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All Journal Foristek Semantik International Journal of Advances in Intelligent Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH MATEMATIKA DAN TERAPAN Technomedia Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Indonesian Journal of Electrical Engineering and Computer Science
Mohammad Yazdi
Universitas Tadulako
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Sistem Pakar Fuzzy Penentuan Kualitas Kakao Yazdi, Mohammad; Handono, Gunawan Feri
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol 2, No 2 (2013)
Publisher : Jurusan Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.761 KB) | DOI: 10.23887/janapati.v2i2.9798

Abstract

Kakao (Theobroma cocoa L) adalah salah satu komoditas yang mempunyai nilai ekonomis tinggi terutama untuk ekspor dan sangat potensial untuk dikembangkan menjadi komoditas ekspor unggulan. Faktor yang paling menentukan terhadap keberhasilan produk kakao untuk diterima di pasar adalah faktor kualitas. Kualitas kakao dipengaruhi oleh kandungan Kadar air, Jamur, Kotoran dan Jumlah biji dalam seratus gram. Pasar internasional memiliki tuntutan kualitas yang sangat baik, sementara untuk kualitas dibawahnya diperuntukkan bagi pasar lokal. Penelitian ini bertujuan menghasilkan suatu sistem pakar untuk menentukan kualitas kakao. FIS yang digunakan untuk penentuan kualitas kakao adalah metode Mamdani. Metode mamdani memiliki 4 tahapan yaitu: pembentukan himpunan fuzzy, aplikasi fungsi implikasi, komposisi dan defuzzy. Hasil dari penelitian adalah sebuah Sistem Pakar Fuzzy yang mampu menentukan kualitas kakao berdasarkan kriteria-kriteria yang mempengaruhikualitas kakao.
E-LEARNING SEBAGAI MEDIA PEMBELAJARAN INTERAKTIFBERBASIS TEKNOLOGI INFORMASI Yazdi, Mohammad
FORISTEK : Forum Teknik Elektro dan Teknologi Informasi Vol 2, No 1 (2012)
Publisher : FORISTEK : Forum Teknik Elektro dan Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.499 KB)

Abstract

The development of science and technology, especially information technology, internet use in education continues to grow. Use of the Internet is not just for distance education, but also developed in the conventional education system. E-learning is a learning model that is created in digital format through an electronic device. Purpose of the use of e-learning in the learning system is to expand access to education public, so that learning modules can be accessed easily, without diabatasi space and time, interactive, and effective. In this paper a prototype using a software development methodology that emphasizes the approach to aspects of design, functionality and user-interface. The final product is expected to be a module-based learning application of information technology. Key words: Internet, the quality of education, information technology, e-learning
IMPLEMENTASI WEB-SERVICE PADA SISTEM PELAYANAN PERIJINAN TERPADU SATU ATAP DI PEMERINTAH KOTA PALU Mohammad Yazdi
Semantik Vol 2, No 1 (2012): Prosiding Semantik 2012
Publisher : Semantik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.571 KB)

Abstract

Sistem Pelayanan Perijinan Satu Atap adalah aplikasi yang dimaksudkan untuk memberikan informasi dan pelayanan perijinan bagi masyarakat dengan memanfaatkan peran teknologi informasi dan komunikasi, sehingga pelayanan publik dapat tercapai dengan optimal dalam transformasi Government menuju e-Government. Untuk itu, bentuk layanan perijinan meliputi pendaftaran dan perijinan, persyaratan untuk memperoleh ijin, prosedur perijinan, biaya dan waktu proses perijinan yang diperlukan. Pengembangan sistem ini belum sepenuhnya dapat mengintegrasikan sistem yang telahada dalam proses penyelenggaraan pelayanan perijinan sehingga perlu dikembangkan dengan menerapkan teknologi webservices. Dengan solusi tersebut, dihasilkan Sistem Informasi Pelayanan Terpadu berbasis Web Services di Pemerintah Kota Palu.Metode yang digunakan dalam menyelesaikan masalah ini adalah metode siklus hidup pengembangan sistem informasi(Life Circle System Development Methodology) dengan pemodelan sistem meliputi perancangan logic sistem aplikasi, arsitektur sistem, dan perancangan visual modelling. Perancangan visual modelling mencakup use-case diagrams, class diagrams, sequence diagrams, collaboration diagrams, dan deployment diagrams.Paper ini membahas tentang penerapan teknologi web service untuk melakukan integrasi sistem informasi pelayanan perijinan terpadu satu atap dari bebrapa sistem informasi perijinan yang ada dengan platform yang berbeda.Kata Kunci : Web-service, Teknologi Informasi, e-Government, LCSD
Anomaly detection on flight route using similarity and grouping approach based-on automatic dependent surveillance-broadcast Mohammad Yazdi Pusadan; Joko Lianto Buliali; Raden Venantius Hari Ginardi
International Journal of Advances in Intelligent Informatics Vol 5, No 3 (2019): November 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i3.232

