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SISTEM INFORMASI PENJUALAN FURNITURE JEPARA BERBASIS WEB MENGGUNAKAN METODE DOUBLE MOVING AVERAGE M. Aufa Alfis Syihab; Anita Andriani; Tanhella Zein Vitadiar; Mahrus Ali
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8900

Abstract

Mahkota Jati Jepara is a store specializing in various types of teak wood furniture. Currently, the sales data processing system in this store is still done manually. Sales of goods are managed using receipt-based bookkeeping, which leads to difficulties in searching for sales data. This also makes it challenging for company management to obtain information regarding the quantity of goods expected to be sold in the upcoming period. The use of a sales forecasting information system is expected to provide many benefits for companies in managing and processing sales data and sales transactions. By utilizing goods sales data from previous periods, companies can forecast the number of sales that are likely to occur in the future period. With this forecasting system, the store can anticipate the number of sales for the next period. Therefore, a sales information system is needed that uses the double moving average method. This method was chosen because it can help in forecasting sales, so that company leaders can predict market needs and determine the amount of stock that must be provided, so that there is no shortage or excess of furniture sold in the shop. abstranct is a brief summary of a research article, thesis, review, conference proceeding or anydepth analysis of a particular subject or disipline, and is often used to help the reader quickly ascertain the paper purposes. When used, an abstract always appears at the beginning of a manuscript or typescript, acting as the point-of-entry for any given academic paper or patent application. Absatrcting and indexing services for various academic discipline are aimed at compiling a body of literature for that particular subject. Abstract length varies by discipline and publisher requirements. Abstracts are typically sectioned logically as an overview of what appears in the paper. Keywords: Information system, sales forecasting, double moving average, Jepara furniture store.
IMPLEMENTASI SISTEM PEMILIHAN GURU TERBAIK MENGGUNAKAN METODE SMART DAN BORDA BERBASIS WEBSITE Choirun Nizar, Reza; Anita Andriani
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9371

Abstract

Choosing the top educator serves as a recognition of the efforts of teachers who play a vital role in enhancing educational standards. The purpose of selecting the best teacher is to encourage motivation, dedication, responsibility, and professionalism among teachers. At SDN Blimbing, the process of selecting the best teacher is still done manually and uses only one assessment criterion, namely discipline. This causes the teacher selection process to be less objective and unstructured. As a solution to this problem, a web-based system for selecting the best teacher was designed by applying the SMART (Simple Multi Attribute Rating Technique) and BORDA methods. The SMART method is used to calculate the final score based on predetermined criteria, while the BORDA method is used to determine the teacher's ranking based on the voting results from several evaluators. The criteria used in this study include attendance, discipline, administrative completeness, teaching practice, and teaching obligations. The results of this study show that the developed system can simplify the teacher selection process automatically and produce objective teacher rankings. This system has also proven to improve accuracy and efficiency in decision-making. Based on data testing, the teacher with the highest ranking is Fitri Dwi Rahayu with a final score of 30.88, while the teacher with the lowest ranking is Hijrah Pua with a final score of 0.25.
PERANCANGAN SISTEM INFORMASI PERHITUNGAN PELANGGARAN SISWA MENGGUNAKAN METODE SAW BERBASIS WEBSITE (STUDI KASUS : SMP NEGERI 2 TEMBELANG) Ovi Fitri Satriyati; Anita Andriani; Ginanjar Setyo Permadi; Muhammad Fatkhur Rizal
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9422

Abstract

The implementation of school regulations plays an important role in shaping students' character and discipline. However, at SMP Negeri 2 Tembelang, the recording of student violations is still done manually by the guidance and counseling (BK) teacher, which makes the data prone to being lost, difficult to trace, and slow in supporting decision-making. This study aims to design and develop a web-based student violation scoring information system using the Simple Additive Weighting (SAW) method, which can assist the school in evaluating and classifying the level of violations objectively, quickly, and accurately. The SAW method is used to calculate violation scores based on several predetermined criteria, such as attitude and behavior, neatness, diligence, and the type of violation committed by the student. The system development process consists of the phases of requirements analysis, system design with UML, website implementation with PHP and MySQL and system testing with the black box method. The result of this research is a web-based information system application that can be used by administrators, BK teachers, classroom teachers, and guardians to record violations, calculate points, and display the results of classifying students' violation levels (mild, moderate, serious). The system is also equipped with an internal communication feature between school parties. System tests show that all functions work as expected. This system is intended to increase the efficiency of recording student violations and support the ongoing process of character development.  
Penerapan Graph Theory and Matrix Approach Sebagai Pendukung Keputusan Pemilihan Varietas Unggul Kedelai Lazulfa, Indana; Mufarrihah, Iftitaahul; Andriani, Anita; Widoyoningrum, Sri Widoyoningrum; Firdaus, Reza Augusta Jannatul
Progresif: Jurnal Ilmiah Komputer Vol 20, No 1: Februari 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i1.1572

Abstract

Soybean is a very important commodity in Indonesia because it usually used as the main daily meal protein source for the Indonesian people. Soybean has various varieties originating from within and outside the country. According to BPS data, soybean consumption increases by around 0.15 million tons per year. Meanwhile, in 2016, the amount of domestic soybean demand exceeded the amount of domestic soybean production, so the government imported it from outside the country. Even though there are 85 data on superior varieties released by Balitkabi, this does not guarantee that soybean production will increase. The decline in soybean production is also related to the constraints of agricultural land in Indonesia which is being massively transformed into residential land or other areas due to the fairly high population growth rate. This research aims to optimize soybean production through accurate selection of superior superb varieties. The method used in this research is a multicriteria decision making method, namely graph theory and matrix approach (GTMA). The results obtained were the 46 best varieties from 85 datasets based on certain criteria. The accuracy of GTMA shows an average of 86.95%. These results show that GTMA is a multi-criteria method that is feasible to implement.Keywords: Soybean; Multicriteria; Graph theory and matrix approach; Decision making   AbstrakKedelai merupakan komoditas yang sangat penting di Indonesia karena biasa dimanfaatkan sebagai sumber protein utama harian penduduk Indonesia. Kedelai memiliki beragam varietas yang berasal dari dalam dan luar negeri. Menurut data BPS, konsumsi kedelai meningkat sekitar 0.15 juta ton per tahun. Sedangkan pada tahun 2016, jumlah kebutuhan kedelai dalam negeri melebihi jumlah produksi kedelai dalam negeri sehingga pemerintah melakukan impor. Meskipun ada 85 data varietas unggul yang dirilis oleh Balitkabi tetapi hal tersebut tidak menjamin bahwa produksi kedelai meningkat. Penurunan prooduksi juga berkaitan dengan kendala lahan pertanian di Indonesia yang secara massif bertransformasi menjadi lahan pemukiman atau lainnya karena laju pertumbuhan penduduk yang cukup tinggi. Penelitian ini bertujuan untuk mengoptimalkan produksi kedelai melalui ketepatan pemilihan varietas unggul. Metode yang digunakan dalam penelitian ini merupakan metode pengambilan keputusan multikriteria yakni graph theory and matrix approach (GTMA). Hasil yang diperoleh adalah 46 varietas terbaik dari 85 dataset berdasarkan kriteria tertentu. Akurasi dari GTMA menunjukkan rata-rata sebesar 86.95%. Dari hasil tersebut menunjukkan bahwa GTMA merupakan metode multikriteria yang layak untuk diimplementasikan.Kata kunci: Kedelai; Multikriteria; Graph theory and matrix approach; Pendukung keputusanÂ