Article Per Year (5 Year)
p-Index From 2021 - 2026
10.11
P-Index
This Author published in this journals
All Journal Journal of Marine Research Syntax Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian UntukMu NegeRI Jurnal Ilmiah Ekonomi Islam BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA Kamaya: Jurnal Ilmu Agama Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL PENDIDIKAN TAMBUSAI JURNAL AGRIBISAINS Majalah Kedokteran Andalas DIVERSI : Jurnal Hukum Ta'dib: Jurnal Pendidikan Islam dan Isu- isu Sosial JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Bioindustri Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Jurnal Tunas Agraria Jurnal Ilmiah Wahana Pendidikan DedikasiMU: Journal of Community Service Hasanuddin Journal of Sociology (HJS). ARRUS Journal of Engineering and Technology Society: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JIPMukjt:Jurnal Ilmu Pendidikan Muhammadiyah Kramat Djati Jurnal Algoritma Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Jurnal Atma Inovasia Bandung Conference Series: Business and Management Indonesia Law Reform Journal (ILREJ) Jurnal Teknik, Komputer, Agroteknologi dan Sains Jurnal Ilmiah Pengabdian dan Inovasi Peradaban Journal of Law and Society Jurnal Pengabdian Pada Masyarakat Al-Khidmah: Jurnal Pengabdian Kepada Masyarakat OMNICODE Journal (Omnicompetence Community Developement Journal) (Indonesian of Interdisciplinary Journal) Qawanin Jurnal Ilmu Hukum Jurnal TNI Angkatan Udara Jurnal Pendidikan Dasar dan Keguruan Journal of Bioindustry PESHUM Jurnal Keselamatan Transportasi Jalan Indonesian Journal of Social Science and Education
Iqbal Maulana
Jurusan Teknik Sipil FT. UNDIP Jl. Prof. H. Soedarto SH., Tembalang, Semarang 50275
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 80 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 80 Documents
Search

 2   3   4   5   6 
PENERAPAN ALGORITMA NAIVE BAYES DENGAN CHI-SQUARE UNTUK KLASIFIKASI SPAM EMAIL BERBASIS KATA DAN FREKUENSI Firmansyah, Faiz Agil; Enri, Ultach; Maulana, Iqbal
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5506

Abstract

Email has become an essential communication tool in everyday life. However, the ease of its use is also exploited by irresponsible parties to spread spam. This research aims to implement the Naive Bayes algorithm with Chi-square in classifying spam emails based on words and frequency. The dataset used in this research consists of 153 data. This data was processed using the classification method using the Naive Bayes algorithm with Chi-square through the Knowledge Discovery in Databases (KDD) process. The results show that the accuracy value is 81.00%, the precision value is 100%, the recall value is 65%, and the F1-score value is 79% using Naive Bayes with Chi-square. Furthermore, the evaluation results using the ROC curve show that the AUC value reaches 0.91, which is categorized as very good. This research shows that the Naive Bayes algorithm with Chi-square is successful in classifying spam emails based on words and frequency.
IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING DALAM MENENTUKKAN FAKTOR HAMA YANG MEMPENGARUHI GAGAL PANEN PADA TANAMAN PADI Fifa Latifah, Umi; Haerul Jaman, Jajam; Maulana, Iqbal
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 6 (2024): JATI Vol. 8 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i6.11934

Abstract

Bidang pertanian adalah bagian penting dari kehidupan sebagian besar masyarakat indonesia karena banyak tanaman pangan yang dikembangkan dan dibudidayakan di indonesia, salah satunya adalah padi. Banyak hama menyerang tanaman padi, sehingga pengendalian dan penanggulangan yang tidak tepat dapat mengakibatkan penurunan produksi padi. Dalam kasus ini suatu Sistem Pendukung Keputusan (SPK) berbasis web dirancang untuk membantu petani dalam menentukan hama yang paling mempengaruhi gagal panen pada tanaman padi. SPK menampilkan hasil dalam bentuk peringkat. Banyak metode SPK yang dapat digunakan untuk membuat keputusan tentang masalah multicriteria atau berbagai kriteria. Ini menggunakan metode Simple Additive Weighting (SAW). Selanjutnya, metode SAW diterapkan pada sistem yang dibangun dengan menggunakan PHP dan MySQL untuk menghasilkan alternatif, dan dilakukan dengan menemukan nilai normalisasi matriks untuk masing-masing kriteria dan mencari hasil hama yang paling mempengaruhi kegagalan panen pada tanaman padi. Dalam kasus ini menggunakan 4 hama dan 4 jenis kriteria, dalam setiap kriteria memiliki bobot yang menggambarkan seberapa pentingnya kriteria ini dibandingkan dengan kriteria lainnya. Pembobotan ini digunakan untuk menilai setiap opsi untuk menemukan yang terbaik. Berdasarkan kriteria yang sudah ditetapkan dan hasil akhir menentukan hama Tikus yang paling mempengaruhi gagal panen dengan nilai preferensi tertinggi yaitu 86.67.
ANALISIS SENTIMEN TERHADAP GAME PALWORLD DI STEAM MENGGUNAKAN ALGORITMA BIDIRECTIONAL ENCODER REPRESENTATION FROM TRANSFORMERS Fiqri Faturrian, Muhammad; Haerul Jaman, Jajam; Maulana, Iqbal
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 1 (2025): JATI Vol. 9 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i1.12518