Abstract

Flight anomaly detection is used to determine the abnormal state data on the flight route. This study focused on two groups: general aviation habits (C1)and anomalies (C2). Groups C1 and C2 are obtained through similarity test with references. The methods used are: 1) normalizing the training data form, 2) forming the training segment 3) calculating the log-likelihood value and determining the maximum log-likelihood (C1) and minimum log-likelihood (C2) values, 4) determining the percentage of data based on criteria C1 and C2 by grouping SVM, KNN, and K-means and 5) Testing with log-likelihood ratio. The results achieved in each segment are Log-likelihood value in C1Latitude is -15.97 and C1Longitude is -16.97. On the other hand, Log-likelihood value in C2Latitude is -19.3 (maximum) and -20.3 (minimum), and log-likelihood value in C2Longitude is -21.2 (maximum) and -24.8 (minimum). The largest percentage value in C1 is 96%, while the largest in C2 is 10%. Thus, the highest potential anomaly data is 10%, and the smallest is 3%. Also, there are performance tests based on F-measure to get accuracy and precision.
E-LEARNING SEBAGAI MEDIA PEMBELAJARAN INTERAKTIF BERBASIS TEKNOLOGI INFORMASI Mohammad Yazdi
Foristek Vol. 2 No. 1 (2012): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of science and technology, especially information technology, internet use in education continues to grow. Use of the Internet is not just for distance education, but also developed in the conventional education system. E-learning is a learning model that is created in digital format through an electronic device. Purpose of the use of elearning in the learning system is to expand access to education public, so that learning modules can be accessed easily, without diabatasi space and time, interactive, and effective. In this paper a prototype using a software development methodology that emphasizes the approach to aspects of design, functionality and user-interface. The final product is expected to be a module-based learning application of information technology.
DESAIN DATAWAREHOUSE AKADEMIK UNTUK MENDUKUNG SISTEM ADMINISTRASI DATA AKADEMIK DI UNIVERSITAS TADULAKO Mohammad Yasdi
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 6 No. 2 (2009)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2009.v6.i2.23

Abstract

Data akademik adalah bagian yang penting dalam administrasi dan manajemen suatu institusi. Demikian halnya untuk Data Akademik di Universitas. Lemahnya pengelolaan sistem akademik  dapat diakibatkan karena kegagalan pengelolaan sistem data akademik. Untuk itu diperlukan suatu desain data akademik yang baik dan reliable, agar manajemen dan administrasi akademik dapat berjalan dengan baik. Pada penelitian  ditekankan  pada  konsep  desain  dari  Datawarehouse  akademik,  bukan  Sistem  Database Akademik.  Dataewarehouse  akademik  adalah  mengelola  Data  Akademik  secara  kompleks  dan terintegrasi  dari  entitas  akademik.  Pada  penilitian  ini  digunakan  data  entitas  akademik  seperti  : mahasiswa, program studi, dosen, matakuliah, dan sarana penunjang akademik. Serta Datawarehouse yang dikenal dengan gudang data dapat mengelola data historis. Pada penelitian ini ditergetkan dapat memnbuat desain Datawarehouse dengan pemodelan star schema untuk E-R Diagram Database Multi dimensional
Sistem Pakar Fuzzy Penentuan Kualitas Kakao Mohammad Yazdi; Gunawan Feri Handono
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 2 No. 2 (2013)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v2i2.9798

