Abstract:Beef is a livestock product that has economic value. The high demand for meat requires farmers to cultivate cows by supplying cattle to meet consumer needs. In terms of selecting beef cattle seeds, independent breeders still…
till do traditionally. During this time farmers still use the trial and error method in choosing the best type of cow even just concerned with the price factor. This will obviously affect the quality of cattle which results in expensive maintenance costs, less than optimal production yields and even death of cows. The purpose of this study was to conduct a study of the application of technology in the selection of the best beef cattle to increase livestock yield, especially for local independent breeders. The technology used is a combination of the Analytical Hierarchy Process (AHP) method and the Multy Factor Evaluation Process (MFEP) Method. Through a combination of methods, researchers analyzed each criterion and alternative related to the selection of the best beef cattle. AHP method was chosen because it has the ability to analyze more consistent criteria. While the selection of the MFEP method is due to having the ability to analyze alternatives based on existing criteria in a simple and accurate way. The results of the AHP and MFEP analysis method are AHP analysis to assist in determining the priority factors of beef cattle seedlings and applied to the MFEP method which produces the highest alternative A6 with a value of 0.508. This research is expected to become a new foundation for farmers in knowing the criteria and alternatives in determining the best type of beef cattle.
Abstract:Abstract: The application of information technology is currently growing so rapidly. One of them is the application of technology that can be applied in the industrial world, namely to evaluate the company's performance.…
Evaluation is a necessity for companies to move forward and develop in facing business competition. One method of evaluating that can be used objectively is extracting information through a stored database. This study intends to analyze the factors that affect profit outcomes based on profit-based data. The data will be analyzed using method Bayes. Through this method will get a pattern that affects profits. However, it is not easy to analyze data with this method because of the large amount of data that will cost a lot of time and time. So to simplify the analysis, researchers use tools in analyzing the data the results of the benefits of rapidminer software. Based on the results of the analysis carried out, rapidminer software can help and make it easier to produce probabilities to be predicted. The results of this study are from the set test conducted, the prediction of profit results can be ascertained to be achieved and the possibility of certainty is reached 0.59% and the possibility of not reaching 0.41%.
Keywords: Data Mining, Neive Bayes, Rapidminer, Benefits
Abstrak: Penerapan teknologi informasi saat ini berkembang begitu pesat. Salah satunya penerapan teknologi yang dapat diterapkan didunia industri yaitu untuk evaluasi terhadap kinerja perusahaan. Evaluasi merupakan suatu keharusan bagi perusahaan untuk terus maju dan berkembang menghadapi persaingan usaha. Salah satu cara mengevaluasi yang dapat dugunakan secara objektif yaitu penggalian informasi melalui database yang tersimpan.Penelitian ini bermaksud untuk menganalisa faktor yang mempengaruhi hasil keuntungan berdasarkan data hasil keuntungan. Data tersebut akan dianalisis menggunakan metodeneive bayes. Melalui metode ini akan mendapatkan pola yang mempengaruhi keuntungan.Namun tidaklah mudah dalam menganalisis data dengan metode ini dikarenanakan banyaknya data yang akan menghabiskan biaya dan waktu yang cukup lama. Maka untuk mempermudah analisis tersebut, peneliti menggunakan alat bantu dalam menganalisis data hasil keuntungan yaitusoftware rapidminer.Berdasarkan hasil analisis yang dilakukan, software rapidminer dapat membantu dan mempermudah menghasilkan probabilitas untuk dijadikan prediksi. Hasil penelitian ini adalah dari uji set yang dilakukan, prediksi hasil keuntungan dapat dipastikan tercapai dan kemungkinan kepastian tercapai 0,59% serta kemungkinan tidak tercapai 0,41%.
