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All Journal International Journal of Electrical and Computer Engineering Jurnal Buana Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Ilmiah Kursor Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Sistem Informasi dan Bisnis Cerdas EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Polinema Kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL Jurnal Informatika Polinema (JIP) Jurnal Cendekia Ilmiah
Vivi Nur Wijayaningrum
Politeknik Negeri Malang
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Public Health Social Sciences Other

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Monitoring Development Board based on InfluxDB and Grafana Noprianto Noprianto; Vivi Nur Wijayaningrum; Rokhimatul Wakhidah
Telematika Vol 20, No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.7643

Abstract

Purpose: Designing a sensor data monitoring system using a time series database and monitoring platform on a Development Board device.Design/methodology/approach: It begins with a requirement analysis, such as the preparation of the required software and hardware, followed by the creation of the system architecture that will be adopted. Then the development process from a predetermined design to the testing process to ensure the dashboard page can display data according to a predetermined scenario.Findings/result: From the research that has been done, produces a design of sensor data that is sent using the MQTT protocol via Node-RED, then stored in a time series database (InfluxDB) and displayed on the Grafana dashboard display.Originality/value/state of the art: Sensor data monitoring dashboard on Development Board devices
Smart card security mechanism with dynamic key N Noprianto; Vivi Nur Wijayaningrum
JURNAL INFOTEL Vol 13 No 4 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i4.652

Abstract

As a currently popular technology, the use of smart cards continues to increase in various fields and the rapid development of technology. Therefore, data security stored on a smart card needs to focus on avoiding misuse of data by unauthorized parties. However, it is not enough for the security mechanism to be carried out only during the communication process of sending data. Then, the mechanism for securing data on the smart card also needs to be done. In this study, a data security technique using dynamic keys is proposed by changing the key and access conditions on the smart card according to predetermined rules. Dynamic keys are a new mechanism proposed to authenticate smart cards using a different key on each card. This technique ensures that the keys used to access each smart card are different so that the risk of data duplication and modification threats can be minimized. In addition, this mechanism is a low-cost security privacy protection. The test results show that the data security technique using dynamic keys ensures that read and write access to the smart card can only be done if the keys match the rules.
Analisis Performa Seleksi Atribut untuk Menentukan Potensi Mahasiswa Putus Studi Vivi Nur Wijayaningrum; Ika Kusumaning Putri; Annisa Puspa Kirana; Muhammad Rizki Mubarok; Deatrisya Mirela Harahap; Berryl Radian Hamesha
Jurnal Informatika Polinema Vol. 9 No. 2 (2023): Vol 9 No 2 (2023)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v9i2.1300

Abstract

Banyaknya kasus mahasiswa putus studi yang terjadi di sejumlah pendidikan tinggi menjadi perhatian khusus di berbagai negara. Efek yang ditimbulkan akibat masalah ini antara lain dapat menghambat perekonomian dan produktivitas di negara tersebut. Untuk mengatasi hal tersebut, beberapa algoritma telah digunakan untuk memprediksi potensi mahasiswa putus studi. Berbagai atribut data yang berkaitan dengan informasi mahasiswa, seperti data pribadi, riwayat akademik, dan latar belakang mahasiswa digunakan sebagai bahan pertimbangan mahasiswa tersebut berpotensi putus studi atau tidak. Namun, banyaknya atribut data yang digunakan pada proses prediksi memungkinkan terjadinya overfitting, menurunnya performa algoritma, dan menambah waktu komputasi. Pada penelitian ini, seleksi atribut data dilakukan dengan menggunakan Chi Square, Pearson Correlation Coefficient, dan Random Forest untuk selanjutnya dapat dilakukan prediksi menggunakan Multi-Layer Perceptron. Hasil dari skenario pengujian dengan menggunakan berbagai variasi banyaknya atribut data menunjukkan terjadinya peningkatan nilai akurasi dan F1-Score saat dilakukan seleksi atribut dengan nilai rata-rata di atas 0.8.
STUDENT ACADEMIC PERFORMANCE PREDICTION FRAMEWORK WITH FEATURE SELECTION AND IMBALANCED DATA HANDLING Wijayaningrum, Vivi Nur; Kirana, Annisa Puspa; Putri, Ika Kusumaning
Jurnal Ilmiah Kursor Vol. 12 No. 3 (2024)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v12i3.356

