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Scientific Journal of Informatics
Published by Universitas Negeri Semarang
ISSN : 24077658     EISSN : 24600040     DOI : -
Core Subject : Science,
Computer Science & IT
Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
Arjuna Subject : -
Articles 564 Documents
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Aplikasi Matrix Labolatory untuk Perhitungan Sistem Antrian dengan Server Tunggal dan Majemuk Anam, Nafiul; Hendikawati, Putriaji
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3642

Abstract

Penelitian ini mengembangkan program aplikasi komputer dengan Matrix Labolatory (Matlab) sebagai alat bantu untuk menghitung aplikasi teori antrian. Program aplikasi yang dirancang dapat digunakan untuk menghitung berbagai komponen antrian seperti laju kedatangan dan pelayanan serta distribusinya, probabilitas pelayan menganggur, jumlah pelanggan serta waktu tunggu dalam antrian. Berdasarkan analisis dan perancangan program, perhitungan antrian yang dilakukan memiliki ketepatan hasil yang sama terhadap perhitungan secara teoretis dan mampu meningkatkan efisiensi waktu dalam perhitungan aplikasi sistem antrian. Program yang dibuat pada penelitian ini hanya terbatas untuk menghitung model antrian server tunggal dan majemuk dengan laju kedatangan berdistribusi poisson dan laju pelayanan berdistribusi eksponensial, untuk itu perlu pengembangan program lebih lanjut untuk model antrian dengan laju kedatangan dan pelayanan yang tidak memenuhi asumsi distribusi poisson dan eksponensial. 
Implementation of Data Mining using Naïve Bayes Classifier Method in Food Crop Prediction Arifin, Oki; Saputra, Kurniawan; Fathoni, Halim
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.28354

Abstract

Purpose: This study aims to developed modeling to prediction system of food crops by data mining, with Naïve Bayes Classifier (NBC), which expected will give information and can use by the farmer and industrial food crops. Methods: On classification, progress attributes that use there is the temperature (°C), humidity (%), rainfall (mm), photoperiodicity (hour), and production result (ton) as a class attribute. The data of research that getting there are climate data and yield of food crops by data from the Central Bureau of Statistics (BPS) and the Meteorology, Climatology and Geophysics Agency (BMKG) from 2010 to 2017 at Lampung Province. Data of food crops used in this research there are paddy, maize, and soybean. Result: The research results about the average accuracy of modeling that development using the 10-fold cross-validation method, that had an accuracy value of 72.78% and Root Mean Square Error (RMSE) there is 0.438. Novelty: Prediction system of food crops by data mining.
Comparison of Dynamic Programming Algorithm and Greedy Algorithm on Integer Knapsack Problem in Freight Transportation Sampurno, Global Ilham; Sugiharti, Endang; Alamsyah, Alamsyah
Scientific Journal of Informatics Vol 5, No 1 (2018): May 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i1.13360

Abstract

At this time the delivery of goods to be familiar because the use of delivery of goods services greatly facilitate customers. PT Post Indonesia is one of the delivery of goods. On the delivery of goods, we often encounter the selection of goods which entered first into the transportation and  held from the delivery. At the time of the selection, there are Knapsack problems that require optimal selection of solutions. Knapsack is a place used as a means of storing or inserting an object. The purpose of this research is to know how to get optimal solution result in solving Integer Knapsack problem on freight transportation by using Dynamic Programming Algorithm and Greedy Algorithm at PT Post Indonesia Semarang. This also knowing the results of the implementation of Greedy Algorithm with Dynamic Programming Algorithm on Integer Knapsack problems on the selection of goods transport in PT Post Indonesia Semarang by applying on the mobile application. The results of this research are made from the results obtained by the Dynamic Programming Algorithm with total weight 5022 kg in 7 days. While the calculation result obtained by Greedy Algorithm, that is total weight of delivery equal to 4496 kg in 7 days. It can be concluded that the calculation results obtained by Dynamic Programming Algorithm in 7 days has a total weight of 526 kg is greater when compared with Greedy Algorithm.
Implementation of Evolution Strategies (ES) Algorithm to Optimization Lovebird Feed Composition Rizki, Agung Mustika; Mahmudy, Wayan Firdaus; Yuliastuti, Gusti Eka
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.9003