Kata Kunci : Data Mining, Neive Bayes, Rapidminer, Keuntungan
Abstract:Abstrack:To produce a 3D animated film requires a long process flow so that the processing time of manufacture is also prolonged. This is a constraint in the development of the local animation film in Indonesia for a long…
g time will lead to high production costs making it difficult to compete commercially with animated films from abroad who have abundant funds and the support of various parties in the country. Therefore, efforts to improve the competitiveness of local animated film and one of these efforts is by analyzing the stages of the manufacturing process and apply it to the process of making the actual 3D animated film.In general there are three stages of the filmmaking process, namely the 3D animation pre-production, production and post-production. Although this time the animation industry in Indonesia has not been detailed separates each of these stages, but still be important for designing detail the activities of these stages, in order to see the strengths and weaknesses of each process that existed at that stage. Therefore, this study was conducted with the hope to provide recommendations to improve the local animation industry.
Keywords: 3D Animation, Animation Film Pre-Production Stage, Princess Peacock Orange
Abstak: Untuk menghasilkan sebuah film animasi 3D membutuhkan alur proses yang panjang sehingga waktu pembuatannya juga berlangsung lama. Ini yang menjadi kendala dalam perkembangan film animasi lokal di Indonesia karena waktu yang yang panjang akan mengakibatkan tingginya cost production sehingga sulit untuk bersaing secara komersial dengan film animasi dari luar negeri yang memiliki dana berlimpah dan dukungan dari berbagai pihak di negaranya. Untuk itu diperlukan upaya untuk meningkatkan daya saing film animasi lokal dan salah satu upaya tersebut adalah dengan menganalisa tahapan-tahapan proses pembuatan dan menerapkannya pada proses pembuatan film animasi 3D yang sebenarnya.Secara umum ada 3 tahapan proses pembuatan film animasi 3D yaitu pra produksi, produksi dan paska produksi. Meskipun saat ini industri animasi di Indonesia belum secara detail memisahkan setiap tahapan tersebut, namun tetap menjadi penting untuk merancang detail aktifitas dari tahapan tersebut, dengan tujuan untuk melihat kekuatan dan kelemahan dari setiap proses yang ada pada tahapan tersebut.
Kata Kunci: Animasi 3D, Tahap Pra Produksi Film Animasi, Putri Merak Jingga
Abstract:Abstract: Religious tourism especeeially for Hajj and Umroh is increasingly in demand by the public. Auliya Tour & Travel, which is engaged in the travel agency, has diverse pilgrimage data so that the data collection is…
used to find new knowledge as a marketing strategy using Data Mining techniques. Data Mining is one of the KDD processes that has the function for grouping. K-Means Clustering is a data mining technique that aims to group data into a data subset. The grouping of data on Umroh pilgrims is conducted to find out the interest groups of pilgrims based on age. This study categorizes pilgrim data into three clusters, which are very popular, in high demand and less desirable. Attributes used in processing data include gender, age, and congregation package. Before the data calculation process is carried out, the data transformation process is carried out before data calculation process. Based on data calculations that have been done through the RapidMiner software, the members of the group were very interested, ranging in age from 56 to 83 years, interested groups ranging in age from 29 to 55 years and the group was less interested with an age range 2 to 22 years from 170 records.
Keywords: Clustering, Data Mining, K-Means, RapidMiner, Umroh.
Abstrak: Perjalanan wisata religi khususnya untuk ibadah haji dan umroh semakin diminati masyarakat. Auliya Tour & Travel yang bergerak pada bidang biro perjalanan memiliki data jamaah yang beragam sehingga kumpulan data tersebut dimanfaatkan untuk menemukan pengetahuan yang baru sebagai strategi pemasaran dengan menggunakan teknik Data Mining. Data Mining merupakan salah satu proses dari KDD yang fungsi salah satunya untuk pengelompokan. K-Means Clustering merupakan salah satu teknik Data Mining yang bertujuan untuk mengelompokkan data ke dalam subset data. Pengelompokan data jamaah umroh dilakukan bertujuan untuk mengetahui kelompok minat jamaah berdasarkan usia. Penelitian ini mengelompokkan data jamaah menjadi tiga cluster yaitu sangat diminati, diminati dan kurang diminati. Atribut yang digunakan dalam pengolahan data meliputi jenis kelamin, usia, dan paket jamaah. Sebelum proses perhitungan data dilakukan terlebih dahulu dilakukan proses transformasi data. Berdasarkan perhitungan data yang telah dilakukan melalui software RapidMiner diperoleh anggota kelompok sangat diminati dari rentang usia mulai 56 sampai 83 tahun, kelompok diminati dengan rentang usia mulai 29 sampai 55 tahun dan kelompok kurang diminati mulai usia 2 sampai 22 tahun dari 170 record.
