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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Sistem : Jurnal Ilmu-Ilmu Teknik SMARTICS Journal Jurnal Restikom : Riset Teknik Informatika dan Komputer JiTEKH (Jurnal Ilmiah Teknologi Harapan) Rambideun : Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Polinema (JIP)
Putra, Firnanda Al Islama Achyunda
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Public Health Social Sciences

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ANALISA EFEK KEMIRINGAN PEMASANGAN TERHADAP LUARAN DAYA RANGKAIAN PANEL SURYA Kurniawan, Arif; Yoserizal, Yosta; Putra, Firnanda Al-Islama Achyuda
SISTEM Jurnal Ilmu Ilmu Teknik Vol 15 No 3 (2019)
Publisher : Fakultas Teknik Universitas Wisnuwardhana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/sistem.v15i3.199

Abstract

Sel surya merupakan salah satu sumber tenaga yang populer dewasa ini. Untuk mengetahui bagaimana menggunakan panel sel surya agar mendapatkan keluaran listrik yang optimal, maka dilakukanlah penelitian. Pemakaian panel sel surya umumnya diletakkan dengan posisi tertentu dengan tanpa perubahan, sebagai contoh panel sel surya dihadapkan ke atas. Dengan posisi panel menghadap ke atas dan jika panel dianggap benda yang mempunyai permukaan rata maka panel akan mendapat radiasi matahari maksimum pada saat matahari tegak lurus dengan bidang panel. Maka dilakukanlah pengukuran tegangan dan arus listrik yang dihasilkan pada sudut kemiringan panel sel surya tertentu dan juga pada waktu-waktu tertentu. Setelah mendapatkan data-data dari penelitian tersebut, maka kemudian hasilnya dianalisis menggunakan analisa regresi sinusoidal untuk mengetahui daya listrik yang dihasilkan oleh panel surya pada tiap sudut kemiringan tertentu. Dengan diketahuinya daya yang dihasilkan pada sudut dan waktu yang optimal, dapat dihitung efisiensi dari peletakan sudut kemiringan panel surya dalam penggunaan sehari-hari
HOG Feature Extraction and KNN Classification for Detecting Vehicle in The Highway Firnanda Al Islama Achyunda Putra; Fitri Utaminingrum; Wayan Firdaus Mahmudy
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 14, No 3 (2020): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.54050

Abstract

Autonomous car is a vehicle that can guide itself without human intervention. Various types of rudderless vehicles are being developed. Future systems where computers take over the art of driving. The problem is prior to being attention in an autonomous car for obtaining the high safety. Autonomous car need early warning system to avoid accidents in front of the car, especially the system can be used in the Highway location. In this paper, we propose a vision-based vehicle detection system for Autonomous car. Our detection algorithm consists of three main components: HOG feature extraction, KNN classifier, and vehicle detection. Feature extraction has been used to recognize an object such as cars. In this case, we use HOG feature extraction to detect as a car or non-car. We use the KNN algorithm to classify. KNN Classification in previous studies had quite good results. Car detected by matching about trining data with testing data. Trining data created by extract HOG feature from image 304 x 240 pixels. The system will produce a classification between car or non-car.
Penentuan Kelayakan Kandang Sapi Menggunakan Analytic Hierarcy Process-Weighted (AHP-WP) [Studi Kasus UPT Pembibitan Ternak Dan Hijauan Makanan Ternak Singosari] Firnanda Al Islama Achyunda Putra; Nurul Hidayat; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.812 KB)

