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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Pengabdian Masyarakat Bangsa
Yasman Rianto
Gunadarma University
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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PENGONTROL RUANGAN MENGGUNAKAN MIKROKONTROLER NodeMCU DENGAN APLIKASI TELEGRAM Rianto, Yasman
Jurnal Ilmiah Teknologi dan Rekayasa Vol 26, No 3 (2021)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2021.v26i3.4900

Abstract

Lampu, kipas, TV, kulkas dan peralatan elektronik lainnya merupakan peralatan rumah tangga yang memanfaatkan energy listrik dalam penggunaannya. Sistem kontrol kendali peralatan rumah tangga yang masih manual dalam pengoperasiannya menyebabkan permasalahan saat akan menghidupkan dan mematikannya. Dibutuhkan suatu pengendali untuk mengatur itu semua tanpa harus berada dilokasi untuk menyalaknnya. Kemajuan dunia teknologi membuat jarak yang jauh menjadi dekat, membuat yang tidak tampak menjadi mudah dikendalikan. Permasalahan itu mengakitbatkan dibuatnya suatu alat pengendali pengontrol pengendali ruangan untuk menyalakan lampu dan kipas DC dengan menggunakan mikrokontroler NodeMCU. Lampu dan kipas DC dikendalikan dengan menggunakan aplikasi telegram yang terdapat pada smartphone dengan bantuan wifi. Perintah dari telegram akan diteruskan wifi ke NodeMCU untuk selanjutnya diteruskan ke bagian relay untuk menyalakan lampu dan kipas DC. Motor servo akan bergerak untuk membuka pintu jika berhasil menyalakan keduanya. Pengontrol ruangan ini berhasil diuji coba dan dapat menghidupkan lampu serta kipas DC dalam suatu ruangan. Modul relay akan berada dalam kondisi 5° untuk kondisi pintu terbuka dan 90° untuk kondisi pintu tertutup.
Application of Naive Bayes Algorithm to Analysis of Free Fatty Acid (FFA) Production Based on Fruit Freshness Level Wahyu Supriyatin; Yasman Rianto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6293

Abstract

Cooking oil is a basic need for everyone who is used to process food ingredients. The use of cooking oil repeatedly and continuously by heating at high temperatures can increase the free fatty acid levels in the oil. The more the oil is reused, the higher the free fatty acid content. Testing the levels of FFA in oil can be done using the FFA test, because FFA can affect the selling price of CPO when it is marketed. In addition, FFA affects the levels of free fatty acids of CPO. This study aims to determine the analysis of FFA production in palm oil products based on the level of freshness of the fruit. The research was conducted by classifying data mining using the Naïve Bayes Algorithm. The Naïve Bayes algorithm was used to determine whether FFA production had an effect on fruit freshness, fruit quality and fruit soiling. The research was conducted using RapidMiner Studio 9.10 tools. The results of the research from the distribution table show that the value of the FFA attribute obtained 2 conditions, namely super conditions and normal conditions. Where each of these attributes is influenced by the variables of fruit freshness and fruit quality. Probability accuracy results from 60 training data and 40 testing data used are 92.50% for super FFA conditions.
Application of Naive Bayes Algorithm to Analysis of Free Fatty Acid (FFA) Production Based on Fruit Freshness Level Wahyu Supriyatin; Yasman Rianto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6293

Abstract

Cooking oil is a basic need for everyone who is used to process food ingredients. The use of cooking oil repeatedly and continuously by heating at high temperatures can increase the free fatty acid levels in the oil. The more the oil is reused, the higher the free fatty acid content. Testing the levels of FFA in oil can be done using the FFA test, because FFA can affect the selling price of CPO when it is marketed. In addition, FFA affects the levels of free fatty acids of CPO. This study aims to determine the analysis of FFA production in palm oil products based on the level of freshness of the fruit. The research was conducted by classifying data mining using the Naïve Bayes Algorithm. The Naïve Bayes algorithm was used to determine whether FFA production had an effect on fruit freshness, fruit quality and fruit soiling. The research was conducted using RapidMiner Studio 9.10 tools. The results of the research from the distribution table show that the value of the FFA attribute obtained 2 conditions, namely super conditions and normal conditions. Where each of these attributes is influenced by the variables of fruit freshness and fruit quality. Probability accuracy results from 60 training data and 40 testing data used are 92.50% for super FFA conditions.
Analysis the Level of Experience of Technology Users’ Perspectives on LinkedIn Websites Ibrahim, Aghi Kalam; Supriyatin, Wahyu; Rianto, Yasman
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 2 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i2.9998

