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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Eksakta : Berkala Ilmiah Bidang MIPA Science and Environmental Journals for Postgraduate Journal of Innovative and Creativity
Syafrijon Syafrijon
Department Of Electronics Engineering, Faculty Of Engineering, Universitas Negeri Padang, Padang, Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Design and Development a Smart Control System for Temperature and Turbidity of Bio Floc Fish Ponds Ambran Hartono; Ahmad Rofiq; Jalu Ahmad Prakosa; Ramli Ramli; Syafrijon Syafrijon
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol24-iss02/400

Abstract

Bio floc aquaculture techniques are present as a solution to increase the productivity of fish farming. However, until now there are still problems, namely regarding the quality of the water from the pond. In this study, a monitoring tool was designed using an ESP32 microcontroller with the support of a BME280 sensor, RTD PT100 to measure water temperature and a turbidity sensor to measure floc volume. Furthermore, this sensor is planted on Wi-Fi to be able to connect to the internet network for IoT applications so that it can be monitored in real time. Likewise, the display results from the monitoring of the application system are directly read on the Google sheet display and in real time. From the test results of the system built, obtained the accuracy level of the BME280 sensor is 96.5%, PT100 RTD is 94.6% and for the turbidity sensor is 98%. Meanwhile the observed air temperature value can reach 34.36°C, the water temperature reaches 28.75°C, and the floc ratio reaches 30.15 mL.L-1. From the results shown, it clearly indicates that the water quality monitoring system has been successful and is working very well.
Klasifikasi Analisis Tekstur Citra Radiografi Panoramik Gigi Untuk Deteksi Osteoporosis Menggunakan Metode K-Nearest Neighbor (KNN) Yudhi Diputra; Syafrijon Syafrijon; Emilham Mirshad
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 11, No 3 (2023): Vol. 11, No 3, September 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v11i3.124871

Abstract

Osteoporosis merupakan salah satu penyakit yang berkaitan dengan proses penuaan (degeneratif) yang diindikasikan dengan terjadinya penurunan kerapatan yang cepat dan penipisan jaringan tulang sehingga terjadi penurunan kekuatan mekanik tulang dalam mendukung aktivitas sehari-hari. Teknik yang banyak dikembangkan untuk pengukuran yang berkaitan dengan massa tulang, serta dianggap sebagai gold standard adalah Dual Energi X-ray Absorptiometry (DXA).  Beberapa penelitian sebelumnya memberikan peluang pemanfaatan citra radiografi panoramik gigi untuk analisis kerapatan trabekula tulang mandibula. Hasil ini digunakan sebagai sarana dekteksi dini kondisi Bone Mineral Density (BMD). Penelitian ini bertujuan melakukan klasifikasi terhadap hasil analisis tekstur menggunakan prinsip Grey Level Co-occurence Matrix (GLCM) pada citra panoramik gigi. Dari metode GLCM diperoleh ekstraksi fitur yang selanjutnya dijadikan input bagi K-Nearest Neighbor (KNN) untuk melakukan klasifikasi. Uji coba dilakukan menggunakan data BMD vertebra lumbar dan citra panoramik gigi 23 sampel wanita berusia antara 52 – 73 tahun yang telah memasuki masa postmenopause. Hasil klasifikasi kelas normal dan osteoporosis menggunakan KNN (9 data latih dan 14 data uji) memberikan pengenalan paling baik dengan akurasi 78,57%, sensitivitas (tingkat benar positif) 100% dan spesifisitas (tingkat benar negatif) 66,67%. Pengenalan paling baik didapatkan menggunakan fitur contrast, energy, dan homogeneity dan kombinasi ketiganya sebagai input bagi klasifikasi KNN.Kata kunci : Osteoporosis, citra radiografi panoramik, analisis tekstur, Grey Level Co-occurrence Matrix (GLCM), K-Nearest Neighbor (KNN). Osteoporosis is a degenerative disease which is characterized by a rapid decrease in bone density resulting in a decrease in the mechanical strength of the bones to support daily activities. The gold standard for bone mass measurement is Dual Energy X-ray Absorptiometry (DXA). Several previous studies provided the opportunity to utilize dental panoramic radiographic images for analysis of mandibular trabecular bone density. These results are used as an early detection tool for Bone Mineral Density (BMD) conditions. This research tries to use the feature extraction results of texture analysis using Grey Level Co-occurrence Matrix (GLCM) on dental panoramic images as input for K-Nearest Neighbor (KNN) to carry out classification. The trial was conducted using lumbar vertebral BMD data and dental panoramic images from 23 samples of women aged between 52-73 years who had entered the postmenopausal period. Classification results of normal and osteoporosis using KNN (9 training data and 14 test data) gave the best recognition with an accuracy of 78.57%, a sensitivity of 100% and a specificity of 66.67%. The best recognition is obtained by using contrast, energy, and homogeneity features and their combination as input for KNN classification.Keywords: Osteoporosis, dental panoramic radiograph, texture analysis, Grey Level Co-occurrence Matrix (GLCM), K-Nearest Neighbor (KNN) . 
Regulatory Policy Content of Hazardous Materials Mercury in Illegal Bleaching Creams Syafrijon Syafrijon; Syahfori Widiyani; Aldri Frinaldi; Rembrandt Rembrandt; Dasman Lanin; Genius Umar
Science and Environmental Journal for Postgraduate Vol 5 No 2 (2023): Science and Environmental Journals for Postgraduate (SENJOp)
Publisher : Postgraduate School, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/senjop.v5i2.200

