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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Informatika Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal Informasi dan Komputer IJISCS (International Journal Of Information System and Computer Science) Jurnal Cendikia Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Informatika Software dan Network (JISN) IJISCS (International Journal of Information System and Computer Science) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Mawarni, Rima
STMIK Dian Cipta Cendikia Kotabumi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Other

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Pengolahan Data Mining Terhadap Penjualan Menngunakan Algoritma Apriori pada Toko Alfamart Mulya Asri Tulang Bawang Barat Sulasminarti; Rima Mawarni; Uswandi
Jurnal Informatika Software dan Network (JISN) Vol. 4 No. 1 (2023): Jurnal Informatika Software dan Network (JISN)
Publisher : Jurnal Informatika Software dan Network (JISN) diterbitkan oleh Lembaga Penelitian AMIK Dian Cipta Cendikia Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini dilatar belakangi dari hasil pengamatan, saat ini dalam melakukan transaksi penjualan Alfamart Mulya Asri Tulang Bawang Barat sudah menggunakan system komputerisasi pada transaksi penjualan dan mencatat data transaksi yang ada, namun data tersebut hanya berfungsi sebagai arsip dan menjadi data PO saja sehingga belum bisa digunakan sebagai data untuk melakukan prediksi hasil penjualan barang yang akan datang dan menjadi data valid sebagai arsipan data penjualan barang yang paling diminati oleh konsumen. Tujuan dari penelitian ini adalah penerapan data mining untuk memprediksi hasil penjualan barang yang paling diminati oleh konsumen dan mencari hubungan keterkaitan antar itemset barang yang menjadi bahan penelitian pada Toko Alfamart Mulya Asri Tulang Bawang Barat. Dari penerapan data mining tersebut dapat diketahuia bahwa data yang diolah dengan menggunakan Algoritma Apriori untuk mendapatkan hasil prediksi penjualan barang. Dengan melakukan frequent itemset dengan menggunakan teknik role asosiasi , dan menentukan kandidat yang mungkin muncul dan memperhatikan minimum support dan minimum confidence. Berdasarkan hasil dari penerapan aplikasi atau tools prediksi penjualan barang yang menggunakan Tanagra 1.4 maka didapatkan hasil yang sama dengan perhitungan manual pada Microsoft excel. Pada penerapan data mining untuk prediksi penjualan (Study Kasus Alfamart Mulya Asri Tulang Bawang Barat ) peneliti mendapatkan hasil 17 aturan association rules dengan aturan minimal support 30% dan minimal Confidence 60%.
Audit Pelayanan Masyarakat di Desa Sawojajar Menggunakan Metode IT-IL V4 Auliya Nur Mauli; Rima Mawarni; Rustam Rustam
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 2 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i2.3721

Abstract

Abstract The village government helps take care of the village and the people who live there. It's part of the bigger government of Indonesia and is overseen by the district government. The leader of a village is very important in making sure everything runs smoothly. They have helpers who work with them to get things done. This paper looks at how well people in charge of public services are doing their jobs, using a special way of measuring called IT-IL V4. It will suggest ways they can do better based on what IT-IL V4 shows.  Abstrak Pemerintah desa membantu  menjaga desa dan memastikan semua orang bahagia dan aman. Mereka bekerja dengan pemerintah yang lebih besar untuk memastikan semuanya berjalan lancar. Aspek terpenting dalam penyelenggaraan pemerintahan desa adalah kedudukan kepala desa sebagai pemimpin dan di bantu oleh perangkat desa pada saat melaksanakan tugas, kewajibandan fungsinya. Adapun tujuan dari skripsi ini adalah mengetahui ketetapan kinerja tata kelola manajemen pelayanan masyarakat berdasarkan hasil perhitungan IT-IL V4 dan memberikan rekomendasi perbaikan untuk meningkatkan tata kelola manajemen pelayanan dari perhitungan audit menggunakan metode IT-IL V4 
THE COMPARISON USING EXPECTATION-MAXIMIZATION ALGORITHM AND C4.5 ALGORITHM TO PREDICT THE RESULT OF BIOGAS PRODUCTION AS A POWER PLANT AT PT BUDI STARCH & SWEETENER (BSSW) Eriska Vivian Astuti eriska; Nurmayanti Nurmayanti; Rima Mawarni; Asep Afandi; Aris Munandar
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 3 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i3.1323

