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<![CDATA[SISTEM INFORMASI PEMBUATAN PAS PENGELUARAN BARANG NON PRODUKSI PADA PT. ASTRA HONDA MOTOR JAKARTA ]]>
<![CDATA[Muhsin Mukiman]]>;
<![CDATA[Widiarina Widiarina]]>
<![CDATA[ JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 4 No 1 (2018): JITK Issue August 2018 ]]>
Publisher : <![CDATA[LPPM Nusa Mandiri ]]>
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<![CDATA[Di masa yang serba cepat ini, penggunaan komputer dan sistem-sistemnya sudah menjadi kebutuhan yang utama dalam rangka meningkatkan kinerja suatu perusahaan. Begitu juga dengan penggunaan internet yang semakin marak baik untuk kebutuhan perorangan, perusahaan, maupun pemerintahan. Dengan adanya internet akan merubah transaksi dari manual menjadi terkomputerisasi dan dapat bersifat online. PT. Astra Honda Motor adalah perusahaan manufaktur yang bergerak dalam bidang otomotif yang memproduksi sepeda motor Honda. Setiap harinya melakukan kegiatan yang berkaitan dengan pengeluaran barang. Dalam proses pengeluaran barang harus membuat pas pengeluaran barang sebagai surat ijin untuk mengeluarkan barang. Masalah-masalah yang ada dalam proses pembuatan pas pengeluran barang adalah masih manual, saat proses persetujuan membutuhkan tanda tangan pimpinan kerja, terkadang pimpinan kerja tidak ada ditempat sehingga menghambat dalam pembuatan pas pengeluaran barang. Masalah lain adalah karena belum terkomputerisasi sehingga saat pembuatan laporan menjadi tidak efektif dan tidak efisien. Untuk itulah diperlukan sebuah sistem informasi pembuatan pas pengeluaran barang berbasis website. Dalam perancangan sistem informasi ini menggunakan model pengembangan sistem waterfall.]]>
<![CDATA[SISTEM PENILAIAN KINERJA KARYAWAN PADA PT. IS LOGISTIK ]]>
<![CDATA[Titik Misriati]]>;
<![CDATA[Widiarina Widiarina]]>;
<![CDATA[Yoseph Tajul Arifin]]>;
<![CDATA[Amanda Subhi Pertiwi]]>
<![CDATA[ Jurnal Mantik Vol. 3 No. 1 (2019): May: Manajemen dan Informatika ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[Kinerja karyawan yang memenuhi standar yang telah ditetapkan dalam suatu perusahaan dapat diketahui dengan penilaian kinerja karyawan. Penilaian kinerja karyawan harus dilakukan dalam perusahaan mengetahui bagaimana karyawan dalam perusahaan tersebut melaksanakan tugasnya. PT. IS Logistik melakukan penilaian kinerja karyawan setiap setahun sekali. Penilaian ini dilakukan oleh dua orang atasan/pimpinan perusahaan. Hasil dari penilaian kinerja karyawan yang dilakukan pada PT. IS Logistik akan menentukan apakah karyawan kontrak tersebut diperpanjang kontrak kerjanya, karyawan kontrak diangkat menjadi karyawan tetap atau karyawan tetap mendapatkan kenaikan gaji. Selama ini, proses penilaian kinerja karyawan dilakukan secara manual dengan menggunakan form penilaian dan diolah menggunakan Microsoft Excel. Hal ini menyebakan beberapa kendala dalam perusahaan. Oleh sebab itu, pada penelitian ini diusulkan penggunaan aplikasi untuk penilaian kinerja karyawan pada PT. IS Logistik supaya dapat membantu permasalahan dalam penilaian kinerja karyawan.]]>
<![CDATA[PERAPAN METODE CERTAINTY FACTOR PADA APLIKASI PAKAR SELEKSI TES KEPRIBADIAN CALON KARYAWAN ]]>
<![CDATA[Cep Adiwihardja]]>;
<![CDATA[Puteri Syanti Mahadewi]]>;
<![CDATA[Widiarina Widiarina]]>
<![CDATA[ semanTIK Vol 5, No 2 (2019): semanTIK ]]>
Publisher : <![CDATA[Informatics Engineering Department of Halu Oleo University ]]>
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DOI: 10.55679/semantik.v5i2.8376
<![CDATA[Pada dunia kerja, banyak perusahaan yang memanfaatkan seorang psikolog (pakar psikologi) untuk menyeleksi calon karyawan karena penempatan karyawan yang tepat dapat membantu untuk meningkatkan produktivitas perusahaan. Penyeleksian calon karyawan melalui metode wawancara saja tidak akan cukup untuk menentukan calon karyawan tersebut layak atau tidak diterima, karena pada prakteknya terkadang kinerja yang diberikan tidak sesuai dengan hasil wawancara (interview). Di samping itu, biaya seorang psikolog yang cukup mahal membuat beberapa perusahaan kecil dan menengah lebih memilih tidak merekrut seorang psikolog sebagai divisi human resource. Oleh karena itu sebuah sistem pakar analisa kepribadian diharapkan dapat menjadi salah satu alternatif solusi agar proses penyeleksian lebih efisien dan optimal. Metode yang digunakan adalah Certainty Factor, pada metode tersebut dapat mengatasi ketidakpastian pengambilan keputusan dikarenakan dibutuhkan beberapa tes yang lebih kompleks dan lengkap untuk menentukkan kepribadian seseorang. Aplikasi ini akan memberikan hasil analisa tes berupa kecenderungan terbesar tipe kepribadian yang dimiliki calon karyawan sesuai jawaban yang diberikan beserta jumlah persentasenya. Berdasarkan penilaian pakar untuk ketepatan sistem dalam menganalisa kepribadian calon karyawan, terlihat bahwa aplikasi sistem pakar analisa tipe kepribadian ini memiliki tingkat rata-rata akurasi sebesar 90.84%.]]>
