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All Journal Journal of Economic, Business and Engineering (JEBE) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Clean Energy and Smart Technology
Muhamad Fuat Asnawi
Universitas Sains Al-Qur'an
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Clean Energy and Smart Technology

 1 
Implementation Of Promotion Push Notifications in Ticket Booking Applications Using Forward Chaining Algorithm Muhamad Fuat Asnawi; Aletha Dhelvya
Clean Energy and Smart Technology Vol. 1 No. 1 (2022): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v1i1.5

Abstract

Waterfall is a leading tourist attraction in Winongsari Village, Kaliwiro District, Wonosobo Regency. This waterfall, named Curug Winong, has become a developing tourist spot. This research contains the design and development of promotion push notifications using the Forward Chaining method which is intended to help determine promotions. This application was developed using the PHP programming language with a MySQL database. This application determines the promotion with the conditions that have been determined. Based on dates, holidays, and other applicable conditions. system testing, namely black box and white box testing.
DATA MINING TO PREDICTE THE TIME OF KHATAMAN TAHFID STUDENTS TAHFID PPTQ AL-ASY'ARIYYAH USING C4.5 ALGORITHM Muhamad Maulana Ikhsanul Khafidli; Muhamad Fuat Asnawi; Adi Suwondo; Sukowiyono; Dimas Prasetyo Utomo
Clean Energy and Smart Technology Vol. 1 No. 2 (2023): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v1i2.39

Abstract

PPTQ Al-Asy'ariyyah is an Al-Qur'an-based Islamic boarding school where most students memorize the Al-Qur'an. This study uses data mining to calculate how many students are late in completing their memorization and the factors that influence it by using the C4.5 algorithm. Algorithm C4.5 has a decision that can give the desired result. The results of this study found several factors that influence the punctuality of khatam and several factors. Of the 250 students located, 96 could complete their memorization on time, and 154 were off target or on time. Based on what was obtained from the study results, the timeliness of completing the completion is sufficient.
EXPERT SYSTEM TO DIAGNOSE COW DISEASE USING WEBSITE-BASED DEMPSTER-SHAFER ALGORITHM Mufa’at Hadi Rosid; Muhamad Fuat Asnawi; Nur Hasanah
Clean Energy and Smart Technology Vol. 2 No. 1 (2023): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i1.46

Abstract

Cows are one of the livestock whose existence can meet various kinds of human needs because they are the main producer of animal protein such as meat or milk. However, there are problems that cause failure in running a cattle farm. One of the problems is the health factor of the cattle which is disturbed due to a disease. Limited knowledge and livestock health workers become an obstacle for cattle breeders in analyzing the possibility of disease affecting cattle based on the symptoms that appear. For this reason, an expert system was built that can diagnose cow disease based on a website which can later be an alternative when someone has limited access to experts to diagnose the disease he is suffering from. The dempster-shafer algorithm was chosen because it is able to provide certainty in performing diagnostic calculations. From the results of this study, an expert system for diagnosing cattle disease has been developed using the PHP programming language which can implement the algorithm and can run well, as evidenced by passing the testing phase using the black box test method and also successfully passing the accuracy test with experts. with a percentage of 86.67%.
Co-Authors Akhmad Rozak Jari Aletha Dhelvya dimas prasetyo utomo Fahrudin Abdul Ghoni Iman Ahmad Ihsannuddin Mufa’at Hadi Rosid Muhamad Maulana Ikhsanul Khafidli Nur Hasanah Sukowiyono Suwondo, Adi