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All Journal Faktor Exacta International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Ilmiah Edunomika (JIE) Budimas : Jurnal Pengabdian Masyarakat Jurnal Bumigora Information Technology (BITe) International Journal of Computer and Information System (IJCIS) Penamas: Journal of Community Service Journal Of Information System And Artificial Intelligence
Efendi, Tino Feri
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Social Sciences Other

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Perbandingan Kinerja Algoritma Random Forest, AdaBoost, dan Gradient Boosting dalam Memprediksi Risiko Penyakit Hipertensi Muftisany, Hafidz; Efendi, Tino Feri; Rozaq Rais, Nendy Akbar
Faktor Exacta Vol 18, No 2 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i2.28959

Abstract

Hypertension disease risk prediction is one of the challenges in the health field that can be supported by the development of machine learning models. Hypertension is a chronic condition that can lead to various serious complications, such as heart disease and stroke, so early detection is very important. However, conventional methods of diagnosing hypertension often require extensive medical examinations and are not always accessible to all individuals. Therefore, the development of artificial intelligence-based predictive models can be a more efficient solution in supporting the early detection of hypertension.This study aims to compare the performance of three popular machine learning algorithms, namely Random Forest, AdaBoost, and Gradient Boosting, in predicting hypertension risk. The most effective algorithm will be used in future research for program development. The dataset used consists of relevant medical and demographic data, such as blood pressure, body mass index, age, gender, and family history of hypertension. The model is built using a supervised learning approach, where the data is labeled based on the patient's hypertension condition. Evaluation was conducted using accuracy, precision, recall, and F1-score metrics to assess the performance of each algorithm.The methods used in this research include data preprocessing, feature selection, model training, and model performance evaluation. In addition, this research also designs an artificial intelligence-based hypertension prediction application that is expected to provide recommendations to users based on the model's prediction results.The results of this research are expected to provide insight into the most effective machine learning algorithms in hypertension risk prediction, considering the trade-off between accuracy and computational efficiency. Hypothesized based on previous research, Random Forest algorithm is better than the other two algorithms.
OPTIMIZING DATABASE MANAGEMENT FOR INDIVIDUALS WITH DISABILITIES: A MANAGEMENT INFORMATION SYSTEM FRAMEWORK UTILIZING CODEIGNITER IN SUKOHARJO REGENCY Efendi, Tino Feri; Muliasari, Dewi
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 7 No 4 (2023): IJEBAR, Vol. 7 Issue 4, December 2023
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v7i4.11829

Abstract

This research aims to optimize database management for individuals with disabilities in Sukoharjo Regency, by utilizing a Management Information System (SIM) that uses the CodeIgniter framework. The case study was conducted at the SEHATI Disabled Community, involving 50 community members with various types of disabilities. An evaluation of member needs and expectations revealed a desire for better accessibility, efficient recording of activities, and better management of health information. The implemented system includes member registration, activity management, medical records, and responsive interface design to achieve universal accessibility. Testing and performance evaluations show increased efficiency and user satisfaction. Conclusions and recommendations involve continued training, feature improvements based on feedback, and further implementation of security policies. Keywords: Database Optimization, Management Information Systems, CodeIgniter, Disability, Universal Accessibility, SEHATI Disabled Association, Sukoharjo Regency.
Penyuluhan bahaya riba di Mushola Al Hidayah Nguter Sukoharjo Sumadi, Sumadi; Efendi, Tino Feri; Tho’in, Muhammad; Utami, Wikan Budi
Penamas: Journal of Community Service Vol. 1 No. 2 (2021): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.886 KB) | DOI: 10.53088/penamas.v1i2.285

