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All Journal DE JURE SALAM: Jurnal Sosial dan Budaya Syar-i Format : Jurnal Imiah Teknik Informatika Jurnal Ilmiah Hukum LEGALITY JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI J-SAKTI (Jurnal Sains Komputer dan Informatika) RELIGIA Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) LEGAL BRIEF Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Indonesian Journal of Law and Society J-SAKTI (Jurnal Sains Komputer dan Informatika) Ius Poenale Academic Journal of Computer Science Research (AJCSR) JURIS (Jurnal Ilmiah Syariah) Innovative: Journal Of Social Science Research RISTEC : Research in Information Systems and Technology Religia : Jurnal Ilmu-Ilmu Keislaman
Syariful Alam
Fakultas Hukum Universitas Muhammadiyah Malang
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : RISTEC : Research in Information Systems and Technology

 1 
Decision Support System for Underprivileged Scholarship Recipients Using the Simple Additive Weighting (SAW) Method in XYZ University Raymond Ramadhan, Yudhi; Alam, Syariful; Iman Hermanto, Teguh; Agus Sunandar, Muhamad; Arialdi, Miftahul
RISTEC : Research in Information Systems and Technology Vol. 4 No. 2 (2023): RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

XYZ University as an educational institution that is responsible not only for academic quality, but also for equal access to higher education, has established various scholarship programs. However, a fair and transparent selection process for scholarship recipients is still a challenge. Unclear criteria, poorly defined weights, and an unstructured decision-making process can result in injustice for prospective students who should be eligible for financial aid. To overcome this problem, it is necessary to develop a Decision Support System (SPK) which can assist in the selection process for underprivileged scholarship recipients. The Simple Additive Weighting (SAW) method is a method that can be implemented because it is relatively easy to implement and can provide transparent and accountable results. Based on the calculation results, the student with the highest calculated score, namely 1,400, is a student who is recommended to be entitled to an educational scholarship.
Implementation of Waterfall Method to Build an Online Badminton Court Booking Application in Purwakarta Prasetio, Bayu; Alam, Syariful
RISTEC : Research in Information Systems and Technology Vol. 5 No. 1 (2024): JURNAL RISTEC : Research in Information Systems and Technology
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The Siti Sofiah Sports Hall (GOR) is one of the buildings that rents out facilities for badminton or badminton sports. The ordering or field booking process can be done via telephone, WhatsApp application, or by visiting the location directly. Before making an order, customers first ask about the available fields and sessions on the desired day. The large number of enthusiasts who place orders or field bookings and also recording orders manually often results in recording errors or in one session there is more than one customer ordering in the same field. Based on this, GOR Siti Sofiah needs a field booking application that can make it easier for consumers to see empty schedules and also make the booking process easier. In this research, a web-based application will be built by implementing one of the software development methods, namely Waterfall Method. By building this application, the field ordering process can be better organized and also make things easier for customers and court admins.
Sentiment Analysis of Police Performance On Twitter Users Using Naïve Bayes Method hidayatullah, Muhammad; Alam, Syariful; Jaelani, Irsan
RISTEC : Research in Information Systems and Technology Vol. 2 No. 2 (2021): JURNAL RISTEC : Research in Information Systems and Technology
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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 classificationand 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-measure0.954
Twitter User Sentiment Analysis Of TIX ID Applications Using Support Vector Machine Algorithm Nabillah, Asyfah; Alam, Syariful; Gito Resmi, Mochzen
RISTEC : Research in Information Systems and Technology Vol. 3 No. 1 (2022): JURNAL RISTEC : Research in Information Systems and Technology
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The cinema is a place to watch movies using the big screen. Various comments on the TIX ID application service can be used to reference the company's evaluation material in assessing the level of service quality that has been provided, so that later the TIX ID application can be used optimally by application users and the company, as for the purpose of this study to find out responses and find out the sentiment analysis stage on twitter social media using the vector machine support algorithm for the TIX ID application. This algorithm is commonly used for text mining by going through the data collection stage, cleaning and labelling data stage, training and testing data sharing stage with 3 comparison scenarios, namely 70:30, 80:20, and 90:10 using 3 kernels, namely dot, radial, and polynomial, then through the text preprocessing stage, the TF-IDF word weighting stage, the data modeling stage, and the evaluation stage. The preprocessing stage consists of transform case, tokenize, and stopwords filters. The result of this study is that the support vector machine algorithm has an accuracy value of 74.17%. The research concludes that the support vector machine algorithm with a ratio of 80:20 training and testing data ratio scenario produces the highest accuracy.
