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Implementation of Support Vector Machine - Recursive Feature Elimination for MicroRNA Selection in Breast Cancer Classification Permatasari, Ratih; Wibowo, Adi
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 14 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v14i1.602

Abstract

Breast cancer is the most frequent cancer caused death among women. An attempt to reduce death cases caused by breast cancer, was to detect cancer cells when it still in early stage. MicroRNA is one of the biomarker for cancer that can be used to detect cancer cell even in its early stage. However, MicroRNA data tends to have thousand types of expression which required a lot of costs if it examined one by one thoroughly. Feature selection method can be used to extract important MicroRNAs that support clasification process between normal people and people with breast cancer. Support Vector Recursive Feature Elimination (SVM-RFE) is one of the feature selection method that can be used to select MicroRNA data. This research aims to produce the best smallest subset that contains selected MicroRNA expressions using the SVM-RFE as feature selection method. This experiment result showed that the best selected subset was able to provide 99% classification accuracy with only 3 MicroRNA expressions, where 2 from 3 selected MicroRNA hold potential as a biomarker of breast cancer.
Evaluation of Machine Learning Algorithms for Classifying User Perceptions of a Child Health Monitoring Application Rahmawati, Eka; Wibowo, Adi; Warsito, Budi
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.24639

Abstract

Child growth and development are crucial aspects that every parent should monitor carefully. Proper growth and development foster the creation of a high-quality generation for the nation’s future. Recognizing the importance of monitoring children's growth, the Indonesian Pediatric developed PrimaKu, an application designed to assist parents in tracking the children's growth and development. The application includes health guidelines, growth monitoring tools, and immunization schedules. To maximize the application’s effectiveness, it is essential to evaluate its acceptance by the community, which can be assessed through user perceptions. This study evaluates the performance of machine learning algorithms, including Random Forest, Support Vector Machine, Naive Bayes, and Decision Tree, in classifying user perceptions of the PrimaKu application. The results revealed that the Support Vector Machine model achieved the highest accuracy of 81%, followed by Random Forest at 77%, Decision Tree at 74%, and Naive Bayes at 73%. Precision, recall, and F1-score used to validate the models' performance as the evaluation metrics. The findings underscore the potential of machine learning techniques in effectively classifying user feedback, providing valuable insights for improving application development and enhancing user satisfaction. This study contributes to understanding user acceptance of digital tools for child health monitoring, paving the way for better application usability and community impact
Design of a Web-Mobile Based Information System for Monitoring Maintenance and Repair Reports of Electrical Substations Leni, Leni; Wibowo, Adi
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.256

Abstract

The manual workflow for reporting maintenance and repair of electrical substations at PT Haleyora Power, which relies on WhatsApp and Microsoft Excel, creates various obstacles, such as delays, risk of data errors, and a minimal capacity for real-time monitoring. This research aims to design and implement a web-based monitoring information system to overcome these inefficiencies. The development method used is Prototyping, which emphasizes active user involvement through an iterative evaluation cycle. The system was built using PHP-MySQL and comprehensively tested based on five quality aspects from the ISO/IEC 25010 standard: functional suitability, reliability, usability, performance efficiency, and security. The research results show the system was successfully built and passed all tests, achieving 100% in functional suitability, high reliability with no data loss, and a usability score of 86%, which is categorized as 'very feasible' by users. The implemented system successfully transformed the manual reporting process into a centralized digital workflow, significantly improving efficiency, data accuracy, and providing real-time monitoring capabilities for management.
CLASS MANAGEMENT IN IMPROVING THE QUALITY OF ISLAMIC BOARDING SCHOOL EDUCATION Khotimah, Khusnul; Suswati, Suswati; Muhajir, Muhajir; Wibowo, Adi
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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

Abstract

This research aims to describe the student management of MTs Negeri 1 Purworejo, the implementation of student programs in an effort to improve student achievement, and the implementation of student programs in an effort to shape student character at MTs Negeri 1 Purworejo. This type of research is descriptive qualitative. Data collection methods use observation, interviews and documentation methods. Data validity was carried out using data triangulation. The data analysis technique uses a flow model according to Miles and Huberman, namely data collection, data reduction, data presentation, and drawing conclusions. The research results show that: 1) Student management at MTs Negeri 1 Purworejo is carried out by planning, organizing, actualizing and supervising student programs in the field of student development. 2) Implementation of student programs in an effort to improve student achievement at MTs Negeri 1 Purworejo is carried out through fostering academic achievement by the curriculum sector, fostering non-academic achievement through extracurricular activities and building achievement. 3) Implementation of student programs in an effort to shape student character at MTs Negeri 1 Purworejo is carried out through firstly developing student discipline, secondly character building by integrating character values in learning tools, integrating character values in P5RA, self-development or habituation, exemplary activities, and nationalism activities and patriotism.Keywords:   Manajemen Kesiswaan, Prestasi Siswa, Karakter Siswa.
IMPLEMENTATION OF RELIGIOUS CHARACTER EDUCATION BASED ON PESANTREN HOUSING AT SMP NURUL MUTTAQIN PURWOREJO Ribah, Muhammad Ato Ibnu; Aprillia, Teya; Daimah, Daimah; Wibowo, Adi
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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

