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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Penelitian Pendidikan IPA (JPPIPA) INTECOMS: Journal of Information Technology and Computer Science JURNAL TEKNOLOGI DAN OPEN SOURCE JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL MAHAJANA INFORMASI Community Engagement and Emergence Journal (CEEJ) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Djtechno: Jurnal Teknologi Informasi Jurnal Media Informatika Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Jurnal Kajian Ilmu Pendidikan (JKIP) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Media Computer Science Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Masyarakat Indonesia DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Wijaya, Rian Farta
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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

 1 
RANCANG BANGUN SISTEM PENGGAJIAN BERBASIS WEBSITE DALAM OPTIMALISASI PENGELOLAAN KEHADIRAN KARYAWAN PADA CV. RAJAWALI MANDIRI INDO JAYA MENGGUNAKAN METODE AGILE Sinaga, Santi Anggryani; Wijaya, Rian Farta; Dhany, Hanna Willa
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2770

Abstract

Abstract: CV. Rajawali Mandiri Indo Jaya faces challenges in managing employee attendance and payroll which are still done manually, so that it has the potential to cause errors in recording and calculating salaries that affect employee satisfaction and operational efficiency. This study aims to design and build a website-based payroll system that is integrated with employee attendance management features, which is expected to minimize errors and speed up the payroll process. This system was developed using the Agile method, which allows development to focus on user needs in stages and is adaptive to changes, and involves active users in the iterative process. The main features in the system include recording and monitoring employee attendance, automatic salary calculations based on attendance data and types of work, employee data management, and generating payroll reports. In addition, this system is equipped with user access that is differentiated according to role to maintain data security. System trials were conducted through functional testing and user evaluations, showing that the system was able to increase accuracy and efficiency in managing attendance and payroll by up to 60% compared to manual methods. With this system, it is hoped that CV. Rajawali Mandiri Indo Jaya can optimize the payroll process and increase the accuracy and transparency of employee attendance data, which ultimately supports the company's overall performance. Keywords: Web Based Payroll System, Employee Attendance, Agile, CV. Rajawali                  Mandiri Indo Jaya, Efficiency Abstrak: CV. Rajawali Mandiri Indo Jaya menghadapi tantangan dalam pengelolaan kehadiran dan penggajian karyawan yang masih dilakukan secara manual, sehingga berpotensi menimbulkan kesalahan pencatatan dan perhitungan gaji yang mempengaruhi kepuasan karyawan serta efisiensi operasional. Penelitian ini bertujuan untuk merancang dan membangun sistem penggajian berbasis website yang terintegrasi dengan fitur pengelolaan kehadiran karyawan, yang diharapkan dapat meminimalkan kesalahan dan mempercepat proses penggajian. Sistem ini dikembangkan dengan metode Agile, yang memungkinkan pengembangan berfokus pada kebutuhan pengguna secara bertahap dan adaptif terhadap perubahan, serta melibatkan pengguna aktif dalam proses iteratif. Fitur utama dalam sistem meliputi pencatatan dan monitoring kehadiran karyawan, perhitungan gaji otomatis berdasarkan data kehadiran dan jenis pekerjaan, pengelolaan data karyawan, serta pembuatan laporan penggajian. Selain itu, sistem ini dilengkapi dengan akses pengguna yang dibedakan sesuai peran untuk menjaga keamanan data. Uji coba sistem dilakukan melalui pengujian fungsional dan evaluasi pengguna, menunjukkan bahwa sistem mampu meningkatkan akurasi dan efisiensi dalam pengelolaan kehadiran dan penggajian hingga 60% dibandingkan metode manual. Dengan adanya sistem ini, diharapkan CV. Rajawali Mandiri Indo Jaya dapat mengoptimalkan proses penggajian dan meningkatkan akurasi serta transparansi data kehadiran karyawan, yang pada akhirnya mendukung kinerja perusahaan secara keseluruhan. Kata kunci: Sistem Penggajian Berbasis Web, Kehadiran Karyawan, Agile, CV. Rajawali Mandiri Indo Jaya, Efisiensi 
PENERAPAN METODE MULTIMEDIA DEVELOPMENT LIFE CYCLE (MDLC) DALAM PEMBUATAN APLIKASI MOBILE EDUKASI LINGKUNGAN “CINTA MANGROVE” Hermansyah, Hermansyah; Wijaya, Rian Farta; Wahyuni, Sri; Putra, Agil Dwi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2940

