Article Per Year (5 Year)
p-Index From 2021 - 2026
14.93
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Intelligent Decision Support System (IDSS) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Vision and Ideas (VISA) Bulletin of Multi-Disciplinary Science and Applied Technology TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Journal of Health, Engineering and Technology Jurnal Kajian dan Penelitian Umum Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Journal of Data Analytics, Information, and Computer Science (JDAICS) Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Jurnal Inovasi Informatika dan Bisnis Digital (JIIBD)
Pardede, Akim Manaor Hara
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities 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 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 : 154 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 154 Documents
Search

 11   12   13   14   15 
Categorying Sugarcane Production Based On Factors Affecting Productivity With The K-Nearest Neighbor Algorithm Pratiwi, Anggi; Pardede, A M H; Prahmana, I Gusti
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.295

Abstract

Sugarcane (Saccharum Officanarum is an annual plantation crop, which has its own characteristics, because the stem contains sugar. To classify the results of sugarcane production, currently still using the manual method by only looking at the current conditions of sugarcane production. This is less efficient because there is no calculation process in grouping sugarcane. So that mistakes can occur in grouping sugarcane production to get good results or not in the assessment of sugarcane grouping at PTPN II Kwala Madu. For this reason, the author will create an alternative application system that can group sugarcane production with the K-Nearest Neighbor algorithm to find out the best type of sugarcane production based on the factors. The application made by the author uses the PHP programming language and uses the MySQL database as data storage. The system is made as easy as possible to make it easier for users to use and understand later.
Correlation Between Technological Advances On Employee Performance Using A PRIORI Method (Case Study: PLN City of Binjai) Alya Fadillah; Pardede, A M H; Ambarita, Indah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.304

Abstract

Technology is a set of tools that can be used or utilized by humans to facilitate various forms of work. Employee performance is the ability to achieve job requirements, where a work target can be completed in a timely manner or does not exceed the time limit provided so that the goal will be in accordance with company morals and ethics. This study aims to determine the correlation of technological progress on employee performance. In this study using RapidMiner as a test of 230 data on employees of PLN Binjai City. By using the Apriori algorithm method with a minimum support value of 10% and confidence of 50%, 44 association rules are obtained in the entire set and there are 2 rules in 4 itemsets. From the test results, the best rule with the highest value is obtained, namely if the data is T7, A3, F7 then SB, which means if using Ms.Word and Ms.Excel and Ms.PPT, using FSO Mobile and PLN Mobile, using Computers and Printers and Fax Machines then employee performance is Very Good with a support value of 30% and a confidence value of 96%.
Implementation of Finite State Machine Models on the Artificial Intelligence System of Characters in The Game "MMORPG" using RPG Maker Tengku Syahdina Riyan; Pardede, A M H; Manik, Fuzy Yustika
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.311

Abstract

Technological developments are the main drivers of global social, economic, and cultural change, including in the rapidly growing gaming industry. The Role-Playing Game (RPG) genre, in which players portray characters in the game's story, is gaining popularity. The application of FSM Models and AI technology in character development and RPG game interaction not only resulted in exciting entertainment, but also inspired similar uses in various fields. With AI, characters interact dynamically with players and environments, and FSM Models govern complex character behavior, the game experience is even more immersive. RPG Maker, one of the popular engines, simplifies the process of creating RPG games with an easy user interface. The implementation of the FSM Model is done through events and switches, directing storylines and character situations with structured logic. This study analyzes the application of FSM Model in MMORPG RPG games. Through the design, testing, and analysis stages, FSM proved effective in creating games that combine entertainment with learning. This game invites players to look for requirements and challenges to proceed to the next level. The result is an MMORPG game played on a PC with a Windows operating system, providing an educational and entertaining gaming experience.
Forecasting System For Increasing Crime At The Binjai City Police Station With The Application Of The Website-Based Exponential Smoothing Method Lestari Riawan, Putri; Pardede, A M H
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.315