Abstract

The dynamics of the development of Education in Indonesia has always been colored by various problems which until now continue to be homework together. The problem is related to the Education system, curriculum, quality of graduates, well-being and integrity of educators, infrastructure, costs, and accountability of Education institutions and managers. In addition to these problems, our education is also faced with the problem of the moral decadence of the younger generation. One of the causes of this problem is that educational institutions are still not optimal in carrying out their role. Educational institutions in Indonesia are judged to give a very large portion to the transmission of knowledge, but less or even forget the development of attitudes, values and behavior in learning. Similarly, in the evaluation process, the cognitive dimension becomes the main yardstick to determine the level of student performance. As a result, educational institutions are able to produce graduates who have extensive knowledge but care less about the social environment around them. Ironically, this educational practice also takes place in a madrasah, which is an Islamic educational institution. Madrasas should emulate the efforts made by pesantren in terms of instilling character, namely through habituation, discipline, learning process and integration in learning materials.
RANCANG BANGUN IMPLEMENTASI ALAT JEMURAN OTOMATIS BERBASIS ARDUINO DAN SENSOR HUJAN Wahyudi, Edi; Wibowo, Adi
Journal Computer Science and Information Systems : J-Cosys Vol 5, No 2 (2025): September
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/jco.v5i2.658

Abstract

Aktivitas menjemur pakaian sangat dipengaruhi oleh kondisi cuaca, di mana hujan mendadak atau mendung berkepanjangan dapat menyebabkan pakaian yang sedang dijemur menjadi basah kembali. Penelitian ini merancang dan mengimplementasikan sistem jemuran otomatis berbasis mikrokontroler ESP8266 dengan integrasi sensor hujan, sensor LDR, servo MG90S, LCD I2C, buzzer, dan platform Blynk IoT untuk pemantauan dan pengendalian jarak jauh. Algoritme kontrol menggunakan logika berbasis cuaca dan jadwal waktu menjemur (07.30–16.00 WIB) yang disinkronkan melalui Network Time Protocol (NTP). Mekanisme hysteresis diterapkan pada pembacaan sensor LDR untuk mengurangi perubahan status akibat fluktuasi cahaya singkat. Hasil pengujian menunjukkan sistem mampu mendeteksi hujan dan kondisi mendung secara akurat, dengan akurasi rata-rata 93,33% dan waktu respons rata-rata 2,8 detik untuk ketiga kondisi cuaca yang diuji. Sistem dapat menggerakkan jemuran dari posisi keluar ke masuk atau sebaliknya dalam waktu 1,3–1,6 detik, serta mengirimkan data telemetri secara real-time ke dashboard Blynk. Implementasi ini terbukti efektif dalam mengurangi risiko pakaian basah kembali akibat hujan mendadak, meningkatkan efisiensi waktu dan tenaga pengguna, serta mendukung penerapan konsep smart home yang andal dan ramah pengguna.
Evaluating Industrial Areas with Spatial Multicriteria Analysis (SMCA) Noer, Marwah; Wibowo, Adi
Indonesian Journal of Earth Sciences Vol. 4 No. 1 (2024): January-June
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2024.845

Abstract

The assessment of industrial areas stands as a pivotal challenge, increasingly recognized for its urgency across various regions. The industrial sector is a cornerstone of national economic development, contributing significantly to growth and enhancing community welfare. Nonetheless, the establishment of industries also poses environmental and societal risks, primarily due to potential pollution. This study focuses on evaluating the suitability of industrial zones in East Cikarang District, Bekasi Regency, through spatial analysis, benchmarking findings against government-regulated industrial areas as outlined in the Bekasi Regency spatial plan for 2011-2031. Employing Spatial Multicriteria Analysis (SMCA) via ILWIS software, this research aims to deliver a comprehensive assessment of industrial locations by considering variables such as proximity to roads, rivers, settlements, land slope, and alignment with designated industrial zones in the regional spatial plan. The analysis reveals a nuanced classification of industrial suitability, with 48.55% of the area deemed highly suitable, indicating a substantial portion of East Cikarang District is favorable for industrial development. Conversely, a smaller segment falls into the less suitable or unsuitable categories. Overall, the study concludes that 55% of the region qualifies as suitable for industrial purposes based on the SMCA-derived spatial model, with 98.1% of the assessed area aligning with the criteria for designated industrial zones. These insights are intended to guide industrial planning and environmental management strategies, fostering sustainable development within the region.
Big data analytics for relative humidity time series forecasting based on the LSTM network and ELM Kurnianingsih, Kurnianingsih; Wirasatriya, Anindya; Lazuardi, Lutfan; Wibowo, Adi; Enriko, I Ketut Agung; Chin, Wei Hong; Kubota, Naoyuki
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.905

