Abstract:Abstract: The Poor Student Assistance Program is a government program aimed at removing barriers to poor students from participating in school to support the Nine-Year Compulsory Basic Education Program. According to TNP2K,…
2K, the target of BSM recipients is based on the criteria of students' economic conditions and not on the achievements of students. The problem so far is not a few are found that BSM recipients are those who are classified as capable so that this program is not well-targeted. The purpose of applying the combination of 2 AHP and MFEP methods is to apply Decision Support System (SPK) technology in determining students who receive poor student assistance at Tamansiswa Sukadamai SMPS so that it helps decision-makers to get objective decisions. The combination is based on the superiority of each method in analyzing each criterion and alternatives related to the selection of BSM recipients. AHP is used to analyze criteria to produce criteria that have a good consistency. Then an alternative ranking process is carried out using the MFEP method. Based on the results of the analysis of the combination of the AHP and MFEP methods that have been carried out that the AHP method can help schools in determining the main factors that are very priority in receiving poor student assistance, while the MFEP method can determine the best alternative for eligible students as recipients of poor student assistance in the form of ranking the highest value is A9 with 1,097.
Keywords: AHP Method; MFEP Method; Poor Student Assistance; SPK.
Abstrak: Program Bantuan Siswa Miskin (BSM) merupakan program pemerintah yang ditujukan untuk menghilangkan halangan siswa miskin berpartisipasi untuk bersekolah mendukung program Wajib Belajar Pendidikan Dasar Sembilan Tahun. Menurut TNP2K adapun yang menjadi sasaran penerima BSM yaitu berdasarkan kriteria kondisi ekonomi siswa dan bukan berdasarkan prestasi siswa. Permasalahan selama ini justru tidak sedikit dijumpai bahwa penerima BSM merupakan mereka yang tergolong mampu, sehingga program ini menjadi kurang tepat sasaran. Adapun tujuan dari penerapan kombinasi 2 metode AHP dan MFEP ini adalah untuk menerapkan teknologi Sistem Pendukung Keputusan (SPK) dalam penentuan siswa penerima bantuan siswa miskin di SMPS Tamansiswa Sukadamai sehingga membantu pengambil keputusan untuk mendapatkan keputusan yang objektif. Kombinasi dilakukan berdasarkan keunggulan dari masing-masing metode dalam menganalisis setiap kriteria dan alternative terkait pemilihan penerima BSM. AHP digunakan untuk menganilis kriteria sehingga menghasilkan kriteria yang memiliki konsistensi yang baik. Selajutnya dilakukan proses perangkingan alternatif menggunakan metode MFEP. Berdasarkan hasil analisis dari kombinasi metode AHP dan MFEP yang telah dilakukan bahwa metode AHP dapat membantu sekolah dalam menentukan faktor utama yang sangat prioritas dalam penerima bantuan siswa miskin, sedangkan metode MFEP dapat menentukan alternatif terbaik siswa yang layak sebagai penerima bantuan siswa miskin dalam bentuk perangkingan dengan nilai tertinggi yaitu A9 dengan 1,097.
Kata Kunci : Bantuan Siswa Miskin; Metode AHP; Metode MFEP; SPK.
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:Abstract: The transportation model relates to determining the lowest cost plan for sending one item from a number of sources to a number of destinations. The working principle of the VAM method is to achieve an initial feasible…
easible solution. MODI Method (Modified Distribution) is a method of solving transportation cases developed from stepping stone method. The purpose of this research is to analyze the comparison of goods delivery using the VAM method and the MODI method. The results of the study indicate that operational costs are issued using the VAM method in January 2015, which is Rp. 34.100 and operational costs incurred using the VAM method in February 2015, namely Rp. 39.400. While the operational costs incurred using the MODI method in January 2015 are Rp. 33.800 and operational costs incurred using the MODI method in February 2015, which is Rp. 37.900.