Abstract

Mercury (Hg) is a metal element that is often used in technology development, especially in the beauty sector. Several brands of creams can be seen in the market, have no manufacturing or expiry date stated, labeling is incomplete, or contain levels of bleach which can only harm the skin itself. The creams may have up to 10,000 ingredients in them, common ones being steroids, arbutin, ascorbic acid, hydroquinone, and kojic acid, including high levels of toxic metals such as mercury. There are still many Indonesian women who lose that white and smooth skin is a symbol of beauty. This makes them do various ways to get white and smooth skin. Facial whitening creams that contain mercury metal in cosmetic ingredients are widely used. Cosmetic products containing mercury generally promise a white face in a short time, so many women are interested in using them. This is used by cosmetic manufacturers who sell face whitening creams containing hazardous ingredients, such as mercury. Public policies need to be regulated to prevent impacts on the skin health of users. This article is the result of a study from several sources, namely information that appears in the community and also through several articles.
Perspective of the Baduy Community in Utilizing Health Services Bismihayati Bismihayati; Emon Azriadi; Rahmi Putri Wirman; Mila Sari; Serly Mutia Sari; Siska Wardeni; Syafrijon Syafrijon; Eri Barlian; Siti Fatimah; Iswandi Umar
Science and Environmental Journal for Postgraduate Vol 5 No 2 (2023): Science and Environmental Journals for Postgraduate (SENJOp)
Publisher : Postgraduate School, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/senjop.v5i2.211

Abstract

A good health service system is an important part of improving health status and is a necessity for everyone. This system will enable the achievement of health development goals in an efficient, efficient, and targeted manner, and will provide effective health services by taking into account the values that exist in society. Sick community most often self-medicate, both in urban and rural areas. The Baduy community are famous for maintaining their unique traditions and lifestyle and avoiding the effects of modernization. They live simply and respect nature. They shun other community and strictly adhere to their customs. They oppose government policies to provide facilities to other parties, such as building education and health centers. As a result, community there use more traditional health services such as dukun and paraji according to their religious beliefs. This activity was carried out through direct observation and interviews with the Baduy community in Kanekes Village, Leuwidamar Sub-district, Lebak Regency, Banten Province. The purpose of this activity was to see how the perspective of the Baduy community in the utilization of health services. From the results of observations and interviews, it can be concluded that the Baduy community, especially the Baduy Dalam, get more health services through traditional medicine, but if they need more intensive care, there is the Cisimeut health center, which is the only community health center in Baduy that allows the Baduy community to get adequate medical care. need medical personnel. However, access to the community health center takes two to three hours.
Rancang Bangun Aplikasi Smart Academic Scheduler Menggunakan Algoritma Genetika di Departemen Teknik Elektronika Universitas Negeri Padang Nazwa Nurfadhilla Phitri; Khairi Budayawan; Resmidarni Resmidarni; Syafrijon Syafrijon
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.817

Abstract

Penyusunan jadwal akademik yang efektif merupakan tantangan di Departemen Teknik Elektronika Universitas Negeri Padang karena kompleksitas data dan banyaknya program studi, dosen, serta ruang kelas. Penelitian ini merancang dan membangun aplikasi Smart Academic Scheduler berbasis algoritma genetika untuk mengoptimalkan penjadwalan akademik dengan mempertimbangkan berbagai batasan seperti ketersediaan dosen, kapasitas ruang, dan konflik waktu. Metode prototype digunakan dalam pengembangan aplikasi dengan iterasi evaluasi terkait akurasi Algoritma Genetika. Hasil menunjukkan algoritma genetika mampu menghasilkan jadwal optimal dengan nilai fitness mendekati 1 pada generasi ke-179, serta penggunaan teknik seleksi Tournament dan Elitism mempercepat konvergensi solusi. Aplikasi ini diharapkan dapat meningkatkan efisiensi dan akurasi penjadwalan akademik di Departemen Teknik Elektronika.
Penerapan Metode Fuzzy Logic Mamdani Untuk Prediksi Curah Hujan Di Kota Padang M. Fikri; Khairi Budayawan; Yeka Hendriyani; Syafrijon Syafrijon
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3226