Abstract

Lovebird current society, especially popular among bird lovers. Some people began to try to develop the cultivation of these birds. In the cultivation process to consider the composition of feed to produce a quality bird. Determining the feed is not easy because it must consider the cost and need for vitamin Lovebird. This problem can be solved by the algorithm Evolution Strategies (ES). Based on test results obtained optimal fitness value of 0.3125 using a population size of 100 and optimal fitness value of 0.3267 in the generation of 1400. 
Diagnosis of Lung Disease Using Learning Vector Quantization 3 (LVQ3) Midyanti, Dwi Marisa
Scientific Journal of Informatics Vol 7, No 2 (2020): November 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i2.25368

Abstract

Lung disease is one of the diseases with the highest number of patients in Indonesia. Lung disease is a disease with many types and symptoms that are almost the same as each other. This study uses an artificial neural network Learning Vector Quantization 3 (LVQ3), to diagnose lung disease. The data used in this study were 113 medical records, with seven types of lung disease, and 27 symptoms of the disease. From the experimental results, the best LVQ3 parameters from this study are using m = 0.15, and the learning rate = 0.15. LVQ3 produces the best accuracy value for training data at 87.5% of 80 data, and accuracy for test data 88% of 33 data.
Alat Ukur Parameter Tanah dan Lingkungan Berbasis Smartphone Android Mulyana, Agus; Sofyan, Syam
Scientific Journal of Informatics Vol 2, No 2 (2015): November 2015
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v2i2.5085

Abstract

Jenis tanah dalam suatu wilayah dapat berbeda jenis tergantung dari kontur dan letak wilayah. Sebagai contoh, pemilihan jenis tanah yang tepat dapat menentukan tingkat keberhasilan bercocok tanam. Faktor yang dapat menjadi parameter keberhasilan diantaranya suhu lingkungan, kelembaban lingkungan, kandungan air dalam tanah, ketinggian lahan, kemiringan kontur tanah, serta lokasi lahan. Saat ini belum terdapat alat ukur terintegrasi yang dapat mengetahui parameter-parameter yang diperlukan seperti suhu, kelembaban, kandungan air dalam tanah, kemiringan lahan, ketinggian lahan, serta luas dan keliling lahan. Dengan pemilihan lahan yang tepat guna, akan meminimalisir akibat dari penyalahgunaan lahan seperti bencana alam dan kerusakan lingkungan. Alat ukur ini dapat menampilkan hasil pengukuran luas, keliling, suhu, kelembaban, kelembaban tanah, dan lokasi dari lahan. Smartphone Android menjadi bagian utama dalam alat ini sebagai pengukur luas dan keliling berdasarkan data latitude dan longitude yang bersumber dari sensor Global Positioning System (GPS) Smartphone menggunakan metode Haversine. Sensor suhu dan kelembaban yang digunakan adalah DHT-22 serta sensor Soil Moisture. Kedua sensor tersebut dibaca oleh mikrokontroler Arduino Nano. 
Augmented Reality Using Brute Force Algorithm for Introduction to Prayer Movement Based Furqan, Mhd; Ikhsan, Muhammad; Nasution, Irma Yunita
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.29472