Abstract

The cow shed is a place to live a day cow. The better quality and materials of the cow cow will certainly make the cow better for its development. Therefore, it is important that a decent cow shed plays an important role also on cow health. Today many people do not meet the correct criteria for cow breeding. As a result many cows that died suddenly due to less healthy cages. Therefore, the authors chose this topic because according to the interviews UPTD that this application will help local farmers, especially malangraya region and generally to the community at large. AHP or also called Analytic Hierarcy Process is a decision support model developed by Thomas L. Saaty. This decision support model will describe complex multi-factor or multi-criteria problems into a hierarchy. Variables needed in this study are the criteria for the determinants of the feasibility of the cage as many as 5 criteria. WP or also called Weighted Product acts as a ranking against the weighting that has been done by AHP. So get the results of farmers breeding rank from the lowest to highest rank. This study resulted in an accuracy of 77.3%.
A Rancang Bangun Sistem Informasi Kepegawaian dan Inventaris Di Universitas Merdeka Malang Berbasis Web Menggunakan Framework Codeigniter Firnanda Al-Islama Achyunda Putra; Andriyan Rizki Jatmiko; Rizza Muhammad Arief Arief; Muhamat Ilham Ardiansa Ardiansa
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 5 No 2 (2023): Agustus
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v5i2.149

Abstract

Teknologi dan Sistem Informasi menjadi elemen krusial dalam manajemen organisasi atau perusahaan, terutama dalam hal pengelolaan sumber daya. Penerapan sistem informasi dalam manajemen sumberdaya dapat membantu suatu organisasi dalam hal efektivitas, efisiensi, akurasi, dan penyimpanan data. Universitas Merdeka Malang (Unmer) adalah salah satu institusi pendidikan tinggi swasta di Indonesia yang berlokasi di Kota Malang, Jawa Timur. Didirikan pada tahun 1964, Unmer memiliki komitmen untuk menyediakan pendidikan berkualitas tinggi dan berkontribusi terhadap pengembangan ilmu pengetahuan dan teknologi. Saat ini sistem informasi yang membahas terkait kepegawaian dan Inventaris ruangan masih belum dimiliki oleh Universitas. Penelitian ini bertujuan untuk merancang system informasi berbasis WEB dengan menggunakan framework Codeigniter. Penelitian ini bertujuan untuk membuat atau merancang sebuah system informasi yang dapat menghandle beberapa kebutuhan seperti inventaris, penjadwalan rapat, penjadwalan ruangan dan juga absensi. Hasil dari penelitan ini dapat digunakan sebagai acuan untuk peneliti selanjutnya jika ingin mengembangkan system informasi yang lebih kompleks.
Signifikansi Pengaruh Akses Teknologi Informasi terhadap Indeks Pembangunan Manusia di Indonesia Andriyan Rizki Jatmiko; Nofrian Deny Hendrawan; Rizza Muhammad Arief; Firnanda Al Islama Achyunda Putra; Mochammad Daffa Putra Karyudi
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.780

Abstract

Human Development Index is an indicator of the progress of a country, Information Technology is an important supporter to measure the Human Development Index. This research can provide an overview to measure the progress of a country in terms of access to Information Technology. This study processed secondary data provided by the Central Statistics Agency from 2017-2019. Using K-Means and K-Medoids clustering methods. K-Means is a popular non-hierarchical grouping method that groups objects by distance to a central point, aiming to maximize similarity within groups. K-Medoids is a powerful algorithm that handles outliers using techniques such as CLARA and PAM. In 2017 with an average of 0, Gorontalo 294611827 was a low cluster while in 2018 and 2019 Gorontalo entered a medium cluster with an average of 0.349570215 and 0.394531648. Similar to Central Sulawesi, in 2017 with an average of 0.275848883 Central Sulawesi was included in the low cluster while in 2018 and 2019 Central Sulawesi entered the medium cluster with an average of 0.291938731 and 0.334276807 From this result, it can be ascertained, by increasing knowledge in Information Technology, the HDI in an area can increase as well.
Klasifikasi Buah dan Sayur Menggunakan Fitur Ekstraksi HOG dan Metode KNN Firnanda Al-Islama Achyunda Putra; Aditya Galih Sulaksono; Listanto Tri Utomo; Ahmad Rizal Khamdani
Jurnal Informatika Polinema Vol. 10 No. 1 (2023): Vol 10 No 1 (2023)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i1.1433