Abstract

Biogas is the result of the development of alternative energy that has formed through the decomposition of organic matter through an anaerobic fermentation process (without oxygen) that produces gas in the form of methane gas (CH4) which has burned. Biogas is a kind of renewable energy because it has a high methane content and calorific value. Methane has one carbon in each chain, which can produce combustion that is more environmentally friendly when compared to fuels that have long carbon chains using specific calculation techniques or methods, a data mining process has been carried out to locate interesting patterns or information in selected data to manipulate the data into more valuable information by extracting significant patterns from the database.
DIAGNOSIS OF SKIN DISEASES IN TODDLERS USING NAÏVE BAYES AND FORWARD CHAINING METHODS Sidik Rahmatullah; Rima Mawarni
IJISCS (International Journal of Information System and Computer Science) Vol 5, No 1 (2021): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v5i1.954

Abstract

The Center for Public Health is a functional organizational unit that implements health care that is thorough, integrated, evenly acceptable, and affordable to the community. The purpose of this research is to create an Expert System Application to detect skin diseases in toddlers according to the data in the public health center. The system development method used is the Extreme Programming (XP) method with working stages including planning, design, coding, and testing. The system is designed using Unified Modeling Language (UML) which includes use cases, activity diagrams, and chart classes, the software used is PHP (Hypertext Preprocessor) with MySQL databases and uses the Naïve Bayes and Forward Chaining methods. The end result of the creation of this App is to make it easier for users or the public in detecting skin diseases for toddlers.
Implementation Of Data Mining Sales Of Household Furniture At Smart Kitchen Shop Using The Method K-Means Sandi Kurnia Wati; Supriyanto Supriyanto; Rima Mawarni; Herman Afandi; I Putu Brama Arya; Yogas Habib Nurfaizi
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1334

Abstract

Household furniture is an item that is very much in demand by many people, especially mothers, the higher the number, the more demand. To get the desired information so that a store can sort out the inventory that must be met. So it takes a prediction for the sale of furniture products that are most requested by consumers which aims to facilitate the provision of stock goods. The purpose of this research is to apply data mining to determine what products or goods are most in demand, moderately desirable, less desirable. From the various data that the authors observe at the Smart Kitchen Store, namely the Smart Kitchen Store, it is still difficult to predict product inventory in the future. With this problem, we need to group the data based on the characteristics of product sales. In the grouping process, a grouping method will be used using the K-Means Algorithm as a manual calculation method and in its implementation a data mining software using RapidMiner Studio version 7.1 will be used.The results of the study consisted of 3 clusters, namely, 42 Most Interested Products (Double Stan Hangers, Napkins, and Stainless Dish Racks), 46 Moderately Interested Products (Super Mop Floor Mops, Surpets, and Electric Grater) and 32 Less Interested Products (Shower Hood 4 stacking, Ring Light, and stainless hood). at the Smart Kitchen Store, so that the data is used as a reference for the Smart Kitchen Store to manage the stock of goods so that the store does not disappoint customers because the goods or products you want to buy are not available.
Perancangan Aplikasi Analytical Hieararchy Process Berbasis Web Penentuan Penerimaan Beasiswa SMK Negeri 1 Talangpadang Rima Mawarni; Meri Parida
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 3, No 1 (2020): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v3i1.797