Abstract

Various factors cause the low scores of students in practicum courses. If these factors cannot be identified, more and more students will drop out of the study due to low scores, especially Vocational College students who do not have the opportunity to improve their scores in the short semester. Students with the potential to drop out must be identified as soon as possible because the number of dropouts can have an impact on a university's accreditation value. In this study, the prediction of student academic performance was carried out using a framework consisting of imbalanced data handling using SMOTE and feature selection using Random Forest, as well as the application of Multi-Layer Perceptron (MLP) for the formation of a classification model. The MLP architecture consists of some neurons in the input layer, two hidden layers with five neurons each, and two neurons in the output layer. SMOTE succeeded in selecting ten significant parameters from 22 initial parameters, which produced the most accurate predictions. According to the test results, the proposed framework offers the best accuracy of 0.8889 and an F1-Score of 0.9032. These results prove that the proposed framework can be used as an alternative for the Department to take action to prevent students from dropping out.
Enhancing Power Transformer Oil Quality Weight Factor using A Genetic Algorithm Wijayaningrum, Vivi Nur; Abdillah, Muhammad Navis; Abdullah, Moch Zawaruddin
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 1 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i1.1052

Abstract

Power transformers are critical to electrical power systems but are prone to failures due to factors such as heat, electricity, chemical reactions, mechanical stress, and adverse environmental conditions. Moni-toring the insulating oil effectively is key to preventing these failures. A major challenge in this process is determining the optimal weights for the oil quality index, which lacks a standardized benchmark and often relies on subjective expert assessments. To reduce expert bias and subjectivity, this research utilizes a genetic algorithm to optimize the weightings for five essential parameters: color, water content, break-down voltage (BDV), interfacial tension (IFT), and acidity. The algorithm operates through three stages: crossover, mutation, and selection, and analyzes data from 504 oil tests across various transformers. The mean absolute percentage error (MAPE) is used as the fitness value to assess the algorithm's effective-ness. The optimization process determined the best conditions as 132 iterations, a population size of 180, a crossover rate of 0.2, and a mutation rate of 0.8. These parameters achieved an average MAPE of 1.799% over ten trials, indicating high accuracy. This research not only optimizes the weighting of the oil quality index but also significantly reduces the need for expert input and subjective judgments in trans-former maintenance. The findings are expected to improve the efficiency and reliability of power trans-formers, thereby minimizing failures and associated economic costs.
PENGEMBANGAN WEBSITE INOVATIF DAN PELATIHAN MITRA UNTUK PENINGKATAN BRANDING BATIK BLIMBING MALANG Vivi Nur Wijayaningrum; Mamluatul Hani’ah; Noprianto; Vipkas Al Hadid Firdaus; Annisa Puspa Kirana
Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2024): PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT - SNPPM2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Negeri Jakarta

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

Abstract

Abstract Batik Blimbing Malang, as a partner in community service activities, is known as a producer of high-quality batik, both hand-drawn and stamped, with a vision to introduce and preserve batik culture through education. However, the partner faces issues such as a lack of online visibility due to the absence of a website, weak product catalog management, and minimal documentation of training and workshop activities. To address these issues, this community service activity involved the development of an innovative website that not only showcases the business profile and product catalog but also includes bilingual features (Indonesian and English) to expand the audience reach. Additionally, training was provided to the partners to enable them to manage and update website content independently. The implementation method involved active participation from the partner in the design and development of the website, as well as interactive training on using features and digital marketing strategies. The results show that the website successfully enhanced Batik Blimbing Malang's online visibility and expanded market reach. The training provided also effectively improved the partner's skills in utilizing digital technology, supporting business growth, and strengthening branding at both local and international levels. With this digital solution, Batik Blimbing Malang can educate the public about batik culture through a more modern and accessible platform. Keywords: batik malang; digital training; digital marketing; technology; website. Abstrak Batik Blimbing Malang, sebagai mitra kegiatan pengabdian kepada masyarakat, dikenal sebagai produsen batik tulis dan cap berkualitas tinggi dengan visi mengenalkan dan melestarikan budaya batik melalui edukasi. Namun, mitra menghadapi masalah berupa kurangnya visibilitas online akibat tidak adanya website, lemahnya pengelolaan katalog produk, serta minimnya dokumentasi kegiatan pelatihan dan workshop. Untuk mengatasi masalah tersebut, pada kegiatan ini dilakukan pengembangan sebuah website inovatif yang tidak hanya menampilkan profil usaha dan katalog produk, melainkan juga dilengkapi dengan fitur bilingual (Indonesia dan Inggris) untuk memperluas jangkauan audiens. Selain itu, pelatihan diberikan kepada mitra agar mereka dapat mengelola dan memperbarui konten website secara mandiri. Metode pelaksanaan melibatkan partisipasi aktif mitra dalam perancangan dan pengembangan website, serta pelatihan interaktif tentang penggunaan fitur dan strategi pemasaran digital. Hasil kegiatan menunjukkan bahwa website berhasil meningkatkan visibilitas Batik Blimbing Malang secara online dan memperluas jangkauan pasar. Pelatihan yang diberikan juga berhasil meningkatkan keterampilan mitra dalam memanfaatkan teknologi digital, mendukung pertumbuhan usaha, dan memperkuat branding di tingkat lokal maupun internasional. Dengan solusi digital ini, Batik Blimbing Malang mampu mengedukasi masyarakat tentang budaya batik melalui platform yang lebih modern dan terjangkau. Kata kunci: batik malang; pelatihan digital; pemasaran digital; teknologi; website.
Jatropha Curcas Disease Identification using Random Forest Saragih, Triando Hamonangan; Wijayaningrum, Vivi Nur; Haekal, Muhammad
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20141

