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INDONESIA
SISFOTENIKA
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Pontianak
ISSN : 20877897     EISSN : 24605344     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah SISFOTENIKA diterbitkan oleh LPPM STMIK Pontianak dan IndoCEISS. Frekuensi Terbit Tengah Tahunan (2 kali dalam setahun, yaitu bulan Januari dan Juli). Topik yang akan dipublikasikan oleh jurnal SISFOTENIKA berhubungan dengan teknologi informasi, komunikasi dan komputer yang berbentuk kumpulan/akumulasi pengetahuan baru, pengamatan empirik atau hasil penelitian, dan pengembangan gagasan atau usulan baru.
Arjuna Subject : -
Articles 239 Documents
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Evaluation of Maturity Level of IT Cost Efficiency and Its Contribution to Business Profit Selviana Yunita; Patmawati Hasan; Minarni Minarni; Eka Prasetyaningrum
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1215

Abstract

In order to improve competitiveness, the use of information systems in organizational business prosecesses is mandataory for business people. Agung Mas hotel is one of hotel located in strategic area in Yogyakarakat, with a heritage hotel concept that uphold culture but still provides comfort to customers by implementing information systems in their business processes. In implementation process of information system of Agung Mas Hotel, investment and cost efficiency has not been measured properly. IT governance is needed to determine the extent the used IT in order to achieve the company’s vision and mission. IT governance begins with measuring how well the IT governance is implementes by the company. This study aims to measure the maturity level of the company in IT governance. Balance scorecard is a framework used to assess organizational performance. COBIT and Balance scorecard can provide a parameter from a financial perspective and can be used as a reference for management to make improvments, especially in cost efficiency. The research was conducted by distributing questionnares to hotel employees and then processing the queationnare data to obtain the value of maturity level. Based on the research result, the mean score for PO5 was 2.64 and DS6 was 2.63.
Usability Test“Retail Pro 8” as Point of Sale using Heuristic Evaluation Arthareza Raja Prihatama; Joy Nashar Utama Jaya
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1242

Abstract

The Point of Sale application as one of the main auxiliary systems for retail companies that can increase sales and work efficiency, makes the need for an application system work well and can be done by anyone with the right training. The usability test conducted on the Retail Pro 8 system to prove how the system that has been used for more than 10 years by Gajahmada Supermarket helps employees to work effectively. With the Heuristic approach by Jakob Nielsen which explains 5 Usability for a system Efficiency, Learnability, Memorability, error and satisfaction are in the Retail Pro 8 system. The Usability value obtained with the PSSUQ questionnaire gets a good usability score of 3.86 with the heuristic evaluation test which only gets 2 problems that are commonly received by ordinary users using the Point of Sale Retail Pro 8 system.
Price Prediction of Vegetable Oil Kaggle Data with Multiple Linear Regression and Backpropagation Nur Nafi'iyah; Nela Nevrivanti Aulia
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1071

Abstract

Indonesia has an abundant agricultural sector. The agricultural sector is very abundant, one of which is coconut oil, palm oil. Oil prices are often uncontrolled fluctuations that cannot be determined based on parameters. The ups and downs of oil prices can be seen clearly from graphs and tables of previous data. Farmers who plant coconut and oil palm often experience losses due to the high cost of planting, but when harvesting the price drops. In order to reduce the losses experienced by farmers, we propose a vegetable oil price prediction system. The aim of this research is to predict the price of vegetable oil, starting from palm oil, coconut oil, fish oil, soybean oil, peanut oil, and sunflower oil by using multiple linear regression and Backpropagation methods. The data used is from Kaggle, with year and month input variables, from 2006 to 2018. The total dataset is 153 lines, used training 110 lines, and testing 43 lines. The results of our prediction of accuracy testing with MAPE, the average accuracy value of the multiple linear regression method is 0.385, and the average accuracy value of the Backpropagation method is 0.209. Based on the MAPE accuracy results, the multiple linear regression algorithm and Backpropagation show the best Backpropagation
Employee Attendance System with Face Recognition Nourman Satya Irjanto; Rully Oktavia Hermawan
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1148

