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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Ilmiah FIFO Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Komtika (Komputasi dan Informatika) IKRA-ITH EKONOMIKA Jurnal ICT : Information Communication & Technology JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Journal of Computer Science Contributions (Jucosco) Jurnal Komtika (Komputasi dan Informatika)
Herlawati Herlawati
Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Learning Vector Quantization, Hebbian Learning, and Self-Organizing Map for Classification Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.6942

Abstract

Deep Learning has been rapidly developed. Almost all proposed methods already have very high accuracy. Most of these methods still use techniques from the past with some modifications to adapt to existing modules. Sometimes it is necessary to understand past methods to produce new methods. Therefore, this research examines past models that have the potential to improve the performance of existing deep learning models. The methods to be examined include Learning Vector Quantization (LVQ), Hebbian learning, and Self-Organizing Map (SOM). The iris dataset available on Scikit-learn (SKlearn) is used here for testing in cases of supervised learning and unsupervised learning (especially SOM). The results show that LVQ has a good accuracy of 93%, while Hebbian learning has an accuracy of 56%. SOM fluctuates between 88% and 93%. Although the accuracy of SOM does not exceed LVQ, this model does not require labels in its training process.
Perubahan Kerapatan Vegetasi dan Penutup Lahan Terhadap Urban Heat Island (UHI) di Kota Bekasi Rahmadya Trias Handayanto; Haryono; Herlawati
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v4i1.2655

Abstract

The replacement of vegetation by roads, buildings, and other structures leads to increased absorption and reflection of solar heat, resulting in elevated surface temperatures in urban areas. This leads to the formation of more hotspots, triggering changes in weather and climate, which are key indicators of the Urban Heat Island (UHI) phenomenon. UHI refers to the phenomenon where urban areas experience higher temperatures compared to their surrounding areas. The primary factor influencing UHI is the conversion of vegetated land cover into developed areas due to urban growth. This causes an increase in surface temperatures due to a reduction in vegetation density and an increase in building density. Changes in land cover within the study area can be identified using unsupervised classification analysis, followed by the analysis of the Normalized Difference Vegetation Index (NDVI) to assess the vegetation index's impact on Land Surface Temperature (LST) and determine the surface temperature of Bekasi city. Accordingly, the objective of this research is to analyze the Urban Heat Island in Bekasi city using a quantitative approach that utilizes Landsat satellite imagery. The results indicate that the temperature in Bekasi city ranges from 25 to 31 degrees Celsius.  Keywords: Landsat-8, Land Surface Temperature, Land Use, NDVI, USGS   Abstrak Pergantian vegetasi oleh jalan, bangunan, dan struktur lainnya menyebabkan peningkatan penyerapan dan pantulan panas matahari, yang mengakibatkan kenaikan suhu permukaan di kota. Akibatnya, terbentuk lebih banyak titik panas yang memicu perubahan cuaca dan iklim, yang menjadi pemicu terjadinya Urban Heat Island (UHI). UHI adalah fenomena di mana wilayah perkotaan mengalami suhu yang lebih tinggi dibandingkan dengan wilayah sekitarnya. Faktor utama yang mempengaruhi terjadinya UHI adalah konversi lahan vegetasi menjadi area perkotaan akibat pembangunan kota. Hal ini menyebabkan peningkatan suhu permukaan karena berkurangnya kerapatan vegetasi dan peningkatan kerapatan bangunan. Perubahan tutupan lahan di dalam area penelitian dapat diidentifikasi melalui analisis klasifikasi tak terbimbing, diikuti oleh analisis Indeks Vegetasi Perbedaan Ternormalisasi (NDVI) untuk mengetahui pengaruh indeks vegetasi terhadap Suhu Permukaan Tanah (LST) dan menentukan suhu permukaan kota Bekasi. Dengan demikian, tujuan penelitian adalah untuk menganalisis Urban Heat Island di kota Bekasi dengan pendekatan kuantitatif yang menggunakan citra satelit Landsat. Hasil penelitian menunjukkan bahwa suhu kota Bekasi berkisar antara 25 hingga 31 derajat Celsius. Kata kunci: Landsat-8, Land Surface Temperatur, NDVI, Tata Guna Lahan, USGS
PENINGKATAN PENGEMBANGAN UMKM BERKELANJUTAN DI ERA DIGITAL DAN GO GREEN PASCA PANDEMI COVID-19 Herlawati Herlawati; Bayu Andriansyah; Ajie Prasetya; Handry Hartino; Ivan Nur Firdaus; Juandika Shevani; Muhammad Zidan Al Faiq; Raihan Nurfaidzi
Jurnal Pengabdian Masyarakat Information Technology Vol 2 No 1 (2023): Jurnal Pengabdian Masyarakat Information Technology - Maret 2023
Publisher : Teknik Informatika dan Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jpm_itech.v2i1.2312