<![CDATA[Assignment of Motor Mechanics at the Tire Palace Using the Hungarian Method and Testing Software Quality Management (QM) ]]>
<![CDATA[Widiarina, Widiarina]]>;
<![CDATA[Mariskhana, Kartika]]>;
<![CDATA[Sintawati, Ita Dewi]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v7i2.11336
<![CDATA[Measurement of working time (time study) is basically an attempt to determine the placement of mechanical work from the length of work time required by a mechanic to complete a job. This study aims to place the optimal mechanical work in the context of service operational time efficiency and obtain optimal time savings that can be achieved by mechanics in working on motorcycle servicing so as to maximize income using the Hungarian Method. The purpose of this research is to optimize employee assignments by looking at the mechanical working time. The problems that occur at ISTANA BAN are the ineffectiveness of the work process time and the swelling of operational costs, especially in the work of Matic Kaburator, Injection Matic, Injection Duck, Kaburator Duck and Sport with 5 workers. The results of the Assignment Application with the Hungarian Method and Software Quality Management (QM) Testing, Evan mechanics serviced the Duck Kaburator motorbike with a service time of 25 minutes, Minus mechanic serviced the Injection Duck motorbike with a service time of 24 minutes, Hermon mechanic serviced the Sport motorbike with a service time of 27 minutes, mechanic Anton servicing the Matic Injection motorbike with a service time of 25 minutes, mechanic Zola servicing the Matic Kaburator motorbike with a service time of 26 minutes. After analyzing the possibilities, it can be concluded that all mechanics can service each type of motor if the assigned mechanic has worked on the specified type of motor. By minimizing mechanical service time, it will have an impact on Tire Zone revenue because the number of motorbikes being serviced is increasing. Total Tire Zone revenue can be increased from pre-implementation revenue using the Hungarian Method.]]>
<![CDATA[Implementation of Data Mining to predict sales of Bogo helmets using the Naïve Bayes algorithm ]]>
<![CDATA[Mariskhana, Kartika]]>;
<![CDATA[Sintawati, Ita Dewi]]>;
<![CDATA[Widiarina, Widiarina]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v7i4.11768
<![CDATA[Consumer needs for safety and comfort in driving are very important, especially for two-wheeled or motorcycle riders. A good helmet is a helmet that is safe and comfortable when worn. Helmet qualifications that meet SNI standards are open helmets and closed helmets. Transactions are carried out online, because it was still in a pandemic situation when it was established. By carrying the tag line "Ride Safety With Your Own Style", trying to educate the younger generation to keep paying attention to safety when driving but also not neglecting fashion. For the type of sale of bogo and retro helmet brands, with a variety of colors and affordable prices. A common problem faced is how to predict or forecast future helmet sales based on pre-recorded data. This prediction is very influential on the decision to determine the number of helmets that must be provided, if you order helmets in sufficient quantities and it turns out that only a few helmet sales are sold and this will cause the stock of helmets to accumulate. The results of predictions for the sale of bogo helmets in Baris True Instances amounted to 16 data, which means Valid with 53% data accuracy. Meanwhile, there are 10 data classified as Instancely Classified Instance which means Invalid, with data accuracy of 46.67%. The amount of accuracy in the Weka application is the same as the amount of accuracy in Excel calculations. From the explanation above, the Naïve Bayes algorithm method is the best solution for predicting important things in a business need and others.]]>
<![CDATA[Application Of The C4.5 Algorithm to Determine Security Guard Work Schedules ]]>
<![CDATA[Sintawati, Ita Dewi]]>;
<![CDATA[Widiarina, Widiarina]]>;
