Open Journal System (OJS) Universitas Bengkulu
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Penerapan Metode Dempster Shafer Pada Sistem Pakar Identifikasi Hama Tanaman Buah Naga Merah
Get PDFRed dragon fruit is a type of fruit that has bioactive components such as flavonoids, phenolics, betacyanins and anthocyanins. Red dragon fruit has a distinctive combination of flavors, namely sweet, sour and refreshingly savory. Apart from that, red dragon fruit also has several health benefits so this fruit is liked by many people. However, a lack of knowledge in maintaining red dragon fruit from pest attacks can cause the growth of red dragon fruit to be less than optimal and result in crop failure. Therefore, an expert system for identifying red dragon fruit pests is needed to minimize the risk of crop failure. The use of an expert system in identifying red dragon fruit pests by applying the Dempster Shafer method can determine the appropriate treatment thereby reducing the percentage of crop failure. The Dempster Shafer method is used to determine the level of certainty of a symptom and provide an accurate level of confidence. The results of this expert system test show that the identification results are close to the truth from an expert using 9 types of pests and 24 symptoms. The resulting accuracy level has a percentage of 100%.
Keywords: Red Dragon Fruit, Expert System, Dempster Shafer MethodBuah naga merah merupakan salah satu jenis buah yang memiliki komponen bioaktif seperti flavonoid, fenolik, betasianin, dan antosianin Buah naga merah memiliki kombinasi rasa yang khas yaitu manis, asam, dan gurih menyegarkan. Selain itu buah naga merah juga memiliki beberapa manfaat untuk kesehatan sehingga buah ini disukai banyak orang. Akan tetapi kurangnya pengetahuan dalam pemeliharaan buah naga merah dari serangan hama dapat menyebabkan pertumbuhan buah naga merah yang kurang maksimal dan mengalami gagal panen. Maka dari itu dibutuhkan sebuah sistem pakar identifikasi hama buah naga merah untuk meminimalisir resiko gagal panen. Penggunaan sistem pakar dalam identifikasi hama buah naga merah dengan menerapkan metode Dempster Shafer dapat mengetahui penanganan yang tepat sehingga mengurangi presentase gagal panen. Metode Dempster Shafer digunakan untuk mengetahui tingkat kepastian dari suatu gejala dan memberikan tingkat kepercayaan yang akurat. Hasil uji sistem kepakaran ini menunjukkan bahwa hasil identifikasi mendekati kebenaran dari seorang pakar dengan menggunakan 9 jenis hama dan 24 gejala. Tingkat akurasi yang dihasilkan memiliki presentase sebesar 100%.
Kata Kunci: Buah Naga Merah, Sistem Pakar, Metode Dempster Shafe
Perbandingan Kinerja Algoritma Naive Bayes dan K-Nearest Neighbor dalam Menganalisis Sentimen Pengguna Game Free Fire
Get PDFFree Fire is one of the most popular online games in Indonesia, yet it continues to receive a wide range of user reviews regarding gameplay experiences. These reviews reflect diverse user perceptions, including both praise and criticism, making sentiment analysis essential to understanding user satisfaction. This study aims to classify user sentiments toward Free Fire using a combined dataset collected from the Google Play Store and App Store, and to compare the performance of two text classification algorithms: Naive Bayes and K-Nearest Neighbor (KNN). The data were collected using web scraping techniques and manually labeled by expert validators. Text preprocessing involved cleansing, tokenizing, stopword removal, and stemming, followed by term weighting using the Term Frequency-Inverse Document Frequency (TF-IDF) method. The experimental results show that the Naive Bayes algorithm achieved the highest accuracy of 72.78%, while the KNN algorithm recorded a maximum accuracy of 45.91%. Based on these findings, Naive Bayes is proven to be more effective in classifying user sentiments related to Free Fire. The results of this study are expected to provide constructive insights for developers to improve the quality and user experience of the game.Free Fire adalah salah satu game online terpopuler di Indonesia, namun terus menerima beragam ulasan pengguna terkait pengalaman bermain game. Ulasan-ulasan ini mencerminkan beragam persepsi pengguna, termasuk pujian dan kritik, sehingga analisis sentimen menjadi penting untuk memahami kepuasan pengguna. Penelitian ini