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Journal : Building of Informatics, Technology and Science

Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Jantung Ayu Handayani; Jeperson Hutahaean; Akmal Nasution
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.1981

Abstract

Many people have died of sudden heart attacks. The role of a specialist doctor is very necessary to overcome this, but the role of the doctor is also bumped due to limitations in terms of numbers and hours worked. In addition, in general, people with heart disease often ignore and do not understand the causes and symptoms of heart disease. Most patients are reluctant to have their heart health checked because they are constrained by expensive medical expenses, as well as a lack of service to patients. In the process of consulting for heart disease, the patient must come to the hospital and do an examination in person which of course must go through a series of procedures starting from registration onwards to get results. To overcome this problem, an expert system application is needed for the early diagnosis of heart disease. The purpose of this study was to build a web-based system of heart disease diagnosis expert applications. This expert system application uses the Hybrid Case Base method which is a combination of the Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR) systems. The RBR system and the CBR system have their advantages and disadvantages. The analysis and design of the systems used are UML and Entity Relationship Diagrams. In this expert system application, patients will consult by answering several questions about the symptoms of heart disease displayed by the system by checking the symptoms they experience. Then the system will provide diagnostic results based on the symptoms experienced by the patient. The results of this study can diagnose the type of heart disease experienced by patients and their treatment solutions and what percentage of the patient is likely to suffer from the disease quickly
Penerapan Metode Case Based Reasoning Untuk Diagnosa Penyakit Kulit Akibat Virus Eksantema Berbasis Web Parwan Harahap; Jeperson Hutahaean; Muthia Dewi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2092

Abstract

In the current condition of the patient, if he has experienced early symptoms of skin disease due to the exanthema virus, it is felt that he cannot directly consult with a dermatologist because of the high cost and limited time for specialists to carry out activities in the hospital. So the author needs to make an expert system application that can overcome this. Through this application, users can consult with the system like consulting an expert to diagnose symptoms that occur to users and find solutions to problems encountered. This expert system is made by providing appropriate or not or with several choices of answers that are recommended from the symptoms that occur. System. Diagnosing skin diseases due to exanthema virus, the author uses the Case Based Reasoning method. The CBR method is a weighting technique by comparing new cases with old cases. With the diagnosis based on the data provided by the patients and experts then analyzed by case based reasoning method and stored as a knowledge database in the expert system. So that this expert system can help to take solutions for handling problems when patients suffer from skin diseases due to the Exanthema Virus.
Penerapan Metode Dempster Shaper Pada Sistem Pakar Diagnosa Penyakit Diabetes Mellitus Aandanu Aandanu; Jeperson Hutahaean; Elly Rahayu
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2159

Abstract

Penyakit Diabetes Mellitus (DM) dapat didiagnosa berdasarkan data fakta ataupun gejala yang dialami pengguna sistem dan kadang gejala awal yang dialami pasien penyakit DM masih biasa saja sehingga dianggap dalam kondisi masih sehat. Dengan memperhatikan data fakta ataupun gejala-gejala yang dialami, diharapkan sistem ini dapat mendiagnosa tipe pada penyakit DM, sehingga gangguan atau penyakit dapat terdeteksi lebih awal dan penangannya. Terutama pasien yang ada di Rumah Sakit Umum Abdul Manan Simatupang Kisaran perlu ditangani dengan cepat karena berdasarkan jumlahnya cukup banyak pada setiap tahunnya. Kemajuan sistem pakar dapat mengatasi permasalahan ini yaitu dengan merancang sebuah sistem komputer berbasis web yang terintegrasi dengan database dan bahasa pemrograman seperti PHP-MySQL sehingga dapat membantu penderita untuk mendiagnosa gejala-gejala dan tipe penyakit tersebut. Tujuan dari penelitian ini adalah untuk membangun sebuah sistem pakar untuk mendiagnosa penyakit Diabetes Mellitus berbasis web. Aplikasi sistem pakar dalam pengambilan keputusan ini menggunakan metode Bayes dalam menghadapi suatu permasalahan, sering ditemukan jawaban yang tidak memiliki kepastian penuh. Peluang atau probalitas ini dapat berupa hasil suatu kejadian. Pada analisa permasalahannya sehingga didapatkan persentasi dari tipe penyakit tersebut. Hasil dari implementasi sistem yaitu sistem memberikan pilihan berupa gejala-gejala yang harus dipilih oleh pasien berdasarkan gejala yang dialami oleh pasien dan hasil dari proses tersebut adalah penyakit diabetes gestasional dengan bobot lebih tinggi dari penyakit diabetes lainnya yaitu bobot =1.66. Sistem juga akan memberikan informasi dalam penanganan penyakit diabetes tersebut
Penerapan Metode Metode Dempster Shafer Untuk Mendiagnosa Penyakit Ginjal Berbasis Web Sri Wahyuni; Jeperson Hutahaean; Cecep Maulana
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2166

