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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JELLT (Journal of English Language and Language Teaching) IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi EQIEN - JURNAL EKONOMI DAN BISNIS Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Indonesian Journal of Applied Informatics Jurnal Ilmiah Sinus JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Kepada Masyarakat (Mediteg) Buletin Ilmiah Sarjana Teknik Elektro JIKA (Jurnal Informatika) Joong-Ki : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat Joong-Ki Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Nusantara Mengabdi kepada Negeri Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Joong-Ki Jurnal TAM (Technology Acceptance Model)
Arif Setia Sandi A.
Universitas Harapan Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Sistem Informasi Penjualan dan Pemesanan Online Berbasis Web pada Apotek Dua Farma Nurrizki, Kiki Alfaini; Sumantri, Raden Bagus Bambang; Sandi A , Arif Setia
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp164-173

Abstract

Indonesian society increasingly relies on information technology in various aspects of life, including business and healthcare services. Pharmacies, as vital entities in healthcare, require information systems to manage data effectively. However, the Indonesian Ministry of Health states that more than 80% of healthcare facilities in Indonesia have not yet adopted digital technology, including Apotek Dua Farma, which manages 700 types of medicines and 100 manual transactions daily. This research aims to develop an online-sales and ordering information system based on a website using the Laravel framework at Apotek Dua Farma to address the difficulties in recording products and sales processes. The method used is Rapid Application Development (RAD), a fast and iterative linear sequential software development model. The research results indicate that the web-based information system developed has four types of users: admin, owner, pharmacist, and customer. This system successfully implements features such as product management, cashier system, online order processing, transaction tracking, reporting, and successfully applies the QRIS payment method. Blackbox testing shows that all features function well and meet the operational needs of Apotek Dua Farma, thereby improving the efficiency and accuracy of product recording and sales.
Klasifikasi Berisiko Stunting pada Balita: Perbandingan K-Nearest Neighbor, Naïve Bayes, Support Vector Machine Ramadya Wahyu Dwinanto; Arif Setia Sandi A; Rian Ardianto
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp264-273

Abstract

Stunting in children under five is a significant health problem that impacts child development. This study aims to develop a classification model to predict stunting risk using SVM, KNN, and Naïve Bayes algorithms. Data from the Jatilawang Health Center included 523 under-fives with variables such as age, weight, length, arm circumference, z-score, parental education, and maternal health history. Following the CRISP-DM steps, the data was processed through handling missing data, feature selection, and dividing the data into training and testing sets with a ratio of 80:20. Results showed SVM had the highest accuracy of 90%, followed by KNN 89%, and Naïve Bayes 85%. This research produces a stunting risk prediction model that is implemented in a simple website, supporting early intervention and decision-making in stunting prevention efforts.
Perancangan Aplikasi Mobile Berbasis Flutter untuk Pemantauan Data Sensor IoT: Solusi bagi Manajemen Suhu dan Kelembapan Arif Setia Sandi Ariyanto; Iis Setiawan Mangku Negara; Deny Nugroho Triwibowo; Yanuar Feriyanto
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7724

Abstract

This study developed a mobile application based on Flutter to monitor Internet of Things (IoT) sensor data for real-time measurement of temperature and humidity. The system utilizes a DHT22 sensor connected to an ESP32 microcontroller, transmitting data via the MQTT protocol. The data is stored in a MySQL database hosted on a designated server. The mobile application offers an interactive interface to display real-time data, historical graphs, and automatic notifications when environmental parameters exceed predefined thresholds. Testing was conducted using the User Acceptance Testing (UAT) method involving 20 respondents. The results indicate a high level of application success, with an average user satisfaction rate of 93% for ease of login, 90% for the interface, 90% for data processing speed, and 93% for notification accuracy. By integrating IoT, Flutter, and MySQL technologies, this application provides an efficient digital solution for environmental management, with potential for development across various industrial sectors requiring such capabilities.
Pendampingan Penggunaan Aplikasi Pengolah Skor Pada Perlombaan Panahan Kaajendam IV/Dip Cup 2023 Anggit Wirasto; Deny Nugroho Triwibowo; Arif Setia Sandi; Raden Bagus Bambang Sumantri
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 2 No. 3: Juni-September 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v2i3.1769

