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All Journal IPTEK Journal of Proceedings Series Jurnal Penelitian Jurnal Mantik KURVATEK Jifosi Journal of Computer, Electronic, and Telecommunication (COMPLETE) International Journal of Data Science, Engineering, and Analytics (IJDASEA) KARYA: Jurnal Pengabdian Kepada Masyarakat International Journal Of Computer, Network Security and Information System (IJCONSIST) PELS (Procedia of Engineering and Life Science) Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Pengabdian Masyarakat Sains dan Teknologi Gema Wisata Safari : Jurnal Pengabdian Masyarakat Indonesia Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri INCOME: Indonesian Journal of Community Service and Engagement Jurnal Masyarakat Mengabdi Nusantara Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Informasi Pengabdian Masyarakat Jurnal Sistem Informasi dan Ilmu Komputer Journal of Community Service (JCOS) Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Relinesia: Jurnal Kajian Agama dan Multikulturalisme Indonesia

Dhian Satria Yudha Kartika

Universitas Pembangunan Nasional “Veteran” Jawa Timur

Author-ID : 826779

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

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Pengembangan Aplikasi Forum Berbasis Web - Tinjauan Pustaka Sistematis Imam Hanafi; Dyar Wahyuni , Eka; Satria Yudha Kartika, Dhian
Jurnal Informatika dan Sistem Informasi (JIFoSI) Vol. 2 No. 3 (2021): JIFoSI Volume 2, No 3: November 2021
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2234/jifosi.v2i3.405

Aplikasi berbasis web dalam beberapa tahun terakhir telah mengalami perkembangan dengan pesat. Perkembangan teknologi tersebut menyebabkan terciptanya berbagai software yang dapat bermanfaat bagi para penggunanya, salah satunya yaitu forum. Dalam perkembangannya, forum seringkali digunakan penggunanya untuk bertanya jawab, sharing informasi dan hal bermanfaat lainnya. Tentunya dalam membangun suatu aplikasi forum, perlu diketahui bagaimana metode dalam membangun aplikasi tersebut. Hal ini dilakukan agar terhindar dari kendala yang mungkin dialami peneliti dalam mengembangkan aplikasi forum itu sendiri. Sehingga dilakukanlah tinjauan literatur yang membahas mengenai pengembangan dari aplikasi forum. Metode tinjauan literatur yang digunakan pada penelitian ini yaitu Systematic Literature Review (SLR). Melalui metode tersebut dilakukanlah pencarian literatur dengan kriteria hanya literatur yang terbit lima tahun kebelakang (2016-2021) dan sumber literatur hanya dari Mendeley Search saja dengan sumber literatur yaitu buku, jurnal ataupun prosiding. Pencarian literatur tersebut menghasilkan sebanyak 3 literatur yang relevan dengan pengembangan aplikasi forum berbasis web. Kemudian literatur tersebut dinilai kualitasnya untuk selanjutnya dilakukan klasifikasi dan peninjauan secara mendetail dari tiap-tiap literatur tersebut. Hasil akhir dari metode SLR ini yaitu kesimpulan bahwa forum dapat dikembangkan di sektor sosial/masyarakat maupun sektor pendidikan. Selain itu pengembangan SDLC maupun arsitektur/framework yang digunakan fleksibel tergantung pada kondisi pada tiap-tiap penelitian. Melalui penelitian SLR ini diharapkan dapat menjadi referensi bagi para peneliti dalam mengembangkan suatu aplikasi forum di masa yang akan datang.

Butterfly Image Classification Using Color Quantization Method on HSV Color Space and Local Binary Pattern Dhian Satria Yudha Kartika; Darlis Herumurti; Anny Yuniarti
IPTEK Journal of Proceedings Series No 1 (2018): 3rd International Seminar on Science and Technology (ISST) 2017
Publisher : Institut Teknologi Sepuluh Nopember

A lot of methods are used to develop on image research. Image detection to relay back new information, widely used in various research field, such as health, agriculture or other field research. Various methods are used and developed to get better results. A combination of several methods is performed for testing as part of the research contribution. In this study will perform the combination results of the process color feature extraction with texture features. In color feature extraction using HSV color space method that gets 72 feature extraction and on texture feature extraction using local binary pattern that gets 256 feature extraction. The process of merging the two extracted results gets 328 new feature extractions. The result of combining color feature extraction and texture feature extraction is further classified. Results from image classification of butterflies get an accuracy score of 72%. The results obtained will be tested performance. The results obtained from performance testing get precision value, recall and f-measure respectively 76%, 72% and 74%

