Article Per Year (5 Year)
p-Index From 2021 - 2026
1.686
P-Index
This Author published in this journals
All Journal Journal of Mathematics Instruction, Social Research and Opinion Journal of General Education and Humanities Journal of Computation Science And Artificial Intelligence INFOKOM
Kosim
Sekolah Tinggi Ilmu Komputer Poltek Cirebon
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
Application Ability of Students in Integrated Computer-Aided Numerical Analysis Learning Kosim Kosim
Journal of Mathematics Instruction, Social Research and Opinion Vol. 1 No. 1 (2022): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.6 KB) | DOI: 10.58421/misro.v1i1.11

Abstract

The low ability of students to apply in numerical analysis courses is a problem in this research. Integrated learning is one solution to this problem. The aim is to determine the differences in student application abilities between integrated and conventional learning. One of the computer science colleges in the Cirebon area was sampled in this study. Two groups were formed, consisting of 1 integrated study group with a total of 36 students and one conventional study group with a total of 32 students. Both groups contracted numerical analysis courses. What carried out the type of quasi-experimental research and the static group comparison randomized control group only design became the design in this study. The result is that the average value of the application ability of students who study conventionally is 80.31, while the average application ability of students who study in an integrated manner is 84.58. The application ability of students who study integrated is higher than students who study conventionally, and the ability to apply of students who study integrated is more uniform than students who study conventionally. The results of the Mann-Whitney test found that the application ability of students who studied in an integrated manner was better than those who studied conventionally.
Application of Additive Ratio Assessment (ARAS) Method for the Selection of Youth Red Cross Chairperson at SMA Negeri 1 Lebakwangi Kuningan Bayu Pangestu; Kosim; Asep Kosasih
Journal of General Education and Humanities Vol. 1 No. 2 (2022): May
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.302 KB) | DOI: 10.58421/gehu.v1i2.18

Abstract

This study aims to build a decision support system that can choose the chairman of the Youth Red Cross using the Additive Ratio Assessment (ARAS) method and to overcome the problems faced by the selection committee for the chairman of the Youth Red Cross at SMA Negeri 1 Lebakwangi Kuningan, West Java. The ARAS (Additive Ratio Assessment) method is a multi-criteria decision-making method based on ranking using the utility degree by comparing each alternative's overall index value to the optimal alternative's overall index value. The results of the research obtained are the existence of a decision support system for the election of the candidate for the chairman of the Youth Red Cross, assisting the election committee in assessing and selecting candidates for the PMR board according to the criteria. The design of a decision support system for selecting the chairman of the Youth Red Cross at SMA Negeri 1 Lebakwangi is implemented using a web-based programming language, for the predetermined assessment criteria and sub-criteria can be stored systemized, thus enabling relatively faster processing. By using this decision support system application that has been designed, the assessment and selection of candidates for the chairman of the Youth Red Cross become more accurate and more accessible because it uses computerized media so that the selection of candidates for chairman can be more neat and systematic.
Application of the Promethee II Method for Determining Road Improvement Priorities Mayang Sari; Kosim Kosim; Andika Saputra
Journal of Mathematics Instruction, Social Research and Opinion Vol. 2 No. 1 (2023): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v2i1.56

Abstract

The road is an infrastructure that is often passed by the community. If there is damage, it will significantly disrupt community activities; for example, road conditions become jammed. This is necessary for the Public Works and Spatial Planning Office of the City of Cirebon to handle the road repairs, but in carrying out repair planning, there are obstacles, one of which is the difficulty in determining priority for road repairs with limited funds from the center. This research decision support system using the Promethee II method aims to find accurate results that are useful in determining priority road repairs that will be selected for repair. The criteria used in this study are Section Length, Road Width, Damage Condition, Traffic Volume (LHR), and Road Access. The results of this study selected Jalan A1 as an alternative that had the highest rating level of 0.613333333, and this indicated that this road was a road that had to be prioritized for repair. The test results show that the Promethee II method can produce priority recommendations for road improvements based on the required criteria.
Recommendation System Algorithm Content-Based Filtering Method to Provide Drink Menu Recommendations Kosim Kosim; Reza Prihandi
Journal of Mathematics Instruction, Social Research and Opinion Vol. 2 No. 2 (2023): July
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v2i2.130

