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All Journal Jurnal Teknologi Informatika dan Komputer Jurnal Masyarakat Madani Indonesia Horizon: Indonesian Journal of Multidisciplinary
Mohamad Khoirul Ansor
Universitas Bhinneka PGRI
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Rancang Bangun Sistem IoT untuk Monitoring Ketinggian Air Sungai Menggunakan NodeMCU dan Sensor Ultrasonik HC-SR04 Terintegrasi Website Darel Trescanaya; Yayak Kartika Sari; Mohamad Khoirul Ansor
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5834

Abstract

This study aims to design and build an Internet of Things (IoT)-based river water level monitoring system using NodeMCU ESP8266 and HC-SR04 ultrasonic sensor integrated with a website in Semarum Village, Durenan District, Trenggalek Regency. The system was developed using the Rapid Application Development (RAD) method with the Laravel framework and MySQL database. Data collection techniques include observation, interviews, literature studies, experiments, and documentation. Data analysis was carried out through functional testing of the system using Black Box Testing, sensor accuracy analysis using Mean Absolute Percentage Error (MAPE), and analysis of WhatsApp notification response time. The results showed that the system was able to read the water level automatically every minute, display data in real-time via the website, and send WhatsApp notifications automatically when alert or danger status. The results of Black Box Testing showed that all system features functioned well. Accuracy testing produced a MAPE value of 1.027% with an average accuracy rate of 98.97%, while WhatsApp notification testing showed a 100% success rate with an average delay of around 50 seconds. This system is equipped with three water condition indicators (SAFE, ALERT, and DANGER) as well as multi-user management features which are an added value compared to previous research.
Analisis Usability dan User Experience Sistem Informasi Primary Care BPJS Kesehatan di Puskesmas Karanganyar Menggunakan Metode System Usability Scale (SUS) dan User Experience Questionnaire (UEQ) Malfiana Rizqina Luthfillah Sya’bana; Fahrur Rozi; Mohamad Khoirul Ansor
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/gzqch503

Abstract

Penelitian ini bertujuan menganalisis tingkat usability dan user experience Sistem Informasi Primary Care (P-Care) BPJS Kesehatan di Puskesmas Karanganyar, Kecamatan Gandusari, Kabupaten Trenggalek. P-Care adalah aplikasi berbasis web yang wajib digunakan seluruh fasilitas kesehatan tingkat pertama (FKTP) dalam mengelola pelayanan peserta Jaminan Kesehatan Nasional (JKN). Penelitian menggunakan pendekatan kuantitatif deskriptif dengan dua instrumen standar: System Usability Scale (SUS) untuk mengukur usability dan User Experience Questionnaire (UEQ) untuk mengukur user experience pada enam dimensi. Teknik total sampling diterapkan dengan melibatkan seluruh 33 pengguna aktif yang terdiri dari petugas administrasi, perawat, bidan, dan tenaga medis. Hasil SUS menunjukkan skor rata-rata 64,39 (kategori OK/Acceptable). Hasil UEQ menunjukkan seluruh enam dimensi berada pada kategori Baik: Attractiveness (1,37), Perspicuity (1,37), Novelty (1,34), Dependability (1,33), Efficiency (1,29), dan Stimulation (1,27). Penelitian merekomendasikan penyederhanaan navigasi, optimasi server, fitur auto-save, perpanjangan sesi aktif, serta pembaruan desain antarmuka.
Peningkatan Kompetensi Profesional Guru melalui Pelatihan Prompting Generative AI di SMP Tahfidz Modern Lubabul Fattah Mohamad Khoirul Ansor; Yayak Kartika Sari; Mochammad Ilham Aldi Wahyudi
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 3 (2026): Agustus (In Progress)
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/x1t9xh81

