Indonesian Journal of Informatics and Research

SISTEM ABSENSI KARYAWAN DAN INSTRUKTUR KOMPUTER DENGAN SENSOR RFID BERBASIS ARDUINO UNO

2022-12-09T17:45:28+08:00

Attendance is evidence that records the presence of employees and computer instructors at the institution, the records for employees and computer instructors can be in the form of notes or sheets of paper or evidence of attendance in the form of time notes. As for information relating to employees and computer instructors present, it will be detected by digital attendance. This attendance function is very important for institutional leaders in controlling and developing discipline for employees and computer instructors. The output of the research is the design of an attendance system that uses RFID which can input the presence of employees and computer instructors at their workplaces. In this study using an RFID sensor that is connected to Arduino Uno so that it can become an employee and computer instructor attendance system at work. In the employee and computer instructor attendance system in this study the information will be stored in Google spreadsheets, and the employee and computer instructor attendance system has been successful in providing information to the leadership about the attendance of employees and computer instructors.

Keywords: Attendance, Arduino Uno, Waterfall, RFID

TINJAUAN PUSTAKA SISTEMATIS: SISTEM TEMU KEMBALI INFORMASI DENGAN METODE VECTOR SPACE MODEL

2022-10-17T19:57:10+08:00

Information retrieval system (IRS)) is a system that is useful in finding information that is relevant to the needs of its users, by implementing this system, the problem of searching for document information can provide relevant results according to user needs. Information Retrieval System (IRS) software is designed to provide search results with an optimal number of documents (low recall) and accuracy (high precision) with the Vector Space Model (VSM) method so that users can obtain fast and accurate results. The Vector Space Model (VSM) method assigns a different value to each document stored in the database which in turn determines the document that is most similar to the query, where the document with the highest value is placed at the top of the search results. The Systematic Literature Review method was used to combine, categorize, organize, and apply many unique studies based on criteria, deepen revisions, and incorporate creativity into research data. The purpose of this research is to develop and implement automatic indexing to build a document search system in a document storage system with the concept of information retrieval.

EXPERT SYSTEM TO DIAGNOSE DISEASES IN CABBAGE PLANT USING BACKWARD CHAINING METHOD

2022-12-15T14:58:28+08:00

Cabbage plant can be attacked with various kinds of diseases, these diseases can be known from the symptoms caused, but to know exactly the type of disease that attacks requires an expert / agricultural expert, while the number of agricultural experts is limited and cannot solve the problems of farmers at the same time, so we need a system that has the ability like an expert, where this system contains the expertise of an agricultural expert regarding cabbage plant diseases. In this study, an expert system was designed using the backward chaining method which was intended to assist farmers in diagnosing cabbage plant diseases. This expert system was developed using the PHP programming language with mysql database. This expert system is able to diagnose cabbage plant diseases by asking for symptoms of the disease at the time of examination, based on the symptoms that appear, this system will provide diagnostic results and then display the disease and solutions for the cabbage plant.

SYSTEMATIC LITERATURE REVIEW: PENERAPAN ROLE BASE APPROACH PADA SISTEM TEMU KEMBALI INFORMASI

2022-12-07T19:28:49+08:00

The role of the Role Base Approach is very important for the information retrieval system, especially in securing the use of population data in the authorization process for access rights and the application of the Role Base Approach in the Online Academic Assessment System. The Role Base Approach explains that there is a role played by individuals in a structured organization on followers. In this case, the researcher uses qualitative research methods with literature study techniques. Qualitative research is research that is intended to understand an event that occurs by the research subject and by means of description in the form of language and words in a natural context and utilizing natural methods. In finding the information needed by the user quickly and effectively, a method is needed in the information retrieval system, namely a science of finding information on documents, databases, which are found on the internet in the form of text, images, data, and sound.