Abstract

Industri video game terus berkembang pesat, dengan lebih dari 3,09 miliar pemain aktif secara global. Salah satu game yang menarik perhatian adalah Palworld, yang mencapai 15 juta unit penjualan pada Februari 2024 namun menghadapi kontroversi plagiarisme. Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna Palworld di platform Steam menggunakan algoritma BERT, guna menganalisis efek dari kontroversi tersebut terhadap sikap dan kepuasan pemain terhadap game. Data sebanyak 10.020 ulasan dikumpulkan dengan menggunakan teknik web scraping melalui Steam API dari bulan Januari hingga November 2024. Pemodelan dilakukan dengan pembagian data training, data testing, dan data validation sebesar 80:10:10. Hyperparameter yang digunakan mencakup batch size 16, learning rate 0,00002, dan epoch 10. Evaluasi model menggunakan confusion matrix dengan metrik accuracy, precision, recall, dan f1-score. Hasil menunjukkan pembagian data 80:10:10 menghasilkan model dengan akurasi 86%, precision 86%, recall 86%, dan f1-score 86%.
Aliran Khawarij Dalam Perspektif Ilmu Kalam Syawal Karo-Karo, Muhammad; Maulana, Iqbal; Lubis, Zulfahmi
Ta'dib: Jurnal Pendidikan Islam dan Isu-Isu Sosial Vol. 22 No. 2 (2024): Pendidikan Islam dan Isu-Isu Sosial
Publisher : Prodi Pendidikan Agama Islam (PAI) Fakultas Tarbiyah IAI Hamzanwadi NW Pancor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37216/tadib.v22i2.1863

Abstract

Abstrak Aliran-aliran dalam Islam sangat banyak, penting kita untuk mengetahui aliran-aliran tersebut guna untuk menambah wawasan dan pengetahuan kita bersama agar kita bisa memilih yang mana kebenaran yang sesuai dengan ajaran-ajaran Nabi Muhammad Saw. Aliran Dalam tulisan ini, hanya satu aliran yang penulis bahas, karena menurut penulis aliran ini merupakan salah satu aliran dalam Islam yang sangat menyimpang dari tuntunan dan ajaran agama Islam sesungguhnya. Aliran Khawarij dalam ilmu kalam yaitu suatu sekte/kelompok/aliran pengikut Ali bin Abi Thalib yang keluar meninggalkan barisan karena tidak setuju terhadap Ali bin Abi Thalib yang menerima arbitrase/tahkim dalam perang Siffin pada tahun 37 H/648 M dengan kelompok pemberontak Muawiyah bin Abi Sufyan. Kemudian metode penelitian dalam artikel ini yaitu menggunakan metode studi pustaka, yaitu dengan mencari sumber-sumber referensi pembahasan dari buku-buku dan artikel jurnal lainnya. Dalam tulisan ini akan membahas definisi, sejarah perkembangan, pokok pemikiran, sekte-sekte, serta ajaran yang ada didalam aliran khawarij.
Indeks Bahaya dan Upaya Mitigasi Bencana Gelombang Ekstrim dan Abrasi di Wilayah Kecamatan Teluk Pakedai Maulana, Iqbal; Meirany, Jasisca; Lestari, Arfena Deah
Zona Laut : Jurnal Inovasi Sains Dan Teknologi Kelautan Volume 5, Number 3, November 2024 Edition
Publisher : Departemen Teknik Kelautan Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/zl.v5i3.40364

