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All Journal Jurnal Informatika Universitas Pamulang Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JAMAIKA: Jurnal Abdi Masyarakat Journal of Artificial Intelligence and Digital Business Journal of Research and Publication Innovation Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi
Dimas Abisono Punkastyo
Universitas Pamulang
Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Transportation Other

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Impelementasi Sistem Absensi Karyawan dengan Metode SAW Untuk Evaluasi Penilaian Kerja Karyawan di PT. Sejahtera Abadi Muhammad Rifal Junaidi; Dimas Abisono Punkastyo
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/joaiia.v7i1.57514

Abstract

Employee performance assessment is very important to determine the extent to which employees contribute to the company. At PT. Sejahtera Abadi, the employee evaluation process is still carried out in writing and is less objective, especially in assessing employee discipline and work attendance to get a bonus. Therefore, this study aims to build a digital-based employee attendance system equipped with the Simple Additive Weighting (SAW) method to help the employee work evaluation process more objectively and measurably. The SAW method is used because it is able to calculate and compare employee values ​​based on several criteria such as number of attendance, punctuality of arrival, and level of discipline. This system is designed in the form of a web-based application so that it is easily accessible to all employees. The results of the system implementation show that the SAW method is effective in helping companies conduct employee assessments fairly and accurately. With this system, it is hoped that the evaluation process will be faster, more efficient, and more transparent.
Penerapan Algoritma K-Means Clustering untuk Segmentasi Pelanggan Berdasarkan Pola Sewa Kamera (Studi Kasus: Enocam Rental) Wahyu Aji Dwi Pangestu; Dimas Abisono Punkastyo
Jurnal Riset Informatika dan Inovasi Vol 4 No 3 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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Abstract

Penelitian ini menerapkan algoritma K-Means Clustering untuk segmentasi pelanggan berdasarkan pola sewa kamera di Enocam Rental. Masalah utama yang dihadapi adalah pencatatan transaksi sewa pelanggan yang masih dilakukan secara manual melalui WhatsApp, sehingga data belum terstruktur dan sulit dianalisis. Penelitian ini bertujuan menganalisis pola penyewaan serta mengelompokkan pelanggan berdasarkan kesamaan karakteristik sewa guna menghasilkan segmentasi objektif sebagai dasar penentuan strategi pelayanan. Pendekatan yang digunakan mengombinasikan metode kualitatif dan kuantitatif, dengan menerapkan metode Prototype untuk pengembangan sistem. Proses clustering didasarkan pada tiga variabel utama, yaitu frekuensi sewa, total transaksi, dan durasi sewa. Penentuan jumlah klaster optimal menggunakan Elbow Method yang menghasilkan k=3. Hasil penelitian menunjukkan bahwa sistem penyewaan berbasis web berhasil dibangun menggunakan Laravel, Tailwind CSS, PHP, dan MySQL. Algoritma K-Means berhasil mengelompokkan pelanggan ke dalam tiga klaster: pelanggan bernilai tinggi (high-value), sedang (mid-value), dan rendah (low-value). Segmentasi ini dapat digunakan sebagai landasan pengambilan strategi bisnis berbasis data guna meningkatkan efektivitas pelayanan pelanggan pada Enocam Rental.
Perancangan Sistem Pendukung Keputusan Rekomendasi Bimbingan Belajar Bagi Siswa Sekolah Dasar Menggunakan Metode SAW di MI Al Muhajirin Ardiansyah; Dimas Abisono Punkastyo
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 07 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The assessment of students’ tutoring needs at MI Al Muhajirin is still conducted manually based on teachers’ observations, which may lead to subjective and unstructured evaluations. This study aims to develop a web-based Decision Support System (DSS) to classify students’ tutoring needs objectively and systematically. The method applied in this research is Simple Additive Weighting (SAW), with the system development carried out using the Extreme Programming (XP) approach and tested through Black Box Testing and White Box Testing. The system was developed using the PHP programming language and a MySQL database. The results indicate that the system is capable of processing student data based on multiple assessment criteria and generating preference values along with tutoring recommendation classifications in a structured manner. The implementation of this system assists teachers in making more objective, consistent, and transparent decisions, while also facilitating systematic documentation of assessment results to support evaluation processes and communication with schools and parents.
Implementasi Sistem Penentuan Jumlah Produksi Harian dengan Metode Weighted Moving Average pada Kantin Karyawan Mohamad Ikhsan Komarudin; Dimas Abisono Punkastyo
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 4 No. 3 (2026): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia (INPRESS)
Publisher : CV. Shofanah Media Berkah

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Abstract

Determining the right daily production quantity is a challenge for culinary MSMEs in employee canteens, where production decisions are often still based on subjective estimates, leading to discrepancies between production output and customer demand. Warung Mba Mong at the DFI Retail Nusantara employee canteen faces similar obstacles in determining daily production for gado-gado, ketoprak, and ketupat/lontong sayur, resulting in the risk of running out of menus or wastage due to leftover food. This study aims to design and build a website-based information system that applies the Weighted Moving Average (WMA) method to generate more measurable daily production recommendations based on historical data. The WMA method with six periods (n = 6) and weights of 6,5,4,3,2,1 was applied to monthly production recap data from January 2024 to December 2025. The forecasting results were disaggregated into daily recommendations by dividing the monthly forecast value by the number of effective working days. Forecasting accuracy was measured using the Mean Absolute Percentage Error (MAPE), yielding average values of 10.01% for gado-gado, 10.11% for ketoprak, and 12.36% for ketupat/lontong sayur, all falling into the "Good" category. The system was developed using the Extreme Programming (XP) method and tested using Black Box (Equivalence Partitioning) and White Box (Basis Path Testing) techniques, indicating that all functions performed according to specifications. This study proves that the WMA-based information system effectively helps the stall owner determine daily production quantities more objectively, thus reducing the risk of menu shortages and raw material waste.
IMPLEMENTASI SISTEM PRESENSI ONLINE BERBASIS WEB DENGAN GEO-TAGGING MENGGUNAKAN METODE HAVERSINESTUDI KASUS PT WIFIKU INDONESIA Egano Syaban Albanu; Dimas Abisono Punkastyo
Journal of Research and Publication Innovation Vol 4 No 1 (2026): JANUARY
Publisher : Journal of Research and Publication Innovation