SYSTEMATIC LITERATURE REVIEW: PENERAPAN METODE FUZZY LOGIC DALAM SISTEM PAKAR

2022-10-11T17:13:33+08:00

Technological advances that are increasingly sophisticated and the lack of experts in the medical field so that an expert system is needed that is able to match the experts in the hope of helping the public to know about the disease they are suffering from earlier. An expert system is a part of artificial intelligence with the knowledge and experience of an expert in a particular field that requires expert expertise. Expert systems can be used to take medical work in diagnosing the disease experienced by patients. Like expert systems in general that use Fuzzy Logic as a method to diagnose diseases based on the symptoms of the patient. The fuzzy logic method is multivalued logic that is able to define values between conventional conditions such as true or false, yes or no. Fuzzy logic provides a way to describe definite conclusions from vague, ambiguous and imprecise information, using this fuzzy logic method can describe the level of confidence of an expert or expert. From the research conducted, it can be concluded that using the fuzzy method can help analyze disease suffered by the patient.

Analisis Sentimen Aplikasi E-Learning Quipper Selama Pandemi Covid-19 Dengan Menggunakan Metode Support Vector Machine (SVM)

2022-10-12T06:16:47+08:00

E-Learning atau Pembelajaran Online adalah pembelajaran formal dan informal yang dilakukan dengan menggunakan teknologi, sehingga siswa dan guru bisa melakukan proses belajar mengajar melalui media elektronik. Pembelajaran online memiliki kendala tersendiri dan berbeda-beda dari setiap pengguna. Ada yang merasa kesulitan untuk memahami materi atau penjelasan yang diberikan oleh dosen atau gurunya di saat pendidikan menjadi online, ada juga yang merasa mudah dalam memahami materi atau penjelasan saat melakukan pendidikan online. Pada penelitian ini metode SVM dipilih untuk mengklasifikasikan sentimen, karena metode SVM terbukti cukup efektif dalam melakukan klasifikasi sentimen. Alur awal yang dilakukan pada analisis sentimen di penelitian ini yaitu pengumpulan data ulasan dengan cara scrapping pada play store aplikasi Quipper. Selanjutnya adalah tahap preprocessing di mana proses ini memiliki lima tahapan yaitu case folding, text cleaning, tokenization, stemming, dan filtering (stopword removal). Setelah mendapatkan hasil preprocessing, akan dilakukan pelabelan dan transformation data. Hasil transformation data, yaitu data train akan digunakan dalam pembentukan model algoritma SVM. Selanjutnya data test dimasukkan ke dalam model algoritma SVM yang sudah dibuat. Proses terakhir adalah melakukan perhitungan akurasi metode SVM. Sentimen masyarakat atau pengguna terhadap aplikasi Quipper menghasilkan 410 ulasan negatif 590 dan ulasan positif. Hasil evaluasi kinerja algoritma Support Vector Machine kernel linier dalam klasifikasi atau analisis sentimen ulasan aplikasi e-learning Quipper menggunakan tiga skenario split data, diperoleh hasil terbaik di skenario ketiga dengan rasio perbandingan data training 60% dan data testing 40% dan menghasilkan accuracy sebesar 90,25%, precision 86,85%, recall 94,39%, dan f1-score 90,46%.

SYSTEMATIC LITERATUR REVIEW: KEAMANAN KOMPUTER PADA JARINGAN NIRKABEL

2022-10-12T06:16:47+08:00

Abstrak

Perkembangan internet sangat cepat sekali dan penggunaannya sudah menyebar di berbagai pelosok belahan bumi baik yang menggunakan jaringan kabel maupun yang jaringan nirkabel (Jaringan Wifi). Namun Jaringan Wifi memiliki lebih banyak kelemahan dibanding dengan jaringan kabel. nirkabel merupakan suatu hubungan telekomunikasi yang menggunakan gelombang elektromagnetik untuk dapat mengganti media kabel sebagai alat transfer d\ata yang menawarkan beragam kemudahan, kebebasan, mobilitas, dan fleksibilitas yang tinggi. Teknologi wireless memiliki cukup banyak kelebihan dibandingkan teknologi kabel yang sudah ada. Mengingat akan hal tersebut jaringan nirkabel merupakan salah satu teknologi bidang telekomunikasi yang berkembang pesat pada saat ini. Teknologi ini memiliki kelebihan dengan menawarkan kemudahan konfigurasi serta fleksibilitas dalam mengaksesnya. Namun perlu diketahui celahkeamanan pada jaringan nirkabel masih rentan terhaap pencurian hak akses seperti meretas username dan password pada jaringan nirkabel. Selain itu contoh lainnya adalah serangan DOS (Denial Of Service) bisa dikenal sebagai tindak kejahatan dengan memanfaatkan serangan terhadap server yang menghabiskan sumberdaya dan juga dapat melakukan pencurian data, melakukan pemalsuan data, sehingga hal ini dapat merugikan pihak lain.

