Achmad Muchlis - Academia.edu (original) (raw)

Papers by Achmad Muchlis

Klasifikasi tanaman apel Anna (Malus domestica) menurut United States Department of Agricultural ... more Klasifikasi tanaman apel Anna (Malus domestica) menurut United States Department of Agricultural (2012), tanaman apel Anna termasuk dalam :

Arab Ianguage does not only come from words released by utterance ( vokal) but also uses Ianguage... more Arab Ianguage does not only come from words released by utterance ( vokal) but also uses Ianguage, signal or picture Ianguage. Language Arab study is expected to assist educative participants recognize x'self, his cultural, and others culture, media surah mutaharrikah mulawwanah represents one of the alternative media in efficacy of Arab Ianguage study. Teacher will feel to be assisted in arranging its study process. Media availibility,specially surah mutaharrikah mulawwanah in a class will influence the student study where location of appropriate media will support attainment process of the arab language study itself . Through research by using approach qualitative, with exploration technique or analysis descriptive with cases manner, about Arab Ianguage study bases on media surah mutaharrikah mulawwanah at CI+BI class specially in MTS Negeri Sumber Bungur Pamekasan to strengthen finding about study theory of more quality. Research result obtained show; a) that CI+BI class MTS ...

This research was conducted to solve the problem faced by second language learners (L2), especial... more This research was conducted to solve the problem faced by second language learners (L2), especially in writing since it has been a big problem which puts students into trouble as shown by errors made in organizing the composition and the language. The problem is stated as how the implementation of written feedback can improve the tenth grade students’ writing ability. The objective of this research is to find out written feedback can improve the Tenth Grade Students’ Writing Ability at MA Ma’arif NU Kencong in the 2015-2015 Academic Year”. This research was Classroom Action Research. The data was taken from observation and test and was analyzed using formula M = ΣX/N. The result showed that written feedback improves the students’ writing ability both the score and the active participation by giving valuable feedback in the form of symbol and abbreviation, and they can independently revise their writing from the feedback given by the teacher. It could help to remind the students’ err...

Skripsi Mahasiswa Ekstensi, Mar 21, 2014

Nama Peneliti/Mahasiswa ACHMAD MUCHLIS (G64104049) Judul Klasifikasi Dokumen Tumbuhan Obat Berbas... more Nama Peneliti/Mahasiswa ACHMAD MUCHLIS (G64104049) Judul Klasifikasi Dokumen Tumbuhan Obat Berbasis Famili Menggunakan Probabilistic Neural Network Judul ( English ) Clasification of Medical Plant Document Based on Family by Feature Selection Clasification using Probalistic Neural Netwok Pembimbing/Supervisor Yeni Herdiyeni and Ervizal AM Zuhud Abstrak/Ringkasan ACHMAD MUCHLIS. Clasification of Medical Plant Document Based on Family by Feature Selection Clasification using Probalistic Neural Netwok. Supervised YENI HERDIYENI and ERVIZAL AM ZUHUD. This research presents a system for the extraction of features and classification of the document medicinal plants using the chi-square method and neural network classification probalistic. Automation family identification by grouping characteristics medicinal plants contained in the document. In this research, the phase consists of collecting documents, doing conversion from hardcopy documents to softcopy into XML format, pre-process the document, featuring selection using the chi-square, document classification using PNN and evaluation using Confusion Matrix. Classification results are influenced by the number of family identifier words. Number of words identifier of a family affected by the same number of words in each document training. The more same words in each document training, the greater probability of the word being said identifier. In this research, identifier of a family does not describe the characteristics of plant taxonomy. This is due to the same number of words in each document has not practically described the characteristics of plant taxonomy. The evaluation research of classification algorithm Probalistic Neural Network (PNN) with weight value 1 and layer patterns using feature extraction using the chi-square values of alpha (α) value of 0.1 overall result of classification is 82.14%. This research represents a medical plant document system that can be used for automatic identification of families according to the taxonomy of plants.This system is useful to help users especially researchers and taxonomists in the identification document through labeling family automatically on each document, with the existing system, therefoe the users dont need to bring a book or a guide book to identify the field. Furthermore, it can overcome the limitations of people's knowledge of the diversity and the use of medicinal plants. That is because there are a lot of documents to train the same word in each document which is not characteristic of plant taxonomy. Keywords : chi-square, document classification, document identification, medical plant document, probalistic neural network classifier

Skripsi Mahasiswa Ekstensi, Mar 21, 2014