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All Journal Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Applied Information, Communication and Technology (JAICT) International Journal of Islamic Business and Economics (IJIBEC) RISTEK : Jurnal Riset, Inovasi, dan Teknologi Kabupaten Batang Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Litbang Kota Pekalongan KLIK: Kajian Ilmiah Informatika dan Komputer RISTEK: Jurnal Riset, Inovasi dan Teknologi Kabupaten Batang Journal of Artificial Intelligence and Digital Business IC Tech: Majalah Ilmiah SERVIRISMA: Jurnal Pengabdian kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering Journal of Technology Informatics and Engineering International Journal of Islamic Business and Economics (IJIBEC) International Journal of Information Technology and Business IC Tech: Majalah Ilmiah
Christianto, Paminto Agung
STMIK Widya Pratama
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 Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Product Sales Analysis based on sales level using the K-Means Clustering method Kinasih, Aisha Bethary; Christianto, Paminto Agung; Amalia, Nurul
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.7710

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a highly strategic role in driving Indonesia’s economic growth. Nevertheless, most business actors have not yet utilized digital technology to its full potential. One such example is Toko Nabila Daster, which recorded 475 sales transactions during the period of January–June 2025, but has not conducted an analysis to identify products with high, medium, or low sales levels. This situation may result in stock accumulation and ineffective promotional strategies. The objective of this study is to group products based on their sales levels using the K-Means Clustering method. The optimal number of clusters is determined through the Elbow Method, while the quality of clustering is assessed using the Davies-Bouldin Index (DBI). The results of the analysis indicate the formation of product clusters that distinguish best-selling, moderately selling, and low-selling categories. These findings are expected to serve as a foundation for business decision-making, particularly in designing promotional strategies and managing inventory more efficiently.
Analisis Kepuasan Pengguna E-Presensi Badan Kepegawaian Daerah Berbasis Website Menggunakan Metode SERVQUAL Handoyo, Sara Margaretha Setyawati; Christianto, Paminto Agung; Budijanto, Hari Agung
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.4972

Abstract

Penerapan sistem presensi elektronik pada Badan Kepegawaian Daerah (BKD) bertujuan untuk mendukung peningkatan efisiensi, transparansi, serta akuntabilitas dalam administrasi kepegawaian. Pemanfaatan sistem e-presensi diharapkan mampu mempermudah proses pencatatan kehadiran dan perizinan pegawai secara digital. Namun, dalam implementasinya masih ditemukan berbagai kendala, khususnya keterbatasan akses bagi pegawai di tingkat kelurahan yang harus mengajukan izin atau cuti melalui kantor kecamatan. Kondisi tersebut berpotensi menimbulkan ketidakefisienan, keterlambatan proses administrasi, serta menurunkan efektivitas pelayanan kepegawaian. Selain itu, perbedaan kemampuan pemanfaatan teknologi di kalangan pegawai turut memengaruhi optimalisasi penggunaan sistem e-presensi. Penelitian ini dilakukan untuk menelaah kualitas layanan sistem e-presensi BKD berbasis website dengan menggunakan metode Service Quality (SERVQUAL) yang mencakup lima dimensi utama, yaitu aspek fisik (tangibles), keandalan (reliability), daya tanggap (responsiveness), jaminan layanan (assurance), dan empati (empathy). Penelitian ini menggunakan pendekatan kuantitatif dengan pengumpulan data melalui instrumen survei berupa kuesioner yang diberikan kepada pegawai kecamatan dan kelurahan sebagai pengguna sistem. Analisis data dilakukan dengan membandingkan skor persepsi dan skor harapan pengguna melalui perhitungan kesenjangan (gap). Hasil penelitian diharapkan mampu memberikan gambaran mengenai tingkat kesesuaian antara layanan yang dirasakan dan ekspektasi pengguna, mengidentifikasi dimensi layanan yang paling membutuhkan perbaikan, serta merumuskan rekomendasi pengembangan sistem. Dengan demikian, sistem e-presensi diharapkan menjadi lebih mudah diakses, ramah pengguna, dan mampu mendukung efektivitas pengelolaan administrasi kepegawaian berbasis teknologi informasi di lingkungan pemerintahan.
An IoT-Based Smart Feeding System for Koi Fish Using Mamdani Fuzzy Logic Daru, April Firman; Hirzan, Alauddin Maulana; Putra, Galuh Ardiansyah; Christianto, Paminto Agung
Journal of Technology Informatics and Engineering Vol. 5 No. 1 (2026): APRIL | JTIE : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v5i1.480

Abstract

Koi feeding management requires precision in both feeding timing and feed quantity to maintain fish health and reduce mortality rates. Manual feeding practices are often inconsistent due to human limitations, leading to overfeeding or underfeeding. This study proposes an IoT-based smart feeding system for koi fish that integrates Mamdani fuzzy logic to determine adaptive feeding durations based on feed stock conditions. The system employs a NodeMCU ESP8266 microcontroller, an ultrasonic sensor for feed-level monitoring, a servo motor for feed dispensing, and the Blynk platform for real-time remote monitoring and control over the internet. Mamdani fuzzy inference is utilized to classify feed levels into linguistic variables (low, medium, and high) and generate appropriate feeding actions. Experimental results demonstrate that the proposed system operates reliably, with an average measurement error of 1.59%, indicating high accuracy in feed-level detection. The fuzzy logic controller effectively adjusts feeding duration according to feed availability, enabling consistent and controlled feeding schedules. The proposed system offers a practical and low-cost solution for intelligent koi fish feeding management and can be extended to broader applications in smart aquaculture systems.
Co-Authors Agus Ilyas Alauddin Maulana Hirzan Angkasa, Projo April Firman Daru Budijanto, Hari Agung Chasanah, Tri Uswatun Choliq Sabana Darmawan, Wachid Diah Madusari, Benny Faizal Kurniawan Handoyo, Sara Margaretha Setyawati Imtikhanah, Sobrotul Kinasih, Aisha Bethary Kuat Ismanto Kurniawan, Ichwan Latief, Vita Nur Maulana, Moh. Reza Mohammad Reza Maulana, Mohammad Reza Muhammad Rikzam Kamal Mujiyono Mujiyono Nuhayati, Siti Nur Fadhilah Nurul Amalia NURUL HIDAYAH Projo Angkasa Putra, Galuh Ardiansyah Restyandito Sattriedi Wahyu Binabar Sattriedi Wahyu Binabar Shinta Dewi Rismawati Siti Nuhayati Siti Nurhayati Siti Nurhayati Siti Nurhayati Slamet Joko Prasetiono Sobrotul Imtikhanah Suryo Pratikwo Susanto, Eko Budi Tory Ariyanto Tory Ariyanto Tri Agus Setiawan Tri Uswatun Chasanah Vita Nur Latief Zahro Zahro