Abstract

As one of the most versatile plants, Jatropha curcas is spread in various regions around the world because of the great benefits it provides. However, Jatropha curcas is easily attacked by viruses which then cause damage to the plant, such as yellowing leaves and secreting sap, making it necessary to identify Jatropha curcas disease to deal with the problem as early as possible so that the losses incurred are not too large. An expert system was built to be able to identify Jatropha curcas disease by adopting expert knowledge. The use of the Random Forest algorithm as one of the classification algorithms was applied in this study. By using a random forest, several disease prediction classes are generated by each decision tree that has been formed. The disease class with the most votes was used as the final result. In this study, the data used were 166 data with 9 diseases and 30 symptoms. The results showed that Random Forest outperformed other algorithms such as Fuzzy Neural Network and Extreme Learning Machine with an accuracy of 98.002% using the composition of training data and test data of 70:30.
Monitoring Development Board based on InfluxDB and Grafana Noprianto, Noprianto; Wijayaningrum, Vivi Nur; Wakhidah, Rokhimatul
Telematika Vol 20 No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.7643

Abstract

Purpose: Designing a sensor data monitoring system using a time series database and monitoring platform on a Development Board device.Design/methodology/approach: It begins with a requirement analysis, such as the preparation of the required software and hardware, followed by the creation of the system architecture that will be adopted. Then the development process from a predetermined design to the testing process to ensure the dashboard page can display data according to a predetermined scenario.Findings/result: From the research that has been done, produces a design of sensor data that is sent using the MQTT protocol via Node-RED, then stored in a time series database (InfluxDB) and displayed on the Grafana dashboard display.Originality/value/state of the art: Sensor data monitoring dashboard on Development Board devices
Implementasi Metode Algoritma Genetika untuk Penerapan Optimasi Rute Pengantaran Paket di PT POS Cabang Utama Malang Malakianno P.N., Valentino; Vivin Ayu Lestari; Vivi Nur Wijayaningrum; Muhammad Isa Ansori
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 2: Februari 2026
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i2.12428

Abstract

Pada era digitalisasi, industri logistik dituntut untuk meningkatkan efisiensi operasional guna memenuhi kebutuhan pelanggan e-commerce yang semakin berkembang. PT POS Indonesia Cabang Utama Malang menghadapi kendala dalam proses distribusi barang ke Kantor Cabang Pembantu (KCP) yang tersebar di berbagai wilayah Kabupaten Malang. Penentuan rute pengantaran yang masih dilakukan secara manual tanpa pendekatan sistematis menyebabkan jarak tempuh tidak optimal dan waktu pengiriman menjadi lebih lama. Penelitian ini bertujuan mengembangkan sistem optimasi rute distribusi berbasis web menggunakan Algoritma Genetika untuk meningkatkan efisiensi operasional. Metode penelitian yang digunakan ialah Prototype dengan tahapan analisis kebutuhan, perancangan, evaluasi, pengkodean, pengujian, dan implementasi sistem. Algoritma Genetika diterapkan dengan parameter optimal meliputi populasi 80 individu, 2000 generasi, crossover rate 0,2, dan mutation rate 0,8. Sistem dibangun menggunakan framework Laravel dan basis data MySQL, kemudian diuji melalui blackbox testing dan User Acceptance Testing (UAT). Hasil menunjukkan seluruh fitur utama berjalan baik dengan tingkat keberhasilan 100% pada blackbox testing. Evaluasi UAT memperoleh nilai rata-rata 91,2%, mencakup aspek kegunaan, keandalan, dan relevansi hasil optimasi. Sistem yang dihasilkan mampu memberikan solusi sistematis terhadap permasalahan distribusi dan berkontribusi pada peningkatan efisiensi operasional PT POS Indonesia Cabang Utama Malang.
Implementasi Metode Algoritma Genetika untuk Penerapan Optimasi Rute Pengantaran Paket di PT POS Cabang Utama Malang Malakianno P.N., Valentino; Vivin Ayu Lestari; Vivi Nur Wijayaningrum; Muhammad Isa Ansori
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 2: Februari 2026
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i2.12428

