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All Journal INTECOMS: Journal of Information Technology and Computer Science JURNAL TEKNOLOGI DAN OPEN SOURCE Journal of Robotics and Control (JRC) Jurnal Ilmu Komputer Journal of Applied Data Sciences Jurnal Sains Teknologi dan Sistem Informasi Jurnal Ipteks Terapan : research of applied science and education Journal of Telecommunication Control and Intelligent System Pengabdian Jurnal Abdimas
Fonda, Hendry
Program Studi Sistem Informasi STMIK Hang Tuah Pekanbaru
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Inovasi Teknologi Dalam Pendidikan Dengan Penerapan Aplikasi Fuzzy Logic Untuk Identifikasi Belajar Di Sekolah Menengah Kejuruan Melyanti, Rika; Yulanda, Yulanda; Fonda, Hendry; Muhardi, Muhardi
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.14569

Abstract

Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan aplikasi berbasis fuzzy logic untuk mengidentifikasi gaya belajar siswa di SMK Perbankan Riau. Ruang lingkup penelitian mencakup analisis gaya belajar siswa dan penerapan teknologi fuzzy logic dalam proses identifikasi tersebut. Metode yang digunakan meliputi pengembangan aplikasi menggunakan algoritma fuzzy logic dan uji coba pada sampel siswa di SMK Perbankan Riau. Hasil penelitian menunjukkan bahwa aplikasi ini mampu mengidentifikasi gaya belajar siswa dengan tingkat akurasi yang tinggi. Selain itu, aplikasi ini juga membantu guru dalam menyesuaikan metode pengajaran sesuai dengan gaya belajar siswa yang teridentifikasi. Penerapan teknologi ini menunjukkan peningkatan dalam keterlibatan siswa dan pemahaman materi pembelajaran. Simpulan dari penelitian ini menyatakan bahwa penggunaan fuzzy logic dalam identifikasi gaya belajar merupakan inovasi yang efektif dan efisien. Implikasi dari hasil riset ini memberikan kontribusi signifikan bagi pengembangan ilmu pengetahuan di bidang pendidikan, khususnya dalam penerapan teknologi informasi untuk meningkatkan kualitas proses pembelajaran. Penggunaan aplikasi ini juga diharapkan dapat diaplikasikan pada tingkat pendidikan lainnya di masa depan.
The Relationship Between Age, Parity, Ideal Weight, and Blood Pressure in Diagnosing Hypertension in Pregnant Women Using The K-Means Algorithm Hendry Fonda; Uci Rahmalisa
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 2 (2023): Jurnal Teknologi dan Open Source, December 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i2.3157

Abstract

Hypertension is one of the health problems that often arise during pregnancy and can cause complications in 2-3% of pregnancies. Hypertension In Pregnancy (HDK) is defined as a blood pressure of ≥140/90 mmHg in two or more measurements. Data mining is a combination of a number of computer science disciplines that is defined as the process of discovering new patterns from very large data sets. By looking at records on Age, IMT, Parity / Gravidity, and Blood Pressure and analysis with K-Means clustering, it can be seen that the similarity of values of the above variables ultimately forms patterns related to hypertension in pregnant women. The clustering process using 5 clusters according to the elbow chart analysis. In this study, it was seen that the variable Blood Pressure is the same pattern and often appears in each cluster. While hypertension occurs in 1 cluster out of 5 existing clusters.
ANALISIS KINERJA MENGGUNAKAN METODE BALANCE SCORECARD DAN NEURO FUZZY (STUDI KASUS PADA STIKES HANG TUAH PEKANBARU) Fonda, Hendry
Jurnal Ilmu Komputer Vol 3 No 1 (2014): Jurnal Ilmu Komputer
Publisher : STMIK Hang Tuah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33060/JIK/2014/Vol3.Iss1.20

