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All Journal Scientific Journal of Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Elektrika International Journal of New Media Technology MIND (Multimedia Artificial Intelligent Networking Database) Journal J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Journal Zetroem Indonesian Applied Physics Letters Journal of Community Development Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Pengabdian Masyarakat Bangsa International Journal of Health and Information System (IJHIS) Journal of Educational Engineering and Environment NERO (Networking Engineering Research Operation) Science and Technology: Jurnal Pengabdian Masyarakat International Journal of Technology, Food and Agriculture
Fitri, Zilvanhisna Emka
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Pengenalan Pola Sinyal Electromyography (EMG) pada Gerakan Jari Tangan Kanan MULDAYANI, WAHYU; IMRON, ARIZAL MUJIBTAMALA NANDA; ANAM, KHAIRUL; SUMARDI, SUMARDI; WIDJONARKO, WIDJONARKO; FITRI, ZILVANHISNA EMKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 3: Published September 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i3.591

Abstract

ABSTRAKSinyal EMG merupakan salah satu sinyal yang dapat digunakan untuk memberikan perintah pada kursi roda listrik. Sinyal EMG yang digunakan diambil dari sinyal otot fleksor dan ekstensor yang berada di tangan kanan. Sinyal tersebut diambil menggunakan sensor Myo Armband. Klasifikasi sinyal EMG diambil dari pergerakan jari yang mewakili perintah gerak yaitu jari kelingking untuk bergerak maju, jari manis untuk berhenti, jari tengah untuk belok kanan dan jari telunjuk untuk belok kiri. Setiap sinyal EMG diekstraksi fitur untuk menentukan karakteristik sinyal sehingga fitur yang diperoleh adalah Average Absolute Value, Root Mean Square, Simple Integral Square, EMG Simple Variant and Integrated EMG. Kemudian fitur tersebut digunakan sebagai input dari metode klasifikasi Artificial Neural Network Backpropagation. Jumlah data latih yang digunakan adalah 800 data sedangkan data uji yang digunakan adalah 200 data. Tingkat keberhasilan proses klasifikasi ini sebesar 93%.Kata kunci: electromyogram, artificial neural network, klasifikasi sinyal, tangan kanan, Myo Armband. ABSTRACTEMG signal is one of the signals that can be used to give orders to electric wheelchairs. The EMG signal used is taken from the flexor and extensor muscle signals in the right hand. The signal is taken using the Myo Armband sensor. The EMG signal classification is taken from the movement of the finger which represents the command of motion ie the little finger to move forward, ring finger to stop, middle finger to turn right and index finger to turn left. Each EMG signal is extracted features to determine the signal characteristics so that the features obtained are Average Absolute Value, Root Mean Square, Simple Integral Square, EMG Simple Variant and Integrated EMG. Then the feature is used as input from the Backpropagation classification method. The amount of training data used is 800 data while the test data used is 200 data. The success rate of this classification process is 93%.Keywords: electromyogram, artificial neural network, signal classification, right hand, Myo Armband.
Pelatihan Keuangan dan Pemasaran Untuk Meningkatkan Kapabilitas UMKM Ilham Meubel Ardhiarisca, Oryza; Wijayanti, Rahma Rina; Fitri, Zilvanhisna Emka; Harkat, Avisenna; Kholiq, Muhammad Avan Dwi Adi Nur; Hanip, Muhammad; Ubaidillah, Yanuar Ardhika Rahmadhani
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1435

Abstract

This service activity was carried out at Ilham Meubel Micro, Small and Medium Enterprises (MSMEs) located in Bondowoso. Ilham Meubel is an MSME that operates in the furniture sector. The purpose of carrying out this service is to help Ilham Meubel in solving the problems he faces, namely related to marketing and finance. The marketing carried out by partners so far is still traditional marketing. Meanwhile, in the financial sector, partners have not recorded their finances. The methods of this service activity are field surveys, lectures, broadcasting, practice and discussion. The organizers of the activity consist of four lecturers and three students with expertise in the fields of economics, accounting, management and information technology who are able to solve partner problems in the fields of marketing and finance.This activity lasted for eight months and was divided into three stages, namely survey, preparation for creating Excel-based financial applications and websites and the final stage was training. This service is expected to have a real impact on partners regarding business. management
Design of Delivery NCC-Food Apps to Encourage Purchases of Nutrition Care Center Products Santi, Maya Weka; Puspitasari, Trismayanti Dwi; Rachmawati, Ervina; Fitri, Zilvanhisna Emka; Ni’mah, Khomsatun; Yunus, Muhammad
International Journal of Health and Information System Vol. 3 No. 1 (2025): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v3i1.67