Kata Kunci: Clustering, Data Mining, K-Means, RapidMiner, Umroh
Abstract:Abstrack: New Employee Recruitment on campus STMIK ROYAL. In the selection usually the campus will provide several series of tests to determine the ability and personal of the prospective employee. Data test results will…
be stored in an archive or computer in the form of tables that create data and value of each test participant. Based on the current employee recruitment system HR has difficulty in selecting and evaluating the competent employees. To overcome this made a decision support system of new employee acceptance especially part of laboratory assistant. For determine employees who will be accepted, then built a computerized decision-making system that is able to facilitate the process of receiving new employees. the determination and identification of labor by using SAW method (Simple additive weighting) is a method that can find a best alternative from various alternatives based on predetermined criteria. The point is that the method determines the weight value for each criterion. The best alternatives are those who are eligible to be employees based on predetermined criteria. Assessment is done by finding the value of weight for each criterion, then conducted the ranking process that will determine the optimal alternative that is the employee who will be considered by the decision maker to become employees at the company. This decision support system will be able to assist the human resources in determining the recruitment of new employees, especially the assistant laboratory at STMIK ROYAL.
Keywords: assessment criteria, SAW method, decision support system.
Abstrak: Penerimaan Karyawan baru pada kampus STMIK ROYAL. Dalam penyeleksian biasanya pihak kampus akan memberikan beberapa rangkaian tes untuk mengetahui kemampuan serta pribadi dari calon pegawai tersebut. Data hasil tes tersebut nantinya akan disimpan dalam suatu arsip ataupun komputer yang berupa tabel yang membuat data dan nilai masing-masing peserta tes. Berdasarkan system penerimaan pegawai yang berjalan saat ini SDM mengalami kesulitan dalam menyeleksi dan mengevaluasi pegawai yang berkompeten. Untuk mengatasinya dibuat suatu sistem pendukung keputusan penerimaan pegawai baru khususnya bagian asisten laboraturium.Untuk menentukan pegawai yang akan diterima, maka dibangun sebuah sistem pengambilan keputusan terkomputerisasi yang mampu memudahkan proses penerimaan pegawai baru. penentuan dan identifikasi tenaga kerja dengan menggunakan metode SAW (Simple additive weighting) adalah metode yang dapat mencari suatu alternatif terbaik dari berbagai alternatif berdasarkan kriteria – kriteria yang telah ditentukan. Intinya bahwa metode tersebut menentukan nilai bobot pada setiap kriteria. Alternatif terbaik yang dimaksud adalah yang berhak menjadi pegawai berdasarkan kriteria yang telah ditentukan. Penilaian dilakukan dengan mencari nilai bobot untuk setiap kriteria, kemudian dilakukan proses perangkingan yang akan menentukan alternatif optimal yaitu para pegawai yang akan dipertimbangkan oleh pengambil keputusan untuk menjadi pegawai pada perusahaan tersebut. Sistem pendukung keputusan ini nantinya dapat mambantu pihak SDM dalam menentukan perekrutan karyawan baru khususnya asisten laboraturium di STMIK ROYAL.
Kata Kunci : kriteria penilaian, metode SAW, sistem pendukung keputusan.
