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<![CDATA[Sosialisasi Teknologi Metaverse Bagi Peningkatan Keterampilan Siswa Kejuruan Pada SMK Negeri 3 Seluma ]]>
<![CDATA[Suryana, Eko]]>;
<![CDATA[Wahyudi, Jusuf]]>;
<![CDATA[Elfianty, Lena]]>;
<![CDATA[Maryaningsih, Maryaningsih]]>;
<![CDATA[Sundari, Siti]]>;
<![CDATA[Ariantara, Yudi]]>
<![CDATA[ Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli ]]>
Publisher : <![CDATA[Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jdun.v3i2.6078
<![CDATA[Sekolah Menengah Kejuruan Negeri (SMK N) 3 Kabupaten Seluma yang berada di jalan lintas Bengkulu – Tais merupakan sekolah yang telah banyak memperoleh prestasi sebagai sekolah kejuruan terbaik tingkat kabupaten dan telah terakreditasi A. Selain itu SMKN 3 Seluma ini telah berani mencanangkan sebagai sekolah unggulan yang patut menjadi contoh bagi sekolah-sekolah menengah kejuruan lainnya. Kelanjutan dari Analisis Situasi di atas, melakukan identifikasi permasalahan yang ada pada SMKN 3 Seluma, baik permasalahan eksternal seperti kondisi geografis, jarak tempuh; juga dilakukan identifikasi permasalahan yang utama, yakni jumlah siswa, bidang kejuruan yang yang diselenggarakan, kepadatan peserta didik per bidang kejuruan, rasio guru dengan siswa serta dengan pertimbangan unsur penunjang lainnya. Kegiatan pengabdian kepada masyarakat yang terkonsentrasi pada masyarakat pendidikan ini khususnya di SMKN 3 Seluma adalah penyampaian berbagai pengetahuan dan teknologi bidang teknologi informasi dengan harapan dapat mengecilkan kesenjangan pengetahuan masyarakat bidang teknologi informasi seperti Metaverse yang dalam istilah sehari-hari jangan sampai banyak siswa gaptek (gagap teknologi) agar dapat lebih berperan dalam persaingan dunia di luar dinding sekolah. Teknologi Metaverse adalah teknologi masa kini ruang tiga dimensi yang menggabungkan dunia realitas dan dunia digital yang canggih. Metaverse merupakan ruang virtual di mana semua orang dari seluruh dunia dapat berkumpul, berkomunikasi serta berinteraksi satu sama lainnya menggunakan teknologi VR (Virtual Reality) dan AR (Augmented Reality). Pembahasan pada studi penelitian ini mencakup tantangan dan dampak Metaverse terhadap dunia pendidikan.]]>
<![CDATA[Penerapan Metode Case Based Reasoning Dalam Deteksi Dini Penyakit Kejang Demam (Febrile Convulsions) Di Rumah Sakit Rafflesia Bengkulu ]]>
<![CDATA[NST, Khairil Fajri]]>;
<![CDATA[Khairil, Khairil]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Infotama Vol 20 No 2 (2024): Oktober ]]>
Publisher : <![CDATA[UNIVED Press ]]>
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DOI: 10.37676/jmi.v20i2.6423
<![CDATA[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.]]>
<![CDATA[Penerapan Metode K-Means Clustering Dalam Pengelompokan Data Pasien Rawat Inap Peserta BPJS Di Rumah Sakit Umum Daerah Kabupaten Kaur ]]>
<![CDATA[Shepyantoni, Faizal]]>;
<![CDATA[Kanedi, Indra]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Infotama Vol 20 No 2 (2024): Oktober ]]>
Publisher : <![CDATA[UNIVED Press ]]>
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DOI: 10.37676/jmi.v20i2.6458
<![CDATA[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]]>
<![CDATA[Implementasi Metode Certainty Factor Dalam Mendeteksi Hama Dan Penyakit Pada Jamur Tiram Putih ]]>
<![CDATA[Do, Nia Ade]]>;
<![CDATA[Suranti, Dewi]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Infotama Vol 20 No 2 (2024): Oktober ]]>
Publisher : <![CDATA[UNIVED Press ]]>
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DOI: 10.37676/jmi.v20i2.6570
<![CDATA[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.]]>
<![CDATA[SISTEM PAKAR MINAT SISWA MENGIKUTI KOMPETISI SAINS MADRASAH DI MTSN 1 BENGKULU TENGAH ]]>
<![CDATA[AS, Yoga Utama]]>;
<![CDATA[Asnawati, Asnawati]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025 ]]>
Publisher : <![CDATA[Smart Education ]]>
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DOI: 10.54314/jssr.v8i1.2602
<![CDATA[Lomba sains merupakan salah satu usaha untuk meningkatkan kualitas para siswa melalui perlombaan yang diharapkan ada siswa unggulan yang bisa membuat penemuan baru untuk kemajuan sains di Indonesia. Untuk mengetahui keunggulan serta minat dari siswa-siswa Madrasah Tsanawiyah Negeri 1 Bengkulu Tengah sering melakukan perlombaan di bidang Sains, namun yang biasanya digunakan untuk menentukan kelayakan siswa/siswi mengikuti lomba sains yaitu dengan melihat nilai raport saja tidak cukup karena banyak siswa/siswi yang memiliki nilai raport yang sama sehingga sangat susah menentukan siswa/siswi tersebut sebagai peserta lomba sains. Ciri-ciri tersebut diberikan oleh pihak sekolah yang nantinya akan diterukan ke panita pemilihan peserta lomba saint untuk diseleksi.. Oleh karena itu dibangun Sistem pakar ini menggunakan metode Certainty Factor yang dapat dijadikan solusi untuk mengentukan minat siswa agar memberikan kemudahan guru dalam menentukan kelompokan pada lomba Sains. Berdasarkan pengujian yang dilakukan dapat disimpulkan bahwa aplikasi sistem pakar ini dapat digunakan oleh pengguna untuk menentukan minat siswa, sehingga memudahkan pengguna untuk melakukan analisis. Kata kunci: Expert Systems, Certainty Factor, Student Interests]]>