Abstract

Perlombaan panahan marak digelar di berbagai wilayah di Indonesia dengan tujuan mencari bibit-bibit atlet yang diharapkan mampu membawa nama baik Indonesia di tingkat internasional. Salah satu hal penting dalam penyelenggaraan lomba panahan adalah sistem pencatatan skor setiap atlet. Petugas pengolah skor harus memindahkan skor rinci setiap atlet yang dicatat di kertas skor ke aplikasi pengolah skor dalam waktu yang terbatas sehingga dapat terjadi kesalahan pencatatan yang selanjutnya mengakibatkan pertandingan tidak berjalan lancar dan jadwal kegiatan menjadi mundur. Kegiatan pengabdian dilakukan untuk memberikan pendampingan kepada tim wasit PERPANI Kabupaten Banyumas dan panitia kegiatan lomba panahan KAAJENDAM IV/Dip Cup 2023 dalam hal pemanfaatan teknologi informasi pendukung pelaksanaan lomba, yaitu pemilihan dan pelatihan penggunaan aplikasi pengolah skor menggunakan sistem aplikasi ianseo.net yang dibuat oleh IANSEO™. Kegiatan dilakukan mulai dari persiapan sebelum lomba dengan pelatihan dan pendampingan sampai dengan pelaksanaan lomba yaitu pencatatan skor, penginputan skor, dan publikasi skor. Pelatihan dan pendampingan terhadap wasit dan tim pencatatan skor berhasil dilaksanakan dengan baik dan lomba berjalan dengan lancar dapat dilihat dari persentasi waktu yang diperlukan rata-rata sebesar 52% proses pecatatan dan pengumuman skor dari semua kategori perlombaan, sehingga membuat rendahnya komplain dari tim peserta perlombaan dalam hal pengolahan dan pengumuman skor.
Transformasi Digital Bagi Siswa Tunarungu: Pelatihan SEO Copywriting Sebagai Peluang Karir Kristanto, Barlian; Setia Sandi Ariyanto, Arif; Diannike Putri, Diannike Putri; Aulia Zilmi Kafah, Aulia Zilmi Kafah; Edgina Rangga Arkananta, Edgina Rangga Arkananta; Nur Arifin, Nur Arifin; Siti Shinta Yulistiyani, Siti Shinta Yulistiyani; Esa Aditya Kurniawan, Esa Aditya Kurniawan
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 1 No. 2 (2024): November
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Digital transformation provides opportunities for individuals from various backgrounds, including deaf students, to access careers in the digital world. This article discusses a community service program offering SEO copywriting training designed specifically for deaf students as an effort to enhance their skills in digital marketing. The training was conducted with an inclusive approach, adapting content and teaching methods to meet the communication needs of deaf students. Participants were introduced to the basics of SEO, effective content writing strategies, and search engine-friendly copywriting techniques. Evaluation results showed that participants experienced improved understanding and skills in SEO copywriting, as well as saw new career opportunities. This initiative also highlights the challenges deaf students face in learning and working in the digital field and provides recommendations for developing similar programs. This training program is expected to serve as a model that inspires digital empowerment efforts for people with disabilities as they navigate the era of digital transformation.
USE OF TAM FOR EVALUATION OF INTERNSHIP INFORMATION SYSTEM Arif Setia Sandi A; Bambang Soedijono; Asro Nasiri
Jurnal TAM (Technology Acceptance Model) Vol 13, No 1 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i1.1216

Abstract

This study aims to evaluate the internship information system at a Vocational High School. To achieve this goal, it is necessary to perform statistical analysis and calculations on the influence of the relationship between each variable in the Technology Acceptance Model (TAM) with the addition of one external variable, namely self-efficacy variable. The approach used in this research is quantitative. The source of the data used is primary data, derived from the users of the internship information system through a questionnaire containing eighteen questions with five alternative answers using a Likert scale as a point determination. Respondents targeted in this study amounted to 202 respondents, but one other thing was constrained, only 180 respondents filled out the questionnaire. refers to the analysis obtained using WarpPLS, data obtained that: (1) the convenience factor has an influence on the benefits, in using the information system, (2) the use benefit factor has a real influence on the intensity and use of the information system, (3) the attitude of use has influence on the intensity of the use of information systems, (4) the intensity has an effect on the use of information systems in real or implementation. (5) self-efficacy has an influence on the ease of use of information systems.
PELATIHAN PENGGUNAAN APLIKASI SPSS UNTUK MENUNJANG TUGAS AKHIR MAHASISWA Setia Sandi A, Arif; Nugroho Triwibowo, Deny; Bagus Bambang Sumantri, Raden; Cipta Sigitta Haryono, Rito
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp195-199

