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All Journal Jurnal Sistem dan Informatika Faktor Exacta Jurnal Inotera Jurnal Informatika Universitas Pamulang Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Education Technology TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Building of Informatics, Technology and Science bit-Tech Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JI-Tech Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat SENTRI: Jurnal Riset Ilmiah Abdi Jurnal Publikasi Jurnal Abdimas Maduma LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat MULTIPLE: Journal of Global and Multidisciplinary Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Jurnal Sains Komputer dan Sistem Informasi Jurnal Intelek Dan Cendikiawan Nusantara Riau Jurnal Teknik Informatika
Sartika Lina Mulani
Universitas Pamulang
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IMPLEMENTASI SISTEM COMPARE DATA STOCK DI PT. GELAEL SIGNATURE Joko Suwarno; Iwan Giri Waluyo; Hardiansyah; Sartika Lina Mulani Sitio
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 05 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This research aims to find out how much influence brand trust, brand awareness and perceived quality have on customer purchasing decisions at the Gelael MT Haryono Supermarket. Gelael Signature sells various types of retail goods, such as household utensils, not only selling retail goods, Gelael Signature also sells various daily necessities such as food, drinks, vegetables, and so on. The system development method for this application uses the SDLC method with a waterfall model which consists of 5 stages. These stages are needs analysis, system design, implementation, testing and maintenance. This application was built using the PHP programming language, MySQL database as the database. Based on the concept and design, this research produces a web-based goods inventory information system at PT. Gelael Signature.
Aplikasi Regresi Berganda untuk Menganalisis Pengaruh Gaya Kepemimpinan, Motivasi dan Disiplin Kerja Terhadap Kinerja Karyawan Willis Puspitasi Sari; Nurhasanah; Eka Safitri, Andin; Lina Mulani Sitio, Sartika
Riau Jurnal Teknik Informatika Vol. 3 No. 3 (2024): November 2024
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v3i3.3446

Abstract

Employee performance is a key factor in the success of an organization, because high employee productivity can increase operational effectiveness and efficiency. Various elements, such as leadership style, motivation, and work discipline, affect this performance. An effective leadership style can create a conducive work environment, which in turn motivates employees to work optimally. In addition, high motivation drives employees to achieve organizational goals, while good work discipline ensures that each task is carried out efficiently and in accordance with applicable procedures. Therefore, a deep understanding of these factors is essential to designing policies that can improve employee performance and support the achievement of overall organizational goals. This study aims to examine the influence of these three factors on employee performance at PT. Usaha Sarana Medika, using multiple regression analysis and data collected from 60 employees through questionnaires.
Perancangan Aplikasi Website untuk Sistem Informasi Rekam Medis di Klinik K-24 Merpati Sartika Lina Mulani Sitio; Darmawati
Riau Jurnal Teknik Informatika Vol. 4 No. 2 (2025): Juli 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i2.3479

Abstract

K-24 Merpati Clinic is one of the health service facilities that handles various patient needs, including recording and managing medical record data. However, the recording process that is still carried out manually causes various problems such as delays in searching for patient data, the risk of losing archives, and inefficiencies in the management of medical information. This problem has an impact on the quality of services and the speed of medical decision-making by health workers. As a solution, a website application was designed for a medical record information system that can be accessed in an integrated and real-time manner. This application aims to assist medical and administrative staff in managing patient data digitally, from registration, diagnosis, to medical history. The method used in the development of this system is the Waterfall model, which was chosen because it has a systematic workflow and is appropriate for projects with clearly defined needs from the outset. The result of this study is a website application that has been tested using the black box testing method and shows that all functions run well according to user needs. This system is able to improve work efficiency, speed up patient data search, and minimize the risk of information loss. With the implementation of this information system, K-24 Merpati Clinic can provide faster, more precise, and digitally organized health services.
Implementasi Metode Waterfall untuk Laporan Petugas Lapangan Berbasis Web Sitio, Sartika Lina Mulani; Sariadi, Slamet
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 2 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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Abstract