Penerapan Metode ARIMA untuk Prediksi Harga Komoditi Bawang Merah di Kota Tegal

2022-10-12T06:16:47+08:00

Horticultural agricultural products have a fairly large role in Indonesia, especially shallot products, shallots are now included in the main food ingredients in Indonesia. Recently, the price of shallots in the market has fluctuated and soared every year, this is due to the high demand for shallots, but the implementation of production is limited to seasonal nature. The study that will be used in this exploration is to utilize ARIMA research, ARIMA research is a technique that according to scientists is suitable for this exploration title because the strategy used is to collect time series information. The motivation behind this exploration was to determine the costing of using shallots in Tegal City. The information used in this study is public information obtained online regarding the cost of using shallots in Tegal City from the use of the Essential Food Value Data Center (PIHPS) obtained on the Hargapangan.id page. The information used for ARIMA examination is monthly fee information obtained in Tegal City from August 2017 to July 2022 with a total of 63 cost datasets. By utilizing this unique strategy, the estimated cost of using shallots in Tegal City until December 2023 is obtained by obtaining information on the cost of utilization which continues to increase.

PENERAPAN METODE CLUSTERING UNTUK PREDIKSI PRODUKSI BAWANG MERAH (ENSEMBLE K-NEAREST NEIGHBORS)

2022-10-12T07:38:42+08:00

Analisis data deret waktu atau yang dikenal data time series memerlukan beberapa asumsi berdasarkan variasi skala dan kesamaan parameter (homogenitas). Dalam banyak kasus, jarang ditemukan data deret waktu yang memenuhi asumsi ini. Hal ini dikarenakan hubungan non-linier yang kompleks antara fitur multidimensi dari data deret waktu. Metode ANN merupakan salah satu algoritma machine learning (LM) dan dianggap sebagai metode yang sederhana untuk diterapkan pada analisis data dengan banyak variabel dimensi. Metode ini dapat digunakan jika asumsi klasik tidak terpenuhi. Penelitian ini bertujuan untuk mengkonfirmasi performa ansambel KNN dan KNN. Metode ini sederhana, tetapi memiliki kelebihan dibandingkan metode lain. Misalnya, Anda dapat menggeneralisasi dari kumpulan data yang relatif kecil. Dalam metode ini, sangat penting untuk memilih jumlah k-nearest neighbor. Metode ensemble bersifat prediktif dan merupakan metode yang efisien digunakan oleh metode JST, sehingga tidak perlu mencari k bilangan. Hasil penelitian menunjukkan bahwa prediksi MAPE, MAE, dan RMSE kecil ketika jumlah k-nearest tetangga besar. Secara keseluruhan, metode ensemble KNN mengungguli metode ANN.

SYSTEMATIC LITERATUR REVIEW: PENERAPAN METODE ARIMA UNTUK PREDIKSI HARGA KOMODITI BAWANG MERAH

2022-10-12T11:21:44+08:00

Shallots are agricultural products whose consumption continues to increase from year to year. This increase was driven by several factors, including population growth and the community's economy which continues to improve. Because shallots are seasonal crops, their availability is unstable when they hit the market and their prices often rise. Shallot Price Volatility Affects Producers and Consumers. Farmers take too many risks about the uncertainty of market prices at harvest, but when the price of shallots rises, consumers also lose purchasing power. The Autoregressive Integrated Moving Average (ARIMA) model is one of the most popular models for forecasting time series data. The purpose of this study is to see the role of a forecast on one of the food commodities in Indonesia, namely shallots. Thus, the purpose of this study is how effective the Arima method is in predicting the production of shallots. Systematic Literature Review A term used to refer to a research methodology or the results of a particular research and development carried out to collect and evaluate relevant research on a particular topic. From the explanations and discussions in existing articles and journals, we can conclude that the need for shallot commodities will increase every year. This is influenced by various factors ranging from the amount of production, exports and imports, the dollar exchange rate and even local traditions.