Abstract

The purpose of this service is to contribute to increasing the level of understanding of the people to provide knowledge to the community, especially in Islamic economic da'wah. This community service aims to advance understanding of sharia economics, especially regarding the dangers of usury. It is hoped that the results of this training will provide additional new understanding from the surrounding community. This activity uses the lecture method, discussion, simulation practice, and observation. The lecture method is used in the process of delivering training materials. The expected output targets of this activity are: 1) The community can know and understand the sharia economic system. 2) People get a new understanding of the dangers of usury. 3) Furthermore, the community will know and understand how to muamalah, transact in the development of a more Islamic and blessing life
Implementation of the Multi Attribute Utility Theory (MAUT) Method for Selecting the Best Affiliate Marketing Mubarok, Wahib; Efendi, Tino Feri; Rokhmah, Siti
Jurnal Bumigora Information Technology (BITe) Vol. 6 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i1.4088

Abstract

Background: Digital marketing has become crucial for companies to remain relevant and grow. One common marketing strategy used is through collaboration with affiliate marketing. However, many companies still need help selecting the best affiliate marketing, often relying on subjective approaches. Objective: This research aims to develop a Decision Support System (DSS) using the MAUT method to choose the best affiliate marketing in the digital marketing industry. Method: This research method involves applying the MAUT method to identify normalization value variations among affiliate marketing options, resulting in a ranking of affiliate marketers. Result: The results of this research show that Sugiharto, Rifan Jauhari, and Nina Dwi Lestari rank the highest, with respective preference values of 0.8750 and 0.8625. Conclusion: The developed DSS successfully manages affiliate marketing data, providing valuable information for decision-making processes. This study contributes significantly to data management and marketing and has potential applications in various business contexts.
Modeling a Decision Support System for Selection of Natural Stone Suppliers Using the Moora Algorithm Muqorobin, Muqorobin; Efendi, Tino Feri
International Journal of Computer and Information System (IJCIS) Vol 4, No 4 (2023): IJCIS : Vol 4 - Issue 4 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i4.156

Abstract

Abstract—At SMK Negeri 1 Kismantoro, before this system was used, they only used manual methods or subjective, meaning the teacher still chooses students directly. The selection of outstanding students must be thorough used as a reference for the following year to ensure increased academic success. This competition was held Every year SMK Negeri 1 Kismantoro sends a team every year to advance in this competition. System Decision support can be made using several methods, one of which is the Moora method and Gain Ratio. This support system can assist in decision making in student selection achievement for the Kismantoro 1 State Vocational School competition. The operation of the Moore method consists of assigning weights on each criterion. The Increment Ratio method is used to find the criteria used in the Moora method that is, the highest value has 4 of the highest, that is, the card criteria is directly proportional to the gain of (0.44644), practice with a gain of (0.88129), attitude (personality) with a gain of (0.44644), skill with advantage (0.42836). The Moora method can select alternatives and rank them for make recommendations for the best students based on predetermined criteria which are Lutfiyatul Rosida's alternatives (A10) is the student who has the best performance with Yi-Max = 0.165.
SOSIALISASI SISTEM INFORMASI AKUNTANSI YAYASAN DI YAYASAN MITRA HUSADA KARANGANYAR Dewi, Maya Widyana; Efendi, Tino Feri; Muliasari, Dewi; Kusuma, Indra Lila; Purwati, Ika Diah
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 4 No. 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

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Abstract

Sosialisasi Sistem Informasi Akuntansi Yayasan Di Yayasan Mitra Husada Karanganyar bertujuan untuk membantu dan mendukung dalam memberikan informasi dalam perencanaan, pengorganisasian dan operasional keuangan yayasan, serta dalam proses pengendalian pengambilan keputusan yayasan. Kegiatan pengabdian ini dilaksanakan pada tanggal 9 September 2022 yang diikuti oleh Pengurus Yayasan Mitra Husada Karanganyar. Kegiatan pengabdian ini berjalan dengan lancar sesuai dengan perencanaan. Sedangkan metode yang digunakan dalam kegiatan pengabdian ini adalah dengan melakukan sosialisasi dan diskusi yang berkaitan dengan materi Sistem Informasi Akuntansi Yayasan. Hasil dari kegiatan ini adalah para peserta lebih mengetahui tentang penggunaan Sistem Informasi Akuntansi Yayasan guna mencapai kinerja keuangan yang transparent dan akuntabel.
PELATIHAN DAN UJI KOMPETENSI DESAIN GRAFIS DAN WEB DEVELOPMENT UNTUK SKPI INFORMATIKA INSTITUT TEKNOLOGI BISNIS AAS INDONESIA Muqorobin, Muqorobin; Pakarti, Moch Bagoes; Rokhmah, Siti; Efendi, Tino Feri; Rais, Nendy Akbar Rozaq
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 1 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

