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All Journal Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Impression : Jurnal Teknologi dan Informasi Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Rolly Gios Sholid
Universitas Merangin
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Pemberdayaan Petani Kelapa Sawit Melalui Penerapan Sistem Informasi Harga dan Transaksi TBS Berbasis Web di Bukit Subur Ichsandi Sandi; Rolly Gios Sholid; Widja Yanto; Hawari Al Haq; Adri Flouren Timor S; Rica Syofiana Sari; Lily Indria
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1087

Abstract

Abstrak Petani kelapa sawit di Desa Bukit Subur masih menghadapi permasalahan ketidaktransparanan informasi harga Tandan Buah Segar (TBS), pencatatan transaksi yang dilakukan secara manual, serta lemahnya pengelolaan hutang piutang antara petani dan pengepul. Kondisi ini menyebabkan ketidakseimbangan posisi tawar petani dan berpotensi merugikan petani. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberdayakan petani kelapa sawit melalui penerapan sistem informasi harga dan transaksi TBS berbasis web yang dinamakan SAWIT UMKM. Sistem ini dikembangkan menggunakan PHP 8 native, MySQL, serta antarmuka HTML5 dan JavaScript. Metode yang digunakan meliputi survei lapangan, pelatihan dan pendampingan penggunaan sistem, serta evaluasi pra-pasca. Hasil kegiatan menunjukkan peningkatan pemahaman peserta dalam menggunakan sistem sebesar 72% berdasarkan hasil kuis sebelum dan sesudah pelatihan. Sebanyak 87% peserta menyatakan aplikasi membantu transparansi harga TBS, dan 81% menyatakan pencatatan transaksi menjadi lebih akurat. Aplikasi ini diharapkan menjadi solusi digitalisasi yang berkelanjutan bagi ekosistem perkebunan kelapa sawit rakyat di Bukit Subur. Kata Kunci: kelapa sawit; sistem informasi; TBS; digitalisasi; pengabdian masyarakat Abstract Palm oil farmers in Bukit Subur Village still face challenges including a lack of transparency in Fresh Fruit Bunch (FFB/TBS) price information, manual transaction recording, and poor debt management between farmers and collectors. This community service activity aimed to empower palm oil farmers through the implementation of a web-based TBS price and transaction information system named SAWIT UMKM. The system was developed using native PHP 8, MySQL, and an HTML5/JavaScript interface. Methods employed included field surveys, system usage training and mentoring, and pre-post evaluation. Results indicate a 72% improvement in participant understanding of the system based on pre-post quiz scores. Additionally, 87% of participants reported that the application improved TBS price transparency, and 81% stated that transaction recording became more accurate. This application is expected to serve as a sustainable digitalization solution for the smallholder palm oil plantation ecosystem in Bukit Subur. Keywords: palm oil; information system; FFB; digitalization; community service
Optimalisasi Google Service dalam Digitalisasi Aktivitas Organisasi: Implementasi pada KIPAN Muhammad Tulus Akbar; Maryama Kurnia Amri; Yusrizal; Adri Flouren Timor; Rolly Gios Sholid; Hawari Alhaq
Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat Vol 3 No 1 (2026): Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Publisher : PT. Meja Ilmiah Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70308/voxpopuli.v3i1.362

Abstract

Digital transformation in organizations supports the acceleration of organizational change in managing their activities. One of the platforms that facilitates this process is Google Services, which enables integrated collaboration, communication, and data management. This community service program aims to optimize the use of Google Services to support the digitalization of organizational activities at KIPAN (Kader Inti Pemuda Anti Narkoba) of Jambi Province. The method employed was a participatory-perceptual approach through training, socialization, and hands-on practice involving 11 core administrators of KIPAN. Data were collected through field observations and analyzed using descriptive qualitative techniques. The results showed that 91% of participants had a very good understanding of the material presented, 73% were able to align the material with practical application, and 36% were capable of developing tasks and innovations using Google Services. These findings indicate that the program was effective in improving participants’ digital capacity, although further mentoring is still needed to strengthen innovation aspects. Overall, this program contributes to strengthening organizational capacity through the systematic use of digital technology.
Analisis dan Perancangan Clustering Siswa Baru Menggunakan Metode K-Means pada SMK Negeri 1 Sarolangun Hawari Alhaq; Widja Yanto; Ichsandi Ichsandi; Rica Syofiana Sari; Rolly Gios Sholid; Alegriya Windi Septiana
Impression : Jurnal Teknologi dan Informasi Vol. 3 No. 2 (2024): July 2024
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v3i2.1035

Abstract

Teknologi Informasi dan Komunukasi digunakan dalam berbagai jenis aktifitas didalam kehidupan saat ini, Teknologi informasi sangat berperan dalam organisasi perusahaan salah satunya Business intelligence. Salah satu penghasil knowledge yaitu data mining. Data mining merupakan suatu teknik pengumpulan data untuk membentuk pengetahuan baru dari data yang ada. Banyak teknik pengelompokan data yang digunakan salah satunya algoritma yang sering digunakan adalah K-Means. Algoritma K-Means adalah algoritma clustering yang paling sederhana dibanding dengan algoritma yang lain. Algoritma ini termasuk salah satu algoritma paling penting dalam data mining. K-Means membagi data kemudian mengelompokkannya kedalam beberapa cluster yang memiliki kemiripan dan memisahkan setiap cluster berdasarkan perbedaan antar masing-masing cluster. Algoritma ini telah dikemukakan oleh beberapa peneliti dari disiplin ilmu yang berbeda. Tujuan penelitian ini dapat menganalisa clustering siswa baru menggunakan metode K-Means pada SMK N 1 Sarolangun serta merancang prototype clusteringnya. Dimana manfaat yang ditemukan nantinya yaitu untuk meningkat akurasi dalam pengelompokan siswa baru. Information and Communication Technology is used in various types of activities in today’s life. Information technology plays a crucial role in organizational operations, one of which is Business Intelligence. One of the key sources of knowledge is data mining. Data mining is a technique for collecting data in order to generate new knowledge from existing data. There are many data clustering techniques used, and one commonly applied algorithm is K-Means. The K-Means algorithm is one of the simplest clustering algorithms compared to others. It is also considered one of the most important algorithms in data mining. K-Means partitions data and groups it into several clusters based on similarities and distinguishes each cluster based on their differences. This algorithm has been proposed by researchers from various academic disciplines. The objective of this study is to analyze the clustering of new students using the K-Means method at SMK N 1 Sarolangun and to design a clustering prototype. The benefit of this study is to improve the accuracy of new student grouping.  
Co-Authors Adri Flouren Timor Adri Flouren Timor S Alegriya Windi Septiana Hawari Al Haq Hawari Alhaq Ichsandi Ichsandi Ichsandi Sandi Lily Indria Maryama Kurnia Amri Muhammad Tulus Akbar Rica Syofiana Sari Widja Yanto Yusrizal