Keywords: vam method, modi method, transportation model
Abstrak: Model transportasi berkaitan dengan penentuan rencana biaya terendah untuk mengirimkan satu barang dari sejumlah sumber ke sejumlah tujuan. Prinsip kerja metode VAM ialah untuk mencapai solusi fisibel awal. Metode MODI (Modified Distribution) merupakan metode penyelesaian kasus transportasi yang di kembangkan dari metode stepping stone. Tujuan penelitian ini, menganalisa perbandingan pengiriman barang menggunakan metode VAM dan metode MODI. Hasil penelitian menunjukkan bahwa biaya operasional yang dikeluarkan dengan menggunakan metode VAM pada bulan januari 2015 yaitu Rp. 34.100 dan biaya operasional yang dikeluarkan dengan menggunakan metode VAM pada bulan februari 2015 yaitu Rp. 39.400. Sedangkan biaya operasional yang dikeluarkan dengan menggunakan metode MODI pada bulan januari 2015 yaitu Rp. 33.800 dan biaya operasional yang dikeluarkan dengan menggunakan metode MODI pada bulan februari 2015 yaitu Rp. 37.900.
Kata kunci: metode vam, metode modi, model transportasi
Abstract:Abstract: There are several facilities in distributing funds to the customer which is owned by Bank Syariah Bukopin. One of them is Kredit Pemilikan Rumah / Housing Loan (mortgage), so far the bank when provides mortgages…
s to customers still uses risk prediction manually in giving credit to customers which is taking up a lot of time and energy especially when the customer reports is further analyzed by the Bank. One technique that can help in predicting the Bank's credit risk determination is Decision Tree which is a technique that is a part of Data Mining techniques to take a decision in the form of a tree. With Decision Tree techniques, it is expected to help the bank to allow faster and easier in predicting the data and getting a conclusion from existing data. One of the ways to predict the data is using Dtreg software. This software only uses data that is in the format of "csv (comma delimited)â€, if it is not using the format" csv (comma delimited)", so that the data can not be processed by Dtreg software. When the excel format has been converted to the "csv (comma delimited)" format, the analysis process can be done. Dtreg can generate decision tree, one of them is the result of risk decision from the number of mortgages based on the number of customers.
Keywords: data mining, decision tree
Abstrak: Ada beberapa fasilitas dalam penyaluran dana ke nasabah yang di miliki Bank Syariah Bukopin. Salah satunya Kredit Pemilikan Rumah (KPR), selama ini pihak Bank memberikan KPR ke nasabah masih menggunakan prediksi resiko secara manual dalam meberikan kredit kepada nasabah yang banyak menyita waktu dan tenaga apalagi pada saat laporan nasabah dianalisa lebih lanjut oleh pihak Bank. Salah satu teknik yang dapat membantu pihak Bank dalam memprediksi Penentuan resiko kredit adalah teknik Decision Tree yang merupakan bagian dari teknik Data Mining untuk mengambil suatu keputusan dalam bentuk pohon. Dengan teknik Decision Tree diharapkan dapat membantu pihak bank agar lebih cepat dan mudah dalam memprediksi data dan menarik suatu kesimpulan dari data yang ada.Salah satu cara memprediksi data tersebut dengan menggunakan software Dtreg. Pada software ini data yang digunakan hanya bisa dalam bentuk format “csv (comma delimited), jika tidak menggunakan format “csv (comma delimited)“ maka data tersebut tidak bisa diproses oleh software Dtreg dan selanjutnya jika format excel yang telah dirubah ke format “csv (comma delimited)â€, maka akan dapat dilakukan proses analisa. Dtreg dapat menghasilkan pohon keputusan, salah satu nya yaitu hasil keputusan resiko dari jumlah kredit pemilikan rumah berdasarkan jumlah nasabah.