Indonesia Maritime Education and Logistics is a subsidiary of PT. Indonesian Harbor (Persero). This PT provides training, assessment and consulting services in the fields of ports, shipping, logistics and management. Improving the quality, profits and progress of the company is one of the programs implemented by PT. Indonesian Maritime and Logistics Education. Usually superiors such as SPV and DVP find it difficult to receive reports from field officers because they still report their work activities using manual forms, namely using paper as the report they receive from officers and officers must also attach before and after work photos taken within one month. and this often means that files on the cellphone are lost due to accidentally deleting files or updating the cellphone. The waterfall method is a system development method used because this method provides a sequential or ordered software life flow approach starting from analysis, design, coding, testing and support stages. With this web-based field officer reporting application, the officer reporting process becomes better because all reporting from start to finish is computerized and this also makes it easier for superiors to mentor the work of field officers which can be seen from the report results in the reporting system. by every officer.
Implementasi Metode Waterfall untuk Laporan Petugas Lapangan Berbasis Web Sitio, Sartika Lina Mulani; Sariadi, Slamet
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 2 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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Abstract

Indonesia Maritime Education and Logistics is a subsidiary of PT. Indonesian Harbor (Persero). This PT provides training, assessment and consulting services in the fields of ports, shipping, logistics and management. Improving the quality, profits and progress of the company is one of the programs implemented by PT. Indonesian Maritime and Logistics Education. Usually superiors such as SPV and DVP find it difficult to receive reports from field officers because they still report their work activities using manual forms, namely using paper as the report they receive from officers and officers must also attach before and after work photos taken within one month. and this often means that files on the cellphone are lost due to accidentally deleting files or updating the cellphone. The waterfall method is a system development method used because this method provides a sequential or ordered software life flow approach starting from analysis, design, coding, testing and support stages. With this web-based field officer reporting application, the officer reporting process becomes better because all reporting from start to finish is computerized and this also makes it easier for superiors to mentor the work of field officers which can be seen from the report results in the reporting system. by every officer.
PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK ANALISIS POLA DATA EKONOMI HISTORIS Neco, Abed; Saputra, Firman Aziz; Abdullah, Nazar Fadhil; Ramadhani, Rizky; Hermansyah, Testarina Tatiana; Sitio, Sartika Lina Mulani
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.879

Abstract

Historical economic and financial data are available in vast volumes, yet extracting non-trivial insights hidden within them remains a significant challenge, primarily due to the reliance on traditional, hypothesis-driven analysis methods. In the Indonesian context, the comprehensive application of clustering techniques to uncover objective data narratives remains unexplored, mainly raising the urgency of developing a data-driven approach. This study aims to address this gap by demonstrating the capabilities and flexibility of the K-Means algorithm as a robust exploratory analysis method. The study employs a comparative case study approach on five independent datasets purposefully selected to cover diverse domains and periods: bank merger trends (1971–1988), critical macroeconomic indicators (1992–2003), state-owned bank financial performance (2004–2014), bird’s nest exports (2017–2021), and comparable economic data from the United States (1930–1955). Methodologically, each dataset was rigorously pre-processed before being clustered using the K-Means algorithm, with the quality of the results quantitatively evaluated using the Silhouette Score, Davies-Bouldin Index, and Inertia metrics. The results demonstrate powerful clustering performance, with three of the five case studies achieving Silhouette Scores above 0.70, indicating dense and well-defined data segmentation. Key findings demonstrate that the formed clusters successfully map historical periods objectively; for example, the algorithm automatically isolates the extreme anomaly of the 1998 monetary crisis as a unique cluster, identifies the peak of the banking merger era as a phase of intense consolidation, and groups state-owned banks into distinct strategic segments based on their capital and profitability profiles. This study confirms that K-Means is an effective exploratory analysis method, capable of transforming complex historical data into structured insights to support more informed and evidence-based policy formulation.Meskipun data ekonomi dan keuangan historis tersedia dalam volume yang sangat besar, upaya untuk mengekstrak wawasan non-trivial yang tersembunyi di dalamnya tetap menjadi tantangan signifikan, terutama karena ketergantungan pada metode analisis tradisional yang bersifat hypothesis-driven. Dalam konteks Indonesia, aplikasi teknik Clustering secara komprehensif untuk mengungkap narasi data yang objektif masih belum banyak dieksplorasi, sehingga memunculkan urgensi untuk mengembangkan pendekatan berbasis data. Penelitian ini bertujuan untuk menjawab kesenjangan tersebut dengan mendemonstrasikan kapabilitas dan fleksibilitas algoritma K-Means sebagai metode analisis eksplorasi yang tangguh. Untuk mencapai tujuan ini, penelitian menerapkan pendekatan studi kasus komparatif pada lima dataset independen yang sengaja dipilih guna mencakup domain dan periode waktu yang beragam: tren merger bank (1971-1988), indikator makroekonomi kritis (1992-2003), kinerja keuangan bank BUMN (2004-2014), ekspor komoditas sarang burung walet (2017-2021), dan data ekonomi pembanding dari Amerika Serikat (1930-1955). Secara metodologis, setiap dataset diproses secara ketat melalui pra-pemrosesan sebelum dikelompokkan menggunakan K-Means, dengan kualitas hasil dievaluasi secara kuantitatif melalui metrik Silhouette score, Davies-Bouldin Index, dan Inertia. Hasil penelitian menunjukkan kinerja klasterisasi yang sangat kuat, di mana tiga dari lima studi kasus mencapai Silhouette score di atas 0.70, yang mengindikasikan segmentasi data yang padat dan terdefinisi dengan baik. Temuan utama menunjukkan bahwa klaster yang terbentuk berhasil memetakan periode-periode historis secara objektif; sebagai contoh, algoritma ini secara otomatis mengisolasi anomali ekstrem krisis moneter 1998 sebagai sebuah klaster unik, mengidentifikasi puncak era merger perbankan sebagai fase konsolidasi yang intens, serta mengelompokkan bank-bank BUMN ke dalam segmen strategis yang berbeda berdasarkan profil modal dan profitabilitasnya. Studi ini mengonfirmasi bahwa K-Means adalah metode analisis eksplorasi yang efektif, mampu mentransformasi data historis yang kompleks menjadi wawasan terstruktur untuk mendukung perumusan kebijakan yang lebih informatif dan berbasis bukti.
KLASTERISASI DATA : ANALISIS KINERJA K-MEANS PADA SEKTOR PAJAK, EKSPOR, PERIKANAN, MODAL, DAN SUMBER DAYA Nurba, Achmad S.W.A; Fathahillah, Dharma; Pratama, Muhamad Shafly; Bachtiar, Muhammad Rivaldi; Putra, Muhammad Chesta Adabi; Sitio, Sartika Lina Mulani
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.883