<![CDATA[Mariskhana, Kartika]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i2.12247
<![CDATA[All agencies, companies, and public spaces must employ security guards to maintain security. The problem with the security guard's schedule is that there is an imbalance in disciplinary issues, poor performance because there is no seniority that is emulated so that the guard is not optimal which results in the problem of losing employee items, working time is not according to the rules and there is a vacancy in personnel due to personnel not coming to work, suing With the existence of a policy in the placement and distribution of the right employee work schedule, it is hoped that it can synergize all elements in the institution so that the quantity and quality of the security guard's work can increase and be completed on time. One of the techniques in data mining is classification. By applying classification techniques to security guard data and work schedules, the Decision Tree method and C4.5 algorithm are developed. The results of data processing form the root node of the gender tree as the root, that those who get schedule A are men while those who get schedule B with high school and junior level education are women, besides that they get schedule A. The accuracy of all classifications of the correct number is 61, 53%.]]>
<![CDATA[Application of Data Mining for Clustering Human Development Index Based on West Java Province 2017-2022 ]]>
<![CDATA[Widiarina, Widiarina]]>;
<![CDATA[Mariskhana, Kartika]]>;
<![CDATA[Sintawati , Ita Dewi]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v9i1.13148
<![CDATA[Human development is used as a parameter to see development from the human side. The Human Development Index (HDI) explains how people get sufficient income, adequate health and education. Geographically, Indonesia is an archipelagic country where each province is spread across various islands separated by sea. Making the disparity in human development between provinces relatively high. The gap that occurs is still a problem that must be resolved immediately, because the gap in the human development index can hamper the government's goal of equalizing human welfare in Indonesia. −One of the problems related to population that West Java Province still has to face is the problem of imbalance in population distribution. Incomplete population distribution causes problems with population density and population pressure in an area. This research uses data sources from the West Java Province Central Statistics Agency (BPS). The data used in this research is data from 2017-2022 which consists of 27 regencies and cities of West Java Province. Therefore, researchers utilized the K-Means algorithm in clustering 27 Regencies and Cities of West Java Province. The data will be processed by clustering into 3 clusters, namely the high population area level cluster, the medium population area level cluster and the low population area level cluster. This research classifies population density using Ms. software. Excel and RapidMiner. The iteration process took place 3 times so that the results obtained were 8 regencies and cities with high population area clusters (C0), 0 regencies and cities with medium population area clusters (C1) and 19 regencies and cities with low population area clusters (C1). C2).]]>
<![CDATA[Exploring Regional Development Patterns using Machine Learning: A Python-based Clustering Analysis of Human Development Index in West Java ]]>
<![CDATA[Mariskhana, Kartika]]>;
<![CDATA[Sintawati, Ita Dewi]]>;
<![CDATA[Widiarina, Widiarina]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i2.13561
<![CDATA[Many local governments now prioritize human development when trying to raise the standard of living and welfare of their citizens. Developing effective development policies in West Java, one of Indonesia's most populous provinces, requires a thorough understanding of human development patterns in various districts and cities. Using the Human Development Index (HDI) as the primary indicator, we examine regional development patterns in this study using machine learning techniques, specifically clustering analysis. This study's scope includes an HDI analysis for each of West Java's 27 districts and cities from 2017 to 2022. Finding clusters of districts or cities with comparable human development traits and comparing and contrasting them are our primary goals. We provide a solution that allows for improved