Abstract

LinkedIn is a web-based application that can be used by job seekers, both new users and professional users. LinkedIn website is not only used by job seekers but can be used for various other activities. Application user experience is a major assessment of the quality of the software. LinkedIn website user experience can be seen by measuring the website using several aspects. This research aims to analyze the website user experience using the User Experience Questionnaire (UEQ) method. Measurement using the UEQ method is seen by using six aspects of the measurement scale, namely attractiveness, clarity, efficiency, accuracy, stimulation and novelty. Data collection in the study was carried out using a questionnaire given to 41 respondents totaling 26 questions. The questionnaire data will be processed using UEQ Data Analysis Tools. The results of UEQ measurements with benchmark comparisons show four aspects that are in the below average category, namely attractiveness, efficiency, stimulation and novelty. While two aspects are in the bad category, namely clarity and accuracy. So it is necessary to develop and improve the LinkedIn website by developers related to aspects that are in the bad category. The two bad aspects have a value of 0.58 for the clarity aspect and 0.53 for the accuracy aspect.
Comparative Analysis Accuracy ID3 Algorithm and C4.5 Algorithm in Selection of Candidates Basic Physics Laboratory Assistant Supriyatin, Wahyu; Rianto, Yasman
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.9198

Abstract

Basic Physics Laboratory is one of the supporting laboratories at Gunadarma University. Each practical activity in the laboratory is supervised by respective assistants. Therefore, a support system is needed as a basis for decision-making in determining assistant candidates. This decision-making process is processed using data mining techniques, specifically classification algorithms. The criteria or attributes used in the decision-making process include written test scores, practical test scores, presentation scores, equipment usage abilities, and interviews. The classification algorithms used in this research are ID3 and C4.5 algorithms. The tools used to implement these algorithms are RapidMiner Studio 9.10. These algorithms will generate decision trees that can be used as decision support. The aim of this research is to conduct an accuracy comparison analysis for the ID3 and C4.5 algorithms. The highest accuracy obtained will be used as a reference for determining whether assistant candidates are accepted or not. The accuracy results show that the C4.5 algorithm has the highest accuracy, precision, and recall compared to the ID3 algorithm. The determination of the highest value is done using the k-fold cross-validation model for values 2, 4, 6, 8, and 10. The C4.5 algorithm has the highest accuracy of 96.67% at k-fold value = 2.
Implementasi Routing Protokol Menggunakan Packet Tracer untuk Meningkatkan Keterampilan Jaringan Komputer di Kalangan Siswa-Siswi SMA Yadika 13 Tambun Pertiwi, Atit; Hafidzah, Hafidzah; Wijayanti, Mariza; Prayitno, Ragiel Hadi; Kristianti, Veronica Ernita; Rianto, Yasman
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 11 (2025): Januari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i11.1988

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan di SMA Yadika 13 Tambun untuk meningkatkan pemahaman dan keterampilan siswa dalam implementasi routing protokol menggunakan Cisco Packet Tracer. Pelatihan difokuskan pada prinsip dasar routing protokol, seperti OSPF, melalui pendekatan partisipatif dan pembelajaran interaktif. Peserta dilibatkan dalam diskusi, praktik langsung, serta pemecahan masalah dengan menggunakan topologi jaringan yang dirancang khusus. Evaluasi dilakukan berdasarkan hasil praktik simulasi dan diskusi kelompok. Hasil kegiatan menunjukkan bahwa peserta berhasil mengonfigurasi perangkat jaringan, menerapkan routing protokol OSPF, dan menyelesaikan masalah dalam simulasi secara efektif. Metode pembelajaran yang digunakan, seperti praktik langsung dan diskusi kelompok, terbukti meningkatkan pemahaman dan keterampilan siswa, serta menumbuhkan minat terhadap teknologi informasi. Kegiatan ini memberikan dampak positif dalam pengembangan kompetensi siswa di bidang jaringan komputer, yang sangat relevan untuk menghadapi tantangan era digital.
Co-Authors Atit Pertiwi Hafidzah, Hafidzah Ibrahim, Aghi Kalam Kristianti, Veronica Ernita Mariza Wijayanti Prayitno, Ragiel Hadi Wahyu Supriyatin