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Abstract

Peningkatan pesat dalam teknologi informasi memandangkan tantangan baru di dunia desain grafis dan pengembangan web. Pengabdian ini membahas tentang pelatihan dan uji kompetensi sebagai implementasi program pelatihan dan uji kompetensi di Program Studi Informatika Institut Teknologi Bisnis AAS Indonesia dengan fokus pada desain grafis dan web development. Pelatihan mencakup workshop kreativitas, penerapan perangkat lunak desain seperti Corel Draw dan Illustrator, serta dasar-dasar HTML, CSS, dan JavaScript untuk pengembangan web. Proyek kolaboratif diperkenalkan sebagai bagian integral dari pelatihan, yang mengarah pada presentasi hasil pekerjaan. Uji kompetensi melibatkan proyek individu, penilaian desain, dan wawancara teknis untuk menganalisis pemahaman mahasiswa terhadap konsep desain dan implementasi teknis. Melalui pendekatan pelatihan dan uji kompetensi ini, pengabdian ini menyoroti manfaat pelatihan dan uji kompetensi dalam mempersiapkan mahasiswa Program Studi Informatika untuk menghadapi tantangan industri desain grafis dan pengembangan web yang terus berkembang. Hasil akhir dari kegiatan ini adalah peserta mendapatkan kompetensi dari bidang IT serta mendapatkan sertifikat kompetensi sesuai bidang IT sehingga sebagai pendukung dalam dokumen SKPI.
EDUKASI LINGKUNGAN BERSAMA: GERAKAN HIJAU DI SEKITAR KAMPUS ITB AAS INDONESIA Muliasari, Dewi; Efendi, Tino Feri; Suprihati, Suprihati; Budiyono, Budiyono; Sumadi, Sumadi
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 1 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

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Abstract

Kegiatan pengabdian kepada masyarakat dengan judul "Edukasi Lingkungan Bersama: Gerakan Hijau di Sekitar Kampus ITB AAS Indonesia" bertujuan untuk meningkatkan kesadaran dan partisipasi masyarakat, khususnya mahasiswa dan penduduk sekitar kampus, dalam menjaga kelestarian lingkungan. Program ini berfokus pada penyuluhan tentang pentingnya menjaga lingkungan, pelatihan praktik-praktik ramah lingkungan, serta pelaksanaan aksi nyata untuk menciptakan lingkungan yang lebih hijau dan bersih. Kegiatan ini mencakup serangkaian aktivitas seperti seminar dan workshop tentang pengelolaan sampah, penanaman pohon di area kampus dan sekitarnya, serta kampanye pengurangan penggunaan plastik. Selain itu, program ini juga melibatkan mahasiswa dalam proyek penelitian sederhana terkait dampak lingkungan dan pemanfaatan sumber daya alam secara berkelanjutan. Melalui "Gerakan Hijau di Sekitar Kampus ITB AAS Indonesia," diharapkan terbentuk komunitas yang lebih peduli lingkungan, serta tercipta budaya ramah lingkungan yang dapat diterapkan secara berkelanjutan. Dampak jangka panjang dari kegiatan ini adalah peningkatan kualitas lingkungan hidup di sekitar kampus dan pembentukan karakter mahasiswa yang lebih bertanggung jawab terhadap lingkungan
PELATIHAN PEMANFAATAN AI UNTUK PEMBELAJARAN DAN ASSESSMEN DI SEKOLAH: STUDI KASUS DI SMA NEGERI 1 SUKOHARJO Muqorobin, Muqorobin; Rokhmah, Siti; Efendi, Tino Feri; Rozaq Rais, Nendy Akbar
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 2 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i2.17746

