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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 5 Documents
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Search results for , issue "Vol. 5 No. 2 (2022): November" : 5 Documents clear
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.

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