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All Journal Dinamik Semantik Techno.Com: Jurnal Teknologi Informasi JAIS (Journal of Applied Intelligent System) ANDHARUPA CESS (Journal of Computer Engineering, System and Science) Journal of Information System Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Advance Sustainable Science, Engineering and Technology (ASSET) Community: Jurnal Pengabdian Pada Masyarakat Jurnal Rekayasa elektrika Prosiding SeNTIK STI&K Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
Junta Zeniarja
Departemen Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro, Indonesia
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Journal : JAIS (Journal of Applied Intelligent System)

 1 
Naive Bayes Classifier Based Geographic Information System for University Search Information Junta Zeniarja; Ardytha Luthfiarta; Catur Supriyanto
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v2i2.1587

Abstract

Information about the geographical location of universities is necessary for graduates of Senior High School who want to continue their education to a university. Most of the graduate students do not know the location of the universities since the geographical location of Google Maps is less clear and less precise. Therefore, the application of Geographic Information Systems (GIS) based on Information Retrieval (IR) is expected to facilitate the graduate students to know the exact location of the university. In this paper, IR-based GIS application is developed by using web programming. The web is used as a search engine when someone wants to find a college. The application shows the map and information of the college in the area according to the query of the user. Naive Bayes algorithm is used to classify the user query and locate the query on the map. Based on our prototype, the application is promising to be implemented for the student.
Penerapan Algoritma K-Nearest Neighbor pada Information Retrieval dalam Penentuan Topik Referensi Tugas Akhir Ramadhan Rakhmat Sani; Junta Zeniarja; Ardytha Luthfiarta
Journal of Applied Intelligent System Vol 1, No 2 (2016): Juni 2016
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v1i2.1189

Abstract

Perpustakan sebagai bagian penting universitas,   berperan sebagai sumber pustaka dan referensi laporan Tugas Akhir(TA). Semua koleksi tersebut ditempatkan dalam ruangan tertentu sesuai dengan kategorinya dan data tersebut sudah terkomputerisasi dengan baik di dalam server database. Permasalahan penelitian adalah  pencarian dan pengidentifikasian laporan Tugas  Akhir  berdasarkan  topik  yang  diangkat. Tujuan penelitian ini mendapatkan akurasi klasifikasi yang baik menggunakan algoritma K-Nearest Neighbor (KNN) dan menerapkannya kedalam sebuah program. Sehingga klasifikasi topik TA dapat menjadi solusi untuk menyelesaikan permasalahan tersebut. Kata kunci — Information Retrieval, K-Nearest Neighbor, Text Mining, Klasifikasi
Prediction on Deposit Subscription of Customer based on Bank Telemarketing using Decision Tree with Entropy Comparison Ardytha Luthfiarta; Junta Zeniarja; Edi Faisal; Wibowo Wicaksono
Journal of Applied Intelligent System Vol 4, No 2 (2019): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v4i2.2772

Abstract

Banking system collect enormous amounts of data every day. This data can be in the form of customer information,  transaction  details,  risk profiles,   credit   card   details,   limits   and   collateral    details, compliance  Anti Money Laundering (AML) related information, trade  finance  data,  SWIFT  and  telex  messages. In addition,  Thousands  of decision  are  made in Banking system. For example, banks everyday creates credit decisions,  relationship  start  up,  investment   decisions, AML  and  Illegal  financing  related decision.  To create this decision, comprehensive review on various  reports  and drills  down  tools  provided  by the banking systems is needed.  However, this is a manual process which  is  error  prone  and  time  consuming  due  to  large volume of transactional  and historical  data available. Hence, automatic knowledge mining is needed to ease the decision making process.  This research focuses on data mining techniques to handle the mentioned problem. The technique will focus on classification method using Decision Tree algorithms.  This research provides an overview of the data mining techniques and   procedures will be performed.   It also provides   an insight   into how these techniques can be used in deposit subscription  in banking system to make a decision making process easier and more productive. Keywords - Telemarketing, bank deposit, decision tree, classification, data mining, entropy.
Data Mining Applications for Violence Pattern Analysis with FP-Growth Algorithm Junta Zeniarja; Debrina Luna Arghata Mangkawa; Abu Salam
Journal of Applied Intelligent System Vol 6, No 1 (2021): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v6i1.4444

Abstract

Violence is a crime that is one of the problems the principal experienced by each country. Violence can be interpreted as a behavior that causes harm to someone. According to the results of DP3AKB research in Central Java Province in 2017, there are less many than 200 people in Central Java province experienced acts of violence. By because of the many acts of violence that occur in various forms of violence, it requires definite information about the form of violence that happens most often, in obtaining that information Data mining techniques are needed by using the FP-Growth algorithm. The application of the FP-Growth algorithm to produce form association patterns violence. Hardness data is 420 data, the best 7 rules have been obtained with min value support 50% and min value support 60%. On the best rule results have given a recommendation (solution) so that the DP3AKB can handle the problem of violence well and on target.
Diagnosis Of Heart Disease Using K-Nearest Neighbor Method Based On Forward Selection Junta Zeniarja; Anisatawalanita Ukhifahdhina; Abu Salam
Journal of Applied Intelligent System Vol 4, No 2 (2019): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v4i2.2749