Abstract

Coastal areas face threats from hydro-oceanographic activities and human actions, leading to disasters such as extreme waves and coastal erosion. In Indonesia, particularly in Teluk Pakedai sub-district, these issues are prominent. Effective mitigation strategies tailored to the region's characteristics are essential. This research aims to analyze extreme wave and abrasion threats in Teluk Pakedai and develop mitigation plans. Using the Indeks Ancaman Bahaya Gelombang Ekstrim dan Abrasi (GEA) method outlined in BNPB's 2012 guidelines, factors like wave height, ocean currents, beach typology, vegetation, and coastline shape will be assessed and mapped using ArcGIS. From 2018-2023, significant erosion and accretion were observed, with the highest erosion in Kuala Karang Village (16.93 Ha) and the most accretion in Tanjung Bunga Village (57.79 Ha). Seven villages face medium to high danger from these threats. Recommended mitigation strategies include mangrove planting, constructing breakwaters, establishing early warning systems, and enhancing public awareness of extreme wave and abrasion risks.
Pengaruh Rasio Keuangan Pada Harga Saham Perusahaan Sektor Pertambangan pada Periode ISSI 2019-2023 maulana, iqbal; Andni, Riyan
Jurnal Ilmiah Ekonomi Islam Vol 10, No 3 (2024): JIEI : Vol.10, No.3, 2024
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v10i3.15187

Abstract

Mining has an important role in the Indonesian economy because it provides raw materials needed for various including infrastructure development, manufacturing consumer goods, and providing energy. The aim of this research is to determine and test the relationship between share prices of mining sector business actors in the Indonesian Sharia Stock Index (ISSI) for the 2019-2023 period with the variables CR, DAR and NPM. during the 2020-2023 period. The type of research used is quantitative research. The data analysis technique is using panel data regression analysis because it combines data between companies (cross section) and over time (time series) using the E-Views version 9 software application. The results of this research show that during the 2019–2023 period, mining sector share prices included in the Indonesian Sharia Stock Index (ISSI) will benefit from the Current Ratio (CR) variable. Meanwhile, in mining sector companies listed on the Indonesian Sharia Stock Index (ISSI) for the 2019–2023 period, the Debt to Asset Ratio (DAR) and Net Profit Margin (NPM) variables have no effect on the stock price variable.
PENGARUH KOMITMEN DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PADA BADAN PUSAT STATISTIK KABUPATEN SERANG Rozi, Achmad; Sandra, Mela; Maulana, Iqbal
DESANTA (Indonesian of Interdisciplinary Journal) Vol. 5 No. 1 (2024): September 2024
Publisher : Desanta Publisher

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

Abstract

For government agencies, the availability of quality, highly skilled and professional human resources is a requirement in order to improve the quality of state administration which provides satisfaction with the quality and services produced by the government to the community. Apart from commitment, employee competency is another important factor that greatly contributes to improving employee performance in an organization. This research aims to determine the influence of commitment and competence on the performance of employees of the Serang Regency Central Statistics Agency. This research uses a quantitative research method, namely a research method that uses data in the form of numbers to analyze the facts found which aims to determine the relationship between variables in a population. This research used 37 research respondents. Based on the results of data analysis, it was found that there is an influence of commitment on employee performance, there is an influence of competence on employee performance, there is an influence of Commitment and Competence together on employee performance, with a level of influence of 76,5%. The remaining 23,5% is influenced by other factors in the scope of human resource issues, for example, discipline, organizational culture, job satisfaction and so on, which are not included in this research.
Budidaya Lele Dan Tanaman Kangkung Dalam Satu Ember Untuk Meningkatkan Ekonomi Rumah Tangga: (Pelatihan Warga RT 01 RW 03 Kelurahan Kedungmundu) Muslikhun, Alfin; Rowiyani; Mukhlidin; Sholeh, Khoerul; Maulana, Iqbal
Jurnal Atma Inovasia Vol. 5 No. 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i1.10031