PERANCANGAN PENGEMBANGAN PARIWISATA BERBASIS APLIKASI MOBILE MENGGUNAKAN PENDEKATAN PIECES DI DESA KAMPUNGANYAR BANYUWANGI Hendra Maulana; Dhian Satria Yudha Kartika
Jurnal Penelitian 297-305
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v5i4.545

Perkembangan teknologi saat ini telah merambah ke segala aspek kehidupan sehingga saat ini seolah masyarakat telah dimanjakan oleh adanya alat-alat yang dapat memberikan kemudahan dalam aktifitas sehari-hari. Salah satunya adalah handphone, yang ditandai lahirnya teknologi smartphone. Lokasi desa yang strategis, di sekitar area Gunung Ijen membuat penduduk Desa Kampunganyar terus berinovasi menggali potensi Kampunganyar agar jadi tujuan wisata. Desa Kampunganyar mempunyai beberapa destinasi wisata yang sudah mulai dikenal wisatawan, selain itu juga terdapat UMKM yang sudah berkembang dan mulai dikenal masyarakat sekitar Banyuwangi. Penelitian ini merancang aplikasi mobile menggunakan pendekatan PIECES untuk pengembangan industri pariwisata di Desa Kampunganyar Banyuwangi. Rancangan aplikasi ini mengarah pada kemudahan antara pengunjung dan pemangku Desa (pengelola wisata, UMKM, warga Desa) untuk lebih bisa mengeksplor dan memberdayagunakan potensi Desa. Aplikasi ini sebagai media informasi dan edukasi, serta terdapat juga peta digital yang dapat memudahkan pengunjung mengeksplor objek wisata dan potensi desa Kampunganyar.

PENGKATEGORIAN BERITA ONLINE SECARA OTOMATIS MENGGUNAKAN METODE PLSA Nur Cahyo Wibowo; Dhian Satria Yudha Kartika; Septiyawan Rosetya Wardhana
KURVATEK Vol 3 No 1 (2018): April 2018
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v3i1.578

Pengguna internet di Indonesia berkembang pesat mampu mengubah gaya hidup masyarakat. Masyarakat memanfaatkan internet untuk mengakses informasi pada berita online. Berita online yang beragam jenis dan kategori membuat penyedia layanan berita online harus menyediakan informasi sesuai dengan permintaan pengguna. Pada paper ini menjelaskan proses pengkategorian berita online secara otomatis. Tujuan pengkategorian secara otomatis untuk mempermudah penyedia layanan dalam membuat sebuah berita. Proses pengkategorian berita secara otomatis menggunakan metode probabilistyc laten semantic analysis (PLSA). Dari 60 dokumen berita sebagai dataset yang diambil pada tiga berita online : kompas, sidomi, liputan6 menghasilkan 4 kelompok kategori (labels) berita. Sehingga dapat disimpulkan dengan metode PLSA mampu menghasilkan nilai presisi tertinggi sebesar 0,68 dengan iterasi sebanyak 300 kali

Preprosesing dan normalisasi pada dataset kupu-kupu untuk ekstraksi fitur warna, bentuk dan tekstur Dhian Satria Yudha Kartika; Hendra Maulana
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 2 (2020): December
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i2.76

Penelitian dalam bidang citra digital masing terus berkembang. Perkembangan penelitian dalam bidang pertanian, kesehatan ataupun mendukung infrastruktur atau tata kelola kota. Penelitian dalam citra digital bisa membantu mendapatkan keputusan terbaik agar hasil yang didapatkan sesuai dengan prediksi. Penelitian dalam bidang citra digital yang berkembang salah satunya dalam hal serangga. Jenis serangga yang digunakan untuk penelitian ini adalah kupu-kupu sebanyak 890 data. Dataset tersebut dibagi menjadi 10 kelas, masing-masing kelas sebanyak 89 data. Dataset akan dilakukan proses ekstraksi fitur warna, fitur tekstur dan fitur bentuk. Sebelum proses ekstraksi fitur hal terpenting adalah melakukan preprosesing dan normalisasi ukuran piksel. Preprosesing dilakukan untuk menghilangkan noise pada gambar. Noise dalam penelitian citra digital merupakan hal yang harus dihilangkan agar tidak mengurangi hasil yang akan didapatkan. Selain menghilangkan noise, proses normalisasi ukuran setiap objek dataset juga disesuaikan. Ukuran masing-masing dataset disamakan sehingga hasil yang didapatkan juga mempunyai standarisasi nilai. Hasil yang didapatkan pada proses klasifikasi kupu-kupu mempunyai nilai akurasi sebesar 75% penggabungan dari ketiga ekstraksi fitur warna, fitur tekstur dan fitur bentuk pada ukuran piksel 256x160. Keywords: citra digital; preprosesing; normalisasi piksel, ekstraksi fitur, kupu-kupu

