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JOINCS (Journal of Informatics, Network, and Computer Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 25415123     DOI : https://doi.org/10.21070/joincs
Core Subject : Science,
Computer Science & IT
JOINCS publishes original research papers in computer science and related subjects in system science, with consideration to the relevant mathematical theory. Applications or technical reports oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. JOINCS also welcomes research contributions on the traditional subjects such as : Theory of automata, algorithms and its complexity. But not limited to contemporary subjects such as: • Big Data • Internet of thing (IoT) • Parallel & distributed computing • Computer networks and its security • Neural networks • Computational learning theory • Database theory & practice • Computer modelling of complex systems • Decentralized Systems • Information Management in the Enterprise Context • Database related technical solutions for Information Quality • Information Quality in the context of Computer Science and Information Technology • Game Techology • Information System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 79 Documents
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Decision Support System for Determining the Best Santri Using the SAW Method: Sistem Pendukung Keputusan Penentuan Santri Terbaik Dengan Metode SAW Malik, Kamil; Sya’roni, Wahab
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 5 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v5i2.1599

Abstract

The I'dadiyah Az-zainiyah institution is an institution devoted to new students of the Nurul Jadid Islamic Boarding School Paiton Probolinggo at the junior and senior high school levels. This institution is devoted to new students who do not have a foundation in religion. To give appreciation to the students of the I'dadiyah Az-zainiyah Institute so that Santi is more enthusiastic to study religious knowledge every semester, the best students will be selected to be awarded in the form of scholarships. However, from the large number of participants, the management of the I'dadiyah Az-zainiyah Institution has difficulty determining the best participants because there are several variables that must be compared between one santri and another, so there is often a delay in the announcement of the best participants which results in delays in prospective students who get scholarships. from several schools under the auspices of the Nurul Jadid Islamic Boarding School. Seeing this, it is necessary to have a method that can make it easier for the administrators of the I'dadiyah Az-zainiyah Islamic Boarding School Nurul Jadid to determine the best new students or new students. The method taken by the researcher is the Simple Additive Weighting (SAW) decision support system method.
Design and Build a Web-Based Guestbook Case Study Gresik Regency Education Office: Rancang Bangun Buku Tamu Berbasis Web Studi Kasus Dinas Pendidikan Kabupaten Gresik Riyadi, Slamet; Astutik, Ika Ratna Indra
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 5 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v5i2.1601

Abstract

This research was conducted at the Gresik Regency Education Office, namely how to design a Web-Based Guestbook and Guest Complaints Information System at the Gresik Regency Education Office. The management of guest data and guest complaints is still very conventional, so delays often occur in visiting services and in conducting guest complaint consultations. The purpose of this research is to make it easier for employees to process guest data and consult guest complaints and to make it easier for guests to register guest data and guest complaints wherever they are. This study uses the Waterfall method. The stages of the waterfall are analysis, system, coding design and testing. Methods of data collection through interviews and observation, literature study. The results of this study are to make it easier to register guests and submit/consult guest complaints and manage guest data, guest complaints.
Implementation of the Triple Exponential Smoothing Method for Predicting Helmet Sales: Implementasi Metode Triple Exponential Smoothing untuk Prediksi Penjualan Helm Saputro, Ronggo Bayu; Kartika, Kurnia Paranita; Puspitasari, Wahyu Dwi
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 5 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v5i2.1607

Abstract

Helmet stock at the Trend Helmet store is very important to prepare, because it is for the readiness of goods to be sold in the future. Therefore, it is necessary to do forecasting to find out the estimated stock in the future. The method that can be used to predict the stock of goods for several periods at once is Triple Exponential Smoothing. Helmet stock forecasting results with Cargloss helmet sales data obtained a forecast for 2022. Alpha, beta and gamma used in this study were 0.3. Cargloss helmet sales forecast results in January as many as 379, February as many as 449, March as many as 431, April as many as 500, May as many as 483, June as many as 552, July as many as 534, August as many as 604, September as many as 586, October as many as 656, November as many as 638 , December as many as 707. The results of the calculation of accuracy with Mean Absolute Percentage Error with Alpha, Beta and Gamma values of 0.3 are 44.4%. Based on the value of Mean Absolute Percentage Error helmet sales forecasting with Triple Exponential Smoothing method is feasible to use.
Expert System for Diagnosing Diseases in Tomato Plants Using a Website-Based Forward Chaining Method : Sistem Pakar Mendiagnosa Penyakit pada Tanaman Tomat menggunakan Metode Forward Chaining Berbasis Website Roni, Katrina Rambu Bangi; Hariadi, Fajar
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 5 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v5i2.1609