Kata kunci: data mining, decision tree
Abstract:Abstract: The high level of student success and the low level of student failure is a quality of the education world. The world of education is currently required to have the ability to compete by utilizing all resources…
owned. In addition to facilities, infrastructure and human resources, information systems are one of the resources that can be used to improve competency skills. Data mining is a process of data analysis to find a dataset of data set. Data mining is able to analyze large amounts of data into information that has meaning for decision supporters. One process of data mining is clustring. Attributes used in the grouping of student achievement are Name, Extracurricular, Value which include Task Value, Uts Value, Value of Uses, total absenteeism, and Attitude value. The case study of 20 students with distance calculation using manhattan distance, chbychep distance and euclidian distance yielded 67% accuracy.
Keywords: data mining, clustering, k-means, student achievement
Abstrak: Tingginya tingkat keberhasilan siswa dan rendahnya tingkat kegagalan siswa merupakan cemin kualitas dunia pendidikan.Dunia pendidikan saat ini dituntut untuk memiliki kemampuan bersaing dengan memanfaatkan semua sumber daya yang dimiliki. Selain sumber daya sarana, prasarana dan manusia, sistem informasi merupakan salah satu sumber daya yang dapat digunakan untuk meningkatkan kemampuan barsaing. Data mining merupakan proses analisa data untuk menemukan suatu pola dara kumpulan data. Data mining mampu menganalisa jumlah data yang besar menjadi informasi yang mempunyai arti bagi pendukung keputusan. Salah satu proses data mining adalah clustring. Atribut yang digunakan dalam pengelompokan prestasi siswa adalah Nama, Ekstrakulikuler, Nilai yang meliputi Nilai Tugas, Nilai Uts, Nilai Uas, jumlah ketidak hadiran siswa (absensi), dan Nilai sikap. Studi kasus pada 20 siswa dengan perhitungan jarak menggunakan manhattan distance, chbychep distance dan euclidian distance menghasilkan akurasi sebesar 67%.
Kata kunci: data mining, clustering, k-means, prestasi siswa
Abstract:Penelitian ini bertujuan untuk menganalisis konten latihan dan soal yang merepresentasikan kemampuan berpikir tingkat tinggi (HOTS) pada buku teks Matematika kelas VII SMP terbitan Kementerian Pendidikan, Kebudayaan, Riset,…
et, dan Teknologi sebagai bahan ajar Kurikulum Merdeka. Anifarka & Rosnawati (2023) menyatakan bahwa buku teks yang berkualitas seyogianya mampu memfasilitasi perkembangan kognitif peserta didik selaras dengan capaian pembelajaran yang ditetapkan. Metode yang diterapkan dalam kajian ini adalah analisis isi dengan pendekatan deskriptif kualitatif. Instrumen analisis merujuk pada dimensi kognitif C4 (Menganalisis), C5 (Mengevaluasi), dan C6 (Menciptakan) berdasarkan revisi taksonomi Bloom oleh Anderson & Krathwohl (2001). Temuan penelitian mengindikasikan bahwa dari total 485 butir soal dan aktivitas yang tersebar pada enam bab, sebanyak 147 butir (30,31%) tergolong dalam kategori HOTS. Distribusi HOTS tertinggi ditemukan pada Bab 5 tentang Persamaan dan Pertidaksamaan Linear Satu Variabel (38,46%), sedangkan terendah pada Bab 1 tentang Bilangan (22,80%). Level kognitif yang paling dominan adalah C4-Menganalisis (58,50%), diikuti C5-Mengevaluasi (28,57%), dan C6-Mencipta (12,93%). Temuan ini mengindikasikan bahwa buku teks Kurikulum Merdeka telah mengintegrasikan HOTS secara lebih sistematis dibandingkan kurikulum sebelumnya (Fanani, 2018)meskipun proporsinya perlu ditingkatkan untuk memenuhi tuntutan pembelajaran abad ke-21.