Abstract

Overchoice is a cognitive disorder in which people have difficulty making decisions when faced with many choices, that make the problem in this study. This over-choice phenomenon often occurs in choosing drinks in cafes and restaurants. This research aims to create a Recommendation System (RS) to assist in choosing the drink you want to order. Making a non-personalized hospital at the Mubtada Kopi cafe uses the best-rated and content-based filtering methods. The content-based filtering method tries to retrieve user preferences explicitly, asking the user to choose the preferences the user wants from the six content made before calculating the match between the user's preferences and the six contents in each item using the dot matrix formula. The results will be converted into a rating to match the best-rated hospital approach, which is made on a non-personalized basis. This rating matches the user's preferences and the Mubtada Kopi menu list items. The higher the rating, the better it matches the user's preferences. The order RS recommends with the Content-based filtering method is rosella tea, chocolate, lemon tea, blossom tea, and spice tea.
QRIS-Based Payment System at Loddy's Pet Shop Cirebon Kosim Kosim; Asep Kosasih; Angel Imannuel
Journal of Mathematics Instruction, Social Research and Opinion Vol. 5 No. 1 (2026): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v5i1.1008

Abstract

The development of information technology encourages business actors to shift from manual systems to more efficient computerized systems. Loddy’s Pet Shop Cirebon still uses manual (non-computerized) transaction recording, which is prone to human error, data loss, and delays in financial reporting. This research aims to design and implement a payment system based on the Quick Response Code Indonesian Standard (QRIS), integrated with the store’s cashier system, to facilitate transaction processing and financial recording. The research method used is descriptive, with data collection techniques including observation, interviews, and literature study, while the system development adopts the Rapid Application Development (RAD) method. The system is built using PHP and MySQL and integrated with the Midtrans payment service to generate dynamic QRIS codes. The implementation results show that the system can minimize recording errors, accelerate payment processes, generate financial reports automatically, and improve operational efficiency. With this system, Loddy’s Pet Shop can enhance service quality and gain a competitive advantage in the digital era.
Decision Tree Methodology (C4.5) for Predicting Students' Reading Interest in the Library SMK Negeri 1 Kota Cirebon Muhammad Erwanto; Kosim Kosim; Nur Bambang Riyanto; Sukmo Banyu Jogo
Journal of Mathematics Instruction, Social Research and Opinion Vol. 4 No. 1 (2025): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v4i1.359

Abstract

Reading is one aspect of language skills that is actively receptive. The media used in reading is written language media. Reading is seeing and understanding the content of what is written, either spelling or pronouncing what is written. Reading activities are often socialised in education because reading is a very important activity to support teaching and learning activities at school. The facility provided by the school as a support in socialising reading activities for students is the library. Many students often utilise the SMK Negeri 1 Kota Cirebon library to carry out the borrowing process and read books there. Reading activities are an obligation that students must carry out, but students who carry out reading activities cannot be categorised as students with an interest in reading. The problem faced by the SMK Negeri 1 Cirebon City library is that it has not been able to predict or know the reading interests of students in the school library. This study uses data mining techniques with the C4.5 algorithm to predict student reading interest. This research produces rules to help SMK N 1 Cirebon City predict student reading interest in the school library. This step is done by designing a system model that uses the C4.5 algorithm to form a decision tree to produce a rule for predicting student reading interest. This research will produce valuable information about predicting student reading interest in the SMK Negeri 1 Cirebon City library using the C4.5 algorithm method.
Monte Carlo Method for Predicting Educational Service Revenue at Each Level of Education at PT. Kanaka Belajar Raden Radian Baratasena; Mukidin Mukidin; Kosim Kosim; Adinda Rainah Lova Ariatin
Journal of Mathematics Instruction, Social Research and Opinion Vol. 4 No. 3 (2025): September
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v4i3.497

Abstract

The increasing demand for education services in Indonesia has significantly influenced the growth of private tutoring businesses. PT Kanaka Belajar is a company that provides private tutoring services, yet it continues to face challenges related to revenue uncertainty and fluctuating student enrollment, which can affect financial management and increase the risk of business bankruptcy. Therefore, a reliable and accurate revenue prediction system is necessary at each level of education to estimate income for the coming year. The Monte Carlo method is a computational algorithm that uses repeated random sampling to obtain numerical results. This study applied the Monte Carlo method to forecast revenue based on historical data from 2021 to 2023. This research aims to develop a web-based revenue prediction system for educational services at different levels by implementing the Monte Carlo simulation. The results demonstrated that the model provided high prediction accuracy for private tutoring income at the elementary school level in 2023, with an MAPE value of 1.57%. The system predicted 314 tutoring sessions, while the data showed 319 sessions, resulting in a minimal difference of 5 sessions. These findings suggest that the Monte Carlo method effectively forecasts educational service revenue, where smaller percentage error values indicate higher accuracy, while larger errors suggest lower forecast reliability.
ALGORITMA NAÏVE BAYES CLASSIFIER UNTUK MENGETAHUI PREDIKSI PENGGUNAAN KARTU INTERNET INDOSAT PADA PT. SAKALAGUNA SEMESTA Susi Widyastuti; Kosim; Nurul Renita Febrisya
Journal of Computation Science and Artificial Intelligence (JCSAI) Vol. 2 No. 1 (2025): Journal of Computation Science And Artificial Intelligence (JSCAI)
Publisher : PT. Berkah Digital Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58468/tcp39749

