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Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318904     EISSN : 30318912     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika memuat naskah hasil-hasil penelitian di bidang Sistem Informasi dan Teknik Informatika
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 235 Documents
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Sistem Informasi Penjualan dan Stok dilengkapi dengan Mapping Rak pada Toserba: Studi Kasus : Toserba Decky Mohamad Doris Sambodo Putro; Soetam Rizky Wicaksono
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.306

Abstract

In the digital era, the advancement of information technology is crucial for enhancing operational efficiency in retail businesses. This study aims to design and develop a sales and inventory information system with a shelf mapping feature for Toserba Decky, which faces challenges in managing stock and manual transactions. The methodology employed is the Waterfall approach, encompassing requirements analysis, design, implementation, and system testing. Data was collected through direct observation, literature review, and analysis of the store's shelf layout. The findings indicate that the developed system can improve data accuracy, reduce recording errors, and expedite product searching. The implications of this research suggest that an effective information system in managing transactions and inventory can enhance operational efficiency and customer satisfaction. This study recommends regular system updates and technical support to ensure optimal system performance and security.
Sistem Pakar Mendiagnosa Penyakit Radang Kulup Pada Pria Menggunakan Metode Case Based Reasoning Nike Alpio Rizky; Relita Buaton; Siswan Syahputra
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.310

Abstract

Balanitis is an inflammatory disease of the tip of the penis that commonly occurs in uncircumcised men as a result of poor hygiene and aeration or because of irritation by smegma and in many cases preputial dysfunction is a causal or contributing factor. Balanitis generally attacks uncircumcised men, characterized by the glans and foreskin becoming red and inflamed. In circumcised men who do not have a foreskin, these symptoms only affect the tip of the penis. This condition often occurs due to the fungus Candida albicans, the same organism that causes vaginal yeast infections in women. Balanitis (which is also referred to as balanoposthitis) can also be caused by various other fungal or bacterial infections, or can occur due to sensitivity reactions to common chemicals. Diabetes can increase the chance of developing balanitis, especially if blood sugar is not well controlled. Currently, people who experience illness or events that have not occurred before in the genitals will consult or diagnose their illness with a specialist in skin diseases to find out what disease they are experiencing. This requires time, energy and costs just to consult a doctor. The aim of conducting this research is that currently there is no system for diagnosing inflammation of the male foreskin. For this reason, the author will create an alternative application system that can diagnose diseases that occur in the male genitals more easily by asking questions about the symptoms or events experienced as factors in the disease and providing a percentage value regarding the severity of the disease experienced.
Rancang Bangun Sistem Informasi Manajemen Stok Barang Pada Toko Plastik Bimiu Dengan Metode First In-First Out (FIFO) Halimatus Sadiah; M.Agus Sunandar; Meriska Defrriani
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.312

Abstract

Pengelolaan inventaris yang efektif dan efisien merupakan salah satu faktor kunci keberhasilan operasional pasar plastik BIMIU. Namun berbagai permasalahan sering terjadi, antara lain kesalahan pencatatan persediaan, data persediaan yang tidak akurat, dan ketidakmampuan melacak umur barang persediaan.Oleh karena itu, tujuan dari penelitian ini adalah merancang dan membangun sistem informasi manajemen gudang dengan metode FIFO (First In First Out) untuk mengatasi permasalahan tersebut.Metode FIFO dipilih karena paling cocok untuk toko plastik BIMIU, kami juga mengirimkan produk yang tiba lebih dulu, sehingga meminimalkan risiko kerusakan produk akibat penyimpanan jangka panjang. Sistem ini dibuat menggunakan perangkat lunak berbasis web dengan menggunakan bahasa pemrograman PHP dan database MySQL.Hasil penelitian menunjukkan bahwa sistem informasi manajemen gudang yang dirancang dapat meningkatkan akurasi pencatatan persediaan, mempermudah proses pelacakan produk, dan mengoptimalkan pengelolaan gudang. Pengenalan sistem ini diharapkan dapat meningkatkan efisiensi operasional dan layanan pelanggan Toko Plastik BIMIU.
Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.322

Abstract

The process of accepting new students generates a lot of data in the form of profiles of students who register. From year to year there is an increase in the number of prospective new students who come from several areas in Binjai City, Langkat Regency and surrounding areas, so the location of the socialization of new student admissions promotions every year is increasing and wider. And from several schools that have been visited and are expected to provide new prospective students, in fact, it is not proportional to the final number of prospective students who register. In this study, applying the K-Means Clustering algorithm using 3 variables namely, region, school origin, major. In determining the location of new student admissions promotions, the promotion team first identifies what factors will influence the determination of promotional locations ranging from region, school origin and majors that are considered to be set as promotional locations. Based on the results of grouping new student admission data of STMIK Kaputama Binjai using the K-means Clustering method from 20 data that has been processed, 3 clusters and 3 iterations are produced where cluster 1 has 9 data, cluster 2 has 2 data and cluster 3 has 9 data.
Identifikasi Minat Bakat Siswa Kelas 4 dan 5 pada Sistem Pakar dengan Metode Certainty Factor Bruno Muri Beding; I Ketut Sudaryana
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.326

