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All Journal JURNAL ECONOMIA Efisiensi : Kajian Ilmu Administrasi MEKTEK Foristek TEKNIK Transmisi: Jurnal Ilmiah Teknik Elektro HUMANIKA Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Ilmu Perpustakaan Excellent Techno.Com: Jurnal Teknologi Informasi Paramita: Historical Studies Journal KOMUNITAS: INTERNATIONAL JOURNAL OF INDONESIAN SOCIETY AND CULTURE Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran BAHASA DAN SASTRA Jurnal Natapraja : Kajian Ilmu Administrasi Negara Al-'Adalah Analisis: Jurnal Studi Keislaman Al-Hikmah Mozaik Humaniora International Journal of Advances in Intelligent Informatics Jurnal Kebijakan dan Administrasi Publik Scientific Journal of Informatics Jurnal Ilmiah Giga Jurnal Ijtimaiyya Jurnal Populasi COMPETITIVENESS JOURNAL Jurnal Sejarah Citra Lekha Berkala Kedokteran Kurva S : Jurnal Keilmuan dan Aplikasi Teknik Sipil Al-Adyan: Jurnal Studi Lintas Agama JURNAL MAHKAMAH Jurnal Ilmiah Peuradeun ARISTO Cakrawala : Jurnal Humaniora Bina Sarana Informatika JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik Universitas Medan Area Jurnal Penelitian Pendidikan IPA (JPPIPA) Ilmu Budaya: Jurnal Bahasa, Sastra, Seni, dan Budaya JRST (Jurnal Riset Sains dan Teknologi) Humani (Hukum dan Masyarakat Madani) HARMONI IHiS (Indonesian Historical Studies) Journal of Maritime Studies and National Integration Expose: Jurnal Ilmu Komunikasi LUGAS Jurnal Komunikasi Jurnal Hukum Ekonomi Syariah Journal of Humanities and Social Studies EPI International Journal of Engineering Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Komunikasi dan Organisasi (J-KO) Jurnal Ilmiah Ilmu Komunikasi Communique Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Jurnal Kajian Komunikasi dan Pembangunan Daerah Jurnal Promotif Preventif International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Journal of Soft Computing Exploration Engineering, Mathematics and Computer Science Journal (EMACS) Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Journal La Sociale International Journal of Robotics and Control Systems International Journal of Economy, Education and Entrepreneurship (IJE3) Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan Lani: Jurnal Kajian Ilmu Sejarah dan Budaya ALEXANDRIA: Journal of Economics, Business, and Entrepreneurship Jurnal Teknik Sipil Al-Afaq: Jurnal Ilmu Falak dan Astronomi Unnes Journal of Mathematics Education Unnes Journal of Mathematics Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Batara Wisnu : Indonesian Journal of Community Services Bussman Journal : Indonesian Journal of Business and Management KOMUNIKATA57 Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Bilqolam Pendidikan Islam Jurnal Pengabdian Teratai Formosa Journal of Applied Sciences (FJAS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Maritime Park: Journal Of Maritime Technology and Socienty Jurnal El-Thawalib Journal of Law, Poliitic and Humanities Jurnal Peradaban Masyarakat (JPM) YASIN: Jurnal Pendidikan dan Sosial Budaya Journal of Innovation and Research in Primary Education Analisa: Journal of Social Science and Religion Al-Istinbath: Jurnal Hukum Islam INOVASI: Jurnal Hasil Pengabdian Masyarakat Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Inovtek Seri Teknik Sipil dan Aplikasi (TekLA) Jurnal Manajemen, Akuntansi, Ekonomi Studies in English Language and Education ARMADA : Jurnal Penelitian Multidisiplin Jurnal Masyarakat Madani Indonesia Innovative: Journal Of Social Science Research IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya International Journal of Sharia Business Management Multazam : Jurnal Manajemen Haji dan Umrah J-EDu : Journal - Erfolgreicher Deutschunterricht Journal of Information System Exploration and Research Tanjungpura Journal of Coaching Research Jurnal Abdimas Lamin Recursive Journal of Informatics Research in Education, Technology, and Multiculture Social