electric dengan nilai preferensi 0.622 dan alternatif terakhir adalah beli mobil listrik merek selanjutnya alternatif beli mobil listrik Tesla Model S dengan nilai prefernsi 0.504.
Aplikasi Absensi Non ASN Berbasis Web Wilianto Wilianto; Asep Muhidin; Abdul Halim Anshor
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4631

Abstract

Presence is crucial in a government institution. With an effective attendance system, it is hoped that it can assist in controlling the task completion process. The Attendance Recording System used in the Public Section applies fingerprint technology. Fingerprint is one of the information technology innovations that makes it easier to record employee activities every day. At this time employees do not take attendance using a fingerprint machine and return to using a manual system. The system is done manually, namely by signing the attendance book that has been provided by the staffing department. The purpose of developing this application is to facilitate, and speed up, employees in taking attendance and managing attendance outside the office. The method used in developing web-based non-ASN attendance applications is the waterfall model. as a structured software approach, starting from the stages of analysis, design, coding, testing, to the support stage. The PHP programming language, Laravel Framework and Database Management System (DBMS) use MySQL. The result of this research is the development of a web-based non-asn attendance application for non-asn employees in the general section of the regional secretariat of Bekasi district
Analisis Sentimen Masyarakat Pada Twitter Terhadap Kasus HIV/AIDS Di Indonesia Menggunakan Algoritma Naive Bayes Nurcholilah Nurcholilah; Suherman Suherman; Abdul Halim Anshor
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 14 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8185186

Abstract

The high number of cases of HIV/AIDS infection which continues to increase, especially among young people or adolescents, is a serious problem. HIV data on children in Indonesia from 2020 to September 2022, there are 12,553 children aged 14 years and under who are infected with HIV with boys predominate. This shows that efforts to prevent HIV transmission from mother to child need to be increased. As social media develops, people often talk about and give their opinions through various media, one of which is social media Twitter. Opinions given by the community regarding HIV/AIDS cases varied, such as HIV screening, mandatory use of condoms so as not to get sexually transmitted diseases, and HIV testing before marriage. This research is expected to be useful in helping to conduct research on public opinion that contains sentiments, positive sentiments and negative sentiments. The method used in this study is Naive Bayes, with the process of crawling data from Twitter using Rapid Miner, preprocessing data that has been obtained from Twitter using cleansing, tokenization and filtering. For the classification process using the Naive Bayes method. The data used are tweets in Indonesian with the keywords HIV and AIDS, with a total dataset of 3.051 tweets. After going through the data selection process, the final data was 1.134 tweets with a positive sentiment of 63.49% and a negative sentiment of 36.51%. The results of testing the accuracy performance of the naïve Bayes method using RapidMiner tools obtained the best average accuracy value in the first test scenario with an average accuracy value of 59.53%, a Precission value of 68.68% and a recall value obtained of 64.89%. While the results of the accuracy performance test on Python tools using the Naïve Bayes method obtained an accuracy value of 66.00%, a precision value of 67.45% and a recall value of 94.07%
Sistem Informasi WIP (Work In Process) Berbasis Web Menggunakan Metode Waterfall Hary Alfarizi; Abdul Halim Anshor; Edora
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1503

Abstract

Inventory is stock, or stored material or goods that are used for a specific purpose. Meanwhile, WIP, also known as work in process, is an inventory of semi-finished goods. So, if it is concluded that inventory work in process is the inventory of goods that have entered the production stage but have not been completed until the end of becoming a finished product, PT Hexpharm Jaya is a pharmaceutical company that produces various types of medicines. PT Hexpharm Jaya has a WIP (Work In Progress) inventory room for storage of Masa Siap Cetak (MSC) and Masa Siap Strip (MSS) products. But currently, the system that runs in the WIP inventory room still uses a paper format (logbook), so it often faces problems in the process of work activities. So a computerized system is a solution that is relevant to the existing problems. This research was conducted to overcome these problems. This information system development technique uses the waterfall method because of its structured and sequential nature, which suits the need to develop a system with clear and well-defined phases. The stages in the waterfall method include requirements analysis, system design, implementation, testing, and maintenance. This web-based WIP Information System, can produce success in inventory management, improve operational efficiency, increase visibility over production status, speed up workflow, and also increase company productivity. And it is hoped that this research can make a significant contribution to inventory management practices by introducing the web-based WIP Information System that has been developed.
Strategi Pengembangan E-Commerce Dalam Rangka Memajukan UMKM Untuk Pembangunan Berkelanjutan Abdul Halim Anshor
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

