Articles
PERANCANGAN APLIKASI DATA MINING UNTUK KLASIFIKASI KELUARGA MISKIN MENGGUNAKAN METODE DECISION TREE
Fernanda, Enggi;
Suranti, Dewi;
Sudarsono, Aji
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 3 (2023): October 2023
Publisher : Smart Education
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DOI: 10.54314/jssr.v6i3.1463
Aplikasi data mining untuk klasifikasi keluarga miskin dibuat menggunakan bahasa pemrograman Visual Basic.Net. Untuk melakukan klasifikasi keluarga miskin, pada aplikasi telah diterapkan Metode Decision Tree dengan melihat hasil nilai Gain dan Entropy pada masing-masing cabang. Dimana cabang yang digunakan terdiri pekerjaan, Pajak Bumi Bangunan, lantai, dinding, sumber air, daya PLN dan penghasilan. Dengan adanya aplikasi ini, diharapkan dapat membantu pihak Kecamatan Kerkap Kabupaten Bengkulu Utara dalam menganalisa dan mengetahui keluarga miskin yang berhak untuk mendapatkan bantuan. Berdasarkan hasil pengujian yang telah dilakukan, fungsional dari aplikasi data mining untuk klasifikasi keluarga miskin dengan baik dan lancer sebagaimana mestinya, dan mampu memberikan informasi hasil analisis klasifikasi keluarga miskin melalui pendekatan decision tree.
Application Of Text Mining In Grouping Thesis Topics Using TF-IDF Method Based On Thesis Abstract
Andreswari, Delsy;
Suranti, Dewi;
Trianggara, Dimas Aulia
Jurnal Komputer Indonesia Vol. 3 No. 2 (2024): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu
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DOI: 10.37676/jki.v3i2.634
UPT (Technical Service Unit) Dehasen University Bengkulu Library documents student theses based on study programmes using the Slims 9 (Bulian) application. One of them is the Informatics Study Programme, Faculty of Computer Science, where there is a specialisation in software engineering and networking that distinguishes one thesis from another. This sometimes makes it difficult for the library to provide information to students who are looking for references, due to the large amount of thesis data that is managed and the difficulty in obtaining information on the percentage of the number of thesis topics from each thesis document. The application of text mining in grouping thesis topics using the TF-IDF Method based on thesis abstracts at the Dehasen University Library Bengkulu can help library staff in grouping theses in more detail for the same topic or theme, help library staff quickly find theses that are relevant to user needs, and can find out information on the percentage of the number of thesis topics from each title and abstract that has been submitted, especially in students of the Informatics Study Program, Faculty of Computer Science. The system has uploaded training data as much as 25 data which is used as the basis for the calculation of the TF-IDF Method. In the TF-IDF Method there are several processes that occur, namely Tokenizing, Filtering, Stemming and the final value of tf-idf. Based on testing that has been done on testing data as much as 3 thesis data, the results show that 2 theses belong to the data mining thesis topic group with a percentage of 66.77% and 1 thesis belongs to the decision support system thesis topic group with a percentage of 33.33%.
PENERAPAN METODE LOCATION BASED SERVICE (LBS) DALAM APLIKASI PRESENSI PEGAWAI PADA UNIVERSITAS DEHASEN BENGKULU
Haryanto, Muhammad Dicky Imansyah;
Aspriyono, Hari;
Suranti, Dewi
Teknosia Vol. 18 No. 2 (2024): Desember 2024
Publisher : UNIB Press
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DOI: 10.33369/teknosia.v18i2.38334
: This research develops a web-based attendance application using Location Based Service (LBS) technology at Dehasen University Bengkulu to overcome the limitations of fingerprint devices that often experience problems in recording fingerprints and other technical obstacles. The application was developed using the Waterfall method through the stages of needs analysis, system design, program code writing, testing, and implementation and maintenance. Designed using the Unified Modeling Language (UML) approach, and created using the Laravel framework and MySQL database. The attendance application has two main interfaces: admin and employee interface. The admin interface allows management of attendance data, real-time attendance monitoring, verification of leave or permission approval, and configuring attendance location points. The employee interface facilitates GPS-enabled attendance for inbound and outbound attendance, leave or permit applications, and access to attendance history. The test results show that the attendance application improves accuracy and efficiency in recording employee attendance. However, the presence application is still unable to detect location manipulation and further development is expected to detect or block location manipulation attempts.