Abstract

Binjai City is the closest city to the city of Medan, which is the heart of North Sumatra. As one of the closest cities to the city gate of Medan, there are many activities that require a lot of activities. In Binjai City there is a Binjai City Police Office which is located Jl. Sultan Hasanuddin No.1, Binjai City, North Sumatra. Based on crime data at the Binjai City Police Station, it shows that crime that occurs every day is constantly increasing. This is because several factors influence it, namely internal factors within oneself such as having a realistic mindset and so on while external factors such as economic level factors or low education levels that have an impact on the difficulty of finding jobs, uneven population density, very minimal salaries, urgent needs, supportive environmental situations, social inequality trigger envy and resentment, environmental associations that require costs and so on. When people are faced with such a situation, the thing that will come to their mind is how to get money to meet the needs of their families at all costs. So that it affects one's mentality and actions to commit criminal acts.Exponential smoothing method is a procedure that continuously improves forecasting with the average (smoothing = smoothing) past values of a time sequence data with. The Exponential smoothing method is a development of the Moving Averages method.
Sistem Pakar Diagnosa Penyakit Autoimun Menggunakan Metode Dempster Shafer M. Rizki Auliansyah Ginting; Akim M.H. Pardede; Melda Pita Uli Sitompul
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): November: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.222

Abstract

Autoimmune diseases, which are disorders where the immune system attacks the body’s own tissues, can affect anyone, including children and adults. These diseases often lead to serious tissue damage and physiological disturbances. Al Fuadi Binjai General Hospital, the primary healthcare facility in Binjai City, faces challenges in diagnosing autoimmune diseases in a timely manner due to limitations in time, cost, and distance. Delays in treatment can exacerbate patient conditions and slow recovery processes. The objective of this study is to develop a system that processes symptom and autoimmune disease data using the Dempster-Shafer method, which allows for uncertainty assessment in decision-making. Patient symptom data collected and analyzed using this method aims to determine the likelihood of autoimmune diseases. The developed system demonstrated high diagnostic accuracy, with the most accurate results for lupus with a confidence level of 94.40%. This result indicates that the Dempster-Shafer method can be an effective tool in accelerating the diagnostic process and improving the accuracy of autoimmune disease management at Al Fuadi Binjai General Hospital
Pengelompokan Penyakit pada Pasien Berdasarkan Usia dengan Metode K-Means Clustering Maida Andriani; Akim Manaor Hara Pardede; Magdalena Simanjuntak
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): November: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.246

Abstract

This research aims to cluster disease data based on patient age using the K-Means method at RSUD Dr. RM. Djoelham. In this case study, the clustering method with the K-Means algorithm is used to group patients based on patient age, address and type of disease. With this method, information can be obtained regarding patient grouping patterns based on age at Dr. RM. Djoelham, who helps identify the closest relationships between patient groups and provides insight into the distribution of disease across age groups, regions and types of disease suffered.This research was conducted at RSUD Dr. RM. Djoelham by loading data from patients treated at the hospital. The data used is 1,100 patient data from 2022-2024 which has been recorded by the hospital. This patient data will be analyzed using 3 variables in the research, namely Patient Age (C1), Address (C2), and Type of Disease (C3). With the results, cluster 1 contains 320 data, cluster 2 contains 326 data, and cluster 3 contains 454 data.
Jaringan Syaraf Tiruan Memprediksi Penyakit Gerd menggunakan Metode Backpropagation : Studi Kasus : RSU. Bidadari Kota Binjai Diaz Kuncoro; Akim M.H. Pardede; Siswan Syahputra
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): November: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.251