Abstract

Kakao (Theobroma cocoa L) adalah salah satu komoditas yang mempunyai nilai ekonomis tinggi terutama untuk ekspor dan sangat potensial untuk dikembangkan menjadi komoditas ekspor unggulan. Faktor yang paling menentukan terhadap keberhasilan produk kakao untuk diterima di pasar adalah faktor kualitas. Kualitas kakao dipengaruhi oleh kandungan Kadar air, Jamur, Kotoran dan Jumlah biji dalam seratus gram. Pasar internasional memiliki tuntutan kualitas yang sangat baik, sementara untuk kualitas dibawahnya diperuntukkan bagi pasar lokal. Penelitian ini bertujuan menghasilkan suatu sistem pakar untuk menentukan kualitas kakao. FIS yang digunakan untuk penentuan kualitas kakao adalah metode Mamdani. Metode mamdani memiliki 4 tahapan yaitu: pembentukan himpunan fuzzy, aplikasi fungsi implikasi, komposisi dan defuzzy. Hasil dari penelitian adalah sebuah Sistem Pakar Fuzzy yang mampu menentukan kualitas kakao berdasarkan kriteria-kriteria yang mempengaruhikualitas kakao.
k-Nearest Neighbor and Feature Extraction on Detection of Pest and Diseases of Cocoa Mohammad Yazdi Pusadan; Syahrullah; Merry; Ahmad Imam Abdullah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 3 (2022): Juni 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.908 KB) | DOI: 10.29207/resti.v6i3.4064

Abstract

Knowledge and utilization of digital images are growing rapidly not only in the fields of medicine and industry but also in the field of agriculture. This knowledge can apply it to a computer-based program that is used to detect agricultural products more effectively and efficiently. this research aims to build a system to detect the types of pests and diseases of cocoa pods because in general, an inspection of pests and diseases of cocoa pods is still manual based on the visual analysis of the color of the pods visually by the human eye which has limitations, which requires more energy to sort, the level of human consistency. In terms of assessing the symptoms of pests and fruit diseases, it is not guaranteed, because humans can experience fatigue, and humans also assess symptoms of pests and fruit diseases, sometimes it is subjective. This study utilizes digital image processing techniques to extract the color features of digital images of cocoa pods, the method used to extract the color features of Hue, Saturation, Value (HSV), and the classification algorithm used by K-Nearest Neighbor. The data used as many as 150 images divided into 70% training data and 30% testing data. Based on the results of trials using k values ​​of 5,7,11 and 13 in the holdout method, the best accuracy is 84.44% with a value of k = 5. And in the k-5 cross-validation test, the best accuracy is also found at k = 5 with a value accuracy of 99.33%.
Optimum partition in flight route anomaly detection Mohammad Yazdi Pusadan; Joko Lianto Buliali; Raden Venantius Hari Ginardi
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1315-1329

Abstract

Anomaly detection of flight route can be analyzed with the availability of flight data set. Automatic Dependent Surveillance (ADS-B) is the data set used. The parameters used are timestamp, latitude, longitude, and speed. The purpose of the research is to determine the optimum area for anomaly detection through real time approach. The methods used are: a) clustering and cluster validity analysis; and b) False Identification Rate (FIR). The results archieved are four steps, i.e: a) Build segments based on waypoints; b) Partition area based on 3-Dimension features P1 and P2; c) grouping; and d) Measurement of cluster validity. The optimum partition is generated by calculating the minimum percentage of FIR. The results achieved are: i) there are five partitions, i.e: (n/2, n/3, n/4, n/5) and ii) optimal partition of each 3D, that is: for P1 was five partitions and the P2 feature was four partitions
Implementasi Data Mining untuk Prediksi Status Proses Persalinan pada Ibu Hamil Menggunakan Algoritma Naive Bayes Mohammad Yazdi Pusadan; Ari Ghifari; Yusuf Anshori
Technomedia Journal Vol 8 No 1 Juni (2023): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v8i1.1980

Abstract

Childbirth is the process of taking out the fetus after 20 weeks of gestation or more to be able to live outside the uterus through the birth canal or another way, with or without assistance. Maternal Mortality Rate in Indonesia is still quite high based on the White Book of National Health System Reform in March 2022, at 305 for every 100.000 births. Causes of the high Maternal Mortality Rate is the risky of childbirth process for the mother and the baby. Clinical prediction is growing by adopting computer sience and information technology in data processing, accompanied by data mining methods for processing. The problem of pregnant mother can be anticipated by using the system for predicting the status of the childbirth process with the implementation of data mining and Naïve Bayes algorithm, with the purpose for helping to reduce Maternal Mortality Rate, especially caused by risky childbirth process. This study using 600 training data, then tested using the Confusion Matrix method on 100 testing data. Obtained Precision value was 82.4%, Recall value was 94%, F-Measure value was 88.7 and Accuracy value was 92%.
Co-Authors Ahmad Imam Abdullah Ari Ghifari Buliali, Joko Lianto Ginardi, Raden Venantius Hari Gunawan Feri Handono Handono, Gunawan Feri Indah Safitri Merry Syahrullah Wirdayanti Yusuf Anshori