This study aims to analyze the content of exercises and questions representing higher-order thinking skills (HOTS) in the Mathematics textbook for grade VII junior high school published by the Ministry of Education, Culture, Research, and Technology as teaching materials for the Independent Curriculum. Anifarka & Rosnawati (2023) stated that a quality textbook should be able to facilitate students' cognitive development in line with the established learning outcomes. The method applied in this study is content analysis with a qualitative descriptive approach. The analysis instrument refers to the cognitive dimensions C4 (Analyzing), C5 (Evaluating), and C6 (Creating) based on the revised Bloom's taxonomy by Anderson & Krathwohl (2001). The research findings indicate that of a total of 485 questions and activities spread across six chapters, 147 items (30.31%) are classified as HOTS. The highest HOTS distribution was found in Chapter 5 on Linear Equations and Inequalities with One Variable (38.46%), while the lowest was in Chapter 1 on Numbers (22.80%). The most dominant cognitive level is C4-Analyzing (58.50%), followed by C5-Evaluating (28.57%), and C6-Creating (12.93%). This finding indicates that the Independent Curriculum textbooks have integrated HOTS more systematically than the previous curriculum (Fanani, 2018), although the proportion needs to be increased to meet the demands of 21st-century learning.
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:PT. Almabrur Nadia Insani Kota Jambi masih menghadapi kendala dalam proses pendaftaran dan pengelolaan data konsumen yang dilakukan secara manual, sehingga menyebabkan pencarian data kurang efektif dan berisiko terjadi kesalahan…
esalahan maupun duplikasi data. Kegiatan magang ini bertujuan untuk menganalisis proses yang berjalan serta merancang sistem informasi pengelolaan data konsumen yang lebih efektif. Metode yang digunakan adalah metode deskriptif dengan pendekatan kualitatif melalui observasi, wawancara, dokumentasi, dan studi pustaka. Perancangan sistem dilakukan menggunakan flowchart dan UML. Hasil kegiatan menunjukkan bahwa sistem yang dirancang mampu membantu pengelolaan data konsumen secara lebih terstruktur, mempercepat pencarian data, serta mendukung pembuatan laporan dengan lebih mudah.
PT. Almabrur Nadia Insani Jambi City still faces challenges in the consumer registration and data management processes, which are carried out manually, resulting in inefficient data retrieval and increasing the risk of errors and data duplication. This internship aimed to analyze the existing processes and design a more effective consumer data management information system. The study employed a descriptive method with a qualitative approach through observation, interviews, documentation, and literature review. The system was designed using Unified Modeling Language (UML). The results indicate that the proposed system can support more structured consumer data management, accelerate data retrieval, and facilitate report generation more efficiently.
Abstract:This study examines the development of fiscal decentralization and its relationship to regional financial independence in Indonesia through a systematic literature review. The objective is to synthesize empirical and conceptual…
ceptual findings published between 2017 and 2026 concerning the determinants, measurement, and consequences of regional financial independence, particularly the role of local own-source revenue (PAD), intergovernmental transfers, and capital expenditure. Using a systematic search of Scopus, Google Scholar, and Garuda databases, 30 relevant articles were screened, selected, and analyzed following defined inclusion and exclusion criteria. The review finds that fiscal decentralization consistently strengthens local revenue mobilization and administrative accountability when accompanied by adequate institutional capacity, transparent governance, and effective management of natural and economic resources. However, the effectiveness of decentralization varies considerably across regions due to disparities in economic potential, human resources, and political commitment. The synthesis further shows that financial independence positively affects the quality of public services and regional economic growth, although the relationship is moderated by expenditure efficiency and governance quality. The novelty of this review lies in its integrative framework linking revenue-side determinants, expenditure behavior, and governance mechanisms within a single analytical narrative, an integration rarely addressed jointly in prior single-country studies. The findings offer practical implications for policymakers designing fiscal transfer formulas and for future researchers seeking to test moderating variables such as digitalization and institutional quality in the fiscal decentralization–financial independence nexus.