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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika KACANEGARA Jurnal Pengabdian pada Masyarakat Journal of Information System Exploration and Research
M Rivaldi Ali Septian
Telkom University
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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The Effect of Digitalization on Business Performance in the MSME Industry Context Umar, Fadhil; Septian, M. Rivaldi Ali; Pertiwi, Dwika Ananda Agustina
Journal of Information System Exploration and Research Vol. 2 No. 1 (2024): January 2024
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v2i1.199

Abstract

The current digital era is increasingly developing in the use of new technology that creates value for companies and offers benefits. Digitalization is useful for increasing competitive advantage to improve business performance. The purpose of this study is to find out whether digitalization affects business performance and to find out whether competitive advantage can mediate digitalization on business performance. The sample of this research is 115 SMEs in Semarang. data were analyzed using the SEM approach with the smartPLS tool. The results of the study show that the digitalization variable has an influence on business performance, furthermore, competitive advantage also has a positive and significant effect on business performance. The results of the indirect effect test also show that competitive advantage can mediate the relationship between digitalization and business performance. The better the implementation of digitalization, the higher the competitive advantage MSMEs, consequently leading to an increase the business performance.
The Influence of Determining the K-Value on Improving the Diabetes Classification Model using the K-NN Algorithm Korina, Nanda Putri; Prasetiyo, Budi; Hakim, Ade Anggian; Septian, M Rivaldi Ali
Journal of Information System Exploration and Research Vol. 2 No. 2 (2024): July 2024
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v2i2.344

Abstract

Diabetes mellitus is still an important health problem globally, so it requires an efficient classification model to help determine a patient's diagnosis. This study aims to determine the K-value on the accuracy performance of the diabetes classification model using the K-Nearest Neighbors (K-NN) algorithm. This research utilizes a simulated dataset generated through interaction with ChatGPT, we investigate various K-values ​​in the K-NN model and assess its accuracy using a confusion matrix. Based on experiments, we found that the K-NN classification model with a K=6 obtained an optimal accuracy of 97.62%. Thus, our findings highlight the important role of selecting optimal K-values ​​in improving the performance of diabetes classification models.
Design of Compact, Low-cost Electrochemical Electronic Reader (Potentiostat) for Chemical Compound Analysis Harimurti, Suksmandhira; Gamalyn, Irene Maria; Johan, Tengku Abdurrazak; Septian, M. Rivaldi Ali; Anshori, Isa; Estananto, Estananto
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 4: December 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i4.7027

Abstract

The development of low-cost electrochemical electronic reader (potentiostat) has been vastly growing recently since it could serve as a rapid chemical compound detection. Nevertheless, the realization of a low-cost potentiostat, having a compact size and providing multi-feature, is challenging. Here, a compact, low-cost potentiostat, supporting multi electrochemical methods was demonstrated. The total dimension was (10.8 x 4.6 x 3.5) cm3 with the weight of only 75.6 g. By using 16-bit analog-to-digital converter (ADC) and 12-bit digital-to-analog converter (DAC) components, the potentiostat facilitated a current input range of ±580 µA with a resolution of 23.5 nA and a voltage sweep range of ±1.5 V with a resolution of 800 µV. For the electrochemical measurement, it supported cyclic voltammetry (CV) and differential pulse voltammetry (DPV) methods. Furthermore, in comparison with a commercial potentiostat (Sensit Smart), the potentiostat showcased a good accuracy performance. In detail, the average relative accuracy of the CV method test was 91% and 95% for the anodic (Ianodic) and cathodic peak currents (Icathodic), respectively. For DPV method, the lowest relative accuracy of the peak current (Ipeak) was still 83%. These results demonstrated that our potentiostat could promisingly be utilized for chemical compound detection in low-cost setting or rural areas.
Optimization System on Photoplethysmography (PPG) Signal using Analog and Digital Filters M. RIVALDI ALI SEPTIAN; SUKSMANDHIRA HARIMURTI; WAHMISARI PRIHARTI; ISWAHYUDI HIDAYAT; MOHAMAD RAMDHANI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.121

Abstract

Photoplethysmography (PPG) adalah teknik non-invasif untuk memantau denyut jantung dan saturasi oksigen, namun rentan terhadap noise. Penelitian ini bertujuan mengoptimalkan kualitas sinyal PPG melalui desain dan implementasi sistem filter analog dan digital. Sistem terdiri dari sensor pulse dan Arduino Uno untuk akuisisi data, diikuti oleh rangkaian filter analog dan filter digital. Variasi nilai resistor gain dan kapasitor pada low pass filter rangkaian analog dianalisis untuk mendapatkan kinerja hasil terbaik. Hasil pengujian menunjukkan bahwa kombinasi filter analog dan digital berhasil meningkatkan Signal-to-Noise Ratio (SNR) dari 4.61 dB menjadi 19.57 dB. Denyut jantung dari sinyal yang telah dioptimasi mencapai 61.60 BPM yang di validasi dengan peak detection yang mampu mendeteksi peak dengan benar. selain itu, Baseline Wander Index (BWI) sebesar 0.18. Hasil penelitian membuktikan bahwa sistem optimasi menghasilkan sinyal PPG yang bersih dan akurat untuk aplikasi monitoring kesehatan
Sistem pemantauan nutrisi padi semai kering berbasis Internet of Things M Rivaldi Ali Septian; Herlambang Setiadi; Arif Abdul Aziz
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 9, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v9i1.3134

Abstract

Pertanian padi merupakan sektor penting dalam ketahanan pangan di Indonesia. Salah satu tahap krusial dalam budidaya padi adalah persemaian, yang menentukan kualitas bibit sebelum dipindahkan ke lahan utama. Metode semai kering mulai diterapkan karena lebih efisien dalam penggunaan air dan mempermudah proses transplantasi. Namun, metode ini memerlukan pemantauan nutrisi yang lebih akurat karena bibit tidak tergenang air seperti metode konvensional, sehingga rentan terhadap ketidakseimbangan unsur hara. Kegiatan pengabdian masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem pemantauan nutrisi secara real-time berbasis Internet of Things (IoT) pada bibit padi semai kering di Desa Bodeh, Pemalang. Sistem ini menggunakan sensor untuk mengukur parameter penting seperti kelembaban tanah, pH, dan kandungan unsur hara atau nutrisi, yang kemudian dikirimkan ke platform interface berbasis website untuk dipantau melalui perangkat seluler atau komputer. Dengan adanya sistem ini, petani dapat memperoleh informasi secara cepat dan akurat, sehingga dapat mengambil langkah yang tepat dalam pemberian nutrisi untuk memastikan pertumbuhan bibit yang optimal.
Co-Authors Anshori, Isa Arif Abdul Aziz Budi Prasetiyo, Budi Estananto Gamalyn, Irene Maria Hakim, Ade Anggian Herlambang Setiadi Iswahyudi Hidayat Johan, Tengku Abdurrazak Korina, Nanda Putri MOHAMAD RAMDHANI Pertiwi, Dwika Ananda Agustina Suksmandhira Harimurti Umar, Fadhil Wahmisari Priharti