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All Journal INTECOMS: Journal of Information Technology and Computer Science Journal of Computer Networks, Architecture and High Performance Computing Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Bangkit Indonesia RISTEC : Research in Information Systems and Technology Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika

Irsan Jaelani

Sekolah Tinggi Teknologi Wastukancana

Author-ID : 3711885

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education

Published : 13 Documents Claim Missing Document

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Algoritma J48 Dan Logistic Model Tree Untuk Memprediksi Predikat Kelulusan Mahasiswa: Studi Kasus STT XYZ Meriska Defriani; Irsan Jaelani
INTECOMS: Journal of Information Technology and Computer Science Vol 3 No 2 (2020): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v3i2.1478

Salah satu hal yang dinilai dalam proses akreditasi adalah rata-rata Indeks Prestasi Komulatif (IPK) lulusan dalam tiga tahun terakhir. Sekolah Tinggi Teknologi (STT) XYZ telah terakreditasi BAN-PT namun nilai akreditasi yang didapatkan belum maksimal. Salah satu hal yang mempengaruhi adalah rata-rata IPK lulusan yang masih rendah. Oleh karena itu, dilakukan analisis data mining dengan model klasifikasi pada data akademik dan non akademik mahasiswa. Algoritma klasifikasi yang digunakan adalah J48 dan Logistic Model Tree (LMT). Tujuan dari penelitian ini adalah untuk membandingkan algoritma J48 dan LMT dalam memprediksi IPK akhir mahasiswa melalui predikat kelulusan dan mengetahui faktor apa saja yang mempengaruhi IPK akhir mahasiswa. Data yang digunakan adalah data mahasiswa jenjang sarjana yang telah dinyatakan lulus pada yusidium tahun 2015 sampai 2019 sejumlah 1050 data. Hasil penelitian ini adalah algoritma algoritma J48 menghasilkan akurasi sebesar 75,5%, sedangkan algoritma LMT menghasilkan akurasi sebesar 73,5%. Pada kedua algoritma, atribut yang berpengaruh pada predikat kelulusan mahasiswa adalah IPS semester 2, IPS semester 1, dan IPS semester 4. Algoritma J48 mampu mengklasifikasikan predikat kelulusan mahasiswa dengan lebih baik dan melakukan proses klasifikasi dengan lebih sederhana juga membutuhkan waktu yang lebih singkat. Kata Kunci:predikat kelulusan, klasifikasi, J48, LMT

Development Of E-Research Information System To Support Research Management (Case Study of Wastukancana University) Bayu Prasetio; Irsan Jaelani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1148

E-research management is an implementation mechanism of information and communication technologies on the research management so that the research runs effectively and efficiently. E-research STT Wastukancana is an information system for submission of a thesis title and undergraduate internship but there are still many incomplete features, so it needs system development so the system can run well. Therefore author does the development system of e-research STT Wastukancana Web-Based so that admin, students, and lecturers can carry out business processes well on online system mode. The result of this research is an information system that can help out and ease users in doing business processes and information around e-research STT Wastukancana

Recognition of Regional Traditional House in Indonesia Using Convolutional Neural Network (CNN) Method Meriska Defriani; Irsan Jaelani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1562

Indonesia is a country that has a lot of cultural diversity. This cultural diversity needs to be preserved. If this is not done, the culture that is owned by Indonesia can slowly disappear. The reduction in cultural values can also reduce the sense of belonging to the culture. This lack of sense of ownership makes it easy for other nations to make claims on the culture that is owned by Indonesia. Indonesia will lose its characteristics as a country that has a lot of cultural diversity. One of the efforts to preserve culture is to recognize the characteristics of each culture and be able to recognize the differences between one culture and another. For example, recognizing traditional houses from various ethnic groups based on their image. In this research, the image classification of the characteristics of traditional houses from several ethnic groups in Indonesia was carried out. The classification used to identify an image. In this study, deep learning techniques are used with the Convolutional Neural Network (CNN) algorithm and Keras framework. This CNN use several layers namely convolutional, pooling, flatten, and dense layer. The development of deep learning models uses the Knowledge Discovery in Database (KDD) method. This method consists of nine stages. The built model is evaluated using k-fold cross validation with a k value of 5 and produces an average accuracy of 80%. This shows that the model built is capable of classifying well. The built model is evaluated with 3 different epoch values, namely 50, 75, and 100. The larger the epoch value used, the greater the accuracy value. The model built is also able to make predictions with an accuracy of 80%.