Abstract

An expert system is a computer program that imitates the decision-making abilities of an expert in a particular field. This system uses a knowledge base and logical rules to analyze problems and provide solutions or recommendations, helping users who do not have in-depth knowledge of the topic, then along with the development of website-based information technology which can make it easier to identify student interests, talents, especially grades 4 and 5 carried out by the teacher, this includes the potential of each individual student according to their category so as to provide an accurate solution. The aim of this research is that an application of an expert system for identification of talent interests for users is needed which supports the teacher analysis process using certainty factors, based on certainty factors which have a concept based on symptoms and diagnoses from the weight of an expert's value and the user's value, then calculated using the certainty factor formula, the output research on the creation of an expert system for identifying student talent interests using a website-based certainty factor method which produces diagnostic results for talent interest categories.
Metode Forward Chaining untuk Diagnosa dan Penanganan Penyakit Stroke dengan Sistem Pakar Rhima Diana; Ryci Rahmatil Fiska
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.351

Abstract

This research aims to develop a web-based expert system with the Forward Chaining method that can diagnose and provide treatment for people with stroke disease. The expert system will be used to help the diagnosis process by analyzing the symptoms reported by the patient. The Forward Chaining method will be used as an inference approach in this expert system. The system will use a knowledge base that contains medical rules obtained from experts. The inference process will be carried out by linking the symptoms reported by the patient with the information in the knowledge base to determine possible diagnoses and appropriate treatments. This expert system will be implemented in the form of a web-based application that can be accessed by the general public. The results of this study show that the expert system to diagnose and provide treatment using the forward chaining method is successfully built and the application can be used to help the general public diagnose by entering the symptoms felt and the expert system will provide diagnostic results and provide treatment.
Kombinasi Metode SAW dan AHP Sistem Penunjang Keputusan Pemberian Pinjaman Bagi UMKM Anggota Koperasi Randy Anderias Adu; Agus Budiyantara
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.387

Abstract

Cooperative loans are financial facilities provided by cooperatives to their members to meet funding needs with predetermined terms and conditions. The process includes submission, assessment and disbursement of funds according to members' needs and abilities. This loan generally has a certain interest and repayment period. The aim of the research is to determine the provision of loans in a decision support system using a combination of AHP and SAW methods. The AHP method is an analytical technique for selecting the best alternative in complex decision making, by weighing preferences and criteria, while SAW is a calculation approach that takes into account relative weights for evaluating alternatives in a decision support system. The final result of combining the AHP and SAW methods is to obtain a ranking of the names of cooperative members who are entitled to receive loans, ranging from the best 10 people out of 50 people in each region in Jakarta.
Rancang Bangun Sistem Informasi Produksi Celana Berbasis Web Dengan Model Waterfall dan Pengujian Blackbox Mira Permatasari; Nur Nawaningtyas Pusparini
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.388

Abstract

Information Systems are a collection of systems in their aspects consisting of software, hardware and brainware in a structured manner with performance in a gradual and interconnected process so as to create a particular product that users need, especially the production of trousers in companies generally has processes such as production planning, production of goods, delivery of goods and goods reports, the aim of the research is to design an information system regarding the production of trousers for existing employees based on a website with a waterfall model in stages and testing using a black box on functional features, the final result is the creation of an information system for the production of trousers for production employees with website-based waterfall method
Penentuan Kelayakan Karyawan Baru Menggunakan Data Mining Dengan Algoritma Decision Tree (C4.5) Hamzah Kadar; Agus Budiyantara
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.389

Abstract

Eligibility for new employees includes individuals who have skills appropriate to the position they are applying for, have a high willingness to learn, communicate well, and have integrity and good work ethics. They must also be able to adapt to the work environment and team quickly, but determining the suitability of new employees is quite difficult given the competencies of each division, therefore the use of data mining is very suitable for determining the suitability of new employees according to the needs of the company which uses them. decision tree algorithm (C4.5), the results obtained from the decision tree algorithm process show the truth tree for classifying new employees and a high level of accuracy with a percentage of 98.44% based on test 2.
Pengaplikasian Data Mining Penentuan Penerimaan Bantuan Sosial Masyarakat Dengan Prosedur Algoritma Naive Bayes Nurfalah Nurfalah; Rouli Doharma Ms
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.392

Abstract

Social assistance is an important aspect of government and non-government programs that can help on a large scale for the community so that the impact is to lighten life in the short term, but social assistance has several criteria such as income, social conditions, family status and the impact of the economic situation. . Knowing the criteria for social assistance is done by applying data mining to social assistance using the Naive Bayes algorithm procedure which produces accuracy calculations from 100 testing data, obtained good values, namely accuracy of 95.00%, precision of 92.31%, and recall of 97.95%.

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