Abstract

Heart is one of the essential organs that assume a significant part in the human body. However, heart can also cause diseases that affect the death. World Health Organization (WHO) data from 2012 showed that all deaths from cardiovascular disease (vascular) 7.4 million (42.3%) were caused by heart disease. Increased cases of heart disease require a step as an early prevention and prevention efforts by making early diagnosis of heart disease. In this research will be done early diagnosis of heart disease by using data mining process in the form of classification. The algorithm used is K-Nearest Neighbor algorithm with Forward Selection method. The K-Nearest Neighbor algorithm is used for classification in order to obtain a decision result from the diagnosis of heart disease, while the forward selection is used as a feature selection whose purpose is to increase the accuracy value. Forward selection works by removing some attributes that are irrelevant to the classification process. In this research the result of accuracy of heart disease diagnosis with K-Nearest Neighbor algorithm is 73,44%, while result of K-Nearest Neighbor algorithm accuracy with feature selection method 78,66%. It is clear that the incorporation of the K-Nearest Neighbor algorithm with the forward selection method has improved the accuracy result. Keywords - K-Nearest Neighbor, Classification, Heart Disease, Forward Selection, Data Mining
Malware Detection Using Decision Tree Algorithm Based on Memory Features Engineering Adhitya Nugraha; Junta Zeniarja
Journal of Applied Intelligent System Vol 7, No 3 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i3.6735

Abstract

Malware is malicious software that can harm, manipulate, steal from victim's device system. Due to the diverse needs of using internet services, security threats are also increasingly difficult to detect. now attackers are starting to develop malware that can change their own signature which is referred to as polymorphism. Therefore, improvements in the traditional approach to detecting the presence of malware are needed to be improved. One of the malware detection approaches, memory-based analysis technique has proven to be a powerful and effective analytical technique in studying malware behavior. In this study, the implementation of a Decision Tree-based classification algorithm was carried out to analyze the data set. Classifier model was created for the purpose of classifying malware based on memory features engineering. The result shows that the Decision Tree machine learning algorithm has been well performed with accuracy to 99.982 %, a false positive rate equal to 0.1% and precision equal to 99.977%
Co-Authors Abu Salam Abu Salam Adhitya Nugraha Adhitya Nugraha Adi Wibowo Afridiansyah, Rahmanda Agus Winarno Agus Winarno, Agus Ahmad Alaik Maulani Ailsa Nurina Cahyani Ainul Yaqin Alan Ma’ruf, Farda Alya Nurfaiza Azzahra Anisatawalanita Ukhifahdhina Anugrah, Muhammad Ikhsan Ardytha Luthfiarta Ardytha Luthfiarta Asih Rohmani Asih Rohmani Asih Rohmani Atika Rahmawati Bayu Aryanto Budi Warsito Cahyani, Ailsa Nurina Candra, Rejka Aditya Catur Supriyanto Catur Supriyanto Debrina Luna Arghata Mangkawa Deby Arida NiMatus Sa’adah Devi Ayu Rachmawati Dianti, Reza Nur Diyan Adiatma Dzaky, Azmi Abiyyu Edi Faisal Edi Sugiarto Edi Sugiarto Edi Sugiarto Egia Rosi Subhiyakto, Egia Rosi Erwin Yudi Hidayat Esmi Nur Fitri Esmi Nur Fitri Esmi Nur Fitri Fajarudin Zakariya Farda Alan Ma'ruf Farda Alan Ma’ruf Ferry Bintang Nugroho Fikri Budiman Fikri Budiman Firmansyah, Gustian Angga Ganiswari, Syuhra Putri Guruh Fajar Shidik Haresta, Alif Agsakli Harun Al Azies Ida Ayu Putu Sri Widnyani Ika Novita Dewi Jaya, Sava Irhab Atma Khoirunnisa, Emila Kiki Widia Kurniawan Ridwan Surohardjo Kurniawan, Defri L. Budi Handoko Luh Putu Ratna Sundari Lutfi Kharisma M Hafidz Ariansyah M. Hafidz Ariansyah Manurung, Ayub Michaelangelo Mas'ud, Ryan Ali Maulani, Ahmad Alaik Mufida Rahayu Muhammad Jamhari Muhammad Joyo Satrio Muljono Muljono Nabila, Qotrunnada Nitho Alif Ibadurrahman Novi Hendriyanto Nur Rokhman Octaviani, Dhita Aulia Paramita, Cinantya Pratama, Rifky Ariya Pulung Nurtantio Andono Putra, Vander Mulya Putri, Rusyda Tsaniya Eka Raden Arief Nugroho Rama Eka Saputra Ramadhan Rakhmat Sani Ramadhan, Ahnaf Irfan Ramadhan, Muhammad Eky Restu Agung Pamuji Rezaroebojo, Rizal Riyan Ardiansyah Rohman, Adib Annur Savicevic, Anamarija Jurcev Setiawan, Dicky Setiawan Sindhu Rakasiwi Sri Winarno Sri Winarno Sri Winarno Syabilla, Mutiara Utomo, Danang Wahyu Valentina Widya Suryaningtyas, Valentina Widya Wibowo Wicaksono Wibowo Wicaksono