Abstract

Systemic data processing is a necessity that is immediately implemented in all service lines both government, education and trade. Scholarship data processing at SMK Negeri 1 Talangpadang still uses a manual system in the form of manually storing data in the Ecxel office application. The problem that often arises is the scattered distribution of scholarship receipt files each year. Scholarship selection criteria consist of Academic Achievement, NonAcademic Achievement, Personality, Mileage, Report card grades, Organizational, Parental dependents, Parents' income, and Parental status. The method used in this deccision making system is the Analytical Hierarchy Process method. In the process of developing an application using a structured model by planning it uses a use case diagram. The application system was developed by using the HTML programming language and MySQL Data Base then tested using the localhost system with the Xammp application.
Security Audit of The Public Sector Application Using COBIT 5 and ITIL V4 Framework Julianti Alavio; Rima Mawarni; Sulas minarti
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9622

Abstract

The use of information system-based applications has become commonplace in various sectors, including government agencies such as the Social Service and hundreds of villages in North Lampung. One of the applications used is SIKS-NG (Social Welfare Information System - Next Generation) which aims to facilitate the management of population data and community welfare programs. However, along with technological developments, data security is increasingly important to pay attention to. Cybercrime attacks, data leaks, and privacy violations are threats that must be taken seriously. The aim of this final assignment is to determine the extent of the security of the SIKS-NG application based on the results of COBIT 5 and ITIL V4 calculations and provide recommendations for improvements to increase information system security. The method used is the COBIT 5 and ITIL V4 method using the Align, Plan and Organize (APO13), Deliver, Support and Service (DSS05), Investment Management (IM14) domains. Data analysis uses the Capability Level, Maturity Level and Linkert Scale methods. The results of this research show that the Capability Level for the APO13 subdomain process obtained an average of 4.24 with a Gap of -0.24, DSS05 obtained an average value of 4.20 with a Gap of -0.20. From the overall results, the APO13 and DSS05 subdomain framework is at level 4 and has a Gap of -O.22, which means that at this level it shows that this subdomain has been achieved and fulfilled. Meanwhile, the Maturity Level for the IM13 subdomain process is on Scale 4 with an average value of 4.17 with a Gap of 0.83, which means it has not reached the target as expected. So this means that the security of the SIKS-NG application information system has the status of being well managed and must continue to be optimized, it's just that the program performance must be repaired and improved further. Keywords— System Security, COBIT 5, ITIL V4, Capability Level, Maturity Level
PENERAPAN DATA MINING DALAM EVALUASI HASIL PEMBELAJARAN SISWA SMP NEGERI 1 ABUNG SELATAN MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Adilla Okta Miranti; Rima Mawarni; Rustam Rustam; Dewi Triyanti
Jurnal Cendikia Vol 25 No 2 (2025): Jurnal Cendikia Vol. 25 No. 2 Oktober 2025
Publisher : LPPM ITBA Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2313/jc.v25i2.609

Abstract

Dalam proses evaluasi pembelajaran di sekolah sering kali muncul permasalahan dalam mengelola dan menganalis data siswa yang kompleks dan berjumlah besar. Di SMP Negeri Abung Selatan, proses evaluasi masih bersifat konvensional, sehingga kurang mampu memberikan gambaran menyeluruh mengenai capaian akademik siswa secara objektif. Karena itu, diperlukan pendekatan analis data yang mampu mengidentifikasi pola-pola kinerja siswa guna mendukung pengambilan keputusan yang lebih akurat dan berbasis data. Metode penelitian yang digunakan adalah pendekatan Kuantitatif dengan tahapan Knowledge Discovery in Database (KDD), yang mencakup seleksi data, pembersihan, Integrase, tranformasi, dan penerapan algoritma K-means. Data penelitian diambil dari Nilai Rapor siswa kelas VII hingga IX pada tahun ajaran 2021-2024, dengan sampel sebanyak 598 siswa (sekitar 25% dari populasi). Proses klasterisasi dilakukan menggunakan metode Euclidean Distance untuk menentukan kedekatan antar data, kemudian dikelompokan kedalam duan cluster utama : cluster siswa berprestasi tinggi dan cluster siswa dengan capaian sedang hingga rendah. Analisis dilakukan menggunakan Microsoft Excel dan divalidasi melalui perangkat lunak RapidMiner. Hasil penelitian menunjukan bahwa algoritma k-means Clsutering mampu mengelompokan siswa secara efektif berdasakan performa akademik, sehingga dapat digunakan sebagai alat bantu dalam evaluasi dan perencanaan strategi pembelajaran. Cluster 1 (Tinggi) 47 siswa, Sejumlah siswa yang memiliki nilai akademik tinggi yang konsisten dan Cluster 2 (Rendah) 49 siswa, Sejumlah siswa yang memerlukan perhatian lebih karena memiliki nilai akademik dibawah rata-rata
PENGARUH SELEKSI, PELATIHAN, PENEMPATAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN BANK MEGA SYARIAH KANTOR CABANG UJUNG BERUNG BANDUNG JAWA BARAT Laksamana Bangsawan; Uswandi Uswandi; Yovita Riska Ramadhina; Rima Mawarni; Susi Indriyani; Nurbaiti Nurbaiti
Jurnal Cendikia Vol 25 No 2 (2025): Jurnal Cendikia Vol. 25 No. 2 Oktober 2025
Publisher : LPPM ITBA Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2313/jc.v25i2.614

