Article Per Year (5 Year)
p-Index From 2021 - 2026
2.248
P-Index
This Author published in this journals
All Journal Technologia: Jurnal Ilmiah Jurnal Pengabdian Masyarakat Tapis Berseri Journal of Artificial Intelligence and Digital Business Asia Information System Journal Journal of Software Engineering And Technology IJISCS (International Journal of Information System and Computer Science)
Martin, Afrizal
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
IMPLEMENTASI METODE AHP DALAM PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA DOSEN UNTUK MENINGKATKAN KUALITAS SDM STMIK PRINGSEWU Martin, Afrizal; Kristina, Marilin
Journal of Software Engineering and Technology. Vol 3, No 1 (2023): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v3i1.78

Abstract

Penilaian kinerja dosen merupakan upaya agar suatu perguruan tinggi dapat menjaga kualitas sumber daya manusianya. Penilaian dilakukan untuk mengevaluasi perfoma atau kinerja serta mengukur kontribusi dosen dengan tujuan untuk meningkatkan produktivitasnya.STMIK Pringsewu Sebagai kampus yang terkemuka, sudah tentu upaya untuk menjaga mutu dan kualitas kampus dengan menilai kinerja dosen sudah sering dilakukan. Akan tetapi terkadang kegiatan menilai ini tidak berlangsung secara baik karena terkendala oleh keterbatasan sistem penilaian. Untuk itu perlu ada sistem penilaian yang dapat membantu memudahkan pihak kampus untuk melakukan penilaian kinerja dosen. Salah satu sistem yang sering digunakan dalam menilai adalah sistem pendukung keputusan. Penelitian ini dilaksanakan untuk mendiskusikan tentang perancangan system pendukung keputusan penilaian kinerja dosen dengan menggunakan metode AHP, serta kriteria penilaian yang digunakan adalah pengajaran, penelitian, pengabdian dan unsure tambahan. Hasil penelitian yang diperoleh menunjukkan bahwa SPK penilaian kinerja dengan metode AHP mampu memberikan keputusan hasil kinerja dosen dengan baik
K-NEAREST NEIGHBOR ALGORITHM AS A PREDICTION METHOD BEST SELLING ELECTRONIC PRODUCTS Martin, Afrizal; Bowo, Ari; Dwifandi, Eviliana Putri
IJISCS (International Journal of Information System and Computer Science) Vol 8, No 3 (2024): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v8i3.1779

Abstract

The use of electric vehicles is now supported by a braking Development increasingly advanced technology rapid bring impact on various sectors, including sector trade. One of the affected sectors impact is trading product electronics. Products electronic be one of the most popular products among the public Because need will increasingly advanced technology increased. MK Store is having trouble in predict sale product electronic best seller, then from That done study optimization planning provision stock product electronics at MK Store with use prediction sale product electronic best seller. With implementing prediction models sale product electronic best seller at MK Store using data mining methods for optimize planning supplies stock product electronics at MK Store with use prediction sale product electronic best seller, and implementing a prediction model sale product electronic best seller at MK Store developed use K-Nearest Neighbor method in provision product electronics. Using The K-Nearest Neighbor algorithm is believed to can give very accurate results with count use distance neighbor nearest , and use variable 10 variables For predicted . Using the Orange tool because can make it easier in operate with use between drag-and-drop face create channel work, data analysis and own diverse widgets components that include data processing, modeling predictive, visualization and analysis text. The result of research conducted use the K-Nearest Neighbor algorithm produces mark with correlation positive (excellent), and the results prediction product electronic best seller at MK Store namely Magicom/Rice Cooker. With existence study This expected for study next, recommended expand range with develop criteria new and considering use method alternative.
TRANSFORMASI DIGITAL UMKM SANGGAR TAPIS PRINGSEWU: IMPLEMENTASI E-COMMERCE ANDROID UNTUK PENINGKATAN DAYA SAING martin, afrizal; Lestari, Kanti; Mardiyanto, Mardiyanto
Technologia : Jurnal Ilmiah Vol 17, No 1 (2026): Technologia (Januari)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v17i1.21226

Abstract

Penggunaan air yang tidak efisien dalam sektor pertanian menjadi tantangan utama dalam menjaga produktivitas lahan dan ketahanan pangan nasional. Penelitian ini bertujuan merancang dan mengimplementasikan sistem penyiraman tanaman otomatis berbasis Internet of Things (IoT) dengan menggunakan sensor kelembaban tanah untuk mengoptimalkan penggunaan air secara presisi. Metodologi yang digunakan adalah pendekatan prototyping, mulai dari identifikasi kebutuhan, perancangan sistem, implementasi perangkat keras dan lunak, hingga pengujian. Sistem ini memanfaatkan mikrokontroler ESP32 yang terhubung dengan sensor kelembaban tanah, modul relay, dan pompa air untuk secara otomatis menyiram tanaman ketika kelembaban tanah berada di bawah batas tertentu. Sistem ini juga memungkinkan pemantauan dan pengendalian jarak jauh melalui platform IoT. Hasil pengujian menunjukkan bahwa sistem mampu meningkatkan efisiensi penggunaan air sebesar 40–60% dibandingkan metode manual, serta mendukung konsep pertanian presisi dan berkelanjutan. Meski demikian, terdapat keterbatasan terkait ketergantungan pada koneksi internet dan pasokan listrik. Sistem ini diharapkan menjadi solusi inovatif dalam mendukung transformasi digital pertanian di Indonesia.
Pengaruh Penerapan Konsep Smart Village terhadap Pembangunan Desa Berbasis Digital di Pekon Yogyakarta Selatan martin, Afrizal; w, Widianto; m, Mardiyanto; joni, Joni
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edition Oktober)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v4i2.167

Abstract

The Smart Village concept emphasizes the development of rural communities that are independent and competitive through the utilization of Information and Communication Technology (ICT) to improve the quality of life. This concept encompasses several dimensions, including smart people, smart mobility, smart government, smart economy, smart living, and smart environmental management. This study aims to examine the implementation of the Smart Village concept and analyze its impact on village development in Pekon Yogyakarta Selatan, Gadingrejo District, Pringsewu Regency. The research employed a descriptive quantitative method. Data were collected through documentation, interviews, and the distribution of questionnaires to the local community. The findings indicate that the implementation of the Smart Village concept has a significant positive impact on the development of Pekon Yogyakarta Selatan, particularly in aspects of government services, improvement of human resources quality, and strengthening of the local economy. These results demonstrate that the Smart Village initiative in Pekon Yogyakarta Selatan has been effectively implemented and contributes to sustainable village development.
Co-Authors -, Widianto Ahmad Khumaidi Andoyo, Andreas Bowo, Ari Dwifandi, Eviliana Putri j, Joni Joni . Joni Joni Kristina, Marilin Lestari, Kanti m, Mardiyanto Mardiyanto Mardiyanto Miswan Gumanti Novita Andriyani s, Suyono Suyono Suyono W, Widianto Widiyanto Widiyanto