IMPLEMENTASI ALGORITMA HASH-BASED UNTUK MENGETAHUI POLA PENJUALAN OBAT PADA APOTEK MITRA SEHAT MANNA BENGKULU SELATAN
Andini, Putri Mutiara;
Suranti, Dewi;
Sartika, Devi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education
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DOI: 10.54314/jssr.v7i4.2187
Apotek Mitra Sehat merupakan salah satu apotek yang berada di daerah Manna Bengkulu Selatan. Dalam operasionalnya, Apotek Mitra Sehat ini menyediakan pembelian obat-obatan dengan resep dokter (obat yang diharuskan menggunakan resep) ataupun bukan. Akan tetapi Apotek Mitra Sehat belum dapat memprediksi pemasokan data obat berdasarkan data transaksi. Karena data penjualan yang ada hanya sebatas data yang disimpan untuk laporan saja dan belum diolah sedemikian rupa untuk dimanfaatkan kembali. Untuk pengambilan keputusan dalam menentukan jumlah persediaan produk yang dapat disesuaikan dengan permintaan pasar Apotek Mitra Sehat belum menggunakan sistem dan masih dihitung secara manual. Oleh karena dilakukan penelitian ini dengan tujuan untuk mengimplementasikan metode Hash Based dalam pengelompokan data penjualan obat pada Apotek Mitra Sehat. Sehingga dengan mudah dapat menentukan dan mengklasifikasikan penjualan obat yang tinggi. Implementasi sistem menggunakan bahasa pemrograman PHP dan Database MySQL dan metode yang digunakan dalam penelitian ini adalah metode waterfall. Setelah dilakukan proses Hash Based pada Apotek Mitra Sehat dengan uji data maka didapatkan hasil tingkat penjualan produk tertinggi di Apotek Mitra Sehat. Hal ini dapat dijadikan acuan oleh Apotek Mitra Sehat untuk persediaan obat bulan berikutnya.
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM MEREKOMENDASIKAN GURU UNTUK MENGIKUTI UJI SERTIFIKASI
Nengsi, Ririn Agustia;
Suranti, Dewi;
Fredricka, Jhoanne
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education
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DOI: 10.54314/jssr.v7i4.2192
Sertifikasi guru adalah proses peningkatan mutu dan uji kompetensi tenaga pendidik dalam mekanisme teknis yang telah diatur oleh pemerintah. SMKN 01 Bengkulu Selatan belum menggunakan sistem yang terkomputerisasi dalam merekomendasikan guru untuk mengikuti uji sertifikasi. Hal ini dimaksudkan untuk proses transparansi dalam penilaian kinerja guru disekolah. Tujuan penelitian ini adalah/memudahkan pihak sekolah dalam memverifikasi dan merekomendasikan data guru yang akan mengikuti uji sertifikasi dari Diknas. Sistem Pendukung Keputusan menggunakan metode Simple Additive Weighting (SAW) di SMKN 01 Bengkulu Selatan ini dibuat menggunakan Bahasa Pemrograman PHP dan Database MySQL. Aplikasi ini dapat menampung data guru yang akan direkomendasikan untuk mengikuti uji sertifikasi di SMKN 01 Bengkulu Selatan. Metode Simple Additive Weighting (SAW) dapat digunakan dalam menentukan guru yang layak direkomendasikan untuk mengikuti uji sertifkasi di SMKN 01 Bengkulu Selatan. Berdasarkan pengujian yang telah dilakukan maka tidak terdapat error pada sistem dan hasil rata – rata jawaban responden yang mencapai 53% menjawab sangat setuju, 26% menjawab setuju, 14% menjawab kurang setuju dan hanya 14% responden yang menjawab tidak setuju. Maka dengan hasil pengolahan data tersebut dapat disimpulkan bahwasanya sistem ini sudah layak untuk digunakan.