Abstract

Pelaksanaan Pengabdian kepada Masyarakat (PkM) dalam bentuk Kuliah Kerja Nyata (KKN) oleh Mahasiswa serta Dosen dari Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya diadakan pada Perumahan Mustika Karangsatria RW 14 Tambun Utara Kabupaten Bekasi yang ditujukan untuk pelaku UMKM. Adapun tujuan dari pelaksanaan kegiatan ini yaitu agar pelaku UMKM yang termasuk pengurus pada RW 14 dapat: i) Memahami peranan penting digitalisasi terhadap data dari pelaku UMKM, dan ii) Memahami seberapa penting Go Green di lingkungan RW 14 setelah melewati pandemi Covid-19. Kegiatan KKN ini diharapkan dapat memberikan solusi permasalahan yang dialami oleh pelaku UMKM serta pengurus RW 14 yang termasuk ke dalam mitra kegiatan ini yaitu data pelaku UMKM di daerah tersebut belum tersusun dengan rapi, sehingga salah satunya dibuatlah sebuah aplikasi untuk menyimpan data tersebut berbasis website. Pada pelaksanaan kegiatan PKM ini, tim menerapkan pendekatan bidang edukasi (pendidikan) yang secara berkelanjutan. Metode pelaksanaan pada pelaksanaan kegiatan KKN ini yaitu a) Metode sosialisasi, b) Metode pengembangan, c) Metode penyuluhan serta d) Metode Pembelajaran. Hasil yang diperoleh dari pelaksanaan kegiatan ini berupa aplikasi yang dapat digunakan untuk proses pendataan pelaku UMKM untuk diolah serta memberikan bantuan kepada pengurus yang berada di sekitaran RW 14. Selain itu, itu diperoleh kondisi lingkungan yang hijau pada wilayah lapangan RW 14 pada sisi Go Green dengan melakukan penanaman kembali beberapa tanaman hijau
Sentiment Analysis of On-Demand Ride-Hailing Systems using Support Vector Machine and Naïve Bayes Bhagaskara Farhan Wiguna; Herlawati Herlawati; Ajif Yunizar Pratama Yusuf
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7384

Abstract

Gojek is one of Indonesia's most popular online transportation, founded in 2010. The Gojek application has been downloaded one hundred forty-two million times with more than two million drivers and four hundred thousand partners in food delivery services. Due to the increasing use of the Gojek application and the importance of knowing user views about the services provided by the application. In this research, the sentiment analysis is using Support Vector Machine and the Naïve Bayes method to classify positive sentiment and negative sentiment. The target label focus on positive and negative labels to aims avoid the bias that exists in neutrally labeled reviews on the Gojek Application. The research process includes data collection, pre-processing the data, weighting with Term Frequency-Invers Document Frequency, Support Vector Machine, and Naïve Bayes training by dividing the data into 90% training data and 10% testing data and then evaluating the results using a confusion matrix. The results of testing using the Support Vector Machine algorithm resulted in 90% accuracy, 94% recall, 91% precision, and 94% f1-score, therefore the Naïve Bayes algorithm produces 77% accuracy, 96% recall, 77% precision, and 85% f1-score.
SIX SIGMA STATISTIK DENGAN MINITAB DAN EXCEL Herlawati Herlawati
Paradigma Vol 10, No 1 (2008): Periode Januari 2008
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v10i1.17050