Science Academic Journal of Contemporary Law Studies Journal of Law & Policy Review GEMBIRA (Pengabdian Kepada Masyarakat) PEDAMAS (Pengabdian Kepada Masyarakat) AGROTEKBIS: Jurnal Ilmu Pertanian JKAP (Jurnal Kebijakan dan Administrasi Publik) ANDIL Mulawarman Journal of Community Engagement Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Jurnal ARSI : Administrasi Rumah Sakit Indonesia Indonesian Journal of Maritime Technology or abbreviated (ISMATECH) Jurnal Agroteknologi dan Kehutanan Tropika Brand Communication Jurnal Pengabdian Kepada Masyarakat Kalam Jurnal Abdi Negeriku Kinerja : Jurnal Manajemen Pendidikan Islam Jurnal Riseta Soshum Journal of Islamic Mubādalah EDUTREND: Journal of Emerging Issues and Trends in Education Jurnal Ilmiah Multidisiplin J-CEKI Jurnal Ilmiah Riset Aplikasi Manajemen Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmu Sosial dan Humaniora Journal of Management Branding HUKUM EKONOMI ISLAM Jurnal El-Thawalib
Alamsyah -
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Journal : Recursive Journal of Informatics

 1 
Comparison of Naive Bayes Classifier and K-Nearest Neighbor Algorithms with Information Gain and Adaptive Boosting for Sentiment Analysis of Spotify App Reviews Saputro, Meidika Bagus; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol 2 No 1 (2024): March 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v2i1.68551

Abstract

Abstract. At this time, the development of technology are increase rapidly. One of the issue that appear with advance technology is data volume in the world has increase too. With the large data volumes that exist in the world it can be used to some purpose in many field. Entertainment is one of the field that have many interest from user in this world. Spotify is the example of entertainment apps that provided by Google Play Store to give online music streams to their users. Because that apps is provided by Google Play Store, many reviews of the user about the apps it can be classified to know the positive, negative, or neutral. One way to classified the review of user is make sentiment analysis. In this paper, to classify the review we use naïve Bayes classifier and k-nearest neighbors that will be compared with adding Information gain as feature selection and adaptive boosting as boosting algorithm of each classification algorithm that we used. The result of classification using naïve Bayes classifier with adding Information gain and adaptive boosting is 87.28% and k-nearest neighbor with adding information gain and adaptive boosting can perform accuracy of 80.35%. Purpose: Knowing the result each of accuracy from the naïve Bayes classifier and k-nearest neighbor algorithm with adding information gain and adaptive boosting that we used and know how to doing the sentiment analysis step by step with the methods that chosen in this study. Methods/Study design/approach: This study applied data preprocessing, lexicon based labelling with TextBlob, Normalization, Word Vectorization using TF-IDF, and classification with naïve Bayes classifier and k-nearest neighbor, information gain as feature selection, and adaptive boosting as boosting algorithm to boost the accuracy of classification result. Result/Findings: The accuracy of naïve Bayes classifier with adding information gain and adaptive boosting is 87.28%. Meanwhile, by k-nearest neighbor with adding information gain and adaptive boosting reach the accuracy of 80.35%. This result obtained by using 60.000 dataset with data splitting 80% as data training and 20% as data testing. Novelty/Originality/Value: Implementing information gain as feature selection and adaptive boosting as boosting algorithm to naïve Bayes classifier is prove that it can be increase the accuracy of classification, but not same when implementing in k-nearest neighbor. So, for the future research can applied another classification algorithm or feature selection to get better result.