Performance Evaluation of Inductive Miner for Internship Program Workflow Afina Lina Nurlaili; Muhsin Muhsin; Dhian Satria Yudha Kartika
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Modern organizations involve a high number of activities in their operations, which can be very complex. Process model is used to simplify these complex activities. Various algorithms for discovering process models have been developed in process mining. Process mining can extract important information from each activity in obtained cases. There are three process mining algorithms commonly used: Alpha, Heuristic Miner, and Inductive Miner. Each of the algorithms has its own characteristics. This paper compares these algorithms for the Internship Program. Based on the obtained evaluation, Alpha algorithm can't describe the process based on PKL event log well. It is because loop processes exist. It is also shown that the PKL process is not implementing the SOP well yet. On the other hand, Heuristic Miner neglects minor processes which do not frequently happen and does not describe it in the process model. Inductive miner combines the working principle of Alpha Miner and Heuristic Miner. Overall, the process model that is formed uses the Alpha algorithm which is closest to reality because it has a fitness of 0.96.

Implementation of System Dynamics to Increase Successful Utilization of E-Commerce with Marketing and Innovation Capability in MSMEs Anindo Saka Fitri; Seftin Fitri Ana Wati; Eristya Maya Safitri; Anita Wulansari; Dhian Satria Yudha Kartika
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 2 No. 1 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 1,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v2i1.18

Micro, Small, and Medium Enterprises (MSMEs) play an important role in the economic development of many cities around the world. The role of MSMEs can encourage equitable economic development which is one of the main pillars of the ASEAN Economic Community (AEC). But unfortunately, there are still many people who do not know how to market a new product and have a large market potential by using internet technology. The ongoing COVID-19 pandemic is causing changes in individual habits which also has the opportunity to permanently influence market developments in the coming years. Many people choose to shop online using e-commerce. The role of e-commerce is very influential in improving the performance of MSMEs. There are several variables in the successful use of e-commerce, including internal and external inhibiting and supporting variables. This study applies the system dynamics method to link the variables of success in the use of e-commerce with variables related to the performance of MSMEs. The results of this study are the success of the use of e-commerce is interrelated with marketing and innovation capability which has a positive effect on the performance of MSMEs. This research is expected to increase the success of using e-commerce in MSMEs, especially in Indonesia.

Traffic Sign Detection Using Region And Corner Feature Extraction Method Hendra Maulana; Dhian Satria Yudha Kartika; Agung Mustika Riski; Afina Lina Nurlaili
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Traffic signs are an important feature in providing safety information for drivers about road conditions. Recognition of traffic signs can reduce the burden on drivers remembering signs and improve safety. One solution that can reduce these violations is by building a system that can recognize traffic signs as reminders to motorists. The process applied to traffic sign detection is image processing. Image processing is an image processing and analysis process that involves a lot of visual perception. Traffic signs can be detected and recognized visually by using a camera as a medium for retrieving information from a traffic sign. The layout of different traffic signs can affect the identification process. Several studies related to the detection and recognition of traffic signs have been carried out before, one of the problems that arises is the difficulty in knowing the kinds of traffic signs. This study proposes a combination of region and corner point feature extraction methods. Based on the test results obtained an accuracy value of 76.2%, a precision of 67.3 and a recall value of 78.6.

E-commerce Website Development Using Scrum Methods on Small Business Anita Wulansari; Dhian Satria Yudha Kartika; Agussalim; Seftin Fitri Ana Wati; Eristya Maya Safitri; Anindo Saka Fitri
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.69

Websites are viewed primarily as a platform from which SMEs can portray a sophisticated image and advertise/market their products. One of the main factor affect the adoption of e-commerce by SMEs is the enviroment influence. On small business, the process of recording orders and sales transactions was done manually. These lead to customers complaints because they have to wait for a long time to get the product. In addition, the owners of small business find it difficult to know the popular products among customers. Moreover, the companys are eager to reach out to potential customers. Therefore, an e-commerce website is required not only as a solution to all these problems but also as a bridge between the business and their customers. The website was developed using the Scrum method. The application development process required three sprints to complete the seventeen product backlogs. The system testing proved the system is running according to its function and is accepted by the user.