Implementation of the Multy Attribte Utily Theory Method in the Decision Support System for Determining Smart Indonesia Program Assistance (PIP) at SDN 4 Cisalada Nur Yani, Fitry; Gito Resmi, Mochzen; Alam, Syariful
RISTEC : Research in Information Systems and Technology Vol. 3 No. 1 (2022): JURNAL RISTEC : Research in Information Systems and Technology
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The Smart Indonesia Program (PIP) is one of the government's programs as Poor Student Assistance (BSM). The government program is in the form of cash assistance given to children aged 6-21 years who are still in the world of education. Currently, pip selection at SDN 4 Cisalada from the school is less targeted to have problems in determining potential beneficiaries of assistance where not all students who come from poor families can receive the Smart Indonesia Program (PIP). for this resulting in the injustice of students who should be entitled to PIP funding assistance. To avoid existing problems for the selection of prospective recipients of the Smart Indonesia Program (PIP) requires a Decision Support System (SPK). The Multi Attribute Utility Theory (MAUT) method is a quantitative comparison method that usually combines measurements of different risk and profit costs. Design and Build using the Waterfall method in the process of working on it, the design is made using a flowmap and modeling using Unified Model Language (UML) including Use Case Diagrams, Activity Diagrams, Sequence Diagrams and Class Diagrams. As for programming, it uses PHP and the database uses MySQL. The results of the research that has been carried out by the researcher, it can be concluded by the application of the Decision Support System in determining the determination of PIP assistance in schools using the Multy Attribute Utility Theory (MAUT) method, for the school can be more objective in assessing the determination of PIP recipients, so as to minimize the risk of misuse and distribution of PIP funds to students not appropriately receiving them. Which is in the nature of providing recommendations for decisions to the school.
Co-Authors Abdullah Muttaqin, Aab Agus Sunandar, Muhamad Alim Adiyatma, Fikri Apriliyanti, Putri ardiningrum, Talitha widyadhana Arialdi, Miftahul Borsa, Merve Ozkan Cony Dehas Ratna Devi Darusalam, Tatan Dede Irmayanti Defriani, Meriska Dewi, Selvy Kirana Fajrin, Yaris Adhial Fristtikasari, Dwi Hafid Totohendarto, Moch Happy David Pradhan Hermawan, Muhammad Rizki Hidayatullah, Muhammad Iman Hermanto, Teguh Jaelani, Irsan Kurniawan, Imay Masripah, Nunung Masykur, Alia Azizah Maulana Yusup, Maulana Meisa Azzahra, Dinda Merve Ozkan Borsa Minarto, Minarto Muhammad Aditya, Andika Mulyana Mulyana Mutiara Andayani Komara Nabillah, Asyfah Nugroho, Imam Ma'ruf Nur Yani, Fitry Nurul Azizah, Elma Nurzainah, Nia Siti Pauzi, Nur Pradhan , Happy David Pradhan, Happy David Prasetio, Bayu Putra, Egy Aria Ramadhan, Muhammad Arief Dwi Raymond Ramadhan, Yudhi Resmi, Mochzen Gito Salsabila, Mutiara Shaquila Sanjaya, Leonard Putra Shahidzinda, Rezha Sholahuddin Al-Fatih Suciaty, Nenda Putri Sulistyo S, M. Imam Syofiani, Febriyanti Winanda, Pandu Arya Yaris Adhial Fajrin Yohana Puspitasari Wardoyo