Abstract

This study aims to cluster Indonesian economic data patterns from five sectors: tax, export, fisheries, capital markets, and resources, using the K-Means algorithm. Data were obtained from BPS, the Ministry of Finance, the Ministry of Marine Affairs and Fisheries, the Financial Services Authority (OJK), and UN Comtrade. Pre-processing was carried out through data cleaning and normalization. The optimal number of clusters was determined using the elbow and silhouette methods. Clustering evaluation used Inertia, Silhouette score, and the Davies-Bouldin Index. The results show variations in cluster patterns in each sector, with the fisheries and capital markets sectors providing the best results (high silhouette scores). Visualization using PCA supports cluster interpretation. These findings demonstrate that K-Means is effective in economic data analysis and helps support more adaptive and data-driven policies.Penelitian ini bertujuan mengelompokkan pola data ekonomi Indonesia dari lima sektor: pajak, ekspor, perikanan, pasar modal, dan sumber daya, menggunakan algoritma K-Means. Data diperoleh dari BPS, Kementerian Keuangan, KKP, OJK, dan UN Comtrade. Pra-pemrosesan dilakukan melalui pembersihan dan normalisasi data. Jumlah klaster optimal ditentukan menggunakan metode elbow dan silhouette. Evaluasi klasterisasi menggunakan Inertia, Silhouette score, dan Davies-Bouldin Index. Hasil menunjukkan variasi pola klaster di tiap sektor, dengan sektor perikanan dan pasar modal memberikan hasil terbaik (silhouette score tinggi). Visualisasi menggunakan PCA mendukung interpretasi klaster. Temuan ini menunjukkan bahwa K-Means efektif dalam analisis data ekonomi dan bermanfaat untuk mendukung kebijakan yang lebih adaptif dan berbasis data.
Sistem Pendukung Keputusan Pemilihan Obat Berdasarkan Gejala Penyakit Menggunakan Metode AHP Ilham, Farizi; Sitio, Sartika Lina Mulani; Nardiono, Nardiono
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 8 (2025): SENTRI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i8.4385