Abstract

The training activity on the usage of the Statistical Analysis SPSS Application (Statistical Package for the Social Sciences) was conducted to enhance students' skills in analyzing data to support the completion of their final assignments. This article elucidates the methods and benefits of this training, tailored to suit the students' material needs, aiding them in finalizing their assignments. These sessions were conducted through a series of workshops accommodating students from diverse scientific backgrounds. The outcomes of these activities provided insights into the competency and proficiency regarding SPSS application use in enhancing students' statistical analysis skills. The implications of these activities could serve as a guide for higher education institutions in designing training programs that support the development of student’s academic skills in data analysis, thereby bolstering their final assignment requirements. The results of these activities demonstrate a significant improvement in students' understanding of statistical concepts, SPSS utilization, and the necessary data analysis skills required for final assignment research.
Klasterisasi Pemetaan Kedisiplinan Pegawai Berdasarkan Rekap Kehadiran menggunakan Algoritma Clustering K-Means Ashari, Imam Ahmad; Purwono, Purwono; Indriyanto, Jatmiko; Sandi A., Arif Setia
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp12-18

Abstract

Employee discipline is one of the key success factors in a company. Work discipline has an important role in the formation of a positive work environment. One of the things that shows employee discipline is the time of attendance. Attendance time is usually recorded at the time the employee enters and leaves. Disciplinary information can be mapped into several groupings so that it is easy for decision makers to read. One of the computational methods that can perform data mapping is the K-Means Clustering method. The K-Means Clustering method can group data based on their characteristics. In this study, attendance data were analyzed using the K-Means method to obtain disciplinary groupings. The number of Clusters is calculated using the elbow method, 3 Clusters are obtained which are the best Cluster choices, namely Clusters 0, 1, and 2. The data analysis process shows Cluster 2 is the Cluster with the best level of discipline. From the analysis, it shows that the K-Means Clustering method can classify data based on employee discipline. Based on these results, decision makers can be helped in assessing employee discipline at Universita Harapan Bangsa using the disciplinary data grouping that has been made.
Queue Optimization Using Heuristic-Based Decision Algorithms A Comparative Evaluation of Array-Based and Rule-Based Approache Apriliyanto, Erwin; Sandi A, Arif Setia; Rahayu, Yayu Sri
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.965

Abstract

Penelitian ini menyajikan evaluasi kinerja komparatif antara dua pendekatan pemrosesan keputusan ringan untuk klasifikasi antrean, yaitu model indeks berbasis array dan logika berbasis aturan tradisional (if-else). Tujuan utama penelitian ini adalah mengidentifikasi strategi algoritmik yang efisien dan dapat diterapkan pada sistem layanan cerdas waktu nyata. Metode berbasis array dalam penelitian ini mengadopsi pendekatan berbasis heuristik ringan yang dirancang untuk mencapai efisiensi tinggi dalam pemrosesan keputusan tanpa kompleksitas komputasi tinggi, sehingga cocok diterapkan pada sistem cerdas yang memerlukan respons cepat dan akurat. Metode kedua diuji menggunakan data kondisi antrean nyata dengan variasi jumlah data uji (50, 100, dan 200 entri). Fokusnya terfokus pada akurasi klasifikasi dan kecepatan eksekusi. Hasil pengujian menunjukkan bahwa model berbasis array mencapai akurasi klasifikasi sebesar 94,6%, lebih tinggi dibandingkan metode berbasis aturan yang hanya mencapai 88,2%. Dari sisi kecepatan, pendekatan array menunjukkan efisiensi yang signifikan dengan waktu pemrosesan rata-rata 0,49 hingga 0,67 detik per entri, atau 13 hingga 16 kali lebih cepat dibandingkan metode if-else yang memerlukan waktu 7,86 hingga 8,95 detik per entri. Temuan ini menunjukkan bahwa logika berbasis array lebih efisien, skalabel, dan cocok berinteraksi ke dalam sistem manajemen antrean cerdas yang membutuhkan respons tinggi dan akurasi
Memberdayakan Potensi Pelajar Tuna Rungu Melalui Pelatihan Copywriting Bahasa Inggris Berbasis Kecerdasan Buatan Kristanto, Barlian; Putri, Diannike; A, Arif Setia Sandi
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.17842