Development of Digital Forensic Framework for Anti-Forensic and Profiling Using Open Source Intelligence in Cyber Crime Investigation Hakim, Muhamad Faishol; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol 2 No 2 (2024): September 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v2i2.73731

Abstract

Abstract. Cybercrime is a crime that increases every year. The development of cyber crime occurs by utilizing mobile devices such as smartphones. So it is necessary to have a scientific discipline that studies and handles cybercrime activities. Digital forensics is one of the disciplines that can be utilized in dealing with cyber crimes. One branch of digital forensic science is mobile forensics which studies forensic processes on mobile devices. However, in its development, cybercriminals also apply various techniques used to thwart the forensic investigation process. The technique used is called anti-forensics. Purpose: It is necessary to have a process or framework that can be used as a reference in handling cybercrime cases in the forensic process. This research will modify the digital forensic investigation process. The stages of digital forensic investigations carried out consist of preparation, preservation, acquisition, examination, analysis, reporting, and presentation stages. The addition of the use of Open Source Intelligence (OSINT) and toolset centralization at the analysis stage is carried out to handle anti-forensics and add information from digital evidence that has been obtained in the previous stage. Methods/Study design/approach: This research will modify the digital forensic investigation process. The stages of digital forensic investigations carried out consist of preparation, preservation, acquisition, examination, analysis, reporting, and presentation stages. The addition of the use of Open Source Intelligence (OSINT) and toolset centralization at the analysis stage is carried out to handle anti-forensics and add information from digital evidence that has been obtained in the previous stage. By testing the scenario data, the results are obtained in the form of processing additional information from the files obtained and information related to user names. Result/Findings: The result is a digital forensic phase which concern on anti-forensic identification on media files and utilizing OSINT to perform crime suspect profiling based on the evidence collected in digital forensic investigation phase. Novelty/Originality/Value: Found 3 new types of findings in the form of string data, one of which is a link, and 7 new types in the form of usernames which were not found in the use of digital forensic tools. From a total of 408 initial data and new findings with a total of 10 findings, the percentage of findings increased by 2.45%.
C4.5 Algorithm Optimization and Support Vector Machine by Applying Particle Swarm Optimization for Chronic Kidney Disease Diagnosis Ariyanti, Lisa; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol 1 No 1 (2023): March 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v1i1.65196

Abstract

Kidneys are one of the organs of the body that have a very important function in life. The main function of the kidneys is to excrete metabolic waste products. Chronic kidney disease is a result of the gradual loss of kidney function. Chronic kidney disease occurs when the kidneys are unable to maintain an internal environment consistent with life and the restoration of useless functions. Data mining is one of the fastest growing technologies in biomedical science and research. In the field of medicine, data mining can improve hospital information management and telemedicine development. In the first stage of data mining process, data processing is done with pre-processing by handling missing values ​​and data transformation. Then, the feature selection stage is carried out using the Particle Swarm Optimization algorithm to find the best attributes. Next, it is done by classifying the dataset. The algorithm used for classification is the C4.5 Algorithm and the Support Vector Machine. Both classifications are known as algorithms that have a fairly good level of accuracy. This study uses the chronic kidney disease dataset from the UCI Machine Learning Repository. The purpose of this study was to determine the level of accuracy of the comparison between the C4.5 Algorithm and the Support Vector Machine after applying the Particle Swarm Optimization algorithm. This research increases the accuracy by 100% for the C4.5 Algorithm and 98.75% for the Support Vector Machine by using 24 attributes and 1 class attribute.
Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification Azzahrah, Diah Siti Fatimah; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol 1 No 2 (2023): September 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v1i2.66078

Abstract

Purpose: This study aims to compare algorithms to determine the accuracy of the algorithm and determine the speed of the algorithm used for diabetes classification. Methods: There are two algorithms used in this study, namely Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN). The data used is the Pima Indians Diabetes Database. The data contains 768 data with 8 attributes and 1 target class, namely 0 for no diabetes and 1 for diabetes. The dataset has been divided into 80% training data and 20% testing data. Result: Accuracy is obtained after implementing k-fold cross validation with a value of k = 4. The accuracy results show that the k-Nearest Neighbor algorithm is superior and has better quickness compared to the Probabilistic Neural Network. The k-Nearest Neighbor algorithm obtains an accuracy of 74.6% for all features and 78.1% for four features Novelty: The novelty of this paper is optimizing and improving accuracy which is implemented with by focusing on data preprocessing, feature selection and k-fold cross validation in the classification algorithm
Co-Authors -, Mukharom A Fahira Nur A. Mushawwir Taiyeb, A. Mushawwir A.Paturusi, Idrus Abdillah, Riza Abdirozaq, Mifta ABDULRAHMAN, DIMAS Abdurahman, Ade Irfan Abdurrahman, Ade Irfan Abidin, Muhamad Zainal Abror, Wiena Faqih Achmad Musyahid, Achmad Achmad Syarifudin, Achmad Aden Rosadi Adi, Yuanita Permata Adiningrat, Andi Arifwangsa Adrianton A. Afifah, Eka Nur Afrida Sary Puspita Afrilian Ardi Arus, Afrilian Ardi Afrizal Rizqi Pranata, Afrizal Rizqi Agus Hitopa Sukma Agustan Agustan, Agustan Agustina, Tin Ahdi, Hapizul Ahmad Nashir Ahmad Syarif Ahwan, M Tami Rosadi Airlangga, Gregorius Akhmad Akhmad Al-Araf, Khairunnisa Al-Hafizh, Fadhl Alfajry, Gefian Alfharezi, M. Salman Alfitri Alfitri Ambo Dalle Aminuyati Amiruddin Kade Ana, Ninda Ade Anantadjaya, Samuel PD Andayani, Lies Andy Alfatih Angelina, Riska Angga, Vicky Very Anggyi Trisnawan Putra Angreany, Femmy Aniskuri, Lulu Fitria Arian, Vabrian Prima Dana Arif, Fathan Arifuddin, Andi Mursid Nugraha Arina Faila Saufa, Arina Faila Ariyanti, Lisa Asnidar Asnidar Asri, Wahyu Kurniati Asriati Asriati, Asriati Astin, Widya Yulia Astrid, A Fauziah Aulia, Ahmad Bagas Aditya Ilham Awaludin, Dipa Teruna Ayun Maduwinarti Azzahra, Marsha Azzahrah, Diah Siti Fatimah Bachtiar, Alfan Barizki, Rezzi Nanda Bertin Ayu Wandira Bia Dwiripa Botutihe, Fauziah Budi Prasetiyo, Budi Budi Susanto BUKHORI, MOHAMMAD Burhamzah, Muftihaturrahmah Cahyani, Alviana Eka Chandra, Adi Damayanti, Prisila Desilawati, Nur Dewi Yuliati Dewi, Dyah Utami Dianiswara, Anggoronadhi Diantoro, Eman