bertujuan untuk mengklasifikasikan sentimen pengguna terhadap Free Fire menggunakan kumpulan data gabungan yang dikumpulkan dari Google Play Store dan App Store, serta membandingkan kinerja dua algoritma klasifikasi teks: Naive Bayes dan K-Nearest Neighbor (KNN). Data dikumpulkan menggunakan teknik web scraping dan diberi label secara manual oleh validator ahli. Prapemrosesan teks meliputi pembersihan, tokenisasi, penghapusan stopword, dan stemming, diikuti dengan pembobotan istilah menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF). Hasil eksperimen menunjukkan bahwa algoritma Naive Bayes mencapai akurasi tertinggi sebesar 72,78%, sedangkan algoritma KNN mencatat akurasi maksimum sebesar 45,91%. Berdasarkan temuan ini, Naive Bayes terbukti lebih efektif dalam mengklasifikasikan sentimen pengguna terkait Free Fire. Hasil penelitian ini diharapkan dapat memberikan wawasan yang konstruktif bagi pengembang untuk meningkatkan kualitas dan pengalaman pengguna game
Implementasi YOLOv11 Untuk Deteksi Penyakit Tanaman Padi Berdasarkan Citra Daun
Get PDFRice (Oryza sativa) is a strategic commodity for food security in Indonesia, yet it is highly vulnerable to diseases such as bacterial leaf blight (blight), blast, and tungro, which can significantly reduce productivity. Early detection of these diseases through manual observation by farmers is often inaccurate and slow. This study aims to implement the YOLOv11 algorithm, a deep learning-based approach, to detect rice plant diseases from leaf images with high accuracy. The research method follows the CRISP-DM (Cross Industry Standard Process for Data Mining) framework, encompassing business understanding, data collection, data preparation, modeling, and evaluation. The dataset consists of 500 rice leaf images classified into three disease categories. The data was processed through augmentation and resizing to balance class distribution and standardize image dimensions. The YOLOv11 model was trained with parameters set at 100 epochs, an image size of 224x224 pixels, and a batch size of 32. Evaluation results demonstrate that the model achieved 95% accuracy, with average precision and recall exceeding 95%. The confusion matrix revealed excellent classification performance, particularly for tungro disease (100% accuracy). The model also proved efficient in prediction, with an inference time of 8.2 milliseconds per image. In conclusion, this research confirms the effectiveness of YOLOv11 for rice disease detection based on leaf images. Recommendations for future development include expanding dataset diversity, integrating the model into mobile applications, and conducting field tests to validate real-world performance.
Keywords: YOLOv11, rice disease detection, deep learning, leaf image, computer vision.Padi (Oryza sativa) merupakan komoditas strategis bagi ketahanan pangan di Indonesia, namun rentan terhadap serangan penyakit seperti hawar daun bakteri (blight), blast, dan tungro, yang dapat menurunkan produktivitas secara signifikan. Deteksi dini penyakit ini secara manual oleh petani seringkali tidak akurat dan lambat. Penelitian ini bertujuan mengimplementasikan algoritma YOLOv11 berbasis deep learning untuk mendeteksi penyakit tanaman padi berdasarkan citra daun dengan akurasi tinggi. Metode penelitian mengikuti kerangka CRISP-DM (Cross Industry Standard Process for Data Mining), dimulai dari pemahaman bisnis, pengumpulan data, persiapan data, pemodelan, hingga evaluasi. Dataset terdiri dari 500 citra daun padi yang diklasifikasikan ke dalam tiga kelas penyakit. Data diproses melalui augmentasi dan resizing untuk menyeimbangkan distribusi kelas dan menyeragamkan ukuran gambar. Model YOLOv11 dilatih dengan parameter 100 epochs, ukuran gambar 224x224 piksel, dan batch size 32. Hasil evaluasi menunjukkan model mencapai akurasi 95% dengan precision dan recall rata-rata di atas 95%. Confusion matrix mengungkapkan kemampuan klasifikasi yang sangat baik, terutama untuk penyakit tungro (100% akurasi). Model juga efisien dalam melakukan prediksi dengan waktu inferensi 8.2 milidetik per gambar. Kesimpulan penelitian ini membuktikan bahwa YOLOv11 efektif untuk deteksi penyakit padi berbasis citra daun. Saran untuk pengembangan selanjutnya meliputi penambahan variasi data, integrasi ke aplikasi mobile, dan pengujian lapangan untuk validasi kinerja di kondisi nyata.
