Sistem Pendukung Keputusanpemilihan Guru Teladan dengan Simple Additive Weighting Method (Saw) (Studi Kasus di SMA Angkasa YOGYAKARTA)

Decision Support System or DSS is a system that helps managers solve problems in a semi-structured. Many of the techniques used to make the DSS, onewith Fuzzy Logic Multi-Attribute Decision Making (MADM). Fuzzy logic is oneproblem on feelings. Where the degree of membership is usually representedwith a value of 0 and 1, with Fuzzy Logic is the degree of membership can be represented with a value between 0 and 1, which can be more balanced. High School Angkasa Yogyakarta is a place to educate students thus the students can be useful for Nation.In realizing, the need for good quality teachers who can become role models for students, so that teaching and learning process will be better. Thus the need assessment conducted by the student or the principal to determine the ability of ateacher, both in the process of teaching or outside the teaching process. In the process of assessment needs to consider several factors than affect teacher performance. These factor related to teaching and learning process outside the process of theaching anyothers on the Indonesian Government Regulation Number 74 Year 2008 about the master of pedagogical,competence, personality, social and professional.High School Angkasa in conducting an assessment to each teacher based on the result of the vote. So , to help assist in making selection for decision support of teacher to be made SPK. DSS will use fuzzy logic techniques that apply MADM SAW method in its calculation. It is expected that DSS can be an alternativein the selection of exeplary teacher in High School Yogyakarta

Comparison Of Simple Moving Average and Exponential Smoothing Methods To Predict Seaweed Prices

Seaweed is one of the main superior commodities in the City of Tarakan. The problem often faced in the field is that the increase in production is not proportional to the price of seaweed that fluctuates every month from year to year, making it difficult for collectors to determine the price of seaweed for sale. Price increases caused by various factors such as the drying process, long marketing chains, and increasing demand from domestic companies. In determining the price of seaweed in the future some approach is needed to predict or predict the price of seaweed in the following month. Forecasting (forecast) is an activity or business that knows the events that will occur at that time will use historical data. Prediction methods used in this study are Simple Moving Average and Exponential Smoothing, these two methods will be guided to find out the most appropriate method used in predicting. Based on the minimum error value calculated using the values of MAD, MSE, MFE, MAPE and CFE, it is found that the Simple moving average forecasting method is considered the best method that can be used to forecast seaweed prices

Pengenalan dunia dirgantara melalui edukasi regulasi penggunaan drone untuk videografi di SMA Muhammadiyah I Karanganyar

Drone atau pesawat tanpa awak (UAV) makin banyak dimanfaatkan dalam produksi konten kreatif, termasuk oleh siswa sekolah menengah, namun literasi terhadap regulasi penggunaannya masih rendah. Kegiatan Pengabdian kepada Masyarakat (PkM) ini dilaksanakan di SMA Muhammadiyah I Karanganyar dan bertujuan untuk meningkatkan pemahaman, kesadaran, serta kesiapan siswa dalam menggunakan drone secara aman dan sesuai hukum, khususnya dalam konteks videografi. Kegiatan melibatkan 200 siswa melalui metode penyuluhan, demonstrasi teknis, serta praktik berbasis proyek. Instrumen evaluasi yang digunakan meliputi kuesioner pre-test dan post-test yang mencakup aspek pemahaman regulasi, kesadaran hukum dan etika, serta kesiapan operasional, disertai lembar observasi partisipasi siswa. Teknik analisis dilakukan secara kuantitatif dan kualitatif melalui analisis persentase peningkatan skor serta deskripsi pola keterlibatan. Hasil kegiatan menunjukkan adanya peningkatan rata-rata sebesar 28–41% pada tiga aspek yang diukur, dengan partisipasi aktif tercatat lebih dari 80% peserta. Temuan ini menunjukkan bahwa model edukasi regulatif berbasis praktik langsung efektif dalam membentuk literasi hukum dan etika teknologi pada generasi muda, serta dapat dijadikan acuan dalam pengembangan kurikulum literasi drone di lingkungan pendidikan menengah

APPLICATION OF DJIKSTRA’ALGORITHM FOR SEARCHING OF THE SHORTEST ROUTE THE JELAJAH JOGJA APPLICATION

Penelitian ini bertujuan untuk mengembangkan aplikasi pencarian rute terpendek dengan Algoritma Dijkstra pada destinasi wisata alam dan budaya di Daerah Istimewa Yogyakarta (DIY). Aplikasi ini dirancang untuk membantu wisatawan menemukan rute tercepat berdasarkan jaringan jalan utama, tanpa mempertimbangkan kondisi lalu lintas secara real-time. Dengan adanya fitur ini, wisatawan dapat memperoleh rekomendasi jalur terbaik untuk mencapai tujuan wisata dengan lebih efisien. Pengembangan sistem dalam penelitian ini menggunakan Waterfall Model, yang mencakup tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, serta pemeliharaan dan penyempurnaan. Teknik pengumpulan data dilakukan melalui observasi langsung terhadap kondisi geografis dan jaringan jalan utama di Yogyakarta serta studi literatur terkait Algoritma Dijkstra dan sistem pencarian rute berbasis navigasi. Hasil penelitian menunjukkan bahwa penerapan Algoritma Dijkstra dapat secara efektif menentukan rute optimal berdasarkan jarak terpendek yang dihitung dalam bentuk graf. Dengan penerapan algoritma ini, aplikasi Jelajah Jogja diharapkan dapat meningkatkan pengalaman wisatawan dalam menjelajahi destinasi wisata di Yogyakarta serta mendukung pengembangan sektor pariwisata daerah

Decision Support System Assessment Of Truck Driver Work Mental Load in Giwangan Market Area, Yogyakarta Using NASA-TLX