Currently, the development of information technology is very fast, this is able to create various kinds of changes in life into the digital world, one of which is the digital economy. This condition has created digital technology in the economic field, namely E-commerce which is an activity of distributing, selling, purchasing, marketing products (goods and services), by utilizing the internet network. With the globalization of information technology has brought the economy to sharp competition among business actors, both local and international. Economic development in Indonesia cannot be separated from the role of micro, small and medium enterprises (MSMEs). The number of MSMEs in Indonesia is always increasing from year to year. The pandemic condition has made the Indonesian and world economies experience a very significant decline, this demands the need for innovation in existing economic problems. one of them is by developing an E-commerce strategy in the field of micro, small and medium enterprises (MSMEs), where it is hoped that this step can help in economic recovery, especially in Indonesia so that sustainable development can be realized in this country. The research carried out aims to determine the E-commerce development strategy to promote MSMEs with qualitative and quantitative SWOT (Strength Weakness Opportunity Threat) analysis methods. From this research, it is known the current condition of E-Commerce development and how the strategy is to advance existing MSMEs, taking into account the strengths and weaknesses as well as existing opportunities and threats, the position of MSMEs by adopting E-Commerce has the opportunity to grow big and advance so that this can be achieved. contribute to the sustainable development of the country. Keywords: Digital, E-commerce, Pandemic, MSME, SWOT
Implementation of a Web-Based Village Information System Using the Waterfall Method in Hegarmukti Village Ferdiansyah, Febby; Anshor, Abdul Halim; Widodo, Edy
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2986

Abstract

The dissemination of information at the village level is crucial for ensuring transparency to the residents. To facilitate the quick and easy communication of such information, a web-based village information system was developed. This system can be accessed by all community members, both within and outside the village, as long as they have an internet connection. Currently, Hegarmukti Village does not have an effective web-based information system, leading to delays in information delivery and a lack of accuracy. Moreover, the potential of the village remains under-promoted. This study aims to design and implement a web-based village information system for Hegarmukti Village using the Waterfall method. The system is developed using HTML for programming and MySQL for the database, with the goal of enhancing transparency and the efficiency of information dissemination. The system provides features such as village profiles, news updates, and population data searches, improving the accessibility and reliability of village information.
Sistem Informasi E-Learning Berbasis Web Pada SMA Negeri 3 Cikarang Utara Oktavianti, Risma Nadia; Butsianto, Sufajar; Anshor, Abdul Halim
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 8 No. 1 (2024): Call for Paper: Volume 8 Nomor 1 Januari 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v8i1.13423