Abstract

Abstract: The degradation of mangrove ecosystems in coastal areas has become an increasingly concerning environmental issue, partly due to the lack of public knowledge and awareness regarding the importance of mangrove conservation. This study aims to develop a mobile environmental education application entitled “Cinta Mangrove” by applying the Multimedia Development Life Cycle (MDLC) method. The MDLC method consists of six stages: concept, design, material collection, assembly, testing, and distribution. In the evaluation stage, testing was conducted using pre-tests and post-tests to measure the improvement in users’ knowledge before and after using the application. Beta testing was carried out by comparing pre-test and post-test results through questionnaires. The results showed an increase in participants’ average understanding from 60% before using the application to 85% after its use. The findings indicate a significant improvement in participants' comprehension of the functions and importance of mangrove preservation. The "Cinta Mangrove" application is considered effective in delivering educational content in an engaging and user-friendly manner, and it successfully raises environmental awareness among the community. Therefore, this application can serve as an innovative solution to support educational and conservation efforts for mangrove ecosystems in coastal areas. Keywords: Agile, application development, ordering goods, delivery goods, information                 technology. Abstrak: Kerusakan ekosistem mangrove di kawasan pesisir merupakan permasalahan lingkungan yang semakin memprihatinkan, salah satunya disebabkan oleh kurangnya pengetahuan dan kepedulian masyarakat terhadap pentingnya pelestarian mangrove. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile edukasi lingkungan bertajuk “Cinta Mangrove” dengan menerapkan metode pengembangan Multimedia Development Life Cycle (MDLC). Metode MDLC terdiri dari enam tahapan, yaitu konsep, desain, pengumpulan material, pembuatan, pengujian, dan distribusi. Pada tahap evaluasi, dilakukan pengujian melalui pre-test dan post-test untuk mengukur peningkatan pengetahuan pengguna sebelum dan sesudah menggunakan aplikasi. Evaluasi dilakukan melalui pengujian beta dengan membandingkan hasil pre-test dan post-test melalui kuisioner. Hasilnya menunjukkan adanya peningkatan rata-rata pemahaman peserta dari 60% sebelum menggunakan aplikasi menjadi 85% setelah penggunaan. Hasil pengujian menunjukkan peningkatan signifikan dalam pemahaman peserta terhadap fungsi dan pentingnya pelestarian mangrove. Aplikasi “Cinta Mangrove” dinilai efektif dalam menyampaikan materi edukatif secara menarik, mudah digunakan, serta mampu meningkatkan kesadaran lingkungan masyarakat. Dengan demikian, aplikasi ini dapat menjadi solusi inovatif dalam mendukung upaya edukasi dan konservasi mangrove di wilayah pesisir. Kata kunci: MDLC, Edukasi Lingkungan, Aplikasi Mobile, Mangrove, Pesisir
PEMANFAATAN BUSINESS INTELLIGENCE UNTUK VISUALISASI DATA DAN PEMETAAN KASUS DATA KELUARGA BERISIKO STUNTING DENGAN MENGGUNAKAN TABLEAU Marsya, Alviona; Nasution, Darmeli; Wijaya, Rian Farta
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3160

Abstract

Abstract: The utilization of Business Intelligence (BI) with Tableau effectively aids in mapping and analyzing cases of families at risk of stunting. Stunting, a condition caused by chronic malnutrition, remains a major health issue in Indonesia, particularly in Langkat Regency, North Sumatra. A quantitative research methodology was applied using the BI framework, encompassing data collection, ETL (Extract, Transform, Load) processes, and interactive visualization through Tableau dashboards. Data from 2022 to 2024, including family risk categories and regional coordinates, were transformed into comprehensive visual representations. The visualization results demonstrate the effectiveness of Tableau in simplifying complex datasets and supporting more targeted interventions. Emphasis is placed on the importance of continuous monitoring and data updates to ensure accurate and timely responses to stunting cases. Keyword: Families At Risk Of Stunting; Business Intelligence; Data Visualization; TableauAbstrak: Pemanfaatan Business Intelligence (BI) dengan Tableau mampu membantu memetakan dan menganalisis kasus keluarga berisiko stunting. Stunting, sebagai kondisi kekurangan gizi kronis, menjadi masalah kesehatan utama di Indonesia, khususnya di Kabupaten Langkat, Sumatera Utara. Metodologi penelitian kuantitatif digunakan dengan kerangka kerja BI yang mencakup pengumpulan data, proses ETL (Extract, Transform, Load), serta visualisasi interaktif melalui dashboard Tableau. Data tahun 2022 hingga 2024, meliputi kategori risiko keluarga dan koordinat wilayah, diolah menjadi representasi visual yang komprehensif. Hasil visualisasi memperlihatkan efektivitas Tableau dalam menyederhanakan data kompleks dan mendukung tindakan yang lebih tepat sasaran. Pentingnya pemantauan berkelanjutan dan pembaruan data ditekankan agar respons terhadap kasus stunting dapat dilakukan secara akurat dan tepat waktu.Kata kunci: Keluarga Berisiko Stunting; Business Intelligence; Visualisasi Data; Tableau 
ANALISIS PENGELOMPOKAN JADWAL MENGAJAR GURU DI SMKN 1 STABAT MENGGUNAKAN METODE K-MEANS CLUSTERING Sutiono, Sulis; Wijaya, Rian Farta; Novelan, Muhammad Syahputra
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3550