Abstract

Lele adalah ikan yang sering dikonsumsi masyarakat yang mudah dilakukan budidaya karena mampu bertahan dalam kondisi apapun. Sedangkan kangkung merupakan tanaman yang mudah dibudidayakan didalam air dan bisa dikonsumsi sehari-hari. Lele dan kangkung dapat dibudidayakan dalam satu tempat yang nantinya akan memiliki nilai ekonomis dan bisa menjadi konsumsi rumah tangga juga. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan keilmuan kepada para warga RT 01 RW 03 Kelurahan Kedungmundu tentang bagaimana budidaya lele dan kangkung di lahan yang sempit dengan menggunakan ember. Kegiatan pengabdian masyarakat ini diharapkan mampu meningkatkan ekonomi warga RT 01 RW 03 Kelurahan Kedungmundu untuk dapat membudidayakan lele dan kangkung yang nantinya bisa dikonsumsi sendiri maupun dijual di sekitar. Hasil dari kegiatan ini warga RT 01 RW 03 Kelurahan Kedungmundu dapat mengaplikasikan dalam kehidupan karena tidak memerlukan lahan yang luas hanya memakai ember. Pelaku budidaya juga bisa memantau perkembangan lele dengan memberikan vitamin dan makanan agar pertumbuhan lele sehat dan cepat. Tanaman kangkung juga akan dapat nutrisi dari air tempat lele tersebut. Hal ini merupakan terobosan yang mutualisme.
Analisis Sentimen Ulasan pada Aplikasi E-Commerce dengan Menggunakan Algoritma Naive Bayes Ramadhan, Bintang Zulfikar; Adam, Riza Ibnu; Maulana, Iqbal
Journal of Applied Informatics and Computing Vol. 6 No. 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4725

Abstract

The rapid development of E-commerce has given rise to many marketplaces in Indonesia such as Tokopedia, Shopee, Lazada. Tokopedia, Shopee and Lazada applications are applications that help sellers and buyers to make sales and purchase transactions for goods and services. Until now, of the three major E-Commerce applications, around 100 million users have downloaded the three E-Commerce applications. With the launch of some of these applications, it has caused a lot of opinions and criticisms from the public. Based on this, a sentiment analysis of the Naive Bayes algorithm was carried out to find out how the sentiment of users compares to the E-Commerce application on the Google Play Store. This research uses the Knowledge Discovery in Database (KDD) method which consists of 5 stages, namely data selection, preprocessing, transformation, data mining, and evaluation. The data used is a review of 500 E-Commerce applications per each application. At the data mining stage, it is carried out with 3 scenarios data sharing is 80:20, 70:30 and 60:40. The best results were obtained in scenario 1 (80:20) on the Shopee application using the Naive Bayes algorithm which resulted in an accuracy of 92%, precision of 92.13%, recall of 98.8% and f1-score of 95.35%.
Analisis Sentimen Pengguna Twitter Terhadap Grup Musik BTS Menggunakan Algoritma Support Vector Machine Safitri, Tiara; Umaidah, Yuyun; Maulana, Iqbal
Journal of Applied Informatics and Computing Vol. 7 No. 1 (2023): July 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i1.5039