Abstract

SMA Negeri 3 Cikarang Utara merupakan Sekolah Menengah Atas Negeri yang berada di Kecamatan Cikarang Utara, Kabupaten Bekasi. Sistem pembelajaran yang terdapat di SMAN 3 Cikarang Utara sebenarnya sudah menerapkan sistem komputerisasi sebagai media pembelajarannya. Namun untuk proses ujian, sekolah ini masih menggunakan aplikasi Microsoft Power Point sebagai alat menampilkan soal ujiannya, dimana siswa masih harus menuliskan jawabannya di kertas yang telah disediakan oleh pihak sekolah. Kemudian untuk mengetahui hasilnya, jawaban para siswa dikumpulkan dan dikoreksi oleh guru bidang studi, siswa tidak bisa langsung dapat mengetahui nilainya. Semua memerlukan waktu yang cukup lama karena jumlah siswa yang cukup banyak dari tiap kelas, maka dari itu peneliti membangun sistem informasi E-Learning untuk membantu sistem belajar mengajar yang bertujuan untuk mempermudah proses belajar mengajar dengan sistem yang terkomputerisasi. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Teknik pengumpulan data yang digunakan ialah penelitian lapangan yang berupa observasi dan wawancara, serta penelitian kepustakaan. Adapun metodologi pengembangan sistem yang digunakan adalah waterfall dengan alat bantu yang digunakan menggunakan Unified Modeling Language (UML). Hasil dari penelitian ini adalah telah berhasil dibuat sebuah sistem informasi E-Learning berbasis web. Kesimpulan dari penelitian ini adalah pengelolааn dаtа mаteri dаn tugаs serta ujian siswа dengаn cаrа online menjadi lebih efektif dаn efesien kаrenа mempercepat proses ujian yang berlangsung dan mempermudah proses koreksi hasil ujian siswa. Selain itu setiap kegiatan dapat di akses dimana saja apabila diperlukan mengingat seluruh aktivitas sekolah dipublish agar dapat di akses informasinya pada pihak yang memiliki kepentingan tanpa dibatasi oleh jarak, tempat, dan waktu.
Analisis Tingkat Ketertarikan Mahasiswa Terhadap Bidang Artifcial Intelligence dalam Penulisan Skripsi dengan Random Forest Anshor, Abdul Halim; Wiyatno, Tri Ngudi
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5332

Abstract

Artificial Intelligence (AI) is an advanced phenomenon of information technology that is currently very fast. With AI human work can be replaced by computers. Universities are superior providers in providing experts in the field of AI. One indicator that can describe how the curriculum in the field of AI is implemented on campus is by assessing how interested students are in taking the field of AI for writing their thesis. In this research, researchers used the Random Forest machine learning method with questionnaire sampling data from 200 students interested and not interested in the field of AI. The results of this research will provide accuracy values for classifying students' interest in the field of AI. Questionnaire data will be classified into two classes, namely interested and not interested classes. Results from classification trials with the WEKA application. It is known that the classification results have an accuracy value of 80.5%, this shows that the random forest algorithm has worked effectively in the process of classifying Pelita Bangsa University student interest data in the field of AI in writing theses
Pendampingan Untuk Menyukseskan Program Pemerintah Sekolah Penggerak dengan Perpustakaan Digital di SDIT ANNIDA Cikarang Selatan. Anshor, Abdul Halim; Rezeki, Fitri; Wangsadanureja, Miftah
Jurnal Pelita Pengabdian Vol. 1 No. 2 (2023): July
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v1i2.2499

