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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi e-Jurnal Arus Elektro Indonesia Scientific Journal of Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Faktor Exacta Techne : Jurnal Ilmiah Elektroteknika Elektrika International Journal of New Media Technology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer MIND (Multimedia Artificial Intelligent Networking Database) Journal KOMPUTIKA - Jurnal Sistem Komputer Applied Technology and Computing Science Journal Jurnal Teknologi Informasi dan Terapan (J-TIT) Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro JISA (Jurnal Informatika dan Sains) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Journal Zetroem Djtechno: Jurnal Teknologi Informasi Jurnal Ilmu Komputer dan Informatika Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Pengabdian Masyarakat Bangsa Jurnal Rekayasa elektrika Journal of Educational Engineering and Environment Jurnal ilmiah teknologi informasi Asia
Arizal Mujibtamala Nanda Imron
Teknik Elektro, Fakultas Teknik, Universitas Jember, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Fruit Sorting System for Oranges Based on Size and Color Using Fuzzy Logic Ali Rizal Chaidir; Panji Eka Prasetya; Arizal Mujibtamala Nanda Imron; Immawan Wicaksono; Guido Dias Kalandro; Gramandha Wega Intyanto
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.v3i1.3815

Abstract

Along with advances in technology, the use of human labor in managing agricultural products is decreasing because it has been replaced by robots. Robots perform better than human workers who have emotions and need time to rest. This can cause errors when sorting fruit due to lack of concentration caused by fatigue. The large harvest of oranges takes a long time to sort them, starting from color, size, weight, and price, before they are marketed. To make it easier for farmers to sort their harvest from orange fruit, this research was created titled "Citrus Fruit Sorting System Based on Size and Color Based on Fuzzy Logic." The sorting system based on color and size that will be made has the advantage that the fruit being sorted is more varied because it is equipped with fuzzy logic. Fuzzy logic allows membership values between 0 and 1, levels of gray as well as black and white, and in linguistic form, uncertain concepts such as "a little," "fairly," and "very." Apart from that, the system is made more human-friendly because the rule base is created by humans. The sorting tool that was made to be controlled using an Arduino UNO board with the help of Arduino IDE software managed to obtain a success rate of 62.5% for the low and medium-quality classes and a success rate of 87.5% for the high-quality class with an overall average success rate of 70.8 %.
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.
RANCANG BANGUN PEMBANGKIT LISTRIK TENAGA SURYA SEBAGAI SUPLAI DAYA UNTUK PENYINARAN KEBUN BUAH NAGA Erwinda, Yudha Teja; Arizal Mujibtamala Nanda Imron; Dananjaya Endi Pratama; Bambang Sujanarko; Candra Putri Rizkiyah Ramadhani; Wicaksono, Immawan
Jurnal Arus Elektro Indonesia Vol. 11 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i1.51294

Abstract

Di Banyuwangi, petani buah naga menghadapi masalah produktivitas di luar musim panen karena tanaman tidak berbunga dalam waktu lama. Mereka menggunakan lampu sebagai pengganti sinar matahari, tetapi ini meningkatkan biaya listrik dan tidak semua lahan dapat dijangkau oleh listrik PLN. Solusi yang tepat adalah memanfaatkan energi terbarukan dari matahari dengan sistem Pembangkit Listrik Tenaga Surya (PLTS) off-grid. Data input dari panel surya dan baterai diambil selama 3 hari dari pukul 09.00 hingga 15.00 WIB, dan data output diambil selama beberapa malam dari pukul 21.00 hingga 02.00 WIB. Perancangan dilakukan dengan menggunakan komponen seperti panel surya, SCC, batrai, dan inverter. Sistem ini menunjukkan kinerja yang baik, dengan produksi energi pada hari pertama sebesar 89,35 Wh melebihi konsumsi 83,3 Wh, dan produksi pada hari kedua mencapai 100,82 Wh dengan sisa energi 17,52 Wh. Meskipun pada hari ketiga produksi turun menjadi 67,78 Wh, sisa energi dari hari sebelumnya mencukupi kebutuhan. Selain itu, pemberian lampu secara signifikan mempercepat pembungaan tanaman buah naga, dengan peningkatan bunga yang signifikan dari minggu kedua hingga kelima, sementara tanaman tanpa lampu tidak berbunga.
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.
Optimalisasi Teknik Image Enhancement untuk Klasifikasi Varietas Apel Menggunakan SVM dan CNN Johan, Anju Alicia; Fitri, Zilvanhisna Emka; Imron, Arizal Mujibtamala Nanda; Arif, Praditya Zainal
ZETROEM Vol 7 No 2 (2025): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v7i2.5513

Abstract

One of the largest export commodities in Indonesia is fruit commodities, one of which is apples. Apples have many varieties that differ in shape, color and size, which can cause identification and highlighting of apples to have limitations by requiring manual inspection from experts. This manual inspection is influenced by the expert's ability and experience in assessing the texture, color pattern, smell and characteristics of apples. In addition, the large diversity of apple varieties does not guarantee the completeness and ease of access related to information and data on apple varieties. The availability of this information is very important in supporting increased fruit production and determining superior apple varieties. So, a system is made that can classify apple varieties such as ana apples, manalagi apples, fuji apples, red delicious apples and rome beauty apples automatically. The apple variety classification methods used are SVM and CNN. The accuracy result of the SVM method is 94% based on texture feature parameters. While the CNN accuracy result is 100% Using learning rate 0.001 and epoh 20.
Co-Authors ABDUL MADJID Abdul Madjid Abdul Madjid Abdul Madjid Abdul Madjid Abdul Madjid Ahmad Aris Ubaidillah Ainun Nurkharima Noviana Ali Rizal Chaidir Anam, M. Khairul Ari Baskara Arif, Praditya Zainal Atmadji, Ery Setiyawan Jullev Atmadji, Ery Setiyawan Jullev Bambang Sri Kaloko Bambang Sujanarko Brilyan Andi Syahbana Brilyan Andi Syahbana Candra Putri Rizkiyah Ramadhani Dananjaya Endi Pratama Dyah Laksito Rukmi Erwinda, Yudha Teja Faisal Alif Hidayat Fitri, Zilvanhisna Emka Fitri, Zilvanhisna Emka Guido Dias Kalandro I Putu Dody Lesmana Immawan Wicaksono Intan Permatasari Irawan, Ahmad Dandi Johan, Anju Alicia KOMARIAH, SITI INGEFATUL Lalitya Nindita Sahenda Lia Santoso Mega Silvia Mubarok, Sulton NISKE ELMY PAULINA Nugroho Setyo Wibowo Panji Eka Prasetya Parahita, Syavina Octavia Pramuditha Shinta Dewi Puspitasari Prasetya, Bahtiar Adi Prawidya Destarianto Putri, Desti Fitri Aisyah PUTRI, DESTI FITRI AISYAH Rahmawati, Siska Yulia Ramadania, Elsa Manora Reski Yulina Widiastuti, Reski Yulina Rifqi Hakim Ariesdianto Riska Aprilia Rizkiyah Rizkiyah Slamet Riyadi Sudarti Sudarti Sulton Mubarok Sumardi . Sumardi Sumardi Syahputri, Lindri Nalentine Yolanda Ulandari Susika Ully Nuhanatika Wahyu Muldayani Widiastuti, Reski Yulina Widjonarko . Widyono Hadi Wildan Bakti Nugroho Yanuar Ridwan Hisyam Zilvanhisna Emka Fitri Zilvanhisna Emka Fitri