Kata Kunci: YOLOv11, deteksi penyakit padi, deep learning, citra daun, computer vision
theresia KEANEKARAGAMAN SPESIES DAN STATUS KONSERVASI HIU (Elasmobranch) DI TARAKAN: IMPLIKASI UNTUK PENGELOLAAN BERKELANJUTAN BERBASIS BLUE ECONOMY
No full textGlobal shark populations have declined drastically due to intense fishing pressure, including in Tarakan, North Kalimantan—a key landing area with limited data on species diversity and conservation status. This issue is exacerbated by the use of non-selective fishing gear such as mini trawls, which result in significant shark bycatch. This study aims to identify shark species caught as bycatch and assess their conservation status. Data were collected from March to May 2025 through field observation and morphological identification. Five shark species were recorded: Chiloscyllium plagiosum, Chiloscyllium punctatum, Hemigaleus microstoma, Sphyrna lewini, and Rhynchobatus austraiae, totaling 145 individuals. The Shannon-Wiener diversity index (H' = 1.35) indicates moderate diversity, with S. lewini being the most dominant. According to the IUCN Red List, two species are Critically Endangered (CR), one Vulnerable (VU), one Near Threatened (NT), and one Least Concern (LC). These findings highlight Tarakan waters as a critical habitat for threatened shark species and emphasize the urgent need for sustainable fisheries management based on blue economy principles, including bycatch reduction, fisher education, and development of conservation-based economic alternatives.
Keywords: sharks, bycatch, conservation status, Tarakan, blue economy
Populasi hiu global mengalami penurunan drastis akibat tekanan penangkapan yang tinggi, termasuk di wilayah Tarakan, Kalimantan Utara, yang menjadi lokasi pendaratan penting namun minim data keanekaragaman dan status konservasinya. Permasalahan ini diperburuk oleh penggunaan alat tangkap tidak selektif seperti pukat hela yang menghasilkan tangkapan sampingan (bycatch) spesies hiu. Penelitian ini bertujuan untuk mengidentifikasi spesies hiu hasil tangkapan bycatch serta menilai status konservasinya. Data dikumpulkan selama Maret–Mei 2025 melalui observasi lapangan dan identifikasi morfologi. Hasil menunjukkan lima spesies hiu tertangkap, yaitu Chiloscyllium plagiosum, Chiloscyllium punctatum, Hemigaleus microstoma, Sphyrna lewini, dan Rhynchobatus austraiae, dengan total 145 individu. Indeks keanekaragaman Shannon-Wiener sebesar H' = 1,35 mengindikasikan keanekaragaman sedang, dengan S. lewini sebagai spesies dominan. Berdasarkan IUCN, dua spesies berstatus Critically Endangered (CR), satu Vulnerable (VU), satu Near Threatened (NT), dan satu Least Concern (LC). Temuan ini menegaskan pentingnya perairan Tarakan sebagai habitat hiu yang terancam serta perlunya pengelolaan perikanan berkelanjutan berbasis prinsip blue economy, termasuk pengurangan bycatch, edukasi nelayan, dan pengembangan alternatif ekonomi berbasis konservasi.
 
HEALING FOREST AREA POTENTIAL ON THE MAIN CAMPUS OF THE UNIVERSITY OF BENGKULU
No full text
ABSTRACT
The prevalence of mental health problems among urban dwellers is triggered mainly by increased urbanisation and the pressures of modern life. One solution that is now widely considered is the development of healing forests, which are green areas that serve as natural therapeutic spaces for mental and physical health. The University of Bengkulu's main campus, situated in a lush green area, has excellent potential to develop a healing forest. This study aims to analyse the potential for developing a healing forest on the Main Campus of the University of Bengkulu, including identifying suitable areas, analysing the benefits that can be generated, and recommending sustainable management and environmental conservation strategies. Through a qualitative descriptive approach, data were collected through direct observation, interviews with relevant parties, and literature review. The results showed that, after evaluation, the location that qualifies as a healing forest is only in zone 2, specifically at the point where the green area around the UNIB Rectorate is located. However, other places have the potential to be developed into a healing forest. Based on an analysis of visitors' perceptions and preferences, it is suggested that each location has the potential to be a healing forest, with several recommendations provided. Developing a healing forest on this campus is expected to be a strategic step in creating an environment that supports the psychological well-being of the academic community and provides broader ecological benefits.
