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All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal of Applied Informatics Jurnal Informatika Global STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Infotek : Jurnal Informatika dan Teknologi Madaniya Jurnal Teknik Informatika (JUTIF) Infotech: Jurnal Informatika & Teknologi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Dinamika Informatika (JDI) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Hartanti, Dwi
Universitas Duta Bangsa Surakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics

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Sistem Rekomendasi Pemilihan Jenis Lensa Kacamata Menggunakan Metode Knowledge Based Recommendation (Studi Kasus : Optik Wiratama Kacamata 2) Ulhaq, Ahmad Dia; Hartanti, Dwi; Sari, Aprilisa Arum
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 10, No 1 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v10i1.28938

Abstract

The main problem that customers often face in choosing eyeglass lenses is the lack of information that suits the user's specific needs, such as eye complaints, daily activities, and lens feature preferences. This study aims to build a recommendation system for selecting eyeglass lenses using the Knowledge-Based Recommendation approach with the Constraint-Based method. The system development methodology uses the Agile Software Development model, with iterative stages that allow for periodic system evaluation. Data were obtained through interviews with customers and staff of Optik Wiratama Kacamata 2, as well as direct observation of user needs. This system was built web-based with the PHP programming language and the Laravel framework. The system test results showed a level of recommendation accuracy with a recall value of 100% and an average precision of 89.16%, indicating that the system is able to provide relevant lens recommendations that suit user needs. This study contributes to providing digital solutions that help decision-making in selecting eyeglass lenses in a personal and efficient manner.
Evaluasi Kinerja Aparat Pengawas Internal Pemerintah (APIP) Berbasis Web Menggunakan Algoritma K-Means ibnu - salifi; Dwi Hartanti; Vihi Atina
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.95719

Abstract

Abstrak : Aparat Pengawas Internal Pemerintah (APIP) di Inspektorat Daerah Kabupaten Sragen memiliki peran penting dalam menjaga transparansi dan akuntabilitas pemerintah daerah. Namun, proses evaluasi kinerja yang masih manual dan subjektif mengakibatkan kesulitan dalam mengidentifikasi kinerja pegawai secara objektif dan efisien. Penelitian ini bertujuan untuk mengembangkan sistem evaluasi kinerja berbasis web yang memanfaatkan algoritma k-means untuk mengelompokkan pegawai APIP berdasarkan parameter kinerja tertentu, seperti budaya kerja BerAKHLAK, Sasaran Kinerja Pegawai (SKP), tingkat kehadiran, dan kompetensi. Metode penelitian menggunakan algoritma k-means untuk clustering data kinerja, dengan pendekatan pengembangan sistem model Waterfall. Data dikumpulkan melalui observasi, wawancara, dan kuesioner terhadap pegawai APIP di Inspektorat Daerah Kabupaten Sragen. Sistem yang dikembangkan bertujuan untuk menghadirkan alat bantu evaluasi yang tidak hanya cepat, tetapi juga akurat dan mendalam, memungkinkan pimpinan untuk memperoleh gambaran kinerja secara terstruktur dan berbasis data. Hasil penelitian menunjukkan bahwa sistem ini mampu mengelompokkan pegawai APIP ke dalam beberapa kategori kinerja yang lebih akurat yaitu menghasilkan cluster dengan 8 pegawai berkinerja baik, 15 pegawai berkinerja cukup, dan 19 pegawai dengan kinerja kurang. Implementasi sistem ini juga memberikan visualisasi data yang informatif, membantu dalam identifikasi potensi pengembangan individu maupun tim, serta menyusun strategi peningkatan kinerja secara menyeluruh. Sehingga sistem ini tidak hanya mempermudah proses evaluasi kinerja, tetapi juga memberikan dasar yang kuat bagi pengambilan keputusan dalam pengembangan kompetensi dan pelatihan pegawai. Kesimpulannya, penerapan algoritma k-means dalam evaluasi kinerja APIP terbukti efektif dalam meningkatkan kualitas pengawasan internal di lingkungan pemerintah daerah. Dengan demikian, sistem ini dapat menjadi model yang dapat direplikasi di berbagai instansi pemerintah lainnya untuk mendukung tata kelola yang lebih baik.====================================================Abstract : The Internal Government Supervisory Apparatus (APIP) at the Regional Inspectorate of Sragen Regency plays a critical role in maintaining transparency and accountability within the regional government. However, the manual and subjective performance evaluation process poses challenges in objectively and efficiently identifying employee performance. This study aims to develop a web-based performance evaluation system utilizing the k-means algorithm to cluster APIP employees based on specific performance parameters, such as the BerAKHLAK work culture, Employee Performance Targets (SKP), attendance rate, and competence. The research methodology employs the k-means algorithm for performance data clustering, using the Waterfall model for system development. Data was collected through observations, interviews, and questionnaires involving APIP employees at the Regional Inspectorate of Sragen Regency. The system is designed to provide a performance evaluation tool that is not only fast but also accurate and in-depth, enabling leadership to obtain structured and data-driven insights into employee performance. The research findings indicate that the system successfully categorizes APIP employees into several performance clusters, producing groups of 8 employees with good performance, 15 with average performance, and 19 with poor performance. The system implementation also provides informative data visualizations that aid in identifying individual and team development potential and devising comprehensive strategies for performance improvement. Thus, the system not only facilitates the performance evaluation process but also provides a robust basis for decision-making in developing competencies and training programs for employees. In conclusion, the application of the K-Means algorithm in evaluating APIP performance has proven effective in enhancing the quality of internal supervision within the regional government. Consequently, this system can serve as a replicable model for various other government agencies to support improved governance practices.
Pemodelan Sistem Pemilihan Tempat POI Terdekat di Wilayah Klaten Kota Menggunakan Metode Dijkstra oleh PT. Telkom Klaten Erlina Kumala Kusumawati; Dwi Hartanti; Tri Djoko Santosa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3063