Komparasi Algoritma Support Vector Machine dengan Naive Bayes Untuk Analisis Sentimen Pada Aplikasi BRImo Anggi Puji Astuti; Syariful Alam; Irsan Jaelani
Jurnal Bangkit Indonesia Vol 11 No 2 (2022): Bulan Oktober 2022
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Banking is an industry that is currently developing in the use of information technology by increasing service quality standards in order to compete in the market in an increasingly tight digital era. At this time, BRI bank is attracting public attention to the quality of renewal by launching a mobile banking application, therefore an analysis of reviews of BRImo mobile banking users is carried out to serve as an object of research by comparing text mining classification methods. This study aims to determine the results of the comparison of the Support vector machine and Naive Bayes algorithms. Support vector machine and Naive Bayes algorithm are classification methods used to process data in the form of text with a good level of accuracy. This algorithm is usually used for text mining analysis with 4 stages, namely data scrapping, preprocessing, classification and evaluation. At the preprocessing stage, there are several processes including filtering, labeling, case folding, tokenization, stopword removal & stemming and normalization to get relevant words to be classified. The results of this study are the Support vector machine algorithm has a better performance in classifying the BRImo mobile banking application review data with an accuracy value of 97,69% compared to the Naive Baye algorithm with an accuracy value of 96,53%.

Design and Build a Student Activity Proposal Application Using Web-Based Digital Signature With Extreme Programming Method At Wastukancana College Of Technology Purwakarta Ambara Krianajaya; Irsan Jaelani; Mutiara Andayani Komara
RISTEC : Research in Information Systems and Technology Vol 2, No 2 (2021): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

With the existence of computers and applications, it is hoped that it can help humans or users in processing and presenting accurate and fast information so as to obtain effectiveness and efficiency, both in terms of time and cost. However, this still really requires a security system in the delivery of a document or information so that it cannot be used by other unauthorized parties who can harm the owner of the document or information both materially and immaterially. Digital signature is an electronic signature that can be used to prove the authenticity of the identity of the sender of a message or the signer of a document, and to ensure that the contents of the message or document are sent without changes.(Junadhi, 2019).The application development model used is the Extreme Programming model with the stages of planning, design, coding, and testing, using the Unified Modeling Language (UML) design, namely Usecase Diagrams, Activity Diagrams, Sequence Diagrams, and Class Diagrams. The builder software used is XAMPP and uses the Codeigniter framework and the PHP programming language with a MySQL database, and uses Black Box Testing as its testing. The conclusion that can be drawn from the results of making application for student activity proposals using web-based digital signatures with this extreme programming method is that the proposal tracking feature can make it easier for the Student Association to see if the proposals have been submitted and digital signatures using qr-code can make it easier student associations to directly print signature documents without coming directly to several parties, can make it easier for the Head of Study Programs, Student Executive Board, Head of Student Affairs and Head of STT to approve or approve proposal documents through applications at any time, and make it easier for the Head of Field Staff Students to monitor the delivery of proposal documents from the Student Association. So this application is still in the tri dharma of college.

Sentiment Analysis of Police Performance On Twitter Users Using Naïve Bayes Method Muhammad Hidayatullah; Syariful Alam; Irsan Jaelani
RISTEC : Research in Information Systems and Technology Vol 2, No 2 (2021): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

After the case of alleged child rape in East Luwu which was stopped went viral in the aftermath of many other cases of sexual violence that were considered by the police to be inconsistent with procedures. After the hashtag #PercumaLaorPolisi appeared #PolriSesuaiProsedur hashtag became a trending topic on Twitter. This study discusses the sentiment of police performance on twitter users, aiming to measure how much sentiment the performance of the police according to twitter citizens who earned. The topic of this study is a mining text that uses the naïve bayes method. Text mining is a computer-based algorithmic technique/approach to gaining new knowledge hidden from a set of texts. The data from crwalling on twitter were analyzed using naive bayes which is a method for analyzing. Naive Bayes' algorithm is very effective in classification or classification problems. This algorithm works based on existing probabilities to determine the probability of the future. The steps in the Naïve Bayes method are preprocessing which includes transformation, tokenization and filtering processes. It is followed by the weighting of words such as TF-IDF and ends with classification and evaluation. As a result of this study, according to tweet data processed using the orange application and confusion matrix calculations, the police performance sentiment entered the neutral classification of 75.8%, negative 58.1% and positive 39.5% in the last order, as well as the resulting model at an accuracy value of 0.929, precision 0.933, recall 0.923, and f-measure 0.954

Web-Based Scholarship Management Information System Using Rapid Application Development (RAD) Model Muhammad Rizki Hidayat; Irsan Jaelani; Mutiara Andayani Komara
RISTEC : Research in Information Systems and Technology Vol 2, No 2 (2021): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

The use of information systems in an organization has many advantages, just like the use of a website for institutions or companies is very helpful in conveying information, one of which is in administrative matters that can be applied using information system technology, namely for scholarship management. Scholarships can be interpreted as providing financial assistance to individuals, with the aim of being used for the continuity of the education taken. In the process of submission and approval in the selection of scholarship admissions that run in the field of student affairs at this time, it is still carried out manually both from the process of collecting files, selection to determining scholarship recipients is carried out manually by the head of the study program. Therefore, the field of Student Affairs at STT Wastukancana Purwakarta, requires an information system that can help the process of applying for and approving scholarships digitally carried out by students of each study program coordinated by the student affairs field. The system development method used is the Rapid Application Development (RAD) model consisting of the Requirements Planning, RAD Workshop Design, and Implementation stages. The results of this study produce a scholarship management information system that can solve problems in the scholarship admission selection process by being able to do it digitally from the process of informing the existence of scholarship opportunities, submission, selection to determining scholarship recipients.