<![CDATA[PREDIKSI PENJUALAN BARANG MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING PADA DUO SISTER HIJAB BENGKULU ]]>
<![CDATA[Shobori, Ihsan]]>;
<![CDATA[Khairil, Khairil]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024 ]]>
Publisher : <![CDATA[Smart Education ]]>
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DOI: 10.54314/jssr.v7i4.2184
<![CDATA[Duo Sister Hijab merupakan salah satu Rumah Produksi Hijab di Kota Bengkulu yang menjual berbagai jenis hijab, aksesoris hijab dan keperluan hijab. Selama ini setiap penjualan pada Duo Sister Hijab dilakukan dengan pencatatan ke dalam pembukuan terlebih dahulu dan konsumen mendapatkan nota penjualan, kemudian setiap akhir bulan dilakukan rekapitulasi penjualan setiap barang menggunakan paket aplikasi office. Selain itu pemilik Duo Sister Hijab melakukan pengecekan rutin dengan melihat sisa persediaan satu persatu, tentunya hal ini membutuhkan waktu yang cukup lama dan membuat pihak toko kesulitan dalam menentukan jumlah barang yang harus diproduksi, karena tidak melihat data penjualan yang terjadi selama beberapa bulan sebelumnya. Prediksi penjualan barang menggunakan Metode Single Exponential Smoothing Pada Duo Sister Hijab Bengkulu dapat mempermudah dalam mendapatkan informasi prediksi penjualan barang untuk bulan dan tahun berikutnya, serta dapat dijadikan alternatif dalam memanajemen persediaan barang di Duo Sister Hijab Bengkulu berdasarkan hasil prediksi penjualan barang pada bulan berikutnya. Berdasarkan hasil prediksi penjualan barang bella square menggunakan nilai α bobot 0,1 sampai dengan 0,9 dapat disimpulkan bahwa nilai prediksi penjualan untuk Bulan Januari Tahun 2024 yaitu berkisar antara 68 sampai dengan 70pcs. Berdasarkan pengujian terhadap pada aplikasi prediksi penjualan barang menggunakan Metode Single Exponential Smoothing Pada Duo Sister Hijab Bengkulu diperoleh bahwa fungsionalitas dari aplikasi berjalan sesuai dengan harapan, dan mampu menampilkan hasil prediksi penjualan barang untuk bulan dan tahun berikutnya melalui Metode Single Exponential Smoothing.]]>
<![CDATA[Cataract Disease Diagnostic Expert System Using Forward Chaining Method ]]>
<![CDATA[Firnando, Delvin]]>;
<![CDATA[Asnawati, Asnawati]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Computer Science Vol 2 No 1 (2023): Januari ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jmcs.v2i1.3343
<![CDATA[Cataracts are a disease when the lens of the eye becomes cloudy and cloudy. In general, cataracts develop slowly and are not bothersome at first. However, over time, cataracts will interfere with vision and make the sufferer feel like seeing a foggy window, making it difficult to drive, read, and carry out daily activities. The expert system for diagnosing cataracts at Rafflesia Hospital Bengkulu was created to assist in diagnosing cataract patients by entering the symptoms experienced by the patient. In the process of diagnosing the expert system, a method has been applied as an inference engine that makes it easier to find out the results of the diagnosis, this method is Forward Chaining. Based on the results of the tests that have been carried out, the functionality of the expert system for diagnosing cataracts at Rafflesia Bengkulu Hospital has been running well as expected and can provide information on the results of consultations to determine cataracts.]]>
<![CDATA[Expert System For Diagnosing Eardrum (Tympanic Membrane) Diseases Using Certainty Factor Method ]]>
<![CDATA[Jayanda, Prengky]]>;
<![CDATA[Yulianti, Liza]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Computer Science Vol 4 No 2 (2025): Juli ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jmcs.v4i2.8413