Design and Build a Customer Segmentation Website at the Hijabiken Online Store Oktania Purwaningrum; Amalia Anjani Arifiyanti; Dhian Satria Yudha Kartika
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1286

Data can be processed to produce useful information for an organization/company. Example of transaction data that is processed to segment customers. Customer segmentation needs to be done so that sellers can find out market conditions and can be taken into consideration in developing marketing strategies. Customer segmentation can also make sellers know their customers well. Of course, customer segmentation needs to be done at the Hijabiken Online Store, this store sells Muslim products such as hijabs. Seeing the current conditions in the store, data storage is still manual which can be prone to damage and loss. Therefore, in this study, we will build a website that can store and process transaction data. Website design using DFD, CDM, PDM, and mockups. Segmentation is carried out using data mining science in the clustering process. Clustering is done with the K-Means algorithm and LRFM model. The results of testing every function of the website can be run properly.

Co-Authors Abbel Antya Wicaksana Achmad Syaifulloh Putra Adelia Khoirunnisa Adelia Qouli Varadisa Affiva Lindi Damayanti Afifah Nur Azisah Afina Lina Nurlaili Agung Brastama Putra Agung Mustika Riski Agung Satria Bimantara Agus Tri Sapta Yudha Agussalim, Agussalim Aisha Nabila F. H Ajeng Rahayu Mutmainnah Alfin Nur Faizah Alfin Tri Mulyani Amalia Anjani Arifiyanti Anggi Anggraeni Nugraha Anindo Saka Fitri Anindo Saka Fitri Anindya Dewi Nariswari Anita Amalia Rahma Anita Wulansari Anita Wulansari Annisa Fahmi Lisnamurti Anny Yuniarti Ariel Sambali Arya Gilang Wiryawan Ashaby Alamsyah Benydiktus Pakpahan Beta Hanan Yuliansa Betrik Muliani Cahya Maghfira Prasetya Chevaldi Gelstyn Amalo Christian Ananda Bestari Cindy Dyah Darlis Herumurti Dennis Aprilianti Diva Aisyah Maryam Diva Zahwa Djihani Fatimatus Zahroh Dyar Wahyuni , Eka Edi Sugiyanto Eristya Maya Safitri Eristya Maya Safitri Evidelia Nabila Hamada Audyarizki Fajar Cahya Putra Farhan Jelang Ramadhan Farhan Kusuma Waradana Fauzan Atha Fidda Rahmawati Fikriyatun Nabila Firdha Amalia Fotinus Wahyudi Josiriz Gagas Taruna Pamungkas Hafsha Sakinah Hallimah Rizqi Putti Hastri Cantya Danahiswari Hendra Maulana Hendra Maulana Hikmah Saptya Ningrum Hilal Abdullah Imam Hanafi Ir. Endang Pudji W Layra Cholifah Lordly Resolute Linda Tri Andini M. Rizal Muhaimin Mochammad Nurcholis Muhammad Alief Hidayatulloh Muhammad Daffa Muhammad Hilman Zafiri Muhsin Muhsin Musdlolif Fadlun Huda Maramida Nala Mutimmul Noer Alam Yahya Nur Cahyo Wibowo Nur Suranti Madu Sukmah Oktania Purwaningrum Oktavia Nur Qhoirunnisa Pandu Rizki Maulidiah Priyandini Pramithasari Putri Intana Ramadhani Putri Lestari Putri Marisna Raffli Amirullah Rafly Sandi Putra Ramadhan Eka Syahputra Regina Farah Piecesha Reisa Permatasari Renanda Auzan Firdaus Rhifky Arfiansyah Rima Dwi Fitrian Ripka Suliandari Ririn Oktavita Sari Rizky Renanda Rahadian Rosedefi Angelia Putri Rr. Shafira Indranovianti Ruldy Rizqi Suhendri Safira Aprilia Sarah Adora Febria Seftin Fitri Ana Wati Septiyawan Rosetya Wardhana Shahna Naila Safira Sugito Sugito Syahbrina Isnaeni Azizah Rianto Talitha Edina Sakhi Tarissa Berliana Kartika Tegar Satria Adi Tiara Putri Marcela Tri Diana Rimadhani Vani Laila Vanni Alivyah Krisnandela Vicky Al-Hafiz Viona Eka Rahmawati Viona Nadestri Vira Adhelia Andjani Virda Kurnia Barbara Wafiq Ainnur Rozzan Wilda Daffania Abidin Yesica Arinda Damayanti Yola Tarisa Br Tarigan Yovan Febriawan Nurpratama Yovan Febriawan Nurpratama Zalfaa’ Fairuuz Zulfikar Achmad Nur Wachid

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