Abstract

Kemajuan teknologi Artificial Intelligence (AI), khususnya generative AI, membuka peluang besar dalam meningkatkan kualitas pembelajaran dan efisiensi administrasi pendidikan. Namun, pemanfaatan teknologi ini di lingkungan sekolah berbasis pesantren masih sangat terbatas. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kompetensi profesional guru SMP Tahfidz Modern Lubabul Fattah melalui pelatihan teknik prompting generative AI. Metode yang digunakan adalah Action-Oriented Reflective Training yang menggabungkan penyampaian konsep, praktik langsung, dan pendampingan implementasi. Sebanyak 27 dari 31 guru mengikuti pelatihan satu hari penuh pada Agustus 2025, dilanjutkan dengan tiga sesi pendampingan. Evaluasi dilakukan melalui instrumen pre-test dan post-test serta kuesioner kepuasan peserta. Hasil menunjukkan peningkatan pada seluruh aspek kompetensi, dengan skor rata-rata pre-test berkisar 2,0–3,2 meningkat menjadi 3,1–3,9 pada post-test. Sebesar 81% peserta menyatakan pelatihan sangat bermanfaat, dan 67% berminat mengikuti pelatihan lanjutan. Program ini memberikan kontribusi nyata dalam mendorong transformasi digital sekolah berbasis pesantren.
Multi-Sentence Contextual Modeling using Transformer Architecture for Arithmetic Operation Identification in Mathematical Word Problems Cikal Dwidyanto; Agung Prasetya; Mohamad Khoirul Ansor
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3431

Abstract

Mathematical word problems in Indonesian are generally presented as multi-sentence paragraphs, making the identification of arithmetic operations not solely dependent on recognizing numerical values, but also requiring an understanding of events and semantic relationships across sentences. This study formulates the task of arithmetic operation identification as a classification problem of a single primary operation into four classes: addition, subtraction, multiplication, and division. To capture contextual relationships across sentences, an encoder-based Transformer architecture is employed, which is capable of modeling long-range dependencies through a self-attention mechanism. The dataset consists of 900 elementary school-level mathematical word problems constructed in accordance with the Indonesian curriculum. Experimental results show that the model achieves an accuracy of 0.98 and an F1-score of 0.98. Per-class evaluation indicates high and consistent performance, although prediction errors are still observed in cases with ambiguous narrative patterns, particularly where addition is misclassified as multiplication or subtraction, and multiplication is misclassified as division. These findings demonstrate that the Transformer architecture is effective in leveraging multi-sentence context to improve the accuracy of arithmetic operation identification in mathematical word problems.
Design and Construction of a Website-Based Village Service System with Chatbot Integration Using the Extreme Programming Method (Case Study: Wonorejo Village, Sumbergempol) Dea Preciosa Santyana Putri; Mohamad Khoirul Ansor; Joko Iskandar
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3440

Abstract

Public services at the village level are the spearhead of government services closest to the community. However, most villages in Indonesia still rely on manual systems for administrative management, including the process of submitting certificates, recording citizen data, and delivering information. Administrative services in Wonorejo Village, Sumbergempol District, are still carried out manually, causing various obstacles, such as inefficiency, long queues, service delays, and limited access to information for residents. This study aims to design and build a website-based village service system integrated with a chatbot to improve the effectiveness and efficiency of administrative services. The system was developed using the Extreme Programming (XP) method through two development iterations, utilizing the PHP-based Laravel framework, MySQL as the database, and Dialogflow as the Natural Language Processing (NLP) platform for the chatbot. The system's main features include online letter submission, application status monitoring, village information management, and an interactive chatbot. Functional testing was conducted using the black box testing method, while user acceptance was measured through a User Acceptance Test (UAT) using an ISO 25010-based instrument involving 12 respondents. The UAT results showed a satisfaction percentage of 95%, included in the very good category. The developed system has proven capable of supporting the digital transformation of public services at the village level.
Co-Authors Agung Prasetya Cikal Dwidyanto Darel Trescanaya Dea Preciosa Santyana Putri Fahrur Rozi Iskandar, Joko Malfiana Rizqina Luthfillah Sya’bana Mochammad Ilham Aldi Wahyudi Sari, Yayak Kartika