Djunuda, Rahmawati Dwi Ridho Aulianto Dwijanto Dwijanto, Dwijanto Edi Purwanta el-Hajjami, Aicha Endang Sugiharti, Endang Ernawati Ernawati Esti Handayani, Dwi Etin Anwar, Etin Fahmi, Yuniar Krinanda Faisal Mahmuddin Fakhruddin Fakhruddin Faozi, Irfan Fatari, Fatari Fauzan Syahru Ramadhan Febryano Manggala Putra Ferdian, Syahrul Fitriana, Susi Fitriani, Danik Florentina Yuni Arini, Florentina Yuni Fournawati, Sri Murdilah Fridayasha, Nur Furkon Sukanda, Ukon Habib Shulton Asnawi Hafidz Hanafiah Hajra Rasmita Ngemba Hakim, Muhamad Faishol Halim, Bravura Candra Halim, Susanna Hamida Umil Khoiriyah Handarko, Jefry Latu Handayani, Tut Handoko, V.Rudy Hapsari, Dessy Purwita Hardi Suyitno Hardinata, Riyan Hari Yeni Harinurhady, Agus Hariyono Hariyono Hariyono Harningsih, Harningsih Haryono Rinardi Hasbullah Hasbullah Helda Syahfari Hendra Alfani, Hendra Hermansyah, Agung Hermiyanti Hermiyanti, Hermiyanti Hidasari, Fitriana Puspa Hidayat, Kukuh Triyuliarno Hijjah, Siti Dzul Hijriah, Hijriah Hiswanti Hiswanti Husyam, Husyam I Ketut Eddy Purnama Iismayanti Ikhwani, Rodlian Jamal Ilham Insani, Muhammad Illy Yanti Imam Ahmad Ashari, Imam Ahmad Iman, Maidi Muhammad Indriani Tiara Putri, Indriani Tiara Irvani, Rodhy Irwanda, Andri Iskandar, Muhammad Istiani, Titania Iswahyu Pranawukir Izzulhaq, Muhammad Agil J, Jusriadi Jam'an, Andi Jamaludin, Abdul Rafi Jamil Jamil Jasri, Jasri Jaya, Saskia Chaerunnisa Johar Amir Jonathan Irene Sartika Dewi Max Juliana Juliana Julianto, Diki Julius Bata Jumanto Unjung Jusman Mansyur Kahfi, Ibnu Kamal, Saenal Kautsar, Nadafia Khumaero, Latifatul Kiagus Muhammad Sobri Kumalasari, Putri Laksita Kumandang, Niti Gede Kustiwansa, Harlian Kusumawati, Novita Sri Laila, Rahma Larasati, Ukhti Ikhsani Lenita, Leila Anggraeni Lestuny, Carolina Lina wati Linda Firdawaty Listiyani, Melia Lumenteri, Fido Fortunatus M. Uswah Pawara Mahendra, Yoga Mahmud Mahmud Makin, See Jong Malek, Nor Fazila Abd Mannahali, Misnah Mansyur, Saidin Marhaen Hardjo Marsiana, Siwi Martdiansyah, Martdiansyah Marwan Marwan Maryanto - Masrur, Masrur Maulana Maulana, Maulana Maulana, Andin Muhammad Mauridhi Hery Purnomo Mery Subito Mery Yanti Misnan, Misnan Mochammad Mirza mubarak, azhar aras Much Aziz Muslim Muhajir, Fatimah Muhammad Aqil Muhammad Aziz Muhammad Haikal Muhammad Husni Thamrin, Muhammad Husni muhammad rizky, muhammad MUHAMMAD ULIN NUHA Muhammad, Afrizal Prasetyo Nur Muharram, Susilawati Muhlis Muhlis Muhrawati, Muhrawati Mukhlas, Oyo Sunaryo Mursalin, Destrianto Muslimin, A. Mustamin, Siti Walidah Mustari, Aidynal Nabiilah, Syarafina Nana Mulyana Nanda Barizki, Rezzi Nawangwulan, Irma M Ngesti Lestari Noerlina Anggraeni Noor Jannah, Noor Noviantoro, Djatmiko Novitasari, Eni Noviyanti, Cindy Nabila Nugraha Arifuddin, Andi Mursid Nugraha, Andi Mursid Nugroho, Oskar Ika Adi Nur Halimah Nurdianti, Nunu Nurdin