Abstract

Proposed: Prayer is compulsory to worship for Muslims around the world. Prayer is a mandatory commandment from Allah SWT. However, the companions and the Madzhab of Islam have a different opinion but remain Saheeh as long as it does not stray away from the teachings of the Prophet and Al-Quran. This prayer movement consists of the prayer movement of the Madzhab, Imam Shafi'i, Imam Hanafi, Imam Hambali, and Imam Maliki. The Marker used 9 pieces with pictures of each movement. One marker has several shapes of the movements that are several object targets are listed in it. Methods: The Brute Force algorithm used is to match the String value. The Brute Force algorithm can recognize well any String value that is matched to the marker and data from the database. This algorithm is applied to Augmented Reality technology. This app is built using Augmented Reality technology that combines real-world and virtual worlds. Results: This technology is well recognized applied from the Brute Force algorithm, which can validate the match result String value between the database and marker. Novelty: This technology uses the camera to find suitable markers in order to display 3D objects if the marker and the database match. So that this built system can facilitate many circles in learning the prayer movements based on the prayer movement version of islamic high priest.
Digital Evidence Identification on Google Drive in Android Device Using NIST Mobile Forensic Method Yudhana, Anton; Umar, Rusydi; Ahmadi, Ahwan
Scientific Journal of Informatics Vol 6, No 1 (2019): May 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i1.17767

Abstract

The use of cloud storage media is very popular nowadays, especially with the Google Drive cloud storage media on smartphones. The increasing number of users of google drive storage media does not rule out the possibility of being used as a medium for storing illegal data, such as places to store negative content and so on. On a smartphone with an Android operating system that has a Google Drive application installed, digital evidence can be extracted by acquiring and analyzing the system files. This study implemented a mobile forensic method based on guidelines issued by the National Institute of Standards of Technology (NIST). The results of this study are presented in the form of data recovery in the deleted Google Drive storage media, which results in the form of headers of the data type in the form of deleting account names, deleted file types, and timestamp of deleted files. Digital evidence obtained with 59 Axiom Magnet software found in the Entry227 file, with 46 files, if the percentage is a success rate of 77%.
Comparison of Patterns Shapes and Patterns Texture for Identification of Malaria Parasites in Microscopic Image Kusanti, Jani; Santosa, Yusuf Zain
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7917

Abstract

Identification of malaria parasites in red blood cells has been done, with the aim of as tools to identify experts microscopic parasites more quickly. This study aimed to compare the level of accuracy in the results to identify and classify parasites based on the pattern shape and texture patterns. The comparison is based on the characteristics of the pattern used, the steps being taken in this study is the image quality improvement process, the process of segmentation with Otsu method, feature extraction process on the image data to be tested. The process of pattern recognition and pattern shapes texture. The last step is to test the identification and classification of plasmodium falciparum parasite into 12 classes using methods Learning Vector Quantization (LVQ). The results of this study indicate that the pattern forms can provide a higher level of accuracy compared to LVQ texture pattern. LVQ with input shape pattern successfully identified 91% of image data correctly and input texture successfully identified 48% of image data properly.
Decision Support System for Evaluation of Peatland Agroecology Suitability in Pineapple Plants Putra, Fiqhri Mulianda; Sitanggang, Imas Sukaesih; Sobir, Sobir
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.23819

Abstract

A Pineapple (Ananas comosus (L.) Merr.) It is one of the leading commodities in the Indonesian horticultural sub-sector. Based on data from PDSIP in the last 5 years the development of pineapple production has increased but not too high as well as the harvested area. One of the areas that cultivate pineapple plants in Riau Province is Kampar Regency. Its production in 2015 was 8,482 tons, down from 20,046 tons in 2013. However, this amount is not optimal considering the area in Kampar Regency is still large enough for pineapple cultivation. Kampar District has a potential peatland of around 191,363 ha. About half of the area is thin peat, while the rest varies from moderate to deep peat. The success or failure of peatland management for cultivated land is highly dependent on the condition of its characteristics and the mastery and scientific understanding of the character of peat. This shows the need to evaluate the carrying capacity of land-based on its suitability so that it can be used as a guide in wise land-use planning. This study aims to create a fuzzy inference system model with Mamdani method in determining the agroecological suitability of peatlands for pineapple plants, this is due to the target class of land suitability parameters based on FAO provisions, namely S1, S2, S3, and N. Based on the obtained model, decision support systems will be developed for the suitability of peatland agroecology for pineapple plants.

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