Abstract:Abstract: Based on the current employee recruitment system HR STMIK Royal has difficulty in selecting and evaluating the competent employees. To overcome this made a decision support system of new employee acceptance especially…
ecially part of laboratory assistant. For determine employees who will be accepted, then built a computerized decision-making system that is able to facilitate the process of receiving new employees. the determination and identification of labor by using SAW method (Simple additive weighting) is a method that can find a best alternative from various alternatives based on predetermined criteria. The point is that the method determines the weight value for each criterion. The best alternatives are those who are eligible to be employees based on predetermined criteria. Assessment is done by finding the value of weight for each criterion, then conducted the ranking process that will determine the optimal alternative that is the employee who will be considered by the decision maker to become employees at the company. This decision support system will be able to assist the human resources in determining the recruitment of new employees, especially the assistant laboratory at STMIK Royal.
Keywords: assessment criteria, SAW method, decision support system.
Abstrak: Berdasarkan sistem penerimaan pegawai yang berjalan saat ini SDM mengalami kesulitan dalam menyeleksi dan mengevaluasi pegawai yang berkompeten. Untuk mengatasinya dibuat suatu sistem pendukung keputusan penerimaan pegawai baru khususnya bagian asisten laboraturium.Untuk menentukan pegawai yang akan diterima, maka dibangun sebuah sistem pengambilan keputusan terkomputerisasi yang mampu memudahkan proses penerimaan pegawai baru. penentuan dan identifikasi tenaga kerja dengan menggunakan metode SAW (Simple additive weighting) adalah metode yang dapat mencari suatu alternatif terbaik dari berbagai alternatif berdasarkan kriteria – kriteria yang telah ditentukan. Intinya bahwa metode tersebut menentukan nilai bobot pada setiap kriteria. Alternatif terbaik yang dimaksud adalah yang berhak menjadi pegawai berdasarkan kriteria yang telah ditentukan. Penilaian dilakukan dengan mencari nilai bobot untuk setiap kriteria, kemudian dilakukan proses perangkingan yang akan menentukan alternatif optimal yaitu para pegawai yang akan dipertimbangkan oleh pengambil keputusan untuk menjadi pegawai pada perusahaan tersebut. Sistem pendukung keputusan ini nantinya dapat mambantu pihak SDM dalam menentukan perekrutan karyawan baru khususnya asisten laboraturium di STMIK Royal.
Kata kunci: kriteria penilaian, metode SAW, sistem pendukung keputusan.
Abstract:This research was undertaken to analyze the influence of the Wordwall application on the speaking skills of eleventh-grade students at SMAN 1 Ciruas. Consequently, Wordwalluantitative methodology and a quasi-experimental…
design involving 82 participants, organized into two equally sized groups, namely the experimental and control groups. Data collection was conducted through speaking assessments administered prior to and following the treatment. The findings showed that students who received the treatment achieved better improvement in speaking skills than those in the control group. The average score achieved by the experimental group increased from 63.90 to 83.12, whereas the control group’s mean score rose from 66.15 to 74.34. The hypothesis test results revealed a significance value below 0.05 (p < 0.001), providing evidence of a statistically significant difference between the groups. The results point to the fact that the Wordwall application was effective in enhancing students’ speaking skills.. Consequently, Wordwall can be considered an effective technology-based learning tool for promoting speaking skill development in English language learning.
Abstract:Penelitian ini bertujuan mengidentifikasi jenis tumbuhan paku (Pteridophyta) dan tingkat keanekaragamannya di Desa Terentang Baru, Kecamatan Batin XXIV, Jambi. Penelitian dilaksanakan pada Mei 2026 menggunakan metode survei…
vei eksploratif dengan teknik purposive sampling dan metode jelajah. Hasil penelitian menemukan 10 spesies tumbuhan paku yang tergolong dalam 9 genus dan 8 famili. Nilai indeks keanekaragaman Shannon-Wiener (H') sebesar 2,18 (kategori sedang) dan indeks kemerataan (E) sebesar 0,95 (kategori tinggi). Kondisi lingkungan berupa suhu 28°C, kelembapan 82%, pH tanah 6,4, dan intensitas cahaya 1.200 Lux mendukung pertumbuhan tumbuhan paku. Keanekaragaman tumbuhan paku di lokasi penelitian tergolong cukup baik dan berpotensi menjadi data dasar inventarisasi flora lokal serta konservasi keanekaragaman hayati.