Abstract

Most companies, nowadays, are applying the six sigma approach to support the quality control of their products. The term six sigma is taken from statistic terms six and sigma. Six means number 6 and sigma means a symbol for a standard deviation. In other words, the standard deviation in use is 6s, meaning that to produce products with 0.002 per one million defect opportunity; the accepted limit of tolerance is 6 times as much as the standard deviation. The existence of noise factor theory which causes shift of mean to the right about 1.5s with 4.4 per one million defect opportunity (DPMO), initiate a number of practitioners to change the term six sigma with 3.4 DPMO, even though it is still controversial. Since most six sigma users are industries with great amount of products, which requires high level of accuracy and speed, thus the use of computer is inevitable. The most common six sigma software programs are Minitab and Excel. Nonetheless, software is only a means. IT is important to understand the essence of statistics so that not only enterprises (industry, trade, and the kind) but also service provider (education, medical, consultant, and etcetera) can apply it for quality control.
Pengoptimalan Penggunaan Smartphone Sebagai Digital Marketing Pada SMAN 14 Bekasi Prima Dina Atika; Fata Nidaul Khasanah; Herlawati; Rafika Sari; Endang Retnoningsih; Rahmadya Trias Handayanto; Tyastuti Sri Lestari
Journal Of Computer Science Contributions (JUCOSCO) Vol. 1 No. 2 (2021): Juli 2021
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jucosco.v1i2.698

Abstract

Penggunaan internet untuk aktivitas transaksi bisnis dikenal dengan istilah Electronic Commerce (E-commerce). Hal ini ditandai dengan meningkatnya jumlah pengusaha yang menggunakan e-commerce dalam perusahaannya. Digital marketing memudahkan pebisnis memantau dan menyediakan segala kebutuhan dan keinginan calon konsumen, di sisi lain calon konsumen juga bisa mencari dan mendapatkan informasi produk hanya dengan cara menjelajah dunia maya sehingga mempermudah proses pencariannya. Mitra dari kegiatan pengabdian kepada masyarakat yaitu guru SMA Negeri 14 Bekasi. Hal ini dilakukan sebagai upaya pengenalan dalam pengoptimalan penggunaan smartphone yang tidak hanya digunakan untuk sekedar menulis pesan, melakukan panggilan dan bersosial media saja, namun dapat juga dijadikan sebagai media yang mampu mendukung kegiatan usaha atau bisnis yang dimiliki oleh beberapa Guru. Pelaksanaannya materi yang dipaparkan mengenai pengantar digital marketing dan teknis penggunaan salah satu ­e-commerce Shopee. Metode pelaksanaan kegiatan ini dimulai dari penyuluhan, pelatihan dan evaluasi. Hasil dari kegiatan pelatihan menunjukkan para peserta antusias dengan adanya kegiatan ini dan menganggap materi yang dipaparkan sangat menarik dan bermanfaat.
Sistem Informasi Pemilihan Peserta Program Indonesia Pintar (PIP) Dengan Metode K-Nearest Neighbor pada SD Negeri Pejuang V Kota Bekasi Prihatin, Sandy Satyo; Atika, Prima Dina; Herlawati, Herlawati
Journal of Students‘ Research in Computer Science Vol. 2 No. 2 (2021): November 2021
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/g0q7c702

Abstract

The selection of participants for the Smart Indonesia Program (PIP) is an activity to determine students who are eligible for assistance. This study aims to create an information system for the Selection of Participants for the Smart Indonesia Program (PIP) which will assist Administrative Staff and SD Negeri Pejuang V Bekasi City in determining eligible and ineligible participants for assistance. The method used in this information system uses the K-Nearest Neighbor algorithm. The K-Nearest Neighbor process is carried out by giving weight to the student data attributes and looking for the Euclidean distance, then sorted from the smallest distance, after sorting the student data then looking for the closest distance to the training data. The K-Nearest Neighbor algorithm in data training is very fast, simple, easy to learn, effective with large training data and is resistant to data containing incorrect or anomalous values. The results of this study obtained student data as many as 77 students, there are True Positive (TP) data of 5 data, False Positive (FN) of 7 data, True Negative (TN) of 65 data and False Negative (FP) of 0. Results The accuracy obtained is 90.90% with a value of k=10.
Pencarian Jalur Terdekat Pada Pemetaan Sekolah Dasar Dengan Algoritma A-Star (A*) Berbasis Web Tambun, Jerisman Jhon Wesli; Herlawati, Herlawati; Atika, Prima Dina
Journal of Students‘ Research in Computer Science Vol. 3 No. 1 (2022): Mei 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/8e7aw911