Abstract

Kartu perdana internet pada saat ini menjadi hal yang populer di berbagai kalangan masyarakat Dalam menghasilkan suatu produk yang sama atau sejenis dengan kualitas dan mutu yang baik, hal ini yang membuat perusahaan berlomba-lomba untuk mengetahui keinginan dan kebutuhan para konsumen agar menghasilkan kartu perdana internet yang banyak diminati konsumen. Prediksi penggunaan kartu internet dengan minat konsumen akan sangat penting bagi perusahaan, dimana dengan adanya prediksi penggunaan minat konsumen perusahaan dapat mengambil suatu keputusan atau strategi yang benar dan tepat bagi konsumennya. Proses memprediksi menggunakan perhitungan metode algoritma naïve bayes classifier. Hasil output dalam aplikasi ini berupa visualisasi informasi pengelompokan jenis kartu internet indosat berdasarkan data kartu internet Indosat, diharapkan mampu untuk menentukan prediksi penggunaan serta dapat menentukan produk kartu internet indosat terunggul. Abstract Internet starter cards are currently popular among various groups of people. In producing the same or similar products with good quality and quality, this is what makes companies compete to find out the desires and needs of consumers in order to produce internet starter cards that are in great demand by consumers. Predicting the use of internet cards with consumer interest will be very important for the company, where with the prediction of consumer interest usage, the company can make a decision or strategy that is right and appropriate for its consumers. The prediction process uses the naïve bayes classifier algorithm method calculation. The output results in this application are in the form of visualization of information on grouping types of Indosat internet cards based on Indosat internet card data, which is expected to be able to determine usage predictions and determine the best Indosat internet card products.
PENERAPAN MOORA & ELECTRE UNTUK REKOMENDASI PENGADAAN BUKU DI DINAS PERPUSTAKAAN DAN KEARSIPAN Kosim; Virgiyanti; Rosidin; Taufik Hidayat
INFOKOM Vol. 19 No. 1 (2026): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perpustakaan merupakan sebuah lokasi atau bagian dari suatu bangunan yang menyimpan buku-buku dan mendistribusikannya dalam berbagai cara berdasarkan permintaan khusus dari pembaca. Pengadaan buku yang tepat dan efisien menjadi faktor yang krusial dalam meningkatkan kualitas pendidikan. Pengelolaan bahan pustaka merupakan salah satu cara agar perpustakaan dikatakan dapat memberikan pelayanan prima. Perpustakaan dimanfaatkan sebagai wadah persiapan dan koordinasi dalam satuan kerja untuk mengumpulkan, menyimpan, dan memelihara koleksi yang terkoordinasi dan diawasi secara metodis. Dinas Perpustakaan dan Kearsipan Kota Cirebon menghadapi kendala dalam pengadaan buku yang dinilai kurang optimal dan efisien. banyak buku dengan permintaan tinggi tersedia dalam jumlah terbatas, sementara buku kurang diminati justru mendominasi koleksi. Kondisi ini mengakibatkan ketidakefisienan anggaran serta menyulitkan pustakawan dalam memenuhi kebutuhan informasi pemustaka. Dalam mengatasi permasalahan tersebut, diperlukan sebuah sistem pendukung keputusan yang dapat mengintegrasikan berbagai faktor dalam perencanaan pengadaan buku. Pengembangan sistem yang menggabungkan metode Multi Objective Optimization on The Basis of Ratio Analys (MOORA) untuk optimalisasi pemilihan buku dan metode Elimination Et Choice Translating Reality (ELECTRE) untuk penentuan prioritas pengadaan dapat menjadi solusi yang tepat. Hasil penerapatan kedua metode ini menunjukan efektifitas dalam menentukan prioritas pengadaan buku.
Co-Authors Adinda Rainah Lova Ariatin Andika Saputra Angel Imannuel Asep Kosasih Bayu Pangestu Mayang Sari Muhammad Erwanto Mukidin Mukidin Nur Bambang Riyanto Nurul Renita Febrisya Raden Radian Baratasena Reza Prihandi Rosidin Sukmo Banyu Jogo Susi Widyastuti Taufik Hidayat Virgiyanti