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Abstract

The high mobility of Technical Support employees at PT WiFiku Indonesia creates challenges in attendance and leave processes that are still handled manually, resulting in difficulties in validating attendance locations, delays in data recapitulation, and increased risk of administrative errors. This study aims to design and implement a web-based online attendance system that facilitates flexible attendance and leave submission from work locations while supporting centralized monitoring by the Human Resource Development (HRD) department. The research method used is descriptive qualitative, conducted through observation, interviews, and literature review, with system development applying the Extreme Programming method, which includes planning, design, coding, and testing stages. The system utilizes geo-tagging to record attendance location coordinates and the Haversine method to calculate the distance between the attendance location and the designated work-area point as a radius-based validation mechanism, and is equipped with visual proof in the form of selfie photos as well as check-in and check-out features. The results show that the developed system is able to record attendance and leave data in a structured manner, validate attendance according to work placement areas, and accelerate monitoring and data recapitulation processes by HRD. This study concludes that the implementation of a geo-tagging-based online attendance system using the Haversine method improves the efficiency, accuracy, and transparency of attendance management for field employees and has the potential to serve as an adaptive attendance solution for companies with onsite work characteristics.
Implementasi Algoritma K-Medoids Dalam Sistem Pengelolaan Iuran Warga Untuk Meningkatkan Transparansi Laporan Keuangan Berbasis Web Muhammad Sobirin; Dimas Abisono Punkastyo
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11510

Abstract

Pengelolaan iuran warga di RW 01 Desa Grogol Selatan saat ini menghadapi kendala transparansi akibat ketiadaan sistem pencatatan yang terintegrasi, yang berdampak langsung pada ketidakseimbangan laporan kas dan menurunnya tingkat kepercayaan warga terhadap pengurus. Penelitian ini bertujuan untuk mengimplementasikan algoritma K-Medoids dalam sistem pengelolaan iuran warga berbasis web guna meningkatkan transparansi dan akurasi laporan keuangan. Algoritma K-Medoids dipilih dan diterapkan karena memiliki tingkat stabilitas yang sangat baik dalam mengelompokkan data yang mengandung pencilan atau outlier, sehingga sangat efektif untuk memetakan pola pembayaran iuran warga secara objektif. Sistem aplikasi ini dibangun menggunakan bahasa pemrograman PHP dan basis data MySQL yang dirancang secara komprehensif, menyediakan berbagai fitur utama seperti pencatatan iuran secara digital, klasterisasi pola pembayaran warga, serta penghasilan pelaporan keuangan otomatis yang akuntabel. Hasil pengujian fungsionalitas dan performa menunjukkan bahwa sistem mampu menyajikan laporan keuangan yang jauh lebih terstruktur, akurat, dan transparan dibandingkan dengan metode pencatatan manual sebelumnya. Implementasi teknologi berbasis web ini terbukti berhasil meningkatkan akuntabilitas pihak pengurus lingkungan serta memudahkan partisipasi aktif warga dalam memantau sirkulasi keuangan komunitas secara real-time.
Sistem Pakar Diagnosis Penyakit Gigi Berbasis Web Menggunakan Metode Forward Chaining David Raihan; Dimas Abisono Punkastyo
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 08 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Kesehatan gigi dan mulut merupakan bagian penting dari kesehatan tubuh yang memerlukan proses diagnosis secara tepat. Berdasarkan hasil observasi dan wawancara di Cantika Dental Clinic, dokter gigi muda dan asisten masih mengalami kesulitan dalam melakukan diagnosis pada beberapa kasus penyakit gigi, terutama karena keterbatasan pengalaman serta sarana diagnostik. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web yang dapat membantu proses diagnosis penyakit gigi berdasarkan gejala yang dialami pasien. Metode inferensi yang digunakan adalah Forward Chaining, yaitu proses penelusuran yang dimulai dari fakta berupa gejala kemudian dicocokkan dengan aturan dalam basis pengetahuan hingga diperoleh kesimpulan berupa diagnosis dan rekomendasi penanganan. Data penelitian diperoleh melalui studi pustaka, observasi, dan wawancara, sedangkan pengembangan sistem menggunakan metode Extreme Programming yang meliputi tahapan planning, design, coding, dan testing. Hasil penelitian menunjukkan bahwa sistem mampu melakukan proses penelusuran gejala, menentukan diagnosis berdasarkan aturan yang tersimpan, serta menampilkan rekomendasi penanganan. Sistem yang dikembangkan dapat digunakan sebagai alat bantu bagi dokter gigi muda dan asisten dalam mendukung proses diagnosis di Cantika Dental Clinic
Co-Authors Ahmad Riyadi Aji Gunawan Ardiansyah Ari Syaripudin David Raihan Deshinta Ariani Egano Syaban Albanu Faikar Azman Rasyid Fajar Agung Nugroho Fajar Septian Farida Nurlaila Heri Haerudin Joko Riyanto Jureka Samosir Misbahul khoir Mohamad Ikhsan Komarudin Muhammad Rifal Junaidi Muhammad Sobirin Nupia Sarpina Wahyu Aji Dwi Pangestu