Abstract

Pendahuluan: Penyandang disabilitas, khususnya tunarungu, masih menghadapi hambatan dalam mengakses dunia kerja. Sekitar 65% perusahaan di Indonesia enggan mempekerjakan mereka karena kurangnya pemahaman terhadap potensi yang dimiliki. Studi ini bertujuan untuk memberdayakan pelajar tunarungu melalui pelatihan copywriting Bahasa Inggris berbasis kecerdasan buatan guna membuka peluang karier di industri digital global. Metode: Program dilaksanakan di SLB B YAKUT Purwokerto melibatkan 23 siswa SMALB dengan metode blended learning (60% tatap muka, 40% daring) selama 12 minggu. Materi meliputi copywriting dan penggunaan AI tools seperti ChatGPT dan Grammarly. Data dikumpulkan melalui pretest, postest, observasi, portofolio, dan kuesioner kepuasan. Hasil: Terdapat peningkatan rata-rata 40% dalam kemampuan copywriting. Sebanyak 75% proyek siswa memenuhi standar industri. Kepuasan peserta mencapai 85%, dan 80% merasa lebih percaya diri dalam menggunakan teknologi AI. Kesimpulan: Program ini efektif dalam meningkatkan keterampilan dan kepercayaan diri siswa tunarungu melalui pembelajaran berbasis teknologi.
Co-Authors Anggit Wirasto Apriliyanto, Erwin Arkananta, Edgina Rangga Arrofie Darmawan Ashari, Imam Ashari, Imam Ahmad Ashari Asro Nasiri Asro Nasiri Aulia Zilmi Kafah, Aulia Zilmi Kafah Bagus Bambang Sumantri, Raden Bambang Soedijono Bambang Soedijono Bambang Sumantri, R Bagus Cipta Sigitta Haryono, Rito Deny Nugroho Triwibowo Deny Nugroho Triwibowo Diannike Putri, Diannike Putri Dung, Le Hoang E. Ida Hidayanti Edgina Rangga Arkananta, Edgina Rangga Arkananta Esa Aditya Kurniawan, Esa Aditya Kurniawan Faizal Rizky Yuttama Fenika Bunga Prawida Suwanto Feriyanto, Yanuar Grace Maria Fitricia Panggabean Husna, Aqmal Miftahul Iis Setiawan Mangku Negara Iis Setiawan Mangkunegara Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irfan Arfianto Jayusman, Hadi Khairil Anwar KHOIRUN NISA Khoirun Nisa Kristanto, Barlian Mangku Negara, Iis Setiawan Mangku Negara, Iis Setiawan Mangkunegara, Iis Setiawan Muryanto, Muhammad Negara, Iis Setiawan Mangku Nugroho Triwibowo, Deny Nugroho, Agus Susilo Nur Arifin, Nur Arifin Nurrizki, Kiki Alfaini Pradestya Bima Arweina Prayoga, Estu Purwono Purwono, Purwono Purwono, Purwono Putri, Diannike Ramadya Wahyu Dwinanto Retno Agus Setiawan Rian Ardianto Ririn Damayanti Ririn Uke Saraswati riwibowo, Deny Nugroho Sandy Ferianda, Sandy Sarmin Sarmin Siti Shinta Yulistiyani, Siti Shinta Yulistiyani Slamet Slamet . Slamet Slamet Slamet Slamet Soedjatmoko Soedjatmoko Sony Sonjaya Sri Winda Hardiyanti Damanik susilo nugroho, agus Trivilia, Indah Triwibowo, Deny Nugroho Widadi, Budi Winda Neri Sari Yanuar Feriyanto Yayu Sri Rahayu, Yayu Sri Yusuf Fadlila Rahman