Abstract

Tomato plant is one of the plants in agriculture that is widely cultivated in Indonesia, one of which is in East Sumba Regency. The problem that is often faced is the lack of knowledge and facilities for tomato farmers which are still limited in dealing with diseases in these tomatoes. To diagnose tomato plant diseases that attack through the symptoms they cause, a tomato plant expert is needed to analyze and diagnose. Currently farmers often ignore tomato diseases due to lack of knowledge. They assume it's finally happening in the planting phase, tomato pest and disease experts are reduced, they don't know how to control and eliminate decreased productivity. In this case, to help farmers know the type of disease that attacks, an expert system is needed to help diagnose tomato plant diseases and provide the right solution in handling the disease using the Forward Chaining method. In the Forward Chaining method, the data search process starts from the premise to the final conclusion. Based on the test results, it can be seen that the probability value for the accuracy of the expert system produced is capable of having a percentage of 100%, from the calculation of the 8 types of the same disease, for inaccuracy so that this expert system can be stated to have been running well.
Expert System for Diagnosing Cow Disease Using Web-Based Forward Chaining Method: Sistem Pakar Diagnosa Penyakit Sapi Menggunakan Metode Forward Chaining Berbasis Web Ma’ruf , Mohammad Rizal; Eviyanti, Ade
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 5 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v5i2.1610

Abstract

Media Technology and Information is currently developing quite quickly and well. Some people and even almost all of the surrounding community are familiar with technology, especially in the science of artificial intelligence. With this expert system, it can help alleviate the need when it is difficult to meet experts, especially livestock specialist diseases. The purpose and benefits of this expert system is to make it easier for researchers to identify livestock disease problems based on the symptoms suffered by cattle. The identification method used in this system is the Forward Chaining Method and collects symptom data from several sources and verified journals. The desired result of this research is the reduction of disease or outbreaks that occur in Livestock Cattle and provide prevention and treatment solutions so as not to be attacked by diseases and outbreaks.
Testing The Accuracy of Fingerprint Recognition using Levenshtein Distance and Hamming Distance Methods : Uji Ketepatan Pengenalan Sidik Jari dengan Metode Levenshtein Distance dan Hamming Distance Ginantaka, Gregorius Sakti; Saputra, Laurentius Kuncoro Probo; Suwarno, Sri
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 1 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i1.1612

Abstract

The presence or evidence of attendance is crucial in monitoring the presence of every individual working in a particular field. Developing an employee attendance system using fingerprints can expedite the processing of data of employees who have or have not attended. One brand of machine used as a fingerprint attendance tool is Fingerspot Flexcode. The data obtained from the machine comes in the form of bitmap images that are converted into strings using encoding. Although the resulting string sequences are different, there is a possibility of similarity in fingerprint data among employees because the system cannot distinguish data precisely. Therefore, the comparison between the Levenshtein Distance and Hamming Distance methods is used to determine which method has the highest accuracy in processing the system's calculation. The method with the highest accuracy will determine the level of compatibility of the method with the tested tool. For example, 6 fingerprint data are taken from each of the 7 different employees, resulting in a total of 42 data as test data. The calculation results show that the accuracy of the Levenshtein Distance method is 80,76 % with a precision of 46,43 %, while the Hamming Distance method is 78,34 % with a precision of 30,50 % in processing string similarity in fingerprint data. Based on these results, it can be concluded that the Levenshtein Distance method is better in calculating similarity in fingerprint data compared to the Hamming Distance method because it has a higher level of accuracy and precision compared to the Hamming Distance method.
Implementation of Internet of Things (IoT) in Smart Medicine Box for the Elderly : Implementasi Internet of Things (IOT) pada Kotak Obat Pintar untuk Lansia Susanto, Yeremia Yudha Setia Graha; Restyandito; Saputra, Laurentius Kuncoro Probo
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 1 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i1.1614