<![CDATA[Dr. M. Yunus Regional General Hospital Bengkulu is one of the hospitals in Bengkulu City that provides health service facilities. The current problem at the M. Yunus Regional General Hospital is the limited time available at the ENT Polyclinic and the delay in examining eardrum disease. So patients must go directly to the ENT Specialist Doctor who treats eardrum disease. The limited time of the Specialist Doctor who treats eardrum disease at the Hospital is also one of the causes of the delay in handling patients with eardrum disease. The expert system for diagnosing eardrum disease (tympanic membrane) using the certainty factor method at the M Yunus Regional General Hospital, Bengkulu City can be used as a container to help determine the diagnosis of eardrum disease based on the symptoms felt, and can make it easier for users to consult online via the link https://spakarmembrantimpanicf.site/. The expert system for diagnosing eardrum disease (tympanic membrane) using the certainty factor method at the M Yunus Regional General Hospital, Bengkulu City was created using the PHP programming language and MySQL database, which can be accessed online. Based on the black box method testing that has been carried out, it can be concluded that the functionality of the application has run well and this expert system can provide consultation results for the diagnosis of eardrum disease (tympanic membrane) through the Certainty Factor method stages based on the symptoms selected by the user during the consultation. Based on the alpha testing method testing that has been carried out, it can be concluded that this expert system is quite helpful for users in consultations and provides early detection information for the diagnosis of eardrum disease from the symptoms felt.]]>
<![CDATA[Analisis Kecerdasan Majemuk dalam Pembelajaran Pendidikan Jasmani pada Peserta Didik Sekolah Dasar ]]>
<![CDATA[Suryana, Eko]]>
<![CDATA[ Karimah Tauhid Vol. 4 No. 7 (2025): Karimah Tauhid ]]>
Publisher : <![CDATA[Universitas Djuanda ]]>
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DOI: 10.30997/karimahtauhid.v4i6.19456
<![CDATA[Penelitian ini membahas analisis kecerdasan majemuk dalam pembelajaran Pendidikan jasmani pada peserta didik sekolah dasar dengan pendekatn kualitatif. Analisis kecerdasan majemuk membantu guru dan peserta didik dalam meningkatkan kualitas pembelajaran. Penelitian ini menganalisis cara belajar dan mengajar pada pembelajaran Pendidikan jasmani dengan mengamati, wawancara dan dokumentasi proses pembelajaran baik di dalam kelas maupun di lapangan. Hasil penelitian menunjukkan bahwa analisis kecerdasan majemuk dalam pembelajaran Pendidikan jasmani dapat meningkatkan partisipasi dan pencapaian materi setiap peserta didik. Selain itu, teknik ini juga menyajikan pembelajaran Pendidikan jasmani yang sesuai bagi setiap kecerdasan dominan peserta didik sehingga pembelajaran menjadi lebih bermakna dan menyenangkan. Kesimpulan penelitian ini adalah melalui analisis kecerdasan majemuk dalam pembelajaran Pendidikan jasmani dapat tercipta pembelajaran yang sesuai dengan kecerdasan dominan setiap peserta didik sehingga meningkatkan kualitas pembelajaran.]]>
<![CDATA[Decision Support System for Prioritising the Use of Village Funds in Improving Local Infrastructure Using the Analytic Hierarchy Process (AHP) Method ]]>
<![CDATA[Rizqi, Alif Faiq]]>;
<![CDATA[Aspriyono, Hari]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Computer Science Vol 4 No 2 (2025): Juli ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jmcs.v4i2.8799
<![CDATA[This study discusses the development of a Decision Support System (DSS) to assist the Karya Bakti Village government in determining priorities for the use of Village Funds for local infrastructure development. The background of this research stems from a common problem in villages, namely suboptimal fund allocation due to subjective and conventional decision-making processes. The objective of this research is to design a DSS based on the Analytic Hierarchy Process (AHP) method so that decision-making becomes more objective, measurable, and in line with the urgent needs of the community. The benefits of this research are expected to assist the village in determining infrastructure development priorities and serve as a scientific reference for academics or researchers in similar fields. The results of this research are a web-based system that has been successfully developed and tested using the black box method, with all features functioning as intended. This system facilitates the comparison process between criteria and infrastructure project alternatives using AHP, and produces clearer and more measurable development priorities. In conclusion, the application of this DSS has proven effective in improving transparency and efficiency in decision-making at the village level, and has the potential to be applied to other villages with adjustments to local characteristics.]]>