Abstract

Kinerja suatu organisasi adalah salah satu tolak ukur keberhasil ataupun kegagalan dari organisasi tersebut dalam menjalankan fungsi-fungsi organisasinya. Balanced scorecard adalah salah satu cara untuk mengukur kinerja. Pada balanced scorecard kinerja diukur dari empat (4) perspektif yaitu perspektif keuangan, pelanggan, proses bisnis internal dan pertumbuhan pembelajaran. Jika pada balanced scorecard kriteria diukur dengan mencari rata-rata skor maka salah satu cara untuk mencari nilai skor bisa digunakan neuro fuzzy dalam hal ini ANFIS.Pada ANFIS nilai skor didapat dari hasil training yang dilakukan untuk mendapatkan rule yang sehingga didapat skor dari kinerja. Pada evaluasi kinerja di STIKes Hang Tuah Pekanbaru didapat perbedaan hasil dengan menggunakan perhitungan balanced scorecard dan ANFIS. Selesih output pada balance scorecard dan ANFIS pada perspektif keuangan sebesar 0,33, pada perspektif pelanggan 0,15 – 0,43, pada proses bisnis internal 0,5 dan pada pertumbuhan dan pembelajaran sebesar 0,5. Walaupun terjadi perbedaan pada output hal ini tidak menyebabkan kriteria pada masing-masing perspektif berbeda antara balanced scorecard dan ANFIS. Pada balanced scorecard dan ANFIS hasil perhitungan menunjukkan bahwa perspektif keuangan mempunyai kriteria cukup, perspektif pelanggan kriterianya cukup, perspektif proses bisnis internal kriteria cukup dan perspektif pertumbuhan dan pembelajaran kriteria cukup.
Enhancing Educational Practices through Simple Online Learning Applications for Vocational Teachers at Abdurrab Pekanbaru Melyanti, Rika; Yulanda, Yulanda; Fonda, Hendry
Pengabdian: Jurnal Abdimas Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i2.1388

Abstract

ABSTRACTBackground. The rapid advancement of technology in education necessitates the adoption of digital tools to facilitate effective teaching and learning processes. Purpose. The primary objective of this community service activity is to empower vocational teachers with an easy-to-use online learning platform that enhances their instructional methods and improves student engagement.Method. The application was developed using user-centered design principles to ensure it meets the specific needs of the teachers. Training sessions were conducted to familiarize the teachers with the application, followed by a pilot phase to gather feedback and make necessary adjustments. Results. The implementation of the online learning application resulted in increased teacher satisfaction, improved student participation, and a more interactive learning environment. Conclusion. The project demonstrates that simple, user-friendly digital tools can significantly enhance educational practices in vocational schools. Future community service activities should explore the long-term impacts of such applications on teaching efficacy and student outcomes.
The Relationship Between Age, Parity, Ideal Weight, and Blood Pressure in Diagnosing Hypertension in Pregnant Women Using The K-Means Algorithm Fonda, Hendry; Rahmalisa, Uci
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 2 (2023): Jurnal Teknologi dan Open Source, December 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i2.3157

Abstract

Hypertension is one of the health problems that often arise during pregnancy and can cause complications in 2-3% of pregnancies. Hypertension In Pregnancy (HDK) is defined as a blood pressure of ≥140/90 mmHg in two or more measurements. Data mining is a combination of a number of computer science disciplines that is defined as the process of discovering new patterns from very large data sets. By looking at records on Age, IMT, Parity / Gravidity, and Blood Pressure and analysis with K-Means clustering, it can be seen that the similarity of values of the above variables ultimately forms patterns related to hypertension in pregnant women. The clustering process using 5 clusters according to the elbow chart analysis. In this study, it was seen that the variable Blood Pressure is the same pattern and often appears in each cluster. While hypertension occurs in 1 cluster out of 5 existing clusters.
Utilization of IndoBERT Representation and Random Forest for Sentiment Analysis on User Reviews of Halodoc Pharmacy Services in Google Play Hendry Fonda; Herianto; Yuda Irawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4822

Abstract

With the growing use of digital healthcare platforms such as Halodoc, maintaining consistent service quality that meets user expectations is essential. User reviews on platforms like Google Play provide valuable insights into user perceptions. This study aims to classify user sentiments toward Halodoc’s pharmacy services based on reviews obtained through web scraping from the Google Play Store. The analysis employs the pre-trained IndoBERT model to extract textual features, followed by sentiment classification using the Random Forest algorithm. This combination was selected for its efficiency with limited hardware resources and small dataset size. To enhance data diversity and minimize overfitting, simple augmentation methods such as random word deletion and synonym substitution were implemented. The expected outcomes include an effective sentiment classification model and visualizations of sentiment distributions (positive, negative, neutral). Furthermore, the study contributes to the development of sentiment analysis techniques for Indonesian-language data through an efficient and contextually relevant approach. The research outputs target publication in a nationally accredited (Sinta 4) journal and Intellectual Property Rights (IPR) registration. Ultimately, this study is expected to support the improvement of technology-based pharmacy services through the strategic application of machine learning.
Co-Authors Agus Gunawan Ambiyar, Ambiyar Andri Fadhillah Andriana Kiki Yolanda Anita Febriani Anita Febriani Budi Mustika Budy Mustika Dedy Irfan Dedy Yasriady Hasti Rizki Herianto Ismail Wiyono M Iqbal Diwara Melyanti, Rika Muhaimin, Abdi Muhardi Muhardi Naziful Iman Rahmalisa, Uci Refni Wahyuni Rian Ordila Rizer Fahlevi Sabna, Eka Wahyu Linda Wati Yuda Irawan Yudie, Muhardi Yulanda, Yulanda