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All Journal Jurnal Media Infotama Jurnal Teknologi Elektro JOURNAL OF SCIENCE AND SOCIAL RESEARCH JUKI : Jurnal Komputer dan Informatika GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Komputer, Informasi dan Teknologi
Eko Suryana
Universitas Dehasen Bengkulu
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Comparative Analysis of Certainty Factor Methods and Dempster Shafer Methods in Pest Management in Hydroponic Vegetables (Case Study: Celebes Hydroponics Bengkulu) Elya Handayani; Asnawati Asnawati; Eko Suryana
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.785

Abstract

Celebes Hydroponics is one of the hydroponic vegetable cultivators in Bengkulu City. At Celebes Hydroponics, there are various kinds of hydroponic vegetables grown, namely Pakcoy, Sawi, Kailan, Kale, Pagoda, Lettuce, Spinach, Kangkung, and others. So far, the handling of hydroponic vegetable pests has been carried out by employees at Celebes Hydroponics with the direction of expert cultivators (the owner of Celebes Hydroponics). However, problems occur when expert cultivators are not available when pests attack hydroponic vegetables. This makes it difficult for employees to handle these pests because so far they have always received guidance from expert cultivators. The expert system for controlling pests on hydroponic vegetables at Celebes Hydroponic Bengkulu is used to make it easier for employees to overcome problems faced by hydroponic vegetables, especially vegetable pests. This expert system was created using the Visual Basic .Net programming language which can be accessed by Celebes Hydroponic Bengkulu employees. This expert system application was created to help make it easier for employees at Celebes Hydroponics to identify pests that attack hydroponic vegetables by entering the symptoms experienced. Of course this will speed up handling when you know the pests that attack the hydroponic vegetables. Based on the tests that have been carried out, the functionality of the pest management expert system on hydroponic vegetables at Celebes Hydroponics Bengkulu runs as expected, and the application is able to display the results of pest diagnosis on hydroponic vegetables from the selected symptoms
Implementation of the Naïve Bayes Algorithm for Divorce Prediction at the Tais Religious Court Windarman Windarman; Sapri Sapri; Eko Suryana
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.924

Abstract

Divorce is the breaking up of a husband and wife relationship, because there is no match between the two. Divorce is basically the release of the bond between husband and wife. In Tais district, based on the Tais Religious Court Annual Report from 2017, 2018 and 2019 it was found that there was an increase in the divorce rate. Based on the divorce rate which continues to increase every year, it is necessary to have data in the form of data to determine the factors that influence divorce. The use of Naive Bayes is that this method only requires a small amount of training data (Training Data) to determine the parameter estimates needed in the prediction process. In this case, it is assumed that the presence or absence of a certain event from a group is not related to the presence or absence of other events. With a system to predict divorce, it can help users who want to know the prediction of divorce. Based on the tests that have been carried out using the Black Box Method, the results show that the functionality of the divorce data prediction application has run as expected and the application is able to display the prediction results of Divorce Lawsuit and Divorce Divorce
Application Of Fuzzy Logic In Umkm Recommendations Upgrade Using The Sugeno Method At The Cooperative Office Of The City Of Bengkulu Ristika Ristika; Dewi Suranti; Eko Suryana
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1489

Abstract

The application of fuzzy logic in the recommendation of MSMEs to upgrade at the Bengkulu City Cooperative Office can help provide assessment results for MSMEs based on assessment criteria so that MSMEs are obtained that are upgraded feasible or not feasible. The Sugeno method will analyze MSME assessment data by looking at the number of workers, capital, and turnover of each MSME which will then calculate the z value in each rule where there are 54 rule compositions used so that the final value for each MSME can be known. Based on the blackbox testing that has been carried out, it is found that the functionality of the MSME recommendation application for upgrading at the Bengkul City Cooperative Service runs well as expected and is able to analyze MSME assessment data through the Sugeno Fuzzy Method to determine recommendations for MSME eligibility for upgrading..
Expert System Application to Diagnose Degenerative Diseases Using Methods Certainty Factor Dwi Imansyah; Dewi Suranti; Eko Suryana
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2097

Abstract

Degenerative diseases are diseases that cause damage or destruction to body tissue or organs that arise due to a decrease in the function of one or more of the body's organs which are very susceptible to elderly people. Considering the large negative impact of degenerative diseases, it is necessary to prevent or seriously treat the dangers of degenerative complications. Efforts to minimize this danger can be made by increasing public awareness about things that can cause degenerative diseases. Therefore, we need a system that can help as an alternative to consulting a doctor for the general public. Therefore, this expert system was built using the Certainty Factor method which can be used as a solution in using an expert system to diagnose this Degenerative disease. In its application, the certainty factor method can provide a percentage level of confidence in a disease, if the user has or selects symptoms so that they can determine the type of disease they are suffering from. Based on the tests carried out, it can be concluded that this expert system application can be used by users to make an early diagnosis of degenerative diseases. This expert system can be accessed at the link www.sp_ Degenerative.com. Making it easier for users to consult.
Penerapan Metode Preference Selection Index (PSI) Dalam Pemilihan Anggota Badan Permusyawaratan Desa Kabupaten Bengkulu Selatan Nanti Kumelasri; Siswanto Siswanto; Eko Suryana
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.3996