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh seleksi, pelatihan, penempatan, dan motivasi terhadap kinerja karyawan pada Bank Mega Syariah Kantor Cabang Ujung Berung Bandung, Jawa Barat. Sumber daya manusia merupakan faktor penting dalam menentukan keberhasilan organisasi, khususnya pada industri perbankan syariah yang menuntut profesionalisme dan kepatuhan terhadap prinsip syariah. Oleh karena itu, proses seleksi yang tepat, pelatihan yang berkesinambungan, penempatan yang sesuai dengan kompetensi, serta motivasi kerja yang tinggi diduga berpengaruh signifikan terhadap peningkatan kinerja karyawan. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Data dikumpulkan melalui penyebaran kuesioner kepada seluruh karyawan sebagai responden. Teknik analisis data yang digunakan adalah analisis regresi linear berganda untuk mengetahui pengaruh variabel independen (seleksi, pelatihan, penempatan, dan motivasi) terhadap variabel dependen (kinerja karyawan). Uji hipotesis dilakukan melalui uji t (parsial), uji F (simultan), serta koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa secara parsial maupun simultan, seleksi, pelatihan, penempatan, dan motivasi berpengaruh positif dan signifikan terhadap kinerja karyawan. Variabel motivasi merupakan variabel yang paling dominan dalam mempengaruhi kinerja karyawan. Temuan ini mengindikasikan bahwa peningkatan kualitas proses rekrutmen, pelaksanaan pelatihan yang efektif, penempatan yang sesuai kompetensi, serta pemberian motivasi yang berkelanjutan dapat meningkatkan kinerja karyawan secara optimal.
Co-Authors Adilla Okta Miranti Afandi, Asep Ahmad Badri Annisa Rismanitanti Ardiansyah Ardiansyah Aris Munandar Auliya Nur Mauli Bambang Suprapto David Nurhidayatullah Dewi Triyanti Dewi Triyanti Dewi Triyanti Dewi Zaurati Dodi Afriansyah Dodi Afriansyah Dwi Sartika Efendi, Dwi Marisa Elisa Ayu Putri Eriska Vivian Astuti eriska Fachri Pawiga fadila azka Herman Afandi I Putu Brama Arya Julianti Alavio Laksamana Bangsawan Linda Riyanti Meri Parida Meri Parida Mintoro, Sigit Ngajiyanto, Ngajiyanto Nurbaiti Nurbaiti Nurmayanti Nurmayanti Nurmayanti Nurmayanti Rahmatullah, Sidik Ramto Patama Rustam Rustam Rustam Rustam Sandi Kurnia Wati Sulas minarti Sulasminarti Sulis Nurbaiti Supriyanto . Supriyanto Supriyanto Susi Indriyani Uswandi Uswandi . Uswandi Uswandi Windy Dwi Bahari Yogas Habib Nurfaizi Yoggi Kurniawan Yovita Riska Ramadhina