Abstract

Twitter is often used as a source of public opinion and sentiment data for analysis, where the data can be used to understand public opinion about a topic. Sentiment analysis is widely used in various fields, one of which is in the marketing field. a company can carry out a sentiment analysis of the public figures they want to make Brand Ambassadors (BA), which later these sentiments can be taken into consideration for them to be able to determine the BA of their products. Sentiment analysis can also be used to distinguish the attitude of customers, users or followers towards a brand, topic, or product with the help of their reviews. Based on this, this study will analyze the sentiments of Twitter users towards music group BTS, using the Knowledge Discovery Database (KDD) research methodology, with 5 stages namely Data Selection, Data Preprocessing, Data Transformation, Text Mining and Evaluation. By using the Support Vector Machine (SVM) algorithm with a linear kernel, this study will do 3 scenarios with the distribution of training data and testing data 90:10 in scenario 1, 80:20 in scenario 2, and 70:30 in scenario 3. Confusion Matrix is used to evaluate the performance of the algorithm used and the results show that the best performance of the model formed is in scenario 1 and scenario 2.
Co-Authors Abhinaya, Reswara Faza ade, Nofri Affandi, Felix Rafiansyah Afrilian, Mochammad Agim, Agim Agusian, Sultan Agustin, Heny Ainun Jariyah Airin Liemanto Aisyah, Hizatul Akbar, Muhibudin Alamsyah, Indra Fajar Aldair, Muhammad Diva Alfian, Iqbal Amaliyah, Cinta Ayu Aminuddin Irfani, Aminuddin Ammellia Putri, Zahra Andi Rosa Andni, Riyan Anggellica, Silviana Apriade Voutama Ariana Salsabila, Nazwa Ariefah SUNDARI Aries Suharso Arif Prambudiarto, Benny Arifin Pahlawan, Ilham Astuti, Elsi Athariq, Fajar Aulia, Nazi Ratul Ayu E., Chinta Kartika Ayunaning, Kholidia Bahary, Achmad Rizal Basri, Ahmad Hasanul Betha Nurina Sari Briliyanti, Rahma Dita Budi Arif Dermawan Daud, Azzam Hasan Dewi Nurhanifah, Dewi Dikriyah Dwi Ely Kurniawan E Haodudin Nurkifli Edi Sofyan, Edi Elfrida Ratnawati Enri, Ultach Ermayanti, Sabrina Erwin Erwin FADLI, MOH Farah Putri Wenang Lusianingrum Fauzan . Fauzan, Miftahul Fazhira, Fuan Febrianti, Amanda febriyanti febriyanti Fifa Latifah, Umi Finisica Dwijayati Patrikha Fiqri Faturrian, Muhammad Firdausiah, Salsabila Firmansyah, Faiz Agil Fitri Kurniawati Fitriana Fitriana Gantara, Gerald Dewa garno, Garno Ghiffari, Ahmad Tsaqief Ghufron, Khairul Ginanjar, Noornissa Sarah Hanifah, Ayu Nur’aliyah Hendri, Zahratul Ahya Herlinda Herlinda, Herlinda Herlindah, Herlindah Intan Purnamasari Iqron Muhammad, Seno Irwani Irwani Ismawati, Iis Ismiasih, Ismiasih Iwan Permadi Jaman, Jajam Haerul Jannah, Erana Misbahul Jauharoh, Arini Juli Julaiha P Kholilur Rahman, Moh. Nur Khowwas, Aliyul Komarudin, Oman Kurnia Abdullah, Kunaifi Kurniawan, Syukri Lailaturrahmah, Lailaturrahmah Lestari, Arfena Deah Lubis, Zulfahmi Luthfi, Amar Madinatul Munawaroh Mardhiah, Gadis Ainum Marpaung, Willi Rahim Maulana, Asyifa Mayasari, Rini Medianti, Vebyola Dwi Meirany, Jasisca Mela Sandra Melina Miftahussalamah, Dwi Mizarti, Dessy Mohammad Al Farabi, Mohammad Mufid, Tsaqif Mu'tashim Muhammad Indrawan Jatmika Muhammad Manaqib, Muhammad Muhammad Syawal Karo-Karo Mukhlidin Mukholad Fauzi, Wildan Mumtaz Muizza, Muhammad Ahmad Muslikhun, Alfin Nora, Asla Norkhaliza, Fitria Novalia, Elfina Nugroho, Trio Nur Qomariyah Nur, Asrul Ibrahim Nuraini, Nabilah Hasna Onny Medaline Padilah, Tesa Nur Pamungkas, Mochammad Fitra perkasa, surya rimba Permata Ningtyas, Alviani Hesthi Permatasari, Ismi Aprilianti Pradipta, Aditya Arya Prakoso, Firza Agung Pramudya, Aditya Pranedya, Agatha Jessica Chelsea Pratama, Elvin Alan Pratama, Rizqy Arya Prawira Buana, Andika Purnamasari, Intan Nurina Purwantoro Putri, Windy Anissa Amilia Rafi, Rizqi Abdul Rahman, Sufirman Rahmayani, Fenny Ramadani, Fitriya Ramadhan, Bintang Zulfikar Riliandhita, Riliandhita Riza Ibnu Adam, Riza Ibnu Rizal, Adhi Rohman, Ahmad Maulana Rowiyani Rozi, Achmad Safitri, Tiara Sahri, Agus Salminawati Saputri, Nabila Wahyu Sari, Dinda Permata Sentot Purboseno Setiabudi, David Wahyu Shah, Akmal Sholeh, Khoerul Shonaliya, Indra Putra Siti Halimah Siti Halimah Solichah, Mar’atus Sri Catur Setyawatiningsih Sri Redjeki Sulistiyowati, Anjar Supriyadi Supriyadi Susilo Yuda Irawan, Agung Syafiih, M Syamsiar, Syamsiar Syarif Abdullah Syawal Karo-Karo, Muhammad Syukri Kurniawan Nasution Umaidah, Yuyun Utami, Rasrawati Widya Vincent, Roland Wasiyem, Wasiyem Wati, Helmalia Wina Witanti Wiyono, Slamet Wulandari, Adinda Yusuf Rismanda Gaja, Muhammad Yusup, Dadang ZAHWA, ST Zaini Dahlan