Abstract

The attendance recording method that uses a fingerprint recognition system is felt to be a means of spreading the covid 19 virus and it is necessary to create a biometric attendance recording system using facial recognition. This study aims to build an employee attendance system that uses the concept of facial recognition because the existing manual attendance system is time consuming and impractical to maintain. This system consists of four phases - database creation, face detection, face recognition, attendance updates. The database is created using employee photos. Face detection and recognition is carried out using the HOG algorithm for face classification and SVM classification for face recognition. Faces are detected and recognized from the live webcam. Attendance will be recorded automatically into the document. The system after being tested has good accuracy, reaching 86.4% in the morning, and 88.8% in the afternoon, which is quite high accuracy and in future research it is hoped that the system can be built online so that employees can access the attendance system anywhere. and reports can be accessed anywhere online.
Diabetes Wound Perimeter Analysis Using Pixel Per Metric wien Fitrian Roshandri; Ema Utami
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1255

Abstract

The study was conducted to test the accuracy of pixel permetric (PPM)-based diabetic wound perimeter using canny edge, gaussian filter, streamlit, OpenCV, Python and aruco marker. K-Means is used to detect, classify and segment three types of wounds namely granulation, necrotics and slough. Images of wounds are taken directly on the patient so the dataset is primary data. Accuracy tests are carried out by comparing manual measurements against digital calculations. Manual measurements use mica as a sketch. The thread is used to shade the mica sketch and the length of the thread will be measured using a ruler. Aruco markers are used as a reference to the length of the object. The results of the study from 7 sample data received an average accuracy error of at least 0.49% and a maximum of 5.75%. This is influenced by various factors including validation of manual measuring results that are still less thorough, sharpness of the image, and calibration of the camera. Of the three types of tissue wounds, granulation is the most identifiable type, followed by slough, and the most difficult to identify is necrosis. The study concludes that the results of the accuracy-test have obtained a value that is in accordance with the problem limit, namely accuracy above 90%, with the independent T-test value homogeneous test is t_hitung< t_tabel equivalent to 0.005535 < 2.228 with a deviation of ꭤ = 0.05 so that it is concluded that there is no significant difference in the two-variable values of manual measurement to digital planimetry measurements. Further research can then test accuracy with artificial intelligence deep learning methods with sample datasets such as uNet, SegNet, and other methods 
Land Testing Service Ordering Information System with Extreme Programming Method Khaerul Azhar; Dewi Ayu Nur Wulandari
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1235

Abstract

Information Systems can support the implementation of activities in an organization. One example of the use of Information Systems in organizations is the application of technology in the form of information systems in ordering soil testing services at the Civil Engineering Laboratory of Pakuan University. The information system is needed to assist in ordering soil testing services to produce information that is fast, precise, accurate, and efficient. The software development model used in the creation of the information system is Extreme Programming using PHP and MySQL programming languages for database creation. The Extreme Programming method is used because the method is a software development model that tries to simplify various stages in the development process so that it becomes more adaptive and flexible. The information system for ordering soil testing services at the Civil Engineering Laboratory of Pakuan University was built can manage the data needed in the soil testing order process such as inputting test category data, input customer data, and inputting transaction data ordering soil testing services and printing the required reports. This Information System also has features that make it easier for customers to input on the testing service order form and can print proof of order which also contains reports of test results that have been carried out to make it easier when customers want to see the results of soil testing that has been carried out without having to come directly to the laboratory.
Design And Build An Educational Game Application For Learning English Based On Android M. Agung Oki Prayugo; Rika Rosnelly; Hetty Zahrani
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1176