Zuhdi, M. Nurnawaty, Nurnawaty Nurul Faidah Obing Zaid Sobir Oksapianus, David Soni P. Eko Prasetyo Pastika, Puan Bening Permadi, Dimas Bayu Satria Permata, Nuniek Pramudya, Pahala Bima Prasetya, Agesta Citrasena Pratama, Rizka Nur Pugu, Dhanang Respati Puhululawa, Indriyani Pujo Hari Saputro Purwandito, Rizky Putri, Atika Kurnia Putri, Erita Riski Putri, Rezania Novianti Putri, Rukiana Novianti Rahayu, Shinta Devi Ika Santhi Rahayuningrum, Hesti Rahmaddan, Muhammad Kevin Rahmat Dahlan Ramadhani, Fadhila Ramadhani, Rizky Ranindya Puspaning Mellaty, Ranindya Puspaning Rasyid, Rohsita Amalyah Ratu, Inaka Dalam Bangsa Rhamadanty, Winda Ayu Utami Rhamadhan, Mohammad Ryan Ridwan Daud Mahande Rifan, Slamet Riri Anggriani Riyanti, Mayang Riza Arifudin Rizana Fauzi, Rizana Rochmad - Rofik Rofik, Rofik Rohman, Shohihatur Rosalia, Hotmah Nur Rostiati Dg Rahmatu RR. Aryanti Kristantini Rufaida, Erty Rospyana Ryfial Azhar, Ryfial S, Candra S, Ramli S, Zulfani Sa'adah, Shofi Putri Safri Haliding Salam, Hisbullah Samaluddin, Samaluddin Sam’an, Muhammad Sampurno, Global Ilham Samriadi, Andi Samsir Samsir, Samsir Saputra, Faisal Tomi SAPUTRA, SARIPUDIN Saputro, Meidika Bagus Saraswati, Erlisa Sari , Dyan Prawita Sari, Yenni Puspita Sartika Sartika Sayful, Sayful Sebastian, Ligal Sekarningsih, Cindra Fajar Septian, Septian Septiandani, Dian Setialaksana, Wirawan - Setijadi, Eko Shukla, Manish Simon Sumanjoyo Hutagalung Singgih Tri Sulistiyono Siregar, Rachmi Kurnia Siti Harnina Bintari SITI MAHMUDAH Siti Maziyah Sitinah, Sitinah Sitorus, Chris Jeremy Verian Sobri, Kgs. M. Sri Indrahti St. Salehah Madjid Suandi, Fikri Suandi, Fikry Suardi Suardi Suardi Suardi, Suardi Sugianto, Lai Ferry Sugiarto S Sugiman Sugiman Suhaeb, Laelah Azizah S. Sukirman, Asrianti Sukma , Agus Hitopa Sukma Sukma, Agus Hitopa Sukma Sulasri, Sulasri Suntin, Suntin Sunyoto Sunyoto Surawan, Surawan Suryani, Atik Suseno, Ari Susiloputro, Agus Syadzali, Abdul Mujib Syahbani, Nur Lisa Syaiful Hendra Syamsu Rijal Syamsuri, Andi Sukri Syaputra, Arlian Fachrul Syarifah Fatimah, Syarifah Syarifuddin Syarifuddin Tan Suryani Sollu Taufik Hidayat Taufik Hidayat Therendy, Therendy Tiurmaida, Serepina Topanto, David Ulhaq, Muhammad Naufal Daffa Uray Gustian, Uray Urfah Atut Chosiyah Vannia, Adji Mayumi Veithzal Rivai Zainal Vember, Hilda Veybitha, Yolanda Vidyanto, Vidyanto Walid Walid, Walid Warda Warda Warjaya, Wahyu Wibisono, Tika Aryana Wicaksana, Dinar Anggit Widiargun, Diah Widjanarko Widjanarko, Widjanarko Wijaya, Vibra Windi Nopriyanto Wira Setiawan Wiswadas, Wiswadas wukir, Iswahyu wulandari, amalia ika Wulandari, Kevin Olyvia Yanuar Yoga Prasetyawan Yety Rochwulaningsih Yuli Rohmiyati Yuliatin yuliatin Yuliyana, Yuliyana Yundari, Yundari Yusnaini Yusnaini Zaenal Abidin Zakariyati, Zakariyati Zamruddin, Mardliya Pratiwi Zara Tania Rahmadi Zobir, Obing Said Zulkarnaen, Zen