Abstract

Kidney disease is one of the non-communicable diseases with the highest proportion in Indonesia and is one of the causes of death in this country. Especially in Asahan District, the number of kidney patients who die is increasing over time, so there needs to be effective treatment so that kidney disease is no longer feared by the public because it is easy to treat. Many patients who experience kidney disease are getting worse because they cannot detect the early symptoms of kidney disease, which is still considered trivial. There is no information about kidney disease and its symptoms, making it difficult to diagnose the disease. In the diagnosis of this disease is limited to conventional diagnosis with doctors. it is necessary to build a system on a computer application to help diagnose kidney disease. To determine the level of kidney disease, an expert diagnostic system was made with the method used in this case is the Dempster Shaper method. This method is an approach method that is used is to measure the strength of evidence (facts) in supporting a set of propositions by providing a way to combine evidence from sources and bring or provide a level of confidence (represented through the trust function) which takes from all available evidence with input. required attributes and the likelihood of the disease and associated symptoms. The result of the implementation of the system is that the system provides an alternative to the symptoms experienced by the patient and the results of the process the system will provide information on kidney infection by 60% and also provide solutions with treatment
Peramalan Penjualan Produk Sepatu dengan Menggunakan Metode Double Moving Average (DMA) Dandi Irwansyah; Jeperson Hutahaean; Suparmadi Suparmadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2199

Abstract

Halim Jaya Kisaran shop is one of the trading businesses that sells people's basic needs such as shoes and bags. This store requires forecasting in an effort to process data and generate accurate reports. This is done because the Halim Jaya Kisaran Store to determine the demand for shoes is unpredictable, so it often experiences a lack of shoes to be purchased in order to serve the demand for shoes needed by customers. In designing this system, the author uses the Double Moving Average (DMA) forecasting method for the decision support process in determining the number of shoe stocks to be sold for the next month, using the calculation method. This forecasting application was created using the Visual Basic Net 2010 programming language with Microsoft Access as the database. From making the system an application can be produced that can control optimal and economical demand and with a high level of accuracy and can predict the number of shoe requests at the Halim Jaya Kisaran Store so that the forecast results can help the store to avoid running out of stock of shoe requests at the Halim Jaya Kisaran Store
Sistem Informasi Pengadaan Pupuk Berbasis Web Hutahaean, Jeperson
Building of Informatics, Technology and Science (BITS) Vol 1 No 2 (2019): December 2019
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.293 KB) | DOI: 10.47065/bits.v1i2.54

Abstract

In supporting plantation operations, one of the obstacles faced by plantations is the processing system for palm oil principal inventory data, fertilizer dosage data and fertilizer demand data which are still done manually, resulting in delays in processing fertilizer realization and takes a long time. This research began with several methods, namely (interviews) directly to the speakers, field studies, literature studies and direct observations of the system created. This study aims to make it easier for management to see the availability of stock of goods from manuals to computerized systems using web-based systems, this system is closely related to computer media, hoping this system can produce information easily, quickly and accurately. Information system processing data for palm oil principal inventory, fertilizer dosage data and fertilizer demand data which are still done manually causes delays in processing fertilizer realization data processing, by using a system designed the information system processing data for principal oil palm inventory, fertilizer dosage data and data fertilizer needs can help agencies in processing data quickly, precisely, and accurately.
Penerapan Metode Analytical Hierarchy Process Dalam Pemilihan Tempat Cafe di Kisaran Azhar, Zulfi; Hutahaean, Jeperson
Building of Informatics, Technology and Science (BITS) Vol 2 No 2 (2020): December 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.538 KB) | DOI: 10.47065/bits.v2i2.560

Abstract

To get information about a cafe in accordance with consumer desires is not easy, sometimes consumers feel confused. This is a problem in providing solutions in choosing the right and best cafe places according to the tastes of consumers in Kisaran City. To provide solutions to problems that arise, a decision support system (DSS) is made using the AHP method to make it easier for users to provide solutions to their problems. The method used is to collect data on filling out forms given to consumers who frequently visit several cafes in Kisaran. The results obtained in the implementation of this study were selected as the criteria for a place with the alternative being Callisto Cafe.
Perbandingan Metode SMA dan MWA Dalam Memprediksi Jumlah Penjualan Alat Olahraga Syafira, Shella; Hutahaean, Jeperson; Santoso, Santoso
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.335 KB) | DOI: 10.47065/bits.v3i4.1409