DECISION SUPPORT SYSTEM FOR SELECTING HEALTHY TODDLERS USING THE SIMPLE ADDITIVE WEIGHTING METHOD AT UPTD PUSKESMAS IPUH
Pradila, Lara;
Suranti, Dewi;
Fredricka, Jhoanne
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education
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DOI: 10.54314/jssr.v7i4.2185
Pemilihan Balita Sehat di UPTD Puskesmas Ipuh dapat di katakan masih kurang efektif dan efisien. Karena proses pemilihan Balita Sehat masih mengunakan blangko sebagai media penilaian Balita Sehat. Tujuan penelitian ini yaitu menghasilkan aplikasi sistem pendukung keputusan pemilihan balita sehat pada UPTD Puskesmas Ipuh. Penelitian yang dilakukan membuat sebuah sistem yang dapat memberikan pertimbangan dalam melakukan pengambilan keputusan pemilihan untuk pemilihan Balita Sehat di UPTD Puskesmas Ipuh dengan menggunakan metode Simple Additive Weighting (SAW) sebagai basis dalam pengolahan data untuk perengkingan. Metode yang digunakan dalam penelitian ini adalah metode waterfall. Sistem pendukung keputusan ini dirancang menggunakan Bahasa Pemrograman PHP dan Databse MySQL. Berdasarkan pengujian yang dilakukan, dengan sample data yang digunakan maka didapatkan hasil bahwa aplikasi ini dapat digunakan untuk mempermudah dalam melakukan penilaian balita sehat. Hasil rata-rata jawaban responden yang mencapai 53% menjawab sangat setuju, 26% menjawab setuju, 14 % menjawab kurang setuju dan hanya 14% responden yang menjawab tidak setuju. Maka dari hasil pengolahan data tersebut dapat disimpulkan bahwasanya sistem ini sudah layak untuk digunakan. Karena lebih dari setengah responden menyetujui sistem ini untuk layak digunakan
Analysis of the Promethee Method in Providing Recommendations for Fisherman Groups Eligible for Grant Assistance
Anggara, Thetra;
Suranti, Dewi;
Sartika , Devi
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia
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DOI: 10.70963/jk.v1i1.13
The Kaur District Fisheries Service annually has a grant assistance program for fishermen such as the procurement of facilities and infrastructure. So far, the process of providing assistance is still carried out manually, starting from collecting data on fishermen groups to determining whether grant assistance for fishing groups is feasible or not. Of course, this requires quite a long time and in addition, the process of submitting proposals is still done manually, so there is often a backlog of documents at the Kaur District Fisheries Office. Analysis of the Promethee Method in providing recommendations for fishermen groups who are eligible for grant assistance was made using the Visual Basic .Net programming language (IDE Visual Studio 2010) and SQL Server 2008 database. Based on data from fisherman groups as many as 4 fisherman groups which have been analyzed using the Promethee Method, the results obtained that the Meluang Jaya fishermen group has the highest net flow promethee value compared to the 3 other groups, namely the Meluang Jaya Fishermen Group, it is recommended to receive grant assistance from the Kaur District Fisheries Service. Based on the results of system testing that has been carried out, the functionality of the recommendation application for fishermen groups who are eligible for grant assistance at the Kaur District Fisheries Service has been running as expected.
Empowering the learning community of junior high school teachers in the Sukaraja sector to implement the Merdeka curriculum
Selviani, Diah;
Suwarni, Suwarni;
Suranti, Dewi;
Kurnianto, Ridho Rahman;
Lestari, Monica Indah;
Andika, Miki
Community Empowerment Vol 10 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang
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DOI: 10.31603/ce.12348
The Merdeka curriculum is a curriculum that, in its learning process, refers to an approach based on talents and interests. One way to implement the Merdeka curriculum effectively is by optimizing learning communities within educational institutions. However, teachers face challenges in applying differentiated learning. This community service activity aims to enhance the knowledge and competencies of the learning community of junior high school teachers in the Sukaraja sector in implementing the Merdeka curriculum through the utilization of digital-based technology. The method used consists of three stages: preparation, workshop implementation, and evaluation. The results indicate that 86% of teachers experienced an increase in understanding and knowledge, 87% acquired new skills, and 75% produced high-quality outputs. This demonstrates that the empowerment activities significantly contributed to improving teachers' skills in implementing the Merdeka curriculum through digital-based technology utilization.