Abstract

Jember Regency was in the spotlight for the prevalence of stunted toddlers, reaching the highest rank in East Java with a figure of 34.9% in 2022. Teaching Factory Nutrition Care Center (NCC) has nutritional catering services with Managed Health Meal and Kids Meal packages. However, the ordering process was still done via telephone or chat from social media groups. The research objective was to generate an online application for Nutrition Care Center (NCC) called NCC-Food to encourage purchases of Nutrition Care Center products. It used the waterfall method, consisting of system investigation, system analysis, system design, system implementation, and system maintenance. Meanwhile, this article is limited to system design. The results showed that Delivery NCC Food Apps facilitates clients/patients to order nutritious food online according to nutritional adequacy rate needs, particularly for stunted toddlers. The research is expected to promote and improve the accessibility of healthy foods, in particular for stunted toddlers; therefore, the prevalence of stunting is expected to decrease significantly.
Application of Computer Vision for Digital Encyclopedia of Chili Varieties (Capsicum spp.) Zamzami, Muhammad Viqih; Fitri, Zilvanhisna Emka; Madjid, Abdul; Imron, Arizal Mujibtamana Nanda
Journal of Educational Engineering and Environment Vol. 3 No. 1 (2024): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/jeee.v3i1.3831

Abstract

Chili is a vegetable commodity that has high economic value so that its production always increases every year. Several types of chilies are cultivated in Indonesia, namely cayenne pepper (Capsicum frutescens), curly red chili (Capsicum annuum L. var. longum), large red chili (Capsicum annuum L.) and paprika (Capsicum annuum var. grossum). Indonesia is a country that continues to develop innovation to produce many superior varieties, especially chilli plants. The problem arises that variations of other superior chili varieties can only be accessed through the official website of the ministry of agriculture, however, the data that can be accessed is limited (in the form of descriptions of chili varieties without physical appearance such as photos) so that it is quite difficult for the community and farmers to cultivate or utilize these varieties. This made researchers develop a digital encyclopedia of chili types using computer vision. This study uses a combination of digital image processing and intelligent systems. The image processing used is preprocessing such as cropping and splitting of RGB components, image segmentation and shape feature extraction. The features used are area, perimeter, major axis length, minor axis length and eccentricity. This feature is the input of the Naïve Bayes method which produces a system accuracy rate of 92%.
Pelatihan Kesehatan Keselamatan Kerja dalam Menunjang Kegiatan Produksi di Ilham Meubel Wijayanti, Rahma Rina; Ardhiarisca, Oryza; Fitri, Zilvanhisna Emka; Avisenna Harkat; Kholiq, M. Avan Dwi Adi Nur; Muhammad Hanip; Ubaidillah, Yanuar Ardhika Rahmadhani
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2025): April
Publisher : Politeknik Negeri Jember

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

Abstract

lham Meubel is a wood craftsman who produces various products including: tables, chairs, frames, doors, sideboards, kitchen sets and so on. The problems faced by partners when running a business are that the production equipment they have is no longer suitable, namely a serkel table that is outdated and they don't have a nail gun that is needed to support activities when installing products for clients from Ilham Meubel. Apart from that, craftsmen do not prioritize occupational health and safety (K3). This can be seen when working partners do not wear any K3 equipment during their activities. Therefore, in this service activity, solutions will be provided regarding these problems which will be carried out in stages, namely eight months. The first solution given was the provision of serkel tables and nail guns and the next was the provision of K3 equipment along with training. The target of this service activity is to improve production quality accompanied by the use of K3. The output of this service is a service journal, online mass media articles and videos of activity implementation
Efficiency Of Beef Cattle Supply Chain Management Using Digital Marketing Hasanah, Niswatin; Prasetyo, Budi; Nurkholis, Nurkholis; Fitri, Zilvanhisna Emka; Riansyah, S; Sono, S. H; Prihatiana, D; Wahyono, Nanang Dwi; Haryuni, N
International Journal of Technology, Food and Agriculture Vol. 2 No. 2 (2025): June
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/tefa.v2i2.5542