Abstract

The Point of Interest (POI) represents a specific geographic location defined by its coordinates, including longitude and latitude, and holds value as a site of interest or utility. Examples of POIs include tourist attractions, hotels, restaurants, ATMs, pharmacies, health centers, retail shops, gas stations, and other categories integral to modern navigation systems. PT. Telkom Klaten has faced increased demands to conduct POI surveys efficiently, driven by advancements in technology that call for faster and more streamlined processes. A primary challenge in these surveys is the selection of an optimal route that minimizes time, costs, and fuel consumption, given that the company currently relies on manual input in Google Maps to determine distance and travel time. This manual approach may hinder survey efficiency and increase operational costs. To address this, an application employing the Dijkstra algorithm was developed to determine the shortest route effectively. The Dijkstra algorithm, known for selecting edges with minimal weight to connect sequential nodes, requires defined origin and destination points, thereby generating the most efficient route between them. This study applies the Dijkstra algorithm to optimize survey routes by modeling them as graph-based routes, aiming to identify the shortest and most efficient paths between multiple POI locations. The findings indicate that the Dijkstra algorithm significantly reduces travel distance and time, thereby achieving notable savings in fuel and operational time for POI surveys.
Pemodelan Sistem Rekomendasi Pemilihan Paket Internet IndiHome Menggunakan Metode Knowledge Fany Lestari; Dwi Hartanti; Herliyani Hasanah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3065

Abstract

As time goes by, the internet has become a basic human need. There are various internet service providers with various and interesting products. Each internet service provider has its own advantages and disadvantages. This makes customers confused about choosing a suitable internet package to use to support their activities. The Indihome internet package selection recommendation system uses a knowledge-based method and is designed to help users choose an internet package that suits their needs. This knowledge based method is based on existing knowledge. The use of a knowledge base is easy for users to understand and makes it possible to produce recommendations that suit user needs. It is hoped that the results of this system can be used as a consideration for consumers in making decisions regarding selecting the internet service package to be used and increasing customer satisfaction.
Co-Authors Adi Tiyas Ahmad Fathoni Afu Ichsan Pradana Alvian Ahmada Akhbar Anjar Setiawan Aprilisa Arum Sari Ardhi Tiya Setiawan Arif Wicaksono Septyanto Atina, Vihi Avianto Adi Pratama Bagas Muttaqi Bagus Adi Nugroho Bagus Irfanzah Arda Nugraha Bayu Tri Pramono Daffa Rizki Putra Noordi Dika Adi Pratama Divangga Revansa Arya Pradhana Dwi Handayani Dwi Kurniawan Saputro Dyah Aprimavista Cahyani Eka Wijanarka Satata Putra Enggar Wijaya Putra Erlina Kumala Kusumawati Ester Anugrayningtyas Fany Lestari Faulinda Ely Nastiti Fitroh Ahmad Abdul Aziz Hasanah, Herliyani Hasda Surya Putra Hiskia Kus Setiawan ibnu - salifi Indah Nofikasari Iqbal Hanan Junaidi Irfan Agus Prastowo Kevin Yoga Ananta Leny Monica Lidia Earlene Rendhiva Lola Sekar Arum Maskhul Ryan Ibrahim Matin Muhith Maulindar, Joni Meraldy Fiko Rastio Ajie Muhamad Daivany Nur Auilya Saleh Muhammad Arizal Yusuf Hermawan Muhammad Nur Ikhsanuddin Nadia Amalia Putri Nanang Setiawan Neha Poetri Setiawati Permatasari, Hanifah Praba Milantino A.R.K Pramudya Aziz Wisnuadi Puput Dwi Mandiri Raditya Koesyan Dipo Pramukti Rifqi Firdausi Arafad Rizki Hendra Kusuma Robi Wariyanto Abdullah Sandy Yustisio Oktaviandra Shelvi Azizah Sopingi Sri Lestari Tri Djoko Santosa Ulhaq, Ahmad Dia Ummi Kultsum Vincentius Anggarda P.M Wahyu Adi Pratama Yasinta istiqomah Yuda Abi Bagaskara Zariel Ardian Ekovih