mapping and comprehension of human development patterns in West Java by utilizing the Python programming language as the primary tool and the K-Means clustering algorithm. The study's findings indicate that there are three major categories of districts and cities, each with a distinct human development pattern. By using clustering analysis, we can determine which districts or cities within each group have the highest and lowest levels of human development. This information helps policymakers plan more inclusive and sustainable development. In conclusion, a clustering analysis approach based on machine learning can be a helpful tool for understanding and creating more focused and efficient regional development policies in West Java and other areas.]]>
<![CDATA[Analysis of Malnutrition Status in Toddlers Using the K-MEANS Algorithm Case Study in DKI Jakarta Province ]]>
<![CDATA[Sintawati, Ita Dewi]]>;
<![CDATA[Widiarina, Widiarina]]>;
<![CDATA[Mariskhana, Kartika]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i4.14087
<![CDATA[Malnutrition in children is a serious health issue in various regions, including DKI Jakarta Province, which affects the physical and cognitive development of children. This research aims to classify malnutrition status in children using the K-Means algorithm, focusing on cases in DKI Jakarta. The objective is to identify patterns of malnutrition prevalence across different regions, serving as a basis for more effective interventions. The data used in this study includes the percentage of children with severely stunted, stunted, and normal nutritional status across six districts/cities in DKI Jakarta. The results of K-Means clustering show that Central Jakarta has the highest prevalence of severely stunted (10.50%) and stunted (13.01%) status, while West Jakarta has the lowest prevalence of severely stunted (4.62%) and stunted (10.22%) status. The solution offered by this research is the grouping of regions based on malnutrition prevalence, allowing for the identification of areas requiring priority intervention. The analysis results indicate that DKI Jakarta can be classified into several clusters based on malnutrition prevalence. The cluster with the highest malnutrition prevalence includes Central Jakarta, while the cluster with the lowest malnutrition prevalence includes West Jakarta and the Thousand Islands. The implementation of K-Means in this research provides an efficient approach to identifying groups of regions that need more attention in combating malnutrition in children. In conclusion, this research can serve as an important reference for policymakers in formulating more effective and efficient intervention strategies in DKI Jakarta, as well as inspire similar studies in other regions with different population characteristics]]>
<![CDATA[PENERAPAN METODE PROTOTYPE UNTUK SISTEM INFORMASI PENGADAAN BARANG BERBASIS WEB ]]>
<![CDATA[Ita Dewi Sintawati]]>;
<![CDATA[Widiarina Widiarina]]>
<![CDATA[ Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 5 No. 4 (2020): November ]]>
Publisher : <![CDATA[Yayasan Azam Kemajuan Rantau Anak Bengkalis ]]>
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DOI: 10.58487/akrabjuara.v5i4.1256
<![CDATA[Kegiatan pengadaan barang atau jasa akan selalu ada dalam setiap instansi pemerintahan maupun swasta. Kegiatan ini tidak bisa diabaikan begitu saja, karena pada dasarnya pengadaan adalah proses kegiatan pemenuhan kebutuhan. Secara umum kegiatan ini merupakan kegiatan untuk memperoleh barang melalui perencanaan kebutuhan sampai dengan terselesaikannya seluruh kegiatan untuk mendapatkan barang yang dibutuhkan. Namun sayangnya, masih banyak instansi atau perusahaan-perusahaan yang melakukan kegiatan pengadaan barang ini secara manual. Banyak kendala yang ditemui dengan sistem manual ini, antara lain: rendahnya tingkat keamanan data, sering terjadinya kesalahan dalam pencataan barang, dan waktu yang dibutuhkan untuk mencatat serta mencari-cari catatan proses pengadaan barang butuh waktu yang lama. Dengan fakta lapangan yang seperti itu, maka penulis tertarik membangun sebuah sistem pengadaan barang yang berbasis online. Dimana dengan adanya sistem ini diharapkan dapat memberikan solusi dari kendala-kendala sistem pengadaan barang secara manual. Metode penelitian ini dengan menggunakan prototype. Metode ini diterapkan pada sistem kecil maupun besar dengan harapan agar proses pengembangan dapat berjalan dengan baik, tertata serta selesai tepat waktu.]]>