Mobile Based Parking Application Using Extreme Programming (Xp) Method Mochammad Alfar Budistia; Meriska Defriani; Irsan Jaelani
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3158

Vehicle care is one of the businesses that is quite profitable with quite large capital. However, with this capital it becomes a fairly large and long-term income, and from this capital every year the price of this capital will definitely increase because of the area of the land. However, in business, there is a problem that often occurs in each of these safekeeping, namely realtime accounting and data in photos and numbers. Then this research aims to make it civil in managing the daycare. The model and method used uses Extreme Programming (XP) development and, why did I take mobile programming because in this case study it is better for device users who are indeed flexible.The feasibility of this system is seen from the point of view of its functionality and according to the user from what is needed according to the case study. The programming language used is Java, and testing is to display the success of system functionality using a black box, then for modeling using the unified model language (UML) for flow using this system, the database used is firebase.The purpose of this research is to get a solution to the problems that exist in the place, namely in data collection and reporting to the owner by providing input within certain hours and then conveying it to the owner, with this application providing solutions to problems that occur at this research location.

Android Based Tani Rahayu Application Uses Extreme Programming (Xp) Method Bagus Aidi; Meriska Defriani; Irsan Jaelani
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3155

Abstract: As many smartphone users with the Android operating system in this digital era applications become one of the tools that can help users in various ways, one of which is to buy necessities, this can be used in companies that usually sell their products in stores that often need effort for consumers to get products. CV. Cipta Rahayu is a company engaged in the sale of agricultural materials, the manual sales process often causes problems such as in processing transaction data, and it takes a long time to make reports, and at least customers because customers have to come directly to the location to order goods, after that it is processed and delivered to the customer's location, this will be difficult for customers whose position is far from the CV location, Often customers also choose to buy goods in the nearest place at a much more expensive price. Therefore, the company needs a mobile application sales system with the name Tani Rahayu application that can facilitate the sales process. The purpose of this research is to design and build an Android-Based Rahayu Farmer Application Using the Extreme Programming (XP) Method. The result of this study is the creation of the Android-based Tani Rahayu application, which will make it easier for customers to order goods without having to go to stores that take distance and time, then solve problems with shop owners or CVs in the process of customer orders and bookkeeping, then overcome customers switching to purchasing agricultural materials at other stores due to the remote location of the store, and attract many more other customers.

PENGEMBANGAN APLIKASI PENGELOLAAN PESANAN KONSUMEN BERBASIS WEB DENGAN PENDEKATAN FIRST IN FIRST OUT (FIFO) MENGGUNAKAN METODE AGILE Aprillia Muharam; Irsan Jaelani; Meriska Defriani
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 3 (2023): EDISI 17
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i3.3180

Proses pengelolaan pesanan konsumen di CV. Dwiputra Ihwa dengan salah satu merk Kaosdisablon telah mengimplementasikan aplikasi berbasis web yaitu fitur antrean pesanan konsumen, namun pada saat aplikasi berjalan pihak administrasi kesulitan tidak dapat mengetahui berapa persediaan yang masih tersedia dan catatan transaksi pembelian barang ke vendor dan catatan transaksi penjualan setiap pemesanan. Dijalankan menggunakan Microsoft Excel yang tidak terkait dengan aplikasi yang berjalan sebelumnya sehingga bagian administrasi bekerja di dua aplikasi berbeda. Dalam pembuatan sistem ini penulis menggunakan pendekatan First In First Out (FIFO) dengan model pengembang yaitu model Agile, dan perancangan yaitu Unified Modelling Language (UML), untuk software yang digunakan untuk membangun fitur-fitur pengembangan aplikasi pengelolaan pesanan konsumen menggunakan framework CodeIgniter menggunakan bahasa pemrograman PHP dan database menggunakan MySQL. Hasil dari pembuatan pengembangan pengelolaan pesanan konsumen berupa fitur transaksi, fitur produk yang didalamnya terdapat beberapa fitur yaitu fitur inventory, pembelian barang dan rekap stok yang dapat dilakukan oleh user yaitu admin dan terdapat master data dan semua fitur telah diuji fungsionalitasnya menggunakan Black Box testing dan dapat berjalan dengan baik dan dihosting melalui commerce mediahoster

Co-Authors Ambara Krianajaya Anggi Puji Astuti Aprillia Muharam Bagus Aidi Bayu Prasetio Dede Irmayanti Diki Jonatan Meriska Defriani Meriska Defriani Minarto Minarto Mochammad Alfar Budistia Muhammad Hidayatullah Muhammad Rizki Hidayat Mutiara Andayani Komara Mutiara Nurdarmayani Salsabila Salsabila Syariful Alam

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