Abstract

Taufik Sport shop is a store engaged in the sale of sports equipment, located in West Kisaran City, Asahan Regency. Every day many sales transactions occur at the Taufik Sport Kisaran Store, which of course will affect the supply of sports equipment in the warehouse. The problem faced by the Taufik Sport Kisaran Store is the difficulty in predicting the number of sports equipment that must be available in the following month in order to meet customer demand and not cause the accumulation of goods in the long term. The forecasting process has been carried out only based on estimates by looking at the sales data recap of the previous month. Therefore, it is necessary to build an application for forecasting sales of sports equipment using the Single Moving Average method and the Weighted Moving Average method to get more accurate forecasting results. The data used for this study is data on sales of sports equipment from March 2021 to February 2022. This study aims to compare the Single Moving Average and Weighted Moving Average methods in predicting sales of sports equipment and determine the level of accuracy of the two methods. The Weighted Moving Average method is a method that uses a technique of giving different weights to the available data with the thought that the most recent data is the most relevant data for forecasting so that it is given a greater weight, while the Single Exponential Smoothing method does not use weighting in forecasting calculations but take the average value of the price of a sale in a certain time range back. The results of this study are based on the MAPE value, the WMA method is better than SMA because it is more suitable for forecasting fluctuating sports equipment sales data. The comparison indicator is seen from the forecasting accuracy by finding the smallest error value between the two methods
Penerapan Customer Relationship Management (CRM) Dalam Sistem Informasi Penjualan Kosmetik Berbasis Web Anggara, Nadia Ayu Agustri; Hutahaean, Jeperson; Iqbal, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (760.422 KB) | DOI: 10.47065/bits.v3i4.1440

Abstract

CRM is a marketing strategy to create and maintain a good relationship with customer and decrease the possibility customer move away to other competitors. This research present the analysis of web-based CRM development in Marketing Information System at Toko ZU MS GLOW SUMUT STOCKIST. The result is an CRM web-based system which can manage customer data, product promotion, product sales data and managing of customer service that used to save customer question and complain to create good relationship with customer. This application, Toko ZU MS GLOW SUMUT STOCKIST is expected to mantain good relationship with customer or get new customer, which eventually bring benefits to the company. With this method, results can be obtained in the form of the realization of a Customer Relationship Management Application to simplify, accelerate and optimize the quality of customer service
Co-Authors Aandanu Aandanu Abdul Karim Ade Mayhaky Afdawiah, Rabiatul afrisawati, Afrisawati Agi Candra Bramantia Ahmad Zein Hasibuan Akmal Nasution Alpionita , Ella Anggara, Nadia Ayu Agustri Arridha Zikra Syah Aulia Kartika Aulia Kartika Aulia Khairani Nasution Aulia khairani Nasution Aulia Putri Fahdrina, Jihan Ayu Ambarwati Ayu Handayani Azmi Dwi Andira Putri, Aulia Badaruddin, Muliati Bella Putri Cahyani Ben Rahman Cecep Maulana Cecep Maulana Dandi Irwansyah dermawan, ari Desyanti Dewi Harwini Efendi Hutagalung, Jhonson Eka Saputra, Anton Endra Saputra Erlin Windia Ambarsari Eska, Juna Eva Solita Pasaribu Evi Ariyanti Purba Fahdrina, Jihan Aulia Putri Farenza, Dinda Novri Fitri Hadanyani Gogor Christmass Setyawan Guntur Maha Putra Haryansyah Sitorus Hetty Rohayani Hommy Dorthy Ellyany Sinaga Hutagalung, Juniar Indah Kurnia Irawati, Novica Irene Hasian Iwan Adhicandra Jasmir Jhonson Efendi Hutagalung Jumaryadi, Yuwan Kifti, Wan Mariatul Marpaung, Nasrun Maulana, Cecep Muh Saleh Malawat Muhammad Amin Muhazir, Ahmad Muthia Dewi Nazrul Azizi Neny Mulyani Nofri Yudi Arifin Nofriadi Nofriadi Novita Sari Novrini Hasti Nuriadi Manurung Parini, Parini Parwan Harahap Putri Fahdrina, Jihan Aulia Putri Rahmadani, Putri Rachmad Andri Atmoko Rahayu, Elly ramadhani ramadhani Ramadhani, Andrew Riski Afdhalis Syahreza Rolly Yesputra Ruktiari Ismail, Rima Saludin Saludin SANTOSO SANTOSO Saputra, Endra Sartini Sartini Siagian, Yessica Siti Nuraisyah Suci Dewi Maharani Sianipar Sitorus, Lamhot Sri Amelia, Sri Sri Rezki Maulina Azmi Sri Wahyuni Sufi Lubis, Syafaat Suparmadi S Syafira, Shella Tengku Riza Zarzani N Tia Zulaika Aulia Pane Umbari Putri, Lia Wibowo, Gentur Wahyu Nyipto William Ramdhan Wily Julitawaty Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Yesica Siagian Yessica Siagian Yuliana, Siska Zulfi Azhar Zulika Maduri