Abstract

Setelah menteri pendidikan meluncurkan merdeka belajar episode ke 7 program sekolah pengerak pada 2 februari 2021 silam, banyak sekolah baik itu negeri maupun swasta yang ikut ambil bagian dalam program sekolah penggerak ini. SDIT ANNIDA sebagai salah satu sekolah penggerak yang berlokasi di kecamatan Cikarang Selatan. Sekolah penggerak berfokus pada pengembangan SDM sekolah baik itu murid, guru maupun kepala sekolahnya. Sebagai sekolah penggerak SDIT ANNIDA berupaya merealisasikan program-program yang diberikan oleh pemerintah salah satunya digitalisasi platform pendidikan yang ada. Kegiatan pengabdian masyarakat ini ditujukan untuk membantu menyukseskan program sekolah penggerak SDIT ANNIDA melalui pendampingan dalam penggunaan perpustakaan digital. Adapun metode yang digunakan dalam kegiatan ini bersifat kontekstual yang diawali dengan pengumpulan data, analisis data, perancangan dan pembuatan aplikasi perpustakaan digital, pendampingan implementasi aplikasi perpustakaan digital, monitoring dan evaluasi hasil kegiatan serta pembuatan laporan.Luaran target yang hendak dicapai dalam kegiaan ini antara lain 1)Meningkatkan aksesibilitas dan literasi digital. 2) Meningkatkan ketersediaan sumber daya.3)Mengurangi biaya.4) Meningkatkan interaksi dan keterlibatan SDM yang ada.5) Menyediakan pembelajaran yang lebih menarik dan interaktif.6) Sukses dalam merealisasikan program penggerak.
Co-Authors Abdul Ghofar Abiyyu, Muhammad Dzaki Achmad, Ivan Faturrochman Adi Kurniawan Afriantoro, Irfan Agung Nugroho Aguswin, Ahmad ajizah, imah rotul Akromusyuhada, Akhmad Al Godzali, Galva Albedri, Muhammad Amali Amali Amartha, Alif Nur Fathlii Anas, Muhamad Abdul Anggara, Bastian Anggraeni , Tatia Deswita Ansyah, Ery Argiansah P, Rieval Arie Miftah Budiman Asep Muhidin Assidiki, Hasbi Aswan Supriyadi Sunge Athallah , Rafif Isdarufa Ayubi, Muhammad Din Al Badrul Munir, Badrul Bina, Sabina Oktaviani Hermilia Butsianto, Sufajar Clarita, Anggita Risqi Nur Danuyasa, Abiyanfaras Darmawan, Diki Dendy K. Pramudito Dita , Silvi Fara Dita, Silvi Fara Djawas, Fathia Wardah S. Dodit Ardiatma Edora Edora Edy Widodo Edy Widodo Erdi Erianto, Erick Erikasari, Vivie Zuliani Fadhillah, Faizah Via Fadillah, Muhammad Zidan Farrasanto, Akram Fatchan, Muhammad Fauzi Ahmad Muda Febri Tri Arie Sakti Ferdiansyah, Febby Fermana, Yudi Fernanda, Arif Fiqih Alfiansyah Zahari Fitri Rezeki Ghufron Malik Harits, Dalhats Abiyyu Idzal Hartati, Nani Hary Alfarizi Hasbiallah, Muhammad Herisaputra, Rizky Igel Huda, Miftakul Irawan, Teddy Kartini, Tri Mulyani Kholid Wahyudi Kinasih, Sekar Latifah Nurhasanah, Reka Hani Lubis, Birrham Efendi Maharani, Tyanshi Firli Maulana, Donny Maulana, Fariz Mawabagja, Dico Miftahul Huda Mochammad Imron Awalludin Moh. Restu Nur Rizki Muhamad Fatchan Muhamad Ridwan Muhammad Abdul Rahman Wahid muhidin, asep Mujizat, Hafidza Dafariz Mulqiya, Wafha Zahra Najamuddin Dwi Miharja, Muhammad Novianti, Annisa Dwi Novitasari, Aas Nugraha, Rhendy Diki Nugroho, Azwar Anas Agung Nugroho, Irvan Nuraini, Fadilah Nurcahyo, Danang Nurcholilah Nurcholilah Nurhadi Surojudin Nurhaliza, Zahra Oktavianti, Risma Nadia Perdana, Maulana Zidan Pertiwi Dwi Ningsih Prasetya, Ferdyana Eka Pratama, Hendri Purwanti PUTRI, TIARA Raehan, Muhamad Rafi Suswidia Rafiandi, Junian Rahardjo , Sugeng Budi Rahardjo, Sugeng Budi Raharjo, sugeng budi Rahayu, Nia Dwi Rahma, Syifa Aurellia Rahman, Farjul Ramadhani, Faiz Dzaki Respiar, Boby Retno Purwani Setyaningrum Ridwan Ahri Rifqi, Ifan Aly Rismawati Rismawati Rismawati Sadewo, Riski Probo Safrudin , Nurkholik Safrudin, Nurkholik Saputra, Wisnu Ikhwansyah Sarikun, Ahmad Nurdien Shandy, Ery Sianturi, Feibert Sihombing, Johanes Mula Febrian Siska Wulandari, Siska Sugeng Budi Rahardjo Suherman Suherman Sulaeman, Asep Arwan Susilo, Hendrik Ardhi Syahrul Gunawan Taryadi Taryadi Tedi, Nanang TITIN SUNARYATI Tri Ngudi Wiyatno umah, Nadiatul Valerian, Kumara Davin Wahyu Hadikristanto Wangsadanureja, Miftah Wibowo, Mohamad Hegar Sukmana Wilianto Wilianto Windi Windi, Windi Wiyanto Wiyanto Yudanto , Faisal Arya Zakaria, Nur Fajar Zulaeha Zulaeha Zy, Ahmad Turmudi