Abstract

The rapid development of technology in the globalization era has significantly impacted various aspects of life, including the healthcare sector. RSU Bidadari Binjai, as a healthcare provider, faces challenges in diagnosing and preventing Gastroesophageal Reflux Disease (GERD), a condition with high prevalence and serious complications such as Barrett’s esophagus and esophageal cancer. Therefore, a predictive system capable of early detection is needed to ensure quicker and more effective medical intervention. This research develops a computer-based predictive system using the backpropagation method in artificial neural networks to assist in diagnosing GERD by processing patient symptom data. The system's test results show an accuracy rate of 100% in predicting GERD complications based on the given symptoms, thus supporting more timely and accurate medical interventions.
PELATIHAN JARINGAN UNTUK MENINGKATKAN JIWA KEWIRAUSAHAAN SISWA SMK (IbM) Pardede, Akim Manaor Hara; Novriyenni
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i2.578

Abstract

Jurusan bidang informatika mencakup Teknik Komputer Jaringan, Audio Visual, Design Grafis, Teknik Informatika, dll terus meningkat baik tingkat sekolah menengah maupun tingkat perguruan tinggi. Jumlah pengangguran terbesar pada kabupaten Langkat saat ini adalah tamatan SMA/SMK/SMA, hal ini terkait dengan semakin tinggiya tingkat pendidikan masyarakat, yang umumnya telah tamat SLTA melanjut ke perguruan tinggi. Banyaknya peminat jurusan bidang informatika mengakibatkan kuatnya persaingan para lulusan untuk mendapatkan pekerjaan, sehingga perlu ada upaya penanggulangan untuk meningkatkan skill siswa-siswi dan lulusan jurusan bidang informatika agar tidak semata-mata ingin mencari perkerjaan tetapi mampu membuka lapangan kerja. STMIK Kaputama merupakan perguruan tinggi pertama dalam bidang informatika di Kota Binjai. Kaputama merupakan singkatan dari Karya Putra Utama, sesuai dengan tugas utamanya melaksanakan tridharma perguruan tinggi maka dosen STMIK Kaputama terus melakukan kegiatan pengajaran, penelitian dan pengabdian masyarakat, melihat kuatnya persaingan lulusan dan kebutuhan masyarakat Kabupaten Langkat dan sekitarnya, dosen STMIK Kaputama merasa terpanggil untuk melaksanakan pengabdian masyarakat untuk meningkatkan skill siswa SMK Swasta Esa Prakarsa dan SMK Harapan Bangsa Kuala dalam bentuk pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet untuk membangun jaringan warnet, perkantoran dan internet desa dalam meningkatkan kemandirian siswa. Dengan adanya pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet, diharapkan siswa-siswi SMK Swasta Esa Prakarsa dan SMK Swasta Harapan Bangsa Kuala dapat lebih meningkatkan skill dan jiwa wirausahaan sehingga mereka mampu berwirausaha sekaligus membuka lapangan kerja secara khusus untuk dapat menerima perbaikan komputer dan membangun jaringan warnet, jaringan internet perkantoran dan jaringan internet masuk desa. Selain adanya jiwa wirausaha, masyarakat juga terbantu khususnya pedesaan agar percepatan informasi dan komunikasi dapat lebih meningkat.
ANALISIS HYBRID CRYPTOSYSTEM ALGORITMA ALGORITMA RSA DAN TRIPLE DES Fauzi, Achmad; Novriyenni; Maulita, Yani; Pardede, A M H
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i2.585

