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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MAHAJANA INFORMASI Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Brilliance: Research of Artificial Intelligence

M. Hamdani Santoso

Universitas Medan Area

Author-ID : 3676477

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Other

Published : 6 Documents Claim Missing Document

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Articles

Wayang Image Classification Using SVM Method and GLCM Feature Extraction Muhathir Muhathir; M Hamdani Santoso; Diah Ayu Larasati
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4524

Wayang is a masterpiece of art that has been able to survive centuries of change and development as a reflection of life for the majority of society. Wayang has a high value because it does not only function as a "entertainment" spectacle, but also has many lessons and life values that can be learned from a wayang show. Puppet itself has various types and forms, and these forms have their own uniqueness, because of the many types of Puppet, many people do not know all the names and types of wayang. Therefore, in this research, we will discuss how to recognize wayang objects based on wayang images using the SVM and GLCM methods as feature extraction. The results showed that the classification of wayang using the SVM (Support Vector Machine) method and the GLCM (Gray Level Co-Occurrence Matrix) feature extraction can recognize wayang objects based on wayang images and classify them quite accurately and a maximum total accuracy of 83.2% is obtained.

Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction Muhathir Muhathir; Muhammad Hamdani Santoso; Rizki Muliono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Indonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the Naïve Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the Naïve Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%.Keywords – Apple, Avocado, Apricot, Banana, Naïve Bayes, HOG.

Rancang Bangun Power Bank Bertenaga Surya Dan VAWT Dimas Eka Wuri; M Hamdani Santoso; Juanda Hakim Lubis
JURNAL MAHAJANA INFORMASI Vol 4 No 2 (2019): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

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

Perkembangan ilmu pengetahuan dan teknologi saat ini berkembang pesat seiring dengan kemajuan di berbagai bidang, sehingga membuat manusia selalu untuk berusaha mengembangkan dan memanfaatkan ilmu pengetahuan dan teknologi tersebut untuk kemudahan dalam berbagai hal. Contohnya yaitu handphone.Handphone (ponsel genggam) yang sekarang lebih dikenal dengan smartphone telah menjadi kebutuhan yang wajib dimiliki oleh setiap orang. Pada saat ini, fungsi smartphone tidak hanya sebatas digunakan untuk menelpon atau mengirim pesan singkat (SMS), namun smartphone juga dapat digunakan untuk melakukan berbagai macam hal diantaranya digunakan untuk mengambil gambar dengan fasilitas kamera yang terdapat di smartphone, memutar lagu, menonton video, menjelajah internet (browsing) dan masih banyak lagi kegunaan dari smartphone yang sangat membantu dalam kehidupan sehari-hari. Pada penelitian ini, solusi yang diberikan power bank ramah lingkungan yang tidak membutuhkan sumber daya PLN, yaitu dengan memanfaatkan tenaga surya dan tenaga angin sebagai sumber daya utramanya yang dilengkapi dengan fitur kompas yang diperuntukkan bagi seseorang yang memiliki tingkat mobilitas yang tinggi.

Smart Industry Inkubator Otomatis Produk Pengering Ikan Asin Berbasis Arduino M. Hamdani Santoso; Kori Isabella Hutabarat; Dimas Eka Wuri; Juanda Hakim Lubis
JURNAL MAHAJANA INFORMASI Vol 5 No 2 (2020): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

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Desa Percut adalah sebuah desa yang terletak di Kecamatan Percut Sei Tuan Kabupaten Deli Serdang Provinsi Sumatera Utara yang berada di pesisir laut sehingga menjadikan desa ini sebagai desa nelayan, yang mana hampir seluruh penduduknya menggantungkan hidup pada hasil-hasil kekayaan laut. Banyak industri pengolahan ikan asin di wilayah ini namun masih menggunakan metode tradisional dalam proses pengeringannya. Proses pengeringan yang membutuhkan waktu yang lama dan cuaca juga yang terkadang tidak menentu, sehingga menghambat produktifitas. Terlebih lagi karena menggunakan metode tradisional yang terkena paparan debu dan hama lalat yang menyentuh langsung fisik ikan tersebut, sehingga menyebabkan kurangnya mutu higienitas ikan. Pada penelitian sebelumnya telah membuat sistem alat pengering jagung pipil menggunakan alat pengering surya tipe efek rumah kaca hybrid dengan pengering silinder berputar, mutu citra rengginang berbasis beras aromatik dengan metode pengeringan berbeda, dan kontruksi dan kapasitas alat pengering ikan tenaga surya sistem bongkar-pasang. Berdasarkan alasan diatas, penulis mengusulkan penelitian yang bertujuan untuk membuat sebuah inovasi teknologi dalam menyelesaikan permasalahan diatas dengan menggunakan desain yang efektif dalam penampungan ikan asin skala besar dan menggunakan energi sinar matahari dengan memanfaatkan efek rumah kaca didalam nya. pengeringan dilakukan juga dengan bantuan elemen pemanas apabila sinar matahari tidak mendukung dalam pemrosesan pengeringan. Mikrokontroler arduino sebagai pengontrol nya. Hasil penelitiannya yaitu pengeringan ikan menggunakan alat inkubator otomatis ini memakan waktu 8 sampai dengan 12 jam dengan suhu rata-rata 45 derajat celsius dan dapat menurunkan berat kadar air pada ikan asin hingga mencapai 50 persen.

Wayang Image Classification Using MLP Method and GLCM Feature Extraction M. Hamdani Santoso; Diah Ayu Larasati; Muhathir Muhathir
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 1, No 2 (2020)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Wayang is a form of shadow art that has been known to the Javanese people more than 1500 years ago. For Javanese people, the function of wayang is not only as a spectacle but also as a request, because in the wayang story there are values that are important to Javanese society. Wayang has developed from time to time, there are many types of wayang in Indonesia, with many types of wayang in Indonesia, of course preserving the art of wayang kulit is not an easy thing, especially because this traditional art is not yet very popular among young people, especially in the regionsburban. Today's young people use technology more in finding information, such as using laptops or smartphones. Because to make it easier for people who want to know about puppets and their types, a technology is created that can distinguish the types of puppets based on wayang images. So this research was made using the MLP (The Multi Layer Perceptron) method and its extraction feature GLCM (Gray-Level Co-Occurrence Matrix) with a total system accuracy of recognizing wayang image objects up to 73.4%.

Application of Association Rule Method Using Apriori Algorithm to Find Sales Patterns Case Study of Indomaret Tanjung Anom M. Hamdani Santoso
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : ITScience (Information Technology and Science)

Data mining can generally be defined as a technique for finding patterns (extraction) or interesting information in large amounts of data that have meaning for decision support. One of the well-known and commonly used association rule discovery data mining methods is the Apriori algorithm. The Association Rule and the Apriori Algorithm are two very prominent algorithms for finding a number of frequently occurring sets of items from transaction data stored in databases. The calculation is done to determine the minimum value of support and minimum confidence that will produce the association rule. The association rule is used to produce the percentage of purchasing activity for an itemset within a certain period of time using the RapidMiner software. The results of the test using the priori algorithm method show that the association rule, that customers often buy toothpaste and detergents that have met the minimum confidence value. By searching for patterns using this a priori algorithm, it is hoped that the resulting information can improve further sales strategies.

Co-Authors Diah Ayu Larasati Dimas Eka Wuri Dimas Eka Wuri Juanda Hakim Lubis Juanda Hakim Lubis Kori Isabella Hutabarat Muhathir, Muhathir Rizki Muliono

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