Abstract

The media of teaching English in Indonesia is currently growing rapidly, especially with teaching that is taught from an early age to 4-year-olds. Then an educational game was created for learning English based on Android which would later be effectively used as a means of student learning. Current learning, especially in the world of education, still uses face-to-face media, therefore it is still difficult for students to use English vocabulary (Vocabulary) correctly because they still use book media only, and therefore students' lack of interest in learning English. This Android-based educational game will be designed with an attractive and interactive appearance and can be used effectively and efficiently in the world of education and society today. In this study, an educational game application in English will be built which will explain some vocabulary material in the form of English and games to increase children's interest in learning
Inventory System Application Design (Case Study: Shirouoshien Online Shop) Akhsani Taqwiym
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1198

Abstract

Current technological advances in the process of recording inventory are felt to be very necessary, especially if the recording is done manually. Shirouoshien is an online business, products are sold and offered online using social media. Shirouoshien's efforts to record products manually, often the data of incoming and outgoing goods is not recorded properly. The process carried out is that the goods arrive, then they are photographed, then the product is offered to consumers. Available products will be stored and will move if the product is sold. During the buying and selling process, the documentation of the number of products in the warehouse was not recorded properly. The problem that occurs in shirouoshien is because employees do not get information about the stock of goods available both in the warehouse and recorded online. The making of notes is sometimes not documented or even made, increasing the risk of damage or loss. Inventories of goods at Shirouoshien often experience stock differences. To overcome the problems in Shirouoshien, a website was designed using descriptive qualitative methods that aim to facilitate the documentation process both in terms of handling the process of printing notes, changing inventory data, searching for inventory data, making sales reports for a certain period, and other types of goods. Descriptive qualitative method is taking objects regarding the system of recording and data collection of goods inventory which is applied to the Shirouoshien online shop. With a qualitative approach, data on the entry and exit of goods can be found.
Clustering of Clean Water Needs in Indonesia for the 2012-2017 Period Using the K-Means Algorithm Daniati Uki Eka Saputri; Taopik Hidayat; Siti Masturoh
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1241

Abstract

The need for clean water is important to support all activities of human survival. Data from the Central Statistics Agency (BPS) in 2017 showed the highest number of clean water distribution in each province was only 72.04%. These data indicate that access to clean water to meet daily needs is still far from sufficient. This study aims to classify the need for clean water for the period 2012-2017 using the K-Means algorithm. The data source was obtained from the official BPS website, namely data on the volume of clean water distributed to each province in Indonesia in 2012-2017. The process of replacing missing values was carried out on the missing data, then the data were grouped into three clusters, namely low (C0) in 25 provinces, high (C1) in 4 provinces, and moderate (C2) in 5 provinces using the K-Means algorithm. The centroid value for the C0 cluster is 150588.24, the centroid data for the C1 cluster is 1939461, the centroid data for the C2 cluster is 857876.6. The results of the K-Means clustering were tested using the Davies Bouldin Index (DBI) Validation as many as 3 clusters with a value of 0.534, the cluster results were optimal because the DBI value was close to 0.
Use of Fulltext Indexing to Improve Data Search Efficiency in MYSQL Databases Ahmad Hajar; Ema Utami; Hanif Al Fatta
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1264

Abstract

 The process of searching for data is one of the needs of the system that is needed. With the more data, the search process will take longer. There are many ways to speed up the data search process, one of which is by utilizing the Full text index feature in the MySQL database. In this study, a search query will be tested on tables that have been indexed and on tables that have not been indexed. Researchers use the like operator to search for data on tables that are not indexed. Meanwhile, in the table given the index, the researcher uses a full text search with the match against syntax. The results of this study indicate that the full text search on a table that has been given an index is faster than a table that is not indexed. When the number of data is 466,000, searching in a non-index table takes 2,638.97 milliseconds. Meanwhile, the indexed table takes 89.14 milliseconds. Then the impact of giving an index to the table is that the insert process takes longer than the table that is not indexed. In the product index table when the data is 466,000, the insert time is 6,560.69 milliseconds. While the product non index table is 420.96 milliseconds. In future research, it is expected to look for other query testing methods and find out the accuracy between like operator and match against.

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