Abstract

Abstract :This thesis is the result of research that describes how much influence the Village Consultative Body has on the people of Tanjung Tebat Village, golden flower District, South Bengkulu Regency. The Village Consultative Body is an institution that embodies democracy in administering village governance. The Village Consultative Council can be considered as the village parliament. As for the background, the writer's interest in writing this thesis is based on the results of observations and initial interviews that the writer conducted at the golden flower sub-district office, where the selection of members of the Village Consultative Council still uses manual assessment or it can be said that it is not efficient. Where the author offers a Preference Selection Index method to be used in selecting the best Village Consultative Body.In the Preferences Selection Index method, the results are obtained by minimal and simple calculations as they are based on statistical concepts without the need for attribute weights. From the calculations, it can be concluded that the best village consultative body members in the golden flower District fall into alternative A5, namely Design Women with a total value of 0.9084 which has been resolved using the Prefence Selection Prefence Selection Index method. Keywords: Election of BPD Members, Method Prefence Selection Index
Penerapan K-Nearest Neighbor Untuk Klasifikasi Tingkat Kelulusan Pada Siswa Sma Negeri 11 Kota Bengkulu Dofey Supriadi; Yupianti Yupianti; Eko Suryana
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4360

Abstract

Abstract-Bengkulu City 11 Public High School is one of the State Senior High Schools in Bengkulu City. The student's pass rate refers to the final score obtained for each subject, then calculates the average score to get the student's pass rating. So far, the school does not have an application that can help provide a predictive picture of student graduation. Where this needs to be done in order to evaluate the teaching and learning system so that students are able to face the final exam given The K-Nearest Neighbor application for classifying graduation rates for students at State Senior High School 11 Bengkulu City can help provide an informational description of the graduation rate for students at State High School 11 Bengkulu City and can provide information on the results of the classification results for high school graduation rates. State 11 City of Bengkulu. Based on the results of the tests that have been carried out, the functional application of the graduation rate classification of students at the Bengkulu City 11 State Senior High School is going well as expected.
RANCANGAN MEDIA PEMBELAJARAN BERUPA APLIKASI AUGMENTED REALITY BERBASIS ANDROID M. Adlan Al Hawari Nasution; Siswanto Siswanto; Eko Suryana
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4771

Abstract

Abstract-Augmented Reality (AR) is a technology that combines objects from the real world and virtual objects in real-time conditions. The merging of real and virtual objects occurs with the support of the right technology while the interactions that are carried out can occur using certain devices. AR is a breakthrough in the field of very sophisticated technology. Because with this technology we can make all abstract or virtual things look real or real. So that researchers apply the Waterfall Media AR Mobile Learning Method to be able to display 3D images and animations in class VIII math subjects, specifically geometric shapes including: blocks, balls, cones, cubes, pyramids, prisms, and tubes, Provides convenience for teachers to add insight into the use of AR learning media in increasing student motivation and interest in learning at SMP NEGERI 1 Bengkulu City. Provides convenience for teachers to add insight into the use of AR learning media in increasing student motivation and interest in learning at SMP NEGERI 1 Bengkulu City. Based on the results of testing the learning media application in the form of Android-based Augmented Reality application as expected based on the menu being tested.
Penerapan Metode Case Based Reasoning Dalam Deteksi Dini Penyakit Kejang Demam (Febrile Convulsions) Di Rumah Sakit Rafflesia Bengkulu Khairil Fajri NST; Khairil Khairil; Eko Suryana
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6423

Abstract

Rafflesia Bengkulu Hospital is one of the health facilities in Bengkulu City. At the Bengkulu Rafflesia Hospital, every month there are patients diagnosed with febrile convulsion (febrile convulsions), some experiencing inpatient and outpatient treatment. The application of the Case Based Reasoning Method in early detection of febrile convulsions at Rafflesia Hospital Bengkulu can be used as a forum to help patients find out the initial or early diagnosis of febrile convulsions based on the symptoms felt by the patient through web-based expert system which can be accessed online via the URL link https://sistempakarkejangdemam.my.id/ with an internet connection. Based on 3 (three) cases tested on the expert system for early detection of febrile convulsions at Rafflesia Hospital Bengkulu, it was concluded that the expert system application was able to detect early febrile convulsions according to the symptoms that had been selected. Based on the system testing that has been carried out, it can be concluded that the functional application of the Case Based Reasoning Method in early detection of febrile convulsions at Rafflesia Hospital Bengkulu has been running well and can provide consultation results based on symptoms that have been answered by the community through stages of the Case Based Reasoning (CBR) method.
Penerapan Metode K-Means Clustering Dalam Pengelompokan Data Pasien Rawat Inap Peserta BPJS Di Rumah Sakit Umum Daerah Kabupaten Kaur Faizal Shepyantoni; Indra Kanedi; Eko Suryana
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6458