Abstract

Keamanan data sangat dibutuhkan dalam hal berkomunikasi. Untuk menjamin keamananan data dibutuhkan teknik untuk menyadikan data dan informasi yang disebut dengan Kritografi. Penelitian ini bertujuan untuk mengalisis proses Hybrid Didalam Kritografi simetris dan Asimetris yang mengunakan Algoritma RSA dan Algoritma Triple DES. Hal ini dapat meningkatkan keamanan data sehingga data menjadi lebih terjaga kerahasiaannya. Metode yang digunakan Algoritma RSA (Riverst – Shamir- Adleman) ini merupakan algoritma asimetris menggunakan sistem bilangan prima secara Acak dalam proses keamanannya dan Algoritma Triple DES yang disebut jugan dengan algoritma simetris adalah metode OFB (Output feeback), dan sehingga ketika kedua algoritma ini digabungkan dalam proses Hybrid maka keamanan datanya semakin akurat. Analisis Hybrid Kriptosistem algoritma RSA dan algoritma Triple DES menunjukan bahwa data yang dibuat secara text akan dienkripsi menjadi chipertext dengan menggunakan kedua metode tersebut dan di deskripsikan kembali. Sehingga keamanan data nya relative aman.
JARINGAN SYARAF TIRUAN PREDIKSI JUMLAH PENGIRIMAN BARANG MENGGUNAKAN METODE BACKPROPAGATION ( STUDIKASUS: KANTOR POS BINJAI ) Rahmadani, Feri; Pardede, Akim M.H.; Nurhayati, Nurhayati
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.591