Abstract

Accurate and reliable relative humidity forecasting is important when evaluating the impacts of climate change on humans and ecosystems. However, the complex interactions among geophysical parameters are challenging and may result in inaccurate weather forecasting. This study combines long short-term memory (LSTM) and extreme learning machines (ELM) to create a hybrid model-based forecasting technique to predict relative humidity to improve the accuracy of forecasts. Detailed experiments with univariate and multivariate problems were conducted, and the results show that LSTM-ELM and ELM-LSTM have the lowest MAE and RMSE results compared to stand-alone LSTM and ELM for the univariate problem. In addition, LSTM-ELM and ELM-LSTM result in lower computation time than stand-alone LSTM. The experiment results demonstrate that the proposed hybrid models outperform the comparative methods in relative humidity forecasting. We employed the recursive feature elimination (RFE) method and showed that dewpoint temperature, temperature, and wind speed are the factors that most affect relative humidity. A higher dewpoint temperature indicates more air moisture, equating to high relative humidity. Humidity levels also rise as the temperature rises.
Reclassification of Agroecological Zones: Case Study at Nangapanda, Ende, East Nusa Tenggara Paramitha Putri, Nadya; Frimawaty, Evi; Wibowo, Adi
Journal of World Science Vol. 2 No. 7 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i7.322

Abstract

An agroecological zone can be one of the agricultural planning assessments that consider the environment's physical conditions and the commodities suitable for those conditions. Mapping of agroecological zones in Indonesia has been carried out by the Ministry of Agriculture but on an extensive coverage (small scale) so that it is not representative at the district level. This study aims to update the spatial map of agroecological zones in Nangapanda District so the agroecological zones map becomes more detailed and more representative to be used as a reference for development at the district level, especially for agriculture. The assessment of agroecological zones will be based on the 2013 AEZ module of the Agricultural Research and Development Agency (BPPP) and carried out with spatial overlay analysis using a geographic information system. The results showed that on a scale of 1:50.000, the agroecological zones formed in Nangapanda were dominated by Zone IIay (dry lowland annual crops) with 9.120,87 ha (47,93%) followed by Zone I (forestry) with 8.432,29 ha (44,31%), Zone IIIay (dry lowland annual and food crops) 690,58 ha (3,63%), Zone IIby (dry midland annual crops) 517,69% (2,72%), and Zone IVay (dry lowland food crops) 270 ha (1,42%). These updated agroecological zones are very different from the 1:250.000 scale BPPP 2013 agroecological zones in terms of zoning, detail, dan spatial patterns. The results of this study are expected to help in planning and decision-making for planting commodities following the environment's physical conditions.
OTOMASI PERALATAN ELEKTRIK DAN PEMANTAUAN SUHU BERBASIS IoT MENGGUNAKAN NODEMCU DAN BLYNK 2.0 Wibowo, Adi; Drihananto, Angga
Journal of Software Engineering and Technology. Vol 3, No 1 (2023): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v3i1.87