SISTEM PENDUKUNG KEPUTUSAN UNTUK PENILAIAN PROYEK SISWA SMK NEGERI 1 KOTA BENGKULU MENGGUNAKAN METODE VIKOR
Meilsandre, Muhamad Lio;
Suranti, Dewi;
Sartika, Devi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education
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DOI: 10.54314/jssr.v8i3.4213
Abstract: Decision Support System for evaluating projects of student at SMK Negeri 1 Bengkulu City using the Vikor Method can simplify the process of managing student project evaluation data while providing recommendations for the best student projects based on the final evaluation results in the form of rankings, sorted from the lowest to the highest Q index scores obtained by each student. Based on the data used for the project scores of Informatics subject for Grade X ULP 1 in the first semester of 2024/2025 academic year, involving 12 students, the results show that the project evaluation using the Vikor Method successfully identified 4 students with the highest scores. Based on the system testing conducted, it can be concluded that the decision support system application for student project assessment at SMK Negeri 1 Bengkulu City has been functioning well and successfully implemented the Vikor method on student project assessment data per academic year, ranking scores from the lowest to the highest. Keywords: Decision Support System, Student Project Assessment, the Vikor Method Abstrak: Sistem Pendukung Keputusan untuk penilaian proyek siswa SMK Negeri 1 Kota Bengkulu menggunakan Metode Vikor dapat mempermudah proses pengelolaan data penilaian proyek siswa, sekaligus memberikan rekomendasi proyek siswa yang terbaik berdasarkan hasil akhir penilaian berupa ranking dengan mengurutkan nilai indeks Q terendah ke nilai tertinggi yang diperoleh setiap siswa/i. Berdasarkan data yang digunakan pada nilai proyek mata pelajaran Informatika Kelas X ULP 1 Semester Ganjil Tahun Ajaran 2024/2025 sebanyak 12 siswa/i, diperoleh hasil bahwa penilaian proyek melalui tahapan Metode Vikor berhasil mengidentifikasi 4 siswa/i dengan nilai terbaik. Berdasarkan pengujian sistem yang telah dilakukan, dapat disimpulkan bahwa aplikasi sistem pendukung keputusan untuk penilaian proyek siswa SMK Negeri 1 Kota Bengkulu telah berjalan dengan baik dan berhasil menjalankan proses metode Vikor terhadap data penilaian proyek siswa per tahun ajaran dan mengurutkan nilai dari nilai terendah ke nilai tertinggi. Kata kunci: Sistem Pendukung Keputusan, Penilaian Proyek Siswa, Metode Vikor
Rancang Bangun Aplikasi Recruitment Karyawan Baru Menggunakan Metode Naive Bayes Classifier Di PT. Batavia Prosperindo Finance Tbk Kota Bengkulu
Feisal, Royki;
Suranti, Dewi;
Fredricka, Jhoanne
INCODING: Journal of Informatics and Computer Science Engineering Vol 2, No 2 (2022): INCODING OKTOBER
Publisher : Mahesa Research Institute
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DOI: 10.34007/incoding.v2i2.301
PT. Batavia Prosperindo Finane Tbk Bengkulu City is one of the companies engaged in the financing of four-wheeled vehicles. Since its inception on December 12, 1994, as a Multifinance Company, BPF has obtained a business license for a Financing Institution from the Ministry of Finance of the Republic of Indonesia which includes Financial Lease, Factoring, Credit Card and Consumer Finance. The company has not used a special application in determining the selection of new employee recruitment, and is still using it manually like one-on-one for the selection of new employees, so it is possible that the selection of employees is often long. One method that can solve this problem is by using the naive bayes classifier method, because the naive bayes classifier method is a method for solving multiple decision-making criteria, so the final calculation result has a probability for data analysis of new employee recruitment as the final output. Based on the results of observations using 50 applicant data, of which 30 data is accepted and 20 data is not accepted. With this method, it helps the company to find out which probability is the greatest to be able to help in overcoming the existing problems