Abstract

Penelitian ini bertujuan untuk mengembangkan model prediksi curah hujan harian di Kota Padang menggunakan metode Fuzzy Logic Mamdani. Latar belakang penelitian didasari oleh tingginya curah hujan di Kota Padang yang berdampak signifikan pada sektor pertanian, transportasi, dan mitigasi bencana, serta keterbatasan metode prediksi konvensional dalam mengelola ketidakpastian dan variabilitas data meteorologi. Metode yang digunakan meliputi pengumpulan data historis harian suhu udara, kelembapan udara, tekanan udara, dan curah hujan dari BMKG Kota Padang untuk periode 2021–2025. Data diproses melalui tahap pra-pemrosesan, normalisasi, dan fuzzifikasi menggunakan fungsi keanggotaan segitiga. Sistem dibangun dengan basis aturan if–then sebanyak 27 aturan yang merepresentasikan hubungan antar variabel input dan output. Proses inferensi dilakukan menggunakan metode Mamdani dan hasilnya dikonversi menjadi nilai numerik melalui defuzzifikasi metode centroid. Implementasi model dilakukan menggunakan bahasa pemrograman Python dengan integrasi ke dalam aplikasi web berbasis Flask untuk prediksi secara real-time. Hasil penelitian menunjukkan bahwa model Fuzzy Logic Mamdani mampu menghasilkan prediksi pola curah hujan yang stabil pada kategori ringan hingga sedang, meskipun akurasi numerik pada kondisi hujan ekstrem masih terbatas. Evaluasi kinerja model menghasilkan nilai MAE sebesar 54,47, RMSE sebesar 56,75, dan R² sebesar –3,62. Model ini dinilai bermanfaat sebagai sistem peringatan dini atau estimasi awal yang bersifat linguistik, bukan perhitungan presisi numerik. Kesimpulan dari penelitian ini adalah metode Fuzzy Logic Mamdani dapat diimplementasikan untuk memprediksi curah hujan di Kota Padang dengan efektivitas yang cukup baik pada pola umum hujan, dan berpotensi ditingkatkan akurasinya melalui optimasi fungsi keanggotaan atau integrasi dengan metode kecerdasan buatan lainnya.
REKAYASA APLIKASI PERAMALAN CURAH HUJAN DAN POTENSI BANJIR DI KOTA PADANG Manja Fani Oktavia; Syafrijon Syafrijon; Denny Kurniadi; Delvi Asmara
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.8054

Abstract

Kota Padang merupakan wilayah dengan curah hujan tinggi sepanjang tahun sehingga risiko banjir dapat terjadi kapan saja. Namun, sistem peringatan dini yang digunakan saat ini masih bersifat kualitatif dan belum mampu memberikan estimasi kuantitatif potensi banjir yang mendukung mitigasi preventif. Oleh karena itu, penelitian ini bertujuan untuk merekayasa aplikasi peramalan curah hujan bulanan dan potensi banjir di Kota Padang berbasis machine learning yang dilengkapi dengan analisis interpretatif. Penelitian ini menerapkan metodologi CRISP-DM untuk pengembangan model prediksi, dengan algoritma Random Forest Regressor dan XGBoost Regressor sebagai kandidat model yang dievaluasi. Data yang digunakan berupa data iklim historis yang mencakup curah hujan, suhu, dan kelembapan. Proses pemodelan dilakukan dengan membandingkan kinerja kedua algoritma menggunakan metrik Root Mean Square Error (RMSE) dan Mean Absolute Error (MAE). Untuk meningkatkan transparansi hasil prediksi, penelitian ini menerapkan Explainable Artificial Intelligence (XAI) menggunakan metode SHAP guna menjelaskan kontribusi masing-masing variabel terhadap hasil peramalan.Pengembangan sistem dilakukan menggunakan metode rekayasa perangkat lunak Waterfall dengan arsitektur modular three-tier architecture dan diimplementasikan dalam bentuk aplikasi web. Hasil penelitian menunjukkan bahwa model Random Forest menghasilkan kinerja prediksi yang lebih baik dibandingkan XGBoost. Aplikasi yang dibangun mampu menampilkan hasil peramalan, klasifikasi potensi banjir, serta visualisasi interpretatif, dan telah lulus pengujian fungsional dengan tingkat keberhasilan 100%. Sistem ini dinilai layak digunakan sebagai sistem pendukung keputusan BPBD Kota Padang dalam meningkatkan kesiapsiagaan dan mitigasi banjir.
Co-Authors Ahmad Rofiq Aldri Frinaldi Ambran Hartono Bismihayati Bismihayati Budayawan, Khairi Dasman Lanin Delvi Asmara Denny Kurniadi Emilham Mirshad Emon Azriadi Eri Barlian Genius Umar Iswandi U Jalu Ahmad Prakosa M. Fikri Manja Fani Oktavia Mila Sari Nazwa Nurfadhilla Phitri Rahmi Putri Wirman Ramli Ramli Rembrandt Rembrandt Resmidarni Resmidarni Serly Mutia Sari Siska Wardeni Siti Fatimah Syahfori Widiyani Yeka Hendriyani Yudhi Diputra