Abstract

The Kaur Regency Regional General Hospital is one of the health institutions where the majority of patients are members of the Social Security Administering Agency for Health. The problem with data management is that it is still done manually, where the data is captured and written in books, so that the goal is to make it difficult for hospital management to make decisions related to optimal service for patients, as well as the lack of information obtained by the hospital regarding information on the diseases most frequently suffered by hospitalized patients. inpatients, especially patients participating in the Social Security Administration. Applying the K-Means Clustering Method in grouping data on inpatients participating in the Social Security Administering Agency at the Kaur Regency Regional General Hospital can find out information on the results of grouping data on inpatients participating in the Social Security Administering Agency which is divided into 2 groups, namely few and many based on age, gender and class level of the Social Security Administering Body, and can also help evaluate data on the most and least inpatients at the Kaur Regency Regional General Hospital based on grouping results by looking at age, gender and class level of the Social Security Administering Body and the patient's illness. . Based on the results of testing on 30 data on inpatients participating in the Social Security Administration, grouping results were obtained, namely Cluster I with 20 patients and Cluster II with 10 patients. Where Cluster I (a lot of treatment) is dominated by women in the age group 40 – 59 years and the Social Security Administering Body class level III with Type 2 DM. Meanwhile, Cluster II (a little treatment) is dominated by men who are in the age group 20 – 39 years and Social Security Administering Agency level III class with dyspepsia syndrome and gero
Implementasi Metode Certainty Factor Dalam Mendeteksi Hama Dan Penyakit Pada Jamur Tiram Putih Nia Ade Do; Dewi Suranti; Eko Suryana
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6570

Abstract

White oyster mushroom (Pleurotus ostreatus) is a type of mushroom that is semicircular in its hood so that it is similar to an oyster shell with a slightly concave center. In the oyster mushroom cultivation business, it is not free from the risk of losses that arise if the cultivator is not diligent and careful in maintaining oyster mushrooms. New cultivators have difficulty identifying pests or pests that attack oyster mushroom plants so that the prevention that will be carried out in handling the maintenance process of oyster mushroom plants is less precise. The implementation of certainty factor method in detecting pests and diseases in white oyster mushrooms at Rafflesia Mushrooms can make it easy to find out information and procedures for dealing with pests and diseases in White Oyster Mushrooms by entering the symptoms experienced by the white oyster mushroom. The application of the implementation of certainty factor method in detecting pests and diseases in white oyster mushrooms at Rafflesia Mushrooms is made using PHP programming language and MySQL database, which can be accessed online via the link http://hamapenyakitjamurtiramputih.my.id. To determine the level of confidence in the symptoms felt against pests and diseases of white oyster mushrooms based on the user's CF value and the expert's CF value. Based on the black box method testing that has been carried out, it can be concluded that the functional of the application has run well and can provide consultation results on diagnosing pests or diseases experienced by white oyster mushrooms based on symptoms that have been selected by the user through Certainty Factor method stage.
Co-Authors Achras Zapota Alrahim Afrio Royzen Agri Ayu Dewani Agung Pradana Agung Pradana Iskandar Andre Gustiawan Asnawati Asnawati Candra Alexander Desi Mahdalena Devi Sartika Dewi Suranti Dhanu Prima Jaya Dofey Supriadi Doni Johan Gultom Dwi Imansyah Elya Handayani Epan Susandi Faizal Shepyantoni Febrianto Febrianto Feri Hari Utami Hari Aspriyono Herlina Latipa Sari Iqbal Rahmat Adha Irvan Ciantury Jusuf Wahyudi Kanedi, Indra Kanedi Khairil Fajri NST Khairil Khairil Lena Elfianty Liza Yulianti M. Adlan Al Hawari Nasution Maryanigsih Maryanigsih Nanda Eka Juniawan Nanti Kumelasri Nia Ade DO Prahasti Refki Iqromullah Rendis Rendis Reski Wahyu Illahi Ristika Ristika Rita Nilawati Safrawi Waruwu Samsuri Ridwan Sapri Sapri Shella Arsinta Fitri Siswanto Siswanto Suaihera Rahma Yunia Thoibah Umi Kalsum Triza Randes Syafutra Venny Nopitasari Windarman Windarman Yanolanda Suzantry Handayani Yoli Andi Rozzi Yupianti, Yupianti Zuryanto Zuryanto