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RANCANG BANGUN SISTEM PAKAR DIAGNOSA PENYAKIT PADA BUAH SALAK BERBASIS WEB MENGGUNAKAN ALGORITMA BACKWARD CHAINING Akhmad Rozak Jari; Muhamad Fuat Asnawi
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 2 No. 1 (2023): Februari
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v2i1.1719

Abstract

Sistem pakar adalah sebuah sistem yang mengadopsi pengetahuan manusia dan di implementasikan ke dalam sebuah sistem komputer yang dirancang untuk memecahkan sebuah masalah seperti seorang pakar. Tanaman salak khususnya di daerah kalimendong Leksono Wonosobo memiliki beberapa jenis kendala seperti penyakit dan hama pada tanaman salak yang menjadi masalah bagi petani salak. Sistem pakar untuk mendiagnosa penyakit dan juga hama pada tanaman buah salak ini membantu para petani salak mengatasi masalah penyakit dan hama. Petani salak hanya perlu memasukkan gejalanya saja yang dialami pada tumbuhan salak nantinya data gejala yang akan diolah dimasukkan oleh sistem kemudian aplikasi melakukan identifikasi dengan sistem sebagaimana dikonsultasikan dengan seorang pakar tanaman buah salak untuk mengetahuinya penyakit dan hama yang menganggu tanaman salak dan mencari solusinya. Implementasi sistem yang dibuat memakai metode Backward Chainning, metode Backward Chainning yang diterapkan pada penelitian ini adalah pelacakan kebelakang yaitu memulai penalarannya dari tujuan/kesimpulan, dengan mencari sekumpulan hipotesis-hipotesis menuju fakta-fakta gejala penyakit yang ada pada buah salak.
EVALUASI DESAIN UI/UX BERDASARKAN ISO 9126 PADA APLIKASI PERPUSTAKAAN DARUL ILMI MTS NEGERI 1 WONOSOBO Fahrudin Abdul Ghoni; Muhamad Fuat Asnawi; Iman Ahmad Ihsannuddin
Journal of Economic, Business and Engineering (JEBE) Vol 4 No 2 (2023): April
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) Universitas Sains Al Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32500/jebe.v4i2.6141

Abstract

Perpustakaan Digital adalah sistem yang memiliki berbagai layanan mengenai informasi melalui perangkat digital. Penelitian ini digunakan untuk mengetahui hasil evaluasi desain UI/UX Pada aplikasi perpustakaan digital Darul Ilmi MTS Negeri 1 Wonosobo dengan menggunakan standar ISO 9126. ISO 9126 merupakan satu model kualitas dengan standar internasional yang memiliki 6 faktor karakterik yaitu functionality, reliability, usability, efficiency, Maintainability dan portability. Hasil dari penelitian ini dalam aspek functionality sebesar 82% (sangat setuju), dalam aspek reliability sebesar 84% (sangat setuju), dalam aspek usability sebesar 84% (sangat setuju), dalam aspek efficiency sebesar 82,7% (sangat setuju), dalam aspek Maintainability sebesar 81% (sangat setuju) dan dalam aspek portability sebesar 83% (sangat setuju), Berdasarkan dari analisisISO 9126 aplikasi perpustakaan digital Darul Ilmi MTS Negeri 1 Wonosobo sangat layak digunakan.
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%.