Traditional markets in Indonesia have experienced a decline in performance as from 2002 to 2013. Sales value in 2002 was 74.8%, in 2005 the sales value of traditional markets was 67.6%, then in 2011 it was 55.8%. Giwangan Market is the largest traditional market in the area of Yogyakarta Province. However, many of the traditional markets have inadequate infrastructure both in terms of cleanliness and tidiness of the market location which is detrimental to truck drivers in these markets. Research shows that driver fatigue is the cause of road accidents by 30%. Regarding the measurement of mental workload, subjective measures of workload are easy to provide and have high assessment ability because the measurement is independent of the task. The Decision Support System Model can provide input to Giwangan Market managers to show the mental workload scale of truck drivers using the NASA-TLX Scale (Task Load Index) approach, the most widely used subjective scale by asking participants to rank separately on the mental command subscales. demand, physical demand, temporal demand, own performance, effort, and frustration level. The results of the system show that the mental workload of truck drivers in Giwangan Yogyakarta Market has a very high workload, as many as 4 drivers, 5 drivers have a high workload and 1 driver has a fairly high workload interpretation

Identifikasi Kerusakan Pada Landing Gear Pesawat Cessna C208B

One type of aircraft commonly used for flight training, patrol, and transportation in remote areas is the Cessna. It should be understood that each tool and component in the aircraft has its own level of importance and can experience failures in carrying out its functions. These failures often become a problem for users due to a limited understanding of the aircraft engine field. Issues arising from the aircraft's landing gear sometimes involve minor problems that do Does not require a high level of expertise. To solve this, it may be possible for someone with knowledge of landing gear to address the issue. By using the Case-Based Reasoning (CBR) method for fault identification, a technician's expertise in aircraft landing gear can be applied and integrated. The search for solutions or fault identification Can be obtained promptly In the testing results of the Fault System for Cessna C208B Aircraft Landing Gear using the CBR method, the system's calculations were consistent with the manual. However, the application still has some shortcomings in the system, such as the preprocessing stage, which has not been able to search for the root words in a question sentence

TWO LEVEL CLUSTERING UNTUK ANALISIS KUESIONER AKADEMIK DI STTA YOGYAKARTA

Untuk menjaga kualitas dosen, institusi melakukan evaluasi kinerja dosen yang dapat berupa kuesioner akademik dimana kadang hasilnya bersifat subyektif. Untuk itu perlu dilakukan pengecekan konsistensi tingkat kepuasan proses pengajaran dari hasil pengisian kuesioner dengan data akademik lainnya dengan pendekatan clustering. Untuk mengatasi hal tersebut dilakukan penelitian yang bertujuan untuk membangun sebuah aplikasi yang menerapkan pendekatan two level clustering dengan k-means dan average linkage clustering untuk mengetahui tingkat perbedaan kualitas proses belajar mengajar dosen menurut mahasiswa yang telah dikelompokkan berdasarkan data akademis. Model yang digunakan dalam penelitian ini adalah model two level clustering dengan dua tahapan cluster yaitu  metode k-means dan average linkage clustering. Model ini digunakan untuk mengelompokkan data mahasiswa menjadi beberapa cluster berdasarkan data akademis mahasiswa dalam satu matakuliah sehingga data hasil cluster akademis dapat diklaster kembali berdasarkan jawaban kuesioner mahasiswa untuk setiap anggota cluster akademis. Hasil clustering level pertama menunjukkan jumlah cluster yang optimal adalah 2 dengan cluster yang terbentuk adalah mahasiswa dengan kemampuan akademis yang baik dan cukup, sedangkan jumlah cluster yang optimal untuk clustering level kedua adalah 2, dengan cluster yang terbentuk adalah mahasiswa merasa puas, cukup puas atau tidak puas terhadap proses pengajaran di kelas. Hasil interprestasi clustering akademik terhadap tingkat kepuasan mengajar dosen menunjukkan hasil yang sama diantara 2 cluster akademik.</jats:p

Application of Case Based Reasoning for Student Recommendations Drop Out (Case Study: Adisutjipto College of Technology)

The data of non-active students is an obstacle in a university because it is counted as a student body, thus affecting the lecturer ratio. For that reason, in order to improve the lecturer ratio, a way is needed in addition to adding lecturers, but also by evaluating the data of students who are not active and active to be filtered back by looking at academic data that is known so that students can continue their studies or should be advised to resign or also drop out . To solve these problems a system model is needed that can recommend students as drop out students and can also provide other recommendations that can be used as evaluations. Case-based reasoning method is used to see new data matching with old data, where active student data to be evaluated will be matched with student data that has been dropped out or received a warning letter, so that it will be used as a new solution. Case-based reasoning methods can help in recommending students to drop out or get a warning letter.</jats:p

E-book limitation with library portable document format java script for accessing digital library

The function of the Adisutjipto-Aerospace Institute of Technology (ITDA) library is to provide borrowing and reimbursement services for books insured by members of the library. The books which increase in number each year occupy a lot of space in the library, it is therefore necessary to study it so that the form of this book is no longer physical but digital or paperless to be able to be stored on a server computer. This form of library is known as a digital library or e-library. The electronic library is a modern library as a place which provides a source of educational information with more convenience and security. The flow in the application is not very different from the flow in the manual library. Security becomes an important part of an application, by limiting network access, accessing PDF documents and implementing PDF Viewer using the PDF.js library by rendering PDF documents on a canvas capable of blocking illegal downloads. Based on the test results, the electronic library application can work properly. The speed of opening a PDF document is influenced by the speed of the server, the content contained in the PDF and the size of the PDF file.</jats:p