Abstract

Elementary school is the starting place for a child to start education and get various kinds of experiences. Elementary school is the highest level of education compared to Junior High School and Senior High School. The large number of elementary schools makes parents/guardians not know for sure where the elementary school is located. This makes parents/guardians not have many references to send their children to school in the future. Based on the existing problems, the author proposes a web-based geographic information system that uses the A-Star Algorithm (A*) to be used as a means of information and also to add references to parents/guardians. The A-Star Algorithm (A*) is a method to search for information about the distance to reach the destination by selecting the closest route. The result of this research is a web-based geographic information system that can provide information about 6 samples of elementary schools along with the location and the closest route that can be passed in the Mustikajaya District area.
Penerapan Rest API Menggunakan Retrofit Untuk Sistem Informasi Film Berbasis Android (Studi Kasus: Sinopsis Film) Christhover , Robbie; Sugiyatno , Sugiyatno; Herlawati , Herlawati
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/j99m2v24

Abstract

Looking for film information is something that is often done before watching, but not infrequently many people waste time and money because the films they watch are not what they want, due to the lack of information on the films they want to watch. From this problem, the author proposes an application by implementing Rest Api Using Retrofit for an Android-Based Film Information System so that it can search for film synopsis, by utilizing an open-source API. The result of this research is an application that will provide information on the synopsis of the film you are looking for to watch.
Pendeteksian Wajah Bermasker Berbasis Android Menggunakan Algoritma Convolutional Neural Network (CNN) Hutauruk , Daniel Jhon Rosinton; Herlawati , Herlawati; Hendharsetiawan , Andy Achmad
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/9zxqxm22