Abstract

Artificial neural networks are a branch of AI (Artificial Intelligence). Artificial neural network is an information processing paradigm which is inspired by the human brain system in receiving information and solving problems by carrying out the learning process through changes in the weight of its synapses. Pos Indonesia is an Indonesian state-owned company engaged in postal services. Currently, the form of Pos Indonesia business entity is a Limited Liability Company and is often referred to as PT. Indonesian post. This research was conducted to obtain a time benchmark when the delivery process occurs so that it can be used as a reference in shipping management control. The number of shipments of goods can be predicted by one method for prediction, namely the Backpropagation method. The Backpropagation method is a learning algorithm to reduce the error rate by adjusting the weight based on the difference in output and the desired target. This study uses unemployment data from the previous 3 years as training test data and training target data. After conducting the discussion, it produces an error value of 0.020043915 in iteration I. The results cannot be used because the error rate has not reached the target, which is 0.01.
Co-Authors ., Novriyenni ., Novriyenni Abdillah, Afif Abdullah Rayni Achmad Fauzi Ade Dharma Agung Prayogi Agus Muji Santoso Agus Syahrani Agus Syahrani Ahmad Zamsuri, Ahmad Al Haby Pratama Subakti al Haby Pratama Subakti Alia Bihrajihant Raya Alia Bihrajihant Raya Alkhairi, Putrama Alya Fadillah Amanda Putri Ardana Ambarita, Indah Amin Hou Anang Wahid M.Diah ANDIKA Andika Andika Andini, Anggun Anggi Pratiwi, Anggi Anggraeni Dyah S Anggraeni Dyah Sulistiowati Anggun Anggraini Anggun Angraini Anita Shintya Devi Apriandi Alfa Reza Saragih Arifin Dwi Saputro Aris Wahyono, Aris Wahyono Artika Dini Anggriani Asrofi Liza Nasution Astrika, Rahayu Aula, Nurhasanah Azmy, Maulida Bachtiar, Willy Bagus Aziz Bagus Azizi Bayu Juliansyah Boyke Gunawan Manurung Br Bangun, Cindy Arsita Buaton, Relita Budi Purnomo Siahaan Budi Saragi Ginting budi saragih budi saragih Budi Serasi Ginting Budi Serasi Ginting Christian Adi Pratama Saragih Debby Ade prastiwi Deby Siska Oktavia Pasaribu Destiara, Destiara Desty Dwi Putri Diana Lestari Simamora Diaz Kuncoro Dina Filina Eddu Dwi Rizki Eddu Dwi Rizki Efendi, Sutris Eka Rahamadi Susilo Elni Arbaeti, Endang Evi Rinata Fahmi Aulia Sirait Fahri Husaini Farid Reza Malau Fatmaira, Zira Fauzi, Achmad Fazar Syahfitra Ferry Rahmadani fika lestika Fika Lestika Br. Tarigan Filina, Dina Finda Meyditia Finda Meyditia Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Ginting, Budi Saragi Gultom, Imeldawaty H Khair Hamdani, Diky Hamdani, Diky Harahap, Khairunnisa Hari Sabana Hasanul Khair Hasdari Helmi Hasdari Helmi Hendy Setiawan Hendy Setiawan Herdianta Herdianta Herlina, Lien Hermansyah Sembiring Hotler Manurung Husnul Kahir I G Prahmana I Gusti Prahmana I Gusti Prahmana igusti prahmana Iis Joice Susanti Marpaung Ilham Ilham Indah Haziziyah Indakholasy, Barru Indriana, Nurita Jen Peng Huang John Darwis Martuadi Saragih John Darwis Martuadi Saragih Jonathan Setiadi Pasaribu Juni Ismail Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Katen Lumbanbatu Khadafi, Muhamad Khadapi, Muammar Khair , Husnul Khair, Husnul Khairunnisa Harahap Lestari Riawan, Putri Lita, Catlya Novera Lumbanbatu, Katen M Fakhrul Hirzi M Ilham Nst M. Rizki Auliansyah Ginting M. Taufik Magdalena Simanjuntak Maida Andriani MANURUNG, HOTLER Marto Sihombing Marto Sihombing Marto Sihombing Marto Sihombing Maulida Azmy maulida azmy Melda Pita Uli Sitompul MHD Micho Januar Prananta Mili Alfhi Syari Mili Alfhi Syari Syari Muhammad Arie Afryanda Muhammad Arie Afryanda Muhammad Taufik Nanang Wahyudin Nanang Wahyudin Naufal Falaah Nduru Nidya Banuari Nila Damayanti Ningsih, Nur Ema Tiana Nisa R, Ajeng Arina Novriyenni Novriyenni - Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Ema Tiana Ningsih nurema tiana ningsih Nurhayati Nurhayati Nurhayati Nuroini, Indi PASARIBU, TIO RIA Pasaribu, Tioria Paul Saut Marganda L Tobing Permana Putra Permana Putra Pitaloka, Nadila Prahmana, I Gusti Prastya, Reno Preddy Marpaung Rafael R.F. Sijabat Rahmad Syahputra Rahmadani Rahmadani, Feri Ramadani, Suci Ramadhani Rangkuti, Nazwa Nurul Hafizah Refirda Agtalia Rendi Eka Pratama Rendi Eka Pratama Resti Afrelia Sibuea Richa Orellia Rika Hedy Anggraini Prastio Riki Winanjaya rima siburian Riski Ramadhansyah Risky Firmansyah Manik Ronny Lesmana Rusmin Saragih, Rusmin Saragih, Christian Adi Pratama Saragih, John Darwis Martuadi Sari, Indah Kelana Sawitri Sawitri Selfira Selfira Sembiring, Hermansyah Sihombing, Anton Sihombing, Marto Sijabat, Maruba Simanjorang, Armadani Simanjuntak, Magdalena Simanjuntak, Magdalena Simanjuntak, Ruth Rani Siswan Syahputra Sitepu, Cindy Yohana Siti Alyunita Mega Lestari Siti Mutoharoh Permata Ayunda Subakti, Al Haby Pratama Suhada Suhada Suhada Suhada Suhada Suhada Suhada Suhada, Suhada Surja Arafat Surtan Hasibuan Surya Siswoyo Surya Siswoyo Sutris Efendi Syahputra , Siswan Syahputra, Siswan Syari, Mili Alfhi Syari Syari, Milli Alfhi Tanjung, Anggi Muhammad Tarigan, Fika Lestika Br. Tengku Syahdina Riyan Thalia, Novi Tio Ria Pasaribu Tria Pusvita Dewi Triana Dewi lestari Wahyu Surya Nanda Wardani, Sisca Willy Bachtiar Wisnu Satriyo Jati Wisnu Satriyo Jati Yani Maulita Yanuar Dwi Prastyo Yehezkiel Wibisono Sagala Yourman Doni Siddik Yuda Washita