Keywords: Healing forest, green area, nature therapy, mental health, University of BengkuluABSTRACT
The prevalence of mental health problems among urban dwellers is triggered mainly by increased urbanisation and the pressures of modern life. One solution that is now widely considered is the development of healing forests, which are green areas that serve as natural therapeutic spaces for mental and physical health. The University of Bengkulu's main campus, situated in a lush green area, has excellent potential to develop a healing forest. This study aims to analyse the potential for developing a healing forest on the Main Campus of the University of Bengkulu, including identifying suitable areas, analysing the benefits that can be generated, and recommending sustainable management and environmental conservation strategies. Through a qualitative descriptive approach, data were collected through direct observation, interviews with relevant parties, and literature review. The results showed that, after evaluation, the location that qualifies as a healing forest is only in zone 2, specifically at the point where the green area around the UNIB Rectorate is located. However, other places have the potential to be developed into a healing forest. Based on an analysis of visitors' perceptions and preferences, it is suggested that each location has the potential to be a healing forest, with several recommendations provided. Developing a healing forest on this campus is expected to be a strategic step in creating an environment that supports the psychological well-being of the academic community and provides broader ecological benefits.
Keywords: Healing forest, green area, nature therapy, mental health, University of Bengkul
a Efektivitas Limbah Bonggol Nanas (Ananas comosus) Sebagai Bahan Antibakteri : Indonesia
No full textThe pineapple core has not been utilized optimally, despite containing several active components, one of which is the bromelain enzyme. Bromelain exhibits antibacterial properties. The objective of this study was to determine whether pineapple core extract (Ananas comosus (L.) Merr) is effective in inhibiting the growth of Escherichia coli bacteria. The study employed the disk diffusion test method to measure the clear zone around the blank disk vertically and horizontally using a Vernier caliper with units in millimeters (mm). The treatment was conducted three times with different concentrations, an incubation time of 1 x 24 hours, and a temperature of 37°C. The concentrations tested were 20%, 40%, 60%, and 100%, with ciprofloxacin as the positive control (+). The results of this study showed that a concentration of 20% produced an average inhibition zone of 7.8 mm, 40% produced an average inhibition zone of 18 mm, 60% produced an average inhibition zone of 21 mm, 80% produced an average inhibition zone of 22 mm, and 100% produced an average inhibition zone of 24 mm.The pineapple core has not been utilized optimally, despite containing several active components, one of which is the bromelain enzyme. Bromelain exhibits antibacterial properties. The objective of this study was to determine whether pineapple core extract (Ananas comosus (L.) Merr) is effective in inhibiting the growth of Escherichia coli bacteria. The study employed the disk diffusion test method to measure the clear zone around the blank disk vertically and horizontally using a Vernier caliper with units in millimeters (mm). The treatment was conducted three times with different concentrations, an incubation time of 1 x 24 hours, and a temperature of 37°C. The concentrations tested were 20%, 40%, 60%, and 100%, with ciprofloxacin as the positive control (+). The results of this study showed that a concentration of 20% produced an average inhibition zone of 7.8 mm, 40% produced an average inhibition zone of 18 mm, 60% produced an average inhibition zone of 21 mm, 80% produced an average inhibition zone of 22 mm, and 100% produced an average inhibition zone of 24 mm
Analisis Pengaruh Person-Organization Fit dan Person-Job fit terhadap Kinerja Karyawan
Get PDFPerson-Organization fit has provided a deep understanding of increasing the fit between employees and the organization, retaining employees in the long term by increasing employee satisfaction and commitment to the company, as well as improving individual outcomes which have implications for sustainable strategic growth for an organization. Individual-job fit (person-job fit) is a job specification process as an effort to help identify individual employee competencies needed to obtain success, such as knowledge, abilities, skills and other factors that can refer to obtaining superior performance, therefore variables This is very important for the company to pay attention to. This study aims to analyze the effect of person-organization fit and person-job fit on employee performance in companies in Yogyakarta. The sample in this study are employees who work for organizations/companies in the Special Region of Yogyakarta. This study uses primary data. The sampling technique in this study used purposive sampling. A total of 93 respondents participated in this study. The data collection tool used in this study was a questionnaire distributed online. The data in this study were processed using SPSS with multiple linear regression analysis methods. The results of this study indicate that there is a significant positive effect of person-organization fit and person-job fit on employee performance.