Abstract

 Internet of Things (IoT) adalah sebuah konsep di mana sebuah objek tertentu memiliki kemampuan untuk mengirimkan data melalui jaringan dan tanpa adanya interaksi dari manusia ke manusia ataupun dari manusia ke perangkat komputer. Jadi singkatnya, IoT akan menjadi teknologi yang memungkinkan segala hal terkoneksi dengan internet, misalnya mengontrol perangkat rumah seperti AC, kulkas, atau TV kini bisa dilakukan secara remote dari satu perangkat saja. Pengontrolan alat dan instrumen dengan kode dan algoritma yang diinputkan kedalam node MCU ESP 8266. Otomasi rumah menggunakan IoT untuk mengoperasikan lampu atau perangkat rumah tangga lainnya, dapat juga digunakan sebagai sistem keamanan atau sistem aplikasi industri, misalnya, untuk membuka atau menutup gerbang gedung utama, untuk mengoperasikan mesin industri otomatis, atau bahkan untuk mengontrol internet dan komunikasi pelabuhan. Juga lebih banyak ide dapat dilakukan dengan menggunakan teknologi IoT. Fasilitas perusahaan besar atau lembaga pemerintah memiliki banyak lampu, hal ini memungkinkan karyawan lupa mematikan saat meningggalkan ruangannya. Penelitian ini menyarankan solusi yang dapat menghemat energi untuk membantu keamanan mengontrol penggunaan lampu dan kipas pada gedung dengan rumah tinggal menggunakan aplikasi Blynk 2.0. Penelitian ini membuat otomasi peralatan elektrik dan monitor sensor suhu ruangan, dengan atau cara mudah dan biaya rendah melalui koneksi Wi-Fi. Penelitian ini menyarankan solusi yang dapat menghemat energi untuk membantu keamanan mengontrol penggunaan lampu pada gedung atau rumah menggunakan aplikasi Blynk 2.0. penelitian ini berfokus pada pengendalian lampu, kipas angin dan monitor kondisi suhu ruangan menggunakan  aplikasi Blynk 2.0.
Co-Authors Adi Wibowo Adiputera, Yusuf Fahmi Agus Winarno, Agus Airawata, Chintya Puteri Akhmad Yun Jufan Amir Amir Andre Leander Anggraini, Kurnia Anindya Wirasatriya Aprillia, Teya Aris Puji Widodo Aris Sugiharto Arista, Faza Ariyanti, Atika Astuty, Yulia Indri Aulia Kumala, Shofa Aulia, Hozana Baharun, Hasan Baskoro Baskoro, Baskoro Bayu Surarso Budi Warsito Cendani, Linggar Maretva Chin, Wei Hong Daimah Daimah Daimah, Daimah Djayanti Sari Drihananto, Angga Dyna Marisa Khairina eka rahmawati Evi Frimawaty Fajrul Falah, M Rizqi Faridah, Ida Febriatul Khasanah, Qoidah Firdonsyah, Arizona Gafuraningtyas, Dewi Gunanto, Sigit Hadi, Marhensa Aditya Handayani, Alfania Sarah Helmie Arif Wibawa HENDRI WASITO Hening Pratiwi, Hening Heri setiawan I Ketut Agung Enriko Imam Ahmad Ashari, Imam Ahmad Indra Jaya Indrajaya, Indrajaya Ita Nurmalasari Junta Zeniarja Khusnul Khotimah khusnul khotimah Kosasih, Eva Dania Kubota, Naoyuki Kumala, Shofa Aulia Kuncoro Adi Pradono Kurnianingsih Kurnianingsih, Kurnianingsih Kushartantya Kushartantya Leni Leni Lily Puspa Dewi Lutfan Lazuardi Made Suadnyani Pasek Maori, Nadia Annisa Mardalena, Ayu Moh. Roqib Mohamad Madum Muhajir Muhajir, Muhajir Mulyani, Heny Muslihatin Nurhasanah Nia Kurnia Sholihat, Nia Kurnia Noer, Marwah Noor Azizah Nugroho, Adam Nur Cholid, Nur Nur Hadian Nurmalasari, Ita Paramitha Putri, Nadya Pradono, Kuncoro Adi Pratomo, Bhirowo Yudho Purwaningsih, Yuli Purwanto Purwanto Putri, Niken Anissa Putro, Abraham Timotius Asmoro Rahmadi Rakyan Paksi Nagara Rani Rubiyanti, Rani Ratih Permatasari Ratna Saraswati, Ratna Ribah, Muhammad Ato Ibnu Rini Nuraini, Rini Rizal, Himmatur Rofikatul Maula Roisu Eny Mudawaroch Rosyidy, Muhamad Khairul Roziana Roziana, Roziana Saepurohman, Aep Shintiani, Selly Shofy, Yuny Fikriyah Siti Nur Hasanah, Siti Nur Slamet Riyanto Solihat, Nia Kurnia Sri, Tovani subur subur Suhartini Ismail, Suhartini Supriyatin, Tabah Suseno, Aji suswati suswati Sutikno Sutikno Sutrisno, Sutrisno Tri, Indra Gaya Triraharjo, Bambang Ulumuddin, Imam Khoirul Veronica, Kiki Winda Vianita, Etna Wahyudi, Edi Wahyul Amien Syafei WARDAH, ZAHROTUL Whisnumurti Adhiwibowo Wiranjaya, I Wayan Satryadi Yulia, Nunung Z, M Abdul Fatah Z, Muhammad Abdul Fatah