Abstract

The selection of appropriate medication based on the symptoms experienced by patients is a crucial aspect of healthcare services, particularly in clinics like Klinik K-24 that handle various complaints quickly and efficiently. A common issue encountered is the subjectivity in medication selection, which can lead to inappropriate therapy and potential unwanted side effects. To address this issue, a system is needed that can assist in making objective and structured decisions. This study aims to design and develop a Decision Support System (DSS) to assist doctors or medical personnel at Klinik K-24 in determining the most appropriate medication choices based on the symptoms reported by patients. The method used in this research is the Analytical Hierarchy Process (AHP), which breaks down complex problems into a hierarchical structure and then compares criteria and alternatives to generate priority weights. The decision-making criteria include the effectiveness of the medication for the symptoms, side effects, availability in the clinic pharmacy, and medication cost. The medication alternatives analyzed are based on common symptoms such as fever, cough, and sore throat. The system's results show that the AHP method can provide structured medication recommendations with an acceptable level of consistency (CR < 0.1). With this DSS, the medication selection process is expected to become faster, more accurate, and standardized, thereby supporting the efficiency of medical services at Klinik K-24.
Rancang Bangun Alat Otomatis Pengganti dan Pengontrol Air dengan Deteksi Tingkat Kekeruhan dan PH Pada Akuarium Ikan Cupang Sitio, Sartika Lina Mulani; Nardiono; Samudra, Yuda
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 2 (2025): TELEKONTRAN vol 13 no 2 Oktober 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i2.16690

Abstract

Water quality that is not optimally maintained can have a negative impact on the health of ornamental fish, especially Bluerim betta fish that require an aquarium environment with a certain level of acidity and turbidity of the water. The problems that are often faced by ornamental fish hobbyists are delays in changing water and difficulties in monitoring water conditions manually. This study aims to design and build an automatic water replacement and control system in betta fish aquariums with the ability to detect turbidity levels and water pH in real-time. The system uses a pH-SEN0161 sensor to measure acidity, a turbidity-SEN0189 sensor to detect turbidity in NTU units, and an SRF05 ultrasonic sensor to measure water level. The software was developed using the Arduino IDE and implemented on the Arduino ATMega2560 microcontroller as well as the NodeMCU ESP8266 for data processing and automatic control. The test was carried out for 30 days with an ideal pH standard between 6–7 and a turbidity value below 400 NTU. The test results show that the system can work optimally in replacing and controlling the water conditions of the Bluerim betta fish aquarium, thus supporting the quality of life of the fish effectively and efficiently.
Co-Authors Abdullah, Nazar Fadhil Ahmad Al Khaidar Ahmad Arifin Ahmad Arifin Arifin Andika Gustiawan Anshar Daud apriyanto, budi Aries Saifudin Aries Saifudin Ariya Aritonang Bachtiar, Muhammad Rivaldi Bakri, Asri Ady Bima Guntara Citra Fitri Miladiyah Darmawati Delfi Yuliana Tanu Deny Setiawan Destin Mahardika Wijayanti Diki, Muhammad Asshidiqie Efronius Paduansi Eka Safitri, Andin Entis Sutrisna Faizi, Billy Nur Fajar Agung Nugroho Farida Nurlaila Fathahillah, Dharma Fauzan, Wildan Tino Fernando Gama Fikri Alfiansyah Fiqih Wijaya Genta Rausan Fikri Hardiansyah Hermansyah, Testarina Tatiana hidayatullah Al Islami Ilham Pratama Ilham, Farizi Irpan Kusyadi Irpan Kusyadi Kusyadi Iwan Giri Waluyo Joko Suwarno Judijanto, Loso Julianus Alfario Junianto, Mochamad Bagoes Satria Lely Panca Andriyanto Mahir, Shafa mohadib mohadib MUHAMMAD AGIL Muhammad Asshidiqie Diki Nadiyanti, Ria Nanang Nanang Nardiono Nardiono Nardiono Nardiono Nardiono, Nardiono Neco, Abed Nurba, Achmad S.W.A Nurhasanah Pratama, Muhamad Shafly Putra, Muhammad Chesta Adabi Ramadhani, Rizky Reza Fazriansyah Ridwan Rizki Maulana, Rizki Saputra, Firman Aziz Sariadi, Slamet Solihin Solihin Suryaningrat, Suryaningrat Susanna Dwi Yulianti K Suwarno Herry, Ayni Syahrul Ghufron Ramadhan Syarif Hidayatullah Teti Desyani Teti Desyani Desyani Wahyu Aldi Putra Widia Novita Sari Willis Puspitasi Sari Yuda Samudra Yulianti Yulianti Yulianti Yulianti Yulianti Yulianti Zakaria, Hadi