Abstract

The masks are an effort that must be made in that is why spreading viruses covid-19 while doing suitable activities indoors and out of the room. In doing suitable activities indoors and out of space we should use a mask to reduce the spread of the virus and must abide by protocols covid-19 health must be implemented in various aspects of life. For that reason, a system that detects the use of a mask when you implement an activity whether to use a mask or not use masks. To perform work use masks can use algorithms convolutional neural networks assisted by graphic user interface (GUI) platform and using the internet of things. Input from algorithm convolutional neural network and using a platform of the internet of things. Input from algorithm convolutional neural network in the form of a picture consisting of 120 image data consisting of 60 image data not wearing masks and 60 image data wearing a mask. The result of this research can detect the mask 100 % according to input image data.
Co-Authors A.A. Ketut Agung Cahyawan W Abd Rohman Abdul Kholis Achmad Wira Wiguna Adam Adam Adam Fajariansyah Adi Muhajirin Adi Supriyatna admin admin Aera Santiana Agus Hidayat Agustin, Syafira Cessa Ajie Prasetya Ajif Yunizar Pratama Yusuf AlHakim, Abdu Malik Andy Achmad Hendharsetiawan Anggaini, Meri Anisa Feby Yana Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anton Anton Ardiansyah, Muhamad Arrasyid, Rizky Maulana Asmoro Bangun Priambodo Atika , Prima Dina Ayu Afidarisa Rahma Bangga Tua Siregar Bayu Andriansyah Ben Rahman Beno Aditya Sanusi Beno Aditya Sanusi Benrahman Bhagaskara Farhan Wiguna Binu Nuryadi Budi Santoso Bunga Pratiwi Cahyaaty, Tata Arya Christhover , Robbie Dadan Irwan Dani Dani Daniel Jhon Rosinton Hutauruk Desi Puspasari Diah Putri Ramadhani Dicki Rizki Amarullah Didik Setiyadi Dinda Mutiara Hanum Dwi Budi Santoso Dwi Budi Srisulistiowati Eka Puspita Sari Eka Suryani Pratiwi Ekawati, Inna Endang Retnoningsih Erene Gernaria Sihombing, Erene Gernaria Ervan Dwi Kurniawan Fachrullyanta Adi Saputra Fadilah, Naufal Arif Fahrika, Andi Ika Faisal Adi Saputra Fandiansyah, Rafly Fata Nidaul Khasanah Feni Meilan Tasiba Firyal Rosiana Dita Frieyadie Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Gymnastiar, Muhammad Handry Hartino Haris, Syamsul Alam Harviansyah, Muhammad Haryono Haryono Haryono Hendharsetiawan , Andy Achmad Hendharsetiawan, Andy Achmad Heri Prabowo Hero Suhartono Hero Suhartono, Hero Hutauruk , Daniel Jhon Rosinton Icah Fitri Yani Idaul Hasanah Ikhsan Dwikurniawan Ikhsan Dwikurniawan Ira Wardani Irham Cahya Nugraha Irwan Raharja Ivan Nur Firdaus Izdihar, Zalfa Jaja Jaja JAJA, JAJA Joko Dwi Hartanto Juandika Shevani Julaiwa, Siti Hawa Karnita Afnisari, Karnita Krisendo Setiawan Kukuh Dwi Prasetyo Kurniawan, Ervan Dwi Kustanto , Prio Ladyana Suciani Syafitri Lestari, Tyastuti Sri Lubis, Riski Aditya Magdalena, Caroline Julyana Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah, Maimunah Malikus Sumadyo Mardi Yudhi Putra Mayora Lolly Ishimora Merza Dheo Prakoso Muhamad Ardiansyah Muhammad Harviansyah Muhammad Muharrom Muhammad Riky Sudrajat Muhammad Zidan Al Faiq Nabila , Marsyanda Salsa Ningrum, Mirza Cahya Nita Merlina Nita Merlina, Nita Nitin Kumar Tripathi Noer Hikmah Novaldi Nur Pratama Novianto, Krisna Nunung Hidayatun Nur Amanda Pratiwi Nurchayati Nurchayati Nurcholis Nurcholis Oriza Sativa Dinauni Silaen Pahrizal, Pahrizal Popy Purnamasari Wahid Suyitno Pradana , Galih Apriansha Pramuhesti, Salwa Nabiila Priatna , Wowon Prihatin, Sandy Satyo Prima Dina Atika Purnama, Putra Aldi Purnomo, Rakhmat Purwanti, Santi Rachmatin, Nida Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Raihan Nurfaidzi Ramadhan, Sahara Ramadhani, Diah Putri Rasim Rasim Rasim, Rasim Rejeki , Sri Retno Nugroho Whidhiasih Retno Sari Riska Utami Dewi Rismayana, Raka Rizki Aulianita, Rizki Robbie Christhover Robertus Suraji Rosliana, Siti Rusdiansyah Rusdiansyah Salwa Nabiila Pramuhesti Samsiana , Seta Sandy Satyo Prihatin Santoso , Muhammad Reinaldy Sanusi, Beno Aditya Saputra , Faisal Adi Saputra, Fachrullyanta Adi Sari , Rafika SATRIYAS ILYAS Septi Eka Hardyana Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setiawan, Andy Achmad Hendhar Setyowati Srie Gunarti, Anita Shadriyah , Shadriyah Silaen, Oriza Sativa Dinauni Siti Masripah, Siti Siti Rosliana SITI SETIAWATI Sohee Minsun Kim Solikin Solikin Solikin Solikin Sri Rejeki Sri Sureni Sugeng Murdowo Sugiyatno , Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sunandar Sunandar Syadhaffa Gedriyansah Syafina, Prilia Hashifah Syahbaniar Rofiah Syahfitri, Intan Cahya Tambun, Jerisman Jhon Wesli Tia Monisya Afriyanti Trisumeikra, I Komang Arya Tumbur Togu Tyastuti Sri Lestari Tyastuti Sri Lestari Umi Salamah Wicaksono, Naufal Eka Wida Prima Mustika Wiguna, Bhagaskara Farhan Wijaya, Indra Yana, Anisa Feby Yessi Rahmawati Yugo Bhekti Utomo Yusuf, Ajif Yunizar Pratama