Abstract

Consuming medicine on time is important for people who are sick. Medicine that prescribed by a doctor or pharmacist have various kind of rules, for example some medicine must be taken 3 times a day, 2 times a day, and 1 time a day, then there are rules after eating or before eating. Patients treated in the hospital are supervised by nurses, doctors, and receive more supervision from the hospital, but what if the patient is outpatient and the patient is an elderly person. With the presence of IoT technology that is not too expensive, a smart medicine box was made to be used to remind outpatients to take medicine which implements IoT technology and the android application used to manage the pillbox. The medicine box can remind patients to take medicine with the alarm module that is in the smart medicine box. System Usability Scale (SUS) is used to measure the success of the application. Smart medicine box is tested directly with data created to test the existing system. The result of testing the smart medicine box with existing data show that for each existing case, the smart medicine box system runs as it should. Application test results from all respondents received an average score of SUS 73,75. The score results show that the application can be accepted, get a grade scale worth B, and get good grades.
Information System for Processing Police Report Data at the North Gorontalo Police Women and Children Protection Unit: Sistem Informasi Pengolahan Data Laporan Polisi Pada Unit Perlindungan Perempuan Dan Anak Polres Gorontalo Utara Suleman, Fitriyanti; Tue, Noviyanti; Talib, Maryati Kadir
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 1 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i1.1615

Abstract

Designing an Information System for Processing Police Report Data at the Women and Children Protection Unit of the North Gorontalo Police, so that it can assist officers in collecting large numbers of reports, and can present reports quickly. The method used is the Research and Development (R&D) method. The system is made with PHP and HTML programming. The database used is the MySql language. For modeling using UML (Unified Modeling Language). For testing this system using white box and black box testing where with this test the correct graph flow is obtained as a sample the researcher tests the Input Data flowchart Report on the admin system obtained is the value of region (R) = 3, Independent path = 3, and Cyclomatic Complexity (CC) = 3.
Information System of Staple Material Sales in Website-Based Online on Tulangan Market (Case Study: Pak Latief's Shop) : Sistem Informasi Penjualan Bahan Pokok pada Pasar Tulangan secara Online Berbasis Website (Studi Kasus : Toko Pak Latief) Mulyansyah , Muhammad Febri; Astutik, Ika Ratna Indra
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 1 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i1.1621

Abstract

Developments in the economic sector so far have had quite rapid consequences in the business world, this has resulted in differences in sales at the market level. The market itself is a meeting place for buyers and sellers to make buying and selling transactions of goods or services. Tulangan Market is a traditional market located in the District of Tulangan, Sidoarjo Regency, East Java Province. In the Reinforcement Market there are several types of sellers such as retail traders, wholesalers and kiosks which are scattered in almost all corners of the market. The Tulangan market is also not much different from markets in general which sell daily needs such as food ingredients in the form of fish, fruit, vegetables, eggs, meat, cloth, electronic goods, services, etc. Besides that, it also sells traditional cakes and other Indonesian food. Not all traders in the Reinforcement Market can carry out the buying and selling process freely, especially during erratic rainfall. This creates problems in the sales process factors for traders. After knowing this problem, the author wishes to help traders who do not have their own trading area so that they can run their business stably and smoothly. With the current rapid world of technology, the authors hope that traders can use web pages that are familiar to many people to alleviate their problems through the "Website-Based Market Information System Case Study of the Sidoarjo Tulangan Market".
Fuzzy Salt and Pepper Noise Removing for Color Images: Penghilang Noise untuk Gambar Berwarna menggunakan Fuzy Salt and Paper Jalal, Adel
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 1 (2023): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i1.1623

Abstract

Within the field of digital image processing applications, observed images frequently exposed to noise corruption stemming from image acquisition or transmission processes. This noise degradation reduces image quality and yields unfavorable outcomes in subsequent processing stages (e.g., segmentation, pattern recognition, and enhancement). Consequently, the mitigation of noise in images assumes paramount importance in the domain of image processing. This study introduces an algorithm centered around fuzzy logic for removing impulse noise from color images. The efficiency of the proposed algorithms is assessed by comparing their performance against various noise reduction methods. Objective metrics, namely peak signal-to-noise ratio and mean square error, substantiate that the proposed algorithms yield commendable outcomes in noise reduction and the preservation of intricate image details across a wide spectrum of noise densities

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