Keywords: Person-Organization Fit, Person-Job Fit, Employee PerformancePerson-Organization fit telah memberikan pengertian yang mendalam tentang meningkatkan kesesuaian antara karyawan dengan organisasi, mempertahankan karyawan dalam jangka panjang dengan meningkatkan kepuasan dan komitmen karyawan terhadap perusahaan, serta meningkatkan outcomes individu yang berimplikasi pada pertumbuhan strategis berkelanjutan bagi sebuah organisasi. Kesesuaian individu-pekerjaan (person-job fit) merupakan proses spesifikasi pekerjaan sebagai upaya untuk membantu mengidentifikasikan kompetensi individual karyawan yang dibutuhkan untuk memperoleh kesuksesan, seperti pengetahuan, kemampuan, keahlian dan faktor lain yang dapat mengacu pada pemerolehan kinerja yang superior, oleh karena itu variabel ini sangat penting diperhatikan oleh perusahaan. Penelitian ini bertujuan menganalisis pengaruh person-organizatioon fit dan person-job fit terhadap kinerja karyawan pada perusahaan di Yogyakarta. Sampel dalam penelitian ini adalah karyawan yang bekerja pada organisasi/perusahaan di Daerah Istimewa Yogyakarta. Penelitian ini menggunakan data primer. Teknik pengambilan sampel dalam penelitian ini menggunakan purposive sampling. Sebanyak 93 responden berpartisipasi dalam penelitian ini. Alat pengumpulan data yang digunakan dalam penelitian ini adalah berupa kuesioner yang didistribusikan secara online. Data dalam penelitian ini diolah menggunakan SPSS dengan metode analisis regresi linear berganda. Hasil penelitian ini menunjukan adanya pengaruh positif signifikan person-organization fit dan person-job fit terhadap kinerja karyawan.
Kata Kunci : Person-Organization Fit, Person-Job Fit, Kinerja Karyawa
Analisis Kelayakan Finansial dan Tahapan Business Life Cycle Usaha Peternakan Ayam Broiler Sun Farm
No full textSun Farm broiler farm is a broiler operation using a close-house, cage-type system that implements an all-in-all-out production model with a large broiler capacity. This study aims to: 1) analyze the amount of costs, revenue and income in the Sun Farm broiler farm business, 2) analyze the financial feasibility of the Sun Farm broiler farm business, and 3) analyze the stages of the business life cycle in the Sun Farm broiler farm business. This study was conducted at Sun Farm, a broiler farm that operates a closed-house cage system and an all-in-all-out production method, to provide a comprehensive understanding of its financial performance and business life cycle. Purposive sampling was employed to ensure that the selected location and informants were highly relevant to the research objectives, thereby facilitating the collection of accurate and meaningful data. Five informants were carefully selected based on specific criteria, and data were gathered using a combination of questionnaires, interviews, and documentation to capture both quantitative and qualitative aspects of the business. The analysis focused on three main objectives: first, to assess the costs, revenue, and income of the Sun Farm broiler business; second, to evaluate the financial feasibility using indicators such as Net Present Value (Rp 1,408,592,651), Benefit/Cost Ratio (0.187), Internal Rate of Return (20%), Return on Investment (8.9%), Break Even Point (production of 420,503 Kg for Rp 16,788/Kg), and Payback Period (3 years), all of which indicate that the business is financially viable; and third, to examine the stages of the business life cycle, where a sales growth of 11% shows that the business is currently in the growth stage. In conclusion, this study demonstrates that the Sun Farm broiler business is not only profitable but also strategically positioned for continued growth, and the chosen methods ensured reliable, in-depth insights into both its financial performance and developmental stage.Peternakan ayam broiler Sun Farm merupakan usaha peternakan ayam broiler dengan kandang tipe close house yang melakukan proses produksi dengan sistem all in all out dengan kapasitas ayam broiler yang