Abstract

Abstract: This study aims to analyze the distribution of teaching load of teachers at SMKN 1 Stabat using the K-Means Clustering method. The main problem faced is the imbalance in the number of teaching hours between teachers which can affect the effectiveness of teaching and learning activities. The data used is the total weekly teaching hours of each teacher, which is taken from the document on the distribution of teaching tasks for the even semester of the 2024/2025 academic year. The K-Means method is used to group teachers into three categories of teaching load: light, medium, and heavy. The grouping process is carried out by determining the number of clusters (K = 3), initializing the centroid, calculating the distance of each data to the centroid, and updating the position of the centroid until the results are stable. The final results show that most teachers are included in the medium load cluster, while a small number are in the light and heavy categories. This shows that the distribution of the teaching load is not yet completely even. The application of K-Means has been proven to be able to provide an analytical picture of the distribution of teacher work, as well as support data-based decision making in education management. Keywords: K-Means Clustering, Teaching Load, Teacher Schedule, Data Clustering, SMKN 1 Stabat Abstrak: Penelitian ini bertujuan untuk menganalisis pembagian beban mengajar guru di SMKN 1 Stabat dengan menggunakan metode K-Means Clustering. Masalah utama yang dihadapi adalah ketidakseimbangan jumlah jam mengajar antar guru yang dapat memengaruhi efektivitas kegiatan belajar-mengajar. Data yang digunakan berupa total jam mengajar mingguan dari setiap guru, yang diambil dari dokumen pembagian tugas mengajar semester genap tahun ajaran 2024/2025. Metode K-Means digunakan untuk mengelompokkan guru ke dalam tiga kategori beban mengajar: ringan, sedang, dan berat. Proses pengelompokan dilakukan dengan menentukan jumlah klaster (K=3), menginisialisasi centroid, menghitung jarak masing-masing data ke centroid, serta memperbarui posisi centroid hingga hasil stabil. Hasil akhir menunjukkan bahwa sebagian besar guru tergolong dalam klaster beban sedang, sementara sebagian kecil masuk kategori ringan dan berat. Hal ini menunjukkan bahwa distribusi beban mengajar belum sepenuhnya merata. Penerapan K-Means terbukti mampu memberikan gambaran analitis terhadap distribusi kerja guru, serta mendukung pengambilan keputusan berbasis data dalam manajemen pendidikan. Kata kunci: K-Means Clustering, beban mengajar, jadwal guru, pengelompokan data, SMKN 1 Stabat
Co-Authors Aldi Alvin Andi Ernawati Anshari, Ari Aprianto, Miko Dwi Ardya, Dwika As'ary, Muhammad Hasyim Audry, Beby Aulia, Ananda Azhari, M. Idrus azwan, m Batubara, Supina Darmeli Nasution Deski Helsa Pane Dhany, Hanna Willa Diva, Krisna Dobberd, Stevany Veronica Dwi Anggraini Edi, Firman Eka Putra Eko Budianto EKO WAHYUDI Erika, Winda Fahmi Kurniawan Florencia, Joice Handayani, Sri Harahap, Aziddin Harahap, Sutan Putra Nauli Hardinata, Rio Septian Helmy, Ahmad Hermansyah Hermansyah Hrp, Abdul Chaidir Hutasuhut, Pasya Fahira Ibnutama, Khairi Irwan Syahputra Irwan Syahputra, Irwan Iswan, Mochammad Iwan Purnama Iwan Purnama Jabar, Ami Abdul Joefitra Zaqy, Muhammad Khairul Khairul , Khairul Khairul Khairul, Khairul Lubis, Darma Putra M. Syaifuddin, M. Malau, Sebastian Veron Marsya, Alviona Mentari, Siti Mhd Gilang Suryanata Muhammad Syahputra Novelan Muhammad Wahyudi Nainggolan, Irfan Nasution, Adhaini zahra Ningrum, Dwi Sekar Pratama, Wiko Pratiwi, Daratika Putra, Agil Dwi Putra, Randi Rian Rahayu Mayang Sari, Rahayu Mayang Ramadhani, Aldy Rio Septian Hardinata Robi Krisna Rudi Hermawan Saputra, Risfan Nazar Saragih, Juliyandri Septian, Muhammad Sigalingging, Deka S. N. Sinaga, Santi Anggryani Siregar, Andree Risky Yuliansyah Siregar, Andree Rizky Yuliansyah Sitepu, Andri Ismail Sitorus, Zulham Sofyan, Siti Nurhaliza Sri Wahyuni Sugeng Santoso Suhardiansyah Sukrianto, Sukrianto Sutiono, Sulis Syahputra, Zulfahmi Syamsiar, Syamsiar Tanjung, Miftah Rusydi Tasril, Virdyra Tumangger, Oktavia Utami, Rahayu Dwi Utomo, Rahmad Budi Zai, Yulianus Zalukhu, Anzas Ibezato Zulfahmi Syahputra