Abstract

Abstrak - Buah berasal dari putik tumbuhan dan cenderung berbiji, sedangkan sayuran dapat berasal dari kacang-kacangan, daun, atau biji-bijian yang dapat dimasak. Ada banyak variasi dalam bentuk, warna, dan tekstur dari buah dan sayuran, namun terkadang sulit untuk membedakan antara jenis yang memiliki kesamaan dalam hal ini. Oleh karena itu, dibutuhkan suatu sistem untuk membantu mengklasifikasikan buah dan sayuran dengan lebih mudah. Dalam penelitian ini, jenis buah dan sayuran diklasifikasikan berdasarkan hasil ekstraksi dari Histogram Oriented of Gradient. Metode yang digunakan dalam penelitian ini adalah Histogram Oriented of Gradient (HOG) dan K-Nearest Neighbor (K-NN). Proses HOG digunakan untuk ekstraksi fitur tersebut yaitu untuk mendapatkan karakteristik buah dan sayuran, sedangkan K-NN digunakan untuk proses klasifikasi citra. Setiap nilai bobot citra latih dan citra uji akan dibandingkan dengan meminimalkan nilai Euclidean. Penelitian dengan metode ini memberikan hasil pengujian dengan tingkat akurasi 76,54% untuk buah-buahan, sedangkan hasil pengujian untuk sayuran memberikan nilai akurasi sebesar 71,22%.
PENGARUH FITUR DAN ANGLE PADA EKSTRAKSI CIRI GLCM TERHADAP AKURASI UNTUK KLASIFIKASI OBJEK Aziz, As'ad Shidqy; Putra, Firnanda Al Islama Achyunda
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7627

Abstract

The cars that can move on their own or have the ability to drive without assistance from humans are called autonomous cars. The development of various types of driverless vehicles is currently underway. Where in the future the computer system will replace the role of humans in driving vehicles. However, the problem in autonomous cars that deserves attention is the need for high security. Early warning systems are needed in autonomous car systems to detect objects in front of them. This is necessary to avoid accidents, especially when on the highway. In this study, researchers designed a system for vision-based vehicle detection in detecting cars in front of them. The detection algorithm used has two main components, namely color feature extraction using GLCM values, and 6 parameter testing of GLCM dissimilarity, correlation, homogeneity, contrast, ASM and energy. In this study using the SVM (Support Vector Machine) algorithm for the classification algorithm. Good accuracy results are found in the ASM feature and using an angle of 450, which is 88%.
PENINGKATAN KESADARAN MASYARAKAT TERHADAP KEBERSIHAN DAN MENGEMBANGKAN UMKM DI KELURAHAN BAKALANKRAJAN Firnanda Al Islama Achyunda Putra; Rizza Muhammad Arief; Yulia Natasya Farah Diba Arifin
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2024): Rambideun: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v7i2.2414

Abstract

Improving cleanliness is one way to optimize public health. This community service activity has the theme of cleanliness and development of MSMEs, which is carried out by KKN students in Bakalankrajan Village. Students helped develop 2 MSME products and held a "Shining Village" competition to increase the enthusiasm and awareness of residents in cleaning the environment. This activity aimed to increase residents' awareness and initiative towards environmental cleanliness in Bakalankrajan Village. From the results of the "Shining Village" competition, Unmer KKN 2023 students will support and help the village that gets the lowest score. This activity used implementation methods in the form of socialization, by distributing posters, holding competitions, assessing and processing scale data, and service in the form of community service. From the results of the service activities, it can be seen that residents are starting to keep their environment clean after the Shining Village" competition program and updating the logo and catalog design for the Jamu and Sago Tempe Chips MSMEs to maximize their products visibility.
Co-Authors Aditya Galih Sulaksono Ahmad Rizal Khamdani Andriyan Rizki Jatmiko As’ad Shidqy Aziz Karyudi, Mochammad Daffa Putra Listanto Tri Utomo Muhamat Ilham Ardiansa Ardiansa Nurul Hidayat Pusaka, Semerdanta Rizza Muhammad Arief Tri Afirianto Utaminingrum, Fitri Wayan Firdaus Mahmudy Yosta Yoserizal, Yosta Yulia Natasya Farah Diba Arifin