besar. Penelitian ini bertujuan untuk : 1) menganalisis besaran biaya, penerimaan dan pendapatan pada usaha peternakan ayam broiler Sun Farm, 2) menganalisis kelayakan finansial pada usaha peternakan ayam broiler Sun Farm, dan 3) menganalisis tahapan business life cycle pada usaha peternakan ayam broiler Sun Farm. Lokasi penelitian ini dipilih dengan menggunakan metode purposive. Penentuan sampel dilakukan dengan metode purposive sampling, dimana terdapat lima informan dipilih berdasarkan kriteria tertentu yang telah disesuaikan dengan tujuan penelitian. Data yang digunakan diperoleh melalui hasil kuesioner, wawancara, dan dokumentasi. Hasil penelitian ini menunjukkan bahwa analisis kelayakan finansial untuk Net Present Value > 0 sebesar Rp 1.408.592.651, B/C Ratio > 0 sebesar 0,187, Internal Rate of Return sebesar 20% lebih besar dari tingkat suku bunga yang digunakan, Return On Investment sebesar 8,9% menunjukkan profit, Break Event Point untuk Produksi sebesar 420.503 Kg dan Harga Rp 16.788/Kg, dan Payback Period selama 3 tahun dan dinyatakan layak. Hasil analisis tahapan Business Life Cycle dengan perhitungan Sales Growth menunjukkan angka persentase sebesar 11% yang menunjukkan usaha berada pada tahap growth. Dapat disimpulkan bahwa usaha layak dijalankan secara finansial
Sensory Quality Test of Liquid Eggs Preservation by Adding Forest Bee Honey and Cold Storage
Get PDFTo extend their shelf life beyond the approximate 14 days they last at room temperature, fresh eggs are often processed into liquid eggs. Storage at 4°C with the addition of forest honey (Apis dorsata), which is rich in antibacterials, antioxidants, and sugars, has the potential to maintain quality and serve as a sugar substitute in food products. This study evaluated the sensory quality of liquid eggs with forest honey after cold storage. A total of 60 chicken eggs were stored at 4°C for 21 days. Sensory testing was conducted on 21-day-old liquid eggs that had been steamed for 30 minutes. Panelists assessed color, aroma, taste, and texture, and data were analyzed using ANOVA with a DMRT follow-up test at the 0.05 level. Results indicated that the addition of wild bee honey (Apis dorsata) to liquid eggs stored at 4°C significantly improved the sensory attributes of egg whites, including color, odor, texture, and taste, but showed no significant effect on the sensory properties of egg yolks. Overall, liquid eggs with forest honey were acceptable to panelists and have the potential to be developed as a value-added food ingredien
Screening, Characterization, and Cultivation of Cellulase-Producing Bacteria as Probiotic Candidates for Poultry
Get PDFProbiotics play an essential role in regulating gut microbiota and increasing feed digestibility in poultry. This study aimed to screen and characterize cellulase-producing bacteria as poultry probiotic candidates. Among the five isolates tested, isolates I5 and BP had cellulase activity, as indicated by clear zones surrounding the colonies on carboxymethyl cellulose (CMC) agar plates. Isolate I5 was more tolerant to low pH and 0.3% bile salts than isolate BP, indicating probiotic potential. Isolate I5 was selected for cultivating in tempeh wastewater-molasses medium (TM) and LB medium at 37 °C with shaking at 120 rpm. The results demonstrated that bacterial growth in TM medium was significantly lower (p < 0.001) than in LB medium. Importantly, bacterial growth in TM medium reached an optical density (OD₆₀₀) of 0.415 after 6 hours of incubation, indicating its adaptability to tempeh wastewater-molasses medium. These findings suggest that the TM medium promotes bacterial growth and proliferation, supports probiotic and enzyme production for use in poultry feed supplementation, and reduces cultivation costs. Therefore, the use of agro-industrial waste provides a cost-effective alternative for cultivating cellulase-producing probiotics, thereby contributing to value-added waste management, sustainable poultry production, and circular bio-economy practices