Abstract

This study aimed to analyze the efficiency of beef cattle supply chain management in Jember Regency during and after the Eid al-Adha period, and to evaluate the role of digital marketing in improving distribution. The research was conducted in July 2024 using a survey method with purposive sampling for selecting farmers and snowball sampling for marketing institutions. The results showed three marketing patterns: Pattern I (Producers directly to consumers using the “SAPI SIP” digital platform), Pattern II (Producers – Wholesalers – Agents outside the city/province), and Pattern III (Producers – Wholesalers – Religious institutions – Consumers). The most efficient marketing pattern during the Eid al-Adha period was Pattern I, with the highest farmer price share: 95.24% for male cattle and 94.29% for female cattle. This was due to the direct-to-consumer approach via digital marketing, which reduced intermediaries and transaction costs. After Eid al-Adha, Pattern I remained the most efficient for male cattle (88.00%), while Pattern III showed slightly higher efficiency for female cattle (90.17%) due to strong institutional buyer networks. These findings indicate that digital marketing can significantly improve supply chain efficiency and enhance farmer welfare, especially during seasonal demand surges.
Implementation of Decision Support System for Analyzing the Suitability of Plantation Crops Fitri, Zilvanhisna Emka; Irawan, Ahmad Dandi; Madjid, Abdul; Imron, Arizal Mujibtamala Nanda
IJNMT (International Journal of New Media Technology) Vol 12 No 1 (2025): Vol 12 No 1 (2025): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v12i1.3575

Abstract

The productivity of plantation crops is a priori dependent on the suitability of the land and the quality of the land used. The objective of determining land suitability is to increase the amount of crop production, thereby preventing crop failure. The process of land evaluation entails the assessment of land performance with the objective of predicting the potential and limiting factors for crop production. This allows for the identification of alternative types of agriculture. The application of the Fuzzy Mamdani method to the land suitability assessment website, based on rainfall parameters, soil pH and planting depth, is able to provide a land class assessment while making recommendations for plantation crops as an alternative type of agriculture.
Optimisation of Erythrocyte Abnormality Classification using Watershed Segmentation Parahita, Syavina Octavia; Fitri, Zilvanhisna Emka; Imron, Arizal Mujibtamala Nanda
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 6 No 1 (2025): Oktober 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v6i1.9580

Abstract

According to the World Health Organization (WHO), Polycythemia vera (PV) belongs to one of the main categories of Myeloproliferative Neoplasm (MPN). The results of laboratory diagnosis of PV are characterized by an increase in the number of erythrocytes, hemoglobin, leukocytes and platelets. Generally, blood examination uses automatic full blood count (FBC), but this method cannot detect abnormalities in the shape of erythrocytes, so further processing is needed from microscopic examination by creating a system that is able to detect and identify red blood cell abnormalities automatically. The system is a combination of digital image processing methods and intelligent systems methods commonly known as computer vision. The watershed segmentation method is used to separate closely packed cells, while the backpropagation method is an intelligent system capable of classifying erythrocyte shape abnormalities. The amount of data used is 340 training data and 50 test data, while the most optimal learning rate is 0.6 with a maximum epoh of 100 so that the system accuracy is 88%, specificity is 0.056 and sensitivity is 0.714.
Ensiklopedia Digital Varietas Ubi Jalar Berdasarkan Klasifikasi Citra Daun Menggunakan KNearest Neighbor Prasetya, Bahtiar Adi; Fitri, Zilvanhisna Emka; Madjid, Abdul; Imron, Arizal Mujibtamala Nanda
Elektrika Vol. 14 No. 1 (2022): April 2022
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v14i1.4329