Abstract

Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah membuka peluang baru dalam transformasi pendidikan, khususnya dalam proses pembelajaran dan asesmen berbasis digital. Sayangnya, pemanfaatan teknologi ini di lingkungan sekolah menengah masih tergolong rendah akibat keterbatasan pengetahuan dan keterampilan guru. Artikel ini mendeskripsikan kegiatan pelatihan pemanfaatan AI bagi guru-guru di SMA Negeri 1 Sukoharjo yang diselenggarakan pada 16 Juni 2025 dan diikuti oleh 30 peserta dari berbagai bidang studi. Tujuan utama kegiatan ini adalah untuk meningkatkan literasi dan kompetensi guru dalam mengintegrasikan AI ke dalam perencanaan, pelaksanaan, serta evaluasi pembelajaran. Metode pelaksanaan kegiatan meliputi ceramah interaktif, demonstrasi alat, praktik langsung, serta diskusi reflektif. Kegiatan ini difokuskan pada pemanfaatan platform AI generatif dan asesmen otomatis yang relevan dengan kebutuhan pengajaran di sekolah. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman dan kemampuan guru dalam menerapkan teknologi AI, serta munculnya inisiatif untuk mengembangkan strategi pembelajaran yang lebih inovatif dan adaptif. Implikasi dari kegiatan ini tidak hanya terletak pada peningkatan keterampilan digital guru, tetapi juga berkontribusi terhadap akselerasi digitalisasi pendidikan secara lebih luas. Pelatihan ini merekomendasikan adanya program keberlanjutan dan kebijakan pendukung dari institusi pendidikan agar pemanfaatan AI tidak berhenti pada tingkat pelatihan semata, tetapi dapat diintegrasikan secara sistemik dan berkelanjutan ke dalam kurikulum sekolah..
PENGARUH PENGGUNAAN TEKNOLOGI PEMBELAJARAN INTERAKTIF TERHADAP PENINGKATAN KEMAMPUAN BAHASA INGGRIS MAHASISWA PRODI INFORMATIKA DI ITB AAS INDONESIA Muliasari, Dewi; Efendi, Tino Feri
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.14670

Abstract

This research investigates the impact of interactive learning technology on the English language proficiency of Informatics students at ITB AAS Indonesia. A quasi-experimental design was employed, involving an experimental group that utilized interactive learning technology and a control group that received conventional instruction. The findings reveal a significant improvement in the English language skills of the experimental group, highlighting the effectiveness of interactive technology in enhancing listening, speaking, reading, and writing abilities. Additionally, the study demonstrates that interactive learning tools positively influence students' motivation and engagement, aligning with theories such as the Cognitive Theory of Multimedia Learning (CTML), Self-Determination Theory (SDT), and Cognitive Load Theory (CLT). The research underscores the potential of integrating interactive technology into non-language focused programs, providing practical insights for educators and institutions seeking to innovate English language instruction in higher education. Keywords : Interactive learning technology, English language proficiency, Informatics students, CTML, Self-Determination Theory (SDT), Cognitive Load Theory (CLT), higher education
Co-Authors Akkapin, Supaphorn Budiyono Budiyono Dewi Muliasari Indra Lila Kusuma, Indra Lila Maya Widyana Dewi mubarok, wahib Muftisany, Hafidz Muliasari, Dewi Muqorobin, Muqorobin Pakarti, Moch Bagoes Purwati, Ika Diah Rais, Nendy Akbar Rozaq Rozaq Rais, Nendy Akbar Saputra, Aditya Aji Setiawan, Ferry Illham Siti Rokhmah SUMADI SUMADI Suprihati - Tho’in, Muhammad Wikan Budi Utami