This study aimed to identify fern (Pteridophyta) species and determine their diversity level in Terentang Baru Village, Batin XXIV District, Jambi. Conducted in May 2026 using an exploratory survey, purposive sampling, and roaming methods, the study identified 10 fern species belonging to 9 genera and 8 families. The Shannon-Wiener diversity index (H') was 2.18 (moderate), while the evenness index (E) was 0.95 (high). Environmental conditions, including a temperature of 28°C, humidity of 82%, soil pH of 6.4, and light intensity of 1,200 Lux, supported fern growth. The findings indicate relatively good fern diversity and provide baseline data for local flora inventory and biodiversity conservation.
Abstract:Cayenne pepper (Capsicum frutescens L.) is a horticultural commodity with high economic value and continuously increasing market demand. The success of cayenne pepper production is largely determined by vegetative growth…
in the early stages, which is influenced by the availability of nutrients and plant growth regulators. The use of manure as a source of organic matter and natural Plant Growth Regulators (PGRs) is expected to enhance vegetative growth. This study aimed to determine the effect of manure application and natural PGRs on the vegetative growth of cayenne pepper and to identify the treatment that produces the best growth.The research was conducted from December to January 2026 at the land of the Kopbun Suka Tani Sejahtera Business Research Center, Kota Juang District, Bireuen Regency. The study used a factorial Randomized Block Design (RBD) with a 4 × 3 pattern and three replications. The first factor was the dosage of manure consisting of 0 kg (control), 1 kg, 1.5 kg, and 2 kg per plant. The second factor was the type of natural PGR, consisting of shallot extract, rice water, and coconut water. The observed parameters included plant height, number of leaves, leaf width, and number of branches at 15, 30, and 45 days after planting (DAP). Data were analyzed using the F-test and continued with the Honestly Significant Difference (HSD) test at a 5% significance level if the results were significant.The results showed that manure application had no significant effect on all vegetative growth parameters up to 45 DAP. The application of natural PGRs also showed no significant effect at 15, 30, and 45 DAP, as well as on other parameters. There was no significant interaction between manure and natural PGRs on all observed parameters.
Abstract:This study aims to determine the effect of manure dosage and types of plant growth regulators (PGRs), as well as their interaction, on the generative phase of bird’s eye chili plants (Capsicum frutescens L.) in order to…
o improve productivity, which remains fluctuating due to suboptimal cultivation practices. The research was conducted from February to March 2026 at the experimental field of the Pusat Riset Bisnis Kopbun Suka Tani Sejahtera, Kota Juang District, Bireuen Regency, using a factorial Randomized Block Design (RBD) of 4 × 3 with three replications. The first factor was the dosage of manure (control, 1 kg/plant, 1.5 kg/plant, and 2 kg/plant), while the second factor was the type of natural PGR (onion extract, rice water, and coconut water). Data were collected through direct observations on several parameters, including number of fruits, fruit weight, fresh biomass weight, root fresh weight, and root length, and were then analyzed to determine the effects of treatments and their interactions.
The results showed that certain doses of manure had a significant effect on increasing yield and root growth, while natural PGRs were able to enhance flowering, reduce flower drop, and accelerate fruit formation. The interaction between both treatments indicated that the optimal combination produced higher results compared to single treatments. The novelty of this study lies in the use of a combination of manure and natural PGRs based on local materials as a strategy to improve the generative phase. The implications of this research are expected to serve as a scientific reference for the development of sustainable cultivation techniques, as well as learning material and further research in the fields of agronomy and horticulture.