Abstract

Sweet potato is a source of carbohydrates which is an alternative food in order to accelerate food diversification. This is due to the high productivity of sweet potato so it is very profitable to cultivate. Sweet potato has many varieties, one of the differences is observed based on leaf shape which has four kinds of leaf shape, namely cordate, lobed, triangular and almost divided. The problem that often occurs is that many varieties have similarities, causing difficulties in distinguishing sweet potato varieties, especially for novice farmers. To overcome this problem, the researchers created a digital encyclopedia of sweet potato varieties based on leaf shape using computer vision. The parameters used are area, perimeter, metric, length, diameter, ASM, IDM, entropy, contrast and correlation at angles of 0 °, 45 °, 90 ° and 135 °. The amount of data used is 256 training data and 40 testing data. The K-Nearest Neighbor method is able to classify sweet potato leaf images for digital encyclopedias with an accuracy of 95% with variations in the values of K = 23 and K = 25.
Genshin Impact Game Character Selection Using Weighted Product Mubarok, Sulton; Fitri, Zilvanhisna Emka; Imron, Arizal Mujibtamala Nanda
Journal of Educational Engineering and Environment Vol. 3 No. 1 (2024): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/jeee.v3i1.3816

Abstract

The recurring problem among Genshin Impact players in choosing characters, especially for new players, is a common issue. Therefore, this study aims to develop a decision support system to assist players in selecting characters using the weighted product method. The study was conducted by collecting data on the available characters in Genshin Impact and evaluating relevant criteria such as character rarity, role, weapon, and element. There are 52 characters or alternatives used in this study. The weighted product method was used to determine the relative weights of each criterion and then used to calculate the value of each character. In conclusion, the implementation of the weighted product method has been successfully carried out based on the three main steps, which are determining the weight of criteria, normalizing alternatives, and determining the preference of each alternative. From the results of the system testing that has been conducted by 25 users, a percentage of 84% was obtained based on user satisfaction with the decision support system for character selection in the Genshin Impact game. 9 respondents chose the option "strongly agree" and the remaining 16 chose the option "agree", indicating that the system is satisfactory for what the users want.
Co-Authors Abdul Madjid Anam, M. Khairul Arif, Praditya Zainal Arizal Mujibtamala Nanda Imron Atmadji, Ery Setiyawan Jullev ATTHOILLAH, EDY Avisenna Harkat Budi Prasetyo FAUZI, HILMIY AHMAD Firmansyah, Achmad Dinofaldi Hanip, Muhammad Harkat, Avisenna Hasan, Baharuddin Hasanah, Niswatin Hikmah, Lailatul Holili, Rexy Solehudin Abdi I Putu Dody Lesmana Imron, Arizal Mujibtamana Nanda Intan Permatasari Irawan, Ahmad Dandi Johan, Anju Alicia Kahar, Saliyah Binti Kholiq, M. Avan Dwi Adi Nur Kholiq, Muhammad Avan Dwi Adi Nur KOMARIAH, SITI INGEFATUL maya weka santi, maya weka Mubarok, Sulton Muhammad Hanip Muhammad Yunus NAJAMUDDIN, AHMAD NANDA Nining Haryuni Ni’mah, Khomsatun Nugroho Setyo Wibowo Nurkholis Nurkholis Oryza Ardhiarisca Parahita, Syavina Octavia Prasetya, Bahtiar Adi Prasetyo, Dafit Ari Prihatiana, D Puspitasari, Trismayanti Dwi PUTRI, DESTI FITRI AISYAH Rachmawati, Ervina Rahma Rina Wijayanti Ramadania, Elsa Manora Reski Yulina Widiastuti, Reski Yulina Riansyah, S Rukmi, Dyah Laksito Safitri, Nadia Ayu Sahenda, Lalitya Nindita Sono, S. H Sumardi . Syahputri, Lindri Nalentine Yolanda Ubaidillah, Yanuar Ardhika Rahmadhani Wahyono, Nanang Dwi Wahyu Muldayani Widjonarko . Zamzami, Muhammad Viqih