Abstract

Pada era digitalisasi, industri logistik dituntut untuk meningkatkan efisiensi operasional guna memenuhi kebutuhan pelanggan e-commerce yang semakin berkembang. PT POS Indonesia Cabang Utama Malang menghadapi kendala dalam proses distribusi barang ke Kantor Cabang Pembantu (KCP) yang tersebar di berbagai wilayah Kabupaten Malang. Penentuan rute pengantaran yang masih dilakukan secara manual tanpa pendekatan sistematis menyebabkan jarak tempuh tidak optimal dan waktu pengiriman menjadi lebih lama. Penelitian ini bertujuan mengembangkan sistem optimasi rute distribusi berbasis web menggunakan Algoritma Genetika untuk meningkatkan efisiensi operasional. Metode penelitian yang digunakan ialah Prototype dengan tahapan analisis kebutuhan, perancangan, evaluasi, pengkodean, pengujian, dan implementasi sistem. Algoritma Genetika diterapkan dengan parameter optimal meliputi populasi 80 individu, 2000 generasi, crossover rate 0,2, dan mutation rate 0,8. Sistem dibangun menggunakan framework Laravel dan basis data MySQL, kemudian diuji melalui blackbox testing dan User Acceptance Testing (UAT). Hasil menunjukkan seluruh fitur utama berjalan baik dengan tingkat keberhasilan 100% pada blackbox testing. Evaluasi UAT memperoleh nilai rata-rata 91,2%, mencakup aspek kegunaan, keandalan, dan relevansi hasil optimasi. Sistem yang dihasilkan mampu memberikan solusi sistematis terhadap permasalahan distribusi dan berkontribusi pada peningkatan efisiensi operasional PT POS Indonesia Cabang Utama Malang.
Co-Authors Abdillah, Muhammad Navis Alysha Ghea Arliana Ananta, Ahmadi Yuli Andi Maulidinnawati A. K. Parewe Anggi Mahadika Purnomo Angki Christiawan Rongre Anim Rofi’ah Annisa Puspa Kirana Annisa Puspa Kirana Astiningrum, Mungki Asyrofa Rahmi Augusta, San Sayidul Akdam Aziz, Hamim Fathul Berryl Radian Hamesha Budi Harijanto, Budi Chintya Puspa Dewi Davia Werdiastu Deatrisya Mirela Harahap Dika Rizky Yunianto Dimas Shella Charlinawati Dini, Robih Eka Larasati Amalia Ermi Pristiyaningrum Farida Ulfa Farida Ulfa Febri Ramadhani Febrianti, Yane Marita Ficry Agam Fathurrachman Gotami, Nurina Savanti Widya Haekal, Muhammad Hamim Fathul Aziz Heny Dwi Jayanti Iftitah Hidayati Ika Kusumaning Putri Ika Kusumaning Putri Ilham Sinatrio Gumelar Imam Fahrur Rozi Lia Agustina Lubis, Wahyuni M. Hasyim Ratsanjani Malakianno P.N., Valentino Mamluatul Hani’ah Maulidina, Hanif Prasetyo Moch Zawaruddin Abdullah Mochammad Hairullah Muhammad Dimas Setiawan Sanapiah Muhammad Haekal Muhammad Isa Ansori Muhammad Rizki Mubarok Mustika Mentari Nabilah Argyanti Ardyningrum Naufal Yukafi Ridlo Noprianto Noprianto Noprianto Noprianto Noprianto, Noprianto Noprianto, Noprianto Novi Nur Putriwijaya Nur Khozin Nurina Savanti Widya Gotami Pambudi, Rizki Agung Putri, Annisa Rahmania Putri, Ika Kusumaning Qoirul Kotimah Restu Fitriawanti Restu Widodo Ridla, Ali Ar Robih Dini Rokhimatul Wakhidah Rudy Ariyanto San Sayidul Akdam Augusta Saputra, Firhad Rinaldi Saragih, Triando Hamonangan Talitha Raissa Vipkas Al Hadid Firdaus Vivin Ayu Lestari Wayan Firdaus Mahmudy Widiareta Safitri Yane Marita Febrianti